2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS For the Maricopa County, Arizona, 2008 & 2015 Eight-Hour Ozone Nonattainment Areas 3800 N Central Ave Ste 1400 Phoenix, AZ 85012 p. 602-506-6010 f. 602-506-6179 November 2019 Maricopa.gov/AQ Table of Contents I. List of Figures........................................................................................................ ii II. List of Tables ......................................................................................................... ii III. List of Appendices ................................................................................................ iv IV. Introduction ............................................................................................................ 1 V. VI. 1.1 Overview 1.2 Comparison between PEIs 1.3 Temporal scope 1.4 Geographic scope 1.5 Overview of local demographic and land use data 1.6 Emissions overview by source category 1.7 Summary of all source categories 1.8 Agencies responsible for the emissions inventory Point Sources ........................................................................................................ 12 2.1 Introduction and scope 2.2 Identifying point sources 2.3 Procedures for estimating emissions from point sources 2.4 Detailed overview of point source emissions 2.5 Emission reduction credits (ERCs) 2.6 Quality assurance/quality control procedures 2.7 Summary of all point source emissions 2.8 References Nonpoint Sources ................................................................................................ 20 3.1 Introduction and scope 3.2 Emission Calculation Methodology 3.3 Emission Allocation Methodology 3.4 Quality assurance/quality control procedures 3.5 Summary of all area source emissions 3.6 References VII. Nonroad Mobile Sources..................................................................................... 42 4.1 Introduction 4.2 Emission calculation methodology 4.3 Emission allocation methodology 4.4 Quality assurance procedures 4.5 Summary of nonroad mobile source emissions 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 i 4.6 References VIII. Onroad Mobile Sources ....................................................................................... 52 IX. 5.1 Introduction 5.2 Onroad mobile source emissions 5.3 Quality assurance process 5.4 Summary of all onroad mobile source emissions 5.5 References Biogenic Sources ................................................................................................. 65 6.1 Introduction 6.2 Modeling domain 6.3 Input data 6.4 Emission estimation 6.5 Summary of all biogenic source emissions 6.6 References List of Figures Figure 1.2–1. Figure 1.2–2. Figure 1.4–1. Figure 2.6–1. Figure 6.2–1. Figure 6.3–1. Figure 6.3.-2 Figure 6.3–3. Figure 6.4–1. Chart of VOC emissions (tons/year) within Maricopa County by source category in 2011, 2014, and 2017. ...................................................................................................................................... 2 Chart of NOx emissions (tons/year) within Maricopa County by source category in 2011, 2014, and 2017. ...................................................................................................................................... 3 Map of Maricopa County and the 2008 and 2015 8-hour ozone NAAs..................................... 4 Data flow for annual point source emissions inventory reporting. ............................................. 17 The WRF 4-km × 4-km grid (white), MEGAN 4-km × 4-km grid (yellow), the 8-hour ozone NAA for the 2008 standard (blue), the 8-hour ozone NAA for the 2015 standard (blue plus green), and Maricopa County (grid cells within the brown boundary). ...................................... 66 WRF modeled daily average and daily maximum values of temperature at 2 meters above surface, soil temperature, PAR, air pressure, wind speed at 10 meters above the ground, water vapor mixing ratio at 2 meters above the ground, soil moisture, and 24-hour accumulated precipitation. ................................................................................................................. 68 Locations of NWS and AZMET meteorological stations. ........................................................... 69 Paired hourly modeled and observed data in 2017 from NWS and AZMET stations for temperature at 2 meters above the surface, water vapor mixing ratio at 2 meters above the ground, wind speed at 10 meters above the ground, and surface solar radiation. .................... 70 Daily biogenic emissions in 2017, and annual mean diurnal cycles of VOC, NOx, and CO emissions for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards. .............................................................................................................................................. 72 List of Tables Table 1.5–1. Table 1.5–2. Table 1.6–1. Table 1.6–2. Demographic profile of Maricopa County, the 2008, and 2015 ozone NAA. ............................ 5 Land use categories used to apportion emissions. ........................................................................... 5 Annual and season-day emissions from point sources in Maricopa County and the 2008 and 2015 8-hour ozone NAAs (including emission reduction credits (ERCs)).................................. 6 Annual and season-day emissions from nonpoint sources in Maricopa County. ....................... 7 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 ii Table 1.6–3. Table 1.6–4. Table 1.6–5. Table 1.6–6. Annual and season-day emissions from nonpoint sources in the 2008 8-hour ozone NAA.... 7 Annual and season-day emissions from nonpoint sources in the 2015 8-hour ozone NAA.... 7 Annual and season-day emissions from nonroad mobile sources in Maricopa County. ........... 8 Annual and season-day emissions from nonroad mobile sources in the 2008 8-hour ozone NAA. ....................................................................................................................................................... 8 Table 1.6–7. Annual and season-day emissions from nonroad mobile sources in the 2015 8-hour ozone NAA. ....................................................................................................................................................... 9 Table 1.6–8. Annual and season-day emissions from onroad mobile sources in Maricopa County, and the 2008 and 2015 8-hour ozone NAAs. ................................................................................................. 9 Table 1.6–9. Annual and season-day emissions from biogenic sources in Maricopa County, 2008 and 2015 ozone NAAs......................................................................................................................................... 10 Table 1.7–1. Annual and season-day emissions from all sources in Maricopa County (including emission reduction credits). ................................................................................................................................ 10 Table 1.7–2. Annual and season-day emissions from all sources in the 2008 8-hour ozone NAA (including emission reduction credits). ............................................................................................................... 10 Table 1.7–3. Annual and season-day emissions from all sources in the 2015 8-hour ozone NAA (including emission reduction credits). ............................................................................................................... 11 Table 1.8–1. Chapter authors and quality assurance/quality control (QA/QC) contacts. ............................. 11 Table 2.2–1. Name and location of all point sources in Maricopa County....................................................... 13 Table 2.4–1. Annual and season-day emissions from point sources, by facility............................................... 15 Table 2.5–1. Available ERCs as of December 31, 2018....................................................................................... 16 Table 2.5–2. Potential sources of emission reduction credits for VOC or NOx. ............................................ 16 Table 2.7–1. Annual and season-day point source emissions for Maricopa County, and 2008 and 2015 ozone NAAs (including all emission reduction credits). ............................................................... 18 Table 3.2–1. Calculation method for all nonpoint (area) sources....................................................................... 20 Table 3.2–2. Prescribed fires in Maricopa County during 2017.......................................................................... 24 Table 3.2–3. Wildfire incidence, acreage burned, and material burned in 2017. .............................................. 25 Table 3.2–4. Maricopa County burn permit activity in 2017. .............................................................................. 26 Table 3.2–5. Emission and fuel loading factors for open burning. .................................................................... 26 Table 3.3–1. Calculation and allocation method for all nonpoint sources. ....................................................... 27 Table 3.5–1. Annual and season-day emissions from all nonpoint sources in Maricopa County. ................ 31 Table 3.5–2. Annual and season-day emissions from all area sources in the 2008 8-hour ozone NAA. ..... 34 Table 3.5–3. Annual and season-day emissions from all area sources in the 2015 8-hour ozone NAA ...... 37 Table 4.2–1. Calculation method for all nonroad mobile sources...................................................................... 43 Table 4.2.3–1. Annual airport operations (by aircraft category) and related data sources. ................................ 46 Table 4.2.3–2. Aircraft type activity distribution at Chandler Municipal airport................................................. 47 Table 4.3–1. Calculation and allocation method for nonroad mobile sources. ................................................ 48 Table 4.5–1. Annual and ozone season-day emissions from nonroad mobile sources in Maricopa County. ................................................................................................................................................................ 49 Table 4.5–2. Annual and ozone season-day emissions from nonroad mobile sources in the 2008 8-hour ozone NAA. ......................................................................................................................................... 50 Table 4.5–3. Annual and ozone season-day emissions from nonroad mobile sources in the 2015 8-hour ozone NAA. ......................................................................................................................................... 50 Table 5.2–1. Annual and season-day onroad mobile source emissions in Maricopa County, by road and vehicle type. .......................................................................................................................................... 56 Table 5.2–2. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2008 standard, by road and source type. ................................................................................... 57 Table 5.2–3. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2015 standard, by road and source type. ................................................................................... 59 Table 5.4–1. Annual and ozone season-day onroad mobile source emissions in Maricopa County, by road type......................................................................................................................................................... 61 Table 5.4–2. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2008 standard, by road type. ....................................................................................................... 61 Table 5.4–3. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2015 standard, by road type. ....................................................................................................... 61 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 iii Table 5.4–4. Table 5.4–5. Table 5.4–6. Table 5.4–7. Table 6.2–1. Table 6.4–1. Table 6.4–2. Table 6.5–1. Annual and ozone season-day onroad mobile source emissions in Maricopa County, by source type. ........................................................................................................................................... 62 Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2008 standard, by source type. .................................................................................................... 62 Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2015 standard, by source type. .................................................................................................... 63 Annual and ozone season-day emissions from all onroad mobile sources in Maricopa County, the 8-hour ozone NAA for the 2008 standard, and the 8-hour ozone NAA for the 2015 standard. ...................................................................................................................................... 63 The 4-km gridded modeling domain in the LCC coordinate system. ......................................... 66 Average daily biogenic emissions (lbs/day) by month in 2017 for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards. ................................................................ 71 Monthly biogenic emissions (tons/month) in 2017 for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards. ............................................................................. 73 Annual and season-day biogenic emissions in 2017 for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards. ............................................................................. 73 List of Appendices Appendix A Appendix B Appendix C Appendix D Appendix E Appendix F Instructions for Reporting 2017 Annual Air Pollution Emissions............................................ A-1 Rule Effectiveness (RE) Studies B.1 Introduction ................................................................................................................................ B-1 B.2 Calculating Rule Effectiveness Rates for Title V and Non-Title V Facilities ................... B-2 B.3 References.................................................................................................................................... B-3 MOVES2014b Local Input Data and RunSpecs MOVES2014b RunSpec Summary (Maricopa County, November 2018) .............................. C-2 MOVES2014b RunSpec (Maricopa County, November 2018)................................................. C-4 MOVES2014b Local Input Data (Maricopa County, November 2018) .................................. C-7 Emissions from Facilities treated as Area Sources in the 2017 Periodic Emissions Inventory ........................................................................................................................ D-1 Responsiveness Summary ............................................................................................................... E-1 Ozone Season-Day ........................................................................................................................... F-1 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 iv Introduction 1.1 Overview This 2017 periodic emissions inventory (PEI) for ozone precursors has been 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 emissions 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 nonattainment for the 2008 and the 2015 8-hour ozone standard. This inventory includes emission estimates for three ozone precursors: volatile organic compounds (VOCs), carbon monoxide (CO) and nitrogen oxides (NOx). VOC is defined by Maricopa County’s Rule 100 as “any organic compound that participates in atmospheric photochemical reactions, except the non-precursor organic compounds”. 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 Comparison between PEIs This section provides an analysis between PEI years to show changes in emissions and explain differences. It is important to note that methodologies to calculate emissions and emissions models can change substantially over time. There will always be slight variations in emissions that are due to the changes in assumptions and estimation methodology. Emission estimation methodologies will continue to improve over time as we obtain more accurate local information and emissions models are refined. • VOC o o o • NOx o o o PEI from 2011 to 2014 showed a 63% increase in VOC emissions (97,787 tons), and 6% decrease in VOC emissions (15,950 tons) from the 2014 to 2017 PEI. VOC point source emissions from 2014 to 2017 increased by 29%. VOC area source emissions from 2014 to 2017 decreased by 1%. Decrease in NOx emissions from both 2011 to 2014 (31% or 28,242 ton reduction) and 2014 to 2017 (13% or 8,106 ton reduction). 63% increase in NOx emissions from the point source category from 2014 to 2017 – but this represents a relatively small portion of the overall NOx inventory at 5% of the total 2017 NOx emissions. Area source emissions from 2014 to 2017 from NOx decreased by 8%. The large increase in total VOC emission levels between 2011 and 2014 are due to a 135% increase in biogenic VOC (BVOC) emission sources. In an effort to improve BVOC emission estimates, the methodology used to calculate these emissions was updated from the methodology used in the 2011 PEI to a new methodology for 2014 and 2017. The BVOC methodology used in the 2011 PEI limited realistic representation of the natural meteorology variability, and thereby reduced the overall biogenic emission magnitudes relative to the improved BVOC meteorology methodology used in 2014 and 2017. In 2017 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 1 BVOC comprised 73% of the total VOC emissions. More information on the calculation methodology used to determine biogenic emissions can be found in Chapter 5 of this report. In the 2017 PEI, the VOC emissions from nonroad mobile sources decreased by 1%, and onroad mobile sources decreased by 8%, as compared to 2014. Similarly, from 2014 to 2017, NOx nonroad mobile source emissions decreased by 9%, and onroad mobile source emissions decreased by 20%. Figures 1.2-1 and 1.2-2 present the VOC and NOx emissions for all emission sources in Maricopa County from the 2011, 2014, and 2017 PEIs. The 2017 onroad mobile sources and nonroad mobile sources emissions were calculated using Motor Vehicle Emissions Simulator (MOVES2014b), which is the latest model developed by the U.S. Environmental Protection Agency (EPA) for estimating onroad and nonroad motor vehicle emissions. The MOVES2014b model improves nonroad engine population growth rates, nonroad Tier 4 engine emission rates, and sulfur levels of nonroad diesel fuels. More information on the calculation methodology for nonroad and onroad emissions can be found in Chapter 4 and 5, respectively. Figure 1.2–1. Chart of VOC emissions (tons/year) within Maricopa County by source category in 2011, 2014, and 2017. 200,000 180,000 160,000 140,000 120,000 100,000 2011 80,000 2014 60,000 2017 40,000 20,000 0 2011 2014 2017 Point 769 1,042 1,345 Area 36,655 36,838 36,548 Nonroad Mobile 13,060 8,288 8,215 Onroad Mobile 24,557 19,309 17,753 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Biogenic 79,715 187,066 172,732 2 Figure 1.2–2. Chart of NOx emissions (tons/year) within Maricopa County by source category in 2011, 2014, and 2017. 70,000 60,000 50,000 40,000 2011 30,000 2014 20,000 2017 10,000 0 2011 2014 2017 1.3 Point 1,754 1,648 2,683 Area 5,162 5,633 5,173 Nonroad Mobile 21,907 19,143 17,432 Onroad Mobile 60,270 34,219 27,415 Biogenic 780 988 822 Temporal scope Both annual and ozone season-day emissions were estimated for the year 2017 for both Maricopa County and the 2008 and 2015 ozone nonattainment areas (NAA). The 3-month peak ozone season for the Maricopa County NAA has been defined as the June–August timeframe, which encompasses the period during which the region experiences the highest monitored ozone concentrations, the highest average Air Quality Index (AQI) values, and the most frequent exceedances of the 2008 and 2015 8-hour ozone NAAQS. 1.4 Geographic scope This inventory includes emission estimates for Maricopa County and for the Maricopa County 2008 and 2015 8-hour ozone NAAs. Maricopa County encompasses approximately 9,223 square miles of land area, while the 2008 ozone NAA is approximately 5,018 square miles or about 54 percent of the Maricopa County land area, and the 2015 ozone NAA is about 5,288 square miles or about 57 percent of Maricopa County land area. A portion of the southeastern boundary of the 2008 ozone NAA includes areas of Pinal County totaling 48 square miles or 0.96% of the 2008 NAA, while the Pinal County portion of the southeastern boundary of the 2015 ozone NAA includes 296 square miles or 5.6% of the 2015 NAA. A map of Maricopa County and the 2008 and 2015 8-hour ozone NAAs is provided in Figure 1.4–1. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 3 Figure 1.4–1. 1.5 Map of Maricopa County and the 2008 and 2015 8-hour ozone NAAs. 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 NAAs and vice versa. (For example, county-level emissions from residential natural gas usage in Maricopa County were apportioned to the NAAs 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/multifamily splits for calendar year 2017 for both Maricopa County and the 8-hour ozone NAAs. Table 1.5–1 provides an overview of the key 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 2008 and 2015 8-hour ozone NAAs from county-level calculations. It is important to note, however, that the 2008 8-hour ozone NAA includes a portion of Pinal County, AZ and the 2015 8-hour ozone NAA also contains a portion of Gila County, AZ as shown in Figure 1.4–1. For example, the population of NAAs that extend beyond the boundaries of Maricopa County may contain more people than the county itself, therefore the percentage multiplier to derive the per person pollution level would be greater than 100% from the county to the NAA. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 4 This is because Maricopa County is the reference at 100% and the NAA population can exceed that Maricopa County based reference level. Table 1.5–1. Demographic profile of Maricopa County, the 2008, and 2015 ozone NAA. Demographic variable 1. Population: Resident population Non-resident population Total population: 2. Employment: –Retail employment * –Office employment * –Public employment * –Other employment * Total commercial/institutional employment: Industrial employment Construction Work at home Non site-based Total, all employment: 3. Household split: Single-family Multi-family Total households: * These four categories comprise the “commercial/institutional” employment sector. 1.5.2 Maricopa County 2008 ozone NAA 2015 ozone NAA 4,307,033 375,210 4,682,243 4,334,143 380,372 4,714,515 4,440,154 387,947 4,828,101 493,145 625,002 128,630 231,722 1,478,499 274,824 21,250 125,288 125,989 2,025,850 491,022 624,184 130,028 229,604 1,474,838 274,415 21,033 125,530 125,859 2,021,675 493,682 624,361 131,725 230,171 1,479,939 274,706 21,045 126,604 126,513 2,028,807 80% 20% 100% 80% 20% 100% 80% 20% 100% Land use data MAG provided 2017 land use data which are developed from using satellite and Geographic Information System (GIS) techniques. Table 1.5–2 presents a listing of the land use categories used, the acreages of each land use type within Maricopa County, and the 2008 and 2015 8-hour ozone NAAs. Table 1.5–2. Land use categories used to apportion emissions. Land use category General/active open space/golf course (e.g., parks) Passive/restricted open space, washes Lakes Agriculture Vacant (e.g., developable land) Acreage within Maricopa County 223,776 3,471,524 12,286 262,814 1,163,556 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Acreage within 2008 ozone NAA 223,256 1,309064 12,286 153,955 765,851 Acreage within 2015 ozone NAA 226,189 1,361,388 12,468 165,088 852,121 5 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, petroleum product storage and transfer facilities, and large industrial facilities. The Maricopa County Air Quality Department (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 season-day emissions from point sources (including emission reduction credits) in Maricopa County and the 2008 and 2015 8-hour ozone NAAs. Since all facilities identified as point sources are located within the 2008 and 2015 8-hour ozone NAAs, the emission values for the three areas are equal. A detailed breakdown of emissions calculations for all point sources is contained in Chapter 2. Table 1.6–1. Annual and season-day emissions from point sources in Maricopa County and the 2008 and 2015 8-hour ozone NAAs (including emission reduction credits (ERCs)). Annual emissions (tons/yr) Season-day emissions (lbs/day) Source category VOC NOx CO VOC NOx CO Facility totals 978.6 2,622.5 1,515.4 6,617 23,947 12,818 Emission reduction credits 272.6 14.1 14.3 1,494 77 78 Potential ERCs (pERCs) 93.9 46.0 515 252 Total point sources: 1,345.1 2,682.6 1,529.7 8,626 24,276 12,896 1.6.2 Nonpoint (area) sources Nonpoint sources are facilities or activities whose individual emissions do not qualify them as point sources. Nonpoint 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 nonpoint source inventory. Examples of nonpoint source categories include residential wood burning, commercial cooking, and wildfires. Tables 1.6–2, 1.6–3, and 1.6–4 summarize annual and season-day emissions of the chief nonpoint source categories for Maricopa County and the 2008 and 2015 8-hour ozone NAAs, respectively. A detailed breakdown of emissions calculations for each nonpoint source category is contained in Chapter 3. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 6 Table 1.6–2. Annual and season-day emissions from nonpoint sources in Maricopa County. Source category Fuel combustion Industrial processes Solvent use Storage/transport Waste treatmt/disposal Misc. area sources Total nonpoint sources: Annual emissions (tons/yr) VOC NOx CO 1,614.8 4,885.0 10,308.5 1,548.6 83.1 605.2 28,136.5 3,350.6 98.9 39.2 333.7 1,798.9 166.0 6,640.4 36,548.3 5,173.3 17,887.8 Season-day emissions (lbs/day) VOC NOx CO 1,780 29,175 14,287 10,837 514 3,317 160,290 18,750 746 246 2,454 15,307 2,742 119,473 207,708 32,677 139,531 Table 1.6–3. Annual and season-day emissions from nonpoint sources in the 2008 8hour ozone NAA. Source category Fuel combustion Industrial processes Solvent use Storage/transport Waste treatmt/disposal Misc. area sources Total nonpoint sources: Annual emissions (tons/yr) VOC NOx CO 1,623.0 4,883.7 10,357.3 1,547.6 83.0 607.6 28,061.4 3,341.9 98.4 37.7 237.4 1,491.2 165.9 6,572.7 36,163.5 5,170.3 17,775.0 Season-day emissions (lbs/day) VOC NOx CO 1,778 29,140 14,266 10,828 525 3,330 159,885 18,347 839 276 2,819 13,885 2,827 123,750 205,563 32,768 144,165 Table 1.6–4. Annual and season-day emissions from nonpoint sources in the 2015 8hour ozone NAA. Source category Fuel combustion Industrial processes Solvent use Storage/transport Waste treatmt/disposal Misc. area sources Total nonpoint sources: 1.6.3 Annual emissions (tons/yr) VOC NOx CO 1,657.3 4,915.2 10,567.8 1,552.8 83.1 617.9 28,675.6 3,883.4 101.6 38.4 252.9 1,542.0 166.7 6,611.2 37,412.7 5,203.4 18,049.8 Season-day emissions (lbs/day) VOC NOx CO 1,784 29,238 14,317 10,859 525 3,387 163,313 18,860 869 285 2,999 14,201 2,832 123,956 209,885 32,880 144,659 Nonroad mobile sources Nonroad mobile sources include off-highway vehicles and engines that move or are moved within a 12month period. Tables 1.6–5, 1.6–6 and 1.6–7 summarize annual and season-day emissions from nonroad mobile sources for Maricopa County and the 2008 and 2015 8-hour ozone NAAs, respectively. A detailed breakdown of emissions calculations for each source category is contained in Chapter 4. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 7 Table 1.6–5. Annual and season-day emissions from nonroad mobile sources in Maricopa County. Source category Agricultural equipment Airport GSE+APUs 1 Commercial equipment Construction & mining Industrial equipment Lawn & garden Pleasure craft Railway maintenance Recreational equipment Aircraft Locomotives Total nonroad sources: Annual emissions (tons/yr) VOC NOx CO 28.3 279.7 271.9 54.7 230.5 1,507.0 961.7 866.0 25,846.8 1,697.1 10,108.5 15,523.6 139.0 917.9 3,543.2 2,832.0 520.9 47,666.5 227.4 66.9 795.9 1.2 5.9 14.7 512.5 46.5 5,379.2 1,698.8 2,961.7 9,361.7 62.3 1,427.0 328.4 8,215.0 17,431.5 110,238.9 Season-day emissions (lbs/day) VOC NOx CO 244 2,404 2,389 283 1,215 7,778 6,499 5,312 172,752 11,815 69,850 110,325 878 5,516 22,925 26,757 4,570 489,078 4,361 1,676 20,620 9 41 105 6,203 530 69,785 8,643 16,575 48,164 342 7,819 1,799 66,034 115,508 945,720 Table 1.6–6. Annual and season-day emissions from nonroad mobile sources in the 2008 8-hour ozone NAA. Source category Agricultural equipment Airport GSE+APUs Commercial equipment Construction & mining Industrial equipment Lawn & garden Pleasure craft Railway maintenance Recreational equipment Aircraft Locomotives Total nonroad sources: Annual emissions (tons/yr) VOC NOx CO 16.6 163.8 159.3 53.8 228.1 1,480.3 960.2 864.7 25,808.3 1,679.7 10,005.3 15,365.1 138.8 916.5 3,537.9 2,848.4 524.0 47,943.2 227.4 66.9 795.9 0.9 4.4 11.0 269.5 33.2 4,317.5 1,673.5 2,952.0 9,228.7 47.9 1,088.4 249.4 7,916.7 16,847.3 108,896.6 Season-day emissions (lbs/day) VOC NOx CO 143 1,408 1,399 279 1,202 7,632 6,490 5,304 172,495 11,695 69,136 109,199 877 5,507 22,891 26,911 4,597 491,907 4,361 1,676 20,620 6 30 78 3,273 375 56,107 8,506 16,522 47,438 263 5,964 1,366 62,804 111,721 931,132 1 Airport Ground Support Equipment (GSE) + Auxiliary Power Units (APUs) 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 8 Table 1.6–7. Annual and season-day emissions from nonroad mobile sources in the 2015 8-hour ozone NAA. Source category Agricultural equipment Airport GSE+APUs Commercial equipment Construction & mining Industrial equipment Lawn & garden Pleasure craft Railway maintenance Recreational equipment Aircraft Locomotives Total nonroad sources: 1.6.4 Annual emissions (tons/yr) VOC NOx CO 17.8 175.7 170.8 53.8 228.1 1,480.3 961.2 865.6 25,835.7 1,680.7 10,011.0 15,373.8 138.9 917.5 3,541.6 2,902.7 530.7 48,784.6 230.8 67.9 807.7 0.9 4.5 11.2 286.2 35.0 4,540.3 1,673.5 2,952.0 9,228.7 48.8 1108.7 254.1 7,995.3 16,896.7 110,028.8 Season-day emissions (lbs/day) VOC NOx CO 153 1,510 1,501 279 1,202 7,632 6,497 5,310 172,678 11,701 69,176 109,261 878 5,513 22,915 27,473 4,665 501,847 4,425 1,701 20,927 7 31 80 3,475 395 59,001 8,506 16,522 47,438 267 6,075 1,392 63,661 112,100 944,672 Onroad mobile sources Emissions from onroad mobile sources were calculated for Maricopa County, and the 2008 and 2015 8-hour ozone NAAs. A detailed description of emissions calculations is contained in Chapter 5. Table 1.6–8 summarizes annual and season-day emissions from onroad mobile sources in Maricopa County and the 2008 and 2015 8-hour ozone NAAs. Table 1.6–8. Annual and season-day emissions from onroad mobile sources in Maricopa County, and the 2008 and 2015 8-hour ozone NAAs. Annual emissions (tons/yr) Season-day emissions (lbs/day) Geographic area VOC NOx CO VOC NOx CO Maricopa County 17,752.5 27,415.2 191,996.3 111,077 146,500 1,191,804 2008 ozone NAA 17,620.0 25,782.9 191,016.3 110,451 138,273 1,185,528 2015 ozone NAA 17,982.4 26,129.9 194,001.4 112,746 140,154 1,203,419 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 8-hour ozone NAAs. 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 2008 and 2015 ozone NAAs. Annual and season-day emissions from biogenic sources are shown in Table 1.6–9 for Maricopa County and the 2008 and 2015 ozone NAAs. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 9 Table 1.6–9. Annual and season-day emissions from biogenic sources in Maricopa County, 2008 and 2015 ozone NAAs. Annual emissions (tons/yr) Geographic area VOC NOx CO Maricopa County 172,731.8 822.4 20,710.2 2008 ozone NAA 89,471.7 459.7 11,262.9 2015 ozone NAA 95,311.6 484.4 11,916.8 1.7 Season-day emissions (lbs/day) VOC NOx CO 2,324,365 9,959 284,251 1,208,359 5,601 155,135 1,283,539 5,896 163,704 Summary of all source categories Tables 1.7–1, 1.7–2, and 1.7–3 provide summary totals of annual and season-day emissions from all emission sources in Maricopa County and the 2008 and 2015 ozone NAAs, respectively. Figures 1.7–1 through 1.7–4 show a breakdown of the 2017 VOC and NOx emissions in the 2008 and 2015 ozone NAAs. Table 1.7–1. Annual and season-day emissions from all sources in Maricopa County (including emission reduction credits). Annual emissions (tons/yr) Source category VOC NOx CO Point 1,345.1 2,682.6 1,529.7 Nonpoint (area) 36,548.3 5,173.3 17,887.8 Nonroad mobile 8,215.0 17,431.5 110,238.9 Onroad mobile 17,752.5 27,415.2 191,996.3 Biogenic 172,731.8 822.4 20,710.2 Total, all source categories: 236,592.7 53,525.0 342,362.9 Season-day emissions (lbs/day) VOC NOx CO 8,625 24,277 12,896 207,708 32,677 139,531 66,034 115,508 945,720 111,077 146,500 1,191,804 2,324,365 9,959 284,251 2,717,809 328,920 2,574,202 Table 1.7–2. Annual and season-day emissions from all sources in the 2008 8-hour ozone NAA (including emission reduction credits). Annual emissions (tons/yr) Source category VOC NOx CO Point 1,345.1 2,682.6 1,529.7 Nonpoint (area) 36,163.5 5,170.3 17,775.0 Nonroad mobile 7,916.7 16,847.3 108,896.6 Onroad mobile 17,620.0 25,782.9 191,016.3 Biogenic 89,471.7 459.7 11,262.9 Total, all source categories: 152,517.0 50,942.8 330,480.5 Season-day emissions (lbs/day) VOC NOx CO 8,625 24,277 12,896 205,563 32,768 144,165 62,804 111,721 931,132 110,451 138,273 1,185,528 1,208,359 5,601 155,135 1,595,802 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 312,640 2,428,857 10 Table 1.7–3. Annual and season-day emissions from all sources in the 2015 8-hour ozone NAA (including emission reduction credits). Annual emissions (tons/yr) Source category VOC NOx CO Point 1,345.1 2,682.6 1,529.7 Nonpoint (area) 37,412.7 5,203.4 18,049.8 Nonroad mobile 7,995.3 16,896.7 110,028.8 Onroad mobile 17,982.4 26,129.9 194,001.4 Biogenic 95,311.6 484.4 11,916.8 Total, all source categories: 160,047.1 51,397.0 335,526.5 1.8 Season-day emissions (lbs/day) VOC NOx CO 8,625 24,277 12,896 209,885 32,880 144,659 63,661 112,100 944,672 112,746 140,154 1,203,419 1,283,539 5,896 163,704 1,678,457 315,307 2,469,351 Agencies responsible for the emissions inventory MCAQD has primary responsibility for preparing and submitting the 2017 Periodic Emissions Inventory for Ozone Precursors for Maricopa County. Point, area, and some nonroad mobile source emission estimates were prepared by MCAQD. MAG prepared the emission estimates for onroad mobile, biogenic, and the majority of nonroad mobile sources. Table 1.8–1 lists those responsible for inventory preparation and quality assurance/quality control activities which are described in the respective chapters. Table 1.8–1. Chapter authors and quality assurance/quality control (QA/QC) contacts. Chapter Author(s) QA/QC contact person(s) 2. Point sources Hanna Valenzuela, MCAQD 602-506-6790 Eric Raisanen, and Joshua Uebelherr, MCAQD 602-506-6790 Matt Poppen, MAG 602-254-6300 3. Nonpoint Eric Raisanen, and Joshua Uebelherr, Hanna Valenzuela, MCAQD 602-506-6790 (area) sources MCAQD 602-506-6790 Matt Poppen, MAG 602-254-6300 4. Nonroad Taejoo Shin, MAG 602-254-6300 Matt Poppen, MAG 602-254-6300 mobile sources 5. Onroad Taejoo Shin, MAG 602-254-6300 Matt Poppen, MAG 602-254-6300 mobile sources 6. Biogenic Taejoo Shin, MAG 602-254-6300 Matt Poppen, MAG 602-254-6300 sources 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 11 Point Sources 2.1 Introduction and scope This inventory of ozone precursors (VOC, NOx, and CO) is one of two 2017 emissions inventory reports being prepared to meet US EPA reporting requirements. This inventory has been developed concurrently with a similar inventory for particulate matter less than 10 microns (PM10) and related pollutants (PM2.5, NOx, sulfur oxides (SOx), and ammonia (NH3) as part of Maricopa County's requirements under the respective State Implementation Plans (SIPs). In addition to preparing a PEI for the 8-hour ozone NAA as a commitment under the current 8-hour ozone SIP, the federal 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 2017. 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 ozone season-day emissions of VOC, NOx and CO 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 8hour ozone NAA. Note that the totals shown in tables may not equal the sum of individual values due to independent rounding. MCAQD identified point sources within the county through its electronic permit system database, Environmental Management System (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, North American Industry Classification System code (NAICS), business name, and physical address. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 12 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 355 336412 Honeywell International Inc 111 S 34th St Phoenix 3966 334413 Intel Corp-Ocotillo Campus 4500 S Dobson Rd Chandler 3300 92811 Luke AFB - 56th Fighter Wing 14002 W Marauder St 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 Note: All facilities listed above are also located within the 8-hour ozone NAA. 2.3 ZIP 85043 85322 85239 85212 85337 85301 85034 85248 85309 85322 85354 85043 85387 85017 85281 85322 85043 85296 85043 85303 85283 85007 Procedures for estimating emissions from point sources Annual and season-day 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 (synthetic minor facilities are those that voluntarily reduce emissions below the level which would classify them as Title V). All facilities are required to report detailed information on stacks, control devices, operating schedules, and process-level information concerning its 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 13 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. 2.3.1 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 processes that claimed emissions reductions through the use of a control device, rule effectiveness was quantified separately for Title V and non-Title V sources. Overall RE values of 94.29% (for Title V processes) and 91.37% (for non-Title V processes) were calculated and applied to 2017 process-level emissions information 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 season-day emissions from all 22 facilities that have been categorized as point sources (all of which are located within both 8-hour ozone NAAs). Sources for which rule effectiveness has been applied are noted. Emissions values of “0.0” and “0” for annual and season-day emissions denote quantities below the level of significance (0.05 tons/yr and 0.5 lbs/day, respectively). 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 14 Table 2.4–1. Annual and season-day emissions from point sources, by facility. Annual emissions Season-day (tons/yr) emissions (lbs/day) ID # Business name VOC NOx CO VOC NOx CO 3313 APS West Phoenix Power Plant * 20.2 857.7 95.9 156 6,832 756 43063 Arlington Valley LLC * 0.0 55.7 14.0 0 593 152 1218 Butterfield Station Facility * 109.9 18.1 21.1 604 113 119 127771 CMC Steel Fabricators Inc. * 27.9 48.0 570.4 155 452 5,467 44439 Gila River Power Station * 7.2 117.8 21.7 53 833 147 4173 Glendale Mun. Sanitary Landfill * 1.8 9.2 50.1 10 51 275 355 Honeywell International Inc 22.1 25.8 9.3 165 144 51 3966 Intel Corp-Ocotillo Campus 45.8 56.7 120.3 252 312 661 3300 Luke AFB - 56th Fighter Wing 7.0 6.7 3.5 47 36 15 44186 Mesquite Power Operations LLC 14.5 156.7 43.3 123 1,329 369 43530 New Harquahala Gen Co. 3.5 41.9 1.9 53 648 33 20706 New Wincup Holdings Inc. 120.5 4.6 0.1 993 26 0 1879 Northwest Regional Landfill * 124.8 20.1 114.7 794 110 630 1331 Oak Canyon Inc. 93.7 603 52382 Ocotillo Power Plant 7.8 226.1 47.3 282 2,194 462 42956 Redhawk Generating Facility 4.9 178.1 157.6 34 1,254 1,112 303 Rexam Beverage Can Co. * 145.4 4.8 4.0 877 25 21 3315 Santan Generating Station 4.8 274.2 114.8 45 2,493 1,082 4175 SFPP LP Phoenix Terminal * 145.7 5.6 19.8 793 42 114 3316 SRP Agua Fria Generating Stn. 7.2 472.5 100.6 89 6,139 1,320 3317 SRP Kyrene Generating Station 1.0 42.3 5.2 7 322 30 1210 Trendwood Inc. * 62.8 483 Totals: 978.6 2,622.5 1,515.4 6,617 23,947 12,818 * = Facility for which rule effectiveness has been applied to one or more reported processes. 2.5 Emission Reduction Credits A major source or major modification planned in a NAA 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 NAAQS 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. Table 2.5–1 provides a list of certified emission reduction credits that are available in the Arizona Voluntary Emissions Bank for VOC, NOx, and CO by ownership (the actual, certified emissions reductions may have been purchased from the source from which they were generated). 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 15 Table 2.5–1. Available certified ERCs in the Arizona Emissions Bank. Emission reduction credits (tons/yr) Facility name Reduction Date VOC NOx CO Freescale Semiconductor, Inc. 3/1/2004 9.1 6.8 14.3 Intel Corporation 3/4/2005 203.9 7.0 Madison 51, LLC (Thornwood) 10/8/2012 53.1 Penn Racquet Sports Inc. 3/6/2009 0.34 Marathon Equipment 08/01/2018 6.5 Totals: 272.6 14.14 14.3 A number of facilities have been identified as potential sources of ERCs for NOx or VOC, in addition to those listed in Table 2.5–1. The companies listed in Table 2.5–2 are 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 ERCs for VOC or NOx. Permit no. 100087 110178 20005 10233 150049 140050 10240 60033 990502 990152 20189 990525 110056 30055 990254 090003 010143 970349 990571 070022 990378 090298 Facility name Di-Matrix Precision Manufacturing Saint Gobain Solar Glass Facility Jabil All Pro Industrial Finishes Artisan Natural Stone Products LLP BBB Industries, LLC Wells Cargo Inc./Haulmark Industries Inc. Preferred Packaging & Container Bryant Industries Wickenburg Oil Company LLC American Case & Pedestal Mfg. Co. Heraeus Materials Technology North Ameri Redstone Industries, Inc. Biltmore Shutters Inc Benchmark Electronics Phoenix, Inc. Phoenix San-Man Inc. Gro-Well Brands Inc. Cemex – Central Ave. Plant Southwest Airlines Costco Opt Co Phoenix Brick Yard Totals: City, ZIP Phoenix, 85040 Goodyear, 85338 Tempe, 85281 Tempe, 85281 Phoenix, 85034 Phoenix, 85031 Phoenix, 85043 Phoenix, 85009 Phoenix, 85041 Wickenburg, 85390 Phoenix, 85009 Chandler, 85226 Surprise, 85379 Phoenix, 85007 Phoenix, 85023 Buckeye, 85326 Phoenix, 85009 Phoenix, 85041 Phoenix, 85034 Phoenix, 85017 Phoenix, 85120 Phoenix, 85007 2.6 Quality assurance/quality control procedures 2.6.1 Emission survey preparation and data collection Potential ERCs (tons/yr) VOC NOx 17.4 9.9 8.5 8.4 7.8 7.8 6.0 4.4 4.4 4.2 4.0 3.3 2.9 2.8 2.1 9.9 8.3 7.5 6.0 6.0 5.2 3.1 93.9 46.0 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 16 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. Figure 2.6–1. Data flow for annual point source emissions inventory reporting. EI Reporting Forms • • Hard Copy Forms/ Instructions Instruction on Web EI Reporting Forms Log In EI reports/ Issue Receipts Data Entry EMS 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 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 database. 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, 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 17 • 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 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. These data elements are flagged during data entry and are not transmitted to EPA. Pollutant emissions cannot be designated as CBI. To prepare the inventory for submittal to the 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, reasonableness, and assured that all point sources had been identified. Staff also assured 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. QA checks were conducted by reviewing all emissions reports submitted to MCAQD for the year 2017 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 2017 annual emissions report. 2.7 Summary of all point source emissions Table 2.7–1 below summarizes annual and season-day 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 Maricopa County and both of the 8-hour ozone NAAs. Table 2.7–1. Annual and season-day point source emissions for Maricopa County, and 2008 and 2015 ozone NAAs (including all emission reduction credits). Annual emissions (tons/yr) Season-day emissions (lbs/day) Source Category VOC NOx CO VOC NOx CO Facility totals 978.6 2,622.5 1,515.4 6,617 23,947 12,818 Emission reduction credits 272.6 14.1 14.3 1,494 77 78 Potential ERCs (pERCs) 93.9 46.0 515 252 Total: 1,345.1 2,682.7 1,529.7 8,625 24,277 12,896 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 18 2.8 References 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 19 Nonpoint Sources 3.1 Introduction and scope This chapter considers all stationary sources that 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 2017 NEI website (US EPA, 2018); documentation of the development of the previous NEI in 2014 (US EPA, 2016); and the document “Introduction to Area Source Inventory Development” (US EPA, 2001a). In addition, permit and emissions data in the MCAQD’s 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. Annual emissions for Maricopa County, as well as the 2008 and 2015 8-hour ozone NAAs are presented in Tables 3.5–1, 3.5–2, and 3.5-3. 3.2 Emission Calculation Methodology The specific emissions estimation methods that MCAQD used to estimate the annual and season-day nonpoint emission inventory for Maricopa County are summarized in Table 3.2-1. The methodologies associated with these calculation methods are described in the following sub-sections. Table 3.2–1. Calculation method for all nonpoint (area) sources. Source Fuel combustion: Industrial distillate oil: boilers Industrial distillate oil: engines Industrial natural gas Industrial LPG Comm./inst. distillate oil: boilers Comm./inst. distillate oil: engines Comm./inst. natural gas Residential distillate oil Residential LPG Residential natural gas Residential wood combustion Annual Method Season-Day Method 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2014 Emissions Extrapolation 2017 EPA NEMO 2017 EPA NEMO Operating Schedule Operating Schedule Operating Schedule Operating Schedule Operating Schedule Operating Schedule Operating Schedule Heating Degree Days Heating Degree Days Seasonal Factor Heating Degree Days 2017 EPA NEMO 2014 Emissions Extrapolation Annual Emission Reports Annual Emission Reports Scaling Up Scaling Up Scaling Up Scaling Up Uniform Usage 2014 Emissions Extrapolation Annual Emission Reports Annual Emission Reports Scaling Up Scaling Up Scaling Up Scaling Up 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 20 Industrial processes: Commercial cooking Electrical equipment manufacturing Industrial processes, NEC Secondary metal production Chemical manufacturing Bakeries Fabricated metal product manufacturing Rubber/plastic product manufacturing Table 3.2–1. Calculation method for all nonpoint (area) sources (continued). Source Misc. area sources: Backyard barbeques Aircraft engine testing Crematories, human Crematories, animal Structure fires Vehicle fires Prescribed fires Accidental releases Wildfires Composting Livestock Annual Method Season-Day Method 2017 EPA NEMO Annual Emission Reports Annual Emission Reports Annual Emission Reports Fire Database & Burn Permits Fire Database Prescribed Fires Self-Reported Wildfires 2017 EPA NEMO 2017 EPA NEMO Uniform Usage Annual Emission Reports Annual Emission Reports Annual Emission Reports Seasonal Factor Uniform Usage Prescribed Fires Self-Reported Wildfires Uniform Usage Uniform Usage Scaling Up 2017 EPA NEMO Scaling Up 2017 EPA NEMO 2017 EPA NEMO 2008 Asphalt Use Extrapolation 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO Scaling Up Scaling Up Scaling Up Scaling Up Scaling Up Uniform Usage Seasonal Factor Uniform Usage Operating Schedule Uniform Usage Uniform Usage Uniform Usage Seasonal Factor Uniform Usage Scaling Up Scaling Up Scaling Up Scaling Up Scaling Up 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO Annual Emission Reports Annual Emission Reports Annual Emission Reports Uniform Usage 2017 EPA NEMO 2017 EPA NEMO 2017 EPA NEMO Uniform Usage Uniform Usage 2017 EPA NEMO 2017 EPA NEMO Annual Emission Reports Annual Emission Reports Annual Emission Reports Solvent use: Auto refinishing Traffic markings Industrial surface coating Dry cleaning Consumer and commercial products Asphalt application Agricultural pesticides Architectural coatings Factory finished wood Aircraft surface coating Miscellaneous surface coating Degreasing Graphics arts Misc. industrial solvent use Storage and transport: Portable fuel containers Gas stations Stage I: Submerged fill Gas stations Stage I: Bal. submerged fill Underground tanks: Breathing/emptying Airports: aviation gasoline Stage I Airports: aviation gasoline Stage II Truck: gasoline (tank trucks in transit) Pipeline gasoline Bulk plants Bulk terminals Volatile organic liquids storage/transport 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 21 Table 3.2–1. Calculation method for all nonpoint (area) sources (continued). Source Waste Disposal: Publicly owned treatment works (POTW) Landfills Other waste Open burning Leaking underground storage tanks 3.2.1 Annual Method Season-Day Method Per-Capita Annual Emission Reports Annual Emission Reports Burn Permits LUST Remediation Seasonal Factor Annual Emission Reports Annual Emission Reports Burn Permits LUST Remediation 2017 EPA NEMO Annual emissions for these source categories were derived using county specific data with the 2017 EPA Nonpoint Emissions Methodologies and Operator Instructions (NEMO), which are the methodologies used by US EPA for the 2017 NEI. 3.2.2 Operating Schedule In order to calculate the season-day emissions, it is assumed the activity occurs a certain number of days a week and is relatively uniform throughout the year. Thus, the annual emissions were divided by the days per week it operated multiplied by 52 weeks per year. 3.2.3 Heating Degree Days Ozone season-day emissions would normally be calculated by dividing ozone season 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, 2018) indicated that there were no heating degree days reported during the 2017 ozone season (June–August). 3.2.4 Uniform Usage For certain categories usage is assumed to occur uniformly throughout the year. Therefore, average seasonday emissions were developed by dividing the annual emissions by 365 (i.e., ozone season-day emissions are the same as average season-day emissions). 3.2.5 2014 Emissions Extrapolation For electrical equipment manufacturing, the data from the 2014 ozone precursor periodic emissions inventory (MCAQD, 2016) were extrapolated to 2017 based on the ratio of industrial employment levels for those two years. Residential LPG fuel use was extrapolated from the 2014 ozone precursor periodic emissions inventory (MCAQD, 2016) to 2017 based on the ratio of Maricopa County population for those two years. 3.2.6 Annual Emission Reports Annual and season-day emissions from facilities were derived by using annual emissions reports from permitted sources. For these categories, it was assumed that there were no significant unpermitted sources within Maricopa County. When all facilities in a given source category are considered to only be located within the 2008 and 2015 ozone NAAs, total emission values for the county and the NAA are equal. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 22 3.2.7 Scaling Up Emissions were calculated by the “scaling up” method as described in EPA emissions 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 (2018) 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 2017 employment were used. Where employment estimates were provided as a range of values, the midpoint was used. Some facilities in this category have been categorized as point sources, and thus their emissions are accounted for in Chapter 2. To avoid doublecounting, reported total employment at individual point sources is subtracted from estimated County employment levels. Ozone season-day emissions were calculated in the same method as annual emissions, only using surveyed season-day emissions instead of annual totals. 3.2.8 Fire Database 2017 structure and vehicle fire data were from the Arizona Department of Forestry and Fire Management (ADFFM pers. commun.: B. Kimball, October 19, 2018). The ADFFM coordinates reporting to the National Fire Incident Reporting System (NFIRS) for Arizona fire departments. The NFIRS is a national reporting system used by fire departments to report fires and other incidents to which they respond and to maintain records of these incidents in a uniform manner. Twenty-one of forty fire departments in Maricopa County reported over 10,000 fires to NFIRS in 2017. This included 2,027 reported structure fires. Because the ADFFM data only included data reported by twenty-one out of forty fire departments in Maricopa County, the number of structure fires reported were scaled up to the entire inventory area based on population of the included and excluded fire department districts. The most recent estimates for Maricopa County city populations were used to scale up the number of structure and vehicle fires from the Arizona Office of Economic Opportunity (AOEO; 2018). Estimates of material burned in a structure fire were determined by multiplying the number of structure fires by a fuel loading factor of 1.15 tons of material per fire to yield tons of material burned per year, which factors in the estimated percentage of structural loss and content loss (US EPA, 2001). Annual emissions from vehicle fires were calculated by first multiplying the number of vehicle fires by a fuel loading factor of 0.25 tons per vehicle fire to estimate the annual amount of material burned in vehicle fires (US EPA, 2000). 3.4.9 Seasonal Factor Residential natural gas ozone season day was calculated by apportioning the total annual residential natural gas consumption by the percentage used in June, July and August of 12%, and then divided by the total number of days in those three months (92 days). Structure fires vary seasonally and may increase during cold weather. Because local season-specific data were not readily available, seasonal occurrences of residential and non-residential structure fires reported by the Federal Emergency Management Agency (FEMA) were used to derive a seasonal adjustment factor for the ozone season (US EPA, 2001). FEMA reported that 21.8% of residential structure fires and 25.2% of nonresidential structural fires occurred during July, August, and September 1994. Thus, an average occurrence of 23.5% [(21.8% + 25.2%) ÷ 2] was used as a seasonal adjustment factor to estimate ozone season-day emissions. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 23 Architectural coating ozone season-day emissions were developed using default assumptions from EIIP (US EPA, 1995a). The seasonal factor for ozone season architectural coating activity was assumed to be a 28% of annual activity. In addition, it was assumed that the activity may take place seven days a week during the ozone season. Thus, season-day emissions were calculated by multiplying annual emissions by the seasonal factor and then dividing the results by 92 days per season. Publicly owned treatment works (POTW) ozone season-day emissions were calculated by multiplying annual emissions by a 35% season adjustment factor and then dividing by 92 days per season (US EPA, 2001a). 3.2.10 Prescribed fires Emissions from prescribed fires were estimated using data obtained from ADEQ (2018), which reported that a total of two prescribed fires occurred in Maricopa County during 2017 (M. Pace, pers. commun., Oct. 16, 2018), both of which were within the 2008 and 2015 8-hour ozone NAAs. Because both 2017 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 3.2–2 shows the data provided by ADEQ, the amount of material burned for each fire, and whether the fire occurred within the NAAs and during the ozone season. Table 3.2–2. Prescribed fires in Maricopa County during 2017. Material Within 2008 Tons/ Acres burned & 2015 8-hr Date Burn ID acre burned (tons) NAA? 03/07/2017 PHD205P 5 50 250 Y 03/09/2017 TNF0301P 1 2 2 Y Total: 52 252 During ozone season? N N 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. Annual emissions from prescribed fires in Maricopa County were derived by multiplying material burned by the emission factor then dividing by 2,000 lbs/ton. The prescribed fire data provided by ADEQ indicated both of the reported prescribed fires were within the 2008 and 2015 8-hour ozone NAAs; thus, annual emissions for both areas are equal. Ozone season-day emissions were evaluated by determining the dates of the prescribed burns, none of which were within the ozone season in 2017. 3.2.11 Self-Reported 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 in 2014. 3.2.12 Wildfires Data on the incidence of wildfires in Maricopa County were obtained from the ADFFM (ADFFM, pers. commun.: B. Kimball, October 19, 2018) and data reported in the Geospatial Multi-Agency Coordination 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 24 Group (GeoMAC) GIS Wildland Fire Support database (USGS, 2018). The ADFFM provides for the prevention and suppression of wildfires on state trust land and private lands located outside of incorporated communities; the wildfire data provided by ADFFM includes wildfires reported by local fire departments. The ADFFM and GeoMAC datasets were crosschecked and there was no overlap in the fires contained in these two databases, which respectively reported 828 and seven fires, covering 1,110 and 7,358 acres for Maricopa County. 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 land use 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 NAAs. Table 3.2–3 shows the number of wildfires and acreage burned for Maricopa County and the 8-hour ozone NAA, as well as the estimated total material burned. Table 3.2–3. Wildfire incidence, acreage burned, and material burned in 2017. No. of Acreage Fuel loading Material burned Geographic area fires burned factor (tons/acre) (tons/yr) Maricopa County 835 8,468 4.5 38,107 2018 ozone NAA 799 8,372 4.5 37,674 2015 ozone NAA 805 8,373 4.5 37,678 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 WRAP 2002 Fire Emissions Inventory (WGA/WRAP, 2005). Typical daily emissions were estimated by multiplying the total material burned during the year by the emission factor. This result was divided by the number of separate days on which wildfire activity was reported for Maricopa County, the 2008 ozone NAA, and the 2015 ozone NAA – 283, 79, and 79 days respectively. 3.2.13 2008 Asphalt Use Extrapolation The Asphalt Institute no longer compiles asphalt usage data by state. Therefore, 2017 emissions from asphalt applications were calculated by extrapolating 2008 asphalt emissions to 2017 based on vehicle miles traveled (VMT). A VMT-based growth factor was used to grow 2008 cutback and emulsified asphalt emissions to 2017. This was done for each asphalt type by multiplying the 2008 statewide asphalt usage by the ratio of 2017 to 2008 annual state VMT. This state-level asphalt use was then apportioned to Maricopa County by multiplying the extrapolated 2017 asphalt usage by the ratio of Maricopa County to statewide annual VMT. The extrapolated quantity of asphalt use for each type was then multiplied by an emission factor to derive the annual VOC emissions in tons/year. 3.2.14 Per-Capita The change from the 2012 to 2017 US population proportion was used to extrapolate the 2012 POTW annual flow rate to 2017 values. Then the proportion of Maricopa County population to US population in 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 25 2017 was used to apportion the amount of POTW flow rate to Maricopa County. The flow rate was then used to calculate emissions based on an emissions factor. 3.2.15 Burn Permits 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 database was used to identify all burn permits issued in 2017. A total of 25 open burn permits were issued during the year. The quantity and reported activity for the open burn permits are shown in Table 3.2– 4. Table 3.2–4. Maricopa County burn permit activity in 2017. Permits Total reported Activity unit Permit subtype issued activity of measure Ditch bank & fence row 16 107,450 Linear feet Land clearance 1 90.9 Acres Air Curtain 1 79.96 Tons of Material Burned Tumbleweeds 1 0.1 Piles Firefighting instruction 6 65 Structures The above activity data (excluding firefighting instruction) were converted to tons material burned using fuel loading factors from AP-42, Table 2.5–5 (US EPA, 1992) and assumptions made based on previous Maricopa County emission inventories (MCAQD, 2008). The emission and loading factors used are shown in Table 3.2–5. Table 3.2–5. Emission and fuel loading factors for open burning. Emission factors (lbs/ton burned) Category Weeds, unspecified Russian Thistle (tumbleweeds) Orchard crops: Citrus VOC 9 1.5 9 NOx 4 4 4 CO 85 309 81 Fuel loading factor (tons/acre) 3.2 0.1 1.0 MCAQD’s records of citizen complaints received during 2017 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 34.11 to account for unpermitted outdoor burning. The reported dates of activity from all open burn permits issued were reviewed to estimate the total open burn activity occurring during the June–August ozone season. To estimate season-day emissions, it was assumed that activity in all categories listed above normally occurs, on average, five days per week. Thus, season-day emissions were calculated by dividing total ozone-season emissions by 65 (five days/week × 13 weeks/ozone season). 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 26 Annual and season-day emissions for the NAA were calculated by multiplying the percentage of vacant land use located in the 2008 and 2015 8-hour ozone NAAs by the Maricopa County emissions estimates. See Section 1.5.2 for a discussion of the land use data used. 3.2.16 Leaking underground storage tanks remediation Leaking underground storage tanks (LUST) are normally not considered a quantifiable source of air emissions until excavation and remediation efforts begin. The majority of air emissions from LUST site remediation occur during the initial site activity, which is typically removal of the tank. Emissions from soil occur as the tank is being removed and when soil is deposited on the ground before treatment and disposal occur (US EPA, 2001c). A default emission rate of 28 lbs/day per remediation event was used to estimate VOC emissions from LUST remediation (US EPA, 2001c). It was assumed that an initial site action (tank and soil removal) for an average LUST remediation lasts five days. Data for 2017 obtained from the ADEQ LUST section indicated that 62 LUST remediation projects opened in Maricopa County, and seven outside of Maricopa County but within both the 2008 and 2015 ozone NAAs (T. Yee, pers. commun., Sept. 7, 2018). The LUST closure dates were used to determine whether the emissions occurred within the ozone season or not. 3.3 Emission Allocation Methodology County-level annual emissions for each of the calculation methods are allocated for the 2008 and 2015 ozone NAAs using the methodology presented in this section. In instances where all of a given source category are considered to be located within the 2008 and 2015 ozone NAAs, total emission values for the county and the NAA are considered equal and are listed as “Assumed Same” in Table 3.3-1. Table 3.3–1. Calculation and allocation method for all nonpoint sources. Source Fuel combustion: Industrial distillate oil: boilers Industrial distillate oil: engines Industrial natural gas Industrial LPG Comm./inst. distillate oil: boilers Comm./inst. distillate oil: engines Comm./inst. natural gas Residential distillate oil Residential LPG Residential natural gas Residential wood combustion Allocation Method Employment Employment Employment Employment Employment Employment Employment Population Population Population Population Industrial processes: Commercial cooking Electrical equipment manufacturing Industrial processes, NEC 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Population Assumed Same Assumed Same 27 Secondary metal production Chemical manufacturing Bakeries Fabricated metal product manufacturing Rubber/plastic product manufacturing Assumed Same Employment Employment Employment Employment Table 3.3–1. Calculation and allocation method for all nonpoint sources (continued). Source Misc. area sources: Backyard barbeques Aircraft engine testing Crematories, human Crematories, animal Structure fires Vehicle fires Prescribed fires Accidental releases Wildfires Composting Livestock Allocation Method Assumed Same Population Population Location Data Facility Location Location Data Population Assumed Same Population Population Land Use Solvent use: Auto refinishing Traffic markings Industrial surface coating Dry cleaning Consumer and commercial products Asphalt application Agricultural pesticides Architectural coatings Factory finished wood Aircraft surface coating Miscellaneous surface coating Degreasing Graphics arts Misc. industrial solvent use Employment Employment Employment Population Population Assumed Same Land Use Population Employment Employment Employment Employment Employment Employment Storage and transport: Portable fuel containers Gas stations Stage I: Submerged fill Gas stations Stage I: Bal. submerged fill Underground tanks: Breathing/emptying 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Population Assumed Same Assumed Same Assumed Same 28 Airports: aviation gasoline Stage I Airports: aviation gasoline Stage II Truck: gasoline (tank trucks in transit) Pipeline gasoline Bulk plants Bulk terminals Volatile organic liquids storage/transport General Aviation Operations General Aviation Operations Assumed Same Assumed Same Assumed Same Assumed Same Location Data Table 3.3–1. Calculation and allocation method for all nonpoint sources (continued). Source Waste Disposal: Publicly owned treatment works (POTW) Landfills Other waste Open burning Leaking underground storage tanks 3.3.1 Allocation Method Population Location Data Assumed Same Land Use Assumed Same Employment Annual emissions for the 2008 and 2015 ozone NAAs were estimated by apportioning Maricopa County’s emissions to the NAAs, using the ratio of employment, based on the source category. See Section 1.5.1 of this report for a discussion of the employment data used. 3.3.2 Population Annual emissions for the 2008 and 2015 ozone NAAs were estimated by apportioning Maricopa County’s emissions to the NAAs, using the ratio of total resident population in the NAAs to that of Maricopa County. See Section 1.5.1 of this report for a discussion of the population data used. 3.3.3 Land use The annual emissions for the 2008 and 2015 ozone NAAs were calculated by multiplying county emission totals by the ratio of a specific land use acreage in the NAAs for the land use acreage in Maricopa County. See Section 1.5.2 for a discussion of the land use data used to allocate emissions to the 2008 and 2015 ozone NAAs. 3.3.4 General Aviation Operations For the category aviation gasoline Stage I and Stage II, the annual and season-day emissions for the 2008 and 2015 ozone NAA emissions were calculated by multiplying county totals by the percentage of general aviation operations that occurred within the NAAs in 2017 (98.0%). See Table 4.11–1 of this report for general aviation aircraft operational data used. 3.3.5 Location Data Geographic data on the location of each permitted source or incident were used to identify whether they were located inside or outside of the 2008 and 2015 ozone NAAs. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 29 3.4 QA/QC control procedures 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 NAAs. 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 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 refined 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 (e.g., emissions from industrial coal combustion, oil and natural 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) were used as these data best reflect activity in the county and the NAAs. When local data was not available, state data from state agencies (e.g., Arizona Department of Transportation [ADOT]) and regional bodies (such as the Western Regional Air Partnership, WRAP) were used. National-level data (such as those from the US Census Bureau) were 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, 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 two air quality planners for final review, with any identified errors corrected by the author of the section. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 30 The draft version of the area source chapter was sent to ADEQ, ADOT, and MAG for a quality assurance review. These agencies provided comments that 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. 3.5 Summary of all area source emissions Tables 3.5–1, 3.5–2, and 3.5–3 summarize the total annual and average season-day emissions from all area sources addressed in this chapter for Maricopa County as well as the 2008 and 2015 ozone NAA, respectively. Table 3.5–1. Annual and season-day emissions from all nonpoint sources in Maricopa County. Source Annual emissions (tons/yr) VOC NOx CO Industrial distillate oil: boilers Industrial distillate oil: engines Industrial natural gas Industrial LPG Comm./inst. distillate oil: boilers Comm./inst. distillate oil: engines Comm./inst. natural gas Residential distillate oil Residential natural gas Residential LPG Residential wood combustion 1.0 141.5 36.1 1.5 0.1 0.4 58.3 0.0 46.4 1.7 1,327.7 101.1 2,035.1 656.7 41.1 3.5 5.6 1,060.0 0.2 793.8 44.5 143.4 25.3 438.0 551.7 23.0 0.9 1.2 890.4 0.0 337.8 12.6 8,027.6 7 983 251 10 0 3 405 0 121 0 0 702 14,132 4,561 285 24 39 7,361 0 2,071 0 0 175 3,042 3,831 160 6 8 6,183 0 881 0 0 Total fuel combustion: 1,614.8 4,885.0 10,308.5 1,780 29,175 14,287 0 2,274 206 683 Fuel combustion: Season-day emissions (lbs/day) VOC NOx CO Industrial processes: Chemical manufacturing Commercial cooking Bakeries Secondary metal production Rubber/plastic product manufacturing Fabricated metal product manufacturing Electrical equipment manufacturing Industrial processes, NEC 37.4 152.7 130.0 44.1 841.1 100.2 Total industrial processes: 45 830 736 306 6,834 648 0.0 414.0 28.7 124.0 183.8 59.2 20.0 34.4 6.2 61.1 1,052 386 111 197 34 326 1,548.6 83.1 605.2 10,837 514 3,317 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 31 Table 3.5–1. Annual and season-day emissions from all nonpoint sources in Maricopa County (continued). Source Misc. area sources: Annual emissions (tons/yr) VOC NOx CO Season-day emissions (lbs/day) VOC NOx CO Backyard barbeques Structure fires Aircraft engine testing Vehicle fires Crematories, human Crematories, animal Prescribed fires Accidental releases Wildfires Composting Livestock 66.5 14.9 0.1 7.1 0.5 0.1 0.8 13.5 259.1 718.3 718.1 20.9 1.9 1.0 0.9 15.7 6.6 0.8 0.1 118.1 1,011.4 81.0 2.7 27.9 0.9 0.4 9.4 0.4 5,506.4 364 76 1 35 3 1 0 32 5,335 5,525 3,935 115 10 7 4 120 54 0 0 2,432 5,542 414 1 137 6 3 0 0 113,371 Total misc. area sources: 1,798.9 166.0 6,640.4 15,307 2,742 119,473 Solvent use: Architectural coatings Auto refinishing Traffic markings Factory finished wood Wood furniture Metal furniture: SIC 25 Paper: SIC 26 Metal cans: SIC 341 Machinery and equipment: SIC 35 Large appliances: SIC 363 Electronic/other elec.: SIC 36–363 Motor vehicles: SIC 371 Aircraft surface coating Marine: SIC 373 Railroad: SIC 374 Miscellaneous surface coating Industrial maintenance coatings Other special purpose coatings Degreasing Dry cleaning Graphics arts Misc. industrial solvent use Personal care products Household products 3,772.4 1,121.1 201.3 706.0 509.9 59.8 51.3 38.1 58.1 35.5 4.2 183.0 23.8 3.5 5.1 123.9 301.0 12.0 357.6 13.2 162.4 64.9 4,013.2 4,414.5 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 22,962 6,143 2,044 5,462 2,794 328 281 209 319 195 23 1,002 150 19 28 961 1,649 66 2,498 102 1,216 452 21,990 24,189 32 Table 3.5–1. Annual and season-day emissions from all nonpoint sources in Maricopa County (continued). Source Solvent use (continued): Coatings and related products Adhesives and sealants FIFRA-regulated products Miscellaneous products, NEC Cutback asphalt Emulsified asphalt Agricultural pesticides Total solvent use: Annual emissions (tons/yr) VOC NOx CO Season-day emissions (lbs/day) VOC NOx CO 1,906.3 1,143.8 3,571.7 140.5 1,029.9 848.8 530.7 28,136.5 10,445 6,267 19,571 770 5,643 4,651 2,908 160,290 631.7 535.2 103.1 43.2 96.0 259.2 3,461 2,932 629 235 609 1,643 877.1 4,765 659.9 1.6 57.4 69.2 10.8 3,616 9 364 379 75 3,350.6 18,750 Storage/transport: Residential portable gas cans Commercial portable gas cans Bulk terminals Bulk plants Gas stations Stage I: Submerged fill Gas stations Stage I: Bal. submerged fill Underground tanks: Breathing/emptying Airports: aviation gasoline Stage I Airports: aviation gasoline Stage II Truck: gasoline (tank trucks in transit) Pipeline gasoline Volatile organic liquids storage/transport Total storage/transport: Waste treatment/disposal: Open burning Landfills Publicly owned treatment works Leaking underground storage tanks Other waste 31.0 2.6 60.2 4.3 0.8 13.8 6.8 287.0 5.2 18.7 Total waste disposal: 98.9 36,548.3 Total, all nonpoint sources: 106 38 2,207 29 41.5 238 17 458 28 4 102 218 39.2 333.7 746 246 2,454 5,173.3 17,887.8 207,708 32,677 139,531 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 33 Table 3.5–2. Annual and season-day emissions from all area sources in the 2008 8-hour ozone NAA. Source Annual emission (tons/yr) VOC NOx CO Industrial distillate oil: boilers Industrial distillate oil: engines Industrial natural gas Industrial LPG Comm./inst. distillate oil: boilers Comm./inst. distillate oil: engines Comm./inst. natural gas Residential distillate oil Residential natural gas Residential LPG Residential wood combustion Total fuel combustion: 1.0 141.3 36.1 1.5 0.1 0.4 58.2 0.0 46.7 1.7 1,336.1 1,623.0 Fuel combustion: Industrial processes: Chemical manufacturing Commercial cooking Bakeries Secondary metal production Rubber/plastic product manufacturing Fabricated metal product manufacturing Electrical equipment manufacturing Industrial processes, NEC Total industrial processes: 37.4 153.7 129.8 44.1 100.9 2,032.0 655.8 41.0 3.5 5.6 1,057.3 0.2 798.8 44.3 144.4 4,883.7 25.2 437.4 550.8 23.0 0.9 1.2 888.1 0.0 339.9 12.6 8,078.2 10,357.3 0.0 416.6 28.7 123.8 839.8 100.0 183.6 59.2 1,547.6 Season-day emissions (lbs/day) VOC NOx CO 7 981 250 10 0 3 404 0 122 0 0 1,778 45 835 735 306 701 14,111 4,554 285 24 39 7,342 0 2,084 0 0 29,140 175 3,037 3,825 159 6 8 6,168 0 887 0 0 14,266 0 2,289 203 682 111 211 525 34 326 3,330 6,824 19.9 34.4 83.0 6.2 61.1 607.6 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 647 1,051 386 10,828 34 Table 3.5–2. Annual and season-day emissions from all area sources in the 2008 8-hour ozone NAA (continued). Source Annual emission (tons/yr) VOC NOx CO Backyard barbeques Structure fires Aircraft engine testing Vehicle fires Crematories, human Crematories, animal Accidental releases Wildfires Prescribed fires Composting Livestock Total misc. area sources: 66.1 15.0 0.1 7.2 0.5 0.1 1.4 256.2 0.8 723.3 420.7 1,491.2 Misc. area sources: 20.8 1.9 1.0 0.9 15.7 6.6 1.4 116.8 0.8 1,005.5 81.6 2.7 28.1 0.9 0.4 0.4 5,443.9 9.4 165.9 6,572.7 Season-day emissions (lbs/day) VOC NOx CO 362 76 1 35 3 1 0 5,538 0 5,564 2,305 13,885 114 10 7 4 114 54 0 2,525 0 5,509 417 1 138 6 3 0 117,676 0 2,827 123,750 Solvent use: Architectural coatings Auto refinishing Traffic markings Factory finished wood Wood furniture Metal furniture: SIC 25 Paper: SIC 26 Metal cans: SIC 341 Machinery and equipment: SIC 35 Large appliances: SIC 363 Electronic/other elec.: SIC 36–363 Motor vehicles: SIC 371 Aircraft surface coating Marine: SIC 373 Railroad: SIC 374 Miscellaneous surface coating Industrial maintenance coatings Other special purpose coatings Degreasing Dry cleaning Graphics arts Misc. industrial solvent use Personal care products Household products Automotive aftermarket products 3,796.1 1,119.5 201.0 704.9 509.1 59.7 51.2 38.1 58.1 35.5 4.2 182.7 23.8 3.5 5.1 123.7 302.9 12.1 357.0 13.2 162.2 64.8 4,038.4 4,442.3 2,746.1 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 23,107 6,134 2,041 5,454 2,790 327 280 209 318 194 23 1,001 150 19 28 959 1,660 66 2,494 102 1,214 451 22,128 24,341 15,047 35 Table 3.5–2. Annual and season-day emissions from all area sources in the 2008 8-hour ozone NAA (continued). Source Annual emission (tons/yr) VOC NOx CO Season-day emissions (lbs/day) VOC NOx CO 1,918.3 1,151.0 3,594.2 141.3 1,036.3 854.2 310.9 28,061.4 10,511 6,307 19,694 774 5,679 4,680 1,703 159,885 635.7 544.8 103.1 43.2 96.0 3,568 3,058 629 235 96 259.2 1,643 877.1 644.3 1.5 4,765 3,530.3 8.4 57.4 69.2 364 379 10.4 3,341.9 71 18,347 Solvent use (continued): Coatings and related products Adhesives and sealants FIFRA-regulated products Miscellaneous products, NEC Cutback asphalt Emulsified asphalt Agricultural pesticides Total solvent use: Storage/transport: Residential portable gas cans Commercial portable gas cans Bulk terminals Bulk plants Gas stations Stage I: Submerged fill Gas stations Stage I: Bal. submerged fill Underground tanks: Breathing/emptying Airports: aviation gasoline Stage I Airports: aviation gasoline Stage II Truck: gasoline (tank trucks in transit) Pipeline gasoline Volatile organic liquids storage/transport Total storage/transport: Waste treatment/disposal: Waste Disposal Landfills Publicly owned treatment works Leaking underground storage tanks Other waste Total waste treatment/disposal: Total, all nonpoint sources: 19.0 13.2 60.6 4.8 0.8 98.4 8.4 10.6 175.8 20.1 117 58 2,491 110 41.5 237.4 264 75 461 34 4 839 18.7 37.7 101 276 218 2,819 36,163.5 5,170.3 17,775.0 205,563 32,768 144,165 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 36 Table 3.5–3. Annual and season-day emissions from all area sources in the 2015 8-hour ozone NAA Source Fuel combustion: Industrial distillate oil: boilers Industrial distillate oil: engines Industrial natural gas Industrial LPG Comm./inst. distillate oil: boilers Comm./inst. distillate oil: engines Comm./inst. natural gas Residential distillate oil Residential natural gas Residential LPG Residential wood combustion Total fuel combustion: Industrial sources: Chemical manufacturing Commercial cooking Bakeries Secondary metal production Rubber/plastic product manufacturing Fabricated metal product manufacturing Electrical equipment manufacturing Industrial processes, NEC Total industrial processes: Misc. area sources: Backyard barbeques Structure fires Aircraft engine testing Vehicle fires Crematories, human Crematories, animal Accidental releases Wildfires Prescribed fires Composting Livestock Total misc. area sources: Annual emissions (tons/yr) VOC NOx CO Season-day emissions (lbs/day) VOC NOx CO 1.0 141.5 36.1 1.5 101.0 2,034.2 656.5 41.0 25.3 437.8 551.4 23.0 7 982 251 10 702 14,127 4,559 285 175 3,041 3,829 160 0.1 3.5 0.9 0 24 6 0.4 58.4 0.0 47.9 1.8 1,368.7 1,657.3 5.6 1,061.0 0.2 818.4 45.8 147.9 4,915.2 1.2 891.2 0.0 348.2 13.0 8,275.7 10,567.8 3 405 0 125 0 0 1,784 39 7,368 0 2,135 0 0 29,238 8 6,189 0 908 0 0 14,317 0 2,345 203 683 37.4 157.5 129.9 44.1 0.0 426.7 28.7 123.9 45 856 736 306 840.7 6,831 100.2 648 183.8 59.2 1,552.8 20.0 34.4 83.1 6.2 61.1 617.9 1,052 386 10,859 111 211 525 34 326 3,387 68.4 15.3 0.1 7.4 0.5 0.1 1.4 256.2 0.8 740.7 451.1 1,542.0 21.5 1.9 1.0 0.9 15.7 6.6 1.4 116.8 0.8 1,040.6 83.5 2.7 28.8 0.9 0.4 0.4 5,444.6 9.4 118 10 7 5 114 54 0 2,525 0 5,702 427 1 141 6 3 0 117,676 0 166.7 6,611.2 375 78 1 36 3 1 0 5,538 0 5,698 2,472 14,201 2,832 123,956 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 37 Table 3.5–3. Annual and season-day emissions from all area sources in the 2015 8-hour ozone NAA (continued). Annual emissions (tons/yr) Season-day emissions (lbs/day) Source VOC NOx CO VOC NOx CO Solvent use: Auto refinishing Traffic markings Factory finished wood Wood furniture Metal furniture: SIC 25 Paper: SIC 26 Metal cans: SIC 341 Machinery and equipment: SIC 35 Large appliances: SIC 363 Electronic/other elec.: SIC 36– 363 Motor vehicles: SIC 371 Aircraft surface coating Marine: SIC 373 Railroad: SIC 374 Miscellaneous surface coating Industrial maintenance coatings Other special purpose coatings Degreasing Dry cleaning Graphics arts Misc. industrial solvent use Personal care products Household products Automotive aftermarket products Coatings and related products Adhesives and sealants FIFRA-regulated products Miscellaneous products, NEC Cutback asphalt Emulsified asphalt Agricultural pesticides Total solvent use: 1,120.6 201.2 705.7 509.7 59.8 51.2 38.1 6,141 2,043 5,460 2,793 328 281 209 58.1 35.5 318 195 4.2 182.9 23.8 3.5 5.1 123.9 310.3 12.4 357.4 13.2 162.4 64.9 4,137.2 4,550.9 23 1,002 150 19 28 960 1,700 68 2,497 102 1,215 452 22,670 24,937 2,813.3 1,965.2 1,179.1 3,682.1 144.8 1,061.7 875.1 333.3 28,675.6 15,415 10,768 6,461 20,176 793 5,818 4,795 1,827 163,316 651.2 558.1 103.1 43.2 3,568 3,058 629 235 608.7 609 Storage/transport: Residential portable gas cans Commercial portable gas cans Bulk terminals Bulk plants Gas stations Stage I: Submerged fill 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 38 Table 3.5–3. Annual and season-day emissions from all area sources in the 2015 8-hour ozone NAA (continued). Source Category Storage/transport (continued): Gas stations Stage I: Bal. submerged fill Underground tanks: Breathing/emptying Airports: aviation gasoline Stage I Airports: aviation gasoline Stage II Truck: gasoline (tank trucks in transit) Pipeline gasoline Volatile organic liquids storage/transport Total storage/transport: Waste treatment/disposal: Open burning Landfills Publicly owned treatment works Leaking underground storage tanks Other waste Total waste disposal: Total, all nonpoint sources: 3.6 Annual emissions (tons/yr) VOC NOx CO Season-day emissions (lbs/day) VOC NOx CO 259.2 1,643 877.1 644.3 1.5 4,765 3,530 8 57.4 69.2 364 379 10.4 3,883.4 71 18,860 20.7 13.2 62.0 4.8 0.8 101.6 9.2 10.6 191.3 20.1 126 58 2,671 110 41.5 252.9 283 75 472 34 4 869 18.7 38.4 101 285 218 2,999 37,412.7 5,203.3 18,049.8 209,885 32,880 144,659 References ADA, 2013. Arizona Department of Agriculture, 1080 database. http://www.azda.gov/Search1080/Search.aspx ADOT, 2012. Arizona Department of Transportation, Motor Vehicle Division, County Distribution Summary Report and Adjusted County MVF Distribution Report, for Jan. through December 2011. GOEP, 2013.Governor's Office of Energy Policy, Arizona Energy Statistics, Heating and Cooling Degree Days. Internet address: http://www.azenergy.gov/doclib/Degreedays.pdf. MCAQD, 2016. 2013 Periodic Emissions Inventory for Ozone Precursors. Maricopa County Air Quality Department, Phoenix AZ, September 2016. AOEO, 2018. July 1, 2018 2017 State, County, Place Level Population Estimates, Arizona Office of Economic Opportunity (AOEO), September 20, 2018. Internet address: https://population.az.gov/sites/default/files/documents/files/pop-estimates2017-04pla.pdf 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 39 Pechan, 2012.Pechan Environmental Consulting.2008 Nonpoint Emission Estimates. Solvent Usage – Surface Coatings. Solvent Utilization Documentation. Internet address: http://cert.pechan.com/epa/npee2008/index.html Pechan, 2012a. Pechan Environmental Consulting. 2008 Nonpoint Emission Estimates. Internet address: http://cert.pechan.com/epa/npee2008/index.html#CommercialCooking Pechan, 2012b. 2008 Nonpoint Emission Estimates. Pechan Environmental Consulting. Gasoline Distribution: Stage I: Tank Trucks in Transit, Internet address: http://cert.pechan.com/epa/npee2008/index.html Pechan, 2012c. 2008 Nonpoint Emission Estimates. Pechan Environmental Consulting. Solvent Usage – Other. Solvent Utilization Documentation, Table 2. Internet address: http://cert.pechan.com/epa/npee2008/index.html US Census Bureau, 2018. 2017 County Business Patterns (NAICS and SIC). Internet address: https://factfinder.census.gov US EPA, 1992.Compilation of Air Pollution Emission Factors (AP-42). Volume I: Stationary Point and Area Sources. Fifth ed. Chapter 2: Solid Waste Disposal, 2.5 Open Burning, Table 2.5–5. US EPA, Office of Air Quality Planning and Standards, Research Triangle Park, NC. US EPA, 1995a.Architectural Surface Coating. Emissions Inventory Improvement Program (EIIP) Vol. III, Chap. 1. Nov. 1995. Prepared by Eastern Research Group, Inc. for the Area Source Committee, EIIP. Internet address: http://www.epa.gov/ttn/chief/eiip/techreport/ volume03/archsfc.pdf US EPA, 1995b.Compilation of Air Pollution Emission Factors (AP-42). Fifth Ed., Volume I, Chapter 5: Petroleum Industry, 5.2, Transportation and Marketing of Petroleum Liquids. Table 5.2-7. Jan. 1995. http://www.epa.gov/ttn/chief/ap42/ch05/final/c05s02.pdf US EPA, 1997.Traffic Markings. Emissions Inventory Improvement Program (EIIP) Vol. III, Chap. 14. May 1997. Prepared by Eastern Research Group, Inc. for the Area Source Committee, EIIP. Internet address: http://www.epa.gov/ttnchie1/eiip/techreport/volume03/ iii14.pdf US EPA, 1998.Compilation of Air Pollution Emission Factors (AP-42). Fifth Ed., Volume 1, Chapter 1: External Combustion Sources. Natural Gas Combustion. Internet address: http://www.epa.gov/ttn/chief/ap42/ch01/final/c01s04.pdf US EPA, 2000. Area Source Category Method Abstract: Vehicle Fires. Emission Inventory Improvement Program (EIIP), May 2000. Internet address: https://www.epa.gov/sites/production/files/201508/documents/vehclf13.pdf US EPA, 2001a.Introduction to Area Source Emission Inventory Development. Emission Inventory Improvement Program (EIIP) Vol. III, Chapter 1. Revised Final, January 2001.Prepared by Eastern Research 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 40 Group, Inc. for the Area Source Committee, EIIP. Internet address: http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii01_apr2001.pdf US EPA, 2001b.Gasoline Marketing (Stage I and Stage II). Emissions Inventory Improvement Program (EIIP) Vol. III, Chap 11. Revised Final, January 2001.Prepared by Eastern Research Group, Inc. for the Area Source Committee, EIIP. Internet address: http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii11_apr2001.pdf US EPA, 2001c.Leaking Underground Storage Tanks. Emission Inventory Improvement Program Vol. III, Area Source Method Abstract. May 2001. Internet address: http://www.epa.gov/ttn/chief/eiip/techreport/volume03/ust2_dec2000.pdf US EPA, 2001d.Structure Fires. Emission Inventory Improvement Program (EIIP) Vol. III, Chap. 18. Revised Final, Jan. 2001.Prepared by Eastern Research Group, Inc. for the Area Sources Committee, EIIP. Internet address: http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii18_apr2001.pdf US EPA, 2012a.WebFIRE. EPA’s online emissions factor repository, retrieval, and development tool. Internet address: http://www.epa.gov/ttn/chief/webfire/index.html US EPA, 2012b.Residential Wood Combustion (RWC) Estimation Tool. Internet address: ftp://ftp.epa.gov/EmisInventory/2011nei/doc/ US EPA, 2012c. 2011 National Emissions Inventory Information, Data and documentation. Internet address:ftp://ftp.epa.gov/EmisInventory/2011nei/doc/ US EPA, 2015. 2011 National Emissions Inventory, version 2: Technical Support Document. Office of Air Quality Planning and Standards, Research Triangle Park, NC. August 2015. Internet address: https://www.epa.gov/sites/production/files/2015-10/documents/ nei2011v2_tsd_14aug2015.pdf. USGS, 2018. United States Geological Survey, GeoMAC (Geospatial Multi-Agency Coordination) Wildland Fire Support database. Internet address: http://www.geomac.gov/ USFA, 2012. United States Fire Administration, National Fire Data Center, National Fire Incident Reporting System (NFIRS), Data Archives: 2011 Public Data Release CD, December 11, 2012. 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. Internet address: http://www.wrapair.org/forums/fejf/documents/ WRAP_2002_PhII_EI_Report_20050722.pdf. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 41 Nonroad Mobile Sources 4.1 Introduction Nonroad mobile sources are vehicles or equipment that move (or are moved) within the 12-month period and are not licensed or certified as highway vehicles. Nonroad vehicles and equipment fall into the following categories: • Agricultural equipment, such as tractors, combines and balers; • Airport GSE, such as baggage tugs and terminal tractors, and APUs; • Commercial equipment, such as generators and pumps; • Construction equipment, such as graders, back hoes and trenchers; • Industrial equipment, such as forklifts and sweepers; • Lawn and garden equipment, such as leaf blowers and lawn mowers; • Logging equipment (not present in Maricopa County); • Oil field 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 equipment (not present in Maricopa County); • Aircraft, such as jet- and piston-engine planes; and • Locomotives, such as switching and line-haul trains. For most nonroad mobile source categories (except aircraft, APUs, GSE, and locomotives), the EPA MOVES2014b model was used to produce emission estimates. EPA released MOVES2014b in August 2018. It updates the growth estimates for equipment populations, which results in changes to equipment population estimates for all years. It also updates emissions estimates for nonroad equipment meeting Tier 4 standards and corrects errors in characteristics of nonroad diesel fuel. For aircraft, APUs, and airport GSE categories, the Federal Aviation Administration (FAA) Aviation Environmental Design Tool (AEDT) Version 2d computed emissions related to aircraft operations at airports. As of May 2015, AEDT replaced the Emissions and Dispersion Modeling System (EDMS) as the required model for aviation sources. In addition, a local survey of the three railroad companies having operations within the county (Burlington Northern Santa Fe, Union Pacific and Amtrak) provided locomotive emissions estimates. This document reports annual and ozone season average daily nonroad mobile source emissions in 2017 for Maricopa County, the ozone NAA for the 2008 standard, and the expanded ozone NAA for the 2015 standard. The expanded area for the 2015 standard includes a small section of Gila County containing the Tonto National Monument monitor and an additional section of Pinal County containing the Queen Valley monitor and San Tan Valley. Spatial surrogates based on land use and demographics in each county allocate the annual and ozone season-day emissions to the NAAs. The sections below describe the different 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 42 approaches used to allocate emissions for the different equipment categories to Maricopa County and the two NAAs. 4.2 Emission calculation methodology Table 4.2-1 summarizes the specific emissions estimation methods used to generate the annual and ozone season-day nonroad mobile sources emission inventory. The following subsections describe the methodologies associated with these calculation methods. Table 4.2–1. Calculation method for all nonroad mobile sources. Category Agricultural Annual Method Season-Day Method MOVES2014b MOVES2014b Airport GSE+APUs AEDT 2d AEDT 2d Commercial MOVES2014b MOVES2014b Construction MOVES2014b MOVES2014b Industrial MOVES2014b MOVES2014b Lawn & garden MOVES2014b MOVES2014b Pleasure craft MOVES2014b MOVES2014b Railway maintenance MOVES2014b MOVES2014b Recreational MOVES2014b MOVES2014b Aircraft AEDT 2d AEDT 2d Locomotives Survey Data Survey Data 4.2.1 MOVES2014b The MOVES2014b model calculated emissions for nonroad sources in Maricopa County using local inputs as described below. The NOAA National Centers for Environmental Information (NCEI) Local Climatological Data website (NCEI, 2018) provided hourly profiles of monthly average temperature observations at Phoenix Sky Harbor Airport. The Arizona Department of Agriculture (AZDA) Weights & Measures Services Division provided fuel specifications for 2017, identical to the fuel data used in modeling onroad mobile source emissions. The Stage II vapor recovery program effectiveness for 2017 (50.0%) was used in place of the default model value. EPA recommends adjusting default model input files (such as equipment population and activity levels) where local data are available to replace the default values derived from national averages. A local survey performed by ENVIRON as part of an inventory developed to study the impact of visibility-impairing pollutants (ENVIRON et al., 2003) was used to replace the default population and activity levels for commercial lawn and garden equipment in Maricopa County. Survey results showed that for most categories of commercial lawn and garden equipment, populations in Maricopa County are significantly lower than EPA default values, while the average annual hours of operations for most equipment types are slightly higher than EPA’s values. Using this local data results in a considerable decrease in emissions from commercial lawn and garden equipment, compared with earlier results using EPA default inputs. Default equipment populations 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 43 for oil field equipment based on employment were set to zero, as there is no oil and gas production in Maricopa County (AZOGCC, 2018). The MOVES2014b nonroad model output consists of typical weekday and weekend emissions for each month of the year. The typical weekday emissions multiplied by the number of weekdays in each month added to the typical weekend emissions multiplied by the number of weekend days in the month represents the total emissions for the month. The sum of the monthly emissions over the year represents the total annual emissions. Ozone season-day emissions are a three-month average of the typical weekday, or typical weekend, emissions over the ozone season months (June-August). To be conservative, the typical day type with the highest emissions (weekday or weekend) represents ozone season-day emissions for each nonroad emissions category. For example, typical daily emissions from agricultural equipment are higher on weekdays than on weekends. As such, weekday emissions are representative of ozone season-day emissions for agricultural equipment. Other categories, such as recreational equipment, have higher emissions on weekends rather than weekdays. Spatial surrogates, based on land use and demographics, proportionally allocate the annual and ozone seasonday emissions computed for Maricopa County to the NAAs, as described in Section 4.3. 4.2.2 Airport ground support equipment The AEDT model produced emission estimates for GSE and APUs at airports. Section 4.2.3 below describes the modeling input data used. GSE and APU emissions for Luke Air Force Base (AFB) and aircraft emissions for Luke AFB are a single grouped emissions estimate. 4.2.3 Aircraft The AEDT model produced emission estimates for aircraft at 14 airports in Maricopa County. The AEDT model is a software system that models aircraft performance in space and time to estimate noise, fuel consumption, emissions, and air quality consequences. AEDT leverages GIS and relational database technology to support individual studies ranging in scope from a single flight at an airport to scenarios at the regional, national and global levels. AEDT is actively used by the U.S. government for regulatory studies, research, domestic aviation system planning, and aviation environmental policy analysis. The AEDT model calculates aircraft, GSE, and APU emissions of VOC, NOx, and CO using operational data for 2017 as discussed below. The model computes emissions individually for each combination of aircraft and engine type, and reports aggregated emissions for four main aircraft categories: • Air carriers (AC): Larger commercial aircraft with at least 60 seats or 18,000 pounds of 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 pounds of payload capacity; • General aviation (GA): Aircraft used on an unscheduled basis for recreational flying, personal transportation, and other activities, including business travel; and 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 44 • Military (ML): Aircraft used to support military operations. The AEDT model utilizes three main input databases to estimate annual or seasonal emission inventories at each airport: • Airport database: Relevant airport information, such as latitude, longitude, runway, taxi-in and taxiout time, country, and weather data; • Fleet database: Aircraft/engine models and flight tracking profiles for arrival, departure, and touchand-go (T&G) operations; and • Local activity database: Number of aircraft operations for landing/takeoffs (LTO), and fleet mix at each airport. Local aircraft activity data (number of LTO or T&G operations) is a critical input to the AEDT model. The FAA Operations Network (OPSNET) database (FAA, 2018a) provided daily activity data on 2017 aircraft operations for the eight larger commercial and general aviation airports in Maricopa County (Chandler Municipal, Falcon Field, Glendale Municipal, Phoenix Deer Valley, Phoenix Goodyear, Phoenix-Mesa Gateway, Phoenix Sky Harbor, and Scottsdale airports). Additionally, AirNav (airnav.com) provided operations data for the six small general aviation airports included in the inventory (Buckeye Municipal, Gila Bend Municipal, Pleasant Valley, Sky Ranch at Carefree, Stellar Airpark, and Wickenburg Municipal airports). Base personnel provided the number of F-16 and F-35 military aircraft based at Luke AFB in 2017. The FAA Traffic Flow Management System Counts (TFMSC) database provided aircraft fleet mix for 11 of the 14 commercial and general aviation airports (see Table 4.2.3-1), and the FAA 5010 Airport Master Records database provided verification of the AirNav operations data. To supplement the FAA data, MAG conducted a survey of the general aviation airports in the area to obtain the number of LTOs for 2017 (including any T&G operations) along with fleet mix where available. Table 4.2.3-1 summarizes the activity level for each aircraft category at each airport included in the inventory and indicates the data sources for activity and fleet mix. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 45 Table 4.2.3–1. Annual airport operations (by aircraft category) and related data sources. 2017 Operations Airport Name Buckeye Municipal FAA LID BXK Chandler Municipal Falcon Field Gila Bend Municipal CHD FFZ E63 Glendale Municipal Luke Air Force Base GEU LUF Phoenix Deer Valley DVT Phoenix Goodyear GYR Air Air General Fleet Mix Carrier Taxi Aviation Military Data Source2 (AC) (AT) (GA) (ML) County-wide 0 100 52,800 100 profile OPSNET TFMSC 17 3,215 190,644 348 OPSNET TFMSC 9 65,668 221,706 4,074 AirNav County-wide 0 540 35,700 50 profile OPSNET TFMSC 1 394 74,478 132 [Emissions for 2017 were estimated by scaling based on numbers of F-16 and F-35 fighter jets, see text for details] OPSNET, TFMSC 12 4,670 373,961* 134 Survey OPSNET, TFMSC 199 5,208 102,359* 3,397 Survey OPSNET TFMSC 11,503 38,202 233,248 7,503 OPSNET TFMSC 378,911 28,747 21,014 2,296 Survey Survey 0 0 20,000* 0 OPSNET TFMSC 10 14,990 152,492 639 Survey TFMSC 0 0 4,291 0 AirNav TFMSC 0 0 40,000 0 AirNav TFMSC 0 400 35,700 50 Operations Data Source1 AirNav Phoenix-Mesa Gateway IWA Phoenix Sky Harbor PHX Pleasant Valley P48 Scottsdale SDL Sky Ranch at Carefree 18AZ Stellar Airpark P19 Wickenburg Municipal E25 1. AirNav: online database of FAA Form 5010 information (http://airnav.com) OPSNET: Operational Network (FAA, 2018a) Survey: MAG Airport Survey (2017 operations and fleet mix, conducted via email and telephone, 2018) 2. TFMSC: Traffic Management System Counts (FAA, 2018b) County-wide profile: representative fleet mix derived from reported data for 11 airports in Maricopa County * The number of operations includes T and G operations reported by airport. Note that T&G operations for fixed wing aircraft consist of an approach, brief ground roll (landing), an immediate takeoff, and a climb-out—all of which occur without exiting the runway. Specifically, a T&G operation counts as two operations in FAA procedures, because both a landing and a takeoff occur. The following section describes the derivation of activity and emission estimates for general aviation activity at a representative airport: Chandler Municipal (CHD). The OPSNET database reported 190,644 general aviation operations at this airport in 2017, as listed in Table 4.2.3–1. The TFMSC database of general aviation activity and fleet mix at Chandler Municipal airport in 2017 comprised 97 different aircraft types, with a combined 2,133 operations. The smaller numbers reported in TFMSC are a representative sample of the total general aviation operations. The number of operations for each type in the sample divided by the combined number of operations in the sample gives a relative frequency distribution of aircraft types at this airport. This frequency distribution, multiplied by the total number of operations reported by OPSNET, provides the number of operations allocated to each aircraft type for input to the AEDT model. Table 4.2.3-2 demonstrates this calculation for the general aviation activity at Chandler Municipal Airport. When applied to each aircraft category at each airport, this procedure typically resulted in ten to 100 aircraft types representing 98.8 to 100% of all reported activity. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 46 1 1 1 1 1 1 1 2,133 Total Operations for AEDT* 16,450 13,496 13,228 11,888 10,010 9,652 8,222 6,256 6,078 5,630 5,452 5,362 5,094 4,558 4,022 3,754 3,486 3,038 2,860 2,502 2,234 2,146 … BT36 – Beech Bonanza A36TC/B36TC C177 - Cessna 177 Cardinal C25M - Cessna Citation M2 CL35 - Bombardier Challenger 300 LR25 - Bombardier Learjet 25 RV10 - Experimental RV6 - AIEP Air Beetle Total: Cumulative Frequency 8.626% 15.706% 22.644% 28.880% 34.130% 39.194% 43.507% 46.789% 49.977% 52.930% 55.790% 58.603% 61.275% 63.666% 65.776% 67.745% 69.573% 71.167% 72.668% 73.980% 75.152% 76.278% … … 91 92 93 94 95 96 97 Relative Frequency 8.626% 7.079% 6.939% 6.235% 5.251% 5.063% 4.313% 3.282% 3.188% 2.954% 2.860% 2.813% 2.672% 2.391% 2.110% 1.969% 1.828% 1.594% 1.500% 1.313% 1.172% 1.125% … Aircraft Type BE20 - Beech 200 Super King C172 - Cessna Skyhawk 172/Cutlass C25C - Cessna Citation CJ4 P46T - Piper Malibu Meridian AC90 - Gulfstream Commander C525 - Cessna CitationJet/CJ1 LJ45 - Bombardier Learjet 45 R22 - Robinson R-22 Mariner BE36 - Beech Bonanza 36 BE9L - Beech King Air 90 C182 - Cessna Skylane 182 C56X - Cessna Excel/XLS P28A - Piper Cherokee C560 - Cessna Citation V/Ultra/Encore BE58 - Beech 58 SR22 - Cirrus SR 22 M20T - Turbo Mooney M20K PC12 - Pilatus PC-12 C425 - Cessna 425 Corsair C421 - Cessna Golden Eagle 421 M20P - Mooney M-20C Ranger HDJT - HONDA HA-420 HondaJet TFMSC Reported Operations 184 151 148 133 112 108 92 70 68 63 61 60 57 51 45 42 39 34 32 28 25 24 … Rank 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 … Table 4.2.3–2. Aircraft type activity distribution at Chandler Municipal airport. 0.047% 0.047% 0.047% 0.047% 0.047% 0.047% 0.047% 99.719% 99.766% 99.812% 99.859% 99.906% 99.953% 100.000% 90 90 90 90 90 90 90 190,644 * Computations rounded to produce even multiples of LTO, with adjustments to account for accumulated rounding error added to the dominant aircraft type. There are three types of aircraft with emissions at Luke AFB: F-16 fighter jets, F-35 fighter jets and transient aircraft. There are also emissions from associated GSE. The ratio of 0.52 between the number of F-16s based at Luke AFB in 2017 and the number of F-16s based there in 2008 (Weston, 2010) provides an estimate of aircraft and associated GSE emissions. Emissions from F-35 aircraft and their associated GSE were scaled using a ratio of 0.42 between the number of F-35 aircraft based at Luke AFB in 2017 and the future total number 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 for 2017 are similar to those for 2008 based on discussions with Luke AFB personnel. 4.2.4 Locomotives There are three railway companies operating within the 2008 and 2015 8-hour ozone NAAs. Burlington Northern/Santa Fe Railway (BNSF), Union Pacific Railway (UP) and Amtrak each provided diesel fuel usage for the computation of annual emissions from locomotives. Railway operations from these companies fall into three categories: Class I haul lines, passenger trains, and yard/switching operations. Diesel fuel usage multiplied by emission factors published by ENVIRON and EPA (ENVIRON, 2007; US EPA, 1997, 2009) 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 47 produced the annual emission totals. Assuming that locomotive activity is uniform throughout the year, the annual totals divided by 365 days per year represent the ozone season-day emissions. 4.3 Emission allocation methodology Spatial surrogates allocated the county-level annual and ozone season-day emissions for each of the categories to the 8-hour ozone NAAs using the methodology presented in this section. Table 4.3-1 summarizes the specific allocation methods used. The following sub-sections describe the methodologies. Table 4.3–1. Calculation and allocation method for nonroad mobile sources. Category Allocation Agricultural Land Use (Agricultural) Airport GSE+APUs Location Data Commercial Employment (Industrial) Construction Employment (Construction) Industrial Employment (Industrial) Lawn & garden Employment (Landscaping) and Housing Pleasure craft Land Use (Lakes) Railway maintenance Railroad Track Miles Recreational Land Use (Passive Open + Vacant, Golf Courses) Aircraft Location Data Locomotives Railroad Track Miles 4.3.1 Land use The acreages of specific land use categories are the spatial surrogates for the allocation of emissions to the 2008 and 2015 8-hour ozone NAAs for the agriculture, pleasure craft, and recreational sectors. Maricopa County annual and ozone season-day emissions, multiplied by the ratio of the category acreage in the NAA to the category acreage in Maricopa County, represent the annual and ozone season-day emissions for the NAA. 4.3.2 Location data The geographic location of each source identifies whether it is located inside or outside of an 8-hour ozone NAA. Annual and ozone season-day emissions for each source located inside a NAA are included in NAA totals. 4.3.3 Employment The number of employees in specific employment sectors are spatial surrogates for the allocation of county emissions to the 2008 and 2015 8-hour ozone NAAs for the commercial, construction and industrial sectors, as well as the commercial portion of the lawn and garden sector. Maricopa County annual and ozone seasonday emissions, multiplied by the ratio of employees in the NAA to the number of employees in Maricopa County, represents the annual and ozone season-day emissions for the NAA. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 48 4.3.4 Housing The number of residential houses (single family and duplex) is the spatial surrogate for the allocation of county emissions to the 2008 and 2015 8-hour ozone NAAs for the residential portion of the lawn and garden sector. Maricopa County annual and ozone season-day emissions, multiplied by the ratio of the number of houses in the NAA to the number of houses in Maricopa County, represent the annual and ozone season-day emissions for the NAA 4.3.5 Railroad Track Miles The number of miles of active railroad track is the spatial surrogate for the allocation of Maricopa County emissions to the 2008 and 2015 8-hour ozone NAAs for the railway maintenance sector. ArcGIS computed the number of track miles in Maricopa County, Pinal County, Gila County, and the 2008 and 2015 NAAs. Maricopa County annual and ozone season-day emissions, multiplied by the number of track miles in the NAA to the number of track miles in Maricopa County, represents the annual and ozone season-day emissions for the NAA. 4.4 Quality assurance procedures A comparison of the 2017 nonroad mobile sources emission estimates to previous emissions inventories (2014 and 2011) provided a quality check of the results. Any unexpected changes (large increases or decreases in source emissions) triggered investigations to identify the reasons for the changes. Inspection of annual emissions totals computed individually for each source served as additional validation. Personnel who were not involved in the development of the results reviewed the input/output files and calculations for accuracy. In addition, external agency staff reviewed the emissions estimates. 4.5 Summary of nonroad mobile source emissions Table 4.5–1 summarizes annual and ozone season-day emissions of VOC, NOx, and CO from nonroad mobile sources in Maricopa County. Tables 4.5–2 and 4.5-3 show the annual and ozone season-day emissions for these pollutants for the 2008 and 2015 8-hour ozone NAAs. Table 4.5–1. Annual and ozone season-day emissions from nonroad mobile sources in Maricopa County. Category Agricultural Airport GSE+APUs Commercial Construction Industrial Lawn & garden Pleasure craft Railway maintenance Recreational Aircraft Locomotives Total: Annual emissions (tons/yr) VOC NOx CO 28.3 279.7 271.9 54.7 230.5 1,507.0 961.7 866.0 25,846.8 1,697.1 10,108.5 15,523.6 139.0 917.9 3,543.2 2,832.0 520.9 47,666.5 227.4 66.9 795.9 1.2 5.9 14.7 512.5 46.5 5,379.2 1,698.8 2,961.7 9,361.7 62.3 1,427.0 328.4 8,215.0 17,431.5 110,238.9 Season-day emissions (lbs/day) VOC NOx CO 244 2,404 2,389 283 1,215 7,778 6,499 5,312 172,752 11,815 69,850 110,325 878 5,516 22,925 26,757 4,570 489,078 4,361 1,676 20,620 9 41 105 6,203 530 69,785 8,643 16,575 48,164 342 7,819 1,799 66,034 115,508 945,720 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 49 Table 4.5–2. Annual and ozone season-day emissions from nonroad mobile sources in the 2008 8-hour ozone NAA. Category Agricultural Airport GSE+APUs Commercial Construction Industrial Lawn & garden Pleasure craft Railway maintenance Recreational Aircraft Locomotives Total: Annual emissions (tons/yr) VOC NOx CO 16.6 163.8 159.3 53.8 228.1 1,480.3 960.2 864.7 25,808.3 1,679.7 10,005.3 15,365.1 138.8 916.5 3,537.9 2,848.4 524.0 47,943.2 227.4 66.9 795.9 0.9 4.4 11.0 269.5 33.2 4,317.5 1,673.5 2,952.0 9,228.7 47.9 1,088.4 249.4 7,916.7 16,847.3 108,896.6 Season-day emissions (lbs/day) VOC NOx CO 143 1,408 1,399 279 1,202 7,632 6,490 5,304 172,495 11,695 69,136 109,199 877 5,507 22,891 26,911 4,597 491,907 4,361 1,676 20,620 6 30 78 3,273 375 56,107 8,506 16,522 47,438 263 5,964 1,366 62,804 111,721 931,132 Table 4.5–3. Annual and ozone season-day emissions from nonroad mobile sources in the 2015 8-hour ozone NAA. Category Agricultural Airport GSE+APUs Commercial Construction Industrial Lawn & garden Pleasure craft Railway maintenance Recreational Aircraft Locomotives Total: 4.6 Annual emissions (tons/yr) VOC NOx CO 17.8 175.7 170.8 53.8 228.1 1,480.3 961.2 865.6 25,835.7 1,680.7 10,011.0 15,373.8 138.9 917.5 3,541.6 2,902.7 530.7 48,784.6 230.8 67.9 807.7 0.9 4.5 11.2 286.2 35.0 4,540.3 1,673.5 2,952.0 9,228.7 48.8 1,108.7 254.1 7,995.3 16,896.7 110,028.8 Season-day emissions (lbs/day) VOC NOx CO 153 1,510 1,501 279 1,202 7,632 6,497 5,310 172,678 11,701 69,176 109,261 878 5,513 22,915 27,473 4,665 501,847 4,425 1,701 20,927 7 31 80 3,475 395 59,001 8,506 16,522 47,438 267 6,075 1,392 63,661 112,100 944,672 References AZOGCC, 2018. Production Reports. Arizona Oil and Gas Conservation Commission. http://www.azogcc.az.gov/production_reports 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 Department of Environmental Quality. ENVIRON, 2007. LADCO 2005 Locomotive Emissions. Draft Rep. Feb. 2007. Prepared for the Lake Michigan Air Directors Consortium. FAA, 2018a. Operational Network (OPSNET) database. Federal Aviation Administration. https://aspm.faa.gov/opsnet/sys/Airport.asp. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 50 FAA, 2018b. Traffic Flow Management System Counts (TFMSC) database. Federal Aviation Administration. https://aspm.faa.gov/tfms/sys/Airport.asp. FAA, 2018c. Terminal Area Forecast (TAF) database. Federal Aviation Administration. https://taf.faa.gov. NCEI, 2018. Local Climatological Data. NOAA National Centers for Environmental Information. https://www.ncdc.noaa.gov/IPS/lcd. USAF, 2012. Final F-35A Training Basing Environmental Impact Statement. http://www.dtic.mil/dtic/tr/fulltext/u2/a612501.pdf. US EPA, 1997. Emission Factors for Locomotives. Office of Mobile Sources. Rep. EPA-420-F09-025, December 1997. US EPA, 2009. Emission Factors for Locomotives. Office of Transportation and Air Quality. Rep. EPA420-F09-025, April 2009. Weston, 2010. 2008 Mobile Source Air Emissions Inventory for Luke Air Force Base. Weston Solutions, Inc. Prepared for Air Education and Training Command (AETC), US Air Force, Randolph AFB, TX. June 2010. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 51 Onroad Mobile Sources 5.1 Introduction The 2017 PEI calculates onroad mobile source emissions for ozone precursors, such as VOCs, NOx, and CO for Maricopa County and the 2008 and 2015 8-hour ozone NAAs. MOVES2014b is the latest model developed by the US EPA for the purpose of estimating onroad and offnetwork motor vehicle emission factors. MOVES2014b inputs were developed using local data from multiple sources such as ADOT, AZDA, MAG Transportation Divison, and NCEI. . The main references for preparing the onroad mobile source portion of the 2017 emissions inventory were: 5.2 • Policy Guidance on the Use of MOVES2014 for State Implementation Plan Development, Transportation Conformity, and Other Purposes (US EPA, 2014); • MOVES2014a User Guide (US EPA, 2015a); • MOVES2014a Software Design Reference Manual (US EPA, 2015b); • MOVES2014a User Interface Reference Manual (US EPA, 2016); • Emissions Inventory Guidance for Implementation of Ozone and Particulate Matter National Ambient Air Quality Standard (NAAQS) and Regional Haze Regulations (US EPA, 2017); • MOVES2014 User Interface Reference Manual Appendix: MOVES2014b (US EPA, 2018a); and • MOVES2014, MOVES2014a, and MOVES2014b Technical Guidance: Using MOVES to Prepare Emission Inventories for State Implementation Plans and Transportation Conformity (US EPA, 2018b). Onroad mobile source emissions Exhaust, evaporative, refueling, and extended idling emissions from onroad mobile sources were calculated using the EPA state-of-the-art emissions modeling tool, MOVES2014b. MOVES2014b is intended for official use to estimate national, state, and county level inventories of criteria air pollutants from highway vehicles. The user of MOVES2014b is allowed to specify vehicle types, time periods, geographical areas, pollutants, vehicle operating characteristics, and road types for a particular scenario to be modeled by creating a Run Specification (RunSpec). In order to calculate vehicle emissions for the calendar year 2017, MOVES2014b was executed using local input data for each geographical area (Maricopa County, the 8-hour ozone NAA for the 2008 standard, and the 8-hour ozone NAA for the 2015 standard). Each scenario was created using the county scale setting and the inventory calculation type. The specific MOVES2014b model RunSpec and RunSpec summaries are described in Appendix C. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 52 5.2.1 Local input data used with the MOVES2014b model MOVES2014b requires local data such as the presence of inspection and maintenance (I/M) programs, meteorological data, vehicle populations, source type age distribution, annual VMT, monthly/daily/hourly fractions, road type distribution, average speed distribution, ramp fraction, fuel data, and alternative vehicle and fuel technologies (AVFT). 5.2.1.1 Fuel data Regarding the fuel local input data, MOVES2014b provides three MOVES tables, which are [fuelsupply], [fuelformulation], and [fuelusagefraction]. The fuel data for each month were derived from the 2017 fuel inspection results in Maricopa County provided by AZDA. The fuel data for Maricopa County were also applied to the 8-hour ozone NAAs. The specific MOVES tables for fuel data are presented in Appendix C. 5.2.1.2 I/M programs MOVES2014b 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 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 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 Area A 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 specific MOVES table for I/M programs is presented in Appendix C. 5.2.1.3 Meteorological data MOVES2014b requires hourly temperature and relative humidity data by specific month of the year. Meteorological data for the Phoenix Sky Harbor International Airport in 2017 were obtained from the NCEI (https://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 8-hour ozone NAAs. The specific MOVES table [ZoneMonthHour] for meteorological data is presented in Appendix C. 5.2.1.4 Vehicle population In MOVES2014b, 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 and Pinal County was obtained from the July 2017 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 each county in 2017. For the 8-hour ozone NAAs, the vehicle population was estimated by merging the vehicle population in the NAA portion of each county. The population ratio of the NAA portion and county was applied to estimate the vehicle population in each NAA portion. The population ratios for 2017 were derived from the MAG socioeconomic data. The specific MOVES table [SourceTypeYear] for vehicle population is presented in Appendix C. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 53 5.2.1.5 Source type age distribution MOVES2014b 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 July 2017 vehicle registration data from ADOT. The same source/type/age distribution was applied for Maricopa County and the 8-hour ozone NAAs. The specific MOVES table [SourceTypeAgeDistribution] for source/type/age distribution is presented in Appendix C. 5.2.1.6 Annual VMT The 2017 annual VMTs were used to estimate onroad exhaust and evaporative emissions. The 2017 annual average daily VMTs for Maricopa County and the 8-hour ozone NAAs were derived from the 2017 traffic assignment data provided by the MAG Transportation Modeling Group. The annual average daily VMTs were multiplied by 365 days to obtain the annual VMTs. The specific MOVES table [HPMS 2vTypeYear] for annual VMT is presented in Appendix C. 5.2.1.7 Road type distribution MOVES2014b 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 2017 traffic assignment data and the MOVES default VMT fractions for the HPMS vehicle types. The road type distribution assigned to the HPMS vehicle class was applied to all MOVES source types in the class. The specific MOVES table [RoadTypeDistribution] for road type distribution is presented in Appendix C. 5.2.1.8 VMT fraction Since VMT varies by month, day of week, and hour, MOVES2014b 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. 5.2.1.9 Average speed distribution In MOVES2014b, vehicle power, speed, and acceleration have a significant effect on vehicle emissions for all pollutants. MOVES2014b 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 2017 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 8-hour ozone NAAs. The specific MOVES table [AvgSpeedDistribution] for the average speed distribution is presented in Appendix C. 5.2.1.10 Ramp fraction 2 Highway Performance Monitoring System 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 54 MOVES2014b requires the ramp fraction, which represents the percent of VHT on ramps, on both rural and urban restricted roads. The fraction of VHT on ramps was derived by dividing the total VHTs on ramps by the total VHTs for each restricted road type. Those VHTs were obtained from the 2017 traffic assignment. The specific MOVES table [RoadType] for ramp fractions is shown in Appendix C. 5.2.1.11 Alternative vehicle and fuel technologies (AVFT) strategy MOVES2014b 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, MOVES2014b 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. 5.2.1.12 Stage II refueling control programs To account for the impact of Stage II refueling control programs on refueling losses, MOVES2014b requires the control efficiency for the local area. The control efficiency of 50% for the refueling displacement vapor losses were provided by AZDA. The same program efficiency was applied to Maricopa County and the 8-hour ozone NAAs. The specific MOVES table [CountyYear] for Stage II refueling control programs is presented in Appendix C. 5.2.2 MOVES2014b outputs MOVES2014b was executed with the RunSpec files described in Appendix C to obtain exhaust and evaporative emissions for VOC, NOx, and CO. These values were obtained for the following categories: • 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 5.2.3 MOVES2014b emission estimates MOVES2014b was used to generate onroad emissions by source type, road type, weekday/weekend day, and month. By specifying the output time aggregate level as month, MOVES2014b produces monthly emissions including weekday and weekend emissions for a given month. The annual emissions were calculated by aggregating monthly onroad emissions derived by MOVES2014b. The ozone season-day emissions were calculated by dividing the three-month peak ozone season emissions from June through August by 92 days. Tables 5.2–1 through 5.2-3 show the calculated annual and ozone season-day VOC, NOx, and CO emissions by road and vehicle type in Maricopa County, the 8-hour ozone NAA for the 2008 standard, and the 8-hour ozone NAA for the 2015 standard, respectively. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 55 Table 5.2–1. Annual and season-day onroad mobile source emissions in Maricopa County, by road and vehicle type. Road type OffNetwork Rural Restricted Access Rural Unrestricted Access Source type 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 Combination long-haul truck 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 Combination long-haul truck 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 Combination long-haul truck Annual emissions (tons/yr) VOC NOx CO 401.7 3.4 102.6 8,452.6 3,529.0 35,987.6 2,892.1 1,695.3 14,856.0 736.8 465.8 4,487.5 0.0 0.1 1.6 0.1 0.0 16.3 2.8 1.1 138.3 0.3 0.1 11.5 83.7 80.4 2,414.7 1.2 1.6 19.9 12.2 4.3 264.8 1.0 0.0 58.6 308.9 1,815.0 837.2 3.1 3.0 44.2 25.6 99.5 1,166.5 15.0 67.3 532.9 3.7 17.6 128.5 0.5 11.3 2.2 0.4 8.9 9.3 2.5 28.6 11.6 0.4 8.8 2.0 9.8 85.1 102.1 0.5 5.0 2.6 0.7 3.7 10.5 12.2 266.8 48.4 34.0 792.5 142.2 19.4 11.8 186.8 121.3 323.6 3,653.1 66.3 208.3 1,568.1 17.6 58.4 406.6 0.4 5.5 1.4 0.3 3.8 4.9 1.5 11.7 5.7 0.8 13.5 3.8 21.5 142.7 193.4 1.0 8.9 4.8 1.3 5.3 16.2 4.4 73.9 17.9 12.2 222.1 51.4 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Ozone season-day emissions (lbs/day) VOC NOx CO 2,891 15 481 54,788 18,719 185,165 18,413 9,133 78,723 4,627 2,512 23,876 0 0 9 0 0 89 11 6 757 1 0 63 478 437 13,117 6 9 109 88 24 1,440 0 0 321 1,629 9,082 4,438 18 15 231 151 563 7,907 89 377 3,578 22 99 863 3 57 12 2 46 49 13 143 61 2 44 10 55 433 546 2 25 14 4 19 56 65 1,338 256 182 3,975 752 110 58 978 710 1,834 24,672 389 1,167 10,478 103 330 2,718 2 27 8 2 19 26 8 59 30 4 68 20 119 725 1,034 5 45 25 7 27 87 24 371 94 65 1,114 272 56 Table 5.2–1. Annual and season-day onroad mobile source emissions in Maricopa County, by road and vehicle type (continued). Road type Urban Restricted Access Urban Unrestricted Access Source type 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 Combination long-haul truck 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 Combination long-haul truck Annual emissions (tons/yr) VOC NOx CO 68.5 57.7 854.8 727.0 2,480.8 37,610.8 406.6 1,624.6 15,923.9 101.7 424.0 3,658.1 2.2 40.2 9.1 2.2 33.6 41.7 11.0 108.8 48.5 6.7 126.9 31.5 185.3 1,433.8 1,926.7 8.2 88.5 45.1 12.7 58.2 189.0 33.0 628.4 131.0 90.8 1,864.4 381.3 188.0 77.6 1,414.9 1,389.8 3,125.4 39,420.5 745.3 1,959.3 16,443.3 200.4 562.5 4,279.4 2.4 33.0 9.6 2.1 17.4 23.5 9.6 62.8 29.2 6.8 101.4 29.5 186.3 1,095.2 1,519.4 8.5 70.9 36.3 11.4 37.9 126.5 20.6 307.9 77.1 55.6 910.3 221.9 Ozone season-day emissions (lbs/day) VOC NOx CO 387 283 4,478 4,281 14,055 254,968 2,398 9,114 106,901 599 2,384 24,565 12 202 48 12 175 221 59 546 258 36 636 167 1,034 7,289 10,312 44 444 240 73 298 1,014 177 3,152 693 487 9,353 2,016 1,067 380 7,412 8,125 17,771 265,899 4,363 11,024 109,648 1,173 3,193 28,535 13 165 50 11 90 124 51 315 155 36 509 156 1,032 5,547 8,126 46 355 193 65 193 678 110 1,545 408 298 4,567 1,174 Table 5.2–2. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2008 standard, by road and source type. Road type OffNetwork Source type 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 Combination long-haul truck Annual emissions (tons/yr) VOC NOx CO 406.4 3.4 103.8 8,500.9 3,548.5 36,186.8 2,912.9 1,707.2 14,960.8 742.2 469.1 4,519.4 0.0 0.1 1.6 0.1 0.0 16.2 2.8 1.1 139.7 0.3 0.1 11.6 84.7 81.3 2,442.4 1.2 1.6 20.1 12.4 4.4 267.3 1.1 0.0 59.5 157.7 923.9 456.4 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Season-day emissions (lbs/day) VOC NOx CO 2,925 15 487 55,102 18,823 186,190 18,547 9,197 79,279 4,660 2,530 24,045 0 0 9 0 0 89 11 6 764 1 0 64 484 442 13,267 6 9 110 89 24 1,453 0 0 326 829 4,623 2,425 57 Table 5.2–2. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2008 standard, by road and source type (continued). Road type Rural Restricted Access Rural Unrestricted Access Urban Restricted Access Urban Unrestricted Access Source type 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 Combination long-haul truck 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 Combination long-haul truck 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 Combination long-haul truck 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 Combination long-haul truck Annual emissions (tons/yr) VOC NOx CO 1.7 1.7 24.8 14.1 55.2 652.8 8.3 37.4 298.7 2.1 9.8 71.9 0.3 5.8 1.1 0.2 4.5 4.7 1.3 14.7 5.9 0.2 4.0 0.9 4.4 38.8 46.3 0.2 2.3 1.2 0.3 1.7 4.8 6.2 136.1 24.5 17.3 404.5 72.1 17.2 10.4 165.6 106.4 284.3 3,210.5 58.3 183.2 1,379.5 15.5 51.4 357.8 0.3 4.3 1.1 0.2 3.0 3.9 1.2 9.4 4.5 0.7 11.3 3.2 17.9 118.8 161.1 0.9 7.4 4.0 1.1 4.4 13.5 3.5 58.3 14.1 9.6 175.3 40.5 68.7 58.0 858.4 729.8 2,491.4 37,811.3 408.8 1,633.9 16,030.1 102.3 426.4 3,681.9 2.2 40.3 9.1 2.2 33.1 41.1 11.0 108.9 48.5 6.7 127.6 31.7 185.7 1,437.1 1,931.3 8.2 88.7 45.2 12.8 58.2 189.1 32.9 626.3 130.6 90.6 1,859.0 380.2 189.3 78.2 1,425.7 1,398.6 3,146.9 39,675.5 751.3 1,976.0 16,576.8 202.0 567.3 4,314.3 2.5 33.2 9.6 2.1 17.3 23.3 9.7 63.2 29.4 6.8 102.2 29.8 187.1 1,099.7 1,525.6 8.6 71.2 36.5 11.5 38.0 126.8 20.7 308.8 77.3 55.8 913.3 222.6 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Season-day emissions (lbs/day) VOC NOx CO 10 8 130 83 313 4,425 49 210 2,005 12 55 483 1 29 6 1 23 25 7 74 31 1 20 5 25 197 247 1 11 6 2 9 26 33 683 130 93 2,029 381 97 51 868 623 1,611 21,682 342 1,027 9,218 91 290 2,391 1 22 6 1 15 20 7 47 24 4 56 17 99 603 862 5 37 21 6 22 72 19 292 74 51 879 214 388 284 4,496 4,297 14,115 256,328 2,411 9,166 107,614 602 2,397 24,725 12 202 48 12 172 218 59 546 258 36 640 168 1,036 7,306 10,337 44 445 240 73 298 1,014 176 3,142 691 486 9,326 2,011 1,074 384 7,469 8,177 17,892 267,621 4,398 11,117 110,539 1,182 3,220 28,768 13 167 51 11 90 123 52 317 156 37 513 158 1,036 5,570 8,159 46 357 194 65 194 679 111 1,549 409 299 4,582 1,177 58 Table 5.2–3. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2015 standard, by road and source type. Road type OffNetwork Rural Restricted Access Rural Unrestricted Access Urban Restricted Access Source type 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 Combination long-haul truck 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 Combination long-haul truck 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 Combination long-haul truck 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 Combination long-haul truck Annual emissions (tons/yr) VOC NOx CO 419.6 3.6 107.2 8,686.2 3,625.6 36,972.6 2,984.1 1,748.9 15,325.6 760.3 480.6 4,629.9 0.0 0.1 1.7 0.1 0.0 16.3 2.9 1.1 143.8 0.3 0.1 12.1 87.5 83.9 2,520.8 1.3 1.7 20.7 12.7 4.5 274.9 1.1 0.0 61.8 157.7 924.1 458.9 1.7 1.7 24.8 14.1 55.2 652.4 8.3 37.5 299.3 2.1 9.8 72.1 0.3 5.8 1.1 0.2 4.4 4.6 1.3 14.8 6.0 0.2 4.1 0.9 4.4 38.7 46.2 0.2 2.3 1.2 0.3 1.7 4.8 6.2 136.0 24.5 17.3 404.6 72.1 20.0 11.8 188.7 124.4 327.0 3,734.4 68.2 210.7 1,603.4 18.1 59.2 416.0 0.3 4.8 1.3 0.3 3.2 4.2 1.4 10.4 5.0 0.8 12.9 3.7 20.5 135.3 183.8 1.0 8.5 4.5 1.2 5.0 15.3 3.9 64.6 15.6 10.7 194.4 45.0 68.7 58.0 858.4 729.4 2,490.0 37,790.1 409.7 1,637.3 16,063.0 102.5 427.3 3,689.7 2.2 40.5 9.2 2.1 32.5 40.3 11.1 109.7 48.9 6.8 128.5 31.9 185.6 1,436.9 1,931.0 8.2 88.7 45.2 12.7 58.0 188.4 32.8 625.9 130.5 90.6 1,859.5 380.3 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Season-day emissions (lbs/day) VOC NOx CO 3,021 15 502 56,304 19,231 190,233 19,000 9,421 81,212 4,775 2,592 24,633 0 0 9 0 0 89 11 6 787 1 0 66 499 457 13,693 6 9 114 92 24 1,494 0 0 339 829 4,624 2,438 10 8 130 83 313 4,422 49 210 2,009 12 55 484 1 29 6 1 23 24 7 74 32 1 20 5 25 197 247 1 11 6 2 9 26 33 682 130 93 2,030 381 113 58 988 728 1,853 25,217 400 1,181 10,711 106 334 2,779 2 24 7 1 17 22 7 52 27 4 65 19 113 687 983 5 42 24 7 25 82 21 324 83 57 976 238 388 284 4,496 4,295 14,107 256,184 2,416 9,185 107,835 603 2,402 24,778 12 203 49 11 169 213 59 550 260 36 645 169 1,036 7,305 10,335 44 445 240 73 297 1,010 176 3,140 690 486 9,328 2,011 59 Table 5.2–3. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2015 standard, by road and source type (continued). Road type Urban Unrestricted Access Source type 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 Combination long-haul truck 5.3 Quality assurance process 5.3.1 VMT estimates Annual emissions (tons/yr) VOC NOx CO 191.5 79.0 1,441.3 1,414.4 3,180.6 40,108.7 761.7 2,002.3 16,801.4 204.8 574.9 4,373.0 2.5 33.5 9.7 2.1 17.0 22.9 9.8 63.9 29.8 6.9 103.6 30.2 188.3 1,106.7 1,535.2 8.6 71.6 36.7 11.5 38.1 127.1 20.7 309.9 77.6 56.0 917.4 223.7 Season-day emissions (lbs/day) VOC NOx CO 1,087 388 7,551 8,269 18,085 270,542 4,459 11,266 112,035 1,198 3,264 29,160 13 168 51 11 88 121 52 320 158 37 520 160 1,043 5,606 8,211 46 359 195 65 194 681 111 1,555 410 300 4,603 1,183 Normal quality assurance procedures, including automated and manual consistency checks, were conducted by MAG in developing the 2017 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. 5.3.2 Emission estimates The quality assurance process performed on the MOVES2014b analyses included accuracy, completeness, and reasonableness checks. For reasonableness, the 2017 onroad mobile sources emission estimates were compared with previous emissions inventories. For accuracy and completeness, all input/output data and calculations were checked by an independent reviewer. Any errors found were corrected and the corrections were then rechecked by the reviewer. 5.4 Summary of all onroad mobile source emissions Tables 5.4–1 through 5.4–3 summarize annual and season-day onroad mobile source emissions, by road type, for Maricopa County, the 8-hour ozone NAA for the 2008 standard, and the 8-hour ozone NAA for the 2015 standard, respectively. Tables 5.4–4 through 5.4–6 also summarize annual and season-day emissions from onroad mobile sources, by vehicle type. Table 5.4–7 summarizes the annual and ozone season-day emissions for VOC, NOx, and CO from all onroad mobile sources in Maricopa County, the 8-hour ozone NAA for the 2008 standard, and the 8-hour ozone NAA for the 2015 standard in 2017. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 60 Table 5.4–1. Annual and ozone season-day onroad mobile source emissions in Maricopa County, by road type. Road type Off-network Rural restricted access Rural unrestricted access Urban restricted access Urban unrestricted access Totals: Annual emissions (tons/yr) VOC NOx CO 12,893.4 7,596.1 59,196.6 108.4 1,398.1 2,203.0 268.0 1,089.5 6,114.1 1,655.9 8,969.9 60,851.5 2,826.8 8,361.6 63,631.1 17,752.5 27,415.2 191,996.3 Season-day emissions (lbs/day) VOC NOx CO 82,932 39,937 308,588 608 7,134 14,335 1,548 5,844 40,442 9,599 47,931 405,881 16,390 45,654 422,558 111,077 146,500 1,191,804 Table 5.4–2. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2008 standard, by road type. Road type Off-network Rural restricted access Rural unrestricted access Urban restricted access Urban unrestricted access Totals: Annual emissions (tons/yr) VOC NOx CO 12,822.7 6,740.7 59,185.6 56.6 716.5 1,209.7 232.8 921.5 5,359.3 1,661.9 8,988.9 61,188.5 2,846.0 8,415.3 64,073.2 17,620.0 25,782.9 191,016.3 Season-day emissions (lbs/day) VOC NOx CO 82,654 35,669 308,508 318 3,661 7,900 1,346 4,952 35,469 9,632 48,039 408,148 16,501 45,952 425,503 110,451 138,273 1,185,528 Table 5.4–3. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2015 standard, by road type. Road type Off-network Rural restricted access Rural unrestricted access Urban restricted access Urban unrestricted access Totals: Annual emissions (tons/yr) VOC NOx CO 13,113.8 6,874.2 60,546.3 56.6 716.6 1,210.0 270.8 1,047.8 6,220.9 1,662.4 8,992.8 61,206.9 2,878.8 8,498.5 64,817.3 17,982.4 26,129.9 194,001.4 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Season-day emissions (lbs/day) VOC NOx CO 84,538 36,379 315,609 318 3,661 7,902 1,564 5,638 41,180 9,635 48,060 408,270 16,691 46,416 430,458 112,746 140,154 1,203,419 61 Table 5.4–4. Annual and ozone season-day onroad mobile source emissions in Maricopa County, by source type. Source type 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 Combination long-haul truck Totals: Annual emissions (tons/yr) VOC NOx CO 680.7 153.5 2,603.3 10,716.3 9,558.3 117,838.5 4,125.3 5,554.8 49,324.2 1,060.2 1,528.3 12,960.1 5.5 90.1 23.9 5.1 63.7 95.7 27.4 213.0 233.3 15.0 250.7 78.3 486.6 2,837.2 6,156.3 19.4 174.9 108.7 38.3 109.4 607.0 71.2 1,277.0 333.0 501.5 5,604.3 1,634.0 17,752.5 27,415.2 191,996.3 Ozone season-day emissions (lbs/day) VOC NOx CO 4,473 751 13,580 68,055 52,942 738,611 25,652 30,815 309,328 6,524 8,518 80,557 30 451 127 27 330 509 142 1,069 1,261 79 1,257 416 2,718 14,431 33,135 103 878 581 237 561 3,275 376 6,406 1,772 2,661 28,091 8,652 111,077 146,500 1,191,804 Table 5.4–5. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2008 standard, by source type. Source type 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 Combination long-haul truck Totals: Annual emissions (tons/yr) VOC NOx CO 683.3 151.7 2,578.3 10,749.8 9,526.3 117,536.9 4,139.6 5,537.7 49,245.9 1,064.1 1,524.0 12,945.3 5.3 83.7 22.5 4.8 57.9 89.2 26.0 197.3 228.0 14.7 245.2 77.2 479.8 2,775.7 6,106.7 19.1 171.2 107.0 38.1 106.7 601.5 64.4 1,129.5 306.0 331.0 4,276.0 1,171.8 17,620.0 25,782.9 191,016.3 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Ozone season-day emissions (lbs/day) VOC NOx CO 4,494 742 13,450 68,282 52,754 736,246 25,747 30,717 308,655 6,547 8,492 80,412 27 420 120 25 300 475 136 990 1,233 79 1,229 412 2,680 14,118 32,872 102 859 571 235 547 3,244 339 5,666 1,630 1,758 21,439 6,208 110,451 138,273 1,185,528 62 Table 5.4–6. Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone NAA for the 2015 standard, by source type. Source type 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 Combination long-haul truck Totals: Annual emissions (tons/yr) VOC NOx CO 701.5 154.1 2,620.4 10,968.5 9,678.4 119,258.2 4,232.0 5,636.7 50,092.7 1,087.8 1,551.8 13,180.7 5.3 84.7 23.0 4.8 57.1 88.3 26.5 199.9 233.5 15.0 249.2 78.8 486.3 2,801.5 6,217.0 19.3 172.8 108.3 38.4 107.3 610.5 64.7 1,136.4 310.0 332.3 4,300.0 1,180.0 17,982.4 26,129.9 194,001.4 Ozone season-day emissions (lbs/day) VOC NOx CO 4,619 753 13,667 69,679 53,589 746,598 26,324 31,263 313,802 6,694 8,647 81,834 28 424 122 24 297 469 136 1,002 1,264 79 1,250 419 2,716 14,252 33,469 102 866 579 239 549 3,293 341 5,701 1,652 1,765 21,561 6,251 112,746 140,154 1,203,419 Table 5.4–7. Annual and ozone season-day emissions from all onroad mobile sources in Maricopa County, the 8-hour ozone NAA for the 2008 standard, and the 8-hour ozone NAA for the 2015 standard. Geographic area Maricopa County 8-hour ozone NAA for the 2008 standard 8-hour ozone NAA for the 2015 standard 5.5 Annual emissions (tons/yr) VOC NOx CO 17,752.5 27,415.2 191,996.3 Ozone season-day emissions (lbs/day) VOC NOx CO 111,077 146,500 1,191,804 17,620.0 25,782.9 191,016.3 110,451 138,273 1,185,528 17,982.4 26,129.9 194,001.4 112,746 140,154 1,203,419 References MAG, 2009. MAG Eight-Hour Ozone Redesignation Request and Maintenance Plan for the Maricopa Nonattainment Area, Maricopa Association of Governments, February 2009. US EPA, 2014. 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-14008, July 2014. US EPA, 2015a. MOVES2014a User Guide, U.S. Environmental Protection Agency, EPA-420-B-15-095, November 2015. US EPA, 2015b. MOVES2014a Software Design Reference Manual, U.S. Environmental Protection Agency, EPA-420-B-15-096, November 2015. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 63 US EPA, 2016. MOVES2014a User Interface Reference Manual, U.S. Environmental Protection Agency, EPA-420-B-16-085, November 2016. US EPA, 2017. 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, EPA-454-B-17-003, July 2017. US EPA, 2018a. MOVES2014 User Interface Reference Manual Appendix: MOVES2014b, U.S. Environmental Protection Agency, EPA-420-B-18-038, August 2018. US EPA, 2018b. MOVES2014, MOVES2014a, and MOVES2014b Technical Guidance: Using MOVES to Prepare Emission Inventories for State Implementation Plans and Transportation Conformity, U.S. Environmental Protection Agency, EPA-420-B-18-039, August 2018. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 64 Biogenic Sources 6.1 Introduction Biogenic emissions have been estimated for the 2017 PEI for ozone precursors in Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards using MEGAN. MEGAN is a state-of-the-art biogenic emissions model developed initially at the NCAR and maintained at the University of California, Irvine. Some 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). VOCs, CO, and NOx emissions are reported as ozone precursor emissions. In an effort to improve the meteorology field generated for MEGAN by the Weather Research and Forecasting Model (WRF), WRF Data Assimilation (WRFDA) was implemented for the 2017 PEI using surface observational data and upper-air sounding data obtained from the National Centers for Environmental Prediction (NCEP). The WRF Data Assimilation technique combines observations with WRF outputs (the first guess or background forecast) and their respective error statistics to provide an improved estimate (the analysis) of the atmospheric state. The application of the four-dimensional data assimilation (FDDA) option using surface observations further improved the WRF meteorological modeling performance as described in section 6.3 below. Gridded biogenic emissions were calculated for each day in 2017 using day-specific hourly WRF meteorology. The gridded daily emissions were aggregated to produce monthly and annual emission totals. 6.2 Modeling domain MEGAN inputs and outputs for each grid cell are based on a user-defined two-dimensional gridded modeling domain. A 4-km x 4km grid was defined to cover the entire area of Maricopa County and portions of neighboring counties. The target areas for the development of biogenic emissions are Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards within the 4-km domain. The modeling domain is defined with a Lambert Conformal Conic Projection (LCC) coordinate system and the available domain parameters are presented in Table 6.2–1. Additional input files that mask areas covered by Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards were developed using ArcGIS software in order to calculate emissions for those three target areas. The masking value is 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 8-hour ozone NAAs), and 0.0 for grid cells outside the target area. As shown in Figure 6.2–1, biogenic emissions for Maricopa County and the 8-hour ozone NAAs were extracted from MEGAN simulations using the mask values from all of corresponding masked grid cells in the 4-km modeling domain as weights. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 65 Table 6.2–1. The 4-km gridded modeling domain in the LCC coordinate system. Grid horizontal resolution Grid size 4 km × 4 km 62 × 50 Domain range (Decimal Degrees) (32.47, –113.41) to (34.30, –110.76) Target area 8-hour ozone NAAs for 2008 and 2015 standards and Maricopa County Figure 6.2–1. The WRF 4-km × 4-km grid (white), MEGAN 4-km × 4-km grid (yellow), the 8-hour ozone NAA for the 2008 standard (blue), the 8-hour ozone NAA for the 2015 standard (blue plus green), and Maricopa County (grid cells within the brown boundary). 6.3 Input data MEGAN requires both land cover and meteorological data as inputs for the calculation of biogenic emissions. 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 1-km NASA MODIS satellite observations; the PFT data are based on the National Land Cover Dataset with adjustments using additional datasets; and the EF data are based on a global map of species composition and speciesspecific emission factors or can be derived from PFT distributions and PFT-specific emission factors. For the 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 66 2017 PEI, PFT-dependent emission factors were used. This is consistent with the previous 2014 PEI. Within Maricopa County, PFT was adjusted based on the latest land use and land cover data from MAG. In the urban area, LAI and EF data were updated using LAI and EF files that were developed for the old MAG 4km domain by ENVIRON (Mansell et al., 2006). 6.3.2 Meteorological data Meteorological data were obtained from WRF version 3.9 model runs by post-processing with the Meteorology-Chemistry Interface Processor (MCIP). The output of MCIP was then used as input to MET2MGN, a component program of MEGAN, which prepares the meteorological data for input to MEGAN. The MET2MGN output includes photosynthetically active radiation (PAR) at the surface, air temperature at two meters above surface, air pressure, humidity, wind speed, top-layer soil moisture, and temperature, and accumulated precipitation for each grid cell for each hour. Biogenic emissions of VOC and CO are mainly affected by temperature, solar radiation, and soil moisture. NOx emissions from soils depend on 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 and daily maximum air temperature, surface soil temperature, PAR, air pressure, wind speed, water vapor mixing ratio, surface soil moisture, and 24-hour accumulated precipitation in Maricopa County. The highest daily mean temperature and PAR were both recorded in June. The highest daily mean soil temperature and soil moisture both occurred in July. Therefore, the highest NOx emissions from soil are expected to occur in July due to the higher soil temperature and moisture. The soil moisture is generally higher in July due to more rainfalls during the month. In particular, strong pulse NOx emission responses to wet soil can occur in high temperature regions (Bertram et al. 2005; Oikawa, 2015). Higher temperature and higher PAR contribute to elevated biogenic VOC and CO emissions. In order to validate the WRF model output, the modeled temperature, water vapor mixing ratio, wind speed, and solar radiation were compared to hourly observations from fifteen National Weather Service stations (NWS; DS472.0) and twelve Arizona Meteorological Network (AZMET) stations located within the 4-km modeling domain. Figure 6.3-2 illustrates the locations of the monitoring stations in these two networks. The accuracy of the modeled temperature, water vapor mixing ratio, wind speed, and solar radiation was evaluated by performing a linear regression on the sets of paired modeled and observed hourly meteorological parameters, with a sample size of 7974. For each parameter the coefficient of determination (R2) was computed, which represents the amount of variability in the observations that is explained by the model. Possible values of R2 range from 0.0 to 1.0. The R2 value of 1.0 means that the model explains 100% of the variability in the observations (model predictions perfectly fit observations) while a value of 0.0 means that the model explains none of the variability (model predictions are not correlated to observations at all). Thus, higher values of R2 represent improvements in model accuracy. As shown in Figure 6.3-3, the R2 values for temperature, water vapor mixing ratio, wind speed, and solar radiation using WRF FDDA are 0.98, 0.89, 0.63, and 0.92, respectively. This indicates that WRF with FDDA generates a more realistic set of meteorological inputs for use in the estimation of biogenic emissions. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 67 Figure 6.3–1. WRF modeled daily average and daily maximum values of temperature at 2 meters above surface, soil temperature, PAR, air pressure, wind speed at 10 meters above the ground, water vapor mixing ratio at 2 meters above the ground, soil moisture, and 24-hour accumulated precipitation. Daily Average Daily Maximum 120 110 Soil Temperature (°F) Temperature at 2 meters (°F) 130 100 90 80 70 60 50 40 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 140 130 120 110 100 90 80 70 60 50 40 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 1040 600 1020 500 1000 Pressure (hPa) PAR (W/m2) 700 400 300 200 100 0 980 960 940 920 900 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 90 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 25 20 70 Mixing Ratio (g/kg) Wind Speed (mph) 80 60 50 40 30 20 10 10 5 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 0.45 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 0.35 0.40 0.30 24-h accumulated rain (inche) Soil Moisture (m3/m3) 0 15 0.35 0.30 0.25 0.20 0.15 0.10 0.05 0.00 0.25 0.20 0.15 0.10 0.05 0.00 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 68 Figure 6.3.-2 Locations of NWS and AZMET meteorological stations. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 69 Figure 6.3–3. Paired hourly modeled and observed data in 2017 from NWS and AZMET stations for temperature at 2 meters above the surface, water vapor mixing ratio at 2 meters above the ground, wind speed at 10 meters above the ground, and surface solar radiation. Temperature; R2 = 0.98 Water Vapor Mix Ratio; R2 = 0.89 120 20 16 Modeled (g/kg) Modeled (°F) 100 80 60 40 12 8 4 0 40 60 80 Observed (°F) 100 120 0 4 30 1200 25 1000 20 800 Modeled (W/m2) Modeled (mph) 16 20 Surface Solar Radiation; R2 = 0.92 15 10 600 400 200 5 6.4 12 Observed (g/kg) Wind Speed; R2 = 0.63 0 8 0 5 10 15 20 Observed (mph) 25 30 0 0 200 400 600 800 Observed (W/m2) 1000 1200 Emission estimation Average daily emissions for each month in 2017 are provided in Table 6.4–1 for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards. Average daily emissions in 2017 and annual mean diurnal cycles of emissions of ozone precursors including VOC, NOx, and CO for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards are illustrated in Figure 6.4–1. Monthly biogenic emissions for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards are presented in Table 6.4–2. The maximum emissions occurred during the ozone season (June–August), as temperature and solar radiation reached their highest levels during those summer months. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 70 Table 6.4–1. Average daily biogenic emissions (lbs/day) by month in 2017 for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards. Month January February March April May June July August September October November December Maricopa County VOC NOx CO 63,780 562 5,096 170,321 1,412 15,900 463,502 3,113 52,326 598,257 3,357 73,029 1,160,381 5,330 143,020 2,547,929 9,593 312,622 2,383,573 10,698 291,453 2,041,594 9,586 248,678 1,110,926 5,573 132,159 504,920 2,740 55,905 177,754 1,130 17,676 80,591 735 7,098 8-hour ozone NAA (2015) VOC NOx CO 34,487 333 2,806 94,364 849 9,075 265,332 1,918 30,921 323,798 1,953 41,180 665,632 3,217 84,733 1,453,276 5,782 185,167 1,302,138 6,404 165,716 1,095,202 5,503 140,228 598,401 3,150 75,033 264,496 1,518 30,913 94,690 631 9,812 46,148 448 4,157 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 8-hour NAA (2008) VOC NOx CO 32,370 316 2,649 87,956 806 8,509 246,246 1,809 28,915 301,930 1,851 38,687 625,196 3,056 80,056 1,364,303 5,493 174,977 1,229,423 6,073 157,484 1,031,352 5,236 132,945 557,938 2,978 70,497 247,216 1,437 29,082 88,437 597 9,215 43,118 424 3,902 71 Figure 6.4–1. Daily biogenic emissions in 2017, and annual mean diurnal cycles of VOC, NOx, and CO emissions for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards. 2500 60 Maricopa County 8-hour Ozone NAA (2015) 50 8-hour Ozone NAA (2008) VOC (tons/hour) VOC (tons/day) 2000 1500 1000 500 20 10 0 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 8 0.18 7 0.16 6 0.14 0.10 4 0.08 3 0.06 0.04 1 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 0.12 5 2 0.02 Jan Feb Mar Apr May May Jun Jul Aug Sep Oct Nov Dec 0.00 300 7 250 6 200 CO (tons/hour) CO (tons/day) 30 NOx (tons/hour) NOx (tons/day) 0 40 150 100 50 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 5 4 3 2 1 Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 72 Table 6.4–2. Monthly biogenic emissions (tons/month) in 2017 for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards. Month January February March April May June July August September October November December Total 6.5 Maricopa County VOC NOx CO 988.6 8.7 79.0 2,384.5 19.8 222.6 7,184.3 48.2 811.1 8,973.9 50.4 1,095.4 17,985.9 82.6 2,216.8 38,218.9 143.9 4,689.3 36,945.4 165.8 4,517.5 31,644.7 148.6 3,854.5 16,663.9 83.6 1,982.4 7,826.2 42.5 866.5 2,666.3 16.9 265.1 1,249.2 11.4 110.0 172,731.8 822.4 20,710.2 8-hour ozone NAA (2015) VOC NOx CO 534.5 5.2 43.5 1,321.1 11.9 127.0 4,112.6 29.7 479.3 4,857.0 29.3 617.7 10,317.3 49.9 1,313.4 21,799.1 86.7 2,777.5 20,183.1 99.3 2,568.6 16,975.6 85.3 2,173.5 8,976.0 47.2 1,125.5 4,099.7 23.5 479.2 1,420.3 9.5 147.2 715.3 6.9 64.4 95,311.6 484.4 11,916.8 8-hour NAA (2008) VOC NOx CO 501.7 4.9 41.1 1,231.4 11.3 119.1 3,816.8 28.0 448.2 4,529.0 27.8 580.3 9,690.5 47.4 1,240.9 20,464.5 82.4 2,624.7 19,056.0 94.1 2,441.0 15,985.9 81.2 2,060.6 8,369.1 44.7 1,057.5 3,831.9 22.3 450.8 1,326.6 9.0 138.2 668.3 6.6 60.5 89,471.7 459.7 11,262.9 Summary of all biogenic source emissions Annual and ozone season (June–August) average daily emissions from biogenic sources for Maricopa County and the two 8-hour ozone NAAs are provided in Table 6.5–1. Table 6.5–1. Annual and season-day biogenic emissions in 2017 for Maricopa County and the 8-hour ozone NAAs for the 2008 and 2015 standards. Geographic Area Maricopa County 2008 ozone NAA 2015 ozone NAA 6.6 Annual emissions (tons/yr) VOC NOx CO 172,731.8 822.4 20,710.2 89,471.7 459.7 11,262.9 95,311.6 484.4 11,916.8 Season-day emissions (lbs/day) VOC NOx CO 2,324,365 9,959 284,251 1,208,359 5,601 155,135 1,283,539 5,896 163,704 References Bertram, T. H., A. Heckel, A. Richter, J. P. Burrows, and R. C. Cohen, 2005, Satellite measurements of daily variations in soil NOx emissions, Geophys. Res. Lett., 32, L24812, doi:10.1029/2005GL024640. Gerard E. Mansell, Greg Yarwood (ENVIRON), Alex Guenther (NCAR), and Christine Wiedinmyer (Golden CO), 2006. Final Report Maricopa Association of Governments 2006 Biogenics Study. 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. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 73 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/gmd5-1471-2012. 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 Oikawa, P.Y., Ge, C., Wang, J., Eberwein, J.R., Liang, L.L., Allsman, L.A., Grantz, D.A. and Jenerette, G.D., 2015. Unusually high soil nitrogen oxide emissions influence air quality in a high-temperature agricultural region. Nature communications, 6, p.8753. http://doi.org/10.1038/ncomms9753. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 74 List of Appendices Appendix A Appendix B Appendix E Instructions for Reporting 2017 Annual Air Pollution Emissions............................................ A-1 Rule Effectiveness (RE) Studies Introduction ....................................................................................................................................... B-1 Calculating Rule Effectiveness Rates for Title V and Non-Title V Facilities .......................... B-2 References........................................................................................................................................... B-3 MOVES2014b Local Input Data and RunSpecs MOVES2014b RunSpec Summary (Maricopa County, Sept 11 2018) .................................... C-2 MOVES2014b RunSpec (Maricopa County, Sept 11 2018)....................................................... C-4 MOVES2014b Local Input Data (Maricopa County, Sept 11 2018) ........................................ C-7 Emissions from Facilities treated as Area Sources in the 2017 Periodic Emissions Inventory............................................................................................................................................ D-1 Responsiveness Summary.................................................................................................................E-1 Appendix F Ozone Season-Day............................................................................................................................. F-1 Appendix C Appendix D Appendix A. Instructions for Reporting 2017 Annual Air Pollution Emissions Appendix A. Instructions for Reporting 2017 Annual Air Pollution Emissions INSTRUCTIONS FOR REPORTING 2017 ANNUAL AIR POLLUTION EMISSIONS January 2018 Emissions Inventory Unit 1001 North Central Avenue, Suite 125 Phoenix, Arizona 85004 Phone: (602) 506-6790 Fax: (602) 506-6179 Email: EmissionsInventory@mail.maricopa.gov Copies of this document, related forms, and other reference materials are available online at our web site: https://www.maricopa.gov/2648/Emissions-Inventory-Instructions-H elp-Sh TABLE OF CONTENTS WHAT’S NEW FOR 2017? ............................................................................................................................... 1 I. INTRODUCTION............................................................................................................................................. 2 Steps to Complete Your 2017 Maricopa County Emissions Inventory II. REPORTING REQUIREMENTS ............................................................................................................... 3 − Pollutants to be Reported − Emission Calculation Method Hierarchy − Reporting Forms − Non-Operational Facilities 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 Maricopa County Emissions Inventory Unit ii Instructions for Reporting 2017 Emissions WHAT'S NEW FOR 2017? Miscellaneous: • Emissions fees for Title V facilities: In accordance with Maricopa County Air Pollution Control Rule 280 (Fees), the 2017 annual emission fee for Title V sources is $43.60/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 2017 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 2017 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 2017 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 200.129 and 200.80 for a full definition.) ** 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 2017 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 304.1). (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. 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 for 2017. “Homemade” reporting forms that vary significantly from the preprinted forms sent to you will not be accepted. NON-OPERATIONAL FACILITIES: • Any facility that has been issued an air quality permit, but that did NOT operate at any time during 2017, 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 2017, by the due date shown on the Business Form. Maricopa County Emissions Inventory Unit 4 Instructions for Reporting 2017 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: § 200.126 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 CONFIDENTIALITY OF INFORMATION: 402.2 Any records, reports or information obtained from any person under these rules shall be available to the public ... unless a person: a. Precisely identifies the information in the permit(s), records, or reports which is considered confidential. b. 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 2017 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 Engineering & Permitting Division at (602) 506-6702 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 2017 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: https://www.maricopa.gov/2648/Emissions-Inventory-Instructions-Help-Sh • 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: https://www.maricopa.gov/2651/Other-Inventory-Resources 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 EmissionsInventory@mail.maricopa.gov. Maricopa County Emissions Inventory Unit 7 Instructions for Reporting 2017 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 Engineering & Permitting Division at (602) 506-6702 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: https://www.maricopa.gov/2651/Other-Inventory-Resources, 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 2017 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 4 5a OR 5b Stack Stack Type Stack Exit Gas Velocity ID Code* Height** Temperature feet/sec o 1 W 30 ft 90 F 2 V 14 ft * Stack Type Codes: o 200 F Flow Rate acfm 6a OR 6b & 6c Diameter Length / Width inside inch inside inch 20,000 36 19,186 40 V = Vertical unobstructed D = Downward unobstructed W = Obstructed vertical (e.g. weather cap) 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 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 2017 Emissions Control Device Form Instructions 1 Control ID 2 Installation/ Reconstruction* Date EXAMPLE Control Device Form Information 3 4 Size or Rated Capacity** Control Type Code 5 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: https://www.maricopa.gov/2648/Emissions-InventoryInstructions-Help-Sh 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 2017 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 cannot 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 2017. 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 2017. 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 2017 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 (CEMs) 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 CEMs or test results. Report “1” in this column for CEMs 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 2017 Emissions General Process Form 2017 EXAMPLE: Internal Combustion 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 80 2- Process Type/Description: 3 ENGINES FOR CRUSHING (EACH LESS TH AN 600 H P) 3- Stack ID(s) (only if required on Stack Form) _______ ________ ________ ________ ________ 020599 20200102 (8 digit number) FUEL COMB. INDUSTRIAL: INTERNAL COMBUSTION 5- SCC Code IND:DIESEL-RECIPROCATING 6- Seasonal Throughput Percent: Dec-Feb 20 % Mar-May 25 % Jun-Aug 30 % Sep-Nov 25 % 7- Normal Operating Schedule: Hours/Day 8 Days/Week 5 Hours/Year 2080 Weeks/Year 52 x 8- Typical Hours of Operation: (military time) Start 0700 End 1530 9- Emissions based on (name of material or other parameter, e.g. “rock”, “diesel”, “vehicle miles traveled”) DIESEL 4- Process TIER Code: 10-  Used (input) 11- Annual Amount: or (a number) Produced (output) 16,250 or Existing (e.g. VMT, acres) 12- Fuel Sulfur Content (in percent) __0.05_______% GALLONS 14- Unit Conversion Factor (if needed to convert Unit of Measure to correlate with emission factor units) 0.001 13- Unit of Measure: (for example: tons, gallons, million cu ft, acres, units produced, etc.) 15 Pollutant CO NOx PM-10 SOx VOC Emission Factor (EF) Information 16 17 18 Emission Factor (EF) (number) 130 604 42.5 39.7 49.3 Emission Factor Unit (lb per) M GALS M GALS M GALS M GALS M GALS Controlled EF? Yes or No N N N N N 19 Calculation Method Code* 5 5 5 5 5 20 Capture % Efficiency Control Device Information 21 22 23 Primary Control Device ID Secondary Control Device ID * 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 6 = State or Local Agency Emission Factor 7 = Manufacturer Specifications 8 = Site-Specific Emission Factor 9 = Vendor Emission Factor 10 = Trade Group Emission Factor Maricopa County Emissions Inventory Unit 13 Control Device(s) % Efficiency 24 Efficiency Reference Code** 25 Estimated Actual Emissions 2,113 lbs 9,815 lbs 691 lbs 645 lbs 801 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 2017 Emissions General Process Form 2017 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: H EAVY-DUTY TRUCKS @ 15 MPH 3- Stack ID(s) (only if required on Stack Form) _______ ________ ________ ________ ________ 140799 30502504 (8 digit number) MISCELLANEOUS: FUGITIVE DUST 5- SCC Code SAND/GRAVEL: H AULING 6- Seasonal Throughput Percent: Dec-Feb 25 % Mar-May 25 % Jun-Aug 25 % Sep-Nov 25 % 7- Normal Operating Schedule: Hours/Day 8 Days/Week 5 Hours/Year 2080 Weeks/Year 52 x 8- Typical Hours of Operation: (military time) Start 0700 End 1530 9- Emissions based on (name of material or other parameter, e.g. “rock”, “diesel”, “vehicle miles traveled”) VEH ICLE MILES TRAVELED (VMT) 4- Process TIER Code: 10- Used (input) 11- Annual Amount: or (a number) Produced (output) 7,500  Existing (e.g. VMT, acres) or 12- Fuel Sulfur Content (in percent) 13- Unit of Measure: (for example: tons, gallons, million cu ft, acres, units produced, etc.) ______________% VMT 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: (line 11 × col. 16) × (1 – [col. 20 × col. 23]) * 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 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 2017 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: https://www.maricopa.gov/2648/Emissions-Inventory-Instructions-Help-Sh 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 2017. 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 2017 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: Process without off-site recycling/disposal or control device: Column 15 = column 9 × column 11 Process with off-site recycling/disposal: Column 15 = (column 9 × column 11) – column 12 Process with control device: Column 15 = (column 9 × column 11) × (1 – [column 13 × column 14]) Process with both off-site recycling/disposal and control device: 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 2017 Emissions EXAMPLE: Coating and Painting Evaporative Process Form 2017 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 Type/Description: Coating metal parts 2- Process TIER Code: 080415 SOLVENT USE: SURFACE COATING - MISC METAL PARTS Dec-Feb 25 % 3- Seasonal Throughput Percent: Hours/Day 8 4- Normal Operating Schedule: 5- Typical Hours of Operation 6 7 Process ID Stack ID(s) 800 1 801 (military time) 8 Material Type Mar-May 25 % Days/Week 5 Start 0800 9 Jun-Aug 25 % Sep-Nov 25 % Hours/Year 2080 Weeks/Year 52__ End 1700 10 Annual Usage Input lb or gal VOC, HAP&NON or NHx Emission Factor 11 12 EF Units (lbs per) Pounds of pollutant* sent off site 13 Capture Efficiency % Control ID 14 Control Efficiency % Control Efficiency Code** 15 Estimated Emissions (lbs/yr) 95 gl VOC 4.7 gal % % 447 1 Lacquer 6455-06 lacq thinner 120 gl VOC 7.1 gal % % 852 802 1 Paint red 4039-03 940 gl VOC 4.2 gal % % 3,948 803 1 Toro-Red Paint 707 gl VOC 7.0 gal % % 4,949 803 1 Toro-Red Paint 707 gl HAP&NON 0.5 gal % % 354 804 1 powder paint 8730-11 20,200 lb VOC 0.001 lb % % 20 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: ([col. 9 × col. 11] – col. 12) × (1 – [col. 13 × col. 14]) ** Control Efficiency Reference Codes 1 = Tested efficiency / EPA reference method 4 = Best guess / engineering estimate Maricopa County Emissions Inventory Unit 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 2017 Emissions EXAMPLE: Cleaning solvent (with recycling) Evaporative Process Form 2017 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 Type/Description: 2- Process TIER Code: CLEANING METAL PARTS 080103 Dec-Feb 25 % 3- Seasonal Throughput Percent: Hours/Day 8 4- Normal Operating Schedule: 5- Typical Hours of Operation 6 7 Process ID Stack ID(s) 3 2 SOLVENT USE: DEGREASING - COLD CLEANING 8 Days/Week 5 Start 1300 (military time) 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 % Jun-Aug 25 % Hours/Year 2080 Sep-Nov 25 % Weeks/Year 52__ End 1700 10 11 VOC, HAP&NON or NHx Emission Factor EF Units (lbs per) VOC 1.0 lb gl VOC 7.2 1300 gl VOC 358 gl 2258 gl 12 13 14 Control Efficiency Code** 15 Pounds of pollutant* sent off site Capture Efficiency % Control ID Control Efficiency % Estimated Emissions (lbs/yr) 95 % 1 80 % gl 569 % % 727 3.3 gl 1,884 % % 2,406 VOC 6.4 gl 1,006 % % 1,285 VOC 6.8 gl 6,741 % % 8,613 % % 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 orig inal. 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 2017 Emissions EXAMPLE Off-Site Recycling/Disposal Form 2017 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: pounds gallons 2) What was the quantity of this waste stream in 2017? Indicate whether this quantity is reported in pounds or gallons. Keep waste 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 2,400 NHx disposal 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 5) 10,200 lbs/yr HAP&NON lbs/yr NHx lbs/yr 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) Maricopa County Emissions Inventory Unit 569 1,884 1,006 6,741 Annual HAP&NON (lbs) lbs lbs lbs lbs 19 lbs lbs lbs lbs Annual NHx (lbs) lbs lbs lbs lbs Instructions for Reporting 2017 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 201 Process ID Permit number 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 NOx = 0.09 lb/hr × 1 hr/60 min × 1 min/77.9 cu. ft × 1,000,000 cu. ft/MMCF = 19.3 lb/MMCF 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 Off-site 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: 2017 Usage 180 1,300 358 2,258 4,096 Average VOC content: Maricopa County Emissions Inventory Unit Units 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 2017 Emissions EXAMPLE (for all sources except Title V sources) Data Certification Form 2017 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 2017 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 2017 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 2017 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, § 304.2d) 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 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 Subcategory 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/Paper & Wood Products 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 2,000 to convert pounds into tons. Round to the nearest ton, and enter this value (a whole number) on line 7. Multiply this number by $43.60, and enter the result on line 8. This is your 2017 emission fee. Maricopa County Emissions Inventory Unit 22 Instructions for Reporting 2017 Emissions EXAMPLE (for Title V sources only) Data Certification/Fee Calculation Form 2017 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 2017 Annual Emissions: 8 (3) = TOTAL 2017 Emissions 2,113 0 2,113 0 0 0 0 0 0 2,400 0 2,400 Emissions fees are based on your emissions of the following pollutants ONLY: HAP&NON 354 0 354 VOC 24,220 0 24,220 NOx 9,815 0 9,815 SOx 645 0 645 PM10 (billable; see page 22) 691 0 691 Add “TOTAL” column from lines 1 through 5 ONLY: 35,725 CO NHx Lead PM10 (non-billable; see page 22) 1 2 3 4 5 6 7 (2) + Accidental Releases 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 $ 43.60. This is your 2017 ANNUAL EMISSION FEE. lbs. 18 TONS $ 784.80 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 2017 Emissions 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. A. Emissions before the application of rule effectiveness: Uncontrolled emissions × [ 1 – ( CE ) ] = Emissions after control 100 tons × [ 1 – (0.90) ] = 10.0 tons B. 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. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 B-1 2. Calculating Rule Effectiveness Rates for Title V and Non-Title V Facilities The observed compliance rate in some cases, such as multi-source Title V and non-Title V facilities, can be better described as a rate at which inspection staff issue violations. Inspection staff has a range of experience and training which influences their proficiency in issuing appropriate violations. There may be instances when a rule violation goes unnoticed by staff, or conversely a violation may be issued in error. Even when a compliance rate has a high statistical measure of accuracy, it can fail to reflect a number of programmatic measures that affect overall rule effectiveness; measures like the strength of rule language, departmental enforcement and penalty actions, inspector training programs, educational and public outreach efforts, etc. This reality is reflected in earlier US EPA guidance: A percentage effectiveness rating is not enough to describe the compliance effectiveness of a rule for a source category. An SSCD [Stationary Source Compliance Division] study should attempt to link the rating to a regulatory agency’s overall effort. The study should address the factors that affect the percentage effectiveness rating such as the compliance rate of the sources in a category, inspection frequency and thoroughness, the language of the rule (i.e., whether or not it has loopholes), and the reporting and recordkeeping by the regulatory agency. Evaluating these factors will provide a more complete evaluation of the effectiveness of a rule. (US EPA, 1994) In order to incorporate all the salient factors described above, a matrix was created to produce a final RE rate. 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–2 and B–3. 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 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 for each applicable rule or source category for which rule effectiveness was addressed, are contained in Tables B–2 and B–3. 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 2017 are summarized in Table B–1 below. Table B–1. Rates of compliance and rule effectiveness for 2017, by permit category. Source category Compliance rate * Rule Effectiveness (RE) rate Title V facilities 93.50% 94.29% Non-Title V facilities 89.33% 91.37% * Compliance rates for both Title V and Non-Title V facilities are based upon 2016–14 inspection data, and reflect compliance self-monitoring recordkeeping practices, in addition to violation data. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 B-2 For the remaining emission processes that include a control device or technique that limits ozone formation, separate multi-rule RE rates have been calculated for permitted Title V and non-Title V facilities. Factor-based matrices have been utilized to develop RE rates for Title V and nonTitle V facilities. Compliance rates for both Title V and non-Title V facilities are based on two full years of data (2016 and 2017), 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 self-monitoring 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–2 and B–3 below. 3. 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. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 B-3 Table B–2. Rule Effectiveness Matrix for Title V Facilities A. Most important factors (2 criteria, each assigned weighting of 35% of total): Factor Range Midpoint value 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% < 70% 75% 35% 94% 100% 97% Monitoring Compliance History 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 35% Value Score assigned to (= weight × MCAQD value) 90% 31.50% 8 of 16 facilities 16.98% 8 of 16 facilities 13.13% 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. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 3% 97% 2.91% 3% 97% 2.91% B-4 Table B–2. Rule Effectiveness Matrix for Title V Facilities (continued) Factor Unannounced Inspections Midpoint Range value Description 94% 100% 97% Routinely conducted. 87% 93% 90% Sometimes done. 81% 86% 84% Done, but infrequently. 70% 80% 75% Rarely done. < 70% 35% Never done. 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Enforcement Penalties 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. Weight 3% 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. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 B-5 Table B–2. Rule Effectiveness Matrix for Title V Facilities (continued) Factor EPA HPV Enforcement Operator Training Media Publicity 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 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. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Weight Value Score assigned to (= weight × MCAQD value) 2% 97% 1.94% 2% 84% 1.68% 2% 97% 1.94% 2% 97% 1.94% B-6 Table B–2. Rule Effectiveness Matrix for Title V Facilities (continued) Factor Inspector Training Testing Guidelines Follow-up Inspections Midpoint value Range 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% 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 source-specific 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 to 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) Weight Value Score assigned to (= weight × MCAQD value) 2% 97% 1.94% 2% 97% 1.94% 2% 97% 1.94% Overall rule effectiveness score for Title V facilities: 90.44% 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 B-7 Table B–3. Rule Effectiveness Matrix for Non-Title V Facilities A. Most important factors (2 criteria, each assigned weighting of 35% of total): Factor 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% Monitoring Compliance History 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% 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. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 3% 97% 2.91% 3% 97% 2.91% B-8 Table B–3. Rule Effectiveness Matrix for Non-Title V Facilities (continued) Factor Unannounced Inspections Midpoint Range value Description 94% 100% 97% Routinely conducted. 87% 93% 90% Sometimes done. 81% 86% 84% Done, but infrequently. 70% 80% 75% Rarely done. < 70% 35% Never done. 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Enforcement Penalties 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. Weight 3% 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. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 B-9 Table B–3. Rule Effectiveness Matrix for Non-Title V Facilities (continued) Factor EPA HPV Enforcement Operator Training Media Publicity Range Midpt. 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 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. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Weight Value Score assigned to (= weight MCAQD × value) 2% 97% 1.94% 2% 84% 1.68% 2% 97% 1.94% 2% 97% 1.94% B-10 Table B–3. Rule Effectiveness Matrix for Non-Title V Facilities (continued) Factor Inspector Training Midpt. 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% Value assigned to MCAQD Score(= weight × value) 97% 1.94% 2% 97% 1.94% 2% 97% 1.94% Description Weight Inspectors must undergo 2 weeks of comprehensive basic training, and 1–2 weeks of sourcespecific training, and such training is updated each year. 2% 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 to 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: 89.00% 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 B-11 Appendix C. MOVES2014a Local Input Data and RunSpecs MOVES2014b Local Input Data and RunSpecs In order to calculate the 2017 annual and ozone season-day onroad source emissions, MOVES2014b was executed using local input data for each month of the year and each geographical area (the 8-hour ozone nonattainment area and Maricopa County). A portion of the MOVES2014b RunSpec Summary, RunSpec, and local input data for Maricopa County are provided in this appendix as an example. 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 C-1 MOVES2014b RunSpec Summary (Maricopa County) * Output Database Server Name: [using default] * Scale: Domain/Scale: County Calculation Type: Inventory * Time Spans: Time Aggregation Level: Hour Years: 2017 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: c04013y2017_20180424 * 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 * Road Type Off-Network Rural Restricted Access Rural Unrestricted Access Urban Restricted Access Urban Unrestricted Access * Pollutants and Processes 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 Carbon Monoxide (CO) - Running Exhaust Carbon Monoxide (CO) - Start Exhaust Carbon Monoxide (CO) - Crankcase Running Exhaust Carbon Monoxide (CO) - Crankcase Start Exhaust Carbon Monoxide (CO) - Crankcase Extended Idle Exhaust Carbon Monoxide (CO) - Extended Idle Exhaust Carbon Monoxide (CO) - 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 Methane (CH4) - Running Exhaust Methane (CH4) - Start Exhaust Methane (CH4) - Crankcase Running Exhaust Methane (CH4) - Crankcase Start Exhaust Methane (CH4) - Crankcase Extended Idle Exhaust Methane (CH4) - Extended Idle Exhaust Methane (CH4) - Auxiliary Power Exhaust Non-Methane Hydrocarbons - Running Exhaust Non-Methane Hydrocarbons - Start Exhaust Non-Methane Hydrocarbons - Evap Permeation Non-Methane Hydrocarbons - Evap Fuel Vapor Venting Non-Methane Hydrocarbons - Evap Fuel Leaks Non-Methane Hydrocarbons - Crankcase Running Exhaust Non-Methane Hydrocarbons - Crankcase Start Exhaust Non-Methane Hydrocarbons - Crankcase Extended Idle Exhaust Non-Methane Hydrocarbons - Refueling Displacement Vapor Loss Non-Methane Hydrocarbons - Refueling Spillage Loss Non-Methane Hydrocarbons - Extended Idle Exhaust Non-Methane Hydrocarbons - Auxiliary Power Exhaust Non-Methane Organic Gases - Running Exhaust Non-Methane Organic Gases - Start Exhaust Non-Methane Organic Gases - Evap Permeation Non-Methane Organic Gases - Evap Fuel Vapor Venting Non-Methane Organic Gases - Evap Fuel Leaks Non-Methane Organic Gases - Crankcase Running Exhaust Non-Methane Organic Gases - Crankcase Start Exhaust Non-Methane Organic Gases - Crankcase Extended Idle Exhaust Non-Methane Organic Gases - Refueling Displacement Vapor Loss Non-Methane Organic Gases - Refueling Spillage Loss Non-Methane Organic Gases - Extended Idle Exhaust Non-Methane Organic Gases - Auxiliary Power Exhaust Total Organic Gases - Running Exhaust Total Organic Gases - Start Exhaust Total Organic Gases - Evap Permeation Total Organic Gases - Evap Fuel Vapor Venting Total Organic Gases - Evap Fuel Leaks Total Organic Gases - Crankcase Running Exhaust Total Organic Gases - Crankcase Start Exhaust Total Organic Gases - Crankcase Extended Idle Exhaust Total Organic Gases - Refueling Displacement Vapor Loss Total Organic Gases - Refueling Spillage Loss Total Organic Gases - Extended Idle Exhaust Total Organic Gases - Auxiliary Power Exhaust Volatile Organic Compounds - Running Exhaust Volatile Organic Compounds - Start Exhaust Volatile Organic Compounds - Evap Permeation Volatile Organic Compounds - Evap Fuel Vapor Venting Volatile Organic Compounds - Evap Fuel Leaks Volatile Organic Compounds - Crankcase Running Exhaust Volatile Organic Compounds - Crankcase Start Exhaust Volatile Organic Compounds - Crankcase Extended Idle Exhaust Volatile Organic Compounds - Refueling Displacement Vapor Loss Volatile Organic Compounds - Refueling Spillage Loss Volatile Organic Compounds - Extended Idle Exhaust Volatile Organic Compounds - Auxiliary Power Exhaust 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 C-2 * Output General Output: Output Database: c04013y2017_20180424_out Units: Mass Units (Grams) Energy Units (Joules) Distance Units (Miles) Activity: Distance Traveled Source Hours Hotelling Hours 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/Off Road: On Road/Off Road Road Type Source Use Type SCC 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 C-3 MOVES2014b RunSpec (Maricopa County) 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 C-4 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 C-5 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 C-6 MOVES2014b Local Input Data (Maricopa County) [HPMSvTypeYear] HPMSVtypeID 10 25 40 50 60 yearID 2017 2017 2017 2017 2017 HPMSBaseYearVMT 194,156,930 32,154,500,908 86,775,403 1,275,034,707 1,059,783,258 [SourceTypeYear] yearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 sourceTypeID 11 21 31 32 41 42 43 51 52 53 54 61 62 [CountyYear] countyID 4013 yearID 2017 sourceTypePopulation 101,931 2,447,392 510,638 128,977 251 893 8,396 1,116 39,150 1,659 10,286 6,690 7,488 refuelingVaporProgramAdjust 0.5 refuelingSpillProgramAdjust 0.000 [FuelFormulation] Fuel Fuel Formulation Subtype ID ID 10 10 20 20 30 30 50 51 90 90 96 10 97 10 98 10 99 10 3577 12 3578 12 3579 12 25005 21 27001 51 27002 51 28001 30 RVP 6.9 0 0 7.7 0 8.7 6.6 6.9 6.9 6.73 8.56 8.05 0 10.5 7.7 0 [FuelUsageFraction] countyID 4013 4013 4013 4013 4013 4013 fuelYearID 2017 2017 2017 2017 2017 2017 Sulfur Level 30 11 7.6 11 0 338 150 30 90 17.07 12.48 13.7 5.67 8 8 7.6 ETOH Volume 0 0 0 85 0 0 0 0 0 10.41 10.22 10.43 0 74 74 0 modelYearGroupID 0 0 0 0 0 0 MTBE Volume 0 0 0 0 0 0 11.7581 0 0 0 0 0 0 0 0 0 ETBE Volume 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 TAME Aromatic Volume Content 0 26.1 0 0 0 0 0 0 0 0 0 26.4 0 24 0 26.1 0 26.1 0 21.862 0 21.8745 0 21.7833 0 0 0 0 0 0 0 0 sourceBinFuelTypeID Olefin Content 5.6 0 0 0 0 11.9 11 5.6 5.6 4.66603 4.55423 4.56239 0 0 0 0 Benzene Content 1 0 0 0 0 1.64 0.8 1 1 0.53 0.53 0.53 0 0 0 0 fuelSupplyFuelTypeID 1 2 3 5 5 9 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 e200 41.09 0 0 49.9 0 50 52 41.09 41.09 44.9124 46.8717 46.5506 0 49.9 49.9 0 e300 83.09 0 0 89.5 0 83 84 83.09 83.09 88.8208 89.6605 89.4528 0 89.5 89.5 0 BioDiesel Cetane PAH Ester 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 2.62 0 0 0 0 0 0 0 0 0 0 0 T50 218 0 0 200 0 199.816 195.735 218 218 210.199 206.201 206.856 0 200 200 0 T90 329 0 0 300 0 329.40 324.86 329 329 302.95 299.13 300.07 0 300 300 0 usageFraction 1 2 3 1 5 9 1 1 1 0.947025 0.052975 1 C-7 [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 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 monthGroupID 1 2 3 4 5 6 7 8 9 10 11 12 5 6 7 8 9 1 2 3 11 12 4 10 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 11 12 4 5 6 7 8 9 10 1 2 3 4 5 6 7 8 9 10 11 12 fuelFormulationID 90 90 90 90 90 90 90 90 90 90 90 90 3577 3577 3577 3577 3577 3578 3578 3578 3578 3578 3579 3579 25005 25005 25005 25005 25005 25005 25005 25005 25005 25005 25005 25005 27001 27001 27001 27001 27001 27002 27002 27002 27002 27002 27002 27002 28001 28001 28001 28001 28001 28001 28001 28001 28001 28001 28001 28001 marketShare 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 marketShareCV 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 C-8 [ZoneMonthHour] monthID zoneID HourID temperature 1 40130 1 52 1 40130 2 51 1 40130 3 50 1 40130 4 49 1 40130 5 49 1 40130 6 48 1 40130 7 48 1 40130 8 48 1 40130 9 51 1 40130 10 54 1 40130 11 56 1 40130 12 59 1 40130 13 61 1 40130 14 62 1 40130 15 63 1 40130 16 63 1 40130 17 62 1 40130 18 61 1 40130 19 59 1 40130 20 57 1 40130 21 56 1 40130 22 54 1 40130 23 53 1 40130 24 52 2 40130 1 58 2 40130 2 57 2 40130 3 56 2 40130 4 55 2 40130 5 54 2 40130 6 54 2 40130 7 53 2 40130 8 54 2 40130 9 57 2 40130 10 61 2 40130 11 63 2 40130 12 66 2 40130 13 68 2 40130 14 70 2 40130 15 70 2 40130 16 71 2 40130 17 70 2 40130 18 69 2 40130 19 67 2 40130 20 64 2 40130 21 63 2 40130 22 61 2 40130 23 60 2 40130 24 59 3 40130 1 65 3 40130 2 64 3 40130 3 61 3 40130 4 61 3 40130 5 60 3 40130 6 59 3 40130 7 59 3 40130 8 61 3 40130 9 65 3 40130 10 70 3 40130 11 73 3 40130 12 76 3 40130 13 79 3 40130 14 81 3 40130 15 82 3 40130 16 83 3 40130 17 82 3 40130 18 81 3 40130 19 79 3 40130 20 77 3 40130 21 73 3 40130 22 72 3 40130 23 70 3 40130 24 67 4 40130 1 71 4 40130 2 69 4 40130 3 67 4 40130 4 66 4 40130 5 64 4 40130 6 63 relHumidity 66 68 68 71 72 72 73 72 64 57 51 46 43 41 41 40 41 45 48 53 57 60 61 63 57 59 61 62 63 64 65 65 57 50 45 40 37 34 33 32 32 35 37 44 48 51 54 57 40 42 46 48 48 48 50 45 37 30 25 22 20 18 17 16 16 16 18 23 27 28 30 35 22 23 25 27 29 31 monthID zoneID HourID temperature 4 40130 7 64 4 40130 8 68 4 40130 9 71 4 40130 10 75 4 40130 11 79 4 40130 12 81 4 40130 13 83 4 40130 14 85 4 40130 15 86 4 40130 16 87 4 40130 17 87 4 40130 18 86 4 40130 19 84 4 40130 20 82 4 40130 21 79 4 40130 22 76 4 40130 23 75 4 40130 24 73 5 40130 1 77 5 40130 2 75 5 40130 3 74 5 40130 4 72 5 40130 5 71 5 40130 6 70 5 40130 7 72 5 40130 8 76 5 40130 9 79 5 40130 10 82 5 40130 11 85 5 40130 12 88 5 40130 13 90 5 40130 14 91 5 40130 15 93 5 40130 16 93 5 40130 17 92 5 40130 18 91 5 40130 19 90 5 40130 20 88 5 40130 21 85 5 40130 22 83 5 40130 23 82 5 40130 24 80 6 40130 1 90 6 40130 2 88 6 40130 3 86 6 40130 4 85 6 40130 5 83 6 40130 6 82 6 40130 7 84 6 40130 8 87 6 40130 9 91 6 40130 10 94 6 40130 11 97 6 40130 12 100 6 40130 13 102 6 40130 14 104 6 40130 15 106 6 40130 16 107 6 40130 17 107 6 40130 18 106 6 40130 19 105 6 40130 20 102 6 40130 21 99 6 40130 22 96 6 40130 23 95 6 40130 24 93 7 40130 1 90 7 40130 2 89 7 40130 3 88 7 40130 4 87 7 40130 5 86 7 40130 6 86 7 40130 7 87 7 40130 8 89 7 40130 9 91 7 40130 10 93 7 40130 11 96 7 40130 12 99 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 relHumidity 30 26 23 19 17 14 12 11 10 10 10 10 10 12 14 16 17 19 23 25 27 28 30 30 27 24 21 19 17 15 13 12 11 11 11 12 13 14 16 17 18 20 16 18 18 20 22 23 22 20 17 15 13 11 10 9 8 8 7 8 8 8 10 12 12 15 41 42 43 44 46 47 46 44 41 37 33 29 monthID zoneID HourID temperature 7 40130 13 101 7 40130 14 102 7 40130 15 104 7 40130 16 104 7 40130 17 104 7 40130 18 103 7 40130 19 101 7 40130 20 99 7 40130 21 97 7 40130 22 95 7 40130 23 93 7 40130 24 92 8 40130 1 90 8 40130 2 89 8 40130 3 88 8 40130 4 86 8 40130 5 85 8 40130 6 85 8 40130 7 85 8 40130 8 88 8 40130 9 91 8 40130 10 93 8 40130 11 96 8 40130 12 99 8 40130 13 101 8 40130 14 102 8 40130 15 104 8 40130 16 104 8 40130 17 103 8 40130 18 102 8 40130 19 100 8 40130 20 99 8 40130 21 97 8 40130 22 95 8 40130 23 92 8 40130 24 92 9 40130 1 83 9 40130 2 82 9 40130 3 81 9 40130 4 79 9 40130 5 78 9 40130 6 77 9 40130 7 78 9 40130 8 80 9 40130 9 84 9 40130 10 87 9 40130 11 90 9 40130 12 93 9 40130 13 95 9 40130 14 97 9 40130 15 97 9 40130 16 98 9 40130 17 97 9 40130 18 96 9 40130 19 94 9 40130 20 92 9 40130 21 89 9 40130 22 88 9 40130 23 86 9 40130 24 84 10 40130 1 75 10 40130 2 73 10 40130 3 72 10 40130 4 70 10 40130 5 70 10 40130 6 69 10 40130 7 68 10 40130 8 72 10 40130 9 76 10 40130 10 81 10 40130 11 84 10 40130 12 87 10 40130 13 90 10 40130 14 91 10 40130 15 92 10 40130 16 92 10 40130 17 92 10 40130 18 90 relHumidity 27 25 24 23 22 24 25 29 30 33 37 40 33 36 38 40 41 42 41 38 34 31 28 25 22 20 18 18 18 20 21 23 25 28 31 32 28 30 32 35 37 38 38 36 33 29 26 23 21 19 17 17 17 18 19 20 22 23 25 26 26 28 28 30 31 32 32 29 25 20 18 16 15 13 13 13 13 14 C-9 monthID zoneID HourID temperature 10 40130 19 87 10 40130 20 84 10 40130 21 82 10 40130 22 80 10 40130 23 78 10 40130 24 76 11 40130 1 65 11 40130 2 64 11 40130 3 63 11 40130 4 62 11 40130 5 61 11 40130 6 61 11 40130 7 60 11 40130 8 62 11 40130 9 66 11 40130 10 70 11 40130 11 74 11 40130 12 77 relHumidity 16 18 20 22 24 27 42 43 44 45 46 45 47 44 37 33 28 26 monthID zoneID HourID temperature 11 40130 13 79 11 40130 14 81 11 40130 15 82 11 40130 16 82 11 40130 17 81 11 40130 18 78 11 40130 19 75 11 40130 20 74 11 40130 21 72 11 40130 22 70 11 40130 23 68 11 40130 24 67 12 40130 1 54 12 40130 2 53 12 40130 3 52 12 40130 4 51 12 40130 5 50 12 40130 6 50 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 relHumidity 24 22 21 21 21 24 27 29 32 35 38 40 41 43 43 46 46 47 monthID zoneID HourID temperature 12 40130 7 50 12 40130 8 49 12 40130 9 53 12 40130 10 57 12 40130 11 61 12 40130 12 65 12 40130 13 67 12 40130 14 69 12 40130 15 70 12 40130 16 70 12 40130 17 69 12 40130 18 66 12 40130 19 64 12 40130 20 61 12 40130 21 59 12 40130 22 58 12 40130 23 56 12 40130 24 55 relHumidity 46 47 41 33 28 24 21 19 18 18 19 21 24 29 31 35 38 40 C-10 [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 YearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 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 AgeFraction 0.024416 0.053866 0.065539 0.062005 0.054616 0.047226 0.032234 0.024952 0.052795 0.054401 0.072821 0.070893 0.060291 0.043371 0.051403 0.041765 0.034804 0.029664 0.024952 0.017670 0.014136 0.013065 0.010602 0.008460 0.008139 0.005890 0.004498 0.004069 0.003962 0.003748 0.003748 0.043300 0.071600 0.077400 0.069900 0.068600 0.056200 0.045900 0.040500 0.032800 0.049400 0.057600 0.054600 0.050900 0.044500 0.039200 0.034000 0.029100 0.025900 0.020300 0.015000 0.012400 0.008500 0.007600 0.005500 0.004100 0.003200 0.002900 0.002300 0.002000 0.001600 0.023200 0.035158 0.062192 0.055434 0.056503 0.048126 0.038142 0.035713 0.024063 0.019443 0.046363 0.059500 0.062020 0.053038 0.054190 0.044888 Source TypeID 31 31 31 31 31 31 31 31 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 YearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 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 AgeFraction 0.040283 0.043877 0.037444 0.028221 0.021563 0.021812 0.015086 0.014732 0.012193 0.008158 0.005702 0.004727 0.004281 0.004462 0.003285 0.039401 0.040066 0.064156 0.056935 0.056635 0.049370 0.040652 0.036535 0.023959 0.020252 0.047249 0.063102 0.063436 0.053418 0.051482 0.042465 0.037822 0.041487 0.036690 0.027156 0.020501 0.020659 0.014414 0.014056 0.011531 0.007767 0.005420 0.004532 0.004117 0.004238 0.003134 0.036763 0.065200 0.089500 0.078900 0.056200 0.051800 0.049500 0.030400 0.015500 0.021100 0.037800 0.083200 0.081100 0.056100 0.038000 0.028000 0.021200 0.030100 0.034100 0.030800 0.017300 0.016600 0.015200 0.013500 0.008500 0.006000 0.004200 0.003200 0.004400 0.003200 0.002200 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Source TypeID 41 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 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 YearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 AgeID 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 AgeFraction 0.007200 0.080627 0.049272 0.095185 0.109742 0.123180 0.041433 0.043673 0.010078 0.036954 0.083987 0.172452 0.060470 0.003359 0.034714 0.024636 0.000000 0.030235 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.091712 0.083511 0.071610 0.056508 0.061108 0.066809 0.044706 0.022803 0.028804 0.056408 0.101714 0.079111 0.058108 0.023603 0.017602 0.012602 0.016902 0.029204 0.016302 0.009601 0.008801 0.007501 0.006802 0.004550 0.003298 0.002360 0.002356 0.002387 0.001907 0.001627 0.009684 0.091701 0.083501 0.071601 0.056500 0.061100 0.066800 0.044700 0.022800 0.028800 0.056400 0.101701 0.079101 0.058100 0.023600 C-11 Source TypeID 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 52 52 52 52 52 52 52 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 YearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 AgeID 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 AgeFraction 0.017600 0.012600 0.016900 0.029200 0.016300 0.009600 0.008800 0.007500 0.006900 0.004600 0.003400 0.002399 0.002400 0.002399 0.001899 0.001599 0.009497 0.075902 0.077979 0.067451 0.057001 0.057925 0.058872 0.042343 0.023165 0.026167 0.053632 0.089651 0.074040 0.056426 0.031902 0.024974 0.020074 0.024214 0.031331 0.019495 0.012833 0.012325 0.009555 0.009115 0.006738 0.004834 0.003357 0.003105 0.002947 0.002629 0.002082 0.017936 0.090747 0.083523 0.071648 0.056944 0.061293 0.066373 0.044669 0.022803 0.028607 0.056219 Source TypeID 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 53 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 YearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 AgeID 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 AgeFraction 0.100683 0.078455 0.057687 0.023775 0.017728 0.012730 0.017052 0.029110 0.016319 0.009654 0.008869 0.007538 0.007412 0.004958 0.003962 0.002656 0.002685 0.002534 0.001967 0.001593 0.009806 0.091779 0.083572 0.071662 0.056549 0.061153 0.066858 0.044738 0.022820 0.028825 0.056449 0.101788 0.079168 0.058150 0.023620 0.017615 0.012611 0.016915 0.029225 0.016314 0.009608 0.008808 0.007506 0.006554 0.004374 0.003038 0.002238 0.002240 0.002340 0.001882 0.001651 0.009954 0.091783 0.083575 0.071664 0.056551 0.061155 0.066860 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Source TypeID 61 61 61 61 61 61 61 61 61 61 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 YearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 AgeID 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 AgeFraction 0.044740 0.022821 0.028826 0.056451 0.101792 0.079171 0.058152 0.023621 0.017616 0.012611 0.016915 0.029226 0.016315 0.009609 0.008808 0.007507 0.006866 0.004472 0.003355 0.002337 0.002374 0.002362 0.001809 0.001510 0.009148 0.091735 0.083532 0.071627 0.056522 0.061123 0.066826 0.044717 0.022809 0.028811 0.056422 0.101739 0.079130 0.058122 0.023609 0.017607 0.012605 0.016906 0.029211 0.016306 0.009604 0.008803 0.007503 0.006886 0.004550 0.003382 0.002374 0.002388 0.002383 0.001864 0.001563 0.009340 C-12 [IMCoverage] polProcess ID 101 101 101 101 101 101 101 101 101 101 102 102 102 102 102 102 102 102 102 102 112 112 112 112 112 112 112 201 201 201 201 201 201 201 201 201 201 202 202 202 202 202 202 202 202 202 202 301 301 301 301 301 301 301 301 301 301 302 302 302 302 302 302 302 302 302 302 101 101 101 101 101 101 101 101 101 101 102 102 102 102 102 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 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 yearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 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 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 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 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 IMProgramID 103 106 110 103 106 110 103 106 110 103 103 106 110 103 106 110 103 106 110 103 108 109 108 109 108 109 107 103 106 110 103 106 110 103 106 110 103 103 106 110 103 106 110 103 106 110 103 103 106 110 103 106 110 103 106 110 103 103 106 110 103 106 110 103 106 110 103 303 306 310 303 306 310 303 306 310 303 303 306 310 303 306 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 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 End ModelYearID 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 2013 1995 2013 1995 2013 1995 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 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 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 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 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 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 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 C-13 polProcess ID 102 102 102 102 102 112 112 112 112 112 112 112 201 201 201 201 201 201 201 201 201 201 202 202 202 202 202 202 202 202 202 202 301 301 301 301 301 301 301 301 301 301 302 302 302 302 302 302 302 302 302 302 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 102 102 102 102 102 102 102 102 102 102 102 102 102 102 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 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 yearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 sourceTypeID 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 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 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 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 IMProgramID 310 303 306 310 303 308 309 308 309 308 309 307 303 306 310 303 306 310 303 306 310 303 303 306 310 303 306 310 303 306 310 303 303 306 310 303 306 310 303 306 310 303 303 306 310 303 306 310 303 306 310 303 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 Beg ModelYearID 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 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 End ModelYearID 2013 1980 1995 2013 2013 2013 1995 2013 1995 2013 1995 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 inspectFreq 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 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 Test StandardsID useIMyn 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 13 N 31 N 51 N 13 N 31 N 51 N 13 N 31 N 51 N 13 N 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 13 Y 13 Y 13 Y 13 Y Compliance Factor 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 57.6164 64.12 90.0428 57.6164 64.12 90.0428 57.6164 64.12 90.0428 87.2032 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 C-14 polProcess ID 102 102 102 102 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 202 202 202 202 202 202 202 202 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 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 yearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 sourceTypeID 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 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 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 IMProgramID 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 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 Beg ModelYearID 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 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 End ModelYearID 1980 1980 1980 1980 2013 1995 1980 2013 1995 1980 2013 1995 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1995 1980 2013 1995 1980 2013 1995 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1995 2013 1980 1995 2013 1980 1995 inspectFreq 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 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 Test StandardsID useIMyn 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 41 Y 41 Y 41 Y 41 Y 41 Y 41 Y 41 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y Compliance Factor 57.207864 57.207864 57.207864 57.207864 89.3395868 63.6192228 86.7668176 83.9791548 59.8020676 86.7668176 78.6188144 55.9849124 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 89.3395868 63.6192228 86.7668176 83.9791548 59.8020676 86.7668176 78.6188144 55.9849124 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 C-15 polProcess ID 202 202 202 202 202 202 202 202 202 202 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 302 302 302 302 302 302 302 302 302 302 302 302 302 302 302 302 302 302 101 101 101 101 101 101 101 101 101 102 102 102 102 102 102 102 102 102 201 201 201 201 201 201 201 201 201 202 202 202 202 202 202 202 202 202 301 301 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 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 yearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 sourceTypeID 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 53 54 61 62 41 42 43 51 52 53 54 61 62 41 42 43 51 52 53 54 61 62 41 42 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 IMProgramID 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 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 Beg ModelYearID 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 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 End ModelYearID 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 inspectFreq 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 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 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 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 Compliance Factor 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 C-16 polProcess ID 301 301 301 301 301 301 301 302 302 302 302 302 302 302 302 302 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 113 113 113 113 113 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 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 yearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 sourceTypeID 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 52 52 53 53 54 54 61 61 62 62 21 21 21 31 31 fuelTypeID 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 5 5 5 5 5 5 5 5 5 5 5 IMProgramID 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 503 506 510 503 506 510 503 506 510 503 503 503 503 503 503 503 503 503 503 506 510 503 506 510 503 506 510 503 503 503 503 503 503 503 503 503 508 509 511 508 509 511 508 509 511 507 511 507 511 507 511 507 511 507 511 507 511 507 511 507 511 507 511 508 509 511 508 509 Beg ModelYearID 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 1981 1967 1981 1967 1981 1967 1981 1967 1981 1967 1996 1981 1967 1996 1981 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 End ModelYearID 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 2013 1995 1980 2013 1995 1980 2013 1995 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1995 1980 2013 1995 inspectFreq 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 1 1 1 1 1 1 1 1 1 1 2 2 1 2 2 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 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 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 Compliance Factor 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 89.3395868 63.6192228 86.7668176 83.9791548 59.8020676 86.7668176 78.6188144 55.9849124 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 89.3395868 63.6192228 86.7668176 83.9791548 59.8020676 C-17 polProcess ID 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 113 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 201 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 302 302 302 302 302 302 302 302 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 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 yearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 sourceTypeID 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 21 31 31 31 32 32 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 IMProgramID 511 508 509 511 507 511 507 511 507 511 507 511 507 511 507 511 507 511 507 511 507 511 503 506 510 503 506 510 503 506 510 503 503 503 503 503 503 503 503 503 503 506 510 503 506 510 503 506 510 503 503 503 503 503 503 503 503 503 503 506 510 503 506 510 503 506 510 503 503 503 503 503 503 503 503 503 503 506 510 503 506 510 503 506 Beg ModelYearID 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 1996 1967 1981 1996 1967 1981 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 End ModelYearID 1980 2013 1995 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 2013 1980 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1995 2013 1980 1995 2013 1980 1995 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1995 2013 1980 1995 2013 1980 1995 inspectFreq 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 2 1 2 2 1 2 Test StandardsID useIMyn 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 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 13 Y 33 Y 51 Y 13 Y 33 Y 51 Y 13 Y 33 Y Compliance Factor 86.7668176 78.6188144 55.9849124 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 85.6132988 86.7668176 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 63.6192228 83.1594264 57.207864 63.6192228 78.1698828 57.207864 63.6192228 C-18 polProcess ID 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 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 yearID 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 2017 sourceTypeID 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 IMProgramID 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 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 End ModelYearID 2013 1980 1980 1980 1980 1980 1980 1980 1980 1980 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 2013 inspectFreq 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 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 Compliance Factor 73.1802476 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 57.207864 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 86.522154 C-19 [RoadType] roadTypeID 2 4 rampFraction 0.048474983 0.132656588 [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 0.01553 0.07407 0.31380 0.59660 0.00000 0.01535 0.05868 0.38280 0.54317 0.00000 0.01535 0.05868 0.38280 0.54317 0.00000 0.01535 0.05868 0.38280 0.54317 0.00000 0.12898 0.06703 0.46862 0.33537 0.00000 0.12898 0.06703 0.46862 0.33537 0.00000 0.12898 0.06703 0.46862 0.33537 0.00000 0.03917 0.05784 0.54790 0.35509 0.00000 0.03917 0.05784 0.54790 0.35509 0.00000 0.03917 0.05784 0.54790 0.35509 0.00000 0.03917 0.05784 0.54790 0.35509 0.00000 0.21741 0.06175 0.51666 0.20418 0.00000 0.21741 0.06175 0.51666 0.20418 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 C-20 [MonthVMTFraction] sourceTypeID 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 monthID 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 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 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 monthVMTFraction 0.084746 0.084746 0.084746 0.084746 0.084746 0.084746 0.084746 0.084746 0.084746 0.084746 0.084746 0.084746 0.084746 0.079142 0.079142 0.079142 0.079142 0.079142 0.079142 0.079142 0.079142 0.079142 0.079142 0.079142 0.079142 0.079142 0.087837 0.087837 0.087837 0.087837 0.087837 0.087837 0.087837 0.087837 0.087837 0.087837 0.087837 0.087837 0.087837 0.084785 0.084785 0.084785 0.084785 0.084785 0.084785 0.084785 0.084785 0.084785 0.084785 0.084785 0.084785 0.084785 0.085945 0.085945 0.085945 0.085945 0.085945 0.085945 0.085945 0.085945 0.085945 0.085945 0.085945 0.085945 0.085945 0.081088 0.081088 0.081088 0.081088 0.081088 0.081088 0.081088 0.081088 0.081088 0.081088 0.081088 0.081088 0.081088 sourceTypeID 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 11 21 31 32 41 42 43 51 52 53 54 61 62 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 monthID 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 9 9 9 9 9 9 9 9 9 9 9 9 9 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 12 12 12 12 12 12 12 12 12 12 12 12 12 monthVMTFraction 0.079795 0.079795 0.079795 0.079795 0.079795 0.079795 0.079795 0.079795 0.079795 0.079795 0.079795 0.079795 0.079795 0.082268 0.082268 0.082268 0.082268 0.082268 0.082268 0.082268 0.082268 0.082268 0.082268 0.082268 0.082268 0.082268 0.081392 0.081392 0.081392 0.081392 0.081392 0.081392 0.081392 0.081392 0.081392 0.081392 0.081392 0.081392 0.081392 0.085131 0.085131 0.085131 0.085131 0.085131 0.085131 0.085131 0.085131 0.085131 0.085131 0.085131 0.085131 0.085131 0.082995 0.082995 0.082995 0.082995 0.082995 0.082995 0.082995 0.082995 0.082995 0.082995 0.082995 0.082995 0.082995 0.084877 0.084877 0.084877 0.084877 0.084877 0.084877 0.084877 0.084877 0.084877 0.084877 0.084877 0.084877 0.084877 C-21 [DayVMTFraction] (July 2017) Source Month TypeID ID 11 7 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 11 7 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 11 7 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 11 7 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 11 7 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 11 7 Road TypeID dayID 1 5 1 5 1 5 1 5 1 5 1 5 1 5 1 5 1 5 1 5 1 5 1 5 1 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 3 5 3 5 3 5 3 5 3 5 3 5 3 5 3 5 3 5 3 5 3 5 3 5 3 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5 4 5 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 5 5 5 1 2 Day VMTFraction 0.780527 0.780527 0.780527 0.780527 0.780527 0.780527 0.780527 0.780527 0.780527 0.780527 0.780527 0.780527 0.780527 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.783228 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.778523 0.219473 Source Month TypeID ID 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 11 7 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 11 7 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 11 7 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 11 7 21 7 31 7 32 7 41 7 42 7 43 7 51 7 52 7 53 7 54 7 61 7 62 7 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Road TypeID dayID 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 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 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 3 2 4 2 4 2 4 2 4 2 4 2 4 2 4 2 4 2 4 2 4 2 4 2 4 2 4 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 5 2 Day VMTFraction 0.219473 0.219473 0.219473 0.219473 0.219473 0.219473 0.219473 0.219473 0.219473 0.219473 0.219473 0.219473 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.216772 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 0.221477 C-22 [HourVMTFraction] (SourceTypeID 21: Passenger Car) Source TypeID 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 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 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 Road TypeID dayID hourID 1 5 1 1 5 2 1 5 3 1 5 4 1 5 5 1 5 6 1 5 7 1 5 8 1 5 9 1 5 10 1 5 11 1 5 12 1 5 13 1 5 14 1 5 15 1 5 16 1 5 17 1 5 18 1 5 19 1 5 20 1 5 21 1 5 22 1 5 23 1 5 24 2 5 1 2 5 2 2 5 3 2 5 4 2 5 5 2 5 6 2 5 7 2 5 8 2 5 9 2 5 10 2 5 11 2 5 12 2 5 13 2 5 14 2 5 15 2 5 16 2 5 17 2 5 18 2 5 19 2 5 20 2 5 21 2 5 22 2 5 23 2 5 24 3 5 1 3 5 2 3 5 3 3 5 4 3 5 5 3 5 6 3 5 7 3 5 8 3 5 9 3 5 10 3 5 11 3 5 12 3 5 13 3 5 14 3 5 15 3 5 16 3 5 17 3 5 18 3 5 19 3 5 20 3 5 21 3 5 22 3 5 23 3 5 24 4 5 1 4 5 2 4 5 3 4 5 4 4 5 5 4 5 6 4 5 7 4 5 8 hourVMT Fraction 0.007634 0.005215 0.004896 0.006994 0.019983 0.035384 0.052788 0.066238 0.060727 0.051529 0.050067 0.053712 0.056889 0.059262 0.063777 0.068091 0.070577 0.071309 0.058079 0.041175 0.033501 0.028521 0.020484 0.013169 0.009714 0.006908 0.006883 0.010955 0.033927 0.048421 0.057932 0.061169 0.057327 0.053128 0.050390 0.052030 0.054821 0.060928 0.063510 0.061499 0.059918 0.058100 0.050322 0.038704 0.033058 0.029950 0.023936 0.016469 0.006081 0.003952 0.003413 0.004039 0.009578 0.025656 0.048950 0.070020 0.063264 0.050335 0.049826 0.054967 0.058433 0.058019 0.063976 0.073011 0.078530 0.081166 0.063868 0.043018 0.033831 0.027454 0.017909 0.010705 0.009714 0.006908 0.006883 0.010955 0.033927 0.048421 0.057932 0.061169 Source TypeID 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 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 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 Road TypeID dayID hourID 4 5 9 4 5 10 4 5 11 4 5 12 4 5 13 4 5 14 4 5 15 4 5 16 4 5 17 4 5 18 4 5 19 4 5 20 4 5 21 4 5 22 4 5 23 4 5 24 5 5 1 5 5 2 5 5 3 5 5 4 5 5 5 5 5 6 5 5 7 5 5 8 5 5 9 5 5 10 5 5 11 5 5 12 5 5 13 5 5 14 5 5 15 5 5 16 5 5 17 5 5 18 5 5 19 5 5 20 5 5 21 5 5 22 5 5 23 5 5 24 1 2 1 1 2 2 1 2 3 1 2 4 1 2 5 1 2 6 1 2 7 1 2 8 1 2 9 1 2 10 1 2 11 1 2 12 1 2 13 1 2 14 1 2 15 1 2 16 1 2 17 1 2 18 1 2 19 1 2 20 1 2 21 1 2 22 1 2 23 1 2 24 2 2 1 2 2 2 2 2 3 2 2 4 2 2 5 2 2 6 2 2 7 2 2 8 2 2 9 2 2 10 2 2 11 2 2 12 2 2 13 2 2 14 2 2 15 2 2 16 hourVMT Fraction 0.057327 0.053128 0.050390 0.052030 0.054821 0.060928 0.063510 0.061499 0.059918 0.058100 0.050322 0.038704 0.033058 0.029950 0.023936 0.016469 0.006081 0.003952 0.003413 0.004039 0.009578 0.025656 0.048950 0.070020 0.063264 0.050335 0.049826 0.054967 0.058433 0.058019 0.063976 0.073011 0.078530 0.081166 0.063868 0.043018 0.033831 0.027454 0.017909 0.010705 0.021553 0.015543 0.013842 0.010880 0.013879 0.021227 0.028774 0.035288 0.041332 0.048945 0.055256 0.059308 0.063521 0.064017 0.062895 0.062516 0.062882 0.061531 0.058339 0.050576 0.045160 0.041531 0.035595 0.025611 0.021879 0.016150 0.014371 0.011634 0.015883 0.023085 0.029735 0.035822 0.041262 0.048420 0.054548 0.058679 0.062843 0.063229 0.061805 0.061310 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 Source TypeID 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 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 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 21 Road TypeID dayID hourID 2 2 17 2 2 18 2 2 19 2 2 20 2 2 21 2 2 22 2 2 23 2 2 24 3 2 1 3 2 2 3 2 3 3 2 4 3 2 5 3 2 6 3 2 7 3 2 8 3 2 9 3 2 10 3 2 11 3 2 12 3 2 13 3 2 14 3 2 15 3 2 16 3 2 17 3 2 18 3 2 19 3 2 20 3 2 21 3 2 22 3 2 23 3 2 24 4 2 1 4 2 2 4 2 3 4 2 4 4 2 5 4 2 6 4 2 7 4 2 8 4 2 9 4 2 10 4 2 11 4 2 12 4 2 13 4 2 14 4 2 15 4 2 16 4 2 17 4 2 18 4 2 19 4 2 20 4 2 21 4 2 22 4 2 23 4 2 24 5 2 1 5 2 2 5 2 3 5 2 4 5 2 5 5 2 6 5 2 7 5 2 8 5 2 9 5 2 10 5 2 11 5 2 12 5 2 13 5 2 14 5 2 15 5 2 16 5 2 17 5 2 18 5 2 19 5 2 20 5 2 21 5 2 22 5 2 23 5 2 24 hourVMT Fraction 0.061686 0.059991 0.057141 0.050324 0.046109 0.042308 0.035832 0.025951 0.021315 0.015101 0.013457 0.010331 0.012420 0.019876 0.028075 0.034899 0.041383 0.049326 0.055770 0.059766 0.064014 0.064591 0.063689 0.063394 0.063753 0.062652 0.059210 0.050759 0.044469 0.040966 0.035423 0.025364 0.021879 0.016150 0.014371 0.011634 0.015883 0.023085 0.029735 0.035822 0.041262 0.048420 0.054548 0.058679 0.062843 0.063229 0.061805 0.061310 0.061686 0.059991 0.057141 0.050324 0.046109 0.042308 0.035832 0.025951 0.021315 0.015101 0.013457 0.010331 0.012420 0.019876 0.028075 0.034899 0.041383 0.049326 0.055770 0.059766 0.064014 0.064591 0.063689 0.063394 0.063753 0.062652 0.059210 0.050759 0.044469 0.040966 0.035423 0.025364 C-23 [AvgSpeedDistribution] (SourceTypeID 21: Passenger Car and RoadTypeID 5: Urban Restricted Access) Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 15 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 25 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 35 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 45 55 55 55 55 55 55 55 55 55 55 55 55 55 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 avgSpeed Fraction 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 55 55 55 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 65 75 75 75 75 75 75 75 75 75 75 75 75 75 75 75 75 85 85 85 85 85 85 85 85 85 85 85 85 85 85 85 85 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 95 105 105 105 105 105 105 105 105 105 105 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 avgSpeed Fraction 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.002060 0.020325 0.076327 0.198773 0.309004 0.193188 0.149650 0.047484 0.002036 0.001041 0.000111 0.000000 0.000000 0.000000 0.000000 0.000000 0.002060 0.020325 0.076327 0.198773 0.309004 0.193188 0.149650 0.047484 0.002036 0.001041 0.000111 0.000000 0.000000 0.000000 0.000000 0.000000 0.002060 0.020325 0.076327 0.198773 0.309004 0.193188 0.149650 0.047484 0.002036 0.001041 0.000111 0.000000 0.000000 0.000000 0.000000 0.000000 0.000361 0.006221 0.025317 0.138786 0.265055 0.238469 0.245854 0.075613 0.002226 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 105 105 105 105 105 105 115 115 115 115 115 115 115 115 115 115 115 115 115 115 115 115 125 125 125 125 125 125 125 125 125 125 125 125 125 125 125 125 135 135 135 135 135 135 135 135 135 135 135 135 135 135 135 135 145 145 145 145 145 145 145 145 145 145 145 145 145 145 145 145 155 155 155 155 155 155 155 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 avgSpeed Fraction 0.001767 0.000331 0.000000 0.000000 0.000000 0.000000 0.000000 0.000361 0.006221 0.025317 0.138786 0.265055 0.238469 0.245854 0.075613 0.002226 0.001767 0.000331 0.000000 0.000000 0.000000 0.000000 0.000000 0.000361 0.006221 0.025317 0.138786 0.265055 0.238469 0.245854 0.075613 0.002226 0.001767 0.000331 0.000000 0.000000 0.000000 0.000000 0.000000 0.000361 0.006221 0.025317 0.138786 0.265055 0.238469 0.245854 0.075613 0.002226 0.001767 0.000331 0.000000 0.000000 0.000000 0.000000 0.000000 0.000361 0.006221 0.025317 0.138786 0.265055 0.238469 0.245854 0.075613 0.002226 0.001767 0.000331 0.000000 0.000000 0.000000 0.000000 0.000000 0.004187 0.011052 0.071957 0.198122 0.350335 0.218862 C-24 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 155 155 155 155 155 155 155 155 155 165 165 165 165 165 165 165 165 165 165 165 165 165 165 165 165 175 175 175 175 175 175 175 175 175 175 175 175 175 175 175 175 185 185 185 185 185 185 185 185 185 185 185 185 185 185 185 185 195 195 195 195 195 195 195 195 195 195 195 195 195 195 195 195 205 205 205 205 205 205 avgSpeed BinID 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 0.115341 0.027730 0.001449 0.000812 0.000153 0.000000 0.000000 0.000000 0.000000 0.000000 0.004187 0.011052 0.071957 0.198122 0.350335 0.218862 0.115341 0.027730 0.001449 0.000812 0.000153 0.000000 0.000000 0.000000 0.000000 0.000000 0.004187 0.011052 0.071957 0.198122 0.350335 0.218862 0.115341 0.027730 0.001449 0.000812 0.000153 0.000000 0.000000 0.000000 0.000000 0.000000 0.004187 0.011052 0.071957 0.198122 0.350335 0.218862 0.115341 0.027730 0.001449 0.000812 0.000153 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 205 205 205 205 205 205 205 205 205 205 215 215 215 215 215 215 215 215 215 215 215 215 215 215 215 215 225 225 225 225 225 225 225 225 225 225 225 225 225 225 225 225 235 235 235 235 235 235 235 235 235 235 235 235 235 235 235 235 245 245 245 245 245 245 245 245 245 245 245 245 245 245 245 245 12 12 12 12 12 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 avgSpeed Fraction 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 12 12 12 12 12 12 12 12 12 12 12 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 22 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 32 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 42 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 62 62 62 62 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 avgSpeed Fraction 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 C-25 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 62 62 62 62 62 62 62 62 62 62 62 62 72 72 72 72 72 72 72 72 72 72 72 72 72 72 72 72 82 82 82 82 82 82 82 82 82 82 82 82 82 82 82 82 92 92 92 92 92 92 92 92 92 92 92 92 92 92 92 92 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 112 112 112 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 avgSpeed Fraction 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 112 112 112 112 112 112 112 112 112 112 112 112 112 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 132 132 132 132 132 132 132 132 132 132 132 132 132 132 132 132 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 142 152 152 152 152 152 152 152 152 152 152 152 152 152 152 152 152 162 162 avgSpeed BinID 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 avgSpeed Fraction 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 162 162 162 162 162 162 162 162 162 162 162 162 162 162 172 172 172 172 172 172 172 172 172 172 172 172 172 172 172 172 182 182 182 182 182 182 182 182 182 182 182 182 182 182 182 182 192 192 192 192 192 192 192 192 192 192 192 192 192 192 192 192 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 212 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 1 avgSpeed Fraction 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 C-26 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 Hour DayID 212 212 212 212 212 212 212 212 212 212 212 212 212 212 212 222 222 222 222 222 222 222 avgSpeed BinID 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 avgSpeed Fraction 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 [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 Model YearID 1960 1960 1960 1961 1961 1961 1962 1962 1962 1963 1963 1963 1964 1964 1964 1965 1965 1965 1966 1966 1966 1967 1967 1967 1968 1968 1968 1969 1969 1969 1970 1970 1970 1971 1971 1971 1972 1972 1972 1973 1973 1973 1974 1974 1974 1975 1975 1975 1976 1976 1976 1977 1977 1977 Fuel TypeID 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 Eng TechID 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 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 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 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 Model YearID 1978 1978 1978 1979 1979 1979 1980 1980 1980 1981 1981 1981 1982 1982 1982 1983 1983 1983 1984 1984 1984 1985 1985 1985 1986 1986 1986 1987 1987 1987 1988 1988 1988 1989 1989 1989 1990 1990 1990 1991 1991 1991 1992 1992 1992 1993 1993 1993 1994 1994 1994 1995 1995 1995 Hour DayID 222 222 222 222 222 222 222 222 222 232 232 232 232 232 232 232 232 232 232 232 232 232 avgSpeed BinID 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 Fuel TypeID 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 Eng TechID 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 avgSpeed Fraction 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 Source Road TypeID TypeID 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 21 5 fuelEng Fraction 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 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 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 Model YearID 1996 1996 1996 1997 1997 1997 1998 1998 1998 1999 1999 1999 2000 2000 2000 2001 2001 2001 2002 2002 2002 2003 2003 2003 2004 2004 2004 2005 2005 2005 2006 2006 2006 2007 2007 2007 2008 2008 2008 2009 2009 2009 2010 2010 2010 2011 2011 2011 2011 2012 2012 2012 2013 2013 Hour DayID 232 232 232 242 242 242 242 242 242 242 242 242 242 242 242 242 242 242 242 avgSpeed BinID 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Fuel TypeID 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 2 3 1 2 3 1 2 Eng TechID 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 12 1 1 1 1 1 1 avgSpeed Fraction 0.000000 0.000000 0.000000 0.000000 0.000182 0.006560 0.026146 0.136614 0.263923 0.234566 0.250808 0.077113 0.002482 0.001245 0.000360 0.000000 0.000000 0.000000 0.000000 fuelEng Fraction 0.009941 0.892002 0.098057 0.009676 0.816155 0.174169 0.009992 0.840892 0.149116 0.009928 0.877256 0.112816 0.008437 0.915627 0.075935 0.000000 0.000000 1.000000 0.008957 0.891072 0.099971 0.000000 0.000000 1.000000 0.000000 0.000000 1.000000 0.000000 1.000000 0.000000 0.000000 0.092593 0.907407 0.000000 1.000000 0.000000 0.000000 0.320000 0.680000 0.000000 0.151515 0.848485 0.000000 1.000000 0.000000 0.000000 0.000000 0.435897 0.564103 0.000000 0.027027 0.972973 0.100000 0.000000 C-27 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 Model YearID 2013 2013 2014 2014 2014 2015 2015 2015 2016 2016 2016 2017 2017 2017 2018 2018 2018 2019 2019 2019 2020 2020 2020 2021 2021 2021 2022 2022 2022 2023 2023 2023 2024 2024 2024 2025 2025 2025 Fuel TypeID 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 Eng TechID 12 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 fuelEng Fraction 0.118182 0.781818 0.010204 0.132653 0.857143 0.058824 0.000000 0.941176 0.136364 0.477273 0.386364 0.027778 0.138889 0.833333 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 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 Model YearID 2026 2026 2026 2027 2027 2027 2028 2028 2028 2029 2029 2029 2030 2030 2030 2031 2031 2031 2032 2032 2032 2033 2033 2033 2034 2034 2034 2035 2035 2035 2036 2036 2036 2037 2037 2037 2038 2038 Fuel TypeID 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 Eng TechID 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 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 fuelEng Fraction 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 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 Model YearID 2038 2039 2039 2039 2040 2040 2040 2041 2041 2041 2042 2042 2042 2043 2043 2043 2044 2044 2044 2045 2045 2045 2046 2046 2046 2047 2047 2047 2048 2048 2048 2049 2049 2049 2050 2050 2050 Fuel TypeID 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 1 2 3 Eng TechID 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 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 C-28 Appendix D. Emissions from Facilities Treated as Area Sources in the 2017 Periodic Emissions Inventory The table below lists those facilities whose reported 2017 emissions have been included in the area source categories of this 2017 Periodic Emissions Inventory for Ozone Precursors. Table D-1. Emissions (tons/yr) from facilities whose emissions are reflected in area source categories in the 2017 Periodic Emissions Inventory. ID 133843 Business Name 21ST CENTURY INSURANCE 23RD AVE WASTEWATER TREATMENT PLANT 4283929 DELAWARE, LLC- AMES DIVERSIFIED 44 MONROE CONDOMINIUM ASSOCIATION A FORZANO & SON INC A LEGACY FUNERAL HOME LLC 120034 AT&T 120036 AT&T AAH IRONWOOD CUSTOM FINISHING, LLC ABEL FUNERAL SERVICES INC ABLE STEEL FABRICATORS ADESA PHOENIX LLC ADLER REALTY INVESTMENTS LLC ADOA ADOT (AIR) 131509 1074 135960 130250 1330 40471 132976 1387 1952 131574 131397 126395 72104 969 132575 132778 133228 90012 34139 AERSALE, INC. AF LORTS MANUFACTURING COMPANY INC AGP ARIZONA CENTER OWNER LLC ALASKA USA FEDERAL CREDIT UNION ALL PRO HYDROJETTING AND PUMPING, LLC ALL STATE CREMATORY ALL WOOD TREASURES CO Address VOC NOX 16001 N 28TH AVE 0.0 0.1 0.0 2470 S 22ND AVE 0.3 3.1 35.4 3131 W CLARENDON AVE 0.0 2.4 0.1 0.0 0.2 0.0 0.0 0.7 0.0 0.1 3.1 0.7 0.0 0.2 0.0 0.0 1.4 0.1 2.3 5.2 0.1 0.1 0.0 0.0 0.0 0.6 0.5 0.0 0.1 0.4 0.0 3.7 1.1 0.2 0.0 0.3 0.1 16325 N 56TH AVE 0.0 0.4 0.2 6525 W STATE AVE 1110 S HORNE #108 0.0 0.1 0.0 0.0 0.6 0.0 2063 E CEDAR ST 0.1 44 W MONROE ST 3020 N CIVIC CENTER PZ 1722 N BANNING #101 1301 W UNIVERSITY DR 1355 W UNIVERSITY DR 1822 E MADISON ST 1544 W GRANT ST 4150 E QUARTZ CIR 400 N BECK AVE #2 2600 N CENTRAL AVE 100 N 15TH AVE 206 S 17TH AVE 1658 S LITCHFIELD RD 15836 W EDDIE ALBERT WAY 400 E VAN BUREN ST CO 1.4 4.2 19.1 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-1 ID 131474 35541 135582 131490 4397 1504 96683 Business Name ALLIED PACKAGING CORPORATION ALLIED TUBE AND CONDUIT ALPINE VALLEY BREAD COMPANY ALSCO AMBER STEEL FABRICATION, INC. 130470 AMERICAN AIRLINES AMERICAN EXPRESS AMERICAN EXPRESS SERVICE CENTER AMERICAN FENCE & SECURITY CO INC AMERICAN FIBERGLASS ANIMAL CREMATION SERVICES APS - ALIGNED ENERGY DATA CENTER ARCHITECTURAL MILLWORK DESIGN INC ARE-LEI PHOENIX GATEWAY ASSOCIATES, LLC ARIZONA AIR NATIONAL GUARD ARIZONA CUSTOM CABINETS INC ARIZONA DEPARTMENT OF PUBLIC SAFETY ARIZONA DEPARTMENT OF TRANSPORTATION ARIZONA DEPARTMENT OF TRANSPORTATION ARIZONA DEPARTMENT OF TRANSPORTATION ARIZONA GALVANIZING INC ARIZONA GOLF RESORT & HOTEL LLC ARIZONA LANDFILL LLC 131310 ARIZONA MILLS LLC 58431 132483 1243 133188 135352 129696 131519 3471 35372 131765 131996 132011 132015 3938 134107 Address VOC NOX 5640 S 16TH ST 1.1 3.9 1.7 2525 N 27TH AVE 300 W SOUTHERN AVE 4707 W CAMELBACK RD 11331 E GERMANN RD 4000 E SKY HARBOR BLVD 18850 N 56TH ST 14.7 0.1 0.1 1.6 0.7 0.6 0.1 1.5 1.3 2.5 0.1 1.2 0.5 20022 N 31ST AVE 2737 W VIRGINIA AVE 2533 W CYPRESS ST 5348 W BETHANY HOME RD 0.0 1.4 0.3 0.0 0.4 0.0 2500 W UNION HILLS DR 1.0 8.5 8.5 330 W MELINDA LN 5.2 432 N 44TH ST 3200 E OLD TOWER RD 0.0 0.1 0.0 0.8 0.1 0.1 8729 N 78TH AVE 3.3 2102 W ENCANTO BLVD 0.1 1.1 0.5 0.0 0.3 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.2 4.1 3.5 425 S POWER RD 0.1 0.2 0.1 2750 S 11TH AVE 5000 S ARIZONA MILLS CIR 0.1 6.4 0.3 0.1 0.7 0.2 I-10 MP146.0 3RD ST NWC OF MCKELLIPS RD & SOSSAMAN RD 202 LOOP MP51.5 101 & 202 15775 W ELWOOD ST CO 10.4 9.1 1.7 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-2 ID 131021 132390 130834 4364 130835 36898 1055 4109 93166 4328 1502 130526 134215 131557 50422 31585 128533 130233 129791 781 121830 29946 129595 4511 Business Name ARIZONA NUTRITIONAL SUPPLEMENTS LLC ARIZONA SHUTTERS AND BLINDS LLC ARIZONA ST UNIVERSITY DOWNTWN PHX CAMPUS ARIZONA STATE UNIVERSITY ARIZONA STATE UNIVERSITY, WEST CAMPUS ASPC-LEWIS ASPHALT TERMINALS LLC ASSOCIATED CONSTRUCTION ENTERPRISES INC ASSOCIATED WOODWORKS ASU MACROTECHNOLOGY WORKS ATLAS ROOFING CORPORATION AVIATION DEPARTMENT - 44TH ST PUMP HOUSE AVNET AZ DEPARTMENT OF JUVENILE CORRECTIONS BAE SYSTEMS AEROSPACE AND DEFENSE GROUP BANK OF AMERICA BANK OF AMERICA BANK OF AMERICA N.A. BANNER DEL E. WEBB MEDICAL CENTER BANNER GOOD SAMARITAN MEDICAL CENTER BANNER HEALTH BANNER THUNDERBIRD MEDICAL CENTER BARREL O' FUN SNACK FOOD SOUTHWEST BARTLETT LAKE MARINA Address VOC 210 S BECK AVE 21620 N 26TH AVE #150 2.1 NOX CO 0.6 522 N CENTRAL AVE 0.1 1.0 0.5 1551 S RURAL RD 2.3 9.1 5.6 0.0 5.0 0.4 8.9 0.4 4.1 3.7 9.2 7.7 4701 W THUNDERBIRD RD 26700 S HWY 85 1935 W MCDOWELL RD 3645 N 40TH AVE 0.8 1401 N 26TH AVE 1.1 7700 S RIVER PKWY 0.7 1.4 1.1 40 S 45TH AVE 6.6 0.3 0.1 425 S 44TH ST 60 S MCKEMY AVE 0.0 0.0 0.6 0.2 0.3 0.1 2800 W PINNACLE PEAK RD 0.0 0.4 0.1 2.6 0.1 0.0 2.8 0.0 0.3 0.0 1.1 0.3 0.0 1.6 0.4 14502 W MEEKER BLVD 0.2 4.4 2.6 1111 E MCDOWELL RD 1900 N HIGLEY RD 0.5 0.2 8.0 5.4 2.9 5555 W THUNDERBIRD RD 0.4 6.8 4.0 1.8 18.5 17.2 2.0 20.5 4.4 7822 S 46TH ST 2500 W FRYE RD 1825 E BUCKEYE RD 2595 W CHANDLER BLVD 7330 W SHERMAN ST 20808 E BARTLETT DAM RD 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-3 ID 126319 102954 Business Name BELLA BEAMS & ARCHITECTURAL PRODUCTS INC 56105 BERRY GLOBAL, INC. BEST FUNERAL SERVICES, INC. BIG SURF WATERPARK BILTMORE SHUTTERS INC BIMBO BAKERIES USA, INC BIOMEDICAL SCIENCES PARTNERSHIP BUILDING BLUE CROSS BLUE SHIELD OF ARIZONA INC BLUE CROSS BLUE SHIELD OF ARIZONA INC BRIDGESTONE AMERICAS TIRE OPERATIONS,LLC BRYANT INDUSTRIES INC BUCKEYE GRAIN U LLC BURDETTE CABINET CO INC 106512 135009 C AND A MFG, LLC C.A.S. CORPORATION 131634 3442 131966 133365 CAFE VALLEY INC CALJET CALPORTLAND CALPORTLAND 607 961 74058 3305 136591 129138 130716 133044 458 133099 3296 132495 898 291 131767 132154 1317 1318 CALVERT OIL CO CAMEO CABINETS & FURNITURE LLC CAMINO DEL SOL FUNERAL CHAPEL&CREMATION CAPITAL LUMBER COMPANY CAREMARK, L.L.C. CAREMARK, L.L.C. CAVCO INDUSTRIES INC CAVCO INDUSTRIES INC Address VOC 825 N 73RD AVE 8400 W WASHINGTON ST 9380 W PEORIA AVE 1500 N MCCLINTOCK DR 1138 W WATKINS ST 738 W VAN BUREN ST 0.0 NOX CO 0.0 0.0 0.7 0.0 0.1 2.6 0.4 5.3 1.8 1.5 475 N 5TH ST 0.0 0.7 0.6 2480 W LAS PALMARITAS DR 0.0 0.5 0.1 2475 W TOWNLEY AVE 0.4 1.2 0.1 6533 S MOUNTAIN RD 5.5 2.2 1.8 0.4 1.0 0.1 0.1 20.3 35.5 0.0 0.0 2.6 0.0 0.8 0.0 2.2 0.0 0.6 0.0 0.0 0.2 0.0 11 N 45TH AVE 9501 E SHEA BLVD 4121 E COTTON CENTER BLVD 0.1 0.1 2.8 0.6 0.0 0.9 0.2 2602 S 35TH AVE 1366 S LITCHFIELD RD BLDG #6 0.7 2.8 788 W ILLINI ST 29700 W LOWER RIVER RD 4.3 3941 N HIGLEY RD 250 E UNIVERSITY DR 901 W MELINDA LN 7000 W BUCKEYE RD 125 N 53RD AVE 4830 S 43RD AVE 3410 E VIRGINIA ST 214 E ARIZONA EASTERN AVE 2601 W CYPRESS ST 10.7 13738 W CAMINO DEL SOL 0.1 8.4 1.0 14.6 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-4 ID 1316 132126 260 98591 98492 63 579 1310 82244 128869 823 131471 36258 3441 130851 127616 125351 131042 111469 130711 121082 127947 85000 130308 64017 123979 Business Name CAVCO INDUSTRIES LLC/DURANGO PLANT CB RICHARD ELLIS, INC. CEMEX - 19TH AVE PLANT CEMEX - 7TH STREET PLANT CEMEX - BUCKEYE PLANT CEMEX - EL MIRAGE PLANT CEMEX - WEST VALLEY PLANT CENTURY GRAPHICS LLC CHANDLER-GILBERT COMM COLLEGE CHARLES SCHWAB & CO INC CHEMRESEARCH CO INC CHUBB GROUP OF INSURANCE CO.'S CINTAS CORPORATION CIRCLE K TERMINAL LLC CITY OF CHANDLER REVERSE OSMOSIS CITY OF CHANDLER AIRPORT WATER REC FAC CITY OF GLENDALE OASIS WATER CAMPUS CITY OF MESA MESA ARTS CENTER CITY OF MESA SIGNAL BUTTE WTP CITY OF MESA WATER RESOURCES (WGFPS) CITY OF PEORIA CITY OF PEORIA BUTLER WATER REC. FAC. CITY OF PHOENIX 24TH ST WTP CITY OF PHX AVIATION DEPT SM OPER SITE CITY OF SCOTTSDALE CITY OF SCOTTSDALE Address 2502 W DURANGO ST 25500 N NORTERRA PKWY VOC 0.0 0.0 0.0 3640 S 19TH AVE 0.1 0.1 0.0 23210 N 7TH ST 22625 W BELOAT RD 8635 N EL MIRAGE RD 11550 W NORTHERN AVE 0.0 0.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 2960 GRAND AVE 4.3 0.2 0.2 7440 E TAHOE AVE 2423 E LINCOLN DR 1130 W HILTON AVE 2155 W PINNACLE PEAK RD #400 4804 W ROOSEVELT ST 5333 W VAN BUREN ST 3737 S OLD PRICE RD 0.0 0.0 0.0 0.0 1.0 0.2 2.7 0.3 0.2 0.0 1.1 0.2 54.7 928.2 779.8 0.1 0.9 0.7 905 E QUEEN CREEK RD 0.0 0.4 0.1 7070 W NORTHERN AVE 0.2 1.4 1.8 1 E MAIN ST 0.2 2.9 1.9 10950 E ELLIOT RD 0.0 0.3 0.0 5457 S SOSSAMAN RD 8900 N 79TH AVE 0.0 2.1 0.6 0.6 0.1 0.1 8660 N 78TH AVE 0.8 0.8 0.4 6202 N 24TH ST 1.6 0.2 0.1 0.6 0.3 0.0 0.1 2.2 0.5 0.2 0.4 0.1 1712 E RENTAL CAR WY 16638 N PIMA RD NPB #40 9065 E VIA LINDA NOX CO 12.7 26.1 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-5 ID 127820 86375 38161 131410 126636 4403 43818 1075 49636 106477 132496 113723 34473 1054 399 227 128232 43917 43916 106288 129936 127537 4339 16027 18490 Business Name CITY OF SCOTTSDALE CITY OF SCOTTSDALE CHAPARRAL WTP CITY OF SCOTTSDALE WATER CAMPUS CITY OF SURPRISE MUNICIPAL PROPERTY CORP CITY OF SURPRISE SPA 2 REG WATER REC CLARIANT PLASTICS & COATINGS USA INC-PHX CLASSIC PARTY RENTALS CO PHX 91ST AVE WWTP COFFMAN SPECIALTIES INC COLLABORATIVE RESEARCH BLDG CONCEPT CABINETRY CONTRACTORS LANDFILL & RECYCLING COPLIN MFG INC COPPERSTATE CABINET CO INC CORESLAB STRUCTURES (ARIZ) INC CORROSION ENGINEERING INC COSTCO GASOLINE #1028 COSTCO GASOLINE #490 COSTCO GASOLINE #665 COSTCO GASOLINE #738 COSTCO GASOLINE FACILITY NO. 1058 COSTCO GASOLINE LOC. 827 (AIR) COSTCO WHOLESALE #427 COSTCO WHOLESALE #436 COSTCO WHOLESALE #465 Address 7601 E MCKELLIPS RD VOC NOX 0.8 1.1 0.4 8111 E MCDONALD DR 0.0 0.8 0.2 8787 E HUALAPAI DR WC101 0.1 1.9 0.4 14355 W PARADISE LN 0.0 0.2 0.0 15667 W PLANADA LN 0.0 0.1 0.0 1.6 18.2 6.6 PORTABLE 1 13208 E SHEA BLVD 700 N MONTEREY ST 0.1 0.6 0.1 0.1 0.9 0.6 2425 N CENTER ST 7505 W WASHINGTON ST 0.0 0.1 0.0 1932 W NORTH LN 6.9 5026 S 43RD AVE 7.4 145 S NINA CIR 7525 E HAMPTON RD 11.5 0.4 0.4 19001 N 27TH AVE 1646 W MONTEBELLO AVE 2454 E BEARDSLEY RD 4550 E CACTUS RD PV MALL 14.8 3801 N 33RD AVE 15255 N HAYDEN RD 6.1 19.1 1445 W ELLIOT RD 13.9 4502 E OAK ST 14.5 4425 E ELWOOD ST #104 3103 E BROADWAY RD #400 5615 S 91ST AVE #1 CO 0.0 0.8 0.6 5.3 13.0 12.0 16.2 15.6 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-6 ID 104505 51068 60765 99731 1198 289 131081 4368 129 134012 131179 130790 131444 131392 132691 137795 47179 130953 128167 51073 128029 36 127094 48771 128405 Business Name COSTCO WHOLESALE #644 COSTCO WHOLESALE #674 COSTCO WHOLESALE #691 COSTCO WHOLESALE #736 COURIER GRAPHICS CORP COURTHOUSE AG HOLDINGS LLC COX COMMUNICATIONS AZ DEER VALLEY CAMPUS CRAFTSMEN IN WOOD MFG CROTHALL LAUNDRY SERVICES CROWN CUSTOM MILLWORK, LLC CSE OPERATING I, LLC CUSTOM FAB INC CUSTOM LANDSCAPE MATERIALS "BELMONT" CUSTOM LANDSCAPE MATERIALS "BIG HORN" CUSTOM LANDSCAPE MATERIALS, LLC DECA CREMATION SERVICES, INC. DESERT MILLWORK INC DIFFERENT BY DESIGN DIGITAL REALTY TRUST DIGITAL REALTY TRUST CHANDLER, LLC DIGITAL REALTY TRUST -TEMPE DATA CENTER DON SANDERSON FORD INC DOUBLETREE PAPER MILL LLC EAGLE ROOFING PRODUCTS EAST VALLEY BUS OPERATIONS & MAINTENANCE Address VOC 2887 S MARKET ST 15.6 17550 N 79TH AVE 10000 W MCDOWELL RD 595 S GALLERIA WAY 16.7 2621 S 37TH ST 51040 W VALLEY RD 5.4 0.4 0.3 2.9 0.0 0.0 1550 W DEER VALLEY RD 0.0 0.3 0.1 5441 W HADLEY ST 5.2 0.0 0.0 4445 S 36TH ST 2740 W DEER VALLEY RD 29115 W BROADWAY RD 3065 S 43RD AVE 25376 W TONOPAHSALOME HWY 0.3 5.6 4.7 0.0 4.2 8.8 0.6 10.3 0.5 0.1 0.7 0.2 0.3 3.9 0.8 0.6 6.8 1.5 2139 S 15TH ST 1702 W ROOSEVELT ST 203 W LONE CACTUS DR 120 E VAN BUREN ST #120 0.0 0.8 0.0 0.1 3.0 0.7 2121 S PRICE RD 0.4 6.4 1.9 2055 E TECHNOLOGY CIR 0.0 0.5 0.0 4.4 10.4 20.0 4.5 0.4 0.3 AGUILA RD MILE POST 12 6400 N 51ST AVE 31201 W THAYER RD 4602 W ELWOOD ST 2050 W RIO SALADO PKWY NOX CO 13.7 15.1 5.8 0.7 0.2 3.6 5.8 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-7 ID 26 130260 54414 1505 137059 1488 224 925 35018 47516 132690 132911 132381 107758 130952 128991 119373 27728 1375 67317 134227 132482 3406 561 1418 131046 131841 10 Business Name EMPIRE MACHINERY CO ENTRUSTED PETS, INC. EWING HARDSCAPE SUPPLY, LLC EXECUTIVE DOOR COMPANY F&B MANUFACTURING LLC FARMER'S GIN INC FERTIZONA FERTIZONA BUCKEYE LLC FIBERGLASS DESIGNS LLC. FINE LINE MFG INC FINE WOODS MFG INC FINECRAFT CUSTOM WOODWORKS LLC FINISHING TOUCH LLC FIREBIRD PRODUCTS, LLC FIRST DATA RESOURCES INC FISHER SAND & GRAVEL FLEXIBLE TECHNOLOGIES INC FLIPCHIP INTERNATIONAL FOREST DESIGNS FORTERRA PIPE & PRECAST, LLC FUEL PROCESSING OPERATORS LLC G & L POWERS INC GILA BEND AIR FORCE AUX FIELD GLENWOOD CUSTOM CABINETS, LLC GOODRICH CORPORATION GOODYEAR BALLPARK GRANITE EXPRESS PIONEER GREEN ACRES MORTUARIES & CEMETERIES INC Address 1725 S COUNTRY CLUB DR VOC NOX CO 3.2 7.1 2.0 2237 S 15TH ST 0.0 0.2 0.0 PORTABLE 3939 W CLARENDON AVE 0.1 1.8 0.4 4245 N 40TH AVE 8400 S TURNER RD 17102 W OLIVE AVE 26705 W BASELINE RD 128 W MARICOPA FWY 4506 E KERBY AVE 0.1 0.0 0.2 0.0 2143 E JONES AVE 1.2 5775 N 51ST AVE 5411 W ORANGE DR #15 1.7 6010 N 53RD DR 240 N ROOSEVELT AVE 5.3 0.1 4.8 0.5 PORTABLE #3 2.3 8.1 8.5 615 S 56TH AVE 3701 E UNIVERSITY DR 3230 E ROESER RD #10 12600 W NORTHERN AVE 12126 W OLIVE AVE 1483 W HARVARD ST 0.6 0.3 0.3 0.0 0.4 0.3 7.6 4.0 3.4 0.5 0.1 0.3 0.2 0.5 4.2 1.5 1.2 13.6 4.1 0.1 HWY 85 0.6 44 E PIONEER ST 2.2 3414 S 5TH ST 1933 S BALLPARK WAY 15.6 0.0 0.1 0.2 3.6 3.0 0.8 10.3 2.2 0.0 0.0 0.0 401 N HAYDEN RD 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-8 ID 141 4498 135004 699 131334 31565 129711 106458 95050 134532 590 3536 39213 1059 247 136898 168 403 131198 354 777 31617 130597 43832 130265 983 Business Name GRO-WELL BRANDS INC HANSON AGGREGATES LLC HANSON AGGREGATES OF ARIZONA INC HANSON AGGREGATES, LLC HELIAE DEVELOPMENT LLC HENRY PRODUCTS INC HERITAGE CREMATORY HERTZ RENT A CAR (PHX SKY HARBOR) HICKMANS EGG RANCH HICKMAN'S EGG RANCH, INC. HOLLYFRONTIER ASPHALT COMPANY LLC HOLSUM BAKERY INC HOLSUM OF TOLLESON LLC HONEYWELL ENGINES SYS & SERVICE PHX R&O HONEYWELL INTERNATIONAL INC (TEMPE, AZ) HUHTAMAKI INC. HYDRO CONDUIT CORP HYDRO EXTRUSION NORTH AMERICA, LLC IMPERIAL WOODWORKING LLC IMSAMET OF ARIZONA INSULFOAM INTEL CORP CHANDLER CAMPUS (FAB 6) INTERNATIONAL FLORA TECHNOLOGIES INTERNATIONAL PAPER IO PHOENIX ONE, LLC ISOLA GROUP S A R L Address VOC 2807 S 27TH AVE 33500 W INDIAN SCHOOL RD 0.1 NOX CO 0.0 0.0 0.0 0.0 0.0 0.0 4002 S 51ST AVE 614 E GERMANN RD 1.1 4.8 10.5 5.9 0.0 0.0 302 S 23RD AVE 12525 NW GRAND AVE 1711 E BUCKEYE RD 32425 W SALOME HWY 41625 W INDIAN SCHOOL RD 10.7 0.6 0.5 0.0 0.4 0.0 0.9 1.2 1.7 0.1 0.6 0.3 5.0 6.9 5.8 12.2 3.6 3.1 7.2 3.1 2.6 1944 E SKY HARBOR CIR 11.7 1.7 3.3 1300 W WARNER RD 4320 S COTTON LN 5.0 0.3 3.8 2.4 1011 S 43RD AVE 0.0 0.0 0.0 249 S 51ST AVE 4012 W TURNEY AVE #6 3829 S ESTRELLA PKWY 3401 W COCOPAH ST 29.7 12.1 12.5 10.2 6.6 71.9 47.3 2.4 1.2 11401 W GLENDALE AVE 7110 W NORTHERN AVE 2322 W LINCOLN ST 9600 W BUCKEYE RD 1.6 2.3 5000 W CHANDLER BLVD 11.8 28633 W PATTERSON RD 0.0 0.1 0.1 660 S 83RD AVE 615 N 48TH ST 165 S PRICE RD 7.2 0.3 6.4 0.8 6.5 9.4 2.2 0.6 3.4 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 7.9 D-9 ID 101 Business Name JBS TOLLESON INC 1213 JENSEN PRECAST JERRY'S OFFICE FURNITURE JPCI SERVICES JW MARRIOTT DESERT RIDGE HOTEL KROPF WOODWORKING INC L3 TECHNOLOGIES LADDER INDUSTRIES INC LEGENDS FURNITURE LENTECH INDUSTRIAL LLC LGS AZ, LLC DBA LOOK TRAILERS LIFEPLAN CREMATORIUM INC LITCHFIELD PARK SERVICE CO LIBERTY WATER LOVE'S COUNTRY STORE #296 M E GLOBAL INC MAAX SPAS INDUSTRIES CORP MADISON GRANITE SUPPLIES MAGELLAN AEROSPACE, GLENDALE INC MARATHON EQUIPMENT COMPANY MARLAM INDUSTRIES INC 93041 1027 49780 811 857 3999 96886 4336 131339 130111 129796 39914 744 1248 31261 148 133636 353 61268 135887 1200 244 3326 64504 4105 MASTER BLOCK MCLANE FOODSERVICE MEDTRONIC - TEMPE MELCHER MISSION CHAPEL AND CREMATORY MESA FULLY FORMED LLC MESA FULLY FORMED, LLC MESA INDUSTRIES INC Address 651 S 91ST AVE 2410 W BROADWAY RD 1413 E JACKSON ST PORTABLE NOX 14.6 CO 2.6 0.2 3.7 2.6 0.6 0.4 6.8 5.6 11035 N 22ND AVE 1215 S 52ND ST 1040 S CAMINO ORO 10300 W BUCKEYE RD 3309 W LINCOLN ST 8230 N EL MIRAGE RD 1.3 16.6 0.3 0.1 1216 N 17TH AVE 0.0 0.7 0.0 6302 N EL MIRAGE RD 0.0 0.5 0.1 14.7 27.3 29.0 56.3 0.2 15.7 2.8 4.5 1.1 0.7 6.9 1.9 0.1 19.2 0.0 0.0 0.0 0.4 0.3 0.0 0.1 0.0 19.3 0.6 0.7 6625 E MAIN ST 0.0 0.7 0.0 1111 S SIRRINE ST 10.2 7335 N 108TH AVE 0.4 230 N 48TH AVE 0.1 5350 E MARRIOTT DR 820 W PIMA RD 5857 S KYRENE RD 25605 S ARIZONA AVE 29925 N NORTH VALLEY PKWY 5440 W MISSOURI AVE 402 N 44TH AVE 834 E HAMMOND LN 12620 W BUTLER DR 7600 W ROOSEVELT ST 2343 W MEDTRONIC WAY VOC 7.6 0.0 5.5 42.4 0.6 10.1 61.3 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-10 ID 3724 882 13650 132523 264 146 34197 114015 910 129677 881 56506 3953 31637 53 302 131719 108199 134521 98 428 130656 733 49047 419 1398 109938 Business Name MISSION FOODSTEMPE MORTON SALT, INC. MOUNTAIN RIDGE HIGH SCHOOL MOUNTAIN VIEW CUSTOM CABINETS, INC. MOUNTAIN VIEW FUNERAL HOME AND CEMETERY MWM CORPORATION NATIONAL GYPSUM COMPANY NATIONAL SPECIALTY AGGREGATES LLC NELTEC INC NO WASTE GRINDINGS NXP SEMICONDUCTORS OAK CREEK FURNITURE INC OAKCRAFT INC OLAM COTTON OLDCASTLE PRECAST INC OLSON PRECAST OF ARIZONA INC OPTIMA CAMELVIEW VILLAGE OT CALJET LLC PALLET MANAGEMENT SERVICES OF AZ, LLC PALO VERDE NUCLEAR GENERATING STATION PALOMA GIN PROPERTIES LLC PALOMA READY MIX & MATERIALS LLC PAN GLO SERVICES LLC PARADISE MEMORIAL CREMATORY PARKER HANNIFIN CORP PATRICIAN MARBLE CO PAYPAL INC. Address VOC NOX 5860 S ASH AVE 13000 W GLENDALE AVE 2.4 2.9 2.4 0.8 8.6 2.5 22800 N 67TH AVE 0.0 0.1 0.0 23306 N 15TH AVE 7.8 7900 E MAIN ST 5650 W BUCKEYE RD 0.2 0.1 0.0 1414 E HADLEY ST 11.1 4.1 7.6 4310 S 80TH ST 1420 W 12TH PL 0.0 1.5 0.0 2.7 0.0 1.4 PORTABLE #1 1300 N ALMA SCHOOL RD 5355 N 51ST AVE #7 7733 W OLIVE AVE 25500 W SOUTHERN AVE 0.7 8.0 1.7 21.8 15.8 7.7 1.5 59.7 0.1 0.1 0.0 0.1 0.0 411 E FRYE RD 4.5 4.0 0.9 3045 S 35TH AVE 7141 E RANCHO VISTA DR 57 N 57TH AVE 1.4 0.5 0.5 8.8 43.1 9.6 0.0 0.0 0.0 0.0 0.4 0.1 9.3 0.5 0.4 0.0 1.7 0.1 17.4 1.2 407 S 107TH AVE BUILDING D 5801 S WINTERSBURG RD 57525 S POTATOE RD PORTABLE #1 2401 W SHERMAN ST 9300 E SHEA BLVD BLDG C 7777 N GLEN HARBOR BLVD 3333 W OSBORN RD 4010 N 3RD ST CO 0.5 0.0 6.9 0.3 25.7 3.4 0.2 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-11 ID 4241 29244 128625 46123 69 1491 562 1154 133798 56250 4007 108860 60889 1335 3307 437 131898 127827 98541 132499 2206 537 128324 131605 126322 Business Name PEPSICO PET & ANIMAL LOVERS SERVICE (PALS) PHOENIX BAPTIST HOSPITAL (NEW AIR) PHOENIX CABINET COMPANY PHOENIX HEAT TREATING INC PHOENIX METALCRAFT INC PHOENIX NEWSPAPERS INC PING INC PLATYPUS DEVELOPMENT LLC POLY ONE PCC PRECISION TRUCK PAINTING & REPAIR INC PRISMA GRAPHIC CORPORATION PURCELLS WESTERN STATES TIRE QUALITY BLOCK INC QUIKJET LLC QUIKRETE COMPANIESARIZONA QUIKTRIP DISTRIBUTION PHOENIX QUINTERO WASTEWATER TREATMENT FACILITY QWEST R & G CUSTOM CRAFTING LLC RED EAGLE ENTERPRISES INC RED MOUNTAIN MINING INC REGENCY MORTUARY SERVICES INC REGIONAL PUBLIC TRANSPORTATION AUTHORITY RELIANCE CUSTOM CABINETS, INC. Address 409 S 104TH AVE VOC 1.4 NOX 6.2 CO 12.7 3629 N 40TH AVE 2000 W BETHANY HOME RD 0.1 3.6 0.2 0.0 0.2 0.1 2801 N 37TH AVE 2405 W MOHAVE RD 1.2 1.7 1.5 3845 N 29TH AVE 2.3 22600 N 19TH AVE 2201 W DESERT COVE AVE 3740 S SIGNAL BUTTE RD 7601 N GLEN HARBOR BLVD 3.0 0.5 0.1 8.9 0.1 0.1 0.2 1.7 0.7 0.1 0.0 0.0 2212 N 27TH AVE 2937 E BROADWAY RD 2.7 4.7 0.2 0.2 420 S 35TH AVE 3035 S 35TH AVE 5119 W MONROE ST 0.0 0.0 0.1 0.8 0.1 0.7 46.4 0.1 0.4 26807 W BASELINE RD 0.1 2.6 0.3 8501 W LATHAM ST 1.0 1.0 0.7 0.0 0.6 0.1 0.0 0.5 0.1 0.0 0.1 0.1 4520 N POWER RD 0.6 7.7 1.7 9850 W THUNDERBIRD RD 0.0 0.3 0.0 0.0 0.2 0.0 16752 W STATE ROUTE 74 215 E INDIAN SCHOOL RD 2343 W CYPRESS ST 12946 W SANTA FE DR 3320 N GREENFIELD RD 825 N 73RD AVE #144 2.6 1.9 0.0 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-12 ID 131816 136561 44356 4318 Business Name RENAISSANCE GLENDALE HOTEL & SPA REVOLUTION INDUSTRIAL, LLC RITCHIE BROS AUCTIONEERS (AMERICA) INC RIVER RANCH PLANT #40 133058 ROCK SOLID INC 133589 4543 ROCK SOLID INC ROHRER CORPORATION 1240 RYSSO PETERS 132784 42617 35385 132227 4072 266 246 132688 3528 1351 134841 1169 130996 18810 27933 39980 131686 130141 52776 SAM'S CLUB #6605 SASCO/SOUTHERN ARIZONA STUD COMPANY SAWMILL CABINETS, LLC SCHAUMAPLAST PRECISION FOAM MOLDING LP SCHREIBER FOODS INC SCHUFF STEEL CO SCHULT HOMES SCOTTSDALE ART FACTORY SENERGY PETROLEUM, LLC SERENITY MORTUARY SERV INC SFSR MARINA HEIGHTS SHAMROCK FOODS CO SHUTTERZ INC SILGAN PLASTIC CLOSURE SOLUTIONS SKUNK CREEK LANDFILL S-L SNACKS AZ, LLC SOLAR & RENEWABLES MANAGEMENT, LLC SOUTHWEST ASPHALT SOUTHWEST BAKING COMPANY Address VOC NOX 9495 W COYOTES BLVD 0.1 0.4 0.5 PORTABLE #1 1.2 1.8 0.0 0.0 0.0 0.0 0.0 0.0 0.1 0.0 0.0 0.0 0.0 0.1 0.0 5410 W LOWER BUCKEYE RD 5159 N EL MIRAGE RD 11500 W BEARDSLEY RD 6204 W SOUTHERN AVE CO 159 W 1ST AVE 2525 W CORONADO RD 1225 N GILBERT RD 34.2 5415 W MOHAVE ST 0.5 4712 E VIRGINIA ST 4.5 21 N 39TH AVE 10.7 0.6 0.5 2122 S HARDY DR 420 S 19TH AVE 231 N APACHE RD 7407 E GREENWAY RD 306 S COUNTRY CLUB DR 1.3 3.7 10.8 3.9 12.2 2514 S 6TH AVE 500 E RIO SALADO PKWY 2228 N BLACK CANYON HWY 6655 W FRYE RD 0.0 1.8 0.1 0.5 5.3 2.4 0.6 1.8 11.3 9.5 1.4 1.7 1.9 11.3 19.8 16.7 0.0 8.6 11.4 2.3 4.8 6.3 0.0 0.0 0.0 4 S 84TH AVE STE A 3165 W HAPPY VALLEY RD 1200 N BULLARD AVE 29505 W SOUTHERN AVE 7TH AVE PORTABLE 9604 W BUCKEYE RD 5.8 8.6 0.8 2.3 0.5 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-13 ID 46277 31643 36910 2110 122 80437 4400 378 31 165 1475 37546 Business Name SOUTHWEST FOREST PRODUCTS INC SOUTHWEST REGIONAL LANDFILL SPA-1 WATER RECLAMATION FACILITY SPECIAL DEVICES INC SPELLMAN HARDWOODS INC SR 85 LANDFILL SUMCO SOUTHWEST CORPORATION SUN LAND MATERIALS SUNLAND MEMORIAL PARK 131506 SUPERLITE BLOCK SUPERLITE BLOCK SUPERLITE BLOCK SWIM PLATFORMS INC THATCHER COMPANY OF ARIZONA THE BOEING COMPANY THE DIAL CORPORATION A HENKEL COMPANY THE INVENTURE GROUP INC THE PLAZA LOFTS AT KIERLAND COMMONS TOWN OF GILBERT WELL SITE #24 TOWN OF GILBERT SO. AREA SERVICE CENTER UNITED DAIRYMEN OF ARIZONA UNIVERSITY OF PHOENIX UPPER CRUST BAKERY USAA (UNITED SERVICES AUTOMOBILE ASSOC) 130359 VANGUARD 127833 VERIZON BUSINESS 131377 126128 249 129078 35936 131502 118720 136644 234 124601 63962 Address 2828 S 35TH AVE #1 VOC NOX 0.0 0.9 0.1 24427 S HWY 85 0.3 4.0 0.4 11401 N 136TH AVE 3431 N RESEDA CIR 0.0 0.6 0.1 12.2 4645 N 43RD AVE 28633 W PATTERSON RD 19801 N TATUM BLVD 6950 W SOUTHERN AVE 15826 N DEL WEBB BLVD 301 E BASELINE RD 4021 S 19TH AVE 4626 N 42ND AVE 0.1 3220 S 38TH ST 7.4 CO 0.0 1.2 2.8 3.3 6.2 13.1 2.1 0.1 1.6 0.3 0.5 0.5 1.2 0.4 0.4 1.0 0.0 0.0 0.0 3.1 6321 S RAINBOW RD 5000 E MCDOWELL RD 0.0 0.0 0.0 23.8 2.0 1.4 7201 E HENKEL LN 0.1 0.6 0.5 3500 S LA COMETA 15215 N KIERLAND BLVD 2710 E WILLIAMS FIELD RD 0.4 6.1 5.2 0.0 0.4 0.1 0.0 1.1 0.3 2.6 30.8 39.0 0.0 0.2 0.0 11.4 1.9 1.6 0.0 0.8 0.2 0.0 0.6 0.1 0.0 1.0 0.1 4760 S GREENFIELD RD 2008 S HARDY DR 4025 S RIVERPOINT PKWY 3655 W WASHINGTON ST 1 N NORTERRA DR 14321 N NORTHSIGHT BLVD 27826 N 193RD AVE 2.5 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-14 ID 64787 102982 131704 134567 135061 135062 1415 132528 2 90 1149 130153 2703 330 398 121588 128707 3976 35359 Business Name VERIZON WIRELESS VERIZON WIRELESS (VAW) LLC VI AT SILVERSTONE VINTAGE INDUSTRIAL LLC VULCAN ASPHALT LLC VULCAN ASPHALT LLC VULCAN MATERIALS CO VULCAN MATERIALS COMPANY VULCAN MATERIALS CO-WESTERN DIVISION VULCAN MATERIALS CO-WESTERN DIVISION WEAVER QUALITY SHUTTERS INC WESTERN REGIONAL MEDICAL CENTER WESTERN STATES PETROLEUM WESTROCK CP, LLC WICKENBURG FACILITY WICKENBURG FUNERAL HOMES INC WOOD UNLIMITED INC (AIR) WOODCASE FINE CABINETRY, INC. WOODESIGN A CORPORATION Address 429 N 30TH ST VOC 0.0 NOX CO 0.1 126 W GEMINI DR 23005 N 74TH ST 1301 E JACKSON ST 0.0 0.2 1.2 0.5 0.2 0.3 3640 S 19TH AVE 1.5 1.5 11.4 5150 S 27TH AVE 7845 W BROADWAY RD 9.6 4.9 27.8 4.9 7.7 11.8 3410 E VIRGINIA ST 5.9 9.1 30.2 14521 N 115TH AVE 5.6 8.6 20.0 4830 S 43RD AVE 1.6 8.0 9.1 218 S 15TH ST 14200 W CELEBRATE LIFE WAY 1.6 0.3 0.2 450 S 15TH AVE 6902 W NORTHERN AVE 8.5 0.6 2.1 1.8 44605 GRAND AVE 0.0 0.1 0.0 187 N ADAMS ST 9801 N LITCHFIELD RD 1727 E DEER VALLEY DR BLDG 1 STE 1 3234 E CORONA AVE 0.0 0.2 0.0 1.8 23.0 5.0 18.7 0.0 0.0 0.1 0.0 0.6 2017 PERIODIC EMISSIONS INVENTORY FOR OZONE PRECURSORS – NOVEMBER 2019 D-15 Appendix E. Responsiveness Summary RESPONSIVENESS SUMMARY 2017 OZONE PERIODIC EMISSIONS INVENTORY The 2017 Ozone Periodic Emissions Inventory was made available for public review on August 26, 2019. No requests for a public hearing or formal comments were received during the public comment period. We received informal comments after the comment period closed. The comments identified a possible error in the season-day fuel combustion emission calculations for Maricopa County, the 2008 and 2015 ozone NAA. The calculation documentation was reviewed, and an error was identified. The VOC, NOx and CO values for the season-day fuel combustion emissions were updated in Tables 1.6-2, 1.6-3, 1.6-4, 3.5-1, 3.5-2, and 3.5-3. This also required recalculation of the total nonpoint (area) source emissions in each of those tables. Because the nonpoint (area) source totals were updated in the tables above, these nonpoint season-day VOC, NOx and CO values were also updated for Maricopa County, and 2008 and 2015 ozone NAA in Tables 1.7-1, 1.7-2, and 1.7-3 including the total for all source categories in each of these tables. Finally, the season-day method describing residential natural gas was changed from Heating Degree Days to Seasonal Factor in Table 3.2-1, with an associated update of the language of the Seasonal Factor in Section 3.4.9 for residential natural gas. After the comment period closed, EPA asked why the MCAQD had used data from June, July, and August to calculate ozone season-day emissions. To answer this question, the MCAQD drafted an explanation titled Ozone Formation & Ozone Season-Day Emissions in Maricopa County. EPA reviewed this explanation and agreed that June, July and August are the appropriate months for calculating ozone season-day emissions for the 2015 eight-hour ozone nonattainment area. A copy of this explanation has been added to Appendix F. Appendix F. Ozone Season-Day Ozone Formation & Ozone Season-Day Emissions in Maricopa County Introduction Ozone formation is a complex process that depends on a variety of factors, such as pollution generated by local sources (including biogenic and anthropogenic sources), weather, and transport from other areas. To determine the most appropriate period to be used to evaluate ozone seasonday emissions, the Maricopa County Air Quality Department (MCAQD) evaluated ten years of historic monitoring and weather data, point source emissions data for 2017, and methods used to estimate point source emissions. The MCAQD found that: • There are typically more exceedances of the 2015 ozone standards in June, July, and August, than there are in May or September. No exceedances occurred in September 2016 or September 2018. • Monthly average exceedance concentrations for 2015-2019 were highest June through August for four of the five years. The May 2018 exceedance average tied with June 2018 but was less than July and August that year. • The monthly maximum ozone concentration was higher in June, July, and August, than in May or September for the five-year period of 2015-2019. • Ozone formation and dispersion (or lack thereof) is a function of the amount of sunlight, daily temperatures, synoptic and local wind conditions, and to some extent, relative humidity, all of which converge to result in the highest ozone concentrations occurring in June, July, and August. • Ozone transport from California and the west into Maricopa County occurs most prominently during the spring months of April and May. Ozone transport occurs less frequently in June and is relatively rare in July and August. • Recalculating ozone season-day emissions using data from May and/or September will introduce unnecessary error that would make it more difficult to understand the complex dynamics of ozone formation in Maricopa County. • During 2017, emissions from mobile and biogenic sources were significantly higher in June, July, and August, than in May or September. Due to the magnitude of NOX emissions from mobile sources and VOC emissions from biogenic sources, ozone-season day emissions will decrease significantly if data from May and/or September is included. Historical Monitoring Data The MCAQD evaluated historical data and found that there are typically more exceedances of the 2015 ozone standard in June, July, and August, than there are in May or September. While there are some years where May has more exceedances than June, July, and/or August, the data indicate that over the last ten years, most of the exceedances occurred in June, followed by July and August. Over the most recent 5 years, June, July and August had more exceedances than either May or September, and there were no exceedances in September 2016 or September 2018. Table 1. Total number of exceedance days per month based on the 2015 ozone NAAQS, 2010 – 2019 and 2015 – 2019. Month 2010-2019 2015-2019 May 76 26 June 100 51 July 80 39 August 87 42 September 27 14 In addition, the MCAQD evaluated the average ozone concentration on exceedance days (relative to the 2015 ozone NAAQS) and found that although there are exceedances in May and September, the average exceedance day concentration is typically highest during June, July, and August. This calculation did not include data for any calendar months when there were no exceedances of the 2015 ozone standard. Table 2. Average exceedance day concentration (ppm) per month, 2010 – 2019 and 2015 – 2019. Month 2010-2019 2015-2019 May 0.074 0.073 June 0.076 0.075 July 0.076 0.076 August 0.076 0.076 September 0.075 0.075 The MCAQD also used historical data to calculate the maximum 8-hour average ozone concentration for each month during the last ten years. The MCAQD averaged this data by month to determine which months typically have the highest maximum 8-hour average ozone concentration. The MCAQD found that typically, the maximum 8-hour ozone concentration is highest in June, July, and August. Table 3. Maximum exceedance concentration (ppm) per month, 2010 – 2019 and 2015 – 2019. Month 2010-2019 2015-2019 May 0.084 0.076 June 0.092 0.091 July 0.087 0.087 August 0.090 0.090 September 0.084 0.081 Figure 1. Number of exceedance days per month by year (2010 – 2019) based on the 2015 National Ambient Air Quality Standard (NAAQS) for ozone. Figure 2. Average exceedance day concentration (ppm) per month by year. Figure 3. Maximum exceedance concentration (ppm) per month by year, 2010-2019. Historical Weather Data Higher ozone concentrations and more frequent exceedances of the ozone NAAQS are expected in June, July, and August because ozone formation and dispersion (or lack thereof) is a function of the daily temperatures, hours of sunlight and amount of ultraviolet light, synoptic and local wind conditions, and to some extent, relative humidity, all of which converge to result in the highest ozone concentrations occurring in June, July, and August. Table 4 demonstrates this for temperature and insolation. Table 4. Average high temperature (°F), hours of daylight, and UV Index by month in Maricopa County (Source: Weather Atlas, https://www.weather-us.com/en/arizona-usa/phoenix-climate). Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec High 67 71 77 85 95 104 106 104 100 89 76 66 Temperature Daylight 10.2 11 12 13 13.9 14.3 14.1 13.3 12.4 11.3 10.4 10 Hours UV Index 3 4 6 8 10 10 11 10 8 6 4 3 Another important factor is the synoptic wind conditions, which influence the movement and dispersion of ozone and its precursors. From about mid-September through mid- to late- June, synoptic winds are driven by the jet stream and mid-latitude westerly winds. This tends to provide for better dispersion during the spring and early summer unless a high pressure system pushes the jet stream north and creates stagnant conditions. When the air mass is more stagnant, local light winds are driven by down-valley flow (generally from the north and east) during the morning hours (starting at midnight) and up-valley winds from afternoon into the nighttime hours. The result is that ozone precursors and ozone can accumulate as the air mass sloshes to the west and south in the morning and to north and east in the afternoon and evening. Starting in late June to mid-July, the monsoon season begins. This is the result of persistent high pressure systems occurring, which force the storm track and its westerly winds to the north and draw air from the south and the southeast. This change helps create better conditions for ozone formation and can prevent its dispersion. Theses winds bring moisture from the Gulf of Mexico and Baja, which provides additional water vapor to participate in ozone formation. In addition, these winds frequently counteract easterly flow of locally generated winds, which allows ozone to accumulate in the urban core and eastern portion of the metro area. One other characteristic of the spring and early summer westerly winds is that they frequently transport ozone and its precursors from the west into Arizona. Aside from wildfire caused exceptional events, this complicates assessing how much locally generated emissions contribute to ozone exceedances, particularly in April and May, before temperature and sunlight reach their annual peaks. Stationary Source Emissions Data and Emission Estimation Methods In addition to favorable conditions for ozone formation, emissions of precursors are increased during the hot summer months. This is illustrated by emissions inventory data submitted to the MCAQD. In Maricopa County, stationary sources submit emissions inventory data for the following quarters: • Winter (December – February) • Spring (March – May) • Summer (June – August) • Fall (September – November) MCAQD began collecting emissions inventory data based on these reporting periods after EPA asked MCAQD to recalculate ozone season-day emissions for the 2011 periodic emissions inventory (PEI) using data from June through August. There has been some discussion by EPA as to whether it would be possible to use a numerical scheme to calculate ozone season-day emissions for MaySeptember or May – July from the existing quarterly reporting intervals described above. This is problematic because actual emissions data for May and September are not available. Emissions data for these months would have to be calculated as a percentage of the spring and fall quarters. Estimating emissions for May and September in this manner would introduce unnecessary error into the calculation. The amount of error could be significant, because emissions are expected to be lower in March, Aril, October, and November than in May or September. As a result, the calculated ozone season-day emissions will be biased low if data from May and/or September is included. To highlight this point, the MCAQD estimated ozone season-day emissions of NOX and VOC from Title V facilities for May – July 2017 and May – September 2017. The results confirm that the highest season-day emissions occur between June and August. The results do not suggest that there would be any benefit to recalculating ozone season-day emissions using data from May 2017 or September 2017. Table 5. NOX and VOC emissions (tons) from Title V facilities in Maricopa County by reporting period and estimation period (2017). Reporting Periods Estimation Periods Dec – Feb Mar – May Jun – Aug Sep – Nov May – Jul * May – Sept** TV – NOX 370 453 1,085 735 874 1,330 Emissions TV – VOC 188 198 219 194 212 284 Emissions * Emissions from May – July were estimated by adding one-third of the emissions reported for the spring quarter (March – May) to two-thirds of the emissions reported for the summer quarter (June – August). ** Emissions from May – September were estimated by adding one-third of the emissions reported for the spring quarter (March – May) and one third of the emissions reported for the fall quarter (September – November) to the total emissions reported for the summer quarter (June – August). Table 6. Average daily NOX and VOC emissions (pounds) from Title V facilities in Maricopa County by reporting period and estimation period (2017). Reporting Periods Estimation Periods Dec – Feb Mar – May Jun – Aug Sep – Nov May – Jul May – Sept Average daily NOX 8,195 9,848 23,587 16,153 19,007 17,385 Emissions Average daily VOC 4,173 4,301 4,759 4,273 4,607 3,709 Emissions Mobile Source Emissions Data Mobile source emissions in Maricopa County (excluding locomotive emissions) were estimated using the MOVES2014b and AEDT 2d models. The Maricopa Association of Governments provided monthly estimates of NOX and VOC emissions from each mobile source category for 2017. Monthly NOX and VOC emissions generally remain steady throughout the year. During 2017, NOX emissions from mobile sources (excluding locomotives) averaged 119 ± 4.5 tons per day, while VOC emissions from this category averaged 71 ± 8.8 tons per day. When data from May and September is included, ozone season-day emissions of NOX and VOC decrease by 6.6 tons per day and 9.4 tons per day, respectively. Emissions from locomotives were excluded because emissions from this category are calculated on an annual basis (not by months or seasons). Table 7. Ozone season-day emissions (tons) of NOX and VOC from mobile sources (excluding locomotives) in Maricopa County (2017). NOX VOC Ozone season-day emissions (June – August) 127.1 88.4 Ozone season-day emissions (May – September) 120.5 79.0 Biogenic Emissions Biogenic emissions of NOX and VOC vary widely throughout the year. Biogenic emissions are lowest in December and January, increase during the spring, peak during the hot summer months (June – August), and decrease during the fall. The magnitude of the summer increase is significant; biogenic VOC emissions in June and July of 2017 were more than double the biogenic VOC emissions that occurred in May of 2017. As a result, when data from May and September are included in the calculation, ozone season-day emissions from biogenic sources decrease by more than 237 tons per day. Table 8. Average daily biogenic emissions (pounds) of NOX and VOC by month from biogenic sources in Maricopa County (2017). NOX VOC January 562 63,780 February 1,412 170,321 March 3,113 463,502 April 3,357 598,257 May 5,330 1,160,381 June 9,593 2,547,929 July 10,698 2,383,573 August 9,586 2,041,594 September 5,573 1,110,926 October 2,740 504,920 November 1,130 177,754 December 735 80,591 Table 9. Percent increase in daily biogenic emissions of NOX and VOC compared to May (2017). June July August September NOX 74% 101% 80% 1% VOC 112% 105% 76% -7% Table 10. Ozone season-day emissions (tons) of NOX and VOC from biogenic sources in Maricopa County (2017). NOX VOC Ozone season-day emissions (June – August) 5.0 1,162 Ozone season-day emissions (May – September) 4.1 924.6 Conclusions Historical monitoring data shows that the most ozone exceedances occur during June, July, and August. In addition, the magnitude of ozone exceedances is highest during June, July, and August. These findings make sense in light of local weather and emission patterns, because the data indicates that emissions are highest during the summer months and conditions for ozone formation are most favorable during that period. These analyses indicate that calculating ozone season-day emissions using data from June through August is the most accurate and conservative approach. This approach also avoids unnecessary error that would be introduced by attempting to estimate emissions during May and/or September, and avoids using data from May when ozone transport is more likely to affect local ozone concentrations. More to the point, this approach reflects the idea that the most ozone exceedances and the highest ozone concentrations occur between June 1st and August 30th because there are increased emissions of ozone precursors, higher temperatures, and more sunlight during the summer months. All of this evidence strongly confirms that ozone seasonday emissions for the 2017 periodic emissions inventory should be calculated using data from June, July, and August of 2017.