Maricopa County Air Quality Department Phone: 602-506-6790 Email: EmissionsInventory@maricopa.gov Maricopa.gov/AQ CleanAirMakeMore.com 2020 Periodic Emissions Inventory for Ozone Precursors For Maricopa County and the Phoenix-Mesa Nonattainment Areas for the 2008 and 2015 8-Hour Ozone Standards Maricopa County Air Quality Department November 2022 2020 Periodic Emissions Inventory for Ozone Precursors Table of Contents Page i of v Table of Contents Introduction.................................................................................................................................................... 1 1.1 Overview ................................................................................................................................................ 1 1.2 Comparison Between PEIs ................................................................................................................. 1 1.3 Temporal Scope .................................................................................................................................... 3 1.4 Geographic Scope................................................................................................................................. 4 1.5 Overview of Local Demographic and Land Use Data ................................................................... 4 1.6 Emissions Overview by Source Category ......................................................................................... 6 1.7 Summary of all Source Categories.................................................................................................... 11 1.8 Agencies Responsible for the Emissions Inventory ...................................................................... 12 Point Sources................................................................................................................................................13 2.1 Introduction and Scope ..................................................................................................................... 13 2.2 Identifying Point Sources .................................................................................................................. 13 2.3 Procedures for Estimating Emissions from Point Sources .......................................................... 14 2.4 Detailed Overview of Point Source Emissions .............................................................................. 15 2.5 Emission Reduction Credits ............................................................................................................. 16 2.6 Quality Assurance/Quality Control Procedures ............................................................................ 19 2.7 Summary of All Point Source Emissions ........................................................................................ 22 2.8 References ............................................................................................................................................ 22 Nonpoint Sources ........................................................................................................................................23 3.1 Introduction and Scope ..................................................................................................................... 23 3.2 Emission Calculation Methodology ................................................................................................. 23 3.3 Emission Allocation Methodology .................................................................................................. 30 3.4 QA/QC Control Procedures ............................................................................................................ 33 3.5 Summary of Nonpoint Source Emissions ...................................................................................... 34 3.6 References ............................................................................................................................................ 43 Nonroad Mobile Sources............................................................................................................................45 4.1 Introduction......................................................................................................................................... 45 4.2 Emission Calculation Methodology ................................................................................................. 46 4.3 Emission Allocation Methodology .................................................................................................. 51 4.4 Quality Assurance Procedures .......................................................................................................... 52 4.5 Summary of Nonroad Mobile Source Emissions .......................................................................... 52 2020 Periodic Emissions Inventory for Ozone Precursors Table of Contents Page ii of v 4.6 References ............................................................................................................................................ 53 Onroad Mobile Sources ..............................................................................................................................55 5.1 Introduction......................................................................................................................................... 55 5.2 Onroad Emissions .............................................................................................................................. 55 5.3 Quality Assurance Process ................................................................................................................ 64 5.4 Summary of All Onroad Mobile Source Emissions ...................................................................... 64 5.5 References ............................................................................................................................................ 68 Biogenic Sources ..........................................................................................................................................69 6.1 Introduction......................................................................................................................................... 69 6.2 Modeling Domain............................................................................................................................... 69 6.3 Input Data............................................................................................................................................ 70 6.4 Emission Estimation .......................................................................................................................... 74 6.5 Summary of All Biogenic Source Emissions .................................................................................. 76 6.6 References ............................................................................................................................................ 77 List of Tables Table 1.5–1: Demographic profile of Maricopa County and the 2008 and 2015 ozone NAAs. ....... 5 Table 1.5–2: Acreage by land use category of Maricopa County and the 2008 and 2015 ozone NAAs. ....................................................................................................................................... 6 Table 1.6–1: Annual and season-day emissions from point sources and ERC in Maricopa County and the 2008 and 2015 8-hour ozone NAAs. ..................................................................... 7 Table 1.6–2: Annual and season-day emissions from nonpoint sources in Maricopa County. .......... 7 Table 1.6–3: Annual and season-day emissions from nonpoint sources in the 2008 8-hour ozone NAA. ......................................................................................................................................... 8 Table 1.6–4: Annual and season-day emissions from nonpoint sources in the 2015 8-hour ozone NAA. ......................................................................................................................................... 8 Table 1.6–5: Annual and season-day emissions from nonroad mobile sources in Maricopa County. .................................................................................................................................................... 9 Table 1.6–6: Annual and season-day emissions from nonroad mobile sources in the 2008 8-hour ozone NAA. ............................................................................................................................. 9 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. ................................................................... 10 Table 1.6–9: Annual and season-day emissions from biogenic sources in Maricopa County, 2008 and 2015 ozone NAAs. ........................................................................................................ 10 2020 Periodic Emissions Inventory for Ozone Precursors Table of Contents Page iii of v Table 1.7–1: Annual and season-day emissions from all sources in Maricopa County (including emission reduction credits). ................................................................................................. 11 Table 1.7–2: Annual and season-day emissions from all sources in the 2008 8-hour ozone NAA (including emission reduction credits). .............................................................................. 11 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) persons. ................ 12 Table 1.8–2: Agency contact information. ............................................................................................... 12 Table 2.2–1: Name and location of all point sources in Maricopa County ......................................... 14 Table 2.4–1: Annual and season-day emissions from point source facilities in Maricopa County and the nonattainment areas................................................................................................ 15 Table 2.5–1: Certified ERCs in the Arizona Emissions Bank (as of January 3, 2022). ..................... 17 Table 2.5–2: ERC certified by MCAQD that are not in the Arizona Emissions Bank (as of January 3, 2022). .................................................................................................................................. 18 Table 2.5–3: Potential sources of ERCs for VOC or NOX ................................................................... 18 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). ....................................... 22 Table 3.2–1: Calculation methods for all nonpoint (area) sources. ...................................................... 23 Table 3.2–2: Maricopa County burn permit activity in 2020. ................................................................ 27 Table 3.2–3: Emission and fuel loading factors for open burning. ...................................................... 27 Table 3.2–4: Prescribed fires in Maricopa County during 2020. ........................................................... 28 Table 3.2–5: Wildfire incidence, acreage burned, and material burned in 2020. ................................ 29 Table 3.3–1: Allocation method for all nonpoint sources. .................................................................... 30 Table 3.5–1: Annual and season-day emissions from all nonpoint sources in Maricopa County.... 34 Table 3.5–2: Annual and season-day emissions from nonpoint sources in the Maricopa County 2008 NAA. ............................................................................................................................. 37 Table 3.5–3: Annual and season-day emissions from nonpoint sources in the Maricopa County 2015 NAA. ............................................................................................................................. 40 Table 4.2–1: Estimation method for all nonroad mobile sources. ....................................................... 46 Table 4.2–2: Annual airport operations (by aircraft category) and related data sources ................... 48 Table 4.2–3: Aircraft type activity distribution at Chandler Municipal airport. .................................. 50 Table 4.3–1: Calculation and allocation method for nonroad mobile sources. .................................. 51 Table 4.5–1: Annual and ozone season-day emissions from nonroad mobile sources in Maricopa County..................................................................................................................................... 52 2020 Periodic Emissions Inventory for Ozone Precursors Table of Contents Page iv of v Table 4.5–2: Annual and ozone season-day emissions from nonroad mobile sources in the 2008 8hour ozone NAA. ................................................................................................................. 53 Table 4.5–3: Annual and ozone season-day emissions from nonroad mobile sources in the 2015 8hour ozone NAA. ................................................................................................................. 53 Table 5.2–1: Annual and season-day onroad mobile source emissions in Maricopa County, by road type and source type. ............................................................................................................ 59 Table 5.2–2: Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone nonattainment area for the 2008 ozone standards, by road type and source type. ..... 60 Table 5.2–3: Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone nonattainment area for the 2015 ozone standards, by road type and source type. ..... 62 Table 5.4–1: Annual and ozone season-day onroad mobile source emissions in Maricopa County, by road type............................................................................................................................ 64 Table 5.4–2: Annual and ozone season-day onroad mobile source emissions in the 8 hour ozone nonattainment area for the 2008 ozone standards, by road type. .................................. 65 Table 5.4–3: Annual and ozone season-day onroad mobile source emissions in the 8 hour ozone nonattainment area for the 2015 ozone standards, by road type. .................................. 66 Table 5.4–4: Annual and ozone season-day onroad mobile source emissions in Maricopa County, by source type. ....................................................................................................................... 66 Table 5.4–5: Annual and ozone season-day onroad mobile source emissions in the 8 hour ozone nonattainment area for the 2008 ozone standards, by source type. .............................. 66 Table 5.4–6: Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone nonattainment area for the 2015 ozone standards, by source type. .............................. 67 Table 5.4–7: Annual and ozone season-day emissions from all onroad mobile sources in Maricopa County, the 8-hour ozone nonattainment area for the 2008 ozone standards, and the 8-hour ozone nonattainment area for the 2015 ozone standards. ................................. 67 Table 6.2–1: The 4-km gridded modeling domain in the LCC coordinate system. ........................... 70 Table 6.4–1: Average daily biogenic emissions (pounds/day) by month in 2020 for Maricopa County and the 8-hour ozone nonattainment areas for the 2008 and 2015 ozone standards. ................................................................................................................................ 75 Table 6.4–2: Monthly biogenic emissions (tons/month) in 2020 for Maricopa County and the 8hour ozone nonattainment areas for the 2008 and 2015 ozone standards. .................. 76 Table 6.5–1: Annual and season-day biogenic emissions in 2020 for Maricopa County and the 8 hour ozone nonattainment areas for the 2008 and 2015 ozone standards. .................. 76 List of Figures Figure 1.2.1–1: Chart of VOC emissions (tons/year) within Maricopa County by source category in 2011, 2014, 2017, and 2020. .......................................................................................... 2 2020 Periodic Emissions Inventory for Ozone Precursors Table of Contents Page v of v Figure 1.2.2–1: Chart of NOX emissions (tons/year) within Maricopa County by source category in 2011, 2014, 2017, and 2020................................................................................................ 3 Figure 1.2.2–1: Map of Maricopa County and the 2008 and 2015 8-hour ozone NAAs. ................... 4 Figure 2.6.1–1: Data flow for annual point source emissions inventory reporting. ........................... 20 Figure 6.2–1: The WRF 4-km × 4-km grid (white), MEGAN 4-km × 4-km grid (green), the 8hour ozone nonattainment area for the 2008 ozone standard (blue), the 8-hour ozone nonattainment area for the 2015 ozone standard (blue plus yellow), and Maricopa County (grid cells within the brown boundary). ......................................... 70 Figure 6.3.2–1: 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 in 2020. .......................................................... 72 Figure 6.3.2–2: Locations of NWS and AZMET meteorological stations. ......................................... 73 Figure 6.3.2–3: Paired hourly modeled and observed data in 2020 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..................................................................................................................... 74 Figure 6.4–1: Daily biogenic emissions in 2020 and annual mean diurnal cycles of VOC, NOX, and CO emissions for Maricopa County and the 8-hour ozone nonattainment areas for the 2008 and 2015 ozone standards. ........................................................................ 75 List of Appendices Appendix A. Instructions for Reporting 2020 Annual Air Pollution Emissions ............................. A-1 Appendix B. Rule Effectiveness (RE) Studies ....................................................................................... B-1 Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County).............................C-1 Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory .......................................................................................................... D-1 Appendix E. Responsiveness Summary ..................................................................................................E-1 2020 Periodic Emissions Inventory for Ozone Precursors Page 1 of 77 Introduction 1.1 Overview This 2020 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 in ventory 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 standards. 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. 1.2.1 Volatile Organic Compounds Emissions of VOC from point, nonroad mobile, and onroad mobile sources decreased slightly in 2020 compared to previous PEI years. Biogenic VOC emissions decreased significantly compared to 2014 and 2017 but remained similar to biogenic VOC emissions estimates for the 2011 PEI year. VOC emissions from nonpoint sources increased by more than 13,000 tons, or nearly 37%, compared to the 2011, 2014, and 2017 PEI estimates. Figure 1.2–1 shows VOC emissions by source category compared to previous PEI years. 2020 Periodic Emissions Inventory for Ozone Precursors Page 2 of 77 Figure 1.2.1–1: Chart of VOC emissions (tons/year) within Maricopa County by source category in 2011, 2014, 2017, and 2020. 200,000 180,000 160,000 140,000 120,000 100,000 80,000 60,000 40,000 20,000 0 2011 2014 2017 2020 Point Nonpoint 769 1,042 1,345 1,118 36,655 36,838 36,548 50,170 Nonroad Mobile 13,060 8,288 8,215 7,364 Onroad Mobile 24,557 19,309 17,753 12,225 Biogenic 79,715 187,066 172,732 79,213 The significant increase in nonpoint VOC emissions was primarily caused by wildfires, where VOC emissions increased from 259 tons in 2017 to 13,784 tons in 2020. The Western United States was heavily impacted by multiple large wildfires in 2020, including the Bush fire that burned over 190,000 acres in Maricopa and Gila Counties. This was the fifth largest wildfire in Arizona history, and it had a tremendous impact on total VOC emissions in Maricopa County for the 2020 PEI. In addition, new methodology was used by EPA to estimate wildfire emissions for the 2020 National Emissions Inventory (NEI). This methodology is more comprehensive than what has been used for previous PEI estimates, because it considers the actual locations of fires, the density of vegetation present at fire locations, and the heat generated at each location to determine emissions from flaming and smoldering wildfires. Due to the comprehensive methods for estimating wildfire emissions, MCAQD used EPA estimates for wildfire emissions in Maricopa County for the 2020 PEI. Emissions estimates for commercial cooking and residential wood combustion also increased significantly compared to 2017. The increases in commercial cooking were due to new methodology developed by EPA for estimating emissions. The increases in emissions from residential wood combustion were observed in many states and may have been related to people spending more time at home due to the COVID-19 pandemic. Emissions from onroad mobile sources decreased significantly in 2020 compared to previous years. The downward trend in onroad mobile source emissions was expected to continue in the 2020 PEI, because newer, cleaner cars are continually added to the fleet and older cars are retired. However, the magnitude of the decrease (30%) cannot be attributed solely to fleet turnover. Rather, it is likely 2020 Periodic Emissions Inventory for Ozone Precursors Page 3 of 77 that the COVID-19 pandemic and the associated Stay Home, Stay Connected, Stay Healthy Order (Arizona Executive Order 2020-18) had a significant impact on vehicle miles traveled during 2020. The changes to biogenic emissions between 2017 and 2020 were caused by changes in meteorology, improvements to the modeling platform, and improvements to how the meteorology field used in the model was generated. 1.2.2 Nitrogen Oxides Emissions of NOX from nonroad and onroad mobile sources decreased significantly in 2020 compared to previous PEI years, while point and biogenic NOX emissions increased significantly compared to the 2017 year. Increased point source NOX emissions were largely caused by increased power generation and increased activity at several point sources located in Maricopa County. Figure 1.2–2 shows VOC emissions by source category compared to previous PEI years. Figure 1.2.2–1: Chart of NOX emissions (tons/year) within Maricopa County by source category in 2011, 2014, 2017, and 2020. 70,000 60,000 50,000 40,000 30,000 20,000 10,000 0 2011 2014 2017 2020 Point Nonpoint 1,754 1,648 2,683 4,001 5,162 5,633 5,173 5,426 Nonroad Mobile 21,907 19,143 17,432 13,570 Onroad Mobile 60,270 34,219 27,415 18,604 Biogenic 780 988 822 1,934 1.3 Temporal Scope Both annual and ozone season-day emissions were estimated for the year 2020 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. 2020 Periodic Emissions Inventory for Ozone Precursors Page 4 of 77 1.4 Geographic Scope This inventory includes emission estimates for Maricopa County and for the 2008 and 2015 8-hour ozone NAAs. Maricopa County encompasses 9,223 square miles of land area, while the 2008 ozone NAA is 5,018 square miles or about 54 percent of the Maricopa County land area, and the 2015 ozone NAA is 5,288 square miles or about 57 percent of the Maricopa County land area. The southeastern portion of the 2008 ozone NAA includes 48 square miles located within Pinal County (0.96% of the 2008 NAA). The southeastern portion of the 2015 ozone NAA includes 296 square miles located within Pinal County (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. Figure 1.2.2–1: Map of Maricopa County and the 2008 and 2015 8-hour ozone NAAs. 1.5 Overview of Local Demographic and Land Use Data Many of the emissions estimates generated in this report were calculated using demographic and land use data provided by the Maricopa Association of Governments (MAG). These data were used to apportion and/or scale Maricopa County emissions estimates to the 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 2020 Periodic Emissions Inventory for Ozone Precursors Page 5 of 77 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 the percentage of single and multi-family housing units for calendar year 2020 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 1.2.2–1. The population of NAAs may exceed the population of Maricopa County because the boundaries of the nonattainment areas include portions of other counties Table 1.5–1: Demographic profile of Maricopa County and the 2008 and 2015 ozone NAAs. Demographic Variable Maricopa County 2008 Ozone NAA 2015 Ozone NAA Population: Resident population 4,436,908 4,474,633 4,421,737 Non-resident population 468,352 470,767 456,644 Total population 4,905,260 4,945,400 4,878,381 Employment: Retail 490,062 487,306 489,894 Office 589,042 588,571 588,778 Public 139,475 139,806 141,448 Other 266,859 264,855 266,087 Total commercial/institutional* 1,485,438 1,480,538 1,486,207 Industrial 364,488 362,949 723,842 Construction 59,554 59,160 59,330 Work at home 134,235 134,387 135,764 Not site-based 192,632 192,356 193,496 Total employment 2,236,347 2,229,390 2,598,639 Housing units Single family 80% 80% 80% Multi-family 20% 20% 20% *Retail, office, public, and other employment comprise the commercial/institutional employment sector. 1.5.2 Land Use Data MAG provided 2020 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. 2020 Periodic Emissions Inventory for Ozone Precursors Page 6 of 77 Table 1.5–2: NAAs. Acreage by land use category of Maricopa County and the 2008 and 2015 ozone Land Use Residential Commercial Industrial Office Tourist and Visitor Accommodations Educational Institutional Public Facilities, Military, Special Events Landfill, Other Employment Solar Generating Stations Transportation and Parking Railroad Airports General/Active Open Space Golf Courses Passive/Restricted Open Space/Water Multiple Use/Business Park Agriculture Abandoned Agriculture Dairy/Feedlot Vacant Developing Residential Developing Non-residential Total Maricopa County 490,771 37,770 37,689 9,634 3,446 21,894 7,989 44,420 35,559 8,523 73,948 6,388 11,062 193,864 31,529 3,469,647 361 252,256 31,018 5,528 1,115,028 13,633 903 5,902,860 2008 8-Hour Ozone NAA 488,162 37,213 37,607 9,633 2,815 21,940 8,035 42,709 35,209 3,878 66,099 3,430 9,850 193,890 30,988 1,304,068 361 140,737 18,606 4,563 737,085 13,606 903 3,211,387 2015 8-Hour Ozone NAA 506,971 37,606 37,710 9,654 2,822 22,556 8,177 43,217 35,738 3,878 66,796 3,571 9,850 194,817 32,485 1,360,070 361 149,678 19,316 4,600 819,134 14,683 904 3,384,593 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 U.S. Environmental Protection Agency (EPA) Annual Emissions Reporting Requirements (AERR) rule to define which stationary sources are reported 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 and emission reduction credits (ERC) 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 2020 Periodic Emissions Inventory for Ozone Precursors Page 7 of 77 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 and ERC in Maricopa County and the 2008 and 2015 8-hour ozone NAAs. Annual emissions Season-day emissions (tons/year) (pounds/day) Source Category VOC NOX CO VOC NOX CO Facility emissions 716.7 3,746.4 1,692.4 4,231 31,144 11,604 ERC in Arizona Emissions Bank 312.7 84.2 14.3 1,713 461 78 ERC not in Arizona Emissions Bank 14.9 148.3 82 813 0 Potential ERCs 73.3 22.1 402 121 0 Total 1,117.6 4,001.0 1,706.7 6,447 32,539 11,682 1.6.2 Nonpoint 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 have the potential to release significant amounts of an air 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. Table 1.6–2: Annual and season-day emissions from nonpoint sources in Maricopa County. Season-day emissions Annual emissions (tons/year) (pounds/day) Source Category Fuel combustion Industrial processes Miscellaneous nonpoint sources Solvent use Volatile organic liquid storage and transport Waste treatment and disposal Total nonpoint VOC 2,033.0 2,019.3 15,802.5 NOX 4,147.0 80.7 1,166.7 CO 13,088.9 1,622.6 59,327.2 27,401.5 2,819.7 VOC 1,365 11,920 20,922 NOX CO 22,839 11,248 407 8,753 21,746 1,147,973 155,530 15,588 94.0 31.5 193.9 695 184 1,440 50,170.1 5,425.8 74,232.6 206,021 45,176 1,169,414 2020 Periodic Emissions Inventory for Ozone Precursors Page 8 of 77 Table 1.6–3: NAA. Annual and season-day emissions from nonpoint sources in the 2008 8-hour ozone Annual emissions (tons/year) Source Category Fuel combustion Industrial processes Miscellaneous nonpoint sources Solvent use Volatile organic liquid storage and transport Waste treatment and disposal Total nonpoint Table 1.6–4: NAA. VOC 2,032.8 2,017.9 15,204.2 NOX 4,144.0 72.2 1,155.5 Season-day emissions (pounds/day) CO 13,087.0 1,633.2 58,912.1 27,474.1 2,280 VOC 1,361 11,909 277,794 NOX 22,781 403 21,539 CO 11,219 8,817 58,703 155,939 12,638 87.0 28.2 123.4 774 224 2,145 49,096.0 5,399.9 73,755.7 460,416 44,947 80,885 Annual and season-day emissions from nonpoint sources in the 2015 8-hour ozone Source Category Fuel combustion Industrial processes Miscellaneous nonpoint sources Solvent use Volatile organic liquid storage and transport Waste treatment and disposal Total nonpoint Annual emissions (tons/year) VOC 2,084.1 2,034.7 15,029.9 NOX 4,184.1 72.3 1,141.7 Season-day emissions (pounds/day) CO 13,409.2 1,673.3 57,939.4 28,114.7 2,294.7 VOC 1,368 12,002 272,911 NOX 22,895 403 21,223 CO 11,276 9,035 57,889 159,553 12,719 89.6 28.6 132.8 804 232 2,306 49,647.7 5,426.7 73,154.7 459,356 44,753 80,506 1.6.3 Nonroad Mobile Sources Nonroad mobile sources include off-highway vehicles and engines that move or are moved within a 12-month period. The nonroad mobile source category includes airport ground support equipment (GSE) and auxiliary power units (APU) 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 8hour ozone NAAs, respectively. A detailed breakdown of emissions calculations for each source category is contained in Chapter 4. 2020 Periodic Emissions Inventory for Ozone Precursors Page 9 of 77 Table 1.6–5: Annual and season-day emissions from nonroad mobile sources in Maricopa County. Annual emissions Season day emissions (tons/year) (pounds/day) Category VOC NOX CO VOC NOX CO Agricultural 22.6 230.6 238.9 196 1,982 2,108 Airport GSE+APUs 33.9 171.5 931.7 159 797 4,426 Commercial 1,005.3 801.7 28,273.6 6,815 4,846 189,413 Construction 1,487.6 7,354.7 14,977.7 10,340 50,572 106,856 Industrial 122.8 862.1 3,407.9 780 5,113 22,118 Lawn and garden 2,746.6 490.1 47,865.2 26,043 4,232 492,237 Pleasure craft 173.9 65.4 753.3 3,229 1,634 19,497 Railway maintenance 1.0 5.0 14.5 7 34 104 Recreational 453.4 45.7 5,397.5 5,515 513 70,275 Aircraft 1,263.7 2,413.4 8,302.9 6,123 12,041 40,195 Locomotives 52.8 1,129.3 221.8 289 6,171 1,212 Total 7,363.6 13569.5 110,385.0 59,496 87,935 948,441 Table 1.6–6: ozone NAA. Annual and season-day emissions from nonroad mobile sources in the 2008 8-hour Category Agricultural Airport GSE+APUs Commercial Construction Industrial Lawn and garden Pleasure craft Railway maintenance Recreational Aircraft Locomotives Total Table 1.6–7: ozone NAA. Annual emissions (tons/year) VOC NOX CO 12.6 128.7 133.3 33.4 169.9 917.4 990.4 789.9 27,856.4 1,477.8 7,306.1 14,878.6 122.5 860.2 3,400.5 2,685.4 479.5 46,803.0 173.9 65.4 753.3 0.6 2.7 7.8 242.4 33.0 4,345.1 1,237.6 2,401.2 8,151.8 42.4 885.7 170.8 7,019.0 13,122.3 107,418.0 Season day emissions (pounds/day) VOC NOX CO 109 1,106 1,176 156 788 4,348 6,714 4,774 186,619 10,272 50,237 106,149 778 5,102 22,069 25,457 4,139 481,170 3,229 1,634 19,497 4 18 56 2,957 366 56,676 5,981 11,975 39,373 232 4,840 933 55,889 84,979 437,378 Annual and season-day emissions from nonroad mobile sources in the 2015 8-hour Category Agricultural Airport GSE+APUs Commercial Construction Industrial Annual emissions (tons/year) VOC NOX CO 13.4 136.8 141.8 33.4 169.9 917.4 1,000.9 798.2 28,150.7 1,482.0 7,327.1 14,921.4 122.8 862.6 3,409.8 Season day emissions (pounds/day) VOC NOX CO 116 1,176 1,251 156 788 4,348 6,785 4,825 188,590 10,301 50,381 106,454 780 5,116 22,130 2020 Periodic Emissions Inventory for Ozone Precursors Page 10 of 77 Category Lawn and garden Pleasure craft Railway maintenance Recreational Aircraft Locomotives Total Annual emissions (tons/year) VOC NOX CO 2,779.6 494.9 48,420.7 176.5 66.4 764.5 0.6 2.8 8.1 257.4 34.7 4,570.6 1,237.6 2,401.2 8,151.8 43.0 898.4 173.6 7,147.2 13,193.0 109,630.4 Season day emissions (pounds/day) VOC NOX CO 26,376 4,276 498,467 3,277 1,659 19,787 4 19 58 3,140 386 59,615 5,981 11,975 39,373 235 4,909 948 57,151 85,510 941,021 1.6.4 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 Season day emissions (tons/year) (pounds/day) Geographic Area VOC NOX CO VOC NOX CO Maricopa County 12,225.3 18,604.8 170,377.8 84,195 107,898 1,213,516 2008 ozone NAA 12,218.1 17,862.9 168,895.8 84,231 103,905 1,202,996 2015 ozone NAA 12,472.5 18,053.2 171,293.0 86,023 105,043 1,219,952 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. A detailed description of emissions methodology is contained in Chapter 6. Table 1.6–9 summarizes annual and season-day emissions from biogenic sources in Maricopa County and the 2008 and 2015 8-hour ozone NAAs. Table 1.6–9: Annual and season-day emissions from biogenic sources in Maricopa County, 2008 and 2015 ozone NAAs. Annual emissions Season day emissions (tons/year) (pounds/day) Geographic Area VOC NOx CO VOC NOx CO Maricopa County 79,213.2 1,934.0 4,989.1 1,034,349 13,799 64,132 2008 ozone NAA 54,361.1 1,397.0 3,507.5 716,387 9,903 45,560 2015 ozone NAA 57,372.8 1,477.3 3,707.3 755,606 10,484 48,132 2020 Periodic Emissions Inventory for Ozone Precursors Page 11 of 77 1.7 Summary of all Source Categories Tables 1.7–1, 1.7–2, and 1.7–3 provide total annual and season-day emissions from all source categories in Maricopa County and the 2008 and 2015 ozone NAAs, respectively. Tables 1.7–1 through 1.7–4 show a breakdown of the 2020 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 Season day emissions (tons/year) (pounds/day) Source Category VOC NOx CO VOC NOx CO Point 1,117.6 4,001.0 1,706.7 6,446 32,539 11,682 Nonpoint 50,170.1 5,425.8 74,232.6 206,021 45,176 1,169,414 Nonroad mobile 7,363.6 13,569.5 110,385.0 59,496 87,935 948,441 Onroad mobile 12,225.3 18,604.8 170,377.8 84,195 107,898 1,213,516 Biogenic 79,213.2 1,934.0 4,989.1 1,034,349 13,799 64,132 Total 150,089.8 43,535.1 361,691.2 1,393,697 287,347 3,407,185 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 Season day emissions (tons/year) (pounds/day) Source Category VOC NOx CO VOC NOx CO Point 1,117.6 4,001.0 1,706.7 6,446 32,539 11,682 Nonpoint 49,096.0 5,399.9 73,755.7 460,416 44,947 80,885 Nonroad mobile 7,019.0 13,122.3 107,418.0 55,889 84,979 437,378 Onroad mobile 12,218.1 17,862.9 168,895.8 84,231 103,905 1,202,996 Biogenic 54,361.1 1,397.0 3,507.5 716,387 9,903 45,560 Total 123,811.9 41,783.1 355,283.7 1,323,369 276,273 1,778,501 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 Season day emissions (tons/year) (pounds/day) Source Category VOC NOx CO VOC NOx CO Point 1,117.6 4,001.0 1,706.7 6,446 32,539 11,682 Nonpoint 49,647 5,426.7 73,154.7 459,356 44,753 80,506 Nonroad mobile 7,147.2 13,193.0 109,630.4 57,151 85,510 941,021 Onroad mobile 12,472.5 18,053.2 171,293.0 86,023 105,043 1,219,952 Biogenic 57,372.8 1,477.3 3,707.3 755,606 10,484 48,132 Total 127,757.8 42,151.2 359,492.1 1,364,582 278,329 2,301,293 2020 Periodic Emissions Inventory for Ozone Precursors Page 12 of 77 1.8 Agencies Responsible for the Emissions Inventory MCAQD has primary responsibility for preparing and submitting the 2020 Periodic Emissions Inventory for ozone precursors for Maricopa County and the 2008 and 2015 ozone nonattainment areas. Point and area source, and locomotive emission estimates were prepared by MCAQD. MAG prepared the emission estimates for nonroad mobile sources (excluding locomotives), onroad mobile sources, and biogenic 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) persons. Chapter Author(s) QA/QC Person(s) Point sources Kristi Beck, MCAQD Eric Raisanen, MCAQD and Joshua Uebelherr, MCAQD Nonpoint sources Eric Raisanen, MCAQD Kristi Beck, MCAQD and Joshua Uebelherr, MCAQD Matt Poppen, MAG Matt Poppen, MAG Nonroad mobile sources Taejoo Shin, MAG Matt Poppen, MAG Onroad mobile sources Taejoo Shin, MAG Matt Poppen, MAG Biogenic sources Taejoo Shin, MAG Matt Poppen, MAG Table 1.8–2: Agency contact information. Agency Phone Number MCAQD 602-506-6790 MAG 602-254-6300 Email Address EmissionsInventory@maricopa.gov 2020 Periodic Emissions Inventory for Ozone Precursors Page 13 of 77 Point Sources 2.1 Introduction and Scope This inventory of ozone precursors (VOC, NOX, and CO) is one of two 2020 periodic emissions inventory reports being prepared to meet EPA reporting requirements. This inventory has been developed concurrently with a similar inventory for particulate matter less than 10 microns in diameter (PM10) to comply with the requirements for nonattainment areas in Title 40, Part 51 of the Code of Federal Regulations (CFR). In addition to preparing a PEI for the 8-hour ozone NAA, the federal AERR rule (EPA, 2015) requires that state and local agencies prepare emissions estimates for each county and submit that data electronically for inclusion in the National Emissions Inventory (NEI) for calendar year 2020. 2.2 Identifying Point Sources 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., for CO, VOC, NOX, SO2, PM2.5, PM10, lead and NH3 but without regard to emissions of HAPs… this 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 (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 2020. Tables 2.5–1, 2.5– 2, and 2.5–3, actual and potential emission reduction credits for the ozone NAAs, while Table 2.7–1 summarizes point source emission totals for both Maricopa County and the 8-hour ozone NAAs. 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 inventory, permitting, and compliance tracking (IMPACT) database. A total of 21 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. Table 2.2–1 contains an alphabetical listing of all point sources, including a unique facility identification number, North American Industry Classification System code (NAICS), facility name, and physical address. 2020 Periodic Emissions Inventory for Ozone Precursors Page 14 of 77 Table 2.2–1: Name and location of all point sources in Maricopa County Facility ID NAICS Facility name Address F000041 221112 APS Ocotillo Power Plant 1500 E. University Dr. City ZIP Tempe 85281 F000040 221112 APS Redhawk Generating Facility 11600 S. 363rd Ave. Arlington 85322 F000038 221112 APS West Phoenix Power Plant 4606 W. Hadley St. Phoenix F002126 221112 Arlington Valley LLC 39027 W. Elliot Rd. Arlington 85322 F000441 562212 Butterfield Station Facility 40404 S. 99th Ave. Mobile 85239 F002411 332312 CMC Steel Fabricators Inc. 11444 E. Germann Rd. Mesa 85212 F001759 221112 Gila River Power Station 1250 E. Watermelon Rd. Gila Bend 85337 F001529 336412 Honeywell International Inc. 111 S. 34th St. Phoenix F000701 334413 Intel Corp-Ocotillo Campus 4500 S. Dobson Rd. Chandler 85248 F000687 928110 Luke AFB - 56th Fighter Wing 14002 W. Marauder St. Glendale F001522 221112 Mesquite Generating Station 37625 W. Elliot Rd Arlington 85322 F001504 221112 New Harquahala Generating Co. 2530 N. 491st Ave. Tonopah 85354 F002470 326140 New Wincup Holdings Inc. 7980 W. Buckeye Rd. Phoenix 85043 F001644 562212 Northwest Regional Landfill 19401 W. Deer Valley Rd. Surprise 85387 F001653 337122 Oak Canyon Manufacturing Inc. 3021 N. 29th Dr. Phoenix 85017 F000160 332431 Rexam Beverage Can Company 211 N. 51st Ave. Phoenix 85043 F002681 424710 SFPP LP Phoenix Terminal 49 N. 53rd Ave. Phoenix 85043 F000014 221112 SRP Agua Fria Generating Station 7302 W. Northern Ave. Glendale 85303 F000015 221112 SRP Kyrene Generating Station 7005 S. Kyrene Rd. Tempe 85283 F000013 221112 SRP Santan Generating Station 1005 S. Val Vista Rd. Gilbert 85296 F000420 337122 Trendwood Inc. 2402 S. 15th Ave. Phoenix Note: All facilities listed above are also located within the 2008 and 2015 ozone NAAs. 85007 85043 85034 85309 2.3 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 sources, material mass balance methods were used for determining emissions. When available, emissions were estimated using Continuous Emissions Monitoring Systems (CEMS), emission factors from performance tests, AP–42 emission factors and equations, engineering calculations, or manufacturers’ specifications. MCAQD requires 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) to electronically submit annual emissions inventories through the AQD Online Portal. The AQD Online Portal is a Cross Media Electronic Reporting Rule (CROMERR) certified system. All facilities are required to 2020 Periodic Emissions Inventory for Ozone Precursors Page 15 of 77 report detailed information on stacks, control devices, operating schedules, and process-level operational and emissions data for each process that emits regulated air p ollutants (excluding insignificant and trivial activities). Detailed instructions, with examples and explanations, are provided to show facility representatives how to report emissions in the AQD Online Portal. A copy of the 2020 Emissions Inventory Instructions is included in Appendix A. After a facility has submitted an emissions inventory to MCAQD, emissions inventory staff review the submittal for accuracy and completeness. This ensures that facilities are reporting emissions for all processes and using appropriate methods and emission factors for each process. Staff uses CEMS data, performance test reports, AP–42, the Factor Information and REtrieval (webFIRE) software, and other EPA documentation to evaluate emission factors. Control efficiencies are determined by source tests when available, or by AP–42 factors, engineering calculations, or manufacturers’ specifications. MCAQD has conducted annual emissions surveys for permitted facilities since 1988, and MCAQD’s IMPACT database for inventories, monitoring, permitting, and compliance tracking contains numerous automated quality assurance/quality control checks for data validation. 2.3.1 Application of Rule Effectiveness Rule effectiveness 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 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 using a control device, rule effectiveness was quantified separately for Title V and non-Title V sources. An overall rule effectiveness value of 89.48% for Title V facilities was calculated and applied to 2020 process-level emissions estimates. 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 21 facilities that have been categorized as point sources. 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 per year and 0.5 pounds per day, respectively). Table 2.4–1: Annual and season-day emissions from point source facilities in Maricopa County and the nonattainment areas. Annual emissions Season-day emissions (tons/year) (pounds/day) Facility ID Facility name VOC NOX CO VOC NOX CO F000041 APS Ocotillo Power Plant 1.9 65.6 18.8 11 351 107 F000040 APS Redhawk Generating 19.8 170.9 148.8 137 1135 983 Facility 2020 Periodic Emissions Inventory for Ozone Precursors Page 16 of 77 Annual emissions Season-day emissions (tons/year) (pounds/day) VOC NOX CO VOC NOX CO 26.6 1,484.1 114.0 158 9,360 588 Facility ID Facility name F000038 APS West Phoenix Power Plant F002126 Arlington Valley LLC 0.4 58.9 54.2 3 443 402 F000441 Butterfield Station Facility * 13.3 18.3 24.9 73 101 137 F002411 CMC Steel Fabricators Inc. * 38.0 47.4 680.1 209 260 3,737 F001759 Gila River Power Station 8.8 355.3 44.1 58 2,353 296 F001529 Honeywell International Inc 24.9 36.7 11.3 156 211 64 F000701 Intel Corp-Ocotillo 74.0 80.7 116.8 407 443 642 Campus F000687 Luke AFB - 56th Fighter * 8.7 4.4 3.6 61 25 21 Wing F001522 Mesquite Generating 14.3 225.7 24.5 92 1,451 158 Station F001504 New Harquahala 0.0 0.4 0.1 0 2 0 Generating Co. F002470 New Wincup Holdings Inc. 93.3 2.8 0.0 518 15 0 F001644 Northwest Regional * 30.9 26.0 104.1 170 143 572 Landfill F001653 Oak Canyon Manufacturing 78.3 0.0 0.0 430 0 0 Inc. F000160 Rexam Beverage Can * 113.5 4.4 3.7 624 24 20 Company F002681 SFPP LP Phoenix Terminal 112.0 4.1 9.7 617 30 58 F000014 SRP Agua Fria Generating 10.1 738.1 154.4 158 11,633 2,408 Station F000015 SRP Kyrene Generating 1.8 50.7 5.1 12 318 33 Station F000013 SRP Santan Generating 12.7 371.1 173.9 103 2,845 1,376 Station F000420 Trendwood Inc. 33.1 0.0 0.0 254 0 0 Total 716.7 3746.4 1,692.4 4,250 31,144 11,604 * = 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 permit issuance. 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 purpose of acquiring emission reduction credits is to allow an area to move towards attainment of the NAAQS while still allowing some economic growth. 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 2020 Periodic Emissions Inventory for Ozone Precursors Page 17 of 77 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 company (the entity which currently owns the ERC) and place name (the source that generated the ERC). Table 2.5–1: Certified ERCs in the Arizona Emissions Bank (as of January 3, 2022). ERC (tons/year) Reduction Company name Place name date VOC NOX CO Freescale Broadway 101 Commerce Park 3/1/2004 9.1 6.8 14.3 Semiconductor Inc Intel Corporation Broadway 101 Commerce Park 3/1/2004 8 3 Intel Corporation Bang Energy 3/4/2005 80 Intel Corporation Golden Eagle Manufacturing, 11/30/2007 17.6 LLC Intel Corporation Penn Athletic Products 3/6/2009 98.33 4 Division Intel Corporation South Apache 11/30/2011 9.9 Intel Corporation Phoenix Brick Yard 4/30/2012 3 Intel Corporation DLS Precision Fab LLC dba 7/1/2012 17.4 Di-Matrix Intel Corporation Thornwood Furniture Mfg. Inc 10/8/2012 53.1 Intel Corporation Cemex USA 2/25/2013 7.5 Intel Corporation Saint-Gobain Glass Corp 7/1/2013 9.9 Intel Corporation AP Industrial 7/1/2014 8.4 Intel Corporation Southwest Airlines 6/1/2016 2 Maintenance Hangar Intel Corporation Hydro Extrusion Fabrication 11/30/2018 6.5 Center Intel Corporation Bryant Industries 12/30/2018 4.4 Intel Corporation 7th Avenue Transfer Station 1/31/2019 4 Intel Corporation Granite Express Pioneer 8/1/2021 7.2 Intel Corporation San Tan Transfer Station 8/25/2021 18.3 Intel Corporation White Tank Transfer Station 8/25/2021 4.1 Intel Corporation Deer Valley Transfer Station 8/25/2021 11.2 Intel Corporation CalPortland New River Plant 9/30/2021 3.2 Total 312.7 84.2 14.3 Table 2.5–2 provides a list of emission reduction credits for VOC, NOX, and CO that have been certified by MCAQD but are not listed in the Arizona Voluntary Emissions Bank. ERC are listed by the facility that generated the ERC. 2020 Periodic Emissions Inventory for Ozone Precursors Page 18 of 77 Table 2.5–2: 3, 2022). ERC certified by MCAQD that are not in the Arizona Emissions Bank (as of January Permit Number 010233 090003 140090 P0008262 P0008273 P0008276 P0008285 P0008311 P0008352 P0008353 P0008354 P0008363 P0008364 P0008365 P0008366 P0008367 P0008368 P0008369 P0008370 P0008371 P0008372 P0008378 Total Facility name All-Pro Finishes (Closed) Phoenix San-Man Inc (Closed) Marathon (Closed) Wood Unlimited Custom Landscape – Big Horn Custom Landscape – Turner Bartlett Lake Marina Mayo Clinic Hospital JBS – Tolleson Kilauea Crushers Inc – Picacho Kilauea Crushers Inc – Estrella Superstition Crushing Rummel – Deer Valley Vulcan Materials; Litchfield Landfill Cemex – Indian School Pioneer – Hassayampa Superstition Crushing - Table Mesa Pit Vulcan Materials – Indian School Rummel – Verrado Granite Construction – Tangerine Vulcan Sahuarita CalPortland – Orange Grove Maxus Construction Materials ERC (tons/year) VOC NOX CO 8.4 9.9 6.5 7.4 6.4 5.4 16.9 3.5 7.1 12.7 16.3 51.8 14.9 10.9 148.3 0.0 Several facilities have been identified as potential sources of ERCs for NOX or VOC, in addition to those listed in Tables 2.5–1 and 2.5–2. The facilities listed in Table 2.5–3 are provided here to maintain the availability of these emissions in this periodic inventory if sufficient documentation can be secured to certify the emissions reductions. Table 2.5–3: Facility ID F005078 F005186 F006150 F004698 F005156 Potential sources of ERCs for VOC or NOX. Facility name Jabil Artisan Natural Stone Products LLP BBB Industries, LLC Wells Cargo Inc./Haulmark Industries Inc. Preferred Packaging and Container City, ZIP Tempe, 85281 Phoenix, 85034 Phoenix, 85031 Phoenix, 85043 Potential ERCs (tons/year) VOC NOX 8.5 7.8 7.8 6.0 Phoenix, 85009 4.4 2020 Periodic Emissions Inventory for Ozone Precursors Page 19 of 77 Facility ID F004738 F004695 F004376 F004484 F001741 F004953 F005317 F000523 F004509 F000440 F002811 F003169 F003174 F003385 F002791 Total Facility name Wickenburg Oil Company LLC American Case and Pedestal Mfg. Co. Heraeus Materials Technology North Ameri Redstone Industries, Inc. Biltmore Shutters Inc Benchmark Electronics Phoenix, Inc. Gro-Well Brands Inc. Southwest Airlines Opt Co Century Graphics LLC Imperial Woodworking LLC R and G Custom Crafting LLC Mountain View Custom Cabinets, Inc. Senergy Petroleum, LLC Big Surf Waterpark City, ZIP Wickenburg, 85390 Phoenix, 85009 Chandler, 85226 Surprise, 85379 Phoenix, 85007 Phoenix, 85023 Phoenix, 85009 Phoenix, 85034 Phoenix, 85120 Phoenix, 85017 Phoenix, 85019 Phoenix, 85009 Phoenix, 85027 Mesa, 85210 Tempe, 85281 Potential ERCs (tons/year) VOC NOX 4.2 4.0 3.3 2.9 2.8 2.1 3.0 2.7 2.0 8.9 2.8 0.1 73.2 8.3 6.0 5.2 2.6 19.5 2.6 Quality Assurance/Quality Control Procedures 2.6.1 Emission Inventory Preparation and Data Collection The MCAQD's Emissions Inventory (EI) Unit annually collects point source criteria air pollutant emission data from sources in the County. MCAQD annually reviews EPA guidance, documents from the Emissions Inventory Improvement Program (EIIP), and other source materials to ensure that the most current emission factors and emission calculation methods are used for each emissions inventory. Each January, the EI Unit enables emissions reporting and sends an email notification to all contacts for facilities that are required to submit an emissions inventory. The email notification includes a link to detailed instructions for completing the forms. (A copy of these instructions is included as Appendix A). Facility contacts then log into the AQD Online Portal and update their facility inventory (equipment list) and complete their emissions inventory. The EI Unit holds numerous workshops each spring to explain reporting requirements and how to complete an emissions inventory in the AQD Online Portal. The general data flow for data collection and inventory preparation is shown in Figure 2.6.1–1. 2020 Periodic Emissions Inventory for Ozone Precursors Page 20 of 77 Figure 2.6.1–1: Data flow for annual point source emissions inventory reporting. 2.6.2 Emissions Reporting in the AQD Online Portal Facility representatives create an EPA Shared CROMERR Services (SCS) Electronic Signature and MCAQD grants access to the AQD Online Portal. Emissions inventory preparers log into the AQD Online Portal and create an emissions inventory. The emissions inventory consists of three tasks. First, the preparer will update their contact list. Second, the preparer will update the facility inventory (equipment list). Then, the preparer will report emissions for all processes (except for processes that are below reporting requirements). After the facility representative prepares the emissions inventory, it must be validated prior to submission. During validation, quality control (QC) checks are performed, including: 2020 Periodic Emissions Inventory for Ozone Precursors Page 21 of 77 • • • • Throughput, operating schedule, operating hours, and seasonal percentages are entered for every emissions process. Emissions of all criteria air pollutants are reported for all emissions processes where throughput and annual hours of operation are not zero. Attachments are provided for any emissions inventory where emissions are calculated outside of the AQD Online Portal. The design of the AQD Online Portal prevents the selection of invalid source classification codes and NAICS codes. Once an emissions inventory has been successfully validated, it can be electronically signed and submitted. Title V emissions inventories must be electronically signed and submitted by a responsible official. To electronically sign and submit the emissions inventory, the certifier must enter their password and correctly answer a security question. 2.6.3 Emissions Inventory Review and Processing Submitted emissions inventories are received in the IMPACT database and a workflow is automatically created for each emissions inventory that is submitted. IMPACT automatically generates an invoice for Title V emissions inventories. Emissions inventory workflows are assigned to staff who compare the emissions inventory to the permit and the permit technical support to document. Staff verify that emissions were reported for all processes listed in the operating permit, and that accurate emission factors and calculation methods were used to estimate emissions. If confidential business information (CBI) is reported, staff verify that it was reported correctly. For processes that are marked as CBI, throughput and emission factors are not transmitted to EPA. If the emissions inventory is accurate and complete, it is approved in IMPACT and MCAQD notifies the facility contacts. If an emissions inventory is inaccurate or incomplete, MCAQD notifies the facility contacts that a revised emissions inventory must be submitted. When a revised emissions inventory is received, the original submission is marked as invalid, and the revised emissions inventory is reviewed for accuracy and completeness. To prepare the inventory for submittal to the NEI, data from approved point source emissions inventories is exported from IMPACT to staging tables that adhere to the EPA’s Consolidated Emissions Reporting Schema (CERS). MCAQD uses EPA’s Virtual Exchange Services (VES) to automatically transfer data from the staging tables to EPA’s emissions inventory system (EIS). If EIS identifies any errors in the submission, the data in the staging tables is exported to an eXtensible markup language (XML) file and EPA’s bridge tool is used to correct errors and generate a corrected XML file. The corrected XML file is submitted to EIS. 2.6.4 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 used 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 2020 Periodic Emissions Inventory for Ozone Precursors Page 22 of 77 submitted to MCAQD for the 2020 reporting period for missing and questionable data and by checking the accuracy and reasonableness of all emissions calculations made for such reports. 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 certified ERC and potential ERC listed above in Tables 2.5–1, 2.5–2, and 2.5–3. All point sources in Maricopa County are located within the 2008 and 2015 ozone nonattainment areas. 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 Season-day emissions (tons/year) (pounds/day) Source Category VOC NOX CO VOC NOX CO Facility emissions 716.7 3,746.4 1,692.4 4,231 31,144 11,604 ERC in Arizona Emissions 312.7 84.2 14.3 1,713 461 78 Bank ERC not in Arizona Emissions 14.9 148.3 82 813 0 Bank Potential ERCs 73.3 22.1 402 121 0 Total 1,117.6 4,001.0 1,706.7 6,447 32,539 11,682 2.8 References EPA, 2008. Air Emissions Reporting Requirements. 73 FR 76539 (December 17, 2008). https://federalregister.gov/a/E8-29737 EPA, 2015. Revisions to the Air Emissions Reporting Requirements: Revisions to Lead (Pb) Reporting Threshold and Clarifications to Technical Reporting Details. 80 FR 8787 (February 19, 2015). https://federalregister.gov/a/2015-03470 2020 Periodic Emissions Inventory for Ozone Precursors Page 23 of 77 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 EPA guidance materials were evaluated to identify area source categories meriting inclusion in this inventory, including the 2020 NEI website (EPA, 2022); documentation of the development of the previous NEI in 2017; and the document “Introduction to Area Source Inventory Development” (EPA, 2001a). In addition, permit and emissions data in the MCAQD IMPACT database were analyzed to identify 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 seasonday 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 subsections. Table 3.2–1: Calculation methods for all nonpoint (area) sources. Source Annual Method Fuel combustion: Commercial/institutional distillate oil: boilers Commercial/institutional distillate oil: engines Commercial/institutional liquefied petroleum gas (LPG) Commercial/institutional natural gas Industrial distillate oil: boilers Industrial distillate oil: engines Industrial LPG Industrial natural gas Season-Day Method 2020 EPA NEMO Operating schedule 2020 EPA NEMO Operating schedule 2020 EPA NEMO Operating schedule 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO Operating schedule Operating schedule Operating schedule Operating schedule Operating schedule Residential distillate oil Residential LPG Residential natural gas Residential wood combustion 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO Heating degree days Heating degree days Uniform usage Heating degree days Industrial processes: Bakeries Scaling up Scaling up 2020 Periodic Emissions Inventory for Ozone Precursors Page 24 of 77 Source Commercial cooking Commercial sterilization Chemical manufacturing Electrical equipment manufacturing Fabricated metal product manufacturing Hospitals Rubber/plastic product manufacturing Secondary metal production Industrial processes, not elsewhere classified (NEC) Miscellaneous nonpoint sources: Accidental releases Aircraft engine testing Backyard barbeques Composting Crematories, human Crematories, animal Livestock Prescribed fires Structure fires Vehicle fires Wildfires Solvent use: Aircraft surface coating Auto refinishing Agricultural pesticides Architectural coatings Asphalt application, cutback and emulsified Asphalt application, hot mix and warm mix Consumer and commercial products Degreasing Dry cleaning Factory finished wood and wood furniture Graphics arts Annual Method 2020 EPA NEMO Annual emission reports Scaling up Scaling up Scaling up Season-Day Method Uniform Usage Annual emission reports Scaling up Scaling up Scaling up Scaling up Scaling up Annual emission reports Annual emission reports Scaling up Scaling up Annual emission reports Annual emission reports Self-reported Annual emission reports Emissions extrapolation 2020 EPA NEMO Annual emission reports Annual emission reports 2020 EPA NEMO Prescribed Fires Fire Database and Burn Permits Fire Database 2020 EPA NEMO Self-reported Annual emission reports Uniform usage Uniform usage Annual emission reports Annual emission reports Uniform usage Prescribed Fires Uniform usage Scaling up 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO 2008 asphalt use extrapolation 2020 EPA NEMO Scaling up Uniform usage Uniform usage Uniform usage Uniform usage 2020 EPA NEMO Scaling up 2020 EPA NEMO Scaling up Uniform usage Scaling up Operating schedule Scaling up Scaling up Scaling up Uniform usage 2020 EPA NEMO Uniform usage 2020 Periodic Emissions Inventory for Ozone Precursors Page 25 of 77 Source Industrial surface coating Manufacturing Miscellaneous industrial solvent use Miscellaneous surface coating Traffic markings Volatile organic liquid storage and transport: Airports: aviation gasoline stage 1 Airports: aviation gasoline stage 2 Bulk plants Bulk terminals Gas stations stage 1: balanced submerged fill Gas stations stage 1: submerged fill Gas stations stage 1: underground tanks breathing/emptying Gas stations: tank trunks in transit Pipeline gasoline Portable fuel containers Volatile organic liquids storage/transport Waste treatment and disposal: Landfills Leaking underground storage tanks Open burning Other waste Publicly owned treatment works Annual Method Scaling up 2020 EPA NEMO Scaling up Scaling up 2020 EPA NEMO Season-Day Method Scaling up Operating schedule Scaling up Scaling up Seasonal Factor 2020 EPA NEMO 2020 EPA NEMO Annual emission reports Annual emission reports 2020 EPA NEMO Uniform usage Uniform usage Annual emission reports Annual emission reports 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO 2020 EPA NEMO Annual emission reports 2020 EPA NEMO 2020 EPA NEMO Uniform Usage Annual emission reports Annual Emission Reports LUST Remediation Burn Permits Annual Emission Reports 2020 EPA NEMO Annual Emission Reports LUST Remediation Burn Permits Annual Emission Reports Seasonal Factor 3.2.1 Annual Emission Reports Annual and season-day emissions from facilities were derived using annual emissions reports from permitted facilities. For these categories, it was assumed that there were no significant unpermitted sources within Maricopa County. When all facilities in a source category are located within the 2008 and 2015 ozone NAAs, total emission values for the county and the NAAs are equal. 3.2.2 Scaling Up When all facilities in a source category were not all surveyed, emissions were calculated by the “scaling up” method as described in EPA emissions inventory guidance (EPA, 2001a). This method combines detailed emissions data from a subset of sources and county-level employment data from the U.S. Census Bureau (2021) to develop a per-employee emission factor that is then used to 2020 Periodic Emissions Inventory for Ozone Precursors Page 26 of 77 estimate emissions from all sources in an industry category. The most recent data from the U.S. Census Bureau’s County Business Patterns (CBP) for 2019 employment were used. Where employment estimates were provided as a range of values, the midpoint was used. Some facilities have been categorized as point sources, and thus their emissions are accounted for in Chapter 2. To avoid double-counting, 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. 3.2.3 EPA NEMO Annual emissions for these source categories were derived using county specific data with the EPA Nonpoint Emissions Methodologies and Operator Instructions (NEMO), which are the methodologies used by EPA for the 2020 NEI. 3.2.4 2008 Asphalt Use Extrapolation The Asphalt Institute no longer compiles asphalt usage data by state. Therefore, 2020 emissions from asphalt applications were calculated by extrapolating 2008 asphalt emissions to 2020 based on vehicle miles traveled (VMT). A VMT-based growth factor was used to grow 2008 cutback and emulsified asphalt emissions to 2020. This was done for each asphalt type by multiplying the 2008 Maricopa County asphalt usage by the ratio of 2020 to 2008 annual Maricopa County 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. Emission factors were calculated using the VOC limits for cutback and emulsified asphalt in Rule 340 (Cutback and Emulsified Asphalt) of the Maricopa County Air Pollution Control Regulations. 3.2.5 Fire Database The Arizona Department of Forestry and Fire Management (ADFFM) provided 2020 structure and vehicle fire data. The ADFFM coordinates reporting to the National Fire Incident Reporting System (NFIRS) for fire departments in Arizona. NFIRS is a national reporting system used by fire departments to report fires and other incidents to which they respond to maintain records of these incidents in a uniform manner. Twenty out of forty fire departments in Maricopa County reported over 7,000 fires to NFIRS in 2020. This included 3,397 reported structure fires and 1,614 vehicle fires. Because the ADFFM data only included data reported by twenty out of forty fire departments in Maricopa County, the number of structure fires reported were scaled up based on population served by the fire departments reporting to NFIRS for the total population of Maricopa County and each NAA. Some departments did not report all 12 months of data to NFIRS because it is not mandatory for fire departments to report. Consequently, any partially reporting department had their reported fires scaled up to the annual level based on the number of months reported before being included in the overall scaling calculation to the county and NAA levels. 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 and content loss (EPA, 2001c). 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 (EPA, 2000). 2020 Periodic Emissions Inventory for Ozone Precursors Page 27 of 77 3.2.6 Burn Permits Emissions from controlled open burning are regulated by Maricopa County Rule 314 (Outdoor Fires and Commercial/Institutional Solid Fuel Burning) which requires a burn permit for many types of 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 2020. A total of 18 burn permits were issued during the year. The quantity and reported activity for the burn permits are shown in Table 3.2–2. Table 3.2–2: Maricopa County burn permit activity in 2020. Permits Total Reported Permit Subtype Issued Activity Ditch bank andand 7 103,853 fence row Land clearance 1 15 Air Curtain 0 0 Tumbleweeds 1 0.1 Firefighting instruction 9 75 Activity Unit Measure Linear feet Acres Tons of material burned Piles 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 (EPA, 1992) and assumptions made based on previous Maricopa County emission inventories (MCAQD, 2019). The emission and loading factors used are shown in Table 3.2–3. Table 3.2–3: Emission and fuel loading factors for open burning. Emission Factors (pounds/ton burned) Fuel Loading Factor Category VOC NOX CO (tons/acre) Weeds, unspecified 9 4 85 3.2 Russian Thistle 1.5 4 309 0.1 (tumbleweeds) Orchard crops: Citrus 9 4 81 1 Firefighting instruction used the same fuel loading factors as structure fires of 1.15 (tons/fire) to calculate material burned (tons). The material burned was then multiplied by structure fire emission factors to calculate emissions. 3.2.7 Prescribed Fires Emissions from prescribed fires were estimated using data obtained from ADEQ, which reported that a total of four prescribed fires occurred in Maricopa County during 2020, all of which were within the 2008 and 2015 8-hour ozone NAAs. Because all 2020 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 3.2–4 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. 2020 Periodic Emissions Inventory for Ozone Precursors Page 28 of 77 Table 3.2–4: Prescribed fires in Maricopa County during 2020. Date February 06 February 19 February 20 February 26 Total Burn ID TNF302P TNF302P TNF302P TNF0301P Tons per Acre 1 1 1 1 Acres Tons Burned Burned 25 25 Y 25 25 Y 15 15 Y 1 1 Y 66 66 Within 2008 andand 2015 Ozone NAA During Ozone Season N N 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 to convert from pounds to tons. The prescribed fire data provided by ADEQ indicated all 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 occurred during the 2020 ozone season. MCAQD’s records of citizen complaints received during 2020 regarding suspected open or illegal 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 26.1 to account for unpermitted burning. This factor was calculated based on the number of unpermitted open burning complaints received divided by the number of enforcement actions. The reported dates of activity from all burn permits issued were reviewed to estimate the total open burn activity occurring during ozone season (June through August). 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 days (five days per week and 13 weeks per ozone season). Annual and season-day emissions for the NAAs 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. 3.2.8 Wildfires EPA obtained data on daily acres burned at specific locations from incident status summary reports, the National Incident Features Service, the NOAA Hazard Mapping System, the U.S. Forest Service activity tracking system, the U.S. Fish and Wildlife Service, and the U.S. Department of Interior. EPA used a fuel-bed geographical information systems (GIS) database to identify fuel characteristics at wildfire locations. Total fuel consumed at each fire location was estimated based on the fuel characteristics and the type of fire. EPA then used the BlueSky Modeling Framework to estimate daily emissions at each fire location. MCAQD used the latitude and longitude for each fire location to identify fires located within Maricopa County, and the 2008 and 2015 ozone NAAs. Season-day emissions were calculated based on the date of each fire. 2020 Periodic Emissions Inventory for Ozone Precursors Page 29 of 77 Table 3.2–5: Wildfire incidence, acreage burned, and material burned in 2020. Geographic Number Acres Consumption, Consumption, Smoldering area of Fires Burned Flaming (tons/yr) (tons/yr) Maricopa 223 237,126 408,761 88,818 County 2018 ozone 199 230,417 404,277 88,325 NAA 2015 ozone 197 228,744 399,438 86,751 NAA 3.2.9 Leaking Underground Storage Tank Remediation Leaking underground storage tanks (LUST) are normally not considered a quantifiable source of air emissions until excavation and remediation efforts begin. Most 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 (EPA, 2001b). A default emission rate of 28 pounds per day per remediation event was used to estimate VOC emissions from LUST remediation (EPA, 2001b). It was assumed that an initial site action (tank and soil removal) for an average LUST remediation lasts five days. Data on LUST remediation events in 2020 were obtained from ADEQ. This data indicated that 67 LUST remediation events occurred in Maricopa County, and 66 LUST remediation events occurred within the 2008 and 2015 ozone NAAs. The LUST closure dates were used to determine which remediation events occurred during the ozone season. 3.2.10 Self-Reported Facilities that are subject to an air pollution control permit issued by the MCAQD are required to submit an excess emissions report each time a release occurs. These reports are submitted as a type of compliance report through the AQD Online Portal. Upon receipt, inspectors review these compliance reports and assign “self-report” as the type of compliance report. For 2020, these reports were reviewed to estimate emissions from accidental releases at nonpoint source facilities. 3.2.11 Uniform Usage Emissions are assumed to occur every day and relatively uniformly throughout the year. Season-day emissions were calculated by dividing the annual emissions by 366 (the number of days in 2020). 3.2.12 Operating Schedule Activity is assumed to occur a certain number of days per week and is relatively uniform throughout the year. Annual emissions are multiplied by 25 percent to calculate ozone season emissions. Seasonday emissions are calculated by dividing ozone season emissions by the product of the number of days per week times the number of weeks in ozone season. 2020 Periodic Emissions Inventory for Ozone Precursors Page 30 of 77 3.2.13 Seasonal Factor Residential natural gas ozone season day emissions were 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). 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 ozone season (EPA, 2001a). 3.2.14 Heating Degree Days Ozone season-day emissions are calculated by multiplying the annual emissions by the percentage of heating degree days (i.e., the number of degrees per day that the daily average temperature is below 65 °F) during ozone season (June, July, and August). Data obtained from the NOAA website (NOAA, 2022) indicates that there were no heating degree days during the 2020 ozone season. 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. When all sources in a given source category are considered to be located within the 2008 and 2015 ozone NAAs, total emission values for the county and the NAAs are considered equal and are listed as “Assumed Same” in Table 3.3-1. Table 3.3–1: Allocation method for all nonpoint sources. Source Allocation Method Fuel combustion: Commercial/institutional distillate oil: boilers Commercial/institutional distillate oil: engines Commercial/institutional natural gas Industrial distillate oil: boilers Industrial distillate oil: engines Industrial natural gas Industrial LPG Residential distillate oil Residential liquefied petroleum gas (LPG) Residential natural gas Residential wood combustion Employment Employment Employment Employment Employment Employment Employment Population Population Population Population Industrial processes: Bakeries Commercial cooking Commercial sterilization Industrial employment Population Assumed same 2020 Periodic Emissions Inventory for Ozone Precursors Page 31 of 77 Source Chemical manufacturing Electrical equipment manufacturing Fabricated metal product manufacturing Hospitals Rubber/plastic product manufacturing Secondary metal production Industrial processes, not elsewhere classified (NEC) Misc. area sources: Accidental releases Aircraft engine testing Backyard barbeques Composting Crematories, human Crematories, animal Livestock Prescribed fires Structure fires Vehicle fires Wildfires Solvent use: Aircraft surface coating Auto refinishing Agricultural pesticides Architectural coatings Asphalt application, cutback and emulsified Asphalt application, hot mix and warm mix Consumer and commercial products Degreasing Dry cleaning Factory finished wood Graphics arts Industrial surface coating Miscellaneous industrial solvent use Miscellaneous surface coating Traffic markings Storage and transport: Allocation Method Industrial employment Industrial employment Industrial employment Population Industrial employment Location data Location data Location data Location data Population Population Location data Location data Land use Location data Population Population Location data Assumed same Employment Land use Employment Population Population Population Employment Assumed same Employment Employment Employment Employment Employment Employment 2020 Periodic Emissions Inventory for Ozone Precursors Page 32 of 77 Source Airports: aviation gasoline stage I Airports: aviation gasoline stage II Bulk plants Bulk terminals Gas stations stage I: submerged fill Gas stations stage I: balanced submerged fill Gas stations stage 1: underground tanks breathing/emptying Gas stations: tank trunks in transit Pipeline gasoline Portable fuel containers - commercial Portable fuel containers – residential Volatile organic liquids storage/transport Waste Disposal: Landfills Leaking underground storage tanks Open burning Other waste Publicly owned treatment works (POTW) Allocation Method General aviation operations General aviation operations Location data Location data Assumed same Assumed same Assumed same Assumed same Assumed same Employment Population Location data Location data Location data Land use Location data Population 3.3.1 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 land use acreage in the NAAs to 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 aviation gasoline stage I and stage II, the annual and season-day emissions for the 2008 and 2015 ozone NAA were calculated based on the number of landing and takeoff operations that occurred within the NAAs in 2020 (98.2%). Landing and takeoff operations from commercial, 2020 Periodic Emissions Inventory for Ozone Precursors Page 33 of 77 military, and turbine-engine aircraft were not included because these do not use aviation gasoline. See Table 4.2–2 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. 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 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 combustion of coal, kerosene, and residual oil; 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 reports) were used as these data best reflect activity in the county and the NAAs. When local data was not available, data from state agencies, such as the 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 U.S. 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 one air quality planner, one senior air quality planner, and one planning supervisor. All nonpoint 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 nonpoint 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 doublecounted and to determine if rule effectiveness applied. Once nonpoint source emission estimates had been produced, several quality control checks were performed to substantiate the calculations. All nonpoint source calculations were peer reviewed by either another planner or the planning supervisor. 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 2020 Periodic Emissions Inventory for Ozone Precursors Page 34 of 77 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 nonpoint source chapter. This draft chapter was read through in its entirety by the planner, senior planner, planning supervisor, and division manager for final review, with any identified errors corrected by the author of the section. The draft version of the area source chapter was sent to 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 Nonpoint 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. Annual Season-day emissions emissions (pounds/day) (tons/year) Source Category VOC NOX CO VOC NOX CO Commercial/institutional distillate oil: boilers 0.1 3.3 0.8 0 23 6 Commercial/institutional distillate oil: engines 0.4 5.2 1.1 3 36 8 Commercial/institutional liquefied petroleum gas (LPG) 4.7 128.6 72.0 33 893 500 Commercial/institutional natural gas 46.5 845.1 709.9 323 5,869 4,930 Industrial distillate oil: boilers 0.7 71.3 17.8 5 495 124 Industrial distillate oil: engines 99.8 1,434.8 308.8 693 9,964 2,144 Industrial LPG 1.7 47.7 26.7 12 332 186 Industrial natural gas 21.5 391.2 328.6 149 2,717 2,282 Residential distillate oil 0.0 0.6 0.2 Residential LPG 2.7 69.3 19.6 Residential natural gas 56.3 962.9 409.7 147 2,512 1,069 Residential wood combustion 1,798.6 187.1 11,193.6 Total fuel combustion 2,033.0 4,147.0 13,088.9 1,365 22,839 11,248 Bakeries 71.3 460 Commercial cooking 520.7 1,454.2 2,830 7,903 Commercial sterilization 1.6 9 Chemical manufacturing 149.4 888 Electrical equipment manufacturing 161.6 37.9 8.5 892 208 47 Fabricated metal product manufacturing 7.2 8.3 1.6 37 8 2 2020 Periodic Emissions Inventory for Ozone Precursors Page 35 of 77 Annual emissions (tons/year) Source Category Hospitals Rubber and plastic product manufacturing Secondary metal production Industrial processes, not elsewhere classified (NEC) Total industrial processes Accidental releases Aircraft engine testing Backyard barbeques Composting Crematories, human Crematories, animal Livestock Prescribed fires Structure fires Vehicle fires Wildfires Total miscellaneous nonpoint sources Aircraft surface coating Architectural coatings Agricultural pesticides Asphalt application, emulsified Asphalt application, hot mix Asphalt application, warm mix Auto refinishing Consumer and commercial products (CCP): Adhesives and sealants CCP: Automotive aftermarket products CCP: Coatings and related products CCP: Household products CCP: Insecticide, fungicide, and rodenticide products CCP: Personal care products CCP: Miscellaneous products, NEC Degreasing Dry cleaning Season-day emissions (pounds/day) VOC NOX 18.1 977.8 46.1 20.5 CO 65.5 2,019.3 7.4 49.0 1,622.6 13.9 80.7 VOC 99 6,038 109.3 293 86.9 1,106.1 752.5 0.3 14.9 1.3 0.2 8.8 0.5 1,137.1 0.2 0.2 2.5 26.0 3.3 141.9 7.7 1.0 30.0 13,784.3 1,113.2 58,045.0 15,802.5 1,166.7 59,327.2 6.7 2,404.0 203.6 157.5 777.0 13.6 497.8 373 11,920 3,690 0 475 4,135 2 1 6,248 104 142 42 6,083 20,922 39 13,209 1,119 863 4,258 74 2,735 4,188.7 433.9 2,181.6 4,580.7 22,952 2,378 11,954 25,100 4,087.6 4,498.4 160.7 527.3 18.1 22,398 24,649 881 3,040 139 2.4 22.9 NOX CO 113 568 78 407 233 8,753 0 125 0 6,044 89 49 8 3 102 1,226 18 775 5 164 21,357 1,139,753 21,746 1,147,973 2020 Periodic Emissions Inventory for Ozone Precursors Page 36 of 77 Annual emissions (tons/year) Source Category VOC NOX 829.6 234.5 755.5 Factory finished wood and wood furniture Graphics arts Industrial Maintenance Coatings Manufacturing electronic and other electrical: SIC 36 - 363 24.3 Manufacturing large appliances: SIC 363 11.4 Manufacturing machinery and equipment: SIC 35 41.3 Manufacturing marine: SIC 373 8.0 Manufacturing metal furniture: SIC 25 49.9 Manufacturing motor vehicles: SIC 371 53.8 Manufacturing paper: SIC 26 19.3 Miscellaneous surface coating 101.2 Miscellaneous industrial solvent use 56.7 Other special purpose coatings 478.7 Total solvent use 27,401.5 Airports: aviation gasoline stage 1 1.6 Airports: aviation gasoline stage 2 588.1 Bulk plants 25.3 Bulk terminals 129.4 Gas stations stage 1: balanced submerged fill 298.6 Gas stations stage 1: submerged fill 92.1 Gas stations: tank trucks in transit 52.2 Gas stations stage 1: underground tanks breathing/emptying 606.2 Pipeline gasoline 59.7 Portable fuel containers, commercial 505.0 Portable fuel containers, residential 459.8 Miscellaneous volatile organic liquid storage and transport 1.7 Total volatile organic liquid storage and transport 2,819.7 Landfills 9.6 Leaking underground storage tanks 4.7 Open burning 18.2 Other waste 2.1 Season-day emissions (pounds/day) CO VOC 6,184 1,396 5,812 NOX CO 187 87 318 61 384 414 149 712 357 3,682 155,530 9 3,214 139 712 1,832 565 320 3,189 327 2,759 2,513 9 16.6 17.6 8.1 6.8 171.8 4.4 15,588 53 34 140 11 91 97 62 30 1,322 21 2020 Periodic Emissions Inventory for Ozone Precursors Page 37 of 77 Annual emissions (tons/year) Source Category Publicly owned treatment works Total waste treatment and disposal Total nonpoint Table 3.5–2: 2008 NAA. Season-day emissions (pounds/day) VOC NOX CO VOC 59.5 458 94.0 31.5 193.9 695 50,170.1 5,425.8 74,232.6 206,021 NOX CO 184 1,440 45,176 1,169,414 Annual and season-day emissions from nonpoint sources in the Maricopa County Source Category Commercial/institutional distillate oil: boilers Commercial/institutional distillate oil: engines Commercial/institutional liquefied petroleum gas (LPG) Commercial/institutional natural gas Industrial distillate oil: boilers Industrial distillate oil: engines Industrial LPG Industrial natural gas Residential distillate oil Residential LPG Residential natural gas Residential wood combustion Total fuel combustion Bakeries Commercial cooking Commercial sterilization Chemical manufacturing Electrical equipment manufacturing Fabricated metal product manufacturing Annual emissions (tons/year) Season-day emissions (pounds/day) VOC 0.1 NOX 3.3 CO 0.8 0.4 5.2 4.7 VOC 0 NOX 23 CO 1.1 3 36 8 128.1 71.8 33 890 498 46.3 842.3 707.5 322 5,849 4,913 0.7 71.0 17.7 5 493 123 99.3 1,428.7 307.5 690 9,922 2,135 1.7 21.4 0.0 2.7 56.8 1,798.6 47.5 389.6 0.6 69.8 970.8 187.1 26.6 327.3 0.2 19.8 413.1 11,193.6 12 149 330 2,706 185 2,273 148 2,532 1,078 2,032.8 71.0 525.0 1.6 148.7 160.9 4,144.0 13,087.0 22,781 11,219 - 1,466.1 - 7,968.0 37.7 8.5 1,361 458 2,853 9 884 889 207 47 7.2 - 0.3 37 8 2 6 2020 Periodic Emissions Inventory for Ozone Precursors Page 38 of 77 Annual emissions (tons/year) Source Category Hospitals Rubber and plastic product manufacturing Secondary metal production Industrial processes, not elsewhere classified (NEC) All industrial processes Accidental releases Aircraft engine testing Backyard barbeques Composting Crematories, human Crematories, animal Livestock Prescribed fires Structure fires Vehicle fires Wildfires Total miscellaneous nonpoint sources Aircraft surface coating Architectural coatings Agricultural Pesticides Asphalt application, emulsified Asphalt application, hot mix Asphalt application, warm mix Auto refinishing Consumer and commercial products (CCP): Adhesives and sealants CCP: Automotive aftermarket products CCP: Coatings and related products CCP: Household products VOC 18.2 973.7 NOX Season-day emissions (pounds/day) CO VOC 100 6,013 NOX CO 46.1 20.5 109.3 293 110 568 65.5 13.9 49.0 373 78 233 2,017.9 72.2 1,633.2 11,909 403 8,817 0.0 87.6 758.7 0.3 0.2 640.9 0.2 26.2 7.7 13,682.4 15,204.2 2.4 23.1 0.0 1,115.1 15 126 0 6,094 14.9 8.8 0.2 3.3 1.0 1,101.9 1,155.5 1.3 0.5 2.5 143.1 30.2 57,619.4 58,912.1 0 479 4,169 2 1 3,522 143 42 269,436 277,794 89 49 18 5 21,237 21,539 8 3 - 6.7 2,393.9 113.6 158.8 39 13,153 624 870 783.4 4,293 13.7 75 495.7 4,223.0 2,724 23,140 437.5 2,397 2,199.5 12,052 4,618.3 25,306 782 165 51,652 58,703 2020 Periodic Emissions Inventory for Ozone Precursors Page 39 of 77 Annual emissions (tons/year) Source Category CCP: Fungicide, insecticide, and rodenticide products CCP: Personal care products CCP: Miscellaneous products, NEC Degreasing Dry cleaning Factory finished wood and wood furniture Graphics arts Industrial maintenance coatings Manufacturing electronic and other electrical: SIC 36 - 363 Manufacturing large appliances: SIC 363 Manufacturing machinery and equipment: SIC 35 Manufacturing marine: SIC 373 Manufacturing metal furniture: SIC 25 Manufacturing motor vehicles: SIC 371 Manufacturing paper: SIC 26 Miscellaneous surface coating Miscellaneous industrial solvent use Other special purpose coatings Total solvent use Airports: aviation gasoline stage 1 Airports: aviation gasoline stage 2 Bulk plants VOC 4,121.1 NOX Season-day emissions (pounds/day) CO VOC 22,581 4,535.3 24,851 162.1 888 525.1 18.2 826.1 3,028 140 6,158 233.5 761.7 1,390 5,859 24.2 186 11.3 87 41.2 317 8.0 61 49.7 382 53.6 412 19.2 148 56.5 356 100.8 709 482.6 3,712 27,474.1 1.6 155,939 9 46.6 255 25.3 139 NOX CO 2020 Periodic Emissions Inventory for Ozone Precursors Page 40 of 77 Annual emissions (tons/year) Source Category Bulk terminals Gas stations stage 1: balanced submerged fill Gas stations stage 1: submerged fill Gas stations: tank trucks in transit Gas stations stage 1: underground tanks breathing/emptying Pipeline gasoline Portable fuel containers, commercial Portable fuel containers, residential Miscellaneous volatile organic liquid storage and transport Total volatile organic liquid storage and transport Landfills Leaking Underground Storage Tanks Open burning Other waste Publicly Owned Treatment Works (POTWs) Total waste treatment and disposal Total nonpoint Table 3.5–3: 2015 NAA. VOC 129.4 298.6 NOX Season-day emissions (pounds/day) CO VOC 712 1,832 92.1 565 52.2 320 606.2 3,189 59.7 503.4 2,751 463.6 2,533 1.3 6 2,280.0 12,638 NOX CO 327 9.6 4.6 16.6 17.6 53 34 91 97 10.7 2.1 60.0 4.8 6.8 101.4 4.4 215 11 461 95 37 2,027 21 87.0 28.2 123.4 774 224 2,145 49,096.0 5,399.9 73,755.7 460,416 44,947 80,885 Annual and season-day emissions from nonpoint sources in the Maricopa County Source Category Commercial/institutional distillate oil: boilers Commercial/institutional distillate oil: engines Annual emissions (tons/year) Season-day emissions (pounds/day) VOC NOX 0.1 3.3 0.4 5.3 CO VOC NOX CO 0.8 0 23 6 1.1 3 36 8 2020 Periodic Emissions Inventory for Ozone Precursors Page 41 of 77 Annual emissions (tons/year) Season-day emissions (pounds/day) Source Category VOC NOX CO VOC NOX CO Commercial/institutional liquefied petroleum gas 4.7 128.6 72.0 33 893 500 (LPG) Commercial/institutional natural gas 46.5 845.5 710.2 323 5,871 4,932 Industrial distillate oil: boilers 0.7 71.1 17.8 5 493 123 Industrial distillate oil: engines 99.5 1,430.7 307.9 691 9,936 2,138 Industrial LPG 1.7 47.6 26.7 12 331 185 Industrial natural gas 21.5 390.2 327.7 149 2,709 2,276 Residential distillate oil 0.0 0.6 0.2 Residential LPG 2.8 71.7 20.3 Residential natural gas 58.4 997.4 424.4 152 2,602 1,107 Residential wood combustion 1,847.9 192.2 11,500.0 Total fuel combustion 2,084.1 4,184.1 13,409.2 1,368 22,895 11,276 Bakeries 71.1 459 Commercial cooking 539.3 1,506.2 2,931.2 8,186 Commercial sterilization 1.6 9 Chemical manufacturing 148.9 886 Electrical equipment manufacturing 161.2 37.8 8.5 890 208 47 Fabricated metal product manufacturing 7.2 0.3 37 8 2 Hospitals 18.7 103 Rubber and plastic product manufacturing 975.1 6,021 Secondary metal production 46.1 20.5 109.3 293 110 568 Industrial processes, not elsewhere classified 65.5 13.9 49.0 373 78 233 (NEC) All industrial processes 2,034.7 72.3 1,673.3 12,002 403 9,035 Accidental releases Aircraft engine testing 0.0 2.4 0.0 0 15 0 Backyard barbeques 90.0 23.7 1,145.7 492 129 6,260 Composting 779.5 4,283 Crematories, human 0.3 14.9 1.3 2 89 8 Crematories, animal 0.2 8.8 0.5 1 49 3 Livestock 680.5 3,739 Prescribed fires 0.2 0.2 2.5 Structure fires 27.0 3.4 147.2 147 19 804 Vehicle fires 8.0 1.0 31.1 43 5 170 Wildfires 13,444.3 1,087.3 56,611.2 264,203 20,917 50,644 2020 Periodic Emissions Inventory for Ozone Precursors Page 42 of 77 Annual emissions (tons/year) Season-day emissions (pounds/day) Source Category VOC NOX CO VOC NOX CO Total miscellaneous nonpoint sources 15,029.9 1,141.7 57,939.4 272,911 21,223 57,889 Aircraft surface coating 6.7 39 Architectural coatings 2,397.3 13,172 Agricultural Pesticides 113.6 624 Asphalt application, emulsified 163.2 894 Asphalt application, hot mix 811.4 4,446 Asphalt application, warm mix 14.2 78 Auto refinishing 496.4 2,728 Consumer and commercial products (CCP): 4,338.6 23,773 Adhesives and sealants CCP: Automotive aftermarket products 449.5 2,463 CCP: Coatings and related products 2,259.7 12,382 CCP: Household products 4,744.7 25,998 CCP: Fungicide, insecticide, and rodenticide 4,233.9 23,200 products CCP: Personal care products 4,659.5 25,531 CCP: Miscellaneous products, NEC 166.5 912 Degreasing 525.8 3,032 Dry cleaning 18.9 145 Factory finished wood and wood furniture 827.2 6,166 Graphics arts 233.8 1,392 Industrial maintenance coatings 789.0 6,069 Manufacturing electronic and other electrical: SIC 24.2 186 36 - 363 Manufacturing large appliances: SIC 363 11.3 87 Manufacturing machinery and equipment: SIC 35 41.2 317 Manufacturing marine: SIC 373 8.0 61 Manufacturing metal furniture: SIC 25 49.7 383 Manufacturing motor vehicles: SIC 371 53.7 413 Manufacturing paper: SIC 26 19.3 148 Miscellaneous industrial solvent use 100.9 710 Miscellaneous surface coating 56.7 357 Other special purpose coatings 499.9 3,845 Total solvent use 28,114.7 159,553 Airports: aviation gasoline stage 1 1.6 9 2020 Periodic Emissions Inventory for Ozone Precursors Page 43 of 77 Annual emissions (tons/year) Source Category Airports: aviation gasoline stage 2 Bulk plants Bulk terminals Gas stations stage 1: balanced submerged fill Gas stations stage 1: submerged fill Gas stations: tank trucks in transit Gas stations stage 1: underground tanks breathing/emptying Pipeline Gasoline Portable fuel containers, residential Portable fuel containers, commercial Miscellaneous volatile organic liquid storage and transport Total volatile organic liquid storage and transport Landfills Leaking underground storage tanks Open burning Other waste Publicly owned treatment works Total waste treatment and disposal Total nonpoint VOC NOX 46.6 25.3 129.4 298.6 92.1 52.2 Season-day emissions (pounds/day) CO VOC NOX 255 139 712 1,832 565 320 606.2 3,189 59.7 476.3 505.4 327 2,603 2,762 1.3 6 2,294.7 12,719 CO 9.6 16.6 17.6 53 91 97 4.6 34 11.7 5.2 110.8 232 103 2,187 2.1 6.8 4.4 11 37 21 61.6 474 89.6 28.6 132.8 804 232 2,306 49,647.7 5,426.7 73,154.7 459,356 44,753 80,506 3.6 References 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. EPA, Office of Air Quality Planning and Standards, Research Triangle Park, NC. 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/2015-08/documents/vehclf13.pdf 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 Group, Inc. for the Area Source Committee, EIIP. Internet address: http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii01_apr2001.pdf 2020 Periodic Emissions Inventory for Ozone Precursors Page 44 of 77 EPA, 2001b. 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 EPA, 2001c. 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 EPA, 2020. National Emissions Inventory (NEI) Plan. Internet address: https://www.epa.gov/sites/default/files/2020-08/documents/2020_nei_plan_final.pdf MCAQD, 2019. 2017 Periodic Emissions Inventory for Ozone Precursors. Maricopa County Air Quality Department, Phoenix AZ, November 2019. NOAA, 2022. Degree Day Statistics States and Cities. Climate Prediction Center. Internet address: https://www.cpc.ncep.noaa.gov/products/analysis_monitoring/cdus/degree_days/ 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 2020 Periodic Emissions Inventory for Ozone Precursors Page 45 of 77 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 ground support equipment (GSE), such as baggage tugs and terminal tractors, and auxiliary power units (APU); • 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 Motor Vehicle Emission Simulator (MOVES3) model was used to produce emission estimates. For aircraft, APUs, and airport GSE categories, the Federal Aviation Administration (FAA) Aviation Environmental Design Tool (AEDT) Version 3d computed emissions related to aircraft operations at airports. EPA estimated rail emissions based on national locomotive fuel usage, locomotive fleet data, the amount of track in each state and county, along with usage and grade data for each track section. Season-day rail estimates were calculated assuming that rail activity is consistent throughout the year. This document reports annual and ozone season average daily nonroad mobile source emissions in 2020 for Maricopa County, the ozone nonattainment area for the 2008 ozone standard, and the expanded ozone nonattainment area for the 2015 ozone 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 nonattainment areas. The sections below describe the different 2020 Periodic Emissions Inventory for Ozone Precursors Page 46 of 77 approaches used to allocate emissions for the different equipment categories to Maricopa County and the two nonattainment areas. 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: Estimation method for all nonroad mobile sources. Category Annual Method Season Day Method Agricultural MOVES3 MOVES3 Airport GSE+APUs AEDT 3d AEDT 3d Commercial MOVES3 MOVES3 Construction MOVES3 MOVES3 Industrial MOVES3 MOVES3 Lawn and garden MOVES3 MOVES3 Pleasure craft MOVES3 MOVES3 Railway maintenance MOVES3 MOVES3 Recreational MOVES3 MOVES3 Aircraft AEDT 3d AEDT 3d Locomotives EPA Rail Estimates Assumed same 4.2.1 MOVES3 The MOVES3 (version 3.0.2) model calculated emissions for nonroad sources in Maricopa County using local inputs as described below. The National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) Local Climatological Data website (NCEI, 2020) provided hourly profiles of monthly average temperature observations at Phoenix Sky Harbor Airport. The Arizona Department of Agriculture (AZDA) Weights and Measures Services Division provided fuel specifications for 2020, identical to the fuel data used in modeling onroad mobile source emissions. 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 for oil field equipment based on employment were set to zero, as there is no oil and gas production in Maricopa County (AZOGCC, 2018). 2020 Periodic Emissions Inventory for Ozone Precursors Page 47 of 77 The MOVES3 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 3-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 season-day emissions computed for Maricopa County to the nonattainment areas, 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 geographic information system (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, and domestic aviation system planning and aviation environmental policy analysis. The AEDT model calculates aircraft, GSE, and APU emissions of VOC, NOx, and CO using airport operational data for 2020 as discussed below. The model computes emissions individually for each combination of aircraft and engine type, and AEDT model outputs 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 • Military (ML): Aircraft used to support military operations. 2020 Periodic Emissions Inventory for Ozone Precursors Page 48 of 77 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 taxi-out time, country, and weather data; • Fleet database: Aircraft/engine models and flight tracking profiles for arrival, departure, and touch-and-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 LTOs or T&G operations) is a critical input to the AEDT model. The FAA Operations Network (OPSNET) database (FAA, 2021a) provided daily activity data on 2020 aircraft operations for the eight larger commercial and general aviation airports in the Maricopa County (Chandler Municipal, Falcon Field, Glendale Municipal, Phoenix Deer Valley, Phoenix Goodyear, Phoenix-Mesa Gateway, Phoenix Sky Harbor, and Scottsdale airports). Additionally, FAA 5010 Airport Master Records database (airportiq5010.com) provided operations data for five smaller general aviation airports included in the inventory (Buckeye Municipal, Gila Bend Municipal, Stellar Airpark, Pleasant Valley, and Wickenburg Municipal airports). Because the FAA’s 5010 database does not have the 2020 operational data for Sky Ranch at Carefree, the recent 2017 survey data at this same airport were adopted. The AFB personnel provided the numbers of F16s and F-35s military aircraft based at Luke AFB in 2020. The FAA Traffic Flow Management System Counts (TFMSC) database provided aircraft fleet mix for 11 of the 14 commercial and general aviation airports. The fleet mix from Phoenix Goodyear assumedly represents those at both nearby Buckeye Municipal and Gila Bend Municipal, and the fleet mix for Pleasant Valley was taken from 2017 survey data. 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. Table 4.2–2: Airport Name Buckeye Municipal Chandler Municipal Falcon Field Gila Bend Municipal Glendale Municipal Luke Air Force Base Annual airport operations (by aircraft category) and related data sources 2020 Operations Fleet Air Air General FAA Operations Mix Data Carrier Taxi Aviation LID Data Source1 Source2 (AC) (AT) (GA) BXK AirportIQ TFMSC 0 100 54,000 5010 CHD OPSNET TFMSC 0 12,827 201,664 FFZ E63 GEU LUF OPSNET AirportIQ 5010 OPSNET Military (ML) 100 127 TFMSC TFMSC 7 0 77,000 624 228,745 41,317 1,924 59 TFMSC 0 280 86,048 4 [Emissions for 2020 were estimated by scaling based on numbers of F-16 and F-35 fighter jets, see text for details] 2020 Periodic Emissions Inventory for Ozone Precursors Page 49 of 77 2020 Operations Fleet Air Air Mix Data Carrier Taxi Source2 (AC) (AT) TFMSC 20 52,662 General Airport FAA Operations Aviation Military Name LID Data Source1 (GA) (ML) * Phoenix DVT OPSNET 349,672 90 Deer Valley Phoenix GYR OPSNET TFMSC 184 3,324 74,916* 1,175 Goodyear PhoenixIWA OPSNET TFMSC 11,080 50,218 194,997 3,044 Mesa Gateway Phoenix Sky PHX OPSNET TFMSC 260,343 30,628 17,371 1,982 Harbor Pleasant P48 AirportIQ Survey 0 0 30,000* 0 Valley 5010 Scottsdale SDL OPSNET TFMSC 23 23,127 172,321 381 Sky Ranch at 18AZ Survey TFMSC 0 0 4,291 0 Carefree Stellar P19 AirportIQ TFMSC 0 0 40,000 0 Airpark 5010 Wickenburg E25 AirportIQ TFMSC 0 400 35,700 50 Municipal 5010 AirportIQ 5010: online database of FAA Form 5010 information (http://airportiq5010.com) OPSNET: Operational Network (FAA, 2021a) Survey: MAG Airport Survey (2017 operations and fleet mix, conducted via email and phone call, 2018) TFMSC: Traffic Management System Counts (FAA, 2021b) * The number of operations includes touch-and-go operations reported by airport or FAA. 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 201,644 general aviation operations at this airport in 2020, as listed in Table 4.2–2. The TFMSC database of general aviation activity and fleet mix at Chandler Municipal airport in 2020 comprised 93 different aircraft types recognized by AEDT, with a combined 2,533 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 demonstrates this calculation for the general aviation activity at Chandler Municipal Airport. When 2020 Periodic Emissions Inventory for Ozone Precursors Page 50 of 77 applied to each aircraft category at each airport, this procedure typically resulted in 10 to 100 aircraft types representing 98.6 to 100% of all reported activity. Table 4.2–3: Aircraft type activity distribution at Chandler Municipal airport. Rank Aircraft Type 1 BE20 - Beech 200 Super King 2 TBM9 - Socata TBM 3 C172 - Cessna Skyhawk 172/Cutlass 4 C560 - Cessna Citation V/Ultra/Encore 5 C25C - Cessna Citation CJ4 6 LJ45 - Bombardier Learjet 45 7 PC12 - Pilatus PC-12 8 BE9L - Beech King Air 90 9 S22T - Cirrus SR-22 Turbo 10 C425 - Cessna 425 Corsair 11 P28A - Piper Cherokee 12 P46T - Piper Malibu Meridian 13 SF50 - Cirrus Vision SF50 14 AC90 - Gulfstream Commander 15 M20T - Turbo Mooney M20K 16 C182 - Cessna Skylane 182 17 C525 - Cessna CitationJet/CJ1 18 BE36 - Beech Bonanza 36 19 SR22 - Cirrus SR 22 20 BE58 - Beech 58 21 TBM7 - Socata TBM-7 22 C550 - Cessna Citation II/Bravo 87 BE60 - Beech 60 Duke 88 C25A - Cessna Citation CJ2 89 HUSK - Aviat A-1 Husky Pup 90 LJ60 - Bombardier Learjet 60 91 LNC4 - Lancair 4 92 M20 - Mooney M-20C Ranger 93 PA30 - Piper PA-30 Total TFMSC Reported Operations 365 210 177 131 115 96 80 79 73 72 72 66 65 63 57 56 53 44 42 31 31 30 1 1 1 1 1 1 1 2,533 Relative Frequency (%) 14.410% 8.291% 6.988% 5.172% 4.540% 3.790% 3.158% 3.119% 2.882% 2.842% 2.842% 2.606% 2.566% 2.487% 2.250% 2.211% 2.092% 1.737% 1.658% 1.224% 1.224% 1.184% 0.039% 0.039% 0.039% 0.039% 0.039% 0.039% 0.039% Cumulative Frequency (%) 14.410% 22.700% 29.688% 34.860% 39.400% 43.190% 46.348% 49.467% 52.349% 55.191% 58.034% 60.640% 63.206% 65.693% 67.943% 70.154% 72.246% 73.983% 75.642% 76.865% 78.089% 79.274% 99.763% 99.803% 99.842% 99.882% 99.921% 99.961% 100.000% Total Operations for AEDT * Computations rounded to produce even multiples of LTO, with adjustments to account for accumulated rounding error added to the dominant aircraft type. 29,046 16,720 14,092 10,430 9,156 7,644 6,370 6,290 5,812 5,732 5,732 5,254 5,174 5,016 4,538 4,458 4,220 3,504 3,344 2,468 2,468 2,388 80 80 80 80 80 80 80 201,664 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 0.46 between the number of F-16s based at Luke AFB in 2020 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 0.63 between the number of F-35 aircraft based at Luke AFB in 2020 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 2020 Periodic Emissions Inventory for Ozone Precursors Page 51 of 77 aircraft emissions for 2020 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 8-hour ozone nonattainment area. 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. EPA estimated rail emissions based on national locomotive fuel usage, locomotive fleet data, the amount of track in each state and county, along with usage and grade data for each track section. 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 were used to allocate the county level annual and ozone season-day emissions for each of the categories to the 8-hour ozone nonattainment areas (NAA) 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 Land Use (Commercial) Construction Employment (Construction) Industrial Land Use (Industrial) Lawn and garden Land Use (Single family housing low+medium density, All development Pleasure craft Land Use (Lakes) Railway maintenance Land Use (Railroad) Recreational Land Use (Passive Open + Vacant, Golf Courses) Aircraft Location Data Locomotives Location Data 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, commercial, industrial, lawn and garden, pleasure craft, railway maintenance 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. 2020 Periodic Emissions Inventory for Ozone Precursors Page 52 of 77 4.3.2 Location Data The geographic location of each source identifies whether it is located inside or outside of the 8hour ozone NAA. Annual and ozone season-day emissions for each source located inside the 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 construction sectors. Maricopa County annual and ozone season-day 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. 4.4 Quality Assurance Procedures A comparison of the 2020 nonroad mobile sources emission estimates to previous emissions inventories (2017) 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: County. Annual and ozone season-day emissions from nonroad mobile sources in Maricopa Category Agricultural Airport GSE+APUs Commercial Construction Industrial Lawn and garden Pleasure craft Railway maintenance Recreational Aircraft Locomotives Total Annual emissions (tons/year) VOC NOX CO 22.6 230.6 238.9 33.9 171.5 931.7 1,005.3 801.7 28,273.6 1,487.6 7,354.7 14,977.7 122.8 862.1 3,407.9 2,746.6 490.1 47,865.2 173.9 65.4 753.3 1.0 5.0 14.5 453.4 45.7 5,397.5 1,263.7 2,413.4 8,302.9 52.8 1,129.3 221.8 7,363.6 13569.5 110,385.0 Season day emissions (pounds/day) VOC NOX CO 196 1,982 2,108 159 797 4,426 6,815 4,846 189,413 10,340 50,572 106,856 780 5,113 22,118 26,043 4,232 492,237 3,229 1,634 19,497 7 34 104 5,515 513 70,275 6,123 12,041 40,195 289 6,171 1,212 59,496 87,935 948,441 2020 Periodic Emissions Inventory for Ozone Precursors Page 53 of 77 Table 4.5–2: Annual and ozone season-day emissions from nonroad mobile sources in the 2008 8hour ozone NAA. Annual emissions Season day emissions (tons/year) (pounds/day) Category VOC NOX CO VOC NOX CO Agricultural 12.6 128.7 133.3 109 1,106 1,176 Airport GSE+APUs 33.4 169.9 917.4 156 788 4,348 Commercial 990.4 789.9 27,856.4 6,714 4,774 186,619 Construction 1,477.8 7,306.1 14,878.6 10,272 50,237 106,149 Industrial 122.5 860.2 3,400.5 778 5,102 22,069 Lawn and garden 2,685.4 479.5 46,803.0 25,457 4,139 481,170 Pleasure craft 173.9 65.4 753.3 3,229 1,634 19,497 Railway maintenance 0.6 2.7 7.8 4 18 56 Recreational 242.4 33.0 4,345.1 2,957 366 56,676 Aircraft 1,237.6 2,401.2 8,151.8 5,981 11,975 39,373 Locomotives 42.4 885.7 170.8 232 4,840 933 Total 7,019.0 13,122.3 107,418.0 55,889 84,979 437,378 Table 4.5–3: Annual and ozone season-day emissions from nonroad mobile sources in the 2015 8hour ozone NAA. Annual emissions Season day emissions (tons/year) (pounds/day) Category VOC NOX CO VOC NOX CO Agricultural 13.4 136.8 141.8 116 1,176 1,251 Airport GSE+APUs 33.4 169.9 917.4 156 788 4,348 Commercial 1,000.9 798.2 28,150.7 6,785 4,825 188,590 Construction 1,482.0 7,327.1 14,921.4 10,301 50,381 106,454 Industrial 122.8 862.6 3,409.8 780 5,116 22,130 Lawn and garden 2,779.6 494.9 48,420.7 26,376 4,276 498,467 Pleasure craft 176.5 66.4 764.5 3,277 1,659 19,787 Railway maintenance 0.6 2.8 8.1 4 19 58 Recreational 257.4 34.7 4,570.6 3,140 386 59,615 Aircraft 1,237.6 2,401.2 8,151.8 5,981 11,975 39,373 Locomotives 43.0 898.4 173.6 235 4,909 948 Total 7,147.2 13,193.0 109,630.4 57,151 85,510 941,021 4.6 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. EPA, 2009. Emission Factors for Locomotives. Office of Transportation and Air Quality. Rep. EPA-420-F09-025, April 2009. 2020 Periodic Emissions Inventory for Ozone Precursors Page 54 of 77 FAA, 2021a. Operational Network (OPSNET) database. Federal Aviation Administration. https://aspm.faa.gov/opsnet/sys/Airport.asp. FAA, 2021b. Traffic Flow Management System Counts (TFMSC) database. Federal Aviation Administration. https://aspm.faa.gov/tfms/sys/Airport.asp. NCEI, 2020. 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. 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. 2020 Periodic Emissions Inventory for Ozone Precursors Page 55 of 77 Onroad Mobile Sources 5.1 Introduction Onroad mobile source emissions for ozone precursors, such as volatile organic compounds (VOCs), oxides of nitrogen (NOX), and carbon monoxide (CO), have been calculated for Maricopa County, the 8-hour ozone nonattainment area for the 2008 ozone standards, and the 8-hour ozone nonattainment area for the 2015 ozone standards for the 2020 Periodic Emissions Inventory (PEI). Motor Vehicle Emission Simulator (MOVES3) is the latest model developed by the U.S. Environmental Protection Agency (EPA) for the purpose of estimating onroad and off-network motor vehicle emission factors. The MOVES3 inputs were developed using local data from multiple sources such as the Arizona Department of Transportation (ADOT), the Arizona Department of Agriculture (AZDA), the Maricopa Association of Governments (MAG) Transportation Division, and the National Centers for Environmental Information (NCEI). The main references for preparing the onroad mobile source portion of the 2020 emissions inventory were: • Emissions Inventory Guidance for Implementation of Ozone and Particulate Matter National Ambient Air Quality Standards (NAAQS) and Regional Haze Regulations (US EPA, 2017); • Policy Guidance on the Use of MOVES3 for State Implementation Plan Development, Transportation Conformity, General Conformity, and Other Purposes (US EPA, 2020a); • MOVES3 Technical Guidance: Using MOVES to Prepare Emission Inventories for State Implementation Plans and Transportation Conformity (US EPA, 2020b); • Overview of EPA’s Motor Vehicle Emission Simulator (MOVES3) (US EPA, 2021a); and • Instructions and Best Practices for Development and Submittal of Onroad Inputs for the 2020 National Emissions Inventory (NEI) (US EPA, 2021b). 5.2 Onroad Emissions Onroad exhaust, evaporative, refueling, and extended idling emissions were estimated by MOVES3. 5.2.1 MOVES3 Model Onroad mobile source emissions were calculated using the EPA state-of-the-art emissions modeling tool, MOVES3. MOVES3 is intended for official use to estimate national, state, and county level inventories of criteria air pollutants from highway vehicles. The user of MOVES3 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 2020, MOVES3 was executed using local input data for each geographical area (Maricopa County, the 8-hour ozone nonattainment area for the 2008 ozone standards, and the 8-hour ozone nonattainment area for the 2015 ozone 2020 Periodic Emissions Inventory for Ozone Precursors Page 56 of 77 standards). Each scenario was created using the county scale setting and the inventory calculation type. The specific MOVES3 model RunSpec and RunSpec summaries are described in Appendix C. 5.2.2 Local Input Data Used with the MOVES3 Model MOVES3 requires local data such as the presence of inspection and maintenance (I/M) programs, meteorological data, vehicle populations, source type age distribution, annual vehicle miles traveled (VMT), monthly/daily/hourly fractions, road type distribution, average speed distribution, fuel data, and alternative vehicle and fuel technologies (AVFT). 5.2.2.1 Fuel Data Regarding the fuel local input data, MOVES3 provides three MOVES tables, which are [fuelsupply], [fuelformulation], and [fuelusagefraction]. The fuel data for each month were derived from the 2020 fuel inspection results in Maricopa County provided by AZDA. The fuel data for Maricopa County were also applied to the 8-hour ozone nonattainment areas. The specific MOVES tables for fuel data are presented in Appendix C. 5.2.2.2 I/M Programs MOVES3 has an [IMCoverage] table for I/M programs, which reflects the actual proportions of vehicles subject to the specified levels of inspection. The term “I/M vehicles” denotes vehicles which are required to undergo an emission test and/or inspection under the Vehicle Inspection/Maintenance Program. It is important to note that participation in the I/M program is required for all vehicles registered in 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 the 8-hour ozone nonattainment area and Maricopa County participate in the I/M program, while the remaining 8.4 percent do not participate in the program. These percentages reflect the control measures “Tougher Enforcement of Vehicle Registration and Emissions Test Compliance” and “Expansion of Area A Boundaries,” described in the MAG Eight-Hour Ozone Redesignation Request and Maintenance Plan for the Maricopa Nonattainment Area (MAG, 2009). This percentage is directly applied to the Compliance Factor in the [IMCoverage] table. The same I/M programs were applied for Maricopa County and the 8-hour ozone nonattainment areas. The specific MOVES table for I/M programs is presented in Appendix C. 5.2.2.3 Meteorological Data MOVES3 requires hourly temperature and relative humidity data by specific month of the year. Meteorological data for the Phoenix Sky Harbor International Airport in 2020 were obtained from the National Centers for Environmental Information (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 nonattainment areas. The specific MOVES table [ZoneMonthHour] for meteorological data is presented in Appendix C. 5.2.2.4 Vehicle Population In MOVES3, 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 2020 Periodic Emissions Inventory for Ozone Precursors Page 57 of 77 was obtained from the July 2019 vehicle registration data provided by ADOT since the July 2020 vehicle registration data are not available at ADOT. The vehicle population data were allocated to the 13 MOVES source types based on MOVES default vehicle population fractions for Maricopa County in 2019 and MOVES default source type population growth rates for Maricopa County between 2019 and 2020 were applied to calculate source type population for 2020. The vehicle population in the 8-hour ozone nonattainment areas were estimated by applying the population ratio of the two geographical areas in 2020 to the vehicle population in Maricopa County. The population ratio for 2020 was derived from the MAG socioeconomic data. The specific MOVES table [SourceTypeYear] for vehicle population is presented in Appendix C. 5.2.2.5 Source Type Age Distribution MOVES3 categorizes vehicles according to vehicle classes and model years. The source type age distribution input table was prepared using the EPA MOVES data converter with the July 2019 vehicle registration data from ADOT and the EPA MOVES age distribution projection tool to project the 2019 age distribution to the 2020 age distribution. The same source type age distribution was applied for Maricopa County and the 8-hour ozone nonattainment areas. The specific MOVES table [SourceTypeAgeDistribution] for source type age distribution is presented in Appendix C. 5.2.2.6 Annual VMT The 2020 annual VMTs were used to estimate onroad exhaust and evaporative emissions. The 2020 annual average daily VMTs for Maricopa County and the 8-hour ozone nonattainment areas were derived from the 2020 traffic assignment data generated by the MAG Activity Based Model (ABM). The annual average daily VMTs were multiplied by 366 days to obtain the annual VMTs. The specific MOVES table [HPMSvTypeYear] for annual VMT is presented in Appendix C. 5.2.2.7 Road Type Distribution MOVES3 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 2020 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 within the class. The specific MOVES table [RoadTypeDistribution] for road type distribution is presented in Appendix C. 5.2.2.8 VMT Fraction Since VMT varies by month, day of week, and hour, MOVES3 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 2020. The specific MOVES tables [MonthVMTFraction], [DayVMTFraction], and [HourVMTFraction] for VMT fractions are presented in Appendix C. 5.2.2.9 Average Speed Distribution In MOVES3, vehicle power, speed, and acceleration have a significant effect on vehicle emissions for all pollutants. MOVES3 estimates those emission effects by assigning activity to operating mode distributions, which are determined by the distribution of vehicle hours traveled (VHT) in sixteen 2020 Periodic Emissions Inventory for Ozone Precursors Page 58 of 77 speed bins. Local estimates of average speed were developed by post-processing the output from the 2020 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 nonattainment areas. The specific MOVES table [AvgSpeedDistribution] for the average speed distribution is presented in Appendix C. 5.2.2.10 Alternative Vehicle and Fuel Technologies (AVFT) Strategy MOVES3 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 main AVFT input was obtained from the MOVES3 default database for Maricopa County and transit bus portion was updated with the 2020 transit bus fleet information provided by the Valley Metro. The same AVFT strategy was applied for Maricopa County and the 8-hour ozone nonattainment areas. The specific MOVES table [AVFT] for AVFT strategy is shown in Appendix C. 5.2.3 MOVES3 Outputs MOVES3 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, other buses, 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 5.2.4 MOVES3 Emission Estimates MOVES3 was used to generate onroad emissions by source type, road type, weekday/weekend day, and month. By specifying the output time aggregate level as 24-hour day, MOVES3 produces typical weekday and weekend emissions for each month. The annual emissions were calculated by aggregating monthly onroad emissions, which were derived by multiplying number of days and typical day emissions for each weekday/weekend day and month. The ozone season-day emissions were calculated by averaging the ozone season work weekday emissions from June through August. Tables 5.2–1 through 5.2-3 show the calculated annual and ozone season-day VOC, NOX, and CO emissions by road type and source type in Maricopa County, the 8-hour ozone nonattainment area for the 2008 ozone standards, and the 8-hour ozone nonattainment area for the 2015 ozone standards, respectively. 2020 Periodic Emissions Inventory for Ozone Precursors Page 59 of 77 Table 5.2–1: Annual and season-day onroad mobile source emissions in Maricopa County, by road type and source type. Annual emissions Season day emissions (tons/year) (pounds/day) Road type Source type VOC NOX CO VOC NOX CO Motorcycle 378.0 0.7 31.1 2,418 4 153 Passenger car 5,523.0 1,050.2 15,730.7 39,900 6,601 86,980 Passenger truck 1,383.3 543.8 5,189.5 10,066 3,733 30,087 Light commercial truck 563.3 347.9 3,960.9 4,048 2,496 23,562 Other buses 6.2 37.3 73.6 38 215 500 Transit bus 1.3 4.2 18.9 7 24 118 OffSchool bus 1.4 9.3 11.4 7 63 88 Network Refuse truck 1.9 20.9 17.0 10 113 98 Single unit short-haul truck 189.0 735.7 1,302.2 1,215 4,248 8,657 Single unit long-haul truck 5.8 37.6 34.1 34 187 171 Motor home 14.8 5.1 102.6 116 31 601 Combination short-haul truck 6.3 111.1 60.0 29 634 377 Combination long-haul truck 23.6 333.3 198.0 128 1,789 1,110 Motorcycle 3.7 3.5 51.8 22 18 294 Passenger car 27.6 80.4 1,683.7 173 479 12,744 Passenger truck 12.0 50.6 510.4 75 298 3,808 Light commercial truck 5.1 24.8 213.7 32 148 1,594 Other buses 2.0 28.7 55.4 11 153 319 Transit bus 0.4 1.4 30.6 2 7 169 Rural Restricted School bus 0.5 6.2 4.5 3 33 25 Access Refuse truck 0.3 5.5 9.3 2 29 51 Single unit short-haul truck 20.7 197.5 454.7 121 1,054 2,592 Single unit long-haul truck 1.2 11.3 28.9 7 60 164 Motor home 3.0 11.9 99.2 19 64 575 Combination short-haul truck 8.3 211.4 135.0 45 1,126 741 Combination long-haul truck 29.3 822.0 356.5 161 4,379 1,961 Motorcycle 11.7 7.7 122.9 72 39 684 Passenger car 75.7 155.2 3,608.1 480 924 27,683 Passenger truck 32.1 100.5 1,015.4 203 595 7,630 Light commercial truck 15.1 52.7 475.7 96 316 3,564 Other buses 0.7 9.7 12.3 4 51 69 Transit bus 0.2 0.5 10.7 1 3 58 Rural Unrestricted School bus 0.2 2.2 1.6 1 11 9 Access Refuse truck 0.3 3.8 6.2 1 21 34 Single unit short-haul truck 15.7 149.8 241.3 92 805 1,358 Single unit long-haul truck 0.9 9.1 15.5 5 49 87 Motor home 2.1 8.6 40.1 13 46 228 Combination short-haul truck 1.4 33.3 22.7 7 171 122 Combination long-haul truck 4.9 127.6 60.9 26 656 326 2020 Periodic Emissions Inventory for Ozone Precursors Page 60 of 77 Road type Source type Motorcycle Passenger car Passenger truck Light commercial truck Other buses Transit bus Urban Restricted School bus Access 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 Other buses Transit bus Urban Unrestricted School bus Access 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/year) VOC NOX CO 68.8 56.3 861.1 541.8 1,329.1 28,400.4 233.2 853.6 8,396.0 104.8 434.0 3,706.3 7.4 101.9 156.9 1.9 5.5 108.6 2.1 23.1 16.4 2.4 39.1 66.3 156.1 1,472.7 2,861.5 9.3 86.9 183.0 21.7 87.0 552.4 15.6 385.7 254.8 54.8 1,484.3 682.2 223.5 87.4 1,665.5 1,360.6 2,120.9 60,054.1 567.4 1,403.6 16,091.5 282.1 764.4 7,693.7 7.6 95.6 88.7 2.6 7.2 86.0 2.3 26.0 15.1 2.1 33.0 44.2 128.8 1,317.7 1,618.3 7.6 84.4 104.1 17.3 71.7 226.7 6.9 186.5 114.7 23.6 694.2 332.2 Season day emissions (pounds/day) VOC NOX CO 430 291 4,853 3,498 7,757 211,761 1,501 4,971 61,191 685 2,582 27,446 43 543 831 11 31 597 12 125 92 14 212 371 940 8,098 15,930 56 482 1,020 135 476 3,001 88 2,088 1,437 309 8,012 3,868 1,406 448 9,489 8,742 12,889 458,456 3,632 8,563 120,885 1,820 4,766 57,884 44 525 504 15 41 480 13 144 86 12 182 250 770 7,267 9,242 46 467 595 108 394 1,286 40 1,033 658 135 3,838 1,912 Table 5.2–2: Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone nonattainment area for the 2008 ozone standards, by road type and source type. Annual emissions Season day emissions (tons/year) (pounds/day) Road type Source type VOC NOX CO VOC NOX CO Motorcycle 383.0 0.8 31.5 2,450 4 155 Passenger car 5,557.3 1,056.0 15,830.5 40,155 6,634 87,529 Passenger truck 1,398.0 548.4 5,245.2 10,176 3,761 30,409 Light commercial truck 562.5 346.3 3,956.2 4,042 2,481 23,533 OffOther buses 6.1 35.8 73.3 38 207 500 Network Transit bus 1.2 3.9 18.0 7 23 113 School bus 1.4 9.0 11.3 7 61 88 Refuse truck 1.8 20.4 16.6 10 110 95 Single unit short-haul truck 187.4 722.0 1,291.6 1,207 4,181 8,605 2020 Periodic Emissions Inventory for Ozone Precursors Page 61 of 77 Road type Source type Single unit long-haul truck Motor home Combination short-haul truck Combination long-haul truck Motorcycle Passenger car Passenger truck Light commercial truck Other buses Transit bus Rural Restricted School bus Access 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 Other buses Transit bus Rural Unrestricted School bus Access 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 Other buses Urban Restricted Transit bus Access School bus Refuse truck Single unit short-haul truck Single unit long-haul truck Motor home Annual emissions (tons/year) VOC NOX CO 5.7 36.6 33.3 14.8 5.1 102.6 5.7 99.4 55.3 20.0 285.2 171.1 2.2 2.1 31.9 17.7 53.7 1,120.0 7.7 33.8 342.9 3.2 16.3 140.4 1.1 16.3 31.9 0.2 0.8 17.2 0.3 3.5 2.6 0.2 3.8 6.4 14.1 134.2 314.1 0.8 7.7 19.9 2.1 8.1 69.1 4.7 119.3 75.9 16.5 465.5 200.9 9.9 6.6 104.2 63.8 131.5 3,046.6 27.2 85.5 862.1 12.6 44.3 399.4 0.6 7.8 9.8 0.2 0.4 8.5 0.2 1.8 1.3 0.2 3.3 5.4 13.6 129.2 207.7 0.8 7.9 13.4 1.8 7.4 34.4 1.1 26.7 18.2 3.9 102.8 49.0 69.1 56.6 864.7 543.3 1,333.2 28,487.3 235.0 860.3 8,462.1 104.3 432.1 3,690.3 7.4 101.4 156.2 1.9 5.4 106.7 2.1 23.1 16.3 2.4 39.0 66.3 156.1 1,473.3 2,863.0 9.3 86.9 183.1 21.7 86.9 552.1 Season day emissions (pounds/day) VOC NOX CO 33 182 167 116 31 601 26 571 350 108 1,534 961 13 11 181 110 321 8,498 48 200 2,569 20 97 1,048 6 87 185 1 4 95 2 19 14 1 20 35 82 714 1,794 5 41 114 13 43 403 26 635 416 91 2,479 1,103 61 33 580 404 781 23,331 172 505 6,467 80 265 2,988 3 41 55 1 2 46 1 9 7 1 18 29 79 695 1,169 5 42 75 11 40 195 6 138 98 21 529 263 432 292 4,873 3,507 7,781 212,418 1,513 5,010 61,677 682 2,571 27,329 43 541 828 11 30 587 12 125 91 14 212 371 940 8,101 15,939 56 482 1,020 135 475 2,999 2020 Periodic Emissions Inventory for Ozone Precursors Page 62 of 77 Road type Source type Combination short-haul truck Combination long-haul truck Motorcycle Passenger car Passenger truck Light commercial truck Other buses Transit bus Urban Unrestricted School bus Access 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/year) VOC NOX CO 15.5 382.5 252.8 54.5 1,476.5 678.6 224.6 88.0 1,675.2 1,366.5 2,131.1 60,324.8 572.6 1,417.0 16,242.2 281.3 762.4 7,672.6 7.6 95.7 88.8 2.5 7.1 85.0 2.3 26.1 15.1 2.1 33.0 44.2 129.0 1,319.6 1,620.9 7.6 84.5 104.3 17.3 71.7 226.8 6.9 186.0 114.4 23.6 694.3 332.3 Season day emissions (pounds/day) VOC NOX CO 87 2,071 1,426 307 7,970 3,848 1,413 451 9,544 8,778 12,950 460,445 3,665 8,643 121,999 1,814 4,752 57,717 44 526 504 15 40 474 14 145 86 12 182 250 771 7,277 9,257 46 467 595 108 394 1,287 39 1,030 656 135 3,838 1,912 Table 5.2–3: Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone nonattainment area for the 2015 ozone standards, by road type and source type. Annual emissions Season day emissions (tons/year) (pounds/day) Road type Source type VOC NOX CO VOC NOX CO Motorcycle 397.1 0.8 32.7 2,541 4 161 Passenger car 5,690.1 1,080.6 16,211.5 41,121 6,785 89,632 Passenger truck 1,444.2 565.4 5,419.3 10,514 3,873 31,417 Light commercial truck 567.4 348.3 3,992.7 4,079 2,492 23,750 Other buses 6.2 36.3 75.3 38 210 514 Transit bus 1.2 3.9 17.8 7 23 113 OffSchool bus 1.4 9.2 11.7 7 63 91 Network Refuse truck 1.8 20.5 16.7 10 111 96 Single unit short-haul truck 189.5 728.6 1,306.4 1,221 4,221 8,707 Single unit long-haul truck 5.8 36.9 33.6 34 184 168 Motor home 15.0 5.1 103.7 117 32 607 Combination short-haul truck 5.8 99.6 55.7 26 573 353 Combination long-haul truck 20.1 286.4 171.9 109 1,540 967 Motorcycle 2.2 2.1 31.9 13 11 181 Passenger car 17.7 53.7 1,119.3 110 321 8,493 Passenger truck 7.8 34.1 345.9 48 202 2,592 Rural Light commercial truck 3.2 16.0 138.3 20 95 1,032 Restricted Other buses 1.1 16.3 32.0 6 87 185 Access Transit bus 0.2 0.7 16.8 1 4 93 School bus 0.3 3.5 2.6 2 19 14 Refuse truck 0.2 3.8 6.4 1 20 35 2020 Periodic Emissions Inventory for Ozone Precursors Page 63 of 77 Road type Source type 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 Other buses Transit bus Rural Unrestricted School bus Access 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 Other buses Transit bus Urban Restricted School bus Access 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 Urban Other buses Unrestricted Transit bus Access School bus Refuse truck Single unit short-haul truck Single unit long-haul truck Annual emissions (tons/year) VOC NOX CO 14.1 134.2 314.1 0.8 7.7 19.9 2.1 8.1 69.0 4.6 118.8 75.6 16.6 466.2 201.2 11.2 7.3 116.3 71.3 145.3 3,388.4 30.7 95.4 965.9 13.9 48.4 437.5 0.6 8.4 10.6 0.2 0.5 9.0 0.2 2.0 1.4 0.2 3.6 5.8 14.7 140.0 224.3 0.9 8.5 14.4 2.0 8.0 37.0 1.2 28.9 19.7 4.3 111.5 53.2 69.1 56.6 864.7 542.9 1,332.3 28,469.6 237.0 867.7 8,535.3 102.8 425.7 3,635.4 7.4 101.8 156.7 1.8 5.3 104.4 2.1 23.2 16.4 2.4 39.0 66.3 156.2 1,473.4 2,863.4 9.3 86.9 183.0 21.6 86.7 550.6 15.4 380.9 251.7 54.6 1,478.5 679.6 228.1 89.4 1,701.1 1,385.9 2,160.9 61,167.3 586.1 1,450.2 16,621.8 281.2 762.1 7,668.6 7.6 96.5 89.6 2.5 7.0 83.7 2.4 26.4 15.3 2.2 33.3 44.6 130.2 1,331.8 1,635.9 7.7 85.3 105.2 Season day emissions (pounds/day) VOC NOX CO 82 714 1,794 5 41 114 13 43 402 25 632 414 91 2,482 1,105 69 37 647 453 864 26,010 194 565 7,260 89 290 3,280 4 44 60 1 2 49 1 10 8 1 19 32 86 754 1,263 5 46 81 12 43 210 6 149 106 23 576 286 432 292 4,873 3,505 7,776 212,285 1,526 5,054 62,210 672 2,533 26,922 43 542 830 11 30 574 12 126 92 14 212 370 940 8,102 15,941 56 482 1,020 135 474 2,991 87 2,063 1,420 307 7,981 3,853 1,435 458 9,693 8,903 13,131 466,880 3,752 8,846 124,852 1,814 4,751 57,688 45 530 509 15 40 467 14 146 87 12 183 252 778 7,344 9,343 46 472 601 2020 Periodic Emissions Inventory for Ozone Precursors Page 64 of 77 Road type Source type Motor home Combination short-haul truck Combination long-haul truck Annual emissions (tons/year) VOC NOX CO 17.4 72.1 228.2 6.9 186.3 114.5 23.8 699.3 334.6 Season day emissions (pounds/day) VOC NOX CO 108 397 1,295 40 1,032 657 136 3,865 1,925 5.3 Quality Assurance Process 5.3.1 VMT Estimates Normal quality assurance procedures, including automated and manual consistency checks, were conducted by MAG in developing the 2020 TransCAD traffic assignment network used to generate the VMT data. The VMT estimates using the MAG ABM have been validated by the MAG transportation modeling group. 5.3.2 Emission Estimates The quality assurance process performed on the MOVES3 analyses included accuracy, completeness, and reasonableness checks. For reasonableness, the 2020 onroad mobile source 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 ozone season-day onroad mobile source emissions, by road type, for Maricopa County, the 8-hour ozone nonattainment area for the 2008 ozone standards, and the 8-hour ozone nonattainment area for the 2015 ozone standards, respectively. Tables 5.4–4 through 5.4–6 also summarize annual and ozone season-day emissions from onroad mobile sources, by vehicle type. Table 5.4–7 summarizes the annual and ozone seasonday emissions for VOC, NOX, and CO from all onroad mobile sources in Maricopa County, the 8-hour ozone nonattainment area for the 2008 ozone standards, and the 8-hour ozone nonattainment area for the 2015 ozone standards in 2020. Table 5.4–1: Annual and ozone season-day onroad mobile source emissions in Maricopa County, by road type. Annual emissions Season day emissions (tons/year) (pounds/day) Road type VOC NOX CO VOC NOX CO Off-network 8,097.9 3,237.1 26,730.0 58,016 20,138 152,502 Rural restricted access 114.1 1,455.2 3,633.7 673 7,848 25,037 Rural unrestricted access 161.0 660.7 5,633.4 1,001 3,687 41,852 Urban restricted access 1,219.9 6,359.2 46,245.9 7,722 35,668 332,398 Urban unrestricted access 2,632.4 6,892.6 88,134.8 16,783 40,557 661,727 Total 12,225.3 18,604.8 170,377.8 84,195 107,898 1,213,516 2020 Periodic Emissions Inventory for Ozone Precursors Page 65 of 77 Table 5.4–2: Annual and ozone season-day onroad mobile source emissions in the 8 hour ozone nonattainment area for the 2008 ozone standards, by road type. Annual emissions Season day emissions (tons/year) (pounds/day) Road type VOC NOX CO VOC NOX CO Off-network 8,144.9 3,168.9 26,836.5 58,375 19,780 153,106 Rural restricted access 70.8 865.1 2,373.2 418 4,671 16,455 Rural unrestricted access 135.9 555.2 4,760.0 845 3,098 35,303 Urban restricted access 1,222.6 6,357.2 46,379.5 7,739 35,661 333,406 Urban unrestricted access 2,643.9 6,916.5 88,546.6 16,854 40,695 664,726 Total 12,218.1 17,862.9 168,895.8 84,231 103,905 1,202,996 2020 Periodic Emissions Inventory for Ozone Precursors Page 66 of 77 Table 5.4–3: Annual and ozone season-day onroad mobile source emissions in the 8 hour ozone nonattainment area for the 2015 ozone standards, by road type. Annual emissions Season day emissions (tons/year) (pounds/day) Road type VOC NOX CO VOC NOX CO Off-network 8,345.6 3,221.6 27,449.0 59,824 20,111 156,576 Rural restricted access 70.9 865.2 2,373.0 417 4,671 16,454 Rural unrestricted access 151.4 607.8 5,283.5 944 3,399 39,292 Urban restricted access 1,222.6 6,358.0 46,377.1 7,740 35,667 333,381 Urban unrestricted access 2,682.0 7,000.6 89,810.4 17,098 41,195 674,249 Total 12,472.5 18,053.2 171,293.0 86,023 105,043 1,219,952 Table 5.4–4: Annual and ozone season-day onroad mobile source emissions in Maricopa County, by source type. Annual emissions Season day emissions (tons/year) (pounds/day) Source type VOC NOX CO VOC NOX CO Motorcycle 685.7 155.6 2,732.4 4,348 800 15,473 Passenger car 7,528.7 4,735.8 109,477.0 52,793 28,650 797,624 Passenger truck 2,228.0 2,952.1 31,202.8 15,477 18,160 223,601 Light commercial truck 970.4 1,623.8 16,050.3 6,681 10,308 114,050 Other buses 23.9 273.2 386.9 140 1,487 2,223 Transit bus 6.4 18.8 254.8 36 106 1,422 School bus 6.5 66.8 49.0 36 376 300 Refuse truck 7.0 102.3 143.0 39 557 804 Single unit short-haul truck 510.3 3,873.4 6,478.0 3,138 21,472 37,779 Single unit long-haul truck 24.8 229.3 365.6 148 1,245 2,037 Motor home 58.9 184.3 1,021.0 391 1,011 5,691 Combination short-haul truck 38.5 928.0 587.2 209 5,052 3,335 Combination long-haul truck 136.2 3,461.4 1,629.8 759 18,674 9,177 Total 12,225.3 18,604.8 170,377.8 84,195 107,898 1,213,516 Table 5.4–5: Annual and ozone season-day onroad mobile source emissions in the 8 hour ozone nonattainment area for the 2008 ozone standards, by source type. Source type Annual emissions Season day emissions (tons/year) (pounds/day) VOC NOx CO VOC NOx CO Motorcycle 688.8 154.1 2,707.5 4,369 791 15,333 Passenger car 7,548.6 4,705.5 108,809.2 52,954 28,467 792,221 Passenger truck 2,240.5 2,945.0 31,154.5 15,574 18,119 223,121 Light commercial truck 963.9 1,601.4 15,858.9 6,638 10,166 112,615 Other buses 22.8 257.0 360.0 134 1,402 2,072 Transit bus 6.0 17.6 235.4 35 99 1,315 School bus 6.3 63.5 46.6 36 359 286 Refuse truck 6.7 99.5 138.9 38 542 780 2020 Periodic Emissions Inventory for Ozone Precursors Page 67 of 77 Source type Single unit short-haul truck Single unit long-haul truck Motor home Combination short-haul truck Combination long-haul truck Total Annual emissions (tons/year) VOC NOx CO 500.2 3,778.3 6,297.3 24.2 223.6 354.0 57.7 179.2 985.0 33.9 813.9 516.6 118.5 3,024.3 1,431.9 12,218.1 17,862.9 168,895.8 Season day emissions (pounds/day) VOC NOx CO 3,079 20,968 36,764 145 1,214 1,971 383 983 5,485 184 4,445 2,946 662 16,350 8,087 84,231 103,905 1,202,996 Table 5.4–6: Annual and ozone season-day onroad mobile source emissions in the 8-hour ozone nonattainment area for the 2015 ozone standards, by source type. Source type Annual emissions Season day emissions (tons/year) (pounds/day) VOC NOx CO VOC NOx CO Motorcycle 707.7 156.2 2,746.7 4,490 802 15,555 Passenger car 7,707.9 4,772.8 110,356.1 54,092 28,877 803,300 Passenger truck 2,305.8 3,012.8 31,888.2 16,034 18,540 228,331 Light commercial truck 968.5 1,600.5 15,872.5 6,674 10,161 112,672 Other buses 22.9 259.3 364.2 136 1,413 2,098 Transit bus 5.9 17.4 231.7 35 99 1,296 School bus 6.4 64.3 47.4 36 364 292 Refuse truck 6.8 100.2 139.8 38 545 785 Single unit short-haul truck 504.7 3,808.0 6,344.1 3,107 21,135 37,048 Single unit long-haul truck 24.5 225.3 356.1 146 1,225 1,984 Motor home 58.1 180.0 988.5 385 989 5,505 Combination short-haul truck 33.9 814.5 517.2 184 4,449 2,950 Combination long-haul truck 119.4 3,041.9 1,440.5 666 16,444 8,136 Total 12,472.5 18,053.2 171,293.0 86,023 105,043 1,219,952 Table 5.4–7: Annual and ozone season-day emissions from all onroad mobile sources in Maricopa County, the 8-hour ozone nonattainment area for the 2008 ozone standards, and the 8-hour ozone nonattainment area for the 2015 ozone standards. Annual emissions Season day emissions (tons/year) (pounds/day) Geographic area VOC NOX CO VOC NOX CO Maricopa County 12,225.3 18,604.8 170,377.8 84,195 107,898 1,213,516 8-hour ozone nonattainment area 12,218.1 17,862.9 168,895.8 84,231 103,905 1,202,996 for the 2008 ozone standards 8-hour ozone nonattainment area 12,472.5 18,053.2 171,293.0 86,023 105,043 1,219,952 for the 2015 ozone standards 2020 Periodic Emissions Inventory for Ozone Precursors Page 68 of 77 5.5 References 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. EPA, 2020a. Policy Guidance on the Use of MOVES3 for State Implementation Plan Development, Transportation Conformity, General Conformity, and Other Purposes, U.S. Environmental Protection Agency, EPA-420-B-20-044, November 2020. EPA, 2020b. MOVES3 Technical Guidance: Using MOVES to Prepare Emission Inventories for State Implementation Plans and Transportation Conformity, U.S. Environmental Protection Agency, EPA-420-B-20-052, November 2020. EPA, 2021a. Overview of EPA’s Motor Vehicle Emission Simulator (MOVES3), EPA-420-R-21004, March 2021. EPA, 2021b, Instructions and Best Practices for Development and Submittal of Onroad Inputs for the 2020 National Emissions Inventory (NEI), U.S. Environmental Protection Agency, February 2021. MAG, 2009. MAG Eight-Hour Ozone Redesignation Request and Maintenance Plan for the Maricopa Nonattainment Area, Maricopa Association of Governments, February 2009. 2020 Periodic Emissions Inventory for Ozone Precursors Page 69 of 77 Biogenic Sources 6.1 Introduction Volatile organic compounds (VOC), carbon monoxide (CO), and nitrogen oxides (NOX) emissions are reported as ozone precursor emissions. Biogenic emissions have been estimated for the 2020 Periodic Emissions Inventory (PEI) for ozone precursors in Maricopa County and the 8-hour ozone nonattainment areas (NAA) for the 2008 and 2015 ozone standards using the Model of Emissions of Gases and Aerosols from Nature (MEGAN). MEGAN is a state-of-the-art biogenic emissions model developed initially at the National Center for Atmospheric Research (NCAR) and maintained at the University of California, Irvine (Guenther et al., 2017, 2012; Jiang et al., 2011; Guenther, 2006a, 2006b, and 2007; Guenther et al., 2006). Some corrections and improvements were made in the latest official version of MEGAN3 (Jiang et al., 2018; Guenther et al., 2017) compared to its previous versions. The linear decrease in emissions proposed by Guenther et al. (2012) is implemented as reference for all 28 biogenic VOC gases and CO. The simulation with the MEGAN3 approach predicts a 32% reduction in the 2017 annual VOC emissions in comparison to the value predicted by MEGAN2.1 in the 8-hour zone NAA. However, NOX emission predicted by MEGAN3 is increased to more than double compared to the value from MEGAN2.1. In an effort to improve the meteorology field generated for MEGAN by the Weather Research and Forecasting Model (WRF), WRF Data Assimilation (WRFDA) were implemented to adjust the model using observations nudging or gridded analysis nudging. Based on 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 Preprocessing System (WPS) outputs to update lateral boundary and initial conditions to provide an improved estimate of the atmospheric state. The application of the observation nudging and gridded analysis nudging 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 2020 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 4-km 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 nonattainment areas for the 2008 and 2015 ozone 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 nonattainment areas for the 2008 and 2015 ozone 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 nonattainment areas), and 0.0 for grid cells outside the target area. As shown in Figure 6.2–1, biogenic emissions for Maricopa County and 2020 Periodic Emissions Inventory for Ozone Precursors Page 70 of 77 the 8-hour ozone nonattainment areas were extracted from MEGAN simulations using the mask values from all of corresponding masked grid cells in the 4-km modeling domain as weights. Table 6.2–1: The 4-km gridded modeling domain in the LCC coordinate system. Grid horizontal Domain LCC range resolution Grid size (103 meters) Target area 4 km × 4 km 56 × 47 (-130, –119) – (354, 473) 8-hour ozone NAAs for 2008 and 2015 ozone standards and Maricopa County Figure 6.2–1: The WRF 4-km × 4-km grid (white), MEGAN 4-km × 4-km grid (green), the 8-hour ozone nonattainment area for the 2008 ozone standard (blue), the 8-hour ozone nonattainment area for the 2015 ozone standard (blue plus yellow), 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. 2020 Periodic Emissions Inventory for Ozone Precursors Page 71 of 77 6.3.1 Land Cover Data Land cover data such as eight-day average leaf area index (LAI) and fraction of surface area covered by each growth form (crop, grass, shrub, needle leaf tree) and ecotype files for MEGAN3 are typically based on satellite and ground observations. The grid-specific ecotype and growth form csv files created by the pre-processor are used as the model input. The LAI in non-urban grid cells are based on the 1-km NASA eight-day MODIS v6 satellite observations for 2020. LAI in the Phoenix urban grid cells is determined based on an approach described by Boyer (2018). Emission factors and vegetation light dependence fractions are specified from gridded maps based on observations of vegetation biogenic emissions for all of the vegetation types and tree species composition. Eight shell scripts control FORTRAN programs to calculate gridded biogenic emission rates from the inputs described above and the following meteorological conditions in each grid. 6.3.2 Meteorological Data Meteorological data were obtained from WRF version 4.3 model runs by post-processing with the Meteorology-Chemistry Interface Processor (MCIP v5.0). 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 2 meters above surface, air pressure, humidity, wind speed, toplayer 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 6.3.2–1 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 rainfall 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 6.3.2–2 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 8745. 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 6.3.2–3, the R2 2020 Periodic Emissions Inventory for Ozone Precursors Page 72 of 77 values for temperature, water vapor mixing ratio, wind speed, and solar radiation using WRF FDDA are 0.99, 0.97, 0.80, and 0.95, respectively. This indicates that WRF with FDDA generates a more realistic set of meteorological inputs for use in the estimation of biogenic emissions. Figure 6.3.2–1: 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 in 2020. 2020 Periodic Emissions Inventory for Ozone Precursors Page 73 of 77 Figure 6.3.2–2: Locations of NWS and AZMET meteorological stations. 2020 Periodic Emissions Inventory for Ozone Precursors Page 74 of 77 Figure 6.3.2–3: Paired hourly modeled and observed data in 2020 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. 6.4 Emission Estimation Average daily emissions for each month in 2020 are provided in Table 6.4–1 for Maricopa County and the 8-hour ozone nonattainment areas for the 2008 and 2015 ozone standards. Average daily emissions in 2020 and annual mean diurnal cycles of emissions of ozone precursors including VOC, NOx, and CO for Maricopa County and the 8-hour ozone nonattainment areas for the 2008 and 2015 ozone standards are illustrated in Figure 6.4–1. Monthly biogenic emissions for Maricopa County and the 8-hour ozone nonattainment areas for the 2008 and 2015 ozone 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. 2020 Periodic Emissions Inventory for Ozone Precursors Page 75 of 77 Table 6.4–1: Average daily biogenic emissions (pounds/day) by month in 2020 for Maricopa County and the 8-hour ozone nonattainment areas for the 2008 and 2015 ozone standards. 8-hour ozone NAA Maricopa County (2015) 8-hour NAA (2008) Month VOC NOX CO VOC NOX CO VOC NOX CO January 34,471 6,899 2,339 24,322 5,339 1,669 22,782 5,056 1,563 February 58,768 7,784 4,018 40,289 6,048 2,789 37,773 5,733 2,614 March 105,490 9,189 7,247 72,973 7,213 5,091 68,189 6,838 4,756 April 300,312 10,315 19,745 211,923 7,846 14,242 200,090 7,424 13,439 May 579,494 12,499 37,438 423,238 9,513 28,009 400,374 8,992 26,474 June 775,511 13,239 49,743 575,373 10,088 37,872 544,530 9,531 35,801 July 1,167,491 14,106 72,172 852,744 10,717 54,183 808,919 10,122 51,306 August 1,160,046 14,053 70,481 838,701 10,648 52,342 795,713 10,055 49,573 September 634,550 13,054 39,521 454,080 9,882 29,088 431,471 9,338 27,593 October 255,574 10,706 16,377 181,283 8,095 11,925 172,166 7,656 11,311 November 77,624 8,082 5,147 55,312 6,157 3,764 52,414 5,817 3,560 December 22,665 6,793 1,590 15,659 5,251 1,123 14,814 4,973 1,061 Figure 6.4–1: Daily biogenic emissions in 2020 and annual mean diurnal cycles of VOC, NOx, and CO emissions for Maricopa County and the 8-hour ozone nonattainment areas for the 2008 and 2015 ozone standards. 2020 Periodic Emissions Inventory for Ozone Precursors Page 76 of 77 Table 6.4–2: Monthly biogenic emissions (tons/month) in 2020 for Maricopa County and the 8hour ozone nonattainment areas for the 2008 and 2015 ozone standards. Maricopa County 8-hour ozone NAA (2015) 8-hour ozone NAA (2008) Month VOC NOX CO VOC NOX CO VOC NOX CO January 534.3 106.9 36.2 377.0 82.8 25.9 353.1 78.4 24.2 February 852.1 112.9 58.3 584.2 87.7 40.4 547.7 83.1 37.9 March 1,635.1 142.4 112.3 1,131.1 111.8 78.9 1,056.9 106.0 73.7 April 4,504.7 154.7 296.2 3,178.8 117.7 213.6 3,001.4 111.4 201.6 May 8,982.2 193.7 580.3 6,560.2 147.5 434.1 6,205.8 139.4 410.3 June 11,632.7 198.6 746.1 8,630.6 151.3 568.1 8,167.9 143.0 537.0 July 18,096.1 218.6 1,118.7 13,217.5 166.1 839.8 12,538.2 156.9 795.2 August 17,980.7 217.8 1,092.5 12,999.9 165.0 811.3 12,333.5 155.9 768.4 September 9,518.3 195.8 592.8 6,811.2 148.2 436.3 6,472.1 140.1 413.9 October 3,961.4 165.9 253.8 2,809.9 125.5 184.8 2,668.6 118.7 175.3 November 1,164.4 121.2 77.2 829.7 92.4 56.5 786.2 87.3 53.4 December 351.3 105.3 24.6 242.7 81.4 17.4 229.6 77.1 16.5 Total 79,213.2 1,934.0 4,989.1 57,372.8 1,477.3 3,707.3 54,361.1 1,397.0 3,507.5 6.5 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 nonattainment areas are provided in Table 6.5–1. Table 6.5–1: Annual and season-day biogenic emissions in 2020 for Maricopa County and the 8 hour ozone nonattainment areas for the 2008 and 2015 ozone standards. Annual emissions Season day emissions (tons/year) (pounds/day) Geographic Area VOC NOX CO VOC NOX CO Maricopa County 79,213.2 1,934.0 4,989.1 1,034,349 13,799 64,132 2008 ozone NAA 54,361.1 1,397.0 3,507.5 716,387 9,903 45,560 2015 ozone NAA 57,372.8 1,477.3 3,707.3 755,606 10,484 48,132 2020 Periodic Emissions Inventory for Ozone Precursors Page 77 of 77 6.6 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. Boyer, Doug, 2018. Biogenic Emission Modeling with MEGAN, TCEQ. 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. Guenther, A., T. Karl, P. Harley, C. Wiedinmyer, P. I. Palmer, and C. Geron, 2006. Estimates of global terrestrial isoprene emissions using MEGAN (Model of Emissions of Gases and Aerosols from Nature), Atmos. Chem. Phys., 6, 1–30. Guenther, A. B., Jiang, X., Heald, C. L., Sakulyanontvittaya, T., Duhl, T., Emmons, L. K., and Wang, X., 2012. The Model of Emissions of Gases and Aerosols from Nature version 2.1 (MEGAN2.1): an extended and updated framework for modeling biogenic emissions, Geosci. Model Dev., 5, 1471–1492, doi:10.5194/gmd-5-1471-2012. Guenther, A. B.; Tejas, S.; Huang, L.; Wentland, A.; Jung, J.; Beardsley, R.; Johnson, J.; Chun Hsieh, W.; Kemball-Cook, S.; Yarwood, G., 2017. A Next Generation Modelling System for Estimating Texas Biogenic VOC Emissions. Project Report of Texas Commission on Environmental Quality. Jiang, X., Guenther, A., Potosnak, M., Geron, C., Seco, R., Karl, T., Kim, S., Gu, L. and Pallardy, S., 2018. Isoprene emission response to drought and the impact on global atmospheric chemistry. Atmospheric Environment, 183, pp.69-83. 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 hightemperature agricultural region. Nature communications, 6, p.8753. http://doi.org/10.1038/ncomms9753. 2020 Periodic Emissions Inventory for Ozone Precursors Appendix A. Instructions for Reporting 2020 Annual Air Pollution Emissions Page A-1 of 30 Appendix A. Instructions for Reporting 2020 Annual Air Pollution Emissions 2020 Periodic Emissions Inventory for Ozone Precursors Appendix A. Instructions for Reporting 2020 Annual Air Pollution Emissions Page A-2 of 30 2020 Periodic Emissions Inventory for Ozone Precursors Appendix A. Instructions for Reporting 2020 Annual Air Pollution Emissions Page A-3 of 30 2020 Periodic Emissions Inventory for Ozone Precursors Appendix A. Instructions for Reporting 2020 Annual Air Pollution Emissions Page A-4 of 30 2020 Periodic Emissions Inventory for Ozone Precursors Appendix A. 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Instructions for Reporting 2020 Annual Air Pollution Emissions Page A-29 of 30 2020 Periodic Emissions Inventory for Ozone Precursors Appendix A. Instructions for Reporting 2020 Annual Air Pollution Emissions Page A-30 of 30 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-1 of 20 Appendix B. Rule Effectiveness (RE) Studies B-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 EPA recommends the use of RE 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. Equation 1: Emissions before the application of rule effectiveness. Uncontrolled emissions × [ 1 – ( CE ) ] = Emissions after control 100 tons × [ 1 – (0.90) ] = 10.0 tons Equation 2: Emissions including the application of an 83% 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 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. (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 instances, MCAQD limited rule 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-2 of 20 effectiveness so that emissions after rule effectiveness was applied were no more than double the emissions before rule effectiveness was applied. B-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 several programmatic measures, such as the strength of rule language, departmental enforcement and penalty actions, inspector training programs, educational and public outreach efforts, and other measures that affect overall rule effectiveness. This reality is reflected in earlier 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., wwhetherit has loopholes), and the reporting and recordkeeping by the regulatory agency. Evaluating these factors will provide a more complete evaluation of the effective-ness of a rule. (EPA, 1994) To incorporate all the salient factors described above, a matrix was created to calculate a final RE rate. 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. MCAQD 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 success in implementing each 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 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 2020 are summarized in Table B–1 below. Table B–1: Rates of compliance and rule effectiveness for 2020, by permit category. Source category Compliance rate * Rule Effectiveness (RE) rate Title V facilities 88.44% 89.48% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-3 of 20 Source category Compliance rate * Rule Effectiveness (RE) rate Non-Title V facilities 82.88% 86.19% * Compliance rates for both Title V and Non-Title V facilities are based upon inspections conducted between October 1, 2019 and September 30, 2021, and reflect compliance selfmonitoring recordkeeping and reporting practices and facility compliance history. Inspection data before October 1, 2019 was not used because MCAQD implemented a database for inspections in September of 2019. For 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 non-Title V facilities. Compliance rates for both Title V and non-Title V facilities are based on two full years of data because 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. Due to the coronavirus pandemic, MCAQD did not conduct unannounced inspections for a portion of the 2020 calendar year. This temporary change to normal operations is reflected in the Unannounced Inspections portion of the rule effectiveness studies. Table B–2: Rule Effectiveness Matrix for Title V Facilities Factor Range Midpoint Description Source-specific monitoring used for compliance purposes, 94% 100% 97% and monitoring records filed with regulatory agency at least every 4 months. Source-specific monitoring used as an indicator of compliance, and Monitoring 87% 93% 90% monitoring records filed with regulatory agency every 6–9 months. Source-specific monitoring used as an indicator of 81% 86% 84% compliance, and monitoring records filed with regulatory agency each year. Weight Value Score 35% 100% 31.50% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-4 of 20 Factor Range 70% 80% < 70% Compliance History 75% 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% Overall Compliance Rate Midpoint 35% Description General guidance exists for source-specific enhanced monitoring, and monitoring records required but aren’t submitted to regulatory agency. No requirements for any type of monitoring. The facility has been in compliance for the past eight quarters. The facility is believed to have been in compliance for the past eight quarters, although inspection frequency is such that this can’t be positively confirmed. On schedule; the facility is meeting its compliance schedule. In Violation; facility is in violation of emissions and/or procedural requirements. High Priority Violator (HPV): the facility is in significant violation of one or more applicable requirement of the CAA. Weight Value Score 64.71% 21.97% 29.41% 7.72% 5.88% 0.72% 35% 88.44% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-5 of 20 Factor Type of Inspection Range 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% Operation and Maintenance (O&M) Midpoint 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Description Weight 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 and inspection of control 3% 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 3% operators follow daily or weekly O&M instructions. O&M requirements exist, but on no specific schedule. No specific O&M requirements. Value Score 97% 2.91% 97% 2.91% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-6 of 20 Factor Unannounced Inspections Range Weight 3% 100% 97% Routinely conducted. 87% 81% 70% 93% 86% 80% 90% 84% 75% Sometimes done. Done, but infrequently. Rarely done. 35% Never done. 3% 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. Source subject to Title V semiannual compliance certification. Source subject to Title V annual 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. 94% 87% 81% 100% 93% 86% 97% 90% 84% 70% 80% 75% < 70% Compliance Certifications Description 94% < 70% Enforcement Penalties Midpoint 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Value 97% x 41.67% Score 2.91% 3% 35% x 58.33% 97% 2.91% 2% 97% 1.94% 0.6% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-7 of 20 Factor Inspection Frequency Range 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% EPA HPV Enforcement Midpoint 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Description 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. Agency has sufficient resources to implement EPA’s 9/23/2014 HPV policy. Agency’s resources allow it to implement EPA’s 9/23/2014 HPV policy in most instances. Agency’s resources allow it to implement EPA’s 9/23/2014HPV policy in most instances. Agency’s resources allow it to implement EPA’s 9/23/2014 HPV policy more often than not. Resource constraints prohibit agency from implementing EPA’s 9/23/2014 HPV policy in most instances. Weight Value Score 97% 1.94% 97% 1.94% 2% 2% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-8 of 20 Factor Operator Training Range 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 0.8 75% < 70% Media Publicity Midpoint 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Description 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. 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. Weight Value Score 75% 1.5% 97% 1.94% 2% 2% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-9 of 20 Factor Regulatory Workshops Range Midpoint 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% 94% 100% 97% 87% 93% 90% Inspector Training 81% 86% 84% 70% 80% 75% Description Regulatory workshops are available annually. Regulatory workshops are available every 1–2 years. Regulatory workshops are available every 2–3 years. Regulatory workshop not routinely available, but implementing agency mails regulatory information packages out every 2–3 years. Regulatory workshops not routinely available. Implementing agency mails regulatory information packages infrequently, if ever. Two weeks of comprehensive basic training, and 2 weeks of source-specific training, updated each year. One to two weeks of basic training and 1 week of source-specific training, updated every one to two years. One to two weeks of basic training and three to five days of sourcespecific training, updated every one to two years. One to two weeks of basic training and one to three days of sourcespecific training, updated every one to two years. Weight Value Score 97% 1.94% 97% 1.94% 2% 2% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-10 of 20 Factor Testing Guidelines Range Midpoint < 70% 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Description Less than 5 days of basic training and less than 3 days of sourcespecific training, updated 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. Weight 2% Value Score 97% 1.94% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-11 of 20 Factor Follow-up Inspections Range 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% Overall RE Midpoint 35% Description 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 97% 1.94% 2% 89.48% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-12 of 20 Table B–3: Rule Effectiveness Matrix for Non-Title V Facilities Factor Range Midpoint Description Source-specific monitoring used for compliance purposes, 94% 100% 97% and monitoring records filed with regulatory agency at least every 4 months. Source-specific monitoring used as an indicator of compliance, and 87% 93% 90% monitoring records filed with regulatory agency every 6–9 months. Monitoring Source-specific monitoring used as an indicator of 81% 86% 84% compliance, and monitoring records filed with regulatory agency each year. General guidance exists for source-specific enhanced monitoring, 70% 80% 75% and monitoring records required but aren’t submitted to regulatory agency. No requirements for < 70% 35% any type of monitoring. The facility has been in 94% 100% 97% compliance for the past eight quarters. The facility is believed to have been in compliance for the past Compliance 87% 93% 90% eight quarters, although History inspection frequency is such that this can’t be positively confirmed. On schedule; the 81% 86% 84% facility is meeting its compliance schedule. Weight Value Score 75% 26.26% 97% x 67% 22.63% 90% x 7% 2.28% 35% 35% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-13 of 20 Factor Range 70% 80% < 70% Midpoint 75% 35% Overall Compliance Rate Type of Inspection Description In Violation; facility is in violation of emissions and/or procedural requirements. High Priority Violator (HPV): the facility is in significant violation of one or more applicable requirement of the CAA. Weight Value Score 75% x 26% 6.85% 82.88% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 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 and 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. 3% 97% x 6% 0.17% 90% x 94% 2.54% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-14 of 20 Factor Operation and Maintenance (O&M) Unannounced Inspections Enforcement Penalties Range Midpoint 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% 94% 100% 87% 93% 81% 86% 70% 80% < 70% 94% 100% 87% 93% 81% 86% 97% 90% 84% 75% 35% 97% 90% 84% 70% 75% 80% < 70% 35% Description Weight Control equipment operators follow and sign daily O&M instructions. Control equipment operators follow daily O&M instructions. Control equipment 3% operators follow daily or weekly O&M instructions. O&M requirements exist, but on no specific schedule. No specific O&M requirements. Routinely conducted. Sometimes done. Done, but infrequently. 3% Rarely done. Never done. Agency has the authority to impose punitive measures, including monetary fines, towards violators such as in delegated Title V Operating 3% Permit programs. Agency does not have sufficient authority to impose punitive measures towards violators. Value Score 97% 2.91% 90% 2.70% 97% 2.91% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-15 of 20 Factor Compliance Certifications Range 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% Inspection Frequency Midpoint 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Description Source subject to Title V semiannual compliance certification. Source subject to Title V annual 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. Weight Value Score 2% 84% 1.68% 97% 1.94% 2% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-16 of 20 Factor EPA HPV Enforcement Range Midpoint 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Description Agency has sufficient resources to implement EPA’s 9/23/2014 HPV policy. Agency’s resources allow it to implement EPA’s 9/23/2014 HPV policy in most instances. Agency’s resources allow it to implement EPA’s 9/23/2014HPV policy in most instances. Agency’s resources allow it to implement EPA’s 9/23/2014 HPV policy more often than not. Resource constraints prohibit agency from implementing EPA’s 9/23/2014 HPV policy in most instances. Weight 2% Value Score 97% 1.94% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-17 of 20 Factor Operator Training Range 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 0.8 75% < 70% Media Publicity 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% Regulatory Workshops Midpoint 35% 94% 100% 97% 87% 93% 90% Description 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. 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. Regulatory workshops are available annually. Regulatory workshops are available every 1–2 years. Weight Value Score 84% 1.68% 97% 1.94% 97% 1.94% 2% 2% 2% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-18 of 20 Factor Inspector Training Range Midpoint 81% 86% 84% 70% 80% 75% < 70% 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% 35% Description Regulatory workshops are available every 2–3 years. Regulatory workshop not routinely available, but implementing agency mails regulatory information packages out every 2–3 years. Regulatory workshops not routinely available. Implementing agency mails regulatory information packages infrequently, if ever. Two weeks of comprehensive basic training, and 2 weeks of source-specific training, updated each year. One to two weeks of basic training and 1 week of source-specific training, updated every one to two years. One to two weeks of basic training and three to five days of sourcespecific training, updated every one to two years. One to two weeks of basic training and one to three days of sourcespecific training, updated every one to two years. Less than 5 days of basic training and less than 3 days of sourcespecific training, updated every 2 years or less frequently. Weight 2% Value Score 97% 1.94% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-19 of 20 Factor Testing Guidelines Range 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% Follow-up Inspections Midpoint 35% 94% 100% 97% 87% 93% 90% 81% 86% 84% 70% 80% 75% < 70% Overall RE 35% Description 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 97% 1.94% 97% 1.94% 2% 2% B-3. References 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. 86.19% 2020 Periodic Emissions Inventory for Ozone Precursors Appendix B. Rule Effectiveness (RE) Studies Page B-20 of 20 EPA, 1994. Rule Effectiveness Guidance: Integration of Inventory, Compliance and Assessment Applications. EPA Rep. 452/R-94-001, January 1994. 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. 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-1 of 34 Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) MOVES3 Local Input Data (Maricopa County) [HPMSvTypeYear] HPMSVtypeID 10 25 40 50 60 yearID 2020 2020 2020 2020 2020 HPMSBaseYearVMT 216,265,157 36,792,345,654 78,696,504 2,435,463,019 891,209,497 [SourceTypeYear] yearID 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 sourceTypeID sourceTypePopulation 11 21 31 32 41 42 43 51 52 53 54 61 62 102,822 2,585,430 503,886 192,968 3,803 924 5,076 688 95,629 4,279 12,290 10,995 16,422 [CountyYear] countyID yearID 4013 refuelingVaporProgramAdjust 2020 refuelingSpillProgramAdjust 0.000 0.000 [FuelFormulation] Fuel Fuel Formulation Subtype ID ID 10 10 20 20 30 30 50 51 90 90 96 10 97 10 98 12 99 12 RVP 6.9 0 0 7.7 0 8.7 6.6 8.8 8.8 Sulfur Level 30 11 7.6 11 0 338 150 30 30 ETOH Volume 0 0 0 85 0 0 0 10 10 MTBE Volume 0 0 0 0 0 0 0 0 0 ETBE Volume 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 25.77 0 25.77 Olefin Content 5.6 0 0 0 0 11.9 11 8.44 8.44 Benzene Content 1 0 0 0 0 1.64 0.8 0.65 0.65 e200 41.09 0 0 999 0 50 52 47.61 47.61 e300 83.09 0 0 999 0 83 84 84.89 84.89 BioDiesel Ester Cetane PAH Volume Index Content 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 T50 218 0 0 999 0 199.816 195.735 212.282 212.282 T90 329 0 0 999 0 329.409 324.864 321.719 321.719 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-2 of 34 9036 9037 9038 25003 27001 27002 28001 12 12 12 21 51 51 30 6.672 8.47 7.815 0 10.5 7.7 0 6.554 5.084 7.3 6.48 8 8 7.6 10.494 10.492 10.515 0 74 74 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 26.126 20.174 21.34 0 0 0 0 2.396 1.284 1.15 0 0 0 0 0.17 0.142 0.1 0 0.16 0.16 0 45.184 51.832 50.05 0 999 999 0 86.104 89.156 88.315 0 999 999 0 0 0 0 1.81 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 213.668 191.01 197.265 0 999 999 0 [FuelUsageFraction] countyID 4013 4013 4013 4013 4013 4013 fuelYearID 2020 2020 2020 2020 2020 2020 modelYearGr oupID 0 0 0 0 0 0 sourceBinFuel TypeID 1 2 3 5 5 9 fuelSupplyFue lTypeID 1 2 3 1 5 9 usageFraction 1 1 1 0.982134 0.017866 1 fuelFormulationID 90 90 90 90 90 90 90 90 90 90 90 90 9036 9036 9036 9036 9036 9037 9037 9037 9037 9037 9038 9038 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 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 [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 fuelYearID 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 monthGroupID 1 2 3 4 5 6 7 8 9 10 11 12 5 6 7 8 9 1 2 3 11 12 4 10 316.442 304.112 308.71 0 999 999 0 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-3 of 34 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 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 1 2 3 4 5 6 7 8 9 10 11 12 1 2 3 4 10 11 12 5 6 7 8 9 1 2 3 4 5 6 7 8 9 10 11 12 25003 25003 25003 25003 25003 25003 25003 25003 25003 25003 25003 25003 27001 27001 27001 27001 27001 27001 27001 27002 27002 27002 27002 27002 28001 28001 28001 28001 28001 28001 28001 28001 28001 28001 28001 28001 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 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 [ZoneMonthHour] monthID zoneID HourID temperature 1 40130 1 51.4 relHumidity 58.4 monthID zoneID HourID temperature 1 40130 2 50.5 relHumidity 59.7 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-4 of 34 monthID zoneID HourID temperature relHumidity monthID zoneID HourID temperature relHumidity 1 40130 3 49.8 61.0 3 40130 1 60.4 52.7 1 40130 4 49.1 62.2 3 40130 2 59.2 54.9 1 40130 5 48.1 64.4 3 40130 3 58.1 57.4 1 40130 6 47.3 65.8 3 40130 4 57.4 60.0 1 40130 7 47.0 65.7 3 40130 5 56.5 62.4 1 40130 8 47.0 65.6 3 40130 6 55.7 63.8 1 40130 9 50.4 57.4 3 40130 7 55.5 64.0 1 40130 10 54.5 48.2 3 40130 8 57.1 61.0 1 40130 11 58.2 41.8 3 40130 9 60.0 54.6 1 40130 12 61.3 36.7 3 40130 10 63.5 47.8 1 40130 13 63.9 33.1 3 40130 11 66.5 42.3 1 40130 14 65.5 31.0 3 40130 12 68.9 37.3 1 40130 15 66.4 29.5 3 40130 13 70.7 34.8 1 40130 16 67.1 28.3 3 40130 14 71.9 32.9 1 40130 17 66.7 28.6 3 40130 15 72.5 32.5 1 40130 18 64.5 32.1 3 40130 16 72.6 31.5 1 40130 19 61.7 37.3 3 40130 17 72.3 31.2 1 40130 20 59.4 41.8 3 40130 18 71.1 33.5 1 40130 21 57.9 44.9 3 40130 19 69.5 36.1 1 40130 22 55.9 48.5 3 40130 20 67.7 38.5 1 40130 23 54.0 53.2 3 40130 21 65.8 43.1 1 40130 24 52.9 54.4 3 40130 22 64.0 47.3 2 40130 1 54.0 48.7 3 40130 23 62.9 49.1 2 40130 2 53.3 48.7 3 40130 24 62.0 51.0 2 40130 3 51.6 52.1 4 40130 1 69.3 30.9 2 40130 4 50.8 54.4 4 40130 2 67.7 33.4 2 40130 5 50.1 55.0 4 40130 3 65.8 36.5 2 40130 6 49.4 55.8 4 40130 4 64.6 37.6 2 40130 7 48.4 58.4 4 40130 5 63.4 39.2 2 40130 8 49.3 56.2 4 40130 6 62.0 42.5 2 40130 9 53.3 47.8 4 40130 7 63.2 41.3 2 40130 10 57.1 41.1 4 40130 8 66.5 35.6 2 40130 11 60.5 35.8 4 40130 9 70.7 29.9 2 40130 12 63.2 31.2 4 40130 10 74.7 25.4 2 40130 13 65.8 28.2 4 40130 11 77.9 22.7 2 40130 14 67.5 25.9 4 40130 12 80.4 19.9 2 40130 15 68.8 24.2 4 40130 13 82.3 18.4 2 40130 16 69.5 22.4 4 40130 14 84.2 16.8 2 40130 17 69.2 22.8 4 40130 15 85.1 16.6 2 40130 18 67.9 23.8 4 40130 16 85.6 16.0 2 40130 19 65.8 27.1 4 40130 17 85.3 16.2 2 40130 20 63.3 30.6 4 40130 18 84.4 16.5 2 40130 21 60.8 36.0 4 40130 19 82.5 17.5 2 40130 22 59.2 38.8 4 40130 20 80.5 19.1 2 40130 23 57.4 43.0 4 40130 21 76.9 23.3 2 40130 24 55.6 47.1 4 40130 22 75.0 25.1 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-5 of 34 monthID zoneID HourID temperature relHumidity monthID zoneID HourID temperature relHumidity 4 40130 23 73.8 26.2 6 40130 21 95.8 10.7 4 40130 24 71.2 30.0 6 40130 22 92.7 12.3 5 40130 1 82.2 18.4 6 40130 23 91.1 12.9 5 40130 2 80.6 19.8 6 40130 24 89.8 13.4 5 40130 3 78.2 22.0 7 40130 1 95.4 22.6 5 40130 4 76.7 23.5 7 40130 2 94.1 23.9 5 40130 5 75.0 25.9 7 40130 3 92.2 25.9 5 40130 6 74.1 26.9 7 40130 4 91.2 26.7 5 40130 7 75.8 25.7 7 40130 5 90.2 27.9 5 40130 8 79.4 22.9 7 40130 6 89.2 29.5 5 40130 9 83.3 19.5 7 40130 7 90.2 29.7 5 40130 10 87.0 16.6 7 40130 8 92.3 27.5 5 40130 11 89.8 14.7 7 40130 9 95.3 24.3 5 40130 12 92.5 13.0 7 40130 10 98.0 21.8 5 40130 13 94.6 11.8 7 40130 11 100.5 20.1 5 40130 14 96.4 10.7 7 40130 12 102.9 18.0 5 40130 15 97.7 10.1 7 40130 13 104.5 16.6 5 40130 16 97.9 10.0 7 40130 14 106.5 15.5 5 40130 17 97.7 10.1 7 40130 15 107.3 14.9 5 40130 18 97.1 10.1 7 40130 16 108.2 14.3 5 40130 19 95.6 10.0 7 40130 17 107.9 14.1 5 40130 20 93.0 11.2 7 40130 18 107.5 14.0 5 40130 21 89.8 13.3 7 40130 19 106.1 14.9 5 40130 22 87.8 14.6 7 40130 20 104.2 15.9 5 40130 23 86.4 15.3 7 40130 21 102.4 17.2 5 40130 24 84.4 17.1 7 40130 22 99.9 19.9 6 40130 1 88.5 14.8 7 40130 23 98.5 20.5 6 40130 2 86.0 16.6 7 40130 24 97.0 21.8 6 40130 3 84.2 17.9 8 40130 1 94.9 27.6 6 40130 4 82.6 19.1 8 40130 2 93.4 28.8 6 40130 5 81.0 21.1 8 40130 3 92.4 30.1 6 40130 6 80.0 22.4 8 40130 4 91.1 31.6 6 40130 7 81.8 21.2 8 40130 5 90.5 32.6 6 40130 8 85.0 19.0 8 40130 6 89.3 34.4 6 40130 9 88.6 16.8 8 40130 7 90.0 34.1 6 40130 10 92.0 14.8 8 40130 8 92.5 31.0 6 40130 11 94.9 13.0 8 40130 9 95.2 27.9 6 40130 12 97.6 11.1 8 40130 10 98.2 25.0 6 40130 13 99.8 10.1 8 40130 11 101.3 22.4 6 40130 14 101.7 9.3 8 40130 12 103.5 20.4 6 40130 15 102.7 9.0 8 40130 13 105.8 18.5 6 40130 16 103.2 8.5 8 40130 14 107.3 17.3 6 40130 17 103.2 8.3 8 40130 15 108.4 16.4 6 40130 18 102.2 8.3 8 40130 16 109.0 15.7 6 40130 19 101.2 8.4 8 40130 17 108.7 15.8 6 40130 20 99.0 9.6 8 40130 18 108.2 15.4 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-6 of 34 monthID zoneID HourID temperature relHumidity monthID zoneID HourID temperature relHumidity 8 40130 19 106.4 16.4 10 40130 17 92.7 11.5 8 40130 20 103.1 19.6 10 40130 18 90.9 12.5 8 40130 21 100.2 23.4 10 40130 19 87.5 14.8 8 40130 22 98.5 24.1 10 40130 20 84.0 17.4 8 40130 23 97.4 24.9 10 40130 21 81.9 19.3 8 40130 24 96.0 26.9 10 40130 22 79.7 21.3 9 40130 1 86.4 25.3 10 40130 23 76.8 24.3 9 40130 2 85.1 25.7 10 40130 24 75.4 25.2 9 40130 3 83.7 27.4 11 40130 1 62.2 32.4 9 40130 4 82.3 29.0 11 40130 2 60.8 34.7 9 40130 5 81.1 30.2 11 40130 3 59.1 36.7 9 40130 6 80.4 31.5 11 40130 4 58.8 37.2 9 40130 7 80.3 31.3 11 40130 5 58.3 37.7 9 40130 8 83.5 28.1 11 40130 6 57.5 38.6 9 40130 9 87.7 24.7 11 40130 7 57.4 39.1 9 40130 10 91.5 22.2 11 40130 8 58.5 38.0 9 40130 11 94.6 20.2 11 40130 9 62.9 32.1 9 40130 12 97.2 17.8 11 40130 10 67.0 27.5 9 40130 13 99.4 16.0 11 40130 11 70.9 24.5 9 40130 14 101.0 15.0 11 40130 12 73.8 21.7 9 40130 15 102.2 14.0 11 40130 13 76.0 19.7 9 40130 16 102.6 13.4 11 40130 14 77.7 18.1 9 40130 17 102.2 13.2 11 40130 15 78.8 16.9 9 40130 18 101.0 12.5 11 40130 16 79.0 16.1 9 40130 19 99.2 13.1 11 40130 17 77.9 16.6 9 40130 20 96.5 14.9 11 40130 18 75.2 18.3 9 40130 21 93.5 17.3 11 40130 19 72.1 21.2 9 40130 22 91.3 19.5 11 40130 20 69.3 23.7 9 40130 23 90.1 20.9 11 40130 21 67.7 25.1 9 40130 24 87.7 23.3 11 40130 22 65.9 27.4 10 40130 1 73.8 26.1 11 40130 23 64.0 30.4 10 40130 2 72.5 27.3 11 40130 24 62.7 31.5 10 40130 3 70.8 28.7 12 40130 1 50.3 41.1 10 40130 4 69.8 29.7 12 40130 2 49.4 42.1 10 40130 5 69.1 29.1 12 40130 3 48.3 44.2 10 40130 6 68.5 29.1 12 40130 4 47.8 44.2 10 40130 7 68.0 29.0 12 40130 5 47.4 44.1 10 40130 8 71.6 25.4 12 40130 6 46.5 45.8 10 40130 9 76.1 22.1 12 40130 7 45.9 46.6 10 40130 10 80.7 19.3 12 40130 8 46.0 45.8 10 40130 11 84.2 17.2 12 40130 9 50.2 39.3 10 40130 12 87.6 15.5 12 40130 10 54.5 32.5 10 40130 13 90.3 13.9 12 40130 11 58.6 27.7 10 40130 14 91.9 12.6 12 40130 12 61.6 25.1 10 40130 15 93.1 11.7 12 40130 13 63.6 22.6 10 40130 16 93.4 11.3 12 40130 14 65.5 20.5 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-7 of 34 monthID zoneID HourID temperature relHumidity monthID zoneID HourID temperature relHumidity 12 40130 15 66.2 19.6 12 40130 21 56.7 31.5 12 40130 16 66.6 19.3 12 40130 22 54.3 35.1 12 40130 17 65.8 19.8 12 40130 23 52.8 37.7 12 40130 18 63.3 22.8 12 40130 24 51.4 40.4 12 40130 19 60.6 26.4 12 40130 20 58.1 30.1 [SourceTypeAgeDistribution] Source Source Source TypeID YearID AgeID AgeFraction TypeID YearID AgeID AgeFraction TypeID YearID AgeID AgeFraction 11 2020 0 0.07045 21 2020 5 0.074548 31 2020 10 0.018854 11 2020 1 0.026235 21 2020 6 0.064264 31 2020 11 0.014894 11 2020 2 0.046958 21 2020 7 0.06223 31 2020 12 0.033962 11 2020 3 0.045837 21 2020 8 0.050753 31 2020 13 0.043487 11 2020 4 0.049317 21 2020 9 0.040915 31 2020 14 0.04551 11 2020 5 0.056476 21 2020 10 0.035207 31 2020 15 0.037568 11 2020 6 0.052201 21 2020 11 0.028128 31 2020 16 0.039044 11 2020 7 0.045937 21 2020 12 0.041289 31 2020 17 0.031527 11 2020 8 0.039971 21 2020 13 0.04548 31 2020 18 0.028291 11 2020 9 0.026945 21 2020 14 0.039176 31 2020 19 0.029807 11 2020 10 0.021377 21 2020 15 0.034539 31 2020 20 0.024255 11 2020 11 0.044942 21 2020 16 0.028901 31 2020 21 0.018251 11 2020 12 0.045539 21 2020 17 0.024466 31 2020 22 0.013518 11 2020 13 0.060254 21 2020 18 0.020313 31 2020 23 0.013556 11 2020 14 0.059061 21 2020 19 0.016791 31 2020 24 0.00923 11 2020 15 0.051405 21 2020 20 0.014533 31 2020 25 0.008765 11 2020 16 0.036988 21 2020 21 0.01117 31 2020 26 0.00724 11 2020 17 0.043351 21 2020 22 0.00809 31 2020 27 0.004757 11 2020 18 0.033806 21 2020 23 0.006507 31 2020 28 0.003264 11 2020 19 0.028238 21 2020 24 0.004479 31 2020 29 0.002792 11 2020 20 0.024062 21 2020 25 0.003861 31 2020 30 0.037415 11 2020 21 0.020483 21 2020 26 0.002771 32 2020 0 0.075933 11 2020 22 0.014318 21 2020 27 0.002155 32 2020 1 0.078577 11 2020 23 0.011335 21 2020 28 0.001691 32 2020 2 0.09529 11 2020 24 0.010341 21 2020 29 0.001612 32 2020 3 0.060917 11 2020 25 0.008551 21 2020 30 0.0242 32 2020 4 0.053073 11 2020 26 0.006761 31 2020 0 0.07602 32 2020 5 0.045497 11 2020 27 0.006761 31 2020 1 0.07399 32 2020 6 0.044233 11 2020 28 0.004773 31 2020 2 0.094738 32 2020 7 0.036619 11 2020 29 0.003579 31 2020 3 0.057009 32 2020 8 0.031311 11 2020 30 0.003747 31 2020 4 0.051453 32 2020 9 0.027917 21 2020 0 0.07045 31 2020 5 0.044436 32 2020 10 0.018681 21 2020 1 0.033598 31 2020 6 0.043293 32 2020 11 0.015179 21 2020 2 0.065511 31 2020 7 0.035688 32 2020 12 0.033933 21 2020 3 0.072045 31 2020 8 0.029687 32 2020 13 0.044352 21 2020 4 0.070325 31 2020 9 0.027699 32 2020 14 0.045083 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-8 of 34 Source Source Source TypeID YearID AgeID AgeFraction TypeID YearID AgeID AgeFraction TypeID YearID AgeID AgeFraction 32 2020 15 0.036868 41 2020 29 0.002132 43 2020 12 0.035614 32 2020 16 0.036904 41 2020 30 0.0103 43 2020 13 0.056703 32 2020 17 0.029673 42 2020 0 0.102814 43 2020 14 0.043938 32 2020 18 0.026464 42 2020 1 0.081169 43 2020 15 0.033023 32 2020 19 0.028065 42 2020 2 0.189394 43 2020 16 0.016886 32 2020 20 0.023138 42 2020 3 0.13961 43 2020 17 0.012297 32 2020 21 0.017456 42 2020 4 0.041126 43 2020 18 0.009013 32 2020 22 0.012822 42 2020 5 0.093074 43 2020 19 0.011745 32 2020 23 0.012779 42 2020 6 0.017316 43 2020 20 0.013276 32 2020 24 0.008777 42 2020 7 0.172078 43 2020 21 0.010657 32 2020 25 0.008343 42 2020 8 0.038961 43 2020 22 0.006593 32 2020 26 0.006836 42 2020 9 0.042208 43 2020 23 0.005554 32 2020 27 0.004522 42 2020 10 0.00974 43 2020 24 0.004748 32 2020 28 0.003095 42 2020 11 0.030303 43 2020 25 0.004415 32 2020 29 0.002667 42 2020 12 0.011905 43 2020 26 0.002988 32 2020 30 0.034995 42 2020 13 0.030303 43 2020 27 0.002155 41 2020 0 0.057645 42 2020 14 0 43 2020 28 0.001485 41 2020 1 0.077134 42 2020 15 0 43 2020 29 0.00147 41 2020 2 0.070351 42 2020 16 0 43 2020 30 0.010139 41 2020 3 0.077327 42 2020 17 0 51 2020 0 0.064702 41 2020 4 0.075777 42 2020 18 0 51 2020 1 0.119166 41 2020 5 0.06549 42 2020 19 0 51 2020 2 0.09468 41 2020 6 0.04743 42 2020 20 0 51 2020 3 0.101209 41 2020 7 0.040082 42 2020 21 0 51 2020 4 0.069809 41 2020 8 0.036554 42 2020 22 0 51 2020 5 0.056455 41 2020 9 0.021307 42 2020 23 0 51 2020 6 0.053709 41 2020 10 0.011364 42 2020 24 0 51 2020 7 0.046372 41 2020 11 0.015974 42 2020 25 0 51 2020 8 0.048681 41 2020 12 0.027625 42 2020 26 0 51 2020 9 0.030716 41 2020 13 0.063955 42 2020 27 0 51 2020 10 0.017592 41 2020 14 0.060319 42 2020 28 0 51 2020 11 0.018788 41 2020 15 0.042606 42 2020 29 0 51 2020 12 0.035182 41 2020 16 0.029691 42 2020 30 0 51 2020 13 0.055855 41 2020 17 0.021551 43 2020 0 0.057608 51 2020 14 0.04328 41 2020 18 0.016242 43 2020 1 0.119315 51 2020 15 0.032529 41 2020 19 0.022298 43 2020 2 0.094798 51 2020 16 0.016585 41 2020 20 0.026944 43 2020 3 0.101336 51 2020 17 0.012078 41 2020 21 0.022301 43 2020 4 0.069897 51 2020 18 0.008826 41 2020 22 0.013017 43 2020 5 0.056677 51 2020 19 0.011501 41 2020 23 0.011377 43 2020 6 0.054066 51 2020 20 0.012961 41 2020 24 0.010203 43 2020 7 0.046681 51 2020 21 0.010404 41 2020 25 0.009661 43 2020 8 0.04914 51 2020 22 0.006437 41 2020 26 0.00609 43 2020 9 0.031006 51 2020 23 0.005406 41 2020 27 0.004299 43 2020 10 0.017758 51 2020 24 0.004621 41 2020 28 0.002955 43 2020 11 0.019019 51 2020 25 0.004359 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-9 of 34 Source Source Source TypeID YearID AgeID AgeFraction TypeID YearID AgeID AgeFraction TypeID YearID AgeID AgeFraction 51 2020 26 0.002931 53 2020 9 0.030556 54 2020 23 0.005412 51 2020 27 0.002155 53 2020 10 0.017462 54 2020 24 0.004626 51 2020 28 0.001465 53 2020 11 0.0186 54 2020 25 0.004142 51 2020 29 0.001449 53 2020 12 0.034925 54 2020 26 0.002788 51 2020 30 0.010097 53 2020 13 0.055221 54 2020 27 0.001926 52 2020 0 0.064678 53 2020 14 0.042863 54 2020 28 0.001367 52 2020 1 0.108138 53 2020 15 0.032226 54 2020 29 0.001352 52 2020 2 0.096002 53 2020 16 0.016581 54 2020 30 0.010006 52 2020 3 0.088311 53 2020 17 0.012065 61 2020 0 0.052247 52 2020 4 0.064501 53 2020 18 0.008842 61 2020 1 0.119504 52 2020 5 0.052852 53 2020 19 0.01152 61 2020 2 0.094949 52 2020 6 0.050573 53 2020 20 0.012922 61 2020 3 0.101497 52 2020 7 0.043311 53 2020 21 0.010352 61 2020 4 0.070008 52 2020 8 0.043152 53 2020 22 0.006415 61 2020 5 0.056875 52 2020 9 0.02981 53 2020 23 0.005413 61 2020 6 0.054361 52 2020 10 0.017875 53 2020 24 0.004616 61 2020 7 0.046935 52 2020 11 0.017639 53 2020 25 0.004653 61 2020 8 0.049505 52 2020 12 0.034826 53 2020 26 0.003137 61 2020 9 0.031236 52 2020 13 0.052239 53 2020 27 0.002485 61 2020 10 0.01789 52 2020 14 0.043836 53 2020 28 0.001608 61 2020 11 0.019198 52 2020 15 0.034142 53 2020 29 0.001611 61 2020 12 0.035949 52 2020 16 0.023074 53 2020 30 0.010429 61 2020 13 0.057353 52 2020 17 0.017731 54 2020 0 0.0646 61 2020 14 0.044442 52 2020 18 0.01443 54 2020 1 0.119293 61 2020 15 0.033401 52 2020 19 0.016887 54 2020 2 0.094781 61 2020 16 0.017115 52 2020 20 0.016313 54 2020 3 0.101318 61 2020 17 0.012464 52 2020 21 0.012759 54 2020 4 0.069884 61 2020 18 0.009154 52 2020 22 0.008552 54 2020 5 0.056516 61 2020 19 0.011928 52 2020 23 0.007802 54 2020 6 0.053766 61 2020 20 0.013512 52 2020 24 0.006008 54 2020 7 0.046422 61 2020 21 0.010847 52 2020 25 0.005751 54 2020 8 0.048733 61 2020 22 0.00671 52 2020 26 0.004249 54 2020 9 0.030749 61 2020 23 0.005665 52 2020 27 0.003011 54 2020 10 0.017611 61 2020 24 0.004843 52 2020 28 0.002036 54 2020 11 0.018808 61 2020 25 0.004542 52 2020 29 0.001891 54 2020 12 0.035219 61 2020 26 0.003 52 2020 30 0.017619 54 2020 13 0.055914 61 2020 27 0.002238 53 2020 0 0.065396 54 2020 14 0.043327 61 2020 28 0.001502 53 2020 1 0.120328 54 2020 15 0.032563 61 2020 29 0.001517 53 2020 2 0.0964 54 2020 16 0.016603 61 2020 30 0.009613 53 2020 3 0.100121 54 2020 17 0.012091 62 2020 0 0.051211 53 2020 4 0.069406 54 2020 18 0.008836 62 2020 1 0.119583 53 2020 5 0.056113 54 2020 19 0.011513 62 2020 2 0.095011 53 2020 6 0.053437 54 2020 20 0.012975 62 2020 3 0.101564 53 2020 7 0.046139 54 2020 21 0.010415 62 2020 4 0.070054 53 2020 8 0.04816 54 2020 22 0.006443 62 2020 5 0.056913 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-10 of 34 Source Source Source TypeID YearID AgeID AgeFraction TypeID YearID AgeID AgeFraction TypeID YearID AgeID AgeFraction 62 2020 6 0.054397 62 2020 15 0.033423 62 2020 24 0.004846 62 2020 7 0.046966 62 2020 16 0.017126 62 2020 25 0.004561 62 2020 8 0.049537 62 2020 17 0.012472 62 2020 26 0.003055 62 2020 9 0.031257 62 2020 18 0.00916 62 2020 27 0.002259 62 2020 10 0.017902 62 2020 19 0.011936 62 2020 28 0.001528 62 2020 11 0.019211 62 2020 20 0.013521 62 2020 29 0.001527 62 2020 12 0.035973 62 2020 21 0.010854 62 2020 30 0.009906 62 2020 13 0.057391 62 2020 22 0.006715 62 2020 14 0.044471 62 2020 23 0.005669 [IMCoverage] polProcess State County ID 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 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 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 101 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 112 112 112 112 112 112 112 112 112 112 112 112 112 201 201 201 201 201 201 201 201 201 201 yearID sourceTypeID fuelTypeID IMProgramID 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 21 21 21 21 21 21 31 31 31 31 31 31 32 32 32 32 32 32 52 21 21 21 21 21 21 31 31 31 31 31 31 32 32 32 32 32 32 52 21 21 21 21 31 31 31 31 32 32 32 32 52 21 21 21 21 21 21 31 31 31 31 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 5 5 1 1 5 5 1 1 5 5 1 1 1 1 5 5 5 1 1 1 5 103 106 110 303 306 310 103 106 110 303 306 310 103 106 110 303 306 310 103 103 106 110 303 306 310 103 106 110 303 306 310 103 106 110 303 306 310 103 108 109 308 309 108 109 308 309 108 109 308 309 107 103 106 110 303 306 310 103 106 110 303 Beg End ModelYearID 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1996 1981 1996 1981 1996 1981 1996 1981 1996 1981 1996 1981 1981 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 ModelYearID 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 2016 2016 1995 2016 1995 2016 1995 2016 1995 2016 1995 2016 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 inspectFreq 1 2 2 1 2 2 1 2 2 1 2 2 1 2 2 1 2 2 1 1 2 2 1 2 2 1 2 2 1 2 2 1 2 2 1 2 2 1 2 2 2 2 2 2 2 2 2 2 2 2 1 1 2 2 1 2 2 1 2 2 1 Test StandardsID 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 43 44 43 44 43 44 43 44 43 44 43 44 41 13 31 51 13 31 51 13 31 51 13 useIMyn N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N Compliance Factor 57.6164 64.12 90.0428 57.6164 64.12 90.0428 57.6164 64.12 90.0428 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 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 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 57.6164 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-11 of 34 polProcess State County ID 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 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 201 201 201 201 201 201 201 201 201 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 301 302 302 302 302 302 302 302 302 302 302 302 302 302 302 302 302 302 302 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 yearID sourceTypeID fuelTypeID IMProgramID 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 31 31 32 32 32 32 32 32 52 21 21 21 21 21 21 31 31 31 31 31 31 32 32 32 32 32 32 52 21 21 21 21 21 21 31 31 31 31 31 31 32 32 32 32 32 32 52 21 21 21 21 21 21 31 31 31 31 31 31 32 32 32 32 32 32 52 21 21 21 21 21 21 21 21 21 21 21 21 31 31 31 31 31 31 5 5 1 1 1 5 5 5 1 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 5 5 5 1 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 306 310 103 106 110 303 306 310 103 103 106 110 303 306 310 103 106 110 303 306 310 103 106 110 303 306 310 103 103 106 110 303 306 310 103 106 110 303 306 310 103 106 110 303 306 310 103 103 106 110 303 306 310 103 106 110 303 306 310 103 106 110 303 306 310 103 3 3 3 3 3 3 503 503 503 503 503 503 3 3 3 3 3 3 Beg End ModelYearID 1981 1996 1967 1981 1996 1967 1981 1996 1967 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1981 1996 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 ModelYearID 1995 2016 1980 1995 2016 1980 1995 2016 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 1980 1995 2016 2016 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 inspectFreq 2 2 1 2 2 1 2 2 1 1 2 2 1 2 2 1 2 2 1 2 2 1 2 2 1 2 2 1 1 2 2 1 2 2 1 2 2 1 2 2 1 2 2 1 2 2 1 1 2 2 1 2 2 1 2 2 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 Test StandardsID 31 51 13 31 51 13 31 51 13 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 31 51 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 useIMyn N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N N Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Compliance Factor 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 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 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 57.6164 64.12 90.0428 57.6164 64.12 90.0428 57.6164 64.12 90.0428 87.2032 76 76 76 76 76 76 76 76 76 76 76 76 80 80 80 80 80 80 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-12 of 34 polProcess State County ID 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 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 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 yearID sourceTypeID fuelTypeID IMProgramID 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 31 31 31 31 31 31 32 32 32 32 32 32 32 32 32 32 32 32 41 41 41 41 41 41 41 41 41 41 41 41 42 42 42 42 42 42 42 42 42 42 42 42 43 43 43 43 43 43 43 43 43 43 43 43 51 51 51 51 51 51 51 51 51 51 51 51 52 52 52 52 52 52 52 52 52 52 52 52 53 53 53 53 53 53 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 503 503 503 503 503 503 3 3 3 3 3 3 503 503 503 503 503 503 4 4 4 4 4 4 504 504 504 504 504 504 4 4 4 4 4 4 504 504 504 504 504 504 4 4 4 4 4 4 504 504 504 504 504 504 4 4 4 4 4 4 504 504 504 504 504 504 4 4 4 4 4 4 504 504 504 504 504 504 4 4 4 4 4 4 Beg End ModelYearID 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 ModelYearID 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 1980 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 inspectFreq 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Test StandardsID 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 useIMyn Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Compliance Factor 80 80 80 80 80 80 79 79 79 79 79 79 79 79 79 79 79 79 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 89 88 88 88 88 88 88 88 88 88 88 88 88 91 91 91 91 91 91 91 91 91 91 91 91 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-13 of 34 polProcess State County ID 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 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 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 112 113 112 113 112 113 yearID sourceTypeID fuelTypeID IMProgramID 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 53 53 53 53 53 53 54 54 54 54 54 54 54 54 54 54 54 54 61 61 61 61 61 61 61 61 61 61 61 61 62 62 62 62 62 62 62 62 62 62 62 62 21 21 21 21 21 21 21 21 21 21 21 21 31 31 31 31 31 31 31 31 31 31 31 31 32 32 32 32 32 32 32 32 32 32 32 32 21 21 21 21 31 31 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 5 5 1 1 504 504 504 504 504 504 4 4 4 4 4 4 504 504 504 504 504 504 4 4 4 4 4 4 504 504 504 504 504 504 4 4 4 4 4 4 504 504 504 504 504 504 6 6 6 6 6 6 506 506 506 506 506 506 6 6 6 6 6 6 506 506 506 506 506 506 6 6 6 6 6 6 506 506 506 506 506 506 11 11 511 511 11 11 Beg End ModelYearID 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 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 1967 1967 1967 1967 1967 1967 ModelYearID 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1980 1980 1980 1980 1980 1980 inspectFreq 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 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 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1 1 1 1 1 Test StandardsID 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 13 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 33 41 41 41 41 41 41 useIMyn Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Compliance Factor 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 90 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 88 83 83 83 83 83 83 83 83 83 83 83 83 82 82 82 82 82 82 82 82 82 82 82 82 78 78 78 78 78 78 78 78 78 78 78 78 79 79 79 79 82 82 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-14 of 34 polProcess State County ID 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 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 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 112 113 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 yearID sourceTypeID fuelTypeID IMProgramID 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 31 31 32 32 32 32 41 41 41 41 42 42 42 42 43 43 43 43 51 51 51 51 52 52 52 52 53 53 53 53 54 54 54 54 61 61 61 61 62 62 62 62 21 21 21 21 31 31 31 31 32 32 32 32 21 21 21 21 31 31 31 31 32 32 32 32 21 21 21 21 21 21 21 21 21 21 21 21 31 31 31 31 31 31 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 5 5 1 1 1 1 1 1 5 5 5 5 5 5 1 1 1 1 1 1 511 511 11 11 511 511 7 7 507 507 7 7 507 507 7 7 507 507 7 7 507 507 7 7 507 507 7 7 507 507 7 7 507 507 7 7 507 507 7 7 507 507 9 9 509 509 9 9 509 509 9 9 509 509 8 8 508 508 8 8 508 508 8 8 508 508 10 10 10 10 10 10 510 510 510 510 510 510 10 10 10 10 10 10 Beg End ModelYearID 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1967 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1981 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 ModelYearID 1980 1980 1980 1980 1980 1980 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 1995 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 inspectFreq 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 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 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 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 41 44 44 44 44 44 44 44 44 44 44 44 44 45 45 45 45 45 45 45 45 45 45 45 45 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 useIMyn Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Compliance Factor 82 82 82 82 82 82 89 89 89 89 89 89 89 89 88 88 88 88 91 91 91 91 91 91 91 91 91 91 91 91 90 90 90 90 88 88 88 88 88 88 88 88 83 83 83 83 83 83 83 83 78 78 78 78 91 91 91 91 90 90 90 90 84 84 84 84 91 91 91 91 91 91 91 91 91 91 91 91 89 89 89 89 89 89 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-15 of 34 polProcess State County ID ID 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 ID 4013 4013 4013 4013 4013 4013 4013 4013 4013 4013 4013 4013 4013 4013 4013 4013 4013 4013 101 102 201 202 301 302 101 102 201 202 301 302 101 102 201 202 301 302 yearID sourceTypeID fuelTypeID IMProgramID 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 2020 31 31 31 31 31 31 32 32 32 32 32 32 32 32 32 32 32 32 5 5 5 5 5 5 1 1 1 1 1 1 5 5 5 5 5 5 510 510 510 510 510 510 10 10 10 10 10 10 510 510 510 510 510 510 Beg End ModelYearID 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 1996 ModelYearID 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 2015 inspectFreq 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 Test StandardsID 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 51 useIMyn Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y Y 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 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 roadTypeVMTFraction 0.00000 0.01685 0.04380 0.28608 0.65327 0.00000 0.02143 0.04357 0.37692 0.55808 0.00000 0.02143 0.04357 0.37692 0.55808 0.00000 0.02143 0.04357 0.37692 0.55808 0.00000 0.13707 0.04796 0.48657 0.32841 0.00000 0.13707 0.04796 0.48657 0.32841 0.00000 0.13707 0.04796 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 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 0.48657 0.32841 0.00000 0.08587 0.05065 0.57493 0.28855 0.00000 0.08587 0.05065 0.57493 0.28855 0.00000 0.08587 0.05065 0.57493 0.28855 0.00000 0.08587 0.05065 0.57493 0.28855 0.00000 0.29809 0.04501 0.51390 0.14300 0.00000 0.29809 0.04501 0.51390 0.14300 [MonthVMTFraction] sourceTypeID monthID monthVMTFraction sourceTypeID monthID monthVMTFraction 11 1 0.097327 54 1 0.097327 21 1 0.097327 61 1 0.097327 31 1 0.097327 62 1 0.097327 32 1 0.097327 11 2 0.092650 41 1 0.097327 21 2 0.092650 42 1 0.097327 31 2 0.092650 43 1 0.097327 32 2 0.092650 51 1 0.097327 41 2 0.092650 52 1 0.097327 42 2 0.092650 53 1 0.097327 43 2 0.092650 Compliance Factor 89 89 89 89 89 89 83 83 83 83 83 83 83 83 83 83 83 83 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-16 of 34 sourceTypeID monthID monthVMTFraction sourceTypeID monthID monthVMTFraction 51 2 0.092650 21 6 0.077762 52 2 0.092650 31 6 0.077762 53 2 0.092650 32 6 0.077762 54 2 0.092650 41 6 0.077762 61 2 0.092650 42 6 0.077762 62 2 0.092650 43 6 0.077762 11 3 0.085825 51 6 0.077762 21 3 0.085825 52 6 0.077762 31 3 0.085825 53 6 0.077762 32 3 0.085825 54 6 0.077762 41 3 0.085825 61 6 0.077762 42 3 0.085825 62 6 0.077762 43 3 0.085825 11 7 0.077056 51 3 0.085825 21 7 0.077056 52 3 0.085825 31 7 0.077056 53 3 0.085825 32 7 0.077056 54 3 0.085825 41 7 0.077056 61 3 0.085825 42 7 0.077056 62 3 0.085825 43 7 0.077056 11 4 0.061975 51 7 0.077056 21 4 0.061975 52 7 0.077056 31 4 0.061975 53 7 0.077056 32 4 0.061975 54 7 0.077056 41 4 0.061975 61 7 0.077056 42 4 0.061975 62 7 0.077056 43 4 0.061975 11 8 0.081820 51 4 0.061975 21 8 0.081820 52 4 0.061975 31 8 0.081820 53 4 0.061975 32 8 0.081820 54 4 0.061975 41 8 0.081820 61 4 0.061975 42 8 0.081820 62 4 0.061975 43 8 0.081820 11 5 0.073574 51 8 0.081820 21 5 0.073574 52 8 0.081820 31 5 0.073574 53 8 0.081820 32 5 0.073574 54 8 0.081820 41 5 0.073574 61 8 0.081820 42 5 0.073574 62 8 0.081820 43 5 0.073574 11 9 0.083512 51 5 0.073574 21 9 0.083512 52 5 0.073574 31 9 0.083512 53 5 0.073574 32 9 0.083512 54 5 0.073574 41 9 0.083512 61 5 0.073574 42 9 0.083512 62 5 0.073574 43 9 0.083512 11 6 0.077762 51 9 0.083512 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-17 of 34 sourceTypeID monthID monthVMTFraction 52 9 0.083512 53 9 0.083512 54 9 0.083512 61 9 0.083512 62 9 0.083512 11 10 0.089830 21 10 0.089830 31 10 0.089830 32 10 0.089830 41 10 0.089830 42 10 0.089830 43 10 0.089830 51 10 0.089830 52 10 0.089830 53 10 0.089830 54 10 0.089830 61 10 0.089830 62 10 0.089830 11 11 0.088435 21 11 0.088435 31 11 0.088435 32 11 0.088435 41 11 0.088435 42 11 0.088435 43 11 0.088435 51 11 0.088435 52 11 0.088435 53 11 0.088435 54 11 0.088435 61 11 0.088435 62 11 0.088435 11 12 0.090235 21 12 0.090235 31 12 0.090235 32 12 0.090235 41 12 0.090235 42 12 0.090235 43 12 0.090235 51 12 0.090235 52 12 0.090235 53 12 0.090235 54 12 0.090235 61 12 0.090235 62 12 0.090235 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-18 of 34 [DayVMTFraction] (July 2020) Source Month TypeID ID Road Day Source Month VMTFraction TypeID ID 11 7 1 21 7 1 5 0.766590 41 7 4 5 0.767169 5 0.766590 42 7 4 5 0.767169 31 7 32 7 1 5 0.766590 43 7 4 5 0.767169 1 5 0.766590 51 7 4 5 41 0.767169 7 1 5 0.766590 52 7 4 5 0.767169 42 7 1 5 0.766590 53 7 4 5 0.767169 43 7 1 5 0.766590 54 7 4 5 0.767169 51 7 1 5 0.766590 61 7 4 5 0.767169 52 7 1 5 0.766590 62 7 4 5 0.767169 53 7 1 5 0.766590 11 7 5 5 0.766169 54 7 1 5 0.766590 21 7 5 5 0.766169 61 7 1 5 0.766590 31 7 5 5 0.766169 62 7 1 5 0.766590 32 7 5 5 0.766169 11 7 2 5 0.767169 41 7 5 5 0.766169 21 7 2 5 0.767169 42 7 5 5 0.766169 31 7 2 5 0.767169 43 7 5 5 0.766169 32 7 2 5 0.767169 51 7 5 5 0.766169 41 7 2 5 0.767169 52 7 5 5 0.766169 42 7 2 5 0.767169 53 7 5 5 0.766169 43 7 2 5 0.767169 54 7 5 5 0.766169 51 7 2 5 0.767169 61 7 5 5 0.766169 52 7 2 5 0.767169 62 7 5 5 0.766169 53 7 2 5 0.767169 11 7 1 2 0.233410 54 7 2 5 0.767169 21 7 1 2 0.233410 61 7 2 5 0.767169 31 7 1 2 0.233410 62 7 2 5 0.767169 32 7 1 2 0.233410 11 7 3 5 0.766169 41 7 1 2 0.233410 21 7 3 5 0.766169 42 7 1 2 0.233410 31 7 3 5 0.766169 43 7 1 2 0.233410 32 7 3 5 0.766169 51 7 1 2 0.233410 41 7 3 5 0.766169 52 7 1 2 0.233410 42 7 3 5 0.766169 53 7 1 2 0.233410 43 7 3 5 0.766169 54 7 1 2 0.233410 51 7 3 5 0.766169 61 7 1 2 0.233410 52 7 3 5 0.766169 62 7 1 2 0.233410 53 7 3 5 0.766169 11 7 2 2 0.232831 54 7 3 5 0.766169 21 7 2 2 0.232831 61 7 3 5 0.766169 31 7 2 2 0.232831 62 7 3 5 0.766169 32 7 2 2 0.232831 11 7 4 5 0.767169 41 7 2 2 0.232831 21 7 4 5 0.767169 42 7 2 2 0.232831 31 7 4 5 0.767169 43 7 2 2 0.232831 32 7 4 5 0.767169 51 7 2 2 0.232831 TypeID dayID Road Day TypeID dayID VMTFraction 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-19 of 34 Source Month TypeID ID Road Day 52 7 2 2 0.232831 53 7 2 2 0.232831 54 7 2 2 0.232831 61 7 2 2 0.232831 62 7 2 2 0.232831 11 7 3 2 0.233831 21 7 3 2 0.233831 31 7 3 2 0.233831 32 7 3 2 0.233831 41 7 3 2 0.233831 42 7 3 2 0.233831 43 7 3 2 0.233831 51 7 3 2 0.233831 52 7 3 2 0.233831 53 7 3 2 0.233831 54 7 3 2 0.233831 61 7 3 2 0.233831 62 7 3 2 0.233831 11 7 4 2 0.232831 21 7 4 2 0.232831 31 7 4 2 0.232831 32 7 4 2 0.232831 41 7 4 2 0.232831 42 7 4 2 0.232831 43 7 4 2 0.232831 51 7 4 2 0.232831 52 7 4 2 0.232831 53 7 4 2 0.232831 54 7 4 2 0.232831 61 7 4 2 0.232831 62 7 4 2 0.232831 11 7 5 2 0.233831 21 7 5 2 0.233831 31 7 5 2 0.233831 32 7 5 2 0.233831 41 7 5 2 0.233831 42 7 5 2 0.233831 43 7 5 2 0.233831 51 7 5 2 0.233831 52 7 5 2 0.233831 53 7 5 2 0.233831 54 7 5 2 0.233831 61 7 5 2 0.233831 62 7 5 2 0.233831 TypeID dayID VMTFraction 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-20 of 34 [HourVMTFraction] (SourceTypeID 21: Passenger Car) Source Road T p 21 ID T p ID 1 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 1 1 1 1 1 1 1 1 1 1 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 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 dayID hourID 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 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 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 hourVMT Source Road Fr ti 0.008267 0.006433 0.006676 0.011278 0.028076 0.039805 0.049891 0.057923 0.054920 0.054672 0.055782 0.057667 0.060445 0.064991 0.067787 0.068523 0.068624 0.064840 0.050057 0.038283 0.030838 0.023774 0.018093 0.012353 0.008486 0.006760 0.006822 0.010873 0.027636 0.039261 0.050152 0.059197 0.056414 0.054529 0.055252 0.057561 0.059886 0.064113 0.066784 0.067238 0.067362 0.064484 0.050704 0.038627 0.031322 0.024670 0.018903 0.012965 0.008108 0.006194 0.006570 0.011574 0.028396 0.040201 0.049701 0.056995 0.053834 0.054776 0.056168 0.057745 0.060851 0.065631 0.068517 0.069459 0.069543 0.065100 0.049586 0.038032 0.030486 0.023122 0.017504 0.011908 0.008486 0.006760 0.006822 0.010873 0.027636 0.039261 0.050152 0.059197 T p21 ID T p ID 4 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 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 1 1 1 1 1 1 1 1 1 1 1 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 2 2 2 dayID hourID 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 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 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 hourVMT Fr ti 0.056414 0.054529 0.055252 0.057561 0.059886 0.064113 0.066784 0.067238 0.067362 0.064484 0.050704 0.038627 0.031322 0.024670 0.018903 0.012965 0.008108 0.006194 0.006570 0.011574 0.028396 0.040201 0.049701 0.056995 0.053834 0.054776 0.056168 0.057745 0.060851 0.065631 0.068517 0.069459 0.069543 0.065100 0.049586 0.038032 0.030486 0.023122 0.017504 0.011908 0.014193 0.010173 0.008572 0.008646 0.013301 0.021968 0.030803 0.036857 0.044568 0.054934 0.062589 0.067555 0.070204 0.070849 0.069378 0.067186 0.064332 0.060248 0.055515 0.048154 0.042155 0.033958 0.025878 0.017986 0.015296 0.011294 0.009507 0.009206 0.014050 0.021782 0.030193 0.035795 0.042929 0.053068 0.061003 0.067064 0.069749 0.070158 0.068705 0.066215 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-21 of 34 Source Road T p 21 ID T p ID 2 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 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 4 4 4 4 4 dayID hourID 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 hourVMT Source Road Fr ti 0.063170 0.060433 0.056317 0.048723 0.043317 0.035832 0.027175 0.019018 0.013395 0.009362 0.007895 0.008240 0.012758 0.022102 0.031244 0.037625 0.045755 0.056285 0.063737 0.067911 0.070533 0.071350 0.069865 0.067889 0.065174 0.060114 0.054934 0.047742 0.041314 0.032600 0.024938 0.017238 0.015296 0.011294 0.009507 0.009206 0.014050 0.021782 0.030193 0.035795 T p21 ID T p ID 4 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 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 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 dayID hourID 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 hourVMT 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Fr ti 0.042929 0.053068 0.061003 0.067064 0.069749 0.070158 0.068705 0.066215 0.063170 0.060433 0.056317 0.048723 0.043317 0.035832 0.027175 0.019018 0.013395 0.009362 0.007895 0.008240 0.012758 0.022102 0.031244 0.037625 0.045755 0.056285 0.063737 0.067911 0.070533 0.071350 0.069865 0.067889 0.065174 0.060114 0.054934 0.047742 0.041314 0.032600 0.024938 0.017238 [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 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 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 avgSpeed Fraction 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 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 Hour DayID 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 avgSpeed BinID 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 avgSpeed Fraction 0.000000 0.000000 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-22 of 34 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 45 45 45 45 55 55 55 55 55 55 55 55 55 55 55 55 55 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 avgSpeed BinID 13 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 avgSpeed Fraction 0.000294 0.000000 0.000000 0.000000 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 0.000000 0.005554 0.029942 0.118213 0.247465 0.307335 0.167285 0.096306 0.025305 0.000716 0.001368 0.000383 0.000128 0.000000 0.000000 0.000000 0.000000 0.005554 0.029942 0.118213 0.247465 0.307335 0.167285 0.096306 0.025305 0.000716 0.001368 0.000383 0.000128 0.000000 0.000000 0.000000 0.000000 0.005554 0.029942 0.118213 0.247465 0.307335 0.167285 0.096306 0.025305 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 95 95 95 95 95 95 95 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 105 115 115 115 115 115 115 115 115 115 115 115 115 115 115 115 115 125 125 125 125 125 125 125 125 125 125 125 125 125 125 125 125 135 135 135 135 135 135 135 135 135 135 135 135 135 135 135 135 145 145 145 145 145 145 avgSpeed BinID 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 0.000716 0.001368 0.000383 0.000128 0.000000 0.000000 0.000000 0.000000 0.001102 0.009586 0.059375 0.199995 0.301927 0.226382 0.156444 0.041360 0.001503 0.001036 0.001013 0.000277 0.000000 0.000000 0.000000 0.000000 0.001102 0.009586 0.059375 0.199995 0.301927 0.226382 0.156444 0.041360 0.001503 0.001036 0.001013 0.000277 0.000000 0.000000 0.000000 0.000000 0.001102 0.009586 0.059375 0.199995 0.301927 0.226382 0.156444 0.041360 0.001503 0.001036 0.001013 0.000277 0.000000 0.000000 0.000000 0.000000 0.001102 0.009586 0.059375 0.199995 0.301927 0.226382 0.156444 0.041360 0.001503 0.001036 0.001013 0.000277 0.000000 0.000000 0.000000 0.000000 0.001102 0.009586 0.059375 0.199995 0.301927 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-23 of 34 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 145 145 145 145 145 145 145 145 145 145 155 155 155 155 155 155 155 155 155 155 155 155 155 155 155 155 165 165 165 165 165 165 165 165 165 165 165 165 165 165 165 165 175 175 175 175 175 175 175 175 175 175 175 175 175 175 175 175 185 185 185 185 185 185 185 185 185 185 185 185 185 185 185 185 195 195 195 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 avgSpeed Fraction 0.226382 0.156444 0.041360 0.001503 0.001036 0.001013 0.000277 0.000000 0.000000 0.000000 0.000000 0.004399 0.038927 0.157206 0.303988 0.312270 0.117996 0.049183 0.013889 0.000931 0.000941 0.000223 0.000047 0.000000 0.000000 0.000000 0.000000 0.004399 0.038927 0.157206 0.303988 0.312270 0.117996 0.049183 0.013889 0.000931 0.000941 0.000223 0.000047 0.000000 0.000000 0.000000 0.000000 0.004399 0.038927 0.157206 0.303988 0.312270 0.117996 0.049183 0.013889 0.000931 0.000941 0.000223 0.000047 0.000000 0.000000 0.000000 0.000000 0.004399 0.038927 0.157206 0.303988 0.312270 0.117996 0.049183 0.013889 0.000931 0.000941 0.000223 0.000047 0.000000 0.000000 0.000000 0.000000 0.000919 0.005931 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 195 195 195 195 195 195 195 195 195 195 195 195 195 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 205 215 215 215 215 215 215 215 215 215 215 215 215 215 215 215 215 225 225 225 225 225 225 225 225 225 225 225 225 225 225 225 225 235 235 235 235 235 235 235 235 235 235 235 235 235 235 235 235 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 avgSpeed Fraction 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 0.000000 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-24 of 34 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 245 245 245 245 245 245 245 245 245 245 245 245 245 245 245 245 12 12 12 12 12 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 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 0.000919 0.005931 0.054255 0.188021 0.274763 0.237089 0.176777 0.057156 0.002529 0.001116 0.001149 0.000294 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.137994 0.862006 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 0.137994 0.862006 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 0.137994 0.862006 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 0.137994 0.862006 0.000000 0.000000 0.000000 0.000000 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 42 42 42 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 52 62 62 62 62 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 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 avgSpeed Fraction 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.137994 0.862006 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 0.137994 0.862006 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 0.185049 0.814951 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 0.185049 0.814951 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 0.185049 0.814951 0.000000 0.000000 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-25 of 34 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 92 92 92 92 92 92 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 102 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 112 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 122 132 132 132 132 132 132 132 132 132 132 132 132 132 132 132 132 142 142 142 142 142 142 142 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 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.365281 0.634719 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 0.365281 0.634719 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 0.365281 0.634719 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 0.365281 0.634719 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 0.365281 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 142 142 142 142 142 142 142 142 142 152 152 152 152 152 152 152 152 152 152 152 152 152 152 152 152 162 162 162 162 162 162 162 162 162 162 162 162 162 162 162 162 172 172 172 172 172 172 172 172 172 172 172 172 172 172 172 172 182 182 182 182 182 182 182 182 182 182 182 182 182 182 182 182 192 192 192 192 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 avgSpeed Fraction 0.634719 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 0.222566 0.777434 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 0.222566 0.777434 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 0.222566 0.777434 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 0.222566 0.777434 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-26 of 34 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 Hour DayID 192 192 192 192 192 192 192 192 192 192 192 192 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 202 212 212 212 212 212 212 212 212 212 212 212 212 212 212 212 212 222 222 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 avgSpeed Fraction 0.000000 0.000000 0.137994 0.862006 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 0.137994 0.862006 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 0.137994 0.862006 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 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 Hour DayID 222 222 222 222 222 222 222 222 222 222 222 222 222 222 232 232 232 232 232 232 232 232 232 232 232 232 232 232 232 232 242 242 242 242 242 242 242 242 242 242 242 242 242 242 242 242 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 avgSpeed Fraction 0.000000 0.000000 0.000000 0.000000 0.137994 0.862006 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 0.137994 0.862006 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 0.137994 0.862006 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 [AVFT] (SourceTypeID 42: Transit Bus) Source Model Fuel Eng fuelEng Source Model Fuel Eng fuelEng TypeID YearID TypeID TechID Fraction TypeID YearID TypeID TechID Fraction 42 1960 1 1 0.000000 42 1964 2 1 1.000000 42 1960 2 1 1.000000 42 1964 3 1 0.000000 42 1960 3 1 0.000000 42 1965 1 1 0.000000 42 1961 1 1 0.000000 42 1965 2 1 1.000000 42 1961 2 1 1.000000 42 1965 3 1 0.000000 42 1961 3 1 0.000000 42 1966 1 1 0.000000 42 1962 1 1 0.000000 42 1966 2 1 1.000000 42 1962 2 1 1.000000 42 1966 3 1 0.000000 42 1962 3 1 0.000000 42 1967 1 1 0.000000 42 1963 1 1 0.000000 42 1967 2 1 1.000000 42 1963 2 1 1.000000 42 1967 3 1 0.000000 42 1963 3 1 0.000000 42 1968 1 1 0.000000 42 1964 1 1 0.000000 42 1968 2 1 1.000000 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-27 of 34 Source Model Fuel Eng fuelEng Source Model Fuel Eng fuelEng TypeID YearID TypeID TechID Fraction TypeID YearID TypeID TechID Fraction 42 1968 3 1 0.000000 42 1983 3 1 0.000000 42 1969 1 1 0.000000 42 1984 1 1 0.001639 42 1969 2 1 1.000000 42 1984 2 1 0.998361 42 1969 3 1 0.000000 42 1984 3 1 0.000000 42 1970 1 1 0.000000 42 1985 1 1 0.003180 42 1970 2 1 1.000000 42 1985 2 1 0.996820 42 1970 3 1 0.000000 42 1985 3 1 0.000000 42 1971 1 1 0.000000 42 1986 1 1 0.004762 42 1971 2 1 1.000000 42 1986 2 1 0.995238 42 1971 3 1 0.000000 42 1986 3 1 0.000000 42 1972 1 1 0.000000 42 1987 1 1 0.000000 42 1972 2 1 1.000000 42 1987 2 1 1.000000 42 1972 3 1 0.000000 42 1987 3 1 0.000000 42 1973 1 1 0.000000 42 1988 1 1 0.000879 42 1973 2 1 1.000000 42 1988 2 1 0.999121 42 1973 3 1 0.000000 42 1988 3 1 0.000000 42 1974 1 1 0.000000 42 1989 1 1 0.000000 42 1974 2 1 1.000000 42 1989 2 1 0.999440 42 1974 3 1 0.000000 42 1989 3 1 0.000560 42 1975 1 1 0.000000 42 1990 1 1 0.001386 42 1975 2 1 1.000000 42 1990 2 1 0.998614 42 1975 3 1 0.000000 42 1990 3 1 0.000000 42 1976 1 1 0.000000 42 1991 1 1 0.003914 42 1976 2 1 1.000000 42 1991 2 1 0.996086 42 1976 3 1 0.000000 42 1991 3 1 0.000000 42 1977 1 1 0.000000 42 1992 1 1 0.000850 42 1977 2 1 1.000000 42 1992 2 1 0.988095 42 1977 3 1 0.000000 42 1992 3 1 0.011054 42 1978 1 1 0.000000 42 1993 1 1 0.005233 42 1978 2 1 1.000000 42 1993 2 1 0.929356 42 1978 3 1 0.000000 42 1993 3 1 0.065411 42 1979 1 1 0.000000 42 1994 1 1 0.013284 42 1979 2 1 1.000000 42 1994 2 1 0.950985 42 1979 3 1 0.000000 42 1994 3 1 0.035731 42 1980 1 1 0.000000 42 1995 1 1 0.031597 42 1980 2 1 1.000000 42 1995 2 1 0.881597 42 1980 3 1 0.000000 42 1995 3 1 0.086806 42 1981 1 1 0.000000 42 1996 1 1 0.010136 42 1981 2 1 1.000000 42 1996 2 1 0.927298 42 1981 3 1 0.000000 42 1996 3 1 0.062566 42 1982 1 1 0.000000 42 1997 1 1 0.001076 42 1982 2 1 1.000000 42 1997 2 1 0.895615 42 1982 3 1 0.000000 42 1997 3 1 0.103309 42 1983 1 1 0.000000 42 1998 1 1 0.001219 42 1983 2 1 1.000000 42 1998 2 1 0.897367 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-28 of 34 Source Model Fuel Eng fuelEng Source Model Fuel Eng fuelEng TypeID YearID TypeID TechID Fraction TypeID YearID TypeID TechID Fraction 42 1998 3 1 0.101414 42 2013 3 1 0.955975 42 1999 1 1 0.001580 42 2014 1 1 0.187500 42 1999 2 1 0.907942 42 2014 2 1 0.812500 42 1999 3 1 0.090478 42 2014 3 1 0.000000 42 2000 1 1 0.067590 42 2015 1 1 0.069767 42 2000 2 1 0.845526 42 2015 2 1 0.000000 42 2000 3 1 0.086884 42 2015 3 1 0.930233 42 2001 1 1 0.097174 42 2016 1 1 0.000000 42 2001 2 1 0.811221 42 2016 2 1 0.552632 42 2001 3 1 0.091605 42 2016 3 1 0.447368 42 2002 1 1 0.118837 42 2017 1 1 0.046512 42 2002 2 1 0.767464 42 2017 2 1 0.232558 42 2002 3 1 0.113698 42 2017 3 1 0.720930 42 2003 1 1 0.142492 42 2018 1 1 0.034286 42 2003 2 1 0.791905 42 2018 2 1 0.228571 42 2003 3 1 0.065603 42 2018 3 1 0.737143 42 2004 1 1 0.162960 42 2019 1 1 0.160000 42 2004 2 1 0.802204 42 2019 2 1 0.360000 42 2004 3 1 0.034836 42 2019 3 1 0.480000 42 2005 1 1 0.161788 42 2020 1 1 0.010526 42 2005 2 1 0.776347 42 2020 2 1 0.536842 42 2005 3 1 0.061866 42 2020 3 1 0.452632 42 2006 1 1 0.173180 42 2021 1 1 0.137906 42 2006 2 1 0.803633 42 2021 2 1 0.802787 42 2006 3 1 0.023186 42 2021 3 1 0.059307 42 2007 1 1 0.000000 42 2022 1 1 0.137906 42 2007 2 1 1.000000 42 2022 2 1 0.802787 42 2007 3 1 0.000000 42 2022 3 1 0.059307 42 2008 1 1 0.000000 42 2023 1 1 0.137906 42 2008 2 1 0.909091 42 2023 2 1 0.802787 42 2008 3 1 0.090909 42 2023 3 1 0.059307 42 2009 1 1 0.000000 42 2024 1 1 0.137906 42 2009 2 1 0.000000 42 2024 2 1 0.802787 42 2009 3 1 1.000000 42 2024 3 1 0.059307 42 2010 1 1 0.000000 42 2025 1 1 0.137906 42 2010 2 1 1.000000 42 2025 2 1 0.802787 42 2010 3 1 0.000000 42 2025 3 1 0.059307 42 2011 1 1 0.000000 42 2026 1 1 0.137906 42 2011 2 1 0.435897 42 2026 2 1 0.802787 42 2011 3 1 0.564103 42 2026 3 1 0.059307 42 2012 1 1 0.000000 42 2027 1 1 0.137906 42 2012 2 1 0.000000 42 2027 2 1 0.802787 42 2012 3 1 1.000000 42 2027 3 1 0.059307 42 2013 1 1 0.018868 42 2028 1 1 0.137906 42 2013 2 1 0.025157 42 2028 2 1 0.802787 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-29 of 34 Source Model Fuel Eng fuelEng Source Model Fuel Eng fuelEng TypeID YearID TypeID TechID Fraction TypeID YearID TypeID TechID Fraction 42 2028 3 1 0.059307 42 2043 3 1 0.059307 42 2029 1 1 0.137906 42 2044 1 1 0.137906 42 2029 2 1 0.802787 42 2044 2 1 0.802787 42 2029 3 1 0.059307 42 2044 3 1 0.059307 42 2030 1 1 0.137906 42 2045 1 1 0.137906 42 2030 2 1 0.802787 42 2045 2 1 0.802787 42 2030 3 1 0.059307 42 2045 3 1 0.059307 42 2031 1 1 0.137906 42 2046 1 1 0.137906 42 2031 2 1 0.802787 42 2046 2 1 0.802787 42 2031 3 1 0.059307 42 2046 3 1 0.059307 42 2032 1 1 0.137906 42 2047 1 1 0.137906 42 2032 2 1 0.802787 42 2047 2 1 0.802787 42 2032 3 1 0.059307 42 2047 3 1 0.059307 42 2033 1 1 0.137906 42 2048 1 1 0.137906 42 2033 2 1 0.802787 42 2048 2 1 0.802787 42 2033 3 1 0.059307 42 2048 3 1 0.059307 42 2034 1 1 0.137906 42 2049 1 1 0.137906 42 2034 2 1 0.802787 42 2049 2 1 0.802787 42 2034 3 1 0.059307 42 2049 3 1 0.059307 42 2035 1 1 0.137906 42 2050 1 1 0.137906 42 2035 2 1 0.802787 42 2050 2 1 0.802787 42 2035 3 1 0.059307 42 2050 3 1 0.059307 42 2036 1 1 0.137906 42 2051 1 1 0.137906 42 2036 2 1 0.802787 42 2051 2 1 0.802787 42 2036 3 1 0.059307 42 2051 3 1 0.059307 42 2037 1 1 0.137906 42 2052 1 1 0.137906 42 2037 2 1 0.802787 42 2052 2 1 0.802787 42 2037 3 1 0.059307 42 2052 3 1 0.059307 42 2038 1 1 0.137906 42 2053 1 1 0.137906 42 2038 2 1 0.802787 42 2053 2 1 0.802787 42 2038 3 1 0.059307 42 2053 3 1 0.059307 42 2039 1 1 0.137906 42 2054 1 1 0.137906 42 2039 2 1 0.802787 42 2054 2 1 0.802787 42 2039 3 1 0.059307 42 2054 3 1 0.059307 42 2040 1 1 0.137906 42 2055 1 1 0.137906 42 2040 2 1 0.802787 42 2055 2 1 0.802787 42 2040 3 1 0.059307 42 2055 3 1 0.059307 42 2041 1 1 0.137906 42 2056 1 1 0.137906 42 2041 2 1 0.802787 42 2056 2 1 0.802787 42 2041 3 1 0.059307 42 2056 3 1 0.059307 42 2042 1 1 0.137906 42 2057 1 1 0.137906 42 2042 2 1 0.802787 42 2057 2 1 0.802787 42 2042 3 1 0.059307 42 2057 3 1 0.059307 42 2043 1 1 0.137906 42 2058 1 1 0.137906 42 2043 2 1 0.802787 42 2058 2 1 0.802787 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-30 of 34 Source Model Fuel Eng fuelEng Source Model Fuel Eng fuelEng TypeID YearID TypeID TechID Fraction TypeID YearID TypeID TechID Fraction 42 2058 3 1 0.059307 42 2060 1 1 0.137906 42 2059 1 1 0.137906 42 2060 2 1 0.802787 42 2059 2 1 0.802787 42 2060 3 1 0.059307 42 2059 3 1 0.059307 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-31 of 34 RunSpec Summary (Maricopa County) * Output Database Server Name: [using default] * Scale: Domain/Scale: County Calculation Type: Inventory * Time Spans: Time Aggregation Level: Hour Years: 2020 Months: January - December Days: Weekend and 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: c04013y2020 * Vehicles/Equipment On Road Vehicle Equipment: Compressed natural Gas (CNG) - Other Buses Compressed natural Gas (CNG) - Transit Bus Compressed natural Gas (CNG) - School Bus Compressed natural Gas (CNG) - Refuse Truck Compressed natural Gas (CNG) - Single Unit Short-haul Truck Compressed natural Gas (CNG) - Single Unit Long-haul Truck Compressed natural Gas (CNG) - Motor Home Compressed natural Gas (CNG) - Combination Short-haul Truck Diesel Fuel - Passenger Car Diesel Fuel - Passenger Truck Diesel Fuel - Light Commercial Truck Diesel Fuel - Other Buses Diesel Fuel - Transit Bus Diesel Fuel - School Bus Diesel Fuel - Refuse Truck Diesel Fuel - Single Unit Short-haul Truck Diesel Fuel - Single Unit Long-haul Truck Diesel Fuel - Motor Home Diesel Fuel - Combination Short-haul Truck Diesel Fuel - Combination Long-haul Truck Electricity - Passenger Car Electricity - Passenger Truck Electricity - Light Commercial Truck Ethanol (E-85) - Passenger Car Ethanol (E-85) - Passenger Truck 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-32 of 34 Ethanol (E-85) - Light Commercial Truck Gasoline - Motorcycle Gasoline - Passenger Car Gasoline - Passenger Truck Gasoline - Light Commercial Truck Gasoline - Other Buses Gasoline - Transit Bus Gasoline - School Bus Gasoline - Refuse Truck Gasoline - Single Unit Short-haul Truck Gasoline - Single Unit Long-haul Truck Gasoline - Motor Home Gasoline - Combination Short-haul Truck * 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 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-33 of 34 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) - Refueling Displacement Vapor Loss Methane (CH4) - Refueling Spillage Loss 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 2020 Periodic Emissions Inventory for Ozone Precursors Appendix C. MOVES3 Input Data and RunSpec Summary (Maricopa County) Page C-34 of 34 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 * Output General Output: Output Database: c04013y2020_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: Output Aggregation: Time (24-Hour Day) Geographic (COUNTY) For All Vehicle/Equipment Categories: Fuel Type Emission Process On Road: Road Type Source Use Type Regulatory Class 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-1 of 15 Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory The table below lists facilities whose reported 2020 emissions have been included in the area source categories of this 2020 Periodic Emissions Inventory for Ozone Precursors. Table D–1: Emissions (tons/year) from facilities whose emissions are reflected in nonpoint source categories in the 2020 Periodic Emissions Inventory. Facility ID Facility Name Address CO NOX VOC F000002 Green Acres Mortuary and 401 N. Hayden Rd., Scottsdale 0.0 0.0 0.0 Cemetery F000003 Empire Machinery Co 1725 S. Country Club Dr., Mesa 1.5 4.5 3.7 F000005 Phoenix Newspapers Inc 22600 N. 19th Ave., Phoenix 0.2 0.5 2.9 F000021 Salt River Project N. Horseshoe Dam Rd., Cave 3.0 2.4 0.7 Horseshoe Dam Creek F000022 Oldcastle Precast Inc 411 E. Frye Rd., Chandler 0.0 0.0 5.3 F000030 Crafco 6975 W. Crafco Way., Chandler 0.2 0.3 0.1 F000032 Phoenix Heat Treating Inc 2405 W. Mohave Rd., Phoenix 1.3 1.5 1.7 F000033 Star Roofing Inc 9201 N. 9th Ave., Phoenix 0.8 F000037 Palo Verde Nuclear 5801 S. Wintersburg Rd., 14.8 56.7 8.6 Generating Station Tonopah F000042 APS Aligned Energy Data 2500 W. Union Hills Dr., 7.2 7.2 0.8 Center Phoenix F000048 Northwest Water 960 N. Riverview, Mesa 4.0 3.9 1.2 Reclamation Plant F000066 City Of Mesa - Mesa Arts 1 E. Main St., Mesa 2.9 3.8 0.8 Center F000079 Glendale Mun Sanitary 11480 W. Glendale Ave., 9.4 5.4 2.3 Landfill/Fld Oper Glendale F000096 Sunstate Equipment Co 7722 W. Olive Ave., Peoria 0.4 LLC F000107 Magellan Aerospace 5440 W. Missouri Ave., 0.8 1.0 23.0 Glendale F000108 Madison Granite Supplies 29925 N. North Valley Pkwy., 42.6 21.4 4.6 Phoenix F000110 Bp Graphics Inc 3940 W. Montecito Ave., 2.4 Phoenix F000111 Phoenix Indian Medical 4212 N. 16th St., Phoenix 0.6 1.5 0.1 Center F000113 Superlite Block 301 E. Baseline Rd., Gilbert 0.2 0.3 0.0 F000114 Hydro Conduit Corp 1011 S. 43rd Ave., Phoenix 0.0 0.0 0.0 F000123 Building Products Co 4850 W. Buckeye Rd., Phoenix 7.6 3.1 1.5 F000125 Boral Roofing LLC 1832 S. 51st Ave., Phoenix 0.4 0.5 1.9 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-2 of 15 Facility ID Facility Name F000126 Corrosion Engineering, Inc. F000128 United Dairymen Of Arizona F000132 AF Lorts Manufacturing Company Inc F000133 The Boeing Company F000148 Schuff Steel Co F000150 Western Stucco Products Co Inc F000151 Copper State Rubber Of Arizona F000154 Carl T. Hayden VA Medical Center F000159 Olson Precast Of Arizona Inc F000173 East Valley Bus Operations and Maintenance F000180 Pioneer Landscaping Materials Inc F000186 Tech Group Phoenix F000192 Marlam Industries Inc F000202 Cutter Aviation Deer Valley F000204 Storopack Inc F000205 Coreslab Structures (Ariz) Inc F000211 Parker Hannifin Corp F000216 Western Area Power Admin F000218 Gold Bond Building Products LLC F000219 Standard Printing Co Inc F000220 Rogers Corporation Roosevelt Ave Facility F000221 Coplin Mfg Inc F000266 Red Mountain Mining Inc F000273 Meldrum Mortuary and Crematory Address 145 S. Nina Circle, Mesa CO 0.6 NOX 0.8 VOC 10.4 2008 S. Hardy Dr., Tempe 47.6 28.3 2.9 15836 W. Eddie Albert Way., Goodyear 5000 E. McDowell Rd., Mesa 420 S. 19th Ave., Phoenix 6101 N. 53rd Dr., Glendale 10.7 1.5 1.9 23.8 2.0 10485 W. Roosevelt St., Avondale 650 E. Indian School Rd., Phoenix 3045 S. 35th Ave., Phoenix 0.2 0.2 2.2 2.1 1.9 0.5 2050 W. Rio Salado Pkwy., Tempe 0.1 31906 W. Camelback Rd., Buckeye 470 W. Vaughn St., Tempe 834 E. Hammond Ln., Phoenix 732 W. Deer Valley Rd., Phoenix 1423 S. 9th St., Phoenix 5026 S. 43rd Ave., Phoenix 1.2 0.3 0.1 3.2 0.0 0.0 0.1 0.1 5.4 24.6 17.4 2.7 6.2 7777 N. Glen Harbor Blvd., Glendale 615 S. 43rd Ave., Phoenix 0.1 0.3 0.0 1414 E. Hadley St., Phoenix 23.3 16.3 13.4 3540 W. Lincoln St., Phoenix 100 S. Roosevelt Ave., Chandler 0.0 12.0 0.0 1.8 0.5 9.0 7505 W. Washington St., Tolleson 4520 N. Power Rd., Mesa 52 N. MacDonald., Mesa 37.1 2.9 1.0 0.0 4.7 0.1 0.7 0.0 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-3 of 15 Facility ID F000275 F000278 F000279 F000282 Facility Name Best Funeral Services, Inc. Kilauea Crushers Inc Kilauea Crushers Inc Ironwood Lithographers Inc F000285 Brewer Cote Of Arizona F000287 Jeld-Wen Inc F000293 Sportex Apparel Of Arizona Inc F000301 ZF Passive Safety Systems US Inc F000317 Morton Salt Inc F000389 Buse Printing and Advertising - Harvard F000390 Buse Printing and Advertising - 21st F000396 JPCI Services F000398 Copperstate Cabinet Co Inc F000412 Independent Newsmedia Inc Usa F000413 Atlas Roofing Corporation F000414 Shamrock Foods Co F000418 Courier Graphics Corp F000419 Medtronic - Tempe F000434 Baker Commodities F000435 American Fence and Security Co Inc F000437 Mission Uniform and Linen Service F000444 Cavco Industries LLC Durango Plant F000447 Henry Products Inc F000449 Quality Block Inc F000452 Forest Designs F000454 Able Steel Fabricators F000456 Glenn Weinberger Topsoil Inc Address 9380 W. Peoria Ave., Peoria Highway 74, Wickenburg 16402 S. Tuthill Rd., Buckeye 455 S. 52nd St., Tempe CO 0.1 4.2 4.1 NOX 1.2 19.7 19.1 VOC 0.0 1.6 1.6 0.2 5226 W. Missouri Ave., Glendale 1002 S. 54th Ave., Phoenix 2020 W. 4th St., Tempe 0.0 0.0 0.0 0.0 0.7 0.8 11202 E. Germann Rd., Mesa 0.3 0.4 4.2 13000 W. Glendale Ave., Glendale 1616 E. Harvard St., Phoenix 0.5 0.7 0.2 1.3 903 N. 21st Ave., Phoenix 1.3 4702 E. Virginia St., Mesa 1932 W. North Ln., Phoenix 2.7 6.7 23043 N. 16th Ln., Phoenix 2.0 40 S. 45th Ave., Phoenix 2228 N. Black Canyon Hwy., Phoenix 2621 S. 37th St., Phoenix 2343 W. Medtronic Way., Tempe 3602 W. Elwood St., Phoenix 2737 West Virginia Ave., Phoenix 2652 S. 16th St., Phoenix 0.0 9.4 0.0 11.2 9.9 1.6 0.4 0.8 0.5 0.9 0.6 16.7 0.0 4.3 2.5 7.6 1.9 2.9 0.1 2502 W. Durango St., Phoenix 302 S. 23rd Ave., Phoenix 3035 S. 35th Ave., Phoenix 3230 E. Roeser Rd., Phoenix 4150 E. Quartz Circle, Mesa 3425 S. 43rd Ave., Phoenix 9.5 0.4 1.1 0.5 1.3 17.1 0.1 6.6 2.8 0.5 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-4 of 15 Facility ID Facility Name F000462 Swift Transportation Co Inc F000464 ATandT AZ 3340 F000468 Farmer's Gin Inc F000469 Oakcraft Inc F000470 Phoenix Metalcraft Inc F000523 Southwest Airlines Co F000536 Pete King Construction Company F000634 Parks and Sons Of Sun City Inc F000641 Calvert Oil Co F000647 F000657 F000658 F000666 F000686 F000702 F000719 F000726 F000729 F000751 F000752 OT Caljet Holsum Bakery Inc Holsum Bakery The Inventure Group Inc Arizona Galvanizing, Inc. Intel Corp Chandler Campus (Fab 6) Purcells Western States Tire Schreiber Foods Inc Mesa Fully Formed LLC Ben Franklin Press Inc Hickman's Egg Ranch F000757 United Printing and Mailing F000763 Arizona State University Tempe Campus F000789 Microchip Technology Inc F000792 Pilot Travel Center #1180 F000803 Litho Tech Inc F000804 Craftsmen In Wood Mfg. Co. F000806 Thermo Fluids Inc. F000808 Amber Steel Fabrication Inc Address 2200 S. 75th Ave., Phoenix CO 0.2 NOX 0.3 VOC 3.9 1231 W. University Dr., Mesa 8400 S. Turner Rd., Buckeye 7733 W. Olive Ave., Peoria 3845 N. 29th Ave., Phoenix 4153 E. Sky Harbor Blvd., Phoenix 11040 N. 19th Ave., Phoenix 0.2 0.0 0.1 1.0 0.1 0.1 0.3 0.6 0.0 0.0 71.8 0.9 3.9 11629 NW. Grand Ave., El Mirage 214 E. Arizona Eastern Ave., Buckeye 57 N. 57th Ave., Phoenix 2322 W. Lincoln St., Phoenix 9600 W. Buckeye Rd., Tolleson 3500 S. La Cometa, Goodyear 15775 W. Elwood St., Goodyear 5000 W. Chandler Blvd., Chandler 420 S. 35th Ave., Phoenix 0.0 0.0 0.0 2.5 0.6 2.3 1.2 4.1 3.3 8.1 2.8 1.4 4.9 2.3 10.7 8.4 7.1 5.7 0.4 0.2 23.1 0.0 0.0 5.3 2122 S. Hardy Dr., Tempe 1111 S. Sirrine St., Mesa 910 S. Hohokam Dr., Tempe 32425 W. Salome Highway, Arlington 4833 S. 38th St., Phoenix 9.9 11.8 1.2 4.0 0.6 8.4 1.0 1.9 1551 S. Rural Rd., Tempe 10.4 23.2 1.8 1200 S. 52nd St., Tempe 41112 W. Indian School Rd., Tonopah 2020 N. 22nd Ave., Phoenix 5441 W. Hadley St., Phoenix 5.2 8.2 7.2 1.8 4301 W. Jefferson St., Phoenix 11331 E. Germann Rd., Chandler 5.7 0.2 0.1 1.5 4.3 0.1 18.5 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-5 of 15 Facility ID Facility Name F000809 Sumco Southwest Corporation F000810 Serenity Mortuary Services F000815 Camino Del Sol Funeral Chapel and Cremation F000824 Western States Petroleum F000834 Paradise Memorial Crematory F000858 International Printing Company F000873 Catalina Roofing and Supply Inc F000876 Don Sanderson Ford Inc F001186 91st Ave Wastewater Treatment Plant F001209 SR 85 Landfill F001216 City Clerk Dept Printing and Design Svcs F001256 Costco Wholesale #427 F001257 F001258 F001259 F001260 Costco Wholesale #436 Costco Wholesale #465 Costco Wholesale #481 Costco Gasoline #665 F001261 Costco Gasoline #490 F001262 Costco Wholesale #674 F001263 Costco Wholesale #691 F001264 F001265 F001266 F001267 F001268 F001269 F001270 F001280 Costco Wholesale #736 Costco Gasoline #644 Costco Gasoline #738 Costco Gasoline Loc. 827 (Air) Costco Gasoline #1028 Costco Wholesale #1058 Honor Health Shea Medical Center ASPC-Lewis Address 19801 N. Tatum Blvd., Phoenix CO 2.1 NOX 12.3 VOC 9.7 2514 S. 6th Ave., Phoenix 13738 W. Camino Del Sol, Sun City West 450 S. 15th Ave., Phoenix 9300 E. Shea Blvd., Scottsdale 0.1 0.0 2.2 0.4 0.0 0.0 0.2 2.9 11.3 0.1 2241 S. 7th St., Phoenix 0.9 2021 W. Williams Dr., Phoenix 6400 N. 51st Ave., Glendale 5615 S. 91st Ave., Tolleson 0.0 1.6 0.0 4.2 0.1 2.1 1.9 28633 W. Patterson Rd., Buckeye 2640 S. 22nd Ave., Phoenix 8.2 6.8 1.9 0.1 15255 N. Hayden Rd., Scottsdale 1445 W. Elliot Rd., Tempe 4502 E. Oak St., Phoenix 1415 N. Arizona Ave., Gilbert 1646 W. Montebello Ave., Phoenix 19001 N. 27th Ave., Phoenix 17550 N. 79th Ave., Glendale 10000 W. McDowell Rd., Avondale 595 S. Galleria Way., Chandler 2002 E. Pecos Rd., Gilbert 2454 E. Beardsley Rd., Phoenix 3801 N. 33rd Ave., Phoenix 7.9 13.9 13.9 16.1 10.7 17.0 16.6 14.6 15.3 16.8 15.5 8.3 7525 E. Hampton Rd., Mesa 4550 E. Cactus Rd., Phoenix 9003 E. Shea Blvd., Scottsdale 9.2 13.0 17.7 15.0 4.9 26700 S. Highway 85, Buckeye 3.3 8.9 2.7 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-6 of 15 Facility ID Facility Name F001328 Pet and Animal Lovers Service (Pals) F001331 Quikjet - Monroe I and II Terminals F001332 Caljet F001334 Phoenix-Mesa Gateway Airport Authority F001347 Southwest Regional Landfill F001363 JW Marriott Desert Ridge Hotel F001375 ME Global Inc F001385 Arizona Custom Cabinets Inc F001391 Allied Tube And Conduit F001392 Quickrete Companies Arizona F001407 Honor Health Deer Valley Medical Center F001408 Honor Health John C. Lincoln Medical Center F001423 Superlite Block F001424 Superlite West Phoenix F001438 Panoramic Press Inc F001443 Pan Glo Services LLC F001449 S-L Snacks Az, LLC F001450 Bartlett Lake Marina F001451 Print Time F001458 Ping Inc F001460 F001473 F001481 F001482 Speedflo Business Forms Super Radiator Coils Ltd Pepsico Ameripride Linen and Apparel Service F001495 Banner Baywood Medical Center F001496 Banner Boswell Medical Center F001497 Banner Good Samaritan Medical Center Address 3629 N. 40th Ave., Phoenix CO 0.1 NOX 2.7 VOC 0.0 5119 W. Monroe St., Phoenix 0.2 0.1 49.7 125 N. 53rd Ave., Phoenix 5835 S. Sossaman Rd., Mesa 0.1 0.3 0.0 1.4 39.8 1.2 24427 S. Highway 85, Buckeye 3.1 18.5 6.9 5350 E. Marriott Dr., Phoenix 3.0 3.6 0.4 5857 S. Kyrene Rd., Tempe 8729 N. 78th Ave., Peoria 53.4 17.3 8.6 4.2 2525 N. 27th Ave., Phoenix 26807 W. Baseline Rd., Buckeye 0.4 1.7 0.5 3.0 9.8 0.2 19829 N. 27th Ave., Phoenix 2.8 4.5 0.3 250 E. Dunlap Ave., Phoenix 3.8 5.3 0.3 4021 S. 19th Ave., Phoenix 4626 N. 42nd Ave., Phoenix 2920 N. 35th St., Phoenix 2401 W. Sherman St., Phoenix 1200 N. Bullard Ave., Goodyear 20808 E. Bartlett Dam Rd., Carefree 2634 S. 16th St., Phoenix 2201 W. Desert Cove Ave., Phoenix 5606 N. 54th Ave., Glendale 2610 S. 21st St., Phoenix 409 S. 104th Ave., Tolleson 6025 W. Van Buren St., Phoenix 0.2 0.6 0.3 0.7 0.4 6.9 3.8 0.5 8.2 17.8 0.0 0.0 1.0 84.3 9.3 3.4 0.2 0.1 9.6 0.3 14.2 1.1 0.3 7.0 1.3 0.6 0.0 8.0 0.2 6644 E. Baywood Ave., Mesa 0.5 1.5 0.1 10401 W. Thunderbird Blvd., Sun City 1111 E. McDowell Rd., Phoenix 0.3 1.3 0.1 36.0 44.9 2.5 0.1 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-7 of 15 Facility ID Facility Name F001498 Banner Desert Medical Center F001499 Banner Thunderbird Medical Center F001500 Banner Mesa Medical Center F001502 Banner Gateway Medical Center F001507 St Luke's Medical Center F001512 Schaumaplast Precision Foam Molding LP F001525 Chandler Regional Medical Center F001528 Honeywell International Inc F001530 Honeywell Engines Sys and Service Phx R and O F001548 Eagle Roofing Products F001553 MCI F001554 One Touch Point-West F001560 Coffman Specialties Inc F001564 Michael L Riddle Painting Inc F001568 Hanson Aggregates, LLC 51st Avenue F001569 River Ranch Plant #40 F001570 Hanson Aggregates LLC F001571 Hanson Aggregates, LLC F001573 Creative Printing And Packaging F001581 Vulcan Materials CoWestern Division F001582 Vulcan Materials CoWestern Division F001584 Vulcan Materials Co F001624 Love's Country Store #296 F001630 Burdette Cabinet Co Address 1400 S. Dobson Rd., Mesa CO 1.5 NOX 5.9 VOC 0.5 5555 W. Thunderbird Rd., Glendale 525 W. Brown Rd., Mesa 3.1 4.5 0.3 0.5 1.1 0.1 1900 N. Higley Rd., Gilbert 2.3 3.1 0.2 1800 E. Van Buren St., Phoenix 21 N. 39th Ave., Phoenix 0.1 0.0 2.2 0.0 0.1 9.8 1955 W. Frye Rd., Chandler 2.7 3.9 0.9 1300 W. Warner Rd., Tempe 1.7 2.2 10.9 1944 E. Sky Harbor Circle, Phoenix 4602 W. Elwood St., Phoenix 3415 E. Indian School Rd., Phoenix 525 W. Alameda Dr., Tempe Loop 101 and SR 51 interchange., Phoenix 5922 N. Black Canyon Highway, Phoenix 4002 S. 51st Ave., Phoenix 0.6 3.2 4.0 1.1 0.8 1.4 3.3 2.0 0.1 0.3 1.8 1.8 0.1 8.6 4.1 2.9 5159 N. El Mirage Rd., Litchfield Park 33500 W. Indian School Rd., Tonopah 6204 W. Southern Ave., Laveen 2741 W. Palm Lane, Phoenix 0.0 0.0 0.4 0.4 1.7 0.1 0.0 0.0 0.0 0.3 14521 N. 115th Ave., El Mirage 18.4 7.7 5.2 4830 S. 43rd Ave., Phoenix 7.3 7.8 1.7 7845 W. Broadway Rd., Phoenix 820 W. Pima Rd., Gila Bend 3941 N. Higley Rd., Mesa 5.0 5.9 2.9 2.9 2.2 15.8 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-8 of 15 Facility ID Facility Name F001640 Upper Crust Bakery F001642 F001680 F001682 F001684 F001685 F001686 F001690 F001703 F001736 F001748 F001753 F001764 F001789 F001793 F001798 F001802 F001844 F001851 F001857 F001859 F001918 F001923 F001928 F001952 F001975 F001986 Address 3655 W. Washington St., Phoenix Patrician Marble Co 3333 W. Osborn Rd., Phoenix Transdev Services Inc 2225 W. Lower Buckeye Rd., Phoenix Mayo Clinic Arizona 13400 E. Shea Blvd., Scottsdale Fisher Sand and Gravel 3515 N. El Mirage Rd., Glendale Southwest Asphalt 7th Ave., Phoenix Fisher Sand and Gravel Co 4001 S. 15th Ave., Phoenix American Italian Pasta Co 495 S. 99th Ave., Tolleson Adesa Phoenix LLC 400 N. Beck Ave., Chandler Target Financial Services 8550 S. Priest Dr., Tempe Tempe Smart Practice 3400 E. McDowell Rd., Phoenix Pro Petroleum Phoenix 408 S. 43rd Ave., Phoenix Terminal Special Devices Inc 3431 N. Reseda Circle, Mesa Flipchip International 3701 E. University Dr., Phoenix Phoenix Precast Products 1856 E. Deer Valley Rd., Inc Phoenix Swim Platforms, Inc. 3220 S. 38th St., Phoenix Chemresearch Co Inc 1130 W. Hilton Ave., Phoenix Solvent Recy-Clean 1850 W. Broadway Rd., Phoenix Allen Cremation Center 1110 S. Horne, Mesa Horne LLC Rogers Corporation - Price 165 S. Price Rd., Chandler Road Facility Sun Land Materials 6950 W. Southern Ave., Laveen Legends Furniture 10300 W. Buckeye Rd., Tolleson Fuji Film Electronic 6550 S. Mountain Rd., Mesa Materials USA St. Joseph's Hospital and 350 W. Thomas Rd., Phoenix Medical Center Memorial Towers Limited 1405 S. 7th Ave., Phoenix Partnership Common Market 26700 S. Highway 85, Buckeye Equipment East Collaborative Research 13208 E. Shea Blvd., Scottsdale Bldg CO 0.4 NOX 1.7 VOC 9.6 0.2 0.3 1.0 0.2 2.5 33.5 3.6 12.4 3.6 12.3 24.1 0.4 2.5 0.3 0.1 18.7 1.3 3.0 0.4 0.4 7.2 0.1 0.2 1.2 0.0 0.0 0.0 0.5 6.4 0.4 0.3 0.1 0.0 0.3 0.7 8.9 11.4 0.1 1.4 0.0 0.0 1.7 0.0 0.6 5.6 6.3 0.6 0.0 0.0 0.1 0.1 0.4 1.8 0.1 46.5 1.5 1.8 5.3 4.8 5.7 0.7 0.1 0.2 0.0 14.7 1.0 1.2 0.1 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-9 of 15 Facility ID Facility Name F001993 Capitol Litho Corporation F001997 Prisma Graphic Corporation F002010 Cereus Graphics, Inc. F002026 Contractors Landfill and Recycling F002135 Wickenburg Funeral Homes Inc F002204 ADOT Sign Factory F002252 Wood Unlimited Inc (Air) F002256 Doubletree Paper Mill LLC F002276 Insulfoam F002281 Digital Realty Trust F002285 Arizona Landfill and Recycling F002323 Regency Mortuary Services Inc F002329 Qwest Corp Dba Century Link Qc F002371 All Pets Great And Small F002382 Mayo Clinic Hospital F002383 Phoenix Baptist Hospital F002384 Tecta America Arizona LLC F002418 Sam's Club #6605 F002421 Business Cards Tomorrow F002430 Level (3) Communications LLC Phx - 16th St F002454 L3Harris F002504 Solana Generating Station F002512 International Flora Technologies F002513 International Paper Company F002568 Cemex - 19th Ave Plant F002571 Cemex - 7th Street Plant F002572 CEMEX Construction Materials South LLC Address 2301 N. 16th St., Phoenix 2937 E. Broadway Rd., Phoenix CO NOX 0.1 0.2 VOC 0.8 2.9 2950 E. Broadway Rd., Phoenix 2425 N. Center St., Mesa 1.0 4.7 2.4 0.4 187 N. Adams St., Wickenburg 0.0 0.1 0.0 1.3 20.1 5.8 15.3 0.1 0.5 9.7 0.9 0.9 0.0 2.1 3.8 0.4 73.9 0.1 0.0 9850 W. Thunderbird Rd., Sun City 3640 E. Indian School Rd., Phoenix 5357 E. Main St., Mesa 5777 E. Mayo Blvd., Phoenix 2000 W. Bethany Home Rd., Phoenix 1900 N. Scottsdale Rd., Tempe 0.0 0.7 0.0 0.1 0.4 0.0 0.1 3.5 1.8 1.0 5.3 2.7 0.0 1.3 0.3 1225 N. Gilbert Rd., Gilbert 1130 W. Geneva Dr., Tempe 811 S. 16th St., Phoenix 0.0 0.0 0.1 0.3 8.8 1.0 0.0 1215 S. 52nd St., Tempe 57750 S. Painted Rock Dam Rd., Gila Bend 28633 W. Patterson Rd., Buckeye 660 S. 83rd Ave., Tolleson 0.0 0.6 0.0 1.1 11.9 51.6 0.1 0.1 1.9 2.6 1.0 1.7 3640 S. 19th Ave., Phoenix 23210 N. 7th St., Phoenix 24004 N. 107th Ave., Sun City 0.0 0.0 0.0 0.2 0.1 0.1 0.0 0.0 0.0 2104 S. 22nd Ave., Phoenix 9801 N. Litchfield Rd., Waddell 31201 W. Thayer Rd., Gila Bend 3401 W. Cocopah St., Phoenix 120 E. Van Buren St., Phoenix 2750 S. 11th Ave., Phoenix 0.1 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-10 of 15 Facility ID Facility Name F002594 Vulcan Materials Company F002596 Crown Press Inc F002597 Architectural Millwork Design Inc F002599 Heritage Crematory Address 3410 E. Virginia St., Mesa 2450 S. 24th St., Phoenix 330 W. Melinda Lane, Phoenix CO 20.1 NOX 5.7 VOC 5.1 0.1 2.0 12525 NW. Grand Ave., El Mirage 651 S. 91st Ave., Tolleson 14502 W. Meeker Blvd., Sun City West W. Table Mesa Rd., New River 0.0 0.5 0.0 3.9 0.7 14.9 1.4 7.8 0.1 6.1 5.1 2.2 F002601 JBS Tolleson Inc F002604 Banner Del Webb Medical Center F002609 Transwestern Pipeline Company, LLC F002628 Maax Spas Industries Corp 25605 S. Arizona Ave., Chandler F002632 Lifeplan Crematorium Inc 1216 N. 17th Ave., Phoenix F002655 Phoenix Data Center 615 N. 48th St., Phoenix F002660 Cemex - West Plant 11701 W. Indian School Rd., Avondale F002662 Quality Emulsions, LLC 308 S. Lebaron., Mesa F002663 Belmark 405 N. 75th Ave., Phoenix F002670 Mountain View Funeral 7900 E. Main St., Mesa Home And Cemetery F002680 Goodrich Corporation 3414 S. 5th St., Phoenix F002724 Custom Fab Inc 3065 S. 43rd Ave., Phoenix F002747 Circle K Terminal LLC 5333 W. Van Buren St., Phoenix F002752 Courtyard and Residence 2029 W. Whispering Wind Dr., Inn Phoenix Phoenix F002757 Fiserv 240 N. Roosevelt Ave., Chandler F002790 Choice Printing Inc. 3654 W. Osborn Rd., Phoenix F002793 The Hillman Group Inc 8990 S. Kyrene Rd., Tempe F002800 CSE Operating I LLC 29115 W. Broadway Rd., Buckeye F002864 Heliae Development LLC 614 E. Germann Rd., Gilbert F002865 LGS AZ LLC DBA Look 8230 N. El Mirage Rd., El Trailers Mirage F002882 Custom Landscape Aguila Rd., Aguila Materials - Big Horn F002883 Custom Landscape Vulture Mine Rd. and Materials - Belmont Wickenburg Rd., Wickenburg F002884 Custom Landscape Miller Rd., Buckeye Materials LLC 43.5 0.5 2.8 0.0 0.6 12.8 0.2 0.1 1.0 0.0 0.8 1.0 0.0 0.3 0.5 3.8 0.1 0.1 0.3 0.1 0.4 0.3 0.4 5.1 3.4 25.6 0.1 0.3 2.7 0.1 0.0 9.3 0.0 5.8 0.4 0.2 0.1 0.0 0.0 0.4 9.6 1.6 7.5 0.6 0.3 1.9 0.1 0.1 0.3 0.0 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-11 of 15 Facility ID Facility Name F002891 Allied Packaging Corporation F002910 Digital Realty Trust Chandler, LLC F002923 City Square - 3838 N Central Ave F002924 Arizona Department of Corrections Perryville F002939 APS 501/502 Service Center F002943 Cafe Valley Inc F002953 Solar and Renewables Management LLC F002957 Durango Complex F003012 Nexeo Solutions, LLC F003093 Imsamet Of Arizona F003112 Maricopa County Special Health Care District F003136 Master Block F003154 Team Print Media F003163 Donnelley Financial, LLC F003187 Rohrer Corporation F003220 American Contract Systems Inc F003245 CyrusOne LLC F003259 Bridgestone Americas Tire Operations F003260 Firebird Products, LLC F003293 4 Over International F003299 Asm Lithography F003328 Stryker Sustainability Solutions, Inc. F003337 Southwest Products Corporation F003340 Canam Steel Corporation F003342 Phoenix Packaging Operations, LLC F003372 Bimbo Bakeries USA, Inc Address 5640 S. 16th St., Phoenix CO 1.9 NOX 4.3 VOC 1.3 2121 S. Price Rd., Chandler 2.6 4.6 0.4 3838 N. Central Ave., Phoenix 0.3 0.5 0.0 2105 N. Citrus Rd., Goodyear 1.1 5.0 2.3 502 S. 2nd Ave., Phoenix 0.1 0.1 0.0 7000 W. Buckeye Rd., Phoenix 29505 W. Southern Ave., Buckeye 3225 W. Durango St., Phoenix 6839 W. Chicago St., Chandler 3829 S. Estrella Pkwy., Goodyear 2601 E. Roosevelt St., Phoenix 2.6 13.9 3.1 9.3 18.5 0.5 6.3 12.9 62.6 10.9 1.7 0.4 12.0 4.3 5.8 0.3 12620 W. Butler Dr., El Mirage 2002 N. 23rd Ave., Phoenix 1500 N. Central Ave., Phoenix 159 W. 1st Ave., Mesa 7300 W. Detroit St., Chandler 0.2 0.2 0.0 0.6 0.0 6.2 0.0 6.6 1.6 2335 S. Ellis St., Chandler 6533 S. Mountain Rd., Mesa 1.5 0.0 13.5 0.0 0.7 4.5 6010 N. 53rd Dr., Glendale 3055 S. 44th St., Phoenix 2650 W. Geronimo Pl., Chandler 10232 S. 51st St., Phoenix 0.0 0.1 4.5 4.6 0.0 0.0 0.1 0.0 11690 N. 132nd Ave., Surprise 0.1 0.1 9.5 22253 W. Southern Ave., Buckeye 464 E. Chilton Dr., Chandler 738 W. Van Buren St., Phoenix 11.3 8.7 1.5 1.8 10.2 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-12 of 15 Facility ID Facility Name F003392 Platypus Development LLC F003399 Hydro Extrusion North America, LLC F003401 Arrowhead Hospital F003409 Western Refining F003424 Turning Technologies, LLC F003426 Crown Custom Millwork F003427 Crothall Laundry Services F003440 Cubic Tech Corporation F003458 El Mirage Transmix Facility F003467 Trafficade Signs And Sales F003478 F003538 F003542 F003545 Duro Hilex Poly Bonded Materials Shutterfly, Inc. Calportland F003546 Calportland Company F003548 Entrusted Pets, Inc. F003555 Corporate Properties Tempe SPE, LLC F003606 Vulcan Asphalt LLC F003607 Vulcan Asphalt LLC F003647 Infineon Technologies Epi Services Inc F003654 Ninety-First Avenue Renewable Biogas LLC F003666 NXP Semiconductors F003675 Hollyfrontier Asphalt Company LLC F003678 LMK_PHX F003697 Barrel O' Fun Snack Food Southwest F003730 Pure Pack Technologies Division Address 3740 S. Signal Butte Rd., Mesa CO 0.6 NOX 2.5 VOC 0.1 249 S. 51st Ave., Phoenix 8.3 8.5 3.9 18701 N. 67th Ave., Glendale 3050 S. 19th Ave., Phoenix 14557 N. 82nd St., Scottsdale 1.9 1.0 3.2 1.8 0.1 0.5 0.4 2740 W. Deer Valley Rd., Phoenix 4445 S. 36th St., Phoenix 4511 E. Ivy St., Mesa 12126 W. Olive Ave., El Mirage 2544 W. McDowell Rd., Phoenix 4 S. 84th Ave., Tolleson 4330 N. 43rd Ave., Phoenix 7195 S. Shutterfly Way., Tempe 11500 W. Beardsley Rd., Sun City 31805 W. Southern Ave., Buckeye 2237 S. 15th St., Phoenix 300 E. Rio Salado Pkwy., Tempe 3640 S. 19th Ave., Phoenix 2835 W. Broadway Rd., Phoenix 550 W. Juanita Ave., Mesa 4.2 4.3 0.0 3.0 5.1 0.0 4.3 0.3 0.9 8.8 0.1 8.2 32.8 1.5 1.0 24.5 2.0 0.0 0.1 0.0 0.0 0.9 0.2 4.1 0.0 0.3 3.2 36.6 0.1 1.5 6.3 0.3 0.7 12.7 1.4 5615 S. 91st Ave., Tolleson 0.5 1.3 0.1 1300 N. Alma School Rd., Chandler 7110 W. Northern Ave., Glendale 4010 N. 3rd St., Phoenix 7330 W. Sherman St., Phoenix 11.1 17.6 17.2 7.4 8.9 5.4 0.3 26.4 4.6 28.0 0.1 2.8 5417 S. 37th St., Phoenix 0.1 0.2 6.2 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-13 of 15 Facility ID Facility Name F003780 City of Phoenix Goodyear Airport F003781 City of Phoenix - Deer Valley Airport F003805 East Valley Crematory, LLC F003808 Realty Sign Company F003809 Manheim Phoenix F003838 Esplanade Owner, Lp C/O Lba Realty F003847 La Fiesta Label And Packaging F003850 All Faith Mortuary Services F003854 AAH Ironwood Custom Finishing LLC F003855 American Airlines F003858 F003868 F003876 F003877 F003915 F003972 F003980 F003984 F003996 F004060 F004066 F004071 F004084 Address 1658 S. Litchfield Rd., Goodyear 702 W. Deer Valley Rd., Phoenix 33 N. Centennial Way., Mesa 2629 E. McDowell Rd., Phoenix 201 N. 83rd Ave., Tolleson 2525 E. Camelback Rd., Phoenix 6162 W. Detroit St., Chandler 2324 W. Holly St., Phoenix CO 0.1 NOX 0.3 VOC 0.1 0.0 0.0 0.1 0.0 0.4 0.0 0.2 0.1 0.4 0.3 7.7 2.2 0.0 0.3 0.0 0.7 1822 E. Madison St., Phoenix 4000 E. Sky Harbor Blvd., Phoenix Swissport Fueling Services, 3400 E. Sky Harbor Blvd., Inc. Phoenix Old Town Fiberglass, Inc. 18 N. 57th Dr., Phoenix Revolution Industrial 372 N. Roosevelt Ave., Chandler Vulture Mine 36610 N. 355th Ave., Wickenburg Forterra Pipe and Precast, 12600 W. Northern Ave., El LLC Mirage F and B Manufacturing 4245 N. 40th Ave., Phoenix LLC Dunn-Edwards 520 S. 67th Ave., Phoenix Corporation Ball Metal Beverage 4455 N. Cotton Lane, Container Corp Goodyear American Ad Bag 4935 W. Missouri Ave., Company, LLC Glendale Ergon Asphalt and 6940 W. Chandler Blvd., Emulsions, Inc.- Chandler Chandler AZ Cremation Center Of 1544 W. Grant St., Phoenix Arizona Galfab LLC 4020 S. 15th Ave., Phoenix Fiberglass Designs LLC 128 W. Maricopa Freeway, Phoenix 0.0 3.3 0.5 0.8 4.6 2.8 4.2 2.9 17.7 2.0 1.0 0.9 0.4 0.0 0.4 0.0 0.1 27.8 8.6 10.2 113.4 5.8 1.6 1.9 2.0 0.1 1.5 0.0 3.1 4.1 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-14 of 15 Facility ID Facility Name F004085 CAD Enterprises F004099 Moran Manufacturing LLC F004104 Cintas Corporation F004109 Lasting Paws F004130 Silent-Aire USA, Inc F004152 Deca Cremation Services, Inc. F004153 ICP Group F004182 Portable HMA Plant #2 F004183 Alliant Techsystems Operations F004205 Rysso Peters F004209 Aligned Energy Data Centers (Phoenix) LLC F004215 Asphalt Terminals LLC F004221 Granite Express Pioneer F004229 INAP (Internap Corporation) F006226 Paradise Valley Community College F006245 Dormakaba Usa Inc F006256 On Semiconductor Corporation F006274 Apache Equipment Corporation F006303 Koalaty Embroidery, Inc. F006312 Dolphin Inc F006315 6A-B1 (N) F006316 F006329 F006330 F006334 Exxon Goodfellow Corporation Cintas Corporation Valley Metro Light Rail Ops and Maint Center F006337 NATIONAL PUMP COMPANY F006345 MI AMIGO REDI-MIX, LLC Address 302 S. 52nd Ave., Phoenix 6902 W. Hadley St., Phoenix CO NOX 0.0 0.0 VOC 0.2 3.8 4804 W. Roosevelt St., Phoenix 3131 W. Clarendon Ave., Phoenix 280 E. Germann Rd., Gilbert 2139 S. 15th St., Phoenix 0.1 0.3 0.1 4.9 0.0 0.1 0.2 0.0 0.2 0.6 9.8 0.0 7.5 0.0 4.8 6.1 2.1 4565 W. Watkins St., Phoenix 3190 S. Gilbert Rd., Chandler 3309 N. Reseda Cir., Mesa 2525 W. Coronado Rd., Phoenix 2500 W. Union Hills Dr., Phoenix 1935 W. McDowell Rd., Phoenix Section 19 7N 2W, Morristown 2500 W. Frye Rd., Chandler 18401 N. 32nd St., Phoenix 1120 N. 47th Ave., Phoenix 5005 E. McDowell Rd., Phoenix 16.5 0.3 5.0 0.4 1.4 0.0 5.4 3.3 1.5 0.6 0.1 3.0 0.3 0.2 0.0 0.1 0.2 0.0 2.6 0.9 0.3 2.2 5757 W. Jefferson St., Phoenix 0.1 1501 E. Jackson St., Phoenix 440 N. 51st Ave., Phoenix 24201 N. Cave Creek Rd., Phoenix 10120 W. Bell Rd., Sun City 12639 W. Butler Dr., El Mirage 5501 W. Hadley St., Phoenix 605 S. 48th St., Phoenix 1.0 0.5 0.2 0.4 0.0 0.2 0.5 0.2 0.3 1.6 0.0 1.5 0.8 0.0 0.4 0.1 7706 N. 71st Ave., Glendale 2055 N. 28th Ave., Phoenix 0.2 0.7 3.2 0.3 2020 Periodic Emissions Inventory for Ozone Precursors Appendix D. Emissions from Facilities Treated as Nonpoint Sources in the 2020 Periodic Emissions Inventory Page D-15 of 15 Facility ID Facility Name F006346 ACKER-STONE INDUSTRIES (ARIZONA), INC. F006355 Northrop Grumman F006378 Phoenix Crematory F006380 Sunland Asphalt and Construction, Inc. F006394 Cactus Transport, Inc. F006433 Handley Precast Systems, Inc. F006450 Barnes Aerospace Inc F006456 Revspring Inc. F006473 Sculpture Arts Atelier F006474 TAE Aerospace F006475 Copper State Bolt and Nut Company F006476 Scenic Industries LLC F006487 Trimaco F006491 O'Neil Printing, Inc. F006508 Gordongraphics, Inc. F006679 Portable HMA Plant #3 F006697 CalPortland 161R New River Plant F038230 Mark Anthony Brewing Address 31906 W. Camelback Rd., Buckeye CO 0.0 NOX 0.0 VOC 0.0 1575 S. Price Rd., Chandler 2620 W. Roosevelt St., Phoenix 775 W. Elwood St., Phoenix 0.1 0.1 0.0 0.6 2.2 0.0 1.3 0.0 3.5 8211 W. Sherman St., Tolleson 440 E. Pinnacle Peak Rd., Phoenix 3201 E. Broadway Rd., Phoenix 23751 N. 23rd Ave., Phoenix 227 S. Rockford Dr., Tempe 7879 E. Beck Ln., Scottsdale 3637 N. 34th Ave., Phoenix 0.0 0.3 0.1 1.2 2.3 0.1 0.0 0.0 0.2 0.1 4224 W. Clarendon Ave., Phoenix 13600 W. Sweetwater Ave., Surprise 4303 E. Cotton Center Blvd., Phoenix 1507 W. Parkside Lane, Phoenix Tuthill Rd. and 203rd Ave., Buckeye 39333 N. New River Rd., Peoria 9601 N. Reems Rd., Waddell 0.4 7.6 0.0 1.0 2.6 0.2 2.8 1.2 0.0 0.2 0.1 0.1 8.7 2.9 0.5 0.8 1.0 1.7 2020 Periodic Emissions Inventory for Ozone Precursors Appendix E. Responsiveness Summary Page E-1 of 1 Appendix E. Responsiveness Summary The 2020 Periodic Emissions Inventory for Ozone Precursors was made available for public review from September 29, 2022 through October 31, 2022. A Notice of Availability was published in the Arizona Business Gazette on September 29, 2022 and October 6, 2022. The Notice of Availability was also posted on AZCentral.com from September 29, 2022 through October 6, 2022. No comments were received during the public comment period and there were no requests for a public hearing. Figure E–1: Affidavit of Publication in the Arizona Business Gazette.