Appendix H.2

Pechan, The Consolidation of Emissions Inventories (April 28, 2005)
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
[This page intentionally left blank.]
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 NH3 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 INVENTORIES 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 the CENRAP Region by Sector and Pollutant........ 4 

Table 2a. Summary of All Sector Source 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 Source Emissions by State and Pollutant................................... 6 

Table 2e. Summary of Onroad Source Emissions by State and Pollutant..................................... 6 

Table 3. Summary of 2002 Inventories that S/L/T Agencies Submitted to EPA .......................... 7 

Table 4. Summary of Pollutants, Number of Counties, and Number of Facilities 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 Number 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 Provided 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, Commercial/Institutional, and Residential Fossil Fuel 

Combustion Uncontrolled Emission Factors for PM10-PRI/FIL, PM25-PRI/FIL, 

and PM-CON ................................................................................................................................ 38 

Table 12. SCCs for which PM25-PRI Emissions were Estimated by Applying a Ratio to the 

PM10-PRI Emissions in the S/L/T inventory ............................................................................... 43 

Table 13. Summary of Pollutants and Number 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 Emission 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 Assignments for CENRAP Point Source SCCs...................... 66 

Table 19. New Temporal Profile Assignments for CENRAP Area Source SCCs ...................... 67 

Table 20. VOC Speciation Profiles Assigned to Area Source SCCs........................................... 69 

Table 21. VOC Speciation Profiles Assigned to Point Source SCCs........................................... 69 

Table 22. Surrogate profiles assigned to SCCs to support CENRAP EI..................................... 70 

Table 23. Spatial, Temporal and Speciation Allocation Data and Memos.................................. 71 

Table 24. Ancillary Data Descriptions......................................................................................... 72 
v 

Table 25. Summary of Mass Emissions and SMOKE Input Files............................................... 74 

Table 26. Profiles, Cross-Reference Tables, and Other Ancillary Data Provided to CENRAP that 

can be used with Emissions Preprocessors/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) winter, (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 

CO2 carbon dioxide

CH4 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 achievable 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 

NH3 ammonia 

NIF 3.0 NEI Input Format Version 3.0 

NOx 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 

PM10 particulate matter with an aerodynamic diameter less than or equal to a 

nominal 10 micrometers 

PM10-FIL filterable PM10 

PM10-PRI primary PM10

PM2.5 particulate matter with an aerodynamic diameter less than or equal to a 

nominal 2.5 micrometers 

PM25-FIL filterable PM2.5 

PM25-PRI primary PM2.5

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 

SO2 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, Chapel Hill – Carolina Environmental Program 

U.S. United States 

VISTAS Visibility Improvement State and Tribal Association of the Southeast 

VOC volatile organic compound 

WRAP Western Regional Air Partnership 
viii 

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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 (NH3) emissions inventories for point, area, and 

nonroad sources for the Central Regional Air 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 inventories to support air quality modeling, State 

Implementation Plan (SIP) development, and implementation activities for the regional haze rule 

and fine PM and ozone National Ambient Air Quality Standards (NAAQS). 

The inventories and supporting data prepared include the following: 

(1) Comprehensive, county-level, mass emissions and modeling inventories for point, 

area, and nonroad sources of 2002 emissions for the CAPs and NH3 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 prepared in the National Emissions Inventory (NEI) 

Input Format Version 3.0 (NIF 3.0). The modeling inventory files were prepared in the Sparse 

Matrix Operator Kernel Emissions/Inventory Data Analyzer (SMOKE/IDA) format. Ancillary 

files (holding spatial, temporal, and speciation profile data) were prepared in SMOKE/IDA 

compatible format. 

The inventories include annual emissions for sulfur dioxide (SO2), oxides of nitrogen (NOx), 

volatile organic compounds (VOC), carbon monoxide (CO), NH3, and particles with an 

aerodynamic diameter less than or equal to a nominal 10 and 2.5 micrometers (i.e., primary PM10

and PM2.5). 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 consistent 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 Protection 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 the University of North Carolina, Chapel Hill – 

Carolina Environmental Program (UNC-CEP) worked 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 ancillary files from December 2004 through February 

2005. The inventories and SMOKE input files were revised to incorporate the review comments. 

B. Summary of the 2002 Base Year Inventories 

This section of the report provides a brief summary of the consolidated 2002 base year 

inventories for the CENRAP region. Table 1 shows total annual emissions for CAPs and NH3

for point, area, nonroad, and onroad sources. The sector contributing the highest emissions 

varies by pollutant. Point sources account for the highest percentage of total NOx (36%) and SO2

(87%) emissions. Area sources account for the highest percentage of total VOC (50%), primary 

PM10 (PM10-PRI (93%)), primary PM2.5 (PM25-PRI (81%)), and NH3 (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 NOx emissions. 

Table 2a shows total annual emissions by state/tribe and pollutant for all four sectors combined. 

Tables 2b through 2e show total annual emissions by state/tribe and pollutant for area, point, 

nonroad, and onroad sources, respectively. Tables A-1 through A-6 in Appendix A provide 

summaries of annual emissions by source category and sector for VOC, NOx, CO, SO2, PM10-

PRI and PM25-PRI, and NH3, 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 emissions from all sectors, and the cumulative 

percentage contribution. Chapter III of this report identifies additional summaries of emissions, 

including county-level summaries that contain the data source codes that identify the origin and 

year of emissions data. 

In addition to the CAPs and NH3, emissions for carbon dioxide (CO2), methane (CH4), elemental 

carbon (EC), organic carbon (OC), total primary and filterable particulate matter (PM-PRI/-FIL), 

filterable PM-10 (PM10-FIL), and filterable PM2.5 (PM25-FIL) were carried in the mass 

emissions inventory files. However, these pollutants 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 fugitive dust emissions in its area source inventory, 

and some but not all S/L/T agencies included NH3 emissions associated with natural sources 

(e.g., domestic and wild animals) in their area source inventories. These emissions were kept in 

the area miscellaneous sources inventory, and are included in the sector-level summaries (as 

geogenic and natural/biogenic sources) described in Chapter III of this report. 

C. Organization of the Report 

In Chapter II of this report, section A provides an introduction to the chapter and sections B 

through D present the data sources and methods applied to prepare the mass emissions inventory 

and SMOKE input files for point, area, and nonroad sources within the CENRAP region. 
3 

Section E explains the data sources and methods 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 explains the data sources and methods for developing 

temporal, speciation, and spatial allocation profiles for the point, area, and nonroad source 

categories included in the CENRAP region inventories. Section 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. Chapter IV identifies the inventory 

and supporting data files compiled for areas outside of the CENRAP region, and Chapter V 

provides the references for this report. 
4 

Table 1. Summary of Annual Emissions for the CENRAP Region by Sector and Po

VOC NOx CO SO2 PM10-PRI PM25-PRI 

Sector Tons/Year 

Percent 

of Total Tons/Year 

Percent of 

Total Tons/Year 

Percent of 

Total Tons/Year

Percent 

of Total Tons/Year 

Percent of 

Total Tons/Year

Percent 

Total 

Point 618,130 14 1,835,970 36 1,891,315 8 2,198,712 87 396,154 5 248,416 

Area 2,167,263 50 850,491 16 3,778,511 17 218,259 9 6,923,304 93 1,486,600 

Nonroad 806,173 18 982,061 19 4,933,745 22 65,812 3 90,721 1 83,964 

Onroad 792,310 18 1,483,668 29 11,834,984 53 44,678 2 33,066 0 23,529 

Totals 4,383,876 100 5,152,190 100 22,438,555 100 2,527,461 100 7,443,244 100 1,842,509 100 

Dominant 

Sector1 Area Point Onroad Point Area Area 

1 Identifies the sector accounting for the majority of the emissions for each pollutant. 

Table 2a. Summary of All Sector Source Emissions by State and Pollutant 

VOC NOx CO SO2 PM10-PRI P

State FIPS/ 

Tribal Code State/Tribal Name 

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons

Yea

05 Arkansas 342,534 7.8 285,782 5.6 1,630,938 7.3 127,291 5.0 328,922 4.4 134,19 Iowa 283,064 6.5 325,187 6.3 1,579,578 7.0 166,914 6.6 517,816 7.0 122,20 Kansas 264,217 6.0 376,362 7.3 2,191,899 9.8 161,064 6.4 783,946 10.5 227,22 Louisiana 387,577 8.8 680,322 13.2 2,263,916 10.1 388,280 15.4 332,720 4.5 157,27 Minnesota 540,978 12.3 463,302 9.0 2,800,101 12.5 153,978 6.1 833,308 11.2 202,29 Missouri 381,944 8.7 476,260 9.2 2,614,860 11.7 419,985 16.6 1,000,506 13.4 207,31 Nebraska 145,701 3.3 250,823 4.9 905,317 4.0 90,954 3.6 469,741 6.3 96,40 Oklahoma 386,157 8.8 445,487 8.7 2,118,993 9.4 167,292 6.6 740,852 10.0 174,48 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,

405 Fond du Lac Tribe 3 0.0 501 0.0 700 0.0 0 0.0 12,254 0.2 1,

 Totals 4,383,876 100 5,152,190 100 22,438,555 100 2,527,461 100 7,443,244 100 1,842,
5 

Table 2b. Summary of Area Source Emissions by State and Pollutant 

VOC NOx CO SO2 PM10-PRI P

State FIPS/ 

Tribal Code State/Tribal Name 

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons

Yea

05 Arkansas 92,676 4.3 27,552 3.2 379,881 10.1 27,236 12.5 273,217 4.0 91,19 Iowa 111,851 5.2 6,920 0.8 102,183 2.7 3,290 1.5 477,093 6.9 97,20 Kansas 143,905 6.6 43,114 5.1 875,433 23.2 14,084 6.5 728,377 10.5 194,22 Louisiana 124,311 5.7 99,060 11.7 530,135 14.0 83,253 38.1 245,162 3.5 84,27 Minnesota 176,118 8.1 56,740 6.7 146,623 3.9 14,783 6.8 749,605 10.8 146,29 Missouri 133,818 6.2 34,749 4.1 269,007 7.1 48,317 22.1 962,807 13.9 182,31 Nebraska 69,986 3.2 15,023 1.8 81,169 2.2 7,748 3.6 447,703 6.5 83,40 Oklahoma 212,669 9.8 115,788 13.6 465,631 12.3 11,779 5.4 714,805 10.3 157,48 Texas 1,101,929 50.8 451,545 53.1 927,878 24.6 7,769 3.6 2,312,288 33.4 445,

405 Fond du Lac Tribe 0 0.0 0 0.0 571 0.02 0 0.0 12,246 0.18 1,

 Totals 2,167,263 100 850,491 100 3,778,511 100 218,259 100 6,923,304 100 1,486,

Table 2c. Summary of Point Source Emissions by State and Pollutant 

VOC NOx CO SO2 PM10-PRI P

State FIPS/ 

Tribal Code State/Tribal Name 

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons

Yea

05 Arkansas 158,982 25.7 75,925 4.1 360,537 19.1 93,210 4.2 46,882 11.8 35,19 Iowa 39,156 6.3 122,124 6.7 51,236 2.7 156,706 7.1 28,788 7.3 13,20 Kansas 27,458 4.4 165,284 9.0 83,307 4.4 140,371 6.4 47,081 11.9 25,22 Louisiana 89,025 14.4 312,634 17.0 285,395 15.1 286,050 13.0 73,333 18.5 60,27 Minnesota 70,415 11.4 159,324 8.7 361,952 19.1 132,773 6.0 64,645 16.3 38,29 Missouri 36,109 5.8 181,675 9.9 136,914 7.2 361,548 16.4 20,949 5.3 11,31 Nebraska 7,274 1.2 58,619 3.2 11,008 0.6 73,487 3.3 13,105 3.3 4,40 Oklahoma 36,987 6.0 158,972 8.7 78,430 4.2 148,852 6.8 18,009 4.6 9,48 Texas 152,720 24.7 600,912 32.7 522,407 27.6 805,714 36.6 83,354 21.0 48

405 Fond du Lac Tribe 3 0.00 501 0.03 129 0.01 0 0.00 8 0.00 

 Totals 618,130 100 1,835,970 100 1,891,315 100 2,198,712 100 396,154 100 248,
6 

Table 2d. Summary of Nonroad Source Emissions by State and Pollutant 

VOC NOx CO SO2 PM10-PRI P

State FIPS/ 

Tribal Code State/Tribal Name 

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons

Yea

05 Arkansas 51,339 6.4 64,336 6.6 285,282 5.8 3,299 5.0 5,850 6.5 5,19 Iowa 61,562 7.6 97,835 10.0 421,453 8.5 3,921 6.0 10,056 11.1 9,20 Kansas 28,009 3.5 85,234 8.7 273,433 5.5 3,913 6.0 6,770 7.5 6,22 Louisiana 109,598 13.6 117,250 11.9 549,031 11.1 14,324 21.8 10,663 11.8 9,27 Minnesota 213,527 26.5 108,293 11.0 963,290 19.5 3,834 5.8 15,946 17.6 14,29 Missouri 130,522 16.2 102,312 10.4 781,749 15.8 5,214 7.9 13,162 14.5 12,31 Nebraska 27,540 3.4 121,496 12.4 213,112 4.3 7,900 12.0 7,721 8.5 6,40 Oklahoma 49,763 6.2 51,410 5.2 331,901 6.7 2,407 3.7 5,405 6.0 4,48 Texas 134,314 16.7 233,896 23.8 1,114,495 22.6 20,999 31.9 15,149 16.7 14,

405 Fond du Lac Tribe 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 

 Totals 806,173 100 982,061 100 4,933,745 100 65,812 100 90,721 100 83,

Table 2e. Summary of Onroad Source Emissions by State and Pollutant 

VOC NOx CO SO2 PM10-PRI P

State FIPS/ 

Tribal Code State/Tribal Name 

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons/ 

Year 

Percent 

of Total

Tons

Yea

05 Arkansas 39,537 5.0 117,969 8.0 605,238 5.1 3,545 7.9 2,973 9.0 2,19 Iowa 70,494 8.9 98,308 6.6 1,004,707 8.5 2,997 6.7 1,879 5.7 1,20 Kansas 64,846 8.2 82,730 5.6 959,725 8.1 2,695 6.0 1,718 5.2 1,22 Louisiana 64,643 8.2 151,378 10.2 899,355 7.6 4,653 10.4 3,563 10.8 2,27 Minnesota 80,918 10.2 138,946 9.4 1,328,236 11.2 2,588 5.8 3,111 9.4 2,29 Missouri 81,495 10.3 157,523 10.6 1,427,190 12.1 4,907 11.0 3,589 10.9 2,31 Nebraska 40,902 5.2 55,685 3.8 600,028 5.1 1,818 4.1 1,212 3.7 40 Oklahoma 86,738 11.0 119,317 8.0 1,243,031 10.5 4,253 9.5 2,633 8.0 1,48 Texas 262,737 33.2 561,811 37.9 3,767,472 31.8 17,222 38.6 12,388 37.5 8,

405 Fond du Lac Tribe 0 0.00 0 0.00 0 0.00 0 0.00 0 0.00 

 Totals 792,310 100 1,483,668 100 11,834,984 100 44,678 100 33,066 100 23,
7 

II. CRITERIA AIR POLLUTANT AND NH3 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 submitted 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 integrity, and duplicate record issues. 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 resolved through consultation with the EI Workgroup, and (2) missing 

data that needed to be added 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 x3 

KS x2 x3 x3 

LA x x3 x3 

MN x2 x x x4

Fond du Lac Band of the 

Minnesota Chippewa Tribe x x 

MO x2 x3 x3 

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 NH3. 3

 State submitted only an NH3 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 updated to revise or add data 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 compared to the 2002 preliminary 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 directed by the EI Workgroup. 

The following sections B, C, and D provide the methods for preparing the consolidated 

emissions inventories for point, area, and nonroad sources, respectively. Each section discusses 

the QA review that was conducted on the S/L/T inventories to identify QA issues that were 

corrected to support air quality modeling. Then, each section discusses the augmentation 

procedures that were applied to fill in missing data. These procedures identify supplemental data 

that S/L/T agencies provided to add to or replace data in their inventories, the CENRAPsponsored inventories that were added to the inventories as approved by the S/L/T agencies, and 

the 2002 NEI categories that S/L/T agencies requested to be added to their inventories. The 

augmentation procedures also explain how missing PM emissions were estimated and added to 

the inventories after incorporating inventory data supplied by S/L/T agencies, the CENRAPsponsored inventory data, and data from the 2002 NEI. 

For point sources that are subject to CEM requirements, section E discusses the data sources and 

procedures for preparing the 2002 CEM data and 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 for 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 number 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: 
9 

Table 4. Summary of Pollutants, Number of Counties, and Number of Facilities in Point Sou

State/Local/ 

Tribal Agency CO NH3 NOx PM-PRI PM10-PRI PM25-PRI PM10-FIL PM25-FIL PM-CON SO2 VOC 

Number of 

Counties in 

2002 S/L/T 

Inventory 

Number of 

Counties in 

2002 

Preliminary 

NEI 

Numb

of 

Count

in Sta

AR x x x x x 57 60 75 

IA x x x x x x x x 74 26 99 

KS x x x x x x x x x 97 96 105 

1

 x 104 16 105 

LA x x x x x x x 59 60 64 

MN x x x x x x x x 87 82 87 

1

 x 77 13 87 

Fond du Lac 

Band of the 

Minnesota 

Chippewa Tribe 

x x x x x x NA2 NA NA 

MO x x x x x x 109 103 115 

1,3

 x 105 16 115 

NE-State x x x x x 27 72 93 

NE-Lincoln 

(Lancaster 

County) 

x x x x x 1 1 93 

NE-Omaha 

(Douglas 

County) 

x x x x x x x x 1 1 93 

OK x x x x x x x x 66 69 77 

TX x x x x x x 201 203 254 

1State submitted separate inventories for the criteria pollutants and NH3. The NH3 inventory was prepared under a CENRAP-sponsored project. The number of 

preliminary NEI are for facilities with annual NH3 emissions. Note that the number of counties and facilities with annual NH3 emissions in KS and MO in the 200

2 NA = Not Applicable. 3 The 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). Additionally, other codes were identified for 

remediation on a case-by-case basis. 

• Records with a submittal flag indicating deletions (submittal_flag = ‘D’ or ‘RD’) 

were removed from the inventory. 

• Null values in the tribal code field were updated 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 added 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 PMxx-FIL = PMxx-PRI where for SCCs 

starting with 10 (external fuel combustion) 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 available; 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 parent record was system generated. 

• Revision Date: This field indicates the month and year during which the last 

revision was made to a record. 

 

• State Federal Information Processing Standard (FIPS): This field indicates the 

state FIPS code of the submittal. 

• County FIPS: This field indicates the county FIPS code of the submittal. 
11 

• The following NIF plus fields were 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 indicates the period of the Emission Type – 

either ANNUAL or NONANNUAL. This 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 accordance with the QA procedures specified in 

the QAPP for this project (CENRAP, 2004b). The following discusses the QA diagnoses that 

were run on the consolidated point source inventory 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 the 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 inventories for AR, LA, NE, NE – 

Omaha, NE – Lincoln, OK, and TX is lower than the number of facilities included in the 2002 

preliminary NEI. An electronic match was conducted on the state and county FIPS and facility 

identification (ID) code between the two inventories to identify facilities 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 comparison 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, NOx, SO2, and VOC. 

The inventories for TX; NE state; Lancaster County, NE; and the Fond du Lac Band of the 

Minnesota Chippewa Tribe did not include NH3 emissions. KS, MN, and MO submitted NH3

inventories prepared under a CENRAP-sponsored project. These NH3 inventories were merged 

with the CAP inventories for these three states. Pechan worked with these three agencies to 

resolve facility matching and duplicate records that 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 included one or more forms of PM, PM10, and/or PM2.5 in 

their inventories. AR subsequently provided a new inventory that included PM10 and PM2.5

emissions data. The modeling inventory needs to include a complete set of PM10-PRI and 

PM25-PRI pollutants for all sources of PM10 and PM2.5. 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 discussed further in the following section, and the augmentation 

procedure is discussed in section II.B.4. 

c. Particulate Matter (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 a process was associated with a PM emission 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 diagnosed 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 evaluated using geographic information system 

(GIS) mapping to determine if the coordinates were within 0.5-kilometers 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 review by the agencies. Therefore, 

to assist S/L/T agencies in prioritizing their review 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 state 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 values 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 Fahrenheit). 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 null or uncontrolled code of 000 but with control 

efficiency data). 

QA review of control efficiency data involved diagnosis 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 efficiencies 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 records where 100% control was reported 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 control of emissions). Because many agencies 

did not populate the rule effectiveness field or a default value of zero was assigned, records with 

null or zero rule effectiveness values were included 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 the 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 identify potential errors associated with the 

incorrect reporting of daily and/or annual emissions: 

• Any “DAILY” type record that is greater than 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 determined 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 incorporate the corrections that the S/L/T agencies 

provided in response to the QA issues 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 filling and augmentation procedures. Additionally, 

included with this report is a set of S/L/T-specific files indicating responses to specific QA issues 

and defaults that were implemented with remaining QA issues. An example of a default 

implemented would be the correction of TONS to TON in a unit field. Each S/L/T set of files is 

accompanied by a Read_me.txt file that describes the files in further 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 state 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 from CENRAP sponsored source type oriented 

inventories. The following inventories (and the relevant S/L/T agencies) were included with the 

CENRAP inventory: 

• CENRAP NH3 Inventory (IA, KS, MO, MN, NE, OK) 

• MN Fires Inventory (MN) 

• CENRAP Prescribed Burning Inventory (all states) 

• CENRAP Concentrated Animal Feeding Operations (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 accompany this documentation. The first database is 

the Reference Tables for PM Augmentation. This database contains 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 provided upon request – it contains all possible 

combinations for SCC and Control Device types that 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 table (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 files that detailed potential inconsistencies and 

missing information in their PM pollutant inventory. Inconsistencies in PM pollutants include 

the following: 

• PM-PRI less than PM10-PRI, PM25-PRI, 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 other processes only PM10-FIL was provided. 

S/L/T agencies were asked to review this information and provide corrections where possible. In 

general, corrections (or general directions) were provided in the case of the potential 

inconsistency issues. An example of a general direction provided by a S/L/T agency was to 

remove PM25-FIL where greater than PM10-FIL because the PM10-FIL was (in their particular 

case) known to be more reliable. In other cases, the agency-provided specific process level 

pollutant corrections. In general, if specific direction was not provided by the agency, priority 

was given to the PM10 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 control device. This table is called the SCC Control 

Device Ratios table. The table structure 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 combustion) 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 the 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. Condensible ratios were added from the PM 

Calculator based on the uncontrolled SCC for these SCCs. In some cases, it was 

necessary to map the SCC and control devices to the PM calculator to find a match 
17 

for the noncondensible ratios. In some cases, it was necessary to map the SCC to 

FIRE to find a match for condensible ratios. 

Table 5. Description of the Field 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 some 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 closest available appropriate 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 closest 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 closest 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 calculated from emission factors found either in FIRE or the 

PM calculator. 

PM-FIL/PM25-FIL This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM-FIL/PM-PRI This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM-PRI/PM10-PRI This field and the following are ratios calculated from emission factors found either in FIRE or the 

PM calculator. 

PM-PRI/PM25-PRI This field and the following 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 calculated from emission factors found either in FIRE or the 

PM calculator. 

PM10-PRI/PM25-PRI This field and the following are ratios calculated 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 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-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 device combinations are in the RPO inventory. 

Additional Notes Any notes regarding assumptions about ratios. 
18 

• For natural gas, process gas and liquefied petroleum gas SCCs starting with 10* and 

20*, it was assumed (based on FIRE emission 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. Condensible 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 obtained from the PM Calculator. It was 

assumed that the condensible component was zero. 

Accompanying this document is a database containing 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 Factors table contains detailed information on the 

emission factors used to develop the ratios. 

Note: Ratios from the PM calculator were developed 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 pollutants 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 there 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), the control device type was selected based on the 

controlled pollutant. 

In addition to the fields listed above, the crosstab included the PM emission amounts for the 

particular process and a field that indicated whether those emissions existed 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_PRI, PM_FIL, PM10_PRI, PM10_FIL, PM25_PRI, 

PM25_FIL, PM_CON fields. The _EXISTS field indicates whether the pollutant was provided 

by the S/L/T agency. A zero indicates that the pollutant 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 agency provided emissions that were equal to zero 

for PMs for a particular process, it was assumed that 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 assumption, 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 augmentation. The SCC control device type ratio 

table described in step 2 was based on only those SCC and control device types that required 

augmentation. 

The next step was to fill in the missing information in this crosstab using the information found 

in the SCC Control Device Ratio table. 

In calculating PM complement pollutants, priority was given to calculating –PRI and –CON 

pollutants. FIL pollutants were only 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 PM10 where available, PM25 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 PM10 (FIL or PRI) where available, PM2.5 (FIL or PRI) where 

available, and then PM (FIL or PRI) if PM10 or PM2.5 variations were not available. Where both 

PM10 (FIL or PRI) and PM2.5 (FIL or PRI) variations were both available, the calculation for 
20 

PM-CON was generally driven from the PM10 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 resulted 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 that were calculated for some SCC device type 

combinations. In most cases these high condensible 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 provide coordinates for ERP records that did not 

have any coordinates in the S/L/T inventory, the following procedures were applied to replace 

the coordinates: 

• Coordinates for other ERPs at the same facility, 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 the agency if it is not valid; or 

• County centroid coordinates. 
21 

Table 6. Description of the Field Names 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 not provide, > 0 if S/L/T agency did provide 

PM25_FIL_EXISTS 0 if the S/L/T agency did not provide, > 0 if S/L/T agency did provide 

PM_CON_EXISTS 0 if the S/L/T agency did not 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 table. 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 correct even if the analysis indicated that the 

coordinates were outside of the county boundary (generally in the case of offshore facilities). 

These coordinates were not changed. Additionally, 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 source 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. For example, the procedures did not account for 

cases where an emission unit had two processes with one defined as a stack source and the other 

as a fugitive source. Therefore, the S/L/T-supplied 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 information 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 occasional 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 also implemented. Since, in many cases, null 

values were filled in with zeros by S/L/T agency 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 inappropriate replacement of 

stack parameter values. Additionally, stack parameter values were rounded to 1 decimal place 

when compared to range values (just for the purposes 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. Decimal control efficiencies were also diagnosed and 

sent to the S/L/T agencies. A decimal control efficiency value usually indicated that the control 

efficiency was not entered as a percentage value as is required by NIF 3.0. Where possible the 

data were updated with S/L/T corrections (See Section II.B.2 above). 

f. SCC Data 

S/L/T agencies were provided with lists of invalid 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 forthcoming until further into the processing than the 

initial QA stages. This occurred in cases of late data submissions, and the generation of parent 

EP records for EM records. In this case, SCCs 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 data – 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 based on the NAICS to SIC code crosswalk. 

5. Revisions to Address Comments 

The following items were revised per state instruction 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 

NH3 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 facility, 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 majority of cases this situation occurred when the 

daily emission value was very small and recorded in pounds and the annual value was zero and 

recorded in tons. In many cases, in the originating emission inventory application, emission 

values are rounded. Therefore, the annual ton value was rounded to zero. 

6. QA Review of Final Inventory 

Final QA checks were run on the revised point source inventory 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 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 determined if there is an appropriate generic 

primary device type to be used or whether 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 emissions 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. 

CH4, EC, and OC were flagged as errors since these values are not in the EPA pollutant code 

table. 

PE

There are a few records with the units M2 and MASS that were not in the EPA QA checker 

table. It could be determined if these values should be added, or whether there are appropriate 

substitutes. 
25 

There are a few remaining records with operating times outside the EPA QA Checker ranges. 

EP

There are a few remaining records with operating 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 are missing the supplementary coordinate reference information 

(Horizontal data measure, horizontal data accuracy, horizontal collection method code). 

A number of records indicate coordinates outside of county boundaries – the reasons why this 

may occur were explained in the coordinate augmentation section earlier in this document. 

A number of records also indicate stack parameters outside of ranges expected by the EPA QA 

checker. This is due either to the S/L/T agency specifically requesting not to change the values 

or to default values in the EPA table which 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 NH3 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. There 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 source 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 source inventory. IA, LA, NE, and OK requested 

that the 2002 preliminary NEI be used for their 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 inventory be used instead of the NEI. The NH3

inventories that IA and LA submitted to EPA were maintained in the CENRAP inventory. In 

addition, Omaha did not submit an area source inventory; therefore, the 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 preliminary NEI, but the emission values were rounded 

to two decimal places. OK’s inventory was updated 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 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). Additionally, other codes were identified for 

remediation on a case-by-case basis. 

• Records with a submittal flag indicating deletions (submittal_flag = ‘D’ or ‘RD’) 

were removed from the inventories. 

• Null values in the tribal code field were updated to ‘000’ since this field is a part of 

the data key that defines records as unique in all five NIF tables. 
27 

Table 7. Summary of Pollutants and Number of Counties Included in Area Source Inv

State/Local/Tribal 

Agency CO NH3 NOx PM-PRI PM10-PRI PM25-PRI PM10-FIL PM25-FIL PM-CON SO2 VOC 

Number of 

Counties in 

2002 S/L/T 

Inventory 

N

CP

AR x x x x x x x 75 

IA x 99 

KS x x x x x x x 105 

LA x 64 

MN x x x x x x 87 

Fond du Lac Band of 

the Minnesota 

Chippewa Tribe 

x x x x x x NA1 

MO x x x x x x x 115 

NE-State x x x x x x x 79 

NE-Lincoln 

(Lancaster County) x x x x x x x 1 

NE-Omaha 

(Douglas County)2 1 

OK x x x x x x x x x x 77 

TX x x x x x x x x x x 254 

 1 NA = Not Applicable.

 2 Omaha’s area source inventory is included in the state of NE’s inventory submittal. Omaha did not submit its own area source inventory to EPA.
28 

The following NIF plus fields were added to the EP, PE, EM, and CE tables: 

• Data Source Codes: 

For the area and nonroad inventory data, the data source codes were based on the following 9-

character format: 

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

Code Field Length

Data Origin 1 

Year 3 (including leading hyphen) 

Grown/Not Grown/Carried Forward 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 Inventory 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 inventory 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 PM10/PM2.5 emissions that were 

updated or added using ad-hoc updates. 
29 

-PC PM Augmented Emissions: Record added for PM10/PM2.5 emissions estimated 

using the PM Calculator. 

-PR PM Augmented Emissions: Record added for PM10/PM2.5 emissions estimated 

using ratios of PM10-to-PM or PM2.5-to-PM10. If PM10 and PM2.5 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 source inventories in accordance with the QA 

procedures specified in the QAPP for this project (CENRAP, 2004b). The following discusses 

the QA checks that were completed during preparation of the consolidated data set. 

a. County and SCC Coverage 

The county coverage in the state inventories appeared to be reasonable for all states. The SCC 

coverage was difficult to evaluate simply by showing a count of the number of SCCs by state. 

Each S/L/T inventory was compared to the preliminary 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 PM10

and PM2.5. Diagnosis and resolution of PM10 and PM2.5 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 this 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 Inventories Submitted to EPA: 

The first summary was an Excel workbook file with four spreadsheets that provided the 

following information: 

• 2002 Nonpoint File Names: This spreadsheet documented names and formats of the 

files that EPA received from the S/L/T agencies 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 inventory 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 total 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 assigned 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 identified 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 errors, 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 following errors and corrections by state: invalid 

pollutants codes; invalid units; invalid maximum 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 were 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 Workbook 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 compare annual emission values, numeric fields 

in the PE and EP tables, and other temporal numeric fields against a range of values. The QA 

program flags records that are less than or greater than the range of values for review. Pechan 

summarized the range errors for the S/L/T agencies 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 previous inventories. The range values are 

conservative in that EPA wants to identify suspicious 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 emission 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 diagnosed as an error. If a S/L/T agency did not 

provide corrections to these errors, the errors 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 PM10, PM2.5, 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 codes (i.e., codes that did not exist in the NIF 3.0 

reference table) and missing codes (e.g., records with a null or uncontrolled code of 000 but with 

control efficiency data). 

QA review of control efficiency data involved diagnosis 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 efficiencies 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 efficiency 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 records where 100% control was reported 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 control of emissions). Because many agencies 

did not populate the rule effectiveness field or a default value of zero was assigned, records with 

null or zero rule effectiveness values were included where the CE was 100% and emissions were 

greater than zero. For records that met these criteria, 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 the 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 determine 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 true 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 additional 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 agencies to review the QA issues identified. The 

S/L/T agencies were asked to return these reports to CENRAP with their 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 NEI. OK provided an inventory for SCC 2310000000 

(Industrial Processes / Oil and Gas Production: SIC 13 / All Processes / Total: All Processes) for 

VOC, NOx, 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_Lancaster_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 for communicating revisions. Table 9 provides a 

list of the QA summaries (note that a spreadsheet was 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 results 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 NIF 3.0 reference table “Lookup 

Errors” identified by the 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 spreadsheet details the range errors identified by the EPA’s QA 

program. 

Emission Type Period This spreadsheet identifies EM table records as containing annual, seasonal, 

or daily emissions in the NIF plus field named “Emission Type Period.” This 

NIF plus field, once populated, will be used to prepare emissions summaries 

on a consistent temporal basis. 

PMx Issues1 This spreadsheet documents the results of QA review conducted on PM10 

and PM2.5 emissions as required by the Quality Assurance Project Plan 

(QAPP) and Draft Methods Document for this project. 

PMx Issues2 This spreadsheet provides additional 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 counties 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 exclude from your inventory in this “NEI 

Categories not in State EI” spreadsheet. 

This spreadsheet does not include: 

1. SCCs in the NEI that electronically match on the state and county FIPS 

and SCC in the agency’s inventory; and 

2. SCCs in the NEI that are different 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 provide 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-level. 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 missing data not supplied by the S/L/T agencies. 

a. CENRAP-Sponsored Inventories 

CENRAP sponsored inventory development for source categories of NH3 and planned burning 

(i.e., prescribed burning, rangeland burning, and agricultural field burning) and agricultural dust 

area source categories. For each of these categories, each S/L/T agency was requested to 

complete a table to indicate if it (1) included the CENRAP-sponsored inventory 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 CENRAP-sponsored inventory 

or the 2002 preliminary NEI should be used as the source of data for the category. The results of 

this request are summarized in Table 10. 

Table 10. Summary of CENRAP-Sponsored 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 

NH3 Inventories2

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 28070xxxxx 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, NOx, 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, NOx, NH3, SO2, VOC, PM10-PRI, PM25-PRI 

TX: CO, NOx, NH3, SO2, VOC, PM10-PRI, PM10-FIL, PM25-PRI, PM25-FIL 

Prescribed Burning of Rangeland 

IA: CO, NOx, SO2, VOC, PM10-PRI, PM25-PRI 

KS; LA; MN; MO; OK; NE (state); Lancaster County, NE: CO, NOx, NH3, SO2, VOC, PM10-PRI, PM25-PRI 

Lancaster County, NE: CO, NOx, PM10-PRI, PM25-PRI 

TX: CO, NOx, NH3, 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, NOx, NH3, SO2, VOC, PM10-PRI, PM25-PRI 

TX: CO, NOx, NH3, VOC, PM10-PRI, PM10-FIL, PM25-PRI, PM25-FIL 

2

 The CENRAP-sponsored NH3 inventories were prepared for monthly emissions. The monthly emissions were 

summed to calculate annual emissions. The annual emission records were added to the area source inventory to 

support preparation of emission summaries. 
37 

b. PM Augmentation 

Procedures were developed to estimate missing pollutant data from 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 sources first followed by the procedures for all other area sources 

of PM emissions. 

Fossil Fuel Combustion Sources

Fossil fuel combustion sources include industrial, commercial/institutional, and residential 

anthracite coal, bituminous/subbituminous coal, distillate 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 pollutants can be reported individually (i.e., as 

filterable and condensible separately) or as primary emissions (i.e., the sum of the filterable and 

condensible emissions). The QA review also focused 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 reported in the S/L/T inventories were compared to 

the emission factors in this table. Emission factors that appeared too high or too low were 

flagged for review by the S/L/T agency. In addition, 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 factors for filterable PM in Table 11. Finally, if 

emission factors were not reported in the S/L/T agency inventory, 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 difference 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 factors in this table should not be construed 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 combustion inventory in the 

preliminary 2002 NEI for the CENRAP inventory. Revisions to the NEI for residential LPG and 

kerosene were completed after the preliminary 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. 
38 

Table 11. Area Source Industrial, Commercial/Institutional, and Residential Fossil Fuel Combu

Emission Factors for PM10-PRI/FIL, PM25-PRI/FIL, and PM-CON 

Pollutant1

Uncontrolled Emission Factor (EF) EF Numerator EF Denominator 

Calculated Uncontrolled EF Reference 

Industrial Boilers: Anthracite Coal (SCC 2102001000) PM10-FIL 2.3 LB TON 30.77 AP-42 Table 1.2-4 EF calculated from formula o

(13.38%). Reference for ash content is EPA, 20

PM25-FIL 0.6 LB TON 8.03 AP-42 Table 1.2-4 EF calculated from formula o

(13.38%) (used Commercial/Institutional emissiocontent is EPA, 2002. 

PM-CON 0.08 LB TON 1.07 AP-42 Table 1.2-3 Used formula for SCC 10300

formula of .08 * % Ash Content (13.38%). Refer2002. 

PM10-PRI LB TON 31.84 PM25-PRI LB TON 9.10 Industrial Boilers: Bituminous/Subbituminous Coal (SCC 2102002000) PM10-FIL 13.2 LB TON 13.2 AP-42 Table 1.1-9 EF (used Commercial/InstitutPM25-FIL 4.6 LB TON 4.6 AP-42 Table 1.1-9 EF (used Commercial/InstitutPM-CON 1.04 LB TON 1.04 AP-42 Table 1.1-5 (used Commercial/InstitutionaPM10-PRI LB TON 14.24 PM25-PRI LB TON 5.64 Industrial Boilers and IC Engines: Distillate Oil (SCC 2102004000) PM10-FIL 1 LB E3GAL 1 AP-42 Table 1.3-6 PM25-FIL 0.25 LB E3GAL 0.25 AP-42 Table 1.3-6 PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 PM10-PRI LB E3GAL 2.30 PM25-PRI LB E3GAL 1.55 Industrial Boilers: Residual Oil (SCC 2102005000) PM10-FIL 7.17 LB E3GAL 10.683 AP-42 Table 1.3-5. EF calculated from formula 

A=1.12(S)+0.37; Assumed S=1% for purpose of 

PM25-FIL 4.67 LB E3GAL 6.958 AP-42 Table 1.3-5. EF calculated from formula 

A=1.12(S)+0.37; Assumed S=1% for purpose of 

PM-CON 1.5 LB E3GAL 1.5 AP-42 Table 1.3-2 PM10-PRI LB E3GAL 12.18 PM25-PRI LB E3GAL 8.46 Industrial Boilers and IC Engines: Natural Gas (SCC 2102006000) PM10-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2 PM25-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2 PM-CON 5.7 LB E6FT3 5.7 AP-42 Table 1.4-2 PM10-PRI 7.6 LB E6FT3 7.60 PM25-PRI 7.6 LB E6FT3 7.60 
Table 11 (continued) 

39 

Pollutant1

Uncontrolled Emission Factor (EF) EF Numerator EF Denominator 

Calculated Uncontrolled EF Reference 

Industrial Boilers - Liquified Petroleum Gas (SCC 2102007000) PM10-FIL 0.6 LB E3GAL 0.6 AP-42 Table 1.5-1 PM25-FIL 0.6 LB E3GAL 0.6 AP-42 Table 1.5-1 PM-CON 0.506 LB E3GAL 0.506 Used natural gas PM-CON emission factor of 5.

PM controls and uncontrolled). Used factor of 0

factor from lb/Million Cubic Feet of natural gas to Reference: AP-42, Table 1.4-2. Conversion facnatural gas (AP-42, Table 1.4-2) and 90,500 BtuAppendix A, page A-5). 

PM10-PRI LB E3GAL 1.11 PM25-PRI LB E3GAL 1.11 Industrial Boilers: Kerosene (SCC 2102011000) PM10-FIL 1 LB E3GAL 1 AP-42 Table 1.3-6 PM25-FIL 0.25 LB E3GAL 0.25 AP-42 Table 1.3-6 PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-6 PM10-PRI LB E3GAL 2.30 PM25-PRI LB E3GAL 1.55 Commercial/Institutional Heating: Anthracite Coal (SCC 2103001000) PM10-FIL 2.3 LB TON 30.77 AP-42 Table 1.2-4 EF calculated from formula o

(13.38%). Reference for ash content is EPA, 20

PM25-FIL 0.6 LB TON 8.03 AP-42 Table 1.2-4 EF calculated from formula o

(13.38%). Reference for ash content is EPA, 20

PM-CON 0.08 LB TON 1.07 AP-42 Table 1.2-3 Used formula for SCC 10300

formula of 0.08 * % Ash Content (13.38%). Refe2002. 

PM10-PRI LB TON 31.84 PM25-PRI LB TON 9.10 Commercial/Institutional Heating: Bituminous and Lignite (SCC 2103002000) PM10-FIL 13.2 LB TON 13.2 AP-42 Table 1.1-9 EF PM25-FIL 4.6 LB TON 4.6 AP-42 Table 1.1-9 EF PM-CON 1.04 LB TON 1.04 AP-42 Table 1.1-5 (0.04 lb/MMBtu * 26MMBtu/toPM10-PRI LB TON 14.24 PM25-PRI LB TON 5.64 Commercial/Institutional Heating: Distillate Oil (SCC 2103004000) PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7 PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 PM10-PRI LB E3GAL 2.38 PM25-PRI LB E3GAL 2.13 
Table 11 (continued) 

40 

Pollutant1

Uncontrolled Emission Factor (EF) EF Numerator EF Denominator 

Calculated Uncontrolled EF Reference 

Commercial/Institutional Heating: Residual Oil (SCC 2103005000) PM10-FIL 5.17 LB E3GAL 7.703 AP-42 Table 1.3-7. EF calculated from formula 

A=1.12(S)+0.37; Assumed S=1% for purpose of 

PM25-FIL 1.92 LB E3GAL 2.861 AP-42 Table 1.3-7. EF calculated from formula 

A=1.12(S)+0.37; Assumed S=1% for purpose of 

PM-CON 1.5 LB E3GAL 1.5 AP-42, Table 1.3-2 PM10-PRI LB E3GAL 9.20 PM25-PRI LB E3GAL 4.36 Commercial/Institutional Heating: Natural Gas (SCC 2103006000) PM10-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2 PM25-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4-2 PM-CON 5.7 LB E6FT3 5.7 AP-42 Table 1.4-2 PM10-PRI LB E6FT3 7.60 PM25-PRI LB E6FT3 7.60 Commercial/Institutional Heating: Liquified Petroleum Gas (SCC 2103007000) PM10-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Propane for Commercial BoiPM25-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Propane for Commercial BoiPM-CON 0.506 LB E3GAL 0.506 Used natural gas PM-CON emission factor of 5.

PM controls and uncontrolled). Used factor of 0

factor from lb/Million Cubic Feet of natural gas to Reference: AP-42, Table 1.4-2. Conversion facnatural gas (AP-42, Table 1.4-2) and 90,500 BtuAppendix A, page A-5). 

PM10-PRI LB E3GAL 0.91 PM25-PRI LB E3GAL 0.91 Commercial/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 PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 Used EF for Distillate Oil (per PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 Used EF for Distillate Oil (per PM10-PRI LB E3GAL 2.38 PM25-PRI LB E3GAL 2.13 Residential Heating: Anthracite Coal (SCC 2104001000) PM10-FIL 10 LB TON 10 EPA, 2002. PM25-FIL 0.6 LB TON 8.03 EF calculated from formula of 0.6 * % Ash Conte

EF and ash content is EPA, 2002. 

PM-CON 0.08 LB TON 1.07 EF calculated from formula of 0.08 * % Ash Con

EF and ash content is EPA, 2002. 

PM10-PRI LB TON 11.07 PM25-PRI LB TON 9.10 
Table 11 (continued) 

41 

Pollutant1

Uncontrolled Emission Factor (EF) EF Numerator EF Denominator 

Calculated Uncontrolled EF Reference 

Residential Heating: Bituminous and Lignite Coal (SCC 2104002000) PM10-FIL 6.2 LB TON 6.2 AP-42 Table 1.1-11 PM25-FIL 3.8 LB TON 3.8 AP-42 Table 1.1-11 PM-CON 1.04 LB TON 1.04 AP-42 Table 1.1-5 (0.04 lb/MMBtu * 26 MMBtu/tPM10-PRI LB TON 7.24 PM25-PRI LB TON 4.84 Residential Heating: Distillate Oil (SCC 2104004000) PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7 (Commercial/Institutional EF) PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 (Commercial/Institutional EF) PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 PM10-PRI LB E3GAL 2.38 PM25-PRI LB E3GAL 2.13 Residential Heating: Natural Gas - All types (SCC 2104006000) PM10-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4.2 PM25-FIL 1.9 LB E6FT3 1.9 AP-42 Table 1.4.2 PM-CON 5.7 LB E6FT3 5.7 AP-42 Table 1.4.2 PM10-PRI LB E6FT3 7.60 PM25-PRI LB E6FT3 7.60 Residential Heating: Liquefied Petroleum Gas (SCC 2104007000) PM10-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Same factor used for Propan

based on EIIP) 

PM25-FIL 0.4 LB E3GAL 0.4 AP-42 Table 1.5-1 (Same factor used for Propan

based on EIIP) 

PM-CON 0.506 LB E3GAL 0.506 Used natural gas PM-CON emission factor of 5.

PM controls and uncontrolled). Used factor of 0

factor from lb/Million Cubic Feet of natural gas to Reference: AP-42, Table 1.4-2. Conversion facnatural gas (AP-42, Table 1.4-2) and 90,500 BtuAppendix A, page A-5). 

PM10-PRI LB E3GAL 0.91 PM25-PRI LB E3GAL 0.91 Residential Heating: Kerosene (SCC 2104011000) PM10-FIL 1.08 LB E3GAL 1.08 AP-42 Table 1.3-7 Used EF for Distillate Oil (per PM25-FIL 0.83 LB E3GAL 0.83 AP-42 Table 1.3-7 Used EF for Distillate Oil (per PM-CON 1.3 LB E3GAL 1.3 AP-42 Table 1.3-2 Used EF for Distillate Oil (per PM10-PRI LB E3GAL 2.38 PM25-PRI LB E3GAL 2.13 1 PM10-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, commercial/institutional residual 

oil combustion, and residential anthracite 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 inventory. MO did not provide any PM10 or PM2.5 emissions 

data for forest wildfires (SCC 2810001000). 

MN provided corrections to PM QA issues that were 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/institutional, or residential fossil fuel combustion 

categories in the NEI be added to its inventory. The tribal inventory did not contain any fossil 

fuel combustion inventory data. 

TX’s inventory was revised to address the PMx QA issues listed in the QA Summary Report 

(TX_NP_QA_Report_090904_v3.xls). Most of the 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 replacing 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 daily 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 for the CENRAP inventory. Revisions to the 

NEI for residential wood combustion were completed after the preliminary 2002 NEI was 

released in February 2004; the revised inventories 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 prepared their own residential wood combustion 

inventories. KS and MO provided replacement inventories that disaggregated the emissions in 

more detail (i.e., by separate SCCs for fireplaces and woodstoves) than provided 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-PRI and PM25-PRI that originate from the NEI 

method for this category to address a unit conversion 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 emissions were set equal to PM25-FIL emissions. 

The PM10-PRI and PM25-PRI emissions that were added 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 this case, the ratio of primary to filterable 

emissions is “1”). 
43 

PM25-PRI emissions missing from S/L/T inventories were estimated by applying a ratio of 

PM25-PRI to PM10-PRI emissions to the PM10-PRI 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 Emissions 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 included in the 2002 NEI but not in a 

S/L inventory involved a two-step process. First, Pechan identified the categories in the NEI that 

did not have an electronic match on the data key 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 inventory 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 residential wood combustion, open burning of land clearing 

debris, solvent utilization, and petroleum marketing 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-sponsored categories were removed from the list 

of NEI categories considered for incorporation into a S/L inventory. 

Note that the preliminary 2002 NEI did not contain any data for the Fond du Lac Band of the 

Minnesota Chippewa Tribe. Therefore, a comparison 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 NEI 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): 2002 emissions data replaced data in 

preliminary 2002 NEI that were carried forward from 1999 NEI. 

3. Open Burning of Land Clearing Debris (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. For 2002, emissions were set to zero for 

counties with a population that was 80% urban 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 activity to take place. Note that 2002 

emissions data were already included in the preliminary 2002 NEI for the open 

burning of residential municipal solid waste, 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 Combustion (SCC 2104011000): 2000 emissions data 

replaced data in the preliminary 2002 NEI that were carried forward from 1999 NEI. 

6. Residential Wood Combustion (SCCs 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 PM25-PRI emission factors for fireplaces 

without inserts (this change 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 instruction 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 double-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 incorporating 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 annual emissions were greater than zero, 

the daily emissions were removed from the CENRAP inventory. 

b. Minnesota 

Minnesota provided a new inventory of annual VOC emissions for asphalt paving (SCC 

2461021000) that was added to the final inventory. Minnesota provided revisions to annual CO, 

NH3, NOX, PM10-PRI, PM25-PRI, SO2, and VOC for the following commercial/institutional 

fossil fuel and wood combustion categories: 

SCC SCC Description

2103002000 Stationary Source Fuel Combustion : Commercial/Institutional : 

Bituminous/Subbituminous Coal : Total: All Boiler Types 

2103004000 Stationary Source Fuel Combustion : Commercial/Institutional : Distillate Oil : 

Total: Boilers and IC Engines 

2103005000 Stationary Source Fuel Combustion : Commercial/Institutional : Residual Oil : 

Total: All Boiler Types 

2103006000 Stationary Source Fuel Combustion : Commercial/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 exploration were removed. Oklahoma's area source 

inventory was taken from the preliminary 2002 NEI except that Oklahoma provided an inventory 

of annual VOC, NOX, and CO emissions for natural gas exploration that replaced the annual 

emissions from the preliminary NEI (that originated 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 annual emissions supplied by Oklahoma, the daily 

emissions were removed from the CENRAP inventory. 
47 

d. Texas 

Replaced emissions with more recent emissions 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; EPA 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 / Petroleum and Petroleum Product Storage 

2501000000 All Storage Types: Breathing 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 / Agriculture 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 : Agriculture 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 were 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 categories 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 uncontrolled 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 NH3 emissions in the 

onroad inventory. The area miscellaneous source inventory for Iowa, Kansas, and Louisiana 

include NH3 emissions for the following two SCCs that originate from the CENRAP-sponsored 

NH3 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 NH3 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 states and the two SCCs combined, the NH3 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 NH3 emissions in the area and area miscellaneous inventories combined. 

At the CENRAP-region level, the percentages are less than 1 percent of total NH3 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 miscellaneous inventory in NIF 3.0. The following lists 

the remaining QA issues that were not addressed during the duration 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 table, 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 the 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 reference 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 planning. However, during the project TX updated 

its inventory for the NONROAD Model categories and requested that this inventory be used 

instead of the CENRAP-sponsored inventory for the NONROAD Model categories. Since 

Pechan obtained the CENRAP-sponsored inventory for the NONROAD Model categories to 

support the preparation of emissions summaries, 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 explains the data sources used to compile the 

inventories for these non-NONRAOD Model categories. QA review of the NONROAD Model 

inventory was completed under a separate 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 for 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 three of the non-NONROAD Model categories. For 

the railroad locomotive category, KS, LA, MN, and MO included NH3 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 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). Additionally, other codes were identified for 

remediation on a case-by-case basis. 

• Records with a submittal flag indicating deletions (submittal_flag = ‘D’ or ‘RD’) 

were removed from the inventory. 

• Null values in the tribal code field were updated 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 listed in the previous discussion for the area 

source inventory. 

• The CENRAP-sponsored inventory did not contain S/L agency contact information 

in the TR table. In addition, the TR table for the data taken from the preliminary 

2002 NEI contained the contact information for EPA. Therefore, the TR table was 

updated to include the contact information that S/L agencies provided in their area 

source inventories. 
51 

Table 13. Summary of Pollutants and Number of Counties Included in Nonroad Source 

State/Local/Tribal 

Agency Sector CO NH3 NOx PM10-PRI PM25-PRI PM10-FIL PM25-FIL PM-CON SO2 VOC 

Number of 

Counties in 

2002 S/L/T 

Inventory 

P

Commercial Marine Vessels (CMV) 

x x x x x x x 27 

Railroad Locomotives 

x x x x x x x 75 

AR 

Aircraft x x x x x x x 68 

KS Railroad 

Locomotives 

 x 2 

LA Railroad 

Locomotives 

 x 3 

MN Railroad 

Locomotives 

x x x x x x 81 

MO Railroad 

Locomotives 

 x 2 

CMV x x x x x x x x 19 Railroad Locomotives 

x x x x x x x 254 

TX 

Aircraft x x x x x x x 167 
52 

2. QA Review 

QA review was conducted on the inventories in accordance with the QA procedures specified in 

the QAPP for this project (CENRAP, 2004b). The following discusses the QA checks that were 

completed during preparation of the 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 NH3 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 NH3 emissions were due to differences in the methods used to prepare the 

state NH3 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 NH3 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 NH3 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 marine vessels, and railroad locomotives. 

3. Responses from S/L/T Agencies 

The nonroad source inventories were revised to incorporate updates from MN and to incorporate 

TX’s NONROAD Model inventory. No other QA issues 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 data used to prepare the consolidated inventory 

for aircraft, commercial marine vessels, and railroad locomotives. For commercial marine 

vessels and railroad locomotives, the CENRAP-sponsored inventory was used for all states 

except for AR, MN, and TX who provided their own inventories. Note that the CMU Model 

NH3 emissions that KS, LA, and MO included in their inventory submittals to EPA for railroads 

were replaced with NH3 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 point source inventory that were included in the 

point source inventory for CENRAP. KS’ inventory 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 that 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 Vehicle 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 contained 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 

SO2 0.04 27053 

PM10-PRI 0.07 27053 

PM25-PRI 0.06 27053 

NH3 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 provided in an Access 2000 database 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 CO2 emissions that caused 

this error. CO2 is not included in the reference table for valid NIF 3.0 pollutant codes. At 

the request of CENRAP, CO2 emissions were kept in the inventory. 
55 

E. 2002 CEM Data Methods and Results 

1. Introduction 

The 2002 CEM data for the entire CENRAP modeling domain were collected and converted to 

SMOKE and the RPO data exchange protocol formats. 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 three (3) sets of temporal 

profiles. The sets of profiles generated include 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 years 2000 through 2003 is the EPA’s website, 

specifically the following websites were used for 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.cfm?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 together with Pechan and the CENRAP states by 

soliciting feedback on the CEM units 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 state and county FIPS, Plant, Stack, and Segment 

identifier. The data were formatted into hour-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 obtained from RPOs and EPA 

when the data were available. CEM data for the Visibility Improvement State and Tribal 

Association of the Southeast (VISTAS) 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, Western 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 their updated year 2002 point source 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 the crosswalks become available for the other 

RPOs regions, CENRAP can then use these crosswalk data along with the raw data for the 

United States to implement hour-specific CEM data 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 source inventory along with the raw CEM databases 

to determine which units/sources were not being used due to the lack of crosswalk data and/or 
57 

bad or no CEM data. There were data for a total of 775 CEM units in the CENRAP states. We 

informed CENRAP of all CEM units where we lacked sufficient crosswalk data that emitted over 

40 tons per year of NOx or SO2. It was also recommended to CENRAP 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 NOx in year 2002. A total of 

570 units emitted less than 40 tons of SO2 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 the 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.cfm?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 these 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 other 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 temporal profile analysis task 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 process 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 information 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 ancillary 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 available on the EPA website. It was determined that 

the CEM data did not need any changes/augmentations in order to perform the temporal profile 

analysis. 
58 

5. QA Review of Final Data Set 

CEP analyzed the CEM crosswalk generated after 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 NOx or SO2 that 

could not be identified in the 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 SO2 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 SO2 and 0.90 million tons of NOx were emitted by the CEM 

units in the CENRAP states. In summary, CEP 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 SO2

emissions (or 99.3% of the total SO2 emissions) and 0.89 million tons of NOx emissions (or 

98.9% of the total NOx emissions). However, it should be noted that the initial mapping was 

carried out using the draft point source inventory. During December 2004, the SMOKE IDA 

inventory files became available to CENRAP. The CENRAP Emissions Modeling contractors 

began using the SMOKE IDA point source inventory with the SMOKE-formatted hour-specific 

data created at UNC-CEP. A few CEM (hour-specific) 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 files to CENRAP on January 27, 2005. 
59 

We also carried out spot-checks of the CEM data in the raw datasets and the hourly-emissions 

files generated (SMOKE hour-specific and RPO formatted files) versus the reports available at 

(http://cfpub.epa.gov/gdm/index.cfm?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 formatted 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.cfm?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, daily profiles by season, and hourly 

profiles by season. This analysis was performed for units in the CENRAP 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 prepared 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 years 2000, 2001 and 2002. We also included year 

2003 CEM data to add more relevant and recent data to the analysis. The emission profiles were 

all based on the NOx emissions only. There was little difference between the NOx and SO2

profiles, with the exception that a good percentage of number of the units had zero SO2

emissions. We also targeted the analysis on the major-emitting units which was defined as units 

emitting at least 1 ton of NOx 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 generate 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 NOx emissions were totaled by unit and month. The NOx

emissions from each unit for a given month were then divided by the total of the year 2000-2003 

NOx emissions from that unit. For the day of week profiles, the Gregorian date for each hourly 

CEM data record was converted to the corresponding Julian date. Then, I/OAPI libraries were 

used to assign day of the week (Monday, Tuesday, etc.) based on the Julian date. Next, NOx 

emissions were totaled by day of the week for each unit. The NOx 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 

NOx emission total for that unit. Similarly, NOx 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 standard 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 strived to generate a small set of 

temporal profiles to use for all units over a certain geographical area. While this is possible for 

this task, we recommend the profiles for the individual units be used. Each unit has many factors 

that effect temporal allocation of emissions including geographical region, seasonal demands and 

controls, population and technology changes, costs, and variations in weather from year to year. 

Emissions preprocessors can handle thousands of different profiles, therefore we recommend that 

these various factors be captured using the profiles for the individual units. 

Figures 1 and 2 give examples of the monthly 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 data 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 the 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. Hourly stack flow is not a required 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 the desired years and region of interest. 

F. Temporal, Speciation, and Spatial Allocation Profiles 

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

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

CEP obtained the best available temporal profile 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 data). A similar review of temporal profiles 

for the MANE-VU RPO and the EPA yielded the temporal 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 dataset acquired from EPA on 

the MANE-VU inventory. Additional profiles were added during this review to support MANEVU state- or county-specific point sources. We began the CENRAP 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 emitting unit (see also section E of this report). 

The CEM data were acquired from the following EPA website: 

http://cfpub.epa.gov/gdm/index.cfm?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 monthly profiles based on year 2000-2003 

data. 

0

0.05

0.1

0.15

0.2

0.25

0.3

0.35

0.4

0.45

JAN

FEB

MAR

APRMAY

JUN

JUL

AUG

SEPOCT

NOV

DEC

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 monthly profiles based on year 2000-2003 

data. 

0

0.02

0.04

0.06

0.08

0.1

0.12

0.14

JAN

MAR

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 City1
63 

Figure 3. Arkansas weekly profiles for (a) winter, (b) spring, (c) summer and (d) autumn using t

(a) (b) 

0

0.05

0.1

0.15

0.2

0.25

MONTUEWEDTHUFRISATSUN

Lake Catherine4Robert E Ritchie1Robert E Ritchie2Carl Bailey1McClellan1White Bluff1White Bluff2Flint Creek Power1Independence1Independence2Pine Bluff EnergyCT-1

0

0.05

0.1

0.15

0.2

0.25

0.3

MONTUEWEDTHUFRISATSUN

CecLake RobRobMcCWhiWhiFlint IndeIndePine 

(c) (d) 

0

0.05

0.1

0.15

0.2

0.25

MONTUEWEDTHU FRISATSUN

Lake Catherine4Robert E Ritchie1Robert E Ritchie2Thomas Fitzhugh1Carl Bailey1McClellan1White Bluff1White Bluff2Flint Creek Power Plant1Independence1Independence2 0

0.05

0.1

0.15

0.2

0.25

MONTUEWEDTHUFRISATSUN
64 

Figure 4. Big Brown Unit 1, Texas hourly 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 dataset acquired from EPA on 

the MANE-VU inventory. Additional profiles were added during this review to support MANEVU state- or county-specific area and nonroad sources. We began the CENRAP review using 

the product (temporal profiles) of this MANE-VU EI review. 

Additionally, we used the final report (STI, 2003) generated for NH3 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 desired 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 modelers can also assign a specific temporal profile 

by a specific unit, stack, and/or facility 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 applications. CEP created a new temporal crossreference to an existing profile in the default 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 section) 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 cross-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=uniform 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. 
66 

Table 18. New Temporal Profile Assignments for CENRAP Point Source SCC

State SCC 

Recommended Monthly, 

Weekly, and Diurnal 

Profiles 

Method of 

Assignment SCC Description 

MN 30500245 262 7 6 30500242 Industrial Processes;Mineral Products;Asphalt Concret

Process ** (use 3-05-002-005 and subtypes) 

MN 30500246 262 7 6 30500242 Industrial Processes;Mineral Products;Asphalt Concret

Process ** (use 3-05-002-005 and subtypes) 

MN 30500247 262 7 6 30500242 Industrial Processes;Mineral Products;Asphalt Concret

Process ** (use 3-05-002-005 and subtypes) 
67 

Table 19. New Temporal Profile Assignments for CENRAP Area Source SCCs 

SCC Description Month Week Diurnal 

Recommendation 

Based on Profile 

Data for SCC 

Description of S

Recomm

2310001000 Industrial Processes;Oil and Gas 

Production: SIC 13;All Processes : Onshore;Total: All Processes 

262 7 26 2310000000 Industrial Proces

Production: SIC 1Processes;Total: 

2310002000 Industrial Processes;Oil and Gas 

Production: SIC 13;All Processes : Offshore;Total: All Processes 

262 7 26 2310000000 Industrial Proces

Production: SIC 1Processes;Total: 

2461870999 Solvent Utilization;Miscellaneous Nonindustrial: Commercial;Pesticide 

Application: Non-Agricultural;Not Elsewhere Classified 

258 7 26 2461800000 Solvent Utilizatio

Non-industrial: CApplication: All PSolvent Types 

2805009200 Miscellaneous Area Sources;Agriculture 

Production - Livestock;Poultry production - broilers;Manure handling and storage 

1500 7 26 2805009300 Miscellaneous Ar

Sources;AgricultuLivestock;Poultry broilers;Land app

2805021100 Miscellaneous Area Sources;Agriculture 

Production - Livestock;Dairy cattle - scrape dairy;Confinement 

1500 7 26 2805021300 Miscellaneous Ar

Sources;AgricultuLivestock;Dairy cdairy;Land applic

2805021200 Miscellaneous Area Sources;Agriculture 

Production - Livestock;Dairy cattle - scrape dairy;Manure handling and storage 

1500 7 26 2805021300 Miscellaneous Ar

Sources;AgricultuLivestock;Dairy cdairy;Land applic

2805023100 Miscellaneous Area Sources;Agriculture 

Production - Livestock;Dairy cattle - drylot/pasture dairy;Confinement 

1500 7 26 2805023300 Miscellaneous Ar

Sources;AgricultuLivestock;Dairy cdairy;Land applic

2805023200 Miscellaneous Area Sources;Agriculture 

Production - Livestock;Dairy cattle - drylot/pasture dairy;Manure handling and storage 

1500 7 26 2805023300 Miscellaneous Ar

Sources;AgricultuLivestock;Dairy cdairy;Land applic

2810020000 Miscellaneous Area Sources;Other 

Combustion;Prescribed Burning of Rangeland;Total 

3 11 13 2810015000 Miscellaneous Ar

Combustion;PresForest Managem
68 

We will augment the temporal profiles and cross-references delivered on Oct 28, 2004 with NH3-

specific temporal profiles using the STI final report on NH3 sources. This will include monthly 

profiles for Texas and Arkansas and diurnal profiles for all states for applicable SCCs. The 

delivery of these profiles/cross-references 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 desired 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 modelers can also assign a specific temporal profile 

by a specific unit, stack, and/or facility identification. We conducted the review of CENRAP 

emissions inventory using the most recent speciation 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 listed 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 assignments 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 supplement 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 will 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 profiles would take additional effort not already in 

the planned scope of work to implement. Some of the more important 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 Profiles 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 Solvent 

Utilization;Miscellaneous Nonindustrial: Commercial;Pesticide 

Application: 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/spatial/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 desired spatial allocation 

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. We conducted the review of CENRAP emissions inventory using the most recent 

speciation cross-reference table available which was the table generated 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 SCCs would be assigned the default surrogate 

which is population when spatially allocating emissions 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/spatial/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 contractors 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 assigned 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 

Population 

2461022999 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/Rocket Engine Firing and 

Testing;Total 

700 Airport Area 
71 

4. QA Review of Final Data Sets 

Table 23 lists the spatial, temporal and speciation 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 that 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: 

• NH3 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 presented 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 version of this report will include any necessary documentation associated 

with the supplemental deliverables. 

Table 23. Spatial, Temporal and Speciation Allocation Data and Memos 

Bytes 

Date 

Created 

Time 

Created Filename 

90209 10/28/2004 10:55 task8_final/amgref.m3.us+can+mex.cenrap.102804.txt 

115493 10/28/2004 10:55 task8_final/amptpro.m3.us+can.cenrap.102804.txt 

650073 10/28/2004 10:55 task8_final/amptref.m3.cenrap.102804.txt 

75776 10/28/2004 10:54 task8_final/CENRAP_AreaEI_profile_review_task8_final.doc 

135810 10/28/2004 10:55 task8_final/CENRAP_AreaEI_profile_review_task8_final.pdf 

48640 10/28/2004 10:54 task8_final/CENRAP_PointEI_profile_review_task8_final.doc 

146830 10/28/2004 10:55 task8_final/CENRAP_PointEI_profile_review_task8_final.pdf 

142013 9/16/2004 18:14 task8_final/gspro.cmaq.cb4p25.txt 

754816 10/28/2004 10:55 task8_final/gsref.cmaq.cb4p25.cenrap.102804.txt 

501 10/28/2004 10:56 task8_final/README.txt 

1324273 9/16/2004 18:13 task8_final/scc_desc.txt 
72 

Table 24. Ancillary Data Descriptions 

File Name Purpose Format Source Possible Deficien

amgref.m3.us+can+mex.cenrap.102804.txt Spatial profile crossreference SMOKE USEPA, MANE-VU and other reviews/applications NH3 specific surrogates 

be developed using landatabases like BELD3 

amptpro.m3.us+can.cenrap.102804.txt Temporal profiles SMOKE USEPA, MANE-VU and 

other reviews/applications. 

NH3 specific temporal pwill be added soon 

amptref.m3.cenrap.102804.txt Temporal profile crossreference SMOKE USEPA, MANE-VU and other reviews/applications NH3 specific temporal p

will be added soon 

gspro.cmaq.cb4p25.txt Speciation profiles for 

CB-IV with PM 

SMOKE USEPA: SMOKE v2 release SPECIATE 4 data could 

available soon 

gsref.cmaq.cb4p25.cenrap.102804.txt Speciation crossreferences for CB-IV with 

PM 

SMOKE USEPA, MANE-VU and 

other reviews/applications 

SPECIATE 4 data could available soon 

scc_desc.txt SCC description SMOKE USEPA: SMOKE v2 release Could be missing some 

descriptions 

amgref.m3.us+can+mex.cenrap.102804.rpo Spatial profile crossreference RPO USEPA, MANE-VU and other reviews/applications NH3 specific surrogates 

be developed using landatabases like BELD3 

amptpro.m3.us+can.cenrap.102804.rpo Temporal profiles RPO USEPA, MANE-VU and 

other reviews/applications. 

NH3 specific temporal pwill be added soon 

amptref.m3.cenrap.102804.rpo Temporal profile crossreference RPO USEPA, MANE-VU and other reviews/applications NH3 specific temporal p

will be added soon 

gspro.cmaq.cb4p25.rpo Speciation profiles for 

CB-IV with PM 

RPO USEPA: SMOKE v2 release SPECIATE 4 data could 

available soon 

gsref.cmaq.cb4p25.cenrap.102804.rpo Speciation crossreferences for CB-IV with 

PM 

RPO USEPA, MANE-VU and 

other reviews/applications 

SPECIATE 4 data could available soon 

ptpro.cem_winter.cenrap.2000-03.txt Temporal profiles for 

CEM units 

SMOKE http://cfpub.epa.gov/gdm/ind

ex.cfm?fuseaction=prepackaged.select

Based on 4 yr (2000-20average profiles 

ptpro.cem_spring.cenrap.2000-03.txt Temporal profiles for 

CEM units 

SMOKE http://cfpub.epa.gov/gdm/ind

ex.cfm?fuseaction=prepackaged.select

Based on 4 yr (2000-20average profiles 

ptpro.cem_summer.cenrap.2000-03.txt Temporal profiles for 

CEM units 

SMOKE http://cfpub.epa.gov/gdm/ind

ex.cfm?fuseaction=prepackaged.select

Based on 4 yr (2000-20average profiles 

ptpro.cem_autumn.cenrap.2000-03.txt Temporal profiles for 

CEM units 

SMOKE http://cfpub.epa.gov/gdm/ind

ex.cfm?fuseaction=prepackaged.select

Based on 4 yr (2000-20average profiles 
73 

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

Formats 

This section describes the inventory and SMOKE emission processor files prepared under this 

project. The Excel Workbook file named “CENRAP Inventory File Documentation 

_030405.xls” provides the names of the files delivered, as well as other file information useful 

for transferring data to air quality modeling centers. 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 have undergone a review which is described in 

section F and in technical memoranda sent to CENRAP on October 28, 2004. 
74 

Table 25. Summary of Mass Emissions and SMOKE Input Files 

S/L/T Agencies Included 

in Files 

NIF 3.0 File Name 

Containing Mass 

Emissions Inventory 

(Access 2000 Database 

Files) 

Temporal Period of 

Mass Emissions 

Inventory SMOKE/IDA File Name

Temporal Period of 

Emissions in 

SMOKE/IDA File Notes 

Point Source Inventory AR, IA, KS, LA, MN, MO, NE, OK, TX, Local, and Tribal 

CENRAP_2002_Point_021605.mdb 

Annual CENRAP_POINT_SMOK

E_INPUT_ANNUAL_DAILY_021805.txt 

Annual for all agencies; 

Daily for MO and TX 

Includes all sectors Tribal inventory is foMinnesota Chippewinclude Lancaster CCounty (Omaha), N

MO and TX CENRAP_2002_Point_D

aily_Missouri_Texas_20050216.mdb 

Daily CENRAP_POINT_SMOK

E_INPUT_ANNUAL_DAILY_021805.txt 

“ Daily emissions for 

the SMOKE/IDA file for all CENRAP agefile separate from thannual emissions. 

Nonroad Source Inventory AR, IA, KS, LA, MN, MO, NE, OK, TX 

CENRAP_2002_Nonroad_030305.mdb 

Annual and Daily CENRAP_NONROAD_S

MOKE_INPUT_ANN_STATE_030405.txt 

Annual Includes NONROAD 

Aircraft, CommerciaRailroad Locomotiveinventory is from CEexcept for TX who sModel Inventory. Mmilitary aircraft and point source inventoinventory does not ccategories in MN. 

Area Source Inventory AR, IA, KS, LA, MN, MO, NE, OK, TX 

CENRAP_2002_Area_022205.mdb 

Annual, Daily, and 

Monthly 

CENRAP_AREA_SMOKE_INPUT_ANN_STATE_022205.txt 

Annual Includes all sectors 

the Area Misc files. from CENRAP-sponare excluded for IA, NE (except for Lancthe SMOKE files for burning inventory w

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_JAN_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_FEB_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_MAR_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 
Table 25 (continued) 

75 

S/L/T Agencies Included 

in Files 

NIF 3.0 File Name 

Containing Mass 

Emissions Inventory 

(Access 2000 Database 

Files) 

Temporal Period of 

Mass Emissions 

Inventory SMOKE/IDA File Name

Temporal Period of 

Emissions in 

SMOKE/IDA File Notes 

Area Source Inventory (continued) IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_APR_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_MAY_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_JUN_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_JUL_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_AUG_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_SEP_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_OCT_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_NOV_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_SMOK

E_INPUT_NH3_MONTH_DEC_120304.txt 

Monthly Emissions x 12 All sectors except fo

Misc files. Monthly 12 (months). 

Fond du Lac Band of the Minnesota Chippewa Tribe 

“ “ CENRAP_AREA_SMOK

E_INPUT_ANN_TRIBE_120704.txt 

Annual Includes emissions 

road and prescribed categories. 

AR, TX, and Lancaster County, NE 

“ “ CENRAP_AREA_BURNI

NG_SMOKE_ INPUT_ANN_TX_AR_NELI_120704.txt 

Annual Includes state and l

burning emissions. source planned burstates are available inventory. 
Table 25 (continued) 

76 

S/L/T Agencies Included 

in Files 

NIF 3.0 File Name 

Containing Mass 

Emissions Inventory 

(Access 2000 Database 

Files) 

Temporal Period of 

Mass Emissions 

Inventory SMOKE/IDA File Name

Temporal Period of 

Emissions in 

SMOKE/IDA File Notes 

Area Miscellaneous Source Inventory AR, IA, KS, LA, MN, MO, NE, OK, TX 

CENRAP_2002_Area_Misc_120804.mdb 

Annual, Daily, and 

Monthly 

CENRAP_AREA_MISC_SMOKE_INPUT_ANN_STATE_120704.txt 

Annual Natural Sources and 

from CMU Model 

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_JAN_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_FEB_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_MAR_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_APR_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_MAY_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_JUN_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_JUL_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_AUG_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_SEP_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_OCT_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ “ CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_NOV_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo

IA, KS, LA, MN, MO, NE, OK 

“ ” CENRAP_AREA_MISC_

SMOKE_INPUT_NH3_MONTH_DEC_120304.txt 

Monthly Emissions x 12 Natural Sources and 

from CMU Model. Mmultiplied by 12 (mo
77 

Table 26. Profiles, Cross-Reference Tables, and Other Ancillary Data Provided to 

CENRAP that can be used with Emissions Preprocessors/Models (e.g. SMOKE, 

CONCEPT) 

Filename Purpose Format1

amgref.m3.us+can+mex.cenrap.102804.txt Spatial profile cross-reference SMOKE 

amptpro.m3.us+can.cenrap.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 cross-references for CB-IV with PM SMOKE 

scc_desc.txt SCC description SMOKE 

amgref.m3.us+can+mex.cenrap.102804.rpo Spatial profile cross-reference RPO 

amptpro.m3.us+can.cenrap.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. 
78 

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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 included in the database. The nonroad source sector 

summaries include emissions for aircraft, commercial marine vessels, and locomotives as well as 

the emissions from the NONROAD model categories. The onroad summaries were prepared 

from the CENRAP-sponsored inventory for onroad sources. Tables 1G, 2C, 3C, 4C, and 5C 

include the data source code for the area, point, nonroad, and onroad sectors to assist in 

identifying the origin and year of emissions inventory data. The data source codes were defined 

previously in Chapter II of this report. 

The summaries in Appendix A of this report are taken from the emissions summary Table 2D. 

However, emissions summary Table 2D includes natural sources/biogenic NH3 emissions and 

geogenic PM10-PRI and PM25-PRI emissions. The biogenic and geogenic emissions were 

excluded from the summary tables included in Chapter I of the report. Thus, the biogenic and 

geogenic emissions were excluded from the NH3 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 Emissions by Pollutant and Sector for the CENRAP 

Region 

Table 1B_All Sectors Summary of Annual Emissions by State FIPS/Tribal Code/State 

Name/Tribal Name/Pollutant and Sector 

Table 1C_All Sectors Summary of Annual Emissions by State FIPS/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 Emissions by State FIPS/Tribal Code/State 

Name/Tribal Name/ Source Category Name and Number/Sector and 

Pollutant 

Table 1F_All Sectors Summary of Annual Emissions by State FIPS/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 Emissions by State FIPS/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 Emissions by State FIPS/Tribal Code/State 

Name/Tribal Name and Pollutant 

Table 2B_Area Sources Summary of Annual Emissions by State FIPS/Tribal Code/State 

Name/Tribal Name/County FIPS/County Name and Pollutant 

Table 2C_Area Sources Summary of Annual Emissions and Data Source Codes by State 

FIPS/Tribal Code/State Name/Tribal Name/County FIPS/County 

Name/SCC/SCC Description and Pollutant 

Table 2D_Area Sources Summary of Annual Emissions by SCC/SCC Description/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 FIPS/Tribal Code/State 

Name/Tribal Name and Pollutant 

Table 3B_Point Sources Summary of Annual Emissions by State FIPS/Tribal Code/State 

Name/Tribal Name/County FIPS/County Name and Pollutant 

Table 3C_Point Sources Summary of Annual Emissions and Data Source Codes by State 

FIPS/Tribal Code/State Name/Tribal Name/County FIPS/County 

Name/SCC/SCC Description and Pollutant 

Table 3D_Point Sources Summary of Annual Emissions by SCC/SCC Description/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 Emissions by State FIPS/State 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/County Name/SCC/SCC Description and 

Pollutant 

Table 4D_Nonroad Sources Summary of Annual Emissions by SCC/SCC Description/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 Emissions by State FIPS/State Name and Pollutant 

Table 5B_Onroad Sources Summary of Annual Emissions by State FIPS/State Name/County 

FIPS/County Name and Pollutant 

Table 5C_Onroad Sources Summary of Annual Emissions and Data Source Codes by State 

FIPS/State Name/County FIPS/County Name/SCC/SCC Description and 

Pollutant 

Table 5D_Onroad Sources Summary of Annual Emissions by SCC/SCC Description/Pollutant and 

State 

Table 5E_Onroad Sources Summary of Annual Emissions by Pollutant and State 
81 

IV. METHODS FOR AREAS OUTSIDE OF THE CENRAP REGION 

A. Data Sources 

This task involved gathering and consolidating point and area source 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 the 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 are needed for CENRAP modeling applications. 

We contacted the VISTAS and WRAP RPOs and were able to acquire 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 late 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 inventories were finalized at the 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 being 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 obtain 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 databases 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 and the 1995 point source inventory can’t be used 

by CENRAP unless their contractors get permission from Environment Canada to do so. 

However, we were able to obtain the area, nonroad, 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 data including a lack of subprovince 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 inventory. We reported these issues to Environment Canada and 

very recently (late December 2004) received another 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 until confidence in the year 2000 data can be acquired. 

The Minerals Management Services (MMS) recently released a year 2000 Gulfwide Emissions 

Inventory (GWEI) which is available at the following website: 

http://www.gomr.mms.gov/homepg/regulate/environ/airquality/gulfwide_emission_inventory/20

00GulfwideEmissionInventory.html 

This inventory dataset includes platform (treated as point sources) and non-platform (treated as 

area sources) sources for most of the Gulf of Mexico. TCEQ and other contractors (Environ and 

ERG) provided UNC-CEP with ancillary and sample MMS inventories for an average August 

2000 day in Emissions Preprocessor System version 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 platform sources as soon as this ancillary data 

are acquired. Additional ancillary data necessary 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 (Figure 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 inventories were provided with the data to help emissions modelers 

understand and properly apply the inventory 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 deliverables, the date acquired, 

the sources used to assemble the data, the contractor(s) and/or organizations that assembled the 

data, possible deficiencies of the data, time period of the data (e.g., year 2002), and other 

necessary information needed to enable CENRAP to best understand the databases that are 

available. Draft summaries of point and area source emissions data for these data obtained for 

areas outside of CENRAP were generated 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. Additional 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-references and temporal cross-references for the 

Minerals Management Service (MMS) inventories, but also included better default stack 

parameters for Mexican point sources. Table 29 includes a listing of all files provided to 

CENRAP on December 27, 2004. 
84 

Table 28. Description of Inventory Data Provided to CENRAP 

Geographic

Region/RPO Raw Data 

Time 

Period 

Raw 

Data 

Format 

Date 

Received Source of Data 

Source of Ancillary 

Data Possible Defic

VISTAS Point, area 

and nonroad 

2002 SMOKE 

IDA 

24-Aug-04 Gregory Stella, Alpine 

Geophysics 

Gregory Stella, Alpine Geophysics 

Possibly updateinventory comin

WRAP Point, area 

and nonroad 

2002 SMOKE 

IDA 

1-Dec-04 Tom Moore, Colorado 

St and Zac Adelman, UNC-CEP 

Tom Moore, Colorado St and Zac Adelman, UNC-CEP 

Possibly updateinventory comin

Mexico Point, 

area, nonroad and mobile 

1999 SMOKE 

IDA 

Early 2002 Hampden Kuhns, 

Desert Research Institute 

Jeff Vukovich, UNCCEP 1999 specific; u

Mexican inventoavailable from Esoon? 

Canada Area, 

nonroad and mobile 

2000 SMOKE 

IDA 

Jan 12, 

2005 

ftp://ftp.epa.gov/pub/EmisInventory/canada_2000inventory/. USEPA via Env. Canada 

UNC-CEP New inventory; 

tested in AQ moapplications. 

Gulf of Mexico 

Point, area and nonroad 

2000 MS 

Access 

18-Oct-04 MMS website: 

http://www.gomr.mms.gov/homepg/regulate/environ/airquality/gulfwide_emission_inventory/2000GulfwideEmissionInventory.html 

Jim MacKay and Ron Thomas, TCEQ and Richard Billings, ERG 

2000 specific; pinventory is basaverage August 

MARAMA Area, 

nonroad and point 

2002 SMOKE 

IDA 

Last 

updated 

Feb 15, 

2005 

http://www.marama.org/visibility/Inventory%20Summary/2002EmissionsInventory.htm 

MARAMA website/ EH Pechan 

Unknown since recently. 
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_nrd+stat+onrd.ida.gz 

991 12/6/2004 13:41:08 task4b/CN/summaries/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/summaries/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_dat/agpro.nonplatform.US36_148X112.txt.gz 

143 12/17/2004 18:47:51 task4b/MMS/ge_dat/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_dat/gsref.goads.cmaq.cb4p25.txt.gz 

122488 12/17/2004 18:47:52 task4b/MMS/ge_dat/scc_desc.goads.txt.gz 

449 12/20/2004 15:47:12 task4b/MMS/non-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-platform/NOX.nonplatform_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-platform/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-platform/summaries/a.scc.goads.rpt.gz 

2245 12/20/2004 15:47:40 task4b/MMS/non-platform/summaries/a.state.goads.rpt.gz 

13071 12/20/2004 15:47:40 task4b/MMS/non-platform/summaries/a.state_scc.goads.rpt.gz 

1123 12/20/2004 15:47:40 task4b/MMS/non-platform/summaries/ag.scc.us36.goads.rpt.gz 

2267 12/20/2004 15:47:40 task4b/MMS/non-platform/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-platform/VOC.nonplatform_2000EI.ida.sort.gz 

120226 12/20/2004 15:46:35 task4b/MMS/platform/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/PM10.afs.gwei2000.20000801.latlong.ida.gz 

99235 12/20/2004 15:46:36 task4b/MMS/platform/PM2_5.afs.gwei2000.20000801.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/SO2.afs.gwei2000.20000801.latlong.ida.gz 

891 12/20/2004 15:47:56 task4b/MMS/platform/summaries/p.county.goads.rpt 

9566 12/20/2004 15:47:56 task4b/MMS/platform/summaries/p.scc.goads.rpt 

811 12/20/2004 15:47:57 task4b/MMS/platform/summaries/p.state.goads.rpt 

10358 12/20/2004 15:47:57 task4b/MMS/platform/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 task4b/MMS/README.04dec20.mms 

281244 12/6/2004 13:43:49 task4b/MX/arinv.mx.ver7.txt.gz 

412 12/6/2004 13:44:42 task4b/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/summaries/a.county.mexico.rpt.gz 

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

750 12/6/2004 13:45:46 task4b/MX/summaries/a.state.mexico.rpt.gz 

11251 12/6/2004 13:45:46 task4b/MX/summaries/a.state_scc.mexico.rpt.gz 

1896 12/6/2004 13:45:53 task4b/MX/summaries/p.county.mexico.rpt.gz 

1136 12/6/2004 13:45:53 task4b/MX/summaries/p.scc.mexico.rpt.gz 

793 12/6/2004 13:45:53 task4b/MX/summaries/p.state.mexico.rpt.gz 

2595 12/6/2004 13:45:53 task4b/MX/summaries/p.state_scc.mexico.rpt.gz 

1543109 12/1/2004 16:06:30 task4b/VISTAS/ida_ar_2002_24mar04.emis.onlyVISTAS.cep.gz 

5653943 12/1/2004 16:06:30 task4b/VISTAS/ida_nr_2002_23mar04.emis.onlyVISTAS.cep.gz 

2963335 12/1/2004 16:06:31 task4b/VISTAS/ptinv_vistas_2002_041504.ida.onlyVISTAS.cep.gz 

36041 12/1/2004 15:34:56 task4b/VISTAS/summaries/a.county.onlyvistas.rpt.gz 

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

773 12/1/2004 15:34:56 task4b/VISTAS/summaries/a.state.onlyvistas.rpt.gz 

38118 12/1/2004 15:34:56 task4b/VISTAS/summaries/a.state_scc.onlyvistas.rpt.gz 

38973 12/1/2004 15:47:05 task4b/VISTAS/summaries/n.county.onlyvistas.rpt.gz 

11112 12/1/2004 15:47:05 task4b/VISTAS/summaries/n.scc.onlyvistas.rpt.gz 

766 12/1/2004 15:47:05 task4b/VISTAS/summaries/n.state.onlyvistas.rpt.gz 

92264 12/1/2004 15:47:05 task4b/VISTAS/summaries/n.state_scc.onlyvistas.rpt.gz 

30334 12/1/2004 15:23:06 task4b/VISTAS/summaries/p.county.onlyvistas.rpt.gz 

95552 12/1/2004 15:23:06 task4b/VISTAS/summaries/p.scc.onlyvistas.rpt.gz 

739 12/1/2004 15:23:06 task4b/VISTAS/summaries/p.state.onlyvistas.rpt.gz 

265922 12/1/2004 15:23:06 task4b/VISTAS/summaries/p.state_scc.onlyvistas.rpt.gz 

493742 12/2/2004 17:27:40 task4b/WRAP/area/arinv.WRAP2002_v3_ida.txt.onlyWRAP.cep.gz 

564251 12/2/2004 17:26:16 task4b/WRAP/nonroad/nrinv.Environ_WRAP_aut03_v2_ida.txt.gz 

564198 12/2/2004 17:26:17 task4b/WRAP/nonroad/nrinv.Environ_WRAP_spr03_v2_ida.txt.gz 

579653 12/2/2004 17:26:19 task4b/WRAP/nonroad/nrinv.Environ_WRAP_sum03_v2_ida.txt.gz 

539663 12/2/2004 17:26:21 task4b/WRAP/nonroad/nrinv.Environ_WRAP_win03_v2_ida.txt.gz 

5111 12/2/2004 17:26:22 task4b/WRAP/nonroad/nrinv.WRAP_shipping03_v1_ida.txt.gz 

3135152 12/2/2004 17:26:52 task4b/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/summaries/a.scc.onlywrap.rpt.gz 

887 12/2/2004 11:10:58 task4b/WRAP/summaries/a.state.onlywrap.rpt.gz 

28653 12/2/2004 11:10:58 task4b/WRAP/summaries/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/summaries/n.county.shp_wrap.rpt.gz 

24725 12/2/2004 17:13:30 task4b/WRAP/summaries/n.county.spr_wrap.rpt.gz 

25009 12/2/2004 17:15:16 task4b/WRAP/summaries/n.county.sum_wrap.rpt.gz 

24516 12/2/2004 17:10:29 task4b/WRAP/summaries/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/summaries/n.state.aut_wrap.rpt.gz 

453 12/2/2004 17:19:44 task4b/WRAP/summaries/n.state.shp_wrap.rpt.gz 

964 12/2/2004 17:13:30 task4b/WRAP/summaries/n.state.spr_wrap.rpt.gz 

956 12/2/2004 17:15:16 task4b/WRAP/summaries/n.state.sum_wrap.rpt.gz 

958 12/2/2004 17:10:29 task4b/WRAP/summaries/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/summaries/n.state_scc.aut_wrap.rpt.gz 

706 12/2/2004 17:19:44 task4b/WRAP/summaries/n.state_scc.shp_wrap.rpt.gz 

12857 12/2/2004 17:13:30 task4b/WRAP/summaries/n.state_scc.spr_wrap.rpt.gz 

12913 12/2/2004 17:15:16 task4b/WRAP/summaries/n.state_scc.sum_wrap.rpt.gz 

12480 12/2/2004 17:10:29 task4b/WRAP/summaries/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/summaries/p.scc.onlywrap.rpt.gz 

879 12/2/2004 11:03:55 task4b/WRAP/summaries/p.state.onlywrap.rpt.gz 

161640 12/2/2004 11:03:55 task4b/WRAP/summaries/p.state_scc.onlywrap.rpt.gz 
88 

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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 Plan (QAPP) for Consolidation of Emissions 

Inventories (Schedule 9; Work Item 3), Final. Prepared by E.H. Pechan & Associates, 

Inc. and Carolina Environmental Program 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 Residential 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 Controlled Emissions Calculator, User’s Manual, 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 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 Clearinghouse 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. Prepared 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 Demonstration of the Quality Assurance (QA) 

software specifically developed for the National Emission Inventory (NEI),” presented at 

the International Emission Inventory Conference “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-Oil 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 Gasoline, 2-Stroke 2260 NONROAD 208,980 4.77 48.47 

Petroleum 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 Gasoline, 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 Combustion 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 Agriculture 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 Evaporation-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-Electric 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 Products 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-Printing/Publishing 405 POINT 7,394 0.17 98.12 

Mobile Sources-CNG 2268 NONROAD 6,458 0.15 98.27 

Miscellaneous Area Sources-Agricultural ProductionCrops 2801 AREA 6,215 0.14 98.41 

Industrial Processes-Secondary Metal 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-Food 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-Primary Metal Production 303 POINT 2,625 0.06 99.39 

Internal Combustion Engines-Commercial/Institutional 2030 POINT 2,349 0.05 99.44 

Industrial Processes-Industrial Processes: NEC 2399 AREA 2,097 0.05 99.49 

Waste Disposal-Solid Waste Disposal-Government 501 POINT 2,076 0.05 99.54 

Stationary 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-Electric 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 Metal 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 Disposal-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-Fugitive Emissions 2888 POINT 508 0.01 99.89 

Industrial Processes-Electrical Equipment 313 POINT 502 0.01 99.90 

Internal Combustion Engines-Engine 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-Transportation Equipment 314 POINT 378 0.01 99.94 

Mobile Sources-Aircraft 2275 AREA 285 0.01 99.95 

Mobile Sources-Off-highway Vehicle Gasoline, 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 Leather 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-Miscellaneous Resins 6452 POINT 12 0.00 100.0 

Industrial Processes-Building Construction 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 Categories-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-Construction: SIC 15-17 2311 AREA 0 100.0 

Mobile Sources-Paved Roads 2294 AREA 0 100.0 

Industrial Processes-Mining and Quarrying: SIC 14 2325 AREA 0 100.0 

Miscellaneous 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 Engines-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-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 0 100.0 

Miscellaneous 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-Electric 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-Oil 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 Products 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 91.22 

Miscellaneous 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 94.09 

Stationary Source Fuel CombustionCommercial/Institutional 2103 AREA 33,852 0.66 94.75 

Internal Combustion Engines-Electric 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-Primary 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 Combustion 2810 POINT 8,248 0.16 98.76 

Internal Combustion Engines-Commercial/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 Metal Production 304 POINT 3,897 0.08 99.36 

Waste Disposal-Solid Waste Disposal-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 Agriculture 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 Disposal-Industrial 503 POINT 1,227 0.02 99.89 

Internal Combustion Engines-Engine Testing 2040 POINT 868 0.02 99.91 

Petroleum and Solvent Evaporation-Surface Coating 

Operations 

402 POINT 627 0.01 99.92 

Industrial Processes-Industrial 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 Metal 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-Fugitive 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-Transportation Equipment 314 POINT 5 0.00 99.96 

Internal Combustion Engines-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 99.96 

Miscellaneous Area Sources-Agricultural ProductionCrops 2801 POINT 2 0.00 99.96 

Industrial Processes-Building Construction 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 Categories-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 0 100.0 

Waste 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 Leather 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-Miscellaneous 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-Construction: SIC 15-17 2311 AREA 0 100.0 

Mobile Sources-Paved Roads 2294 AREA 0 100.0 

Industrial Processes-Mining and Quarrying: SIC 14 2325 AREA 0 100.0 

Miscellaneous 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-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 0 100.0 

Miscellaneous 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 Combustion 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-Electric Generation 1010 POINT 275,840 1.23 90.56 

Industrial Processes-Oil 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-Primary Metal Production 303 POINT 96,722 0.43 97.61 

Industrial Processes-Mineral Products 305 POINT 63,534 0.28 97.89 

Mobile Sources-Aircraft 2275 NONROAD 58,554 0.26 98.15 

Miscellaneous 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 99.32 

Stationary Source Fuel CombustionCommercial/Institutional 2103 AREA 19,902 0.09 99.41 

Industrial Processes-Secondary Metal 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 Agriculture 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-Electric 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 Disposal-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-Commercial/Institutional 2030 POINT 3,660 0.02 99.96 

Waste Disposal-Solid Waste Disposal-Industrial 503 POINT 1,368 0.01 99.97 

Internal Combustion Engines-Engine 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 Evaporation-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-Fugitive 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-Printing/Publishing 405 POINT 31 0 99.98 

MACT Source Categories-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-Transportation Equipment 314 POINT 2 0 99.98 

Industrial Processes-Leather and Leather Products 3209 POINT 2 0 99.98 

Internal Combustion Engines-Off-highway Diesel 

Engines 

2700 POINT 2 0 99.98 

Industrial Processes-Textile Products 330 POINT 2 0 99.98 

Miscellaneous 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 Construction 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-Miscellaneous 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-Construction: SIC 15-17 2311 AREA 0 100.0 

Mobile Sources-Paved Roads 2294 AREA 0 100.0 

Industrial Processes-Mining and Quarrying: SIC 14 2325 AREA 0 100.0 

Miscellaneous 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-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 0 100.0 

Miscellaneous 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 

SO2

Category 

Category 

Number Sector Tons/Year 

Percent 

of Total 

Cumulative 

Percent 

External Combustion Boilers-Electric 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-Primary 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 Metal 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 95.36 

Miscellaneous 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 Combustion 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 Disposal-Industrial 503 POINT 1,585 0.06 99.49 

Industrial Processes-Food and Agriculture 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 Disposal-Government 501 POINT 1,164 0.05 99.76 

Internal Combustion Engines-Electric 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-Industrial 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-Commercial/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-Engine Testing 2040 POINT 53 0 100.0 

Industrial Processes-Fabricated Metal Products 309 POINT 52 0 100.0 
Table A-4 (continued) 

A-12 

SO2

Category 

Category 

Number Sector Tons/Year 

Percent 

of Total 

Cumulative 

Percent 

Waste 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-Transportation 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 Evaporation-Petroleum Liquids 

Storage (non-Refinery) 

4040 POINT 1 0 100.0 

Petroleum and Solvent Evaporation-Printing/Publishing 405 POINT 1 0 100.0 

Internal Combustion Engines-Fugitive Emissions 2888 POINT 1 0 100.0 

Miscellaneous 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 Engines-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 Construction 3110 POINT 0 100.0 

Petroleum and Solvent Evaporation : Organic Chemical 

Transportation 

4088 POINT 0 100.0 

Industrial Processes-Oil and Gas Production: SIC 13 2310 AREA 0 100.0 

Miscellaneous Area Sources-Agricultural ProductionCrops 2801 AREA 0 100.0 

Industrial Processes-Food and Kindred Products: SIC 

20 

2302 AREA 0 100.0 

MACT Source Categories-Miscellaneous Processes 

(Chemicals) 

6848 POINT 0 100.0 

Industrial Processes-Leather and Leather 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 

SO2

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-Miscellaneous 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-Construction: SIC 15-17 2311 AREA 0 100.0 

Mobile Sources-Paved Roads 2294 AREA 0 100.0 

Industrial Processes-Mining and Quarrying: SIC 14 2325 AREA 0 100.0 

Miscellaneous 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-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 0 100.0 

Miscellaneous 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 31.52 

Miscellaneous 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 55.62 

Miscellaneous 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 Fuel 

CombustionCommercial/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 99.94 

Miscellaneous 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 

Percent 

Internal 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 99.96 

Miscellaneous 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 99.96 

Miscellaneous 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 Solvent 

Evaporation4250 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 

NH3

Category 

Category 

Number Sector Tons/Year 

Percent 

of Total 

Cumulative 

Percent 

Miscellaneous 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 Agriculture 302 POINT 157,951 9.21 67.21 

Miscellaneous 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-Industrial Processes: NEC 2399 AREA 33,960 1.98 86.9 

Miscellaneous Area Sources-Domestic Animals Waste 

Emissions 

2806 AREA 33,663 1.96 88.86 

Miscellaneous Area Sources-Other Combustion 2810 AREA 32,201 1.88 90.74 

Miscellaneous 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 Combustion 2810 POINT 7,907 0.46 98.01 

Waste 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-Electric 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 Disposal-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 Metal 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-Electric Generation 2010 POINT 323 0.02 99.91 

Stationary 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 

NH3

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 Disposal-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 Metal 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 Gas 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-Printing/Publishing 405 POINT 0 0 100.0 

Industrial Processes-Leather and Leather Products 3209 POINT 0 0 100.0 

Internal Combustion Engines-Engine Testing 2040 POINT 0 0 100.0 

Internal Combustion Engines-Commercial/Institutional 2030 POINT 0 0 100.0 

Miscellaneous Area Sources-Agricultural ProductionCrops 2801 POINT 0 0 100.0 

Internal Combustion Engines-Fugitive 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-Transportation Equipment 314 POINT 0 100.0 

Industrial Processes-Machinery, Miscellaneous 3129 POINT 0 100.0 

Petroleum and Solvent Evaporation-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 

NH3

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 Engines-Off-highway Diesel 

Engines 

2700 POINT 0 100.0 

Industrial Processes-Textile Products 330 POINT 0 100.0 

Industrial Processes-Building Construction 3110 POINT 0 100.0 

Petroleum and Solvent Evaporation : Organic Chemical 

Transportation 

4088 POINT 0 100.0 

Industrial Processes-Oil and Gas Production: SIC 13 2310 AREA 0 100.0 

MACT Source Categories-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-Miscellaneous 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-Construction: SIC 15-17 2311 AREA 0 100.0 

Mobile Sources-Paved Roads 2294 AREA 0 100.0 

Industrial Processes-Mining and Quarrying: SIC 14 2325 AREA 0 100.0 

Miscellaneous 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 
A-22 

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