# CONSOLIDATION OF EMISSIONS INVENTORIES (SCHEDULE 9; WORK ITEM 3)

FINAL

Prepared by E.H. Pechan & Associates, Inc. 3622 Lyckan Parkway, Suite 2002 Durham, NC 27707

and

Carolina Environmental Program CB# 1105, 100 Miller Hall, UNC-Chapel Hill Chapel Hill, NC 27599-1105

April 28, 2005

for the Central Regional Air Planning Association (CENRAP) 10005 S. Pennsylvania, Suite C

Oklahoma City, OK 73159

Pechan Report No. 05.03.002/9500.003

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### iii 

## CONTENTS

TABLES ......................................................................................................................... ............... iv FIGURES........................................................................................................................ ................ v ACRONYMS AND ABBREVIATIONS...................................................................................... vi I. INTRODUCTION ................................................................................................................ .. 1 A. Overview.................................................................................................................... ......... 1 B. Summary of the 2002 Base Year Inventories ..................................................................... 2 C. Organization of the Report.................................................................................................. 2 II. CRITERIA AIR POLLUTANT AND NH 3 

### INVENTORIES FOR THE CENRAP REGION ......................................................................................................................... ................ 7 A. Introduction................................................................................................................ ......... 7 B. Point Source Inventory Methods ........................................................................................ 8 1. Data Sources ................................................................................................................ ... 8 2. QA Review................................................................................................................... . 11 3. Responses from S/L/T Agencies................................................................................... 14 4. Gap Filling and Augmentation...................................................................................... 15 5. Revisions to Address Comments .................................................................................. 23 6. QA Review of Final Inventory ..................................................................................... 24 C. Area Source Inventory Methods ....................................................................................... 26 1. Data Sources ................................................................................................................ . 26 2 QA Review.................................................................................................................... 29 3. Responses from State, Local, and Tribal (S/L/T) Agencies ......................................... 33 4. Gap Filling and Augmentation...................................................................................... 35 5. Revisions to Address Comments .................................................................................. 45 6. QA Review of Final Inventory ..................................................................................... 48 D. Nonroad Source Inventory Methods................................................................................. 49 1. Data Sources ................................................................................................................ . 50 2. QA Review................................................................................................................... . 52 3. Responses from S/L/T Agencies................................................................................... 52 4. Gap Filling and Augmentation...................................................................................... 52 5. Revisions to Address Comments .................................................................................. 54 6. QA Review of Final Inventory ..................................................................................... 54 E. 2002 CEM Data Methods and Results.............................................................................. 55 1. Introduction................................................................................................................ ... 55 2. Data Sources ................................................................................................................ . 55 3. QA Review................................................................................................................... . 56 4. Supplemental Data/Augmentation Procedures ............................................................. 57 5. QA Review of Final Data Set ....................................................................................... 58 6. Temporal Profile Analysis ............................................................................................ 59 F. Temporal, Speciation, and Spatial Allocation Profiles..................................................... 61 1. Temporal Profiles for Point, Area, and Nonroad Sources ............................................ 61 2. Speciation Profiles for Point, Area, and Nonroad Sources........................................... 68 3. Spatial Allocation Profiles for Area and Nonroad Sources .......................................... 69 4. QA Review of Final Data Sets...................................................................................... 71 G. Preparation of SMOKE/IDA and RPO Data Exchange Protocol (NIF 3.0) Formats....... 73 III. SUMMARIES OF EMISSIONS INVENT ORIES FOR THE CENRAP REGION......... 79 IV. METHODS FOR AREAS OUTSIDE OF THE CENRAP REGION .............................. 81

### iv A. Data Sources ................................................................................................................ ..... 81 B. Supplemental Data/Augmentation Procedures ................................................................. 83 V. REFERENCES .................................................................................................................. ... 89 APPENDIX A. SUMMARIES OF ANNUAL EMISSIONS BY SOURCE CATEGORY, SECTOR, AND POLLUTANT..................................................................................................A-1

TABLES

Table 1. Summary of Annual Emissions for th e CENRAP Region by Sector and Pollutant........ 4 Table 2a. Summary of All Sector S ource Emissions by State and Pollutant................................. 4 Table 2b. Summary of Area Source Emissions by State and Pollutant......................................... 5 Table 2c. Summary of Point Source Emissions by State and Pollutant......................................... 5 Table 2d. Summary of Nonroad Sour ce Emissions by State and Pollutant................................... 6 Table 2e. Summary of Onroad Sour ce Emissions by State and Pollutant..................................... 6 Table 3. Summary of 2002 Inventories th at S/L/T Agencies Submitted to EPA .......................... 7 Table 4. Summary of Pollutants, Number of Coun ties, and Number of Faci lities in Point Source Inventories.................................................................................................................... ................... 9 Table 5. Description of the Field Names and Descriptions for the SCC Ratio Table ................ 17 Table 6. Description of the Field Names and Descriptions for the Resulting PM Augmentation Table............................................................................................................. ......... 21 Table 7. Summary of Pollutants and Numb er of Counties Included in Area Source Inventories.................................................................................................................... ................. 27 Table 8. QA Summary Reports for S/L/T Area Source Inventories............................................ 33 Table 9. Summary of Spreadsheets Provi ded in QA Summary Reports for Area Source Inventories.................................................................................................................... ................. 34 Table 10. Summary of CENRAP-Sponsored Inventories Included in the Area Source Consolidated Emissions Inventory ............................................................................................... 35 Table 11. Area Source Industrial, Commerci al/Institutional, and Residential Fossil Fuel Combustion Uncontrolled Emission Factor s for PM10-PRI/FIL, PM25-PRI/FIL, and PM-CON ..................................................................................................................... ........... 38 Table 12. SCCs for which PM25-PRI Emission s were Estimated by Applying a Ratio to the PM10-PRI Emissions in th e S/L/T inventory ............................................................................... 43 Table 13. Summary of Pollutants and Numb er of Counties Included in Nonroad Source Inventories.................................................................................................................... ................. 51 Table 14. Summary of Data Sources Used to Prepare the Consolidated Nonroad Inventory for Aircraft, Commercial Marine Vessels, and Railroad Locomotives.............................................. 53 Table 15. CEM Crosswalk Files and Documentation.................................................................. 56 Table 16. CEM Units for which Matches to Em ission Units could not be Identified in State Inventories.................................................................................................................... ................. 58 Table 17. Number of Units In Each State Where Temporal Profiles Were Generated ............... 60 Table 18. New Temporal Profile Assignm ents for CENRAP Point Source SCCs...................... 66 Table 19. New Temporal Profile Assignm ents for CENRAP Area Source SCCs ...................... 67 Table 20. VOC Speciation Profiles Assigned to Area Source SCCs........................................... 69 Table 21. VOC Speciation Profiles A ssigned to Point Source SCCs........................................... 69 Table 22. Surrogate profiles assigne d to SCCs to support CENRAP EI..................................... 70 Table 23. Spatial, Temporal and Sp eciation Allocation Data and Memos.................................. 71 Table 24. Ancillary Data Descriptions......................................................................................... 72

### v Table 25. Summary of Mass Emi ssions and SMOKE Input Files............................................... 74 Table 26. Profiles, Cross-Reference Tables, and Other Ancillary Data Provided to CENRAP that can be used with Emissions Preproce ssors/Models (e.g. SMOKE, CONCEPT) ......................... 77 Table 27. Emissions Summaries................................................................................................. . 79 Table 28. Description of Inventory Data Provided to CENRAP................................................. 84 Table 29. Listing of Supplemental Data Files ............................................................................. 85 Table A-1. Summary of Annual VOC Emissions for the CENRAP Region by Category, Sector, and Pollutant .................................................................................................................. ............. A-2 Table A-2. Summary of Annual NOx Emissions for the CENRAP Region by Category, Sector, and Pollutant .................................................................................................................. ............. A-5 Table A-3. Summary of Annual CO Emissions for the CENRAP Region by Category, Sector, and Pollutant .................................................................................................................. ............. A-8 Table A-4. Summary of Annual SO2 Emissions for the CENRAP Region by Category, Sector, and Pollutant .................................................................................................................. ........... A-11 Table A-5. Summary of Annual PM10-PRI and PM25-PRI Emissions for the CENRAP Region by Category, Sector, and Pollutant ........................................................................................... A- 14 Table A-6. Summary of Annual NH3 Emissions for the CENRAP Region by Category, Sector, and Pollutant .................................................................................................................. ........... A-19

FIGURES

Figure 1. Arkansas CEM unit monthly profiles based on year 2000-2003 data........................... 62 Figure 2. Nebraska CEM unit monthly profiles based on year 2000-2003 data.......................... 62 Figure 3. Arkansas weekly profiles for (a) wint er, (b) spring, (c) summer and (d) autumn using the 2000-2003 data............................................................................................................. ........... 63 Figure 4. Big Brown Unit 1, Texas hourly profiles for winter for 2000-2003 data..................... 64 Figure 5. Dolet Hills Unit 1, Louisiana hourly profiles for autumn for 2000-2003 data............. 64 Figure 6. The CENRAP 36-kilometer modeling domain ............................................................ 81

### vi ACRONYMS AND ABBREVIATIONS

BRAVO Big Bend Regional Aerosol and Visibility Observational CAFO Concentrated Animal Feeding Operations CAP criteria air pollutant CE Control Equipment (NIF 3.0 table) CEM Continuous Emissions Monitoring CENRAP Central Regional Air Planning Association CERR Consolidated Emissions Reporting Rule CMU Carnegie Mellon University CO carbon monoxide CO 2 

### carbon dioxide CH 4 

### methane CMV commercial marine vessel CVS Concurrent Versions System EC elemental carbon EFIG Emission Factor and Inventory Group EI Emission Inventory EM Emission (NIF 3.0 table) EP Emission Process (NIF 3.0 table) EPA U.S. Environmental Protection Agency EPS Emissions Preprocessor System ER Emission Release Point (NIF 3.0 table) ERG Eastern Research Group ERP Emission Release Point (NIF 3.0 field in ER table) EU Emission Unit (NIF 3.0 table) FIPS Federal Information Processing Standard FIRE Factor Information and REtrieval GIS geographic information system GWEI Gulfwide Emissions Inventory HAP hazardous air pollutant ID identification IDA Inventory Data Analyzer format LPG liquefied petroleum gas MACT maximum achievab le control technology MANE-VU Mid-Atlantic/Northeast Visibility Union MMS Minerals Management Services NAAQS National Ambient Air Quality Standard NAICS North American Industrial Classification System NEI National Emissions Inventory NH 3 

### ammonia NIF 3.0 NEI Input Format Version 3.0 NO x 

### oxides of nitrogen OC organic carbon ORIS Office of Regulatory Information Systems PD primary device PE Emission Period (NIF 3.0 table) Pechan E.H. Pechan & Associates, Inc.

### vii PM total particulate matter PM 10 

### particulate matter with an aerodynamic diameter less than or equal to a nominal 10 micrometers PM10-FIL filterable PM 10 

### PM10-PRI primary PM 10 

### PM 2.5 

### particulate matter with an aerodynamic diameter less than or equal to a nominal 2.5 micrometers PM25-FIL filterable PM 2.5 

### PM25-PRI primary PM 2.5 

### PM-CON condensible PM QA quality assurance QAPP Quality Assurance Project Plan RPO Regional Planning Organization SCC Source Classification Code SD secondary device SI Site (NIF 3.0 table) SIC Standard Industrial Classification SIP State Implementation Plan S/L/T State, Local, and Tribal SMOKE Sparse Matrix Operator Kernel Emissions SO 2 

### sulfur dioxide TCEQ Texas Commission on Environmental Quality TR Transmittal (NIF 3.0 table) UCAR University of California, Riverside UNC-CEP University of North Carolina, Ch apel Hill – Carolina Environmental Program U.S. United States VISTAS Visibility Improvement State a nd Tribal Association of the Southeast VOC volatile organic compound WRAP Western Regional Air Partnership

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### 1 I. INTRODUCTION

A. Overview

This report documents the data sources, methods , and results for preparing the 2002 base year criteria air pollutant (CAP) and ammonia (NH 3 

### ) emissions inventorie s for point, area, and nonroad sources for the Central Regional Ai r Planning Association (CENRAP) Regional Planning Organization (RPO). The CENRAP region includes the states and tribal jurisdictions of Arkansas, Iowa, Kansas, Louisiana, Minnesota , Missouri, Nebraska, Oklahoma, and Texas. CENRAP (and other RPOs) will use these invent ories to support air quality modeling, State Implementation Plan (SIP) development, and implementation activities for the regional haze rule and fine PM and ozone National Ambien t Air Quality Standards (NAAQS).

The inventories and supporting data prepared include the following:

(1) Comprehensive, county-level, mass emissi ons and modeling inventories for point, area, and nonroad sources of 2002 emissions for the CAPs and NH 3 

### for the State, Local, and Tribal (S/L/T) agencies included in the CENRAP region; (2) The temporal, speciation, and spatial allocation profiles for the CENRAP region inventories; and (3) Inventories for other RPOs, Canada, and Mexico.

The mass emissions inventory files were prepar ed in the National Emissions Inventory (NEI) Input Format Version 3.0 (NIF 3.0). The modeli ng inventory files were prepared in the Sparse Matrix Operator Kernel Emissions/Inventory Da ta Analyzer (SMOKE/IDA) format. Ancillary files (holding spatial, temporal, and specia tion profile data) were prepared in SMOKE/IDA compatible format.

The inventories include annual em issions for sulfur dioxide (SO 2 

### ), oxides of nitrogen (NO x 

### ), volatile organic compounds (VOC), carbon monoxide (CO), NH 3 

### , and particles with an aerodynamic diameter less than or equal to a no minal 10 and 2.5 micrometers (i.e., primary PM 10 

### and PM 2.5 

### ). The inventories included summer day, winter day, and average day emissions. However, not all agencies included daily emissions in their inventories, and, for the agencies that did, the temporal basis for the daily emissions varied between agencies. Consequently, the inventories did not contain a complete and cons istent set of daily emissions for all source categories and pollutants. Therefore, daily emissions prepared by S/L/T agencies were maintained in the NIF files if they met quality assurance (QA) review requirements. However, CENRAP requested that the daily emissions not be included in the SMOKE input files. The temporal profiles prepared for this project will be used to calculate daily emissions. If needed, the daily emissions prepared by the agencies may be retrieved from the NIF database files.

The consolidated inventories were prepared using the inventories that S/L/T agencies submitted to the United States (U.S.) Environmental Pr otection Agency (EPA) from May through July of 2004 as a requirement of the Consolidated Emissions Reporting Rule (CERR). The EPA’s format and content QA programs (and other QA checks not included in EPA’s QA software) were run on each inventory to identify format and/or data content issues (EPA, 2004a).

### 2 E.H. Pechan & Associates, Inc. (Pechan) and th e University of North Carolina, Chapel Hill – Carolina Environmental Program (UNC-CEP) work ed with the CENRAP’s Emission Inventory (EI) Workgroup and the S/L/T agencies to resolve QA issues and augment the inventories to fill data gaps in accordance with the Methods Plan and Quality Assurance Project Plan (QAPP) prepared for this project (CENRAP, 2004a; CENRAP, 2004b). The EI Workgroup and S/L/T agencies reviewed the draft inventory and anci llary files from December 2004 through February 2005. The inventories and SMOKE i nput files were revised to incorporate the review comments.

B. Summary of the 2002 Base Year Inventories

This section of the report provides a brief su mmary of the consolidated 2002 base year inventories for the CENRAP region. Table 1 shows total annual emissions for CAPs and NH 3 

### for point, area, nonroad, and onroad sources. Th e sector contributing the highest emissions varies by pollutant. Point sources account for the highest percentage of total NO x 

### (36%) and SO 2 

### (87%) emissions. Area sources account for the hi ghest percentage of total VOC (50%), primary PM 10 

### (PM10-PRI (93%)), primary PM 2.5 

### (PM25-PRI (81%)), and NH 3 

### (86%) emissions. Onroad sources account for the highest percentage of CO (53%) emissions. Onroad and nonroad sources each account for 18% of total VOC emissions. Onroad sources account for 29% and nonroad sources account for 19% of total NO x 

### emissions.

Table 2a shows total annual emissions by state/trib e and pollutant for all four sectors combined. Tables 2b through 2e show total annual emission s by state/tribe and pollutant for area, point, nonroad, and onroad sources, respectively. Ta bles A-1 through A-6 in Appendix A provide summaries of annual emissions by so urce category and sector for VOC, NO x 

### , CO, SO 2 

### , PM10- PRI and PM25-PRI, and NH 3 

### , respectively. The emissions in each table are sorted in descending order with the highest emitting categories listed at the top of the table. The tables also show annual emissions as a percentage of total em issions from all sectors, and the cumulative percentage contribution. Chapter III of this report identifies additional summaries of emissions, including county-level summaries th at contain the data source code s that identify the origin and year of emissions data.

In addition to the CAPs and NH 3 

### , emissions for carbon dioxide (CO 2 

### ), methane (CH 4 

### ), elemental carbon (EC), organic carbon (OC), total primary and filterable particulate matter (PM-PRI/-FIL), filterable PM-10 (PM10-FIL), and filterable PM 2.5 

### (PM25-FIL) were carried in the mass emissions inventory files. However, these pollu tants are not included in the summaries since the emissions for these pollutants were not consistently reported by all S/L/T agencies for a given sector. In addition, AR included wind-blown fugitiv e dust emissions in its area source inventory, and some but not all S/L/T agencies included NH 3 

### emissions associated with natural sources (e.g., domestic and wild animals) in their area sour ce inventories. These emissions were kept in the area miscellaneous sources inventory, and ar e included in the sector-level summaries (as geogenic and natural/biogenic s ources) described in Chapte r III of this report.

C. Organization of the Report

In Chapter II of this report, section A provide s an introduction to the chapter and sections B through D present the data sources and methods a pplied to prepare the mass emissions inventory and SMOKE input files for point, area, and nonr oad sources within the CENRAP region.

### 3 Section E explains the data sources and met hods applied to prepare 2002 Continuous Emissions Monitoring (CEM) data for the entire CENRAP modeling domain in the SMOKE and the RPO data exchange protocol formats. Section F expl ains the data sources and methods for developing temporal, speciation, and spatial allocation profiles for the point, area, and nonroad source categories included in the CENR AP region inventories. Sec tion G provides documentation of the SMOKE and RPO data exchange protocol files prepared under this project.

Chapter III and Appendix A provide summaries of the 2002 emissions inventories for point, area, nonroad, and onroad sources within the CENRAP region. Chapte r IV identifies the inventory and supporting data files compiled for areas out side of the CENRAP region, and Chapter V provides the references for this report.4Table 1. Summary of Annual Emissions forthe CENRAP Region by Sector and PollutantVOC NOxCO SO2PM10-PRI PM25-PRI NH3SectorTons/YearPercentof Total Tons/YearPercent ofTotal Tons/YearPercent ofTotal Tons/YearPercentof Total Tons/YearPercent ofTotal Tons/YearPercent ofTotal Tons/YearPercent ofTotalPoint 618,130 14 1,835,970 36 1,891,315 8 2,198,712 87 396,154 5 248,416 13 197,771 12Area 2,167,263 50 850,491 16 3,778,511 17 218,259 9 6,923,304 93 1,486,600 81 1,468,741 86Nonroad 806,173 18 982,061 19 4,933,745 22 65,812 3 90,721 1 83,964 5 1,335 0Onroad 792,310 18 1,483,668 29 11,834,984 53 44,678 2 33,066 0 23,529 1 47,869 3Totals 4,383,876 100 5,152,190 100 22,438,555 100 2,527,461 100 7,443,244 100 1,842,509 100 1,715,717 100DominantSector1Area Point Onroad Point Area Area Area1Identifies the sector accounting for the majority of the emissions for each pollutant.Table 2a. Summary of All Sector Source Emissions by State and PollutantVOC NOxCO SO2PM10-PRI PM25-PRI NH3State FIPS/Tribal CodeState/Tribal NameTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof Total05 Arkansas 342,534 7.8 285,782 5.6 1,630,938 7.3 127,291 5.0 328,922 4.4 134,913 7.3 138,272 8.119 Iowa 283,064 6.5 325,187 6.3 1,579,578 7.0 166,914 6.6 517,816 7.0 122,174 6.6 253,441 14.820 Kansas 264,217 6.0 376,362 7.3 2,191,899 9.8 161,064 6.4 783,946 10.5 227,427 12.3 183,539 10.722 Louisiana 387,577 8.8 680,322 13.2 2,263,916 10.1 388,280 15.4 332,720 4.5 157,447 8.6 88,930 5.227 Minnesota 540,978 12.3 463,302 9.0 2,800,101 12.5 153,978 6.1 833,308 11.2 202,666 11.0 183,354 10.729 Missouri 381,944 8.7 476,260 9.2 2,614,860 11.7 419,985 16.6 1,000,506 13.4 207,942 11.3 157,100 9.231 Nebraska 145,701 3.3 250,823 4.9 905,317 4.0 90,954 3.6 469,741 6.3 96,356 5.2 169,847 9.940 Oklahoma 386,157 8.8 445,487 8.7 2,118,993 9.4 167,292 6.6 740,852 10.0 174,007 9.4 133,245 7.848 Texas 1,651,699 37.7 1,848,165 35.9 6,332,252 28.2 851,703 33.7 2,423,179 32.6 517,686 28.1 407,989 23.8405 Fond du Lac Tribe 3 0.0 501 0.0 700 0.0 0 0.0 12,254 0.2 1,892 0.1 0 0.0Totals 4,383,876 100 5,152,190 100 22,438,555 100 2,527,461 100 7,443,244 100 1,842,509 100 1,715,717 1005Table 2b. Summary of Area SourceEmissions by State and PollutantVOC NOxCO SO2PM10-PRI PM25-PRI NH3State FIPS/Tribal Code State/Tribal NameTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof Total05 Arkansas 92,676 4.3 27,552 3.2 379,881 10.1 27,236 12.5 273,217 4.0 91,735 6.2 130,773 8.919 Iowa 111,851 5.2 6,920 0.8 102,183 2.7 3,290 1.5 477,093 6.9 97,987 6.6 247,156 16.820 Kansas 143,905 6.6 43,114 5.1 875,433 23.2 14,084 6.5 728,377 10.5 194,959 13.1 116,884 8.022 Louisiana 124,311 5.7 99,060 11.7 530,135 14.0 83,253 38.1 245,162 3.5 84,068 5.7 75,382 5.127 Minnesota 176,118 8.1 56,740 6.7 146,623 3.9 14,783 6.8 749,605 10.8 146,883 9.9 148,588 10.129 Missouri 133,818 6.2 34,749 4.1 269,007 7.1 48,317 22.1 962,807 13.9 182,266 12.3 120,341 8.231 Nebraska 69,986 3.2 15,023 1.8 81,169 2.2 7,748 3.6 447,703 6.5 83,852 5.6 137,406 9.440 Oklahoma 212,669 9.8 115,788 13.6 465,631 12.3 11,779 5.4 714,805 10.3 157,444 10.6 104,587 7.148 Texas 1,101,929 50.8 451,545 53.1 927,878 24.6 7,769 3.6 2,312,288 33.4 445,522 30.0 387,626 26.4405 Fond du Lac Tribe 0 0.0 0 0.0 571 0.02 0 0.0 12,246 0.18 1,883 0.13 0 0.0Totals 2,167,263 100 850,491 100 3,778,511 100 218,259 100 6,923,304 100 1,486,600 100 1,468,741 100Table 2c. Summary of Point SourceEmissions by State and PollutantVOC NOxCO SO2PM10-PRI PM25-PRI NH3State FIPS/Tribal CodeState/Tribal NameTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof Total05 Arkansas 158,982 25.7 75,925 4.1 360,537 19.1 93,210 4.2 46,882 11.8 35,484 14.3 5,166 2.619 Iowa 39,156 6.3 122,124 6.7 51,236 2.7 156,706 7.1 28,788 7.3 13,650 5.5 3,366 1.720 Kansas 27,458 4.4 165,284 9.0 83,307 4.4 140,371 6.4 47,081 11.9 25,073 10.1 63,914 32.322 Louisiana 89,025 14.4 312,634 17.0 285,395 15.1 286,050 13.0 73,333 18.5 60,899 24.5 9,237 4.727 Minnesota 70,415 11.4 159,324 8.7 361,952 19.1 132,773 6.0 64,645 16.3 38,954 15.7 29,726 15.029 Missouri 36,109 5.8 181,675 9.9 136,914 7.2 361,548 16.4 20,949 5.3 11,079 4.5 31,120 15.731 Nebraska 7,274 1.2 58,619 3.2 11,008 0.6 73,487 3.3 13,105 3.3 4,638 1.9 30,731 15.540 Oklahoma 36,987 6.0 158,972 8.7 78,430 4.2 148,852 6.8 18,009 4.6 9,776 3.9 24,256 12.348 Texas 152,720 24.7 600,912 32.7 522,407 27.6 805,714 36.6 83,354 21.0 48,855 19.7 255 0.1405 Fond du Lac Tribe 3 0.00 501 0.03 129 0.01 0 0.00 8 0.00 8 0.00 0 0Totals 618,130 100 1,835,970 100 1,891,315 100 2,198,712 100 396,154 100 248,416 100 197,771 1006Table 2d. Summary of Nonroad Source Emissions by State and PollutantVOC NOxCO SO2PM10-PRI PM25-PRI NH3State FIPS/Tribal Code State/Tribal NameTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof Total05 Arkansas 51,339 6.4 64,336 6.6 285,282 5.8 3,299 5.0 5,850 6.5 5,382 6.4 49 3.719 Iowa 61,562 7.6 97,835 10.0 421,453 8.5 3,921 6.0 10,056 11.1 9,225 11.0 57 4.320 Kansas 28,009 3.5 85,234 8.7 273,433 5.5 3,913 6.0 6,770 7.5 6,196 7.4 115 8.622 Louisiana 109,598 13.6 117,250 11.9 549,031 11.1 14,324 21.8 10,663 11.8 9,791 11.7 563 42.227 Minnesota 213,527 26.5 108,293 11.0 963,290 19.5 3,834 5.8 15,946 17.6 14,657 17.5 87 6.529 Missouri 130,522 16.2 102,312 10.4 781,749 15.8 5,214 7.9 13,162 14.5 12,076 14.4 74 5.531 Nebraska 27,540 3.4 121,496 12.4 213,112 4.3 7,900 12.0 7,721 8.5 6,997 8.3 59 4.440 Oklahoma 49,763 6.2 51,410 5.2 331,901 6.7 2,407 3.7 5,405 6.0 4,946 5.9 280 21.048 Texas 134,314 16.7 233,896 23.8 1,114,495 22.6 20,999 31.9 15,149 16.7 14,695 17.5 52 3.9405 Fond du Lac Tribe 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0 0Totals 806,173 100 982,061 100 4,933,745 100 65,812 100 90,721 100 83,964 100 1,335 100Table 2e. Summary of Onroad Source Emissions by State and PollutantVOC NOxCO SO2PM10-PRI PM25-PRI NH3State FIPS/Tribal Code State/Tribal NameTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof TotalTons/YearPercentof Total05 Arkansas 39,537 5.0 117,969 8.0 605,238 5.1 3,545 7.9 2,973 9.0 2,311 9.8 2,284 4.819 Iowa 70,494 8.9 98,308 6.6 1,004,707 8.5 2,997 6.7 1,879 5.7 1,312 5.6 2,863 6.020 Kansas 64,846 8.2 82,730 5.6 959,725 8.1 2,695 6.0 1,718 5.2 1,200 5.1 2,626 5.522 Louisiana 64,643 8.2 151,378 10.2 899,355 7.6 4,653 10.4 3,563 10.8 2,689 11.4 3,748 7.827 Minnesota 80,918 10.2 138,946 9.4 1,328,236 11.2 2,588 5.8 3,111 9.4 2,172 9.2 4,953 10.429 Missouri 81,495 10.3 157,523 10.6 1,427,190 12.1 4,907 11.0 3,589 10.9 2,521 10.7 5,565 11.631 Nebraska 40,902 5.2 55,685 3.8 600,028 5.1 1,818 4.1 1,212 3.7 869 3.7 1,651 3.540 Oklahoma 86,738 11.0 119,317 8.0 1,243,031 10.5 4,253 9.5 2,633 8.0 1,840 7.8 4,122 8.648 Texas 262,737 33.2 561,811 37.9 3,767,472 31.8 17,222 38.6 12,388 37.5 8,615 36.6 20,057 41.9405 Fond du Lac Tribe 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 0 0Totals 792,310 100 1,483,668 100 11,834,984 100 44,678 100 33,066 100 23,529 100 47,869 100

### 7 II. CRITERIA AIR POLLUTANT AND NH 3 

### INVENTORIES FOR THE CENRAP REGION

A. Introduction

The inventory data were taken from the following sources in priority order:

a. The inventories that S/L/T agencies s ubmitted to EPA from May through July 2004; b. Supplemental data supplied by the S/L/T agencies (e.g., data that have been finalized or revised after an agency submitted its inventory to EPA); c. Inventories developed by CENRAP; and d. The 2002 preliminary NEI.

Table 3 provides a summary of the S/L/T point, area, and nonroad source inventories that the S/L/T agencies submitted to EPA. The EPA performed some limited QA review of the S/L/T inventories to identify format, referential integr ity, and duplicate record i ssues. The EPA revised the inventories to address these issues and made the files available to the S/L/T agencies on August 6, 2004. These inventory files were used as the starting point for the CENRAP inventory. Pechan then performed QA review of the inventories to identify (1) remaining QA issues that needed to be re solved through consultation with the EI Workgroup, and (2) missing data that needed to be adde d to the inventories to support air quality modeling studies.

Table 3. Summary of 2002 Inventories that S/L/T Agencies Submitted to EPA 1

State/Local/Tribal Agency Point Area Commercial Marine Vessels Railroad Locomotives Aircraft
AR x x x x x

IA x x 3

KS x 2 x 3 x 3

LA x x 3 x 3

MN x 2 x x x 4

Fond du Lac Band of the Minnesota Chippewa Tribe x x

MO x 2 x 3 x 3

NE-State x x

NE-Lincoln (Lancaster County) x x

NE-Omaha (Douglas County) x

OK x x

TX x x x x x

1 An “x” identifies the sector for which a S/L/T agency submitted a CAP inventory to EPA.

2 State submitted separate inventories for the criteria air pollutants and NH 3
. 3 State submitted only an NH 3 inventory.

4 State included its inventory for commercial and military aircraft and auxiliary power units in its point source inventory.



### After resolving the QA issues, the files were update d to revise or add da ta provided by the S/L/T agencies. Inventories developed by CENRAP were added to the inventories as directed by the S/L/T agencies. Then, the inventories were co mpared to the 2002 prelim inary NEI to identify

### 8 categories that existed in the NEI but not the S/L/ T inventories. The NEI data were added to the S/L/T inventories as direct ed by the EI Workgroup.

The following sections B, C, and D provide the methods for prepar ing the consolidated emissions inventories for point, area, and nonroad sources, respectiv ely. Each section discusses the QA review that was conducted on the S/L/T i nventories to identify QA issues that were corrected to support air quality modeling. Th en, each section disc usses the augmentation procedures that were applied to fill in missing da ta. These procedures identify supplemental data that S/L/T agencies provided to add to or replace data in their i nventories, the CENRAPsponsored inventories that were added to the inventories as ap proved by the S/L/T agencies, and the 2002 NEI categories that S/L/T agencies reques ted to be added to their inventories. The augmentation procedures also explain how missi ng PM emissions were estimated and added to the inventories after incorporat ing inventory data supplied by S/L/T agencies, the CENRAPsponsored inventory data, and data from the 2002 NEI.

For point sources that are subjec t to CEM requirements, section E discusses the data sources and procedures for preparing the 2002 CEM data an d temporal profiles to support air quality modeling. For point, area, and the non- NONROAD model source categories, Section F discusses the data sources and procedures fo r preparing temporal, speciation, and spatial allocation profiles needed to support air quality modeling. Section G discusses the formats in which the final emissions, temporal, speciation, and allocation data were prepared.

B. Point Source Inventory Methods

1. Data Sources

For each S/L/T inventory submitted to EPA, Table 4 provides a summary of the pollutants included in each inventory, and compares the numb er of counties in the inventory to the number of counties in the 2002 preliminary NEI and in each S/L/T agency. The table also compares the number of facilities in the S/ L/T inventory to the number of facilities in the 2002 preliminary NEI.

The inventories obtained from EPA are in Access 2000 databases in NIF 3.0. Each inventory was loaded into an Oracle database in NIF 3.0 to combine the inventories into a single data set. Then, after loading the inventories into Oracle in NIF 3.0, the following updates were performed on the consolidated data set, if necessary:9Table 4. Summary of Pollutants, Number of Counties, and Number ofFacilities in Point Source InventoriesState/Local/Tribal AgencyCO NH3NOxPM-PRI PM10-PRI PM25-PRI PM10-FIL PM25-FIL PM-CON SO2VOCNumber ofCounties in2002 S/L/TInventoryNumber ofCounties in2002PreliminaryNEINumberofCountiesin StateNumber ofFacilities in2002 S/L/TInventoryNumber ofFacilitiesin 2002Preliminary NEIAR x x x x x 57 60 75 227 324IA x x x x x x x x 74 26 99 270 67x x x x x x x x x 97 96 105 708 705KS1x 104 16 105 3,319 20LA x x x x x x x 59 60 64 906 1,033x x x x x x x x 87 82 87 2,628 836MN1x 77 13 87 542 14Fond du LacBand of theMinnesotaChippewa Tribex x x x x x NA2NA NA 5 NAx x x x x x 109 103 115 1,646 720MO1,3x 105 16 115 1,181 20NE-State x x x x x 27 72 93 36 634NE-Lincoln(LancasterCounty)x x x x x 1 1 93 17 100NE-Omaha(DouglasCounty)x x x x x x x x 1 1 93 68 87OK x x x x x x x x 66 69 77 397 1,046TX x x x x x x 201 203 254 1,914 3,2681State submitted separate inventories for the criteria pollutants and NH3. The NH3inventory was prepared under a CENRAP-sponsored project. The number of counties and facilities in the 2002preliminary NEI are for facilities with annual NH3emissions. Note that the number ofcounties and facilities with annual NH3emissions in KS and MO in the 2002 preliminary NEI are the same.2NA = Not Applicable.3The data for MO are from its original inventory submittal to EPA.

### 10 • Hazardous air pollutant (HAP) records were removed since the inventory will support regional haze, fine PM, and ozone modeling.

• Pollutant codes were corrected to make them NIF 3.0 compliant (e.g., update PMPRI pollutant code to PM-PRI). Additiona lly, other codes were identified for remediation on a case-by-case basis.

• Records with a submittal flag indicating de letions (submittal_flag = ‘D’ or ‘RD’) were removed from the inventory.

• Null values in the tribal code field were upda ted to ‘000’ since this field is a part of the data key that defines records as unique in all eight NIF tables.

• The following NIF plus fields were adde d to the Transmittal (TR), Site (SI), Emission Unit (EU), Emission Release Point (ER), Emission Process (EP), Emission Period (PE), Emission (EM), and Control Equipment (CE) tables:

• Data Source Codes:

Code Description S State agency-supplied data. L Local agency-supplied data. R Tribal agency-supplied data. P Regional Planning Organization. SC S/L/T agency Corrected. AUG-A PM Augmentation: ad-hoc change. AUG-C PM Augmentation: standard augmentation method. AUG-O PM Augmentation: set PM xx-FIL = PMxx-PRI where for SCCs starting with 10 (external fuel co mbustion) and 20 (internal fuel combustion). Note: emission factors and particle-size data for estimating condensible emissions for fuel combustion SCCs starting with 30 were not availa ble; therefore, condensible emissions were not estimated for these processes if an agency provided filterable and not primary emissions for these processes. AUG-Z PM Augmentation: automated fill-in of zero values where all PM for a particular process is zero. GENPARENT Data source where a pare nt record was system generated.

• Revision Date: This field indicates th e month and year during which the last revision was made to a record.

• State Federal Information Processing Sta ndard (FIPS): This field indicates the state FIPS code of the submittal.

• County FIPS: This field indicates th e county FIPS code of the submittal.

### 11 • The following NIF plus fields we re added to the EM table:

• Emission Ton Value: This field indicates the values of the emissions in tons. This field was used to prepare summaries of emissions on a consistent emission unit basis.

• Emission Type Period: This field indi cates the period of the Emission Type – either ANNUAL or NONANNUAL. Th is field was used to prepare summaries of annual emissions.

• CAP_HAP: This field identifies records for CAP versus records for HAPs. For the CENRAP inventory, the flag is CAP for all records.

• Year: This field indicates the year of the data; for this inventory, it is 2002.

2. QA Review

QA review on the inventories was conducted in acco rdance with the QA procedures specified in the QAPP for this project (CENRAP, 2004b). Th e following discusses the QA diagnoses that were run on the consolidated point source invent ory data set. The QA issues identified were communicated to the S/L/T agencies through a set of QA Summary Reports in Excel Workbook files. The agencies provided corrections to th e data in the Excel files and the inventory was updated with the corrections.

a. County and Facility Coverage

S/L/T agencies for which the number of counties in their point source inventory submittal to EPA declined relative to the number of counties in the NEI include AR (-3 counties), LA (-1 parish), OK (-3 counties), TX (-2 counties), and NE (-45 counties) (see Table 2). NE moved its small point sources from its area source inventory to its point source inventory; therefore, this increased the county coverage in its point source inventory. States for which the number of counties in their point source inventory submittal to EPA increased relative to the number of counties in the NEI included IA (+48 counties) , MO (+6 counties), MN (+5 counties), and KS (+1 county). The NEI did not contain any tribal data for the CENRAP region.

As shown in Table 4, the number of facilities included in the inventorie s for AR, LA, NE, NE – Omaha, NE – Lincoln, OK, and TX is lower th an the number of facilities included in the 2002 preliminary NEI. An electronic match was conduc ted on the state and county FIPS and facility identification (ID) code between th e two inventories to identify f acilities and their emissions in the 2002 preliminary NEI but not in the S/L/T agency inventories. However, due to changes that S/L/T agencies made to facility ID codes in their inventories, the electronic matching did not work well as this procedure identified facilities that are in both inventories but with different facility ID codes. The results of this compar ison were provided to the agencies for review and all of the agencies confirmed that there were no missing facilities in the point source inventories they submitted to EPA.

### 12 b. Pollutant Coverage

As shown in Table 4, all of the S/L/T inventories contain emissions for CO, NO x 

### , SO 2 

### , and VOC. The inventories for TX; NE state; Lancaste r County, NE; and the Fond du Lac Band of the Minnesota Chippewa Tr ibe did not include NH 3 

### emissions. KS, MN, and MO submitted NH 3 

### inventories prepared under a CENR AP-sponsored project. These NH 3 

### inventories were merged with the CAP inventories for these three states. Pechan worked with these three agencies to resolve facility matching and duplicate records th at occurred in the Transmittal (TR), Site (SI), Emission Release Point (ER), Emission Unit (EU), and EP tables.

Except for AR, all S/L/T agencies in cluded one or more forms of PM, PM 10 

### , and/or PM 2.5 

### in their inventories. AR subsequently provided a new invent ory that included PM 10 

### and PM 2.5 

### emissions data. The modeling inventory needs to include a complete set of PM10-PRI and PM25-PRI pollutants for all sources of PM 10 

### and PM 2.5 

### . Therefore, based on the data the S/L/T agencies included in their inventories, procedures were developed and applied to fill in missing pollutant data needed to prepare a complete PM10-PRI and PM25-PRI inventory. The QA review of the PM data is di scussed further in the following section, and the augmentation procedure is discussed in section II.B.4.

c. Particulate Matter (PM) Emi ssions Consistency and Completeness Review

The following consistency checks were performed at the EM table data key level (for annual emissions) to compare PM emissions:

• If a process was associated with a PM emi ssion record, but was missing one or more of the following (as appropriate for the Source Classification Code [SCC] [i.e., condensible PM (PM-CON) is associated with fuel combustion only]): PM10-FIL, PM10-PRI, PM25-FIL, PM25-PRI, or PM-CON, the record was flagged for review.

• The following equations were used to determine consistency:

PM10-FIL + PM-CON = PM10-PRI PM25-FIL + PM-CON = PM25-PRI PM-FIL + PM-CON = PM-PRI (as appropriate)

• The following comparisons were applied to determine consistency:

PM10-PRI >= PM10-FIL PM25-PRI >= PM25-FIL PM10-PRI >= PM-CON PM25-PRI >= PM-CON PM10-FIL >= PM25-FIL PM10-PRI >= PM25-PRI PM-PRI >= PM10-PRI (as appropriate) PM-PRI >= PM25-PRI (as appropriate)

### 13 PM-FIL >= PM10-FIL (as appropriate) PM-FIL >= PM25-FIL (as appropriate)

If the data failed one of these checks it was diagno sed as an error. If a S/L/T agency did not provide corrections to these errors, the errors were corrected/filled in according to the augmentation procedure discussed in section II.B.4.

d. Emission Release Point (ERP) Coordinate Review

Location coordinates for point sources were ev aluated using geographic information system (GIS) mapping to determine if the coordinates were within 0.5-k ilometers of the boundary of the county in which the source was located. If not , the S/L/T agency was asked to review the coordinates and provide corrections to either the coordinates or the state and county FIPS codes. The 0.5-kilometer test resulted in a large number of ERPs for revi ew by the agencies. Therefore, to assist S/L/T agencies in prioritizing their re view of coordinates, ERP records with coordinates located more than 0.5, 1, 2, 3, 5, 7, and 10 or more kilometers from their county boundary, and coordinates that mapped outside of their stat e boundary were identified. Annual emissions summed to the ERP level were included in the QA Summary Report to identify records with zero emissions for all pollutants and to identify the highest emitting stacks.

e. ERP Parameter Review

The EPA’s QA guidance for diagnosing ERP issues for the point source NEI (EPA, 2004b) was applied to identify QA issues in the S/L/T point source inventories. The QA guidance involved diagnosing the correct assignment of the ERP type (i.e., stack or fugitive), parameters with zero values, parameters not within the range of values specified in the EPA’s QA procedures, and consistency checks (i.e., comparing calculated valu es against expected values). In many cases errors were due to defaulted zeros, and submitting agencies were requested to provide the value. In other cases, out-of-range errors were caused by unit conversion issues (e.g., stack parameters were in ft, ft/sec, cu ft/sec or degrees Fahr enheit). The agencies were asked to provide corrections or additions to ERP parameters, or note in the QA Summary Report that records flagged with potential QA issues were corrected. If an agency did not provide corrections for out-of-range or missing values, the data were corrected or filled in according to the ERP augmentation procedure discussed in section II.B.4.

f. Control Device Type and Control Efficiency Data Review

The CE codes in the “Primary Device Type Code” and “Secondary Device Type Code” fields were reviewed to identify invalid codes (i.e., codes that did not exist in the NIF 3.0 reference table) and missing codes (e.g., records with a nu ll or uncontrolled code of 000 but with control efficiency data).

QA review of control efficiency data involved dia gnosis of two types of errors. First, records were reviewed to identify control efficiency values that were reported as a decimal rather than as a percent value. Records with control efficien cies with decimal values were flagged as a

### 14 potential error (although not necessarily an error, since the real control efficiency may be less than 1 percent).

The second check identified reco rds where 100% control was reporte d in the CE table, but the emissions in the EM table were greater than zero and the rule effectiveness value in the EM table was null, zero, or 100% (implying 100 percent co ntrol of emissions). Because many agencies did not populate the rule effectiveness field or a default valu e of zero was assigned, records with null or zero rule effectiveness values were incl uded where the CE was 100% and emissions were greater than zero. For records that met these criteria, the records were reviewed by the S/L/T agency to provide corrections, if necessary.

g. Start and End Date Checks

QA review was conducted to identify start date and end date values in the PE and EM tables to confirm consistency with the inventory year in th e transmittal table, and to confirm that the end date reported is greater than the start date reported.

h. Annual and Daily Emissions Comparison

The following QA checks were conducted to iden tify potential errors associated with the incorrect reporting of dail y and/or annual emissions:

• Any “DAILY” type record that is greater th an its associated “ANNUAL”. Only TX and MO sent DAILY records. While TX did have DAILY records greater than annual (due to the TX original database rounding of TON vs. LB records). For the CENRAP point source inventory it was determ ined that the most efficient approach was to use only the ANNUAL records.

3. Responses from S/L/T Agencies

The point source inventories were revised to inco rporate the corrections that the S/L/T agencies provided in response to the QA issu es identified in their inventories. Where responses from the S/L/T agencies were not provided, standard procedures were used to default or augment the data. Section II.4 describes in more detail the gap f illing and augmentation procedures. Additionally, included with this report is a set of S/L/T-specific file s indicating responses to specific QA issues and defaults that were implemented with re maining QA issues. An example of a default implemented would be the correction of TONS to T ON in a unit field. Each S/L/T set of files is accompanied by a Read_me.txt file th at describes the files in furt her detail. The files included with each S/L/T documentation set (if the QA issue existed) are the following (based on the QA Issues discussed above):

• PM Augmentation QA Summary

• PM Augmentation Preliminary Review

• Stack Parameter QA Summary

• Stack Coordinates QA Summary

• Stack Parameter and Coordinate Augmentation

### 15 • SCC QA Summary

• Control Device/Efficiency Summary

In addition, the listing of stat e QA files also includes the output of the EPA QA checker as run on the final CENRAP inventory, and the PM ratio factor table (as described in section II.B.4.b) as developed for the CENRAP SCC and control devices.

4. Gap Filling and Augmentation

The following discusses the augmentation procedures that were used to fill in missing data that were not supplied by the S/L/T agencies.

a. CENRAP Sponsored Inventories

The CENRAP inventory includes data generated fr om CENRAP sponsored source type oriented inventories. The following invent ories (and the relevant S/L/T agencies) were included with the CENRAP inventory:

• CENRAP NH 3 

### Inventory (IA, KS, MO, MN, NE, OK)

• MN Fires Inventory (MN)

• CENRAP Prescribed Burni ng Inventory (all states)

• CENRAP Concentrated Animal Feeding Op erations (CAFO) Dust Inventory (all states)

b. PM Augmentation

The PM augmentations process gap-fills missing PM pollutant complements. For example, if a S/L/T agency provided only PM10-PRI pollutants the PM augmentation process filled in the PM25-PRI pollutants. The steps in the PM augmentation process were as follows:

• Initial QA and remediation of S/L/T provided PM pollutants;

• Development of PM factor ratios based on factors from FIRE (Factor Information REtrieval) version 6.2 and the PM Calculator (EPA, 2003; EPA, 2004c);

• Implementation of the ratios developed in step 2.; and

• Presentation of PM augmentation results to S/L/T agencies for review and comment

Note: There are two Access databases that accompa ny this documentation. The first database is the Reference Tables for PM Augmentation . This database contai ns the SCC Control Device Ratio table, the Emission Factors table and Emission Factors Crosstab table discussed in Step 2. The PM Calculator ratio table can be provi ded upon request – it contains all possible combinations for SCC and Control Device types th at are available in the PM Calculator.

An additional database ( PM Augmentation Draft ) that contains the PM crosstab table with the preliminary PM Augmentation results and a QA tabl e (which may be empty) was provided. This database will be discussed in Step 3 and Step 4.

### 16 These steps are further detailed below.

1. Initial QA and Remediation of PM Pollutants

S/L/T agencies were initially presented with f iles that detailed potenti al inconsistencies and missing information in their PM pollutant inventor y. Inconsistencies in PM pollutants include the following:

• PM-PRI less than PM10-PRI, PM25-PR I, PM10-FIL, PM25-FIL, or PM-CON

• PM-FIL less than PM10-FIL, PM25-FIL

• PM10-PRI less than PM25-PRI, PM10-FIL, PM25-FIL or PM-CON

• PM10-FIL less than PM25-FIL

• PM25-PRI less than PM25-FIL or PM-CON

• The sum of PM10-FIL and PM-CON not equal to PM10-PRI

• The sum of PM25-FIL and PM-CON not equal to PM25-PRI

Potential missing information was summarized in a table which detailed the variety of cases provided by the S/L/T agency. For example, a S/L/T agency might have provided PM10-FIL and PM25-FIL for some processes, but for ot her processes only PM10-FIL was provided.

S/L/T agencies were asked to review this inform ation and provide corrections where possible. In general, corrections (or general directions) were provided in the case of the potential inconsistency issues. An exam ple of a general direction provi ded by a S/L/T agency was to remove PM25-FIL where greater than PM10-FIL b ecause the PM10-FIL was (in their particular case) known to be more reliable. In other ca ses, the agency-provided specific process level pollutant corrections. In general, if specific direction was not pr ovided by the agency, priority was given to the PM 10 

### number.

2. Development of PM Factor Ratio

The primary deliverable of this step of the process was the development of a table keyed by SCC, primary control device, and secondary contro l device. This table is called the SCC Control Device Ratios table. The table stru cture follows the discussion below.

This table was filled according to the following steps:

• Ratios (both condensible and noncondensible ) were added from FIRE for SCCs starting with 10* (external fuel combusti on) and 20* (internal fuel combustion) where there was a direct match between the provided SCC, and primary and secondary control devices.

• Ratios (non-condensable) were added from th e PM Calculator for SCCs starting with 10* and 20* where there was not a direct match between the provided SCC, and primary and secondary control devices. C ondensible ratios were added from the PM Calculator based on the unc ontrolled SCC for these SCCs. In some cases, it was necessary to map the SCC and control device s to the PM calculator to find a match

### 17 for the noncondensible ratios. In some cas es, it was necessary to map the SCC to FIRE to find a match for condensible ratios.

Table 5. Description of the Fiel d Names and Descriptions for the SCC Ratio Table

Field Name Field Description PM Calculator A “Yes” in this field indicates that at least some of the information was retrieved from the PM Calculator FIRE A “Yes” in this field indicates that at least so me of the information was retrieved from the Emission Factors table. A “Condensible Ratios” in this field indicates that the condensible ratios factors were retrieved from this table. Other A field to indicate other sources as necessary. SCC Source category code from the S/L/T agency-provided data. SCC_DESC Description of source category code from the S/L/T agency-provided data. maptoSCC This field equals SCC unless the SCC provided was not found in the appropriate source table. In that case, the SCC was mapped using the cl osest available appropr iate mapping choice. maptoSCC_DESC Description of the maptoSCC. mapSCCNote Any notes related to the mapping of the SCC. A “Yes” in this field indicates that the SCC was mapped. PD Primary device type from the S/L/T agency provided data. PD_DESC Description of the primary device (PD). maptoPD This field equals PD unless the PD provided was not found in the appropriate source table. In that case, the PD was mapped using the closes t available appropriate mapping choice. maptoPD_DESC Description of the maptoPD. mapPDNote Any notes related to the mapping of the PD. A “Yes” in this field indicates that the PD was mapped. SD Secondary device type from the S/L/T agency provided data. SD_DESC Description of the secondary device (SD). maptoSD This field equals SD unless the SD provided was not found in the appropriate source table. In that case, the SD was mapped using the closes t available appropriate mapping choice. maptoSD_DESC Description of the maptoSD. mapSDNote Any notes related to the mapping of the SD. A “Yes” in this field indicates that the SD was mapped. PM-FIL/PM10-FIL This field and the following are ratios calc ulated from emission factors found either in FIRE or the PM calculator. PM-FIL/PM25-FIL This field and the following are ratios calc ulated from emission factors found either in FIRE or the PM calculator. PM-FIL/PM-PRI This field and the followi ng are ratios calculated from emission factors found either in FIRE or the PM calculator. PM-PRI/PM10-PRI This field and the followi ng are ratios calculated from emission factors found either in FIRE or the PM calculator. PM-PRI/PM25-PRI This field and the followi ng are ratios calculated from emission factors found either in FIRE or the PM calculator. PM10-FIL/PM25-FIL This field and the following are ratios calc ulated from emission factors found either in FIRE or the PM calculator. PM10-PRI/PM25-PRI This field and the following are ratios calc ulated from emission factors found either in FIRE or the PM calculator. PM-CON/PM10-FIL Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios were not found in FIRE for 10* and 20* these ratios were set to zero. PM-CON/PM10-PRI Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios were not found in FIRE for 10* and 20* these ratios were set to zero. PM-CON/PM25-FIL Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios were not found in FIRE for 10* and 20* these ratios were set to zero. PM-CON/PM25-PRI Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios were not found in FIRE for 10* and 20* these ratios were set to zero. PM-CON/PM-FIL Condensible ratios were ca lculate from FIRE if available for 10* and 20* SCCs. If condensible ratios were not found in FIRE for 10* and 20* these ratios were set to zero. PM-CON/PM-PRI Condensible ratios were calculate from FIRE if available for 10* and 20* SCCs. If condensible ratios were not found in FIRE for 10* and 20* these ratios were set to zero. RPO Specific Note Indicates SCC and control dev ice combinations are in the RPO inventory. Additional Notes Any notes regar ding assumptions about ratios.

### 18 • For natural gas, process ga s and liquefied petroleum gas SCCs starting with 10* and 20*, it was assumed (based on FIRE emissi on factors trend) that the PM-PRI/PM10- PRI/PM25-PRI ratio was equal to 1. It was also assumed that the PM-FIL/PM10- FIL /PM25- FIL was equal to 1. Cond ensible ratios were calculated from uncontrolled FIRE emission factors based for these SCCs. In some cases it was necessary to map the SCC to FIRE to find a match for condensible ratios.

• Ratios for SCCs not like 10* and 20* were obtai ned from the PM Calculator. It was assumed that the condensible component was zero.

Accompanying this document is a database cont aining the SCC Control Device Ratios table. Additionally, the Emission Factors and Emission Factors Crosstab table (which are derived from FIRE) are provided. The Emission Factors Crosstab table contains the ratios developed from the Emission Factors table. The Emission Factor s table contains detail ed information on the emission factors used to develop the ratios.

Note: Ratios from the PM calculator were deve loped using a standard input of 100 TONS of uncontrolled PM-FIL emissions.

3. Implementation of the QA Ratios

In order to calculate the additional PM polluta nts based on the SCC Control Device ratio table developed in the above step, a crosstab table was created from the EM table based on the following fields:

• State FIPS

• County FIPS

• Tribal Code

• Emission Unit ID

• Process ID

• Start Date

• End Date

• Emission Type

• SCC

• Primary Device Type

• Secondary Device Type

The primary and secondary device type fields were added based on information from the CE table. If control equipment information was not available these fields were defaulted to 000 (“UNCONTROLLED”). In the few cases where th ere was a conflict between the control devices reported for the same process for PM pollutants (for example, a PM10-PRI is listed as controlled, but PM-PRI did not have control information), th e control device type was selected based on the controlled pollutant.

In addition to the fields listed above, the cr osstab included the PM emission amounts for the particular process and a field that indicated whet her those emissions existe d in the inventory. These fields are as follows:

### 19 • PM_PRI

• PM_FIL

• PM10_PRI

• PM10_FIL

• PM25_PRI

• PM25_FIL

• PM_CON

• PM_PRI_EXISTS

• PM_FIL_EXISTS

• PM10_PRI_EXISTS

• PM10_FIL_EXISTS

• PM25_PRI_EXISTS

• PM25_FIL_EXISTS

• PM_CON_EXISTS

The emission values are in the PM_P RI, PM_FIL, PM10_PRI, PM10_FIL, PM25_PRI, PM25_FIL, PM_CON fields. The _EXISTS field i ndicates whether the po llutant was provided by the S/L/T agency. A zero indicates that the po llutant was not provided; a number greater than zero (usually one) indicates that it was provided by the S/L/T agency.

Prior to the development of this crosstab, the EM table was filled in as much as possible using basic assumptions. For example, if the S/L/T agen cy provided emissions that were equal to zero for PMs for a particular process, it was assumed th at all PMs for that process were zero and they were filled in accordingly. Since that assumption was that for non 10* and 20* SCCs, the condensible value was zero – that would lead to PM10-FIL = PM10-PRI and PM25-FIL = PM25-PRI and PM-FIL = PM-PRI. Given that assu mption, values for these pollutants were also filled in. After this data insertion, a subset of the crosstab was created. This subset only contained processes that required additional augm entation. The SCC control device type ratio table described in step 2 was based on only t hose SCC and control device types that required augmentation.

The next step was to fill in the missing informa tion in this crosstab using the information found in the SCC Control Device Ratio table.

In calculating PM complement pollutants, prio rity was given to calculating –PRI and –CON pollutants. FIL pollutants were onl y calculated if necessary to calculate other pollutants or if it was a by-product of this calculation.

In augmenting the PM pollutants the non 10* and 20* SCCs were augmented first, with order given to augmenting based on PM 10 

### where available, PM 25 

### where available, and then PM .

Augmenting the PM pollutants for the 10* and 20* SCCs is more complicated, but the basic approach was to augment based on PM 10 

### (FIL or PRI) where available, PM 2.5 

### (FIL or PRI) where available, and then PM (FIL or PRI) if PM 10 

### or PM 2.5 

### variations were not available. Where both PM 10 

### (FIL or PRI) and PM 2.5 

### (FIL or PRI) variations were bot h available, the calculation for

### 20 PM-CON was generally driven from the PM 10 

### number and the complements as necessary were back calculated. Where a –PRI emission factor ratio was required and was not available the – FIL emission factor ratio was used.

After calculations, the data was QA checked to ensure that the calculations resulted in consistent values for the PM complement. On a few occasions, the mix of ratio value and the pollutants and values provided by the S/L/T agency resulte d in negative values when –FIL was backcalculated. In this case the negative –FIL value was set to zero and the –PRI value was readjusted.

The resultant PM table has the format described in Table 6.

4. Presentation of PM Augmentation for S/L/T Agencies to Review and Comment

The table described in Step 3 was provided for the S/L/T agency to review in the PM Augmentation Draft ) . In addition to this table, if there were any remaining QA issues these were listed in the QA table in this database.

Note: There are some high condensible ratios th at were calculated for some SCC device type combinations. In most cases these high condensib le ratios were the result of the back calculation of PM-CON from PM10-PRI or PM25-PRI records. Since the state had already provided the PMxx-PRI records, these PM-CON values were not added to the inventory.

The data source code field was used to identify records that were added to the inventory to complete the set of PM10-PRI and PM25-PRI emissions.

c. ERP Coordinates

If a S/L/T agency did not provide corrections for ERP coordinates that map more than 5 kilometers outside of the county boundary, or pr ovide coordinates for ERP records that did not have any coordinates in the S/L/ T inventory, the following proce dures were applied to replace the coordinates:

• Coordinates for other ERPs at the same f acility, if available, that map within the county;

• Coordinates for the centroid of the zip code for a facility if a valid zip code is provided or can be obtained from th e agency if it is not valid; or

• County centroid coordinates.

### 21 Table 6. Description of the Field Nam es and Descriptions for the Resulting PM Augmentation Table

Field Name Field Description Augment A “Yes” in this field indicates that the process PM was augmented. Condensible Note If condensible information was added this field will note that. STATE_FIPS State FIPS COUNTY_FIPS County FIPS STATE_FACILITY_IDENTIFIER Site ID EMISSION_UNIT_ID Emission Unit PROCESS_ID Process START_DATE Start Date END_DATE End Date EMISSION_TYPE Emission type SCC Source Category Code SCC_DESC SCC description PRIMARY_DEVICE_TYPE Primary Device Type PRIMARY_DEVICE_TYPE_DESC PDT description SECONDARY_DEVICE_TYPE Secondary Device Type SECONDARY_DEVICE_TYPE_DESC SDT description EMISSION_TYPE_PERIOD Emission Type Period EMISSION_RELEASE_POINT_ID Emission Release Point ID FACILITY_NAME Facility Name ORIS_FACILITY_CODE ORIS facility Code SIC_PRIMARY SIC ACTUAL_THROUGHPUT Actual Throughput THROUGHPUT_UNIT_NUMERATOR Throughput Unit Numerator PM_PRI Emission ton value for PM-PRI PM_FIL Emission ton value for PM-FIL PM10_PRI Emission ton value for PM10-PRI PM25_PRI Emission ton value for PM25-PRI PM10_FIL Emission ton value for PM10-FIL PM25_FIL Emission ton value for PM25-FIL PM_CON Emission ton value for PM-CON PM_PRI_EXISTS 0 if the S/L/ T agency did not provide, > 0 if S/L/T agency did provide PM_FIL_EXISTS 0 if the S/L/ T agency did not provide, > 0 if S/L/T agency did provide PM10_PRI_EXISTS 0 if the S/L/ T agency did not provide, > 0 if S/L/T agency did provide PM25_PRI_EXISTS 0 if the S/L/ T agency did not provide, > 0 if S/L/T agency did provide PM10_FIL_EXISTS 0 if the S/L/T agency did no t provide, > 0 if S/L/T agency did provide PM25_FIL_EXISTS 0 if the S/L/T agency did no t provide, > 0 if S/L/T agency did provide PM_CON_EXISTS 0 if the S/L/T agency did no t provide, > 0 if S/L/T agency did provide RECORD_COUNT 0 if the S/L/T agency did not provide, > 0 if S/L/T agency did provide

System Update Note This field contains system codes related to the update queries used to calculate the record.



### The zip code was taken from the SI NIF 3.0 tabl e. The zip code was compared to a reference table of valid zip codes to verify that it is an active zip code and exists in the state and county reported in the inventory. If a valid zip code for a facility was not identified, the centroid for the facility’s county was used as a last resort . In some cases, the S/L/T agency provided confirmation that the S/L/T coordinates were corre ct even if the analysis indicated that the coordinates were outside of the county boundary (g enerally in the case of offshore facilities). These coordinates were not changed. Additi onally, all coordinates were converted to latitude/longitude measurements.

### 22 d. ERP Parameters

If valid ERP parameters were not provided by the S/L/T agency, Pechan applied the ERP augmentation procedures for the 2002 point sour ce NEI (EPA, 2004b). It has been determined that the augmentation procedures in this document regarding SCC-specific ERP types and temperatures may be difficult to resolve. When this situation occurred , preference was given to the S/L/T agency-supplied ERP type and SCC. Fo r example, the procedures did not account for cases where an emission unit had two processes w ith one defined as a stack source and the other as a fugitive source. Therefore, the S/L/T-s upplied ERP type was used when this situation occurred. If the ERP type was null, and information was not available from the S/L/T agency, the stack height information was used as a guide. If stack height inform ation was available, the ERP was treated as a stack, or, if stack height information was not available, the ERP type was treated as a fugitive. Additionally, there were oc casional typographical errors resolved where the ERP type digits were transposed ‘20’ instead of ‘02’; these were resolved. An additional modification to the augmentation procedure was al so implemented. Since, in many cases, null values were filled in with zeros by S/L/T ag ency databases when comparing out-of-range velocities and flows (after it was determined that the stack and diameter information was correct) – null and zero values were treated in the same manner to prevent inappr opriate replacement of stack parameter values. Additi onally, stack parameter values we re rounded to 1 decimal place when compared to range values (just for the pur poses of comparison) to prevent replacement of S/L/T parameter values based on negligible decimal differences.

e. Control Device Type and Control Efficiency Data

Control efficiency values of 100% and rule effectiveness values of 100% with non-zero emissions were diagnosed as potential errors and sent to the S/L/T agencies. Where possible the data were updated with S/L/T corrections. Decima l control efficiencies were also diagnosed and sent to the S/L/T agencies. A decimal control e fficiency value usually indicated that the control efficiency was not entered as a percentage valu e as is required by NIF 3.0. Where possible the data were updated with S/L/T correc tions (See Section II.B.2 above).

f. SCC Data

S/L/T agencies were provided with lists of inva lid or inactive SCCs. Where the S/L/T agencies were able to provide valid SCC information this was updated with S/L/T agency information. Where S/L/T agencies were unable to provide valid SCC information, the proposed mapping information provided was used to update the S/L/T agency information.

In some cases, the SCC issues were not forthcom ing until further into the processing than the initial QA stages. This occurred in cases of la te data submissions, and the generation of parent EP records for EM records. In this case, S CCs were replace with the following approach:

• Where the SCC was invalid and mapping was available the SCC was changed to the mapping SCC;

• Where the mapping SCC was not available a more generic code was selected;

• Where the SCC was truncated a generic code was selected;

### 23 • Where the SCC was still unavailable the NEI 1999 Version 3 was used as a source;

• Where still unavailable – the most generic of the existing SCCs for the emission unit was used; or

• Where still unavailable – the most generic of the existing SCCs for the facility was used.

This second approach affected 529 records.

g. SIC Data

There were some overall changes made to SIC da ta – for SICs that had been provided as 0200 these were changed to 02 which is considered a valid SIC by the EPA QA program. Also, in order to provide a better basis for the stack augmentation procedure, missing SIC codes were filled in using the lowest numerical value base d on the NAICS to SIC code crosswalk.

5. Revisions to Address Comments

The following items were revised per state instru ction during S/L/T agency review of the draft point source inventory:

a. Missouri

Missouri supplied new stack parameter information. Their stack parameters were updated and the stack augmentation procedure was reapplied. The Access database “Missouri_Stack_Updates_200501.mdb” contains the changes.

b. Nebraska-Omaha

NH 3 

### emissions were revised from 584.78 tons per year to 1.57 tons per year for NebraskaOmaha facility 0002 - the Omaha Public Power District - North Omaha Power Station.

c. Minnesota

Per Minnesota’s request, SCC 30302301 (- crushing) was changed to SCC 30302312 (-pellet induration) for the following f acility, emission unit, and processes:

Facility Name: Ispat Inland Mining Company State Facility ID: 2713700062 Emission Unit ID: EU026 Process IDs: 001, 004, 007, and 010

d. Texas and Missouri Daily Emissions

State daily emissions data for Texas and Missouri are included in the SMOKE input files for the CENRAP inventory. For the NIF 3.0 files, the daily emissions are provided in a file called “CENRAP_Point_Daily_Missouri_Texas_20050216. mdb.” A daily emissions record was

### 24 included in the file only if it had an associated annual emissions record. In addition to the Daily EM and PE records, a table called “Daily Values GT Accompanying Annual Values” was included in the database that lists records with a daily emission value that is greater than the annual emission value. In the overwhelming major ity of cases this situat ion occurred when the daily emission value was very small and record ed in pounds and the annual value was zero and recorded in tons. In many cases, in the orig inating emission inventory application, emission values are rounded. Therefore, the an nual ton value was rounded to zero.

6. QA Review of Final Inventory

Final QA checks were run on the revised point so urce inventory data set to ensure that all corrections provided by the S/L/T agencies were in corporated into the S/L/T inventories and that there were no remaining QA issues that could be addressed during the duration of the project. After exporting the inventory in Or acle to an Access database in NIF 3.0, the EPA QA program was run on the Access database and the QA output was reviewed to verify that all QA issues that could be addressed were resolved (EPA, 2004a)

This file accompanies this documentation with the specific details included. The following summarizes the remaining QA issues that could not be addressed during the duration of this project (listed by table):

CE

Primary device type codes were not provided by all of the modeled inventories, specifically CAFOs and prescribed burning; it should be dete rmined if there is an appropriate generic primary device type to be used or whet her the CE records should be removed.

In the MN prescribed burning inventory, a NIF 3.0 formatting error resulting in a shift of the data which place the submittal flag of A in the third primary device column (as well as other shifts). This has no effect on the data performance, but it is noted as a potential cleanup issue.

EM

The EPA QA checker indicated that some emissi ons were outside the normal expected range. While this is a guideline and not a specific fault, this listing could be reviewed for specifically high values.

CH 4, 

### EC, and OC were flagged as errors since th ese values are not in the EPA pollutant code table.

PE

There are a few records with the units M2 a nd MASS that were not in the EPA QA checker table. It could be determined if these values should be added, or whet her there are appropriate substitutes.

### 25 There are a few remaining records with opera ting times outside the EPA QA Checker ranges.

EP

There are a few remaining records with operati ng parameters and seasonal sums outside the normal expected range.

The SCC 30202000 has not yet been added to the EPA QA Checker SCC database.

ER

A significant number of records ar e missing the supplementary coordinate reference information (Horizontal data measure, horizontal data accuracy, horizontal collection method code).

A number of records indicate coordinates outs ide of county boundaries – the reasons why this may occur were explained in the coordinate au gmentation section earlier in this document.

A number of records also indicate stack parame ters outside of ranges expected by the EPA QA checker. This is due either to the S/L/T agency specifically requesting no t to change the values or to default values in the EPA table whic h fall outside of the EPA QA Checker ranges.

EU

SIC code 3041 is not in the SIC codes table.

SI

The modeled inventories (particularly the NH 3 

### and CAFO inventories) did not provide zip code information with the site data. This accounts for a tremendous number of the invalid zip code errors found when running the EPA QA checker. Ther e are other records with zip code errors in addition to these; however, these inventories are the source of the majority of these errors.

NAICs codes are missing on some records.

TR

REPORT_CERTIFIER should be corrected to REPORT CERTIFIER.

Some records are missing the transaction creation date information.

### 26 C. Area Source Inventory Methods

1. Data Sources

For each S/L/T inventory submitted to EPA, Table 7 provides a summary of the number of counties and the pollutants included in each S/L/T inventory. For comparison purposes, the table shows the number of counties in each area sour ce inventory included in the 2002 preliminary NEI and the number of counties in each state.

The states of IA and LA did not submit an area source inventory for the CAPs. For the state of NE, the data shown in Table 7 are from its area source inventory submittal to EPA. However, NE’s area source inventory contained emissions for small point sources and NE subsequently moved the small point sources to the its point so urce inventory. IA, LA, NE, and OK requested that the 2002 preliminary NEI be used for thei r area source inventory for the CAPs except for categories (i.e., prescribed burning, agricultural burning, and agricultural dust) for which they requested that the CENRAP-sponsored inventor y be used instead of the NEI. The NH 3 

### inventories that IA and LA submitted to EPA were maintained in the CENRAP inventory. In addition, Omaha did not submit an area source i nventory; therefore, th e 2002 preliminary NEI was used as the area source data for the CENRAP inventory for Omaha. OK’s original inventory submittal to EPA was a copy of the 2002 preliminar y NEI, but the emission values were rounded to two decimal places. OK’s inventory was upda ted with the unrounded emission values in the 2002 preliminary NEI (February 2004 version).

The area source inventories obtained from EPA were loaded into Oracle in NIF 3.0 into one data set. Then, the following updates were performed on the consolidated data set, if necessary:

• HAP records were removed since the inve ntory will support regional haze, fine PM, and ozone modeling.

• Pollutant codes were corrected to make them NIF 3.0 compliant (e.g., update PMPRI pollutant code to PM-PRI). Additiona lly, other codes were identified for remediation on a case-by-case basis.

• Records with a submittal flag indicating de letions (submittal_flag = ‘D’ or ‘RD’) were removed from the inventories.

• Null values in the tribal code field were upda ted to ‘000’ since this field is a part of the data key that defines records as unique in all five NIF tables.27Table 7. Summary of Pollutants and Numberof Counties Included in Area Source InventoriesState/Local/TribalAgencyCO NH3NOxPM-PRI PM10-PRI PM25-PRI PM10-FIL PM25-FIL PM-CON SO2VOCNumber ofCounties in2002 S/L/TInventoryNumber ofCounties in2002PreliminaryNEINumber ofCounties inStateAR x x x x x x x 75 75 75IA x 99 99 99KS x x x x x x x 105 105 105LA x 64 64 64MN x x x x x x 87 87 87Fond du Lac Band ofthe MinnesotaChippewa Tribex x x x x x NA1NA NAMO x x x x x x x 115 115 115NE-State x x x x x x x 79 93 93NE-Lincoln(Lancaster County)x x x x x x x 1 1 93NE-Omaha(Douglas County)21 1 93OK x x x x x x x x x x 77 77 77TX x x x x x x x x x x 254 254 2541NA = Not Applicable.2Omaha’s area source inventory is included in the state of NE’sinventory submittal. Omaha did not submit its own area sourceinventory to EPA.

### 28 The following NIF plus fields were adde d to the EP, PE, EM, and CE tables:

• Data Source Codes:

For the area and nonroad inventory data, the da ta source codes were based on the following 9- character format:

[Data Origin]-[Year]-[Grown/Not Grown/Ca rried Forward]-[PM Augmentation Code]

Code Field Length Data Origin 1 Year 3 (including leading hyphen) Grown/Not Grown/Carried Forwar d 2 (including leading hyphen) PM Augmentation 3 (including leading hyphen)

Data Origin Codes

Code Description S State agency-supplied data L Local agency-supplied data R Tribal agency-supplied data P Regional Planning Organization-generated data E EPA/Emission Factor and Invent ory Group (EFIG)-generated data

Year Codes

Year for which data were supplied (e.g., Year = -02 for 2002), or from which prior year data were taken (e.g., Year = -99 for 1999; -01=2001).

Grown/Carried Forward/Not Grown Codes

Code Description -G Used when emissions in a pre-2002 i nventory were grown to represent 2002 emissions. -F Used when emissions in a pre-2002 inventory were carried forward and included in the 2002 inventory without adjustment for growth. -X Used when the emissions were not grown or were not carried forward. For example, X was used when emissions were calculated for the 2002 inventory using 2002 activity, or when data were replaced with 2002 S/L/T data.

PM Augmentation Codes

-PA PM Augmented Emissions: Record for PM 10 

### /PM 2.5 

### emissions that were updated or added using ad-hoc updates.

### 29 -PC PM Augmented Emissions: Record added for PM 10 

### /PM 2.5 

### emissions estimated using the PM Calculator. -PR PM Augmented Emissions: Record added for PM 10 

### /PM 2.5 

### emissions estimated using ratios of PM 10 

### -to-PM or PM 2.5 

### -to-PM 10 

### . If PM 10 

### and PM 2.5 

### emissions were equal and one of the pollutants was assigned this code, the ratio was assumed to be 1.

2 QA Review

QA review was conducted on the S/L/T area sour ce inventories in ac cordance with the QA procedures specified in the QAPP for this pr oject (CENRAP, 2004b). The following discusses the QA checks that were completed during prep aration of the consolid ated data set.

a. County and SCC Coverage

The county coverage in the state inventories app eared to be reasonable for all states. The SCC coverage was difficult to evaluate simply by show ing a count of the number of SCCs by state. Each S/L/T inventory was compared to the pre liminary 2002 NEI, and area source categories in the NEI but not in a S/L/T inventory was sent to each agency for review. Each S/L/T agency then selected the NEI categories that were then added to the CENRAP inventory.

b. Pollutant Coverage

The pollutant coverage in the S/L/T inventories was complete for all pollutants except for PM 10 

### and PM 2.5 

### . Diagnosis and resolution of PM 10 

### and PM 2.5 

### pollutant emissions is discussed later in section II.C.4.

c. EPA QA Summaries Sent to S/L/T Agencies

Under a separate project with EPA, Pechan performed QA review of the S/L/T area source inventories. This QA review involved running EPA’s QA program on each data set to identify and resolve QA issues. Using the results of th is QA work, Pechan prepared two sets of QA summaries that EPA sent to the S/L/T agencies. Pechan contacted each S/L/T agency with QA issues. The following explains these two summaries:

High-level Summary of S/L/T I nventories Submitted to EPA :

The first summary was an Excel workbook file w ith four spreadsheets that provided the following information:

• 2002 Nonpoint File Names: This spreadsh eet documented names and formats of the files that EPA received from the S/L/T ag encies and the dates on which they were transferred to Pechan.

• 2002 Nonpoint Summary: This spreadsheet documented the jurisdiction of the submitting agency (i.e., S/L/T agency), type of inventory (i.e., criteria, HAP, or

### 30 both), a comparison of the number of the counties in the inve ntory to the total number of counties in the state to identify the geographic coverage of the inventory, a unique list of CAP codes, and the to tal number of area source SCCs. This spreadsheet also indicated if any nonroad or onroad emissions data were moved from the agency’s area source inventory to its nonroad or onroad inventory).

• 2002 Nonpoint Emission Sums: This spreadsheet summarized emissions by start date, end date, and emission type and assi gned the appropriate code to the emission type period NIF plus field.

• 2002 Nonpoint Error Summary: This spreadsheet provided a copy of the “SummaryStats” table from the EPA QA program (EPA, 2004a). This table provided the count of records for each NIF 3.0 table and identif ied the number of records with errors by type of error.

Detailed Summary of QA Issues :

This summary (sent to S/L/T agencies on August 11) was prepared in a text file that listed by state and NIF table the number of records with er rors, and provided corrections for the errors. To support documentation of corrections to some of the errors in the text file, Pechan prepared an Excel workbook file that summarized the follo wing errors and corrections by state: invalid pollutants codes; invalid units; invalid maximu m achievable control technology (MACT) codes; and invalid and inactive SCCs. A spreadsheet was also included to show the mapping of Standard Industrial Classification (SIC) codes to North American Industrial Classification System (NAICS) codes. This crosswalk was used to correct invalid NAICS codes if a valid SIC code was available in the S/L/T inventories and vice versa.

d. Additional QA for the CENRAP Area Source Inventory

The following explains additional QA and data tracking that was performed for the CENRAP inventory. The following data elements were reviewed to identify QA issues:

• Range Errors;

• PM Emissions Consistency and Completeness;

• Control Device Codes and Control Efficiency Values;

• Start and End Dates;

• Annual and Daily Emissions Comparison; and

• Comparison of S/L/T Inventories to the 2002 Preliminary NEI.

For each S/L/T inventory for which QA issues we re identified, a separate QA Summary Report was prepared in an Excel Workbook file, and sent to each S/L/T agency for review. The S/L/T agencies provided directions in the Excel Wo rkbook file, via e-mail, or by submitting revised records in NIF 3.0 in an Access database to correct the inventories. The QA reports are discussed under section II.C.3.

### 31 Range Errors

The EPA’s QA program contains routines that co mpare annual emission values, numeric fields in the PE and EP tables, and ot her temporal numeric fields agai nst a range of values. The QA program flags records that are less than or greate r than the range of values for review. Pechan summarized the range errors for the S/L/T agen cies to review and provide corrections. According to EPA, the ranges to which values in inventories are compared represent “normal” ranges that are based on percentiles from pr evious inventories. The range values are conservative in that EPA wants to identify suspic ious values even though the values may be real (Thompson, 2002).

PM Emissions Consistency and Completeness Review

The following consistency checks were performed at the EM table data key level (for annual emissions) to compare PM emissions:

• If an SCC was associated with a PM em ission record, but was missing one or more of the following (as appropriate for the SCC [i.e., PM-CON is associated with fuel combustion only]): PM10-FIL, PM10-PRI, PM25-FIL, PM25-PRI, or PM-CON, the record was flagged for review.

• The following equations were used to determine consistency:

PM10-FIL + PM-CON = PM10-PRI PM25-FIL + PM-CON = PM25-PRI

• The following comparisons were made to determine consistency:

PM10-PRI >= PM10-FIL PM25-PRI >= PM25-FIL PM10-PRI >= PM-CON PM25-PRI >= PM-CON PM10-FIL >= PM25-FIL PM10-PRI >= PM25-PRI

If the data failed one of these checks it was diagno sed as an error. If a S/L/T agency did not provide corrections to these errors, the erro rs were corrected/filled in according to an augmentation procedure explained in section II.C.4.

For information purposes, all PM-PRI and PM-FIL records were flagged to indicate that these pollutants were included instead of, or in addition to, the standard PM 10 

### , PM 2.5 

### , and PM-CON pollutants.

### 32 Control Device Type and Control Efficiency Data Review

The control equipment codes in the “Primary Device Type Code” and “Secondary Device Type Code” fields were reviewed to identify invalid c odes (i.e., codes that did not exist in the NIF 3.0 reference table) and missing codes (e.g., records with a null or unc ontrolled code of 000 but with control efficiency data).

QA review of control efficiency data involved dia gnosis of two types of errors. First, records were reviewed to identify control efficiency values that were reported as a decimal rather than as a percent value. Records with control efficien cies with decimal values were flagged as a potential error (although not necessarily an error, since the real control efficiency may be less than 1 percent). Records with a 1% control effi ciency value were also identified for review by the S/L/T agency to determine if the value was reported as a decimal in its internal data system but rounded to 1% when the data were converted to NIF 3.0.

The second check identified reco rds where 100% control was reporte d in the CE table, but the emissions in the EM table were greater than zero and the rule effectiveness value in the EM table was null, zero, or 100% (implying 100 percent co ntrol of emissions). Because many agencies did not populate the rule effectiveness field or a default valu e of zero was assigned, records with null or zero rule effectiveness values were incl uded where the CE was 100% and emissions were greater than zero. For records that met these crite ria, Pechan consulted with the S/L/T agency to determine if corrections were needed to any of the fields.

Start and End Date Checks

QA review was conducted to identify start and end date values in the PE and EM tables to confirm consistency with the inventory year in th e transmittal table, and to confirm that the end date reported was greater than the start date reported.

Annual and Daily Emissions Comparison

The S/L/T inventories were reviewed to determin e if any of the following conditions existed:

• Multiple records coded at the SCC level as emission type 30, but with different start and end dates. While not a tr ue duplicate, this may indicate an error or inclusion of both annual and seasonal values.

• Multiple records coded at the SCC level as a daily emission type (27, 29, etc.) but with different start and end dates. While not a true duplicate, this may indicate an error or just inclusion of addi tional types of daily emissions.

• Multiple records coded at the SCC level with the same start and end date, but different emission types. While not a true duplicate, this may indicate an error or just inclusion of additional types of daily emissions.

### 33 • Any “DAILY” type record that was missing its associated “ANNUAL” record was flagged for review.

• Any “DAILY” type record that was greater than its associated “ANNUAL” record was flagged for review.

3. Responses from State, Local, and Tribal (S/L/T) Agencies

QA Summary Reports were sent to the S/L/T agenci es to review the QA issues identified. The S/L/T agencies were asked to return these repor ts to CENRAP with thei r corrections documented in the reports. These reports were then used to document revisions to the S/L/T inventories. The QA Summary Reports containing the revisions provided by the S/L/T agencies are provided in Excel Workbook files with this report. The names of the files are provided in Table 8. Note that a QA Summary Report was not prepared for NE and OK since the area source inventory for these two states is a copy of the 2002 NE I. OK provided an inventory for SCC 2310000000 (Industrial Processes / Oil and Gas Production: SIC 13 / All Processes / Total: All Processes) for VOC, NO x 

### , and CO that was incorporated into the CENRAP inventory.

Table 8. QA Summary Reports for S/L/T Area Source Inventories

S/L/T Agency Excel Workbook File Name of QA Summary Report AR AR_NP_QA_Report_092404.xls Fond du Lac Band of the Minnesota Chippewa Tribe Fonddulac_NP_QA_Report_083004.xls
IA IA_NP_QA_Report_090204.xls KS KS_NP_QA_Report_090104.xls LA LA_NP_QA_Report_090304.xls MN MN_NP_QA_Report_092304.xls MO MO_NP_QA_Report_091704.xls NE - Lancaster County (Lincoln) NE_Lanc aster_NP_QA_Report_082704-approved.xls TX TX_NP_QA_Report_090904_v3.xls



### The first spreadsheet in each QA Summary Report defines the remaining spreadsheets in the Excel Workbook file and provides instructions fo r communicating revisions. Table 9 provides a list of the QA summaries (note that a spreadsheet wa s not included in an agencies report if there were no QA issues).

### 34 Table 9. Summary of Spreadsheets Provided in QA Summary Reports for Area Source Inventories

Name of Spreadsheet Content/Instructions Summary Stats This spreadsheet is a copy of the “SummaryStats” table generated by the EPA’s QA program. This shows the re sults of running the QA program on the August 6 version of the area source inventory files EPA provided to the S/L/T agencies after correcting referential integrity and duplicate record issues. Lookup Errors This spreadsheet provides a unique list of NI F 3.0 reference table “Lookup Errors” identified by t he EPA’s QA program. The S/L/T agency should provide corrections to the lookup errors or indicate in the “Approved” column in this spreadsheet if it accepts the correction provided in the “Correction” Column. Range Errors This spreads heet details the ran ge errors identified by the EPA’s QA program. Emission Type Period This spread sheet identifies EM table record s as containing annual, seasonal, or daily emissions in the NIF plus fi eld named “Emission Type Period.” This NIF plus field, once populated, will be used to prepare em issions summaries on a consistent temporal basis. PMx Issues1 This spreadsheet documents t he results of QA review conducted on PM10 and PM2.5 emissions as required by the Quality Assurance Project Plan (QAPP) and Draft Methods Docu ment for this project. PMx Issues2 This spreadsheet provides addi tional details regarding PM10 and PM2.5 QA issues referred to in the “PMx Issues1” spreadsheet. NEI Categories not in State EI The spreadsheet provides a unique list of the SCCs in the preliminary 2002 NEI that did not appear in the agency’s inventory submittal to EPA. The spreadsheet shows the number of count ies in which the SCC appears in the NEI, and provides the NEI annual emissions in tons. See the “State to NEI Comparison” spreadsheet for detailed comparison at state level to help identify the NEI categories to add or excl ude from your inventory in this “NEI Categories not in State EI” spreadsheet.

This spreadsheet does not include: 1. SCCs in the NEI that electron ically match on the state and county FIPS and SCC in the agency’s inventory; and

2. SCCs in the NEI that are diffe rent than the agency’s SCC but for the same category. For example, if an agency uses a general SCC for a category and the NEI uses SCCs that pr ovide more detail, the SCCs in the NEI are not included in this spreadsheet. The agency should review the spreadsheet to make sure that all double counting of emissions between the agency’s inventory and the NEI has been eliminated. State to NEI Comparison (provides additional data to supplement the data in the “NEI Categories not in State EI” spreadsheet) This spreadsheet compares the SCCs in the S/L/T inventory to the SCCs in the 2002 preliminary NEI at the state-le vel. The number of counties that appear for each SCC in your state is also provided. This spreadsheet should be used to help make decisions on the NEI categories you want added and excluded from the list provided in the “NEI Categories not in State EI” spreadsheet.

### 35 4. Gap Filling and Augmentation

The following discusses the augmentation procedures that were applied to the S/L/T inventories to improve the inventories or to fill in missi ng data not supplied by the S/L/T agencies.

a. CENRAP-Sponsored Inventories

CENRAP sponsored inventory development for source categories of NH 3 

### and planned burning (i.e., prescribed burning, rangeland burning, and agricultural field burning) and agricultural dust area source categories. For each of these cate gories, each S/L/T agency was requested to complete a table to indicate if it (1) include d the CENRAP-sponsored inve ntory in the inventory it submitted to EPA; (2) included its own estimates for a category in the inventory it submitted to EPA; or (3) if it did not include a category in its inventory, if the CE NRAP-sponsored inventory or the 2002 preliminary NEI should be used as the s ource of data for the category. The results of this request are summarized in Table 10.

Table 10. Summary of CENRAP-Sponsor ed Inventories Included in the Area Source Consolidated Emissions Inventory

CENRAP Inventory Included in S/LT Inventory Submitted to EPA S/L/T Inventory Used Instead of CENRAP Inventory CENRAP Inventory Added to S/L/T Inventory Preliminary NEI Used Instead of CENRAP Inventory Area Source

Category SCCs Monthly Annual Summer Day Winter Day Annual Annual Planned Burning Inventories (pollutants included in S/L/T inventories are listed at the bottom of this table) 1 Prescribed Burning for Forest Management 2810015000 AR; TX; Lancaster County, NE; Tribal AR, TX AR, TX IA, KS, LA, MN, MO, NE (state), OK

Prescribed Burning of Rangeland 2810020000 TX; Lancaster County, NE TX IA, KS, LA, MN, MO, NE (state), OK

Agricultural Field Burning 28015001xx; 28015002xx AR; TX; Lancaster County, NE TX IA, KS, LA, MN, MO, NE (state), OK

Fugitive Dust Inventories For PM10-PRI and PM25-PRI Agricultural Crop Tilling, Harvesting, and Other Activities 2801000003 AR AR AR IA, KS, LA, MN, MO, NE (state), OK, TX NH 3 Inventories 2 Animal Husbandry (Livestock) 28050xxxxx IA, KS, LA, MO AR, TX TX TX MN; NE (state); Lancaster County, NE; OK Agriculture Fertilizer Application 28017000xx IA, KS, LA, MO AR, TX MN; NE (state); Lancaster County, NE; OK Food and Kindred Products - Refrigeration 2302080002 IA, KS, LA, MO AR MN, NE (state), OK

Municipal Landfills 2620030000 IA Public Owned Treatment Works 2630020000 KS, MO TX TX MN; NE (state); Lancaster County, NE; OK IA, LA

Other Combustion - Forest Wildfires 2810001000 MO KS, TX KS, TX MN IA; LA; NE (state); Lancaster County, NE; OK

### Table 10 (continued)

36 CENRAP Inventory Included in S/LT Inventory Submitted to EPA S/L/T Inventory Used Instead of CENRAP Inventory CENRAP Inventory Added to S/L/T Inventory Preliminary NEI Used Instead of CENRAP Inventory Area Source

Category SCCs Monthly Annual Summer Day Winter Day Annual Annual Other Combustion - Human Perspiration and Respiration 2810010000 IA, KS, LA, MO AR, TX AR, TX AR MN; NE (state); Lancaster County, NE; OK Domestic Animals Waste 280601xxxx IA, KS, LA, MO TX TX MN; NE (state); Lancaster County, NE; OK Wild Animals Waste 28070xxx xx IA, KS, LA, MO TX TX MN; NE (state); Lancaster County, NE; OK Natural Sources/Biogenic (Vegetation/Forests /Land Use) 2701xxxxxx IA, KS, LA TX TX NE (state), OK

Light Duty Gasoline Vehicles 2201001000 IA, KS, LA

Light Duty Diesel Vehicles 2230001000 IA, KS, LA

1 The following identifies the pollutants included in the planned burning inventories by S/L/T agency:

Prescribed Burning for Forest Management AR: CO, NO
x , VOC, PM10-PRI, PM25-PRI Fond du Lac Band of the MN Chippewa Tribe: CO, PM-PRI, PM10-PRI, PM25-PRI IA, KS, LA, MN, MO, OK; NE (state); Lancaster County, NE: CO, NO
x , NH 3 , SO 2 , VOC, PM10-PRI, PM25-PRI TX: CO, NO
x , NH 3 , SO 2 , VOC, PM10-PRI, PM10-FIL, PM25-PRI, PM25-FIL

Prescribed Burning of Rangeland IA: CO, NO
x , SO 2 , VOC, PM10-PRI, PM25-PRI KS; LA; MN; MO; OK; NE (state); Lancaster County, NE: CO, NO
x , NH 3 , SO 2 , VOC, PM10-PRI, PM25-PRI Lancaster County, NE: CO, NO
x , PM10-PRI, PM25-PRI TX: CO, NO
x , NH 3 , VOC, PM10-PRI, PM10-FIL, PM25-PRI, PM25-FIL

Agricultural Field Burning AR: CO, VOC, PM10-PRI, PM25-PRI IA, KS, LA, MN, MO, OK; NE (state); Lancaster County, NE: CO, NO
x , NH 3 , SO 2 , VOC, PM10-PRI, PM25-PRI TX: CO, NO
x , NH 3 , VOC, PM10-PRI, PM10-FIL, PM25-PRI, PM25-FIL

2 The CENRAP-sponsored NH 3 inventories were prepared for monthly emissions. The monthly emissions were summed to calculate annual emissions. The annual emission records were a dded to the area source inventory to support preparation of emission summaries.

### 37 b. PM Augmentation

Procedures were developed to estimate missing pollutant data fr om data provided by the S/L/T agencies in order to develop a complete set of PM10-PRI and PM25-PRI emissions to support air quality modeling. The following discusses the procedures for fossil fuel combustion and residential wood combustion source s first followed by the procedures for all other area sources of PM emissions.

Fossil Fuel Combustion Sources

Fossil fuel combustion sources include industria l, commercial/institutional, and residential anthracite coal, bituminous/subbituminous coal, dist illate oil and kerosene, residual oil, natural gas, and liquefied petroleum gas (LPG). All of these sources emit both filterable and condensible emissions. The QA review of the PM emissions data for these sources focused on verifying that the emissions reported in the S/L/T inventories included both filterable and condensible emissions. The emissions for these po llutants can be reported individually (i.e., as filterable and condensible separately) or as prim ary emissions (i.e., the sum of the filterable and condensible emissions). The QA review also fo cused on evaluating the emission factors reported in the S/L/T inventories to determine if they were reasonable.

To support the QA review effort, the uncontrolled PM emission factors shown in Table 11 were compiled from AP-42. The emission factors report ed in the S/L/T inventories were compared to the emission factors in this table. Emission factors that appeared t oo high or too low were flagged for review by the S/L/T agency. In addi tion, inventory data were flagged for review by the S/L/T agency if the emissions were reported under the primary PM pollutant codes but the emission factors matched with the emission factor s for filterable PM in Table 11. Finally, if emission factors were not reporte d in the S/L/T agency inventor y, the emission factors were back-calculated using the throughput data (if available), emissions, rule effectiveness values, and control efficiency data (if available). The back -calculated emission factors were compared to the factors in Table 11 to identify data with major di fference between the factors. It is emphasized that the uncontrolled emission factors in Table 11 were used as a reference for reviewing S/L/T inventory data. The emission factor s in this table should not be cons trued to be the best available for all S/L/T agencies since the emission factors will vary depending on the composition of the boiler population in an agency’s area source inventory.

The states of IA, KS, LA, NE, and OK used the fossil fuel combus tion inventory in the preliminary 2002 NEI for the CENRAP inventory. Revisions to the NEI for residential LPG and kerosene were completed after the preliminar y 2002 NEI was released in February 2004; the revised inventories for these two categories were included in the CENRAP inventory for IA, KS, LA, NE, and OK.

AR, MN, and TX provided their own inventory for all fossil fuel combustion categories. AR’s inventory reported filterable emissions under the primary pollutant code, but AR corrected its inventory and provided updates to the CENRAP inventory.38Table 11. Area Source Industrial, Commercial/Institutional, and Residential Fossil Fuel Combustion UncontrolledEmission Factors for PM10-PRI/FIL, PM25-PRI/FIL, and PM-CONPollutant1UncontrolledEmission Factor(EF) EF Numerator EF DenominatorCalculatedUncontrolled EF ReferenceIndustrial Boilers: Anthracite Coal (SCC 2102001000)PM10-FIL 2.3 LB TON 30.77 AP-42 Table 1.2-4 EF calculated from formula of 2.3 * % Ash Content(13.38%). Reference for ash content is EPA, 2002.PM25-FIL 0.6 LB TON 8.03 AP-42 Table 1.2-4 EF calculated from formula of 0.6 * % Ash Content(13.38%) (used Commercial/Institutionalemission factors). Reference for ashcontent is EPA, 2002.PM-CON 0.08 LB TON 1.07 AP-42 Table 1.2-3 Usedformula for SCC 10300101, EF calculated fromformula of .08 * % Ash Content (13.38%).Reference for ash content is EPA,2002.PM10-PRI LB TON 31.84PM25-PRI LB TON 9.10Industrial Boilers: Bituminous/Subbituminous Coal (SCC 2102002000)PM10-FIL 13.2 LB TON 13.2 AP-42 Table 1.1-9 EF (used Commercial/Institutional emission factors)PM25-FIL 4.6 LB TON 4.6 AP-42 Table 1.1-9 EF (used Commercial/Institutional emission factors)PM-CON 1.04 LB TON 1.04 AP-42 Table 1.1-5 (used Commercial/Institutional emission factors)PM10-PRI LB TON 14.24PM25-PRI LB TON 5.64Industrial Boilers and IC Engines: Distillate Oil (SCC 2102004000)PM10-FIL 1 LB E3GAL 1 AP-42 Table 1.3-6PM25-FIL 0.25 LB E3GAL 0.25 AP-42 Table 1.3-6PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2PM10-PRI LB E3GAL 2.30PM25-PRI LB E3GAL 1.55Industrial Boilers: Residual Oil (SCC 2102005000)PM10-FIL 7.17 LB E3GAL 10.683 AP-42 Table 1.3-5.EF calculated from formula of 7.17(A); whereA=1.12(S)+0.37; Assumed S=1% for purpose of calculating EF ratios.PM25-FIL 4.67 LB E3GAL 6.958 AP-42 Table 1.3-5.EF calculated from formula of 7.17(A); whereA=1.12(S)+0.37; Assumed S=1% for purpose of calculating EF ratios.PM-CON 1.5 LB E3GAL 1.5 AP-42 Table 1.3-2PM10-PRI LB E3GAL 12.18PM25-PRI LB E3GAL 8.46Industrial Boilers and IC Engines: Natural Gas (SCC 2102006000)PM10-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2PM25-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2PM-CON 5.7 LB E6FT3 5.7 AP-42 Table 1.4-2PM10-PRI 7.6 LB E6FT3 7.60PM25-PRI 7.6 LB E6FT3 7.60Table 11 (continued)39Pollutant1UncontrolledEmission Factor(EF) EF Numerator EF DenominatorCalculatedUncontrolled EF ReferenceIndustrial Boilers - Liquified Petroleum Gas (SCC 2102007000)PM10-FIL 0.6 LB E3GAL 0.6 AP-42 Table 1.5-1PM25-FIL 0.6 LB E3GAL 0.6 AP-42 Table 1.5-1PM-CON 0.506 LB E3GAL 0.506 Used natural gas PM-CON emission factor of 5.7 lb/Million Cubic Feet (for allPM controls and uncontrolled). Used factor of 0.0887 to convert emissionfactor from lb/Million Cubic Feet of natural gas to lb/1,000 gallons of propane.Reference: AP-42, Table 1.4-2. Conversion factor assumes 1020 Btu/scf fornatural gas (AP-42, Table 1.4-2) and 90,500 Btu/gallon for propane (AP-42,Appendix A, page A-5).PM10-PRI LB E3GAL 1.11PM25-PRI LB E3GAL 1.11Industrial Boilers: Kerosene (SCC 2102011000)PM10-FIL 1 LB E3GAL 1 AP-42 Table 1.3-6PM25-FIL 0.25 LB E3GAL 0.25 AP-42 Table 1.3-6PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-6PM10-PRI LB E3GAL 2.30PM25-PRI LB E3GAL 1.55Commercial/Institutional Heating: Anthracite Coal (SCC 2103001000)PM10-FIL 2.3 LB TON 30.77 AP-42 Table 1.2-4 EF calculated from formula of 2.3 * % Ash Content(13.38%). Reference for ash content is EPA, 2002.PM25-FIL 0.6 LB TON 8.03 AP-42 Table 1.2-4 EF calculated from formula of 0.6 * % Ash Content(13.38%). Reference for ash content is EPA, 2002.PM-CON 0.08 LB TON 1.07 AP-42 Table 1.2-3 Usedformula for SCC 10300101, EF calculated fromformula of 0.08 * % Ash Content (13.38%).Reference for ash content is EPA,2002.PM10-PRI LB TON 31.84PM25-PRI LB TON 9.10Commercial/Institutional Heating: Bituminous and Lignite (SCC 2103002000)PM10-FIL 13.2 LB TON 13.2 AP-42 Table 1.1-9 EFPM25-FIL 4.6 LB TON 4.6 AP-42 Table 1.1-9 EFPM-CON 1.04 LB TON 1.04 AP-42 Table 1.1-5 (0.04 lb/MMBtu * 26MMBtu/ton=1.04)PM10-PRI LB TON 14.24PM25-PRI LB TON 5.64Commercial/Institutional Heating: Distillate Oil (SCC 2103004000)PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2PM10-PRI LB E3GAL 2.38PM25-PRI LB E3GAL 2.13Table 11 (continued)40Pollutant1UncontrolledEmission Factor(EF) EF Numerator EF DenominatorCalculatedUncontrolled EF ReferenceCommercial/Institutional Heating: Residual Oil (SCC 2103005000)PM10-FIL 5.17 LB E3GAL 7.703 AP-42 Table 1.3-7.EF calculated from formula of 5.17(A); whereA=1.12(S)+0.37; Assumed S=1% for purpose of calculating EF ratios.PM25-FIL 1.92 LB E3GAL 2.861 AP-42 Table 1.3-7.EF calculated from formula of 5.17(A); whereA=1.12(S)+0.37; Assumed S=1% for purpose of calculating EF ratios.PM-CON 1.5 LB E3GAL 1.5 AP-42, Table 1.3-2PM10-PRI LB E3GAL 9.20PM25-PRI LB E3GAL 4.36Commercial/Institutional Heating: Natural Gas (SCC 2103006000)PM10-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2PM25-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2PM-CON 5.7 LB E6FT3 5.7 AP-42 Table 1.4-2PM10-PRI LB E6FT3 7.60PM25-PRI LB E6FT3 7.60Commercial/Institutional Heating: Liquified Petroleum Gas (SCC 2103007000)PM10-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Propane for Commercial Boilers)PM25-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Propane for Commercial Boilers)PM-CON 0.506 LB E3GAL 0.506 Used natural gas PM-CON emission factor of 5.7 lb/Million Cubic Feet (for allPM controls and uncontrolled). Used factor of 0.0887 to convert emissionfactor from lb/Million Cubic Feet of natural gas to lb/1,000 gallons of propane.Reference: AP-42, Table 1.4-2. Conversion factor assumes 1020 Btu/scf fornatural gas (AP-42, Table 1.4-2) and 90,500 Btu/gallon for propane (AP-42,Appendix A, page A-5).PM10-PRI LB E3GAL 0.91PM25-PRI LB E3GAL 0.91Commercial/Institutional Heating: Kerosene (SCC 2103011000)PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7 Used EF for Distillate Oil (per EIIP)PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 Used EF for Distillate Oil (per EIIP)PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 Used EF for Distillate Oil (per EIIP)PM10-PRI LB E3GAL 2.38PM25-PRI LB E3GAL 2.13Residential Heating: Anthracite Coal (SCC 2104001000)PM10-FIL 10 LB TON 10 EPA, 2002.PM25-FIL 0.6 LB TON 8.03 EF calculated from formulaof 0.6 * % Ash Content (13.38%). Reference forEF and ash content is EPA, 2002.PM-CON 0.08 LB TON 1.07 EF calculated from formulaof 0.08 * % Ash Content (13.38%). Reference forEF and ash content is EPA, 2002.PM10-PRI LB TON 11.07PM25-PRI LB TON 9.10Table 11 (continued)41Pollutant1UncontrolledEmission Factor(EF) EF Numerator EF DenominatorCalculatedUncontrolled EF ReferenceResidential Heating: Bituminous and Lignite Coal (SCC 2104002000)PM10-FIL 6.2 LB TON 6.2 AP-42 Table 1.1-11PM25-FIL 3.8 LB TON 3.8 AP-42 Table 1.1-11PM-CON 1.04 LB TON 1.04 AP-42 Table 1.1-5 (0.04 lb/MMBtu * 26 MMBtu/ton=1.04)PM10-PRI LB TON 7.24PM25-PRI LB TON 4.84Residential Heating: Distillate Oil (SCC 2104004000)PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table1.3-7 (Commercial/Institutional EF)PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table1.3-7 (Commercial/Institutional EF)PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2PM10-PRI LB E3GAL 2.38PM25-PRI LB E3GAL 2.13Residential Heating: Natural Gas - All types (SCC 2104006000)PM10-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4.2PM25-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4.2PM-CON 5.7 LB E6FT3 5.7 AP-42 Table 1.4.2PM10-PRI LB E6FT3 7.60PM25-PRI LB E6FT3 7.60Residential Heating: Liquefied Petroleum Gas (SCC 2104007000)PM10-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Same factor used for Propane for Commercial Boilers;based on EIIP)PM25-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Same factor used for Propane for Commercial Boilers;based on EIIP)PM-CON 0.506 LB E3GAL 0.506 Used natural gas PM-CON emission factor of 5.7 lb/Million Cubic Feet (for allPM controls and uncontrolled). Used factor of 0.0887 to convert emissionfactor from lb/Million Cubic Feet of natural gas to lb/1,000 gallons of propane.Reference: AP-42, Table 1.4-2. Conversion factor assumes 1020 Btu/scf fornatural gas (AP-42, Table 1.4-2) and 90,500 Btu/gallon for propane (AP-42,Appendix A, page A-5).PM10-PRI LB E3GAL 0.91PM25-PRI LB E3GAL 0.91Residential Heating: Kerosene (SCC 2104011000)PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7 Used EF for Distillate Oil (per EIIP)PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 Used EF for Distillate Oil (per EIIP)PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 Used EF for Distillate Oil (per EIIP)PM10-PRI LB E3GAL 2.38PM25-PRI LB E3GAL 2.131PM10-PRI EF = sum of PM10-FIL and PM-CON EFs;PM25-PRI EF = sum of PM25-FIL and PM-CON EFs.

### 42 MO used the NEI data for industrial residual oil combustion, commercia l/institutional residual oil combustion, and residential an thracite coal combustion. MO ’s inventory contained several PM QA issues, and MO provided corrections (using AP-42 emission factors) that were incorporated into the CENRAP inve ntory. MO did not provide any PM 10 

### or PM 2.5 

### emissions data for forest wildfires (SCC 2810001000).

MN provided corrections to PM QA issues that we re incorporated into the CENRAP inventory. Lancaster County, NE provided its own inventory for residential natural gas fired furnaces, and requested that no other industrial, commercial/ins titutional, or residential fossil fuel combustion categories in the NEI be added to its inventory. The tribal in ventory did not contain any fossil fuel combustion inventory data.

TX’s inventory was revised to address the PM x QA issues listed in the QA Summary Report (TX_NP_QA_Report_090904_v3.xls). Most of th e QA issues in TX’s inventory were associated with the sum of the filterable and condensible emissions not equaling the primary emissions. This issue was corrected by replacin g the primary emissions with the sum of the filterable and condensible emissions. Many of the QA issues were associated with daily emissions. Since daily emissions are not needed to support regional haze air quality modeling, TX and CENRAP agreed to remove the dail y PMx emissions from TX’s inventory.

Residential Wood Combustion

The states of IA, LA, NE, and OK (including Lancaster County) used the residential wood combustion inventory in the preliminary 2002 NEI fo r the CENRAP inventory. Revisions to the NEI for residential wood combustion were co mpleted after the preliminary 2002 NEI was released in February 2004; the revised inventor ies for this category was were included in the CENRAP inventory for IA, LA, NE, and OK.

The states of AR, KS, MN, MO, and TX prep ared their own reside ntial wood combustion inventories. KS and MO provided replacement i nventories that disaggregated the emissions in more detail (i.e., by separate SCCs for fireplaces and woodstoves) than pr ovided in their original inventory submittal to EPA. In addition, KS , MO, and MN revised the emission factors and provided updated emissions for CO and PM10-PR I and PM25-PRI that originate from the NEI method for this category to address a unit conve rsion issue identified with the NEI emission factors.

Other Sources of PM Emissions

For states that provided only PM10-FIL and PM25-FIL emissions, PM10-PRI emissions were set equal to PM10-FIL emissions and PM25-PRI emissi ons were set equal to PM25-FIL emissions. The PM10-PRI and PM25-PRI emissions that were a dded to the inventory were assigned a data source code of S-02-X-PR where S-02-X code represents the code assigned to the PM10-FIL and PM25-FIL emissions provided by the S/L/T agency and the “-PR” indicates that the ratio was applied to estimate the primary emissions (in th is case, the ratio of primary to filterable emissions is “1”).

### 43 PM25-PRI emissions missing from S/L/T inventor ies were estimated by applying a ratio of PM25-PRI to PM10-PRI emissions to the PM10-PR I emissions provided by the S/L/T agency. Table 12 identifies the agencies with SCCs for which ratios were applied to estimate PM25-PRI emissions. This table also shows the ratios and the reference for the ratios.

TX’s inventory for agricultural tilling (SCC 2801000000) contained records where the filterable emissions exceeded the primary emissions. These emissions were grown from Version 3 of the 1999 NEI. This issue was corrected by setting the PM10-PRI and PM25-PRI emissions equal to the PM10-FIL and PM25-FIL emissions.

Table 12. SCCs for which PM25-PRI Em issions were Estimated by Applying a Ratio to the PM10-PRI Emissions in the S/L/T inventory

SCC SCC Description Agency Ratio of PM25-PRI to PM10- PRI Reference 2294000000 Mobile Sources : Paved Roads : All Paved Roads : Total: Fugitives Fond du Lac Band of the Minnesota Chippewa Tribe 0.25 NEI Method

2296000000 Mobile Sources : Unpaved Roads : All Unpaved Roads : Total: Fugitives Fond du Lac Band of the Minnesota Chippewa Tribe 0.15 NEI Method

2505020000 Storage and Transport : Petroleum and Petroleum Product Transport : Marine Vessel : Total: All Products MO 1 No data available; assumed PM25-PRI equals PM10-PRI 2535010000 Storage and Transport : Bulk Materials Transport : Rail Car : Total: All Products Lancaster County, NE 1 No data available; assumed PM25-PRI equals PM10-PRI 2810015000 Miscellaneous Area Sources : Other Combustion : Prescribed Burning for Forest Management : Total Fond du Lac Band of the Minnesota Chippewa Tribe 1 No data available; assumed PM25-PRI equals PM10-PRI 2810020000 Miscellaneous Area Sources : Other Combustion : Prescribed Burning of Rangeland : Total KS, LA, and NE 0.8 Based on average ratio of PM25-PRI to PM10- PRI for emissions data provided by other CENRAP states 2810030000 Miscellaneous Area Sources : Other Combustion : Structure Fires : Total MO 0.91 NEI Method

2810050000 Miscellaneous Area Sources : Other Combustion : Motor Vehicle Fires : Total MO, TX 0.91 NEI Method



### c. 2002 NEI

Merging of NEI Data into S/L Inventories

The area source inventory provided by each S/L agency was compared to the 2002 NEI to identify categories in the NEI that were not in each S/L inventory. The list of categories identified was provided to each S/L agency and each agency then selected the NEI categories to be added to their inventory. Identification of categories includ ed in the 2002 NEI but not in a S/L inventory involved a two-step process. First, Pechan identified the ca tegories in the NEI that did not have an electronic match on the data ke y of the EM table between the S/L inventory and the NEI. Then, Pechan manually compared the NEI categories without an electronic match to

### 44 the S/L inventory to identify and eliminate NEI categories that were in the S/L inventory but had a different SCC. For example, a state inventor y may use a general SCC for a category while the NEI may use different SCCs to breakout emissions at a finer detail. Examples of categories where this typically occurred include residentia l wood combustion, open burning of land clearing debris, solvent utilization, and petroleum marketin g and transportation categories. In addition, if a S/L agency requested that a CENRAP-sponsored inventory be added to its inventory, the NEI categories that overlapped with the CENRAP-spons ored categories were removed from the list of NEI categories considered for inco rporation into a S/L inventory.

Note that the preliminary 2002 NEI did not cont ain any data for the Fond du Lac Band of the Minnesota Chippewa Tribe. Therefore, a compar ison of the tribal inventory to the NEI was not made.

The source categories in the 2002 NEI that were added to a S/L/T inventory can be identified where the data source code starts with “E”. These categories can be identified using the data source code field in the NIF 3.0 files or in the summary of area source emissions that contains the data source code.

Revisions to the Preliminary 2002 NEI

During preparation of the CENRAP inventory, EPA completed revisions to the emissions for six categories in the preliminary 2002 NE I released in February 2004. As agreed to with each S/L agency, the revised emissions were used in the CENRAP inventory in lieu of the preliminary 2002 NEI emissions if the agency requested that the category be included.

1. Non-Residential Construction (SCC 2311020000): 2002 emissions data replaced data in preliminary 2002 NEI that were carried forward from 1999 NEI.

2. Highway Construction (SCC 2311030000): 200 2 emissions data replaced data in preliminary 2002 NEI that were carried forward from 1999 NEI.

3. Open Burning of Land Clearing De bris (SCC 2610000500): 2002 emissions data replaced data in preliminary 2002 NEI that were carried forward from 1999 NEI. The activity for this category was based on activity prepared for the non-residential and highway construction categories. Fo r 2002, emissions were set to zero for counties with a population that was 80% ur ban or more based on 2000 Census data. This was not done for the 1999 NEI. For the NEI method, it was assumed that highly urban counties do not allow this act ivity to take place. Note that 2002 emissions data were already included in the preliminary 2002 NEI for the open burning of residential municipal solid wast e, open burning of yard waste, and the residential construction categories.

4. Residential LPG Combustion (SCC 2104007000): 2000 emissions data replaced data in the preliminary 2002 NEI that were carried forward from 1999 NEI.

### 45 5. Residential Kerosene Combusti on (SCC 2104011000): 2000 emissions data replaced data in the preliminary 2002 NEI that were carried forward from 1999 NEI.

6. Residential Wood Combustion (SCC s starting with 2104008xxx; 4 SCCs for fireplaces and 3 SCCs for woodstoves): The preliminary 2002 NEI emissions were revised to: (a) correct the CO, PM10-PRI, and PM 25-PRI emission factors for fireplaces without inserts (this cha nge doubled the emission factors associated with correcting an error in converting the values from g/kg to lb/ton); (b) correct the climate zone map for allocating national activity to states; (c) replace 1997 total residential wood consumption with 2001 estimates (this change reduced wood consumption for fireplaces with inserts and woodstoves); (d) update urban/rural population data to reflect 2002 estimates based on year 2002 total county population and year 2000 county ratios of urban/rural population to total population; and (e) change the data source code from E- 02-X (this was incorrect) to E-01-X to reflect 2001 activity data adjusted to 2002.

5. Revisions to Address Comments

The following items were revised per state instru ction during S/L/T agency review of the draft area source inventory:

a. Missouri

Missouri provided revisions to annual VOC emissions for the following surface coating categories to correct for doubl e-counting of emissions in the draft inventory.

SCC SCC Description 2401015000 Solvent Utilization : Surface Coating : Factory Finished Wood: SIC 2426 thru 242 : Total: All Solvent Types 2401020000 Solvent Utilization : Surface Coating : Wood Furniture: SIC 25 : Total: All Solvent Types 2401040000 Solvent Utilization : Surface Coating : Metal Cans: SIC 341 : Total: All Solvent Types 2401050000 Solvent Utilization : Surface Coating : Miscellaneous Finished Metals: SIC 34 - (341 + 3498) : Total: All Solvent Types 2401055000 Solvent Utilization : Surface Coating : Machinery and Equipment: SIC 35 : Total: All Solvent Types 2401060000 Solvent Utilization : Surface Coating : Large Appliances: SIC 363 : Total: All Solvent Types 2401065000 Solvent Utilization : Surface Coating : Electronic and Other Electrical: SIC 36 - 363 : Total: All Solvent Types 2401070000 Solvent Utilization : Surface Coating : Motor Vehicles: SIC 371 : Total: All Solvent Types

### 46 2401080000 Solvent Utilization : Surface Coating : Marine: SIC 373 : Total: All Solvent Types

For these SCCs, MO did not provide any daily emissions. The daily emissions in the draft inventory originated from the 1999 NEI. The daily emissions for some of the SCCs were greater than the annual emissions after incorporati ng the revised inventory supplied by MO. After discussing this issue with Missouri, the following revisions were made to the daily emissions:

(1) For records where Missouri's revised annual emissions were zero, the daily emissions were set to zero and the data source code was set to S-02-X; and (2) For records where Missouri's revised a nnual emissions were greater than zero, the daily emissions were removed from the CENRAP inventory.

b. Minnesota

Minnesota provided a new inve ntory of annual VOC emissi ons for asphalt paving (SCC 2461021000) that was added to the final inventory. Minnesota provided revisions to annual CO, NH 3 

### , NOX, PM10-PRI, PM25-PRI, SO 2 

### , and VOC for the following commercial/institutional fossil fuel and wood combustion categories:

SCC SCC Description 2103002000 Stationary Source Fuel Combus tion : Commercial/Institutional : Bituminous/Subbituminous Coal : Total: All Boiler Types 2103004000 Stationary Source Fuel Combustion : Comm ercial/Institutional : Distillate Oil : Total: Boilers and IC Engines 2103005000 Stationary Source Fuel Combustion : Co mmercial/Institutional : Residual Oil : Total: All Boiler Types 2103006000 Stationary Source Fuel Combustion : Co mmercial/Institutional : Natural Gas : Total: Boilers and IC Engines 2103007000 Stationary Source Fuel Combustion : Commercial/Institutional : Liquified Petroleum Gas (LPG) : Total: All Combustor Types 2103008000 Stationary Source Fuel Combustion : Commercial/Institutional : Wood : Total: All Boiler Types 2103011000 Stationary Source Fuel Combustion : Commercial/Institutional : Kerosene : Total: All Combustor Types

c. Oklahoma

Daily VOC emissions for oil and gas explora tion were removed. Oklahoma's area source inventory was taken from the preliminary 2002 NE I except that Oklahoma provided an inventory of annual VOC, NOX, and CO emissions for natu ral gas exploration that replaced the annual emissions from the preliminary NEI (that or iginated from Version 3 of the 1999 NEI). Oklahoma did not provide revisions to the old daily emissions. Given that the old daily emissions were not calculated from the new a nnual emissions supplied by Oklahoma, the daily emissions were removed from the CENRAP inventory.

### 47 d. Texas

Replaced emissions with more recent emissi ons estimates from the 2002 NEI for the following categories:

SCC SCC Description Residential Stationary Source Fuel Combustion 2104002000 Bituminous/Subbituminous Coal / Total: All Combustor Types 2104004000 Distillate Oil / Total: All Combustor Types 2104006000 Natural Gas / Total: All Combustor Types 2104007000 Liquified Petroleum Gas (LPG ) / Total: All Combustor Types 2104008001 Wood / Fireplaces: General 2104008002 Fireplaces: Insert; non-EPA certified 2104008003 Fireplaces: Insert; EPA certified; non-catalytic 2104008004 Fireplaces: Insert; EP A certified; catalytic 2104008010 Woodstoves: General 2104008030 Catalytic Woodstoves: General 2104008050 Non-catalytic Woodstoves: EPA certified 2104011000 Kerosene Combustion

Fugitive Dust from Roads 2294000000 All Paved Roads / Total: Fugitives 2296000000 All Unpaved Roads / Total: Fugitives

Fugitive Dust from Construction 2311010000 Residential / Total 2311020000 Industrial/Commercial/Institutional / Total 2311030000 Highway Construction

Storage and Transport / Petroleu m and Petroleum Product Storage 2501000000 All Storage Types: Breath ing Loss / Total: All Products 2501080050 Airports : Aviation Gasoline / Stage 1: Total 2501080100 Airports : Aviation Gasoline / Stage 2: Total

Open Burning 2610000100 Yard Waste - Leaf Species Unspecified 2610000400 Yard Waste - Brush Species Unspecified 2610000500 Land Clearing Debris 2610030000 Residential / Household Waste

Miscellaneous Area Sources / Ag riculture Production - Crops 2801000000 Cotton Ginning

### 48 e. Agricultural Tilling

The CENRAP-sponsored inventory for fugitive dust emissions from agricultural tilling (SCC 2801000003 - Miscellaneous Area Sources : Agricu lture Production - Crops : Agriculture - Crops : Tilling) was updated on October 27, 2004. However, the timing of the revision was too late to incorporate into the December 8, 2004 draft CENRAP inventory. Therefore, the agricultural tilling emissions we re updated to match those in the revised CENRAP-sponsored inventory for the states that elected to use the CENRAP-sponsored inventory.

f. Open Burning Categories

For the following open burning emissions categori es that originate from the 2002 NEI (Data Source Code = E-02-X), removed CE records where the primary device type for miscellaneous controls (code 099) were associated with unc ontrolled emissions in the emission table.

SCC SCC Description 2610000100 Yard Waste - Leaf Species Unspecified 2610000400 Yard Waste - Brush Species Unspecified 2610000500 Land Clearing Debris 2610030000 Residential / Household Waste

6. QA Review of Final Inventory

Final QA checks were run on the revised data set to ensure that all corrections provided by the S/L/T agencies were incorporated into the S/L/ T inventories and that there were no remaining QA issues that could be addressed during the duration of the project . After exporting the inventory in Oracle to an Access database in NIF 3.0, the EPA’s QA program was run on the Access database and the QA output was reviewed to verify that all QA issues that could be addressed were resolved (EPA, 2004a).

One remaining issue that was not addressed concerns double counting of NH 3 

### emissions in the onroad inventory. The area miscellaneous sour ce inventory for Iowa, Kansas, and Louisiana include NH 3 

### emissions for the following two SCCs that originate from the CENRAP-sponsored NH 3 

### inventory:

SCC SCC Description 2201001000 Mobile Sources / Highway Vehicles - Gasoline / Light Duty Gasoline Vehicles (LDGV) / Total: All Road Types) 2230001000 Mobile Sources / Highway Vehicles - Diesel / Light Duty Diesel Vehicles (LDDV) / Total: All Road Types)

The onroad inventory includes NH 3 

### emissions for these source categories as well. Thus, if the area source inventory is revised in the future, these two SCCs should be removed from the area source inventory. For all three stat es and the two SCCs combined, the NH 3 

### emissions total to 8,735 annual tons. In each of the three states, the light-duty gasoline vehicles category accounts for 24 to 31 percent of the total area miscellaneous inventory for the state, but only 1 to 4 percent

### 49 when compared to total NH 3 

### emissions in the area and area mi scellaneous inventories combined. At the CENRAP-region level, the percentages are less than 1 percent of total NH 3 

### emissions from all sources.

The output file from the EPA’s QA program run on the area source inventory and the area miscellaneous source inventory is provided in an Access 2000 database along with the Access database containing the area and area miscellane ous inventory in NIF 3.0. The following lists the remaining QA issues that were not addr essed during the durati on of this project:

Area Source Inventory

Range Errors: There are 1,418 records in the EM table with emissions that exceed the maximum emissions in the QA program for the specified pollutant.

Lookup Errors: There are 333 records in the PE table and 6,548 records in the EM table with lookup errors. The look-up errors in both the PE and EM tables are associated with units that are not in the NIF 3.0 reference tabl e, but EPA has indicated that the units will be added to the NIF 3.0 reference table.

Area Miscellaneous Source Inventory

Lookup Errors: There are 216,372 records in th e PE table and 199,728 records in the EM table with lookup errors. The look-up errors in both the PE and EM tables are associated with units that are not in the NIF 3.0 referen ce table, but EPA has indicated that the units will be added to the NIF 3.0 reference table.

D. Nonroad Source Inventory Methods

Initially, work on the nonroad inventory was to be limited to the non-NONROAD Model categories for commercial and military aircraft, commercial marine vessel, and railroad locomotives. The CENRAP-sponsored inventory for the NONROAD Model categories was to be used to support air quality modeling and plan ning. However, during the project TX updated its inventory for the NONROAD Model categories an d requested that this inventory be used instead of the CENRAP-sponsored inventory for the NONROAD Model categories. Since Pechan obtained the CENRAP-sponsored invent ory for the NONROAD Model categories to support the preparation of emissions summari es, the CENRAP-sponsored inventory for the NONROAD Model categories in TX was replaced with TX’s NONROAD Model inventory. Then, the inventories for aircraft, commercial marine vessel, and railroad locomotives were added to the NONROAD Model inventory for all S/L agencies to create a consolidated nonroad inventory for CENRAP.

The following discusses the QA that was completed on the inventories for aircraft, commercial marine vessel, and railroad locomotives and e xplains the data sources used to compile the inventories for these non-NONRAOD Model cate gories. QA review of the NONROAD Model inventory was completed under a sepa rate CENRAP-sponsored project.

### 50 1. Data Sources

For each S/L/T inventory submitted to EPA, Table 13 provides a summary of the pollutants included in each inventory, and the number of counties for which data were provided for the aircraft, commercial marine vessel, and railroad locomotive categories. The table also shows the number of counties in the 2002 preliminary NEI fo r the aircraft, commercial marine vessel, and railroad locomotive categories and the number of counties in each state.

AR and TX provided emissions data for all th ree of the non-NONROAD Model categories. For the railroad locomotive category, KS, LA, MN, and MO included NH 3 

### emissions based on Carnegie Mellon University (CMU) model estimates in their inventories. MN also included CAP emissions in the inventory it submitted to EPA.

• The nonroad source inventories obtained from EPA were loaded into Oracle in NIF 3.0 into one data set. Then, the following updates were performed on the consolidated data set, if necessary:

• HAP records were removed since the inve ntory will support regional haze, fine PM, and ozone modeling.

• Pollutant codes were corrected to make them NIF 3.0 compliant (e.g., update PMPRI pollutant code to PM-PRI). Additiona lly, other codes were identified for remediation on a case-by-case basis.

• Records with a submittal flag indicating de letions (submittal_flag = ‘D’ or ‘RD’) were removed from the inventory.

• Null values in the tribal code field were upda ted to ‘000’ since this field is a part of the data key that defines records as unique in all eight NIF tables.

• Added and populated the NIF plus fields list ed in the previous discussion for the area source inventory.

• The CENRAP-sponsored inventory did not co ntain S/L agency contact information in the TR table. In addition, the TR ta ble for the data taken from the preliminary 2002 NEI contained the contact information fo r EPA. Therefore, the TR table was updated to include the contact information th at S/L agencies provided in their area source inventories.51Table 13. Summary of Pollutants and Number ofCounties Included in Nonroad Source InventoriesState/Local/TribalAgencySector CO NH3NOxPM10-PRI PM25-PRI PM10-FIL PM25-FIL PM-CON SO2VOCNumber ofCounties in2002 S/L/TInventoryNumber ofCounties in2002Preliminary NEINumber ofCounties inStateCommercialMarineVessels(CMV)x x x x x x x 27 25 75RailroadLocomotivesx x x x x x x 75 75 75ARAircraft x x x x x x x 68 41 75KS RailroadLocomotivesx 2 105 105LA RailroadLocomotivesx 3 64 64MN RailroadLocomotivesx x x x x x 81 87 97MO RailroadLocomotivesx 2 115 115CMV x x x x x x x x 19 19 254RailroadLocomotivesx x x x x x x 254 254 254TXAircraft x x x x x x x 167 124 254

### 52 2. QA Review

QA review was conducted on the inventories in acco rdance with the QA procedures specified in the QAPP for this project (CENRAP, 2004b). Th e following discusses the QA checks that were completed during preparation of th e consolidated data set.

a. County and SCC Coverage

For the agencies that submitted inventories to EPA, the county coverage in the inventories appeared to be reasonable. However, the NH 3 

### inventories for KS, LA, MN, and MO covered significantly fewer counties than what the preliminary 2002 NEI covered. The differences in the county coverage for NH 3 

### emissions were due to differences in the methods used to prepare the state NH 3 

### inventory and the NEI.

b. Pollutant Coverage

The pollutant coverage in the S/L/T inventories was complete for all pollutants except that MN did not include PM25-PRI emissions for railroad locomotives in its inventory, and TX did not provide NH 3 

### emissions for commercial marine vessels and aircraft in its inventory. MN provided PM25-PRI emissions to fill this data gap. TX did not provide any NH 3 

### emissions for commercial marine vessels or aircraft.

c. Additional QA for the CENRAP Area Source Inventory

The QA procedures discussed previously for the S/L/T area source inventories were applied to the S/L inventories for aircraft, commercial ma rine vessels, and railroad locomotives.

3. Responses from S/L/T Agencies

The nonroad source inventories were revised to incorporate update s from MN and to incorporate TX’s NONROAD Model inventory. No other QA issu es were identified in the state inventories for the non-NONROAD Model categories.

4. Gap Filling and Augmentation

Table 14 provides a summary of the sources of da ta used to prepare the consolidated inventory for aircraft, commercial marine vessels, and ra ilroad locomotives. For commercial marine vessels and railroad locomotives, the CENRAP-s ponsored inventory was used for all states except for AR, MN, and TX who provided their own inventories. Note that the CMU Model NH 3 

### emissions that KS, LA, and MO included in th eir inventory submittals to EPA for railroads were replaced with NH 3 

### emissions in the CENRAP-sponsored inventory.

### 53 Table 14. Summary of Data Sources Used to Prepare the Consolidated Nonroad

Inventory for Aircraft, Commercial Marine Vessels, and Railroad Locomotives

State/Local Agency Source of Inventory Data Notes Commercial and Military Aircraft (SCC 227500xxxx - 227507xxxx)
AR State
IA 2002 NEI KS State State inventory is based on the 2002 NEI
LA 2002 NEI MN State Included in point source inventory
MO 2002 NEI NE - Lancaster County 2002 NEI NE - State 2002 NEI
OK 2002 NEI
TX State Commercial Marine Vessels (SCC 228000xxxx)
AR State IA CENRAP Inventory KS CENRAP Inventory LA CENRAP Inventory
MN State MO CENRAP Inventory NE - Lancaster County CENRAP Inventory NE - State CENRAP Inventory OK CENRAP Inventory
TX State Railroad Locomotives (SCC 2285002006 - 2285002010)
AR State IA CENRAP Inventory KS CENRAP Inventory LA CENRAP Inventory
MN State MO CENRAP Inventory NE - Lancaster County CENRAP Inventory NE - State CENRAP Inventory OK CENRAP Inventory
TX State



### AR, KS, MN, and TX included aircraft emissions in the inventories they submitted to EPA. However, MN included aircraft emissions in its po int source inventory that were included in the point source inventory for CENRAP. KS’ i nventory was based on the aircraft inventory included in the preliminary 2002 NEI. CENRAP did not sponsor development of an inventory for commercial and military aircraft. Therefore, the 2002 NEI was used as the source of aircraft inventory data for the states th at did not provide an inventory for this source category. QA review of PM emissions did not find any missing data after updating MN’s inventory for railroad locomotives. Therefore, no PM augmentation was performed on the nonroad inventories.

### 54 5. Revisions to Address Comments

The nonroad inventory was revised for Minnesota to remove double-counting of emissions for SCC 2265008005 (Mobile Sources / Off-highway Ve hicle Gasoline, 4-Stroke / Airport Ground Support Equipment / Airport Ground Support Equipment). Minnesota included emissions for this SCC in its point source inventory. The nonroad inventory containe d only annual emissions for this SCC, which came from the CENRAP-sponsored nonroad inventory. The annual emissions removed from the nonroad inventory are as follows:

Pollutant Annual Emissions (tons/year) Counties Affected (State and County FIPS code) VOC 8.65 27007, 27037, 27041, 27053, 27091, 27109, 27123, 27137, 27145, 27163 NOX 7.6 27007, 27037, 27041, 27053, 27091, 27109, 27123, 27137, 27145, 27163 CO 212.7 27007, 27037, 27041, 27053, 27091, 27109, 27123, 27137, 27145, 27163 SO 2 0.04 27053 PM10-PRI 0.07 27053 PM25-PRI 0.06 27053 NH 3 0.01 27053



### 6. QA Review of Final Inventory

Final QA checks were run on the revised data set to ensure that all corrections provided by the S/L/T agencies were incorporated into the S/L/ T inventories and that there were no remaining QA issues that could be addressed during the duration of the project . After exporting the inventory in Oracle to an Access database in NIF 3.0, the EPA’s QA program was run on the Access database and the QA output was reviewed to verify that all QA issues that could be addressed were resolved. The QA output is pr ovided in an Access 2000 da tabase along with the Access database containing the inventory in NIF 3.0.

The following lists the remaining QA issues that were not addressed during the duration of this project:

Range Errors: There are 260 records in the EM table with emissions that exceed the maximum emissions in the QA program for the specified pollutant.

Lookup Errors: There are 105,667 records in the EM table with CO 2 

### emissions that caused this error. CO 2 

### is not included in the reference table for valid NIF 3.0 pollutant codes. At the request of CENRAP, CO 2 

### emissions were kept in the inventory.

### 55 E. 2002 CEM Data Methods and Results

1. Introduction

The 2002 CEM data for the entire CENRAP mode ling domain were collect ed and converted to SMOKE and the RPO data exchange protocol format s. A crosswalk file was developed in order to process CEM data for all four quarters of 2002 into the formats required by CENRAP.

CEM data were also compiled for the CENRAP Region for the years 2000, 2001, and 2003. The data for these years were combined with the 2002 CEM data to develop thr ee (3) sets of temporal profiles. The sets of profiles generated includ e seasonal profiles, daily profiles by season, and hourly profiles by season. National Weather Service temperature data that were readily available were analyzed. Recommendations were made on whether or not to generate temporal profiles based on these parameters. Additional recommendations were made on the best approaches for assigning temporal profiles to individual units.

2. Data Sources

The data source for the CEM data for the ye ars 2000 through 2003 is the EPA’s website, specifically the following websites were used fo r acquiring raw data and reports to QA the CEM data:

• http://www.epa.gov/airmarkets/emissions/raw/index.html (Clean Air Markets data)

• http://cfpub.epa.gov/gdm/index.cf m?fuseaction=prepackaged.select (Emissions data and reports)

• http://www.epa.gov/airmarkets/emissions/prelimarp/ (more emissions reports)

The CEM units in the raw data sets were mapped to the appropriate source(s) in the consolidated 2002 point source inventory. We worked togeth er with Pechan and the CENRAP states by soliciting feedback on the CEM un its that we were not able to initially match up with the 2002 inventory. The mapping entailed matching a CEM unit (Office of Regulatory Information Systems [ORIS] ID and unit ID) to the stat e and county FIPS, Plant, Stack, and Segment identifier. The data were formatted into hou r-specific emissions that are readable by the SMOKE modeling system and also in the RPO data exchange format.

CEM data for year 2002 for areas outside of the CENRAP were obtaine d from RPOs and EPA when the data were available. CEM data fo r the Visibility Improvement State and Tribal Association of the Southeast (V ISTAS) states were obtained from the VISTAS RPO via the Alpine Geophysics ftp site (ftp agftp.com). The data consisted of hour-specific CEM data for the year 2002. The other RPOs (Midwest, Wester n Regional Air Partnership [WRAP] and MidAtlantic/Northeast Visibility Union [MANE-VU]) did not have CEM data readily available and/or correct and updated crosswalks for the CEM units for a current year 2002 inventory for their particular region. Only VISTAS met these requirements. The Midwest and MANE-VU RPOs are still generating th eir updated year 2002 point sour ce inventories (SeptemberNovember 2004), therefore updated crosswalks had not been generated. Several RPOs (e.g., Midwest) indicated that they may rely on EPA to create the CEM crosswalk data for their

### 56 particular region. We acquired the raw CEM data for the year 2002 for the entire United States region from EPA (Marc Houyoux). If and when th e crosswalks become available for the other RPOs regions, CENRAP can then use these cros swalk data along with the raw data for the United States to implement hour-specific CEM da ta throughout their entire modeling domain.

Software was generated to process the CEM data for years 2000 through 2003 and generate monthly, weekly, and hourly profiles for each of the four seasons in SMOKE-ready format. National Weather Service temperature data were obtained from the University of California, Riverside (UCAR) website at http://dss.ucar.edu/datasets/ds472.0 . Meteorological data from years 2000-2002 were obtained from UCAR. Plants subject to EPA CEM requirements are not required to report hourly stack flow rates to EPA. We were unable to find a reliable, consistent source of stack flow data that could be used in generating recommendation for temporal profiles for the year 2002.

Table 15 provides a summary of the CEM crosswalk files and documentation acquired for this project.

Table 15. CEM Crosswalk Files and Documentation

Data Source Date acquired or generated Time Period of Data Known deficiencies Year 2000-2003 CEM data for CENRAP states EPA website 27-Aug-04 Year 2000 thru 2003 None known at time of analysis

Year 2000-2003 CEM reports for CENRAP states EPA website 15-Sep-04 Year 2000 thru 2004 None known at time of analysis

2002 point source inventory data in draft format Pechan 19-Aug-04 Year 2002 Updates were received up through the month of Sept 2004.

CEM crosswalk for CENRAP states (final version) UNC-CEP 27-Oct-04 Year 2002 Missing crosswalk data for some CEM units. Used 2002 point source inventory data for mapping information instead of final SMOKE IDA or inventory file used in emissions modeling

VISTAS RPO CEM data Alpine Geophysics 24-Aug-04 Year 2002 None known at time of analysis

Year 2002 CEM data for all United States EPA (Marc Houyoux) 03-Sep-04 Year 2002 None known at time of analysis

NWS 2000-2002 temperature data UCAR 17-Sep-02 Year 2000 thru 2002 None known at time of analysis



### 3. QA Review

Carolina Environmental Program (CEP) analyzed the CEM crosswalk generated to match up CEM units with a source in the 2002 point s ource inventory along with the raw CEM databases to determine which units/sources were not being us ed due to the lack of crosswalk data and/or

### 57 bad or no CEM data. There were data for a tota l of 775 CEM units in the CENRAP states. We informed CENRAP of all CEM units where we l acked sufficient crosswalk data that emitted over 40 tons per year of NO x 

### or SO 2 

### . It was also recommended to CE NRAP that those units that, (1) emitted less than 40 tons per year, and (2) for which no crosswalk record was available, be omitted. A total of 293 units emitted less than less than 40 tons of NO x 

### in year 2002. A total of 570 units emitted less than 40 tons of SO 2 

### in year 2002. Some crosswalk data for these “minoremitting” units were easily obtainable from the 2002 point source inventory. Initial QA review revealed that CEP would most likely be able to map about 500 CEM units (64% of the total number of the units or about 90% of th e total emissions) to the inventory data.

We also compared the CEM data in these raw datasets and versus the reports available at ( http://cfpub.epa.gov/gdm/index.cf m?fuseaction=prepackaged.select and http://www.epa.gov/airmarkets/emissions/prelimarp/ ) to ensure that the data we were going to use to create hour-specific emissions were consistent with th ese reporting tools.

Software was developed to process the CEM data for years 2000 through 2003 to generate monthly, weekly, and hourly profiles for each of the four seasons in SMOKE-ready format. CEP used the same CEM crosswalk created for the 2002 inventory for these years. If the 2002 CEM crosswalk was not able to match up a major-emitting unit from any of the ot her three years, this unit would have been flagged and been brought to CENRAP’s attention. None of these instances were found. It should be noted that this was a te mporal profile analysis ta sk and not a task where SMOKE-ready hour-specific emissions data needed to be created. We spot-checked some of the profiles generated from these raw datasets versus the reports available at EPA websites to ensure that the data reformat proce ss had not introduced any errors.

4. Supplemental Data/Augmentation Procedures

UNC-CEP examined the crosswalks generated at CEP and the raw CEM databases acquired from EPA and determined no changes/augmentations to the raw CEM databases were necessary. We did however inform CENRAP via email on October 12, 2004 of the CEM units we were unable to match to the CENRAP 2002 inventory. We did receive feedback from IA, TX, and MN and were able to create crosswalk records to enable more CEM data to be used for these particular states. If we did not enough informa tion to map a CEM unit to a particular source and we did not receive feedback from CENRAP states , then the emissions data for these CEM units were not used to generate hour-specific emissions data for SMOKE. To help keep track of the changes to the CEM crosswalks and other ancill ary data used for the processing of the CEM data, these data were checked into Concurrent Versions System (CVS).

The year 2000, 2001 and 2003 CEM data were also examined and spot-check comparisons were carried out using the CEM unit reports also availa ble on the EPA website. It was determined that the CEM data did not need any changes/augmentati ons in order to perform the temporal profile analysis.

### 58 5. QA Review of Final Data Set

CEP analyzed the CEM crosswalk generated afte r receiving feedback from the CENRAP states to ensure that only changes made were due to new information received. We also determined again which units/sources were not being used due to the lack of crosswalk data and/or bad or no CEM data. Table 16 lists the CEM units that emitted over 40 tons per year of NO x 

### or SO 2 

### that could not be identified in th e 2002 point source inventory.

Table 16. CEM Units for which Matches to Emission Units could not be Identified in State Inventories

ORISPL ID Plant Name STATE REGION UNITID 2002 SO 2 2002 NOx 000202 Carl Bailey AR 6 01 380.3 147.8
000170 Lake Catherine AR 6 1 0.1 43.5
000170 Lake Catherine AR 6 2 0.1 53.1
000170 Lake Catherine AR 6 3 0.2 52.4
000170 Lake Catherine AR 6 4 3.8 1421.0 055075 Pine Bluff Energy Ce AR 6 CT-1 11.1 228.0
001175 Pella IA 7 CS67 413.7 281.7 055117 R S Cogen LA 6 RS-5 0.7 53.5 055117 R S Cogen LA 6 RS-6 0.6 48.8
002241 C W Burdick NE 7 B-3 0.2 76.3 002291 North Omaha NE 7 CS000A 5,030.0 2661.3 002291 North Omaha NE 7 4 2,604.8 1,530.4 002291 North Omaha NE 7 5 3,874.4 1,916.3
055098 Frontera Power Facil TX 6 1 1.6 87.8
055098 Frontera Power Facil TX 6 2 1.4 76.2 Total 12,323.0 8,678.1



### The CEM data associated with the CEM units in the table above could not be used due to insufficient mapping information. This represents a very small portion of the total emissions emitted in year 2002 by the units in the CENRAP states. According to EPA CEM emissions reports, about 1.50 million tons of SO 2 

### and 0.90 million tons of NO x 

### were emitted by the CEM units in the CENRAP states. In summary, CE P was able to map 567 of the total 775 units (or 73%) to the inventory data. This translated to successfully mapping 1.49 millions tons of SO 2 

### emissions (or 99.3% of the total SO 2 

### emissions) and 0.89 million tons of NOx emissions (or 98.9% of the total NO x 

### emissions). However, it should be noted that the initial mapping was carried out using the draft point source i nventory. During December 2004, the SMOKE IDA inventory files became available to CENRAP. The CENRAP Emissions Modeling contractors began using the SMOKE IDA point source inve ntory with the SMOKE-f ormatted hour-specific data created at UNC-CEP. A few CEM (hour-sp ecific) sources were found to be incorrectly mapped during SMOKE processing and, therefore, the hour-specific data could not be used. UNC-CEP corrected the identification information in the hour-specific data so these sources will be correctly mapped to the SMOKE IDA point source inventory. UNC-CEP delivered a new version of the SMOKE hour-specific file s to CENRAP on January 27, 2005.

### 59 We also carried out spot-checks of the CEM da ta in the raw datasets and the hourly-emissions files generated (SMOKE hour-specific and RPO form atted files) versus the reports available at ( http://cfpub.epa.gov/gdm/index.cf m?fuseaction=prepackaged.select and http://www.epa.gov/airmarkets/emissions/prelimarp/ ) to ensure that the data created were consistent with these reporting tools.

The final version of the SMOKE-ready and RPO form atted hour-specific files for all days in the year 2002 were sent and received at CENRAP on October 28, 2004. The data were sent via CD and also included the VISTAS RPO and EPA CEM data for the year 2002.

6. Temporal Profile Analysis

UNC-CEP obtained year 2000, 2001 and 2003 CEM data from USEPA ( http://cfpub.epa.gov/gdm/index.cf m?fuseaction=prepackaged.select ) and also used the year 2002 CEM data mentioned in section E-1 to develop three (3) sets of temporal profiles for each individual unit. The sets of profiles are seasonal profiles, da ily profiles by season, and hourly profiles by season. This analysis was performe d for units in the CENR AP region that includes the following states: AR, IA, KS, LA, MN, MO, NE, OK, and TX. These profiles could then be used by CENRAP in future emission inventory/modeling applications.

Since emissions preprocessors can now support many thousand different temporal profiles (e.g., SMOKE can handle 99999 different profiles), we pr epared individual boiler emission profiles for each of the CEM units in the states listed above . A total of 568 units were included in the preliminary analysis. At CENRAP’s request , these individual unit emission profiles were prepared based on combined CEM data from y ears 2000, 2001 and 2002. We also included year 2003 CEM data to add more relevant and recent data to the analys is. The emission profiles were all based on the NO x 

### emissions only. There was little difference between the NO x 

### and SO 2 

### profiles, with the exception that a good per centage of number of the units had zero SO 2 

### emissions. We also targeted the analysis on the major-emitting units which was defined as units emitting at least 1 ton of NO x 

### per average day. This limitation allowed us to focus the analysis on the 344 “major-emitting” units (see Table 17). Three sets of individual unit profiles were prepared: emission fractions by month, emission fractions by day of the week, and emission fractions by hour of the day for a weekday, Saturday, Sunday, and weekend (Saturday and Sunday combined). Software was created to genera te these profiles for each of the four seasons in SMOKE-ready format.

### 60 Table 17. Number of Units In Each State Where Temporal Profiles Were Generated

State CEM units
Arkansas 12
Iowa 30
Kansas 21
Louisiana 30
Minnesota 26
Missouri 36
Nebraska 13 Oklahoma 30
Texas 146
Total 344



### For the monthly emission profiles, the NO x 

### emissions were totaled by unit and month. The NO x 

### emissions from each unit for a given month were then divided by the total of the year 2000-2003 NO x 

### emissions from that unit. For the day of w eek profiles, the Gregor ian date for each hourly CEM data record was converted to the correspon ding Julian date. Then, I/OAPI libraries were used to assign day of the week (Monday, Tues day, etc.) based on the Julian date. Next, NO x 

### emissions were totaled by day of the week for each unit. The NO x 

### emission totals at a given unit for each day of the week were normalized by dividing by the sum of the year 2000 through 2003 NO x 

### emission total for that unit. Similarly, NO x 

### emissions were totaled by hour and unit for all weekdays, Saturdays, Sundays and weekend days . The hourly profiles were also normalized by dividing by the sum of each hour for each particular day of interest for the 4-year CEM dataset. All profiles were based on local st andard time data. This normalization technique was carried out for each of the four seasons (winter, spring, summer and fall) were the seasons were defined as follows:

• Winter–January, February; and March • Spring–April, May and June • Summer–July, August and September • Fall– October, November and December

Previous CEM/temporal analysis studies (Pechan, 2003) have strive d to generate a small set of temporal profiles to use for all units over a certain geographical ar ea. While this is possible for this task, we recommend the profiles for the indi vidual units be used. Each unit has many factors that effect temporal allocation of emissions in cluding geographical region, seasonal demands and controls, population and technology changes, costs, a nd variations in weather from year to year. Emissions preprocessors can handle thousands of different profiles, therefore we recommend that these various factors be cap tured using the profiles for the individual units.

Figures 1 and 2 give examples of the monthl y profiles generated from the 2000-2003 CEM data for the states of AR and NE. Figure 3 is an example of the weekly profiles generated for Arkansas for all four seasons. Figures 4 and 5 give example hourly profiles for Big Brown unit #1, TX and Dolet Hills unit #1, LA respectively. These are just samples of the numerous profiles

### 61 generated. All profiles delivered to CENRAP can easily be displayed by importing to MS Excel or other spreadsheet software.

National Weather Service temperature da ta were also obtained from UCAR ( http://dss.ucar.edu/datasets/ds472.0/ ) for the time period of year 2000-2003. UNC-CEP continues to carry out the analysis of this data in order to determine its usefulness and/or its ability to provide better profile data than th e individual unit profiles. We will provide our feedback on this analysis in the next version of this report. UNC-CEP also searched for reliable hourly stack flow databases. H ourly stack flow is not a requir ed element to be reported to USEPA. Therefore, we did not find it on USEPA websites. We were also unable to find an hourly stack flow database that covered th e desired years and region of interest.

F. Temporal, Speciation, and Spa tial Allocation Profiles

1. Temporal Profiles for Point, Area, and Nonroad Sources

a. Data Sources (e.g., CEM)

CEP obtained the best available temporal prof ile data for emissions modeling from EPA (see also http://www.epa.gov/ttn/chief/emch/temporal/index.html ), RPOs (e.g., MANE-VU), and other source-specific reports/databases (e.g., CEM da ta). A similar review of temporal profiles for the MANE-VU RPO and the EPA yielded the tem poral profiles to be used in the review of the CENRAP emissions inventory dataset. This subsection describes the profile databases used for each component of the CENRAP emission inventory.

Point Sources

A similar review was carried out using the latest temporal profile data set acquired from EPA on the MANE-VU inventory. Additional profiles we re added during this review to support MANEVU state- or county-specific poi nt sources. We began the CE NRAP review using the product (temporal profiles) of this MANE-VU EI review.

Additionally, the CEM data for the years 2000, 2001, 2002 and 2003 were used to come up with 4-year average temporal profiles for each major em itting unit (see also section E of this report). The CEM data were acquired from the following EPA website: http://cfpub.epa.gov/gdm/index.cf m?fuseaction=prepackaged.select

.
The CENRAP emissions inventory was provided to us by Pechan in NIF 3.0. Additional data acquired from Pechan included periodic updates to the CENRAP inventory and complete listing of the SCCs in the inventory databases.

### 62 Figure 1. Arkansas CEM unit monthl y profiles based on year 2000-2003 data

.

0 0.05

0.1 0.15

0.2 0.25

0.3 0.35

0.4 0.45JANFEBMARAPRMAYJUNJULAUGSEPOCTNOVDEC Cecil Lynch3

Lake Catherine4

Robert E Ritchie1

Robert E Ritchie2 Carl Bailey1

McClellan1

White Bluff1

White Bluff2

Flint Creek Power1 Independence1 Independence2 Pine Bluff EnergyCT-1



### Figure 2. Nebraska CEM unit monthl y profiles based on year 2000-2003 data

.



## 0 0.02 0.04 0.06 0.08

0.1 0.12 0.14

JAN M AR MAY JUL SEP NOV Platte1

Gerald Whelan Energy Center1

Lon D Wright Pow er Plant8

Sheldon1

Sheldon2

North Omaha1

North Omaha2

North Omaha3

North Omaha4

North Omaha5

Gerald Gentleman Station1

Gerald Gentleman Station2

Nebraska City163Figure 3. Arkansas weekly profiles for (a) winter, (b)spring, (c) summer and (d) autumn using the 2000-2003 data.(a) (b)00.050.10.150.20.25 M ON TUE W E D THU FRI SAT SUNLake Catherine4Robert E Ritchie1Robert E Ritchie2Carl Bailey1McClellan1White Bluff1White Bluff2Flint Creek Power1Independence1Independence2Pine Bluff EnergyCT-100.050.10.150.20.250.3 MON TU E WE D TH U FRI S AT S U NCecil Lynch3Lake Catherine4Robert E Ritchie1Robert E Ritchie2McClellan1White Bluff1White Bluff2Flint Creek Power1Independence1Independence2Pine Bluff EnergyCT-1(c) (d)00.050.10.150.20.25 MON TUE WED THU F RI SA T SU NLake Catherine4Robert E Ritchie1Robert E Ritchie2Thomas Fitzhugh1Carl Bailey1McClellan1White Bluff1White Bluff2Flint Creek Power Plant1Independence1Independence200.050.10.150.20.25 M O N T U E W E D T H U F R I S A T S U NLake Catherine4Robert E Ritchie2Carl Bailey1McClellan1White Bluff1White Bluff2Flint Creek Power Plant1Independence1Independence2

### 64 Figure 4. Big Brown Unit 1, Texas hour ly profiles for winter for 2000-2003 data

.



## 0.03 0.035

0.04 0.045

0.05

1 4 7 10 13 16 19 22 Big Brown1_wkday

Big Brown1_wkend

Big Brown1_Sat

Big Brown1_Sun



### Figure 5. Dolet Hills Unit 1, Louisiana hourly profiles for autumn for 2000-2003 data

.



## 0.03 0.032 0.034 0.036 0.038

0.04 0.042 0.044 0.046

1 4 7 10 13 16 19 22 Dolet Hills1_wkday

Dolet Hills1_wkend

Dolet Hills1_Sat

Dolet Hills1_Sun

### 65 Area and Nonroad Sources

A similar review was carried out using the latest temporal profile data set acquired from EPA on the MANE-VU inventory. Additional profiles we re added during this review to support MANEVU state- or county-specific ar ea and nonroad sources. We began the CENRAP review using the product (temporal profiles) of this MANE-VU EI review.

Additionally, we used the final re port (STI, 2003) generated for NH 3 

### emissions inventories to aide in the coming up with applicable temporal profiles for use with the CENRAP emissions inventory.

b. Supplemental Data/Augmentation Procedures

A cross-reference table is necessary in order to appropriately apply the de sired temporal profile to a certain emission source. This assignment or cross-reference is typically made by SCC, but can also be made for a specific FIPS-SCC combination or all SCCs in a FIPS region combination. For point sources, emissions modele rs can also assign a specific temporal profile by a specific unit, stack, and/or f acility identification. We conducted the review of CENRAP emissions inventory using the most recent temporal cross-reference table available that was the table generated during the MANE-VU review.

CEP identified SCCs that did not have a specific temporal profile assigned in the temporal crossreferences file used in recent EPA and RPO a pplications. CEP created a new temporal crossreference to an existing profile in the defau lt SMOKE profiles for SCCs in the CENRAP; the cross-reference did not previously exist in the cross-reference file used at the beginning of the review (see Data Sources secti on) but the profile did exist.

All of the improvements to the SMOKE temporal cross-reference file and profiles that are summarized in this memo are included in the files amptref.m3.cenrap.102804.txt and amptpro.m3.us+can.cenrap.102804.txt , which were included as an electronic docket and delivered on October 28, 2004.

Table 18 summarizes the updates to entries in the default SMOKE cr oss-reference file for point sources and Table 19 for area/nonroad sources. The commonly assigned monthly profile is monthly profiles is 262 = uniform monthly. The most common weekly profiles are 7 = ‘uniform emissions throughout the week’ weekly and 5 = ‘emit weekdays only’ profile. The most common diurnal profiles are 12 = 12 hours per day during daylight hours and 26= maximum middle of the day; minimum early in morning. See the amptpro.m3.us+can.cenrap.102804.txt file for specific definitions of each profile.

These changes to the temporal cross-reference file have allowed us to apply a non-flat temporal profile (262= uniform monthly, 7=uniform weekly and 24=unifor m diurnal) to ~90% of the SCCs in the point source inventory and ~95% of the SCCs in the area/nonroad source inventory. This is the best we could do with the information available to us at the time of the analysis.66Table 18. New TemporalProfile Assignments for CENRAP Point Source SCCsState SCCRecommended Monthly,Weekly, and DiurnalProfilesMethod ofAssignment SCC DescriptionMN 30500245 262 7 6 30500242 Industrial Processes;Mineral Products;Asphalt Concrete;Mixers: Drum MixProcess ** (use 3-05-002-005 and subtypes)MN 30500246 262 7 6 30500242 Industrial Processes;Mineral Products;Asphalt Concrete;Mixers: Drum MixProcess ** (use 3-05-002-005 and subtypes)MN 30500247 262 7 6 30500242 Industrial Processes;Mineral Products;Asphalt Concrete;Mixers: Drum MixProcess ** (use 3-05-002-005 and subtypes)67Table 19. New TemporalProfile Assignments for CENRAP Area Source SCCsSCC Description Month Week DiurnalRecommendationBased on ProfileData for SCCDescription of Similar SCC used toRecommend Profiles2310001000 Industrial Processes;Oil and GasProduction: SIC 13;All Processes : Onshore;Total: All Processes262 7 26 2310000000 Industrial Processes;Oil and GasProduction: SIC 13;AllProcesses;Total: All Processes2310002000 Industrial Processes;Oil and GasProduction: SIC 13;All Processes : Offshore;Total: All Processes262 7 26 2310000000 Industrial Processes;Oil and GasProduction: SIC 13;AllProcesses;Total: All Processes2461870999 Solvent Utilization;Miscellaneous Nonindustrial: Commercial;PesticideApplication: Non-Agricultural;NotElsewhere Classified258 7 26 2461800000 Solvent Utilization;MiscellaneousNon-industrial: Commercial;PesticideApplication: All Processes;Total: AllSolvent Types2805009200 Miscellaneous Area Sources;AgricultureProduction - Livestock;Poultry production- broilers;Manure handling and storage1500 7 26 2805009300 Miscellaneous AreaSources;Agriculture Production -Livestock;Poultry production -broilers;Land application of manure2805021100 Miscellaneous Area Sources;AgricultureProduction - Livestock;Dairy cattle -scrape dairy;Confinement1500 7 26 2805021300 Miscellaneous AreaSources;Agriculture Production -Livestock;Dairy cattle - scrapedairy;Land application of manure2805021200 Miscellaneous Area Sources;AgricultureProduction - Livestock;Dairy cattle -scrape dairy;Manure handling andstorage1500 7 26 2805021300 Miscellaneous AreaSources;Agriculture Production -Livestock;Dairy cattle - scrapedairy;Land application of manure2805023100 Miscellaneous Area Sources;AgricultureProduction - Livestock;Dairy cattle -drylot/pasture dairy;Confinement1500 7 26 2805023300 Miscellaneous AreaSources;Agriculture Production -Livestock;Dairy cattle - drylot/pasturedairy;Land application of manure2805023200 Miscellaneous Area Sources;AgricultureProduction - Livestock;Dairy cattle -drylot/pasture dairy;Manure handling andstorage1500 7 26 2805023300 Miscellaneous AreaSources;Agriculture Production -Livestock;Dairy cattle - drylot/pasturedairy;Land application of manure2810020000 Miscellaneous Area Sources;OtherCombustion;Prescribed Burning ofRangeland;Total3 11 13 2810015000 Miscellaneous Area Sources;OtherCombustion;Prescribed Burning forForest Management;Total

### 68 We will augment the temporal profiles and cros s-references delivered on Oct 28, 2004 with NH 3 

### - specific temporal profiles us ing the STI final report on NH 3 

### sources. This will include monthly profiles for Texas and Arkansas a nd diurnal profiles for all stat es for applicable SCCs. The delivery of these profiles/cross-re ferences is scheduled for early January 2005. The temporal profiles for each major emitting CEM unit based on a 4-year average (data from 2000 through 2003) were also delivered to CENRAP in January 2005.

2. Speciation Profiles for Point, Area, and Nonroad Sources

a. Data Sources

CEP obtained the best available speciation profile data for emissions modeling from EPA for the CB-IV with PM mechanism (see also http://www.epa.gov/ttn/chief/ emch/speciation/index.html ). The CENRAP emissions inventory was provided to us by Pechan in the NIF 3.0. Additional data acquired from Pechan included periodic updates to the CENRAP EI and complete listing of the SCCs in the inventory databases.

b. Supplemental Data/Augmentation Procedures

A cross-reference table is necessary in order to appropriately apply the de sired speciation profile to a certain emission source. This assignment or cross-reference is typically made by SCC, but can also be made for a specific FIPS-SCC combination or all SCCs in a FIPS region combination. For point sources, emissions modele rs can also assign a specific temporal profile by a specific unit, stack, and/or f acility identification. We conducted the review of CENRAP emissions inventory using the most recent specia tion cross-reference table available which was the table generated during the MANE-VU review.

Several SCCs in the CENRAP EI did not have chemical speciation profile assignments for the CB-IV with PM mechanism in the default SMOKE chemical cross-reference file. CEP added assignments for VOC speciation for the SCCs lis ted in Table 20 (area/nonroad sources) and Table 21 (point sources) to the speciation cross-reference file for compatibility with the CENRAP EI. The recommendations for these assi gnments are based on the speciation profile codes assigned to similar SCCs. We attempted to match the SCCs as accurately as possible, i.e. we looked for the closest SCC possible to s upplement the missing assignment. The new chemical profile assignments were added to the file gsref.cmaq.cb4p25.cenrap.102804.txt. We did not make any changes to the speciation profiles file.

Please note that we understand that Pechan wi ll soon be delivering some new PM and VOC profiles to EPA that are being incorporated into SPECIATE. Since some of these will have important implications for regional haze modeling, CENRAP may want to consider having these included in the modeling inventory. These profil es would take additional effort not already in the planned scope of work to implement. Some of the more importan t profiles will cover:

• Commercial Cooking (PM and VOC);

• Distillate and Natural Gas Fired Boilers (PM);

• Paved and Unpaved Road Dust;

### 69 • Motor Vehicle Exhaust/Tire Wear/Brake Wear; and

• Wildfires/Prescribed Burns.

Table 20. VOC Speciation Profil es Assigned to Area Source SCCs

SCC Description VOC Recommendation Based on Profile

Data for SCC Description of Similar SCCs used to Recommend Profiles 2310001000 Industrial Processes;Oil and Gas Production: SIC 13;All Processes : On-shore;Total: All Processes 9015 2310000000 Industrial Processes;Oil and Gas Production: SIC 13;All Processes;Total: All Processes 2310002000 Industrial Processes;Oil and Gas Production: SIC 13;All Processes : Off-shore;Total: All Processes 9015 2310000000 Industrial Processes;Oil and Gas Production: SIC 13;All Processes;Total: All Processes 2461870999 SolventUtilization;Miscellaneous Nonindustrial: Commercial;PesticideApplication: NonAgricultural;Not Elsewhere Classified 0076 2461850000 Solvent Utilization;Miscellaneous Non-industrial: Commercial;Pesticide Application: Agricultural;All Processes 2810020000 Miscellaneous Area Sources;Other Combustion;Prescribed Burning of Rangeland;Total 0307 2810015000 Miscellaneous Area Sources;Other Combustion;Prescribed Burning for Forest Management;Total



### Table 21. VOC Speciation Profiles Assigned to Point Source SCCs

State SCC Recommended Profiles

VOC Method of Assignment SCC Description (Complete Description not Always Available) MN 30500245 0025 Use SCC=3050024X profiles Industrial Processes;Mineral Products;Asphalt Concrete;Batch Mix Plant: Hot Elevators, Screens, Bins, Mixer & NG Rot Dryer MN 30500246 0025 Use SCC=3050024X profiles Industrial Processes;Mineral Products;Asphalt Concrete;Batch Mix Plant: Hot Elevators, Screens, Bins, Mixer& #2 Oil Rot Dryer MN 30500247 0025 Use SCC=3050024X profiles Industrial Processes;Mineral Products;Asphalt Concrete;Batch Mix Plant: Hot Elevs, Scrns, Bins, Mixer& Waste/Drain/#6 Oil Rot



### 3. Spatial Allocation Profiles for Area and Nonroad Sources

a. Data Sources

CEP obtained the best available spatial profile data for emissions modeling from EPA for the geographical area covered by the CENRAP 36-kilometer modeling domain ( http://www.epa.gov/ttn/chief/ emch/spatial/newsurrogate.html ). A detailed description of this surrogate dataset is available at: http://www.epa.gov/ttn/chief/emch/spatia l/new/surrogate_documentation_workbook052804.xls

.

### 70 The CENRAP emissions inventory was provided to us by Pechan in the NIF 3.0. Additional data acquired from Pechan included periodic updates to the CENRAP EI and complete listing of the SCCs in the inventory databases.

b. Supplemental Data/Augmentation Procedures

A cross-reference table is necessary in order to appropriately apply the de sired spatial allocation profile to a certain emission source. This assi gnment or cross-reference is typically made by SCC, but can also be made for a specific FI PS-SCC combination or all SCCs in a FIPS region combination. We conducted the review of CENR AP emissions inventory using the most recent speciation cross-reference table available whic h was the table genera ted during the MANE-VU review.

Several SCCs in the CENRAP area source EI did not have surrogate assignments in the default SMOKE gridding cross-reference file. These S CCs would be assigned the default surrogate which is population when spatially allocating em issions in emissions processing applications. CEP added spatial profile assignments for the SCCs listed in Table 22 to the gridding crossreference file for compatibility with the CENRAP EI. The recommendations for these assignments are based on matching surrogate descriptions from the EPA surrogate data descriptions (see http://www.epa.gov/ttn/chief/emch/spatia l/new/surrogate_documentation_workbook052804.xls ) with the SCC descriptions. The new surrogate assignments were added to the file amgref.m3.us+can+mex.cenrap.102804.txt and included as part of the electronic docket delivered on October 28, 2004. CENRAP contract ors already have a surrogate dataset for the 36-kilometer modeling domain using the EPA surrogate database. We are awaiting final definition of the CENRAP 12-kilometer domain( s) before delivering spatial surrogates to CENRAP.

Table 22. Surrogate profiles assi gned to SCCs to support CENRAP EI

SCC Description Surrogate profile Surrogate Description 2310001000 Industrial Processes;Oil and Gas Production: SIC 13;All Processes : On-shore;Total: All Processes 585 Metals and Minerals Industrial (IND4)

2310002000 Industrial Processes;Oil and Gas Production: SIC 13;All Processes : Off-shore;Total: All Processes 585 Metals and Minerals Industrial (IND4)

2311000000 Industrial Processes;Construction: SIC 15 - 17;All Processes;Total 140 Housing Change and Population2461022999 Solvent Utilization;Miscellaneous Nonindustrial: Commercial;Emulsified Asphalt;Solvents: NEC 140 Housing Change and Population

2461870999 Solvent Utilization;Miscellaneous Nonindustrial: Commercial;Pesticide Application: Non-Agricultural;Not Elsewhere Classified 515 Commercial plus Institutional Land

2535010000 Storage and Transport;Bulk Materials Transport;Rail Car;Total: All Products 260 Total Railroad Miles

2810040000 Miscellaneous Area Sources;Other Combustion;Aircraft/Rocke t Engine Firing and Testing;Total 700 Airport Area

### 71 4. QA Review of Final Data Sets

Table 23 lists the spatial, temporal and speciati on allocation profiles and cross-reference tables, technical memoranda and other ancillary data delivered to CENRAP on October 28, 2004. Table 24 lists the sources and other attributes of the ancillary data collected and reviewed including the temporal profiles generated using the CEM data for years 2000-2003. All of the data files were QA reviewed twice by ensuring th at no default profiles are being used and the data are in the correct format for use in the emissions models. The following data may be updated in early 2005 to incorporate more recent information:

• NH 3 

### temporal profile updates

• Spatial surrogates for the 12- kilometer modeling domain(s) once defined by CENRAP

• 4-year average temporal profiles for each major emitting CEM unit

These data will also be quality assured in a similar manner (no default profiles being used, correct format, etc.). Most of the data presente d in this section have been delivered with a few additional data sets to be delivered in January 2005. These additional data sets are mentioned in this section. The next versi on of this report will include any necessary documentation associated with the supplemental deliverables.

Table 23. Spatial, Temporal and Sp eciation Allocation Data and Memos

Bytes Date Created Time Created Filename 90209 10/28/2004 10:55 task8_final/amgre f.m3.us+can+mex.cenrap.102804.txt 115493 10/28/2004 10:55 task8_final/amp tpro.m3.us+can.cenrap.102804.txt 650073 10/28/2004 10:55 task8_final/a mptref.m3.cenrap.102804.txt

75776 10/28/2004 10:54 task8_final/CENRAP_Ar eaEI_profile_review_task8_final.doc 135810 10/28/2004 10:55 task8_final/CENRAP_Ar eaEI_profile_review_task8_final.pdf

48640 10/28/2004 10:54 task8_final/CENRAP_Po intEI_profile_review_task8_final.doc 146830 10/28/2004 10:55 task8_final/CENRAP_Po intEI_profile_revie w_task8_final.pdf 142013 9/16/2004 18:14 task8_fi nal/gspro.cmaq.cb4p25.txt 754816 10/28/2004 10:55 task8_final/gsr ef.cmaq.cb4p25.cenrap.102804.txt 501 10/28/2004 10:56 task8_final/README.txt 1324273 9/16/2004 18:13 task 8_final/scc_desc.txt72Table 24. Ancillary Data DescriptionsFile Name Purpose Format Source Possible DeficienciesDateDeliveredamgref.m3.us+can+mex.cenrap.102804.txt Spatial profile crossreferenceSMOKE USEPA, MANE-VU andother reviews/applicationsNH3 specific surrogates couldbe developed using landusedatabases like BELD328-Oct-04amptpro.m3.us+can.cenrap.102804.txt Temporal profiles SMOKE USEPA, MANE-VU andother reviews/applications.NH3 specific temporal profileswill be added soon28-Oct-04amptref.m3.cenrap.102804.txt Temporal profile crossreferenceSMOKE USEPA, MANE-VU andother reviews/applicationsNH3 specific temporal profileswill be added soon28-Oct-04gspro.cmaq.cb4p25.txt Speciation profiles forCB-IV with PMSMOKE USEPA: SMOKE v2 release SPECIATE 4 data could beavailable soon28-Oct-04gsref.cmaq.cb4p25.cenrap.102804.txt Speciation crossreferences for CB-IV withPMSMOKE USEPA, MANE-VU andother reviews/applicationsSPECIATE 4 data could beavailable soon28-Oct-04scc_desc.txt SCC description SMOKE USEPA: SMOKE v2 release Could be missing some SCCdescriptions28-Oct-04amgref.m3.us+can+mex.cenrap.102804.rpo Spatial profile crossreferenceRPO USEPA, MANE-VU andother reviews/applicationsNH3 specific surrogates couldbe developed using landusedatabases like BELD3Coming soonamptpro.m3.us+can.cenrap.102804.rpo Temporal profiles RPO USEPA, MANE-VU andother reviews/applications.NH3 specific temporal profileswill be added soonComing soonamptref.m3.cenrap.102804.rpo Temporal profile crossreferenceRPO USEPA, MANE-VU andother reviews/applicationsNH3 specific temporal profileswill be added soonComing soongspro.cmaq.cb4p25.rpo Speciation profiles forCB-IV with PMRPO USEPA: SMOKE v2 release SPECIATE 4 data could beavailable soonComing soongsref.cmaq.cb4p25.cenrap.102804.rpo Speciation crossreferences for CB-IV withPMRPO USEPA, MANE-VU andother reviews/applicationsSPECIATE 4 data could beavailable soonComing soonptpro.cem_winter.cenrap.2000-03.txt Temporal profiles forCEM unitsSMOKE http://cfpub.epa.gov/gdm/index.cfm?fuseaction=prepackaged.selectBased on 4 yr (2000-2003)average profilesComing soonptpro.cem_spring.cenrap.2000-03.txt Temporal profiles forCEM unitsSMOKE http://cfpub.epa.gov/gdm/index.cfm?fuseaction=prepackaged.selectBased on 4 yr (2000-2003)average profilesComing soonptpro.cem_summer.cenrap.2000-03.txt Temporal profiles forCEM unitsSMOKE http://cfpub.epa.gov/gdm/index.cfm?fuseaction=prepackaged.selectBased on 4 yr (2000-2003)average profilesComing soonptpro.cem_autumn.cenrap.2000-03.txt Temporal profiles forCEM unitsSMOKE http://cfpub.epa.gov/gdm/index.cfm?fuseaction=prepackaged.selectBased on 4 yr (2000-2003)average profilesComing soon

### 73 G. Preparation of SMOKE/IDA and RPO Data Exchange Protocol (NIF 3.0) Formats

This section describes the inve ntory and SMOKE emission proce ssor files prepared under this project. The Excel Workbook file named “CENRAP Inventory File Documentation _030405.xls” provides the names of th e files delivered, as well as other file information useful for transferring data to air quality modeling center s. This Excel Workbook file is provided along with this report. The following Table 25 provides a summary of the files delivered.

The ancillary data (described in section F) that are necessary input for emissions preprocessors have been formatted for use in SMOKE and in the RPO Data Exchange Protocol format. Table 26 lists the profiles, cross-reference tables, and other ancillary data (SCC descriptions) that have been provided to CENRAP. The data ha ve undergone a review which is described in section F and in technical memoranda sent to CENRAP on October 28, 2004.74Table 25. Summary of Mass Emissions and SMOKE Input FilesS/L/T Agencies Includedin FilesNIF 3.0 File NameContaining MassEmissions Inventory(Access 2000 DatabaseFiles)Temporal Period ofMass EmissionsInventory SMOKE/IDA File NameTemporal Period ofEmissions inSMOKE/IDA File NotesPoint Source InventoryAR, IA, KS, LA, MN, MO,NE, OK, TX, Local, andTribalCENRAP_2002_Point_021605.mdbAnnual CENRAP_POINT_SMOKE_INPUT_ANNUAL_DAILY_021805.txtAnnual for all agencies;Daily for MO and TXIncludes all sectors supplied by S/L/T agencies.Tribal inventory is for Fond du Lac Band of theMinnesota Chippewa Tribe. Local inventoriesinclude Lancaster County (Lincoln) and DouglasCounty (Omaha), NEMO and TX CENRAP_2002_Point_Daily_Missouri_Texas_20050216.mdbDaily CENRAP_POINT_SMOKE_INPUT_ANNUAL_DAILY_021805.txt“ Daily emissions for MO and TX are included inthe SMOKE/IDA file containing annual emissionsfor all CENRAP agencies, but placed in a NIF 3.0file separate from the NIF 3.0 file containing theannual emissions.Nonroad Source InventoryAR, IA, KS, LA, MN, MO,NE, OK, TXCENRAP_2002_Nonroad_030305.mdbAnnual and Daily CENRAP_NONROAD_SMOKE_INPUT_ANN_STATE_030405.txtAnnual Includes NONROAD Model Categories andAircraft, Commercial Marine Vessels, andRailroad Locomotives. NONROAD Modelinventory is from CENRAP-sponsored inventoryexcept for TX who supplied its own NONROADModel Inventory. MN included commercial andmilitary aircraft and auxiliary power units in itspoint source inventory; therefore, the nonroadinventory does not contain emissions for thesecategories in MN.Area Source InventoryAR, IA, KS, LA, MN, MO,NE, OK, TXCENRAP_2002_Area_022205.mdbAnnual, Daily, andMonthlyCENRAP_AREA_SMOKE_INPUT_ANN_STATE_022205.txtAnnual Includes all sectors except for those included inthe Area Misc files. Planned burning emissionsfrom CENRAP-sponsored area source inventoryare excluded for IA, KS, LA, MN, MO, OK, andNE (except for Lancaster County [FIPS 31109]);the SMOKE files for the CENRAP plannedburning inventory will be used for these states.IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_JAN_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_FEB_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_MAR_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).Table 25 (continued)75S/L/T Agencies Includedin FilesNIF 3.0 File NameContaining MassEmissions Inventory(Access 2000 DatabaseFiles)Temporal Period ofMass EmissionsInventory SMOKE/IDA File NameTemporal Period ofEmissions inSMOKE/IDA File NotesArea Source Inventory (continued)IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_APR_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_MAY_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_JUN_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_JUL_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_AUG_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_SEP_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_OCT_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_NOV_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_SMOKE_INPUT_NH3_MONTH_DEC_120304.txtMonthly Emissions x 12 All sectors except for those included in the AreaMisc files. Monthly emissions are multiplied by12 (months).Fond du Lac Band of theMinnesota ChippewaTribe“ “ CENRAP_AREA_SMOKE_INPUT_ANN_TRIBE_120704.txtAnnual Includes emissionsfor the paved and unpavedroad and prescribed burning area sourcecategories.AR, TX, and LancasterCounty, NE“ “ CENRAP_AREA_BURNING_SMOKE_INPUT_ANN_TX_AR_NELI_120704.txtAnnual Includes state and local prepared plannedburning emissions. SMOKE input files for areasource planned burning emissions for all otherstates are availablefrom CENRAP-sponsoredinventory.Table 25 (continued)76S/L/T Agencies Includedin FilesNIF 3.0 File NameContaining MassEmissions Inventory(Access 2000 DatabaseFiles)Temporal Period ofMass EmissionsInventory SMOKE/IDA File NameTemporal Period ofEmissions inSMOKE/IDA File NotesArea Miscellaneous Source InventoryAR, IA, KS, LA, MN, MO,NE, OK, TXCENRAP_2002_Area_Misc_120804.mdbAnnual, Daily, andMonthlyCENRAP_AREA_MISC_SMOKE_INPUT_ANN_STATE_120704.txtAnnual Natural Sources and Two On-road Mobile SCCsfrom CMU ModelIA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_JAN_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_FEB_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_MAR_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_APR_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_MAY_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_JUN_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_JUL_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_AUG_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_SEP_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_OCT_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ “ CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_NOV_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).IA, KS, LA, MN, MO, NE,OK“ ” CENRAP_AREA_MISC_SMOKE_INPUT_NH3_MONTH_DEC_120304.txtMonthly Emissions x 12 Natural Sources and Two On-road Mobile SCCsfrom CMU Model. Monthly emissions aremultiplied by 12 (months).

### 77 Table 26. Profiles, Cross-Re ference Tables, and Other An cillary Data Provided to

CENRAP that can be used with Emissi ons Preprocessors/Models (e.g. SMOKE, CONCEPT)

Filename Purpose Format 1 amgref.m3.us+can+mex.cenrap.102804.txt S patial profile cross-reference SMOKE amptpro.m3.us+can.c enrap.102804.txt Temporal profiles SMOKE amptref.m3.cenrap.102804.txt Temporal profile cross-reference SMOKE gspro.cmaq.cb4p25.txt Speciation profiles for CB-IV with PM SMOKE gsref.cmaq.cb4p25.cenrap.102804.txt Speciation cr oss-references for CB-IV with PM SMOKE scc_desc.txt SCC description SMOKE amgref.m3.us+can+mex.cenrap.102804.rpo S patial profile cross-reference RPO amptpro.m3.us+can.c enrap.102804.rpo Temporal profiles RPO amptref.m3.cenrap.102804.rpo Temporal profile cross-reference RPO gspro.cmaq.cb4p25.rpo Speciation profiles for CB-IV with PM RPO gsref.cmaq.cb4p25.cenrap.102804.rpo Speciation cross-references for CB-IV with PM RPO

1 RPO = Regional Planning Organization (PRO) Data Exchange Protocol.

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### 79 III. SUMMARIES OF EMISSIONS INVENTORIES FOR THE CENRAP REGION

Summaries of emissions were prepared from the emission inventory files for each sector and for all sectors combined. The summaries are provided in an Access 2000 database named “CENRAP Emission Summaries_030805.mdb”. Table 27 identifies and briefly describes the contents of the emissions summary tables includ ed in the database. The nonroad source sector summaries include emissions for aircraft, commerc ial marine vessels, and locomotives as well as the emissions from the NONROAD model categorie s. The onroad summaries were prepared from the CENRAP-sponsored inventory for onroa d sources. Tables 1G, 2C, 3C, 4C, and 5C include the data source code fo r the area, point, nonroad, and onroad sectors to assist in identifying the origin and year of emissions inve ntory data. The data source codes were defined previously in Chapter II of this report.

The summaries in Appendix A of this report ar e taken from the emissions summary Table 2D. However, emissions summary Table 2D includes natural sources/biogenic NH 3 

### emissions and geogenic PM10-PRI and PM25-PRI emissions. The biogenic and geogenic emissions were excluded from the summary tables included in Chap ter I of the report. Thus, the biogenic and geogenic emissions were excluded from the NH 3 

### and PM10-PRI and PM25-PRI summaries in Appendix A so that the total emissions in the Appendix A summaries match the total emissions in the summaries in Chapter I of the report.

Table 27. Emissions Summaries

Summary Table Name Description All Sector Summaries Table 1A_All Sectors Summary of Annual Emissi ons by Pollutant and Sector for the CENRAP Region Table 1B_All Sectors Summary of Annual Em issions by State FI PS/Tribal Code/State Name/Tribal Name/Pollutant and Sector Table 1C_All Sectors Summary of Annual Em issions by State FI PS/Tribal Code/State Name/Tribal Name/County FIPS/County Name/Pollutant and Sector Table 1D_All Sectors Summary of Annual Emissions by Category/Sector and Pollutant for the CENRAP Region Table 1E_All Sectors Summary of Annual Em issions by State FI PS/Tribal Code/State Name/Tribal Name/ Source Category Name and Number/Sector and Pollutant Table 1F_All Sectors Summary of Annual Em issions by State FI PS/Tribal Code/State Name/Tribal Name/County FIPS/County Name/Source Category Name and Number/Sector and Pollutant Table 1G_All Sectors Summary of Annual Em issions by State FI PS/Tribal Code/State Name/Tribal Name/County FIPS/County Name/SCC and SCC Description/Source Category Name and Number/ Sector/Pollutant and Data Source Code

### 80 Table 27 (continued)

Summary Table Name Description Area Source and Biogenic/Natural Source Sector Summaries Table 2A_Area Sources Summary of Annual Em issions by State FI PS/Tribal Code/State Name/Tribal Name and Pollutant Table 2B_Area Sources Summary of Annual Em issions by State FI PS/Tribal Code/State Name/Tribal Name/County FIPS/County Name and Pollutant Table 2C_Area Sources Summary of Annual Em issions and Data Source Codes by State FIPS/Tribal Code/State Name/T ribal Name/County FIPS/County Name/SCC/SCC Description and Pollutant Table 2D_Area Sources Summary of Annual Emis sions by SCC/SCC Desc ription/Pollutant and State/Tribe Table 2E_Area Sources Summary of Annual Emissions by Pollutant and State/Tribe Point Source Sector Summaries Table 3A_Point Sources Summary of Annual Emissions by State FI PS/Tribal Code/State Name/Tribal Name and Pollutant Table 3B_Point Sources Summary of Annual Emissions by State FI PS/Tribal Code/State Name/Tribal Name/County FIPS/County Name and Pollutant Table 3C_Point Sources Summary of Annual Em issions and Data Source Codes by State FIPS/Tribal Code/State Name/T ribal Name/County FIPS/County Name/SCC/SCC Description and Pollutant Table 3D_Point Sources Summary of Annual Em issions by SCC/SCC De scription/Pollutant and State/Tribe Table 3E_Point Sources Summary of Annual Emissions by Pollutant and State/Tribe Table 3F_Point Sources Facility-level Summary Nonroad Source Sector Summaries Table 4A_Nonroad Sources Summary of Annual Em issions by State FIPS/St ate Name and Pollutant Table 4B_Nonroad Sources Summary of Annual Emissions by State FIPS/State Name/County FIPS/County Name and Pollutant Table 4C_Nonroad Sources Summary of Annual Emissions and Data Source Codes by State FIPS/State Name/County FIPS/Count y Name/SCC/SCC Description and Pollutant Table 4D_Nonroad Sources Summary of Annual Em issions by SCC/SCC De scription/Pollutant and State Table 4E_Nonroad Sources Summary of Annual Emissions by Pollutant and State Onroad Source Sector Summaries Table 5A_Onroad Sources Summary of Annual Emis sions by State FIPS/State Name and Pollutant Table 5B_Onroad Sources Summary of Annual Em issions by State FIPS/State Name/County FIPS/County Name and Pollutant Table 5C_Onroad Sources Summary of Annual Em issions and Data Source Codes by State FIPS/State Name/County FIPS/Count y Name/SCC/SCC Description and Pollutant Table 5D_Onroad Sources Summary of Annual Emis sions by SCC/SCC Desc ription/Pollutant and State Table 5E_Onroad Sources Summary of A nnual Emissions by Pollutant and State

### 81 IV. METHODS FOR AREAS OUTSIDE OF THE CENRAP REGION

A. Data Sources

This task involved gathering a nd consolidating point and area s ource emissions data for areas outside the CENRAP region. The sources of data included emissions inventories compiled by the other RPOs, the EPA, Environment Canada , Texas Commission on Environmental Quality (TCEQ), and other applications (e.g., Big Bend Regional Aerosol and Visibility Observational (BRAVO)). CENRAP indicated to UNC-CEP th e definition of the 36-kilometer modeling domain would have the following definition:

NCOLS = 148 NROWS = 112 GDTYP = 2 (Lambert conformal) P_ALP = 33. P_BET = 45. P_GAM = -97. XCENT = -97. YCENT = 40. XORIG = -2736000. YORIG = -2088000. XCELL = 36000. YCELL = 36000.

This modeling domain definition is also illustrated in Figure 6.

Figure 6. The CENRAP 36-kilometer modeling domain

.

### 82 We used this 36-kilometer domain definition to come up with the geographical areas outside of the CENRAP states where inventory data ar e needed for CENRAP modeling applications.

We contacted the VISTAS and WR AP RPOs and were able to ac quire year 2002 point, area and nonroad inventory data for their respective states . The data acquired was being used in their most recent modeling applications, however they did inform us that updates to the 2002 inventory are likely in near future. As of la te December 2004, the Midwest RPO did not have a “final” version of their 2002 inventory to release for use by other RPOs. MANE-VU RPO’s point, area, onroad, and nonroad in ventories were finalized at th e end of January 2005 and made available to other RPOs in February 2005.

The Mexican inventory databases available were the 1999 inventory used in the BRAVO modeling application and an updated inventory be ing developed by another contractor (Eastern Research Group [ERG]). We were not able to obtain the updated inventory from ERG. Moreover, the point source inventory will most likely be proprietary and could require a nondiscloser agreement. Since we could not obt ain this data, we recommend using the BRAVO inventories for the areas of the CENRAP modeling domain(s) that includes regions of Mexico.

The Canadian inventory databa ses from Environment Canada available are a 1995 inventory and a recently release year 2000 inventory. The point source data are proprietary, therefore, the data for year 2000 were not immediately available an d the 1995 point source inventory can’t be used by CENRAP unless their contractors get permi ssion from Environment Canada to do so. However, we were able to obtain the area, nonro ad, and mobile source inventories for the year 2000 from Environment Canada. We were able to reformat the data for use in SMOKEv2 and produce emissions total reports. These reports did not match up with the emission inventory totals Environment Canada provided with the data. The EPA and UNC-CEP found many problems with the year 2000 da ta including a lack of subprovi nce codes for better spatial allocation of emissions and different set of SCCs in the ASCII version of the inventory vs. the Microsoft Access version of the i nventory. We reported these issu es to Environment Canada and very recently (late December 2004) received anot her version of this inventory. We are now beginning to QA this new version. However, we recommend using the year 1995 area, nonroad and mobile source inventories un til confidence in the year 20 00 data can be acquired.

The Minerals Management Services (MMS) rece ntly released a year 2000 Gulfwide Emissions Inventory (GWEI) which is availa ble at the following website:

http://www.gomr.mms.gov/homepg/regulate/envi ron/airquality/gulfwid e_emission_inventory/20 00GulfwideEmissionInventory.html

This inventory dataset includes pl atform (treated as point sources) and non-platform (treated as area sources) sources for most of the Gulf of Mexico. TCEQ a nd other contractors (Environ and ERG) provided UNC-CEP with ancillary and sa mple MMS inventories for an average August 2000 day in Emissions Preprocessor System vers ion 3 (EPS3) format. UNC-CEP was able to use these ancillary data and the raw MMS data to create annual inventory in SMOKE IDA format for the non-platform sources and an average August 2000 inventory in SMOKE IDA format for the platform sources. Generating an annual platform inventory will require additional

### 83 ancillary data to be acquired from TCEQ. TCEQ is working on providing this data. UNC-CEP will generate the year 2000 annual inventory for plat form sources as soon as this ancillary data are acquired. Additional ancillary data n ecessary in order to use the MMS SMOKE IDA inventories in emissions modeling were also generated. This ancillary data includes spatial surrogates for the CENRAP 36-kilometer grid (F igure 6), temporal profiles, and spatial and temporal cross-references. These data have been provided to CENRAP for use in emissions modeling applications for both the non-platform and platform inventories. Additional technical details about these MMS inventor ies were provided with the data to help emissions modelers understand and properly apply the in ventory and ancillary data.

All of the data and associated emissions summaries described in this section were delivered to CENRAP on December 27, 2004. Table 28 provides a list of the deliverabl es, the date acquired, the sources used to assemble the data, the contra ctor(s) and/or organizatio ns that assembled the data, possible deficiencies of the data, time pe riod of the data (e.g., year 2002), and other necessary information needed to enable CENRAP to best understand th e databases that are available. Draft summaries of point and area so urce emissions data for these data obtained for areas outside of CENRAP were generate d and provided with the December 27, 2004 deliverables.

B. Supplemental Data/Augmentation Procedures

The supplemental data needed to run SMOKE were provided to CENRAP and described in detail in section F of this report. A dditional ancillary data to support the data sets described in the previous section (IV.A) were provided to CENRAP on December 27, 2004. This mainly included specific spatial profile and cross-refe rences and temporal cross-references for the Minerals Management Service (MMS) inventor ies, but also included better default stack parameters for Mexican point sources. Tabl e 29 includes a listing of all files provided to CENRAP on December 27, 2004.84Table 28. Description of Inventory Data Provided to CENRAPGeographicRegion/RPO Raw DataTimePeriodRawDataFormatDateReceived Source of DataSource of AncillaryData Possible DeficienciesDate DataandSummariesDelivered toCENRAPVISTAS Point, areaandnonroad2002 SMOKEIDA24-Aug-04 Gregory Stella, AlpineGeophysicsGregory Stella, AlpineGeophysicsPossibly updatedinventory coming soon27-Dec-04WRAP Point, areaandnonroad2002 SMOKEIDA1-Dec-04 Tom Moore, ColoradoSt and Zac Adelman,UNC-CEPTom Moore, ColoradoSt and Zac Adelman,UNC-CEPPossibly updatedinventory coming soon27-Dec-04Mexico Point,area,nonroadand mobile1999 SMOKEIDAEarly 2002 Hampden Kuhns,Desert ResearchInstituteJeff Vukovich, UNCCEP1999 specific; updatedMexican inventoryavailable from ERGsoon?27-Dec-04Canada Area,nonroadand mobile2000 SMOKEIDAJan 12,2005ftp://ftp.epa.gov/pub/EmisInventory/canada_2000inventory/.USEPA via Env.CanadaUNC-CEP New inventory; not welltested in AQ modelingapplications.12-Jan-05Gulf ofMexicoPoint, areaandnonroad2000 MSAccess18-Oct-04 MMS website:http://www.gomr.mms.gov/homepg/regulate/environ/airquality/gulfwide_emission_inventory/2000GulfwideEmissionInventory.htmlJim MacKay and RonThomas, TCEQ andRichard Billings, ERG2000 specific; platforminventory is based onaverage August day27-Dec-04MARAMA Area,nonroadand point2002 SMOKEIDALastupdatedFeb 15,2005http://www.marama.org/visibility/Inventory%20Summary/2002EmissionsInventory.htmMARAMA website/ EHPechanUnknown since updatedrecently.15-Feb-05

### 85 Table 29. Listing of Supplemental Data Files

Bytes Date created Time created File Name 506780 12/6/2004 13:41:58 task4b/CN/arinv.ca95_v3_nr d+stat+onrd.ida.gz 991 12/6/2004 13:41:08 task4b/CN/su mmaries/a.county.can95.rpt.gz 7201 12/6/2004 13:41:08 task4b/CN/ summaries/a.scc.can95.rpt.gz

878 12/6/2004 13:41:08 task4b/CN/su mmaries/a.state.can95.rpt.gz 34248 12/6/2004 13:41:08 task4b/CN/summaries/a.state_scc.can95.rpt.gz 125146 12/17/2004 18:47:50 task4b/MMS/ge_d at/agpro.nonplatform.US36_148X112.txt.gz 143 12/17/2004 18:47:51 task4b/MMS/ge_da t/amgref.m3.nonplatform.goads.txt.gz 540 12/17/2004 18:47:51 task4b/MMS/ge_dat/amptpro.m3.goads.txt.gz 261 12/17/2004 18:47:51 task4b/MMS/ge_dat/amptref.m3.goads.txt.gz 90692 12/17/2004 18:47:51 task4b/MMS/ge_dat/costcy.goads.txt.gz

1125 12/17/2004 18:48:46 task4b/MMS/ge_dat/GRIDDESC 20783 12/17/2004 18:47:51 task4b/MMS/ge_dat/gspro.cmaq.cb4p25.txt.gz 329 12/17/2004 18:47:51 task4b/MMS/ge_d at/gsref.goads.cmaq.cb4p25.txt.gz 122488 12/17/2004 18:47:52 task 4b/MMS/ge_dat/scc_desc.goads.txt.gz 449 12/20/2004 15:47:12 task4b/MMS/n on-platform/arinv.goads.lst 156569 12/20/2004 15:47:12 task4b/MMS/non- platform/CO.nonplatform_2000EI.ida.sort.gz 172086 12/20/2004 15:47:13 task4b/MMS/non-p latform/NOX.nonplatfo rm_2000EI.ida.sort.gz 200071 12/20/2004 15:47:13 task4b/MMS/non- platform/PM.nonplatform_2000EI.ida.sort.gz 160729 12/20/2004 15:47:13 task4b/MMS/non-pla tform/SO2.nonplatform_2000EI.ida.sort.gz 258715 12/20/2004 15:47:39 task4b/MMS/non-platform/summaries/a.county.goads.rpt.gz 1101 12/20/2004 15:47:40 task4b/MMS/non-p latform/summaries/a.scc.goads.rpt.gz 2245 12/20/2004 15:47:40 task4b/MMS/non-pla tform/summaries/a.s tate.goads.rpt.gz 13071 12/20/2004 15:47:40 task4b/MMS/non-platfo rm/summaries/a.state_scc.goads.rpt.gz

1123 12/20/2004 15:47:40 task4b/MMS/non-pla tform/summaries/ag.scc.us36.goads.rpt.gz 2267 12/20/2004 15:47:40 task4b/MMS/non-platfo rm/summaries/ag.state.us36.goads.rpt.gz 13095 12/20/2004 15:47:40 task4b/MMS/non-platform /summaries/ag.state_scc.us36.goads.rpt.gz 476760 12/20/2004 15:47:40 task4b/MMS/non- platform/summaries/ag.us36.goads.ncf 201639 12/20/2004 15:47:14 task4b/MMS/non-p latform/VOC.nonplatfo rm_2000EI.ida.sort.gz 120226 12/20/2004 15:46:35 task4b/MMS/platfo rm/CO.afs.gwei2000.20000801.latlong.ida.gz 122429 12/20/2004 15:46:35 task4b/MMS/platform /NOX.afs.gwei2000.20000801.latlong.ida.gz 100504 12/20/2004 15:46:36 task4b/MMS/platform/P M10.afs.gwei2000.20000801.latlong.ida.gz

99235 12/20/2004 15:46:36 task4b/MMS/platform/P M2_5.afs.gwei2000.2000 0801.latlong.ida.gz

584 12/20/2004 15:46:37 task4b/MMS /platform/ptinv.goads.lst 1052 12/20/2004 15:46:37 task4b/MMS/platform/S O2.afs.gwei2000.20000801.latlong.ida.gz

891 12/20/2004 15:47:56 task4b/MMS/platfo rm/summaries/p.county.goads.rpt 9566 12/20/2004 15:47:56 task4b/MMS/pla tform/summaries/p.scc.goads.rpt

811 12/20/2004 15:47:57 task4b/MMS/pla tform/summaries/p .state.goads.rpt 10358 12/20/2004 15:47:57 task4b/MMS/platfo rm/summaries/p.state_scc.goads.rpt

### Table 29 (continued)

86 Bytes Date created Time created File Name

500856 12/20/2004 15:46:39 task4b/MMS/platform /VOC.afs.gwei2000.20000801.latlong.ida.gz

12093 12/20/2004 16:11:18 ta sk4b/MMS/README.04dec20.mms 281244 12/6/2004 13:43:49 task 4b/MX/arinv.mx.ver7.txt.gz 412 12/6/2004 13:44:42 task 4b/MX/pstk.mx.m3.txt.gz 8219 12/6/2004 13:44:14 task4b/MX/ptinv_mx_dat.txt.dos.gz 19497 12/6/2004 13:45:45 task4b/MX/s ummaries/a.county .mexico.rpt.gz

3313 12/6/2004 13:45:45 task4b/MX/s ummaries/a.scc.mexico.rpt.gz

750 12/6/2004 13:45:46 task4b/MX/su mmaries/a.state.mexico.rpt.gz 11251 12/6/2004 13:45:46 task4b/MX/su mmaries/a.state_scc.mexico.rpt.gz

1896 12/6/2004 13:45:53 task4b/MX/s ummaries/p.county .mexico.rpt.gz 1136 12/6/2004 13:45:53 task4b/MX/s ummaries/p.scc.mexico.rpt.gz

793 12/6/2004 13:45:53 task4b/MX/su mmaries/p.state.mexico.rpt.gz 2595 12/6/2004 13:45:53 task4b/MX/su mmaries/p.state_scc.mexico.rpt.gz 1543109 12/1/2004 16:06:30 task 4b/VISTAS/ida_ar_2002_24mar04. emis.onlyVISTAS.cep.gz 5653943 12/1/2004 16:06:30 task 4b/VISTAS/ida_nr_2002_23mar04. emis.onlyVISTAS.cep.gz 2963335 12/1/2004 16:06:31 task4b/ VISTAS/ptinv_vistas_2002_0 41504.ida.onlyVISTAS.cep.gz 36041 12/1/2004 15:34:56 task4b/VISTAS/s ummaries/a.county.onlyvistas.rpt.gz

6836 12/1/2004 15:34:56 task4b/VISTAS/s ummaries/a.scc.onlyvistas.rpt.gz

773 12/1/2004 15:34:56 task 4b/VISTAS/summaries/a.s tate.onlyvistas.rpt.gz 38118 12/1/2004 15:34:56 task 4b/VISTAS/summaries/a.sta te_scc.onlyvistas.rpt.gz 38973 12/1/2004 15:47:05 task4b/VISTAS/s ummaries/n.county.onlyvistas.rpt.gz 11112 12/1/2004 15:47:05 task4b/VISTAS/s ummaries/n.scc.onlyvistas.rpt.gz

766 12/1/2004 15:47:05 task 4b/VISTAS/summaries/n.s tate.onlyvistas.rpt.gz 92264 12/1/2004 15:47:05 task 4b/VISTAS/summaries/n.sta te_scc.onlyvistas.rpt.gz 30334 12/1/2004 15:23:06 task4b/VISTAS/s ummaries/p.county.onlyvistas.rpt.gz 95552 12/1/2004 15:23:06 task4b/VISTAS/s ummaries/p.scc.onlyvistas.rpt.gz

739 12/1/2004 15:23:06 task 4b/VISTAS/summaries/p.s tate.onlyvistas.rpt.gz 265922 12/1/2004 15:23:06 task 4b/VISTAS/summaries/p.sta te_scc.onlyvistas.rpt.gz 493742 12/2/2004 17:27:40 task 4b/WRAP/area/arinv.WRAP2002_v 3_ida.txt.onlyWRAP.cep.gz 564251 12/2/2004 17:26:16 ta sk4b/WRAP/nonroad/nrinv.Environ_WRAP_aut03_v2_ida.txt.gz 564198 12/2/2004 17:26:17 ta sk4b/WRAP/nonroad/nrinv.Environ_WRAP_spr03_v2_ida.txt.gz 579653 12/2/2004 17:26:19 ta sk4b/WRAP/nonroad/nrinv.Environ_WRAP_sum03_v2_ida.txt.gz 539663 12/2/2004 17:26:21 ta sk4b/WRAP/nonroad/nrinv.Environ_WRAP_win03_v2_ida.txt.gz 5111 12/2/2004 17:26:22 task 4b/WRAP/nonroad/nrinv.WRAP_shipping03_v1_ida.txt.gz 3135152 12/2/2004 17:26:52 ta sk4b/WRAP/point/ptinv.WRAP2002_v1_WRAPonly_ida.txt.gz

21717 12/2/2004 11:10:58 task4b/WRAP/ summaries/a.county.onlywrap.rpt.gz

8872 12/2/2004 11:10:58 task4b/WRAP/su mmaries/a.scc.onlywrap.rpt.gz

887 12/2/2004 11:10:58 task4b/WRAP/su mmaries/a.state.onlywrap.rpt.gz 28653 12/2/2004 11:10:58 task4b/WRAP/su mmaries/a.state_scc.onlywrap.rpt.gz 24690 12/2/2004 17:17:02 task4b/WRAP/ summaries/n.county.aut_wrap.rpt.gz

2768 12/2/2004 17:19:44 task4b/WRAP/su mmaries/n.county.shp_wrap.rpt.gz 24725 12/2/2004 17:13:30 task4b/WRAP/su mmaries/n.county.spr_wrap.rpt.gz 25009 12/2/2004 17:15:16 task4b/WRAP/su mmaries/n.county.sum_wrap.rpt.gz 24516 12/2/2004 17:10:29 task4b/WRAP/su mmaries/n.county.win_wrap.rpt.gz

1900 12/2/2004 17:17:02 task4b/WRAP/ summaries/n.scc.aut_wrap.rpt.gz

462 12/2/2004 17:19:44 task4b/WRAP/ summaries/n.scc.shp_wrap.rpt.gz 1922 12/2/2004 17:13:30 task4b/WRAP/ summaries/n.scc.spr_wrap.rpt.gz 1909 12/2/2004 17:15:16 task4b/WRAP/ summaries/n.scc.sum_wrap.rpt.gz 1893 12/2/2004 17:10:29 task4b/WRAP/ summaries/n.scc.win_wrap.rpt.gz

952 12/2/2004 17:17:02 task4b/WRAP/su mmaries/n.state.aut_wrap.rpt.gz 453 12/2/2004 17:19:44 task4b/WRAP/su mmaries/n.state.shp_wrap.rpt.gz 964 12/2/2004 17:13:30 task4b/WRAP/su mmaries/n.state.spr_wrap.rpt.gz 956 12/2/2004 17:15:16 task4b/WRAP/su mmaries/n.state.sum_wrap.rpt.gz 958 12/2/2004 17:10:29 task4b/WRAP/su mmaries/n.state.win_wrap.rpt.gz

### Table 29 (continued)

87 Bytes Date created Time created File Name 12790 12/2/2004 17:17:02 task4b/WRAP/summa ries/n.state_scc.aut_wrap.rpt.gz

706 12/2/2004 17:19:44 task4b/WRAP/summa ries/n.state_scc.shp_wrap.rpt.gz 12857 12/2/2004 17:13:30 task4b/WRAP/summa ries/n.state_scc.spr_wrap.rpt.gz 12913 12/2/2004 17:15:16 task4b/WRAP/summa ries/n.state_scc.sum_wrap.rpt.gz 12480 12/2/2004 17:10:29 task4b/WRAP/summa ries/n.state_scc.win_wrap.rpt.gz 15361 12/2/2004 11:03:55 task4b/WRAP/ summaries/p.county.onlywrap.rpt.gz 70477 12/2/2004 11:03:55 task4b/WRAP/su mmaries/p.scc.onlywrap.rpt.gz 879 12/2/2004 11:03:55 task4b/WRAP/su mmaries/p.state.onlywrap.rpt.gz 161640 12/2/2004 11:03:55 task4b/WRAP/su mmaries/p.state_scc.onlywrap.rpt.gz

### 88 [This page intentionally left blank.]

### 89 V. REFERENCES

CENRAP, 2004a: Methods for Consolidation of Emission Inventories (Schedule 9; Work Item 3), Draft. Prepared by E.H. Pechan & Associates, Inc. and Carolina Environmental Program for the Central Regional Air Planning Association (CENRAP). August 23, 2004.

CENRAP, 2004b: Quality Assurance Project Pl an (QAPP) for Consolidation of Emissions Inventories (Schedule 9; Work Item 3), Fina l. Prepared by E.H. Pechan & Associates, Inc. and Carolina Environmental Progra m for the Central Regional Air Planning Association (CENRAP). September 13, 2004.

EPA, 2002: Final Summary of the Development and Results of a Methodology for Calculating Area Source Emissions from Re sidential Fuel Combustion, U.S. Environmental Protection Agency, Emission Factor and Inventory Group, Emissions Monitoring and Analysis Division, Office of Air Quality Planning and Standards. Research Triangle Park, North Carolina. September 2002. ( http://www.epa.gov/ttn/chief/eiip /techreport/volume03/index.html )

EPA, 2003: Enhanced Particulate Matter Controll ed Emissions Calculator, User’s Manual, U.S. Environmental Protection Agency, Emission Factor and Inventory Group, Emissions Monitoring and Analysis Divi sion, Office of Air Quality Planning and Standards. Research Triangle Park, North Carolina. September 2003.

EPA, 2004a: Basic Format & Content Checker 3. 0 (Formerly known as the Quality Assurance / Quality Control Software 3.0) - March 2004; Extended Quality Control Tool - Updated May 18, 2004. Available at the following EPA website: http://www.epa.gov/ttn/chief/nif/index.html#nei

EPA, 2004b: NEI Quality Assurance and Data Augmentation for Point Sources, U.S. EPA, Emissions Monitoring and Analysis Division, Emission Factor and Inventory Group, May 26, 2004.

EPA, 2004c: Factor Information and REtrieval (FIRE) Data System, Version 6.24, located on the Technology Transfer Network Clearinghous e for Inventories & Emission Factors Web Site at http://www.epa.gov/ttn/chief/ software/fire/index.html. March 2004.

Pechan, 2003: Analysis of Utility Emissions Tracking System/Continuous Emissions Monitoring (ETS/CEM) Data, Final Report. Pr epared by E.H. Pechan & Associates, Inc., (Pechan Report #03.07.003/9411.000) for the Lake Michigan Air Directors Consortium. July 2003.

STI, 2003: Coe, D. and S. Reid, Sonoma Technology Inc., “Research and Development of Ammonia Emission Inventories for the CENRAP,” Final Report STI-902501-2241-FR, October 30, 2003.

### 90 Thompson, 2002: Thompson, Rhonda L., “A De monstration of the Quality Assurance (QA) software specifically developed for the Nati onal Emission Inventory (NEI),” presented at the International Emission Inventory Confer ence “Emission Inventories - Partnering for the Future,” Atlanta, GA, April 15-18, 2002, ( http://www.epa.gov/ttn/chief/conference/ ei11/qa/thompson.pdf ).

### A-1 APPENDIX A

SUMMARIES OF ANNUAL EMISSIONS BY SOURCE CATEGORY, SECTOR, AND POLLUTANT

### A-2 Table A-1. Summary of Annual VOC Emissions for the CENRAP Region by Category, Sector, and Pollutant

VOC

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Mobile Sources-Highway Vehicles-Gasoline 2201 ON-ROAD 765,838 17.47 17.47 Industrial Processes-O il and Gas Production: SIC 13 2310 AREA 731,153 16.68 34.15 Mobile Sources-Pleasure Craft 2282 NONROAD 418,585 9.55 43.7 Mobile Sources-Off-highway Vehicle Gaso line, 2-Stroke 2260 NONROAD 208,980 4.77 48.47Petroleum and Petroleum Product Storage & TransportOther 250 AREA 189,313 4.32 52.79

Solvent Utilization-Miscellaneous Non-industrial: Consumer and Commercial 24600 - 24 AREA 167,832 3.83 56.62

Industrial Surface Coating 2401015000 AREA 153,472 3.5 60.12 Stationary Source Fuel Combustion-Residential 2104 AREA 143,710 3.28 63.4 Solvent Utilization-Miscellaneous Non-industrial: Commercial 24610 - 24 AREA 128,915 2.94 66.34

Miscellaneous Area Sources-Agricultural ProductionCrops-Field Burning 28015 AREA 102,575 2.34 68.68

Petroleum and Solvent Evaporation-Surface Coating Operations 402 POINT 101,968 2.33 71.01

Industrial Processes-Pulp and Paper and Wood Products 307 POINT 95,121 2.17 73.18

Mobile Sources-Off-highway Vehicle Ga soline, 4-Stroke 2265 NONROAD 87,696 2 75.18 Architectural Coatings 2401001000 AREA 78,767 1.8 76.98 Gas Marketing Stage II 25010601 AREA 74,667 1.7 78.68 Miscellaneous Area Sources-Other Co mbustion 2810 POINT 69,037 1.57 80.25 Miscellaneous Area Sources-Other Combustion 2810 AREA 68,527 1.56 81.81 Industrial Processes-Chemical Manufacturing 301 POINT 68,030 1.55 83.36 Industrial Processes-Petroleum Industry 306 POINT 65,784 1.5 84.86 Degreasing 2415 AREA 58,013 1.32 86.18 Mobile Sources-Off-highway Vehicle Diesel 2270 NONROAD 48,208 1.1 87.28 Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465 AREA 45,775 1.04 88.32

Open Burning-Waste Disposal, Treatment, and Recovery 261 AREA 40,923 0.93 89.25

Gas Marketing Stage I 25010600 AREA 39,759 0.91 90.16 Petroleum and Solvent Evaporation-Petroleum Product Storage at Refineries 403 POINT 29,257 0.67 90.83

Mobile Sources-Highway Vehicles-Diesel 2230 ON-ROAD 26,471 0.6 91.43 Industrial Processes-Oil and Gas Production 310 POINT 25,917 0.59 92.02 Internal Combustion Engines-Industrial 2020 POINT 25,671 0.59 92.61 Graphic Arts 2425 AREA 21,610 0.49 93.1 Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 AREA 21,313 0.49 93.59

Industrial Processes-Food and Agri culture 302 POINT 19,039 0.43 94.02 Solvent Utilization-Dry Cleaning 2420 AREA 18,967 0.43 94.45 Solvent Utilization-Miscellaneous Industrial 2440020000 AREA 17,119 0.39 94.84 Mobile Sources-Railroad Equipment 2285 NONROAD 16,523 0.38 95.22 Petroleum and Solvent Evapor ation-Petroleum Liquids Storage (non-Refinery) 4040 POINT 15,417 0.35 95.57

Auto Refinishing 2401005000 AREA 12,277 0.28 95.85 External Combustion Boilers-Electri c Generation 1010 POINT 11,693 0.27 96.12 Mobile Sources-LPG 2267 NONROAD 11,266 0.26 96.38 Waste Disposal, Treatment, and Recovery-Wastewater Treatment 2630 AREA 9,790 0.22 96.60

Industrial Processes-Rubber and Miscellaneous Plastics Products 308 POINT 8,855 0.2 96.80

Traffic Markings 2401008000 AREA 8,694 0.2 97.00 External Combustion Boilers-Industrial 1020 POINT 8,680 0.2 97.20 Industrial Processes-Mineral Pr oducts 305 POINT 8,366 0.19 97.39 Petroleum and Solvent Evaporation-Organic Solvent Evaporation 401 POINT 8,203 0.19 97.58

Petroleum and Solvent Evaporation-Transportation and Marketing of Petroleum Products 406 POINT 8,167 0.19 97.77

### Table A-1 (continued)

A-3 VOC

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Industrial Processes-Miscellaneous Manufacturing Industries 399 POINT 7,998 0.18 97.95

Petroleum and Solvent Evaporation-Prin ting/Publishing 405 POINT 7,394 0.17 98.12 Mobile Sources-CNG 2268 NONROAD 6,458 0.15 98.27Miscellaneous Area Sources-Agricultural ProductionCrops 2801 AREA 6,215 0.14 98.41

Industrial Processes-Secondary Meta l Production 304 POINT 5,912 0.13 98.54 Stationary Source Fuel Combustion-Industrial 2102 AREA 5,408 0.12 98.66 Waste Disposal, Treatment, and Recovery-Landfills 2620 AREA 5,347 0.12 98.78 Mobile Sources-Aircraft 2275 NONROAD 5,337 0.12 98.90 Industrial Processes-Cooling Tower 3850 POINT 4,751 0.11 99.01 Rubber/Plastics 2430000000 AREA 4,256 0.1 99.11 Industrial Processes-F ood and Kindred Products: SIC 20 2302 AREA 3,605 0.08 99.19

Mobile Sources-Marine Vessels, Commercial 2280 NONROAD 3,120 0.07 99.26 Petroleum and Solvent Evaporation-Organic Chemical Storage 407 POINT 2,996 0.07 99.33

Industrial Processes-Pr imary Metal Production 303 POINT 2,625 0.06 99.39 Internal Combustion Engines-Commercia l/Institutional 2030 POINT 2,349 0.05 99.44 Industrial Processes-I ndustrial Processes: NEC 2399 AREA 2,097 0.05 99.49 Waste Disposal-Solid Waste Dispos al-Government 501 POINT 2,076 0.05 99.54Stationary Source Fuel CombustionCommercial/Institutional 2103 AREA 1,684 0.04 99.58

Waste Disposal, Treatment, and Recovery-TSDFs 2640 AREA 1,678 0.04 99.62 Internal Combustion Engines-Electri c Generation 2010 POINT 1,576 0.04 99.66 Petroleum and Solvent Evaporation-Organic Chemical Transportation 4089 POINT 1,531 0.03 99.69

Industrial Processes-Fabricated Me tal Products 309 POINT 1,528 0.03 99.72 Miscellaneous Area Sources-Catastrophic/Accidental Releases 2830 AREA 1,254 0.03 99.75

Waste Disposal-Solid Waste Dispos al-Industrial 503 POINT 1,146 0.03 99.78 Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465000000 AREA 1,009 0.02 99.80

Industrial Processes-In-process Fuel Use 390 POINT 742 0.02 99.82 External Combustion Boilers-Commercial/Institutional 1030 POINT 682 0.02 99.84 Waste Disposal, Treatment, and Recovery-On-site Incineration 2601 AREA 650 0.01 99.85

Waste Disposal-Solid Waste DisposalCommercial/Institutional 502 POINT 606 0.01 99.86

Mobile Sources-Aircraft 2275 POINT 599 0.01 99.87 Industrial Processes-Textile Products 330 POINT 567 0.01 99.88 Internal Combustion Engines-Fugiti ve Emissions 2888 POINT 508 0.01 99.89 Industrial Processes-Electrical Equipment 313 POINT 502 0.01 99.90 Internal Combustion Engines-Engi ne Testing 2040 POINT 455 0.01 99.91 Industrial Processes-Machinery, Miscellaneous 3129 POINT 455 0.01 99.92 Waste Disposal, Treatment, and Recovery-Leaking Underground Storage Tanks 2660 AREA 450 0.01 99.93

Industrial Processes-Transportati on Equipment 314 POINT 378 0.01 99.94 Mobile Sources-Aircraft 2275 AREA 285 0.01 99.95 Mobile Sources-Off-highway Vehicle Ga soline, 4-Stroke 2265 POINT 283 0.01 99.96 MACT Source Categories : Vinyl-based Resins 6463 POINT 256 0.01 99.97 MACT Source Categories : Cellulose-based Resins 644 POINT 221 0.01 99.98 External Combustion Boilers-Space Heaters 1050 POINT 207 0 99.98 Industrial Processes-Leather and Leat her Products 3209 POINT 130 0.00 99.98 Bulk Materials Transport & Transport 253 AREA 108 0.00 99.99 Petroleum and Solvent Evaporation- 4250 POINT 101 0.00 99.99 Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 POINT 79 0.00 99.99

Petroleum and Solvent Evaporation : Dry Cleaning 410 POINT 67 0.00 99.99 Waste Disposal, Treatment, and Recovery-Landfills 2620 POINT 51 0.00 99.99 Miscellaneous Area Sources-Aircraft/Rocket Engine Firing and Testing 2810040 AREA 45 0.00 99.99

Petroleum and Solvent Evaporation : Organic Chemical Transportation 4088 POINT 39 0.00 99.99

### Table A-1 (continued)

A-4 VOC

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Waste Disposal-Site Remediation 504 POINT 35 0.00 100.0 Industrial Processes-Photo Equip/Health Care/Labs/Air Condit/SwimPools 3150 POINT 20 0.00 100.0

Mobile Sources-Off-highway Vehicle Diesel 2270 POINT 16 0.00 100.0 MACT Source Categories : Styrene or Methacrylate Based Resins 6413 POINT 16 0.00 100.0

MACT Source Categories-Miscell aneous Resins 6452 POINT 12 0.00 100.0 Industrial Processes-Building C onstruction 3110 POINT 11 0.00 100.0 MACT Source Categories : Agricultural Chemicals Production 631 POINT 3.1 0.00 100.0

MACT Source Categories-Inorganic Chemicals Manufacturing 6513 POINT 2.1 0.00 100.0

MACT Source Categorie s-Miscellaneous Processes (Chemicals) 6848 POINT 1.0 0.00 100.0

MACT Source Categories : Food and Agricultural Processes 6258 POINT 0.7 0.00 100.0

Miscellaneous Area Sources-Agricultural ProductionCrops 2801 POINT 0.5 0.00 100.0

MACT Source Categories-Miscellaneous Processes 6828 POINT 0.0 0.00 100.0 Mobile Sources-Unpaved Roads 2296 POINT 0.00 100.0 Mobile Sources-Paved Roads 2294 POINT 0 100.0 MACT Source Categories-Miscellaneous Processes 6824 POINT 0 100.0 Mobile Sources-Unpaved Roads 2296 AREA 0 100.0 Industrial Processes-Constructi on: SIC 15-17 2311 AREA 0 100.0 Mobile Sources-Paved Roads 2294 AREA 0 100.0 Industrial Processes-Mining and Qua rrying: SIC 14 2325 AREA 0 100.0Miscellaneous Area Sources-Agricultural ProductionCrops-Tilling & Harvesting 28010 AREA 0 100.0

Industrial Processes-Printing and Publishing 3600 POINT 0 100.0 MACT Source Categories : Consumer Product Manufacturing Facilities 6818 POINT 0 100.0

Internal Combustion Engi nes-Off-highway Diesel Engines 2700 POINT 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Cattle and Calves Waste Emissions 280502 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Swine 2805025 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Poultry 2805030 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Beef Cattle 280500 AREA 0 100.0

Miscellaneous Area Sources-Do mestic Animals Waste Emissions 2806 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Dairy Cattle 280501 AREA 0 100.0

Miscellaneous Area Sources-Wild Animals Waste Emissions 2807 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Horses and Ponies 2805035 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Goats 2805045 AREA 0 100.0

Mobile Sources-Highway Vehicles-Gasoline 2201 AREA 0 100.0Miscellaneous Area Sources-Agriculture ProductionLivestock-Sheep and Lambs 2805040 AREA 0 100.0

Mobile Sources-Highway Vehicles-Diesel 2230 AREA 0 100.0 Inorganic Chemical Storage & Transport 252 AREA 0 100.0 Stationary Source Fuel Combustion-Electric Utility 2101 AREA 0 100.0 Totals for All Categories 4,383,876 100

### A-5 Table A-2. Summary of Annual NOx Emissions for the CENRAP Region by Category, Sector, and Pollutant

NOx

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent External Combustion Boilers-Electri c Generation 1010 POINT 895,606 17.38 17.38 Mobile Sources-Highway Vehicles-Diesel 2230 ON-ROAD 746,948 14.5 31.88 Mobile Sources-Highway Vehicles-Gasoline 2201 ON-ROAD 736,720 14.3 46.18 Industrial Processes-O il and Gas Production: SIC 13 2310 AREA 476,029 9.24 55.42 Mobile Sources-Off-highway Vehicle Diesel 2270 NONROAD 407,557 7.91 63.33 Internal Combustion Engines-Industrial 2020 POINT 380,352 7.38 70.71 Mobile Sources-Railroad Equipment 2285 NONROAD 331,556 6.44 77.15 Stationary Source Fuel Combustion-Industrial 2102 AREA 194,842 3.78 80.93 External Combustion Boilers-Industrial 1020 POINT 184,597 3.58 84.51 Mobile Sources-Marine Vessels, Commercial 2280 NONROAD 123,773 2.4 86.91 Industrial Processes-Mineral Pr oducts 305 POINT 91,544 1.78 88.69 Industrial Processes-Petroleum Industry 306 POINT 69,805 1.35 90.04 Industrial Processes-Chemical Manufacturing 301 POINT 60,933 1.18 91.22Miscellaneous Area Sources-Agricultural ProductionCrops-Field Burning 28015 AREA 54,497 1.06 92.28

Stationary Source Fuel Combustion-Residential 2104 AREA 50,950 0.99 93.27 Mobile Sources-LPG 2267 NONROAD 42,269 0.82 94.09Stationary Source Fuel CombustionCommercial/Institutional 2103 AREA 33,852 0.66 94.75

Internal Combustion Engines-Electri c Generation 2010 POINT 33,598 0.65 95.4 Industrial Processes-In-process Fuel Use 390 POINT 31,703 0.62 96.02 Mobile Sources-Pleasure Craft 2282 NONROAD 30,029 0.58 96.6 Mobile Sources-Off-highway Vehicle Gasoline, 4- Stroke 2265 NONROAD 22,128 0.43 97.03

Industrial Processes-Oil and Gas Production 310 POINT 16,082 0.31 97.34 Mobile Sources-Aircraft 2275 NONROAD 15,299 0.3 97.64 Miscellaneous Area Sources-Other Combustion 2810 AREA 14,089 0.27 97.91 Industrial Processes-Pr imary Metal Production 303 POINT 13,450 0.26 98.17 Industrial Processes-Pulp and Paper and Wood Products 307 POINT 11,920 0.23 98.4

Open Burning-Waste Disposal, Treatment, and Recovery 261 AREA 10,482 0.2 98.6

Miscellaneous Area Sources-Other Co mbustion 2810 POINT 8,248 0.16 98.76 Internal Combustion Engines-Commercia l/Institutional 2030 POINT 7,898 0.15 98.91 External Combustion Boilers-Commercial/Institutional 1030 POINT 7,260 0.14 99.05 Mobile Sources-CNG 2268 NONROAD 6,468 0.13 99.18 Petroleum and Petroleum Product Storage & Transport-Other 250 AREA 4,941 0.1 99.28

Industrial Processes-Secondary Meta l Production 304 POINT 3,897 0.08 99.36 Waste Disposal-Solid Waste Dispos al-Government 501 POINT 3,717 0.07 99.43 Industrial Processes-Miscellaneous Manufacturing Industries 399 POINT 3,697 0.07 99.5

Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 AREA 3,563 0.07 99.57

Mobile Sources-Off-highway Vehicle Gasoline, 2- Stroke 2260 NONROAD 2,981 0.06 99.63

Miscellaneous Area Sources-Agricultural ProductionCrops 2801 AREA 2,758 0.05 99.68

Bulk Materials Transport & Transport 253 AREA 2,354 0.05 99.73 Industrial Processes-Food and Agri culture 302 POINT 2,267 0.04 99.77 Mobile Sources-Aircraft 2275 POINT 1,825 0.04 99.81 Industrial Processes-Rubber and Miscellaneous Plastics Products 308 POINT 1,725 0.03 99.84

Waste Disposal, Treatment, and Recovery-On-site Incineration 2601 AREA 1,289 0.03 99.87

Waste Disposal-Solid Waste Dispos al-Industrial 503 POINT 1,227 0.02 99.89 Internal Combustion Engines-Engi ne Testing 2040 POINT 868 0.02 99.91 Petroleum and Solvent Evaporation-Surface Coating Operations 402 POINT 627 0.01 99.92

Industrial Processes-I ndustrial Processes: NEC 2399 AREA 616 0.01 99.93

### Table A-2 (continued)

A-6 NOx

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent External Combustion Boilers-Space Heaters 1050 POINT 586 0.01 99.94 Waste Disposal-Site Remediation 504 POINT 535 0.01 99.95 Industrial Processes-Fabricated Me tal Products 309 POINT 480 0.01 99.96 Miscellaneous Area Sources-Aircraft/Rocket Engine Firing and Testing 2810040 AREA 219 0.00 99.96

Waste Disposal-Solid Waste DisposalCommercial/Institutional 502 POINT 209 0.00 99.96

Mobile Sources-Off-highway Vehicle Diesel 2270 POINT 208 0.00 99.96 Mobile Sources-Off-highway Vehicle Gasoline, 4- Stroke 2265 POINT 188 0.00 99.96

Petroleum and Solvent Evaporation-Organic Solvent Evaporation 401 POINT 187 0.00 99.96

Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 POINT 157 0.00 99.96

Petroleum and Solvent Evaporation-Transportation and Marketing of Petroleum Products 406 POINT 111 0.00 99.96

Petroleum and Solvent Evaporation-Petroleum Liquids Storage (non-Refinery) 4040 POINT 97 0.00 99.96

Petroleum and Solvent EvaporationPrinting/Publishing 405 POINT 90 0.00 99.96

Industrial Processes-Electrical Equipment 313 POINT 82 0.00 99.96 Industrial Processes-Machinery, Miscellaneous 3129 POINT 68 0.00 99.96 Petroleum and Solvent Evaporation-Petroleum Product Storage at Refineries 403 POINT 48 0.00 99.96

Internal Combustion Engines-Fugiti ve Emissions 2888 POINT 26 0.00 99.96 Petroleum and Solvent Evaporation-Organic Chemical Transportation 4089 POINT 18 0.00 99.96

MACT Source Categories : Vinyl-based Resins 6463 POINT 11 0.00 99.96 Solvent Utilization-Miscellaneous Non-industrial: Commercial 24610 - 24 AREA 10 0.00 99.96

Petroleum and Solvent Evaporation- 4250 POINT 6 0.00 99.96 Industrial Processes-Transportati on Equipment 314 POINT 5 0.00 99.96 Internal Combustion Engi nes-Off-highway Diesel Engines 2700 POINT 4 0.00 99.96

Petroleum and Solvent Evaporation-Organic Chemical Storage 407 POINT 4 0.00 99.96

Industrial Processes-Textile Products 330 POINT 3 0.00 99.96Miscellaneous Area Sources-Agricultural ProductionCrops 2801 POINT 2 0.00 99.96

Industrial Processes-Building C onstruction 3110 POINT 1 0.00 99.96 MACT Source Categories : Cellulose-based Resins 644 POINT 0 0.00 99.96 Industrial Processes-Cooling Tower 3850 POINT 0 0.00 99.96 Industrial Processes-Photo Equip/Health Care/Labs/Air Condit/SwimPools 3150 POINT 0 0.00 99.96

MACT Source Categories-Inorganic Chemicals Manufacturing 6513 POINT 0 0.00 100.0

Waste Disposal, Treatment, and Recovery-Landfills 2620 POINT 0 100.0 Petroleum and Solvent Evaporation : Organic Chemical Transportation 4088 POINT 0 100.0

MACT Source Categorie s-Miscellaneous Processes (Chemicals) 6848 POINT 0 100.0

Mobile Sources-Unpaved Roads 2296 POINT 0 100.0 Mobile Sources-Paved Roads 2294 POINT 0 100.0 Solvent Utilization-Miscellaneous Non-industrial: Consumer and Commercial 24600 - 24 AREA 0 100.0

Industrial Surface Coating 2401015000 AREA 0 100.0 Architectural Coatings 2401001000 AREA 0 100.0 Gas Marketing Stage II 25010601 AREA 0 100.0 Degreasing 2415 AREA 0 100.0 Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465 AREA 0 100.0

Gas Marketing Stage I 25010600 AREA 0 100.0 Graphic Arts 2425 AREA 0 100.0 Solvent Utilization-Dry Cleaning 2420 AREA 0 100.0

### Table A-2 (continued)

A-7 NOx

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Solvent Utilization-Miscellaneous Industrial 2440020000 AREA 0 100.0 Auto Refinishing 2401005000 AREA 0 100.0Waste Disposal, Treatment, and RecoveryWastewater Treatment 2630 AREA 0 100.0

Traffic Markings 2401008000 AREA 0 100.0 Waste Disposal, Treatment, and Recovery-Landfills 2620 AREA 0 100.0 Rubber/Plastics 2430000000 AREA 0 100.0 Industrial Processes-Food and Kindred Products: SIC 20 2302 AREA 0 100.0

Waste Disposal, Treatment, and Recovery-TSDFs 2640 AREA 0 100.0 Miscellaneous Area Sources-Catastrophic/Accidental Releases 2830 AREA 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465000000 AREA 0 100.0

Waste Disposal, Treatment, and Recovery-Leaking Underground Storage Tanks 2660 AREA 0 100.0

Mobile Sources-Aircraft 2275 AREA 0 100.0 Industrial Processes-Leather and Leat her Products 3209 POINT 0 100.0 Petroleum and Solvent Evaporation : Dry Cleaning 410 POINT 0 100.0 MACT Source Categories : Styrene or Methacrylate Based Resins 6413 POINT 0 100.0

MACT Source Categories-Miscell aneous Resins 6452 POINT 0 100.0 MACT Source Categories : Agricultural Chemicals Production 631 POINT 0 100.0

MACT Source Categories : Food and Agricultural Processes 6258 POINT 0 100.0

MACT Source Categories-Miscellaneous Processes 6828 POINT 0 100.0 MACT Source Categories-Miscellaneous Processes 6824 POINT 0 100.0 Mobile Sources-Unpaved Roads 2296 AREA 0 100.0 Industrial Processes-Constructi on: SIC 15-17 2311 AREA 0 100.0 Mobile Sources-Paved Roads 2294 AREA 0 100.0 Industrial Processes-Mining and Qua rrying: SIC 14 2325 AREA 0 100.0Miscellaneous Area Sources-Agricultural ProductionCrops-Tilling & Harvesting 28010 AREA 0 100.0

Industrial Processes-Printing and Publishing 3600 POINT 0 100.0 MACT Source Categories : Consumer Product Manufacturing Facilities 6818 POINT 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Cattle and Calves Waste Emissions 280502 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Swine 2805025 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Poultry 2805030 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Beef Cattle 280500 AREA 0 100.0

Miscellaneous Area Source s-Domestic Animals Waste Emissions 2806 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Dairy Cattle 280501 AREA 0 100.0

Miscellaneous Area Sources-Wild Animals Waste Emissions 2807 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Horses and Ponies 2805035 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Goats 2805045 AREA 0 100.0

Mobile Sources-Highway Vehicles-Gasoline 2201 AREA 0 100.0Miscellaneous Area Sources-Agriculture ProductionLivestock-Sheep and Lambs 2805040 AREA 0 100.0

Mobile Sources-Highway Vehicles-Diesel 2230 AREA 0 100.0 Inorganic Chemical Storage & Transport 252 AREA 0 100.0 Stationary Source Fuel Combustion-Electric Utility 2101 AREA 0 100.0 Totals for All Categories 5,152,190 100

### A-8 Table A-3. Summary of Annual CO Emissions for the CENRAP Region by Category, Sector, and Pollutant

CO

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Mobile Sources-Highway Vehicles-Gasoline 2201 ON-ROAD 11,701,959 52.15 52.15 Mobile Sources-Off-highway Vehicle Gasoline, 4- Stroke 2265 NONROAD 2,603,360 11.6 63.75

Miscellaneous Area Sources-Agricultural ProductionCrops-Field Burning 28015 AREA 1,401,805 6.25 70

Mobile Sources-Pleasure Craft 2282 NONROAD 1,325,323 5.91 75.91 Miscellaneous Area Sources-Other Combustion 2810 AREA 1,024,320 4.57 80.48 Miscellaneous Area Sources-Other Co mbustion 2810 POINT 815,770 3.64 84.12 Mobile Sources-Off-highway Vehicle Gasoline, 2- Stroke 2260 NONROAD 445,995 1.99 86.11

Stationary Source Fuel Combustion-Residential 2104 AREA 399,828 1.78 87.89 Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 AREA 324,217 1.44 89.33

External Combustion Boilers-Electri c Generation 1010 POINT 275,840 1.23 90.56 Industrial Processes-O il and Gas Production: SIC 13 2310 AREA 250,117 1.11 91.67 Open Burning-Waste Disposal, Treatment, and Recovery 261 AREA 247,871 1.1 92.77

Mobile Sources-Off-highway Vehicle Diesel 2270 NONROAD 247,141 1.1 93.87 Industrial Processes-Chemical Manufacturing 301 POINT 169,464 0.76 94.63 Mobile Sources-LPG 2267 NONROAD 165,799 0.74 95.37 Internal Combustion Engines-Industrial 2020 POINT 153,390 0.68 96.05 Mobile Sources-Highway Vehicles-Diesel 2230 ON-ROAD 133,025 0.59 96.64 External Combustion Boilers-Industrial 1020 POINT 121,221 0.54 97.18 Industrial Processes-Pr imary Metal Production 303 POINT 96,722 0.43 97.61 Industrial Processes-Mineral Pr oducts 305 POINT 63,534 0.28 97.89 Mobile Sources-Aircraft 2275 NONROAD 58,554 0.26 98.15Miscellaneous Area Sources-Agricultural ProductionCrops 2801 AREA 55,100 0.25 98.4

Industrial Processes-Petroleum Industry 306 POINT 52,513 0.23 98.63 Stationary Source Fuel Combustion-Industrial 2102 AREA 44,836 0.2 98.83 Mobile Sources-Railroad Equipment 2285 NONROAD 43,426 0.19 99.02 Industrial Processes-Pulp and Paper and Wood Products 307 POINT 39,842 0.18 99.2

Mobile Sources-CNG 2268 NONROAD 26,035 0.12 99.32Stationary Source Fuel CombustionCommercial/Institutional 2103 AREA 19,902 0.09 99.41

Industrial Processes-Secondary Meta l Production 304 POINT 19,676 0.09 99.5 Mobile Sources-Marine Vessels, Commercial 2280 NONROAD 18,111 0.08 99.58 Industrial Processes-Food and Agri culture 302 POINT 13,602 0.06 99.64 Industrial Processes-Oil and Gas Production 310 POINT 10,021 0.04 99.68 Internal Combustion Engines-Electri c Generation 2010 POINT 10,003 0.04 99.72 Mobile Sources-Aircraft 2275 POINT 9,552 0.04 99.76 Mobile Sources-Off-highway Vehicle Gasoline, 4- Stroke 2265 POINT 7,992 0.04 99.8

Industrial Processes-In-process Fuel Use 390 POINT 6,917 0.03 99.83 External Combustion Boilers-Commercial/Institutional 1030 POINT 6,566 0.03 99.86 Industrial Processes-Food and Kindred Products: SIC 20 2302 AREA 5,540 0.02 99.88

Industrial Processes-Miscellaneous Manufacturing Industries 399 POINT 4,282 0.02 99.9

Waste Disposal-Solid Waste Dispos al-Government 501 POINT 4,094 0.02 99.92 Waste Disposal, Treatment, and Recovery-On-site Incineration 2601 AREA 3,687 0.02 99.94

Internal Combustion Engines-Commercia l/Institutional 2030 POINT 3,660 0.02 99.96 Waste Disposal-Solid Waste Dispos al-Industrial 503 POINT 1,368 0.01 99.97 Internal Combustion Engines-Engi ne Testing 2040 POINT 1,325 0.01 99.98 Miscellaneous Area Sources-Aircraft/Rocket Engine Firing and Testing 2810040 AREA 842 0 99.98

Waste Disposal-Solid Waste DisposalCommercial/Institutional 502 POINT 733 0 99.98

### Table A-3 (continued)

A-9 CO

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Petroleum and Solvent Evaporation-Surface Coating Operations 402 POINT 540 0 99.98

Petroleum and Solvent Evaporation-Organic Solvent Evaporation 401 POINT 390 0 99.98

Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 POINT 340 0 99.98

Bulk Materials Transport & Transport 253 AREA 305 0 99.98 Petroleum and Solvent Evaporation-Transportation and Marketing of Petroleum Products 406 POINT 279 0 99.98

Petroleum and Solvent Evapor ation-Petroleum Liquids Storage (non-Refinery) 4040 POINT 277 0 99.98

External Combustion Boilers-Space Heaters 1050 POINT 258 0 99.98 Industrial Processes-Rubber and Miscellaneous Plastics Products 308 POINT 204 0 99.98

Industrial Processes-Fabricated Metal Products 309 POINT 191 0 99.98 Industrial Processes-Industrial Processes: NEC 2399 AREA 140 0 99.98 Internal Combustion Engines-Fugiti ve Emissions 2888 POINT 134 0 99.98 Petroleum and Solvent Evaporation-Petroleum Product Storage at Refineries 403 POINT 128 0 99.98

Waste Disposal-Site Remediation 504 POINT 116 0 99.98 Industrial Processes-Machinery, Miscellaneous 3129 POINT 72 0 99.98 Petroleum and Solvent Evaporation-Organic Chemical Transportation 4089 POINT 66 0 99.98

Mobile Sources-Off-highway Vehicle Diesel 2270 POINT 56 0 99.98 Industrial Processes-Electrical Equipment 313 POINT 51 0 99.98 Petroleum and Solvent Evaporation-Organic Chemical Storage 407 POINT 48 0 99.98

Petroleum and Solvent Evaporation-Pr inting/Publishing 405 POINT 31 0 99.98 MACT Source Categorie s-Miscellaneous Processes (Chemicals) 6848 POINT 20 0 99.98

Petroleum and Solvent Evaporation- 4250 POINT 9 0 99.98 MACT Source Categories : Vinyl-based Resins 6463 POINT 9 0 99.98 Industrial Processes-Transportati on Equipment 314 POINT 2 0 99.98 Industrial Processes-Leather and Leather Products 3209 POINT 2 0 99.98 Internal Combustion Engi nes-Off-highway Diesel Engines 2700 POINT 2 0 99.98

Industrial Processes-Textile Products 330 POINT 2 0 99.98Miscellaneous Area Sources-Agricultural ProductionCrops 2801 POINT 2 0 99.98

Waste Disposal, Treatment, and Recovery-Landfills 2620 POINT 1 0 99.98 Industrial Processes-Cooling Tower 3850 POINT 0 0 99.98 MACT Source Categories : Cellulose-based Resins 644 POINT 0 0 99.98 Industrial Processes-Photo Equip/Health Care/Labs/Air Condit/SwimPools 3150 POINT 0 0 100.0

Industrial Processes-Building C onstruction 3110 POINT 0 100.0 Petroleum and Solvent Evaporation : Organic Chemical Transportation 4088 POINT 0 100.0

Mobile Sources-Unpaved Roads 2296 POINT 0 100.0 Mobile Sources-Paved Roads 2294 POINT 0 100.0 Petroleum and Petroleum Product Storage & Transport-Other 250 AREA 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Commercial 24610 - 24 AREA 0 100.0

MACT Source Categories-Inorganic Chemicals Manufacturing 6513 POINT 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Consumer and Commercial 24600 - 24 AREA 0 100.0

Industrial Surface Coating 2401015000 AREA 0 100.0 Architectural Coatings 2401001000 AREA 0 100.0 Gas Marketing Stage II 25010601 AREA 0 100.0 Degreasing 2415 AREA 0 100.0 Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465 AREA 0 100.0

Gas Marketing Stage I 25010600 AREA 0 100.0

### Table A-3 (continued)

A-10 CO

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Graphic Arts 2425 AREA 0 100.0 Solvent Utilization-Dry Cleaning 2420 AREA 0 100.0 Solvent Utilization-Miscellaneous Industrial 2440020000 AREA 0 100.0 Auto Refinishing 2401005000 AREA 0 100.0 Waste Disposal, Treatment, and Recovery-Wastewater Treatment 2630 AREA 0 100.0

Traffic Markings 2401008000 AREA 0 100.0 Waste Disposal, Treatment, and Recovery-Landfills 2620 AREA 0 100.0 Rubber/Plastics 2430000000 AREA 0 100.0 Waste Disposal, Treatment, and Recovery-TSDFs 2640 AREA 0 100.0 Miscellaneous Area Sources-Catastrophic/Accidental Releases 2830 AREA 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465000000 AREA 0 100.0

Waste Disposal, Treatment, and Recovery-Leaking Underground Storage Tanks 2660 AREA 0 100.0

Mobile Sources-Aircraft 2275 AREA 0 100.0 Petroleum and Solvent Evaporation : Dry Cleaning 410 POINT 0 100.0 MACT Source Categories : Styrene or Methacrylate Based Resins 6413 POINT 0 100.0

MACT Source Categories-Miscell aneous Resins 6452 POINT 0 100.0 MACT Source Categories : Agricultural Chemicals Production 631 POINT 0 100.0

MACT Source Categories : Food and Agricultural Processes 6258 POINT 0 100.0

MACT Source Categories-Miscellaneous Processes 6828 POINT 0 100.0 MACT Source Categories-Miscellaneous Processes 6824 POINT 0 100.0 Mobile Sources-Unpaved Roads 2296 AREA 0 100.0 Industrial Processes-Constructi on: SIC 15-17 2311 AREA 0 100.0 Mobile Sources-Paved Roads 2294 AREA 0 100.0 Industrial Processes-Mining and Qua rrying: SIC 14 2325 AREA 0 100.0Miscellaneous Area Sources-Agricultural ProductionCrops-Tilling & Harvesting 28010 AREA 0 100.0

Industrial Processes-Printing and Publishing 3600 POINT 0 100.0 MACT Source Categories : Consumer Product Manufacturing Facilities 6818 POINT 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Cattle and Calves Waste Emissions 280502 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Swine 2805025 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Poultry 2805030 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Beef Cattle 280500 AREA 0 100.0

Miscellaneous Area Sources-Do mestic Animals Waste Emissions 2806 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Dairy Cattle 280501 AREA 0 100.0

Miscellaneous Area Sources-Wild Animals Waste Emissions 2807 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Horses and Ponies 2805035 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Goats 2805045 AREA 0 100.0

Mobile Sources-Highway Vehicles-Gasoline 2201 AREA 0 100.0Miscellaneous Area Sources-Agriculture ProductionLivestock-Sheep and Lambs 2805040 AREA 0 100.0

Mobile Sources-Highway Vehicles-Diesel 2230 AREA 0 100.0 Inorganic Chemical Storage & Transport 252 AREA 0 100.0 Stationary Source Fuel Combustion-Electric Utility 2101 AREA 0 100.0 Totals for All Categories 22,438,555 100

### A-11 Table A-4. Summary of Annual SO2 Emissions for the CENRAP Region by Category, Sector, and Pollutant

SO 2
Category Category Number Sector Tons/Year Percent of Total Cumulative Percent External Combustion Boilers-Electri c Generation 1010 POINT 1,494,256 59.12 59.12 External Combustion Boilers-Industrial 1020 POINT 206,419 8.17 67.29 Stationary Source Fuel Combustion-Industrial 2102 AREA 167,312 6.62 73.91 Industrial Processes-Chemical Manufacturing 301 POINT 144,828 5.73 79.64 Industrial Processes-Petroleum Industry 306 POINT 109,937 4.35 83.99 Industrial Processes-Mineral Products 305 POINT 76,034 3.01 87 Industrial Processes-Pr imary Metal Production 303 POINT 67,869 2.69 89.69 Industrial Processes-Oil and Gas Production 310 POINT 30,484 1.21 90.9 Mobile Sources-Highway Vehicles-Gasoline 2201 ON-ROAD 29,525 1.17 92.07 Mobile Sources-Railroad Equipment 2285 NONROAD 21,802 0.86 92.93 Industrial Processes-Secondary Meta l Production 304 POINT 21,051 0.83 93.76 Mobile Sources-Off-highway Vehicle Diesel 2270 NONROAD 20,861 0.83 94.59 Mobile Sources-Marine Vessels, Commercial 2280 NONROAD 19,342 0.77 95.36Miscellaneous Area Sources-Agricultural ProductionCrops-Field Burning 28015 AREA 19,033 0.75 96.11

Stationary Source Fuel CombustionCommercial/Institutional 2103 AREA 18,473 0.73 96.84

Mobile Sources-Highway Vehicles-Diesel 2230 ON-ROAD 15,153 0.6 97.44 Industrial Processes-In-process Fuel Use 390 POINT 11,995 0.47 97.91 Industrial Processes-Miscellaneous Manufacturing Industries 399 POINT 8,586 0.34 98.25

Stationary Source Fuel Combustion-Residential 2104 AREA 7,063 0.28 98.53 Industrial Processes-Pulp and Paper and Wood Products 307 POINT 6,439 0.25 98.78

External Combustion Boilers-Commercial/Institutional 1030 POINT 5,781 0.23 99.01 Miscellaneous Area Sources-Other Co mbustion 2810 POINT 4,699 0.19 99.2 Miscellaneous Area Sources-Other Combustion 2810 AREA 4,287 0.17 99.37 Petroleum and Solvent Evaporation-Petroleum Product Storage at Refineries 403 POINT 1,589 0.06 99.43

Waste Disposal-Solid Waste Dispos al-Industrial 503 POINT 1,585 0.06 99.49 Industrial Processes-Food and Agri culture 302 POINT 1,558 0.06 99.55 Mobile Sources-Aircraft 2275 NONROAD 1,511 0.06 99.61 Mobile Sources-Pleasure Craft 2282 NONROAD 1,180 0.05 99.66 Internal Combustion Engines-Industrial 2020 POINT 1,176 0.05 99.71 Waste Disposal-Solid Waste Dispos al-Government 501 POINT 1,164 0.05 99.76 Internal Combustion Engines-Elect ric Generation 2010 POINT 994 0.04 99.8 Open Burning-Waste Disposal, Treatment, and Recovery 261 AREA 821 0.03 99.83

Petroleum and Solvent Evaporation-Organic Solvent Evaporation 401 POINT 749 0.03 99.86

Mobile Sources-Off-highway Vehicle Gasoline, 4- Stroke 2265 NONROAD 711 0.03 99.89

Waste Disposal, Treatment, and Recovery-On-site Incineration 2601 AREA 680 0.03 99.92

Waste Disposal-Site Remediation 504 POINT 635 0.03 99.95 Mobile Sources-Off-highway Vehicle Gasoline, 2- Stroke 2260 NONROAD 328 0.01 99.96

Industrial Processes-I ndustrial Processes: NEC 2399 AREA 307 0.01 99.97 Petroleum and Solvent Evaporation-Transportation and Marketing of Petroleum Products 406 POINT 204 0.01 99.98

Mobile Sources-Aircraft 2275 POINT 183 0.01 99.99 Bulk Materials Transport & Transport 253 AREA 172 0.01 100.0 Internal Combustion Engines-Commercia l/Institutional 2030 POINT 151 0.01 100.0 Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 AREA 99 0 100.0

Mobile Sources-LPG 2267 NONROAD 71 0 100.0 Petroleum and Solvent Evaporation-Organic Chemical Storage 407 POINT 62 0 100.0

Internal Combustion Engines-E ngine Testing 2040 POINT 53 0 100.0 Industrial Processes-Fabricated Metal Products 309 POINT 52 0 100.0

### Table A-4 (continued)

A-12 SO 2
Category Category Number Sector Tons/Year Percent of Total Cumulative PercentWaste Disposal-Solid Waste DisposalCommercial/Institutional 502 POINT 48 0 100.0

Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 POINT 47 0 100.0

Mobile Sources-Off-highway Vehicle Diesel 2270 POINT 30 0 100.0 Petroleum and Solvent Evaporation-Surface Coating Operations 402 POINT 13 0 100.0

Miscellaneous Area Sources-Aircraft/Rocket Engine Firing and Testing 2810040 AREA 13 0 100.0

External Combustion Boilers-Space Heaters 1050 POINT 12 0 100.0 Industrial Processes-Electrical Equipment 313 POINT 9 0 100.0 Mobile Sources-CNG 2268 NONROAD 7 0 100.0 Petroleum and Solvent Evaporation-Organic Chemical Transportation 4089 POINT 5 0 100.0

Mobile Sources-Off-highway Vehicle Gasoline, 4- Stroke 2265 POINT 5 0 100.0

Industrial Processes-Transportati on Equipment 314 POINT 4 0 100.0 Industrial Processes-Rubber and Miscellaneous Plastics Products 308 POINT 4 0 100.0

Industrial Processes-Machinery, Miscellaneous 3129 POINT 3 0 100.0 Petroleum and Solvent Evapor ation-Petroleum Liquids Storage (non-Refinery) 4040 POINT 1 0 100.0

Petroleum and Solvent Evaporation-Pr inting/Publishing 405 POINT 1 0 100.0 Internal Combustion Engines-Fugiti ve Emissions 2888 POINT 1 0 100.0Miscellaneous Area Sources-Agricultural ProductionCrops 2801 POINT 0 0 100.0

MACT Source Categories : Vinyl-based Resins 6463 POINT 0 0 100.0 Industrial Processes-Cooling Tower 3850 POINT 0 0 100.0 Petroleum and Solvent Evaporation- 4250 POINT 0 0 100.0 MACT Source Categories : Cellulose-based Resins 644 POINT 0 0 100.0 Internal Combustion Engi nes-Off-highway Diesel Engines 2700 POINT 0 100.0

Industrial Processes-Textile Products 330 POINT 0 100.0 Industrial Processes-Photo Equip/Health Care/Labs/Air Condit/SwimPools 3150 POINT 0 100.0

Industrial Processes-Building C onstruction 3110 POINT 0 100.0 Petroleum and Solvent Evaporation : Organic Chemical Transportation 4088 POINT 0 100.0

Industrial Processes-O il and Gas Production: SIC 13 2310 AREA 0 100.0Miscellaneous Area Sources-Agricultural ProductionCrops 2801 AREA 0 100.0

Industrial Processes-Food and Kindred Products: SIC 20 2302 AREA 0 100.0

MACT Source Categorie s-Miscellaneous Processes (Chemicals) 6848 POINT 0 100.0

Industrial Processes-Leather and Leat her Products 3209 POINT 0 100.0 Waste Disposal, Treatment, and Recovery-Landfills 2620 POINT 0 100.0 Mobile Sources-Unpaved Roads 2296 POINT 0 100.0 Mobile Sources-Paved Roads 2294 POINT 0 100.0 Petroleum and Petroleum Product Storage & Transport-Other 250 AREA 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Commercial 24610 - 24 AREA 0 100.0

MACT Source Categories-Inorganic Chemicals Manufacturing 6513 POINT 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Consumer and Commercial 24600 - 24 AREA 0 100.0

Industrial Surface Coating 2401015000 AREA 0 100.0 Architectural Coatings 2401001000 AREA 0 100.0 Gas Marketing Stage II 25010601 AREA 0 100.0 Degreasing 2415 AREA 0 100.0 Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465 AREA 0 100.0

Gas Marketing Stage I 25010600 AREA 0 100.0

### Table A-4 (continued)

A-13 SO 2
Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Graphic Arts 2425 AREA 0 100.0 Solvent Utilization-Dry Cleaning 2420 AREA 0 100.0 Solvent Utilization-Miscellaneous Industrial 2440020000 AREA 0 100.0 Auto Refinishing 2401005000 AREA 0 100.0 Waste Disposal, Treatment, and Recovery-Wastewater Treatment 2630 AREA 0 100.0

Traffic Markings 2401008000 AREA 0 100.0 Waste Disposal, Treatment, and Recovery-Landfills 2620 AREA 0 100.0 Rubber/Plastics 2430000000 AREA 0 100.0 Waste Disposal, Treatment, and Recovery-TSDFs 2640 AREA 0 100.0 Miscellaneous Area Sources-Catastrophic/Accidental Releases 2830 AREA 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465000000 AREA 0 100.0

Waste Disposal, Treatment, and Recovery-Leaking Underground Storage Tanks 2660 AREA 0 100.0

Mobile Sources-Aircraft 2275 AREA 0 100.0 Petroleum and Solvent Evaporation : Dry Cleaning 410 POINT 0 100.0 MACT Source Categories : Styrene or Methacrylate Based Resins 6413 POINT 0 100.0

MACT Source Categories-Miscell aneous Resins 6452 POINT 0 100.0 MACT Source Categories : Agricultural Chemicals Production 631 POINT 0 100.0

MACT Source Categories : Food and Agricultural Processes 6258 POINT 0 100.0

MACT Source Categories-Miscellaneous Processes 6828 POINT 0 100.0 MACT Source Categories-Miscellaneous Processes 6824 POINT 0 100.0 Mobile Sources-Unpaved Roads 2296 AREA 0 100.0 Industrial Processes-Constructi on: SIC 15-17 2311 AREA 0 100.0 Mobile Sources-Paved Roads 2294 AREA 0 100.0 Industrial Processes-Mining and Qua rrying: SIC 14 2325 AREA 0 100.0Miscellaneous Area Sources-Agricultural ProductionCrops-Tilling & Harvesting 28010 AREA 0 100.0

Industrial Processes-Printing and Publishing 3600 POINT 0 100.0 MACT Source Categories : Consumer Product Manufacturing Facilities 6818 POINT 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Cattle and Calves Waste Emissions 280502 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Swine 2805025 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Poultry 2805030 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Beef Cattle 280500 AREA 0 100.0

Miscellaneous Area Sources-Do mestic Animals Waste Emissions 2806 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Dairy Cattle 280501 AREA 0 100.0

Miscellaneous Area Sources-Wild Animals Waste Emissions 2807 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Horses and Ponies 2805035 AREA 0 100.0

Miscellaneous Area Sources-Agriculture ProductionLivestock-Goats 2805045 AREA 0 100.0

Mobile Sources-Highway Vehicles-Gasoline 2201 AREA 0 100.0Miscellaneous Area Sources-Agriculture ProductionLivestock-Sheep and Lambs 2805040 AREA 0 100.0

Mobile Sources-Highway Vehicles-Diesel 2230 AREA 0 100.0 Inorganic Chemical Storage & Transport 252 AREA 0 100.0 Stationary Source Fuel Combustion-Electric Utility 2101 AREA 0 100.0 Totals for All Categories 2,527,461 100

### A-14 Table A-5. Summary of Annual PM10- PRI and PM25-PRI Emissions for the CENRAP Region by Category, Sector, and Pollutant

PM10-PRI PM25-PRI

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Tons/Year Percent of Total Cumulative Percent Mobile Sources-Unpaved Roads 2296 AREA 3,882,376 52.16 52.16 580,684 31.52 31.52Miscellaneous Area SourcesAgricultural Production-Crops 2801 AREA 1,296,636 17.42 69.58 264,667 14.36 45.88

Industrial ProcessesConstruction: SIC 15-17 2311 AREA 514,614 6.91 76.49 102,936 5.59 51.47

Mobile Sources-Paved Roads 2294 AREA 474,749 6.38 82.87 76,386 4.15 55.62Miscellaneous Area SourcesAgricultural Production-CropsField Burning 28015 AREA 177,533 2.39 85.26 141,020 7.65 63.27

Industrial Processes-Mining and Quarrying: SIC 14 2325 AREA 175,633 2.36 87.62 35,123 1.91 65.18

Miscellaneous Area SourcesOther Combustion 2810 AREA 112,081 1.51 89.13 99,695 5.41 70.59

Miscellaneous Area SourcesAgriculture Production-LivestockBeef Cattle 280500 AREA 96,895 1.3 90.43 14,534 0.79 71.38

Miscellaneous Area SourcesOther Combustion 2810 POINT 77,277 1.04 91.47 65,532 3.56 74.94

External Combustion BoilersElectric Generation 1010 POINT 72,073 0.97 92.44 47,444 2.57 77.51

Industrial Processes-Food and Agriculture 302 POINT 61,143 0.82 93.26 11,534 0.63 78.14

Stationary Source Fuel Combustion-Residential 2104 AREA 56,646 0.76 94.02 56,465 3.06 81.2

Open Burning-Waste Disposal, Treatment, and Recovery 261 AREA 53,903 0.72 94.74 51,277 2.78 83.98

External Combustion BoilersIndustrial 1020 POINT 48,724 0.65 95.39 41,768 2.27 86.25

Mobile Sources-Off-highway Vehicle Diesel 2270 NONROAD 43,537 0.58 95.97 40,617 2.2 88.45

Industrial Processes-Mineral Products 305 POINT 36,258 0.49 96.46 14,499 0.79 89.24

Miscellaneous Area SourcesPrescribed Rangeland Burning 2810020 AREA 32,949 0.44 96.9 27,910 1.51 90.75

Mobile Sources-Pleasure Craft 2282 NONROAD 26,735 0.36 97.26 24,696 1.34 92.09 Stationary Source Fuel Combustion-Industrial 2102 AREA 19,639 0.26 97.52 12,136 0.66 92.75

Mobile Sources-Highway Vehicles-Diesel 2230 ON-ROAD 19,429 0.26 97.78 16,766 0.91 93.66

Industrial Processes-Chemical Manufacturing 301 POINT 16,165 0.22 98 11,402 0.62 94.28

Industrial Processes-Food and Kindred Products: SIC 20 2302 AREA 15,078 0.2 98.2 14,041 0.76 95.04

Industrial Processes-Primary Metal Production 303 POINT 13,927 0.19 98.39 3,318 0.18 95.22

Mobile Sources-Highway Vehicles-Gasoline 2201 ON-ROAD 13,637 0.18 98.57 6,763 0.37 95.59

Internal Combustion EnginesIndustrial 2020 POINT 13,364 0.18 98.75 13,054 0.71 96.3

Industrial Processes-Pulp and Paper and Wood Products 307 POINT 13,155 0.18 98.93 7,724 0.42 96.72

Industrial Processes-Petroleum Industry 306 POINT 12,654 0.17 99.1 10,403 0.56 97.28

Mobile Sources-Railroad Equipment 2285 NONROAD 8,989 0.12 99.22 8,108 0.44 97.72

Mobile Sources-Off-highway Vehicle Gasoline, 2-Stroke 2260 NONROAD 7,247 0.1 99.32 6,699 0.36 98.08

Stationary Source FuelCombustionCommercial/Institutional 2103 AREA 6,923 0.09 99.41 6,529 0.35 98.43

### Table A-5 (continued)

A-15 PM10-PRI PM25-PRI

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Tons/Year Percent of Total Cumulative Percent Industrial Processes-Cooling Tower 3850 POINT 6,403 0.09 99.5 5,470 0.3 98.73

Industrial Processes-Secondary Metal Production 304 POINT 6,101 0.08 99.58 3,787 0.21 98.94

Miscellaneous Area SourcesAgricultural Production-CropsTilling & Harvesting 28010 AREA 3,465 0.05 99.63 92 0 98.94

Industrial ProcessesMiscellaneous Manufacturing Industries 399 POINT 3,310 0.04 99.67 1,921 0.1 99.04

Industrial Processes-In-process Fuel Use 390 POINT 3,264 0.04 99.71 1,187 0.06 99.1

Internal Combustion EnginesElectric Generation 2010 POINT 3,262 0.04 99.75 3,176 0.17 99.27

Mobile Sources-Marine Vessels, Commercial 2280 NONROAD 2,798 0.04 99.79 2,574 0.14 99.41

Industrial Processes-Industrial Processes: NEC 2399 AREA 2,637 0.04 99.83 1,827 0.1 99.51

External Combustion BoilersCommercial/Institutional 1030 POINT 1,587 0.02 99.85 1,183 0.06 99.57

Petroleum and Solvent Evaporation-Surface Coating Operations 402 POINT 1,454 0.02 99.87 1,200 0.07 99.64

Industrial Processes-Fabricated Metal Products 309 POINT 1,254 0.02 99.89 501 0.03 99.67

Waste Disposal-Solid Waste Disposal-Government 501 POINT 976 0.01 99.9 508 0.03 99.7

Waste Disposal, Treatment, and Recovery-On-site Incineration 2601 AREA 854 0.01 99.91 609 0.03 99.73

Mobile Sources-Off-highway Vehicle Gasoline, 4-Stroke 2265 NONROAD 753 0.01 99.92 703 0.04 99.77

Industrial Processes-Rubber and Miscellaneous Plastics Products 308 POINT 636 0.01 99.93 264 0.01 99.78

Petroleum and Solvent Evaporation-Petroleum Product Storage at Refineries 403 POINT 568 0.01 99.94 471 0.03 99.81

Mobile Sources-Aircraft 2275 NONROAD 441 0.01 99.95 349 0.02 99.83 Industrial Processes-Oil and Gas Production 310 POINT 440 0.01 99.96 419 0.02 99.85

Waste Disposal-Solid Waste Disposal-Industrial 503 POINT 436 0.01 99.97 301 0.02 99.87

Petroleum and Petroleum Product Storage & Transport-Other 250 AREA 387 0.01 99.98 387 0.02 99.89

Waste Disposal-Solid Waste Disposal-Commercial/Institutional 502 POINT 276 0 99.98 174 0.01 99.9

Internal Combustion EnginesCommercial/Institutional 2030 POINT 220 0 99.98 219 0.01 99.91

Mobile Sources-LPG 2267 NONROAD 192 0 99.98 190 0.01 99.92 Petroleum and Solvent Evaporation-Organic Solvent Evaporation 401 POINT 185 0 99.98 151 0.01 99.93

Mobile Sources-Aircraft 2275 POINT 160 0 99.98 113 0.01 99.94Miscellaneous Area SourcesPrescribed Rangeland Burning 2810020 POINT 158 0 99.98 126 0.01 99.95

Miscellaneous Area SourcesCatastrophic/Accidental Releases 2830 AREA 131 0 99.98 131 0.01 99.96

MACT Source Categories : Vinylbased Resins 6463 POINT 118 0 99.98 77 0 99.96

Waste Disposal-Site Remediation 504 POINT 102 0 99.98 65 0 99.96 Solvent Utilization-Miscellaneous Non-industrial: Commercial 24610 - 24 AREA 91 0 99.98 91 0 99.96

Internal Combustion EnginesFugitive Emissions 2888 POINT 84 0 99.98 80 0 99.96

Industrial Processes-Machinery, Miscellaneous 3129 POINT 64 0 99.98 54 0 99.96

### Table A-5 (continued)

A-16 PM10-PRI PM25-PRI

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Tons/Year Percent of Total Cumulative PercentInternal Combustion EnginesEngine Testing 2040 POINT 60 0 99.98 54 0 99.96

Bulk Materials Transport & Transport 253 AREA 56 0 99.98 56 0 99.96

Petroleum and Solvent Evaporation-Organic Chemical Storage 407 POINT 53 0 99.98 44 0 99.96

Industrial ProcessesTransportation Equipment 314 POINT 51 0 99.98 31 0 99.96

Petroleum and Solvent Evaporation-Printing/Publishing 405 POINT 41 0 99.98 34 0 99.96

External Combustion BoilersSpace Heaters 1050 POINT 36 0 99.98 35 0 99.96

Petroleum and Solvent Evaporation-Transportation and Marketing of Petroleum Products 406 POINT 30 0 99.98 25 0 99.96

Mobile Sources-CNG 2268 NONROAD 28 0 99.98 27 0 99.96Miscellaneous Area SourcesAgriculture Production-LivestockDairy Cattle 280501 AREA 26 0 99.98 3 0 99.96

Industrial Processes-Electrical Equipment 313 POINT 23 0 99.98 21 0 99.96

Mobile Sources-Unpaved Roads 2296 POINT 21 0 99.98 21 0 99.96 Mobile Sources-Off-highway Vehicle Diesel 2270 POINT 12 0 99.98 11 0 99.96

Industrial Processes-Leather and Leather Products 3209 POINT 6 0 99.98 1 0 99.96

Industrial Processes-Building Construction 3110 POINT 5 0 99.98 1 0 99.96

MACT Source CategoriesMiscellaneous Processes 6824 POINT 4 0 99.98 1 0 99.96

Petroleum and Solvent Evaporation-Organic Chemical Transportation 4089 POINT 3 0 99.98 2 0 99.96

Petroleum and Solvent Evaporation-Petroleum Liquids Storage (non-Refinery) 4040 POINT 2 0 99.98 2 0 99.96

MACT Source Categories : Styrene or Methacrylate Based Resins 6413 POINT 2 0 99.98 1 0 99.96

Industrial Processes-Textile Products 330 POINT 2 0 99.98 2 0 99.96

Mobile Sources-Off-highway Vehicle Gasoline, 4-Stroke 2265 POINT 2 0 99.98 2 0 99.96

Mobile Sources-Paved Roads 2294 POINT 1 0 99.98 1 0 99.96Miscellaneous Area SourcesAgricultural Production-Crops 2801 POINT 1 0 99.98 1 0 99.96

Miscellaneous Area SourcesAircraft/Rocket Engine Firing and Testing 2810040 AREA 1 0 99.98 0 0 99.96

MACT Source Categories : Agricultural Chemicals Production 631 POINT 0 0 100.0 0 0 99.96

Industrial Processes-Printing and Publishing 3600 POINT 0 0 100.0 0 0 99.96

Industrial Processes-Photo Equip/Health Care/Labs/Air Condit/SwimPools 3150 POINT 0 0 100.0 0 0 99.96

Petroleum and SolventEvaporation4250 POINT 0 0 100.0 0 0 99.96

Petroleum and Solvent Evaporation : Organic Chemical Transportation 4088 POINT 0 0 100.0 0 0 100.0

Waste Disposal, Treatment, and Recovery-Landfills 2620 POINT 0 100.0 0 100.0

### Table A-5 (continued)

A-17 PM10-PRI PM25-PRI

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Tons/Year Percent of Total Cumulative Percent MACT Source Categories : Cellulose-based Resins 644 POINT 0 100.0 0 100.0

Internal Combustion Engines-Offhighway Diesel Engines 2700 POINT 0 100.0 0 100.0

MACT Source CategoriesMiscellaneous Processes (Chemicals) 6848 POINT 0 100.0 0 100.0

MACT Source CategoriesInorganic Chemicals Manufacturing 6513 POINT 0 100.0 0 100.0

MACT Source CategoriesMiscellaneous Resins 6452 POINT 0 100.0 0 100.0

MACT Source Categories : Food and Agricultural Processes 6258 POINT 0 100.0 0 100.0

MACT Source CategoriesMiscellaneous Processes 6828 POINT 0 100.0 0 100.0

MACT Source Categories : Consumer Product Manufacturing Facilities 6818 POINT 0 100.0 0 100.0

Miscellaneous Area SourcesAgriculture Production-LivestockCattle and Calves Waste Emissions 280502 AREA 0 100.0 0 100.0

Miscellaneous Area SourcesAgriculture Production-LivestockSwine 2805025 AREA 0 100.0 0 100.0

Miscellaneous Area SourcesAgriculture Production-LivestockPoultry 2805030 AREA 0 100.0 0 100.0

Miscellaneous Area SourcesDomestic Animals Waste Emissions 2806 AREA 0 100.0 0 100.0

Miscellaneous Area Sources-Wild Animals Waste Emissions 2807 AREA 0 100.0 0 100.0

Miscellaneous Area SourcesAgriculture Production-LivestockHorses and Ponies 2805035 AREA 0 100.0 0 100.0

Miscellaneous Area SourcesAgriculture Production-LivestockGoats 2805045 AREA 0 100.0 0 100.0

Mobile Sources-Highway Vehicles-Gasoline 2201 AREA 0 100.0 0 100.0

Miscellaneous Area SourcesAgriculture Production-LivestockSheep and Lambs 2805040 AREA 0 100.0 0 100.0

Waste Disposal, Treatment, and Recovery-Wastewater Treatment 2630 AREA 0 100.0 0 100.0

Waste Disposal, Treatment, and Recovery-Landfills 2620 AREA 0 100.0 0 100.0

Mobile Sources-Highway Vehicles-Diesel 2230 AREA 0 100.0 0 100.0

Inorganic Chemical Storage & Transport 252 AREA 0 100.0 0 100.0

Stationary Source Fuel Combustion-Electric Utility 2101 AREA 0 100.0 0 100.0

Industrial Processes-Oil and Gas Production: SIC 13 2310 AREA 0 100.0 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Consumer and Commercial 24600 - 24 AREA 0 100.0 0 100.0

Industrial Surface Coating 2401015000 AREA 0 100.0 0 100.0 Architectural Coatings 2401001000 AREA 0 100.0 0 100.0 Gas Marketing Stage II 25010601 AREA 0 100.0 0 100.0 Degreasing 2415 AREA 0 100.0 0 100.0

### Table A-5 (continued)

A-18 PM10-PRI PM25-PRI

Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Tons/Year Percent of Total Cumulative Percent Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465 AREA 0 100.0 0 100.0

Gas Marketing Stage I 25010600 AREA 0 100.0 0 100.0 Graphic Arts 2425 AREA 0 100.0 0 100.0 Solvent Utilization-Dry Cleaning 2420 AREA 0 100.0 0 100.0 Solvent Utilization-Miscellaneous Industrial 2440020000 AREA 0 100.0 0 100.0

Auto Refinishing 2401005000 AREA 0 100.0 0 100.0 Traffic Markings 2401008000 AREA 0 100.0 0 100.0 Rubber/Plastics 2430000000 AREA 0 100.0 0 100.0 Waste Disposal, Treatment, and Recovery-TSDFs 2640 AREA 0 100.0 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465000000 AREA 0 100.0 0 100.0

Waste Disposal, Treatment, and Recovery-Leaking Underground Storage Tanks 2660 AREA 0 100.0 0 100.0

Mobile Sources-Aircraft 2275 AREA 0 100.0 0 100.0 Petroleum and Solvent Evaporation : Dry Cleaning 410 POINT 0 100.0 0 100.0

Totals for All Categories 7,443,244 100 1,842,509 100

### A-19 Table A-6. Summary of Annual NH3 Emissions for the CENRAP Region by Category, Sector, and Pollutant

NH 3
Category Category Number Sector Tons/Year Percent of Total Cumulative PercentMiscellaneous Area Sources-Agricultural ProductionCrops 2801 AREA 564,046 32.88 32.88

Miscellaneous Area Sources-Agriculture ProductionLivestock-Cattle and Calves Waste Emissions 280502 AREA 243,489 14.19 47.07

Miscellaneous Area Sources-Agriculture ProductionLivestock-Swine 2805025 AREA 187,598 10.93 58

Industrial Processes-Food and Agri culture 302 POINT 157,951 9.21 67.21Miscellaneous Area Sources-Agriculture ProductionLivestock-Poultry 2805030 AREA 138,222 8.06 75.27

Miscellaneous Area Sources-Agriculture ProductionLivestock-Beef Cattle 280500 AREA 118,941 6.93 82.2

Mobile Sources-Highway Vehicles-Gasoline 2201 ON-ROAD 46,621 2.72 84.92 Industrial Processes-I ndustrial Processes: NEC 2399 AREA 33,960 1.98 86.9 Miscellaneous Area Sources-Do mestic Animals Waste Emissions 2806 AREA 33,663 1.96 88.86

Miscellaneous Area Sources-Other Combustion 2810 AREA 32,201 1.88 90.74Miscellaneous Area Sources-Agriculture ProductionLivestock-Dairy Cattle 280501 AREA 22,407 1.31 92.05

Miscellaneous Area Sources-Agricultural ProductionCrops-Field Burning 28015 AREA 20,511 1.2 93.25

Miscellaneous Area Sources-Wild Animals Waste Emissions 2807 AREA 19,428 1.13 94.38

Industrial Processes-Chemical Manufacturing 301 POINT 14,199 0.83 95.21 Industrial Processes-Food and Kindred Products: SIC 20 2302 AREA 12,727 0.74 95.95

Miscellaneous Area Sources-Agriculture ProductionLivestock-Horses and Ponies 2805035 AREA 10,750 0.63 96.58

Miscellaneous Area Sources-Agriculture ProductionLivestock-Goats 2805045 AREA 8,483 0.49 97.07

Mobile Sources-Highway Vehicles-Gasoline 2201 AREA 8,295 0.48 97.55 Miscellaneous Area Sources-Other Co mbustion 2810 POINT 7,907 0.46 98.01Waste Disposal-Solid Waste DisposalCommercial/Institutional 502 POINT 4,521 0.26 98.27

Miscellaneous Area Sources-Agriculture ProductionLivestock-Sheep and Lambs 2805040 AREA 4,247 0.25 98.52

External Combustion Boilers-Electri c Generation 1010 POINT 4,126 0.24 98.76 External Combustion Boilers-Space Heaters 1050 POINT 3,752 0.22 98.98 Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 AREA 3,343 0.19 99.17

Waste Disposal, Treatment, and Recovery-Wastewater Treatment 2630 AREA 3,211 0.19 99.36

Stationary Source Fuel Combustion-Industrial 2102 AREA 1,824 0.11 99.47 Mobile Sources-Highway Vehicles-Diesel 2230 ON-ROAD 1,249 0.07 99.54 Industrial Processes-Pulp and Paper and Wood Products 307 POINT 1,188 0.07 99.61

Industrial Processes-Petroleum Industry 306 POINT 1,062 0.06 99.67 Waste Disposal-Solid Waste Dispos al-Government 501 POINT 974 0.06 99.73 Mobile Sources-CNG 2268 NONROAD 838 0.05 99.78 Waste Disposal, Treatment, and Recovery-Landfills 2620 AREA 587 0.03 99.81 Industrial Processes-Primary Me tal Production 303 POINT 539 0.03 99.84 Mobile Sources-Highway Vehicles-Diesel 2230 AREA 443 0.03 99.87 External Combustion Boilers-Industrial 1020 POINT 376 0.02 99.89 Internal Combustion Engines-Elect ric Generation 2010 POINT 323 0.02 99.91Stationary Source Fuel CombustionCommercial/Institutional 2103 AREA 258 0.02 99.93

Industrial Processes-Mineral Products 305 POINT 215 0.01 99.94 External Combustion Boilers-Commercial/Institutional 1030 POINT 197 0.01 99.95 Mobile Sources-Off-highway Vehicle Diesel 2270 NONROAD 168 0.01 99.96 Mobile Sources-Railroad Equipment 2285 NONROAD 147 0.01 99.97

### Table A-6 (continued)

A-20 NH 3
Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Petroleum and Solvent Evaporation-Organic Chemical Storage 407 POINT 126 0.01 99.98

Mobile Sources-Pleasure Craft 2282 NONROAD 96 0.01 99.99 Waste Disposal-Solid Waste Disp osal-Industrial 503 POINT 93 0.01 100.0 Stationary Source Fuel Combustion-Residential 2104 AREA 86 0 100.0 Internal Combustion Engines-Industrial 2020 POINT 77 0 100.0 Waste Disposal, Treatment, and Recovery-Landfills 2620 POINT 36 0 100.0 Petroleum and Solvent Evaporation-Petroleum Product Storage at Refineries 403 POINT 33 0 100.0

Mobile Sources-Off-highway Vehicle Gasoline, 4- Stroke 2265 NONROAD 32 0 100.0

Mobile Sources-Marine Vessels, Commercial 2280 NONROAD 28 0 100.0 Mobile Sources-Off-highway Vehicle Gasoline, 2- Stroke 2260 NONROAD 25 0 100.0

Inorganic Chemical Storage & Transport 252 AREA 22 0 100.0 Industrial Processes-Miscellaneous Manufacturing Industries 399 POINT 19 0 100.0

Petroleum and Solvent Evaporation-Organic Solvent Evaporation 401 POINT 17 0 100.0

Miscellaneous Area Sources-Prescribed Rangeland Burning 2810020 POINT 16 0 100.0

Industrial Processes-Rubber and Miscellaneous Plastics Products 308 POINT 14 0 100.0

Industrial Processes-Secondary Me tal Production 304 POINT 4 0 100.0 Petroleum and Solvent Evaporation-Surface Coating Operations 402 POINT 3 0 100.0

Industrial Processes-In-process Fuel Use 390 POINT 2 0 100.0 MACT Source Categories : Vinyl-based Resins 6463 POINT 1 0 100.0 Stationary Source Fuel Combustion-Electric Utility 2101 AREA 1 0 100.0 Industrial Processes-Oil and Ga s Production 310 POINT 0 0 100.0 Mobile Sources-Aircraft 2275 NONROAD 0 0 100.0 Petroleum and Solvent Evaporation-Organic Chemical Transportation 4089 POINT 0 0 100.0

Petroleum and Solvent Evaporation-Transportation and Marketing of Petroleum Products 406 POINT 0 0 100.0

Industrial Processes-Fabricated Metal Products 309 POINT 0 0 100.0 Industrial Processes-Electrical Equipment 313 POINT 0 0 100.0 Petroleum and Solvent Evaporation-Pr inting/Publishing 405 POINT 0 0 100.0 Industrial Processes-Leather and Leather Products 3209 POINT 0 0 100.0 Internal Combustion Engines-E ngine Testing 2040 POINT 0 0 100.0 Internal Combustion Engines-Commerc ial/Institutional 2030 POINT 0 0 100.0Miscellaneous Area Sources-Agricultural ProductionCrops 2801 POINT 0 0 100.0

Internal Combustion Engines-Fugiti ve Emissions 2888 POINT 0 100.0 Industrial Processes-Photo Equip/Health Care/Labs/Air Condit/SwimPools 3150 POINT 0 100.0

Open Burning-Waste Disposal, Treatment, and Recovery 261 AREA 0 100.0

Waste Disposal, Treatment, and Recovery-On-site Incineration 2601 AREA 0 100.0

Waste Disposal-Site Remediation 504 POINT 0 100.0 Mobile Sources-Aircraft 2275 POINT 0 100.0 Bulk Materials Transport & Transport 253 AREA 0 100.0 Mobile Sources-LPG 2267 NONROAD 0 100.0 Mobile Sources-Off-highway Vehicle Diesel 2270 POINT 0 100.0 Miscellaneous Area Sources-Aircraft/Rocket Engine Firing and Testing 2810040 AREA 0 100.0

Mobile Sources-Off-highway Vehicle Gasoline, 4- Stroke 2265 POINT 0 100.0

Industrial Processes-Transportati on Equipment 314 POINT 0 100.0 Industrial Processes-Machinery, Miscellaneous 3129 POINT 0 100.0 Petroleum and Solvent Evapor ation-Petroleum Liquids Storage (non-Refinery) 4040 POINT 0 100.0

Industrial Processes-Cooling Tower 3850 POINT 0 100.0

### Table A-6 (continued)

A-21 NH 3
Category Category Number Sector Tons/Year Percent of Total Cumulative Percent Petroleum and Solvent Evaporation- 4250 POINT 0 100.0 MACT Source Categories : Cellulose-based Resins 644 POINT 0 100.0 Internal Combustion Engi nes-Off-highway Diesel Engines 2700 POINT 0 100.0

Industrial Processes-Textile Products 330 POINT 0 100.0 Industrial Processes-Building C onstruction 3110 POINT 0 100.0 Petroleum and Solvent Evaporation : Organic Chemical Transportation 4088 POINT 0 100.0

Industrial Processes-O il and Gas Production: SIC 13 2310 AREA 0 100.0 MACT Source Categorie s-Miscellaneous Processes (Chemicals) 6848 POINT 0 100.0

Mobile Sources-Unpaved Roads 2296 POINT 0 100.0 Mobile Sources-Paved Roads 2294 POINT 0 100.0 Petroleum and Petroleum Product Storage & Transport-Other 250 AREA 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Commercial 24610 - 24 AREA 0 100.0

MACT Source Categories-Inorganic Chemicals Manufacturing 6513 POINT 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Consumer and Commercial 24600 - 24 AREA 0 100.0

Industrial Surface Coating 2401015000 AREA 0 100.0 Architectural Coatings 2401001000 AREA 0 100.0 Gas Marketing Stage II 25010601 AREA 0 100.0 Degreasing 2415 AREA 0 100.0 Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465 AREA 0 100.0

Gas Marketing Stage I 25010600 AREA 0 100.0 Graphic Arts 2425 AREA 0 100.0 Solvent Utilization-Dry Cleaning 2420 AREA 0 100.0 Solvent Utilization-Miscellaneous Industrial 2440020000 AREA 0 100.0 Auto Refinishing 2401005000 AREA 0 100.0 Traffic Markings 2401008000 AREA 0 100.0 Rubber/Plastics 2430000000 AREA 0 100.0 Waste Disposal, Treatment, and Recovery-TSDFs 2640 AREA 0 100.0 Miscellaneous Area Sources-Catastrophic/Accidental Releases 2830 AREA 0 100.0

Solvent Utilization-Miscellaneous Non-industrial: Consumer 2465000000 AREA 0 100.0

Waste Disposal, Treatment, and Recovery-Leaking Underground Storage Tanks 2660 AREA 0 100.0

Mobile Sources-Aircraft 2275 AREA 0 100.0 Petroleum and Solvent Evaporation : Dry Cleaning 410 POINT 0 100.0 MACT Source Categories : Styrene or Methacrylate Based Resins 6413 POINT 0 100.0

MACT Source Categories-Miscell aneous Resins 6452 POINT 0 100.0 MACT Source Categories : Agricultural Chemicals Production 631 POINT 0 100.0

MACT Source Categories : Food and Agricultural Processes 6258 POINT 0 100.0

MACT Source Categories-Miscellaneous Processes 6828 POINT 0 100.0 MACT Source Categories-Miscellaneous Processes 6824 POINT 0 100.0 Mobile Sources-Unpaved Roads 2296 AREA 0 100.0 Industrial Processes-Constructi on: SIC 15-17 2311 AREA 0 100.0 Mobile Sources-Paved Roads 2294 AREA 0 100.0 Industrial Processes-Mining and Qua rrying: SIC 14 2325 AREA 0 100.0Miscellaneous Area Sources-Agricultural ProductionCrops-Tilling & Harvesting 28010 AREA 0 100.0

Industrial Processes-Printing and Publishing 3600 POINT 0 100.0 MACT Source Categories : Consumer Product Manufacturing Facilities 6818 POINT 0 100.0

Totals for All Categories 1,715,717 100

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