2014 Periodic Emissions Inventory
for PM10
for the
Maricopa County, Arizona, PM10 Nonattainment Area

September 2016

2014 Periodic Emission Inventory for PM10
for the Maricopa County, Arizona PM10 Nonattainment Area
September 2016
Table of Contents
1. Introduction ....................................................................................................................................1
1.1
1.2
1.3
1.4
1.5
1.6

Overview .......................................................................................................................................1
Agencies responsible for the emissions inventory........................................................................1
Temporal scope .............................................................................................................................2
Geographic scope ..........................................................................................................................2
Overview of local demographic and land-use data .......................................................................3
1.5.1 Demographic profile ..........................................................................................................3
1.5.2 Land-use data .....................................................................................................................4
Emissions overview by source category .......................................................................................4
1.6.1 Point sources ......................................................................................................................4
1.6.2 Area (nonpoint) sources .....................................................................................................4
1.6.3 Nonroad mobile sources ....................................................................................................5
1.6.4 Onroad mobile sources ......................................................................................................6
1.6.5 Biogenic sources ................................................................................................................7
1.6.6 Summary of all source categories ......................................................................................7

2. Point Sources ................................................................................................................................13
2.1
2.2
2.3
2.4
2.5
2.6
2.7

2.8

Introduction and scope ................................................................................................................13
Identification of point sources ....................................................................................................13
Procedures for estimating emissions from point sources............................................................14
2.3.1 Calculation of PM2.5 emissions ........................................................................................15
2.3.2 Application of rule effectiveness .....................................................................................15
Detailed overview of point source emissions .............................................................................15
Emission reduction credits ..........................................................................................................16
Summary of point source emissions ...........................................................................................17
Quality assurance / quality control procedures ...........................................................................17
2.7.1 Emission survey preparation and data collection .............................................................17
2.7.2 Submission processing .....................................................................................................18
2.7.3 Analysis of annual point source emissions data for this inventory ..................................18
References ...................................................................................................................................19

3. Area (Nonpoint) Sources .............................................................................................................21
3.1
3.2

Scope and methodology ..............................................................................................................21
Fuel combustion ..........................................................................................................................21
3.2.1 Industrial fuel combustion ...............................................................................................21
3.2.1.1 Industrial distillate oil.........................................................................................21
3.2.1.2 Industrial natural gas ..........................................................................................22
3.2.2 Commercial/institutional fuel combustion .......................................................................23

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3.3

3.4

3.5

3.2.2.1 Commercial/institutional distillate oil ................................................................23
3.2.2.2 Commercial/institutional natural gas .................................................................24
3.2.3 Residential fuel combustion .............................................................................................24
3.2.3.1 Residential distillate oil ......................................................................................24
3.2.3.2 Residential natural gas .......................................................................................25
3.2.3.3 Residential liquefied petroleum gas (LPG) ........................................................25
3.2.3.4 Residential kerosene combustion .......................................................................26
3.2.3.5 Residential wood combustion ............................................................................26
Industrial processes .....................................................................................................................27
3.3.1 Chemical manufacturing ..................................................................................................27
3.3.2 Food and kindred products...............................................................................................28
3.3.2.1 Commercial cooking ..........................................................................................28
3.3.2.2 Grain handling/processing..................................................................................29
3.3.2.3 Ammonia cold storage .......................................................................................30
3.3.3 Secondary metal production ............................................................................................30
3.3.4 Nonmetallic mineral product manufacturing ...................................................................31
3.3.5 Mining and quarrying ......................................................................................................31
3.3.6 Wood product manufacturing ..........................................................................................32
3.3.7 Rubber/plastics product manufacturing ...........................................................................33
3.3.8 Fabricated metal products manufacturing ........................................................................34
3.3.9 Construction .....................................................................................................................34
3.3.10 Electrical equipment manufacturing ................................................................................38
3.3.11 Paved/unpaved road travel on industrial sites ..................................................................39
3.3.12 Industrial processes not elsewhere classified (NEC) .......................................................39
Waste treatment and disposal .....................................................................................................40
3.4.1 On-site incineration ..........................................................................................................40
3.4.2 Open burning ...................................................................................................................40
3.4.3 Landfills ...........................................................................................................................41
3.4.4 Publicly owned treatment works ......................................................................................42
3.4.5 Other waste ......................................................................................................................42
Miscellaneous area sources .........................................................................................................43
3.5.1 Windblown dust .................................................................................................................43
3.5.2 Agricultural activities.......................................................................................................48
3.5.2.1 Cotton ginning ....................................................................................................48
3.5.2.2 Tilling .................................................................................................................49
3.5.2.3 Harvesting ..........................................................................................................50
3.5.2.4 Travel on unpaved agricultural roads .................................................................51
3.5.2.5 Fertilizer application ..........................................................................................51
3.5.2.7 Livestock ............................................................................................................52
3.5.3 Humans ............................................................................................................................52
3.5.4 Backyard barbeques (residential charcoal grilling) .........................................................52
3.5.5 Structure fires ...................................................................................................................53
3.5.6 Aircraft engine testing......................................................................................................53
3.5.7 Vehicle fires .....................................................................................................................54
3.5.8 Crematories ......................................................................................................................54
3.5.8 Accidental releases ...........................................................................................................55
3.5.9 Wildfires ..........................................................................................................................55
3.5.10 Prescribed fires .................................................................................................................56
3.5.11 Unpaved parking lots fugitive dust ..................................................................................57

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3.6
3.7
3.8

3.5.12 Leaf blower fugitive dust .................................................................................................59
3.5.13 Offroad recreation vehicles fugitive dust .........................................................................60
Summary of all area sources .......................................................................................................62
Quality assurance/quality control procedures .............................................................................65
References ...................................................................................................................................66

4. Nonroad Mobile Sources .............................................................................................................69
4.1
4.2
4.3
4.4
4.5
4.6
4.7
4.8
4.9
4.10
4.11
4.12
4.13
4.14
4.15

Introduction .................................................................................................................................69
Agricultural equipment ...............................................................................................................70
Airport ground support equipment .............................................................................................71
Commercial equipment ...............................................................................................................71
Construction and mining equipment ...........................................................................................72
Industrial equipment ...................................................................................................................72
Lawn and garden equipment .......................................................................................................72
Pleasure craft...............................................................................................................................73
Railway maintenance equipment ................................................................................................73
Recreational equipment ..............................................................................................................73
Aircraft ........................................................................................................................................74
Locomotives................................................................................................................................79
Summary of all nonroad mobile source emissions .....................................................................80
Quality assurance procedures .....................................................................................................80
References ...................................................................................................................................81

5. Onroad Mobile Sources ...............................................................................................................83
5.1
5.2

5.3
5.4
5.5

Introduction .................................................................................................................................83
Exhaust, tire wear, and brake wear emissions calculation ..........................................................84
5.2.1 MOVES2014a model .......................................................................................................84
5.2.2 MOVES2014a local input data ........................................................................................84
5.2.2.1 Fuel data .............................................................................................................84
5.2.2.2 I/M programs ......................................................................................................84
5.2.2.3 Meteorological data ............................................................................................85
5.2.2.4 Vehicle population .............................................................................................85
5.2.2.5 Source type age distribution ...............................................................................85
5.2.2.6 Annual VMT ......................................................................................................86
5.2.2.7 Road type distribution ........................................................................................86
5.2.2.8 VMT fraction......................................................................................................86
5.2.2.9 Average speed distribution .................................................................................86
5.2.2.10 Ramp fraction .....................................................................................................86
5.2.2.11 Alternative vehicle and fuel technologies (AVFT) strategy ..............................87
5.2.2.12 Stage II refueling control programs ...................................................................87
5.2.3 MOVES2014a outputs .....................................................................................................87
5.2.4 MOVES2014a emission estimates ...................................................................................87
Fugitive dust emissions...............................................................................................................91
5.3.1 Paved road fugitive dust emissions ..................................................................................91
5.3.2 Unpaved road fugitive dust emissions .............................................................................94
Summary of particulate emissions from onroad mobile sources ................................................94
Quality assurance process ...........................................................................................................96

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5.6

5.5.1 VMT estimates .................................................................................................................96
5.5.2 Emission estimates ...........................................................................................................97
5.5.3 Draft particulate matter emissions inventory ...................................................................97
References ...................................................................................................................................97

6. Biogenic Sources.............................................................................................................................99
6.1
6.2
6.4
6.5
6.6

Introduction .................................................................................................................................99
Modeling domain ........................................................................................................................99
6.3.1 Land cover data ..............................................................................................................100
6.3.2 Meteorological data .......................................................................................................101
Emission estimation ..................................................................................................................103
Summary of biogenic source emissions....................................................................................104
References .................................................................................................................................104

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List of Tables
Table 1.2–1.
Table 1.5–1.
Table 1.5–2.
Table 1.6–1.
Table 1.6–2.
Table 1.6–3.
Table 1.6–4.
Table 1.6–5.
Table 1.6–6.
Table 1.6–7.
Table 1.6–8.
Table 1.6–9.
Table 1.6–10.
Table 2.2–1.
Table 2.4–1.
Table 2.5–1.
Table 2.6–1.
Table 3.2–1.
Table 3.2–2.
Table 3.2–3.
Table 3.2–4.
Table 3.2–5.
Table 3.2–6.
Table 3.2–7.
Table 3.2–8.
Table 3.2–9.
Table 3.2–10.
Table 3.2–11.
Table 3.3–1.

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Chapter authors and QA/QC contacts for this report. ....................................................1
Demographic profile of Maricopa County and the PM10 nonattainment area. ..............3
Land use categories used to apportion emissions. .........................................................4
Annual and typical daily emissions from point sources in Maricopa County
and the PM10 nonattainment area (including emission reduction credits). ....................4
Annual and typical daily emissions from area sources in Maricopa County. ................5
Annual and typical daily emissions from area sources in the PM10
nonattainment area. ........................................................................................................5
Annual and typical daily emissions from nonroad mobile sources in Maricopa
County. ...........................................................................................................................5
Annual and typical daily emissions from nonroad mobile sources in the PM10
nonattainment area. ........................................................................................................6
Annual and typical daily emissions from onroad mobile sources in Maricopa
County. ...........................................................................................................................6
Annual and typical daily emissions from onroad mobile sources in the PM10
nonattainment area. ........................................................................................................6
Annual and typical daily emissions from biogenic sources in Maricopa County
and the PM10 nonattainment area. ..................................................................................7
Annual and typical daily emissions from all source categories in Maricopa
County. ...........................................................................................................................7
Annual and typical daily emissions from all source categories in the PM10
nonattainment area. ......................................................................................................10
Name and location of all point sources in Maricopa County.......................................14
Annual and typical daily emissions from point sources, by facility. ...........................16
Available Emissions Reduction Credits (ERCs) as of December 31, 2014. ...............16
Annual and typical daily point source emissions (including emission reduction
credits)..........................................................................................................................17
Annual emissions (tons/yr) from area-source industrial distillate oil
combustion. ..................................................................................................................22
Typical daily emissions (lb/day) from area-source industrial distillate oil
combustion. ..................................................................................................................22
Annual and typical daily emissions from area-source industrial natural gas
combustion. ..................................................................................................................23
Annual emissions (tons/yr) from area-source commercial/institutional
distillate oil combustion. ..............................................................................................23
Typical daily emissions (lb/day) from area-source commercial/institutional
distillate oil combustion. ..............................................................................................23
Annual and typical daily emissions from area-source commercial/ institutional
natural gas combustion. ...............................................................................................24
Annual and typical daily emissions from residential distillate oil combustion. ..........25
Annual and typical daily emissions from residential natural gas combustion. ............25
Annual and typical daily emissions from residential LPG combustion. ......................26
Annual emissions estimates for Maricopa County from EPA’s residential
wood combustion estimation tool. ...............................................................................27
Annual and typical daily emissions from residential wood combustion. ....................27
Annual and typical daily emissions from area-source chemical manufacturing. ........28

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Table 3.3–2. Annual and typical daily emissions from commercial cooking equipment in
Maricopa County. ........................................................................................................28
Table 3.3–3. Annual and typical daily emissions from commercial cooking equipment in
the PM10 nonattainment area. .......................................................................................29
Table 3.3–4. County-level employment estimates for grain handling and processing
operations, by NAICS code. ........................................................................................29
Table 3.3–5. Annual and typical daily emissions from area-source grain handling and
processing. ...................................................................................................................30
Table 3.3–6. Annual and typical daily ammonia emissions from cold storage. ...............................30
Table 3.3–7. Annual and typical daily emissions from secondary metal production. ......................30
Table 3.3–8. Annual and typical daily emissions from area-source nonmetallic mineral
product manufacturing. ................................................................................................31
Table 3.3–9. Annual and typical daily emissions from area-source mining and quarrying
operations. ....................................................................................................................32
Table 3.3–10. County-level employment estimates for wood product manufacturing, by
NAICS code. ................................................................................................................32
Table 3.3–11. Annual and typical daily emissions from area-source wood products
manufacturing. .............................................................................................................32
Table 3.3–12. County-level employment estimates for rubber and plastic product
manufacturing, by NAICS code. ..................................................................................33
Table 3.3–13. Annual and typical daily emissions from area-source rubber/plastic product
manufacturing. .............................................................................................................33
Table 3.3–14. Annual and typical daily emissions from area-source fabricated metal
products manufacturing. ..............................................................................................34
Table 3.3–15. Maricopa County dust control permits issued in 2014, by permit type. ......................34
Table 3.3–16. Average duration of construction projects and emission factor, by project type.........36
Table 3.3–17. Annual emissions (tons/yr) from construction activity in Maricopa County. .............37
Table 3.3–18. Annual emissions from construction within the Maricopa County portion of
the PM10 nonattainment area, by project type. .............................................................37
Table 3.3–19. Annual and typical daily emissions from construction activity in the Pinal
County portion of the PM10 nonattainment area. .........................................................38
Table 3.3–20. Annual and typical daily emissions from construction activity in Maricopa
County and the PM10 nonattainment area. ...................................................................38
Table 3.3–21. Annual and typical daily emissions from area-source electric equipment
manufacturing. .............................................................................................................39
Table 3.3–22. Annual and typical daily emissions from paved and unpaved road travel at
industrial facilities........................................................................................................39
Table 3.3–23. Annual and typical daily emissions from industrial processes not elsewhere
classified. .....................................................................................................................40
Table 3.4–1. Annual and typical daily emissions from on-site incineration.....................................40
Table 3.4–2. Maricopa County burn permit activity during 2014. ...................................................41
Table 3.4–3. Annual and season-day emissions from open burning. ...............................................41
Table 3.4–4. Annual and typical daily emissions from landfills. .....................................................42
Table 3.4–5. Annual and typical daily NH3 emissions from publicly-owned treatment
works. ...........................................................................................................................42
Table 3.4–6. Annual and typical daily emissions from other industrial waste disposal. ..................42
Table 3.5–1. Total acreage capable of producing windblown dust, within Maricopa County
and the PM10 nonattainment area, by land use category. .............................................43

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Table 3.5–2. Vertical flux PM10 emission factors for the stable and disturbed portions of each
land use category, by wind speed bin. .........................................................................44
Table 3.5–3. Annual 2014 counts of hourly average wind speeds and actual/interpolated fiveminute average wind speeds, by meteorological station and wind speed bin. .............45
Table 3.5–4. Pre-standardized PM10 emissions from windblown dust in Maricopa County
and the PM10 nonattainment area. ................................................................................46
Table 3.5–5. Percentages of 2014 PM10 concentrations associated with five-minute average
wind speeds greater than or equal to 12 mph at 15 Maricopa County monitors. ........47
Table 3.5–6. Annual and daily PM10 and PM2.5 emissions from windblown dust in
Maricopa County (standardized), by land use category...............................................48
Table 3.5–7. Annual and daily PM10 and PM2.5 emissions from windblown dust in the PM10
nonattainment area (standardized), by land use category. ...........................................48
Table 3.5–8. Annual and typical daily emissions from area-source cotton ginning. ........................48
Table 3.5–9. Annual and typical daily emissions from agricultural tilling operations. ....................49
Table 3.5–10. Annual and typical daily emissions from tilling operations in Maricopa
County, by crop type. ...................................................................................................50
Table 3.5–11. Annual and typical daily emissions from tilling operations in the PM10
nonattainment area, by crop type. ................................................................................50
Table 3.5–12. Maricopa County land area growth, 2011 to 2014. .....................................................51
Table 3.5–13. Annual and typical daily emissions from harvesting. ..................................................51
Table 3.5–14. Annual and typical daily emissions from travel on unpaved agricultural roads. .........51
Table 3.5–15. Annual and typical daily emissions from fertilizer application. ..................................52
Table 3.5–16. Annual and typical daily emissions from livestock. ....................................................52
Table 3.5–17. Annual and typical daily ammonia emissions from human activity. ...........................52
Table 3.5–18. Annual and typical daily emissions from backyard barbeques. ...................................53
Table 3.5–19. Annual and typical daily emissions from structure fires. ............................................53
Table 3.5–20. Annual and typical daily emissions from engine testing. ............................................54
Table 3.5–21. Annual and typical daily emissions from vehicle fires. ...............................................54
Table 3.5–22. Annual emissions (tons/yr) from crematories. .............................................................54
Table 3.5–23. Typical-day emissions (lb/day) from crematories. ......................................................55
Table 3.5–24. Annual and typical daily emissions from accidental releases. .....................................55
Table 3.5–25. Wildfire incidence, acreage burned, and material burned in 2014. .............................56
Table 3.5–26. Annual and typical daily emissions from wildfires. ....................................................56
Table 3.5–27. Prescribed fire activity in Maricopa County in 2014. ..................................................56
Table 3.5–28. Annual and typical daily emissions from prescribed fires. ..........................................57
Table 3.5–29 Annual and typical daily emissions from vehicles traveling on unpaved
parking lots...................................................................................................................59
Table 3.5–30. Leaf blower equipment populations, activity levels and emission factors for
Maricopa County. ........................................................................................................59
Table 3.5–31. Annual and typical daily emissions from leaf blower fugitive dust. ...........................60
Table 3.5–32. Offroad recreational vehicle travel on unpaved surfaces in Maricopa County. ..........61
Table 3.5–33. Annual and typical daily emissions from offroad recreational vehicles. .....................61
Table 3.6–1. Annual and typical daily emissions from all area sources in Maricopa County. .........62
Table 3.6–2. Annual and typical daily emissions from all area sources in the PM10 NAA. .............64
Table 4.2–1. Annual emissions from agricultural equipment. ..........................................................70
Table 4.3–1. Annual emissions (tons/year) from airport ground support equipment (GSE)
and auxiliary power units (APUs)................................................................................71
Table 4.3–2. Typical daily emissions (lbs/day) from airport GSE and APUs. .................................71
Table 4.4–1. Annual and typical daily emissions from commercial equipment. ..............................71
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Table 4.5–1. Annual and typical daily emissions from construction and mining equipment. ..........72
Table 4.6–1. Annual and typical daily emissions from industrial equipment...................................72
Table 4.7–1. Annual and typical daily emissions from lawn and garden equipment. ......................73
Table 4.8–1. Annual and typical daily emissions from pleasure craft equipment. ...........................73
Table 4.9–1. Annual and typical daily emissions from railway maintenance equipment. ...............73
Table 4.10–1. Annual and typical daily emissions from recreational equipment. ..............................74
Table 4.11–1. Annual airport operations (by aircraft category) and related data sources. .................76
Table 4.11–2. Aircraft-specific activity growth for EDMS modeling input at the Chandler
Municipal airport. ........................................................................................................77
Table 4.11–3. Annual and typical daily emissions for airports in the PM10 nonattainment
area, by airport and aircraft type. .................................................................................78
Table 4.11–4. Annual and typical daily emissions, by aircraft type, from airports outside the
PM10 NAA. ..................................................................................................................79
Table 4.12–1. Annual and typical daily emissions from locomotives in Maricopa County. ..............79
Table 4.12–2. Annual and typical daily emissions from locomotives in the PM10
nonattainment area. ......................................................................................................79
Table 4.13–1. Annual and typical daily emissions from nonroad mobile sources in Maricopa
County. .........................................................................................................................80
Table 4.13–2. Annual and typical daily emissions from nonroad mobile sources in the PM10
nonattainment area. ......................................................................................................80
Table 5.2–1. Annual and average daily onroad mobile source emissions in Maricopa
County, by road and source type..................................................................................88
Table 5.2–2. Annual and average daily onroad mobile source emissions in the PM10
nonattainment area, by road and source type. ..............................................................90
Table 5.3–1. Fugitive dust emission factors for paved roads............................................................92
Table 5.3–2. 2014 VMT for paved roads, by silt loading category. .................................................92
Table 5.3–3. Daily uncontrolled fugitive dust emissions from paved roads in 2014. ......................93
Table 5.3–4. Annual and average daily controlled fugitive dust emissions from paved
roads. ............................................................................................................................93
Table 5.3–5. Annual vehicle miles traveled (VMT) on unpaved roads in Maricopa County
and the PM10 nonattainment area. ................................................................................95
Table 5.3–6. Annual vehicle miles traveled (VMT) on all roads in Maricopa County and the
PM10 nonattainment area..............................................................................................95
Table 5.3–7. Daily uncontrolled unpaved road and alley fugitive dust emissions. ..........................95
Table 5.3–8. Annual and average daily controlled fugitive dust emissions from unpaved
roads and alleys. ...........................................................................................................96
Table 5.4–1. Annual and typical daily emissions from all onroad mobile sources in
Maricopa County. ........................................................................................................96
Table 5.4–2. Annual and typical daily emissions from all onroad mobile sources in the
PM10 nonattainment area..............................................................................................96
Table 6.2–1. Two modeling domains defined in the LCP coordinate system ................................100
Table 6.4–1. Typical daily biogenic NOx emissions for Maricopa County and the PM10
nonattainment area, by month. ...................................................................................103
Table 6.5–1. Annual and typical daily NOx emissions for Maricopa County and the PM10
nonattainment area. ....................................................................................................104

List of Figures
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Figure 1.4–1. Map of Maricopa County and the PM10 nonattainment area. ........................................2
Figure 2.7–1. Data flow for annual point source emission inventory reporting. ...............................17
Figure 3.5–1. Location of land use categories within Maricopa County capable of producing
windblown dust. ...........................................................................................................44
Figure 6.2–1. The masked grid cells in the 4-km modeling domain. ...............................................100
Figure 6.3–1. Daily mean meteorological variables derived from WRF simulations for 2014.
(a) Air temperature at 2 meters above ground (oF); (b) PAR (W/m2); (c) water
vapor mixing ratio (g/kg); (d) 24-hour accumulated precipitation (inches);(e)
soil moisture (m3/m3); and (f) soil temperature (oF). .................................................102
Figure 6.3–2. Validation results of WRF model simulations using hourly observational data
from NWS and AZMET. Four meteorological variables are involved in the
validation: (a) temperature at 2 meters height; (b) water vapor mixing ratio;
(c) wind speed from NWS; and (d) surface solar radiation from AZMET. The
results are based on paired hourly modeled and observed data for the entire
year of 2014. Values of R2 indicate the coefficient of determination. ......................102
Figure 6.4–1. Daily average emissions (a) in each month and annual diurnal emission cycle
(b) of NOx in Maricopa County (pink line) and the PM10 NAA (blue line) for
the year of 2014. ........................................................................................................103

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2014 Periodic Emission Inventory for PM10
for the Maricopa County, Arizona PM10 Nonattainment Area

Appendices
Appendix A Instructions for Reporting 2014 Annual Air Pollution Emissions
Appendix B Rule Effectiveness (RE) Studies
B.1 Introduction
B.2 Calculating Rule Effectiveness Rates for Rules 310, 310.01, and 316
B.2.1 Calculating Rule Effectiveness for Sources Subject to Rule 310
B.2.2 Calculating Rule Effectiveness for Sources Subject to Rule 310.01
B.2.3 Calculating Rule Effectiveness for Sources Subject to Rule 316
B.3 Calculating Rule Effectiveness Rates for Title V Facilities and
Non-Title V Facilities
B.4 References
Appendix C MOVES2014a Local Input Data and RunSpecs
MOVES2014a RunSpec Summary (Maricopa County, November 2015)
MOVES2014a RunSpec (Maricopa County, November 2015)
MOVES2014a Local Input Data (Maricopa County, November 2015)
Appendix D Emissions from Facilities Treated as Area Sources in the 2014 Periodic
Emissions Inventory
Appendix E 2014 PM10 Periodic Emissions Inventory Affidavit of Publication

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2014 Periodic Emissions Inventory for PM10

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Maricopa County, AZ • September 2016

1.

Introduction

1.1

Overview

Return to Table of Contents

This 2014 periodic PM10 emissions inventory was developed to meet requirements set forth in
Title I of the Clean Air Act Amendments of 1990 (CAAA), which requires the development of a
baseline emission inventory and periodic revisions for areas that fail to meet the National
Ambient Air Quality Standards (NAAQS). A portion of Maricopa County is classified as serious
nonattainment for PM10.
PM10 is defined as particulate matter less than or equal to ten micrometers in diameter. This
inventory includes primary emissions of PM10 and PM2.5 as well as three particulate matter
precursors: nitrogen oxides (NOx), sulfur oxides (SOx) and ammonia (NH3). The inventory
provides emission estimates from point, area, nonroad mobile, onroad mobile and biogenic
sources. Note that totals shown in tables may not equal the sum of individual values due to
independent rounding.
1.2

Agencies responsible for the emissions inventory

Maricopa County Air Quality Department (MCAQD) has primary responsibility for preparing
and submitting the 2014 Periodic PM10 Emissions Inventory for Maricopa County. MCAQD
prepared the emission estimates for point sources, the majority of area sources, and some
nonroad mobile sources. The Maricopa Association of Governments (MAG) prepared the
emission estimates for onroad mobile, the majority of nonroad mobile, biogenic, and some area
sources. Table 1.2–1 lists those responsible for inventory preparation and quality assurance/
quality control activities, which are described in the respective chapters.
Table 1.2–1. Chapter authors and QA/QC contacts for this report.
Chapter
2. Point sources

Author(s)
Bob Downing, MCAQD (602) 506-6790

3. Area sources

Bob Downing, Eric Raisanen, Tom Ekren
and Dena Konopka, MCAQD
(602) 506-6790

4. Nonroad mobile
sources
5. Onroad mobile
sources
6. Biogenic sources

QA/QC contacts
Eric Raisanen, MCAQD (602) 506-6790
Matt Poppen, MAG (602) 254-6300
Bob Downing, MCAQD (602) 506-6790
Matt Poppen, MAG (602) 254-6300

Matt Poppen, MAG (602) 254-6300
Taejoo Shin, MAG (602) 254-6300

Bob Downing, MCAQD (602) 506-6790

Bob Downing, MCAQD (602) 506-6790
Taejoo Shin, MAG (602) 254-6300

Matt Poppen, MAG (602) 254-6300

Taejoo Shin, MAG (602) 254-6300

Matt Poppen, MAG (602) 254-6300

2014 Periodic Emissions Inventory for PM10

1

Maricopa County, AZ • September 2016

1.3

Temporal scope

Annual and typical daily emissions were estimated for the year 2014, for both Maricopa County
and the Phoenix-region PM10 nonattainment area (NAA).
1.4

Geographic scope

This inventory includes emission estimates for Maricopa County and for the Maricopa County
PM10 nonattainment area. Maricopa County encompasses approximately 9,223 square miles of
land area, while the Maricopa County PM10 nonattainment area is approximately 2,880 square
miles or approximately 31 percent of the Maricopa County land area. A map of Maricopa
County and the PM10 nonattainment area is provided in Figure 1.4–1.
Figure 1.4–1. Map of Maricopa County and the PM10 nonattainment area.

2014 Periodic Emissions Inventory for PM10

2

Maricopa County, AZ • September 2016

1.5

Overview of local demographic and land-use data

Many of the emissions estimates generated in this report were calculated using demographic and
land-use data provided by the Maricopa Association of Governments (MAG). These data were
used to apportion and/or scale Maricopa County emissions estimates to the nonattainment area
and vice versa. (For example, county-level emissions from residential natural gas usage in Maricopa County were apportioned to the nonattainment area using the ratio of total population in
each area). Detailed explanations of how emission estimates were apportioned or scaled are
presented in each of the following chapters, along with the data sources used.
1.5.1

Demographic profile

The demographic data provided by MAG included population, employment data, and single
family/multi-family splits for calendar year 2014, for both Maricopa County and the PM10 nonattainment area. Table 1.5–1 provides an overview of the demographic data used in this report.
As noted throughout the text, these data are frequently used to derive estimates of activity or
emissions within the PM10 NAA from county-level calculations. It is important to note, however, that the nonattainment area includes a portion of Pinal County, AZ (Apache Junction) as
shown in Figure 1.4–1. Thus in some cases (e.g., those source categories calculated based on
total population), the multiplier used to derive nonattainment area estimates from County-level
values may be greater than 1, and thus the resulting NAA emission totals are larger than the
County-level estimates from which they are derived.
Table 1.5–1. Demographic profile of Maricopa County and the PM10 NAA.
PM10
Maricopa
nonattainDemographic variable
County
ment area
1. Population:
Resident population
4,008,651
4,017,803
Non-resident population
319,784
323,875
Total population:
4,328,435
4,341,678
2. Employment:
–Retail employment *
–Office employment *
–Public employment *
–Other employment *
All commercial/institutional employment:
Industrial employment
Construction
Work at home
Non site-based
Total employment:

385,678
462,139
132,436
181,060
1,161,313
334,326
24,808
101,244
128,193
1,749,884

3. Household split:
Single-family
Multi-family
Total households:

77%
23%
100%

385,729
458,890
132,835
180,229
1,157,683
333,137
23,327
100,178
127,656
1,741,981

* These four categories comprise the “commercial/institutional” employment sector.

2014 Periodic Emissions Inventory for PM10

3

NAA%
relative to
County
100.23%
101.28%
100.31%
100.01%
99.30%
100.30%
99.54%
99.69%
99.64%
94.03%
98.95%
99.58%
99.55%

78%
22%
100%

Maricopa County, AZ • September 2016

1.5.2

Land-use data

The land-use data used in this report have been developed by the Maricopa Association of
Governments (MAG), which provided 2014 land-use data. Table 1.5–2 presents a listing of the
land use categories used, and the acreages of each land-use type within Maricopa County and the
PM10 nonattainment area.
Table 1.5–2. Land use categories used to apportion emissions.
Acreage in
Acreage
Percentage
Maricopa within PM10 within PM10
Land use category
County
NAA
NAA
General/active open space/golf course (e.g., parks)
212,662
204,817
96.31%
Passive/restricted open space, washes
2,602,364
420,329
16.15%
Lakes
12,286
7,029
57.21%
Agriculture
267,894
114,722
42.82%
Vacant (e.g., developable land)
2,053,015
409,566
19.95%
1.6

Emissions overview by source category

1.6.1

Point sources

The point source category includes those stationary sources that emit a significant amount of
pollution into the air such as power plants, industrial processes and large manufacturing
facilities. MCAQD utilizes the US EPA’s Annual Emissions Reporting Requirements (AERR)
rule to define which stationary sources are listed as point sources. A detailed definition of a
point source can be found in Section 2.1 of Chapter 2.
Table 1.6–1 summarizes annual and typical daily emissions from point sources in Maricopa
County and the PM10 nonattainment area, respectively. A detailed breakdown of emissions
calculations for all point sources is contained in Chapter 2.
Table 1.6–1. Annual and typical daily emissions from point sources in Maricopa County
and the PM10 nonattainment area (including emission reduction credits).
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 512.5 470.3 1,647.6 77.7 196.8 2,965 2,712
9,246
533 1,081
PM10 NAA
197.8 174.5
955.9 41.0
42.1 1,210 1,061
5,422
329
231
1.6.2

Area (nonpoint) sources

Area sources are facilities or activities whose individual emissions do not qualify them as point
sources. Area sources represent numerous facilities or activities that individually release small
amounts of a given pollutant, but collectively they can release significant amounts of a pollutant.
Emissions from stationary sources that were not identified as point sources in this report have
been included in the area source inventory. Examples of area source categories include residential wood burning, commercial cooking, waste incineration and wildfires.

2014 Periodic Emissions Inventory for PM10

4

Maricopa County, AZ • September 2016

Tables 1.6–2 and 1.6–3 summarize annual and typical daily emissions of the chief area source
categories, for Maricopa County and the PM10 nonattainment area, respectively. A detailed
breakdown of emissions calculations for each area source category is contained in Chapter 3.
Table 1.6–2. Annual and typical daily emissions from area sources in Maricopa County.
Annual emissions (tons/yr)
Source category
PM10
PM2.5 NOx
SOx
NH3
Fuel combustion
1,475.1 1,458.6 4,931.9 95.2
101.4
Industrial processes
9,113.1 2,735.4 531.6 39.0 1,995.7
Waste treatmt/disposal
121.5 107.4
41.5 58.9
11.7
Misc. area sources
31,108.2 4,158.5 128.1 11.4 10,476.3
All area sources:
41,817.9 8,459.9 5,633.2 204.5 12,585.1

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
NH3
13,181 13,068 31,491
672
846
57,392 17,311 3,102
329 12,775
776
677
249
324
64
214,115 31,255
800
82 57,409
285,464 62,311 35,641 1,407 71,094

Table 1.6–3. Annual and typical daily emissions from area sources in the PM10
nonattainment area.
Annual emissions (tons/yr)
Source category
PM10
PM2.5 NOx
SOx
Fuel combustion
1,477.5 1,461.1 4,920.5 95.0
Industrial processes
7,772.9 2,503.8 529.1 38.9
Waste treatmt/disposal
69.7
68.3
31.3 54.6
Misc. area sources
10,782.5 1,820.6 127.9 11.3
All area sources:
20,102.7 5,853.8 5,608.8 199.7

1.6.3

NH3
101.5
1,985.8
11.7
5,170.4
7,269.4

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
NH3
13,205 13,092 31,417
671
846
47,961 14,972 3,088
328 12,714
421
394
181
301
64
77,583 13,568
754
69 28,332
139,170 42,027 35,440 1,369 41,957

Nonroad mobile sources

Nonroad mobile sources include off-highway vehicles and engines that move or are moved within a 12-month period. Tables 1.6–4 and 1.6–5 summarize annual and typical day emissions from
nonroad mobile sources, for Maricopa County and the PM10 nonattainment area, respectively. A
detailed breakdown of emissions calculations for each source category is contained in Chapter 4.
Table 1.6–4. Annual and typical daily emissions from nonroad mobile sources in
Maricopa County.
Source category
Agricultural equipment
Airport GSE (+APU)
Commercial equipment
Construction & mining
Industrial equipment
Lawn and garden
Pleasure craft
Railway maintenance
Recreational equipment
Aircraft
Locomotives
All nonroad sources:

PM10
22.9
17.3
102.6
925.8
70.9
163.9
5.2
0.9
38.7
110.4
70.8
1,529.4

Annual emissions (tons/yr)
PM2.5
NOx
SOx NH3
22.2
286.9
0.0 0.3
16.9
293.7 18.2 0.0
97.9
1,175.6
1.3 2.4
895.6 10,495.7
0.3 15.1
69.2
1,263.3
0.7 1.3
151.5
589.9
2.0 2.7
4.9
98.3
0.1 0.2
0.9
7.7
0.0 0.0
35.6
62.4
0.3 0.4
110.4
2,391.1 288.5 0.0
68.7
2,478.3 264.0 1.8
1,473.8 19,143.1 575.4 24.2

2014 Periodic Emissions Inventory for PM10

5

Typical daily emissions (lbs/day)
PM10 PM2.5
NOx
SOx
NH3
146
142
1,832
0
2
95
93
1,610
100
0
656
626
7,520
9
15
5,920
5,727 67,111
2
97
432
422
7,727
5
8
904
834
3,370
13
16
70
64
1,304
1
2
6
6
53
0
0
328
302
530
3
4
689
689 13,644
1,631
0
388
376 13,580
1,446
10
9,634
9,282 118,279
3,209
154

Maricopa County, AZ • September 2016

Table 1.6–5. Annual and typical daily emissions from nonroad mobile sources in the PM10
nonattainment area.
Source category
Agricultural equipment
Airport GSE (+APU)
Commercial equipment
Construction & mining
Industrial equipment
Lawn and garden
Pleasure craft
Railway maintenance
Recreational equipment
Aircraft
Locomotives
All nonroad sources:

1.6.4

Annual emissions (tons/yr)
PM10
PM2.5
NOx
SOx NH3
9.8
9.5
122.9
0.0
0.1
17.1
16.7
288.6 18.0
0.0
102.3
97.6 1,171.5
1.3
2.4
870.5
842.1 9,869.2
0.3 14.2
70.6
68.9 1,258.8
0.7
1.3
164.4
151.9
591.7
2.0
2.7
3.0
2.8
56.3
0.1
0.1
0.9
0.9
7.8
0.0
0.0
6.9
6.4
11.1
0.1
0.1
108.4
108.4 2,382.5 286.1
0.0
35.2
34.2 1,271.3 129.0
0.9
1,389.1 1,339.4 17,031.5 437.5 21.7

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
NH3
63
61
785
0
1
94
92
1,581
98
0
654
624
7,493
9
15
5,566
5,385
63,105
2
91
430
420
7,699
5
8
906
837
3,380
13
17
40
37
746
1
1
6
6
54
0
0
59
54
94
1
1
678
678
13,597 1,618
0
193
187
6,966
707
5
8,689
8,380 105,499 2,452
138

Onroad mobile sources

Emissions from onroad mobile sources were calculated for Maricopa County and the PM10 nonattainment area. A detailed breakout of emissions calculations for each area source category is
contained in Chapter 5.
Tables 1.6–6 and 1.6–7 summarize annual and typical daily emissions from onroad mobile
sources in Maricopa County and the PM10 nonattainment area, respectively.
Table 1.6–6. Annual and typical daily emissions from onroad mobile sources in Maricopa
County.
Annual emissions (tons/year)
Emission
Category
PM10
PM2.5
NOx
SOx
NH3
Exhaust, tire wear,
and brake wear
844.6 765.7 34,219.1 187.7 1,047.6
Paved road
fugitive dust
6,578.3 1,627.4
—
—
—
Unpaved rd/alley
fugitive dust
6,591.2 657.9
—
—
—
Totals:
14,014.2 3,051.1 34,219.1 187.7 1,047.6

PM10

Typical daily emissions (lbs/day)
PM2.5
NOx
SOx
NH3

4,629

4,196

187,536

1,029

5,742

36,046

8,918

—

—

—

36,116
76,791

3,605
16,719

—
187,536

—
1,029

—
5,742

Table 1.6–7. Annual and typical daily emissions from onroad mobile sources in the PM10
nonattainment area.
Annual emissions (tons/year)
Emission
Category
PM10
PM2.5
NOx
SOx
NH3
Exhaust, tire wear,
and brake wear
763.0 690.7 30,718.6 180.4 1,017.8
Paved road
fugitive dust
6,290.5 1,555.8
—
—
—
Unpaved rd/alley
fugitive dust
6,337.6 632.6
—
—
—
Totals:
13,391.0 2,879.1 30,718.6 180.4 1,017.8

2014 Periodic Emissions Inventory for PM10

6

PM10

Typical daily emissions (lbs/day)
PM2.5
NOx
SOx
NH3

4,181

3,785

168,352

989

5,578

34,469

8,525

—

—

—

34,726
73,376

3,466
15,777

—
168,352

—
989

—
5,578

Maricopa County, AZ • September 2016

1.6.5

Biogenic sources

The biogenic source category includes emissions from all vegetation (e.g., crops, indigenous
vegetation, landscaping, etc.) in Maricopa County and the PM10 nonattainment area. Emissions
were estimated using the Model of Emissions of Gases and Aerosols from Nature (MEGAN).
MEGAN is a state-of-the-art biogenic emissions model developed by the National Center for
Atmospheric Research (NCAR). Some corrections and improvements were made in the latest
version of MEGAN2.1. MEGAN2.1 was used to compute biogenic emissions in Maricopa
County and the PM10 nonattainment area. Annual and typical daily NOx emissions from
biogenic sources are shown in Table 1.6–8 for Maricopa County and the PM10 nonattainment
area.
Table 1.6–8. Annual and typical daily emissions from biogenic sources in Maricopa
County and the PM10 nonattainment area.
Annual NOx
Typical daily NOx
Geographic area
emissions (tons/yr) emissions (lbs/day)
Maricopa County
987.9
5,392
PM10 nonattainment area
378.7
2,067
1.6.6

Summary of all source categories

Tables 1.6–9 and 1.6–10 provide summary totals of annual and typical daily emissions from all
emission sources in Maricopa County and the PM10 nonattainment area, respectively.
Table 1.6–9. Annual and typical daily emissions from all source categories in Maricopa
County.
Section
POINT SOURCES:
Emission reduction credits
pERCs
Totals:
AREA SOURCES:
Fuel combustion:
Industrial distillate oil: boilers
Industrial distillate oil: engines
Industrial natural gas
Industrial LPG
Comm./inst. dist. oil: boilers
Comm./inst. dist. oil: engines
Comm./inst. natural gas
Residential distillate oil
Residential natural gas
Residential LPG
Residential wood combustion
All Fuel Combustion:
Industrial processes:
Chemical manufacturing
Commercial cooking
Grain handling/processing
Ammonia cold storage

Annual emissions (tons/year)
PM10 PM2.5
NOx SOx
NH3
507.7 470.3 1,604.6 77.5
196.8
4.8
14.1
0.2
28.8
512.5 470.3 1,647.6 77.7
196.8

11.0
7.4
96.1
139.3 130.7 1,934.4
4.0
3.2
740.1
0.2
0.1
52.1
0.3
0.3
2.8
0.3
0.3
4.4
5.9
4.8 1,126.8
0.0
0.0
0.3
62.8
62.8
777.0
0.2
0.1
41.5
1,251.0 1,248.7
156.3
1,475.1 1,458.6 4,931.9
108.5
65.5
1,739.2 1,612.8
178.2
19.0

2014 Periodic Emissions Inventory for PM10

34.1
22.5
4.4
0.2
0.1
0.0
6.8
0.8
5.0
0.2
21.1
95.2

3.8
2.6
23.7
1.1
0.1
0.0
5.5
0.0
0.1
64.5
101.4

1,973.3

7

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
NH3
2,939
2,712
9,011
532
1,081
26
77
1
158
2,965
2,712
9,246
533
1,081

71
893
26
1
2
2
38
0
344
1
11,802

48
838
20
1
2
2
31
0
344
1
11,780

616
12,400
4,744
334
18
28
7,223
3
4,258
391
1,475

219
144
28
1
1
0
43
8
27
2
199

13,181

13,068

31,491

672

1,172
9,530
1,037

654
8,837
1,033

25
16
152
7
1
0
35
0
1
608
846

12,649

Maricopa County, AZ • September 2016

Table 1.6–9. Annual and typical daily emissions from all source categories in Maricopa
County (cont’d).
Section
Industrial processes (cont’d):
Secondary metal production
Nonmetallic mineral processes
Mining/quarrying
Wood product manufacturing
Rubber/plastic product mfg.
Fabricated metals
Residential construction
Commercial construction
Road construction
Construction, other
Electrical equipment mfg.
Indust. paved/unpaved roads
Industrial processes, NEC
All Industrial Processes:
Waste treatment/disposal:
On-site incineration
Open burning
Landfills
Publicly owned treatmt works
Other waste
All Waste Treatmt/Disp.:

Annual emissions (tons/year)
PM10
PM2.5
NOx
SOx NH3

53.6
43.4
66.8
24.3
95.8
14.0
1,318.0
3,619.4
1,247.0
128.3
26.0
205.0
245.7
9,113.1

39.8
18.2
14.9
23.1
80.2
12.9
131.8
361.9
124.7
12.8
18.5
87.3
112.0
2,735.4

55.1

30.6

24.3

0.6

452.2
531.6

7.9
39.0

0.6
30.4
67.5

0.4
30.4
65.5

3.0
8.1
9.9

0.9

23.0
121.5

11.1
107.4

20.6
41.5

51.4
58.9

Miscellaneous area sources:
Windblown dust
2,888.8
Cotton ginning
26.9
Tilling
4,236.4
Harvesting
157.2
Travel on unpaved ag. roads
1,929.0
Fertilizer application
Livestock
Humans
Backyard barbeques
197.3
Structure fires
15.2
Aircraft engine testing
2.5
Vehicle fires
33.0
Crematories, human
5.5
Crematories, animal
2.7
Accidental releases
Wildfires
9.2
Prescribed fires
0.2
Travel on unpaved pkg lots
4,071.1
Leaf blowers fugitive dust
991.2
Offrd rec vehicle fugitive dust 16,542.1
All Misc. Area Sources
31,108.2

7.9
0.2
407.1
374.1
1,654.8
4,158.5

All Area Sources:

8,459.9

41,817.9

411
325
464
180
702
100
8,448
23,201
7,993
822
14.3
144
1,476
7.6 1,387
1,995.7 57,392

306
134
102
172
614
92
845
2,320
799
82
102
587
631
17,311

2,478
3,102

4
234
377

2
234
365

19
62
54

36

161
776

75
677

113
249

282
324

15,829
159
62,024
3,811
12,365

2,374
24
12,405
572
1,237

1,081
83
14
181
40
24

865
83
14
181
24
14

59
65
22,308
5,431
90,642
11.4 10,476.3 214,115

51
65
2,231
2,050
9,067
31,255

6.6

433.3
4.0
847.3
23.6
192.9

157.8
15.2
2.4
33.0
3.3
1.6

2014 Periodic Emissions Inventory for PM10

60.5
2.0
45.5
1.3
10.7
5.6
0.2
2.0
0.2

128.1

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
NH3

0.5

11.7
11.7

573.6
8,711.9
1,190.3
8.7
1.4
0.7
0.6
0.0

0.4
0.0

5,633.2 204.5 12,585.1 285,464

8

488

282

3

135

3

79

332
11
260
7
77
49
0
13
51

43
44
329 12,775
6
64
64

3,143
47,737
6,522
48
10
6
4
14

3
4

800

82 57,409

62,311 35,641

1,407 71,094

Maricopa County, AZ • September 2016

Table 1.6–9. Annual and typical daily emissions from all source categories in Maricopa
County (cont’d).

Annual emissions (tons/year)
Section
PM10
PM2.5
NOx
SOx NH3
NONROAD MOBILE SOURCES:
Agricultural equipment
22.9
22.2
286.9
0.0
0.3
Airport GSE (+APU)
17.3
16.9
293.7
18.2
0.0
Commercial equipment
102.6
97.9 1,175.6
1.3
2.4
Construction/mining equipmt
925.8
895.6 10,495.7
0.3
15.1
Industrial equipment
70.9
69.2 1,263.3
0.7
1.3
Lawn and garden equipment
163.9
151.5
589.9
2.0
2.7
Pleasure craft
5.2
4.9
98.3
0.1
0.2
Rail maintenance equipment
0.9
0.9
7.7
0.0
0.0
Recreational equipment
38.7
35.6
62.4
0.3
0.4
Aircraft
110.4
110.4 2,391.1 288.5
0.0
Locomotives
70.8
68.7 2,478.3 264.0
1.8
All Nonroad Mobile Sources 1,529.4 1,473.8 19,143.1 575.4
24.2
ONROAD MOBILE SOURCES:
Exhaust/tire wear/brake wear
844.6
Paved road fugitive dust
6,578.3
Unpaved road fugitive dust
6,591.2
All Onroad Mobile Sources 14,014.2
BIOGENIC SOURCES:
TOTAL, ALL SOURCE
CATEGORIES:

765.7 34,219.1
1,627.4
—
657.9
—
3,051.1 34,219.1

—

—

987.9

187.7 1,047.6
—
—
—
—
187.7 1,047.6
—

—

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
NH3

146
95
656
5,920
432
904
70
6
328
689
388
9,634

142
1,832
0
93
1,610
100
626
7,520
9
5,727 67,111
2
422
7,727
5
834
3,370
13
64
1,304
1
6
53
0
302
530
3
689 13,644 1,631
376 13,580 1,446
9,282 118,279 3,209

2
0
15
97
8
16
2
0
4
0
10
154

4,629
36,046
36,116
76,791

4,196 187,536 1,029
8,918
—
—
3,605
—
—
16,719 187,536 1,029

5,742
—
—
5,742

—

57,873.9 13,455.1 61,630.9 1,045.3 13,853.7 374,853

2014 Periodic Emissions Inventory for PM10

9

—

—

—

91,024 356,095 6,178

78,071

5,392

Maricopa County, AZ • September 2016

Table 1.6–10. Annual and typical daily emissions from all source categories in the PM10
nonattainment area.
Section
POINT SOURCES:
Emission reduction credits
pERCs
Totals:
AREA SOURCES:
Fuel combustion:
Industrial distillate oil: boilers
Industrial distillate oil: engines
Industrial natural gas
Industrial LPG
Comm./inst. dist. oil: boilers
Comm./inst. dist. oil: engines
Comm./inst. natural gas
Residential distillate oil
Residential natural gas
Residential LPG
Residential wood combustion
All Fuel Combustion:

Annual emissions (tons/year)
PM10 PM2.5
NOx SOx
NH3
193.0 174.5
913.0 40.9
42.1
4.8
14.1
0.2
28.8
197.8 174.5
955.9 41.0
42.1

11.0
7.4
95.7
138.8 130.2 1,927.4
4.0
3.2
737.5
0.2
0.1
51.9
0.3
0.3
2.8
0.3
0.3
4.4
5.8
4.8 1,123.3
0.0
0.0
0.3
63.0
63.0
778.8
0.2
0.1
41.5
1,253.9 1,251.6
156.7
1,477.5 1,461.1 4,920.5

Industrial processes:
Chemical manufacturing
108.1
65.3
Commercial cooking
1,743.1 1,616.4
Grain handling/processing
177.6
18.9
Ammonia cold storage
Secondary metal production
53.6
39.8
Nonmetallic mineral processes
43.4
18.2
Mining/quarrying
53.7
11.5
Wood product manufacturing
24.2
23.0
Rubber/plastic product mfg.
95.5
79.9
Fabricated metals
13.9
12.9
Residential construction
1,233.6
123.4
Commercial construction
2,858.3
285.8
Road construction
926.4
92.6
Construction, other
123.8
12.4
Electrical equipment mfg.
26.0
18.5
Ind. paved/unpaved road travel 131.8
29.4
Industrial processes, NEC
159.9
55.7
All Industrial Processes
7,772.9 2,503.8
Waste treatment/disposal:
On-site incineration
Open burning
Landfills
Publicly owned treatmt works
Other waste
All Waste Treatmt/Disposal
Miscellaneous area sources:
Windblown dust
Cotton ginning
Tilling
Harvesting
Travel on unpaved ag. roads

34.0
22.4
4.4
0.2
0.1
0.0
6.7
0.8
5.0
0.2
21.2
95.0

0.1
64.6
101.5

55.1

30.6

1,966.2
0.5

24.3

0.6

14.3

449.7
529.1

7.7
4.8
38.9 1,985.8

0.6
9.9
46.8

0.4
9.9
45.5

2.9
2.6
5.2

0.9

12.4
69.7

9.5
68.3

20.5
31.3

50.5
54.6

1,750.2
5.3
1,814.2
59.3
781.6

262.5
0.8
362.8
8.9
78.2

2014 Periodic Emissions Inventory for PM10

3.8
2.6
23.6
1.1
0.1
0.0
5.5
0.0

10

3.2

11.7
11.7

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
NH3
1,183
1,061
5,187
328
231
26
77
1
158
1,210
1,061
5,422
329
231

71
890
26
1
2
2
37
0
345
1
11,829
13,205

48
614
835 12,355
20
4,727
1
333
1.9
17.8
2.0
28.3
31.0 7,200.8
0
3
345
4,267
1
392
11,808
1,478
13,092 31,417

1,168
9,551
135

652
8,857
134

411
325
371
179
699
99
7,908
18,322
5,939
793
144
1,000
915
47,961

306
134
78
171
612
92
791
1,832
594
79
102
215
322
14,972

4
76
260

218
144
28
1
0.7
0.0
43.2
8
27
2
200
671

25
16
151
7
0.7
0.0
35.3
0
1
610
846

488

282

12,604
3

135

3

79

2,464
3,088

42
328

28
12,714

2
76
253

19
20
29

6

0

17

81
421

62
394

113
181

277
301

9,590
29
26,561
1,442
5,010

1,439
4
5,312
216
501

64
64

Maricopa County, AZ • September 2016

Table 1.6–10. Annual and typical daily emissions from all source categories in the PM10
nonattainment area (continued).

Annual emissions (tons/year)
Section
PM10
PM2.5
NOx SOx
NH3
Misc. area sources (contd):
Fertilizer application
245.6
Livestock
3,730.4
Humans
1,194.0
Backyard barbeques
197.7
158.2
60.6
Structure fires
15.3
15.3
2.0
Aircraft engine testing
2.5
2.4
45.5
8.7
Vehicle fires
33.1
33.1
1.3
Crematories, human
5.5
3.3
10.7
1.4
Crematories, animal
2.7
1.6
5.6
0.7
Accidental releases
0.2
Wildfires
8.0
6.9
1.8
0.5
0.4
Prescribed fires
0.0
0.0
0.0
0.0
0.0
Travel on unpaved pkg lots
2,163.4
216.3
Leaf blowers fugitive dust
994.2
375.2
Offrd rec vehicle fugitive dust 2,949.5
295.0
All Misc. Area Sources:
10,782.5 1,820.6
127.9 11.3 5,170.4
All Area Sources:

20,102.7

5,853.8 5,608.8 199.7 7,269.4

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
NH3

1,083
84
14
181
39
24

867
84
14
181
24
14

51
11
11,854
5,448
16,161
77,583

44
11
1,185
2,056
1,617
13,568

139,170

42,027

NONROAD MOBILE SOURCES:
Agricultural equipment
9.8
Airport GSE (+APU)
17.1
Commercial equipment
102.3
Construction/mining equipmt
870.5
Industrial equipment
70.6
Lawn and garden equipment
164.4
Pleasure craft
3.0
Rail maintenance equipment
0.9
Recreational equipment
6.9
Aircraft
108.4
Locomotives
35.2
All Nonroad Mobile Sources: 1,389.1

9.5
16.7
97.6
842.1
68.9
151.9
2.8
0.9
6.4
108.4
34.2
1,339.4

0.9
21.7

63
94
654
5,566
430
906
40
6
59
678
193
8,689

ONROAD MOBILE SOURCES:
Exhaust / tire wear / brake
wear
763.0
Paved road fugitive dust
6,290.5
Unpaved road fugitive dust
6,337.6
All Onroad Mobile Sources: 13,391.0

690.7 30,718.6 180.4 1,017.8
1,555.8
—
—
—
632.6
—
—
—
2,879.1 30,718.6 180.4 1,017.8

4,181
34,469
34,726
73,376

BIOGENIC SOURCES:
TOTAL, ALL SOURCE
CATEGORIES:

122.9
0.0
288.6 18.0
1,171.5
1.3
9,869.2
0.3
1,258.8
0.7
591.7
2.0
56.3
0.1
7.8
0.0
11.1
0.1
2,382.5 286.1
1,271.3 129.0
17,031.5 437.5

0.1
2.4
14.2
1.3
2.7
0.1
0.0
0.1

378.7

11

754

48
10
6
3
2

2
1

69 28,332

35,440 1,369 41,957

61
785
0
92
1,581
98
624
7,493
9
5,385 63,105
2
420
7,699
5
837
3,380
13
37
746
1
6
54
0
54
94
1
678 13,597 1,618
187
6,966
707
8,380 105,499 2,452

3,785 168,352
8,525
—
3,466
—
15,777 168,352

989
—
—
989

1
15
91
8
17
1
0
1
5
138

5,578
—
—
5,578

2,067

35,080.6 10,246.9 54,693.4 858.7 8,351.0 222,445

2014 Periodic Emissions Inventory for PM10

332
11
260
7
76
48
0
11
8

1,346
20,441
6,542

67,245 316,780 5,140 47,905

Maricopa County, AZ • September 2016

2014 Periodic Emissions Inventory for PM10

12

Maricopa County, AZ • September 2016

2.

Point Sources

2.1

Introduction and scope

Return to Table of Contents

This inventory of PM10 and related pollutants (PM2.5, NOx, SOx, and NH3) is one of two 2014
emissions inventory reports prepared to meet US EPA reporting requirements. This inventory
has been developed concurrently with a similar inventory for ozone precursors (VOC, NOx, and
CO), as part of Maricopa County's requirements under the respective State Implementation Plans
(SIPs).
In addition to preparing a periodic emissions inventory for the PM10 nonattainment area (NAA)
as a commitment under the current PM10 SIP, the federal Air Emission Reporting Requirements
(AERR; US EPA, 2015) rule requires that state and local agencies prepare emissions estimates
on a county basis, and submit data electronically to the US EPA for inclusion in the National
Emissions Inventory (NEI) for calendar year 2014.
2.2

Identifying point sources

In order to provide consistency among various inventories, it was decided to standardize the
definition of a “point source” by adopting the designation of point sources as outlined in the
Federal Register notice for the original AERR:
We are basing the requirement for point source format reporting on whether the
source is major under 40 CFR part 70 for the pollutants for which reporting is
required, i.e., CO, VOC, NOx, SO2, PM2.5, PM10, lead and NH3 but without regard
to emissions of HAPs… [T]his approach will result in a more stable universe of
reporting point sources, which in turn will facilitate elimination of overlaps and
gaps in estimating point source emissions, as compared to nonpoint source emissions. Under this requirement, states will know well in advance of the start of the
inventory year which sources will need to be reported. (US EPA, 2008)
This chapter contains several tables that provide information on emissions from large stationary
point sources. Table 2.2–1 provides an alphabetical listing of all point sources and their location.
Table 2.4–1 shows the annual and typical daily emissions of PM10, PM2.5, NOx, SOx and NH3 for
those point sources that reported emissions of one or more of these pollutants in 2014. Table
2.5–1 lists emission reduction credits for the area, while Table 2.7–1 summarizes point source
emission totals for both Maricopa County and the PM10 nonattainment area. Note that totals
shown in the tables may not equal the sum of individual values due to independent rounding.
The Maricopa County Air Quality Department (MCAQD) identified point sources within the
county through its electronic permit system database, EMS, and the 2014 annual emissions
reports submitted to the department. A total of 19 stationary sources were identified as point
sources using the definition described in Section 2.1 above. While the Arizona Department of
Environmental Quality (ADEQ) retains permitting authority for a limited number of industrial
source categories in Maricopa County, no ADEQ-permitted facilities are considered point
sources, and are addressed instead as area sources.
Table 2.2–1 contains an alphabetical listing of all point sources, including a unique business
identification number, NAICS industry classification code, business name, and physical address.
2014 Periodic Emissions Inventory for PM10

13

Maricopa County, AZ • September 2016

Table 2.2–1. Name and location of all point sources in Maricopa County.
ID # NAICS Business name
Address
City
3313 221112 APS West Phoenix Power Plant
4606 W Hadley St
Phoenix
43063 221112 Arlington Valley LLC
39027 W Elliot Rd
Arlington
1218 562212 Butterfield Station Facility
40404 S 99th Ave
Mobile
127771 331111 CMC Steel Fabricators Inc.
11444 E Germann Rd Mesa
44439 221112 Gila River Power Station
1250 E Watermelon
Gila Bend
4173 562212 Glendale Mun Sanitary Landfill
11480 W Glendale Av Glendale
44186 221112 Mesquite Generating Station
37625 W Elliot Rd
Arlington
43530 221112 New Harquahala Generating Co
2530 N 491st Ave
Tonopah
20706 32614 New Wincup Holdings Inc.
7980 W Buckeye Rd Phoenix
1879 562212 Northwest Regional Landfill
19401 W Deer Valley Surprise
1331 337122 Oak Canyon Manufacturing Inc. 3021 N 29th Dr
Phoenix
52382 221112 Ocotillo Power Plant
1500 E University Dr Tempe
42956 221112 Redhawk Generating Facility
11600 S 363rd Ave
Arlington
303
332431 Rexam Beverage Can Company
211 N 51st Ave
Phoenix
3315 221112 Santan Generating Station
1005 S Val Vista Rd Gilbert
4175 424710 SFPP LP Phoenix Terminal
49 N 53rd Ave
Phoenix
3316 221112 SRP Agua Fria Generating Station 7302 W Northern Av Glendale
3317 221112 SRP Kyrene Generating Station
7005 S Kyrene Rd
Tempe
1210 337122 Trendwood Inc.
2402 S 15th Ave
Phoenix
* = Facility is located outside the PM10 nonattainment area.

2.3

ZIP
85043
85322
85239
85212
85337
85301
85322
85354
85043
85387
85017
85281
85322
85043
85296
85043
85303
85283
85007

*
*
*
*
*

*

Procedures for estimating emissions from point sources

Annual and typical daily emission estimates were calculated from annual source emissions
reports, MCAQD investigation reports, permit files and logs, or telephone contacts with sources.
For most of the sources, material balance methods were used for determining emissions. Emissions were estimated using the emission factors from source tests, AP–42, engineering calculations, or manufacturers’ specifications.
MCAQD distributes annual emissions survey forms to most facilities for which MCAQD has
issued an operating permit, including all Title V and synthetic minor facilities. All facilities are
required to report detailed information on stacks, control devices, operating schedules, and
process-level information concerning their annual activities. Detailed instructions accompany
the emissions reporting forms, and include examples and explanations on how to complete the
annual emissions reporting forms that facilities must submit to MCAQD. (See Appendix A for a
copy of the instructions accompanying the annual emissions inventory forms.)
After a facility has submitted an annual emissions report to MCAQD, emissions inventory staff
check all reports for missing and questionable data, and check the accuracy and reasonableness
of all emissions calculations with AP–42, the Factor Information and REtrieval (webFIRE)
software, and other EPA documentation. Control efficiencies are determined by source tests
when available, or by AP–42 factors, engineering calculations, or manufacturers’ specifications.
MCAQD has conducted annual emissions surveys for permitted facilities since 1988, and the
department's database system, EMS, contains numerous automated quality assurance/quality
control checks for data input and processing.

2014 Periodic Emissions Inventory for PM10

14

Maricopa County, AZ • September 2016

2.3.1

Calculation of PM2.5 emissions

For all county-permitted sources that submitted an annual emission inventory report, all processlevel emissions for PM10, NOx, SOx, and NH3 were calculated for each facility. Actual emissions
for these pollutants were calculated using reported emission factors (from AP–42 or source test
results) and reflecting any control devices installed. PM2.5 was calculated using a variety of
methods, depending on the Source Classification Code (SCC) of the process reported:
1. For those SCCs and control device combinations included in EPA’s WebFIRE, this
database was used to calculate PM2.5, using EPA-recommended emission factors and
typical control efficiencies.
2. For processes with no PM10 controls, emission factors for PM2.5 published by the
California Air Resources Board (CARB, 2004) were used where available.
3. For all other processes (where neither of the above resources provided guidance), PM2.5
was assumed equal to PM10 as a conservative estimate.
2.3.2

Application of rule effectiveness

Rule effectiveness (“RE”) reflects the actual ability of a regulatory program to achieve the
emission reductions required by regulation. The concept of applying rule effectiveness in a SIP
emissions inventory has evolved from the observation that regulatory programs may be less than
100 percent effective for some source categories. Rule effectiveness is applied to those sources
affected by a regulation and for which emissions are determined by means of emission factors
and control efficiency estimates.
MCAQD has estimated rule effectiveness for a variety of emissions sources and source
categories. For those manually controlled processes that are regulated under specific Maricopa
County Rules:
• Rule 310 (Fugitive Dust from Dust-Generating Operations)
90.94% rule effectiveness
• Rule 310.01 (Fugitive Dust from Non-Traditional Sources)
97.48% rule effectiveness
• Rule 316 (Nonmetallic Mineral Processing)
81.08% rule effectiveness
For processes that claimed emissions reductions through the use of a control device, rule
effectiveness calculations was quantified separately for Title V and non-Title V sources. Overall
RE values of 90.44% (for Title V processes) and 89.00% (for non-Title V processes) were
calculated, , and applied to 2014 process-level emissions where applicable. Appendix B
provides further details on the methods and data used in computing these rule effectiveness rates.
2.4

Detailed overview of point source emissions

Table 2.4–1 provides a summary of annual and typical daily emissions from all 19 facilities that
have been categorized as point sources (all but one of which are also located within the PM10
nonattainment area). Sources for which rule effectiveness has been applied (for PM10 emissions)
are noted. Emissions values of “0.0” and “0” for annual and daily emissions denote quantities
below the level of significance (0.05 tons/yr and 0.5 lbs/day, respectively).

2014 Periodic Emissions Inventory for PM10

15

Maricopa County, AZ • September 2016

Table 2.4–1. Annual and typical daily emissions from point sources, by facility.
ID # Business name
3313 APS W. Phoenix Power Plant
43063 Arlington Valley LLC
1218 Butterfield Station Facility
127771 CMC Steel Fabricators Inc.
44439 Gila River Power Station
4173 Glendale Mun San Landfill
44186 Mesquite Power Operations
43530 New Harquahala Gen Co.
20706 New Wincup Holdings Inc.
1879 Northwest Regl. Landfill
1331 Oak Canyon Inc.
52382 Ocotillo Power Plant
42956 Redhawk Gen. Facility
303
Rexam Beverage Can Co.
3315 Santan Generating Station
4175 SFPP LP Phoenix Terminal
3316 SRP Agua Fria Gen Station
3317 SRP Kyrene Generating Stn.
1210 Trendwood Inc.
Totals:

†*
*
*
†
*
†
†

†
*

Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx SOx NH3
30.3 27.4 441.5 4.2 26.1 166 151 2,426
23 143
42.5 42.4
75.8 2.5 0.6 234 234
425
15
3
29.5 29.1
16.7 1.5
188 186
103
9
24.4 17.5
42.7 25.4
208 149
405 243
42.8 37.8 216.3 10.0 62.8 235 208 1,191
55 345
8.7
8.2
13.0 0.2
54
51
71
1
133.2 126.2 190.5 11.4 33.5 732 694 1,047
62 184
34.4 34.3
38.8 2.8 41.1 189 189
213
15 226
1.1
1.1
11.4 0.1
6
6
63
1
54.8 52.8
21.1 2.3
342 331
116
13
0.0
0.0
0
0
9.5
7.2
76.4 0.3
52
39
420
2
32.4 25.8 153.5 8.5 16.7 178 142
844
47
92
0.4
0.4
4.8 0.0
2
2
27
0
44.9 43.6 211.8 6.5 12.9 247 239 1,164
36
71
0.9
0.5
3.6 0.1
5
3
20
1
7.9
5.8
44.6 0.1
43
32
245
1
10.1 10.0
42.0 1.6 3.2
56
55
231
9
17
0.2
0.2
2
2
507.7 470.3 1,604.6 77.5 196.8 2,939 2,712 9,011 532 1,081

† = Facility is outside the PM10 nonattainment area.
* = Facility for which rule effectiveness (RE) has been applied to one or more reported processes.

2.5

Emission reduction credits (ERCs)

A major source or major modification planned in a nonattainment area must obtain emissions
reductions as a condition for approval. These emissions reductions, generally obtained from
existing sources located in the vicinity of a proposed source, must offset the increased emissions
from the new source or modification. The obvious purpose of acquiring offsetting emissions
decreases is to allow an area to move towards attainment of the national ambient air quality
standards while still allowing some industrial growth.
In order for these emission reductions to be available in the future for offsetting, they must: (1)
be explicitly included and quantified as growth in projection-year inventories required in rate of
progress plans or attainment demonstrations that were based on 1990 actual inventories, and (2)
meet the requirements outlined in MCAQD Rule 240 (renamed “Federal Major New Source
Review [NSR]” in early 2016). Table 2.5–1 provides a list of emission reduction credits for
PM10, NOx, and SOx.
Table 2.5–1. Available Emissions Reduction Credits (ERCs) as of December 31, 2014.
Emission reduction
credits (tons/yr)
Facility
Reduction date
PM10
NOx
SOx
Freescale Semiconductor, Inc.
3/1/2004
1.8
9.8
0.16
Madison 51, LLC (Thornwood)
10/8/2012
1.8
Penn Racquet Sports Inc.
3/6/2009
1.19
4.34
Totals:
4.79
14.14
0.16
2014 Periodic Emissions Inventory for PM10

16

Maricopa County, AZ • September 2016

A number of facilities have been identified as potential sources of ERCs for NOx, in addition to
those listed in Table 2.5–1. The companies listed in Table 2.5–2 below are permitted facilities
that have permanently closed since 2011, and whose annual emissions history indicates that the
facility is a potential source of the source of additional ERCs. This list is provided here in order
to maintain the availability of these emissions in this periodic inventory in the event that
sufficient documentation can be secured to confirm the emissions reductions.
Table 2.5–2. Potential sources of NOx emission reduction credits.
Permit
no.
Facility name
City, ZIP
090003 Phoenix San-Man Inc.
Buckeye, 85326
010143 Gro-Well Brands Inc.
Phoenix, 85009
970349 Cemex - Central Ave Plant
Phoenix, 85041
090298 Phoenix Brick Yard
Phoenix, 85007
Total:
2.6

Quality assurance/quality control procedures

2.6.1

Emission survey preparation and data collection

Potential NOx
ERCs (tons/yr)
9.9
8.3
7.5
3.1
28.8

The MCAQD's Emissions Inventory (EI) Unit annually collects point source criteria pollutant
emission data from sources in the county. MCAQD annually reviews EPA guidance, documents
from the Emissions Inventory Improvement Program (EIIP), and other source materials to ensure
that the most current emission factors and emission calculation methods are used for each year’s
survey. Each January, the EI Unit prepares a pre-populated hard copy of the preceding year’s
submissions and mails reporting forms to permitted sources, along with detailed instructions for
completing the forms. (A copy of these instructions is included as Appendix A). The EI Unit
asks sources to verify and update the data. The EI Unit also holds numerous workshops each
spring to assist businesses in completing EI forms. The general data flow for data collection and
inventory preparation is shown in Figure 2.6–1.

2014 Periodic Emissions Inventory for PM10

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Maricopa County, AZ • September 2016

EI Reporting
Forms
• Hard Copy Forms/
Instructions
• Instruction on Web

EMS

EI Reporting
Forms

Log In EI
reports/ Issue
Receipts

Data Entry

Issue NOVs for
late submitters

• Code/field check
• Range checks
• Referential value checks

Create
Inventory files
Automated QA checks

Technical QA/
QC

Using completed survey data

Finalized Inventory
Data
Reconciliation

Figure 2.6–1. Data flow for annual point source emissions inventory reporting.
2.6.2

Submission processing

Submitted EI reports are logged in as they are received, and receipts are issued for any emissions
fees paid. The data are input “as received” into the department's data base. During data entry, a
variety of automated quality control (QC) checks are performed, including:
• pull-down menus to minimize data entry errors (e.g., city, pollutant, emission factor unit,
etc.)
• mandatory data field requirement checks (e.g., a warning screen appears if a user tries to
save an emission record with a missing emission factor).
• range checks (e.g., were valid SCC, Tier, SIC, and NAICS codes entered?)
• referential value checks (e.g., emission factor units, annual throughput units)
• automatic formatting of date, time, telephone number fields, etc.
Automated quality assurance (QA) checks on the report that has been entered include the
following:
• comparing reported emission factors to SCC reference lists,
• comparing reported emission factors to material name reference list,
• checking the report for completeness of required data, and
• checking the report for calculation errors. This includes annual throughput, emission
factors, unit conversion factors (e.g., therms to MMCF), capture efficiency, primary /
secondary control device efficiency, and any offsite recycling credits claimed.
When data entry is complete, an electronic version of the original data is preserved separately to
document changes made during the technical review and QA/QC process. When errors are
2014 Periodic Emissions Inventory for PM10

18

Maricopa County, AZ • September 2016

flagged, the businesses are contacted and correct information is obtained and input to EMS.
Outstanding reporting issues are documented. Confidential business information (CBI) is
identified by a checkbox on the form, and these data elements are flagged during data entry and
are not transmitted to EPA.
To prepare the inventory for submittal to the National Emissions Inventory (NEI), the EI Unit
has developed a series of MS-Access queries to extract data from EMS; and to append or convert
codes, units of measure, etc., in order to create staging tables that adhere to the EPA’s Consolidated Emissions Reporting Schema (CERS). These tables are then converted to XML files
using EPA’s Bridge conversion tool for submittal to the EPA’s Emissions Inventory System
(EIS).
2.6.3

Analysis of annual point source emissions data for this inventory

Air quality planning staff checked inventory accuracy and reasonableness, and assured that all
point sources had been identified and that the methodology applied to calculate emissions was
appropriate and that the calculations were correct. Other reasonableness checks were conducted
by recalculating emissions using methods other than those used to make the initial emissions calculations and then comparing results. Quality assurance checks were conducted by checking all
emissions reports submitted to MCAQD for the year 2014 for missing and questionable data and
by checking the accuracy and reasonableness of all emissions calculations made for such reports.
Notes concerning follow-up calls and corrections to calculations were documented on each 2014
annual emissions report.
2.7

Summary of all point source emissions

Table 2.7–1 below summarizes annual and typical daily emissions from all point sources, including the existing and potential emission reduction credits listed above in Tables 2.5–1 and 2.5–2
respectively, for both Maricopa County and the PM10 nonattainment area.
Table 2.7–1. Annual and typical daily point source emissions (including all emission
reduction credits).
Annual emissions (tons/yr)
Typical daily (lbs/day)
Geographic
area
PM10 PM2.5
NOx SOx NH3 PM10 PM2.5
NOx SOx NH3
Maricopa Co. 512.5 470.3 1,647.6 77.7 196.8 2,965 2,712 9,246 533 1,081
PM10 NAA
197.8 174.5
955.9 41.0 42.1 1,210 1,061 5,422 329
231
2.8

References

CARB, 2004. Speciation Profiles and Size Fractions. California Air Resources Board,
Sacramento CA. http://www.arb.ca.gov/ei/ speciate/speciate.htm.
US EPA, 2008. Air Emissions Reporting Requirements. 73 Fed. Reg. 76539 (Dec. 17, 2008).
https://federalregister.gov/a/E8-29737
US EPA, 2015. Revisions to the Air Emissions Reporting Requirements: Revisions to Lead (Pb)
Reporting Threshold and Clarifications to Technical Reporting Details. 80 Fed. Reg. 8787
(Feb. 19, 2015). https://federalregister.gov/a/2015-03470

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Maricopa County, AZ • September 2016

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Maricopa County, AZ • September 2016

3.

Area (Nonpoint) Sources

3.1

Scope and methodology

Return to Table of Contents

This chapter considers all stationary sources which are too small or too numerous to be treated as
point sources. A variety of US EPA guidance materials were evaluated to identify area source
categories meriting inclusion in this inventory, including the 2014 National Emissions Inventory
(NEI) website (US EPA, 2016); documentation of the development of the previous NEI in 2011
(US EPA, 2015); and the document “Introduction to Area Source Inventory Development” (US
EPA, 2001a). In addition, permit and emissions data in the MCAQD’s Environmental Management System (EMS) database were analyzed to identify critical point and area source categories.
Some source categories were deemed “insignificant” because there are no large production facilities and/or very few small sources, and thus emissions from these categories were not quantified.
For nearly all area source categories, emissions were calculated in one of the following ways:
• For those source categories with detailed emissions data available from most or all of the
significant sources in the category (e.g., aircraft engine testing), annual and typical daily
emissions were calculated based on detailed process-level and operational data provided by
these sources.
• Emissions estimates for some categories were developed by conducting surveys on local
usage (e.g., natural gas consumption) or derived from state-wide data (e.g., fuel oil use).
• For those source categories in which some representative facilities submit annual emissions
reports (e.g., bakeries), these detailed data were used to develop a per-employee emission
factor, which was then used along with County-level employment data from the US Census
to “scale up” those emissions reported from the subset of surveyed facilities, to reflect
emissions from the entire source category.
• For a small number of particularly ubiquitous or diverse categories (e.g., consumer solvent
use), emissions estimated using published or recommended per-capita (or per-employee)
emission factors.
• Emissions estimates for some categories were obtained from County-level emissions
estimates developed by US EPA for use in the 2014 National Emissions Inventory, or by
using related emissions estimation tools developed by US EPA (e.g., residential wood
combustion).
The specific emissions estimation method(s) used for each source category, including the
derivation and application of rule effectiveness, are described in greater detail in the respective
sections. Emissions estimates for several source categories were conducted by staff from the
consulting firm ERG (www.erg.com) under a contract with MCAQD.
3.2

Fuel combustion

3.2.1

Industrial fuel combustion

3.2.1.1 Industrial distillate oil
Annual emissions from industrial distillate oil combustion were derived from the county-level
estimates prepared by US EPA for use in the National Emissions Inventory (NEI) for 2014 (US
EPA, 2016). US EPA developed separate estimates for emissions from external combustion
sources (boilers) and internal combustion engines, for each county nationwide. Annual
emissions for the PM10 nonattainment area were estimated by apportioning Maricopa County’s
2014 Periodic Emissions Inventory for PM10

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Maricopa County, AZ • September 2016

emissions to the nonattainment area, using the ratio of industrial employment (99.64%) as a
surrogate. See Section 1.5.1 for a discussion of the employment data used. Annual emissions
for Maricopa County and the PM10 nonattainment area are presented in Table 3.2–1.
Table 3.2–1. Annual emissions (tons/yr) from area-source industrial distillate oil
combustion.
Equipment
Maricopa County
PM10 nonattainment area
type
PM10 PM2.5
NOx
SOx NH3 PM10 PM2.5
NOx
SOx
Boilers
11.0
7.4
96.1
34.1
3.8
11.0
7.4
95.7
34.0
Engines
139.3 130.7 1,934.4
22.5
2.6 138.8 130.2 1,927.4
22.4
Totals:
150.3 138.1 2,030.5
56.6
6.4 149.8 137.6 2,023.1
56.4

NH3
3.8
2.6
6.4

To calculate typical daily emissions, it was assumed that industrial combustion of distillate oil
occurs six days per week, and is relatively uniform throughout the year. Thus annual emissions
were divided by 312 (= 6 days/week × 52 weeks/year) to derive emissions for a typical day.
Typical daily emissions for Maricopa County and the PM10 nonattainment area are presented in
Table 3.2–2.
Table 3.2–2. Typical daily emissions (lbs/day) from area-source industrial distillate oil
combustion.
Equipment
Maricopa County
PM10 nonattainment area
type
PM10 PM2.5
NOx
SOx NH3 PM10 PM2.5
NOx
SOx
Boilers
71
48
616
219
25
71
48
614
218
Engines
893
838 12,400
144
16
890
835 12,355
144
964
886 13,016
363
41
961
883 12,969
362
Totals:

NH3
25
16
41

3.2.1.2 Industrial natural gas
Annual emissions from industrial natural gas combustion were derived from the county-level
estimates prepared by US EPA for use in the National Emissions Inventory (NEI) for 2014 (US
EPA, 2016). To calculate typical daily emissions, it was assumed that industrial natural gas
combustion occurs six days per week, and is relatively uniform throughout the year. Thus
annual emissions were divided by 312 (= 6 days/week × 52 weeks/year) to derive emissions for a
typical day.
Emissions for the PM10 nonattainment area were estimated by apportioning County-level
emissions to the nonattainment area, using the ratio of industrial employment (99.64%) as a
surrogate. See Section 1.5.1 for a discussion of the employment data used. Annual and typical
daily emissions for Maricopa County and the PM10 nonattainment area are presented in Table
3.2–3.

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Maricopa County, AZ • September 2016

Table 3.2–3. Annual and typical daily emissions from area-source industrial natural gas
combustion.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 4.0
3.2
740.1
4.4
23.7
26
20
4,744
28
152
PM10 NAA
4.0
3.2
737.5
4.4
23.6
26
20
4,727
28
151
3.2.1.3 Industrial liquefied petroleum gas (LPG)
Annual emissions from industrial LPG combustion were derived from the county-level estimates
prepared by US EPA for use in the National Emissions Inventory (NEI) for 2014 (US EPA,
2016). To calculate typical daily emissions, it was assumed that industrial LPG combustion
occurs six days per week, and is relatively uniform throughout the year. Thus annual emissions
were divided by 312 (= 6 days/week × 52 weeks/year) to derive emissions for a typical day.
Emissions for the PM10 nonattainment area were estimated by apportioning County-level
emissions to the nonattainment area, using the ratio of industrial employment (99.64%) as a
surrogate. See Section 1.5.1 for a discussion of the employment data used. Annual and typical
daily emissions for Maricopa County and the PM10 nonattainment area are shown in Table 3.2–4.
Table 3.2–4. Annual and typical daily emissions from area-source industrial LPG
combustion.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 0.2
0.1
52.1
0.2
1.1
1
1
334
1
7
PM10 NAA
0.2
0.1
51.9
0.2
1.1
1
1
333
1
7
3.2.2

Commercial/institutional fuel combustion

3.2.2.1 Commercial/institutional distillate oil
Annual emissions from commercial/institutional distillate oil combustion were derived from the
county-level estimates prepared by US EPA for use in the National Emissions Inventory (NEI)
for 2014 (US EPA, 2016). US EPA develops separate estimates for emissions from external
combustion sources (boilers) and internal combustion engines, for each county nationwide.
Annual emissions for the PM10 nonattainment area were estimated by apportioning Maricopa
County’s emissions to the nonattainment area, using the ratio of commercial/institutional
employment (99.69%) as a surrogate. See Section 1.5.1 for a discussion of the employment data
used. Annual emissions for Maricopa County and the PM10 nonattainment area are presented in
Table 3.2–5.

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Maricopa County, AZ • September 2016

Table 3.2–5. Annual emissions (tons/yr) from area-source commercial/institutional
distillate oil combustion.
Equipment
Maricopa County
PM10 nonattainment area
type
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
Boilers
0.3
0.3
2.8
0.1
0.1
0.3
0.3
2.8
0.1
Engines
0.3
0.3
4.4
0.0
0.0
0.3
0.3
4.4
0.0
Totals:
0.6
0.6
7.2
0.1
0.1
0.6
0.6
7.2
0.1

NH3
0.1
0.0
0.1

To calculate typical daily emissions, it was assumed that industrial combustion of distillate oil
occurs six days per week, and is relatively uniform throughout the year. Thus annual emissions
were divided by 312 (= 6 days/week × 52 weeks/year) to derive emissions for a typical day.
Typical daily emissions for Maricopa County and the PM10 nonattainment area are presented in
Table 3.2–6.
Table 3.2–6. Typical daily emissions (lbs/day) from area-source commercial/institutional
distillate oil combustion.
Equipment
Maricopa County
PM10 nonattainment area
type
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Boilers
2
2
18
1
1
2
2
18
1
1
Engines
2
2
28
0
0
2
2
28
0
0
Totals:
4
4
46
1
1
4
4
46
1
1
3.2.2.2 Commercial/institutional natural gas
Annual emissions from commercial/institutional natural gas combustion were derived from the
county-level estimates prepared by US EPA for use in the National Emissions Inventory (NEI)
for 2014 (US EPA, 2016). To calculate typical daily emissions, it was assumed that commercial/
institutional natural gas combustion occurs six days per week, and is relatively uniform
throughout the year. Thus annual emissions were divided by 312 (= 6 days/week × 52
weeks/year) to derive emissions for a typical day.
Emissions for the PM10 nonattainment area were estimated by apportioning County-level
emissions to the nonattainment area, using the ratio of commercial/institutional employment
(99.69%) as a surrogate. See Section 1.5.1 for a discussion of the employment data used.
Annual and typical daily emissions for Maricopa County and the PM10 nonattainment area are
presented in Table 3.2–7.
Table 3.2–7. Annual and typical daily emissions from area-source commercial/
institutional natural gas combustion.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 5.9
4.8 1,126.8 6.8
5.5
38
31
7,223
43
35
PM10 NAA
5.8
4.8 1,123.3 6.7
5.5
37
31
7,201
43
35

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Maricopa County, AZ • September 2016

3.2.3

Residential fuel combustion

3.2.3.1 Residential distillate oil
Annual emissions from residential distillate oil combustion were derived from the county-level
estimates prepared by US EPA for use in the National Emissions Inventory (NEI) for 2014 (US
EPA, 2016). The 2014 NEI utilized 2013 state-level fuel consumption data from Energy
Information Administration’s (EIA) State Energy Data System (SEDS) (EIA, 2016). State-level
emissions were calculated using the EIA data and allocated to the counties based on state-level
and county-level data on number of housing units using a specific type of fuel for residential
heating from the U.S. Census Bureau. ERG reviewed potential sources of activity data for 2014
to update the emission estimates for Maricopa County. Fuel consumption data for 2014 are
available from EIA’s SEDS, but the 2014 residential distillate fuel consumption data for Arizona
were unchanged from the 2013 data that were used in the 2014 NEI.
Typical daily emissions were calculated by dividing annual emissions by heating degree days
(i.e. the number of degrees per day that the daily average temperature is below 65 °F). However,
data obtained from National Oceanic and Atmospheric Administration (NOAA, 2016) indicated
that there were no heating degree days reported during the May–September period (i.e., 5 months
totaling 153 days). Assuming that no distillate oil combustion activity took place during those
months, it is assumed that all residential distillate oil combustion occurred during the remaining
212 days of the year. Thus, typical daily emissions were calculated by dividing annual emission
by the number of days distillate oil combustion occurred.
Annual and typical daily emissions within the PM10 nonattainment area were calculated by
multiplying county totals by the ratio of total resident population in the nonattainment area to the
total resident population in the county (100.23%). See Section 1.5.1 for a discussion of the
population data used. The resulting annual and daily emissions estimates are presented in Table
3.2–8.
Table 3.2–8. Annual and typical daily emissions from residential distillate oil combustion.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 0.0
0.0
0.3
0.8
0.0
0
0
3
8
0
PM10 NAA
0.0
0.0
0.3
0.8
0.0
0
0
3
8
0
3.2.3.2 Residential natural gas
All natural gas suppliers in Maricopa County were surveyed to gather information regarding the
volume of natural gas sold in 2014, by user category, within the county. Annual emissions from
residential natural gas combustion were calculated by multiplying residential natural gas sales in
2014 (16,532.9 MMCF) by EPA-recommended emission factors from WebFIRE (US EPA,
2015).
Typical daily emissions were calculated by dividing annual emissions by the number of days
(365) that activity occurs for residential natural gas combustion. Annual and typical daily natural
gas emissions for the PM10 nonattainment area were calculated by multiplying county-level
emissions by the ratio of total resident population in the nonattainment area to the total resident

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Maricopa County, AZ • September 2016

population in the county (100.23%). See Section 1.5.1 for a discussion of the population data
used. Table 3.2–9 below summarizes annual and typical daily emissions from residential natural
gas combustion for both Maricopa County and the PM10 nonattainment area.
Table 3.2–9. Annual and typical daily emissions from residential natural gas combustion.
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Geographic
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 62.8
62.8
777.0
5.0
–
344
344
4,258
27
–
PM10 NAA
63.0
63.0
788.8
5.0
–
345
345
4,267
27
–
3.2.3.3 Residential liquefied petroleum gas (LPG)
Annual emissions from residential LPG combustion were derived from the county-level
estimates prepared by US EPA for use in the National Emissions Inventory (NEI) for 2014 (US
EPA, 2016). The 2014 NEI utilized 2013 state-level fuel consumption data from Energy
Information Administration’s (EIA) State Energy Data System (SEDS). ERG reviewed potential
sources of activity data for 2014 to update the emission estimates for Maricopa County. Fuel
consumption data for 2014 are available from EIA’s SEDS (EIA 2016) and indicate 1,004,000
barrels of LPG consumed in the residential sector in Arizona. State-level emissions were then
allocated to Maricopa County based on the ratio of housing units that utilize LPG at the countylevel to state-level. Data used in the 2014 NEI indicate that approximately 15% of all
households using LPG in the state of Arizona are located in Maricopa County.
Typical daily emissions were calculated by dividing annual emissions by heating degree days
(i.e. the number of degrees per day that the daily average temperature is below 65 °F). However,
data obtained from National Oceanic and Atmospheric Administration (NOAA, 2016) indicated
that there were no heating degree days reported during the May-September period (i.e., 5 months
totaling 153 days). Assuming that no residential LPG combustion activity took place during
those months, it is assumed that all residential LPG combustion occurred during the remaining
212 days of the year. Thus, typical daily emissions were calculated by dividing annual emission
by the number of days residential LPG combustion occurred.
Annual and typical daily emissions for the PM10 nonattainment area were calculated by multiplying the county-level emissions totals by the ratio of resident population in the nonattainment area
to the total resident population in the county (100.23%). See Section 1.5.1 for a discussion of the
population data used. Annual and typical daily emissions for Maricopa County and the PM10
nonattainment area are presented in Table 3.2–10.
Table 3.2–10. Annual and typical daily emissions from residential LPG combustion.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 0.2
0.1
41.5
0.2
0.1
1
1
391
2
1
PM10 NAA
0.2
0.1
41.5
0.2
0.1
1
1
392
2
1

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Maricopa County, AZ • September 2016

3.2.3.4 Residential kerosene
County-level emission estimates that were developed for use in US EPA’s 2014 National
Emissions Inventory (NEI) were obtained and reviewed (US EPA, 2016). The 2014 NEI utilized
2013 state-level fuel consumption data from Energy Information Administration’s (EIA) State
Energy Data System (SEDS) (EIA, 2016). The 2013 fuel consumption data for Arizona indicated
no kerosene consumption in the residential sector; therefore, the 2014 NEI emission estimates for
Arizona and Maricopa County were also zero.
ERG reviewed available activity data sources for 2014 at the state-level and county-level.
Review of Arizona data downloaded from SEDS for 2014 (EIA 2016) indicated zero consumption of kerosene in the residential sector for the entire state of Arizona (and thus also Maricopa
County). Since the available activity data indicates that there is no kerosene consumption in the
residential sector for Arizona, the emissions from this source category are considered to be zero.
3.2.3.5 Residential wood combustion
Annual emissions from residential wood combustion were derived from the county-level estimates prepared by US EPA for use in the National Emissions Inventory (NEI) for 2014 (US
EPA, 2016). County-level annual emissions by appliance type are shown in Table 3.2–11.
Table 3.2–11. Annual emissions from residential wood combustion (RWC) in Maricopa
County, by appliance type (from EPA’s RWC emissions-estimation tool)..
Annual emissions (tons/yr)
Appliance type
PM10 PM2.5
NOx
SOx
NH3
Woodstoves:
–Fireplace insert, non EPA-certified
179.1 179.1
19.7
3.0
13.7
–Fireplace insert, EPA-certified, non-catalytic 114.6 114.6
10.5
1.5
6.4
–Fireplace insert, EPA-certified, catalytic
48.1
48.1
5.6
1.0
2.2
–Freestanding, non EPA-certified
14.8
14.8
1.5
0.3
0.7
–Freestanding, EPA-certified, non-catalytic
341.8 341.8
31.3
4.5
19.0
–Freestanding, EPA-certified, catalytic
271.5 271.5
31.6
5.5
12.5
–Pellet-fired, general
188.4 188.4
18.5
3.7
8.3
Hydronic heater: outdoor
14.5
14.5
18.0
1.5
1.4
Outdoor wood burning device, NEC
5.0
5.0
0.6
0.1
0.4
Residential firelog
73.3
71.0
19.2
–
–
Totals:
1,251.0 1,248.7 156.3
21.1
64.5
Typical daily emissions were calculated by dividing annual emissions by heating degree days
(i.e. the number of degrees per day that the daily average temperature is below 65 °F). However,
data obtained from National Oceanic and Atmospheric Administration (NOAA, 2016) indicated
that there were no heating degree days reported during the May–September period (i.e., a 5month period totaling 153 days). Since it was assumed that no (or negligible) residential wood
combustion took place during this 5-month period, then all residential wood combustion must
have occurred during the remaining 212 days of the year. Thus, typical daily emissions were
calculated by dividing annual emissions by 212.

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Maricopa County, AZ • September 2016

Annual and typical daily emissions within the PM10 nonattainment area were calculated by
multiplying county totals by the ratio of total population in the nonattainment area to total
population in the county (100.23%). See Section 1.5.1 for a discussion of the population data
used. Table 3.2–12 summarizes annual and daily emissions from residential wood combustion
for both the county and the PM10 nonattainment area.
Table 3.2–12. Annual and typical daily emissions from residential wood combustion.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5
NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 1,251.0 1,248.7 156.3 21.1 64.5 11,802 11,780 1,475
199
608
PM10 NAA
1,253.9 1,251.6 156.7 21.2 64.6 11,829 11,807 1,478
200
609
3.3

Industrial processes

3.3.1

Chemical manufacturing

Historically, emissions from chemical manufacturing were calculated for the periodic emissions
inventory by the “scaling up” method as described elsewhere in this report. However, the
sample size for the 2014 periodic emissions inventory was not large enough to calculate an
accurate and reliable result. Therefore, data from the 2011 Periodic Emissions Inventory for
PM10 (MCAQD, 2014) were grown to 2014 based on industrial employment.
Annual and daily emissions for the PM10 nonattainment area were calculated by multiplying the
Maricopa County emission totals by the percentage industrial employment within the nonattainment area. See Section 1.5.1 for a discussion of the employment data used. Table 3.3–1
summarizes annual and daily emissions from chemical manufacturing in both Maricopa County
and the PM10 nonattainment area.
Table 3.3–1. Annual and typical daily emissions from area-source chemical
manufacturing.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
108.5
65.5
1,172
654
PM10 nonattainment area
108.1
65.3
1,168
652
3.3.2

Food and kindred products

3.3.2.1 Commercial cooking
Emissions from commercial cooking were estimated, for five types of commercial cooking
equipment, using county-level estimates prepared for use in U.S. EPA’s 2014 National Emissions Inventory (NEI) data and documentation (U.S. EPA, 2016). The 2014 NEI estimates were
developed using 2013 activity data from the U.S. Census Bureau as a surrogate for 2014 data.
The equipment types for which emissions were estimated included: chain-driven charbroilers,
under-fired charbroilers, deep-fat fryers, flat griddles, and clamshell griddles.

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Maricopa County population data for 2013 and 2014 were obtained from the Arizona Department of Administration (ADOA, 2016). The population data indicated population growth of
1.6% from 2013 to 2014. This growth factor was then applied to the county-level estimates from
the 2014 NEI to develop emission estimates for Maricopa County for 2014. The 2014 NEI
estimates for the commercial cooking source category did not include NOx, SOx, and NH3
estimates.
Commercial cooking activity is assumed to occur uniformly throughout the year. Therefore,
typical daily emissions were developed by dividing the annual emissions by 365. The results are
shown in Table 3.3–2 below.
Table 3.3–2. Annual and typical daily emissions from commercial cooking equipment in
Maricopa County.
Annual emissions (tons/yr) Typical daily emissions (lb/day)
Equipment type
PM10
PM2.5
PM10
PM2.5
Chain-driven charbroilers
177.2
171.8
971
941
Under-fired charbroilers
1,219.4
1,178.7
6,681
6,459
Flat griddles
321.4
244.2
1,761
1,338
Clamshell griddles
21.2
18.0
116
99
Deep-fat fryers
–
–
–
–
Totals:
1,739.2
1,612.8
9,530
8,837
Annual and typical daily emissions for the PM10 nonattainment area were calculated by multiplying the county-level emissions totals by the ratio of resident population in the nonattainment area
to the total resident population in the county (100.23%). See Section 1.5.1 for a discussion of the
population data used. Table 3.3–3 below summarizes the annual and typical daily emissions from
commercial cooking in the PM10 nonattainment area.
Table 3.3–3. Annual and typical daily emissions from commercial cooking equipment in
the PM10 nonattainment area.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Equipment type
PM10
PM2.5
PM10
PM2.5
Chain-driven charbroilers
177.6
172.2
973
943
Under-fired charbroilers
1,222.1
1,181.4
6,697
6,474
Flat griddles
322.1
244.8
1,765
1,341
Clamshell griddles
21.3
18.0
117
99
Deep-fat fryers
–
–
–
–
Totals:
1,743.1
1,616.4
9,551
8,857
3.3.2.2 Grain handling/processing
Emissions from grain handling and processing operations were calculated by the “scaling up”
method as described in EPA emission inventory guidance (US EPA, 2001a). This method
combines detailed emissions data from a subset of sources, and county-level employment data
from the US Census Bureau (2013) to estimate an annual per-employee emission factor that is
then used to estimate emissions from all sources in an industry category.
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The most recent employment estimates (for the year 2013) from the US Census Bureau’s County
Business Patterns (CBP) were used. Table 3.3–4 shows the NAICS codes and employment
estimates used to calculate emissions from grain handling and processing operations.
Table 3.3–4. County-level employment estimates for grain handling and processing
operations, by NAICS code.
NAICS
Estimated
code
NAICS description
employment
115111
Cotton ginning
50
42399
Other miscellaneous durable goods merchant wholesalers
1,682
Total:
1,732
Table 3.3–5 summarizes annual and typical daily emissions from grain handling and processing
operations in both Maricopa County and the PM10 nonattainment area.
Table 3.3–5. Annual and typical daily emissions from area-source grain handling and
processing.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
178.2
19.0
1,037
1,033
PM10 nonattainment area
177.6
18.9
135
134
3.3.2.3 Ammonia cold storage
Area-source emissions from ammonia cold storage are estimates of ammonia emissions from
food and kindred products industrial sources that use ammonia for refrigeration of food products.
Emission calculations are based on the number of employees in the food and kindred products
industry classification (NAICS codes 311, 312) as reported by the 2013 County Business
Patterns (US Census Bureau, 2013). Annual emissions were calculated by multiplying employment numbers by the emission factor for ammonia cold storage as listed in Table 6-5 of
“Development and Selection of Ammonia Emission Factors” (Battye et al., 1994).
Typical daily emissions were calculated by dividing annual emissions by the number of days per
year that activity occurred. Annual and typical daily emissions for the PM10 nonattainment area
were calculated by multiplying Maricopa County emissions by the ratio of industrial employment in the County to the PM10 nonattainment area. See Section 1.5.1 for a discussion of
employment data used. Results are shown in Table 3.3–6.

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Table 3.3–6. Annual and typical daily ammonia emissions from cold storage.
Geographic area
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Maricopa County
1,973.3
12,649
PM10 nonattainment area
1,966.2
12,604
3.3.3

Secondary metal production

Annual emissions from secondary metal production facilities were derived from annual emissions reports from permitted sources. As this category consists primarily of foundries, it was
assumed that there were no significant unpermitted sources within Maricopa County. Since all
facilities considered in this section are located within the PM10 nonattainment area, total
emission values for the county and the nonattainment area are equal. Annual and typical daily
emissions are shown in Table 3.3–7.
Table 3.3–7. Annual and typical daily emissions from secondary metal production.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 53.6
39.8
55.1
30.6
0.5
411
306
488
282
3
PM10 NAA
53.6
39.8
55.1
30.6
0.5
411
306
488
282
3
3.3.4

Nonmetallic mineral product manufacturing

The primary contributors to this source category include concrete batch plants, ceramic clay and
tile manufacturing, brick manufacturing, and gypsum mining. Emissions from this source category were derived from annual emissions reports from permitted facilities. Since all permitted
facilities in this category were surveyed in 2011, it was assumed that there were no significant
unpermitted sources within Maricopa County. Some portable concrete batch operations which
operate within Maricopa County for only part of the year are issued air quality permits by the
Arizona Department of Environmental Quality (ADEQ). Emissions from these state-permitted
portable sources are addressed in Section 3.3.12, “Industrial processes not elsewhere classified”.
Typical daily emissions were calculated based on the operating schedule data reported by surveyed facilities. County-permitted portable sources with no location data were assumed to
operate within the PM10 nonattainment area as a conservative estimate. Since all facilities
considered in this section were located within the PM10 nonattainment area, total emission values
for the county and the nonattainment area are equal. Table 3.3–8 summarizes annual and typical
daily emissions from nonmetallic mineral product manufacturing activities.
Table 3.3–8. Annual and typical daily emissions from area-source nonmetallic mineral
product manufacturing.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
43.4
18.2
325
134
PM10 nonattainment area
43.4
18.2
325
134

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3.3.5

Mining and quarrying

Annual emissions from area-source mining and quarrying operations were derived from annual
emission reports submitted by permitted sources. It was assumed that there were no significant
unpermitted sources within Maricopa County. Those portable mining and quarrying operations
which operate within Maricopa County for only part of the year are issued air quality permits by
the Arizona Department of Environmental Quality (ADEQ). Emissions from these statepermitted portable sources are addressed in Section 3.3.12, Industrial Processes not elsewhere
classified).
Typical daily emissions were calculated based on reported activity data (days per week) for each
individual process, and then summed. Nearly all processes reported operating on either a 5- or 6day week. Emissions within the PM10 nonattainment area were identified using information on
the location of each permitted facility. County-permitted portable sources with no location data
were assumed to operate within the PM10 nonattainment area as a conservative estimate. Annual
and daily emissions are shown in Table 3.3–9.
Table 3.3–9. Annual and typical daily emissions from area-source mining and quarrying
operations.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
66.8
14.9
464
102
PM10 nonattainment area
53.7
11.5
371
78
3.3.6

Wood product manufacturing

Emissions from wood product manufacturing were calculated by the “scaling up” method as
described in EPA emission inventory guidance (US EPA, 2001a). This method combines
detailed emissions data from a subset of sources, and county-level employment data from the US
Census Bureau (2013) to develop a per-employee emission factor that is then used to estimate
emissions from all sources in an industry category.
The most recent data from the US Census Bureau’s County Business Patterns (CBP) for 2013
employment were used. Table 3.3–10 shows the NAICS codes and employment data used to
calculate emissions from wood product manufacturing.
Table 3.3–10. County-level employment estimates for wood product manufacturing, by
NAICS code.
NAICS
Estimated
code
NAICS description
employment
321
Wood products manufacturing
3,267
337
Furniture and related products manufacturing
4,105
Total:
7,372
Some facilities in this category are considered point sources and have been addressed in Chapter
2. To avoid double-counting, employment at point sources is subtracted from total employment.
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Typical daily emissions were calculated in the same method as annual emissions, only using
surveyed daily emissions instead of annual totals. Annual and typical daily emissions for the
PM10 nonattainment area were calculated by multiplying the Maricopa County emission totals by
the percentage of industrial employment within the nonattainment area. See Section 1.5.1 for a
discussion of the employment data used. Table 3.3–11 summarizes annual and typical daily
emissions from wood products manufacturing in both Maricopa County and the PM10
nonattainment area.
Table 3.3–11. Annual and typical daily emissions from area-source wood products
manufacturing.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
24.3
23.1
180
172
PM10 nonattainment area
24.2
23.0
179
171
3.3.7

Rubber/plastics product manufacturing

Emissions from area-source rubber and plastic manufacturing facilities were calculated by the
“scaling up” method as described in EPA emission inventory guidance (US EPA, 2001a). This
method combines detailed emissions data from a subset of sources, and county-level
employment data from the US Census Bureau (2013) to develop a per-employee emission factor
that is then used to estimate emissions from all sources in an industry category. The most recent
data from the US Census Bureau’s County Business Patterns (CBP) for 2013 employment were
used. Where CBP employment estimates were presented as a range, the midpoint values were
chosen for these calculations. Table 3.3–12 shows the NAICS codes and employment data used
to calculate emissions from rubber and plastic manufacturing facilities.
Table 3.3–12. County-level employment estimates for rubber and plastic product
manufacturing, by NAICS code.
NAICS
Estimated
code
NAICS description (and employment range)
employment
325211
Plastics material and resin manufacturing
199
326199
All other plastics product manufacturing
2,120
326212
Tire retreading
61
326299
All other rubber product manufacturing
140
332313
Plate work manufacturing
85
336413
Other aircraft parts and aux. equipment manufacturing
1,257
339113
Surgical appliance and supplies manufacturing
372
339115
Ophthalmic goods manufacturing
90
42313
Tire and tube merchant wholesalers
397
42393
Recyclable material merchant wholesalers
1,558
44131
Automotive parts and accessories stores
3,613
44132
Tire dealers
2,455
12,347
Total:

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Some facilities in this category are considered point sources and have been addressed in Chapter
2. To avoid double-counting, employment at point sources is subtracted from total employment.
Daily emissions are calculated in the same method as annual emissions, only using surveyed
daily emissions instead of annual totals. Annual and typical daily emissions for the PM10
nonattainment area were calculated by multiplying the Maricopa County emission totals by the
percentage of industrial employment within the nonattainment area. See Section 1.5.1 for a
discussion of the employment data used. Table 3.3–13 summarizes annual and typical daily
emissions from rubber/plastic products manufacturing in both Maricopa County and the PM10
nonattainment area.
Table 3.3–13. Annual and typical daily emissions from area-source rubber/plastic product
manufacturing.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
95.8
80.2
702
614
PM10 nonattainment area
95.5
79.9
699
612
3.3.8

Fabricated metal products manufacturing

Emissions from fabricated metal products manufacturing were calculated by the “scaling up”
method as described in EPA emission inventory guidance (US EPA, 2001a). This method
combines detailed emissions data from a subset of sources and county-level employment data
from the US Census Bureau (2013) to develop a per-employee emission factor that is then used
to estimate emissions from all sources in an industry category.
The most recent data from the US Census Bureau’s County Business Patterns (CBP) for 2013
employment were used. CBP employment data for NAICS code 332 (fabricated metal products
manufacturing) indicated that there were 14,662 employees in this industry in Maricopa County.
Since there were no point sources in this category, an area-source employment estimate of
14,662 was used to “scale up” emissions reported from those facilities surveyed in 2014.
Typical daily emissions are calculated in the same method as annual emissions, only using
surveyed daily emissions instead of annual totals. Annual and typical daily emissions for the
PM10 nonattainment area were calculated by multiplying the Maricopa County emission totals by
the percentage of industrial employment within the nonattainment area. See Section 1.5.1 for a
discussion of the employment data used. Table 3.3–14 summarizes annual and typical daily
emissions from fabricated metal products manufacturing in both Maricopa County and the PM10
nonattainment area.

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Table 3.3–14. Annual and typical daily emissions from area-source fabricated metal
products manufacturing.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
14.0
12.9
100
92
PM10 nonattainment area
13.9
12.9
99
92
3.3.9

Construction

Maricopa County’s air quality permits database was used to identify all dust control permits
issued during 2014. A total of 3,046 permits were issued, comprising a total of 28,872 acres
(Table 3.3–15). Data requested on each dust control permit application includes the project type
and acreage. It was assumed there is no unpermitted earthmoving activity.
Table 3.3–15. Maricopa County dust control permits issued in 2014, by permit type.
Project type
Reported acreage
Residential (single- and multi-family)
15,316
Commercial/ Industrial
9,539
Road construction
2,160
Trenching
11
Demolition
1,204
Site preparation/land development
622
Temporary storage yard
20
Total:
28,872
The Western Regional Air Partnership (WRAP) Fugitive Dust Handbook (WRAP, 2006a) provides different emission factors for residential (single-family houses and apartment buildings),
nonresidential, road, and general construction. MCAQD used the WRAP-recommended
emission factors except for the following activities:
•

•

The WRAP Fugitive Dust Handbook recommended using 0.42 ton PM10/acre-month for
road construction to account for the large amount of dirt moved during the construction
of roadways. However, both the (California) South Coast Air Quality Management
District (SCAQMD) and the Clark County (Nevada) Department of Air Quality and
Environmental Management have estimated that a certain percentage of their road
construction projects do not involve large-scale earthmoving activities, and thus have
developed average emission factors for road construction projects (0.1895 ton PM10/acremonth and 0.265 ton PM10/acre-month, respectively).
Since Maricopa County and Clark County have similar population growth rates, climatic
conditions, and PM10 sources, MCAQD used the Clark County road construction
emission factor of 0.265 tons/acre-month to estimate emissions from road construction
projects (Clark County, 2001).

Specific emission factors were not available in the WRAP Fugitive Dust Handbook for trenching, demolition, or temporary storage yard activities; thus, the general construction emission
factor of 0.11 tons PM10/acre-month was used to estimate emissions from these activities.

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Information was not readily available regarding the breakout of residential construction activity
between single-family and multi-family residential construction; thus, acreage for residential
construction was allocated based on single-family and multi-family household percentages (See
Section 1.5.1 for single-family and multi-family household percentages used).
Estimates for the duration of house and apartment construction were obtained from EIIP
guidance (US EPA, 2002), while estimates for the duration of nonresidential construction and
road construction were obtained from the WRAP Fugitive Dust Handbook (WRAP, 2006a). No
estimates for a ‘typical’ duration for trenching, demolition, site prep/land development, or temporary storage yard activities were available. Thus MCAQD made the following assumptions:
•
•
•

1-month duration for trenching and demolition.
8-month duration for site prep/land development activities (weighted average of residential
and commercial duration) as the actual duration depends on the project type and size.
12-month duration for temporary storage yard activities, since these activities are frequently
associated with road construction.

The average duration of construction activity and emission factors for each project type are
shown below in Table 3.3–16.
Table 3.3–16. Average duration of construction projects and emission factor, by project
type.
Average duration
Emission factor
Activity type
(months)
(tons PM10/acre-month)
Residential: single-family
6
0.032
Residential: multi-family
12
0.11
Commercial
11
0.19
Road construction
12
0.265
Trenching
1
0.11
Demolition
1
0.11
Weed control
1
0.11
Site preparation/land development
8
0.11
Temporary storage yard
12
0.11
County-wide annual uncontrolled PM10 emissions for each construction category were then
calculated as follows:
Annual uncontrolled
PM10 emissions

= total acres/yr

× no. months × emission factor

As in prior periodic emissions inventories, a control efficiency of 90% for watering was applied
to the uncontrolled emissions calculations. This control efficiency is consistent with similar
values that have been applied in a number of earlier SIP documents for both Maricopa County as
well as Clark County (Nevada), including:
•
Revised MAG 1999 Serious Area Particulate Plan for PM10 (Appendices volume two, page
V-9, and vol. four), Feb. 2000.

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Revised MAG 1999 Serious Area Particulate Plan for PM10, (Appendix C, Exhibit 3:
Evaluation for Compliance with 24-Hour PM10 Standard for West Chandler and Gilbert
Microscale Sites, Arizona Department of Environmental Quality, June 1999, pp. 3-5 and 39), Feb. 2000.
•
“Evaluation of Fugitive Dust Control in the Maricopa Co. PM10 Nonattainment Area”,
report by ENSR in: Final Plan for Attainment of the 24-hour PM10 Standard, ADEQ, May
1997, Appendix B.
•
Clark Co. PM10 State Implementation Plan, June 2001, pg. L-5. (This document assumes
an 87% emission reduction percentage for watering at construction activities.)
A 2014 rule effectiveness study by Maricopa County (described more fully in Appendix B)
estimated a 90.94% compliance rate with Maricopa County Rule 310 on dust control at
construction sites. Thus, an overall control effectiveness of 81.8% (= 90% × 90.9%) was applied
for all Maricopa County construction activity. Controlled PM10 emissions were calculated as
follows:
•

Annual controlled
PM10 emissions

=

Annual uncontrolled × [1 – (control efficiency × rule effectiveness)]
PM10 emissions

PM2.5 emissions were estimated to comprise 10% of PM10 emissions (WRAP, 2006a). Table
3.3–17 summarizes the calculations for each dust control permit category.
Table 3.3–17. Annual emissions (tons/yr) from construction activity in Maricopa County.
Total
Emission factor Annual
Annual
acre(tons/acrePM10
PM2.5
Activity type
months
month)
emissions emissions
Residential: single-family
68,923
0.032
400.4
40.0
Residential: multi-unit
45,949
0.11
917.6
91.8
Commercial
104,932
0.19
3,619.4
361.9
Road construction
25,920
0.265
1,247.0
124.7
Trenching
11
0.11
0.2
0.0
Demolition
1,204
0.11
24.0
2.4
Site preparation/land development
4,972
0.11
99.3
9.9
Temporary storage yard
236
0.11
4.7
0.5
Totals:
6,312.6
631.3
Dust control permit site location data were used to determine construction activity that occurred
in the Maricopa County PM10 nonattainment area. The same average duration of construction
activity and emission factors used to estimate Maricopa County emissions (see Table 3.3–18)
were applied to construction activity in the Maricopa County PM10 nonattainment area. Table
3.3–18 summarizes Maricopa County PM10 nonattainment area construction activity and
calculations for each project type.

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Table 3.3–18. Annual emissions from construction within the Maricopa County portion of
the PM10 nonattainment area, by project type.
Emission
Total
factor
acre(tons/acreControlled
Controlled
Activity type
months
month)
PM10
PM2.5
Residential: single-family
64,438
0.032
374.3
37.4
Residential: multi-unit
42,956
0.11
857.8
85.8
Commercial
81,851
0.19
2,823.2
282.3
Road construction
19,258
0.265
926.4
92.6
Trenching
11
0.11
0.2
0.0
Demolition
1,202
0.11
24.0
2.4
Site prep/land development
4,953
0.11
98.9
9.9
Temporary storage yard
31
0.11
0.6
0.1
Totals:
5,105.5
510.6
In addition, the Pinal County Air Quality Department (PCAQD) provided construction emission
estimates for the Pinal County portion of the PM10 nonattainment area. The PCAQD estimates
(presented in Table 3.3–19 below) incorporated the same assumptions concerning relevant input
variables such as the average duration of construction activity, emission factors and control
efficiency. PCAQD assumed an 83% rule effectiveness.
Table 3.3–19. Annual and typical daily emissions from construction activity in the Pinal
County portion of the PM10 nonattainment area.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Project type
PM10
PM2.5
PM10
PM2.5
Residential: single-family
1.5
0.2
10
1
Residential: multi-family
0.0
0.0
0
0
Commercial
35.1
3.5
225
22
Road construction
0.0
0.0
0
0
Trenching
0.0
0.0
0
0
Temporary storage yard
0.0
0.0
0
0
Totals:
36.6
3.7
234
23
To calculate typical daily emissions from construction activity, it was assumed that construction
activity typically occurs 6 days per week and remains relatively even throughout the year. Thus,
typical daily emissions were calculated by dividing annual emissions for each category were
divided by 312 (= 6 days/week × 52 weeks/yr) to derive the daily emissions estimates shown in
Table 3.3–20.

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Table 3.3–20. Annual and typical daily emissions from construction activity in Maricopa
County and the PM10 nonattainment area.
Maricopa County
PM10 NAA
Typical daily
Typical daily
Annual emissions
emissions
Annual emissions
emissions
(tons/yr)
(lbs/day)
(tons/yr)
(lbs/day)
Activity type
PM10
PM2.5
PM10
PM2.5
PM10
PM2.5
PM10
PM2.5
Residential
1,318.0
131.8
8,448
845 1,233.6
123.4
7,908
791
Commercial
3,619.4
361.9
23,201 2,320 2,858.3
285.8
18,322
1,832
Road
1,247.0
124.7
7,993
799
926.4
92.6
5,939
594
All other*
128.3
12.8
822
82
123.8
12.4
793
79
Totals:
6,312.6
631.3
40,465 4,047 5,142.1
514.2
32,962
3,296
*Includes: trenching, demolition, site prep/land development, and temporary storage yards.

3.3.10 Electrical equipment manufacturing
Annual and typical daily emissions from electric equipment manufacturing were derived from
annual emissions reports submitted by permitted sources. It was assumed that there were no
significant unpermitted sources within Maricopa County and all electrical equipment manufacturing permitted sources are reported here as area sources.
As all facilities addressed in this source category are located within the PM10 nonattainment area,
emission totals for both areas are equal. Annual and typical daily emissions are shown in Table
3.3–21.
Table 3.3–21. Annual and typical daily emissions from area-source electric equipment
manufacturing.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 26.0
18.5
24.3
0.6
14.3
144
102
135
3
79
PM10 NAA
26.0
18.5
24.3
0.6
14.3
144
102
135
3
79
3.3.11 Paved/unpaved road travel on industrial sites
This section addresses emissions from travel on paved and unpaved roads within the boundaries
of a permitted facility. Emissions from motor vehicle travel on public and private roads is
addressed in Chapter 5, Mobile Sources, and road travel emissions from facilities considered
point sources are addressed in Chapter 2, Point Sources. PM10 emissions from this source
category were derived from annual emissions reports from permitted sources, using AP-42
equations based on vehicle size and average speed (US EPA, 1997; 1998). It is assumed that
there are no unpermitted sources with significant emissions from on-site road travel.
PM2.5 emissions were calculated from PM10 using a ratio derived from California Air Resources
Board’s (CARB) PM2.5 Fraction Table (CARB, 2006).
Typical daily emissions were calculated using operating schedule information for each reported
process (normally a 5- or 6-day week), which were then summed to provide total daily emissions
2014 Periodic Emissions Inventory for PM10

39

Maricopa County, AZ • September 2016

for the county. Emissions totals for the PM10 nonattainment area were determined from the site
locations of each facility. Results are shown in Table 3.3–22.
Table 3.3–22. Annual and typical daily emissions from paved and unpaved road travel at
industrial facilities.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
205.0
87.3
1,476
587
PM10 nonattainment area
131.8
29.4
1,000
215
3.3.12 Industrial processes not elsewhere classified
Annual area-source emissions from other industrial processes not elsewhere classified (NEC)
were derived primarily from annual emissions reports from permitted facilities. Other industrial
processes include a wide array of industrial activities that are often specific to the permitted
facility that reported the process. For this reason, it is assumed there are no significant emissions
from other industrial processes, other than those reported by permitted facilities on their annual
emissions reports. Typical daily emissions were calculated based on operating schedule information provided by individual facilities through MCAQD’s annual emissions reporting program.
Emissions estimates for the PM10 nonattainment area were derived using data on the location of
the facilities that report other industrial processes.
In addition, emissions from ADEQ-permitted sources are included in this category due to a lack
of specificity regarding the nature of the reported emissions. As a conservative estimate, all of
these emissions are assumed to occur within the PM10 nonattainment area. Estimates of total
emissions from this source category are presented in Table 3.3–23.
Table 3.3–23. Annual and typical daily emissions from industrial processes not elsewhere
classified.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Cty 245.7 112.0 452.2
7.9
7.6
1,387
631
2,478
43
44
PM10 NAA
159.9 55.7
449.7
7.7
4.8
915
322
2,464
42
28
3.4

Waste treatment and disposal

3.4.1

On-site incineration

This section includes emissions from on-site industrial incinerators, primarily burn-off ovens
used to reclaim electric wire or other materials. Emissions from human and animal crematories
are addressed in Section 3.5.7.
Historically, emissions from on-site incinerator were determined from annual emissions
inventory reports. It was assumed that all incinerators were surveyed and emissions accounted
for, since all permitted incinerators received surveys in 2011. Not all incinerators were sampled

2014 Periodic Emissions Inventory for PM10

40

Maricopa County, AZ • September 2016

for the 2014 annual emissions inventory. As such, data from the 2011 Periodic Emissions
Inventory for PM10 (MCAQD, 2014) were grown to 2014 based on industrial employment.
Annual and typical daily emissions estimates for the PM10 nonattainment area were calculated by
multiplying the Maricopa County emission totals by the percentage industrial employment
within the nonattainment area. See Section 1.5.1 for a discussion of the employment data used.
Results are shown in Table 3.4–1.
Table 3.4–1. Annual and typical daily emissions from on-site incineration.
Geographic area
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
PM10
PM2.5
NOx SOx PM10
PM2.5
NOx
SOx
Maricopa Cty
0.6
0.4
3.0
0.9
4
2
19
6
PM10 NAA
0.6
0.4
2.9
0.9
4
2
19
6
3.4.2

Open burning

Emissions from controlled open burning are regulated by Maricopa County Rule 314 (Open
Outdoor Fires and Indoor Fireplaces at Commercial and Institutional Establishments), which
requires a burn permit for open burning in Maricopa County. Burn permits are issued primarily
for purposes of agricultural ditch bank and fence row burning, tumbleweed burning, land
clearance, and firefighting training. MCAQD’s burn permit data base was used to identify all
burn permits issued in 2014. A total of 43 open burn permits were issued during the year. The
quantity and reported activity for the open burn permits (except for firefighting burn permits) are
shown in Table 3.4–2.
Table 3.4–2. Maricopa County burn permit activity during 2014.
Permits
Total reported
Category
issued
activity
Unit of measure
Ditchbank & fence row
23
617,007
Linear feet
Land clearance
13
240
Acres
Firefighting instruction
5
12
Structures
Activity data for all categories were converted to tons of material burned using fuel loading
factor for “weeds, unspecified” from AP-42 (US EPA, 1992). Activity data were multiplied by
the 3.2 tons/acre fuel loading factor to derive the total mass of material burned. Annual
emissions were then calculated by multiplying the amount of material burned by the AP-42
emission factors for “weeds, unspecified”.
To estimate typical daily emissions, it was assumed that activity in all categories listed above
normally occurs, on average, 5 days per week. Thus, typical daily emissions were calculated by
dividing total annual emissions by 260 (=5 days/week × 52 weeks/year).
MCAQD’s records of citizen complaints received during 2014 regarding suspected open or
illegal outside burning were reviewed to assess the potential extent of unpermitted open burning
activity. Emissions estimates from permitted burn activity were multiplied by a factor of 2.87 to
account for unpermitted outdoor burning.

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Maricopa County, AZ • September 2016

Annual and daily emissions for the PM10 nonattainment area were calculated by applying ratios
of various land-use types located in the nonattainment area to County-level emissions estimates.
See Section 1.5.2 for a discussion of the land-use data used. Table 3.4–3 summarizes annual and
typical daily emissions from open burning, for both Maricopa County and the PM10 nonattainment area.
Table 3.4–3. Annual and typical daily emissions from open burning.
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
NOx
PM10
PM2.5
NOx
Maricopa County
30.4
30.4
8.1
234
234
62
PM10 nonattainment area
9.9
9.9
2.6
76
76
20
3.4.3

Landfills

Emissions from municipal solid waste (MSW) landfills come from uncontrolled landfill gas
emissions as well as from cover operations and combustion from control measures, such as a
flare. Total emissions were calculated from annual emissions inventory reports from all landfills
located within the county; results are shown in Table 3.4–4 below. Butterfield Station Facility,
Glendale Municipal Sanitary Landfill and Northwest Regional Landfill were considered as point
sources; all other MSW landfills are reported here as an area-source category.
Geographic data on the location of each landfill was used to identify whether each landfill was
located inside or outside of the nonattainment area. Annual and typical daily emissions for
Maricopa County and the nonattainment area are summarized in Table 3.4–4.
Table 3.4–4. Annual and typical daily emissions from landfills.
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Geographic area
PM10 PM2.5 NOx SOx
PM10
PM2.5 NOx
SOx
Maricopa County
67.5
65.5
9.9
6.6
377
365
54
36
PM10 nonattainment area
46.8
45.5
5.2
3.2
260
253
29
17
3.4.4

Publicly owned treatment works

Annual emissions from publicly owned treatment works (POTWs) within Maricopa County were
obtained from the US Environmental Protection Agency’s 2014 National Emission Inventory
(US EPA, 2012c). US EPA estimated that 11.7 tons of ammonia was emitted from POTWs in
Maricopa County in 2014. There were no point sources in this category that needed to be
subtracted.
Typical daily emissions were calculated by dividing annual emissions by 365 days, as activity is
assumed to occur uniformly throughout the year. Annual and typical daily emissions for the
PM10 nonattainment area were calculated by multiplying the Maricopa County emission totals by
the percentage of total population in the nonattainment area to the total population in the county
(100.31%). See Section 1.5.1 for a discussion of the population data used. The resulting
emissions estimates are presented in Table 3.4–5 below.

2014 Periodic Emissions Inventory for PM10

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Maricopa County, AZ • September 2016

Table 3.4–5. Annual and typical daily NH3 emissions from publicly-owned treatment
works.
Annual NH3 emissions
Typical daily NH3
Geographic area
(tons/yr)
emissions (lbs/day)
Maricopa County
11.7
64
PM10 nonattainment area
11.7
64
3.4.5

Other waste

Annual area-source emissions from other industrial waste disposal were derived from annual
emissions reports from permitted facilities. Other industrial waste disposal processes include a
wide array of industrial activities that are often specific to the permitted facility that reported the
process. For this reason, it is assumed there are no significant emissions from this category,
other than those reported by permitted facilities on their annual emissions reports. Typical daily
emissions were calculated based on operating schedule information provided by the facilities in
their annual emissions report. Annual and typical daily emissions for the PM10 nonattainment
area were derived based on the location data of the individual facilities. Emission estimates are
shown in Table 3.4–6 below.
Table 3.4–6. Annual and typical daily emissions from other industrial waste disposal.
Annual emissions (tons/yr)
Typical daily emissions
(lbs/day)
Geographic area
PM10 PM2.5 NOx
SOx
PM10 PM2.5 NOx
SOx
Maricopa County
23.0
11.1
20.6
51.4
161
75
113
282
PM10 nonattainment area
12.4
9.5
20.5
50.5
81
62
113
277
3.5

Miscellaneous area sources

3.5.1 Windblown dust
Estimates of PM10 and PM2.5 emissions from windblown dust are developed using the supplylimited windblown dust emission scheme described in detail in Appendix 4 of the 2008 PM10
Periodic Emissions Inventories for the Maricopa County, Arizona, Nonattainment Area
(MCAQD, 2011). Updates to the methodology developed for the 2008 inventory include the use
of 2014 land-use data, 2014 rule effectiveness rates, 2014 meteorological data, and 2014 PM10
concentration data.
The land-use categories that are capable of producing windblown dust in Maricopa County and
the PM10 nonattainment area were defined in the 2011 PM10 Periodic Emissions Inventories for
the Maricopa County, Arizona, Nonattainment Area (MCAQD, 2014). Table 3.5–1 contains the
amount of acreage in each land-use category capable of producing windblown dust within
Maricopa County and the nonattainment area and Figure 3.5–1 displays the location of these
land-use categories.

2014 Periodic Emissions Inventory for PM10

43

Maricopa County, AZ • September 2016

Table 3.5–1. Total acreage capable of producing windblown dust, within Maricopa
County and the PM10 nonattainment area, by land-use category.
Maricopa County
PM10 nonattainment
Land-use category
acreage
area acreage
Agriculture
268,491
115,244
Commercial
18,972
17,947
Developing
18,508
16,405
Industrial
32,622
32,419
Public/Military
37,784
26,705
Sand & Gravel/Mining
12,402
10,534
Vacant and Open Areas
3,899,581
794,087
Based upon a matched-pairs comparison of wind speed and PM10 concentration data, a fiveminute average wind speed of 12 mph has been established as the threshold when windblown
dust emissions are created from both the stable and disturbed portions of each land-use category.
Vertical flux PM10 emission factors for the stable and disturbed portions of each land-use
category have been developed for five-minute average wind speed bins. The vertical flux
emission factors are primarily based upon wind tunnel testing performed in southern Arizona
with additional input from, and consideration of, wind tunnel tests in the areas around Barstow,
California and Las Vegas, Nevada.
The amount of stable and disturbed land in each land-use category is determined through the use
of rule effectiveness (RE) rates (e.g., a RE rate of 90% would assume 90% of the land is
stabilized and 10% is disturbed). RE rates calculated from 2014 activity are used for most landuse categories whenever available. As RE rates for agricultural land have not been updated, the
rates developed for the MAG 2012 Five Percent Plan (MAG, 2012) are assumed to represent
2014 conditions on agricultural land. Table 3.5–2 contains the PM10 vertical flux emission
factors for the stable and disturbed portions of each land-use category, by wind speed bin.

2014 Periodic Emissions Inventory for PM10

44

Maricopa County, AZ • September 2016

Figure 3.5–1. Location of land-use categories within Maricopa County capable of
producing windblown dust.

Table 3.5–2. Vertical flux PM10 emission factors for the stable and disturbed portions of
each land-use category, by wind speed bin.
PM10 emission factor
Percent of
(tons/acre-5-minute)
total landby wind speed bin (mph)
use
Land-use category
category 12–15
15–20
20–25
25–30
30–35
Active agriculture (crop activity present)
Inactive agriculture – Stable
Inactive agriculture – Disturbed
Commercial – Stable
Commercial – Disturbed
Developing – Stable
Developing – Disturbed
Industrial – Stable
Industrial – Disturbed
Public/military – Stable
Public/military – Disturbed
Sand & gravel/Mining – Stable
Sand & gravel/Mining – Disturbed
Vacant and open areas – Stable
Vacant and open areas – Disturbed

2014 Periodic Emissions Inventory for PM10

NA
85%
15%
97%
3%
91%
9%
97%
3%
97%
3%
81%
19%
97%
3%

NA – Calculated under different methodology
1.10×10-5 2.93×10-5 7.68×10-5 1.64×10-4 3.10×10-4
5.44×10-5 1.69×10-4 5.14×10-4 1.24×10-3 2.57×10-3
1.10×10-5 2.93×10-5 7.68×10-5 1.64×10-4 3.10×10-4
5.44×10-5 1.69×10-4 5.14×10-4 1.24×10-3 2.57×10-3
1.10×10-5 2.93×10-5 7.68×10-5 1.64×10-4 3.10×10-4
5.44×10-5 1.69×10-4 5.14×10-4 1.24×10-3 2.57×10-3
1.10×10-5 2.93×10-5 7.68×10-5 1.64×10-4 3.10×10-4
5.44×10-5 1.69×10-4 5.14×10-4 1.24×10-3 2.57×10-3
1.10×10-5 2.93×10-5 7.68×10-5 1.64×10-4 3.10×10-4
5.44×10-5 1.69×10-4 5.14×10-4 1.24×10-3 2.57×10-3
1.10×10-5 2.93×10-5 7.68×10-5 1.64×10-4 3.10×10-4
5.44×10-5 1.69×10-4 5.14×10-4 1.24×10-3 2.57×10-3
1.10×10-5 2.93×10-5 7.68×10-5 1.64×10-4 3.10×10-4
5.44×10-5 1.69×10-4 5.14×10-4 1.24×10-3 2.57×10-3

45

Maricopa County, AZ • September 2016

Annual 2014 wind speed data from 37 meteorological stations are used to produce wind speed
counts for grouping into five-minute average wind speed bins. Where necessary, wind speeds
are adjusted to account for differences in heights between anemometers, grown to replace
missing values, and interpolated to produce five-minute averages. Table 3.5–3 lists the resulting
counts of five-minute average wind speeds for all meteorological stations in 2014.
Table 3.5–3. Annual 2014 counts of hourly average wind speeds and actual/interpolated
five-minute average wind speeds, by meteorological station and wind speed bin.
Count of
hourly
average
wind
speeds
Meteorological Station
>12 mph
ADEQ Ajo
359
ADEQ Queen Valley
912
ADEQ Super Site
5
AZMET Aguila
602
AZMET Buckeye
336
AZMET Desert Ridge
200
AZMET Harquahala
481
AZMET Maricopa
346
AZMET Mesa
39
AZMET Paloma
468
AZMET Phoenix Encanto
46
AZMET Phoenix Greenway
43
AZMET Queen Creek
341
MCAQD Blue Point
92
MCAQD Buckeye
169
MCAQD Cave Creek
142
MCAQD Central Phoenix
83
MCAQD Deer Valley
215
MCAQD Durango Complex
93
MCAQD Dysart
146
MCAQD Falcon Field
185
MCAQD Glendale
157
MCAQD Greenwood
26
MCAQD Higley
67
MCAQD Mesa
27
MCAQD North Phoenix
13
MCAQD Pinnacle Peak
187
MCAQD South Phoenix
17
MCAQD South Scottsdale
22
MCAQD Tempe
2
MCAQD West 43rd Avenue
214
MCAQD West Chandler
65
MCAQD West Phoenix
58
MCAQD Zuni Hills
418
PCAQCD Apache Junction
201
PCAQCD Cowtown
373
PCAQCD Stanfield
163
*Shaded cells denote interpolated values.

Count of
hourly
average
wind
speeds
>15 mph
70
392
0
255
111
44
225
111
2
187
10
7
125
23
50
36
14
74
22
43
50
28
3
18
3
2
34
5
6
0
46
12
10
163
70
136
39

Count of
hourly
average
wind
speeds
>18 mph
10
155
0
102
27
7
91
42
0
64
1
2
48
6
13
16
5
19
2
5
17
6
1
2
1
0
2
1
2
0
14
1
1
36
18
43
7

Count of five-minute average wind
speeds, by wind speed bin*

12–15 15–20 20–25 25–30 30–35
mph
mph
mph
mph
mph
3,334
981
82
12
2
7,821 4,960 1,030
188
32
462
116
17
2
0
5,306 3,267
684
130
22
3,147 1,487
193
34
6
2,044
659
63
12
2
4,324 2,896
612
113
20
3,228 1,487
291
41
7
738
140
17
2
0
4,218 2,426
435
72
13
794
239
23
2
0
770
202
30
7
1
3,188
1660
331
46
8
1,373
461
71
12
1
1,676
766
136
16
2
1,749
655
92
5
0
1,371
339
40
5
3
2,069 1,143
142
25
3
1,280
446
41
2
6
1,757
695
39
0
0
1,856
727
156
50
0
2,192
544
72
8
1
527
72
11
3
0
916
298
57
8
4
533
127
21
1
0
348
59
12
0
0
2,481
550
18
2
0
341
104
12
1
0
490
112
18
5
0
62
20
1
0
0
2,482
880
114
10
4
954
282
42
11
4
940
185
15
2
1
3,675 2,193
256
6
0
1,940
873
126
21
0
3,012 1,547
287
49
15
1,538
646
56
4
1

Geographic information system (GIS) analysis was used to assign the five-minute average wind
speed counts in Table 3.5–3 to individual parcels within the land-use categories listed in Table

2014 Periodic Emissions Inventory for PM10

46

Maricopa County, AZ • September 2016

3.5–1. “Pre-standardized” emissions 1 are then calculated for those windblown dust-producing
parcels using the emission factors in Table 3.5–2, with the exception of parcels in the “Active
agricultural” land-use category (i.e., fields growing crops, neither fallow or abandoned). Windblown dust from active agricultural lands is calculated using a U.S. Department of Agriculture
(USDA) soil erodibility formula (in US EPA, 1974). Annual 2014 harvested acres by crop type
(cf. Section 3.5.2) serve as a surrogate for determining the amount of acres in the active agricultural land-use category within Maricopa County. The USDA formula is applied to the
acreage in each crop type to generate annual 2014 windblown dust emissions. A control factor is
applied to the USDA-generated emissions to account for the benefits of Arizona’s Agricultural
Best Management Practices (AgBMP) program.
To account for the dust-mitigating effects of precipitation, pre-standardized emissions have been
reduced by 6.03% (as there were 22 days of precipitation in 2014 in Maricopa County). Annual
2014 pre-standardized PM10 windblown dust emissions from all applicable land-use categories
are listed in Table 3.5–4 for Maricopa County and the PM10 nonattainment area.
Table 3.5–4. Pre-standardized PM10 emissions from windblown dust in Maricopa County
and the PM10 nonattainment area.
Annual PM10 emissions (tons/yr)
Land-use category
Maricopa County
PM10 nonattainment area
Active agriculture
3,149.4
1,348.6
Inactive agriculture
15,189.0
2,673.7
Commercial
245.8
206.2
Developing
1,866.0
1,512.8
Industrial
290.3
281.5
Public/military
908.7
474.2
Sand & gravel/Mining
1,470.4
1,100.1
Vacant and open areas
523,770.0
51,136.3
Totals:
546,889.5
58,733.3
Pre-standardized windblown dust emission estimates are the product of maximum windblown
dust emission rates. These pre-standardized emissions are based upon wind tunnel-produced
vertical flux emission factors that do not incorporate many of the supply limitations to
windblown dust production that exist in Maricopa County, and thus over-estimate windblown
dust emissions. Correction for this bias in the pre-standardized emissions is accomplished
through a sensitivity analysis that utilizes the percentage of 2014 monitored PM10 concentrations
under high wind conditions to scale pre-standardized emissions. Table 3.5–5 shows the
percentages of 2014 PM10 concentrations associated with five-minute average wind speeds
greater than or equal to 12 mph at the 15 monitors in Maricopa County that simultaneously
record five-minute average wind speed and PM10 concentration.

1
Pre-standardized emissions are windblown dust emissions that have not been adjusted to scale with observed ratios
of PM10 monitoring concentrations under high wind conditions. See Appendix 4 of the 2008 PM10 Periodic
Emissions Inventory (MCAQD, 2011) for an expanded explanation of pre-standardized emissions.

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Maricopa County, AZ • September 2016

Table 3.5–5. Percentages of 2014 PM10 concentrations associated with five-minute average
wind speeds greater than or equal to 12 mph at 15 Maricopa County monitors.
Percent PM10
Sum of 5-min PM10
Sum of all 5concentrations
concentrations when
min PM10
associated with 55-min winds ≥ 12mph concentrations
min winds ≥ 12
3
3
Monitoring Station
(µg/m )
(µg/m )
mph
Buckeye
321,551
4,675,879
6.88%
Central Phoenix
188,488
3,392,297
5.56%
Durango Complex
260,470
4,486,692
5.81%
Dysart
138,957
2,885,002
4.82%
Glendale
178,596
2,927,244
6.10%
Greenwood
146,975
4,691,387
3.13%
Higley
251,271
3,247,617
7.74%
Mesa
114,263
3,235,455
3.53%
South Phoenix
146,575
4,330,091
3.39%
South Scottsdale
121,395
3,330,811
3.64%
Tempe
59,346
3,082,562
1.93%
West 43rd Avenue
349,992
4,887,079
7.16%
West Chandler
239,913
3,170,092
7.57%
West Phoenix
167,712
4,132,270
4.06%
Zuni Hills
226,911
2,243,232
10.12%
All Monitors:
2,912,415
54,717,710
5.32%
Table 3.5–5 shows that as a weighted average of the monitoring stations, about 5% of PM10
concentrations are associated with five-minute average wind speeds greater than or equal to 12
mph. As such, pre-standardized emission estimates are scaled to represent 5% of the total annual
2014 emissions inventory for PM10 for Maricopa County and the nonattainment area. Annual
2014 PM10 emissions from sources other than windblown dust total 54,886.42 tons for Maricopa
County and 33,253.81 tons for the PM10 nonattainment area. After applying this scaling
technique, PM10 emissions from windblown dust for Maricopa County and the nonattainment
area are standardized to 2,888.76 and 1,750.20 tons, respectively. 2
Standardized estimates of annual and daily PM10 and PM2.5 emissions from windblown dust for
Maricopa County and the PM10 nonattainment area are shown in Tables 3.5–6 and 3.5–7. Daily
emissions are obtained by dividing annual emissions by 365, the number of days in calendar year
2014. As per WRAP guidance, PM2.5 emissions are assumed to be 15% of PM10 emissions
(WGA, 2006).

2

(54,886.42 tons ÷ (1 – 5%)) – 54,886.42 = 2,888.76 tons; (33,253.81 ÷ (1 – 5%)) – 33,253.81 = 1,750.20 tons.

2014 Periodic Emissions Inventory for PM10

48

Maricopa County, AZ • September 2016

Table 3.5–6. Annual and daily PM10 and PM2.5 emissions from windblown dust in
Maricopa County (standardized), by land-use category.
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Land-use category
PM10
PM2.5
PM10
PM2.5
Active agriculture
44.4
6.7
243
37
Inactive agriculture
108.9
16.3
597
90
Commercial
6.2
0.9
34
5
Developing
45.9
6.9
252
38
Industrial
8.4
1.3
46
7
Public/military
15.1
2.3
83
12
Sand and gravel/mining
33.7
5.1
184
28
Vacant and open areas
2,626.2
393.9
14,390
2,159
Totals:
2,888.8
433.3
15,829
2,374
Table 3.5–7. Annual and daily PM10 and PM2.5 emissions from windblown dust in the
PM10 nonattainment area (standardized), by land-use category.
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Land-use category
PM10
PM2.5
PM10
PM2.5
Active agriculture
40.2
6.0
220
33
Inactive agriculture
79.7
12.0
437
66
Commercial
6.1
0.9
34
5
Developing
45.1
6.8
247
37
Industrial
8.4
1.3
46
7
Public/military
14.1
2.1
77
12
Sand and gravel/mining
32.8
4.9
180
27
Vacant and open areas
1,523.8
228.6
8,350
1,252
Totals:
1,750.2
262.5
9,590
1,438
3.5.2

Agricultural activities

3.5.2.1 Cotton ginning
Annual emissions from cotton ginning were derived from annual emissions reports from all
permitted cotton gins in the county. Typical daily emissions were calculated based on the
operating schedule data reported by surveyed facilities. Annual and typical daily emissions for
the PM10 nonattainment area were derived based on the location data of the individual facilities.
Table 3.5–8 summarizes annual and typical daily emissions from cotton gins in both Maricopa
County and the PM10 nonattainment area.
Table 3.5–8. Annual and typical daily emissions from area-source cotton ginning.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
26.9
4.0
159
24
PM10 nonattainment area
5.3
0.8
29
4

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Maricopa County, AZ • September 2016

3.5.2.2 Tilling
Tilling emissions for Maricopa County were directly taken from the county-level emission estimates prepared for use in the 2014 National Emissions Inventory (NEI) data and documentation
(U.S. EPA, 2016). U.S. EPA estimated that 4,236.4 tons of PM10 and 847.3 tons of PM2.5 were
emitted from agricultural tillage operations in Maricopa County in 2014. The 2014 NEI used the
number of acres tilled in each county by crop type and tillage type to estimate emissions. These
data were obtained from the 2012 Census of Agriculture developed by the US Department of
Agriculture (USDA, 2014). The 2014 NEI estimated Maricopa County emissions from tilling
operations for the following crop types:
•
•
•
•
•

Barley
Beans
Corn
Cotton
Cover

•
•
•
•
•

Fallow
Fall-Seeded/Winter Wheat
Forage (Hay and Alfalfa)
Hay
Oats

•
•
•
•

Permanent Pasture
Potatoes
Sorghum
Spring Wheat

Annual emissions for the PM10 nonattainment area were calculated by multiplying Maricopa
County PM10 annual emissions by the ratio of agricultural land acreage in the PM10 nonattainment area to the agricultural land acreage in Maricopa County (42.82%). See Section 1.5.2 for a
discussion of the land-use data used for allocating emissions to the PM10 nonattainment area.
Typical daily emissions for Maricopa County and the PM10 nonattainment area were calculated
by dividing the annual emissions by estimated days per year of tillage operation by crop. Data on
the number of days of tillage operations per year were obtained from the 2011 PM10 Periodic
Emissions Inventory (Table 3.5–12) and assuming that tillage activities occur 7 days per week
during the months of tillage operations. Table 3.5–9 presents the annual and typical daily PM10
estimates for Maricopa County and the PM10 nonattainment area.
Table 3.5–9. Annual and typical daily emissions from agricultural tilling operations.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
4,236.4
847.3
62,024
12,405
PM10 nonattainment area
1,814.2
362.8
26,561
5,312
Annual and typical daily PM10 and PM2.5 emissions, by crop type, for Maricopa County and the
PM10 nonattainment area are shown in Tables 3.5–10 and 3.5–11, respectively. The first table
also lists the number of tillage operations per year that were assigned for each crop type. Refer to
Table 3.5–12 of the 2011 Periodic Emissions Inventory for PM10 (MCAQD, 2014) for a
discussion of the tillage operations data used for Maricopa County.

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Table 3.5–10. Annual and typical daily emissions from tilling operations in Maricopa
County, by crop type.
Annual emissions
Typical daily emissions
Allocated tilling
(tons/yr)
(lbs/day)
operations
Crop type
(days/yr)
PM10
PM2.5
PM10
PM2.5
Barley
243
325.8
65.2
2,682
536
Beans
243
14.9
3.0
122
24
Corn
152
30.4
6.1
400
80
Cotton
365
1,034.6
206.9
5,669
1,134
Cover
91
104.4
20.9
2,293
459
Fallow
91
9.6
1.9
211
42
Winter wheat
243
13.6
2.7
112
22
Forage hay/alfalfa
91
965.3
193.1
21,215
4,243
Hay
91
1,081.1
216.2
23,760
4,752
Oats
243
36.2
7.2
297
59
Permanent pasture
91
1.9
0.4
42
8
Potatoes
182
46.3
9.3
509
102
Sorghum
243
14.5
2.9
119
24
Spring wheat
243
558.1
111.6
4,593
919
Totals:
4,236.4
847.3
62,024
12,405
Table 3.5–11. Annual and typical daily emissions from tilling operations in the PM10
nonattainment area, by crop type.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Crop type
PM10
PM2.5
PM10
PM2.5
Barley
139.5
27.9
1,148
230
Beans
6.4
1.3
52
10
Corn
13.0
2.6
171
34
Cotton
443.1
88.6
2,428
486
Cover
44.7
8.9
982
196
Fallow
4.1
0.8
90
18
Winter wheat
5.8
1.2
48
10
Forage hay/alfalfa
413.4
82.7
9,085
1,817
Hay
463.0
92.6
10,175
2,035
Oats
15.5
3.1
127
25
Permanent pasture
0.8
0.2
18
4
Potatoes
19.8
4.0
218
44
Sorghum
6.2
1.2
51
10
Spring wheat
239.0
47.8
1,967
393
Totals:
1,814.2
362.8
26,561
5,312
3.5.2.3 Harvesting
Harvesting emissions for Maricopa County for 2014 were estimated based on growing 2011 data
sing the ratio of agricultural land area within the County and NAA, for each year. Agricultural
land area data was provided by MAG and is shown in Table 3.5−12.

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Table 3.5–12. Maricopa County land area growth, 2011 to 2014.
Acreage within
Acreage within
Maricopa County
PM10 NAA
Agricultural acreage, 2011
276,016
118,568
Agricultural acreage, 2014
267,894
114,722
% change; 2011–2014
–2.94%
–3.24%
Typical daily emissions for both Maricopa County and the nonattainment area were derived by
dividing annual emissions by 365, as activity was assumed to take place 7 days a week. Results
are shown in Table 3.5–13.
Table 3.5–13. Annual and typical daily emissions from harvesting.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
157.2
23.6
3,811
572
PM10 nonattainment area
59.2
8.9
1,442
216
3.5.2.4 Travel on unpaved agricultural roads
Travel on unpaved agricultural roads emissions for Maricopa County were grown from 2011
data using the ratio of agricultural land area within the County and NAA, for each year, as
shown above in Table 3.5–12. Typical daily emissions for both Maricopa County and the PM10
nonattainment area were derived by dividing the annual emissions by 365, as activity was
assumed to take place 7 days a week. Results are shown in Table 3.5–14.
Table 3.5–14. Annual and typical daily emissions from travel on unpaved agricultural
roads.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
1,929.0
192.9
12,365
1,237
PM10 nonattainment area
781.6
78.2
5,010
501
3.5.2.5 Fertilizer application
Annual NH3 emissions from synthetic nitrogen fertilizers for Maricopa County were obtained
from the US Environmental Protection Agency’s 2014 National Emissions Inventory (US EPA,
2012c).
Typical daily NH3 emissions were derived by dividing annual emissions by 365 days/year.
Annual and typical daily emissions for the PM10 nonattainment area were derived by multiplying
the county annual and typical daily emissions by the percentage of agricultural land located in
the PM10 nonattainment (42.82%). See Section 1.5.2 for a discussion of the land-use data used.
Annual and typical daily NH3 emissions from fertilizer application are shown in Table 3.5–15.

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Table 3.5–15. Annual and typical daily ammonia emissions from fertilizer application.
Annual NH3
Typical daily NH3
Geographic area
emissions (tons/yr)
emissions (lbs/day)
Maricopa County
573.6
3,143
PM10 nonattainment area
245.6
1,346
3.5.2.7 Livestock
Annual NH3 emissions from livestock for Maricopa County were derived from the county-level
estimates prepared by US EPA for use in the National Emissions Inventory (NEI) for 2014 (US
EPA, 2016).
Typical daily NH3 emissions were derived by dividing annual emissions by 365 days/year.
Annual and typical daily emissions for the PM10 nonattainment area were derived by multiplying
the county annual and typical daily emissions by the percentage of agricultural land located in
the PM10 nonattainment area (42.82%). See Section 1.5.2 for a discussion of the land-use data
used. Results are shown in Table 3.5–16.
Table 3.5–16. Annual and typical daily emissions from livestock.
Annual NH3
Typical daily NH3
Geographic area
emissions (tons/yr)
emissions (lbs/day)
Maricopa County
8,711.9
47,737
PM10 nonattainment area
3,730.4
20,441
3.5.3

Humans

A literature review by Battye et al. (1994) recommended using a per-capita emission factor
developed for the National Acid Precipitation Assessment Program (NAPAP) inventory in 1985.
This factor was applied to MAG population estimates for the county and PM10 nonattainment
areas. See Section 1.5 for a discussion of the population data used. Typical daily emissions
were calculated by dividing annual values by 365. The resulting estimates are shown in Table
3.5–17.
Table 3.5–17. Annual and typical daily ammonia emissions from human activity.
Annual
Typical daily
Emission factor
emissions
emissions
Geographic area
Population
(lbs/person-yr)
(tons/yr)
(lbs/day)
Maricopa County
4,328,435
0.55
1,190.3
6,522
PM10 NAA
4,341,678
0.55
1,194.0
6,542
3.5.4

Backyard barbeques

Annual emission estimates from backyard barbeques (residential charcoal grilling) activities for
Maricopa County in 2014 were taken directly from the county-level estimates prepared for use in
US EPA’s 2014 National Emissions Inventory (NEI) data and documentation (US EPA, 2016).

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ERG downloaded and reviewed the Temporal Allocation Factor File (TAFF) that is available
with U.S. EPA’s 2011 Air Emissions Modeling Platform (version 6.2). The temporal allocation
data (U.S. EPA, 2015) indicates equal allocation across the year for residential charcoal grilling
source category (SCC 2810025000). Based on this information, ERG calculated typical daily
emissions by dividing the 2014 annual emissions by 365.
Maricopa County emissions were then allocated to the PM10 nonattainment area by multiplying
the county totals with the ratio of total resident population in the PM10 nonattainment area to the
total resident population in Maricopa County (100.23%). Refer to 1.5.1 for a discussion of the
population data used. Table 3.5–18 presents the summary of annual and typical daily emissions
for Maricopa County and the PM10 nonattainment area.
Table 3.5–18. Annual and typical daily emissions from backyard barbeques.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
NOx
PM10
PM2.5
NOx
Maricopa County
197.3
157.8
60.5
1,081
865
332
PM10 nonattainment area
197.7
158.2
60.6
1,083
867
332
3.5.5

Structure fires

Emissions from structure fires in Maricopa County were estimated based on 2011 data, which
were projected to 2014, based on county population growth over the 2011–2014 period (4.81%).
Annual emissions for the PM10 nonattainment area were derived by multiplying annual county
emissions by the percentage of total population within the nonattainment area (100.31%). See
Section 1.5.1 for a discussion of the population data used.
In the absence of sufficient data on the temporal distribution of structure fires in 2014, activity
for this source category was assumed to occur evenly throughout the year. Thus, typical daily
emissions were derived by dividing annual emissions by 365 days/year. The results are shown in
Table 3.5–19 below.
Table 3.5–19. Annual and typical daily emissions from structure fires.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
NOx
PM10
PM2.5
NOx
Maricopa County
15.2
15.2
2.0
83
83
11
PM10 nonattainment area
15.3
15.3
2.0
84
84
11
3.5.6

Aircraft engine testing

Annual emissions from area-source engine testing facilities were derived from annual emissions
reports from permitted sources that were not considered point sources in this inventory. It was
assumed that there were no significant unpermitted sources within Maricopa County. Typical
daily emissions were calculated based on operating schedule information provided in the
facilities’ annual emissions reports.
Since all facilities considered in this section are located within the PM10 nonattainment area, total
emission values for the county and the PM10 NAA are equal. Results are shown in Table 3.5–20.

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Table 3.5–20. Annual and typical daily emissions from engine testing.
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Geographic area
PM10 PM2.5 NOx
SOx
PM10 PM2.5 NOx
SOx
Maricopa County
2.5
2.4
45.5
8.7
14
14
260
48
PM10 nonattainment area
2.5
2.4
45.5
8.7
14
14
260
48
3.5.7

Vehicle fires

Emissions from vehicle fires in Maricopa County were estimated based on 2011 data, which
were grown to 2014 based on county population growth over the 2011–2014 period (4.81%).
Annual emissions for the PM10 nonattainment area were derived by multiplying annual county
emissions by the percentage of total population within the nonattainment area (100.85%). See
Section 1.5.1 for a discussion of the population data used.
It was assumed that vehicle fires occur evenly throughout the year. Thus, typical daily emissions
were derived by dividing the Maricopa County and nonattainment area annual emissions by 365
days/year. The results are shown in Table 3.5–21 below.
Table 3.5–21. Annual and typical daily emissions from vehicle fires.
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
NOx
PM10
PM2.5
NOx
Maricopa County
33.0
33.0
1.3
181
181
7
PM10 nonattainment area
33.1
33.1
1.3
181
181
7
3.5.8

Crematories

Annual and typical-day emissions from human and animal crematories were derived from annual
emissions reports submitted by permitted sources. It was assumed that there were no significant
unpermitted sources within Maricopa County. There were no point sources in this category.
Typical daily emissions were calculated using reported activity data from each facility (days per
week and weeks per year in operation) for each individual process, and then summed. Emissions
within the PM10 nonattainment area were identified using information on the location of each
permitted facility. (Only one small facility was located outside of the PM10 nonattainment area.)
Table 3.5–22 summarizes annual emissions from crematories in both Maricopa County and the
nonattainment area, while typical daily emissions for both areas are presented in Table 3.5–23.
Table 3.5–22. Annual emissions (tons/yr) from human and animal crematories.
Maricopa County
PM10 nonattainment area
Crematory
type
PM10
PM2.5
NOx
SOx
PM10
PM2.5
NOx
SOx
Human
5.5
3.3
10.7
1.4
5.5
3.3
10.7
1.4
Animal
2.7
1.6
5.6
0.7
2.7
1.6
5.6
0.7
Totals:
8.3
5.0
16.4
2.1
8.3
5.0
16.4
2.1

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Maricopa County, AZ • September 2016

Table 3.5–23. Typical daily emissions (lbs/day) from human and animal crematories.
Maricopa County
PM10 nonattainment area
Crematory
type
PM10
PM2.5
NOx
SOx
PM10
PM2.5
NOx
SOx
Human
40
24
77
10
39
24
76
10
Animal
24
14
49
6
24
14
48
6
Totals:
63
38
126
16
63
38
125
16
3.5.8

Accidental releases

As part of its air quality permit compliance program, MCAQD keeps an “upset log” for each
calendar year that records excess emissions and accidental releases at permitted facilities.
Annual emissions inventory reports also provide for recording of accidental releases. Data from
these two sources were reviewed to estimate emissions from all accidental releases reported in
2014. Results are shown in Table 3.5–24.
Table 3.5–24. Annual and typical daily emissions from accidental releases.
Annual NOx
Typical daily NOx
Geographic area
emissions (tons/yr)
emissions (lbs/day)
Maricopa County
0.2
0
PM10 nonattainment area
0.2
0
3.5.9

Wildfires

Data on the incidence of wildfires in Maricopa County in 2014 were obtained from the Arizona
State Forestry Division (ASFD, 2015). ASFD provides for the prevention and suppression of
wildfires on state trust land and private lands located outside of incorporated communities. The
wildfire data provided includes wildfires that occur outside of local fire districts and municipalities on State, private, and U.S. Bureau of Land Management (BLM) land. The ASFD
supplied data on 1,299 reported wildfire incidents in Maricopa County, encompassing 146 acres.
In supplying this data, the Forestry Division noted a significant increase in the number of fires
reported compared with prior years, due to a new State Forestry requirement that the local
government fire departments and districts now report their fires to State Forestry.
In addition, data from Incident Status Summary reports (ICS-209) on the US Forest Service’s
website Monitoring Trends in Burn Severity (MTBS) website (USFS, 2016) were reviewed in
order to identify any additional wildfires that may have occurred outside of ASFD jurisdiction.
No additional wildfires within the area of interest were identified.
Estimates of the material burned were derived by multiplying the acres burned for each category
by an assigned fuel loading factor. Since there was insufficient information concerning the landuse or vegetation types for each reported fire, a fuel loading factor of 4.5 tons/acre (reflecting
e.g., “agriculture” or “sagebrush” categories), was used as a conservative estimate.
Latitude and longitude data were used to determine the number of acres burned inside of the
nonattainment area. Table 3.5–25 shows the number of wildfires and acreage burned for
Maricopa County and the PM10 nonattainment area, as well as the estimated total material
burned.
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Table 3.5–25. Wildfire incidence, acreage burned, and material burned in 2014.
No. of Acreage
Fuel loading
Material burned
Geographic area
fires
burned factor (tons/acre)
(tons/yr)
Maricopa County
1,299
145.8
4.5
656.1
PM10 nonattainment area
1,239
126.7
4.5
570.1
Annual emissions from wildfires for each geographic area were calculated by multiplying the
material burned for each area by the emission factors obtained from the Western Regional Air
Partnership's (WRAP) 2002 Fire Emissions Inventory (WGA/WRAP, 2005). Typical daily
emissions were estimated by multiplying the total material burned during the year by the
appropriate emission factor, and dividing the result by the number of separate days on which
wildfire activity was reported (313 days in 2014). Table 3.5–26 shows annual and typical daily
emissions from wildfires in Maricopa County and the PM10 nonattainment area.
Table 3.5–26. Annual and typical daily emissions from wildfires.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx SOx NH3 PM10 PM2.5 NOx SOx NH3
Maricopa Co.
9.2
7.9
2.0
0.6
0.4
59
51
13
4
3
PM10 NAA
8.0
6.9
1.8
0.5
0.4
51
44
11
3
2
3.5.10 Prescribed fires
Emissions from prescribed fires were estimated using data obtained from the Arizona Department of Environmental Quality (ADEQ, 2015), which reported that a total of six (6) prescribed
fires occurred in Maricopa County during 2014. Because all prescribed fires were piled fuels,
material burned was derived by multiplying the number of acres burned by tons of piles per acre
for each fire. Table 3.5–27 shows the data provided by the ADEQ, the amount of material
burned for each fire, and whether the fire occurred within the PM10 nonattainment area.
Table 3.5–27. Prescribed fire activity in Maricopa County in 2014.
Acres
Material
Date
Burn location Tons/acre
burned
burned (tons)
02/27/2014 T3N,R8E,S33
1
5
5
03/03/2014 T3N,R11E,S2
2
3
6
03/14/2014 T3N,R8E,S33
1
10
10
07/21/2014 T2N,R9E,S4
1
10
10
09/02/2014 T6N,R10E,S10
2
4
8
10/01/2014 T3N,R11E,S2
2
5
10
Totals:
37
49

Within PM10
NAA?
No
No
No
No
Yes
No

To estimate emissions, emission factors for “piled fuels” from the Western Regional Air
Partnership’s (WRAP) 2002 Fire Emissions Inventory (WGA/WRAP, 2005) were used. It was
assumed that each prescribed fire lasted one day, thus annual emissions were divided by the
number of prescribed fires (6), to derive an estimate of typical daily emissions. Table 3.5–28
shows the annual and typical daily emissions from prescribed fires.

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Table 3.5–28. Annual and typical daily emissions from prescribed fires.
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 0.2
0.2
0.2
0.0
0.0
65
65
51
14
4
PM10 NAA
0.0
0.0
0.0
0.0
0.0
11
11
8
2
1
3.5.11 Unpaved parking lots fugitive dust
Fugitive dust emissions from vehicles traveling on unpaved parking lots were developed by
MAG based on land area devoted to unpaved parking lots, vehicle activity on unpaved parking
lots, and emission rates from AP-42 (EPA, 2006). The methodology, assumptions and
calculations involved in estimating fugitive dust from vehicles traveling on unpaved parking lots
are described in this section.
The vehicle miles traveled on unpaved parking lots in the PM10 nonattainment area were derived
using assumptions from the Phase I windblown dust modeling for the Western Regional Air
Partnership (ENVIRON, 2004). This study estimated that eight percent of the vacant land in
core urban areas is disturbed and thirty percent of the land under development is disturbed. For
the 2014 periodic emissions inventory, the core urban area is defined as the carbon monoxide
maintenance area. GIS was applied to 2014 MAG land-use data to estimate that there are
167,836 acres of vacant land in the core urbanized area and 16,530 acres of land under residential and non-residential development in the PM10 NAA. Multiplying the vacant disturbed
percentages by these land areas produces:
167,836 acres x 0.08 = 13,427 acres of vacant disturbed land in the urbanized core
16,530 acres x 0.30 = 4,959 acres of vacant disturbed land under development in the PM10 NAA

Summing the vacant disturbed acres in the urbanized core and areas under development produces
a total of 18,386 acres of vacant disturbed land in the PM10 NAA. In estimating fugitive dust
emissions from unpaved parking lots, the MAG Serious Area PM10 Plan assumed that 24 percent
of the disturbed vacant non-agricultural land is devoted to unpaved parking areas (MAG, 2000).
Applying this percentage to the acres of vacant disturbed land results in 4,413 acres of unpaved
parking lots in the PM10 NAA.
The MAG Serious Area PM10 Plan also assumed that the average size of an unpaved parking lot
is 625 square meters (i.e., 0.154 acres), an average of ten vehicles travel on each lot per day, and
each vehicle travels an average distance of 0.031 miles on a lot. Multiplying 10 vehicles per day
times 0.031 miles per vehicle and dividing by 0.154 acres produces 2.0 vehicle miles of travel
(VMT) per acre per day. Multiplying 2.0 VMT per acre per day by 4,413 acres yields 8,826
VMT per day on unpaved parking lots in the PM10 NAA.
The emission factors for unpaved parking lots were derived from the AP-42 equation for
unpaved industrial roads (EPA, 2006); assuming a silt content of 11.9 percent, an average
vehicle weight of 2.74 tons in the PM10 NAA (derived from 2014 vehicle registration data), and
accounting for days of the year in 2014 with precipitation of at least 0.01 inches (22). The
resultant AP-42 emission factors are 1.3431 pounds per mile for PM10 and 0.1343 pounds per
mile for PM2.5.

2014 Periodic Emissions Inventory for PM10

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Maricopa County, AZ • September 2016

These AP-42 emission factors were applied to the unpaved parking lot VMT of 8,826 to obtain
PM10 emissions of 11,854.2 pounds per day and PM2.5 emissions of 1,185.3 pounds per day. The
pounds per day were converted to annual emissions, assuming 365 days in 2014, to obtain values
of 2,163.39 tons per year of PM10 and 216.32 tons per year of PM2.5.
To estimate emissions for Maricopa County, GIS was applied to 2014 MAG land-use data to
obtain 2,053,015 acres of vacant land in Maricopa County. Removing the vacant land in the
Maricopa County portion of the PM10 NAA (i.e., 403,288 acres) results in 1,649,727 vacant acres
located inside Maricopa County, but outside the PM10 NAA.
Assuming one percent of the vacant land outside the PM10 NAA is disturbed (Clark County,
2006) and 24 percent of the disturbed vacant land is unpaved parking areas (MAG, 2000), results
in 3,959 acres of unpaved parking areas inside Maricopa County, but outside the PM10 NAA.
Multiplying by 2.0 VMT per acre per day results in 7,918 VMT per day. Applying the AP-42
emission rates produces the unpaved parking lot emissions inside Maricopa County, but outside
the PM10 NAA of 10,634.7 pounds per day of PM10 and 1,063.4 pounds per day of PM2.5.
The final step in estimating Maricopa County emissions requires removing the Pinal County
portion of the PM10 NAA. The unpaved parking lot emissions in the Pinal County portion of the
PM10 NAA are assumed to be proportional to the acres of vacant land. These were derived using
GIS and 2014 MAG land-use data, with the results shown below:
Vacant land in the Pinal County portion of the PM10 NAA = 6,278 acres
Vacant land in the PM10 NAA = 409,566 acres
Ratio = 6,278/409,566 = 1.53%; Pinal County portion = 1.53% x PM10 NAA emissions
Pinal County portion of PM10 emissions = 1.53% x 11,854.2 = 181.4 pounds per day
Pinal County portion of PM2.5 emissions = 1.53% x 1,185.3 = 18.1 pounds per day

Adding the emissions inside and outside the PM10 NAA and subtracting the Pinal County portion
produces total Maricopa County emissions attributable to vehicles traveling on unpaved parking
lots in pounds per day. Pounds per day are converted to tons per year, assuming 365 days in
2014. The resultant 2014 emissions for Maricopa County and the PM10 NAA are shown in Table
3.5–29.

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Maricopa County, AZ • September 2016

Table 3.5–29. Annual and typical daily emissions from vehicles traveling on unpaved
parking lots.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
4,071.1
407.1
22,308
2,231
PM10 nonattainment area
2,163.4
216.3
11,854
1,185
3.5.12 Leaf blower fugitive dust
Fugitive dust emissions from leaf blowers are the result of blowing loose material from the area
being cleared by the leaf blowers. Exhaust emissions from gasoline-powered leaf blowers are
covered under the Nonroad Mobile Sources section of this report (Chapter 4). Fugitive dust
emission estimates are developed with the use of three sources: EPA’s NONROAD model,
California Air Resources Board report to the state legislature on leaf blowers (CARB, 2000), and
a recent research effort done by the University of Riverside (Fitz et al., 2005).
EPA’s 2011NONROAD model was used to estimate the number of gasoline-powered leaf
blowers in Maricopa County (n = 122,089), along with the average activity figures for those leaf
blowers. Total leaf blower population estimates were derived from CARB (2000), which
estimated that 60% of all leaf blowers sold are electric. Thus assuming the remaining 40% are
gasoline-powered.
Fitz et al. (2005) developed emission factors for PM10 and PM2.5 fugitive dust emissions from
leaf blowers. For this report, the most conservative (highest) emission factors were chosen to
estimate emissions. Given these two data sources, Table 3.5–30 lists the equipment population
numbers, activity estimates and emission factors for leaf blowers in Maricopa County.
Table 3.5–30. Leaf blower equipment populations, activity levels and emission factors for
Maricopa County.
Annual
PM10 emisPM2.5 emisactivity
sion factor
sion factor
Leaf blower description
Population
(hrs/yr)
(mg/m2)
(mg/m2)
Commercial 2-stroke gasoline
3,719
626
70
30
Commercial 4-stroke gasoline
1,823
626
70
30
Residential 2-stroke gasoline
110,788
10
70
30
Residential 4-stroke gasoline
5,759
10
70
30
Electric
183,134
10
130
40
305,223
n/a
n/a
n/a
Total:
CARB (2000) estimates that approximately 1600m2 of surface can be cleared in one hour of leaf
blower operation. Therefore, annual emission estimates were calculated by using the following
formula, as in the following example for electric leaf blowers:

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Maricopa County, AZ • September 2016

Annual PM10 emissions
= population × activity
from electric leaf blowers
(hrs/yr)
= 183,134

× 10 hrs/yr

× emission factor
(mg/m2)

× area covered
(m2/hr)

× 130 mg/m2

× 1600 m2/hr

= 380,918,720,000 mg/yr
= 419.52 tons PM10/yr

The activity hours associated with leaf blowers can occur at any time during the year in Maricopa County due to the temperate climate, with no substantial seasonal variation. Therefore,
typical daily emissions were estimated by dividing annual totals by 365 days per year. Emissions for the PM10 nonattainment area are allocated based on the ratio of population in the
County to the nonattainment area. See Section 1.5 for a discussion on the population data used.
Table 3.5–31 lists annual and typical daily fugitive emissions from leaf blowers for Maricopa
County and the PM10 nonattainment area.
Table 3.5–31. Annual and typical daily emissions from leaf blower fugitive dust.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
991.2
374.1
5,431
2,050
PM10 nonattainment area
994.2
375.2
5,448
2,056
3.5.13 Offroad recreation vehicles fugitive dust
The MOVES2014a model estimates exhaust emissions for offroad recreational vehicles. These
emissions are included in the nonroad emissions category of the 2014 particulate emissions
inventory. Particulate emissions are also generated by recreational vehicles traveling on unpaved
surfaces. For the 2014 periodic inventory, these emissions were estimated by MAG using
mileage and activity data for offroad recreational vehicles in Maricopa County from the
MOVES2014a model. The methodology and assumptions for calculating fugitive dust emissions
from offroad recreational vehicles traveling are described in this section.
The MOVES2014a model provides annual mileage and number of vehicles by county for all
terrain vehicles (ATVs) and offroad motorcycles (ORMs). The MOVES2014a model also
provides annual operating hours and number of vehicles by county for specialty vehicles/carts
(SVCs). To convert operating hours to mileage, it was assumed that SVCs travel at an average
speed of 10 miles per hour. This is consistent with the speed that vehicles travel on unpaved
alleys in Maricopa County (See Section 5.3.2). The annual mileage and number of vehicles by
type for Maricopa County in 2014 are shown in Table 3.5–32.
To be consistent with the 2011 Periodic Emissions Inventory for PM10 (MCAQD, 2014), it was
assumed that 75 percent of the annual travel by offroad recreational vehicles occurs on unpaved
surfaces inside Maricopa County, with the remaining 25 percent occurring on paved surfaces
within Maricopa County and paved and unpaved surfaces outside of Maricopa County. The
product of the mileage, number of vehicles, and 75 percent produces the annual vehicle miles of
travel (VMT) on unpaved surfaces, shown in Table 3.5–32. Dividing the annual VMT by 365
results in the 2014 daily offroad recreational vehicle travel on unpaved surfaces in Maricopa
County.

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Maricopa County, AZ • September 2016

Table 3.5–32. Offroad recreational vehicle travel on unpaved surfaces in Maricopa County.
2014 VMT
Annual
Number of
Vehicle Type
Mileage
Vehicles
Annual
Daily
ATV
1,608
38,261
46,142,766
126,419
ORM
1,600
8,971
10,765,200
29,494
SVC (Non-Diesel)
650
1,794
874,575
2,396
SVC (Diesel)
4,350
172
561,150
1,537
The VMTs above were multiplied by emission factors for unpaved industrial roads from AP-42
(EPA, 2006), assuming a silt content of 11.9 percent, an average vehicle weight of one-half of a
ton, and accounting for days of the year in 2014 with precipitation of at least 0.01 inches (22).
The resultant PM10 emission factor for ATVs and SVCs is 0.6247 pounds per vehicle mile
traveled. This emission factor was reduced by 50 percent for ORMs (i.e., 0.3123 pounds per
mile) to account for two wheels generating dust instead of four. Applying the AP-42 equation
results in a PM2.5 emission factor for ATVs and SVCs of 0.0625 pounds per mile, while the
comparable PM2.5 emission factor for ORMs is 0.0312 pounds per mile.
The AP-42 emission rates were multiplied by the annual and daily VMTs in Table 3.5–35 to
obtain Maricopa County fugitive dust emissions in pounds per day and tons per year. The results
are shown in Table 3.5–36.
The emissions for the PM10 nonattainment area were derived by applying geographic information
systems (GIS) to MAG 2014 land-use data to obtain the acreage of vacant and passive open
space in the PM10 nonattainment area and Maricopa County. Passive open space includes open
desert, mountains, and washes. The detailed calculations for deriving the PM10 nonattainment
area emissions are shown below.
Vacant and passive open space in the PM10 nonattainment area (NAA) = 829,895 acres
Vacant and passive open space in Maricopa County = 4,655,379 acres
Ratio of vacant and passive open space in PM10 NAA to Maricopa County = 17.83%
PM10 NAA Emissions = 0.1783 × Maricopa County emissions

Application of the ratio above to Maricopa County emissions produces the annual and typical
daily emissions for the PM10 nonattainment area shown in Table 3.5–33. The PM10 and PM2.5
emissions for all offroad recreational vehicle types (i.e., ATVs, ORMs and SVCs) are summed in
this table.
Table 3.5–33. Annual and typical daily emissions from offroad recreational vehicles.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
16,542.1
1,654.8
90,642
9,067
PM10 nonattainment area
2,949.5
295.0
16,161
1,617

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Maricopa County, AZ • September 2016

3.7

Quality assurance/quality control procedures

Quality assurance and quality control (QA/QC) activities for the area source emissions inventory
were designed to create a comprehensive, accurate, representative and comparable inventory of
area source emissions for Maricopa County and the nonattainment area. During each step of
creating, building and reviewing the area source emissions inventory, quality checks and
assurances were performed to establish confidence in the inventory structure and data.
Area source categories were identified for inclusion in the inventory based on the latest Emission
Inventory Improvement Program (EIIP) guidance available. In addition, recent EPA activities to
develop county-level emissions estimates for newly created source categories (such as portable
fuel containers) or redefined Source Classification Codes were also reviewed, and incorporated
where relevant. Prior-year inventories for the region were also examined to identify possible
additional categories for inclusion in the present inventory. The list of area source categories
developed based on these guidance documents was modified to fit the characteristics of
Maricopa County, with some area source categories determined to be insignificant or nonexistent(such as industrial coal combustion, oil and gas production, and snowmobile use).
Data for area source emission calculations were gathered from a wide universe of resources.
Whenever applicable, local surveyed data (such as annual emissions report) was used as this data
best reflects activity in the county and the nonattainment area. When local data was not
available, state data from state agencies (such as the Arizona Department of Transportation, or
Arizona Department of Weights and Measures) and regional bodies (such as the Western
Regional Air Partnership, WRAP) were used. National-level data (such as those from the US
Census Bureau) was used when no local, state or regional data was available. In addition, the
most recent EIIP guidance for area sources was consulted for direction in determining the most
relevant data source for use in emissions calculations.
Emissions calculations for area sources were performed by three air quality planners and one unit
manager. All area source emission estimates were calculated in spreadsheets to ensure the
calculations could be verified and reproduced. Whenever possible or available, the “preferred
method” described in the most recent EIIP guidance documents for area sources was used to
calculate emissions. Emissions were estimated using emission factors from EIIP guidance, AP42, and local source testing. Local seasonal and activity data were used when available, with
EPA and EIIP guidance used when no local seasonal or activity data existed. All calculations
were evaluated to ensure that emissions from point sources were not being double-counted and to
determine if rule effectiveness applied.
Once area source emission estimates had been produced, several quality control checks were
performed to substantiate the calculations. Most area source calculations were peer-reviewed by
two other planners, with all area sources being reviewed by at least one other planner. Peer
review ensured that all emission calculations were reasonable and could be reproduced.
Sensitivity analyses and computational method checks were performed on area sources when
emissions seemed to be outside the expected ranges. When errors were found, the appropriate
changes were made by the author of the calculations to ensure consistency of the emissions
calculations. The peer-reviewed emissions estimates were combined into a draft area source
chapter. This draft chapter was read through in its entirety by the unit manager and the three air
quality planners for final review, with any identified errors corrected by the author of the section.

2014 Periodic Emissions Inventory for PM10

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Maricopa County, AZ • September 2016

The draft version of the area source chapter was sent to the Arizona Department of Environmental Quality, the Arizona Department of Transportation, and the Maricopa Association of
Governments for a quality assurance review. These agencies provided comments which were
addressed and incorporated into the final area source chapter. The QA/QC activities described
here have produced high levels of confidence in the area source emissions estimates detailed in
this chapter, and represent the best efforts of the inventory preparers.

2014 Periodic Emissions Inventory for PM10

64

Maricopa County, AZ • September 2016

3.6

Summary of all area sources

Tables 3.6–1 and 3.6–2 summarize annual and typical daily emissions from all area sources
addressed in this chapter, for both Maricopa County and the PM10 nonattainment area,
respectively.
Table 3.6–1. Annual and typical daily emissions from all area sources in Maricopa
County.
Source Category
Fuel combustion:
Industrial distillate oil:
–boilers
–engines
Industrial natural gas
Industrial LPG
Comm./inst. distillate oil:
–boilers
–engines
Comm./inst. natural gas
Residential distillate oil
Residential natural gas
Residential LPG
Residential wood combustion
All Fuel Combustion:
Industrial processes:
Chemical manufacturing
Commercial cooking
Grain handling/processing
Ammonia cold storage
Secondary metal production
Nonmetallic mineral products
Mining/quarrying
Wood product manufacturing
Rubber/plastic product mfg.
Fabricated metals
Residential construction
Commercial construction
Road construction
Construction, other
Electrical equipment mfg.
Industrial paved/unpaved road
travel
Industrial processes, NEC
All Industrial Processes:
All Waste Treatment/ Disposal:
On-site incineration
Open burning
Landfills
Publicly owned treatment works
Other waste
All Waste Treatment/ Disposal

Annual emissions (tons/yr)

PM10

PM2.5

11.0
139.3
4.0
0.2

NOx

SOx

NH3

7.4
96.1
130.7 1,934.4
3.2
740.1
0.1
52.1

34.1
22.5
4.4
0.2

3.8
2.6
23.7
1.1

0.3
0.3
2.8
0.3
0.3
4.4
5.9
4.8 1,126.8
0.0
0.0
0.3
62.8
62.8
777.0
0.2
0.1
41.5
1,251.0 1,248.7
156.3
1,475.1 1,458.6 4,931.9

0.1
0.0
6.8
0.8
5.0
0.2
21.1
95.2

0.1
0.0
5.5
0.0

108.5
65.5
1,739.2 1,612.8
178.2
19.0
53.6
43.4
66.8
24.3
95.8
14.0
1,318.0
3,619.4
1,247.0
128.3
26.0

39.8
18.2
14.9
23.1
80.2
12.9
131.8
361.9
124.7
12.8
18.5

205.0
87.3
245.7 112.0
9,113.1 2,7354

PM2.5

NOx

SOx

48
838
20
1

616
12,400
4,744
334

219
144
28
1

25
16
152
7

2
2
38
0
344
0.1
1
64.5 11,802
101.4 13,181

2
2
31
0
344
1
11,780
13,068

18
28
7,223
3
7223
391
1,475
31,491

1
0
43
8
27
2
199
672

1
0
35
0
1
608
846

1,172
9,530
1,037

654
8,837
1,033
306
134
102
172
614
92
845
2,320
799
82
102

488

282

12,649
3

135

3

79

1,973.3
0.5

30.6

24.3

0.6

411
325
464
180
702
100
8,448
23,201
7,993
822
14.3
144

452.2
531.6

7.9
39.0

1,476
7.6 1,387
1,995.7 57,392

587
631
17,311

2,478
3,102

4
234
377

2
234
365

19
62
54

36

161
776

75
677

113
249

282
324

0.4
30.4
65.5

3.0
8.1
9.9

0.9

23.0
121.5

11.1
107.4

20.6
41.5

51.4
58.9

65

6.6

NH3

71
893
26
1

55.1

0.6
30.4
67.5

2014 Periodic Emissions Inventory for PM10

Typical daily emissions (lbs/day)

PM10

11.7
11.7

43
44
329 12,775
6

Maricopa County, AZ • September 2016

64
64

Table 3.6–1 (continued). Annual and typical daily emissions from all area sources in
Maricopa County.

Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Source category
PM10
PM2.5
NOx
SOx
NH3
PM10
PM2.5 NOx
SOx
NH3
Misc. area sources:
Windblown dust
2,888.8 433.3
15,829 2,374
Cotton ginning
26.9
4.0
159
24
Tilling
4,236.4 847.3
62,024 12,405
Harvesting
157.2
23.6
3,811
572
Travel on unpaved ag. roads
1,929.0 192.9
12,365 1,237
Fertilizer application
573.6
3,143
Livestock
8,711.9
47,737
Humans
1,190.3
6,522
Backyard barbeques
197.3 157.8
60.5
1,081
865
332
Structure fires
15.2
15.2
2.0
83
83
11
Aircraft engine testing
2.5
2.4
45.5
8.7
14
14
260
48
Vehicle fires
33.0
33.0
1.3
181
181
7
Crematories, human
5.5
3.3
10.7
1.4
40
24
77
10
Crematories, animal
2.7
1.6
5.6
0.7
24
14
49
6
Accidental releases
0.2
0
Wildfires
9.2
7.9
2.0
0.6
0.4
59
51
13
4
3
Prescribed fires
0.2
0.2
0.2
0.0
0.0
65
65
51
14
4
Travel on unpaved parking lots
4,071.1 407.1
22,308 2,231
Leaf blowers fugitive dust
991.2 374.1
5,431 2,050
Offroad rec vehicle fugitive dust 16,542.1 1,654.8
90,642 9,067
All Misc. Area Sources
31,108.2 4,158.5 128.1 11.4 10,476.2 214,115 31,255
800
82 57,409
TOTAL, ALL AREA
SOURCES
41,817.9 8,459.9 5,633.2 204.5 12,585.1 285,464 62,311 35,641
1,407 71,094

2014 Periodic Emissions Inventory for PM10

66

Maricopa County, AZ • September 2016

Table 3.6–2. Annual and typical daily emissions from all area sources in the PM10
nonattainment area.
Source category
Fuel combustion:
Industrial distillate oil: boilers
Industrial distillate oil: engines
Industrial natural gas
Industrial LPG
Comm./inst. diesel oil: boilers
Comm./inst. diesel oil: engines
Comm./inst. natural gas
Residential distillate oil
Residential natural gas
Residential LPG
Residential wood combustion
All Fuel Combustion
Industrial processes:
Chemical manufacturing
Commercial cooking
Grain handling/processing
Ammonia cold storage
Secondary metal production
Mineral processes
Mining/quarrying
Wood product manufacturing
Rubber/plastic product mfg.
Fabricated metals
Residential construction
Commercial construction
Road construction
Construction, other
Electrical equipment mfg.
Indust. paved/unpaved rd travel
Industrial processes, NEC
All Industrial Processes:
Waste treatment/disposal:
On-site incineration
Open burning
Landfills
Publicly owned treatment works
Other waste
All Waste Treatment/ Disposal

PM10

Annual emissions (tons/yr)
PM2.5
NOx
SOx

11.0
7.4
95.7
138.8 130.2 1,927.4
4.0
3.2 737.5
0.2
0.1
51.9
0.3
0.3
2.8
0.3
0.3
4.4
5.8
4.8 1,123.3
0.0
0.0
0.3
63.0
63.0 778.8
0.2
0.1
41.5
1,253.9 1,251.6 156.7
1,477.5 1,461.1 4,920.5

34.0
22.4
4.4
0.2
0.1
0.0
6.7
0.8
5.0
0.2
21.2
95.0

108.1
65.3
1,743.1 1,616.4
177.6
18.9
53.6
39.8
43.4
18.2
53.7
11.5
24.2
23.0
95.5
79.9
13.9
12.9
1,233.6 123.4
2,858.3 285.8
926.4
92.6
123.8
12.4
26.0
18.5
131.8
29.4
159.9
55.7
7,772.9 2,503.8

3.8
2.6
23.6
1.1
0.1
0.0
5.5
0.0
0.1
64.6
101.5

55.1

30.6

1,966.2
0.5

24.3

0.6

14.3

449.7
529.1

7.7
4.8
38.9 1,985.8

0.6
9.9
46.8

0.4
9.9
45.5

2.9
2.6
5.2

0.9

12.4

9.5

20.5

50.5

69.7

68.3

31.3

54.6

2014 Periodic Emissions Inventory for PM10

NH3

3.2

67

11.7
11.7

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
NH3
71
890
26
1
2
2
37
0
345
1
11,829
13,205

48
835
20
1
2
2
31
0
345
1
11,807
13,092

614
12,355
4,727
333
18
28
7,201
3
4,267
392
1,478
31,417

218
144
28
1
1
0
43
8
27
2
200
671

1,168
9,551
135

652
8,857
134

411
325
371
179
699
99
7,908
18,322
5,939
793
144
1,000
915
47,961

306
134
78
171
612
92
791
1,832
594
79
102
215
322
14,972

2,464
3,088

4
76
260

2
76
253

19
20
29

17

81

62

113

277

421

394

181

301

25
16
151
7
1
0
35
0

488

282

12,604
3

135

3

79

1
609
846

42
28
328 12,714

6

Maricopa County, AZ • September 2016

64
64

Table 3.6–2. Annual and typical daily emissions from all area sources in the PM10 NAA (contd).

Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Source Category
PM10
PM2.5 NOx
SOx
NH3
PM10
PM2.5
NOx
SOx
NH3
Misc. area sources:
Windblown dust
1,750.2 262.5
9,590
1,439
Cotton ginning
5.3
0.8
29
4
Tilling
1,814.2 362.8
26,561
5,312
Harvesting
59.2
8.9
1,442
216
Travel on unpaved ag. roads
780.7
78.1
5,010
501
Fertilizer application
245.6
1,346
Livestock
3,730.4
20,441
Humans
1,194.0
6,542
Backyard barbeques
197.7 158.2
60.6
1,083
867
332
Structure fires
15.3
15.3
2.0
84
84
11
Aircraft engine testing
2.5
2.4
45.5
8.7
14
14
260
48
Vehicle fires
33.1
33.1
1.3
181
181
7
Crematories, human
5.5
3.3
10.7
1.4
39
24
76
10
Crematories, animal
2.7
1.6
5.6
0.7
24
14
48
6
Accidental releases
0.2
0
Wildfires
8.0
6.9
1.8
0.5
0.4
51
44
11
3
2
Prescribed fires
0.0
0.0
0.0
0.0
0.0
11
11
8
2
1
Travel on unpaved parking lots
2,163.4 216.3
11,854
1,185
Leaf blowers fugitive dust
994.2 375.2
5,448
2,056
Offroad rec vehicle fugitive dust 2,949.5 295.0
16,161
1,617
10,782.5 1,820.6 127.9 11.3 5,170.4 77,583 13,568
754
69 28,332
All Misc. Area Sources:
TOTAL, ALL AREA
SOURCES
20,102.7 5,853.8 5,608.8 199.7 7,269.4 139,170 42,027 35,440 1,369 41,957

3.7

Quality assurance/quality control procedures

Quality assurance and quality control (QA/QC) activities for the area source emissions inventory
were designed to create a comprehensive, accurate, representative and comparable inventory of
area source emissions for Maricopa County and the nonattainment area. During each step of
creating, building and reviewing the area source emissions inventory, quality checks and
assurances were performed to establish confidence in the inventory structure and data.
Area source categories were identified for inclusion in the inventory based on the latest Emission
Inventory Improvement Program (EIIP) guidance available. In addition, recent EPA activities to
develop county-level emissions estimates for newly created source categories (such as portable
fuel containers) or redefined Source Classification Codes were also reviewed, and incorporated
where relevant. Prior-year inventories for the region were also examined to identify possible
additional categories for inclusion in the present inventory. The list of area source categories
developed based on these guidance documents was modified to fit the characteristics of
Maricopa County, with some area source categories determined to be insignificant or nonexistent(such as industrial coal combustion, oil and gas production, and snowmobile use).
Data for area source emission calculations were gathered from a wide universe of resources.
Whenever applicable, local surveyed data (such as annual emissions report) was used as this data
best reflects activity in the county and the nonattainment area. When local data was not
available, state data from state agencies (such as the Arizona Department of Transportation, or
Arizona Department of Weights and Measures) and regional bodies (such as the Western
Regional Air Partnership, WRAP) were used. National-level data (such as those from the US
Census Bureau) was used when no local, state or regional data was available. In addition, the
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most recent EIIP guidance for area sources was consulted for direction in determining the most
relevant data source for use in emissions calculations.
Emissions calculations for area sources were performed by three air quality planners and one unit
manager. All area source emission estimates were calculated in spreadsheets to ensure the
calculations could be verified and reproduced. Whenever possible or available, the “preferred
method” described in the most recent EIIP guidance documents for area sources was used to
calculate emissions. Emissions were estimated using emission factors from EIIP guidance,
AP-42, and local source testing. Local seasonal and activity data were used when available, with
EPA and EIIP guidance used when no local seasonal or activity data existed. All calculations
were evaluated to ensure that emissions from point sources were not being double-counted and to
determine if rule effectiveness applied.
Once area source emission estimates had been produced, several quality control checks were
performed to substantiate the calculations. Most area source calculations were peer-reviewed by
two other planners, with all area sources being reviewed by at least one other planner. Peer
review ensured that all emission calculations were reasonable and could be reproduced.
Sensitivity analyses and computational method checks were performed on area sources when
emissions seemed to be outside the expected ranges. When errors were found, the appropriate
changes were made by the author of the calculations to ensure consistency of the emissions
calculations. The peer-reviewed emissions estimates were combined into a draft area source
chapter. This draft chapter was read through in its entirety by the unit manager and the three air
quality planners for final review, with any identified errors corrected by the author of the section.
The draft version of the area source chapter was sent to the Arizona Department of Environmental Quality, the Arizona Department of Transportation, and the Maricopa Association of
Governments for a quality assurance review. These agencies provided comments which were
addressed and incorporated into the final area source chapter. The QA/QC activities described
here have produced high levels of confidence in the area source emissions estimates detailed in
this chapter, and represent the best efforts of the inventory preparers.
3.8

References

ADEQ, 2015. Email from J. Malloy, ADEQ to Dena Konopka, MCAQD. pers. commun., May
5, 2015.
Battye, R., W. Battye, C. Overcash and S. Fudge, 1994. Development and Selection of
Ammonia Emission Factors, p. 6-3. Prepared for U.S. Environmental Protection Agency,
Atmospheric Research and Exposure Assessment Laboratory by EC/R Inc., Durham, NC.
<www.sraproject.org/wp-content/uploads/2007/12/
developmentandselectionofammoniaemissionfactors.pdf>
CARB, 2000. A report to the California legislature on the potential health and environmental
impacts of leaf blowers. California Air Resources Board, Mobile Source Control Division,
February, 2000. <www.arb.ca.gov/msprog/mailouts/msc0005/msc0005.pdf>
CARB, 2003. Area-wide Source Methodologies, Section 7.5 Agricultural Harvest Operations,
revised January 2003. www.arb.ca.gov/ei/areasrc/fullpdf/full7-5.pdf.
CARB, 2006. Speciation Profiles and Size Fractions. California Air Resources Board,
Sacramento, CA. www.arb.ca.gov/ei/speciate/speciate.htm.
Clark County, 2001. PM10 State Implementation Plan for Clark County (Nevada), Appendix B:
Emissions Inventory Methodology, Emission Factors, and Emission Estimates, June 2001, p.
2014 Periodic Emissions Inventory for PM10

69

Maricopa County, AZ • September 2016

B-59. www.clarkcountynv.gov/airquality/planning/Documents/SIP/PM10/ App_BEmission_Inventory_Methodology.pdf.
Clark County, 2006. Inventory of Vacant Land Soil Stability and Unpaved Private Roads in the
Las Vegas Valley Using Remote Sensing Imagery. Prepared by Environmental Quality
Management, Inc. and Midwest Research Institute, December 2006.
www.clarkcountynv.gov/airquality/planning/Documents/Studies/PollutantSpecific/An_Inven
tory_of_Vacant_Land_Soil_Stability_and_Unpaved_Private_Roads_December_2006.pdf.
ENVIRON, 2004. Determining Fugitive Dust Emissions from Wind Erosion: Final Report.
Prepared for the Western Governors’ Association. March 12, 2004.
http://www.wrapair.org/forums/dejf/documents/WRAP_Fug_Dust_Final_Report.pdf
Fitz, D., D. Pankrath, S. Pederson, J. Bristow, and G. Arcemont, 2005. Determination [of]
Particulate Emission Rates from Leaf Blowers. Center for Environmental Research and
Technology, University of California Riverside.
http://www.epa.gov/ttn/chief/conference/ei15/session5/fitz.pdf
GOEP, 2013. Governor's Office of Energy Policy, Arizona Energy Statistics, Heating and
Cooling Degree Days. http://www.azenergy.gov/doclib/Degreedays.pdf.
MAG, 2000. Draft Final Report 1994 Regional PM10 Emission Inventory for the Maricopa
County Nonattainment Area, Revised MAG 1999 Serious Area Particulate Plan for PM10 for
the Maricopa County Nonattainment Area, Appendices Volume One. Maricopa Association
of Governments, Phoenix, AZ, Feb. 2000.
MAG, 2012. MAG 2012 Five Percent Plan for PM10 for the Maricopa County Nonattainment
Area. Maricopa Association of Governments, Phoenix, AZ. May 2012. www.azmag.gov/
Documents/EP_2012-06-06_FINAL-MAG-2012-Five-Percent-Plan-for-PM10-for-theMaricopa-County-Nonattainment-Area.pdf.
MCAQD, 2011. 2008 PM10 Periodic Emissions Inventory for the Maricopa County, Arizona,
Nonattainment Area. Revised June 2011. www.maricopa.gov/aq/divisions/planning_analysis/
emissions_inventory/reports/reports.aspx
US Census Bureau, 2015. 2014 County Business Patterns (NAICS).
http://censtats.census.gov/cgi-bin/cbpnaic/cbpsect.pl
USDA, 2014. United States Department of Agriculture National Agricultural Statistics Service,
Quick Stats, 2012 Census of Agriculture. www.agcensus.usda.gov/Publications/2012/
US EPA, 1992. Compilation of Air Pollution Emission Factors (AP-42). Fifth Ed. Vol. I:
Stationary Point and Area Sources. Section 2.5: Open Burning. US Environmental
Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park,
NC. http://www.epa.gov/ttn/chief/ap42/ch02/index.html
US EPA, 1997. Compilation of Air Pollution Emission Factors (AP-42). Fifth Ed. Vol. I:
Stationary Point and Area Sources. Section 13.2.1: Paved Roads. US Environmental
Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park,
NC. http://www.epa.gov/ttn/chief/ap42/ch13/index.html
US EPA, 1998. Compilation of Air Pollution Emission Factors (AP-42). Fifth Ed. Vol. I:
Stationary Point and Area Sources. Section 13.2.2: Unpaved Roads. US Environmental
Protection Agency, Office of Air Quality Planning and Standards, Research Triangle Park,
NC. http://www.epa.gov/ttn/chief/ap42/ch13/index.html
US EPA, 2001a. Introduction to Area Source Emission Inventory Development. Emission
Inventory Improvement Program (EIIP) Vol. III, Chap. 1. Prepared by Eastern Research
Group, Revised Final, Jan. 2001.
http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii01_apr2001.pdf.

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US EPA, 2002. Residential Construction – Fugitive Dust. Emission Inventory Improvement
Program (EIIP) Vol. IX: Particulate Emissions.
http://www.epa.gov/ttn/chief/eiip/techreport/volume09/residn3.pdf
US EPA, 2005. Emissions Inventory Guidance for Implementation of Ozone and Particulate
Matter National Ambient Air Quality Standards (NAAQS) and Regional Haze Regulations.
USEPA Office of Air Quality Planning and Standards, Research Triangle Park, NC. August
2005, updated Nov. 2005. http://www.epa.gov/ttn/chief/eidocs/eiguid/.
US EPA, 2006. Compilation of Air Pollution Emission Factors (AP-42). Fifth Ed. Vol. I:
Stationary Point and Area Sources. Section 13.2.2: Unpaved Roads. November 2006.
http://www.epa.gov/ttn/chief/ap42/ch13/final/c13s0202.pdf
US EPA, 2012a. WebFIRE. EPA’s online emissions factor repository, retrieval, and
development tool. http://www.epa.gov/ttn/chief/webfire/index.html
US EPA, 2012b. Residential Wood Combustion (RWC) Estimation Tool.
ftp://ftp.epa.gov/EmisInventory/2011nei/doc/
US EPA, 2012c. 2011 National Emissions Inventory Information, Data and documentation.
ftp://ftp.epa.gov/EmisInventory/2011nei/doc/
USFA, 2012. U. S. Fire Administration, National Fire Data Center, National Fire Incident
Reporting System (NFIRS), Data Archives: 2011 Public Data Release CD, Dec. 11, 2012.
WGA, 2006. Open Area Wind Erosion. Chap. 8 In: WRAP Fugitive Dust Handbook, prepared
by Countess Environmental, Western Governors’ Association (WGA) Contract No. 30204–
111, September, 2006. http://www.wrapair.org/forums/dejf/fdh/index.html.
WGA/WRAP, 2005. 2002 Fire Emission Inventory for the WRAP Region – Phase II. Project
No. 178-6. Western Governors Association/Western Regional Air Partnership. July 22, 2005.
Tables 5 and 6.
http://www.wrapair.org/forums/fejf/documents/WRAP_2002_PhII_EI_Report_20050722.pdf
WRAP, 2006a. Fugitive Dust Handbook. Chapter 3.0 Construction and Demolition, September
2006. http://wrapair.org/forums/dejf/fdh/ch3-constdem.html.
WRAP, 2006b. Fugitive Dust Handbook. Chapter 2.0 Agricultural Tilling, September 2006.
http://www.wrapair.org/forums/dejf/fdh/
WRAP, 2006c. Fugitive Dust Handbook. Chapter 10.0 Agricultural Harvesting, September
2006. http://www.wrapair.org/forums/dejf/fdh/
WRAP 2006d. Fugitive Dust Handbook. Chapter 6.0 Unpaved Roads, September 2006.
http://wrapair.org/forums/dejf/fdh/index.html.

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4.

Nonroad Mobile Sources

4.1

Introduction

Return to Table of Contents

Nonroad mobile sources are defined as those that move or are moved within a 12–month period
and are not licensed or certified as highway vehicles. Nonroad mobile sources are vehicles and
engines that fall under the following categories:
•
•
•
•
•
•
•
•
•
•
•
•
•

Agricultural equipment, such as tractors, combines and balers;
Airport ground support equipment, such as baggage tugs and terminal tractors;
Commercial equipment, such as generators and pumps;
Industrial equipment, such as forklifts and sweepers;
Construction and mining equipment, such as graders, back hoes and trenchers;
Lawn and garden equipment, such as leaf blowers and lawn mowers;
Logging equipment (not present in Maricopa County);
Pleasure craft, such as power boats and personal watercraft;
Railway maintenance equipment, such as rail straighteners;
Recreational equipment, such as all-terrain vehicles and off-road motorcycles;
Underground mining and oil field equipment (not present in Maricopa County);
Aircraft, such as jet- and piston-engine planes; and
Locomotives, such as switching and line haul trains.

EPA released MOVES2014a in November 2015 as a replacement for its prior NONROAD2008
model. EPA announced that it would no longer support NONROAD2008, and instead
recommended using MOVES2014a to model nonroad mobile source emissions. The
MOVES2014a model allows for the use of consistent fuel and meteorology inputs for both
onroad and nonroad mobile sources. While the same NONROAD2008 core code is still utilized,
the inputs and outputs are controlled with MySQL databases that are more efficient to maintain.
Procedures for updating local activity and population data have also improved and now require
less run time.
Emission calculations for most nonroad mobile source categories except aircraft, airport ground
support equipment (GSE) and locomotives were derived using the MOVES2014a model.
Aircraft and airport GSE emission estimates were made using the Federal Aviation Administration’s EDMS (Emissions Dispersion Modeling System) model, ver. 5.1.4. Locomotive
emission calculations were derived from surveys of the three railroad companies that have
operations in the county (Burlington Northern Santa Fe, Union Pacific and Amtrak).
County-specific temperature and fuel-related inputs are required to run the MOVES2014a model.
The prior NONROAD2008 model required manual user input of monthly temperatures
(minimum, maximum and average); Reid Vapor Pressure (RVP); gasoline and diesel sulfur
content; and information on local gasoline ethanol blends (volume percentage, market share
percentage and total oxygen weight percentage).
For the MOVES2014a model, hourly observed temperature data for a typical day in each month
were obtained from Phoenix Sky Harbor Airport. Fuel data were provided by the Arizona
Department of Weights and Measures, and are identical to the fuel data used in modeling onroad
mobile emissions

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EPA recommends adjusting default model input files (such as equipment population and activity
levels) where local data are available, as the default values in the model are derived from
national averages. For commercial lawn and garden equipment, model defaults were adjusted
based on 2003 survey results of the commercial lawn and garden industry performed by
ENVIRON as part of an inventory developed to study the impact of visibility-impairing
pollutants (ENVIRON et al., 2003). Survey results show that for most categories of lawn and
garden equipment, populations in Maricopa County are significantly lower than EPA default
values, while the average annual hours of operation for most equipment types are slightly higher
than EPA’s values. Using these local data results in a considerable decrease in emissions from
this category, compared with earlier results using EPA default inputs.
Typical daily emissions were estimated based on a 12-month average of the typical weekday, or
typical weekend, emissions in each month as generated by the MOVES2014a model. To be
conservative, the day with the highest emissions (weekday or weekend) was selected to represent
typical daily emissions for each nonroad emissions category. For example, typical daily
emissions from agricultural equipment are highest on weekdays as compared to weekends. As
such, weekday emissions are selected to be representative of daily emissions for agricultural
equipment. (Other categories, such as recreational equipment, have higher emissions on
weekends as compared to weekdays).
Annual emissions are first calculated by multiplying the month-specific MOVES2014a model
typical weekday and weekend emissions by the number of weekdays and weekends in each
month. The product of the weekday and weekend emissions in each month is then summed to
produce month-specific emissions. Lastly, monthly emissions are summed to produce annual
emissions.
Spatial allocation factors were developed to apportion Maricopa County-level annual and typical
daily nonroad emissions to the PM10 nonattainment area. The approaches used are described in
each section of this chapter.
4.2

Agricultural equipment

Annual and typical daily emissions from agricultural equipment in Maricopa County were calculated using EPA’s MOVES2014a model as discussed above. Annual and typical daily emissions
for the PM10 nonattainment area were calculated based on the Emission Inventory Guidance for
Implementation of Ozone [and Particulate Matter] National Ambient Air Quality Standards
(NAAQS) and Regional Haze Regulations (US EPA, 2014) and Geographical Allocation (GA)
guidance (US EPA, 2002) which recommends using the ratio of agricultural land inside the
nonattainment area (114,722 acres) to agricultural land inside the county (267,894 acres). See
Section 1.5.2 for a discussion of the land-use data used. The resulting annual and typical daily
emissions are presented in Table 4.2–1.
Table 4.2–1. Annual and typical daily emissions from agricultural equipment.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 22.9
22.2
286.9
0.0
0.3
146
142
1,832
0
2
PM10 NAA
9.8
9.5
122.9
0.0
0.1
63
61
785
0
1

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4.3

Airport ground support equipment

Annual and typical daily emissions from airport ground support equipment (GSE) and auxiliary
power units (APUs) were calculated using the Emissions Dispersion Modeling System (EDMS,
v. 5.1.4) from the U.S. Federal Aviation Administration (FAA). Activity data on 2014 aircraft
operations and GSE use for eight major airports were obtained from FAA’s Operations and
Performance Data System and MAG’s 2014 survey data. In addition, 2014 activity data for six
small general-aviation airports were obtained from FAA’s 2015 Terminal Area Forecast (TAF)
dataset and MAG’s 2009 and 2014 survey data. (Further details concerning the modeling input
data and results are described in Section 4.11, Aircraft). Emissions from GSE and APUs at Luke
Air Force Base (AFB) for the year 2014 are grouped together with aircraft emissions at Luke
AFB in Section 4.11. The resulting annual and typical daily emissions are shown in Tables 4.3–
1 and 4.3–2 below. (Note that the EDMS model does not include calculation of ammonia
emissions.)
Table 4.3–1. Annual emissions (tons/year) from airport ground support equipment (GSE)
and auxiliary power units (APUs).
Maricopa County
PM10 nonattainment area
Equipment type
PM10 PM2.5 NOx
SOx
PM10 PM2.5 NOx
SOx
GSE
6.8
6.4
211.1
6.6
6.6
6.3
206.2
6.4
APUs
10.5
10.5
82.7 11.6
10.5
10.5
82.4 11.5
Totals:
17.3
16.9
293.7 18.2
17.1
16.7
288.6 18.0
Table 4.3–2. Typical daily emissions (lbs/day) from airport GSE and APUs.
Maricopa County
PM10 nonattainment area
Equipment type
PM10 PM2.5 NOx
SOx
PM10 PM2.5 NOx
SOx
GSE
37
35
1,156
36
36
35
1,130
35
APUs
58
58
453
63
57
57
452
63
Totals:
95
93
1,610
100
94
92
1,581
98
4.4

Commercial equipment

Annual and typical daily emissions from commercial equipment in Maricopa County were calculated using EPA’s MOVES2014a model, as described in Section 4.1. Annual and typical daily
emissions for the PM10 nonattainment area for this category were derived by applying the ratio of
industrial employment in the nonattainment area to Maricopa County-level employment, as data
on the number of wholesale establishments recommended by EPA guidance (US EPA, 2002)
was not available. See Section 1.5.1 for a discussion of the industrial employment data used.
The resulting annual and typical daily emissions estimates are shown in Table 4.4–1 below.
Table 4.4–1. Annual and typical daily emissions from commercial equipment.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 102.6 97.9 1,175.6 1.3
2.4
656
626
7,520
9
15
PM10 NAA
102.3 97.6 1,171.5 1.4
2.4
654
624
7,493
9
15

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4.5

Construction and mining equipment

Annual and typical daily emissions from construction and mining equipment in Maricopa County
were calculated using EPA’s MOVES2014a model as described in Section 4.1. Annual and
typical daily emissions for the PM10 nonattainment area for this category were derived by
applying the ratio of construction employment in the nonattainment area to Maricopa Countylevel employment as a conservative estimate, as the EPA-recommended allocation factor (the
total dollar value of all construction) was unavailable (US EPA, 2002). See Section 1.5.1 for a
discussion of the employment data used. The resulting annual and typical daily emissions
estimates are shown in Table 4.5–1 below.
Table 4.5–1. Annual and typical daily emissions from construction and mining equipment.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 925.8 895.6 10,495.7 0.3
15.1 5,920 5,727 67,111
2
97
PM10 NAA
870.5 842.1 9,869.2 0.3
14.2 5,566 5,385 63,105
2
91
4.6

Industrial equipment

Annual and typical daily emissions from industrial equipment in Maricopa County were calculated using EPA’s MOVES2014a model, as described in Section 4.1. Annual and typical daily
emissions for the PM10 nonattainment area for this category were derived by applying the ratio of
industrial employment in the nonattainment area to Maricopa County-level employment as a
conservative estimate, as the number of employees in manufacturing recommended by EPA
guidance (US EPA, 2002) was unavailable. See Section 1.5.1 for a discussion of the industrial
employment data used. The resulting annual and typical daily emissions estimates are shown in
Table 4.6–1 below.
Table 4.6–1. Annual and typical daily emissions from industrial equipment.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 70.9
69.2
1,263.3 0.7
1.3
432
422
7,727
5
8
PM10 NAA
70.6
68.9
1,258.8 0.7
1.3
430
420
7,699
5
8
4.7

Lawn and garden equipment

Annual and typical daily emissions from lawn and garden equipment in Maricopa County were
calculated using EPA’s MOVES2014a model, as described in Section 4.1. These results reflect
equipment population and usage estimates from survey work done in early 2003 for the Arizona
Department of Environmental Quality (discussed further in Section 4.1). Annual and typical
daily emissions for the PM10 nonattainment area for this category were derived by applying the
ratio of population in the nonattainment area to Maricopa County-level population, since housing
units was not available, as recommended by EPA guidance (US EPA, 2002). See Section 1.5.1
for a discussion of the population data used. The resulting annual and typical daily emissions
estimates are shown in Table 4.7–1 below.

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Table 4.7–1. Annual and typical daily emissions from lawn and garden equipment.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 163.9 151.5 589.9
2.0
2.7
904
834
3,370
13
16
PM10 NAA
164.4 151.9 591.7
2.0
2.7
906
837
3,380
13
17
4.8

Pleasure craft

Annual and typical daily emissions from pleasure craft equipment in Maricopa County were
calculated using EPA’s MOVES2014a model, as described in Section 4.1. Annual and typical
daily emissions for the PM10 nonattainment area for this category were derived by applying the
ratio of water surface area in the nonattainment area to Maricopa County-level water surface
area, as recommended by EPA guidance (US EPA, 2002). See Section 1.5.2 for a discussion of
the land-use data used. The resulting annual and typical daily emissions estimates are shown in
Table 4.8–1 below.
Table 4.8–1. Annual and typical daily emissions from pleasure craft equipment.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 5.2
4.9
98.3
0.1
0.2
70
64
1,304
1
2
PM10 NAA
3.0
2.8
56.3
0.1
0.1
40
37
746
1
1
4.9

Railway maintenance equipment

Annual and typical daily emissions from railway maintenance equipment in Maricopa County
were calculated using EPA’s MOVES2014a model, as described in Section 4.1. Annual and
typical daily emissions for the PM10 nonattainment area for this category were derived by
applying the ratio of population in the nonattainment area to Maricopa County-level population,
as recommended by EPA guidance (US EPA, 2002). See Section 1.5.1 for a discussion of the
population data used. The resulting annual and typical daily emissions estimates are shown in
Table 4.9–1 below.
Table 4.9–1. Annual and typical daily emissions from railway maintenance equipment.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 0.9
0.9
7.7
0.0
0.0
6
6
54
0
0
PM10 NAA
0.9
0.9
7.8
0.0
0.0
6
6
54
0
0
4.10

Recreational equipment

Annual and typical daily emissions from recreational equipment in Maricopa County were calculated using EPA’s MOVES2014a model, as described in Section 4.1. Annual and typical daily
emissions for the PM10 nonattainment area for this category were derived by applying the ratio of
passive open space and vacant land use within the nonattainment area to Maricopa County-level
land use, as recommended by EPA guidance (US EPA, 2002). See Section 1.5.2 for a discussion
2014 Periodic Emissions Inventory for PM10

73

Maricopa County, AZ • September 2016

of the land-use data used. The resulting annual and typical daily emissions estimates are shown
in Table 4.10–1 below.
Table 4.10–1. Annual and typical daily emissions from recreational equipment.
Geographic
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
area
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Maricopa Co. 38.7
35.6
62.4
0.3
0.4
328
302
530
3
4
PM10 NAA
6.9
6.4
11.1
0.1
0.1
59
54
94
1
1
4.11

Aircraft

Emissions from aircraft at the airports in Maricopa County were estimated using the Federal
Aviation Administration’s Emissions and Dispersion Model (EDMS, v. 5.1.4). The FAA EDMS
model combines atmospheric mixing heights and aircraft-specific activity data with default
emissions factors in order to estimate annual emissions inventories for a specific airport. The
model calculates emissions of sulfur oxides (SOx), oxides of nitrogen (NOx), particulate matter
(only for certain categories of airframes and engines), carbon monoxide (CO), and hydrocarbons
(HC). The model also estimate emissions from ground support equipment (GSE) and auxiliary
power units (APUs), using either default profiles or user-specified information about these
components. The emissions from GSE and APUs at all airports other than Luke Air Force Base
have been addressed and reported in Section 4.3 above.
One required meteorological input for EDMS is atmospheric mixing height, which is defined as
the height (or depth) above ground where relatively vigorous vertical mixing occurs due to
convection. To calculate the time-varying mixing height, the latest version of the EPA
AERMOD Meteorological Preprocessor (AERMET version 15181) was employed. Both the
2014 hourly surface meteorological data and the 2014 one-minute Automated Surface Observing
System (ASOS) wind data from the National Weather Service (NWS) station at Phoenix Sky
Harbor were used (NCDC, 2015). Upper-air data for all of 2014 for the Tucson station (#23160)
were obtained from the National Oceanic and Atmospheric Administration (NOAA) Earth
System Research Laboratory Radiosonde Database (ESRL, 2015). Ultimately, a single mixing
height dataset in 2014 has been used for all airports other than Luke Air Force Base.
Aircraft emissions have been estimated for four aircraft categories:
• Air carriers (abbreviated “AC”): Larger commercial aircraft with at least 60 seats or
18,000 lbs payload capacity, used for scheduled service to transport passengers and/or
freight;
• Air taxis (“AT”): Smaller commercial turbine- or piston-powered aircraft with less than
60 seats or 18,000 lbs payload capacity;
• General aviation (“GA”): Aircraft used on an unscheduled basis for recreational flying,
personal transportation, and other activities, including business travel; and
• Military (“ML”): Aircraft used to support military operations.
Within each of these four main categories, many combinations of specific aircraft and engines
are modeled and aggregated by EDMS to produce overall emissions for each of the four
categories.

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Maricopa County, AZ • September 2016

Three databases from the Federal Aviation Administration (FAA) provide annual aircraft
activity, aircraft type fleet mix, and hourly/weekly/monthly operational profiles for the eight
major airports in the PM10 nonattainment area: Chandler Municipal, Falcon Field, Glendale
Municipal, Phoenix Deer Valley, Phoenix Goodyear, Phoenix-Mesa Gateway, Phoenix Sky
Harbor, and Scottsdale airports. The three FAA databases are:
(1) Operational Network (OPSNET) database (FAA, 2015a),
(2) Enhanced Traffic Management System Counts (ETMSC) database, and
(3) Aviation System Performance Metrics (ASPM) database (FAA, 2015b).
In addition, the Traffic Flow Management System Counts (TFMSC) database provides taxi-in
and taxi-out time for Phoenix Sky Harbor Airport, while MAG’s survey of year 2014 data
quantifies touch-and-go operations from Phoenix Deer Valley Airport and Phoenix Goodyear
Airport.
To supplement the FAA’s database for the eight major airports, another three datasets were used
for the six small general-aviation airports:
(1) FAA’s Terminal Area Forecast (TAF) database (FAA, 2015c) for year 2014 activity
data at Gila Bend Municipal and Wickenburg Municipal airports;
(2) MAG’s survey of year 2014 Buckeye Municipal Aircraft activity; and
(3) MAG’s survey of the year 2008 data on aircraft activity (landing and take-off or
LTOs) in Pleasant Valley, Sky Ranch at Carefree, and Stellar Airpark airports.
Data for the year 2008 for the remaining three small general-aviation airports are assumed to be
representative of 2014 activity, since updated aircraft activity data for these airports were not
available. Table 4.11–1 below summarizes the activity level for each aircraft category for each
airport included in the modeling, and indicates the data sources for each airport’s activity
(reported number of operations) and fleet mix.
The following section describes how activity and emissions were estimated for a representative
airport, Chandler Municipal (CHD). The FAA’s Operational Network (OPSNET) database
provided 2014 activity by aircraft type category as listed in Table 4.11–1. While OPSNET
reported a total of 215,589 general aviation operations at this airport in 2014, further information
on the aircraft types for this activity was needed so that the FAA’s Enhanced Traffic Management System Counts (ETMSC) database was used to “grow” available aircraft-specific
operational data as described below.
The ETMSC database on general aviation activity at Chandler Municipal Airport (CHD) in 2014
comprises 86 different aircraft types, totaling 3,063 operations. The aircraft-specific activity data
were ranked in the decreasing order. Activity data for the predominant aircraft was then grown to
represent all general aviation activity. This process for the general aviation activity at Chandler
Municipal Airport is depicted in Table 4.11–2.
The processes of ranking reported activity and growing this subset of data typically resulted in
10 to 30 aircraft types for each airport/aircraft class combination, representing 85 to 100% of all
reported activity.

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Maricopa County, AZ • September 2016

Table 4.11–1. Annual airport operations (by aircraft category) and related data sources.
Operations
Fleet mix
Aircraft
2014
1
2
3
Airport
Code
data source
data source
type
operations
Buckeye Municipal
BXK Survey response generic GA profile GA
37,114
Chandler Municipal CHD
FAA/OPSNET
FAA/ETMSC
AT
1,852
GA
215,589
ML
108
Falcon Field
FFZ
FAA/OPSNET
FAA/ETMSC
AC
18
AT
38,805
GA
194,557
ML
3,043
Gila Bend Municipal E63
FAA/TAF
generic GA profile GA
3,550
Glendale Municipal
GEU
FAA/OPSNET
FAA/ETMSC
AT
882
GA
64,033
ML
138
Luke Air Force Base LUF [Aircraft emissions in 2014 were estimates through scaling
based on the numbers of F-16s and F-35s]
Phoenix Deer Valley DVT
FAA/OPSNET, Survey response,
AC
15
Survey response
FAA/ETMSC
AT
5,368
GA
334,024 *
ML
86
Phoenix Goodyear
GYR FAA/OPSNET, Survey response,
AC
234
Survey response
FAA/ETMSC
AT
3,930
GA
75,354 *
ML
3,998
Phoenix-Mesa
IWA
FAA/OPSNET
FAA/ETMSC
AC
10,134
Gateway (formerly
AT
22,867
Williams Gateway)
GA
186,488
ML
8,879
Phoenix Sky Harbor PHX
FAA/OPSNET
FAA/ETMSC
AC
352,732
AT
54,599
GA
20,579
ML
2,551
Pleasant Valley
P48 Survey Response generic GA profile GA
6,010
Scottsdale
SDL
FAA/OPSNET
FAA/ETMSC
AC
76
AT
15,518
GA
133,540
ML
1,285
Sky Ranch/Carefree 18AZ Survey response generic GA profile GA
3,030
Stellar Airpark
P19
airnav.com
generic GA profile GA
39,056
Wickenburg Mun.
E25
FAA/TAF
generic GA profile GA
36,030

1. FAA/OPSNET: Federal Aviation Administration’s Operations Network (database); aspm.faa.gov.
FAA/TAF:. FAA’s Terminal Area Forecast; taf.faa.gov
2. FAA/ETMSC: FAA’s Enhanced Traffic Management System Counts (database); aspm.faa.gov.
3. AC: Air Commercial; AT: Air Taxi; GA: General Aviation; ML: Military
* The number of operations includes touch-and-go operations reported by airport.

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Maricopa County, AZ • September 2016

Table 4.11–2. Aircraft-specific activity growth for EDMS modeling input for Chandler
Municipal airport.
Operations
ETMSC% total
grown for
reported
reported Cumulative EDMS
Rank Aircraft type
operations operations percent
modeling
1 P28A: Piper Cherokee
490
16.00%
16.00%
40,568
2 BE20: Beech 200 Super King
177
5.78%
21.78%
14,654
3 C172: Cessna Skyhawk 172/Cutlass
168
5.48%
27.26%
13,909
4 BE58: Beech 58
162
5.29%
32.55%
13,412
5 C25C: Cessna Citation CJ4
152
4.96%
37.51%
12,584
6 R22: Robinson R-22 Mariner
135
4.41%
41.92%
11,177
7 C182: Cessna Skylane 182
131
4.28%
46.20%
10,846
8 C560: Cessna Citation V/Ultra
119
3.89%
50.08%
9,852
9 BE36: Beech Bonanza 36
104
3.40%
53.48%
8,610
10 P46T: Piper Malibu Meridian
89
2.91%
56.38%
7,368
11 C510: Cessna Citation Mustang
84
2.74%
59.13%
6,955
12 AC90: Gulfstream Commander
79
2.58%
61.70%
6,541
13 SR22: Cirrus SR 22
79
2.58%
64.28%
6,541
14 PC12: Pilatus PC-12
78
2.55%
66.83%
6,458
15 BE33: Beech Bonanza 33
73
2.38%
69.21%
6,044
16 PA46: Piper Malibu
70
2.29%
71.50%
5,795
17 BE35: Beech Bonanza 35
68
2.22%
73.72%
5,630
18 C525: Cessna CitationJet/CJ1
58
1.89%
75.61%
4,802
19 PA28: Piper Cherokee
42
1.37%
76.98%
3,477
20 M20P: Mooney M-20C Ranger
38
1.24%
78.22%
3,146
21 BE9L: Beech King Air 90
37
1.21%
79.43%
3,063
22 M20T: Turbo Mooney M20K
37
1.21%
80.64%
3,063
23 PA44: Piper Seminole
36
1.18%
81.82%
2,981
24 C340: Cessna 340
34
1.11%
82.93%
2,815
25 C210: Cessna 210 Centurion
32
1.04%
83.97%
2,649
26 DA40: Diamond Star DA40
32
1.04%
85.01%
2,649
 



86 H25B: BAe HS125/7-800/ Hawker
2
< 0.1%
100.00%
(n/a)
Total:
3,063
215,589
Aircraft emissions at Luke Air Force Base (AFB) are based upon three types of aircraft: F-16,
F-35, and “transient” aircraft, and also includes emissions from associated ground support equipment (GSE). F-16 aircraft emissions and associated GSE emissions were scaled using a ratio of
the number of F-16s in 2014 to the number of F-16s in 2008 (Weston, 2010). Emissions from
F-35 aircraft and their associated GSE were scaled using a ratio of the number of F-35 aircraft in
2014 to the future total number (144) of F-35 aircraft in the L6 scenario emissions as obtained
from the base’s 2012 environmental impact statement report (USAF, 2012). “Transient” aircraft
emissions in 2014 were assumed to be the same as those in 2008, based on discussions with Luke
AFB personnel. Emissions from F-16 aircraft, F-35 aircraft, “transient” aircraft, and GSE were
all summed into the single “ML” category for Luke Air Force Base.

2014 Periodic Emissions Inventory for PM10

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Maricopa County, AZ • September 2016

Tables 4.11–3 and 4.11–4 present the total annual and typical daily emissions by airport and
aircraft type, for airports inside and outside the PM10 nonattainment area, respectively.
Table 4.11–3. Annual and typical daily emissions for airports in the PM10 nonattainment
area, by airport and aircraft type.
Facility
Chandler Municipal

Falcon Field

Glendale Municipal

Luke Air Force Base
Phoenix Deer Valley

Phoenix Goodyear

Phoenix Sky Harbor
Intl

Phoenix-Mesa
Gateway Airport

Pleasant Valley
Scottsdale

Skyranch at Carefree
Stellar Airpark
PM10 NAA totals:

Category
AT
GA
ML
Total
AC
AT
GA
ML
Total
AT
GA
ML
Total
ML
AC
AT
GA
ML
Total
AC
AT
GA
ML
Total
AC
AT
GA
ML
Total
AC
AT
GA
ML
Total
GA
AC
AT
GA
ML
Total
GA
GA

Annual emissions (tons/yr)
PM10
PM2.5
NOx
SOx
0.1
0.1
1.2
0.2
5.5
5.5
24.1
6.9
0.0
0.0
0.0
0.0
5.7
5.7
25.3
7.1
0.0
0.0
0.0
0.0
2.8
2.8
27.9
4.7
5.0
5.0
24.7
7.4
0.1
0.1
0.8
0.2
7.9
7.9
53.4
12.3
0.1
0.1
0.9
0.1
2.6
2.6
11.5
3.1
0.0
0.0
0.0
0.0
2.7
2.7
12.4
3.3
38.1
38.1
244.8
22.7
0.0
0.0
0.0
0.0
0.3
0.3
5.6
0.8
8.3
8.3
49.0
13.1
0.0
0.0
0.0
0.0
8.6
8.6
54.6
13.9
0.0
0.0
0.7
0.1
0.3
0.3
3.8
0.6
2.5
2.5
39.1
5.7
0.3
0.3
23.5
1.8
3.2
3.2
67.1
8.3
22.7
22.7 1,567.1
156.3
1.7
1.7
109.2
14.8
0.8
0.8
9.3
1.9
0.4
0.4
29.1
2.8
25.6
25.6 1,714.6
175.7
0.6
0.6
39.0
4.9
2.1
2.1
13.1
2.7
6.0
6.0
47.8
13.5
0.7
0.7
17.3
2.6
9.4
9.4
117.3
23.6
0.0
0.01
0.4
0.1
0.0
0.0
0.1
0.0
1.0
1.03
13.1
2.2
5.5
5.49
76.6
15.8
0.0
0.04
0.5
0.1
6.6
6.56
90.3
18.1
0.1
0.07
0.3
0.1
0.7
0.65
2.3
0.9
108.4
108.4 2,382.5
286.1

AC: Air Commercial; AT: Air Taxi; GA: General Aviation; ML: Military

2014 Periodic Emissions Inventory for PM10

78

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
1
1
7
1
30
30
132
38
0
0
0
0
31
31
139
38
0
0
0
0
15
15
153
26
28
28
135
41
0
0
5
1
43
43
292
68
0
0
5
1
14
14
63
17
0
0
0
0
15
15
68
18
293
293
1,883
174
0
0
0
0
2
2
31
5
45
45
269
72
0
0
0
0
47
47
299
76
0
0
4
0
2
2
21
4
14
14
214
31
2
2
129
10
17
17
367
45
125
125
8,587
856
9
9
598
81
5
5
51
10
2
2
159
15
141
141
9,395
963
3
3
214
27
12
12
72
15
33
33
262
74
4
4
95
14
52
52
643
130
0
0
2
1
0
0
0
0
6
6
72
12
30
30
420
87
0
0
3
1
36
36
495
99
0
0
1
1
4
4
12
5
678
678
13,597
1,618

Maricopa County, AZ • September 2016

Table 4.11–4. Annual and typical daily emissions for airports outside the PM10 nonattainment area, by airport and aircraft type.
Facility
Buckeye Municipal
Gila Bend Municipal
Wickenburg Municipal
Non-PM10 NAA totals:
Maricopa County totals:

4.12

Category
GA
GA
GA

Annual emissions (tons/yr)
PM10
PM2.5
NOx
SOx
0.5
0.5
1.7
0.6
0.1
0.1
0.2
0.1
1.4
1.4
6.8
1.7
2.0
2.0
8.7
2.4

110.4

110.4

2,391.1

288.5

Typical daily emissions (lbs/day)
PM10
PM2.5
NOx
SOx
3
3
9
4
0
0
1
0
8
8
37
9
11
13
11
47
689

689

13,644

1,631

Locomotives

Annual emissions from locomotives were calculated based on diesel fuel usage provided by Burlington Northern/Santa Fe Railway (BNSF), Union Pacific Railway (UP) and Amtrak. Railway
operations from these companies fall into three categories: Class I haul lines, passenger trains,
and yard/switching operations. Annual emissions were calculated by multiplying diesel fuel
usage by emission factors published by US EPA (2009).
Activity was assumed to occur evenly throughout the year, thus annual emission values were
divided by 365 to derive daily estimates. The resulting annual and typical day emissions from
each of the categories in Maricopa County are presented in Table 4.12–1.
Table 4.12–1. Annual and typical daily emissions from locomotives in Maricopa County.
Locomotive
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
type
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Class I
62.8 60.9 2,126.8 238.4 1.7
344
334 11,654 1,306
9
Yard/switch
7.4
7.2
329.7
23.4 0.2
41
40
1,807
128
1
Passenger
0.6
0.6
21.8
2.2 0.0
3
3
119
12
0
Totals:
70.8 68.7 2,478.3 264.0 1.8
388
376 13,580 1,446
10
To calculate emissions within the PM10 nonattainment area, County-level emissions were
multiplied by the percentage of track miles within the nonattainment area, determined by GIS
mapping. The resulting annual and typical daily emissions are shown in Table 4.12–2.
Table 4.12–2. Annual and typical daily emissions from locomotives in the PM10
nonattainment area.
Activity
Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
type
PM10 PM2.5 NOx
SOx NH3 PM10 PM2.5 NOx
SOx
NH3
Class I
27.8
27.0
941.6 105.5
0.7
152
148
5,159
578
4
Yard/switch
7.4
7.2
329.7
23.4
0.2
41
40
1,807
128
1
Passenger
0.0
0.0
0.0
0.0
0.0
0
0
0
0
0
Totals:
35.2
34.2 1,271.3 129.0
0.9
193
187
6,966
707
5

2014 Periodic Emissions Inventory for PM10

79

Maricopa County, AZ • September 2016

4.13

Quality assurance procedures

Established procedures were used to check, and correct when necessary, the nonroad mobile
sources emissions estimates. All model input and output files, and Excel spreadsheets used to
calculate the emissions, were checked by personnel who were not involved in the development
of the modeling inputs/outputs and spreadsheets under review. In addition, the emissions
estimates were reviewed for reasonableness by external agency staff.
4.14

Summary of all nonroad mobile source emissions

Table 4.14–1 summarizes annual and typical daily emissions of PM10, PM2.5, NOx, SOx and NH3
from nonroad mobile sources in Maricopa County. Table 4.14–2 shows annual and typical daily
emissions for these pollutants for the PM10 nonattainment area.
Table 4.14–1. Annual and typical daily emissions from nonroad mobile sources in
Maricopa County.
Annual emissions (tons/yr)
Category
PM10
PM2.5 NOx
SOx NH3
Agricultural
22.9
22.2
286.9
0.0 0.3
Airport GSE+APUs
17.3
16.9
293.7 18.2 0.0
Commercial
102.6
97.9 1,175.6
1.3 2.4
Construction/mining 925.8
895.6 10,495.7
0.3 15.1
Industrial
70.9
69.2 1,263.3
0.7 1.3
Lawn & garden
163.9
151.5
589.9
2.0 2.7
Pleasure craft
5.2
4.9
98.3
0.1 0.2
Railway maintenance
0.9
0.9
7.7
0.0 0.0
Recreational
38.7
35.6
62.4
0.3 0.4
Aircraft
110.4
110.4 2,391.1 288.5 0.0
Locomotives
70.8
68.7 2,478.3 264.0 1.9
Totals:
1,529.4 1,473.8 19,143.1 575.4 24.2

Typical daily emissions (lbs/day)
PM10 PM2.5
NOx
SOx NH3
146 142
1,832
0
2
95
93
1,610 100
0
656 626
7,520
9
15
5,920 5,727
67,111
2
97
432 422
7,727
5
8
904 834
3,370
13
16
70
64
1,304
1
2
6
6
53
0
0
328 302
530
3
4
689 689
13,644 1,631
0
388 377
13,580 1,446
10
9,634 9,282 118,279 3,209 154

Table 4.14–2. Annual and typical daily emissions from nonroad mobile sources in the PM10
nonattainment area.
Annual emissions (tons/yr)
Category
PM10
PM2.5 NOx
SOx NH3
Agricultural
9.8
9.5
122.9
0.0 0.1
Airport GSE+APUs
17.1
16.7
288.6 18.0 0.0
Commercial
102.3
97.6 1,171.5
1.3 2.4
Construction/mining 870.5
842.1 9,869.2
0.3 14.2
Industrial
70.6
68.9 1,258.8
0.7 1.3
Lawn & garden
164.4
151.9
591.7
2.0 2.7
Pleasure craft
3.0
2.8
56.3
0.1 0.1
Railway maintenance
0.9
0.9
7.8
0.0 0.0
Recreational
6.9
6.4
11.1
0.1 0.1
Aircraft
108.4
108.4 2,382.5 286.1 0.0
Locomotives
35.2
34.2 1,271.3 129.0 0.9
Totals:
1,389.1 1,339.4 17,031.5 437.5 21.7

2014 Periodic Emissions Inventory for PM10

80

Typical daily emissions (lbs/day)
PM10 PM2.5
NOx
SOx NH3
146 142
1,832
0
2
95
93
1,610 100
0
656 626
7,520
9
15
5,920 5,727
67,111
2
97
432 422
7,727
5
8
904 834
3,370
13
16
70
64
1,304
1
2
6
6
53
0
0
328 302
530
3
4
689 689
13,644 1,631
0
388 377
13,580 1,446
10
8,689 8,380 105,499 2,452 138

Maricopa County, AZ • September 2016

4.15

References

ENVIRON et al., 2003. Maricopa County 2002 Comprehensive Emission Inventory for the Cap
and Trade Oversight Committee, Final Rep. Oct. 9, 2003. Prepared for Arizona Dept. of
Environmental Quality.
ESRL, 2015. NOAA/ESRL Radiosonde Database. NOAA Earth System Research Laboratory,
Boulder, CO. http://www.esrl.noaa.gov/raobs/.
FAA, 2015a. Operational Network (OPSNET) data base. Federal Aviation Administration
http://aspm.faa.gov/opsnet/sys/Airport.asp.
FAA, 2015b. Aviation Performance Metrics (APM) data base. Federal Aviation Administration
https://aspm.faa.gov/apm/sys/AnalysisAP.asp.
FAA, 2015c. Terminal Area Forecast (TAF) data base. Federal Aviation Administration.
http://taf.faa.gov.
USAF, 2012. F-35A Training Basing Environmental Impact Statement, U.S. Air Force.
US EPA, 2002. Geographic Allocation of State Level Nonroad Engine Population Data to the
County Level. EPA Office of Transportation and Air Quality, Rep. EPA420-P-02-009, July,
http://www.epa.gov/otaq/models/nonrdmdl/p02009.pdf
US EPA, 2014. Emissions Inventory Guidance for Implementation of Ozone [and Particulate
Matter] National Ambient Air Quality Standards (NAAQS) and Regional Haze Regulations
(Draft 4/11/2014). US Environmental Protection Agency.
https://www.epa.gov/sites/production/files/2014-10/documents/2014revisedeiguidance_0.pdf
Weston, 2010. 2008 Mobile Source Air Emissions Inventory for Luke Air Force Base. Weston
Solutions, Inc., June 2010.

2014 Periodic Emissions Inventory for PM10

81

Maricopa County, AZ • September 2016

2014 Periodic Emissions Inventory for PM10

82

Maricopa County, AZ • September 2016

5.

Onroad Mobile Sources

5.1

Introduction

Return to Table of Contents

Onroad mobile source emissions have been calculated for particulate matter for the 2014
Periodic Emissions Inventory (PEI) for the Maricopa County area. For the purposes of this
particulate matter inventory, the following pollutants were included: PM10, PM2.5, nitrogen
oxides (NOx), sulfur dioxide (SO2), and ammonia (NH3). PM10 refers to all particles less than or
equal to 10 micrometers in diameter and PM2.5 refers to particles less than or equal to 2.5
micrometers in diameter.
Onroad mobile source emissions were estimated for the PM10 nonattainment area (NAA), as well
as for Maricopa County. Emission factors were calculated using Motor Vehicle Emission
Simulator (MOVES2014a), which is the latest model developed by the U.S. Environmental
Protection Agency (EPA) for the purpose of estimating motor vehicle emission factors, and AP42, which is the EPA Compilation of Air Pollutant Emission Factors.
Onroad exhaust, tire wear, and brake wear emissions were estimated by MOVES2014a. The
MOVES2014a inputs were developed using local data from multiple sources such as the Arizona
Department of Transportation (ADOT), the Arizona Department of Weights and Measures
(ADWM), the Maricopa Association of Governments (MAG) Transportation Division, and the
National Climatic Data Center (NCDC).
Paved road fugitive dust emission estimates were derived from the AP-42 equation published by
EPA in January 2011. The 2014 vehicle miles traveled (VMT) for freeways, high-traffic
arterials, and low-traffic arterials were derived from the 2014 traffic assignment produced by the
MAG travel demand model. Low-traffic arterials carry less than 10,000 vehicles on an average
weekday, while high-traffic arterials carry 10,000 or more vehicles on an average weekday.
These traffic assignment VMTs were multiplied by the appropriate particulate emission factors
derived from the AP-42 equation for paved roads.
Public unpaved road VMTs were derived from the MAG 2009 Unpaved Road Inventory (MAG,
2010). VMTs for private unpaved roads and alleys were derived from a study conducted by
MAG in August-September 2011 (MAG, 2011). The public and private unpaved road and alley
VMTs were multiplied by the appropriate AP-42 emission factors.
The main references for preparing the onroad mobile source portion of the 2014 emissions
inventory were:
•
•
•
•
•

Emission Inventory Requirements for Ozone State Implementation Plans (US EPA,
1991);
Procedures for Emission Inventory Preparation Volume IV: Mobile Sources (US EPA,
1992a);
Quality Review Guidelines for 1990 Base Year Emission Inventories (US EPA, 1992b);
Compilation of Air Pollutant Emissions Factors, AP-42 (US EPA, 2006);
Emissions Inventory Guidance for Implementation of Ozone [and Particulate Matter]
National Ambient Air Quality Standards (NAAQS) and Regional Haze Regulations (US
EPA, 2014a);

2014 Periodic Emissions Inventory for PM10

83

Maricopa County, AZ • September 2016

•
•
•
•
•

5.2

Policy Guidance on the Use of MOVES2014 for State Implementation Plan
Development, Transportation Conformity, and Other Purposes (US EPA, 2014b);
MOVES2014a User Guide (US EPA, 2015a);
MOVES2014a User Interface Reference Manual (US EPA, 2015b);
MOVES2014a Software Design Reference Manual (US EPA, 2015c); and
MOVES2014 and MOVES2014a Technical Guidance: Using MOVES to Prepare
Emission Inventories for State Implementation Plans and Transportation Conformity (US
EPA, 2015d)
Exhaust, tire wear, and brake wear

Vehicle exhaust emission factors for PM10, PM2.5, NOx, SO2, and NH3, as well as tire wear and
brake wear emission factors for PM10 and PM2.5, were calculated using MOVES2014a. The
exhaust PM10 and PM2.5 estimates include the components of sulfate and carbon (organic and
elemental).
5.2.1

MOVES2014a model

The emissions were calculated using the EPA state-of-the-art emissions modeling tool,
MOVES2014a. MOVES2014a is intended for official use to estimate national, state, and county
level inventories of criteria air pollutants from highway vehicles. The user of MOVES2014a is
allowed to specify vehicle types, time periods, geographical areas, pollutants, vehicle operating
characteristics, and road types for the particular scenario to be modeled by creating a Run
Specification (RunSpec).
In order to calculate vehicle emissions for the calendar year 2014, MOVES2014a was executed
using local input data for each geographical area (Maricopa County and the PM10 nonattainment
area). Each scenario was created using the county scale setting and the inventory calculation
type. The specific MOVES2014a model RunSpec and RunSpec summaries are described in
Appendix C.
5.2.2

Local input data used with the MOVES2014a model

MOVES2014a requires local data such as the presence of inspection and maintenance (I/M)
programs, meteorological data, vehicle populations, source type age distribution, annual vehicle
miles traveled (VMT), monthly/daily/hourly fractions, road type distribution, average speed
distribution, ramp fraction, fuel data, and alternative vehicle and fuel technologies (AVFT).
5.2.2.1

Fuel data

Regarding the fuel local input data, MOVES2014a provides three MOVES tables, which are
[fuelsupply], [fuelformulation], and [fuelusagefraction]. The fuel data for each month were
derived from the 2014 fuel inspection results in Maricopa County provided by ADWM. The fuel
data for Maricopa County were also applied to the PM10 nonattainment area. The specific
MOVES tables for fuel data are presented in Appendix C.
5.2.2.2

I/M programs

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84

Maricopa County, AZ • September 2016

MOVES2014a has an [IMCoverage] table for I/M programs, which reflects the actual proportions of vehicles subject to the specified levels of inspection. The term “I/M vehicles” denotes
vehicles which are required to undergo an emission test and/or inspection under the Vehicle
Inspection/Maintenance Program. It is important to note that participation in the I/M program is
required for all vehicles registered in the Area A, with the exception of certain model years and
vehicle classes. However, it is assumed that 91.6 percent of the vehicles operating within
Maricopa County and the PM10 nonattainment area participate in the I/M program, while the
remaining 8.4 percent do not participate in the program. These percentages reflect the control
measures “Tougher Enforcement of Vehicle Registration and Emissions Test Compliance” and
“Expansion of Area A Boundaries,” described in the MAG Eight-Hour Ozone Redesignation
Request and Maintenance Plan for the Maricopa Nonattainment Area (MAG, 2009). This
percentage is directly applied to the Compliance Factor in the [IMCoverage] table. The same
I/M programs were applied for Maricopa County and the PM10 nonattainment area. The specific
MOVES table for I/M programs is presented in Appendix C.
5.2.2.3

Meteorological data

MOVES2014a requires hourly temperature and relative humidity data by specific month of the
year. Meteorological data for the Phoenix Sky Harbor International Airport in 2014 were
obtained from the National Climatic Data Center (http://www.ncdc.noaa.gov/IPS/lcd/lcd.html).
The same hourly average temperature and relative humidity data for each month were applied for
Maricopa County and the PM10 nonattainment area. The specific MOVES table
[ZoneMonthHour] for meteorological data is presented in Appendix C.
5.2.2.4

Vehicle population

In MOVES2014a, off-network emissions including start, evaporative, and extended idle
emissions are directly determined by population of vehicles in an area. The vehicle population in
Maricopa County was obtained from the July 2014 vehicle registration data provided by ADOT.
The vehicle population data were allocated to the 13 MOVES source types based on MOVES
default vehicle population fractions for Maricopa County in 2014. The vehicle population in the
PM10 nonattainment area was estimated by applying the population ratio of the two geographical
areas to the vehicle population in Maricopa County. The population ratio for 2014 was derived
from the MAG socioeconomic data, which are 3,998,000 people for the PM10 nonattainment area
and 3,989,980 people for Maricopa County. The specific MOVES table [SourceTypeYear] for
vehicle population is presented in Appendix C.
5.2.2.5

Source type age distribution

MOVES2014a categorizes vehicles according to vehicle classes and model years. The source
type age distribution input table was prepared using EPA MOVES data converter and the vehicle
registration data from ADOT. The same source type age distribution was applied for Maricopa
County and the PM10 nonattainment area. The specific MOVES table
[SourceTypeAgeDistribution] for source type age distribution is presented in Appendix C.

2014 Periodic Emissions Inventory for PM10

85

Maricopa County, AZ • September 2016

5.2.2.6

Annual VMT

The 2014 annual VMTs were used to estimate onroad exhaust and evaporative emissions. The
2014 annual average daily VMTs by HPMS vehicle type for Maricopa County and the PM10
nonattainment area were derived from the 2014 traffic assignment data provided by the MAG
Transportation Modeling Group in July 2015. The annual average daily VMTs were multiplied
by 365 days to obtain the annual VMTs. The specific MOVES table [HPMSvTypeYear] for
annual VMT is presented in Appendix C.
5.2.2.7

Road type distribution

MOVES2014a requires the distribution of VMTs by road type as a local input. The road type
VMT distribution by HPMS vehicle type was derived with the 2014 traffic assignment data and
the MOVES default VMT fractions for the HPMS vehicle types. MOVES source types
belonging to the same HPMS vehicle class applied the same road type distribution assigned for
the HPMS vehicle class. The specific MOVES table [RoadTypeDistribution] for road type
distribution is presented in Appendix C.
5.2.2.8

VMT fraction

Since VMT varies by month, day of week, and hour, MOVES2014a requires month/day/hour
VMT fractions as a local input in order to derive hourly VMT for each weekday/weekend and
month from the annual VMT. The month/day/hour VMT fractions were developed from data
recorded by continuous traffic counters on freeways (ADOT Freeway Management System) and
arterials (Phoenix Automatic Traffic Recorders) in 2007. The specific MOVES tables
[MonthVMTFraction], [DayVMTFraction], and [HourVMTFraction] for VMT fractions are
presented in Appendix C.
5.2.2.9

Average speed distribution

In MOVES2014a, vehicle power, speed, and acceleration have a significant effect on vehicle
emissions for all pollutants. MOVES2014a estimates those emission effects by assigning
activity to operating mode distributions, which are determined by the distribution of vehicle
hours traveled (VHT) in sixteen speed bins. Local estimates of average speed were developed by
post-processing the output from the 2014 traffic assignment data. To develop the average speed
distribution, VHTs in sixteen speed bins were accumulated separately for each hour of the day,
source type, and road type in Maricopa County. Then, the average speed distribution was
calculated by normalizing VHTs in sixteen speed bins for each hour of the day, source type, and
road type. The same methodology was applied to develop the speed estimates for the PM10
nonattainment area. The specific MOVES table [AvgSpeedDistribution] for the average speed
distribution is presented in Appendix C.
5.2.2.10 Ramp fraction
MOVES2014a requires the ramp fraction, which represents the percent of vehicle hours traveled
(VHT) on ramps, on both rural restricted roads (road type 2) and urban restricted roads (road
type 4). The fraction of VHT on ramps was derived by dividing the total VHTs on ramps by the

2014 Periodic Emissions Inventory for PM10

86

Maricopa County, AZ • September 2016

total VHTs for each restricted road type. Those VHTs were obtained from the 2014 traffic
assignment. The specific MOVES table [RoadType] for ramp fractions is shown in Appendix C.
5.2.2.11 Alternative vehicle and fuel technologies (AVFT) strategy
MOVES2014a allows users to modify the fuel engine fraction using different fuels and technologies in each model year in order to reflect the local situation. The fleet information for
transit buses was provided by Valley Metro and used to prepare the AVFT input. Since the fleet
data are available only for specific model years, MOVES2014a default values were obtained
from the [fuelEngFraction] table in the MOVES default database and used for the rest of the
model years. The specific MOVES table [AVFT] for AVFT strategy is shown in Appendix C.
5.2.2.12 Stage II refueling control programs
To account for the impact of Stage II refueling control programs on refueling losses,
MOVES2014a requires the control efficiency for the local area. The control efficiency for the
refueling displacement vapor losses in 2014 were provided by Arizona Department of Weights
and Measures. The same program efficiency of 66.1% was applied to Maricopa County and the
PM10 nonattainment area. The specific MOVES table [CountyYear] for Stage II refueling
control programs is presented in Appendix C.
5.2.3

MOVES2014a outputs

MOVES2014a was executed with the RunSpec files described in Appendix C to obtain exhaust,
tire wear, and brake wear emissions for PM10, PM2.5, NOx, SO2, and NH3. These values were
obtained for the following categories:
•

•

5.2.4

Source types: motorcycle, passenger car, passenger truck, light commercial truck,
intercity bus, transit bus, school bus, refuse truck, single unit short-haul truck, single unit
long-haul truck, motor home, combination short-haul truck, and combination long-haul
truck.
Road types: off-network, rural restricted access, rural unrestricted access, urban restricted
access, and urban unrestricted access.
MOVES2014a emission estimates

MOVES2014a was used to generate onroad emissions by vehicle class, facility type, weekday/
weekend day, and month. By specifying the output time aggregate level as month,
MOVES2014a produces monthly emissions including weekday and weekend emissions for a
given month. The annual emissions were calculated by aggregating monthly onroad emissions
derived by MOVES2014a. The average daily emissions were calculated by dividing the annual
emissions by 365 days.
Tables 5.2–1 and 5.2–2 show the calculated annual and typical daily PM10, PM2.5, NOx, SO2, and
NH3 emissions by road type and source type in Maricopa County and the PM10 nonattainment
area, respectively. Emission estimates for PM10 and PM2.5 in these tables represent exhaust, tire
wear, and brake wear emissions.
2014 Periodic Emissions Inventory for PM10

87

Maricopa County, AZ • September 2016

Table 5.2–1. Annual and average daily onroad mobile source emissions in Maricopa
County, by road and source type.
Road type

Source type
Motorcycle
Passenger car
Passenger truck
Light commercial truck
Intercity bus
Transit bus
OffSchool bus
Network
Refuse truck
Single unit short-haul truck
Single unit long-haul truck
Motor home
Combo short-haul truck
Combo long-haul truck
Motorcycle
Passenger car
Passenger truck
Light commercial truck
Intercity bus
Transit bus
Rural
Restricted School bus
Access
Refuse truck
Single unit short-haul truck
Single unit long-haul truck
Motor home
Combo short-haul truck
Combo long-haul truck
Motorcycle
Passenger car
Passenger truck
Light commercial truck
Intercity bus
Transit bus
Rural
Unrestricted School bus
Access
Refuse truck
Single unit short-haul truck
Single unit long-haul truck
Motor home
Combo short-haul truck
Combo long-haul truck

Annual emissions (tons/year) Average daily emissions (lbs/day)
PM10 PM2.5 NOx SO2 NH3 PM10 PM2.5 NOx
SO2
NH3
0.1
0.1
2.9 0.0 0.0
0
0
16
0
0
47.2 41.8 3,947.7 3.6 0.0 259 229 21,635
20
0
19.1 16.9 1,785.2 1.1 0.0 105
93 9,784
6
0
5.1
4.5 494.5 0.3 0.0
28
25 2,710
2
0
0.0
0.0
0.1 0.0 0.0
0
0
0
0
0
0.0
0.0
0.0 0.0 0.0
0
0
0
0
0
0.2
0.1
2.3 0.0 0.0
1
1
13
0
0
0.0
0.0
0.1 0.0 0.0
0
0
1
0
0
0.9
0.8
88.0 0.1 0.0
5
5
482
0
0
0.0
0.0
2.3 0.0 0.0
0
0
13
0
0
0.0
0.0
4.9 0.0 0.0
0
0
27
0
0
0.1
0.1
0.0 0.0 0.0
1
1
0
0
0
27.3 25.1 2,030.6 0.7 5.6 150 138 11,129
4
31
0.2
0.1
4.8 0.0 0.3
1
1
26
0
2
4.4
3.9 225.5 2.5 20.5
24
21 1,236
14
112
1.9
1.7 154.9 0.9 6.3
10
9
849
5
34
0.6
0.6
40.1 0.2 1.5
3
3
220
1
8
0.5
0.5
15.3 0.0 0.0
3
3
84
0
0
0.4
0.4
24.2 0.0 0.1
2
2
133
0
1
1.5
1.4
37.8 0.1 0.2
8
8
207
1
1
0.5
0.5
15.4 0.0 0.1
3
3
84
0
0
6.3
5.8 153.0 0.5 1.5
35
32
839
3
8
0.3
0.3
8.2 0.0 0.1
2
2
45
0
1
0.2
0.2
5.7 0.0 0.1
1
1
31
0
0
13.8 12.7 431.8 1.3 2.0
76
70 2,367
7
11
39.8 36.6 1,172.9 3.0 4.5 218 201 6,428
17
25
0.4
0.3
12.8 0.1 0.7
2
2
70
0
4
8.1
7.2 502.1 6.7 45.8
44
39 2,752
37
251
3.6
3.2 324.1 2.3 13.7
20
17 1,776
13
75
1.4
1.3
90.1 0.6 3.3
8
7
494
3
18
0.3
0.3
6.8 0.0 0.0
2
2
37
0
0
0.2
0.1
9.1 0.0 0.0
1
1
50
0
0
0.8
0.8
13.9 0.0 0.1
5
4
76
0
0
0.9
0.8
19.1 0.1 0.1
5
5
105
0
0
9.9
9.1 204.3 0.7 2.0
54
50 1,120
4
11
0.5
0.5
11.1 0.0 0.1
3
3
61
0
1
0.2
0.2
6.5 0.0 0.1
1
1
36
0
0
4.6
4.3 109.2 0.3 0.5
25
23
598
2
3
13.2 12.2 300.8 0.7 1.2
72
67 1,649
4
7

2014 Periodic Emissions Inventory for PM10

88

Maricopa County, AZ • September 2016

Table 5.2–1. Annual and average daily onroad mobile source emissions in Maricopa
County, by road and source type (continued).
Road type

Source type
Motorcycle
Passenger car
Passenger truck
Light commercial truck
Intercity bus
Transit bus
Urban
Restricted School bus
Access
Refuse truck
Single unit short-haul truck
Single unit long-haul truck
Motor home
Combo short-haul truck
Combo long-haul truck
Motorcycle
Passenger car
Passenger truck
Light commercial truck
Intercity bus
Transit bus
Urban
Unrestricted School bus
Access
Refuse truck
Single unit short-haul truck
Single unit long-haul truck
Motor home
Combo short-haul truck
Combo long-haul truck

Summary, all road types:

Motorcycle
Passenger car
Passenger truck
Light commercial truck
Intercity bus
Transit bus
School bus
Refuse truck
Single unit short-haul truck
Single unit long-haul truck
Motor home
Combo short-haul truck
Combo long-haul truck

Annual emissions (tons/year)
Average daily emissions (lbs/day)
PM10 PM2.5
NOx SO2 NH3 PM10 PM2.5 NOx
SO2 NH3
2.4
2.1
54.0
0.3
3.1
13
12
296
2
17
79.8 70.6 3,150.3 36.0 277.3 437 387 17,265 197 1,520
34.7 30.9 2,102.2 12.6 84.3 190 169 11,521
69 462
10.3
9.3 543.9
3.1 20.0
57
51 2,981
17 109
1.9
1.7
43.8
0.1
0.1
10
9
240
0
1
1.3
1.2
71.7
0.1
0.3
7
7
393
1
2
5.3
4.9 112.9
0.3
0.5
29
27
619
1
3
6.5
6.0 156.1
0.4
0.7
36
33
856
2
4
79.3 72.7 1,776.2
6.4 16.1 435 398 9,735
35
88
4.4
4.0
97.7
0.4
1.0
24
22
535
2
6
2.4
2.2
62.0
0.2
0.6
13
12
340
1
3
31.0 28.6 811.4
2.4
3.7 170 157 4,447
13
20
89.1 81.9 2,205.7
5.6
8.4 488 449 12,088
31
46
2.4
2.1
72.7
0.5
3.9
13
11
399
3
21
67.9 60.1 4,131.7 58.9 367.6 372 329 22,644 323 2,014
30.6 27.3 2,578.9 20.0 106.3 168 150 14,133 110 582
12.4 11.2 732.6
5.0 25.9
68
62 4,015
27 142
2.2
2.0
37.6
0.1
0.1
12
11
206
0
0
0.7
0.7
39.6
0.1
0.2
4
4
217
0
1
4.6
4.2
68.3
0.2
0.3
25
23
374
1
2
6.7
6.2 123.1
0.3
0.4
37
34
674
2
2
66.5 61.2 1,347.8
4.7 10.7 365 335 7,387
26
59
3.5
3.2
73.1
0.3
0.7
19
18
401
2
4
1.5
1.4
40.1
0.2
0.4
8
8
220
1
2
21.3 19.6 412.3
1.2
1.6 117 108 2,260
6
9
61.4 56.5 1,115.5
2.8
3.6 337 310 6,113
15
20

2.4
67.9
30.6
12.4
2.2
0.7
4.6
6.7
66.5
3.5
1.5
21.3
61.4

2014 Periodic Emissions Inventory for PM10

2.1
60.1
27.3
11.2
2.0
0.7
4.2
6.2
61.2
3.2
1.4
19.6
56.5

72.7
4,131.7
2,578.9
732.6
37.6
39.6
68.3
123.1
1,347.8
73.1
40.1
412.3
1,115.5

89

0.5
3.9
58.9 367.6
20.0 106.3
5.0 25.9
0.1
0.1
0.1
0.2
0.2
0.3
0.3
0.4
4.7 10.7
0.3
0.7
0.2
0.4
1.2
1.6
2.8
3.6

13
372
168
68
12
4
25
37
365
19
8
117
337

11
399
329 22,644
150 14,133
62 4,015
11
206
4
217
23
374
34
674
335 7,387
18
401
8
220
108 2,260
310 6,113

3
21
323 2,014
110 582
27 142
0
0
0
1
1
2
2
2
26
59
2
4
1
2
6
9
15
20

Maricopa County, AZ • September 2016

Table 5.2–2. Annual and average daily onroad mobile source emissions in the PM10
nonattainment area, by road and source type.

Annual emissions (tons/year) Average daily emissions (lbs/day)
Source type
PM10 PM2.5 NOx SO2 NH3 PM10 PM2.5 NOx
SO2
NH3
Motorcycle
0.1
0.1
3.0 0.0 0.0
0
0
16
0
0
Passenger car
47.2 41.8 3,948.5 3.6 0.0 259 229 21,640
20
0
Passenger truck
19.1 16.9 1,787.0 1.1 0.0 105
93 9,793
6
0
Light commercial truck
5.1
4.5 495.0 0.3 0.0
28
25 2,713
2
0
Intercity bus
0.0
0.0
0.1 0.0 0.0
0
0
0
0
0
Transit bus
0.0
0.0
0.0 0.0 0.0
0
0
0
0
0
OffSchool bus
0.2
0.1
2.3 0.0 0.0
1
1
13
0
0
Network
Refuse truck
0.0
0.0
0.1 0.0 0.0
0
0
1
0
0
Single unit short-haul truck 0.9
0.8
88.4 0.1 0.0
5
5
484
0
0
Single unit long-haul truck
0.0
0.0
2.3 0.0 0.0
0
0
13
0
0
Motor home
0.0
0.0
4.9 0.0 0.0
0
0
27
0
0
Combo short-haul truck
0.1
0.1
0.0 0.0 0.0
1
1
0
0
0
Combo long-haul truck
5.9
5.4 430.8 0.2 1.2
32
30 2,361
1
7
Motorcycle
0.1
0.1
2.7 0.0 0.2
1
1
15
0
1
Passenger car
3.0
2.7 141.8 1.6 12.7
17
15
777
9
69
Passenger truck
1.3
1.2
96.7 0.6 3.9
7
6
530
3
21
Light commercial truck
0.4
0.4
24.9 0.1 0.9
2
2
136
1
5
Intercity bus
0.1
0.1
3.2 0.0 0.0
1
1
18
0
0
Transit bus
0.1
0.1
5.2 0.0 0.0
1
0
28
0
0
Rural
0.3
0.3
8.2 0.0 0.0
2
2
45
0
0
Restricted School bus
Access
Refuse truck
0.3
0.2
7.5 0.0 0.0
2
1
41
0
0
Single unit short-haul truck 3.2
2.9
77.5 0.3 0.7
18
16
425
2
4
Single unit long-haul truck
0.2
0.2
4.2 0.0 0.1
1
1
23
0
0
Motor home
0.1
0.1
2.8 0.0 0.0
1
1
16
0
0
Combo short-haul truck
3.0
2.8
91.1 0.3 0.4
17
15
499
2
2
Combo long-haul truck
8.8
8.1 247.3 0.6 0.9
48
44 1,355
4
5
Motorcycle
0.3
0.2
9.9 0.1 0.5
2
1
54
0
3
Passenger car
6.6
5.8 404.0 5.5 36.7
36
32 2,214
30
201
Passenger truck
2.9
2.6 259.6 1.9 10.9
16
14 1,423
10
60
Light commercial truck
1.2
1.0
72.4 0.5 2.6
6
6
397
3
15
Intercity bus
0.2
0.2
3.7 0.0 0.0
1
1
20
0
0
Transit bus
0.1
0.1
4.6 0.0 0.0
1
0
25
0
0
Rural
Unrestricted School bus
0.4
0.4
7.2 0.0 0.0
2
2
40
0
0
Access
Refuse truck
0.7
0.6
13.4 0.0 0.1
4
3
73
0
0
Single unit short-haul truck 6.9
6.4 143.3 0.5 1.4
38
35
785
3
7
Single unit long-haul truck
0.4
0.3
7.8 0.0 0.1
2
2
43
0
1
Motor home
0.2
0.2
4.5 0.0 0.1
1
1
25
0
0
Combo short-haul truck
2.6
2.4
59.2 0.2 0.3
15
13
325
1
2
Combo long-haul truck
7.6
7.0 162.7 0.4 0.6
41
38
892
2
3

Road type

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Maricopa County, AZ • September 2016

Table 5.2–2. Annual and average daily onroad mobile source emissions in the PM10
nonattainment area, by road and source type (continued).
Road type

Source type
Motorcycle
Passenger car
Passenger truck
Light commercial truck
Intercity bus
Transit bus
Urban
Restricted School bus
Access
Refuse truck
Single unit short-haul truck
Single unit long-haul truck
Motor home
Combo short-haul truck
Combo long-haul truck
Motorcycle
Passenger car
Passenger truck
Light commercial truck
Intercity bus
Transit bus
Urban
Unrestricted School bus
Access
Refuse truck
Single unit short-haul truck
Single unit long-haul truck
Motor home
Combo short-haul truck
Combo long-haul truck

5.3

Annual emissions (tons/year)
Average daily emissions (lbs/day)
PM10 PM2.5
NOx SO2 NH3 PM10 PM2.5 NOx
SO2 NH3
2.4
2.1
54.3
0.3
3.1
13
12
298
2
17
80.4 71.2 3,171.3 36.3 279.0 441 390 17,380 199 1,529
35.0 31.1 2,117.6 12.7 84.8 192 171 11,605
70 465
10.4
9.3 547.8
3.1 20.1
57
51 3,002
17 110
1.9
1.7
44.0
0.1
0.1
10
9
241
0
1
1.3
1.2
72.0
0.1
0.3
7
7
395
1
2
5.3
4.9 113.5
0.3
0.5
29
27
622
1
3
6.5
6.0 157.4
0.4
0.7
36
33
863
2
4
79.7 73.0 1,786.1
6.4 16.2 437 400 9,788
35
89
4.4
4.0
98.2
0.4
1.0
24
22
538
2
6
2.4
2.2
62.3
0.2
0.6
13
12
341
1
3
31.2 28.7 814.7
2.4
3.7 171 157 4,465
13
20
89.5 82.3 2,215.8
5.6
8.5 490 451 12,143
31
46
2.4
2.1
73.3
0.5
3.9
13
12
402
3
21
68.3 60.5 4,158.5 59.3 370.0 374 331 22,791 325 2,028
30.8 27.5 2,598.0 20.1 107.1 169 151 14,238 110 587
12.5 11.3 738.0
5.0 26.1
69
62 4,045
28 143
2.2
2.1
37.7
0.1
0.1
12
11
207
0
0
0.7
0.7
39.7
0.1
0.2
4
4
218
0
1
4.6
4.2
68.5
0.2
0.3
25
23
376
1
2
6.8
6.2 123.9
0.3
0.4
37
34
679
2
2
66.8 61.4 1,352.9
4.7 10.8 366 337 7,414
26
59
3.5
3.3
73.4
0.3
0.7
19
18
402
2
4
1.5
1.4
40.2
0.2
0.4
8
8
220
1
2
21.4 19.7 413.4
1.2
1.6 117 108 2,266
6
9
61.6 56.7 1,118.9
2.8
3.6 338 311 6,132
15
20

Fugitive dust emissions

While exhaust, tire wear, and brake wear emissions were calculated using the EPA
MOVES2014a model, fugitive dust emissions from paved and unpaved roads were calculated
using the equations found in sections 13.2.1 and 13.2.2 of the EPA Compilation of Air Pollutant
Emission Factors, AP-42 (US EPA, 2006). The new AP-42 equation published by EPA in
January 2011 has been applied to estimate the PM10 and PM2.5 emissions from paved roads.
5.3.1

Paved road fugitive dust emissions

In the AP-42 equation, paved road emissions are a function of silt loading values and the average
weight of vehicles traveling on paved road surfaces. Paved roads have been classified as
freeways, high-traffic arterials, and low-traffic arterials to reflect different silt loading
assumptions. An arterial carrying a traffic volume of less than 10,000 vehicles per average
weekday is classified as low-traffic; all other roads that are not freeways are classified as hightraffic arterials. The silt loading levels, in grams per square meter, are 0.02 for freeways, 0.067
for high-traffic arterials, and 0.23 for low-traffic arterials. The silt loadings were derived from
paved road samples collected in Maricopa County by an EPA contractor (US EPA, 1993). The
average vehicle weights were derived from 2014 vehicle registrations for Maricopa County
provided by the ADOT. The fugitive dust emission factors for paved roads were derived by
applying the following AP-42 equation:
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91

Maricopa County, AZ • September 2016

𝐸𝐸 = 𝑘𝑘 × 𝑠𝑠𝑠𝑠0.91 × 𝑊𝑊 1.02 × (1 − 𝑃𝑃⁄4𝑁𝑁 )

where: E = annual average particulate emission factor (g/mile),
k = particle size multiplier for particle size range (1.0 g/mile for PM10 and 0.25 g/mile
for PM2.5),
sL = road surface silt loading (0.02 g/m2 for freeways, 0.067 g/m2 for high-traffic
arterials, and 0.23 g/m2 for low-traffic arterials),
W = average weight of the vehicles traveling on the roads (3.25 tons on freeways and
2.38 tons on arterials),
P = annual number of “wet” days with at least 0.254 mm (0.01 in) of precipitation (22
days in 2014), and
N = annual number of days (365 days in 2014).
To determine the value of P, precipitation data for 2014 were obtained from National Oceanic
and Atmospheric Administration (NOAA) in the form of local climatological data at Phoenix
Sky Harbor Airport. The annual average PM10 and PM2.5 emission factors for paved roads
derived from the AP-42 equation are presented in Table 5.3–1.
The 2014 VMTs by silt loading category were used to estimate paved road fugitive dust
emissions. Daily VMTs by silt loading category for Maricopa County and the PM10
nonattainment area are shown in Table 5.3–2. The VMTs were derived by applying geographic
information systems (GIS) to a 2014 traffic assignment output by the MAG travel demand
model, TransCAD. The 2014 weekday traffic volumes output by TransCAD were normalized to
2014 VMTs for Maricopa County and the PM10 nonattainment area to produce the annual
average daily VMTs by silt loading category shown in Table 5.3–2.
Table 5.3–1. Fugitive dust emission factors for paved roads.
Emission factors (g/mile)
Silt loading category
PM10
PM2.5
Freeways
0.09
0.02
High-traffic arterials
0.20
0.05
Low-traffic arterials
0.63
0.16
Table 5.3–2. Annual vehicle miles traveled (VMT) for paved roads, by silt loading
category.
Daily VMT
Silt loading category
Maricopa County
PM10 NAA
Freeways
37,194,608
35,914,038
High-traffic arterials
36,810,445
36,810,974
Low-traffic arterials
15,284,107
14,331,400
Totals:
89,289,160
87,056,412
Applying the emission factors in Table 5.3–1 to the VMTs in Table 5.3–2 and converting to
pounds per day produces the 2014 uncontrolled particulate emissions from paved roads for
Maricopa County and the PM10 nonattainment area, shown in Table 5.3–3. These uncontrolled

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92

Maricopa County, AZ • September 2016

emissions do not include the 2014 emission reductions attributed to PM10-certified street
sweepers in the MAG 2012 Five Percent Plan for PM10 (MAG, 2012).
Table 5.3–3. Daily uncontrolled fugitive dust emissions from paved roads in 2014.
Maricopa County (lbs/day)
PM10 NAA (lbs/day)
Silt loading category
PM10
PM2.5
PM10
PM2.5
Freeways
7,380
1,640
7,126
1,584
High-traffic arterials
16,231
4,058
16,231
4,058
Low-traffic arterials
21,228
5,391
19,905
5,055
Totals:
44,839
11,089
43,261
10,696
The MAG 2012 Five Percent Plan includes emission reduction credit for 78 PM10-certified street
sweepers purchased by December 31, 2006 with MAG Congestion Mitigation and Air Quality
Improvement (CMAQ) funds, that were still in service on December 31, 2009. Reductions for
the sweepers purchased by December 31, 2006 were also applied to base case uncontrolled
paved road emissions in the MAG 2012 Five Percent Plan. The PM10 emission reduction benefit
of these 78 sweepers is 5,097.2 pounds per day (lbs/day) in 2010. In 2014, this benefit is
increased to 5,291.7 lbs/day, based on the 3.815 percent growth in arterial VMT in the PM10
nonattainment area between 2010 and 2014.
In addition, the MAG 2012 Five Percent Plan contains contingency measures implemented in
2007-2011 that reduce paved road emissions. These measures include Arizona Department of
Transportation (ADOT) contracted PM10-certified street sweeping of freeways and frontage
roads (1,868.4 lbs/day), projects completed by local governments in 2008-2011 that paved and
stabilized unpaved shoulders (822.0 lbs/day), ADOT overlays of state highways with rubberized
asphalt (14.3 lbs/day), and 22 additional PM10-certified street sweepers purchased with CMAQ
funds in 2007–2009. The benefit of the 22 PM10-certified street sweepers is increased from
767.1 lbs/day to 796.4 lbs/day, using the 3.815 percent growth in arterial VMT in the PM-10
nonattainment area between 2010 and 2014.
The total reduction of 8,792.8 pounds per day was subtracted from the uncontrolled PM10
emissions shown in Table 5.3–3 for both Maricopa County and the PM10 nonattainment area.
This emission reduction represents 20.3 percent of the uncontrolled PM10 emissions of 43,261.4
pounds per day in the PM10 nonattainment area. This percent reduction was applied to the
uncontrolled PM2.5 emissions in the PM10 nonattainment area and the absolute reduction in PM2.5
emissions was then applied to the uncontrolled PM2.5 emissions in Maricopa County. The
resultant controlled emissions in tons per year and pounds per day are shown in Table 5.3–4.
Table 5.3–4. Annual and average daily controlled fugitive dust emissions from paved
roads.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
6,578.3
1,627.4
36,046
8,918
PM10 nonattainment area
6,290.5
1,555.8
34,469
8,525

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93

Maricopa County, AZ • September 2016

5.3.2

Unpaved road fugitive dust emissions

AP-42 emission factors were applied to unpaved road and alley VMTs to estimate fugitive dust
emissions (US EPA, 2006). The unpaved road and alley particulate emission factors were
derived from the following AP-42 equation for publicly accessible unpaved roads, assuming a
silt content of 11.9%, a soil moisture content of 0.5%, and an average speed of 25 miles per hour
on public unpaved roads, 20 miles per hour on private unpaved roads and 10 miles per hour on
unpaved alleys:
𝑠𝑠 1 𝑆𝑆 0.5
𝑘𝑘 �12� �30�
𝑃𝑃
𝐸𝐸 = �
− 𝐶𝐶� �1 − �
0.2
𝑁𝑁
𝑀𝑀
� �
0.5

where: E = annual average particulate emission factor extrapolated for natural mitigation
(lb/mile),
k = particle size multiplier for particle size range (1.8 lb/mile for PM10 and 0.18 lb/mile
for PM2.5),
s = surface material silt content (11.9%),
S = mean vehicle speed (25 mph for public unpaved roads, 20 mph for private unpaved
roads and 10 mph for unpaved alleys),
M = surface material moisture content (0.5%),
C = emission factor for 1980's vehicle fleet exhaust, brake wear and tire wear (0.00047
lb/mile for PM10 and 0.00036 lb/mile for PM2.5),
P = annual number of “wet” days with at least 0.254 mm (0.01 in) of precipitation (22
days in 2014), and
N = annual number of days (365 days in 2014).
The public unpaved road emission factors resulting from the above equation are 1.5308 pounds
per mile for PM10 and 0.1528 pounds per mile for PM2.5. The private unpaved road emission
factors are 1.3692 pounds per mile for PM10 and 0.1366 pounds per mile for PM2.5. The unpaved
alley emission factors are 0.9680 pounds per mile for PM10 and 0.0965 pounds per mile for
PM2.5. These unpaved road and alley emission factors are consistent with the assumptions used
in the MAG 2012 Five Percent Plan (MAG, 2012). These factors were applied to the annual
average daily 2014 VMT estimates shown in Table 5.3–5.
The 2014 VMT for public unpaved roads in the PM10 nonattainment area was derived from the
MAG 2009 Unpaved Road Inventory (MAG, 2010). The 2014 VMT for private unpaved roads
in the PM10 nonattainment area was derived from a study of private unpaved roads and alleys
conducted by MAG in August-September 2011 (MAG, 2011). The 2014 VMT for unpaved
alleys was derived by multiplying a MAG GIS-derived estimate of 650 miles of dirt alleys by an
annual average daily traffic (AADT) estimate of 4 vehicles per day. The AADT for alleys was
also derived from the 2011 MAG study referenced above.
The 2014 Maricopa County VMT on unpaved roads and alleys was obtained by applying a ratio
of 1.02564713 to the PM10 nonattainment area VMT in Table 5.3–5. This ratio represents 2014
VMT on all roads in Maricopa County to 2014 VMT on all roads in the PM10 nonattainment
area, as shown in Table 5.3–6.

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Maricopa County, AZ • September 2016

Table 5.3–5. Annual vehicle miles traveled (VMT) on unpaved roads in Maricopa County
and the PM10 nonattainment area, by road ownership type.
2014 annual average daily VMT
Unpaved public
Unpaved private
Geographic area
roads
roads
Unpaved alleys
Maricopa County
12,448
24,795
2,667
PM10 nonattainment area
12,137
24,175
2,600
Table 5.3–6. Annual vehicle miles traveled (VMT) on all roads in Maricopa County and
the PM10 nonattainment area.
2014 annual average
Ratio to 2014 annual average
Geographic area
daily VMT
daily VMT in the PM10 NAA
Maricopa County
89,289,160
1.02564713
PM10 nonattainment area
87,056,413
1.00000000
Multiplying the unpaved road emission factors by the VMTs in Table 5.3–5 results in the
emissions shown in Table 5.3–7. These uncontrolled emissions do not include the emission
reductions attributable to contingency measures in the MAG 2012 Five Percent Plan for PM10
that were implemented by 2011. In addition, the uncontrolled emissions do not include credit for
paving projects in the MAG Transportation Improvement Program (TIP) that were implemented
in 2012 and 2013.
Table 5.3–7. Daily uncontrolled unpaved road and alley fugitive dust emissions.
PM10 (lbs/day)
PM2.5 (lbs/day)
Geographic area Unpaved Roads Unpaved Alleys Unpaved Roads Unpaved Alleys
Maricopa County
53,005
2,582
5,289
257
PM10 NAA
51,680
2,517
5,157
251
The MAG 2012 Five Percent Plan (MAG, 2012) identifies a large number of projects that were
implemented in 2008–2011 to pave and reduce speed limits on unpaved roads and alleys in the
PM10 nonattainment area (MAG, 2012). In 2014, the total PM10 emission reduction credit for
these projects is 15,270.3 pounds per day. In addition to the benefits in the MAG 2012 Five
Percent Plan, the total PM10 emission reduction for unpaved roads needs to include credit for
CMAQ-funded road and alley paving projects and other paving projects in the MAG FY11–18
TIP that were implemented by the end of 2013. This additional emission reduction for CMAQ
and TIP paving projects is 4,199.9 pounds per day for 2014. The total unpaved road emission
reduction of 19,470.2 pounds per day was subtracted from the total uncontrolled unpaved road
and alley PM10 emissions shown in Table 5.3–7 for both Maricopa County and the PM10
nonattainment area. This reduction represents 35.9 percent of the total uncontrolled unpaved
road and alley emissions of 54,196.5 pounds per day in the PM10 nonattainment area. This 35.9
percent reduction was applied to the uncontrolled PM2.5 emissions in the PM10 nonattainment
area and the absolute reduction in PM2.5 emissions was then applied to the uncontrolled PM2.5
emissions in Maricopa County. The resultant controlled unpaved road and alley emissions in
tons per year and pounds per day are shown in Table 5.3–8.

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95

Maricopa County, AZ • September 2016

Table 5.3–8. Annual and average daily controlled fugitive dust emissions from unpaved
roads and alleys for Maricopa County and the PM10 nonattainment area.
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Geographic area
PM10
PM2.5
PM10
PM2.5
Maricopa County
6,591.2
657.9
36,116
3,605
PM10 nonattainment area
6,337.6
632.6
34,726
3,466
5.4

Quality assurance process

5.4.1

VMT estimates

Normal quality assurance procedures, including automated and manual consistency checks, were
conducted by MAG in developing the 2014 TransCAD traffic assignment network used to
generate the VMT data. The VMT estimates using the MAG travel demand model have been
validated by the MAG transportation modeling group.
5.4.2

Emission estimates

The quality assurance process performed on the MOVES2014a analyses included accuracy,
completeness, and reasonableness checks. For accuracy and completeness, all calculations were
checked by an independent reviewer. Any errors found were corrected and the changes were
then rechecked by the reviewer.
5.4.3

Draft particulate matter emissions inventory

The draft onroad mobile source portion of the 2014 periodic emissions inventory for PM10 was
reviewed using published EPA quality review guidelines for base year emission inventories (US
EPA, 1992b). The procedure review (Levels I, II, and III) included checks for completeness,
consistency, and the correct use of appropriate procedures.
5.5

Summary of all onroad mobile source emissions

Table 5.5–1 summarizes the annual emissions and the average daily emissions for PM10, PM2.5,
NOx, SO2, and NH3 from all onroad mobile sources in Maricopa County in 2014. Similar data
for the PM10 nonattainment area are presented in Table 5.5–2.
Table 5.5–1. Annual and typical daily emissions from all onroad mobile sources in
Maricopa County.

Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Emission category
PM10
PM2.5
NOx
SOx
NH3
PM10
PM2.5
NOx
SOx
NH3
Exhaust, tire wear
844.6
765.7 34,219.1 187.7 1,047.6 4,629
4,196 187,536 1,029 5,742
and brake wear
Paved road
6,578.3 1,627.4
—
—
—
36,046
8,918
—
—
—
fugitive dust
Unpaved road and
6,591.2
657.9
—
—
—
36,116
3,605
—
—
—
alley fugitive dust
Totals:
14,014.2 3,051.1 34,219.1 187.7 1,047.6 76,791 16,719 187,536 1,029 5,742

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96

Maricopa County, AZ • September 2016

Table 5.5–2. Annual and typical daily emissions from all onroad mobile sources in the
PM10 nonattainment area.

Annual emissions (tons/yr)
Typical daily emissions (lbs/day)
Emission category
PM10
PM2.5
NOx
SOx
NH3
PM10
PM2.5
NOx
SOx
NH3
Exhaust, tire wear
763.0
690.7 30,718.6 180.4 1,017.8 4,181
3,785 168,352
989
5,578
and brake wear
Paved road
6,290.5 1,555.8
—
—
—
34,469
8,525
—
—
—
fugitive dust
Unpaved road and
6,337.6
632.6
—
—
—
34,726
3,466
—
—
—
alley fugitive dust
Totals:
13,391.0 2,879.1 30,718.6 180.4 1,017.8 73,376 15,777 168,352
989
5,578

5.6

References

MAG, 2000. Revised MAG 1999 Serious Area Particulate Plan for PM-10 for the Maricopa
County Nonattainment Area, Maricopa Association of Governments, 2000.
MAG, 2009. MAG Eight-Hour Ozone Redesignation Request and Maintenance Plan for the
Maricopa Nonattainment Area, Maricopa Association of Governments, February 2009.
MAG, 2010. VMT Estimation for the 2009 MAG Unpaved Road Inventory, Memorandum
prepared by Cathy Arthur, MAG Air Quality Policy Manager, Maricopa Association of
Governments, January 26, 2010.
MAG, 2011. Summary Survey Report of Private Unpaved Roads in the PM-10 Non-attainment
Area in and around Phoenix, Arizona prepared by T&B Systems, Inc., Maricopa
Association of Governments, September 2011.
MAG, 2012. MAG 2012 Five Percent Plan for PM-10 for the Maricopa County Nonattainment
Area, Maricopa Association of Governments, May 2012.
US EPA, 1991. Emission Inventory Requirements for Ozone State Implementation Plans, U.S.
Environmental Protection Agency, EPA-450/4-91-010, March 1991.
US EPA, 1992a. Procedures for Emission Inventory Preparation Volume IV: Mobile Sources,
U.S. Environmental Protection Agency, EPA-450/4-81-026d (Revised), 1992.
US EPA, 1992b. Quality Review Guidelines for 1990 Base Year Emission Inventories, U.S.
Environmental Protection Agency, EPA-454/R-92-007, July 1992.
US EPA, 1993. Emission Factor Documentation for AP-42, Section 13.2.1, Paved Roads,
Prepared by MRI under EPA Contract No. 68-D0-0123, U.S. Environmental Protection
Agency, March 8, 1993.
US EPA, 2006. Compilation of Air Pollutant Emission Factors, AP-42, Fifth Edition, Vol. I:
Stationary, Point and Area Sources. Section 13.2.1: Paved Roads and Section 13.2.2:
Unpaved Roads, U.S. Environmental Protection Agency, November 2006
http://www.epa.gov/ttn/chief/ap42/ch13/index.html.
US EPA, 2014a. Emissions Inventory Guidance for Implementation of Ozone [and Particulate
Matter] National Ambient Air Quality Standards (NAAQS) and Regional Haze
Regulations, U.S. Environmental Protection Agency, April 2014.
US EPA, 2014b. Policy Guidance on the Use of MOVES2014 for State Implementation Plan
Development, Transportation Conformity, and Other Purposes, U.S. Environmental
Protection Agency, EPA-420-B-14-008, July 2014.
US EPA, 2015a. MOVES2014a User Guide, U.S. Environmental Protection Agency, EPA-420B-15-095, November 2015.
US EPA, 2015b. MOVES2014a User Interface Reference Manual, U.S. Environmental
Protection Agency, EPA-420-B-15-094, November 2015.

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Maricopa County, AZ • September 2016

US EPA, 2015c. MOVES2014a Software Design Reference Manual, U.S. Environmental
Protection Agency, EPA-420-B-15-096, November 2015.
US EPA, 2015d. MOVES2014 and MOVES2014a Technical Guidance: Using MOVES to
Prepare Emission Inventories for State Implementation Plans and Transportation
Conformity, U.S. Environmental Protection Agency, EPA-420-B-15-093, November
2015.

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6. Biogenic Sources
6.1

Return to Table of Contents

Introduction

Biogenic emissions has been estimated for the 2014 Periodic Emissions Inventory (PEI) for
PM10 precursor in Maricopa County and the PM10 nonattainment area (NAA) using the Model of
Emissions of Gases and Aerosols from Nature (MEGAN), a state-of-the-art biogenic emissions
model developed by the National Center for Atmospheric Research (NCAR). Some important
corrections and improvements were made in the latest version of MEGAN2.1 (Jiang et al., 2011;
Guenther et al., 2012) compared to its previous versions (Guenther, 2006a, 2006b, and 2007;
Guenther et al., 2006). Nitrogen oxides (NOx) emissions are reported in the PM10 emission
inventory.
In an effort to improve biogenic emission estimates, the methodology used to calculate biogenic
emissions for the 2014 PEI has been updated from the methodology in the 2011 PEI. In the 2014
PEI, Weather Research and Forecasting Model (WRF) meteorology input data were generated
using reanalysis data based on observational data from multiple weather stations. WRF data are
hour-by-hour for the entire year of 2014 and spatially gridded using a 4km × 4km resolution with
56 × 44 grid cells. The 365 day-specific gridded biogenic emissions at each grid cell were
calculated by MEGAN based on WRF meteorology data. These gridded emissions were
summed together to calculate monthly and annual total emissions.
In contrast, meteorology data measured at the Southwest Solar Research Park were applied to all
grid cells of the modeling domain in the 2011 PEI. The biogenic emissions were estimated for
one representative day of each month using the monthly average diurnal cycle of the
meteorological data at the site. The daily emissions were then multiplied by the number of days
for each month to calculate the monthly total emissions. The monthly total emissions were
summed together for annual emissions. Since daily biogenic emissions have a large range of
temporal and spatial variability depending on the day-to-day weather conditions, the use of more
dynamic values provided by the WRF meteorology resulted in an increase in the monthly and
annual biogenic NOx emissions in the 2014 PEI as compared to the 2011 PEI.
6.2

Modeling domain

MEGAN inputs and outputs are based on the user-defined two-dimensional grid cells. A 4-km
grid modeling domain covering Maricopa County and portions of neighboring counties are
employed to develop biogenic emissions with MEGAN. The target areas for the development of
biogenic emissions are the PM10 nonattainment area and Maricopa County within the 4-km
domain. The modeling domain is defined with a Lambert Conformal Conic Projection (LCP)
coordinate system presented in Table 6.2–1. Additional input files to mask areas covered by the
PM10 nonattainment area and Maricopa County are developed by using Geographic Information
Systems (GIS) software to calculate emissions for those two target areas. The masking file
assigns 1.0 for the grid cells fully covered by the target area, a fractional value for grid cells
partially covered by the target area (e.g., boundaries of Maricopa County or the PM10
nonattainment area), and 0.0 for grid cells outside the target area. As shown in Figure 6.2–1,
biogenic emissions for the PM10 nonattainment area and Maricopa County are extracted from
MEGAN simulations using the masked grid cells in the 4-km modeling domain.

2014 Periodic Emissions Inventory for PM10

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Maricopa County, AZ • September 2016

Table 6.2–1. The modeling domain defined in the LCP coordinate system.
Grid horizontal
resolution
Grid size
LCP range (km)
Target areas
(32.4989, –113.3869) to
PM10 NAA and
4 km
56 × 44
(34.07317, –111.0435)
Maricopa County

Figure 6.2–1. The masked grid cells in the 4-km modeling domain.
6.3

Input data

To calculate biogenic emissions using MEGAN, the land cover data and meteorological data
need to be prepared as inputs.
6.3.1

Land cover data

Land cover datasets released with MEGAN v2.1 include eight-day average leaf area index (LAI),
percentages of 16 plant functional types (PFT), and emission factors (EF). The LAI data are
based on a resolution of 30 arc-seconds (approximately 1 km) dataset from the North America
Leaf Index (version 2011); the PFT data are 30 arc-seconds resolution from the North America
Plant Functional Type (version 2011); and the EF data are from a 30 arc-seconds resolution
global emission factor dataset.

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Maricopa County, AZ • September 2016

6.3.2

Meteorological data

Meteorological data are obtained from WRF version 3.7 model simulations after processing by
the Meteorology-Chemistry Interface Processor (MCIP). The output of MCIP is then used as
input to MET2MEG, a component program of MEGAN, to generate meteorological data for the
biogenic emission model. The MET2MEG outputs include photosynthetically active radiation
(PAR) at the surface, air temperature at 2 meters above surface, air pressure, humidity, wind
speed, top-layer soil moisture and temperature, and hourly accumulated precipitation.
Biogenic NOx emissions from soils depend upon soil temperature and water-filled pore space,
which are determined by soil types and precipitation. Wind speed and humidity influence leaf
temperature. Figure 6.3–1 shows daily mean air temperature, PAR, wind speed, air pressure,
water vapor mixing ratio, 24-hour accumulated precipitation, and surface soil moisture and
temperature. The highest daily mean temperature was recorded in July, while the maximum
daily average PAR was observed in June, indicating the peak daily mean temperature occurred
one month after the highest radiation.

100
90

200
PAR (W/m2)

80
70
60

16
14

(b)

150
100
50

50
40

Water vapor mixing ratio (g/kg)

250

(a)

0

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

(c)

24-hour accumulated rain (inch)

T empture at 2 meters ( ͦF)

In order to examine the reliability of WRF model results, temperature, the water vapor mixing
ratio, wind speed, and solar radiation are validated using hourly observational datasets from
standard National Weather Service (NWS; DS472.0) and the Arizona Meteorological Network
(AZMET) stations. There are 12 NWS and 13 AZMET stations within the 4-km grid modeling
domain. The model validation results are illustrated in Figure 6.3–2. Temperature and water
vapor mixing ratio are well replicated with coefficients of determination (R2) above 0.9. The
positive bias of solar radiation indicates the overestimation of PAR and solar radiation by WRF;
likely due to inaccurately modeled cloud cover data.

12
10
8
6
4
2
0
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

2014 Periodic Emissions Inventory for PM10

0.25
0.20

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

(d)

0.15
0.10
0.05
0.00
Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

101

Maricopa County, AZ • September 2016

0.20

110

(e)

Soil temperature (oF)

Soil mositure (m3/m3)

0.25

0.15
0.10

(f)

100
90
80
70
60
50
40

0.05

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

Figure 6.3–1. Daily averages of meteorological variables derived from WRF simulations
for 2014. (a) air temperature at 2-m height, (b) PAR, (c) water vapor mixing ratio, (d)
24-hour accumulated precipitation, (e) soil moisture, and (f) soil temperature.

(a)

(b)

(c)

(d)

Figure 6.3–2. Validation results of WRF model simulations using hourly observational
data from NWS and AZMET: (a) air temperature at 2-m height, (b) water vapor mixing
ratio, (c) wind speed, and (d) surface solar radiation. Results are based on paired hourly
modeled and observed data for all of 2014. R2 = coefficient of determination.

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6.4

Emission estimation

Daily average and monthly NOx biogenic emissions for each month in 2014 are provided in
Table 6.4–1 for the PM10 nonattainment area and Maricopa County, respectively. Daily average
emissions in 2014 (a) and annual mean diurnal cycle (b) of NOx for Maricopa County and the
PM10 nonattainment area are illustrated in Figure 6.4–1. The maximum emissions occurred
during the ozone season (June–August), as temperature and solar radiation reached their highest
levels during these summer months.
Table 6.4–1. Average daily biogenic NOx emissions in 2014 for Maricopa County and the
PM10 nonattainment area, by month.
Maricopa County
PM10 nonattainment area
Monthly
Daily average
Monthly
Daily average
Month
(tons/month)
(lbs/day)
(tons/month)
(lbs/day)
January
16.6
1,068
6.0
386
February
30.1
2,147
11.4
817
March
46.8
3,021
18.6
1,200
April
58.6
3,905
22.9
1,527
May
99.6
6,425
39.3
2,532
June
155.4
10,360
60.9
4,060
July
194.2
12,531
76.3
4,925
August
167.6
10,813
63.7
4,110
September
124.5
8,297
46.7
3,112
October
62.3
4,021
21.3
1,376
November
17.5
1,166
6.1
406
December
14.8
954
5.4
351

9
8

0.18

(a)

0.16

(b)

0.14

6

NO (tons/hour)

NO (tons/day)

7

Maricopa County
PM10 NAA

5
4
3
2
1

0.12
0.10
0.08
0.06
0.04
0.02

0

0.00

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24

Figure 6.4–1. Average daily biogenic NOx emissions, by month (left) and diurnal emission
cycle (right), for both Maricopa County (pink line) and the PM10 nonattainment area (blue
line).

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Maricopa County, AZ • September 2016

6.5

Summary of all biogenic source emissions

Daily average and annual NOx emissions from biogenic sources in Maricopa County and the
PM10 nonattainment area are provided in Table 6.5–1.
Table 6.5–1. Annual and typical daily biogenic NOx emissions for Maricopa County and
the PM10 nonattainment area.
Geographic area
Annual emissions (tons/yr) Typical daily emissions (lbs/day)
Maricopa County
987.9
5,392
PM10 nonattainment area
378.7
2,067
6.6

References

Guenther, A., 2006a. User’s Guide to Processing Driving Variables for Model of Emissions of
Gases and Aerosols from Nature (MEGAN).
Guenther, A., 2006b. User’s Guide to the Model of Emissions of Gases and Aerosols from
Nature (MEGAN) Version MEGAN-VBA-2.0.
Guenther, A., 2007. Corrigendum to "Estimates of global terrestrial isoprene emissions using
MEGAN (Model of Emissions of Gases and Aerosols from Nature)" Atmos. Chem. Phys., 6,
3181–3210, 2006; Atmos. Chem. Phys., 7, 4327–4327.
Guenther, A., T. Karl, P. Harley, C. Wiedinmyer, P. I. Palmer, and C. Geron, 2006. Estimates of
global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and
Aerosols from Nature), Atmos. Chem. Phys., 6, 1–30.
Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and
Wang, X., 2012. The Model of Emissions of Gases and Aerosols from Nature version 2.1
(MEGAN2.1): an extended and updated framework for modeling biogenic emissions,
Geosci. Model Dev., 5, 1471–1492, doi:10.5194/gmd-5-1471-2012.
Jiang, X., A. Guenther, T. Duhl, and T. Sakulyanontvittaya, 2011. MEGAN version 2.10 User’s
Guide. NCAR Earth Systems Laboratory, Atmosperhic Chemistry Division.
www.acom.ucar.edu/webt/MEGAN/MEGAN2.1_User_Guide_05-07-2012.pdf

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Return to Table of Appendices

Appendix A. Instructions for Reporting 2014 Annual Air Pollution Emissions

INSTRUCTIONS
FOR REPORTING 2014
ANNUAL AIR POLLUTION EMISSIONS

revised

January 2015

Emissions Inventory Unit
1001 North Central Avenue, Suite 125
Phoenix, Arizona 85004
Phone: (602) 506-6790
Fax: (602) 506-6179
Email: EmisInv@mail.maricopa.gov

Copies of this document, related forms,
and other reference materials are available online at our web site:
http://www.maricopa.gov/aq/divisions/planning_analysis/emissions_inventory/Default.aspx

TABLE OF CONTENTS
WHAT’S NEW FOR 2014? ............................................................................................................. 1
I.

INTRODUCTION............................................................................................................................. 2
Steps to Complete Your 2014 Maricopa County Emissions Inventory

II. REPORTING REQUIREMENTS .................................................................................................. 3
- Pollutants to be Reported
- Emission Calculation Method Hierarchy
III. CONFIDENTIALITY OF DATA SUBMITTED .......................................................................... 5
- Arizona Revised Statute and Maricopa County Rule
IV. HELPFUL HINTS AND INFORMATION .................................................................................... 6
- What is a Process?
- Processes and Materials That Do Not Have to be Reported
- Grouping Materials and/or Equipment Under One Process ID
- Assigning Identification Numbers (IDs)
- Industry-Specific Instructions
- Commonly Used Conversion Factors
- Additional Resources and Assistance
V. INSTRUCTIONS AND EXAMPLES FOR EMISSIONS REPORTING FORMS
Business Form ..................................................................................................................................... 8
Stack Form ......................................................................................................................................... 9
Control Device Form ....................................................................................................................... 10
General Process Form ....................................................................................................................... 11
Evaporative Process Form ................................................................................................................ 15
Off-Site Recycling/Disposal Form ................................................................................................... 19
Documentation of Emission Factor Calculations.............................................................................. 20
Data Certification Form (for NON-Title V sources) ........................................................................ 21
How to Calculate an Emission Fee (for Title V sources ONLY) ..................................................... 22
Data Certification/Fee Calculation Form (for Title V sources ONLY)............................................ 23
APPENDIX. List of Valid Control Device Codes for 2014

Maricopa County Emissions Inventory Unit

ii

Instructions for Reporting 2014 Emissions

WHAT'S NEW FOR 2014?
Emission factors, codes, etc.:
•

U.S. EPA has revised (i.e., retired, replaced, and/or combined) many Control Device Codes. If you
report control devices please verify the current “Control Type Code” (col. 4 on the Control Device
Form) to ensure that your control equipment has been properly (re)assigned. For your convenience,
we have included a complete 2-page list of all currently valid Control Device Codes as an appendix to
this document.

•

We have standardized the reporting of several types of PM10-generating processes that use watering
to reduce emissions (e.g., unpaved road travel, stockpiles, and certain activities at sand/gravel
operations and concrete batch plants). For those processes that use an emission factor that already
incorporates this control measure (i.e., “Controlled EF?” is “Y” in Col. 18 on the General Process
Form), values for capture and control efficiencies are no longer pre-printed, to avoid double-counting
the emission reductions achieved by watering.

•

The PM10 emission factor for certain crematory processes has been updated (from 0.8 lb/ton to 5.92
lb/ton) to reflect current EPA guidance, and to be consistent with the values that MCAQD uses to
establish emission limits when issuing permits.

Reporting forms:
•

Some preprinted information on your report may be different from last year’s version. Please
review the enclosed forms carefully, and VERIFY THOROUGHLY that the information you
provide on all reporting forms match the information presented on the preprinted forms from
MCAQD.

•

Many of our reporting forms have changed in past years. If you develop your own forms, or a
computerized reproduction of our forms, the forms used must conform to the current information
requirements and FORMAT as supplied on our preprinted forms. “Homemade” reporting forms that
vary significantly from the preprinted forms sent to you will not be accepted.

Miscellaneous:
•

Non-operational facilities: Any facility that has been issued an air quality permit, but that did NOT
operate at any time during 2014, must still respond in writing to this request for annual emissions
information, as a condition of its air quality permit. Please provide ALL information requested on
both the “Business Form” and the “Data Certification Form”, and submit these forms, along with a
letter certifying that there were no operations at the facility during calendar year 2014, by the due date
shown on the Business Form.

•

Emissions fees for Title V facilities: In accordance with Maricopa County Air Pollution Control
Rule 280 (Fees), the 2014 annual emission fee for Title V sources is $42.21/ton. NOTE: Only
emissions from Title V sources (those whose air quality permit numbers have a “V” prefix) are
subject to this annual emissions fee.

Maricopa County Emissions Inventory Unit

1

Instructions for Reporting 2014 Emissions

I. INTRODUCTION
An annual emissions inventory is a document submitted by a business that: (1) lists all processes emitting
reportable air pollutants and (2) provides details about each of those processes. Submitting the emissions
inventory report is required as a condition of your Maricopa County Air Quality Permit. A separate
emissions report is required for each business location with its own air quality permit.
Follow these steps to complete your 2014 Maricopa County emissions inventory:
STEP 1: Determine which forms are needed for your business. There are eight different forms available,
but not all are required for every type of business. For most permitted sources, the packet you received from
us contains the necessary preprinted forms based on your site’s most recent emissions inventory.
1.
2.

3.
4.
5.
6.
7.
8.

Business Form: Contains general contact information about the permitted site. This form is required
for all businesses.
Stack Form: Only required if your business location annually emits over 10 tons of a single pollutant
(CO, VOC, NOx, PM10, or SOx). A “stack” is defined as a stack, pipe, vent or opening through which a
significant percentage of emissions (from one or more processes) are released into the atmosphere. See
the “Stack Form Instructions” on page 9 for specific requirements.
Control Device Form: Required only if there is one or more emission control devices used at the
business location.
General Process Form and
Either or both will be required for all businesses.
Evaporative Process Form:
Off-Site Recycling/Disposal Form: Required if you want to claim off-site recycling or disposal.
Emission Factor Calculations: Required as attachment for each process for which you calculated
your own emission factors.
Data Certification Form or Data Certification/Fee Calculation Form: Only those major sources
with a Title V permit are required to pay annual emissions fees, and thus need to use the Data
Certification/Fee Calculation Form. All other sources use the Data Certification Form.

}

STEP 2: Complete the applicable forms. Verify all preprinted information, and make corrections where
necessary. When making corrections, strike out the preprinted data and write in corrections beside it. Please
make all changes readily noticeable. Detailed information on how to complete the most common forms is
included in this document. The packet you received also contains information about other resources
(workshops, one-on-one assistance, etc.) available to help you in completing the necessary forms.
STEP 3: Make a copy of your completed emissions inventory report. Make sure to KEEP COPIES of all
forms submitted and copies of all records and calculations used in completing the forms. Air pollution
control regulations require that you keep all documentation for at least FIVE YEARS at the location where
pollution is being emitted.
STEP 4: Make sure the Data Certification Form (or Data Certification/Fee Calculation Form for Title V
sources) is signed by a company representative. Include your air quality permit number on all correspondence and applicable checks submitted with your report. Return the original, signed copy of your
annual emission report, with payment for any applicable emission fees to:
Maricopa County Air Quality Department
Emissions Inventory Unit
1001 North Central Avenue, Suite 125
Phoenix, AZ 85004

Maricopa County Emissions Inventory Unit

2

Instructions for Reporting 2014 Emissions

II. REPORTING REQUIREMENTS
POLLUTANTS TO BE REPORTED:
Your emissions inventory must include your business’s emissions of the following air pollutants:
CO
NOx
PM10
SOx
VOC
HAP&NON
NHx
Pb

=
=
=
=
=
=
=
=

Carbon monoxide
Nitrogen oxides
Particulate matter less than 10 microns
Sulfur oxides
Volatile organic compounds *
Hazardous Air Pollutant (HAP) that is also NOT a volatile organic compound (VOC)**
Ammonia and ammonium compounds
Lead

* A volatile organic compound (VOC) is defined as any compound of carbon that participates in atmospheric photochemical reactions. This definition excludes: carbon monoxide, carbon dioxide, acetone,
carbonic acid, metallic carbides or carbonates, and ammonium carbonate, as well as certain other organic
compounds. (See Maricopa County Air Pollution Control Rule 100, Sections 200.69 and 200.110 for a full
definition.)
EPA has re-designated the chemical t-butyl acetate (CAS Number 540-88-5) as a VOC for record-keeping
requirements and emissions reporting, but not for emission limitations or content requirements. County Rule
100, Section 200.69b states:
“The following compound(s) are VOC for purposes of all recordkeeping, emissions reporting, photochemical
dispersion modeling and inventory requirements which apply to VOC and shall be uniquely identified in
emission reports, but are not VOC for purposes of VOC emissions limitations or VOC content
requirements: t-butyl acetate (540-88-5).”
Therefore, if your facility uses t-butyl acetate, it is necessary to report t-butyl acetate as a separate material
on the evaporative process form, not as part of a grouped material (e.g., solvents, thinners, activators, etc.).
T-butyl acetate will continue to be identified as a VOC on your emission report and count towards any
applicable emission fees.
** HAP&NON: Usage of certain materials that are: (1) a Hazardous Air Pollutant (HAP) and (2) not also a
VOC (that is, not also an ozone precursor) should also be reported if:
(a) your site is subject to a Federal MACT (Maximum Achievable Control Technology) standard or
(b) your air quality permit contains specific quantitative limits for HAP emissions.
The most common materials categorized as “HAP&NON” include:
• methylene chloride (dichloromethane)
• perchloroethylene
• 111-trichloroethane (111-TCA or methyl chloroform)
• hydrochloric acid
• hydrofluoric acid
NOTE: HAPs that are also considered volatile organic compounds are reported as VOC.

Maricopa County Emissions Inventory Unit

3

Instructions for Reporting 2014 Emissions

EMISSION CALCULATION METHOD HIERARCHY:
When preparing emission information for your report, the most accurate method for calculating actual
emissions must be used. The hierarchy listed below outlines the preferred methods for calculating emission
estimates (taken from County Rule 280, Section 305.1).
(1)

Whenever available, emissions estimates should be calculated from continuous emissions
monitors certified under 40 CFR Part 75, Subpart C, or data quality assured pursuant to
Appendix F of 40 CFR, Part 60.

(2)

When sufficient data obtained using the methods described in paragraph 1 is not available,
emissions estimates should be calculated from source performance tests conducted pursuant to
Rule 270 in Maricopa County’s Air Pollution Control Rules and Regulations.

(3)

When sufficient data obtained using the methods described in paragraphs 1 or 2 is not available,
emissions estimates should be calculated from material balance using engineering knowledge of
the process.

(4)

When sufficient data obtained using the methods described in paragraphs 1 through 3 is not
available, emissions estimates shall be calculated using emissions factors from EPA Publication
No. AP-42 "Compilation of Air Pollutant Emission Factors," Volume I: Stationary Point and
Area Sources.

(5)

When sufficient data obtained using the methods described in paragraphs 1 through 4 is not
available, emissions estimates should be calculated by equivalent methods supported by back-up
documentation that will substantiate the chosen method.

Maricopa County Emissions Inventory Unit

4

Instructions for Reporting 2014 Emissions

III. CONFIDENTIALITY OF DATA SUBMITTED
Information submitted in your annual emissions reports must be made available to the public unless it meets
certain criteria described in Arizona Revised Statutes and Maricopa County Rules. Applicable excerpts
concerning confidentiality of data are reproduced below.
A.R.S. § 49-487 D. ...the following information shall be available to the public:…
2.

The chemical constituents, concentrations and amounts of any emission of any air contaminant. ...

MARICOPA COUNTY AIR POLLUTION CONTROL RULES AND REGULATIONS, Rule 100:
§ 200.107 TRADE SECRETS - Information to which all of the following apply:
a.
A person has taken reasonable measures to protect from disclosure and the person intends to continue to
take such measures.
b.
The information is not, and has not been, reasonably obtainable without the person’s consent by other
persons, other than governmental bodies, by use of legitimate means, other than discovery based on a
showing of special need in a judicial or quasi-judicial proceeding.
c.
No statute, including ARS §49-487, specifically requires disclosure of the information to the public.
d.
The person has satisfactorily shown that disclosure of the information is likely to cause substantial harm to
the business’s competitive position.
§ 402
402.2
a.
b.

CONFIDENTIALITY OF INFORMATION:
Any records, reports or information obtained from any person under these rules shall be available to the
public ... unless a person:
Precisely identifies the information in the permit(s), records, or reports which is considered confidential.
Provides sufficient supporting information to allow the Control Officer to evaluate whether such information
satisfies the requirements related to trade secrets as defined in Section 200.107 of this rule.

For emissions inventory information to be deemed confidential, the following steps must be followed:
• Specific data which you request be held confidential must be identified by marking an “X” in the
corresponding gray confidentiality box(es) on the relevant report forms.
• Provide a written explanation which gives factual information satisfactorily describing why releasing this
information could cause substantial harm to the business’s competitive position.
• Use the gray-shaded boxes on the reporting forms to indicate which data are to be held confidential. Do
NOT stamp “Confidential”, highlight data, or otherwise mark the page.
NOTE: No data can be held confidential without proper justification. We will reply in writing to all
requests for confidentiality, detailing which individual data elements for each process have been deemed
confidential.

Maricopa County Emissions Inventory Unit

5

Instructions for Reporting 2014 Emissions

IV. HELPFUL HINTS AND INFORMATION
Be sure to verify all preprinted information on forms. If any information is incorrect or blank, please provide
correct information. Making a change on the Business Form will NOT transfer the permit ownership or
location. You must contact the Department's Business Assistance Program at (602) 506-5102 or the
Engineering & Permitting Division at (602) 506-6094 to accomplish this.
WHAT IS A PROCESS? A process is a business activity at your location that emits one or more of the
pollutants listed on page 3, and has only one material type as input and one operating schedule. For each
applicable process at your business, you must assign a unique Process ID number to differentiate each
process.
PROCESSES AND MATERIALS THAT DO NOT HAVE TO BE REPORTED:
• Welding.
• Acetone usage.
• Fuel use for forklifts or other vehicles. (Note: Fuel use in non-vehicle engines is reportable.)
• Soil remediation activities. (Note: Other periodic reporting requirements may exist; consult your permit.)
• Storage emissions from fuels or organic chemicals in any tank with a capacity of 250 gallons or less.
• Storage emissions of diesel and Jet A fuel in underground tanks of any size.
• Storage emissions of diesel and Jet A fuel in aboveground tanks, with throughput < 4,000,000 gal/yr.
• Routine pesticide usage, housekeeping cleaners, and routine maintenance painting at your facility.
Please group all similar equipment and materials together before applying the following limitations:
• Internal combustion engines (e.g., emergency generators) or external combustion equipment (e.g., boilers
and heaters) that operated less than 100 hrs. and burned less than 200 gals. diesel or gas, or less than
100,000 cubic feet of natural gas.
• Materials with usage of less than 15 gallons or 100 pounds per year.
GROUPING MATERIALS AND/OR EQUIPMENT UNDER ONE PROCESS ID:
You can group together under one process ID:
• All internal combustion engines less than 600 hp if they burn the same fuel and have similar operating
schedules.
• All external combustion equipment (boilers, heaters) with a capacity of less than 10,000,000 Btu per
hour if they burn the same fuel and have similar operating schedules.
• All similar evaporative materials with similar emission factors that have similar operating schedules and
process descriptions. For example, group low-VOC red paint, green paint and white paint together as
one material: “Paint: Low-VOC.” Do not group dissimilar materials together, such as thinners and
paints. Attach documentation (see example, p. 20) showing how the grouped emission factor was
determined.
• All underground tanks with the same fuel and same type of vapor recovery system.
ASSIGNING IDENTIFICATION NUMBERS (IDs):
Unique IDs are required for the following report elements: Stacks, Control Devices and Processes. For
processes, that means a process ID number may be used only once on each General Process form and for
each material reported on the Evaporative Process Forms.
These numbers are usually assigned by the person who prepares the original report. If you are adding a new
item to a preprinted report, assign a number not already in use. Once an ID number is assigned, continue
using the same number for that item each year. If that item is no longer reportable, mark it with ‘DELETE’
and return the preprinted form with a brief explanation. Do not use that ID number again.
Maricopa County Emissions Inventory Unit

6

Instructions for Reporting 2014 Emissions

INDUSTRY-SPECIFIC INSTRUCTIONS: Additional help sheets, detailed examples, and special
instructions are available for a number of specific processes or industries listed below. To get copies of any
of these documents, please call (602) 506-6790, or visit our web site at:
http://www.maricopa.gov/aq/divisions/planning_analysis/emissions_inventory/Default.aspx
•
•
•
•
•

Bakeries
Concrete Batch Plants
Fuel Storage and Handling
Incinerators and Crematories
Lg. Aboveground Storage Tanks

•
•
•
•
•

Natural Gas Boilers/Heaters
Polyester Resin
Printing Plants
Roofing Asphalt
Sand and Gravel Plants

•
•
•
•

Using EPA's TANKS 4.09d Program
Vehicle Refinishing
Vehicle Travel on Unpaved Roads
Woodworking

COMMONLY USED CONVERSION FACTORS:
1 gram/liter = 0.00834 lbs/gal
1 foot
= 0.0001894 mile
1 liter
= 0.2642 gallon (US)
1 square foot
= 0.000022957 acre
1 therm
= 0.0000952 MMCF
1 pound
= 0.0005 ton
NOTE:
MM = 1,000,000
Example: MMCF = 1,000,000 cubic feet
M = 1,000
Example: MGAL = 1,000 gallons
ADDITIONAL RESOURCES AND ASSISTANCE:
The Maricopa County Emissions Inventory web site at:
http://www.maricopa.gov/aq/divisions/planning_analysis/emissions_inventory/Default.aspx
contains additional reference materials, such as:
•
•
•
•

blank copies of most emissions reporting forms.
an updated list of emission factors for a large number of industrial processes, including SCC codes.
a list of Tier Codes for industrial processes.
detailed help sheets for a number of specific industries or processes.

To receive any of the above materials by fax or mail, or for additional information or assistance in how to
calculate and report your emissions, please call us at (602) 506-6790 or email at
EmisInv@mail.maricopa.gov.

Maricopa County Emissions Inventory Unit

7

Instructions for Reporting 2014 Emissions

V. INSTRUCTIONS AND EXAMPLES FOR COMPLETING EMISSIONS REPORTING FORMS

Business Form

Instructions

Verify all preprinted information, and make corrections where necessary. When making corrections, strike
out the preprinted data and write in corrections beside it. Please make all changes readily noticeable.

NOTE:

Making a change on the Business Form will NOT transfer the permit ownership or location. You
must contact the Department's Business Assistance Program at (602) 506-5102 or the Engineering &
Permitting Division at (602) 506-6094 to accomplish this.
Data fields:
6 Number of employees: This should be the annual average number of full-time equivalent (FTE)
employee positions at this business location.
9

NAICS Code: This 5- or 6-digit North American Industrial Classification System (NAICS) code has
been introduced to replace the 4-digit Standard Industrial Classification (SIC) codes. Please list the
primary and secondary NAICS codes for your business, if known. (Consult our website, at:
http://www.maricopa.gov/aq/divisions/planning_analysis/emissions_inventory/Default.aspx, for a link to
a full list of NAICS codes.)

10 Preparer of the Inventory (primary contact for technical questions concerning this report): This should be
the person who knows the most about the data in the report. If this person has an e-mail address used for
business purposes, please provide it.
11 Who should receive the Annual Emissions Inventory Form next year?: This should be a person who is
directly employed with the business. This person should not be a consultant for the business.

Maricopa County Emissions Inventory Unit

8

Instructions for Reporting 2014 Emissions

Stack Form

Instructions

A “stack” is defined as a stationary stack, pipe, vent or opening through which a significant percentage of
emissions (from one or more processes) are released into the atmosphere (with or without a control device).

NOTE:

Stack information is required only if your business location annually emits over 10 tons of any one
individual pollutant. If so, you must complete a Stack Form for:
• each stack connected to a control device.
• any stack that discharges annually more than 5 tons of combined pollutant emissions (such as a paint
booth exhaust).
EXAMPLE Stack Form Information:
1

2

3

Stack
ID

Stack
Type
Code*

1

W

30 ft

2

V

14 ft

4

5a OR 5b

6a OR 6b & 6c

Stack
Exit Gas
Velocity Flow Rate Diameter Length / Width
Height** Temperature feet/sec
acfm
inside inch
inside inch

* Stack Type Codes:

90
200

o
o

F
F

20,000

36

19,186

40

7

Stack Name/Description. Include lat/long
coordinates of stack (in decimal degrees)

paint booth Lat: N33.5277
Long: W112.2626
thermal oxidizer, Bldg. 2
Lat:N33.5259 Long:W112.2613

V = Vertical unobstructed
D = Downward unobstructed
W = Obstructed vertical (e.g. weather cap)

H = Horizontal unobstructed
G = Gooseneck

** Stack height is calculated relative to the surrounding terrain. For instance, the stack height of a 10-foot
stack on top of a 20-foot tall building is 30 feet.
Data fields:
1

Stack ID: (See “Assigning Identification Numbers” on page 6.) A number (up to three digits, numeric
only) which identifies a specific stack. It is suggested you start with 1, then 2, etc.

4

Exit Gas Temperature: Should represent average operating conditions, in degrees Fahrenheit.
DO NOT report “ambient”.

5a Exit Gas Velocity: OR 5b Gas Flow Rate:
Provide EITHER the exit velocity (in feet per second) OR the flow rate of gas (in actual cubic feet per
minute) exiting the stack during normal operations. Preprinted information provides both.
6a Inside Stack Diameter: For round stacks, provide Inside Stack Diameter in inches.
OR
6b & 6c Inside Stack Length and Width: For square or rectangular stacks, provide inside Length and inside
Width in inches.
7

Stack Name/Description and Lat/Long Coordinates: Provide a brief text description of the stack along
with the latitude and longitude coordinates of the stack (in decimal degrees).

Maricopa County Emissions Inventory Unit

9

Instructions for Reporting 2014 Emissions

Control Device Form
1
Control
ID

2

Installation/
Reconstruction*
Date

Instructions
EXAMPLE Control Device Form Information
3

4

5

Size or Rated Capacity**

Control
Type Code

Control Device
Name/Description

1

05/09/98

25,000.0 cfm

021

Thermal oxidizer

4

03/10/97

cfm

217

Watering with water trucks

6
Stack ID

2

Data fields:
1

Control ID: (See “Assigning Identification Numbers” on page 6.) A unique number (up to three digits)
that you assign to identify a specific control device.

2

Installation/Reconstruction Date: The completion date (given in mm/dd/yy format) of installation or the
most recent reconstruction of the identified control device. This is not a date on which routine repair or
maintenance was done. “Reconstruction” means any component of the control device was replaced and
the cost (fixed capital) of the new component(s) was more than half of what it would have cost to
purchase or construct a new control device.

3

Size or Rated Capacity: Report the air or water flow rate in cubic feet per minute. Some devices (e.g.,
water trucks for dust control) will not include a value in this field.

4

Control Type Code: A 3-digit code designating the type of control device. A complete list of all EPA
control device codes can be found on the Web at: http://www.maricopa.gov/aq/divisions/
planning_analysis/emissions inventory/Default.aspx or call (602) 506-6790 for assistance.

6

Stack ID: Not all businesses require a Stack ID. This is required if the Stack Form is used for your site
(see page 9) and the control device is vented through that identified stack. This is the ID number shown
in column 1 of the Stack Form. The Stack ID can be entered on this form after the Stack Form has been
filled out.

Maricopa County Emissions Inventory Unit

10

Instructions for Reporting 2014 Emissions

General Process Form

Instructions

The General Process Form is used to record data on all emissions-producing processes except evaporative
processes. A “general process” is normally characterized by the burning or handling of a material. One
form reports all the pollutants for one process. For example, several pollutants are produced by burning fuel,
and PM10 is emitted by processing rock products, processing materials such as wood or cotton, and driving
on unpaved areas.
Data fields: (See sample forms on pages 13 and 14.)
1 Process ID: A number (up to three digits) that is preprinted or you assign. (See “Assigning Identification
Numbers” on page 6.) This Process ID number is unique and can not be used for any other process at
this location.
2

Process Type/Description: Brief details on the type of activity that is occurring.

3

Stack ID(s): The stack ID number(s) shown in column 1 of the Stack Form that identify the stack(s)
which vent pollution created by this process. Not all businesses are required to report stacks. This is only
required if the Stack Form is required for your site (see page 9) and the process has a stack.

4
5

Process Tier Code and
SCC Code:

6

Seasonal Throughput Percent: Enter the percent of total annual operating time that occurred per season,
rounded to the nearest percent. For example, “Dec-Feb 30% ” means 30% of total annual activity
occurred in January, February and December 2014. The total for all four seasons must equal 100%.

7
8

Normal Operating Schedule and
Typical Hours of Operation:

9

Emissions Based on: Provide the name of the material used, fuel used, product produced, or whatever
was measured for the purpose of calculating emissions, such as “natural gas”, “hours of operation,”
“vehicle miles traveled,” or “acres.”

If these codes are not preprinted on your form, please consult the
section “Other Resources” on our web site, or call (602) 506-6790.

These reflect the normal daily, weekly, and annual operating
parameters of this process during 2014.

10 Used, Produced or Existing: Indicate whether calculated emissions are based on a material type or fuel
used (an input, such as “paint” or “natural gas”), or an output (such as “sawdust produced” or “finished
product”). Use “Existing” if the parameter reported on line 9 is not directly used or produced in the
process (such as “vehicle miles traveled” or “acres”).
11 Annual Amount: The annual amount (a number) of material that was used, fuel combusted, product
produced, hours of operation, vehicle miles traveled, or acres.
12 Fuel Sulfur Content (in percent): For processes that involve the combustion of oil or diesel fuels, report
the sulfur content of the fuel as a decimal value. Example:
0.05 % (= 500 ppm)
13 Unit of Measure: Units of the material used, fuel used or product produced shown on line 9.
For example: gallons, pounds, tons, therms, acres, vehicle miles traveled, units produced.
14 Unit Conversion Factor: You must provide this if you use an emission factor with an emission factor unit
(see item 17 below) that is not the same as the unit of measure (from line 13). This is the standard
number you would multiply your amount (line 11) by to convert it to the units of the emission factor. See
page 7 for a list of commonly used conversion factors.
Maricopa County Emissions Inventory Unit

11

Instructions for Reporting 2014 Emissions

General Process Form Instructions (continued)
15 Pollutant: See page 3 for a list of pollutants that need to be reported.
16 Emission Factor (EF): The number to be multiplied by the annual amount (line 11) to determine how
much of the pollutant was emitted. If you calculate your own emission factor or change the preprinted
emission factor, you must provide details of your calculations in an attachment.
17 Emission Factor (EF) Units: Enter the appropriate Emission Factor Units in pounds (lb) per unit; e.g.,
lb/ton, lb/MMCF, lb/gal.
18 Controlled Emission Factor (EF)? YES or NO: Indicate “YES” if: 1) you have your own emission factor
from testing and included the control device efficiency within the factor, or 2) the emission factor used is
clearly identified as a controlled emission factor. A “YES” response requires the use of Formula A (see
#25 below). Indicate “NO” if: 1) there is no emission control device, or 2) the emission factor represents
emission rates before controls. A “NO” response requires the use of Formula B (see #25 below).
19 Calculation Method: Enter the number code (listed at the bottom of the General Process Form) which
best describes the method you used to obtain this emission factor. Code 5, “AP-42/FIRE Method or
Emission Factor” means that the factor comes from EPA documents or software. NOTE: If you have
continuous emissions monitors (CEM) data or conducted a source test that was required and approved by
the County for a specific process or piece of equipment, you must use the emission data from the CEM
or the test results. Report “1” in this column for CEM data or “4” for performance test data.
20 through 24: Leave blank if there is no control device.
20 Capture % Efficiency: The percent of the pollutant that is captured and sent to the primary control
device in this process. Be sure to list capture efficiency separately for each pollutant affected.
21 Primary Control Device ID: If this pollutant is being controlled in this process, enter the Control
Device ID number which represents the first control device affecting the pollutant.
22 Secondary Control Device ID: If this pollutant is being controlled sequentially by 2 devices, enter
the Control Device ID number which represents the second control device; otherwise leave this field
blank.
23 Control Device(s) % Efficiency: Enter the total control efficiency of the control device(s). Be sure to
list control device efficiency separately for each pollutant affected. If you report control device
efficiency, you must also show capture efficiency in column 20.
24 Efficiency Reference Code: Enter the code (1 through 6) that best describes how you determined the
control device efficiency. A list of possible codes is included at the bottom of the form.
25 Estimated Actual Emissions (in pounds/year): You may round the calculated emissions values to the
nearest pound. Calculate as follows:
A. Emissions with no controls or controls are reflected in the emission factor:
Column 25 = line 11 × line 14 × column 16
B. Emissions after control:
Column 25 = line 11 × line 14 × column 16 × (1 – [column 20 × column 23])
Use the decimal equivalent for columns 20 and 23. Example: 96.123% = 0.96123
Maricopa County Emissions Inventory Unit

12

Instructions for Reporting 2014 Emissions

General Process Form 2014

EXAMPLE: Internal Combustion

V99999

Permit number(s)

Place an X in any gray cell to mark data requested to be held confidential. See page 5 for requirements for information to be deemed confidential.
1- Process ID
80
2- Process Type/Description:

3 ENGINES FOR CRUSHING (EACH LESS THAN 600 HP)

3- Stack ID(s) (only if required on Stack Form)

________

020599

4- Process TIER Code:
5- SCC Code

_______

20200102

IND:DIESEL-RECIPROCATING

(8 digit number)

6- Seasonal Throughput Percent:

20

Dec-Feb

7- Normal Operating Schedule:

Hours/Day

8- Typical Hours of Operation: (military time)

________
________
________
FUEL COMB. INDUSTRIAL: INTERNAL COMBUSTION

%

8

Days/Week

0700

Start

25

Mar-May

Jun-Aug

30

Hours/Year

2080

%

5

 Used (input)

11- Annual Amount:

or

Produced (output) or

Pollutant

CO

NOx
PM-10
SOx
VOC

Emission
Factor (EF)
(number)

130
604
42.5
39.7
49.3

Emission
Factor
Unit (lb per)

M
M
M
M
M

GALS
GALS
GALS
GALS
GALS

Controlled
EF?
Yes or No

N
N
N
N
N

* Calculation Method Codes:
1 = Continuous Emissions Monitoring Measurements
2 = Best Guess / Engineering Judgment
3 = Material Balance
4 = Source Test Measurements (Stack Test)
5 = AP-42 / FIRE Method or Emission Factor

Maricopa County Emissions Inventory Unit

52 x

19

Calculation
Method
Code*

__0.05_______%

GALLONS

14- Unit Conversion Factor (if needed to convert Unit of Measure to correlate with emission factor units)

Emission Factor (EF) Information
16
17
18

%

DIESEL

12- Fuel Sulfur Content (in percent)

13- Unit of Measure: (for example: tons, gallons, million cu ft, acres, units produced, etc.)

15

Weeks/Year

25

Existing (e.g. VMT, acres)

16,250

(a number)

Sep-Nov

1530

End

9- Emissions based on (name of material or other parameter, e.g. “rock”, “diesel”, “vehicle miles traveled”)
10-

%

0.001

Control Device Information
21
22
23

20

Capture %
Efficiency

Primary
Control
Device ID

5
5
5
5
5

Secondary
Control
Device ID

6 = State or Local Agency Emission Factor
7 = Manufacturer Specifications
8 = Site-Specific Emission Factor
9 = Vendor Emission Factor
10 = Trade Group Emission Factor

13

Control
Device(s) %
Efficiency

24

Efficiency
Reference
Code**

25

Estimated Actual
Emissions

2,113
9,815
691
645
801

lbs
lbs
lbs
lbs
lbs

** Control Efficiency Reference Codes:
1 = Tested efficiency / EPA reference method
2 = Tested efficiency / other source test method
3 = Design value from manufacturer
4 = Best guess / engineering estimate
5 = Calculated based on material balance
6 = Estimated, based on a published value

Instructions for Reporting 2014 Emissions

General Process Form 2014

EXAMPLE: Unpaved Road Travel

Permit number(s)

V99999

Place an X in any gray cell to mark data requested to be held confidential. See page 5 for requirements for information to be deemed confidential.
1- Process ID
28
2- Process Type/Description: UNPAVED ROAD TRAVEL: HEAVY-DUTY TRUCKS @ 15 MPH
_______

3- Stack ID(s) (only if required on Stack Form)

140799

4- Process TIER Code:
5- SCC Code

________

30502504

________

________

MISCELLANEOUS: FUGITIVE DUST
SAND/GRAVEL: HAULING

(8 digit number)

6- Seasonal Throughput Percent:

25

Dec-Feb

7- Normal Operating Schedule:

%

Jun-Aug

25

Hours/Year

2080

%

5

Days/Week

0700

Start

25

Mar-May

8

Hours/Day

8- Typical Hours of Operation: (military time)

Used (input)

11- Annual Amount:

or
(a number)

Produced (output)

or

%

Sep-Nov
Weeks/Year

1530

End

9- Emissions based on (name of material or other parameter, e.g. “rock”, “diesel”, “vehicle miles traveled”)
10-

________

25

%

52 x

VEHICLE MILES TRAVELED (VMT)

 Existing (e.g. VMT, acres)

7,500

12- Fuel Sulfur Content (in percent)

______________%

VMT

13- Unit of Measure: (for example: tons, gallons, million cu ft, acres, units produced, etc.)

14- Unit Conversion Factor (if needed to convert Unit of Measure to correlate with emission factor units)

15

Pollutant

PM-10

Emission Factor (EF) Information
16
17
18

Emission
Factor (EF)
(number)

3.2

Emission
Factor
Unit (lb per)

VMT

Controlled
EF?
Yes or No

N

19

Calculation
Method
Code*

6

Control Device Information
21
22
23

20

Capture %
Efficiency

Primary
Control
Device ID

100

4

Secondary
Control
Device ID

Control
Device(s) %
Efficiency

90

24

Efficiency
Reference
Code**

6

25
Estimated Actual
Emissions

2400

lbs
lbs
lbs
lbs
lbs
lbs

NOTE: Emissions in col. 25 are calculated as follows:
* Calculation Method Codes:
1 = Continuous Emissions Monitoring Measurements
2 = Best Guess / Engineering Judgment
3 = Material Balance
4 = Source Test Measurements (Stack Test)
5 = AP-42 / FIRE Method or Emission Factor

Maricopa County Emissions Inventory Unit

(line 11 × col. 16) × (1 – [col. 20 × col. 23])

6 = State or Local Agency Emission Factor
7 = Manufacturer Specifications
8 = Site-Specific Emission Factor
9 = Vendor Emission Factor
10 = Trade Group Emission Factor

14

** Control Efficiency Reference Codes
1 = Tested efficiency / EPA reference method
2 = Tested efficiency / other source test method
3 = Design value from manufacturer
4 = Best guess / engineering estimate
5 = Calculated based on material balance
6 = Estimated, based on a published value

Instructions for Reporting 2014 Emissions

Evaporative Process Form

Instructions

The Evaporative Process Form is used to report all emissions produced by evaporation. Examples include:
cleaning with solvents, painting and other coatings, printing, using resin, evaporation of fuels from storage
tanks, ammonia use, etc. All other processes should be shown on the General Process Form.
One Evaporative Process Form may be used to report numerous materials, with each material given a
separate process ID number, as long as the information on lines 1–5 apply to all items on that form. Use a
separate form for each group of materials that has a different Process Type/Description (shown on line 1),
different Tier Code (line 2) or different operating schedule (lines 3, 4, or 5).
Data fields: (See sample forms on pages 17 and 18.)
1 Process Type/Description: Brief details of the activity in which the listed materials were used.
2

Process Tier Code: If this 6-digit code is not preprinted on your form, please refer to the Tier Code list
at: http://www.maricopa.gov/aq/divisions/planning_analysis/emissions_inventory/Default.aspx
or call (602) 506-6790.

3

Seasonal Throughput Percent: Enter the percent of total annual operating time that occurred per season
(rounded to the nearest percent). For example, “Dec-Feb 30% ” means 30% of the total annual activity
occurred during January, February and December 2014. The total for all four seasons must equal 100%.

4
5

Normal Operating Schedule and
Typical Hours of Operation:

6

Process ID: A number (up to three digits) that represents this specific material (process). Each process
on one form must have the same tier code and operating schedule as that shown in the top portion of the
form. This Process ID number are unique and can not be used for any other process at this business
location. See page 6 of these instructions for more explanation of ID numbers and for exclusions and
guidance on grouping materials.

7

Stack ID(s): The stack ID number(s) shown in column 1 of the Stack Form that identify the stack(s)
which vent pollution created by this process. Not all businesses are required to report stacks. This is only
required if the Stack Form is required for your site (see page 9) and the process has a stack.

8

Material Type: Provide the information on the type of the material used in this process. Give the
chemical name for pure chemicals or a name that reflects its use (paint, ink, etc.), rather than just a brand
name or code number. Examples of materials include: paint, thinner, degreasing solvent (plus its
common name), ink, fountain solution, ammonia, alcohol, ETO (ethylene oxide), gasoline (in a storage
tank).

9

Annual Material Usage/Input: Amount of this material used during the year. In most cases, the amount
purchased is suitable. Write in “lbs” or “gal” (pounds or gallons).

These represent the usual number of hours, time of day and weeks
per year when this process occurred during the calendar year.

10 Pollutant: The only pollutants reported on this form are VOC, HAP&NON and NHX (see definitions on
page 3). When one process (or material) has more than one of these pollutants, list each pollutant on a
separate line, using the same process ID number.

Maricopa County Emissions Inventory Unit

15

Instructions for Reporting 2014 Emissions

Evaporative Process Form (continued)
11 Emission Factor (EF): An emission factor is a number used to calculate the pounds of pollutant emitted
based on the quantity of material used in a process. Emission factors can be obtained from your supplier
(usually provided on a Material Safety Data Sheet or environmental data sheet), and must correspond
with the material units reported in column 9. If the material unit is “gal,” then the emission factor must
be in pounds of pollutant per gallon. If the material unit is “lb,” then the emission factor must be in
pounds of pollutant per pound of material.
Verify (and correct, where necessary) all preprinted emission factors, as the composition of materials
used may have changed since your last report. A “lb/gal” emission factor is almost always less than 8 and
never greater than 14. A “lb/lb” emission factor is never larger than 1.0.
12 Pounds of pollutant sent off-site: Required only if you wish to take credit for reduced emissions because
waste of this material is sent off-site for recycling or disposal. Only waste generated during the report
year may be claimed. The Off-Site Recycling/Disposal Form must be completed if you wish to claim a
credit. The number of pounds reported in column 12 must equal the number of pounds reported on the
Off-Site Recycling/Disposal Form(s) for the same Process ID number.
13 and 14: Leave these fields blank if there is no control device present.
13 Capture % Efficiency: The percent of the pollutant from this process that is captured and sent to the
control device.
14 Control ID: If this pollutant is being controlled in this process, enter the Control Device ID number
from column 1 of the Control Device Form.
Control % Efficiency: Enter the percent of this pollutant that is controlled by this control device.
Code: Select the Control Efficiency Reference Code from the list at the bottom of the form.
15 Estimated Emissions (lbs/yr): Estimated pounds of the pollutant emitted during the year, after off-site
recycling/disposal and controls if applicable. Credit will not be given for off-site recycling/disposal
unless it is shown on the Off-Site Recycling/Disposal Form. Round to the nearest pound. If the
answer is 0, give a decimal answer to the first significant digit. Column 15 is calculated as follows:
Emissions without off-site recycling/disposal or controls:
Column 15 = column 9 × column 11
Emissions with off-site recycling/disposal:
Column 15 = (column 9 × column 11) – column 12
Emissions with off-site recycling/disposal and controls:
Column 15 = ([column 9 × column 11] – column 12) × (1 – [column 13 × column 14])
Use the decimal equivalent for columns 13 and 14. Example: 96.123% = 0.96123

Maricopa County Emissions Inventory Unit

16

Instructions for Reporting 2014 Emissions

EXAMPLE: Coating and Painting

Evaporative Process Form 2014

V99999

Permit number(s)

Place an X in any gray cell to mark data requested to be held confidential. See page 5 for requirements for information to be deemed confidential.
1- Process Type/Description: Coating metal parts
2- Process TIER Code:

3- Seasonal Throughput Percent:
4- Normal Operating Schedule:
5- Typical Hours of Operation

6

7

Process
ID

Stack
ID(s)

800

1

801

1

802

1

803

SOLVENT USE: SURFACE COATING - MISC METAL PARTS

080415
Dec-Feb
Hours/Day

25

%

8

Days/Week

(military time)

8

Material Type

Lacquer
6455-06
lacq thinner

Mar-May

Start

9

Annual
Usage
Input

lb
or
gal

95

gl

120

1

Paint red
4039-03
Toro-Red Paint

803

1

Toro-Red Paint

804

1

%

25

5

Hours/Year
End

0800

10

VOC,
HAP&NON
or
NHx

Jun-Aug

25

2080

%

Sep-Nov

25

%

Weeks/Year 52__

1700
Emission
Factor

11

EF
Units
(lbs per)

VOC

4.7

gal

gl

VOC

7.1

940

gl

VOC

707

gl

707

gl

12

Pounds of
pollutant*
sent
off site

13

Capture
Efficiency
%

Control
ID

14

Control
Efficiency
%

Control
Efficiency
Code**

15

Estimated
Emissions
(lbs/yr)

%

%

447

gal

%

%

852

4.2

gal

%

%

3,948

VOC

7.0

gal

%

%

4,949

HAP&NON

0.5

gal

%

%

354

lb
powder paint
20,200
VOC
0.001
lb
20
%
%
8730-11
Note: Do NOT change preprinted Process ID numbers. See page 6 of these instructions for information on how to delete materials that are no longer used, or to assign Process
ID numbers for new materials.

* If you have off-site recycling/disposal of any of the materials listed above, you must complete an Off-site Recycling/Disposal Form to receive
credit for reduced emissions.
NOTE: Emissions in col. 15 are calculated as follows:
** Control Efficiency Reference Codes
1 = Tested efficiency / EPA reference method
4 = Best guess / engineering estimate

Maricopa County Emissions Inventory Unit

([col. 9 × col. 11] – col. 12) × (1 – [col. 13 × col. 14])

2 = Tested efficiency / other source test method
5 = Calculated based on material balance

17

3 = Design value from manufacturer
6 = Estimated, based on a published value.

Instructions for Reporting 2014 Emissions

EXAMPLE: Cleaning solvent (with recycling)
Evaporative Process Form 2014

V99999

Permit number(s)

Place an X in any gray cell to mark data requested to be held confidential. See page 5 for requirements for information to be deemed confidential.
CLEANING METAL PARTS

1- Process Type/Description:
2- Process TIER Code:

3- Seasonal Throughput Percent:

Dec-Feb

4- Normal Operating Schedule:
5- Typical Hours of Operation

6

7

Process
ID

Stack
ID(s)

3

2

SOLVENT USE: DEGREASING - COLD CLEANING

080103
Hours/Day

25

%

8

Days/Week

(military time)

8

Start

9

Annual Usage
Input

lb
or
gal

SANITIZER

716

lb

6

GUN CLEANER

180

7

XYZ STRIPPER

8

CLEANING
SOLVENTS
MEGASOLVE

9

Material Type

Mar-May

%

25

Hours/Year

5

End

1300

10

Jun-Aug

VOC,
HAP&NON
or
NHx

2080

25

%

Sep-Nov

25

%

Weeks/Year 52__

1700
Emission
Factor

11

EF
Units
(lbs per)

12

Pounds of
pollutant*
sent
off site

13

Capture
Efficiency
%

Control
ID

Control
Efficiency
Code**

15

Estimated
Emissions
(lbs/yr)

VOC

1.0

lb

gl

VOC

7.2

gl

569

%

%

727

1300

gl

VOC

3.3

gl

1,884

%

%

2,406

358

gl

VOC

6.4

gl

1,006

%

%

1,285

2258

gl

VOC

6.8

gl

6,741

%

%

8,613

%

%

95 %

1

14

Control
Efficiency
%

80 %

3

172

Note: Do NOT change preprinted Process ID numbers. See page 6 of these instructions for information on how to delete materials that are no longer used, or to assign Process
ID numbers for new materials.

* If you have off-site recycling/disposal of any of the materials listed above, you must complete an Off-site Recycling/Disposal Form to receive
credit for reduced emissions.
NOTE:

This example shows the case where 2,400 of the original 4,096 gallons of materials #6 through 9 were captured
for off-site recycling, and the pollutant content of the waste material was estimated to be 75% of the
original. The pounds of pollutant sent off-site shown in column 12 is calculated on the example Off-Site
Recycling/Disposal Form on the next page.

Maricopa County Emissions Inventory Unit

18

Instructions for Reporting 2014 Emissions

EXAMPLE
Off-Site Recycling/Disposal Form 2014

Permit number(s)

V99999

NOTE: If you need blank copies of this form, call the Emissions Inventory Unit at
(602) 506-6790 or consult our web page at
http://www.maricopa.gov/aq/divisions/planning_analysis/emissions_inventory/Default.aspx
Provide one off-site recycling/disposal form for each waste stream at your business location. A waste stream is the waste from one
or more processes mixed together to make one waste product before it is taken off site for recycling, disposal or combustion.
1) Assign a unique two-digit ID number to identify the waste stream that will be described below.
01
(Start with ID# 01 for first waste stream. Make copies of a blank Off-Site Recycling/Disposal form and use 02 for second,
etc.)
Check one:

2,400

pounds
gallons

2) What was the quantity of this waste stream in 2014?
Indicate whether this quantity is reported in pounds or gallons. Keep waste disposal company manifests as proof that this
amount of waste was taken off-site.
3) What was the average pollutant content of the waste stream? NOTE: Report in the same units (pounds or gallons) as used
in line 2.
VOC

4.25

lbs/unit

HAP&NON

lbs/ unit NHx

lbs/ unit

NOTE: Waste normally has less pollutant content than the new product. Some of the
pollutant evaporates during the use of the product, and there is usually dirt, water or
other contaminants in the waste stream. The estimated pollutant content of the waste is
usually between 50% and 95% of the new product. This example estimates an average VOC
content (on line 3) to be 75% of the original VOC content of 5.67 lbs/gal., to account
for evaporation and contaminants. See page 20 to calculate a weighted average.
4) Calculate the total annual pollutant content of the waste in this waste stream.
(volume of waste, from Line 2) × (pollutant content, from Line 3) = Total pollutants in waste stream, in lbs/yr.
VOC

10,200

lbs/yr HAP&NON

lbs/yr

NHx

lbs/yr

5) List the process ID numbers of the processes contributing to this waste stream. Also estimate the pounds of pollutant
that each process contributed to this waste stream.
NOTE: In this example, the amount each process material contributed to total pollutants
in the waste stream (Line 4) is based on the percentage, by weight, of each material
that contributed to the waste stream (e.g., Process ID #6 contributed 5.6%, therefore
5.6% × 10,200 lbs/yr = 569 lbs. See example on page 20).
NOTE: Column totals in the table below must equal the total for each pollutant type reported on line 4. The quantities
you report below for each pollutant and process must also be reported in column 12 on the Evaporative Process Form.
Process ID
6 Contributed about
7 Contributed about
8 Contributed about
9 Contributed about

Annual VOC (lbs)
569
1,884
1,006
6,741

Maricopa County Emissions Inventory Unit

lbs
lbs
lbs
lbs

19

Annual
HAP&NON (lbs)

lbs
lbs
lbs
lbs

Annual NHx (lbs)

lbs
lbs
lbs
lbs

Instructions for Reporting 2014 Emissions

EXAMPLE: Documentation of Emission Factor Calculations
Identify the process ID number(s) and pollutant(s). Show calculations made to obtain the emission factors used
for the process(es). Include references to data sources used, including the document name, date published, page
numbers, etc.

Emission Factor Calculation
Process ID

Permit number

201

V99999

Emission factors derived from source test performed 12/2/00 by XYZ Engineering
Company (copy of summary tables also attached).
Outlet (after controls):
CO
= 0.43 lb/hr × 1 hr/60 min × 1 min/77.9 cu. ft × 1,000,000 cu. ft/MMCF
= 92.0 lb/MMCF
= 0.09 lb/hr × 1 hr/60 min × 1 min/77.9 cu. ft × 1,000,000 cu. ft/MMCF
= 19.3 lb/MMCF

NOx

Weighted average sample calculation
NOTE: The example below shows how the weighted average of the materials going into the
waste stream is calculated. A weighted-average emission factor has been calculated
by listing usage amounts and emission factors for each material, summing each
column, and then dividing the total emissions by the total gallons used.
In this example: 23,231 lbs ÷ 4,096 gal = 5.67 lb/gal average VOC content. This
emission factor is then used to calculate the average pollutant content in the Offsite Recycling/Disposal Form example.
This process can also be used to find the weighted average emission factor for
similar materials if you are reporting them together as a single line item on the
Evaporative Process form. Refer to the explanation of “grouping” on page 6.

Process
ID #
6
7
8
9

Material Type
gun cleaner
xyz stripper
cleaning solvent
MEGASOLVE
Totals:
Average
VOC content:

Maricopa County Emissions Inventory Unit

2014
Usage

Units

180
1,300
358
2,258
4,096

gal
gal
gal
gal
gal

VOC
(lbs/unit)
7.2
3.3
6.4
6.8

23,231 lbs.
4,096 gals

20

VOC Emissions
(= Usage × VOC
content)
1,296 lbs.
4,290 lbs.
2,291 lbs.
15,354 lbs.
23,231 lbs.
=

Percent contributed
to waste stream

5.6 %

18.5
9.9
66.1
100.0

%
%
%
%

5.67
lb/gal

Instructions for Reporting 2014 Emissions

EXAMPLE (for all sources except Title V sources)
Data Certification Form 2014

Permit number

999999

For EACH pollutant listed, total up all emissions recorded on your General Process and Evaporative Process Forms. Enter these
numbers in column 1, “Totals from Process Forms.” Report any emissions from accidental releases in column 2.
Add the figures in each row across, and enter the result in column 3, “Total Emissions”.
NOTE: “Accidental Releases” reported in column 2 should include all excess emissions
reported to the Department under Rule 140, Section 500.
(1)
Totals from
Process Forms

Summary of 2014 Annual Emissions:

2,113
0
0
354
24,220
9,815
645
3,091

CO
NHx
Lead

HAP&NON
VOC
NOx
SOx
PM10

(2)
+ Accidental
Releases

0
0
0
0
0
0
0
0

(3)
= TOTAL
2014 Emissions

2,113
0
0
354
24,220
9,815
645
3,091

NOTE: Review specific requirements for data confidentiality on page 5. We cannot hold
any data confidential without the required documentation.

TO COMPLETE YOUR EMISSIONS INVENTORY REPORT:

-

Complete the Confidentiality Statement below.
Sign and date this form below where indicated.
Send the original copy of your completed forms to: Maricopa County Air Quality Dept.,
Emissions Inventory Unit,1001 North Central Avenue, Suite 125, Phoenix, AZ 85004.
Keep a copy of all forms for your records.

CONFIDENTIALITY STATEMENT:

This annual emissions report contains requests to keep some data confidential.
YES
NO
If you check “YES”, you must submit documentation and meet certain requirements before your data can be deemed confidential.
See enclosed instructions for further details.
NOTE: The Data Certification form must be signed by a responsible company official.
CERTIFICATION STATEMENT:
I declare under penalty of perjury that the data (e.g. inputs, emission factors, controls, and annual emissions) presented herein
represents the best available information and is true, accurate and complete to the best of my knowledge.
___________________________________________________________________________________________________________
Signature of owner/business officer
Date of signature
Telephone number
___________________________________________________________________________________________________________
Type or print full name of owner/business officer
Type or print full title

Maricopa County Emissions Inventory Unit

21

Instructions for Reporting 2014 Emissions

How to calculate an emission fee (for Title V sources only):
1. For each pollutant listed on the “Data Certification/Fee Calculation” form, total up all emissions
recorded on your General Process and Evaporative Process Forms. Enter these numbers in column 1,
“Totals from Process Forms.”
NOTE: While most processes that generate PM10 should be reported on line 5 of the Data Certification/Fee
Calculation form, “[f]ugitive emissions of PM10 from activities other than crushing, belt transfers, screening,
or stacking” (County Rule 280, § 305.2d) are NOT subject to annual emission fees. The most common
occurrences of these PM10-producing activities that are NON-billable are listed below:
SCC codes and description of PM10-producing processes that are NOT subject to emission fees

SCC

30200814
30300834
30400737
30500120
30500121
30500134
30500135
30500141
30500143
30500203
30500212
30500213
30500290
30500303
30500608
30500708
30501710
30502007
30502012
30502504
30502507
30502760
30531090
30532007
30704002
31100199
31100299
50100401
50100402
50100403
50100404
50100405

Major Category Subcategory
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Industrial Processes
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal
Waste Disposal

Food and Agriculture
Primary Metal Production
Secondary Metal Production
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Mineral Products
Pulp and Paper & Wood Pdts.
Building Construction
Building Construction
Solid Waste Disposal
Solid Waste Disposal
Solid Waste Disposal
Solid Waste Disposal
Solid Waste Disposal

Facility / Process Type

Feed Manufacture
Iron Production
Steel Foundries
Asphalt Roofing Manufacture
Asphalt Roofing Manufacture
Asphalt Roofing Manufacture
Asphalt Roofing Manufacture
Asphalt Roofing Manufacture
Asphalt Roofing Manufacture
Asphalt Concrete
Asphalt Concrete
Asphalt Concrete
Asphalt Concrete
Brick Manufacture
Cement Manufacturing (Dry Process)
Cement Manufacturing (Wet Process)
Mineral Wool
Stone Quarrying - Processing
Stone Quarrying - Processing
Construction Sand and Gravel
Construction Sand and Gravel
Industrial Sand and Gravel
Coal Mining, Cleaning, Material Handling
Stone Quarrying - Processing
Bulk Handling and Storage - Wood/Bark
Construction: Building Contractors
Demolitions/Special Trade Contracts
Landfill Dump
Landfill Dump
Landfill Dump
Landfill Dump
Landfill Dump

Process Description

Storage
Paved Road Travel
Raw Material Silo
Storage Bins: Ferric Chloride
Storage Bins: Mineral Stabilizer
Blown Saturant Storage
Blown Coating Storage
Granules Storage
Mineral Dust Storage
Storage Piles
Heated Asphalt Storage Tanks
Storage Silo
Haul Roads: General
Storage of Raw Materials
Raw Material Piles
Raw Material Piles
Storage of Oils and Binders
Open Storage
Hauling
Hauling
Storage Piles
Sand Handling, Transfer, & Storage
Haul Roads: General
Open Storage
Stockpiles
Other Not Classified
Other Construction/Demolition
Unpaved Road Traffic
Fugitive Emissions
Area Method
Trench Method
Ramp Method

2. Report any accidental releases in column 2. Add columns 1 and 2 together for each pollutant, and enter
the sum in column 3. Sum lines 1 through 5 together, and enter the total on line 6.
3. Divide your facility's total billable emissions (on line 6) by 2000 to convert pounds into tons. Round to
the nearest ton. Enter this value on line 7. Multiply this number by $42.21, and enter the result on line
8. This is your 2014 emission fee.

Maricopa County Emissions Inventory Unit

22

Instructions for Reporting 2014 Emissions

EXAMPLE (for Title V sources only)
Data Certification/Fee Calculation Form 2014

Permit number

V99999

For EACH pollutant listed, total up all emissions recorded on your General Process and Evaporative Process Forms. Enter these
numbers in column 1, “Totals from Process Forms.” Report any emissions from accidental releases in column 2.
Add the figures in each row across, and enter the result in column 3, “Total Emissions”.
Carefully follow the instructions on lines 6 through 8 to calculate any emission fee owed.
NOTE: “Accidental Releases” reported in column 2 should include all excess emissions
reported to the Department under Rule 140, Section 500.
(1)
Totals from
Process Forms

Summary of 2014 Annual Emissions:

2,113
0
0
2,400

CO
NHx
Lead
PM10 (non-billable; see page 22)
1
2
3
4
5
6
7

8

(2)
+ Accidental
Releases

(3)
= TOTAL
2014 Emissions

0
0
0
0

2,113
0
0
2,400

Emissions fees are based on your emissions of the following pollutants ONLY:

HAP&NON
VOC
NOx
SOx
PM10 (billable; see page 22)

Add “TOTAL” column from lines 1 through 5 ONLY:

354
24,220
9,815
645
691

0
0
0
0
0

354
24,220
9,815
645
691
35,725

Divide the total on line 6 by 2000 (pounds per ton) to get tons, and round the number to the
nearest ton. (Drop any decimal of .499 or less. Increase to the next whole number any
decimal of .500 or more.) Enter the resulting WHOLE NUMBER here.
Multiply line 7 (a WHOLE number) by $ 42.21.
This is your 2014 ANNUAL EMISSION FEE.

18

$

lbs.
TONS

759.78

NOTE: Review specific requirements for data confidentiality on page 5. We cannot hold
any data confidential without the required documentation.

TO COMPLETE YOUR EMISSIONS INVENTORY REPORT:

-

Include a check (made payable to Maricopa County Air Quality Department) for the amount calculated on line 8 above.
Complete the Confidentiality Statement below.
Sign and date this form below where indicated.
Send the Original copy of your completed forms along with any emission fee due to: Maricopa County Air Quality Department,
Emissions Inventory Unit,1001 North Central Avenue, Suite 125, Phoenix, AZ 85004.
Keep a copy of all forms for your records.

CONFIDENTIALITY STATEMENT:

This annual emissions report contains requests to keep some data confidential.
YES
NO
If you check “YES”, you must submit documentation and meet certain requirements before your data can be deemed confidential.
See enclosed instructions for further details.
NOTE: The Data Certification form must be signed by a responsible company official.
CERTIFICATION STATEMENT:
I declare under penalty of perjury that the data (e.g. inputs, emission factors, controls, and annual emissions) presented herein
represents the best available information and is true, accurate and complete to the best of my knowledge.
___________________________________________________________________________________________________________
Signature of owner/business officer
Date of signature
Telephone number
___________________________________________________________________________________________________________
Type or print full name of owner/business officer
Type or print full title

Maricopa County Emissions Inventory Unit

23

Instructions for Reporting 2014 Emissions

Return to Table of Appendices

Appendix B. Rule Effectiveness (RE) Studies
1. Introduction
Rule effectiveness (RE) studies are designed to assess the success of regulatory rules at controlling their targeted emissions. It is acknowledged that facilities and source categories subject to
control techniques and devices mandated by rules do not always achieve 100% compliance with
those requirements. Given this reality, the US EPA recommends the use of rule effectiveness
studies to improve the quality of emission estimates presented in emission inventories.
Once an RE rate has been calculated, its value is applied to relevant sources at an individual
process level, thus adjusting (i.e., increasing) emission estimates to reflect a lower degree of
control efficiency. The following example illustrates how the application of rule effectiveness
can significantly affect the resulting emission estimates. The calculations below reflect a process
whose reported emissions are controlled via a control device with a nominal 90% control
efficiency (CE). In the second equation, an RE rate of 83% is applied to the controlled process.
Emissions before the application of rule effectiveness:
Uncontrolled emissions ×
100 tons

×

[ 1 – ( CE ) ]

= Emissions after control

[ 1 – (0.90) ]

= 10.0 tons

Emissions including the application of an 83% rule effectiveness (RE):
Uncontrolled emissions × [ 1 – (CE × RE) ]
100 tons

= Emissions after control and RE

× [ 1 – (0.90 × 0.83) ] = 25.3 tons

In general, the RE rate is applied to all processes where a control device or control technique is
in use. There are, however, some limitations to this blanket rule, as expressed in US EPA’s most
recent guidance:
…not all emission estimates involving use of a control device or technique need to
be adjusted to account for RE…For example, a state or local agency may conclude that a control device that operates in conjunction with a continuous emissions monitor, or is equipped with an automatic shutdown device, may provide a
sufficient level of assurance that intended emission reductions will be achieved,
and therefore an adjustment for rule effectiveness is not necessary. Another
example would be in instances where a direct determination of emissions, such as
via a mass balance calculation, can be made. (US EPA, 2005)
Another complication in any attempt to apply a blanket RE percentage rate occurs where control
device efficiencies are extremely high. Some categories of control devices routinely operate at
efficiencies of 99% or greater (e.g., baghouses, thermal oxidizers). For these activities, even
small adjustments through the application of RE can cause a dramatic, and unrealistic, increase
in reported emissions. As an example, a process with a control device of 99.9% efficiency may
report controlled emissions of 10 tons. If an RE rate of 85% were applied to this process, the
adjusted emissions would total 1,508.5 tons (an increase of nearly 15,000%). In these types of
instances, the department evaluated the affected processes on a case-by-case basis to determine
the appropriateness of applying an RE adjustment.
2014 Periodic Emissions Inventory for PM10

B–1

Maricopa County, AZ • September 2016

2. Calculating Rule Effectiveness Rates for Rules 310, 310.01, and 316
Rule effectiveness studies adjust the emissions from subject facilities and source categories to
account for times of non-compliance and control device equipment failure. Of particular importance to the Maricopa County Air Quality Department (MCAQD) are those rules that control
particulate matter release, since parts of the county have been designated as nonattainment areas
in regard to US EPA PM10 standards. Consequently, the rule effectiveness studies presented in
this section deal with the control of criteria pollutant PM10.
Source-specific rule effectiveness studies were undertaken as part of this project to adjust the
emissions from subject facilities and source categories to account for times of non-compliance
and control device equipment failure by incorporating applicable compliance history data to
ascribe a percentage rate (RE rate) at which the subject rule(s) attains the intended emissions
reductions. These source-specific studies use data from inspections conducted for calendar year
2010 to determine the rate of compliance of subject facilities and source categories with Rule
310 (Fugitive Dust from Dust-Generating Operations), Rule 310.01 (Fugitive Dust from NonTraditional Sources of Fugitive Dust), and Rule 316 (Nonmetallic Mineral Processing).
Rule effectiveness rates were calculated separately for Title V and non-Title V permitted
facilities. These are described in Section 2.3. Final RE rates are listed in Table B–1 below.
Table B–1. Rule effectiveness rates for 2014, listed by rule or source category analyzed.

Rule/
Source category
Rule 310
Rule 310.01
Rule 316
Title V facilities
Non-Title V facilities

Rule Effectiveness
(RE) rate
90.94%
97.48%
81.08%
90.44%
89.00%

The resulting rule effectiveness rates shown above have been applied to relevant point and area
source inventory categories and are reflected in the emission estimates presented in applicable
sections of Chapters 2 and 3.
The US EPA has provided a number of guidance documents that detail the use and formulation
of rule effectiveness studies (US EPA, 2005; 1994; 1992). The most recent of these documents
states, “First and foremost, an agency responsible for emissions inventory preparation should
attempt to obtain facility specific data from as many sources as possible, and use the collected
information to make a refined source or source category RE determination” (US EPA, 2005).
Given this directive, MCAQD developed a rule effectiveness study methodology that utilizes all
available compliance data to produce a RE rate that best reflects the field effectiveness of the
rule. By using the entire population of data for the prescribed time period, (calendar year 2014)
the statistical validity of the RE rate greatly improves.
The source-specific RE rates presented here are developed from statistical examination of
recorded inspection data. This is the rate at which inspection staff is observing facility and
source category compliance in the field. While this provides the most direct measure of rule
effectiveness, it can still be an incomplete picture of overall rule effectiveness. In the case of the
source-specific studies for those sources directly affected by a county air quality rule (Rules 310,
310.01, and 316) the compliance rate is used as the RE rate. These sources tend to have a
focused, homogeneous set of processes. This, combined with the fact that these studies not only
2014 Periodic Emissions Inventory for PM10

B–2

Maricopa County, AZ • September 2016

contain the entire population of affected sources but are also very large sample sizes, gives confidence that inconsistencies of individual inspections are already addressed in practice. To
further focus the study of these sources each unique permit was classified as “in violation” if any
inspection during the allotted time period resulted in an emission based violation or as “in compliance” if no violations were issued or an administrative based violation was issued.
A total of five distinct rule effectiveness rates were calculated for use in this emissions inventory: three source-specific rule effectiveness determinations (Rule 310, Rule 310.01, and Rule
316) along with two multi-rule determinations (Title V and non-Title V permitted facilities).
The following three sections describe in further detail the data and methods used in developing
the Rule 310, Rule 310.01, and Rule 316 RE factors.
2.1 Calculating Rule Effectiveness for Sources Subject to Rule 310
Sources subject to the department Rule 310 (Fugitive Dust from Dust-Generating Operations) are
most often those construction sites where the disturbance of earth is occurring. The RE rate for
Rule 310 sources is developed from the observed compliance rate of permitted sites.
The compliance rate for Rule 310 sources uses inspection data of issued dust permits between
January 2010 and December 2010. Only inspections that result in a finding of compliance or
non-compliance (i.e., “in violation”) are considered in the compliance rate. Inspections conducted solely to confirm the closing of a permit, or inspections where a compliance determination could not be made, were not included in the development of the compliance rate. Using
these criteria, a total of 9,798 inspections were conducted on 2,632 issued permits, out of a
possible pool of 5,391 issued permits. Dust Control Permits are only valid for 12 months, and
expire on the anniversary of their issue date; for instance a permit issued on January 22, 2009
would have a January 22, 2010 expiration date. This permit would therefore only have
“operated” 22 days in the inspection period on which this compliance data is based. Some issued
permits also experience limited operations, perhaps only a month or two, but in most cases these
permits are left open by the permit holder for the entire 12 months. Given these realities, it is not
unexpected that 2,759 out of the pool of 5,391 permits received no compliance determination
inspection during the 12-month period of January 2010–December 2010. Conversely, over 48%
of all issued permits that received a compliance determination inspection were inspected two or
more times.
Of the inspected sources listed above, individual compliance rates are determined on a permit by
permit basis. Any permit that received at least one emissions-related violation during any
inspection conducted between January 2010 and December 2010 received a compliance rate of
0%. Permitted sites that had no recorded emissions-related violations during the study period
received a compliance rate of 100%. Of the permits with violations noted, 171 (84%) were
emissions-related (track-out, visible emissions, recordkeeping, silt content, etc.), with the
remaining 32 (16%) violating permits being procedural (inadequate dust control plan, late fees,
etc.). The permit-specific compliance rates were summed and averaged to produce an overall
grouped compliance rate of 93.50%.
2.2 Calculating Rule Effectiveness for Sources Subject to Rule 310.01
The majority of sources subject to Rule 310.01 (Fugitive Dust from Non-Traditional Sources of
Fugitive Dust) are vacant lots. It is estimated that there are presently more than 100,000 vacant
2014 Periodic Emissions Inventory for PM10

B–3

Maricopa County, AZ • September 2016

lots in Maricopa County. Rule 310.01 sources generally do not require a permit, unlike Rule 310
and Rule 316 sources. The RE rate for Rule 310.01 sources is calculated based upon vacant lot
inspection compliance rates.
During the study period (January 2010 – December 2010), the department inspectors performed
a total of 4,990 inspections on 4,693 unique vacant lots in Maricopa County. The primary
purpose of a Rule 310.01 inspection is to verify whether or not the vacant lot in question has a
stabilized surface. If the surface is determined to be stable (through a variety of tests), the lot is
deemed to be in compliance. Conversely, if the lot’s surface is deemed to be unstable, then a
violation of Rule 310.01 has occurred. As with Rule 310, a compliance rate is determined
individually for each vacant lot, and then summed and averaged to produce a group compliance
rate. The overall compliance rate for Rule 310.01 sites is 96.06%. All 185 violations noted by
inspectors were emissions-related violations, as all the violations are for unstable soil conditions.
2.3 Calculating Rule Effectiveness for Sources Subject to Rule 316
Facilities subject to Rule 316 (Nonmetallic Mineral Processing) include those involved in the
mining of sand and gravel and the production of concrete products. All such “Rule 316 sites” are
required to have either a Title V or non-Title V permit issued by the department. At present, all
facilities that are subject to Rule 316 have only non-Title V permits. (One class of sources that
has long been an exception to this is portable sources that may operate in more than one county
during the life of the permit; thus these sources are issued permits by the Arizona Department of
Environmental Quality.) The RE rate for Rule 316 sites was determined in a similar fashion as
for Rules 310 and 310.01; i.e., calculated on the basis of the actual observed compliance rates of
permitted sites.
Inspection data for the period January 2010 through December 2010 reveal that 184 Rule 316
facilities were inspected. Overall, 2,400 inspections that resulted in a compliance determination
were performed during the study period. Of the violating facilities noted, 49 (74%) were
emissions-related, with the remaining 17 (26%) primarily procedural in nature. As with Rules
310 and 310.01, a compliance rate is computed for each facility, and then summed and averaged
for the group, resulting in an overall compliance rate of 73.37%.
3. Calculating Rule Effectiveness Rates for Title V Facilities and Non-Title V Facilities
For the remaining emission processes (not regulated by Rules 310, 310.01 and/or 316) that
include a control device or technique that limits particulate matter or ozone formation, a separate
multi-rule RE rate has been developed for permitted Title V and non-title V facilities. Factorbased matrices were utilized to develop RE rates for Title V and non-Title V facilities.
US EPA’s latest guidance (2005) provides a listing of factors that can impact rule effectiveness
rates (e.g., inspector training, frequency of inspections, media outreach, enforcement policies,
recordkeeping requirements, etc.), grouped into major categories such as most important factors,
important factors and other factors. The department used these suggested factors as the basis for
developing the RE matrices contained in Tables B–3 and B–4.
In brief, the compliance rate developed from inspection data accounts for 70% of the overall RE
rate, while all other factors account for the remaining 30%. Each factor is scored individually,
based upon the department’s success in implementing that factor. As an example, the score for
2014 Periodic Emissions Inventory for PM10

B–4

Maricopa County, AZ • September 2016

the factor “Compliance History” is the compliance rate developed from the study period
inspection data, while the score for “Enforcement Penalties” is based upon the department’s
timely response to, and settlement of, observed violations associated with the subject rule or
source category. The complete matrices are contained in Tables B–3 and B–4.
The data and methods used to develop RE rates for Title V and non-Title V permitted facilities
are described below. The resulting rule effectiveness values for 2014 are summarized in Table
B–2 below.
Table B–2. Rates of compliance and rule effectiveness for 2014, by permit category.
Source category
Compliance rate
Rule Effectiveness (RE) rate
Title V facilities
88.45% *
90.44%
Non-Title V facilities
85.94% *
89.00%

* Compliance rates for both Title V and Non-Title V facilities are based upon 2013–14 inspection data, and reflect
compliance self-monitoring recordkeeping practices, in addition to violation data.

Compliance rates for both Title V and non-Title V facilities are based on two full years of data
(2013 and 2014), since compliance information for these sources tends to be more detailed (as
reflected in the matrix). The compliance rate for these facilities also includes data on selfmonitoring recordkeeping practices in addition to inspection data. The combined scores of the
monitoring data and inspection data divided by the 70% of the overall RE rate comprise the
“compliance rate” portion of the RE calculation matrix, as shown in Tables B–3 and B–4 below.
4. References
US EPA, 1992. Guidelines for Estimating and Applying Rule Effectiveness for Ozone/CO State
Implementation Plan Base Year Inventories. EPA Rep. 452/R-92-010, November 1992.
US EPA, 1994. Rule Effectiveness Guidance: Integration of Inventory, Compliance and
Assessment Applications. EPA Rep. 452/R-94-001, January 1994.
US EPA, 2005. Emissions Inventory Guidance for Implementation of Ozone and Particulate
Matter National Ambient Air Quality Standards (NAAQS) and Regional Haze Regulations.
EPA Rep. 454/R-05-001, November 2005.

2014 Periodic Emissions Inventory for PM10

B–5

Maricopa County, AZ • September 2016

Table B–3. Rule Effectiveness Matrix for Title V Facilities
A. Most important factors (2 criteria, each assigned weighting of 35% of total):
Factor

Monitoring

Compliance
History

Range

Midpoint
value

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%
< 70%

75%
35%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Description
Source-specific monitoring used for compliance
purposes, and monitoring records filed with
regulatory agency at least every 4 months.
Source-specific monitoring used as an indicator of
compliance, and monitoring records filed with
regulatory agency every 6–9 months.
Source-specific monitoring used as an indicator of
compliance, and monitoring records filed with
regulatory agency each year.
General guidance exists for source-specific
enhanced monitoring, and monitoring records
required but aren’t submitted to regulatory agency.
No requirements for any type of monitoring.
The facility has been in compliance for the past
eight quarters.
The facility is believed to have been in compliance
for the past eight quarters, although inspection
frequency is such that this can’t be positively
confirmed.
On schedule; the facility is meeting its compliance
schedule.
In Violation; facility is in violation of emissions
and/or procedural requirements.
High Priority Violator (HPV): the facility is in
significant violation of one or more applicable
requirement of the CAA.

Weight

Value
Score
assigned to (= weight ×
MCAQD
value)

35%

90%

31.50%

8 of 16
facilities

16.98%

8 of 16
facilities

13.13%

Sum:

30.10%

35%

Overall compliance rate for Title V facilities: 88.45%
B. Other important factors (4 criteria, each assigned weighting of 3% of total):

Type of
Inspection

Operation &
Maintenance

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%
< 70%

75%
35%

Inspections involve compliance test methods with
a high degree of accuracy, such as stack testing or
other types of precise emissions measurement.
Inspections involve detailed review of process
parameters & inspection of control equipment.
Inspections involve review of process and
inspection of control equipment.
Inspections generally consist of only a records
review.
Inspections most likely consist of visual inspection
(e.g., opacity), or drive by.
Control equipment operators follow and sign daily
O&M instructions.
Control equipment operators follow daily O&M
instructions.
Control equipment operators follow daily or
weekly O&M instructions.
O&M requirements exist, but on no specific
schedule.
No specific O&M requirements.

2014 Periodic Emissions Inventory for PM10

B–6

3%

97%

2.91%

3%

97%

2.91%

Maricopa County, AZ • September 2016

Table B–3. Rule Effectiveness Matrix for Title V Facilities (continued)

Factor
Unannounced
Inspections

Enforcement
Penalties

Range
94%
100%
87%
93%
81%
86%
70%
80%
< 70%

Midpoint
value
Description
97% Routinely conducted.
90% Sometimes done.
84% Done, but infrequently.
75% Rarely done.
35% Never done.

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Weight
3%

Agency has the authority to impose punitive
measures, including monetary fines, towards
violators such as in delegated Title V Operating
Permit programs.
Agency has the authority to impose punitive
measures, including monetary fines, towards
violators such as in delegated Title V Operating
Permit programs.
Agency has the authority to impose punitive
measures, including monetary fines, towards
violators such as in delegated Title V Operating
Permit programs.
Agency has the authority to impose punitive
measures, including monetary fines, towards
violators such as in delegated Title V Operating
Permit programs.
Agency does not have sufficient authority to
impose punitive measures towards violators.

Value
Score
assigned to (= weight ×
MCAQD
value)
97%
2.91%

3%

97%

2.91%

2%

97%

1.94%

2%

97%

1.94%

C. Other factors (9 criteria, each assigned weighting of 2% of total):

Compliance
Certifications

Inspection
Frequency

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

94%

100%

97%

87%

93%

90%

81%
70%

86%
80%
< 70%

84%
75%
35%

Source subject to Title V or other type of compliance certification.
Source subject to Title V or other type of compliance certification.
Source not subject to any type of compliance certification.
Source not subject to any type of compliance certification.
Source not subject to any type of compliance certification.

Source(s) are inspected once every 2 years or more
frequently.
Source(s) are inspected once every 3 years or more
frequently.
Source(s) are inspected once every 5 years or more
frequently.
Inspection of source(s) infrequent; > every 5 years.
Inspections rarely, if ever, performed.

2014 Periodic Emissions Inventory for PM10

B–7

Maricopa County, AZ • September 2016

Table B–3. Rule Effectiveness Matrix for Title V Facilities (continued)

Factor

EPA HPV
Enforcement

Operator
Training

Media
Publicity

Regulatory
Workshops

Range

Midpoint
value

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Description
Agency has sufficient resources to implement
EPA’s 12/22/98 HPV policy.
Agency’s resources allow it to implement EPA’s
12/22/98 HPV policy in most instances.
Agency’s resources allow it to implement EPA’s
12/22/98 HPV policy in most instances.
Agency’s resources allow it to implement EPA’s
12/22/98 HPV policy more often than not.
Resource constraints prohibit agency from
implementing EPA’s 12/22/98 HPV policy in most
instances.

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

0.8

75%

< 70%

35%

Control equipment operators complete a formal
training program on use of the equipment, and
such program is kept up to date and has been
reviewed by the regulatory agency.
Control equipment operators complete formal
training program, and such program is kept up to
date and available for review by the regulatory
agency upon request.
Control equipment operators complete some
amount of formal training.
Control equipment operators receive only on the
job training.
Control equipment operators receive no specific
training.

100%
93%
86%
80%
< 70%

97%
90%
84%
75%
35%

Media publicity of enforcement actions.
Media publicity of enforcement actions.
Media publicity of enforcement actions.
Media publicity of enforcement actions.
No media publicity of enforcement actions.

94%
87%
81%
70%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Regulatory workshops are available annually,
and/or the implementing agency mails regulatory
information packages each year.
Regulatory workshops are available every 1–2
years, and/or the implementing agency mails
regulatory information packages every 1–2 years.
Regulatory workshops are available every 2–3
years, and/or the implementing agency mails
regulatory information packages once every 2–3
years.
Regulatory workshop not routinely available, but
implementing agency mails regulatory information
packages out about once every 2–3 years.
Regulatory workshops not routinely available.
Implementing agency mails regulatory information
packages infrequently, if ever.

2014 Periodic Emissions Inventory for PM10

B–8

Weight

Value
Score
assigned to (= weight ×
MCAQD
value)

2%

97%

1.94%

2%

84%

1.68%

2%

97%

1.94%

2%

97%

1.94%

Maricopa County, AZ • September 2016

Table B–3. Rule Effectiveness Matrix for Title V Facilities (continued)

Factor

Range

94%

Inspector
Training

Follow-up
Inspections

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

94%
Testing
Guidelines

Midpoint
value

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Description
Inspectors must undergo 2 weeks of comprehensive basic training, and 1–2 weeks of sourcespecific training, and such training is updated each
year.
Inspectors must undergo 1–2 weeks of basic
training and 1 week of source-specific training and
such training is updated every 1–2 years.
Inspectors must undergo 1–2 weeks of basic
training and 3–5 days of source-specific training,
and such training is updated every 1–2 years.
Inspectors must undergo 1–2 weeks of basic
training and 1–3 days of source-specific training,
and such training is updated every 1–2 years.
Inspectors must undergo less than 5 days of basic
training less than 3 days of source-specific
training, and such training is updated only every 2
years or less frequently.

Specific guidelines and schedule for testing and
test methods exist.
Specific guidelines on testing and test methods
exist, but no schedule for testing.
Specific guidelines on testing and test methods
exist, but no schedule for testing.
Specific guidelines on testing and test methods,
but no schedule for testing.
Only general guidance on testing, or no mention of
testing requirements.

Follow-up inspections always or almost always
conducted (90 % of the time or more).
Follow-up inspections usually conducted
(approximately 75% of the time).
Follow-up inspections sometimes conducted
(approximately 50% of the time).
Follow-up inspections infrequently conducted
(approximately 25% of the time).
Follow-up inspections rarely or never conducted
(10% of the time or less)

Overall rule effectiveness score for Title V facilities:

2014 Periodic Emissions Inventory for PM10

B–9

Weight

Value
Score
assigned to (= weight ×
MCAQD
value)

2%

97%

1.94%

2%

97%

1.94%

2%

97%

1.94%

90.44%

Maricopa County, AZ • September 2016

Table B–4. Rule Effectiveness Matrix for Non-Title V Facilities
A. Most important factors (2 criteria, each assigned weighting of 35% of total):
Factor

Monitoring

Compliance
History

Range

Midpoint
value

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%
< 70%

75%
35%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Description
Weight
Source-specific monitoring used for compliance
purposes, and monitoring records filed with
regulatory agency at least every 4 months.
Source-specific monitoring used as an indicator of
compliance, and monitoring records filed with
regulatory agency every 6–9 months.
Source-specific monitoring used as an indicator of
compliance, and monitoring records filed with
regulatory agency each year.
General guidance exists for source-specific
enhanced monitoring, and monitoring records required but aren’t submitted to regulatory agency.
35%
No requirements for any type of monitoring.
The facility has been in compliance for the past
eight quarters.
The facility is believed to have been in compliance
for the past eight quarters, although inspection
frequency is such that this can’t be positively
confirmed.
On schedule; the facility is meeting its compliance
schedule.
In Violation; facility is in violation of emissions
and/or procedural requirements.
High Priority Violator (HPV): the facility is in
significant violation of one or more applicable
requirement of the CAA.

35%

Value
Score
assigned to (= weight ×
MCAQD
value)

75%

26.25%

82 of 137
facilities

20.32%

2 of 137
facilities

0.46%

57 of 137
facilities

13.13%

Sum:

33.91%

Overall compliance rate for Non-Title V facilities: 85.94%
B. Other important factors (4 criteria, each assigned weighting of 3% of total):

Type of
Inspection

Operation &
Maintenance

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%
< 70%

75%
35%

Inspections involve compliance test methods with
a high degree of accuracy, such as stack testing or
other types of precise emissions measurement.
Inspections involve detailed review of process
parameters & inspection of control equipment.
Inspections involve review of process and
inspection of control equipment.
Inspections generally consist of only a records
review.
Inspections most likely consist of visual inspection
(e.g., opacity), or drive by.
Control equipment operators follow and sign daily
O&M instructions.
Control equipment operators follow daily O&M
instructions.
Control equipment operators follow daily or
weekly O&M instructions.
O&M requirements exist, but on no specific
schedule.
No specific O&M requirements.

2014 Periodic Emissions Inventory for PM10

B–10

3%

97%

2.9%

3%

97%

2.91%

Maricopa County, AZ • September 2016

Table B–4. Rule Effectiveness Matrix for Non-Title V Facilities (continued)

Factor
Unannounced
Inspections

Enforcement
Penalties

Range
94%
100%
87%
93%
81%
86%
70%
80%
< 70%

Midpoint
value
97%
90%
84%
75%
35%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Description
Routinely conducted.
Sometimes done.
Done, but infrequently.
Rarely done.
Never done.

Weight
3%

Agency has the authority to impose punitive
measures, including monetary fines, towards
violators such as in delegated Title V Operating
Permit programs.
Agency has the authority to impose punitive
measures, including monetary fines, towards
violators such as in delegated Title V Operating
Permit programs.
Agency has the authority to impose punitive
measures, including monetary fines, towards
violators such as in delegated Title V Operating
Permit programs.
Agency has the authority to impose punitive
measures, including monetary fines, towards
violators such as in delegated Title V Operating
Permit programs.
Agency does not have sufficient authority to
impose punitive measures towards violators.

Value
Score
assigned to (= weight ×
MCAQD
value)
97%
2.91%

3%

97%

2.91%

2%

97%

1.94%

2%

97%

1.94%

C. Other factors (9 criteria, each assigned weighting of 2% of total):

Compliance
Certifications

Inspection
Frequency

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

94%

100%

97%

87%

93%

90%

81%
70%

86%
80%
< 70%

84%
75%
35%

Source subject to Title V or other type of
compliance certification.
Source subject to Title V or other type of
compliance certification.
Source not subject to any type of compliance
certification.
Source not subject to any type of compliance
certification.
Source not subject to any type of compliance
certification.

Source(s) are inspected once every 2 years or more
frequently.
Source(s) inspected every 3 years or more
frequently.
Source(s) inspected every 5 years or more
frequently.
Inspection of source(s) infrequent; > every 5 years.
Inspections rarely, if ever, performed.

2014 Periodic Emissions Inventory for PM10

B–11

Maricopa County, AZ • September 2016

Table B–4. Rule Effectiveness Matrix for Non-Title V Facilities (continued)

Factor

EPA HPV
Enforcement

Operator
Training

Media
Publicity

Regulatory
Workshops

Range

Midpoint
value

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Description
Agency has sufficient resources to implement
EPA’s 12/22/98 HPV policy.
Agency’s resources allow it to implement EPA’s
12/22/98 HPV policy in most instances.
Agency’s resources allow it to implement EPA’s
12/22/98 HPV policy in most instances.
Agency’s resources allow it to implement EPA’s
12/22/98 HPV policy more often than not.
Resource constraints prohibit agency from
implementing EPA’s 12/22/98 HPV policy in most
instances.

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

0.8

75%

< 70%

35%

Control equipment operators complete a formal
training program on use of the equipment; the
program is kept up to date and has been reviewed
by the regulatory agency.
Control equipment operators complete formal
training program, and such program is kept up to
date and available for review by the regulatory
agency upon request.
Control equipment operators complete some
amount of formal training.
Control equipment operators receive only on the
job training.
Control equipment operators receive no specific
training.

100%
93%
86%
80%
< 70%

97%
90%
84%
75%
35%

Media publicity of enforcement actions.
Media publicity of enforcement actions.
Media publicity of enforcement actions.
Media publicity of enforcement actions.
No media publicity of enforcement actions.

94%
87%
81%
70%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Regulatory workshops are available annually,
and/or the implementing agency mails regulatory
information packages each year.
Regulatory workshops are available every 1–2
years, and/or the implementing agency mails
regulatory information packages every 1–2 years.
Regulatory workshops are available every 2–3
years, and/or the implementing agency mails
regulatory information packages once every 2–3
years.
Regulatory workshop not routinely available, but
implementing agency mails regulatory information
packages out about once every 2–3 years.
Regulatory workshops not routinely available. The
implementing agency mails regulatory information
packages infrequently, if ever.

2014 Periodic Emissions Inventory for PM10

B–12

Weight

Value
Score
assigned to (= weight ×
MCAQD
value)

2%

97%

1.94%

2%

84%

1.68%

2%

97%

1.94%

2%

97%

1.94%

Maricopa County, AZ • September 2016

Table B–4. Rule Effectiveness Matrix for Non-Title V Facilities (continued)

Factor

Inspector
Training

Midpoint
value

Range

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

Testing
Guidelines

Follow-up
Inspections

35%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

94%

100%

97%

87%

93%

90%

81%

86%

84%

70%

80%

75%

< 70%

35%

Description
Inspectors must undergo 2 weeks of comprehensive basic training, and 1–2 weeks of sourcespecific training, and such training is updated each
year.
Inspectors must undergo 1–2 weeks of basic
training and 1 week of source-specific training and
such training is updated every 1–2 years.
Inspectors must undergo 1–2 weeks of basic
training and 3–5 days of source-specific training,
and such training is updated every 1–2 years.
Inspectors must undergo 1–2 weeks of basic
training and 1–3 days of source-specific training,
and such training is updated every 1–2 years.
Inspectors must undergo less than 5 days of basic
training less than 3 days of source-specific
training, and such training is updated only every 2
years or less frequently.

Specific guidelines and schedule for testing and
test methods exist.
Specific guidelines on testing and test methods
exist, but no schedule for testing.
Specific guidelines on testing and test methods
exist, but no schedule for testing.
Specific guidelines on testing and test methods,
but no schedule for testing.
Only general guidance on testing, or no mention of
testing requirements.

Follow-up inspections always or almost always
conducted (90 % of the time or more).
Follow-up inspections usually conducted
(approximately 75% of the time).
Follow-up inspections sometimes conducted
(approximately 50% of the time).
Follow-up inspections infrequently conducted
(approximately 25% of the time).
Follow-up inspections rarely or never conducted
(10% of the time or less)

Overall rule effectiveness score for non-Title V facilities:

2014 Periodic Emissions Inventory for PM10

B–13

Weight

Value
Score
assigned to (= weight ×
MCAQD
value)

2%

97%

1.94%

2%

97%

1.94%

2%

97%

1.94%

89.00%

Maricopa County, AZ • September 2016

Return to Table of Appendices

Appendix C. MOVES2014a Local Input Data and RunSpecs
To calculate 2014 annual and typical daily emissions from onroad sources, MOVES2014a was
executed using local input data for each month of the year and each geographic area analyzed
(Maricopa County and the PM10 nonattainment area).
A portion of the MOVES2014a RunSpec Summary, RunSpec, and local input data for Maricopa
County are provided in this appendix as an example.
MOVES2014a RunSpec Summary (Maricopa County)
* Output Database Server Name: [using default]

Urban Unrestricted Access

* Road Type
Off-Network
Rural Restricted Access
Rural Unrestricted Access
Urban Restricted Access

* Pollutants and Processes
Aluminum - Running Exhaust
Aluminum - Start Exhaust
Aluminum - Crankcase Running Exhaust
Aluminum - Crankcase Start Exhaust
Aluminum - Crankcase Extended Idle Exhaust
Aluminum - Extended Idle Exhaust
Aluminum - Auxiliary Power Exhaust
Ammonia (NH3) - Running Exhaust
Ammonia (NH3) - Start Exhaust
Ammonia (NH3) - Crankcase Running Exhaust
Ammonia (NH3) - Crankcase Start Exhaust
Ammonia (NH3) - Crankcase Extended Idle Exhaust
Ammonia (NH3) - Extended Idle Exhaust
Ammonia (NH3) - Auxiliary Power Exhaust
Ammonium (NH4) - Running Exhaust
Ammonium (NH4) - Start Exhaust
Ammonium (NH4) - Crankcase Running Exhaust
Ammonium (NH4) - Crankcase Start Exhaust
Ammonium (NH4) - Crankcase Extended Idle Exhaust
Ammonium (NH4) - Extended Idle Exhaust
Ammonium (NH4) - Auxiliary Power Exhaust
CMAQ5.0 Unspeciated (PMOTHR) - Running Exhaust
CMAQ5.0 Unspeciated (PMOTHR) - Start Exhaust
CMAQ5.0 Unspeciated (PMOTHR) - Crankcase Running Exhaust
CMAQ5.0 Unspeciated (PMOTHR) - Crankcase Start Exhaust
CMAQ5.0 Unspeciated (PMOTHR) - Crankcase Extended Idle
Exhaust
CMAQ5.0 Unspeciated (PMOTHR) - Extended Idle Exhaust
CMAQ5.0 Unspeciated (PMOTHR) - Auxiliary Power Exhaust
Calcium - Running Exhaust
Calcium - Start Exhaust
Calcium - Crankcase Running Exhaust
Calcium - Crankcase Start Exhaust
Calcium - Crankcase Extended Idle Exhaust
Calcium - Extended Idle Exhaust
Calcium - Auxiliary Power Exhaust
Chloride - Running Exhaust
Chloride - Start Exhaust
Chloride - Crankcase Running Exhaust
Chloride - Crankcase Start Exhaust
Chloride - Crankcase Extended Idle Exhaust
Chloride - Extended Idle Exhaust
Chloride - Auxiliary Power Exhaust
Composite - NonECPM - Running Exhaust
Composite - NonECPM - Start Exhaust
Composite - NonECPM - Crankcase Running Exhaust
Composite - NonECPM - Crankcase Start Exhaust
Composite - NonECPM - Crankcase Extended Idle Exhaust
Composite - NonECPM - Extended Idle Exhaust
Composite - NonECPM - Auxiliary Power Exhaust
Elemental Carbon - Running Exhaust
Elemental Carbon - Start Exhaust
Elemental Carbon - Crankcase Running Exhaust

2014 Periodic Emissions Inventory for PM10

C–1

* Scale:
Domain/Scale: County
Calculation Type: Inventory
* Time Spans:
Time Aggregation Level: Hour
Years: 2014
Months: January - December
Days: Weekend & Weekdays
Hours: Start Hour 00:00 - 00:59 | End Hour 23:00 - 23:59
* Geographic Bounds:
Region: County
Selections: ARIZONA - Maricopa County
Domain Input Database: c04013y2014_20151118
* Vehicles/Equipment
On Road Vehicle Equipment:
Compressed natural Gas (CNG) - Transit Bus
Diesel Fuel - Combination Long-haul Truck
Diesel Fuel - Combination Short-haul Truck
Diesel Fuel - Intercity Bus
Diesel Fuel - Light Commercial Truck
Diesel Fuel - Motor Home
Diesel Fuel - Passenger Car
Diesel Fuel - Passenger Truck
Diesel Fuel - Refuse Truck
Diesel Fuel - School Bus
Diesel Fuel - Single Unit Long-haul Truck
Diesel Fuel - Single Unit Short-haul Truck
Diesel Fuel - Transit Bus
Electricity - Light Commercial Truck
Electricity - Passenger Car
Electricity - Passenger Truck
Ethanol (E-85) - Light Commercial Truck
Ethanol (E-85) - Passenger Car
Ethanol (E-85) - Passenger Truck
Gasoline - Combination Short-haul Truck
Gasoline - Light Commercial Truck
Gasoline - Motor Home
Gasoline - Motorcycle
Gasoline - Passenger Car
Gasoline - Passenger Truck
Gasoline - Refuse Truck
Gasoline - School Bus
Gasoline - Single Unit Long-haul Truck
Gasoline - Single Unit Short-haul Truck
Gasoline - Transit Bus

Maricopa County, AZ

• September 2016

Elemental Carbon - Crankcase Start Exhaust
Elemental Carbon - Crankcase Extended Idle Exhaust
Elemental Carbon - Extended Idle Exhaust
Elemental Carbon - Auxiliary Power Exhaust
H2O (aerosol) - Running Exhaust
H2O (aerosol) - Start Exhaust
H2O (aerosol) - Crankcase Running Exhaust
H2O (aerosol) - Crankcase Start Exhaust
H2O (aerosol) - Crankcase Extended Idle Exhaust
H2O (aerosol) - Extended Idle Exhaust
H2O (aerosol) - Auxiliary Power Exhaust
Iron - Running Exhaust
Iron - Start Exhaust
Iron - Crankcase Running Exhaust
Iron - Crankcase Start Exhaust
Iron - Crankcase Extended Idle Exhaust
Iron - Extended Idle Exhaust
Iron - Auxiliary Power Exhaust
Magnesium - Running Exhaust
Magnesium - Start Exhaust
Magnesium - Crankcase Running Exhaust
Magnesium - Crankcase Start Exhaust
Magnesium - Crankcase Extended Idle Exhaust
Magnesium - Extended Idle Exhaust
Magnesium - Auxiliary Power Exhaust
Nitrate (NO3) - Running Exhaust
Nitrate (NO3) - Start Exhaust
Nitrate (NO3) - Crankcase Running Exhaust
Nitrate (NO3) - Crankcase Start Exhaust
Nitrate (NO3) - Crankcase Extended Idle Exhaust
Nitrate (NO3) - Extended Idle Exhaust
Nitrate (NO3) - Auxiliary Power Exhaust
Non-carbon Organic Matter (NCOM) - Running Exhaust
Non-carbon Organic Matter (NCOM) - Start Exhaust
Non-carbon Organic Matter (NCOM) - Crankcase Running
Exhaust
Non-carbon Organic Matter (NCOM) - Crankcase Start Exhaust
Non-carbon Organic Matter (NCOM) - Crankcase Extended Idle
Exhaust
Non-carbon Organic Matter (NCOM) - Extended Idle Exhaust
Non-carbon Organic Matter (NCOM) - Auxiliary Power Exhaust
Organic Carbon - Running Exhaust
Organic Carbon - Start Exhaust
Organic Carbon - Crankcase Running Exhaust
Organic Carbon - Crankcase Start Exhaust
Organic Carbon - Crankcase Extended Idle Exhaust
Organic Carbon - Extended Idle Exhaust
Organic Carbon - Auxiliary Power Exhaust
Oxides of Nitrogen (NOx) - Running Exhaust
Oxides of Nitrogen (NOx) - Start Exhaust
Oxides of Nitrogen (NOx) - Crankcase Running Exhaust
Oxides of Nitrogen (NOx) - Crankcase Start Exhaust
Oxides of Nitrogen (NOx) - Crankcase Extended Idle Exhaust
Oxides of Nitrogen (NOx) - Extended Idle Exhaust
Oxides of Nitrogen (NOx) - Auxiliary Power Exhaust
Potassium - Running Exhaust
Potassium - Start Exhaust
Potassium - Crankcase Running Exhaust
Potassium - Crankcase Start Exhaust
Potassium - Crankcase Extended Idle Exhaust
Potassium - Extended Idle Exhaust
Potassium - Auxiliary Power Exhaust
Primary Exhaust PM10 - Total - Running Exhaust
Primary Exhaust PM10 - Total - Start Exhaust
Primary Exhaust PM10 - Total - Crankcase Running Exhaust
Primary Exhaust PM10 - Total - Crankcase Start Exhaust
Primary Exhaust PM10 - Total - Crankcase Extended Idle Exhaust
Primary Exhaust PM10 - Total - Extended Idle Exhaust
Primary Exhaust PM10 - Total - Auxiliary Power Exhaust
Primary Exhaust PM2.5 - Total - Running Exhaust
Primary Exhaust PM2.5 - Total - Start Exhaust
Primary Exhaust PM2.5 - Total - Crankcase Running Exhaust
Primary Exhaust PM2.5 - Total - Crankcase Start Exhaust
Primary Exhaust PM2.5 - Total - Crankcase Extended Idle Exhaust

2014 Periodic Emissions Inventory for PM10

Primary Exhaust PM2.5 - Total - Extended Idle Exhaust
Primary Exhaust PM2.5 - Total - Auxiliary Power Exhaust
Primary PM10 - Brakewear Particulate - Brakewear
Primary PM10 - Tirewear Particulate - Tirewear
Primary PM2.5 - Brakewear Particulate - Brakewear
Primary PM2.5 - Tirewear Particulate - Tirewear
Silicon - Running Exhaust
Silicon - Start Exhaust
Silicon - Crankcase Running Exhaust
Silicon - Crankcase Start Exhaust
Silicon - Crankcase Extended Idle Exhaust
Silicon - Extended Idle Exhaust
Silicon - Auxiliary Power Exhaust
Sodium - Running Exhaust
Sodium - Start Exhaust
Sodium - Crankcase Running Exhaust
Sodium - Crankcase Start Exhaust
Sodium - Crankcase Extended Idle Exhaust
Sodium - Extended Idle Exhaust
Sodium - Auxiliary Power Exhaust
Sulfate Particulate - Running Exhaust
Sulfate Particulate - Start Exhaust
Sulfate Particulate - Crankcase Running Exhaust
Sulfate Particulate - Crankcase Start Exhaust
Sulfate Particulate - Crankcase Extended Idle Exhaust
Sulfate Particulate - Extended Idle Exhaust
Sulfate Particulate - Auxiliary Power Exhaust
Sulfur Dioxide (SO2) - Running Exhaust
Sulfur Dioxide (SO2) - Start Exhaust
Sulfur Dioxide (SO2) - Crankcase Running Exhaust
Sulfur Dioxide (SO2) - Crankcase Start Exhaust
Sulfur Dioxide (SO2) - Crankcase Extended Idle Exhaust
Sulfur Dioxide (SO2) - Extended Idle Exhaust
Sulfur Dioxide (SO2) - Auxiliary Power Exhaust
Titanium - Running Exhaust
Titanium - Start Exhaust
Titanium - Crankcase Running Exhaust
Titanium - Crankcase Start Exhaust
Titanium - Crankcase Extended Idle Exhaust
Titanium - Extended Idle Exhaust
Titanium - Auxiliary Power Exhaust
Total Energy Consumption - Running Exhaust
Total Energy Consumption - Start Exhaust
Total Energy Consumption - Extended Idle Exhaust
Total Energy Consumption - Auxiliary Power Exhaust
Total Gaseous Hydrocarbons - Running Exhaust
Total Gaseous Hydrocarbons - Start Exhaust
Total Gaseous Hydrocarbons - Evap Permeation
Total Gaseous Hydrocarbons - Evap Fuel Vapor Venting
Total Gaseous Hydrocarbons - Evap Fuel Leaks
Total Gaseous Hydrocarbons - Crankcase Running Exhaust
Total Gaseous Hydrocarbons - Crankcase Start Exhaust
Total Gaseous Hydrocarbons - Crankcase Extended Idle Exhaust
Total Gaseous Hydrocarbons - Refueling Displacement Vapor Loss
Total Gaseous Hydrocarbons - Refueling Spillage Loss
Total Gaseous Hydrocarbons - Extended Idle Exhaust
Total Gaseous Hydrocarbons - Auxiliary Power Exhaust
* Manage Input Data Sets
Selections: / StageII_Input / Stage II Refueling Input
* Output
General Output:
Output Database: c04013y2014_20151118_out
Units: Mass Units (Grams) | Energy Units (Joules) | Distance
Units (Miles)
Activity: Distance Traveled | Source Hours | Source Hours
Idling | Source Hours Operating | Source Hours
Parked | Population | Starts
Output Emissions Detail:
Always: Time (Month) | Location (COUNTY) | Pollutant
For All Vehicle/Equipment Categories: Fuel Type | Emission
Process
On Road: SCC

C–2

Maricopa County, AZ

• September 2016

MOVES2014a RunSpec (Maricopa County)
<runspec version="MOVES2014a-20151028">
<description><![CDATA[2014 PEI for Maricopa County]]></description>
<models>
<model value="ONROAD"/>
</models>
<modelscale value="Inv"/>
<modeldomain value="SINGLE"/>
<geographicselections>
<geographicselection type="COUNTY" key="4013" description="ARIZONA - Maricopa County"/>
</geographicselections>
<timespan>
<year key="2014"/>
<month id="1"/>
<month id="2"/>
<month id="3"/>
<month id="4"/>
<month id="5"/>
<month id="6"/>
<month id="7"/>
<month id="8"/>
<month id="9"/>
<month id="10"/>
<month id="11"/>
<month id="12"/>
<day id="2"/>
<day id="5"/>
<beginhour id="1"/>
<endhour id="24"/>
<aggregateBy key="Hour"/>
</timespan>
<onroadvehicleselections>
<onroadvehicleselection fueltypeid="3" fueltypedesc="Compressed Natural Gas (CNG)" sourcetypeid="42" sourcetypename="Transit
Bus"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="62" sourcetypename="Combination Long-haul
Truck"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="61" sourcetypename="Combination Short-haul
Truck"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="41" sourcetypename="Intercity Bus"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="32" sourcetypename="Light Commercial Truck"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="54" sourcetypename="Motor Home"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="21" sourcetypename="Passenger Car"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="31" sourcetypename="Passenger Truck"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="51" sourcetypename="Refuse Truck"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="43" sourcetypename="School Bus"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="53" sourcetypename="Single Unit Long-haul
Truck"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="52" sourcetypename="Single Unit Short-haul
Truck"/>
<onroadvehicleselection fueltypeid="2" fueltypedesc="Diesel Fuel" sourcetypeid="42" sourcetypename="Transit Bus"/>
<onroadvehicleselection fueltypeid="9" fueltypedesc="Electricity" sourcetypeid="32" sourcetypename="Light Commercial Truck"/>
<onroadvehicleselection fueltypeid="9" fueltypedesc="Electricity" sourcetypeid="21" sourcetypename="Passenger Car"/>
<onroadvehicleselection fueltypeid="9" fueltypedesc="Electricity" sourcetypeid="31" sourcetypename="Passenger Truck"/>
<onroadvehicleselection fueltypeid="5" fueltypedesc="Ethanol (E-85)" sourcetypeid="32" sourcetypename="Light Commercial Truck"/>
<onroadvehicleselection fueltypeid="5" fueltypedesc="Ethanol (E-85)" sourcetypeid="21" sourcetypename="Passenger Car"/>
<onroadvehicleselection fueltypeid="5" fueltypedesc="Ethanol (E-85)" sourcetypeid="31" sourcetypename="Passenger Truck"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="61" sourcetypename="Combination Short-haul Truck"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="32" sourcetypename="Light Commercial Truck"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="54" sourcetypename="Motor Home"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="11" sourcetypename="Motorcycle"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="21" sourcetypename="Passenger Car"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="31" sourcetypename="Passenger Truck"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="51" sourcetypename="Refuse Truck"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="43" sourcetypename="School Bus"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="53" sourcetypename="Single Unit Long-haul Truck"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="52" sourcetypename="Single Unit Short-haul Truck"/>
<onroadvehicleselection fueltypeid="1" fueltypedesc="Gasoline" sourcetypeid="42" sourcetypename="Transit Bus"/>
</onroadvehicleselections>
<offroadvehicleselections>
</offroadvehicleselections>
<offroadvehiclesccs>
</offroadvehiclesccs>
<roadtypes separateramps="false">
<roadtype roadtypeid="1" roadtypename="Off-Network" modelCombination="M1"/>
<roadtype roadtypeid="2" roadtypename="Rural Restricted Access" modelCombination="M1"/>
<roadtype roadtypeid="3" roadtypename="Rural Unrestricted Access" modelCombination="M1"/>
<roadtype roadtypeid="4" roadtypename="Urban Restricted Access" modelCombination="M1"/>
<roadtype roadtypeid="5" roadtypename="Urban Unrestricted Access" modelCombination="M1"/>
</roadtypes>
<pollutantprocessassociations>
<pollutantprocessassociation pollutantkey="58" pollutantname="Aluminum" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="58" pollutantname="Aluminum" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="58" pollutantname="Aluminum" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="58" pollutantname="Aluminum" processkey="16" processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="58" pollutantname="Aluminum" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="58" pollutantname="Aluminum" processkey="90" processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="58" pollutantname="Aluminum" processkey="91" processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="30" pollutantname="Ammonia (NH3)" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="30" pollutantname="Ammonia (NH3)" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="30" pollutantname="Ammonia (NH3)" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="30" pollutantname="Ammonia (NH3)" processkey="16" processname="Crankcase Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="30" pollutantname="Ammonia (NH3)" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="30" pollutantname="Ammonia (NH3)" processkey="90" processname="Extended Idle

2014 Periodic Emissions Inventory for PM10

C–3

Maricopa County, AZ

• September 2016

Exhaust"/>
<pollutantprocessassociation pollutantkey="30" pollutantname="Ammonia (NH3)" processkey="91" processname="Auxiliary Power
Exhaust"/>
<pollutantprocessassociation pollutantkey="36" pollutantname="Ammonium (NH4)" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="36" pollutantname="Ammonium (NH4)" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="36" pollutantname="Ammonium (NH4)" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="36" pollutantname="Ammonium (NH4)" processkey="16" processname="Crankcase Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="36" pollutantname="Ammonium (NH4)" processkey="17" processname="Crankcase Extended
Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="36" pollutantname="Ammonium (NH4)" processkey="90" processname="Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="36" pollutantname="Ammonium (NH4)" processkey="91" processname="Auxiliary Power
Exhaust"/>
<pollutantprocessassociation pollutantkey="121" pollutantname="CMAQ5.0 Unspeciated (PMOTHR)" processkey="1" processname="Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="121" pollutantname="CMAQ5.0 Unspeciated (PMOTHR)" processkey="2" processname="Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="121" pollutantname="CMAQ5.0 Unspeciated (PMOTHR)" processkey="15"
processname="Crankcase Running Exhaust"/>
<pollutantprocessassociation pollutantkey="121" pollutantname="CMAQ5.0 Unspeciated (PMOTHR)" processkey="16"
processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="121" pollutantname="CMAQ5.0 Unspeciated (PMOTHR)" processkey="17"
processname="Crankcase Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="121" pollutantname="CMAQ5.0 Unspeciated (PMOTHR)" processkey="90"
processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="121" pollutantname="CMAQ5.0 Unspeciated (PMOTHR)" processkey="91"
processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="55" pollutantname="Calcium" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="55" pollutantname="Calcium" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="55" pollutantname="Calcium" processkey="15" processname="Crankcase Running Exhaust"/>
<pollutantprocessassociation pollutantkey="55" pollutantname="Calcium" processkey="16" processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="55" pollutantname="Calcium" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="55" pollutantname="Calcium" processkey="90" processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="55" pollutantname="Calcium" processkey="91" processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="51" pollutantname="Chloride" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="51" pollutantname="Chloride" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="51" pollutantname="Chloride" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="51" pollutantname="Chloride" processkey="16" processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="51" pollutantname="Chloride" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="51" pollutantname="Chloride" processkey="90" processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="51" pollutantname="Chloride" processkey="91" processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="118" pollutantname="Composite - NonECPM" processkey="1" processname="Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="118" pollutantname="Composite - NonECPM" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="118" pollutantname="Composite - NonECPM" processkey="15" processname="Crankcase
Running Exhaust"/>
<pollutantprocessassociation pollutantkey="118" pollutantname="Composite - NonECPM" processkey="16" processname="Crankcase Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="118" pollutantname="Composite - NonECPM" processkey="17" processname="Crankcase
Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="118" pollutantname="Composite - NonECPM" processkey="90" processname="Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="118" pollutantname="Composite - NonECPM" processkey="91" processname="Auxiliary Power
Exhaust"/>
<pollutantprocessassociation pollutantkey="112" pollutantname="Elemental Carbon" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="112" pollutantname="Elemental Carbon" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="112" pollutantname="Elemental Carbon" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="112" pollutantname="Elemental Carbon" processkey="16" processname="Crankcase Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="112" pollutantname="Elemental Carbon" processkey="17" processname="Crankcase Extended
Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="112" pollutantname="Elemental Carbon" processkey="90" processname="Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="112" pollutantname="Elemental Carbon" processkey="91" processname="Auxiliary Power
Exhaust"/>
<pollutantprocessassociation pollutantkey="119" pollutantname="H2O (aerosol)" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="119" pollutantname="H2O (aerosol)" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="119" pollutantname="H2O (aerosol)" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="119" pollutantname="H2O (aerosol)" processkey="16" processname="Crankcase Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="119" pollutantname="H2O (aerosol)" processkey="17" processname="Crankcase Extended
Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="119" pollutantname="H2O (aerosol)" processkey="90" processname="Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="119" pollutantname="H2O (aerosol)" processkey="91" processname="Auxiliary Power
Exhaust"/>
<pollutantprocessassociation pollutantkey="59" pollutantname="Iron" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="59" pollutantname="Iron" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="59" pollutantname="Iron" processkey="15" processname="Crankcase Running Exhaust"/>
<pollutantprocessassociation pollutantkey="59" pollutantname="Iron" processkey="16" processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="59" pollutantname="Iron" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="59" pollutantname="Iron" processkey="90" processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="59" pollutantname="Iron" processkey="91" processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="54" pollutantname="Magnesium" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="54" pollutantname="Magnesium" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="54" pollutantname="Magnesium" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="54" pollutantname="Magnesium" processkey="16" processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="54" pollutantname="Magnesium" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="54" pollutantname="Magnesium" processkey="90" processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="54" pollutantname="Magnesium" processkey="91" processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="66" pollutantname="Manganese Compounds" processkey="1" processname="Running

2014 Periodic Emissions Inventory for PM10

C–4

Maricopa County, AZ

• September 2016

Exhaust"/>
<pollutantprocessassociation pollutantkey="35" pollutantname="Nitrate (NO3)" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="35" pollutantname="Nitrate (NO3)" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="35" pollutantname="Nitrate (NO3)" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="35" pollutantname="Nitrate (NO3)" processkey="16" processname="Crankcase Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="35" pollutantname="Nitrate (NO3)" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="35" pollutantname="Nitrate (NO3)" processkey="90" processname="Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="35" pollutantname="Nitrate (NO3)" processkey="91" processname="Auxiliary Power
Exhaust"/>
<pollutantprocessassociation pollutantkey="122" pollutantname="Non-carbon Organic Matter (NCOM)" processkey="1"
processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="122" pollutantname="Non-carbon Organic Matter (NCOM)" processkey="2"
processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="122" pollutantname="Non-carbon Organic Matter (NCOM)" processkey="15"
processname="Crankcase Running Exhaust"/>
<pollutantprocessassociation pollutantkey="122" pollutantname="Non-carbon Organic Matter (NCOM)" processkey="16"
processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="122" pollutantname="Non-carbon Organic Matter (NCOM)" processkey="17"
processname="Crankcase Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="122" pollutantname="Non-carbon Organic Matter (NCOM)" processkey="90"
processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="122" pollutantname="Non-carbon Organic Matter (NCOM)" processkey="91"
processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="111" pollutantname="Organic Carbon" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="111" pollutantname="Organic Carbon" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="111" pollutantname="Organic Carbon" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="111" pollutantname="Organic Carbon" processkey="16" processname="Crankcase Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="111" pollutantname="Organic Carbon" processkey="17" processname="Crankcase Extended
Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="111" pollutantname="Organic Carbon" processkey="90" processname="Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="111" pollutantname="Organic Carbon" processkey="91" processname="Auxiliary Power
Exhaust"/>
<pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="1" processname="Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="2" processname="Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="15" processname="Crankcase
Running Exhaust"/>
<pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="16" processname="Crankcase
Start Exhaust"/>
<pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="17" processname="Crankcase
Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="90" processname="Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="3" pollutantname="Oxides of Nitrogen (NOx)" processkey="91" processname="Auxiliary
Power Exhaust"/>
<pollutantprocessassociation pollutantkey="53" pollutantname="Potassium" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="53" pollutantname="Potassium" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="53" pollutantname="Potassium" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="53" pollutantname="Potassium" processkey="16" processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="53" pollutantname="Potassium" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="53" pollutantname="Potassium" processkey="90" processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="53" pollutantname="Potassium" processkey="91" processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="100" pollutantname="Primary Exhaust PM10 - Total" processkey="1" processname="Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="100" pollutantname="Primary Exhaust PM10 - Total" processkey="2" processname="Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="100" pollutantname="Primary Exhaust PM10 - Total" processkey="15"
processname="Crankcase Running Exhaust"/>
<pollutantprocessassociation pollutantkey="100" pollutantname="Primary Exhaust PM10 - Total" processkey="16"
processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="100" pollutantname="Primary Exhaust PM10 - Total" processkey="17"
processname="Crankcase Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="100" pollutantname="Primary Exhaust PM10 - Total" processkey="90"
processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="100" pollutantname="Primary Exhaust PM10 - Total" processkey="91"
processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="1" processname="Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="2" processname="Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="15"
processname="Crankcase Running Exhaust"/>
<pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="16"
processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="17"
processname="Crankcase Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="90"
processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="110" pollutantname="Primary Exhaust PM2.5 - Total" processkey="91"
processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="106" pollutantname="Primary PM10 - Brakewear Particulate" processkey="9"
processname="Brakewear"/>
<pollutantprocessassociation pollutantkey="107" pollutantname="Primary PM10 - Tirewear Particulate" processkey="10"
processname="Tirewear"/>
<pollutantprocessassociation pollutantkey="116" pollutantname="Primary PM2.5 - Brakewear Particulate" processkey="9"
processname="Brakewear"/>
<pollutantprocessassociation pollutantkey="117" pollutantname="Primary PM2.5 - Tirewear Particulate" processkey="10"
processname="Tirewear"/>
<pollutantprocessassociation pollutantkey="57" pollutantname="Silicon" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="57" pollutantname="Silicon" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="57" pollutantname="Silicon" processkey="15" processname="Crankcase Running Exhaust"/>

2014 Periodic Emissions Inventory for PM10

C–5

Maricopa County, AZ

• September 2016

<pollutantprocessassociation pollutantkey="57" pollutantname="Silicon" processkey="16" processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="57" pollutantname="Silicon" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="57" pollutantname="Silicon" processkey="90" processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="57" pollutantname="Silicon" processkey="91" processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="52" pollutantname="Sodium" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="52" pollutantname="Sodium" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="52" pollutantname="Sodium" processkey="15" processname="Crankcase Running Exhaust"/>
<pollutantprocessassociation pollutantkey="52" pollutantname="Sodium" processkey="16" processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="52" pollutantname="Sodium" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="52" pollutantname="Sodium" processkey="90" processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="52" pollutantname="Sodium" processkey="91" processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="115" pollutantname="Sulfate Particulate" processkey="1" processname="Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="115" pollutantname="Sulfate Particulate" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="115" pollutantname="Sulfate Particulate" processkey="15" processname="Crankcase
Running Exhaust"/>
<pollutantprocessassociation pollutantkey="115" pollutantname="Sulfate Particulate" processkey="16" processname="Crankcase Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="115" pollutantname="Sulfate Particulate" processkey="17" processname="Crankcase
Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="115" pollutantname="Sulfate Particulate" processkey="90" processname="Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="115" pollutantname="Sulfate Particulate" processkey="91" processname="Auxiliary Power
Exhaust"/>
<pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="1" processname="Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="15" processname="Crankcase
Running Exhaust"/>
<pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="16" processname="Crankcase Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="17" processname="Crankcase
Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="90" processname="Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="31" pollutantname="Sulfur Dioxide (SO2)" processkey="91" processname="Auxiliary Power
Exhaust"/>
<pollutantprocessassociation pollutantkey="56" pollutantname="Titanium" processkey="1" processname="Running Exhaust"/>
<pollutantprocessassociation pollutantkey="56" pollutantname="Titanium" processkey="2" processname="Start Exhaust"/>
<pollutantprocessassociation pollutantkey="56" pollutantname="Titanium" processkey="15" processname="Crankcase Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="56" pollutantname="Titanium" processkey="16" processname="Crankcase Start Exhaust"/>
<pollutantprocessassociation pollutantkey="56" pollutantname="Titanium" processkey="17" processname="Crankcase Extended Idle
Exhaust"/>
<pollutantprocessassociation pollutantkey="56" pollutantname="Titanium" processkey="90" processname="Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="56" pollutantname="Titanium" processkey="91" processname="Auxiliary Power Exhaust"/>
<pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="1" processname="Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="2" processname="Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="90" processname="Extended
Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="91" pollutantname="Total Energy Consumption" processkey="91" processname="Auxiliary
Power Exhaust"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="1" processname="Running
Exhaust"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="2" processname="Start
Exhaust"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="11" processname="Evap
Permeation"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="12" processname="Evap Fuel
Vapor Venting"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="13" processname="Evap Fuel
Leaks"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="15" processname="Crankcase
Running Exhaust"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="16" processname="Crankcase
Start Exhaust"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="17" processname="Crankcase
Extended Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="18" processname="Refueling
Displacement Vapor Loss"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="19" processname="Refueling
Spillage Loss"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="90" processname="Extended
Idle Exhaust"/>
<pollutantprocessassociation pollutantkey="1" pollutantname="Total Gaseous Hydrocarbons" processkey="91" processname="Auxiliary
Power Exhaust"/>
</pollutantprocessassociations>
<databaseselections>
</databaseselections>
<internalcontrolstrategies>
<internalcontrolstrategy
classname="gov.epa.otaq.moves.master.implementation.ghg.internalcontrolstrategies.rateofprogress.RateOfProgressStrategy"><![CDATA
[
useParameters
No
]]></internalcontrolstrategy>
</internalcontrolstrategies>
<inputdatabase servername="" databasename="" description=""/>
<uncertaintyparameters uncertaintymodeenabled="false" numberofrunspersimulation="0" numberofsimulations="0"/>
<geographicoutputdetail description="COUNTY"/>
<outputemissionsbreakdownselection>
<modelyear selected="false"/>
<fueltype selected="true"/>
<emissionprocess selected="true"/>
<onroadoffroad selected="true"/>
<roadtype selected="true"/>
<sourceusetype selected="true"/>

2014 Periodic Emissions Inventory for PM10

C–6

Maricopa County, AZ

• September 2016

<movesvehicletype selected="true"/>
<onroadscc selected="true"/>
<estimateuncertainty selected="false" numberOfIterations="2" keepSampledData="false" keepIterations="false"/>
<sector selected="false"/>
<engtechid selected="false"/>
<hpclass selected="false"/>
<regclassid selected="false"/>
</outputemissionsbreakdownselection>
<outputdatabase servername="" databasename="c04013y2014_20151118_out" description=""/>
<outputtimestep value="Month"/>
<outputvmtdata value="true"/>
<outputsho value="true"/>
<outputsh value="true"/>
<outputshp value="true"/>
<outputshidling value="true"/>
<outputstarts value="true"/>
<outputpopulation value="true"/>
<scaleinputdatabase servername="localhost" databasename="c04013y2014_20151118" description=""/>
<pmsize value="0"/>
<outputfactors>
<timefactors selected="true" units="Months"/>
<distancefactors selected="true" units="Miles"/>
<massfactors selected="true" units="Grams" energyunits="Joules"/>
</outputfactors>
<savedata>
</savedata>
<donotexecute>
</donotexecute>
<generatordatabase shouldsave="false" servername="" databasename="" description=""/>
<donotperformfinalaggregation selected="false"/>
<lookuptableflags scenarioid="c04013y2014_20151118" truncateoutput="true" truncateactivity="true" truncatebaserates="true"/>
</runspec>

MOVES2014a Local Input Data (Maricopa County)
[SourceTypeYear]

[HPMSvTypeYear]
HPMSVtypeID
10
25
40
50
60

yearID
2014
2014
2014
2014
2014

yearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

HPMSBaseYearVMT
183,419,188
30,173,627,159
78,456,880
1,183,539,915
971,500,384

sourceTypeID
11
21
31
32
41
42
43
51
52
53
54
61
62

sourceTypePopulation
90,699
2,221,072
531,215
132,419
238
888
7,962
1,049
37,271
1,567
9,785
6,503
7,070

[FuelFormulation]
Fuel
Fuel
Formulatio Subtype
n
ID
10
10
20
20
30
30
50
51
90
90
96
10
97
10
98
10
99
10
3190
12
3191
12
3192
12
25005
21
27001
51
27002
51
28001
30

Sulfur
Level
30
11
7.6
11
0
338
150
30
90
18.53
14.83
19
15
8
8
7.6

RVP
6.9
0
0
7.7
0
8.7
6.6
6.9
6.9
6.83
8.6170
7.885
0
10.5
7.7
0

[FuelUsageFraction]
countyID
4013
4013
4013
4013
4013
4013

fuelYearID
2014
2014
2014
2014
2014
2014

ETOH
Volume
0
0
0
85
0
0
0
0
0
10.05
10.34
10.1
0
74
74
0

modelYearGroupID
0
0
0
0
0
0

MTBE ETBE TAME Aromatic
Volume Volume Volume Content
0
0
0
26.1
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
26.4
11.7581
0
0
24
0
0
0
26.1
0
0
0
26.1
0
0
0
21.9648
0
0
0
21.8943
0
0
0
21.9175
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0

sourceBinFuelTypeID
1
2
3
5
5
9

2014 Periodic Emissions Inventory for PM10

Olefin
Benzene
Content Content
5.6
1
0
0
0
0
0
0
0
0
11.9
1.64
11
0.8
5.6
1
5.6
1
4.81614
0.53
4.68487
0.53
4.90971
0.53
0
0
0
0
0
0
0
0

fuelSupplyFuelTypeID
1
2
3
1
5
9

C–7

e200
41.09
0
0
49.9
0
50
52
41.09
41.09
44.2567
46.808
45.7798
0
49.9
49.9
0

e300
83.09
0
0
89.5
0
83
84
83.09
83.09
88.7117
89.6701
89.3134
0
89.5
89.5
0

BioDiesel
Ester Cetane PAH
Volume Index Content
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
5
0
0
0
0
0
0
0
0
0
0
0

T50
218
0
0
200
0
199.816
195.735
218
218
211.537
206.331
208.429
0
200
200
0

T90
329
0
0
300
0
329.40
324.86
329
329
303.44
299.09
300.71
0
300
300
0

usageFraction
1
1
1
0.982134
0.017866
1

Maricopa County, AZ

• September 2016

[FuelSupply]
fuelRegionID
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000
1570011000

fuelYearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

monthGroupID fuelFormulationID marketShare marketShareCV
5
3190
1
0.5
6
3190
1
0.5
7
3190
1
0.5
8
3190
1
0.5
9
3190
1
0.5
1
3191
1
0.5
2
3191
1
0.5
3
3191
1
0.5
11
3191
1
0.5
12
3191
1
0.5
4
3192
1
0.5
10
3192
1
0.5
1
25005
1
0.5
2
25005
1
0.5
3
25005
1
0.5
4
25005
1
0.5
5
25005
1
0.5
6
25005
1
0.5
7
25005
1
0.5
8
25005
1
0.5
9
25005
1
0.5
10
25005
1
0.5
11
25005
1
0.5
12
25005
1
0.5
1
27001
1
0.5
2
27001
1
0.5
3
27001
1
0.5
11
27001
1
0.5
12
27001
1
0.5
4
27002
1
0.5
5
27002
1
0.5
6
27002
1
0.5
7
27002
1
0.5
8
27002
1
0.5
9
27002
1
0.5
10
27002
1
0.5
1
28001
1
0.5
2
28001
1
0.5
3
28001
1
0.5
4
28001
1
0.5
5
28001
1
0.5
6
28001
1
0.5
7
28001
1
0.5
8
28001
1
0.5
9
28001
1
0.5
10
28001
1
0.5
11
28001
1
0.5
12
28001
1
0.5
1
90
1
0.5
2
90
1
0.5
3
90
1
0.5
4
90
1
0.5
5
90
1
0.5
6
90
1
0.5
7
90
1
0.5
8
90
1
0.5
9
90
1
0.5
10
90
1
0.5
11
90
1
0.5
12
90
1
0.5

[ZoneMonthHour]
monthI
D
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

zoneID
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130

HourID temperature
1
53
2
52
3
51
4
51
5
50
6
49
7
49
8
49
9
52
10
57
11
62
12
66
13
68
14
70
15
71
16
72
17
71
18
69

relHumidity
41
43
44
44
46
47
46
46
39
31
25
21
18
16
15
15
16
18

monthI
D
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2

2014 Periodic Emissions Inventory for PM10

zoneID
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130

HourID temperature
19
65
20
63
21
61
22
58
23
56
24
55
1
59
2
58
3
57
4
56
5
55
6
54
7
54
8
54
9
58
10
62
11
67
12
70

C–8

relHumidity
22
26
28
33
36
39
35
38
39
40
41
42
43
43
37
31
26
23

monthI
D
2
2
2
2
2
2
2
2
2
2
2
2
3
3
3
3
3
3

zoneID
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130

HourID temperature
13
72
14
74
15
75
16
75
17
75
18
74
19
72
20
69
21
67
22
65
23
63
24
61
1
65
2
64
3
62
4
61
5
59
6
59

Maricopa County, AZ

relHumidity
21
19
18
18
18
18
20
23
26
29
32
34
34
35
37
40
43
44

• September 2016

monthI
D
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6
6

zoneID
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130

HourID temperature
7
58
8
61
9
64
10
68
11
71
12
74
13
77
14
78
15
79
16
80
17
80
18
78
19
76
20
74
21
72
22
70
23
68
24
66
1
72
2
70
3
68
4
66
5
65
6
64
7
64
8
67
9
72
10
75
11
78
12
81
13
83
14
84
15
85
16
86
17
86
18
85
19
83
20
81
21
78
22
77
23
75
24
73
1
80
2
78
3
76
4
74
5
73
6
72
7
74
8
77
9
81
10
84
11
87
12
90
13
91
14
92
15
94
16
94
17
94
18
93
19
92
20
90
21
87
22
85
23
84
24
83
1
90
2
88
3
85
4
84
5
82
6
81
7
83
8
86
9
90
10
94
11
98
12
100
13
102
14
103
15
104
16
105
17
105

relHumidity
44
41
34
29
25
22
19
17
16
16
16
17
19
21
23
24
27
30
19
20
23
25
26
27
27
24
20
18
15
13
11
10
10
10
10
10
10
12
14
15
16
18
15
17
19
21
21
22
21
19
16
14
12
11
10
9
9
9
9
9
9
10
11
12
13
14
13
15
18
19
20
21
20
18
15
13
10
9
8
8
8
7
7

monthI
D
6
6
6
6
6
6
6
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
7
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
8
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
9
10
10
10
10

2014 Periodic Emissions Inventory for PM10

zoneID
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130

HourID temperature
18
104
19
103
20
101
21
98
22
95
23
93
24
92
1
92
2
91
3
90
4
89
5
88
6
87
7
88
8
90
9
93
10
95
11
98
12
100
13
102
14
104
15
105
16
105
17
105
18
104
19
102
20
100
21
98
22
96
23
95
24
93
1
88
2
87
3
86
4
84
5
83
6
83
7
83
8
85
9
88
10
91
11
93
12
95
13
97
14
99
15
100
16
100
17
100
18
99
19
97
20
96
21
93
22
91
23
90
24
89
1
85
2
84
3
83
4
82
5
81
6
80
7
80
8
83
9
86
10
89
11
92
12
94
13
95
14
96
15
96
16
96
17
96
18
95
19
94
20
92
21
90
22
88
23
88
24
86
1
74
2
73
3
72
4
71

C–9

relHumidity
7
8
8
9
11
11
12
33
34
36
37
37
38
37
35
31
28
25
22
20
19
18
17
17
19
21
22
25
27
29
32
41
44
46
47
49
50
50
47
42
37
34
30
29
26
24
23
23
26
26
27
31
36
37
39
44
47
50
52
54
56
55
50
45
38
34
32
31
29
30
30
29
29
30
34
38
40
40
44
45
46
49
51

monthI
D
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
10
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12
12

zoneID
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130
40130

HourID temperature
5
70
6
70
7
70
8
73
9
76
10
80
11
83
12
85
13
87
14
89
15
90
16
90
17
89
18
87
19
85
20
82
21
80
22
79
23
77
24
75
1
61
2
59
3
58
4
57
5
56
6
56
7
56
8
57
9
61
10
66
11
69
12
72
13
75
14
76
15
77
16
77
17
76
18
73
19
71
20
68
21
67
22
65
23
63
24
61
1
54
2
53
3
52
4
51
5
50
6
50
7
50
8
50
9
53
10
56
11
60
12
62
13
64
14
65
15
66
16
66
17
65
18
63
19
61
20
58
21
58
22
57
23
55
24
54

Maricopa County, AZ

relHumidity
50
51
50
46
40
35
31
28
26
24
22
21
22
24
28
34
36
37
41
43
36
39
40
41
42
42
44
41
34
29
26
23
20
19
18
18
18
20
24
27
31
32
34
35
63
65
67
70
72
72
72
72
66
55
49
43
40
38
36
36
37
44
48
55
55
57
61
63

• September 2016

[SourceTypeAgeDistribution]
Source
TypeID
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
11
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
21
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31
31

YearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

AgeID
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22

AgeFraction
0.038851
0.067568
0.058699
0.042019
0.030300
0.065139
0.067779
0.085198
0.082981
0.069257
0.051098
0.058594
0.047297
0.040646
0.033995
0.028188
0.020165
0.015836
0.014886
0.012352
0.009713
0.009185
0.006651
0.004962
0.004540
0.004540
0.004540
0.005068
0.007285
0.006334
0.006334
0.050100
0.076900
0.064800
0.052400
0.047600
0.037500
0.059700
0.068800
0.068900
0.063700
0.058600
0.052300
0.048500
0.042500
0.039500
0.031400
0.024400
0.020300
0.014700
0.013100
0.009600
0.007300
0.005500
0.004800
0.003900
0.003100
0.002500
0.002200
0.001800
0.001500
0.022100
0.081695
0.055524
0.040539
0.038378
0.026072
0.019801
0.051019
0.065069
0.072258
0.059254
0.062216
0.051430
0.047464
0.051500
0.045435
0.034062
0.027786
0.027765
0.019702
0.019161
0.016728
0.011136
0.007571

Source
TypeID
31
31
31
31
31
31
31
31
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
32
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
41
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42

2014 Periodic Emissions Inventory for PM10

YearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

AgeID
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14

AgeFraction
0.006589
0.005906
0.006023
0.004523
0.003103
0.004077
0.003106
0.035108
0.086135
0.057941
0.043586
0.039447
0.026124
0.020848
0.052503
0.069230
0.076084
0.059563
0.059391
0.048796
0.044650
0.048787
0.045632
0.033340
0.026629
0.026523
0.018772
0.018280
0.015767
0.010524
0.007161
0.006290
0.005669
0.005703
0.004298
0.002944
0.003834
0.002913
0.032635
0.072300
0.059200
0.063100
0.040900
0.017800
0.026300
0.053200
0.112200
0.107200
0.073800
0.050800
0.036000
0.027200
0.038000
0.046600
0.042000
0.022600
0.021700
0.018500
0.018700
0.011200
0.007400
0.005400
0.004700
0.006300
0.004100
0.003200
0.002500
0.002000
0.001300
0.003800
0.072300
0.059200
0.063100
0.040900
0.017800
0.026300
0.053200
0.112200
0.107200
0.073800
0.050800
0.036000
0.027200
0.038000
0.046600

C–10

Source
TypeID
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
43
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
51
52
52
52
52
52
52
52

YearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

AgeID
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6

Maricopa County, AZ

AgeFraction
0.042000
0.022600
0.021700
0.018500
0.018700
0.011200
0.007400
0.005400
0.004700
0.006300
0.004100
0.003200
0.002500
0.002000
0.001300
0.003800
0.126012
0.081608
0.075807
0.050205
0.026602
0.032103
0.068206
0.114311
0.118011
0.063606
0.030203
0.021602
0.015701
0.020802
0.048605
0.026302
0.014801
0.013801
0.009201
0.009201
0.005801
0.004100
0.002900
0.003200
0.003200
0.002300
0.001900
0.001300
0.001300
0.000900
0.006407
0.126000
0.081600
0.075800
0.050200
0.026600
0.032100
0.068200
0.114300
0.118000
0.063600
0.030200
0.021600
0.015700
0.020800
0.048600
0.026300
0.014800
0.013800
0.009200
0.009200
0.005800
0.004100
0.002900
0.003200
0.003200
0.002300
0.001900
0.001300
0.001300
0.000900
0.006500
0.116089
0.074980
0.065956
0.047090
0.026475
0.028604
0.063398

• September 2016

Source
TypeID
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
52
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53
53

YearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

AgeID
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26

Source
TypeID
53
53
53
53
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
54
61
61
61
61
61
61
61
61
61
61
61
61
61
61
61
61

AgeFraction
0.100180
0.104724
0.062119
0.038902
0.029700
0.024288
0.029128
0.047409
0.028261
0.018284
0.017559
0.012040
0.011898
0.008784
0.006045
0.004177
0.004124
0.003943
0.003346
0.002635
0.001793
0.002062
0.001505
0.014500
0.127928
0.081924
0.075332
0.050230
0.026607
0.031870
0.067955
0.113257
0.116866
0.063248
0.030347
0.021731
0.015805
0.020928
0.048227
0.026176
0.014812
0.013827
0.009234
0.009236
0.005866
0.004166
0.002929
0.003218
0.003220
0.002353
0.001935

YearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

AgeID
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

Source
TypeID
61
61
61
61
61
61
61
61
61
61
61
61
61
61
61
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62
62

AgeFraction
0.001312
0.001321
0.000916
0.007224
0.126042
0.081627
0.075825
0.050217
0.026609
0.032111
0.068223
0.114338
0.118039
0.063621
0.030210
0.021607
0.015705
0.020807
0.048616
0.026309
0.014805
0.013805
0.009203
0.009203
0.005802
0.004101
0.002901
0.003201
0.003201
0.002301
0.001901
0.001300
0.001300
0.000900
0.006171
0.126005
0.081603
0.075803
0.050202
0.026601
0.032101
0.068203
0.114304
0.118004
0.063602
0.030201
0.021601
0.015701
0.020801
0.048602
0.026301

YearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

AgeID
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
0
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30

AgeFraction
0.014801
0.013801
0.009200
0.009200
0.005800
0.004100
0.002900
0.003200
0.003200
0.002300
0.001900
0.001300
0.001300
0.000900
0.006462
0.126002
0.081601
0.075801
0.050201
0.026600
0.032100
0.068201
0.114302
0.118002
0.063601
0.030200
0.021600
0.015700
0.020800
0.048601
0.026300
0.014800
0.013800
0.009200
0.009200
0.005800
0.004100
0.002900
0.003200
0.003200
0.002300
0.001900
0.001300
0.001300
0.000900
0.006485

[IMCoverage]
polProcess
ID
101
101
101
101
101
101
101
101
101
101
102
102
102
102
102
102
102
102
102
102
112
112
112
112
112
112
112
201
201
201
201

State
ID
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

County
ID
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013

yearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

sourceTypeID
21
21
21
31
31
31
32
32
32
52
21
21
21
31
31
31
32
32
32
52
21
21
31
31
32
32
52
21
21
21
31

fuelTypeID
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

2014 Periodic Emissions Inventory for PM10

IMProgramID
103
106
110
103
106
110
103
106
110
103
103
106
110
103
106
110
103
106
110
103
108
109
108
109
108
109
107
103
106
110
103

Beg
ModelYearID
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1996
1981
1996
1981
1996
1981
1981
1967
1981
1996
1967

C–11

End
ModelYearID
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
2010
1995
2010
1995
2010
1995
2010
1980
1995
2010
1980

inspectFreq
1
2
2
1
2
2
1
2
2
1
1
2
2
1
2
2
1
2
2
1
2
2
2
2
2
2
1
1
2
2
1

Test
StandardsID useIMyn
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
43
N
44
N
43
N
44
N
43
N
44
N
41
N
13
N
31
N
51
N
13
N

Maricopa County, AZ

Compliance
Factor
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
83.814
64.12
83.814
64.12
83.814
64.12
86.2872
57.6164
64.12
90.0428
57.6164

• September 2016

polProcess
ID
201
201
201
201
201
201
202
202
202
202
202
202
202
202
202
202
301
301
301
301
301
301
301
301
301
301
302
302
302
302
302
302
302
302
302
302
101
101
101
101
101
101
101
101
101
101
102
102
102
102
102
102
102
102
102
102
112
112
112
112
112
112
112
201
201
201
201
201
201
201
201
201
201
202
202
202
202
202
202
202
202
202
202
301
301
301
301
301
301
301
301
301
301

State
ID
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

County
ID
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013

yearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

sourceTypeID
31
31
32
32
32
52
21
21
21
31
31
31
32
32
32
52
21
21
21
31
31
31
32
32
32
52
21
21
21
31
31
31
32
32
32
52
21
21
21
31
31
31
32
32
32
52
21
21
21
31
31
31
32
32
32
52
21
21
31
31
32
32
52
21
21
21
31
31
31
32
32
32
52
21
21
21
31
31
31
32
32
32
52
21
21
21
31
31
31
32
32
32
52

fuelTypeID
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5

2014 Periodic Emissions Inventory for PM10

IMProgramID
106
110
103
106
110
103
103
106
110
103
106
110
103
106
110
103
103
106
110
103
106
110
103
106
110
103
103
106
110
103
106
110
103
106
110
103
303
306
310
303
306
310
303
306
310
303
303
306
310
303
306
310
303
306
310
303
308
309
308
309
308
309
307
303
306
310
303
306
310
303
306
310
303
303
306
310
303
306
310
303
306
310
303
303
306
310
303
306
310
303
306
310
303

Beg
ModelYearID
1981
1996
1967
1981
1996
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1996
1981
1996
1981
1996
1981
1981
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967

C–12

End
ModelYearID
1995
2010
1980
1995
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
2010
1995
2010
1995
2010
1995
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010

inspectFreq
2
2
1
2
2
1
1
2
2
1
2
2
1
2
2
1
1
2
2
1
2
2
1
2
2
1
1
2
2
1
2
2
1
2
2
1
1
2
2
1
2
2
1
2
2
1
1
2
2
1
2
2
1
2
2
1
2
2
2
2
2
2
1
1
2
2
1
2
2
1
2
2
1
1
2
2
1
2
2
1
2
2
1
1
2
2
1
2
2
1
2
2
1

Test
StandardsID useIMyn
31
N
51
N
13
N
31
N
51
N
13
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
43
N
44
N
43
N
44
N
43
N
44
N
41
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N

Maricopa County, AZ

Compliance
Factor
64.12
90.0428
57.6164
64.12
90.0428
87.2032
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
83.814
64.12
83.814
64.12
83.814
64.12
86.2872
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032

• September 2016

polProcess
ID
302
302
302
302
302
302
302
302
302
302
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113

State
ID
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

County
ID
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013

yearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

sourceTypeID
21
21
21
31
31
31
32
32
32
52
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
41
42
42
43
43
51
51
52
52
53
53
54
54
61
61
62
62
21
21
21
31
31
31
32
32
32
41
41
42
42
43
43
51
51
52
52
53

fuelTypeID
5
5
5
5
5
5
5
5
5
5
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

2014 Periodic Emissions Inventory for PM10

IMProgramID
303
306
310
303
306
310
303
306
310
303
3
6
10
3
6
10
3
6
10
3
3
3
3
3
3
3
3
3
3
6
10
3
6
10
3
6
10
3
3
3
3
3
3
3
3
3
8
9
11
8
9
11
8
9
11
7
11
7
11
7
11
7
11
7
11
7
11
7
11
7
11
7
11
8
9
11
8
9
11
8
9
11
7
11
7
11
7
11
7
11
7
11
7

Beg
ModelYearID
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1996
1981
1967
1996
1981
1967
1996
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1996
1981
1967
1996
1981
1967
1996
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981

C–13

End
ModelYearID
1980
1995
2010
1980
1995
2010
1980
1995
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
2010
1995
1980
2010
1995
1980
2010
1995
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1995
1980
2010
1995
1980
2010
1995
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010

inspectFreq
1
2
2
1
2
2
1
2
2
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1

Test
StandardsID useIMyn
13
N
31
N
51
N
13
N
31
N
51
N
13
N
31
N
51
N
13
N
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
45
Y
44
Y
41
Y
45
Y
44
Y
41
Y
45
Y
44
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
45
Y
44
Y
41
Y
45
Y
44
Y
41
Y
45
Y
44
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y

Maricopa County, AZ

Compliance
Factor
57.6164
64.12
90.0428
57.6164
64.12
90.0428
57.6164
64.12
90.0428
87.2032
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
89.3396
63.6192
86.7668
83.9792
59.8021
86.7668
78.6188
55.9849
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
89.3396
63.6192
86.7668
83.9792
59.8021
86.7668
78.6188
55.9849
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133

• September 2016

polProcess
ID
113
113
113
113
113
113
113
201
201
201
201
201
201
201
201
201
201
201
201
201
201
201
201
201
201
202
202
202
202
202
202
202
202
202
202
202
202
202
202
202
202
202
202
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
302
302
302
302
302
302
302
302
302
302
302
302
302
302
302
302
302
302
101
101
101
101
101
101
101
101
101
102
102
102
102
102

State
ID
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

County
ID
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013

yearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

sourceTypeID
53
54
54
61
61
62
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62
41
42
43
51
52

fuelTypeID
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1

2014 Periodic Emissions Inventory for PM10

IMProgramID
11
7
11
7
11
7
11
3
6
10
3
6
10
3
6
10
3
3
3
3
3
3
3
3
3
3
6
10
3
6
10
3
6
10
3
3
3
3
3
3
3
3
3
3
6
10
3
6
10
3
6
10
3
3
3
3
3
3
3
3
3
3
6
10
3
6
10
3
6
10
3
3
3
3
3
3
3
3
3
4
4
4
4
4
4
4
4
4
4
4
4
4
4

Beg
ModelYearID
1967
1981
1967
1981
1967
1981
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981

C–14

End
ModelYearID
1980
2010
1980
2010
1980
2010
1980
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010

inspectFreq
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2

Test
StandardsID useIMyn
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y

Maricopa County, AZ

Compliance
Factor
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221

• September 2016

polProcess
ID
102
102
102
102
201
201
201
201
201
201
201
201
201
202
202
202
202
202
202
202
202
202
301
301
301
301
301
301
301
301
301
302
302
302
302
302
302
302
302
302
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
101
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
102
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112
112

State
ID
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

County
ID
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013

yearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

sourceTypeID
53
54
61
62
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
41
42
42
43
43
51
51

fuelTypeID
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5

2014 Periodic Emissions Inventory for PM10

IMProgramID
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
503
506
510
503
506
510
503
506
510
503
503
503
503
503
503
503
503
503
503
506
510
503
506
510
503
506
510
503
503
503
503
503
503
503
503
503
508
509
511
508
509
511
508
509
511
507
511
507
511
507
511
507
511

Beg
ModelYearID
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1996
1981
1967
1996
1981
1967
1996
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967

C–15

End
ModelYearID
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
2010
1995
1980
2010
1995
1980
2010
1995
1980
2010
1980
2010
1980
2010
1980
2010
1980

inspectFreq
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1

Test
StandardsID useIMyn
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
45
Y
44
Y
41
Y
45
Y
44
Y
41
Y
45
Y
44
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y

Maricopa County, AZ

Compliance
Factor
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
89.3396
63.6192
86.7668
83.9792
59.8021
86.7668
78.6188
55.9849
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668

• September 2016

polProcess
ID
112
112
112
112
112
112
112
112
112
112
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
113
201
201
201
201
201
201
201
201
201
201
201
201
201
201
201
201
201
201
202
202
202
202
202
202
202
202
202
202
202
202
202
202
202
202
202
202
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
301
302
302

State
ID
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

County
ID
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013

yearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

sourceTypeID
52
52
53
53
54
54
61
61
62
62
21
21
21
31
31
31
32
32
32
41
41
42
42
43
43
51
51
52
52
53
53
54
54
61
61
62
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
21
21

fuelTypeID
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5

2014 Periodic Emissions Inventory for PM10

IMProgramID
507
511
507
511
507
511
507
511
507
511
508
509
511
508
509
511
508
509
511
507
511
507
511
507
511
507
511
507
511
507
511
507
511
507
511
507
511
503
506
510
503
506
510
503
506
510
503
503
503
503
503
503
503
503
503
503
506
510
503
506
510
503
506
510
503
503
503
503
503
503
503
503
503
503
506
510
503
506
510
503
506
510
503
503
503
503
503
503
503
503
503
503
506

Beg
ModelYearID
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1996
1981
1967
1996
1981
1967
1996
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1981
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981

C–16

End
ModelYearID
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1995
1980
2010
1995
1980
2010
1995
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
2010
1980
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
1980
1995
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
1980
1995

inspectFreq
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
2
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
1
2

Test
StandardsID useIMyn
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
45
Y
44
Y
41
Y
45
Y
44
Y
41
Y
45
Y
44
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
41
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
31
Y

Maricopa County, AZ

Compliance
Factor
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
89.3396
63.6192
86.7668
83.9792
59.8021
86.7668
78.6188
55.9849
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
85.6133
86.7668
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
63.6192
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
63.6192

• September 2016

polProcess
ID
302
302
302
302
302
302
302
302
302
302
302
302
302
302
302
302
101
101
101
101
101
101
101
101
101
102
102
102
102
102
102
102
102
102
201
201
201
201
201
201
201
201
201
202
202
202
202
202
202
202
202
202
301
301
301
301
301
301
301
301
301
302
302
302
302
302
302
302
302
302

State
ID
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4
4

County
ID
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013
4013

yearID
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014
2014

sourceTypeID
21
31
31
31
32
32
32
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62
41
42
43
51
52
53
54
61
62

fuelTypeID
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5
5

2014 Periodic Emissions Inventory for PM10

IMProgramID
510
503
506
510
503
506
510
503
503
503
503
503
503
503
503
503
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504
504

Beg
ModelYearID
1996
1967
1981
1996
1967
1981
1996
1967
1967
1967
1967
1967
1967
1967
1967
1967
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981
1981

C–17

End
ModelYearID
2010
1980
1995
2010
1980
1995
2010
1980
1980
1980
1980
1980
1980
1980
1980
1980
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010
2010

inspectFreq
2
1
2
2
1
2
2
1
1
1
1
1
1
1
1
1
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2
2

Test
StandardsID useIMyn
51
Y
13
Y
31
Y
51
Y
13
Y
31
Y
51
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y
13
Y

Maricopa County, AZ

Compliance
Factor
83.1594
57.2079
63.6192
78.1699
57.2079
63.6192
73.1802
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
57.2079
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221
86.5221

• September 2016

[RoadType]
roadTypeID
2
4

rampFraction
0.071069
0.132624

[RoadTypeDistribution]
sourceTypeID
11
11
11
11
11
21
21
21
21
21
31
31
31
31
31
32
32
32
32
32
41
41
41
41
41
42
42
42
42
42
43
43
43
43
43
51
51
51
51
51
52
52
52
52
52
53
53
53
53
53
54
54
54
54
54
61
61
61
61
61
62
62
62
62
62

roadTypeID
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5

roadTypeVMTFraction
0.00000
0.02599
0.08524
0.30636
0.58240
0.00000
0.02645
0.06762
0.37328
0.53265
0.00000
0.02645
0.06762
0.37328
0.53265
0.00000
0.02645
0.06762
0.37328
0.53265
0.00000
0.15058
0.07218
0.44269
0.33456
0.00000
0.15058
0.07218
0.44269
0.33456
0.00000
0.15058
0.07218
0.44269
0.33456
0.00000
0.05298
0.06458
0.53405
0.34840
0.00000
0.05298
0.06458
0.53405
0.34840
0.00000
0.05298
0.06458
0.53405
0.34840
0.00000
0.05298
0.06458
0.53405
0.34840
0.00000
0.25094
0.06567
0.48229
0.20111
0.00000
0.25094
0.06567
0.48229
0.20111

2014 Periodic Emissions Inventory for PM10

C–18

Maricopa County, AZ

• September 2016

[MonthVMTFraction]
sourceTypeID monthID
11
1
21
1
31
1
32
1
41
1
42
1
43
1
51
1
52
1
53
1
54
1
61
1
62
1
11
2
21
2
31
2
32
2
41
2
42
2
43
2
51
2
52
2
53
2
54
2
61
2
62
2
11
3
21
3
31
3
32
3
41
3
42
3
43
3
51
3
52
3
53
3
54
3
61
3
62
3
11
4
21
4
31
4
32
4
41
4
42
4
43
4
51
4
52
4
53
4
54
4
61
4
62
4
11
5
21
5
31
5
32
5
41
5
42
5
43
5
51
5
52
5
53
5
54
5
61
5
62
5
11
6
21
6
31
6
32
6
41
6
42
6
43
6
51
6
52
6
53
6
54
6
61
6
62
6
11
7
21
7
31
7
32
7
41
7

monthVMTFraction
0.083175
0.083175
0.083175
0.083175
0.083175
0.083175
0.083175
0.083175
0.083175
0.083175
0.083175
0.083175
0.083175
0.085878
0.085878
0.085878
0.085878
0.085878
0.085878
0.085878
0.085878
0.085878
0.085878
0.085878
0.085878
0.085878
0.086154
0.086154
0.086154
0.086154
0.086154
0.086154
0.086154
0.086154
0.086154
0.086154
0.086154
0.086154
0.086154
0.085796
0.085796
0.085796
0.085796
0.085796
0.085796
0.085796
0.085796
0.085796
0.085796
0.085796
0.085796
0.085796
0.084240
0.084240
0.084240
0.084240
0.084240
0.084240
0.084240
0.084240
0.084240
0.084240
0.084240
0.084240
0.084240
0.082456
0.082456
0.082456
0.082456
0.082456
0.082456
0.082456
0.082456
0.082456
0.082456
0.082456
0.082456
0.082456
0.078756
0.078756
0.078756
0.078756
0.078756

2014 Periodic Emissions Inventory for PM10

sourceTypeID monthID
42
7
43
7
51
7
52
7
53
7
54
7
61
7
62
7
11
8
21
8
31
8
32
8
41
8
42
8
43
8
51
8
52
8
53
8
54
8
61
8
62
8
11
9
21
9
31
9
32
9
41
9
42
9
43
9
51
9
52
9
53
9
54
9
61
9
62
9
11
10
21
10
31
10
32
10
41
10
42
10
43
10
51
10
52
10
53
10
54
10
61
10
62
10
11
11
21
11
31
11
32
11
41
11
42
11
43
11
51
11
52
11
53
11
54
11
61
11
62
11
11
12
21
12
31
12
32
12
41
12
42
12
43
12
51
12
52
12
53
12
54
12
61
12
62
12

C–19

monthVMTFraction
0.078756
0.078756
0.078756
0.078756
0.078756
0.078756
0.078756
0.078756
0.080695
0.080695
0.080695
0.080695
0.080695
0.080695
0.080695
0.080695
0.080695
0.080695
0.080695
0.080695
0.080695
0.082213
0.082213
0.082213
0.082213
0.082213
0.082213
0.082213
0.082213
0.082213
0.082213
0.082213
0.082213
0.082213
0.083410
0.083410
0.083410
0.083410
0.083410
0.083410
0.083410
0.083410
0.083410
0.083410
0.083410
0.083410
0.083410
0.083996
0.083996
0.083996
0.083996
0.083996
0.083996
0.083996
0.083996
0.083996
0.083996
0.083996
0.083996
0.083996
0.083232
0.083232
0.083232
0.083232
0.083232
0.083232
0.083232
0.083232
0.083232
0.083232
0.083232
0.083232
0.083232

Maricopa County, AZ

• September 2016

[DayVMTFraction] (July 2014)
Source Month Road
Day
TypeID ID
TypeID dayID VMTFraction
11
7
1
5
0.780932
21
7
1
5
0.780932
31
7
1
5
0.780932
32
7
1
5
0.780932
41
7
1
5
0.780932
42
7
1
5
0.780932
43
7
1
5
0.780932
51
7
1
5
0.780932
52
7
1
5
0.780932
53
7
1
5
0.780932
54
7
1
5
0.780932
61
7
1
5
0.780932
62
7
1
5
0.780932
11
7
2
5
0.783228
21
7
2
5
0.783228
31
7
2
5
0.783228
32
7
2
5
0.783228
41
7
2
5
0.783228
42
7
2
5
0.783228
43
7
2
5
0.783228
51
7
2
5
0.783228
52
7
2
5
0.783228
53
7
2
5
0.783228
54
7
2
5
0.783228
61
7
2
5
0.783228
62
7
2
5
0.783228
11
7
3
5
0.778523
21
7
3
5
0.778523
31
7
3
5
0.778523
32
7
3
5
0.778523
41
7
3
5
0.778523
42
7
3
5
0.778523
43
7
3
5
0.778523
51
7
3
5
0.778523
52
7
3
5
0.778523
53
7
3
5
0.778523
54
7
3
5
0.778523
61
7
3
5
0.778523
62
7
3
5
0.778523
11
7
4
5
0.783228
21
7
4
5
0.783228
31
7
4
5
0.783228
32
7
4
5
0.783228
41
7
4
5
0.783228
42
7
4
5
0.783228
43
7
4
5
0.783228
51
7
4
5
0.783228
52
7
4
5
0.783228
53
7
4
5
0.783228
54
7
4
5
0.783228
61
7
4
5
0.783228
62
7
4
5
0.783228
11
7
5
5
0.778523
21
7
5
5
0.778523
31
7
5
5
0.778523
32
7
5
5
0.778523
41
7
5
5
0.778523
42
7
5
5
0.778523
43
7
5
5
0.778523
51
7
5
5
0.778523
52
7
5
5
0.778523
53
7
5
5
0.778523
54
7
5
5
0.778523
61
7
5
5
0.778523
62
7
5
5
0.778523
11
7
1
2
0.219068
21
7
1
2
0.219068
31
7
1
2
0.219068
32
7
1
2
0.219068

2014 Periodic Emissions Inventory for PM10

Source Month Road
Day
TypeID ID
TypeID dayID VMTFraction
41
7
1
2
0.219068
42
7
1
2
0.219068
43
7
1
2
0.219068
51
7
1
2
0.219068
52
7
1
2
0.219068
53
7
1
2
0.219068
54
7
1
2
0.219068
61
7
1
2
0.219068
62
7
1
2
0.219068
11
7
2
2
0.216772
21
7
2
2
0.216772
31
7
2
2
0.216772
32
7
2
2
0.216772
41
7
2
2
0.216772
42
7
2
2
0.216772
43
7
2
2
0.216772
51
7
2
2
0.216772
52
7
2
2
0.216772
53
7
2
2
0.216772
54
7
2
2
0.216772
61
7
2
2
0.216772
62
7
2
2
0.216772
11
7
3
2
0.221477
21
7
3
2
0.221477
31
7
3
2
0.221477
32
7
3
2
0.221477
41
7
3
2
0.221477
42
7
3
2
0.221477
43
7
3
2
0.221477
51
7
3
2
0.221477
52
7
3
2
0.221477
53
7
3
2
0.221477
54
7
3
2
0.221477
61
7
3
2
0.221477
62
7
3
2
0.221477
11
7
4
2
0.216772
21
7
4
2
0.216772
31
7
4
2
0.216772
32
7
4
2
0.216772
41
7
4
2
0.216772
42
7
4
2
0.216772
43
7
4
2
0.216772
51
7
4
2
0.216772
52
7
4
2
0.216772
53
7
4
2
0.216772
54
7
4
2
0.216772
61
7
4
2
0.216772
62
7
4
2
0.216772
11
7
5
2
0.221477
21
7
5
2
0.221477
31
7
5
2
0.221477
32
7
5
2
0.221477
41
7
5
2
0.221477
42
7
5
2
0.221477
43
7
5
2
0.221477
51
7
5
2
0.221477
52
7
5
2
0.221477
53
7
5
2
0.221477
54
7
5
2
0.221477
61
7
5
2
0.221477
62
7
5
2
0.221477

C–20

Maricopa County, AZ

• September 2016

[HourVMTFraction] (SourceTypeID 21: Passenger Car)
Source Road
TypeID TypeID dayID hourID
21
1
2
1
21
1
2
2
21
1
2
3
21
1
2
4
21
1
2
5
21
1
2
6
21
1
2
7
21
1
2
8
21
1
2
9
21
1
2
10
21
1
2
11
21
1
2
12
21
1
2
13
21
1
2
14
21
1
2
15
21
1
2
16
21
1
2
17
21
1
2
18
21
1
2
19
21
1
2
20
21
1
2
21
21
1
2
22
21
1
2
23
21
1
2
24
21
1
5
1
21
1
5
2
21
1
5
3
21
1
5
4
21
1
5
5
21
1
5
6
21
1
5
7
21
1
5
8
21
1
5
9
21
1
5
10
21
1
5
11
21
1
5
12
21
1
5
13
21
1
5
14
21
1
5
15
21
1
5
16
21
1
5
17
21
1
5
18
21
1
5
19
21
1
5
20
21
1
5
21
21
1
5
22
21
1
5
23
21
1
5
24
21
2
2
1
21
2
2
2
21
2
2
3
21
2
2
4
21
2
2
5
21
2
2
6
21
2
2
7
21
2
2
8
21
2
2
9
21
2
2
10
21
2
2
11
21
2
2
12
21
2
2
13
21
2
2
14
21
2
2
15
21
2
2
16
21
2
2
17
21
2
2
18
21
2
2
19
21
2
2
20
21
2
2
21
21
2
2
22
21
2
2
23
21
2
2
24
21
2
5
1
21
2
5
2
21
2
5
3
21
2
5
4
21
2
5
5
21
2
5
6
21
2
5
7
21
2
5
8
21
2
5
9
21
2
5
10
21
2
5
11
21
2
5
12
21
2
5
13

hourVMT
Fraction
0.0216
0.0156
0.0139
0.0110
0.0142
0.0215
0.0289
0.0354
0.0413
0.0489
0.0551
0.0592
0.0634
0.0639
0.0627
0.0623
0.0627
0.0613
0.0581
0.0505
0.0453
0.0417
0.0356
0.0257
0.0080
0.0055
0.0052
0.0077
0.0223
0.0376
0.0536
0.0654
0.0602
0.0518
0.0501
0.0534
0.0565
0.0595
0.0637
0.0670
0.0688
0.0691
0.0568
0.0408
0.0334
0.0288
0.0211
0.0137
0.0219
0.0162
0.0144
0.0116
0.0159
0.0231
0.0297
0.0358
0.0413
0.0484
0.0545
0.0587
0.0628
0.0632
0.0618
0.0613
0.0617
0.0600
0.0571
0.0503
0.0461
0.0423
0.0358
0.0260
0.0097
0.0069
0.0069
0.0110
0.0339
0.0484
0.0579
0.0612
0.0573
0.0531
0.0504
0.0520
0.0548

Source Road
TypeID TypeID dayID hourID
21
2
5
14
21
2
5
15
21
2
5
16
21
2
5
17
21
2
5
18
21
2
5
19
21
2
5
20
21
2
5
21
21
2
5
22
21
2
5
23
21
2
5
24
21
3
2
1
21
3
2
2
21
3
2
3
21
3
2
4
21
3
2
5
21
3
2
6
21
3
2
7
21
3
2
8
21
3
2
9
21
3
2
10
21
3
2
11
21
3
2
12
21
3
2
13
21
3
2
14
21
3
2
15
21
3
2
16
21
3
2
17
21
3
2
18
21
3
2
19
21
3
2
20
21
3
2
21
21
3
2
22
21
3
2
23
21
3
2
24
21
3
5
1
21
3
5
2
21
3
5
3
21
3
5
4
21
3
5
5
21
3
5
6
21
3
5
7
21
3
5
8
21
3
5
9
21
3
5
10
21
3
5
11
21
3
5
12
21
3
5
13
21
3
5
14
21
3
5
15
21
3
5
16
21
3
5
17
21
3
5
18
21
3
5
19
21
3
5
20
21
3
5
21
21
3
5
22
21
3
5
23
21
3
5
24
21
4
2
1
21
4
2
2
21
4
2
3
21
4
2
4
21
4
2
5
21
4
2
6
21
4
2
7
21
4
2
8
21
4
2
9
21
4
2
10
21
4
2
11
21
4
2
12
21
4
2
13
21
4
2
14
21
4
2
15
21
4
2
16
21
4
2
17
21
4
2
18
21
4
2
19
21
4
2
20
21
4
2
21
21
4
2
22
21
4
2
23
21
4
2
24
21
4
5
1
21
4
5
2

2014 Periodic Emissions Inventory for PM10

C–21

hourVMT
Fraction
0.0609
0.0635
0.0615
0.0599
0.0581
0.0503
0.0387
0.0331
0.0299
0.0239
0.0165
0.0213
0.0151
0.0135
0.0103
0.0124
0.0199
0.0281
0.0349
0.0414
0.0493
0.0558
0.0598
0.0640
0.0646
0.0637
0.0634
0.0638
0.0627
0.0592
0.0508
0.0445
0.0410
0.0354
0.0254
0.0061
0.0040
0.0034
0.0040
0.0096
0.0257
0.0489
0.0700
0.0633
0.0503
0.0498
0.0550
0.0584
0.0580
0.0640
0.0730
0.0785
0.0812
0.0639
0.0430
0.0338
0.0275
0.0179
0.0107
0.0219
0.0162
0.0144
0.0116
0.0159
0.0231
0.0297
0.0358
0.0413
0.0484
0.0545
0.0587
0.0628
0.0632
0.0618
0.0613
0.0617
0.0600
0.0571
0.0503
0.0461
0.0423
0.0358
0.0260
0.0097
0.0069

Source Road
TypeID TypeID dayID hourID
21
4
5
3
21
4
5
4
21
4
5
5
21
4
5
6
21
4
5
7
21
4
5
8
21
4
5
9
21
4
5
10
21
4
5
11
21
4
5
12
21
4
5
13
21
4
5
14
21
4
5
15
21
4
5
16
21
4
5
17
21
4
5
18
21
4
5
19
21
4
5
20
21
4
5
21
21
4
5
22
21
4
5
23
21
4
5
24
21
5
2
1
21
5
2
2
21
5
2
3
21
5
2
4
21
5
2
5
21
5
2
6
21
5
2
7
21
5
2
8
21
5
2
9
21
5
2
10
21
5
2
11
21
5
2
12
21
5
2
13
21
5
2
14
21
5
2
15
21
5
2
16
21
5
2
17
21
5
2
18
21
5
2
19
21
5
2
20
21
5
2
21
21
5
2
22
21
5
2
23
21
5
2
24
21
5
5
1
21
5
5
2
21
5
5
3
21
5
5
4
21
5
5
5
21
5
5
6
21
5
5
7
21
5
5
8
21
5
5
9
21
5
5
10
21
5
5
11
21
5
5
12
21
5
5
13
21
5
5
14
21
5
5
15
21
5
5
16
21
5
5
17
21
5
5
18
21
5
5
19
21
5
5
20
21
5
5
21
21
5
5
22
21
5
5
23
21
5
5
24

Maricopa County, AZ

hourVMT
Fraction
0.0069
0.0110
0.0339
0.0484
0.0579
0.0612
0.0573
0.0531
0.0504
0.0520
0.0548
0.0609
0.0635
0.0615
0.0599
0.0581
0.0503
0.0387
0.0331
0.0299
0.0239
0.0165
0.0213
0.0151
0.0135
0.0103
0.0124
0.0199
0.0281
0.0349
0.0414
0.0493
0.0558
0.0598
0.0640
0.0646
0.0637
0.0634
0.0638
0.0627
0.0592
0.0508
0.0445
0.0410
0.0354
0.0254
0.0061
0.0040
0.0034
0.0040
0.0096
0.0257
0.0489
0.0700
0.0633
0.0503
0.0498
0.0550
0.0584
0.0580
0.0640
0.0730
0.0785
0.0812
0.0639
0.0430
0.0338
0.0275
0.0179
0.0107

• September 2016

[AvgSpeedDistribution] (SourceTypeID 21: Passenger Car and RoadTypeID 2: Rural Restricted Access)
Source Road
Hour
TypeID TypeID DayID
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
15
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
25
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
35
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
45
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
55
21
2
65
21
2
65
21
2
65
21
2
65
21
2
65

avgSpeed
BinID
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5

avgSpeed
Fraction
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000

Source Road
Hour
TypeID TypeID DayID
21
2
65
21
2
65
21
2
65
21
2
65
21
2
65
21
2
65
21
2
65
21
2
65
21
2
65
21
2
65
21
2
65
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
75
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
85
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
95
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
105
21
2
115
21
2
115
21
2
115
21
2
115
21
2
115
21
2
115
21
2
115
21
2
115
21
2
115
21
2
115

2014 Periodic Emissions Inventory for PM10

avgSpeed
BinID
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10

C–22

avgSpeed
Fraction
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.02627
0.00000
0.00000
0.05723
0.02975
0.10615
0.20489
0.56656
0.00915
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.02627
0.00000
0.00000
0.05723
0.02975
0.10615
0.20489
0.56656
0.00915
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.02627
0.00000
0.00000
0.05723
0.02975
0.10615
0.20489
0.56656
0.00915
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000

Source Road
Hour
TypeID TypeID DayID
21
2
115
21
2
115
21
2
115
21
2
115
21
2
115
21
2
115
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
125
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
135
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
145
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
155
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165
21
2
165

Maricopa County, AZ

avgSpeed
BinID
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15

avgSpeed
Fraction
0.00000
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.01914
0.00000
0.00000
0.05332
0.08409
0.22279
0.61647
0.00419
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.01914
0.00000
0.00000
0.05332
0.08409
0.22279
0.61647

• September 2016

Source Road
Hour
TypeID TypeID DayID
21
2
165
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
175
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
185
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
195
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
205
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
215
21
2
225
21
2
225
21
2
225
21
2
225
21
2
225
21
2
225

avgSpeed
BinID
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6

avgSpeed
Fraction
0.00419
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.01914
0.00000
0.00000
0.05332
0.08409
0.22279
0.61647
0.00419
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.01914
0.00000
0.00000
0.05332
0.08409
0.22279
0.61647
0.00419
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000

Source Road
Hour
TypeID TypeID DayID
21
2
225
21
2
225
21
2
225
21
2
225
21
2
225
21
2
225
21
2
225
21
2
225
21
2
225
21
2
225
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
235
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
245
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
12
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
22
21
2
32
21
2
32
21
2
32
21
2
32
21
2
32
21
2
32
21
2
32
21
2
32
21
2
32
21
2
32
21
2
32
21
2
32
21
2
32

2014 Periodic Emissions Inventory for PM10

avgSpeed
BinID
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13

C–23

avgSpeed
Fraction
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000

Source Road
Hour
TypeID TypeID DayID
21
2
32
21
2
32
21
2
32
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
42
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
52
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
62
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
72
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
82
21
2
92
21
2
92
21
2
92
21
2
92

Maricopa County, AZ

avgSpeed
BinID
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4

avgSpeed
Fraction
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.02627
0.00000
0.00000
0.05723
0.02975
0.10615
0.20489
0.56656
0.00915
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.02627
0.00000
0.00000
0.05723
0.02975
0.10615
0.20489
0.56656
0.00915
0.00000
0.00000
0.00000
0.00000

• September 2016

Source Road
Hour
TypeID TypeID DayID
21
2
92
21
2
92
21
2
92
21
2
92
21
2
92
21
2
92
21
2
92
21
2
92
21
2
92
21
2
92
21
2
92
21
2
92
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
102
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
112
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
122
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
132
21
2
142
21
2
142
21
2
142
21
2
142
21
2
142
21
2
142
21
2
142
21
2
142
21
2
142
21
2
142
21
2
142

avgSpeed
BinID
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11

avgSpeed
Fraction
0.00000
0.00000
0.00000
0.02627
0.00000
0.00000
0.05723
0.02975
0.10615
0.20489
0.56656
0.00915
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000

Source Road
Hour
TypeID TypeID DayID
21
2
142
21
2
142
21
2
142
21
2
142
21
2
142
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
152
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
162
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
172
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
182
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
192
21
2
202
21
2
202

2014 Periodic Emissions Inventory for PM10

avgSpeed
BinID
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2

C–24

avgSpeed
Fraction
0.00000
0.00849
0.04656
0.94495
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.01914
0.00000
0.00000
0.05332
0.08409
0.22279
0.61647
0.00419
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.01914
0.00000
0.00000
0.05332
0.08409
0.22279
0.61647
0.00419
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.01914
0.00000
0.00000
0.05332
0.08409
0.22279
0.61647
0.00419
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.01914
0.00000
0.00000
0.05332
0.08409
0.22279
0.61647
0.00419
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000

Source Road
Hour
TypeID TypeID DayID
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
202
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
212
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
222
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
232
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242
21
2
242

Maricopa County, AZ

avgSpeed
BinID
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16

avgSpeed
Fraction
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.00000
0.04740
0.95259
0.00000

• September 2016

[AVFT] (SourceTypeID 42: Transit Bus)
Source
TypeID
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42

Model
Fuel
Eng
YearID TypeID TechID
1960
1
1
1960
2
1
1960
3
1
1961
1
1
1961
2
1
1961
3
1
1962
1
1
1962
2
1
1962
3
1
1963
1
1
1963
2
1
1963
3
1
1964
1
1
1964
2
1
1964
3
1
1965
1
1
1965
2
1
1965
3
1
1966
1
1
1966
2
1
1966
3
1
1967
1
1
1967
2
1
1967
3
1
1968
1
1
1968
2
1
1968
3
1
1969
1
1
1969
2
1
1969
3
1
1970
1
1
1970
2
1
1970
3
1
1971
1
1
1971
2
1
1971
3
1
1972
1
1
1972
2
1
1972
3
1
1973
1
1
1973
2
1
1973
3
1
1974
1
1
1974
2
1
1974
3
1
1975
1
1
1975
2
1
1975
3
1
1976
1
1
1976
2
1
1976
3
1
1977
1
1
1977
2
1
1977
3
1
1978
1
1
1978
2
1
1978
3
1
1979
1
1
1979
2
1
1979
3
1
1980
1
1
1980
2
1
1980
3
1
1981
1
1
1981
2
1
1981
3
1
1982
1
1
1982
2
1
1982
3
1
1983
1
1
1983
2
1
1983
3
1
1984
1
1
1984
2
1
1984
3
1
1985
1
1
1985
2
1
1985
3
1
1986
1
1
1986
2
1
1986
3
1
1987
1
1
1987
2
1
1987
3
1
1988
1
1
1988
2
1
1988
3
1
1989
1
1
1989
2
1

fuelEng
Fraction
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.009615
0.990385
0.000000
0.008696
0.991304
0.000000
0.011321
0.988679
0.000000
0.008081
0.991919
0.000000
0.009671
0.990329
0.000000
0.010448
0.989552
0.000000
0.010243
0.989757
0.000000
0.009825
0.990175
0.000000
0.009990
0.990010
0.000000
0.009441
0.990559

Source
TypeID
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42

2014 Periodic Emissions Inventory for PM10

Model
Fuel
Eng
YearID TypeID TechID
1989
3
1
1990
1
1
1990
2
1
1990
3
1
1991
1
1
1991
2
1
1991
3
1
1992
1
1
1992
2
1
1992
3
1
1993
1
1
1993
2
1
1993
3
1
1994
1
1
1994
2
1
1994
3
1
1995
1
1
1995
2
1
1995
3
1
1996
1
1
1996
2
1
1996
3
1
1997
1
1
1997
2
1
1997
3
1
1998
1
1
1998
2
1
1998
3
1
1999
1
1
1999
2
1
1999
3
1
2000
1
1
2000
2
1
2000
3
1
2001
1
1
2001
2
1
2001
3
1
2002
1
1
2002
2
1
2002
3
1
2003
1
1
2003
2
1
2003
3
1
2004
1
1
2004
2
1
2004
3
1
2005
1
1
2005
2
1
2005
3
1
2006
1
1
2006
2
1
2006
3
1
2007
1
1
2007
2
1
2007
3
1
2008
1
1
2008
2
1
2008
3
1
2009
1
1
2009
2
1
2009
3
1
2010
1
1
2010
2
1
2010
3
1
2011
1
1
2011
2
1
2011
2
11
2011
3
1
2012
1
1
2012
2
1
2012
3
1
2013
1
1
2013
2
1
2013
2
11
2013
3
1
2014
1
1
2014
2
1
2014
3
1
2015
1
1
2015
2
1
2015
3
1
2016
1
1
2016
2
1
2016
3
1
2017
1
1
2017
2
1
2017
3
1
2018
1
1
2018
2
1

C–25

fuelEng
Fraction
0.000000
0.010174
0.982645
0.007181
0.009632
0.971979
0.018389
0.009752
0.944149
0.046099
0.009238
0.914550
0.076212
0.010211
0.904914
0.084876
0.010022
0.836860
0.153118
0.009941
0.892002
0.098057
0.000000
1.000000
0.000000
0.000000
0.000000
1.000000
0.000000
0.000000
1.000000
0.000000
0.000000
1.000000
0.000000
0.000000
1.000000
0.000000
0.000000
1.000000
0.000000
0.000000
1.000000
0.000000
0.327869
0.672131
0.000000
1.000000
0.000000
0.000000
0.075758
0.924242
0.000000
1.000000
0.000000
0.000000
0.385542
0.614458
0.108108
0.135135
0.756757
0.000000
1.000000
0.000000
0.000000
0.048780
0.414634
0.536585
0.000000
0.000000
1.000000
0.045455
0.054545
0.118182
0.781818
0.010417
0.114583
0.875000
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351

Source
TypeID
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42
42

Model
Fuel
Eng
YearID TypeID TechID
2018
3
1
2019
1
1
2019
2
1
2019
3
1
2020
1
1
2020
2
1
2020
3
1
2021
1
1
2021
2
1
2021
3
1
2022
1
1
2022
2
1
2022
3
1
2023
1
1
2023
2
1
2023
3
1
2024
1
1
2024
2
1
2024
3
1
2025
1
1
2025
2
1
2025
3
1
2026
1
1
2026
2
1
2026
3
1
2027
1
1
2027
2
1
2027
3
1
2028
1
1
2028
2
1
2028
3
1
2029
1
1
2029
2
1
2029
3
1
2030
1
1
2030
2
1
2030
3
1
2031
1
1
2031
2
1
2031
3
1
2032
1
1
2032
2
1
2032
3
1
2033
1
1
2033
2
1
2033
3
1
2034
1
1
2034
2
1
2034
3
1
2035
1
1
2035
2
1
2035
3
1
2036
1
1
2036
2
1
2036
3
1
2037
1
1
2037
2
1
2037
3
1
2038
1
1
2038
2
1
2038
3
1
2039
1
1
2039
2
1
2039
3
1
2040
1
1
2040
2
1
2040
3
1
2041
1
1
2041
2
1
2041
3
1
2042
1
1
2042
2
1
2042
3
1
2043
1
1
2043
2
1
2043
3
1
2044
1
1
2044
2
1
2044
3
1
2045
1
1
2045
2
1
2045
3
1
2046
1
1
2046
2
1
2046
3
1
2047
1
1
2047
2
1
2047
3
1
2048
1
1

Maricopa County, AZ

fuelEng
Fraction
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619
0.817351
0.158030
0.024619

• September 2016

Source
TypeID
42
42
42
42

Model
Fuel
Eng
YearID TypeID TechID
2048
2
1
2048
3
1
2049
1
1
2049
2
1

[CountyYear]
countyID
4013

yearID
2014

fuelEng
Fraction
0.817351
0.158030
0.024619
0.817351

refuelingVaporProgramAdjust
0.661

Source
TypeID
42
42
42
42

Model
Fuel
Eng
YearID TypeID TechID
2049
3
1
2050
1
1
2050
2
1
2050
3
1

fuelEng
Fraction
0.158030
0.024619
0.817351
0.158030

refuelingSpillProgramAdjust
0.000

2014 Periodic Emissions Inventory for PM10

C–26

Maricopa County, AZ

• September 2016

Return to Table of Appendices

Appendix D. Emissions from Facilities Treated as Area Sources in the 2014 Periodic
Emissions Inventory for PM10
The table below lists those facilities whose reported 2014 emissions have been included in the area source
categories of this 2014 Periodic Emissions Inventory for Ozone Precursors.
Table D-1. Emissions (tons/yr) from facilities whose emissions are reflected in area source categories in
the 2014 Periodic Emissions Inventory.
ID
1074
133843
132976
1387
969
125823
107220
90012
34139
131474
35541
27925
132483
54414
42432
199
129545
133188
84
3938
130470
36772
53008
85545
41257
131021
69409
4364
36898
4328
1502
2656
50422
1449
31585
781
29946
129595
110901
607
961
74058
3305
226
130047
56105
131634

Business Name
23RD AVE WASTEWATER TREATMENT PLANT
A LEGACY FUNERAL HOME LLC
ABEL FUNERAL SERVICES INC
ABLE STEEL FABRICATORS
AF LORTS MANUFACTURING COMPANY INC
AFFORDABLE CREMATION & BURIAL CHAPEL
ALL PETS GREAT AND SMALL
ALL STATE CREMATORY
ALL WOOD TREASURES CO
ALLIED PACKAGING CORPORATION
ALLIED TUBE AND CONDUIT
AMERICAN CASE & PED MANUFACTURING CO INC
AMERICAN FENCE & SECURITY CO INC
AMERICAN SAND & ROCK
AMERIPRIDE LINEN & APPAREL SERVICE
AMERON WATER TRANSMISSION GROUP, LLC
AMES DIVERSIFIED SERVICES
ANIMAL CREMATION SERVICES
ARIZONA BRAKE & CLUTCH SUPPLY INC
ARIZONA GALVANIZING INC
ARIZONA LANDFILL LLC
ARIZONA MATERIALS
ARIZONA MATERIALS
ARIZONA MATERIALS
ARIZONA MATERIALS LLC
ARIZONA NUTRITIONAL SUPPLEMENTS LLC
ARIZONA POLYMER FLOORING INC
ARIZONA STATE UNIVERSITY
ASPC-LEWIS
ASU MACROTECHNOLOGY WORKS
ATLAS ROOFING CORPORATION
AVIATION DEPT - PHOENIX SKY HARBOR
BAE SYSTEMS AEROSPACE & DEFENSE GROUP
BAKER COMMODITIES
BANK OF AMERICA
BANNER GOOD SAMARITAN MEDICAL CENTER
BANNER THUNDERBIRD MEDICAL CENTER
BARREL O' FUN SNACK FOOD SOUTHWEST
BAY FOAM PRODUCTS INC
BEST FUNERAL SERVICES INC
BIG SURF WATERPARK
BILTMORE SHUTTERS INC
BIMBO BAKERIES USA, INC
BORAL ROOFING LLC
BUESING CORPORATION
BURDETTE CABINET CO INC
CAFE VALLEY INC

2014 Periodic Emission Inventory for PM10

Street address and city
PM10 PM2.5
2470 S 22ND AVE, PHOENIX
0.7
0.5
1722 N BANNING #101, MESA
0.1
0.1
1544 W GRANT ST, PHOENIX
0.6
0.3
4150 E QUARTZ CIR, MESA
0.0
0.0
15836 W EDDIE ALBERT, GOODYEAR 0.0
0.0
1130 S HORNE, MESA
0.0
0.0
1110 S HORNE ST #103, MESA
0.0
0.0
1110 S HORNE #108, MESA
0.8
0.5
2063 E CEDAR ST, TEMPE
0.0
0.0
5640 S 16TH ST, PHOENIX
0.0
0.0
2525 N 27TH AVE, PHOENIX
0.0
0.0
2022 N 22ND AVE, PHOENIX
0.0
0.0
2737 W VIRGINIA AVE, PHOENIX
1.8
1.6
PORTABLE
0.4
0.2
6025 W VAN BUREN ST, PHOENIX
1.1
0.8
2325 S 7TH ST, PHOENIX
0.4
0.1
3015 W CLARENDON AVE, PHOENIX
1.0
0.6
5348 W BETHANY HOME, GLENDALE 0.3
0.2
2211 N BLACK CANYON, PHOENIX
0.0
0.0
15775 W ELWOOD ST, GOODYEAR
7.2
4.3
2750 S 11TH AVE, PHOENIX
1.7
0.7
3636 S 43RD AVE, PHOENIX
13.7
3.2
12820 W ROOKS RD, BUCKEYE
0.8
0.2
PORTABLE #4
2.0
0.6
21838 N 20TH ST, PHOENIX
0.8
0.3
210 S BECK AVE, CHANDLER
4.1
4.1
7731 N 68TH AVE, GLENDALE
0.9
0.9
1551 S RURAL RD, TEMPE
6.7
5.3
26700 S HWY 85, BUCKEYE
0.3
0.3
7700 S RIVER PKWY, TEMPE
0.1
0.1
40 S 45TH AVE, PHOENIX
0.0
0.0
3400 E SKY HARBOR BLVD, PHOENIX 0.2
0.2
7822 S 46TH ST, PHOENIX
0.0
0.0
3602 W ELWOOD ST, PHOENIX
0.2
0.2
2500 W FRYE RD, CHANDLER
0.0
0.0
1111 E MCDOWELL RD, PHOENIX
0.6
0.6
5555 W THUNDERBIRD, GLENDALE
0.2
0.2
7330 W SHERMAN ST, PHOENIX
23.5
5.2
2240 W PEORIA AVE, PHOENIX
0.0
0.0
9380 W PEORIA AVE, PEORIA
0.3
0.2
1500 N MCCLINTOCK DR, TEMPE
0.0
0.0
1138 W WATKINS ST, PHOENIX
0.0
0.0
738 W VAN BUREN ST, PHOENIX
0.4
0.1
1832 S 51ST AVE, PHOENIX
0.1
0.1
11520 E GERMANN RD, CHANDLER
5.9
0.9
3941 N HIGLEY RD, MESA
0.1
0.0
7000 W BUCKEYE RD, PHOENIX
0.2
0.2
D–1

NOx
2.8
0.2
1.1

SOx
2.1
0.0
0.1

0.0
0.6
1.5

0.0
0.1
0.2

0.2
0.1

0.0
0.0

1.7
1.3
0.1
1.8
0.6
0.0
4.4
10.8

0.1
0.0
0.0
0.2
0.1
0.0
0.0
0.4

13.5
9.6
3.0
0.5
3.2
0.0
2.1
3.4
7.6
3.3
6.1
0.3
0.6
2.6

0.4
0.1
0.0
0.0
0.0
0.0
0.0
0.1
0.2
0.2
0.0
0.0
0.1
0.0

1.8
0.3

0.0
0.0

3.2

0.0

NHx

0.0

0.3

0.0

Maricopa County, AZ • September 2016

ID
131208
3442
131966
133365
898
44182
130156
1318
1316
260
98591
98492
63
213
106410
1266
579
129574
1310
823
127623
61573
3441
3403
29919
132552
1075
113723
31570
399
227
1198
289
132333
4368
1407
100059
129
134012
131179
130790
87
45027
1342
50725
40629
51073
127094
40470
51062
48771
1383
109938
26
130260
1505
1488
59426
132911

Business Name
CALGON CARBON CORPORATION
CALJET
CALPORTLAND
CALPORTLAND
CAMINO DEL SOL FUNERAL CHAPEL&CREMATION
CANAM STEEL CORPORATION
CASE FURNITURE & DESIGN, LLC
CAVCO INDUSTRIES INC
CAVCO INDUSTRIES LLC/DURANGO PLANT
CEMEX - 19TH AVE PLANT
CEMEX - 7TH STREET PLANT
CEMEX - BUCKEYE PLANT
CEMEX - EL MIRAGE PLANT
CEMEX - GLENDALE PLANT
CEMEX - SUN CITY EAST PLANTS 4106 & 4118
CEMEX - WEST PLANT
CEMEX - WEST VALLEY PLANT
CEMEX CONSTRUCTION MATERIALS SOUTH LLC
CENTURY GRAPHICS LLC
CHEMRESEARCH CO INC
CINTAS CORPORATION
CIRCLE H SAND & ROCK
CIRCLE K TERMINAL LLC
CITY OF PHOENIX 19TH AVE LANDFILL
CITY OF PHOENIX 27TH AVE LANDFILL
CNH AMERICA, LLC
CO PHX 91ST AVE WWTP
CONTRACTORS LANDFILL & RECYCLING
COPPER STATE RUBBER OF ARIZONA
CORESLAB STRUCTURES (ARIZ) INC
CORROSION ENGINEERING INC
COURIER GRAPHICS CORP
COURTHOUSE AG HOLDINGS LLC
COYOTE TIRE RETREADING, INC.
CRAFTSMEN IN WOOD MFG
CRANE ELECTRONICS, INC
CRM OF AMERICA (NEW AIR)
CROTHALL LAUNDRY SERVICES
CROWN CUSTOM MILLWORK, LLC
CSE OPERATING I, LLC
CUSTOM FAB INC
DECA CREMATION SERVICES INC
DEER VALLEY TRANSFER STATION
DEL RIO LANDFILL
DESERT POWDER COATING
DESERT READY MIX
DIGITAL REALTY TRUST CHANDLER, LLC
DOUBLETREE PAPER MILL LLC
DRAKE MATERIALS PLANT 151
DURANGO CORRECTIONAL FACILITY
EAGLE ROOFING PRODUCTS
EAST VALLEY CREMATORY
EBAY INC
EMPIRE MACHINERY CO
ENTRUSTED PETS, INC.
EXECUTIVE DOOR COMPANY
FARMER'S GIN INC
FEDERAL EXPRESS-PHXR
FINECRAFT CUSTOM WOODWORKS LLC

2014 Periodic Emission Inventory for PM10

Street address and city
521 S BUTTERFIELD TR, GILA BEND
125 N 53RD AVE, PHOENIX
4830 S 43RD AVE, PHOENIX
3410 E VIRGINIA ST, MESA
13738 CAMINO DEL SOL, SUN CITY W
22253 W SOUTHERN AVE, BUCKEYE
1502 E HADLEY ST #100, PHOENIX
1366 S LITCHFIELD RD, GOODYEAR
2502 W DURANGO ST, PHOENIX
3640 S 19TH AVE, PHOENIX
PORTABLE #4, PHOENIX
22625 W BELOAT RD, BUCKEYE
8635 N EL MIRAGE RD, EL MIRAGE
11920 W GLENDALE AVE, GLENDALE
24004 N 107TH AVE, SUN CITY
11701 W INDIAN SCHOOL, PHOENIX
11550 W NORTHERN AVE, GLENDALE
4815 S 67TH AVE, PHOENIX
2960 GRAND AVE, PHOENIX
1130 W HILTON AVE, PHOENIX
2425 W NEVADA ST, CHANDLER
6400 S EL MIRAGE RD, TOLLESON
5333 W VAN BUREN ST, PHOENIX
1701 W LOWER BUCKEYE, PHOENIX
2800 S 27TH AVE, PHOENIX
19501 W NORTHERN AVE, WADDELL
5615 S 91ST AVE #1, TOLLESON
2425 N CENTER ST, MESA
750 S 59TH AVE, PHOENIX
5026 S 43RD AVE, PHOENIX
145 S NINA CIR, MESA
2621 S 37TH ST, PHOENIX
51040 W VALLEY RD, AGUILA
1802 N 23RD AVE, PHOENIX
5441 W HADLEY ST, PHOENIX
340 N ROOSEVELT AVE, CHANDLER
11400 E PECOS RD, MESA
4445 S 36TH ST, PHOENIX
2740 W DEER VALLEY RD, PHOENIX
29115 W BROADWAY RD, BUCKEYE
3065 S 43RD AVE, PHOENIX
2237 S 15TH ST, PHOENIX
2120 W ADOBE DR, PHOENIX
1150 E ELWOOD ST, PHOENIX
4409 S 35TH AVE, PHOENIX
1800 N ALMA SCHOOL RD, MESA
2121 S PRICE RD, CHANDLER
31201 W THAYER RD, GILA BEND
10800 W ROSE GARDEN, SUN CITY
3225 W DURANGO ST, PHOENIX
4602 W ELWOOD ST, PHOENIX
9642 E APACHE TR, MESA
4010 N 3RD ST, PHOENIX
1725 S COUNTRY CLUB DR, MESA
2237 S 15TH ST, PHOENIX
3939 W CLARENDON AVE, PHOENIX
8400 S TURNER RD, BUCKEYE
3002 E OLD TOWER RD, PHOENIX
5775 N 51ST AVE, GLENDALE
D–2

PM10 PM2.5
1.8
1.8
0.0
0.0
1.9
0.8
8.0
3.6
0.1
0.1
0.4
0.3
0.5
0.5
0.1
0.1
0.2
0.2
15.8
3.4
1.9
0.9
0.2
0.2
1.7
0.5
2.4
0.8
1.2
0.2
4.4
1.4
16.6
2.9
0.1
0.0
0.0
0.0
0.0
0.0
0.1
0.1
3.1
0.7
0.9
0.6
8.3
8.2
5.8
5.5
1.4
0.2
6.2
4.3
1.2
0.7
0.0
0.0
8.1
1.3
0.0
0.0
0.0
0.0
3.6
0.3
0.0
0.0
1.8
1.8
0.0
0.0
3.7
0.3
0.3
0.3
0.2
0.2
0.1
0.1
1.3
1.1
0.1
0.0
7.4
7.3
3.9
3.9
0.0
0.0
1.1
0.7
0.3
0.3
6.4
5.2
0.8
0.5
0.1
0.1
5.1
4.0
0.1
0.1
0.3
0.3
0.9
0.9
0.1
0.0
1.2
1.2
10.1
1.5
0.1
0.1
0.0
0.0

NOx
2.5
0.1
0.4
0.0
0.2

SOx
0.2
0.0
0.0
0.0
0.0

3.4
0.1
0.0
0.1
1.8

0.8
0.0
0.0
0.0
4.2

8.7
6.4

0.6
4.2

0.3
0.4
0.8
4.1

0.0
0.0
0.0
0.3

0.4
1.2

0.2
0.4

19.8
8.8
0.5

48.4
0.1
0.0

0.4
0.4
0.0
0.1
0.0
0.1
0.3
4.2

0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.0

0.1
0.6
0.7
0.1
0.0
0.3

0.9
0.0
0.1
0.0
0.0
0.0

12.5
4.0

0.0
0.3

0.9
2.3
0.2
49.2
8.9
0.1

0.0
0.0
0.0
1.3
0.1
0.0

0.3
0.8

0.0
0.0

NHx

Maricopa County, AZ • September 2016

ID
128991
85509
1087
27728
4206
36258
41751
902
73110
1418
515
131841
10
1182
141
4498
699
113855
131334
31565
129711
3536
39213
1059
355
247
348
354
4444
777
31617
3966
89885
130597
43832
131226
130265
983
121
121873
101
25823
1027
130981
725
114904
128509
857
281
443
30357
96886
130111
3300
744
106053
1248
31261
148

Business Name
FISHER SAND & GRAVEL
FISHER SAND & GRAVEL COMPANY
FLEX FOAM DIVISION
FLIPCHIP INTERNATIONAL LLC
FUJI FILM ELECTRONIC MATERIALS USA
G & K SERVICES
GCR TIRE CENTERS
GENERAL DYNAMICS C4 SYSTEMS
GLENN WEINBERGER TOPSOIL INC
GOODRICH CORPORATION
GOODYEAR COMMERCIAL TIRE SERVICE CTRS
GRANITE EXPRESS
GREEN ACRES MORTUARIES & CEMETERIES INC
GREENWOOD MEMORY LAWN MORTUARY
GRO-WELL BRANDS INC
HANSON AGGREGATES LLC
HANSON AGGREGATES OF ARIZONA INC
HANSON AGGREGATES, LLC
HELIAE DEVELOPMENT LLC
HENRY PRODUCTS INC
HERITAGE CREMATORY
HOLSUM BAKERY INC
HOLSUM OF TOLLESON LLC
HONEYWELL ENGINES SYS & SERVICE PHX R&O
HONEYWELL INTERNATIONAL INC
HONEYWELL INTERNATIONAL INC (TEMPE, AZ)
HONEYWELL PHOENIX AVIONICS DEER VALLEY
IMSAMET OF ARIZONA
INFINEON TECHNOLOGIES EPI SERVICES INC
INSULFOAM
INTEL CORP CHANDLER CAMPUS (FAB 6)
INTEL CORP-OCOTILLO CAMPUS
INTERCO PRINT
INTERNATIONAL FLORA TECHNOLOGIES
INTERNATIONAL PAPER
INTERSAN MANUFACTURING
IO PHOENIX ONE, LLC
ISOLA GROUP S A R L
JACKS TIRE & OIL
JAMES EDWARD FURNITURE
JBS TOLLESON INC
JOY GLOBAL - SURFACE MINING
JPCI SERVICES
KELLER ELECTRICAL INDUSTRIES INC
KILAUEA CRUSHERS INC
KILAUEA CRUSHERS INC
KILAUEA CRUSHERS INC
L-3 COMMUNICATIONS CORPORATION
LAFARGE NORTH AMERICA
LAFARGE NORTH AMERICA
LARON INC
LEGENDS FURNITURE
LIFEPLAN CREMATORY INC.
LUKE AFB - 56TH FIGHTER WING
M E GLOBAL INC
M R TANNER MINING
MAAX SPAS INDUSTRIES CORP
MADISON GRANITE SUPPLIES
MAGELLAN AEROSPACE, GLENDALE INC

2014 Periodic Emission Inventory for PM10

Street address and city
PORTABLE #3
PORTABLE #2
617 N 21ST AVE, PHOENIX
3701 E UNIVERSITY DR, PHOENIX
6550 S MOUNTAIN RD, MESA
4804 W ROOSEVELT ST, PHOENIX
2815 N 32ND AVE, PHOENIX
8201 E MCDOWELL RD, SCOTTSDALE
39500 S 99TH AVE, MOBILE
3414 S 5TH ST, PHOENIX
3007 N 31ST AVE, PHOENIX
MORRISTOWN
401 N HAYDEN RD, SCOTTSDALE
2300 W VAN BUREN ST, PHOENIX
2807 S 27TH AVE, PHOENIX
33500 W INDIAN SCHOO, TONOPAH
4002 S 51ST AVE, PHOENIX
6204 W SOUTHERN AVE, LAVEEN
614 E GERMANN RD, GILBERT
302 S 23RD AVE, PHOENIX
12525 NW GRAND AVE, EL MIRAGE
2322 W LINCOLN ST, PHOENIX
9600 W BUCKEYE RD, TOLLESON
1944 E SKY HARBOR CIR, PHOENIX
111 S 34TH ST, PHOENIX
1300 W WARNER RD, TEMPE
21111 N 19TH AVE, PHOENIX
3829 S ESTRELLA PKWY, GOODYEAR
550 W JUANITA AVE, MESA
3401 W COCOPAH ST, PHOENIX
5000 W CHANDLER BLVD, CHANDLER
4500 S DOBSON RD, CHANDLER
4501 W POLK ST, PHOENIX
28633 W PATTERSON RD, BUCKEYE
660 S 83RD AVE, TOLLESON
1746 W FILLMORE ST, PHOENIX
615 N 48TH ST, PHOENIX
165 S PRICE RD, CHANDLER
5925 W MONROE ST, PHOENIX
1555 E JACKSON ST, PHOENIX
651 S 91ST AVE, TOLLESON
112 W IRON AVE, MESA
PORTABLE,
1881 E UNIVERSITY DR, PHOENIX
HWY 74, WICKENBURG
16402 S TUTHILL RD, BUCKEYE
SR 85 & BUCKEYE HILLS, BUCKEYE
1215 S 52ND ST, TEMPE
11500 W BEARDSLEY RD, SUN CITY
21209 W BELOAT RD, BUCKEYE
3550 S 16TH ST, PHOENIX
10300 W BUCKEYE RD, TOLLESON
1216 N 17TH AVE, PHOENIX
14002 W MARAUDER ST, GLENDALE
5857 S KYRENE RD, TEMPE
6515 N EL MIRAGE RD, GLENDALE
25605 S ARIZONA AVE, CHANDLER
29925 N NORTH VALLEY, PHOENIX
5440 W MISSOURI AVE, GLENDALE
D–3

PM10 PM2.5
5.2
1.5
8.1
2.3
0.0
0.0
0.0
0.0
0.1
0.1
0.1
0.1
0.1
0.1
0.1
0.1
13.9
2.1
0.0
0.0
0.0
0.0
1.4
0.7
0.0
0.0
0.5
0.3
2.7
2.2
0.6
0.2
1.4
0.6
0.6
0.3
0.0
0.0
0.0
0.0
0.2
0.1
0.3
0.3
0.2
0.2
0.1
0.1
2.3
2.2
1.5
1.0
0.1
0.1
3.2
2.4
4.0
4.0
0.0
0.0
2.1
2.1
12.7
8.8
0.0
0.0
0.3
0.2
5.8
4.9
0.0
0.0
0.1
0.1
0.3
0.3
1.4
1.4
0.2
0.2
6.5
3.6
0.0
0.0
0.2
0.2
0.3
0.3
11.9
2.5
3.2
0.6
0.9
0.3
0.0
0.0
8.1
1.3
1.2
0.3
0.0
0.0
0.6
0.6
0.4
0.2
0.6
0.6
18.8 15.2
4.4
0.7
0.5
0.5
17.1
3.0
0.3
0.2

NOx
12.1
15.4
0.2
0.4
1.5
1.0

SOx
0.0
1.0
0.0
0.0
0.0
0.0

1.4
0.2
0.0

0.1
0.0
0.0

6.3
0.0
0.9

0.4
0.0
0.1

3.6

0.4

0.2
0.4
0.4
3.6
2.9
1.4
42.0
3.3
1.4
6.4
0.1
0.6
14.5
27.0
0.2
0.1
0.9

0.0
0.0
0.0
0.0
0.0
0.1
8.5
0.0
0.0
0.0
0.0
0.0
0.2
0.7
0.0
0.0
0.0

7.6
10.6
0.0

0.2
0.0
0.0

12.4
0.0
3.3
0.1

0.1
0.0
0.2
0.0

1.0
0.8
0.3

0.1
0.1
0.0

0.1

0.0

0.7
7.7
11.5

0.1
0.2
4.5

25.9
1.0

1.5
0.1

NHx

0.1
0.1

0.3

0.9
0.3
2.7
0.0
0.9

0.0
2.7

Maricopa County, AZ • September 2016

ID
353
15445
1200
244
596
82244
3326
4105
3758
1203
1875
53593
3724
882
264
132523
128379
121682
34197
114015
910
590
129677
620
104156
881
3953
31637
53
4147
101348
528
98
428
130656
733
4004
49047
420
1055
4241
29244
69
126445
27946
1154
57639
116742
108860
75998
60889
1335
131898
537
54
128324
44356
4318
131080

Business Name
MARLAM INDUSTRIES INC
MAYO CLINIC ARIZONA
MEDTRONIC - TEMPE
MELCHER MISSION CHAPEL AND CREMATORY
MELDRUM MORTUARY & CREMATORY
MESA COMMUNITY COLLEGE MORTUARY SCI
MESA FULLY FORMED LLC
MESA INDUSTRIES INC
MESA OIL, INC
MICROCHIP TECHNOLOGY INC
MICROCHIP TECHNOLOGY INC
MICROSEMI CORP
MISSION FOODS-TEMPE
MORTON SALT, INC.
MOUNTAIN VIEW FUNERAL HOME AND CEMETERY
MOUNTAINVIEW CUSTOM CABINETS
MURPHY WALL PRODUCTS INTERNATIONAL INC
MUSKET CORPORATION
NATIONAL GYPSUM COMPANY
NATIONAL SPECIALTY AGGREGATES LLC
NELTEC INC
NK ASPHALT PARTNERS
NO WASTE GRINDINGS
NORTHWEST WATER RECLAMATION PLANT
NRG ENERGY CENTER PHOENIX
NXP SEMICONDUCTORS
OAKCRAFT INC
OLAM COTTON
OLDCASTLE PRECAST INC
OPT CO
ORBITAL SCIENCES CORPORATION
PACKAGING CORPORATION OF AMERICA INC
PALO VERDE NUCLEAR GENERATING STATION
PALOMA GIN PROPERTIES LLC
PALOMA READY MIX & MATERIALS LLC
PAN GLO SERVICES LLC
PAN JIT
PARADISE MEMORIAL CREMATORY
PARAGON-AGGREGATE PRODUCTS CORP
PARAMOUNT PETROLEUM CORP OF AZ INC
PEPSICO
PET & ANIMAL LOVERS SERVICE (PALS)
PHOENIX HEAT TREATING INC
PHOENIX PAVER MANUFACTURING LLC
PHOENIX-MESA GATEWAY AIRPORT AUTHORITY
PING INC
PIONEER LANDSCAPING MATERIALS INC
PREFERRED PACKAGING & CONTAINER
PRISMA GRAPHIC CORPORATION
PRO PETROLEUM PHOENIX TERMINAL
PURCELLS WESTERN STATES TIRE
QUALITY BLOCK INC
QUIKTRIP DISTRIBUTION - PHOENIX
RED MOUNTAIN MINING INC
REDBURN TIRE CO
REGENCY MORTUARY SERVICES INC
RITCHIE BROS AUCTIONEERS (AMERICA) INC
RIVER RANCH PLANT #40
ROBERTSON FUEL SYSTEMS LLC

2014 Periodic Emission Inventory for PM10

Street address and city
834 E HAMMOND LN, PHOENIX
13400 E SHEA BLVD, SCOTTSDALE
2343 W MEDTRONIC WAY, TEMPE
6625 E MAIN ST, MESA
52 N MACDONALD, MESA
7440 E TAHOE AVE, MESA
1111 S SIRRINE ST, MESA
230 N 48TH AVE, PHOENIX
131 S 57TH AVE, PHOENIX
2355 W CHANDLER BLVD, CHANDLER
1200 S 52ND ST, TEMPE
3601 E UNIVERSITY DR, PHOENIX
5860 S ASH AVE, TEMPE
13000 W GLENDALE AVE, GLENDALE
7900 E MAIN ST, MESA
23306 N 15TH AVE, PHOENIX
228 E ARIZONA EASTERN, BUCKEYE
816 N 19TH AVE, PHOENIX
1414 E HADLEY ST, PHOENIX
4310 S 80TH ST, MESA
1420 W 12TH PL, TEMPE
7110 W NORTHERN AVE, GLENDALE
PORTABLE #1, PHOENIX
960 N RIVERVIEW, MESA
514 E BUCHANAN ST, PHOENIX
1300 N ALMA SCHOOL, CHANDLER
7733 W OLIVE AVE, PEORIA
25500 W SOUTHERN AVE, BUCKEYE
411 E FRYE RD, CHANDLER
PORTABLE
1721 W ELLIOT RD, GILBERT
441 S 53RD AVE, PHOENIX
5801 S WINTERSBURG RD, TONOPAH
57525 S POTATOE RD, GILA BEND
PORTABLE #1,
2401 W SHERMAN ST, PHOENIX
2502 W HUNTINGTON DR, TEMPE
9300 E SHEA BLVD # C, SCOTTSDALE
5420 W BETHANY HOME, GLENDALE
1935 W MCDOWELL RD, PHOENIX
409 S 104TH AVE, TOLLESON
3629 N 40TH AVE, PHOENIX
2405 W MOHAVE RD, PHOENIX
515 W ELWOOD ST, PHOENIX
5835 S SOSSAMAN RD, MESA
2201 W DESERT COVE AVE, PHOENIX
31906 W CAMELBACK RD, BUCKEYE
3330 W COCOPAH ST #1, PHOENIX
2937 E BROADWAY RD, PHOENIX
408 S 43RD AVE, PHOENIX
420 S 35TH AVE, PHOENIX
3035 S 35TH AVE, PHOENIX
8501 W LATHAM ST, TOLLESON
4520 N POWER RD, MESA
3801 W CLARENDON AVE, PHOENIX
9850 W THUNDERBIRD RD, SUN CITY
5410 W LOWER BUCKEYE, PHOENIX
5159 EL MIRAGE RD, LITCHFIELD PK
800 W CARVER RD #101, TEMPE
D–4

PM10 PM2.5
0.0
0.0
0.2
0.2
0.1
0.1
0.4
0.3
0.0
0.0
0.0
0.0
0.4
0.4
3.2
3.2
0.0
0.0
0.1
0.1
5.1
3.2
0.1
0.1
0.2
0.2
3.3
1.9
0.1
0.1
0.1
0.1
0.0
0.0
0.0
0.0
4.0
3.0
1.0
0.2
0.1
0.1
0.5
0.5
0.4
0.4
0.1
0.1
3.0
1.8
7.4
5.6
0.1
0.0
5.3
0.8
0.5
0.2
1.1
0.9
0.0
0.0
0.1
0.1
28.3 17.4
11.0
1.7
0.3
0.1
0.0
0.0
0.0
0.0
0.7
0.4
0.1
0.0
0.7
0.7
1.5
1.5
1.4
0.8
0.4
0.4
0.8
0.5
0.1
0.0
0.0
0.0
5.1
0.9
0.0
0.0
0.0
0.0
0.0
0.0
10.9 10.9
0.3
0.2
0.1
0.1
5.0
1.2
0.1
0.1
0.1
0.0
0.6
0.6
15.6
3.7
0.0
0.0

NOx
0.0
2.6
0.5
0.8
0.1
0.0

SOx
0.0
0.0
0.0
0.1
0.0
0.0

NHx

0.9
11.6

0.0
0.2

0.1
6.4

2.8
8.0
0.1

0.0
0.4
0.0

0.0
9.8
0.0
3.6
5.9
6.2
3.5

0.0
6.2
0.0
0.0
0.0
0.4
0.0

12.9
0.1
0.1
1.9
6.1
0.5
1.5
48.7
0.1
0.4
0.5
0.0
1.2

0.1
0.0
0.0
0.1
0.4
0.0
0.0
0.0
0.0
0.0
0.0
0.0
0.2

9.3
10.0
2.5
1.9

0.1
0.1
0.3
0.0

0.2
0.1

0.0
0.0

0.1
0.2
0.0
0.1
0.4
1.1
6.2

0.0
0.0
0.0
0.0
0.0
0.0
0.4

0.1
0.0
0.1
0.1

0.0
0.0
0.0
0.0

0.1

3.4

2.8

1.0

0.1

0.0

Maricopa County, AZ • September 2016

ID
133058
133589
759
4174
29474
132005
132784
403
132227
4072
266
246
1351
1169
4050
27933
39980
131682
4086
2108
131861
52776
46277
31643
2110
80437
582
388
131720
827
1214
4400
71801
31
134210
41431
37546
131453
249
133082
819
234
132907
63962
131506
187
344
1415
132528
130787
2
90
134056
131642
130002
113519
1149
131585
125450

Business Name
ROCK SOLID INC
ROCK SOLID INC
ROGERS CORP/ADVANCED CIRCUIT MATERIALS
ROGERS CORPORATION
SA RECYCLING LLC
SALT RIVER MATERIALS GROUP
SAM'S CLUB #6605
SAPA EXTRUSIONS NORTH AMERICA, LLC
SCHAUMAPLAST PRECISION FOAM MOLDING LP
SCHREIBER FOODS INC
SCHUFF STEEL CO
SCHULT HOMES
SERENITY MORTUARY SERV INC
SHAMROCK FOODS CO
SIGNATURE BREADS INC
SKUNK CREEK LANDFILL
S-L SNACKS AZ, LLC
SOLJET, LLC
SOUTH BAY CIRCUITS INC
SOUTHWEST AIRLINES CO
SOUTHWEST ARCHITECTURAL CASTINGS
SOUTHWEST BAKING COMPANY
SOUTHWEST FOREST PRODUCTS INC
SOUTHWEST REGIONAL LANDFILL
SPECIAL DEVICES INC
SR 85 LANDFILL
STONE CREEK INC
STOROPACK INC
STP PERFORMANCE COATING LLC
STP PERFORMANCE COATING, LLC
SULZER EMS INC
SUMCO SOUTHWEST CORPORATION
SUMIKA ELECTRONIC MATERIALS INC
SUNLAND MEMORIAL PARK/MORT/CREM CTR
SUNSHINE CONCRETE & MATERIALS, INC
SUPER RADIATOR COILS LTD
SUPERLITE BLOCK
SYSCO ARIZONA INC
THE BOEING COMPANY
TRANSWESTERN PIPELINE COMPANY, LLC
TRW VEHICLE SAFETY SYSTEMS INC
UNITED DAIRYMEN OF ARIZONA
UNITED METAL PRODUCTS, INC
UPPER CRUST BAKERY
USAA (UNITED SERVICES AUTOMOBILE ASSOC)
VERCO DECKING INC
VULCAN MATERIALS CO
VULCAN MATERIALS CO
VULCAN MATERIALS COMPANY
VULCAN MATERIALS COMPANY AVONDALE PLANT
VULCAN MATERIALS CO-WESTERN DIVISION
VULCAN MATERIALS CO-WESTERN DIVISION
VULTURE PEAK GOLD INC
W L GORE ASSOCIATES, INC
WASTE MGMT 7TH AVE TRANSFER & LANDFILL
WASTE MGMT PHX HAUL CONTAINER SHOP
WEAVER QUALITY SHUTTERS INC
WEST COAST SAND AND GRAVEL
WESTERN AGGREGATES PLANT #41

2014 Periodic Emission Inventory for PM10

Street address and city
11500 W BEARDSLEY RD, SUN CITY
6204 W SOUTHERN AVE, PHOENIX
100 S ROOSEVELT AVE, CHANDLER
2225 W CHANDLER BLVD, CHANDLER
3640 S 35TH AVE, PHOENIX
6204 W SOUTHERN AVE, LAVEEN
1225 N GILBERT RD, GILBERT
249 S 51ST AVE, PHOENIX
21 N 39TH AVE, PHOENIX
2122 S HARDY DR, TEMPE
420 S 19TH AVE, PHOENIX
231 N APACHE RD, BUCKEYE
2514 S 6TH AVE, PHOENIX
2228 N BLACK CANYON, PHOENIX
1120 W FAIRMONT DR STE, TEMPE
3165 W HAPPY VALLEY RD, PHOENIX
1200 N BULLARD AVE, GOODYEAR
5601 W VAN BUREN ST, PHOENIX
6409 COMMONWEALTH, CHANDLER
4153 E SKY HARBOR BLVD, PHOENIX
5343 W MOHAVE ST, PHOENIX
9604 W BUCKEYE RD, TOLLESON
2828 S 35TH AVE #1, PHOENIX
24427 S HWY 85, BUCKEYE
3431 N RESEDA CIR, MESA
28633 W PATTERSON RD, BUCKEYE
4221 E RAYMOND ST #102, PHOENIX
77 N 45TH AVE #2, PHOENIX
406 E PIONEER ST, PHOENIX
1131 W WATKINS ST, PHOENIX
2412 W DURANGO ST, PHOENIX
19801 N TATUM BLVD, PHOENIX
3832 E WATKINS ST, PHOENIX
15826 N DEL WEBB BLVD, SUN CITY
6033 S SOSSAMAN RD, MESA
2610 S 21ST ST, PHOENIX
4626 N 42ND AVE, PHOENIX
611 S 80TH AVE, TOLLESON
5000 E MCDOWELL RD, MESA
W TABLE MESA RD, NEW RIVER
11202 E GERMANN RD, MESA
2008 S HARDY DR, TEMPE
1920 E ENCANTO DR, TEMPE
3655 W WASHINGTON ST, PHOENIX
1 N NORTERRA DR, PHOENIX
4340 N 42ND AVE, PHOENIX
11923 W INDIAN SCHOOL, AVONDALE
7845 W BROADWAY RD, PHOENIX
3410 E VIRGINIA ST, MESA
5301 S DYSART RD, AVONDALE
14521 N 115TH AVE, EL MIRAGE
4830 S 43RD AVE, PHOENIX
36610 N 355TH AVE, WICKENBURG
32340 N NORTH VALLEY, PHOENIX
3000 S 7TH AVE, PHOENIX
2441 S 40TH ST, PHOENIX
218 S 15TH ST, PHOENIX
13333 W SOUTHERN AVE, AVONDALE
31805 W SOUTHERN AVE, BUCKEYE
D–5

PM10 PM2.5
0.9
0.4
0.5
0.2
0.3
0.3
0.0
0.0
3.7
0.8
2.4
0.4
0.0
0.0
2.2
2.0
0.0
0.0
1.2
1.2
1.8
1.3
0.5
0.4
0.7
0.4
0.8
0.8
0.1
0.1
30.1 29.3
0.5
0.5
0.0
0.0

NOx
0.0
0.0
6.5
0.3

SOx
0.0
0.0
0.0
0.0

0.1
10.9
0.5
4.2
9.3

0.0
0.6
0.0
0.2
0.6

1.3
10.8
0.3
3.6
6.3
0.1

0.2
0.1
0.0
2.6
0.0
0.0

0.0
0.0
0.0
0.4
25.5
0.0
48.5
0.0
0.0
0.0
0.0
0.0
1.4
0.0
0.0
2.9
0.0
2.2
0.0
2.2
0.1
3.6
26.4
1.1
0.1
0.0
0.0
2.4
19.7
5.0
0.9
2.9
11.9
2.7
0.0
2.1
0.2
0.0
2.3
5.7

0.3

0.0

0.0

0.0

8.2

0.6

4.0

3.3

0.1
0.1
0.5
0.0
13.9
0.3
0.0

0.0
0.0
0.0
0.0
0.0
0.0
0.0

0.3
1.1
1.0
2.1
1.7
0.3
27.0
0.6
1.7
1.4
0.1

0.0
0.0
0.7
0.0
0.0
0.0
0.3
0.0
0.0
0.1
0.0

12.2
3.0

12.6
4.1

3.0
4.6

0.4
0.1

0.8
3.9

0.0
0.3

10.5

0.7

0.0
0.0
0.0
0.3
25.5
0.0
46.8
0.0
0.0
0.0
0.0
0.0
1.4
0.0
0.0
2.0
0.0
1.4
0.0
1.0
0.1
1.7
9.9
1.1
0.1
0.0
0.0
0.4
4.0
0.8
0.2
0.6
1.9
0.5
0.0
2.1
0.2
0.0
1.0
3.9

NHx

0.2

0.0
0.0

Maricopa County, AZ • September 2016

ID
1240
1339
820
398
121588
128707
1382

Business Name
WESTERN MILLWORK INC
WESTERN REFINING TERMINALS, LLC
WESTSIDE CREMATORY
WICKENBURG FACILITY
WICKENBURG FUNERAL HOMES INC
WOOD UNLIMITED INC (AIR)
WOODCASE FINE CABINETRY INC

2014 Periodic Emission Inventory for PM10

Street address and city
2525 W CORONADO RD, PHOENIX
3050 S 19TH AVE, PHOENIX
11211 W MICHIGAN, YOUNGTOWN
44605 GRAND AVE, WICKENBURG
187 N ADAMS ST, WICKENBURG
9801 N LITCHFIELD RD, EL MIRAGE
3255 W OSBORN RD, PHOENIX

D–6

PM10 PM2.5
0.0
0.0
0.1
0.1
0.2
0.1
0.6
0.2
0.0
0.0
0.6
0.5
0.3
0.2

NOx

SOx

1.2
0.4

0.0
0.1

0.1
9.1

0.0
0.2

NHx

Maricopa County, AZ • September 2016

Appendix E. 2014 PM10 Periodic Emissions Inventory Affidavit of Publication
Return to Table of Appendices

RESPONSIVENESS SUMMARY
2014 PM10 PERIODIC EMISSIONS INVENTORY
The 2014 PM10 Periodic Emissions Inventory was made available for public review on December 7, 2016.
No requests for a public hearing or comments were received during the public comment period.