APPENDIX A

Air Quality System (AQS) Data
Regional Air Quality Analyses for

Ozone, PM2.5, and Regional Haze:

Final Technical Support Document

April 25, 2008

States of Illinois, Indiana, Michigan, Ohio, and Wisconsin

The document can be found at:

.b.llP://www.ladco.org@ports/technical sugport document/

tsd/tsd version iv april 25 2008 final.gQf
State of Ohio Environmental Protection Agency

STREET ADDRESS:

Lazarus Government Center

50 W. Town St., Suite 700

Columbus, Ohio 43215

CERTIFIED MAIL

April 1, 2010

TELE: (614) 644-3020 FAX: (614) 644-3184

www.epa.state.oh.us

MAILING ADDRESS:

P.O. Box 1049

Columbus, OH 43216·1049

Cheryl L. Newton, Director

Air and Radiation Division

U.S.EPA, Region V

77 West Jackson Boulevard

Chicago, Illinois 60604

RE: 2009 SLAMS PM,s and Ozone Data Certification

Dear Ms. Newton:

Please find enclosed our SLAMS Report (AMP-450, AMP-450NC and AMP255) for calendar year 2009 as required in 40 CPR, Part 58, Section

58.15. The ambient concentration and the quality assurance data

have been completely submitted to the AQS database.

The remaining criteria pollutant data will be certified within the

month of April.

I certify that the Ozone and PM,., data in the report are accurate to

the best of our knowledge taking into consideration the quality

assurance findings and only to the extent of the activities

performed by Ohio EPA.

There were no incidents of air pollution that reached or exceeded

levels as specified by Section 51.151 which could cause significant

harm to the health of persons.

Sincerely,

&/&rt/~~~ Robert Hodanbosi

Chief, Division of Air pollution Control

Enclosure

@ Printed on Recycled Paper

Ted Strickland, Governor

Lee Fisher, LIeutenant Governor

Chris Korleski, Director

Ohio EPA is an Equal Opportunity Employer
UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

QUICKLOOK CRITERIA PARAMETERS

Report Request ID: 787657 Report Code: AMP450 Sep. 8, 2010

Selection Criteria Page 1

User ID: GYE

State County Site Parameter POC City AQCR UAR CBSA CSA

EPA

Region Method Duration Begin Date End Date

39

39

39

39

21

21

21

061

017

025

165

015

037

117

GEOGRAPHIC SELECTIONS

PROTOCOL SELECTIONS

Parameter

Classification Parameter Method Duration

QUICK LOOK 88101

SELECTED OPTIONS

EVENTS PROCESSING

MERGE PDF FILES

Option Type Option Value

EXCLUDE REGIONALLY CONCURRED EVENTS

YES

SORT ORDER

1

2

3

4

5

6

7

Order Column

PARAMETER_CODE

STATE_CODE

COUNTY_CODE

SITE_ID

POC

DATES

EDT_ID

GLOBAL DATES

2007

Start Date End Date

2009

Tribal

APPLICABLE STANDARDS

Standard Description

PM25 24-hour 2006

PM25 Annual 2006
Sep. 8, 2010

Note: The * indicates that the mean does

not satisfy summary criteria.

UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM

QUICK LOOK REPORT (AMP450)

Page 1 of 7

EXCEPTIONAL DATA TYPES

EDT DESCRIPTION

0

1

2

5

NO EVENTS

EVENTS EXCLUDED

EVENTS INCLUDED

EVENTS WITH CONCURRENCE EXCLUDED
Sep. 8, 2010

Note: The * indicates that the mean does

not satisfy summary criteria.

UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM

QUICK LOOK REPORT (AMP450)

Page 2 of 7

PM2.5 - Local Conditions (88101) Kentucky Micrograms/cubic meter (LC) (105)

SITE ID

P

O

C PQAO CITY COUNTY ADDRESS YEAR METH #OBS

4TH

MAX CERT EDT

21-037-3002

21-037-3002

21-037-3002

21-117-0007

21-117-0007

21-117-0007

1

1

1

1

1

1

0584

0584

0584

0584

0584

0584

Highland 

Heights

Highland 

Heights

Highland 

Heights

Covington

Covington

Covington

Campbell

Campbell

Campbell

Kenton

Kenton

Kenton

524A John 

Hill Road

524A John 

Hill Road

524A John 

Hill Road

1401 DIXIE 

HWY, 

UNIVERSITY 

COLLEGE

1401 DIXIE 

HWY, 

UNIVERSITY 

COLLEGE

1401 DIXIE 

HWY, 

UNIVERSITY 

COLLEGE

2007

2008

2009

2007

2008

2009

118

118

145

118

118

118

34.0

30.5

24.5

34.7

30.5

24.5

Y

Y

5

0

0

5

0

0

24-HOUR 

98TH

PERCENTILE

VALUE

34.0

26.1

22.5

31.6

25.2

23.1

50

119

114

117

121

113

1ST

MAX

2ND

MAX

3RD

MAX

33.5

27.3

22.7

34.6

27.3

23.3

26.3

26.1

22.5

31.6

25.2

23.1

26.0

24.4

21.4

30.5

25.0

22.1

14.36*

11.83 

11.34 

14.20 

11.99 

11.04 

WTD

ARITH

MEAN
Sep. 8, 2010

Note: The * indicates that the mean does

not satisfy summary criteria.

UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM

QUICK LOOK REPORT (AMP450)

Page 3 of 7

PM2.5 - Local Conditions (88101) Ohio Micrograms/cubic meter (LC) (105)

SITE ID

P

O

C PQAO CITY COUNTY ADDRESS YEAR METH #OBS

4TH

MAX CERT EDT

39-017-0003

39-017-0003

39-017-0003

39-017-0003

39-017-0003

39-017-0016

39-017-0016

39-017-0016

39-017-1004

39-025-0022

39-025-0022

39-025-0022

39-061-0006

39-061-0006

39-061-0006

39-061-0014

1

1

1

2

2

1

1

1

1

1

1

1

1

1

1

1

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

Middletown

Middletown

Middletown

Middletown

Middletown

Fairfield

Fairfield

Fairfield

Middletown

Batavia

Batavia

Batavia

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Butler

Butler

Butler

Butler

Butler

Butler

Butler

Butler

Butler

Clermont

Clermont

Clermont

Hamilton

Hamilton

Hamilton

Hamilton

BONITA & ST 

JOHN

BONITA & ST 

JOHN

BONITA & ST 

JOHN

BONITA & ST 

JOHN

BONITA & ST 

JOHN

400 NILLES 

RD.

400 NILLES 

RD.

400 NILLES 

RD.

HOOK FIELD 

AIRPORT

2400 CLERMONT

CENTER DR.

2400 CLERMONT

CENTER DR.

2400 CLERMONT

CENTER DR.

11590 GROOMS 

RD

11590 GROOMS 

RD

11590 GROOMS 

RD

SEYMOUR & 

VINE ST.

2007

2008

2009

2008

2009

2007

2008

2009

2007

2007

2008

2009

2007

2008

2009

2007

120

120

000

000

000

120

120

000

120

120

120

120

120

120

120

120

37.8

38.4

31.5

38.1

29.9

38.0

39.5

33.0

37.6

40.8

25.3

23.5

40.8

33.9

29.7

41.5

Y

Y

Y

Y

Y

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

24-HOUR 

98TH

PERCENTILE

VALUE

36.8

27.1

25.3

30.9

22.8

34.5

31.5

27.2

36.4

33.5

23.6

22.0

34.7

27.0

24.2

36.5

118

119

116

58

59

115

118

113

112

114

116

121

296

174

122

109

1ST

MAX

2ND

MAX

3RD

MAX

37.1

31.2

27.4

30.9

22.8

36.8

32.7

29.5

36.9

34.1

24.5

22.4

39.2

28.1

26.3

38.1

36.8

27.1

25.3

27.3

22.2

34.5

31.5

27.2

36.4

33.5

23.6

22.0

38.1

28.1

24.2

36.5

35.3

26.3

24.3

27.2

21.9

34.0

27.6

25.5

35.5

33.1

23.5

21.8

37.2

27.0

23.9

36.2

15.41 

13.69 

12.68 

14.32 

12.49 

14.94 

13.75 

13.08 

14.63 

14.01 

11.75 

11.01 

14.63 

12.48 

12.11 

16.59 

WTD

ARITH

MEAN
Sep. 8, 2010

Note: The * indicates that the mean does

not satisfy summary criteria.

UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM

QUICK LOOK REPORT (AMP450)

Page 4 of 7

PM2.5 - Local Conditions (88101) Ohio Micrograms/cubic meter (LC) (105)

SITE ID

P

O

C PQAO CITY COUNTY ADDRESS YEAR METH #OBS

4TH

MAX CERT EDT

39-061-0014

39-061-0014

39-061-0014

39-061-0014

39-061-0040

39-061-0040

39-061-0040

39-061-0042

39-061-0042

39-061-0042

39-061-0043

39-061-0043

39-061-7001

39-061-7001

39-061-7001

39-061-8001

1

1

2

2

1

1

1

1

1

1

1

1

1

1

1

1

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

1259

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Cincinnati

Sharonville

Sharonville

Norwood

Norwood

Norwood

St. Bernard

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

Hamilton

SEYMOUR & 

VINE ST.

SEYMOUR & 

VINE ST.

SEYMOUR & 

VINE ST.

SEYMOUR & 

VINE ST.

250 WM. 

HOWARD TAFT

250 WM. 

HOWARD TAFT

250 WM. 

HOWARD TAFT

2101 W. 8TH 

ST.

2101 W. 8TH 

ST.

2101 W. 8TH 

ST.

3254 E. 

KEMPER RD.

3254 E. 

KEMPER RD.

2059 SHERMAN 

AVE.

2059 SHERMAN 

AVE.

2059 SHERMAN 

AVE.

300 MURRAY 

RD.

2008

2009

2008

2009

2007

2008

2009

2007

2008

2009

2007

2008

2007

2008

2009

2007

120

120

000

119

120

000

142

120

120

000

120

120

120

000

142

120

37.7

34.3

40.1

35.3

41.9

31.5

28.5

39.2

33.5

36.5

37.2

35.0

40.9

34.2

30.5

37.4

Y

Y

Y

Y

Y

Y

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

0

24-HOUR 

98TH

PERCENTILE

VALUE

33.0

27.1

34.7

31.1

34.7

25.5

24.8

35.9

27.5

27.0

34.0

28.2

33.7

30.3

25.7

35.4

119

355

58

62

107

107

116

110

111

109

116

117

111

112

119

110

1ST

MAX

2ND

MAX

3RD

MAX

33.3

33.9

34.7

31.1

35.3

26.6

25.7

36.3

32.2

28.2

34.0

28.5

35.0

31.9

27.8

36.3

33.0

29.5

33.0

30.4

34.7

25.5

24.8

35.9

27.5

27.0

34.0

28.2

33.7

30.3

25.7

35.4

31.7

29.1

32.1

25.1

33.1

25.0

24.8

33.6

27.5

26.3

32.6

28.0

32.0

28.9

25.7

32.8

15.12 

13.40 

15.25 

13.89 

15.09 

12.62 

12.73 

15.90 

14.40 

13.71 

14.85 

13.32 

15.09 

13.74 

12.97 

16.07 

WTD

ARITH

MEAN
Sep. 8, 2010

Note: The * indicates that the mean does

not satisfy summary criteria.

UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM

QUICK LOOK REPORT (AMP450)

Page 5 of 7

PM2.5 - Local Conditions (88101) Ohio Micrograms/cubic meter (LC) (105)

SITE ID

P

O

C PQAO CITY COUNTY ADDRESS YEAR METH #OBS

4TH

MAX CERT EDT

39-061-8001

39-061-8001

39-165-0007

39-165-0007

39-165-0007

1

1

1

1

1

1259

1259

1259

1259

1259

St. Bernard

St. Bernard

Lebanon

Lebanon

Lebanon

Hamilton

Hamilton

Warren

Warren

Warren

300 MURRAY 

RD.

300 MURRAY 

RD.

416 SOUTHEAST

ST.

416 SOUTHEAST

ST.

416 SOUTHEAST

ST.

2008

2009

2007

2008

2009

120

120

120

120

120

37.4

30.8

40.8

27.7

26.5

Y

Y

0

0

0

0

0

24-HOUR 

98TH

PERCENTILE

VALUE

31.0

28.7

33.6

24.2

23.6

115

117

114

118

119

1ST

MAX

2ND

MAX

3RD

MAX

31.8

30.8

36.6

25.7

25.6

31.0

28.7

33.6

24.2

23.6

30.8

28.5

33.3

23.3

22.4

14.40 

13.44 

13.98 

11.92 

11.70 

WTD

ARITH

MEAN
Sep. 8, 2010

Note: The * indicates that the mean does

not satisfy summary criteria.

UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM

QUICK LOOK REPORT (AMP450)

Page 6 of 7

88101

88101

88101

88101

88101

88101

000

118

119

120

142

145

MULTIPLE METHODS

R & P Model 2025 PM2.5 Sequential w/WINS

Andersen RAAS2.5-100 PM2.5 SAM w/WINS

Andersen RAAS2.5-300 PM2.5 SEQ w/WINS

BGI Models PQ200-VSCC or PQ200A-VSCC

R & P Model 2025 PM-2.5 Sequential Air Sampler

MULTIPLE METHODS

GRAVIMETRIC

GRAVIMETRIC

GRAVIMETRIC

Gravimetric

Gravimetric

PARAMETER

METHOD

CODE COLLECTION METHOD ANALYSIS METHOD

METHODS USED IN THIS REPORT
Sep. 8, 2010

Note: The * indicates that the mean does

not satisfy summary criteria.

UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM

QUICK LOOK REPORT (AMP450)

Page 7 of 7

PQAOS USED IN THIS REPORT

PQAO AGENCY DESCRIPTION

0584

1259

Kentucky Division For Air Quality

Hamilton County Department Of Environmental Services
APPENDIX B

Ohio 2005 SIP Base Year Inventory Discussion
1

OHIO 

2005 Base Year PM2.5 SIP Inventory 

Ohio Environmental Protection Agency 

Lazarus Government Center 

50 West Town Street, Suite 700 

Columbus Ohio 43215 

Prepared by Ohio EPA 

Division of Air Pollution Control 

Emissions Inventory Unit 

February 2008 
2

Table of Contents 

Section Page

 Introduction ................................................................................................. 3 

1.0 Point Sources ............................................................................................. 4 

 

2.0 Area Sources .............................................................................................. 8 

3.0 Non Road Sources........................................................................15 

4.0 On Road Sources........................................................................................17 

5.0 MAR Sources..............................................................................43 

 

Table 

2-1 Categories included in the 2005 area source Inventory.............................8

2-2 Emission Factors used for Wood Burners included in area sources............11 

3-1 NMIM NCD Tables for Specific Years and States ........................................... 16

4-1 Federal Functional Class Categories............................................................23 

4-2 DVMT Summary by County.................................................................. .24 

4-3 Speed by Federal Functional Class .............................................................28

4-4 Link Group Codes & Associated BPR Curves .......................................... 29 

4-5 Mobile6 Inputs.................................................................................31 

4-6 LADCO Data Output............................................. .............39

4-7 County Summary Table of MPOs by County......................................... .40 

5-1 Number of operations and LTOs for 2005.............................................. 45 

5-2 EDMS Aircraft Emissions ..................................................................50 

5-3 Fleet Emission Factor Categories ........................................................51 

5-4 Pollutant by County (Sample) ............................................................. 54 

. 

Figure

1........................................ Speed Comparison Graphs.....................................27 
3

2005 Base Year PM2.5 SIP Inventory for Ohio 

Introduction 

The State of Ohio has a number of counties with air quality data showing nonattainment for the following PM2.5 standard: 

• Annual Standard = 15.0 ug/m3 

The Clean Air Act Amendments (CAAA) requires all states to revise and submit State 

Implementation Plans (SIP) for areas which are classified as non-attainment of the 1997 

Fine Particle (PM2.5) National Ambient Air Quality Standards (NAAQS). The Federal 

Register ( Vol. 72, No. 79/ Wednesday, April 25, 2007) provides the emissions inventory 

rules and regulations for the PM2.5 Clean Air Fine Particle implementation rule. An 

electronic version of the document can be found at http://www.epa.gov/fedrgstr/EPAAIR/2007/April/Day-25/a6347.pdf. 

As part of the designation of non-attainment areas for PM2.5 standards, a new 

attainment demonstration SIP will be necessary. A key element in the overall SIP 

planning process is the need for an updated emissions inventory. This document 

presents the 2005 Base Year Particulate SIP Emissions Inventory for Ohio as required 

by the CAAA. It includes emissions for point, area, on-road mobile and non-road mobile 

for the State of Ohio. 

This technical report documents the procedures and the methodologies that were used 

in the development of daily emissions for all counties in Ohio. This report describes the 

following: 

1. Identification of stationary and mobile sources included in the 

inventory; 

2. Sources of data, and data collection methods used in the development 

of the inventory; 

3. Methods and procedures used to estimate emissions; and 

4. Assumptions considered in the development of the emissions 

inventories. 

The intent of this report is to describe how the inventory was prepared, and what 

information was considered in the inventory development. 

This document is comprised of 5 sections, one section for each inventory type. The 

biogenic inventory is not being discussed in this document because Ohio EPA did not 

participate in the generation of this inventory. Lake Michigan Air Directors Consortium 

(LADCO) ran EPA’s BEIS model in the Emission Modeling System (EMS) to generate 

Summer Weekday emissions for VOC and NOx. 
4

SECTION 1

POINT SOURCES 

Emissions and source specific data for point sources are collected for the 2005 baseyear SIP inventory by the Ohio Environmental Protection Agency (Ohio EPA.) The 

primary source of data for point sources is facility reported STARShip files. STARShip 

is a software package developed by Ohio EPA, Division of Air Pollution Control (DAPC), 

to assist the regulated community in preparing and submitting a variety of electronic 

permit applications and reports to the DAPC. These data are reported by the Title V 

facilities annually as part of the emissions fee/inventory process conducted by Ohio 

EPA and include emissions, process rates, operating schedules, emissions control data 

and other relevant information. 

The STARShip files are electronically transferred to the DAPC and stored into the 

Division’s Oracle database, STARS. The files are reviewed by the local air agencies 

and Ohio EPA district and central office staff. After review, the data are imported into 

Excel and linked with an Access® database to further process the information into the 

federally approved National Emission Inventory (NEI) database format in version 3.0. 

The files are quality assured again using the United States Environmental Protection 

Agency’s (U.S.EPA) QA/QC software for format and content. The data is finally 

submitted to LADCO for emissions processing through the Emissions Modeling System. 

The State provided inventory for Electric Generating Units (EGU) is replaced with the 

Federal EGU inventory. The EGU inventory is compiled by U.S. EPA’s Acid Rain 

Program. It is based on facility reported emissions as measured by continuous 

emissions monitors. In conclusion, the final point source inventory is a hybrid of the 

federal EGU inventory and the state provided non-EGU units. 

A major distinction typically made in emissions inventories is that between point and 

area sources. In this inventory, point sources are sources for which individual records 

are maintained for that source. Such records are maintained for all Ohio Title V facilities 

(706 facilities statewide). The area source inventory accounts for facilities from nonTitle V facilities and calculates emissions information using surrogate emissions factors 

based on energy usage, population, employment records, or other reliable data. A 

more detailed discussion of the area source inventory is provided in Section 2. The 

point source inventory described herein is considered to be the most current and 

accurate source of emissions data available for 2005. 

1.1 Point Source Process Emissions 

Ohio EPA defines point source process emissions as those which occur at an 

identifiable Title V stationary stack or vent. Point source emissions not emitted from 

discrete stacks or vents are termed fugitive emissions and are discussed in Section 1.2. 
5

1.1.1 Source Identification and Data Collection 

The sources to be included in the 2005 base year inventory are identified using the Title 

V STARS database. Facility production and emissions data are included in this 

database. This information is facility-reported actual 2005 emissions. 

1.1.2 Non-reactive VOC Emissions Adjustments 

This section is primarily applicable for VOC pollutants. Sources are required to identify 

emissions of photochemically non-reactive Volatile Organic Compounds (VOC.) Based 

upon this information, those emissions have been specifically excluded from the 2005 

base line inventory in accordance with U.S. EPA’s “Recommended Policy on the 

Control of Volatile Organic Compounds.” A complete list of the compounds that U.S. 

EPA has identified as being photochemically non-reactive, and therefore not included in 

the inventory, are listed below: 

• Methane 

• Ethane 

• Methylene chloride 

• Methyl chloroform 

• Trichlorofluoromethane (CFC-11) 

• Dichlorodifluoromethane (CFC-12) 

• Chlorodifluoromethane (CFC-22) 

• Trifluoromethane (HFC-23) 

• Chlorofluoromethance (HCFC-31) 

• Difluoromethane (HFC-32) 

• Decafluoropentane (HFC-43-10mee) 

• Ethylfluoride (HFC-161) 

• Trichlorotrifluoroethane (CFC-113) 

• Dichlorotetrafluoroethane (CFC-114) 

• Chloropentafluoroethane (CFC-115) 

• 2,2-Dichloro-1,1,1-trifluoroethane (HCFC-123) 

• 1,1,2-Trifluoroethane (HCFC-123a) 

• 2-Chloro-1,1,1,2-tetrafluoroethane (HCFC-124) 

• Pentafluoroethane (HFC-125) 

• 1,1,2,2,-Tetrafluoroethane (HFC-134) 

• 1,1,1,2-Tetrafluoroethane (HFC-134a) 

• 1,1-Dichloro-1-fluoroethane (HCFC-141b) 

• 1-Chloro-1,1,-difluoroethane (HCFC-142b) 

• 1,1,1-Trifluoroethane (HFC-143a) 

• Fluoroethane (HCFC-151a) 

• 1,1-Difluoroethane (HFC-152a) 

• Pentafluoropropane (HFC-225ca) 

• Pentafluoropropane (HFC-225cb) 

• Hexafluoropropane (HFC-236ea) 

• Hexafluoropropane (HFC-236fa) 

• Pentafluoropropane (HFC-245ca) 

• Pentafluoropropane (HFC-245ea) 

• Pentafluoropropane (HFC-245eb) 
6

• Pentafluoropropane (HFC-245fa) 

• Pentafluorobutane (HFC-365mfc) 

• Parachlorobenzotrifluoride (PCBTF) 

• Methoxybutane 

• Nonaflourobutane 

• Heptafluoropropane ((CF3)2CFCF2OCH3) 

• Heptafluoropropane ((CF3)CFCF2OC2H5) 

• Perchloroethylene 

• Cyclic, branched or linear completely methylated siloxanes 

• Methyl acetate 

• Volatile methyl siloxanes 

• Acetone 

1.1.3 Emissions Estimation Methodologies 

Since source reported actual annual emissions are used in the 2005 base year 

inventory, no estimation methods are necessary. The reports are provided to LADCO in 

National Emissions Inventory Input Format (NIF) 3.0 format. LADCO imported and 

processed the NIF files in EMS and applied temporal and spatial profiles to the annual 

emissions to calculate weekday emissions rates. The final point source inventory is 

split into two separate reports, the Electric Generating Units (EGU) which is the U.S. 

EPA inventory for electric generating units and the non-EGU which is the state inventory 

minus the EGU units. 

1.2 Point Source Fugitive Emissions 

Another type of emissions data which is required to be filed from point sources is 

fugitive emissions. Before 1990, fugitive emissions were categorized as area sources 

due to the lack of detailed information available for fugitive sources. However, since 

these emissions are now electronically reported in the State’s ORACLE database, 

STARS, these emissions can be classified as point sources. 

1.3 References 

Getting Started: Emissions Inventory Methods for PM2.5 U.S. Environmental Protection 

Agency, Research Triangle Park, NC, September, 1999. 

Emissions Inventory Guidance for Implementation of Ozone and Particulate Matter 

National Ambient Air Qaulity Standards (NAAQS) and Regional Haze Regulations, 

Office of Air Quality Planning & Standards Research, Triangle Park, NC. November 

2005. 

Compilation of Air Pollution Emission Factors, Fourth Edition and Supplements, AP-42. 

U.S. Environmental Protection Agency, Research Triangle Park, NC, September 1985. 
7

Preparing 2002 Regional PM2.5 Emissions QAQPS PM Inventory Conference Inventory 

Conference San Diego, 2003. 

Documentation for the 2002 Electric Generating Unit National Emissions Inventory 

(NEI). Eastern research group, Inc., 1600 Perimeter Park Drive, Morrisville, NC 27560 

and E.H. Pechan and Associates, Inc., 5528–B Hempstead Way 
8

SECTION 2 

AREA SOURCES 

Area sources are sources which are typically small, individual, numerous, and have not 

been inventoried as specific point, mobile, or biogenic sources. For inventory purposes, 

they are grouped with other like sources into categories that allow emissions to be 

calculated collectively using one methodology. Since area sources are traditionally 

defined at the county level, most methods are designed to estimate area source 

emissions at the county level. 

Ohio EPA has either used published Emission Inventory Improvement Program (EIIP)6

methodologies or selected other methodologies which are shared by other states. The 

decision of which methodology to use was largely based on Ohio’s data availability. 

Data which was not available on a county-level is estimated by assigning a percentage 

of the state’s total activity to each county based on the state’s population or employment 

information. If Ohio county specific activity data is available through Ohio EPA or other 

State Agencies, that data is used rather than allocating activity by percentage. Table 2-1 

lists the sources which emit PM2.5, NOx and SO2 along with the respective EFs used to 

calculate each pollutant. 

Table 2-1 Categories in the 2005 PM2.5 SIP Area Source inventory 

Area Source NOx PM2.5 SO2 Section 

Commercial Natural 

Gas Combustion 94 lb/MMSCF 7.6 lb/MMSCF 0.6 lb/MMSCF 2.1 

Industrial Distillate Oil 

Combustion 20 lb/E3gal fuel 0.25 lb/E3gal fuel 42.6 lb/E3gal fuel 2.2 

Industrial Residual Oil 

Combustion 55 lb/E3gal fuel 4.67 lb/E3gal fuel 157 lb/E3gal fuel 2.2 

Industrial Natural Gas 

Combustion 94 lb/MMSCF 7.6 lb/MMSCF 0.6 lb/MMSCF 2.2 

Residential Coal 

Combustion 9.1 Lb/Ton Coal 3.8 Lb/Ton Coal 31 Lb/Ton Coal 2.3 

Residential Distillate 

Oil Combustion 18 lb/E3gal fuel 0.83 lb/E3gal fuel 42.6 lb/E3gal fuel 2.3 

Residential Natural 

Gas Combustion 94 lb/MMSCF 7.6 lb/MMSCF 0.6 lb/MMSCF 2.3 

Residential LPG 

Combustion 13 lb/E3gal fuel 0.17 lb/E3gal fuel 0.1 lb/E3gal fuel 2.3 

Human Cremation 1.01E+01 lb/Ton 

cremated 

0.0637 lb/Ton 

cremated NA 2.4 

Structure Fires 1.4 Lb/Ton 

burned 

10.8 Lb/Ton 

burned NA 2.5 

Outdoor Wood Boilers 2.8 Lb/Ton 2.76E+1 Lb/Ton 4 E-1 Lb/Ton 2.6 
9

Residential Wood 

Combustion 

Non-Certified 

Non-Catalytic 

Catalytic 

2.80E+00 lb/Ton 

2.80E+00 lb/Ton 

2.00E+00 lb/Ton

3.06E+01 lb/Ton 

1.96E+01 lb/Ton 

2.04E+01 lb/Ton 

4.00E-01 lb/Ton 

4.00E-01 lb/Ton 

4.00E-01 lb/Ton 

2.3 

2.1 Commercial Natural Gas Combustion (SCC 2103006000)

The 2005 total state-level commercial sector energy consumption is obtained from the 

Energy Information Administration (EIA)’s State Energy Data System (SEDS), and 

apportioned per county based on population4

. Emissions factors are given in table 2-1. 

The area source emissions are calculated based on an adjusted value by subtracting 

the emissions due to point sources. 

2.2 Industrial Fuel Combustion 

Industrial Distillate Oil Combustion (SCC 2102004000) 

Ohio’s fuel consumption is apportioned per county based on the county’s population4

. 

The area source NOX emissions are calculated and adjusted by subtracting the 

emissions due to point sources. A heating value of 140 MMBTU/1000 Gal is used and 

84,408 thousand gallons are consumed in 2005. [MMBTU stand for Million British 

Thermal Units]. Emissions factors are given in table 2-1. 

SO2 emissions were calculated using EF 42.6 Lb/1000 Gal. PM10 and PM2.5 emissions

are calculated using 1Lb/1000 Gal and 0.25 Lb/1000 Gal respectively. All Factors are 

obtained from AP-4219 

Industrial Residual Oil Combustion (SCC 2102005000) 

Ohio’s fuel consumption is apportioned per county based on the county’s population4

. 

The area source NOX emissions are calculated and adjusted by subtracting the 

emissions due to point sources. 54,652 thousand gallons14 are consumed in 2005 and 

a heating value of 140 MMBTU/1000 Gal is used. The SO2 emissions are calculated 

using EF 157 Lb/1000 Gal. PM10 and PM2.5 emissions are calculated using 7.17 Lb/1000 

Gal and 4.67 Lb/1000 Gal respectively. All factors are obtained from AP-4219 

Industrial Natural Gas Combustion (SCC 2102006000) 

Ohio’s fuel consumption is apportioned per county based on the county’s population4

. 

The area source NOX emissions are calculated and adjusted by subtracting the 

emissions due to point sources. 293,857 MMCF14 are consumed in 2005. The SO2
10

emissions are calculated using EF 0.6 Lb/MMBTU. The PM10 and PM2.5 emissions are 

calculated using 7.6 Lb/MMBTU. All factors were obtained from AP-4219 

2.3 Residential Fuel Combustion 

Residential Coal Combustion (SCC 2104001000) 

Ohio’s household consumption of coal is apportioned per county based on county 

population4

. NOX emissions are calculated using EF of 9.1 of coal. The SO2 emissions 

are calculated using EF 31Lb/1000 Gal. The PM10 and PM2.5 emissions are calculated 

using 6.2Lb/Ton and 3.8 Lb/Ton respectively. All factors were obtained from AP-4219 

Residential Distillate Oil Combustion (SCC 2104004000) 

Ohio’s household consumption of distillate oil is apportioned per county based on 

county population4. NOX emissions are calculated using EF of 18 lb/1000 gallons 

distillate fuel respectively. A heating value of 140 MMBTU/1000 Gal is used. The SO2

emissions are calculated using EF 42.6 Lb/1000 Gal. The PM10 and PM2.5 emissions

are calculated using 1.08Lb/1000 Gal and 0.83 Lb/1000 Gal respectively. All factors are 

obtained from AP-4219 

Residential Liquid Petroleum Gas Combustion (LPG) 

(SCC 2104007000) 

Ohio’s household consumption of LPG is apportioned per county based on county 

population4. NOX emissions are calculated using EF of 13 lb/1000 gallons LPG. The 

SO2 emissions are calculated using EF 0.1 Lb/1000 Gal. The PM10 and PM2.5 emissions

are calculated using 0.17Lb/1000 Gal. All factors are obtained from AP-4219 

Residential Natural Gas Combustion (SCC 2104006010) 

Ohio’s household consumption of LPG is apportioned per county based on county 

population4

. NOX emissions are calculated using EF of 94 lb/MMSCF. MMSCF stands 

for Million Standard Cubic Feet. This source also emits SO2 emissions which are 

calculated using EF 0.6 Lb/MMBTU. The PM10 and PM2.5 emissions are calculated 

using 7.6Lb/MMBTU. All factors are obtained from AP-4219 

Residential Wood Combustion 

NOX emissions from this area source are calculated for seven types of residential 

heating units that utilize wood for fuel. They are listed below with the appropriate SCC: 

Fireplaces without inserts 2104008001 

Fireplaces with inserts catalytic (non-U.S. EPA cert) 2104008002 

Fireplaces with inserts non -catalytic 2104008003 

Fireplaces with inserts catalytic (U.S. EPA cert) 2104008004 

Wood stoves – Conventional 2104008010 

Woodstoves – Catalytic 2104008030 

Wood stoves – Non catalytic 2104008050 
11

The number of Ohio homes with fireplaces are adjusted for those that burn wood. The 

following assumptions are applied to those adjusted homes: 

92 percent of wood combusted in non-certified units 

5.7 percent of wood combusted in non-catalytic units 

2.3 percent of wood combusted in catalytic units 

A state consumption value is applied which is apportioned to each county based on its 

population4

. Table 2-2 shows the EF used for each of the seven types of indoor wood 

burners which make-up this category: 

Table 2-2 Emission Factors Used for Wood Burners 

SCC 2104008002 2104008003 2104008004 

SCC 2104008010 2104008050 2104008030 

SCC 2104008001 

RAPIDS Code Non-Certified Non-Catalytic Catalytic Units 

SO2 4.00E-01 4.00E-01 4.00E-01 Lb/ton 

NOX 2.80E+00 2.80E+00 2.00E+00 Lb/ton 

PM2.5 3.06E+01 1.96E+01 2.04E+01 Lb/ton

To avoid double counting of wood consumption for fuel, this category is adjusted by 

subtracting the wood consumption from OWB to allow this category to account only for 

indoor wood burning emissions. 

Residential Wood combustion also emits SO2 which is calculated using EF 0.4 Lb/Ton 

EF. The PM2.5 emissions are calculated using EF as shown in table 2-2. All factors are 

obtained from AP-4219 

2.4 Human Cremation (SCC 2810060200) 

 

Not all Ohio counties possess a crematory so only those counties with crematories are 

used to calculate the number of cremations and their resulting NOx emissions. The 

2005 cremation data is obtained from the Ohio Department of Health, Vital Statistics17. 

It is estimated that 3% of deaths occur outside the State of Ohio with no available data 

to account for their disposition at the time this area source is being calculated. 

Therefore, those deaths are not accounted for in this category. 

The methodology does not offer an EF for NOx for this category nor is NOx required to 

be calculated for this area source. Ohio feels that it is a combustion source and NOx 

needs to be included in the inventory along with the other combustion sources. 

Through its Permits-to-Install for human cremation, Ohio has selected a NOx EF of 

10.13lb/ton cremated to calculate emissions from this area source. 
12

This source also emits PM, PM10, and PM2.5 emissions which are calculated using EF 

0.1 Lb/Ton, 0.071Lb/Ton and, 0.0637 Lb/Ton respectively. All factors are obtained from 

AP-4219

2.5 Structure Fires (SCC 2810030000) 

The Structure Fires category includes residential and commercial fires resulting from 

unintentional actions. Intentional fires, forest and wildfires, agricultural, and vehicle 

burning are not included in this area source. The State Fire Marshall Office, Fire 

Prevention Bureau15 provided data on the number of structure fires per county in 2005. 

This area source is considered a combustion source for NOX emissions which are 

calculated using EF 1.4 lb/ton burned. The residential and commercial structures fires 

for each county are tabulated and a fuel loading of 1.15 Ton/fire is applied. This source 

also emits PM, PM10, and PM2.5 emissions which are calculated using EF 10.8 Lb/Ton. 

This factor was obtained from AP-4219 

2.6 Outdoor Wood Boilers (SCC 2104008070) 

Outdoor Wood Boilers (OWB), are also known as outdoor water stoves and outdoor 

wood furnaces, are used as outdoor residential heaters. These boilers have wood 

burning fireboxes surrounded by a water reservoir vented by a chimney stack. The 

combustion of the wood in the firebox heats the water in the surrounding reservoir and 

the heated water is pumped to the residence. OWB units can also supply residential 

hot water. The water capacity ranges from 60 gallons to 764 gallons. The operational 

design creates long periods where the fire smolders and creosote is formed13. 

When the water circulating through the furnace reaches an upper set point, the air 

supply to the fire is cut-off, cooling the fire so the water will not overheat. The furnace 

operates in this "idle" mode until the water temperature hits a lower set point and the air 

supply is re-established. The OWB may be in idle mode far longer than in operating 

mode. This type of operating causes very poor combustion and heavy foul smoke. Most 

of the smoke emitted is fine condensed organic material that does not burn under cool, 

oxygen starved conditions. In addition, many owners burn green wood full of moisture 

which also causes poor combustion12. The smoke created from these outdoor wood 

burning units can contain several pollutants that are harmful to breathe, including fine 

particle pollution such as PM 2.5

11 in addition to NOx (research assisted by Deborah 

Lucas, DAPC intern, 2007) 

This new area source category has many unknowns and variables associated with it 

and Ohio does not possess accurate OWB unit sales data available to calculate 

emissions on the county level. Therefore, several assumptions are made in agreement 

with the Great Lake States in order to formulate a homogeneous inventory for the 

region. 
13

The assumptions are as follows: 

• 100% of wood combusted in non-certified units. 

• OWB units to be 90% in rural counties and 10% in urban counties 

• 11.68 cords of wood consumption per unit per year (includes heating efficiency of 

30-40%) 

• 5 months heating season = 3650 hours (24/7) 

• PM2.5 emissions factor (g/kg wood) =13.82 (Average of indoor and outdoor) or 

27.64 lb/ton of wood 

The agreed upon methodology requires that total number of OWB sold in Ohio be 

apportioned to each county based on rural or urban designation while observing the 9:1 

ratio in area sales. The guesstimated factors (see above) are applied to calculate the 

emissions from this outdoor wood burner. Total emissions obtained from this category 

are subtracted from the Residential Wood Combustion category to allow for accurate 

emissions from the indoor wood burning units. 

 

2.7 References 

1. Documentation For the 2002 Non-Point Source National Emission Inventory For 

CAPS and HAPS. U.S. Environmental Protection Agency. Emissions Factor and 

inventory Group. E.H Pechan and Associates, Inc. January 2004. 

2. United States Census Bureau. Population Division.

http://eire.census.gov/popest/data/counties/tables/CO-EST2002/CO-EST2002-01-

39.php (Accessed 2003) 

3. United States Census Bureau. County Business Patterns. 

http://censtats.census.gov/cbpnaic/cbpnaic.shtml

(Accessed 2003) 

4. Ohio Department of Development, Office of Strategic Research. Population Projects 

by Age and Sex: 2005-2030. http://www.odod.ohio.gov/research/files/p200.htm

(Accessed August 2006) 

5. Environmental Protection Agency (EPA). 1999 Base Year Non-point Source National 

Emission Inventory for Hazardous Air Pollutants, Research Triangle Park, NC. 

September 28, 2001. 

6. Environmental Protection Agency (EPA). STAPPA-ALAPCO-EPA Emission 

Inventory Improvement Program (EIIP). Volume III - Area Sources Preferred and 

Alternative Methods. November 1996. 

7. Documentation for the Draft 1999 National Emissions Inventory (Version 3.0) for 

Criteria Air Pollutants and Ammonia. Area Sources. E. H. Pechan & Associates, Inc. 

March 3, 2003 
14

8. U.S. Environmental Protection Agency, STAPPA-ALAPCO-EPA Emission Inventory 

Improvement Program (EIIP), Volume III - Area Sources Preferred and Alternative 

Methods, Chapter 8. September 1997. 

9. Spreadsheet formulation provided by “Buzz” David Asselmeier, Air Quality Planning 

Section, Inventory Group, Springfield, Illinois. 

10. Environmental Protection Agency (EPA). STAPPA-ALAPCO-EPA Emission 

Inventory Improvement Program (EIIP). Volume III - Area Sources Preferred and 

Alternative Methods. May 1997. 

11. (Environmental Chemistry.com) viewed on Feb 8th, 2007. 

[http://environmentalchemistry.com/yogi/environmental/200602outdoorwoodfurnaces.ht

ml] 

12. (Washington State, Department of Ecology) viewed on Feb 8th, 2007 

[http://www.ecy.wa.gov/programs/air/AOP_Permits/Boiler/Outdoor_Boilers_home.html]

13. U.S. Environmental Protection Agency. Reducing Pollution from Outdoor WoodFired Hydronic Heaters. Fact Sheet

http://www.epa.gov/owhh/pdfs/fact_sheet_1_29_07.pdf (Accessed 1/2007) 

14. Industrial Sector Energy Price and Expenditure Estimates, 1970-2001, Ohio. 

Energy Information Administration. U. S. Department of Energy. 

http://www.eia.doe.gov/emeu/states/sep_prices/ind/pr_ind_oh.html

http://www.eia.doe.gov/emeu/aer/pdf/pages/sec1_27.pdf (Accessed 2003) 

15. State Fire Marshal Office. Fire Prevention Bureau, Columbus, Ohio. 

http://www.com.state.oh.us/odoc/sfm/firecont.htm (Accessed 2003) 

16. Documentation for the Draft 1999 National Emissions Inventory (Version 3.0) For 

Criteria Air Pollutants and Ammonia. Area Sources. E. H. Pechan & Associates, Inc. 

March 3, 2003 

17. Ohio Department of Health, Vital Statistics 

18. Environmental Protection Agency. STAPPA-ALAPCO-EPA Emission Inventory 

Improvement Program (EIIP). Volume X – Emissions Projections. December 1999. 

http://www.epa.gov/ttn/chief/eiip/techreport/volume10/x01.pdf

(Accessed 2/2007) 

19. Environmental Protection Agency. AP-42. http://www.epa.gov/ttn/chief/ap42/ 
15

SECTION 3

NON-ROAD SOURCES 

The non-road inventory is generated regionally by running U.S. EPA’s National Mobile 

Inventory Model (NMIM) model. The Wisconsin Department of Natural Resources 

undertook the responsibility of customizing the NMIM input files and submitting the 

output file in NIF format to LADCO and U.S. EPA. LADCO processed the NMIM files in 

their emissions model and generated daily emissions rates. Grant Heatherington from 

the Wisconsin Department of Natural Resources provided the following descriptions... 

The National Mobile Inventory Model (NMIM) developed by USEPA was used to 

estimate emissions for all other non-road mobile categories. NMIM consolidates nonroad mobile emissions and on-road emissions modeling into a single modeling system. 

Only the non-road emissions modeling portion of NMIM was used in the development of 

this emission’s inventory. NMIM uses the USEPA’s NONROAD model to calculate nonroad mobile emissions. The basic NONROAD algorithm for calculating emissions uses 

base year equipment populations, average load factors, available engine powers, 

activity hours and emission factors. Before NMIM was run, modifications and additions 

were made to the NMIM input data. 

a. Added emission factors for diesel tampers/rammers provided by E.H. 

Pechan & Associates, Inc. Diesel tampers/rammers are a type of 

construction equipment. 

b. Revised PM2.5 ratios in SCC table to correctly calculate PM2.5 diesel 

emissions. This error was introduced with NMIM2005 and didn’t exist in 

NMIM2004. 

c. Revised gasoline parameters using updates provided by the states and 

E.H. Pechan & Associates, Inc. Gasoline parameters include Reid Vapor 

Pressure (RVP), oxygenate content and sulfur content. 

The NMIM NEI NIF files are on the LADCO ftp site at: 

ftp://ftp.airtoxics.org/inv2005/nonroad/NMIM/Base_L_ph2/2005/

Revised NMIM2005 Input Data 

Emission Factor Data 

All States: Pechan revised the brake specific fuel consumption (BSFC) emission factor data to 

include diesel tampers/rammers (2270002006). The revised NMIM file is saved as 

revBSFC.EMF. 
16

Population Data 

For 26000.pop, replaced default file supplied with NMIM2005 with 26000_rev_NMIM05.pop that 

contains revised construction data missing from 26000.pop external file provided with 

NMIM2005. This Michigan construction data should have been added with the other LADCO 

states modified construction data but was overlooked. 

SCC Data 

The default SCC table of NCD20060201 is replaced by a version that contains corrections to the 

PM25fac field that earlier NCDs contained (i.e. changed from 0.92 to 0.97 for diesel non-road 

equipment) in NONROAD2004. 

Fuel Data 

LADCO States: Pechan revised four tables (countyyear, countyyearmonth, datasource and 

gasoline) in the National County Database (NCD) used by NMIM to incorporate new fuel data. 

AIR revised gasoline characteristics per instructions from the states. Also, gasoline 

characteristic revisions for 2005 provided by states were incorporated. Additional revisions 

were incorporated into 2002 data for non-road Stage 2 controls. Depending on the year being 

modeled, different versions of the revised tables are used. Also, the countynrfile, countyyear 

and datasource tables were revised to reference the new activity, allocation, growth, population 

and seasonality files described above. NCD tables with names ending in “def” are default 

versions of the table. See table below for the appropriate versions of the tables for the selected 

years. 

Non-LADCO States: The countynrfile, countyyear and datasource tables were revised to 

reference the new activity, allocation and seasonality files described above. See table below for 

the appropriate versions of the tables for the selected years. 

Table 3-1 NMIM National County Database Tables for Specific Years and States 

States 

Years 

1999 (WI only) 2002, 05, 07, 08, 09, 12 and 18 

LADCO states countynrfile_NMIM05_rev, 

countyyear_NMIM05_rev, 

countyyearmonth_NMIM05_w

_05_12_18_rev, 

datasource_NMIM05_rev, 

gasoline_NMIM05_def 

SCC_NCD20060201_rev 

(used when NCD20060201 is 

used) 

countynrfile_NMIM05_rev, 

countyyear_NMIM05_rev , 

countyyearmonth_NMIM05_w_05_12_18_rev, 

datasource_NMIM05_rev, 

gasoline_NMIM05_w_05_12_18_rev 

SCC_NCD20060201_rev (used when 

NCD20060201 is used)
17

SECTION 4

ON-ROAD SOURCES 

A mobile source of air pollution is a self-propelled or portable emitter of air pollutants, 

and mobile source emissions are those generated by the engines or motors that power 

such sources. Most mobile sources, except jet or turboprop aircraft, are powered by 

internal combustion (IC) piston engines, and nearly all use liquid fuels. 

Gaseous fuels, such as compressed natural gas (CNG) or liquefied petroleum gas 

(LPG), had only a very small fraction of the motor fuel market in Ohio in 2005. Solid 

fuels have not been used by mobile sources in significant amounts since railroads 

retired their coal-powered steam locomotives in the 1950s. 

4.1 Categories of Mobile Sources 

For inventory and planning purposes, mobile sources are divided into two major 

categories. 

1. On-highway mobile sources (usually referred to as on-road), e.g., motor 

vehicles such as cars, vans, trucks, buses and motorcycles used for 

transportation of goods and passengers on roads and streets 

2. Off-highway (usually referred to as non-road) mobile sources including: 

• Modes of powered transportation that do not use roads, such as aircraft, 

trains, ships and boats, and motor vehicles used off-road. 

• Self-propelled or portable motorized machines or equipment not used for 

transportation, ranging from construction equipment and farm tractors to 

lawnmowers and hand-held power weed choppers. 

Mobile Sources: All on-road mobile sources are self-propelled. 

Non-road Mobile Sources: Some non-road mobile sources (e.g., farm tractors), are 

self-propelled, but many non-road sources are not. A gasoline-powered chain saw is a 

familiar example of a non-self-propelled non-road mobile source. 

Stationary Sources: Not all movable or portable emission sources are mobile sources, 

however. A small truck-portable cement or hot-mix asphalt plant, for example, may be 

set up near a construction or road-building site. Such plants are classified as stationary 

sources, not mobile sources for two reasons: (1) they may operate for weeks or months 

at a single location, and (2) the trucks that move the plants do not supply power for 

them. 
18

NOTE: Not all Internal Combustion engines (IC) or turbine engines are mobile sources. 

Fixed IC engines, such as those that power pipeline compressors or standby generators 

in electricity plants and elsewhere, are also classified as stationary sources. 

4.1.1 Categories and Components of Mobile Source Emissions 

There are three categories of mobile source emissions: 

• Exhaust or tailpipe emissions, which result from the combustion of fuel in the 

source’s engine 

• Evaporative emissions, which result from evaporation of fuel from the engine or 

its fuel system 

• Refueling emissions 

Exhaust Emissions: Are the result of fuel combustion and occur only when the engine 

is running. 

Evaporative emissions: Are Volatile Organic Compound (VOC) based only and are 

continuously emitted from an engine’s fuel system, whether the engine is running or not. 

Gasoline is a very volatile fuel, so total VOC emissions from gasoline powered vehicles 

have a large evaporative component. Diesel and jet fuels are of very low volatility, so 

evaporative emissions from diesel and turbine engines are a much smaller part of their 

total VOC emissions. Evaporative emissions for CNG or LPG powered vehicles are 

negligible because their fuel tanks and systems are of necessity, sealed. 

Evaporative and exhaust VOC emissions can be calculated separately for most mobile 

source categories. Evaporative emissions do not include VOC emissions that occur 

during refueling. 

Refueling Emissions: These emissions are the third category of mobile source 

emissions. Refueling emissions are entirely VOC. Although they result from the 

evaporation of fuel, they are distinct from, and not directly related to, evaporative 

emissions as defined above. 

Refueling emissions have two subcomponents: 

• Displacement emissions. These occur when new fuel is transferred into a partly 

filled tank--be it a service station storage tank, a portable fuel container (gas 

can), or a vehicle or engine’s fuel tank; displacing the air in the tank and forcing 

that vapor-rich air out the inlet pipe or other vent. There are two stages of 

displacement emissions: 

o “Stage I” emissions occur when the underground storage tanks at a 

service station are being refilled; 
19

o “Stage II” emissions occur when a motor vehicle (or gas can) is being 

refueled. 

NOTE: These emissions are covered in, “Area Sources,” section 3.6. 

• Spill emissions. These occur when drops of fuel drip or splash on the ground 

during or after refueling and evaporate away. 

4.2 Ohio On-Road Mobile Source Inventory 

The inventory of on-road mobile source emissions was developed in conjunction with 

the Ohio Department of Transportation (ODOT), Lake Michigan Air Director’s 

Consortium (LADCO), United States Environmental Protection Agency (USEPA), and 

the Ohio EPA (OEPA). Estimates of the amounts of NOx and VOC are reported by 

county in tons per day. Emissions are reported for a typical ozone season weekday in 

the summer of 2005. 

4.2.1 Emission Inventories Developed with MOBILE6 Model 

MOBILE6 Overview: 

MOBILE6 is a computer program that estimates hydrocarbon (HC), carbon monoxide 

(CO), oxides of nitrogen (NOx), exhaust particulate matter (which consists of several 

components), tire wear particulate matter, brake wear particulate matter, sulfur dioxide 

(SO2), ammonia (NH3), six hazardous air pollutant (HAP), and carbon dioxide (CO2) 

emission factors for gasoline-fueled and diesel highway motor vehicles, and for certain 

specialized vehicles such as natural-gas-fueled or electric vehicles that may replace 

them. The program uses the calculation procedures presented in technical reports 

posted on EPA's MOBILE6 Web page http://www.epa.gov/otaq/models.htm. 

MOBILE6 emission factor estimates depend on various conditions, such as ambient 

temperatures, travel speeds, operating modes, fuel volatility, and mileage accrual rates. 

Many of the variables affecting vehicle emissions can be specified by the user. 

MOBILE6 will estimate emission factors for any calendar year between 1952 and 2050, 

inclusive. Vehicles from the 25 most recent model years are considered to be in 

operation in each calendar year. 

4.2.2 MOBILE6 Defaults: 

MOBILE6 includes default values for a wide range of conditions that affect emissions. 

These defaults are designed to represent “national average” input data values. Users 

who desire a more precise estimate of local emissions can substitute information that 

more specifically reflects local conditions. Use of local input data will be particularly 

common when the local emission inventory is to be constructed from separate 
20

estimates of roadways, geographic areas, or times of day, in which fleet or traffic 

conditions vary considerably. 

A list of MOBILE6 input parameters is provided below. Most of these inputs are optional 

because the model will supply default values unless alternate data are provided. 

4.2.3 MOBILE6 Input Parameters 

• Calendar year

• Month (January, July) 

• Hourly Temperature 

• Altitude (high, low) 

• Weekend/weekday 

• Fuel characteristics (Reid vapor pressure, sulfur content, 

 oxygenate content, etc.) 

• Humidity and solar load 

• Registration (age) distribution by vehicle class 

• Annual mileage accumulation by vehicle class 

• Diesel sales fractions by vehicle class and model year 

• Average speed distribution by hour and roadway 

• Distribution of vehicle miles traveled by roadway type 

• Engine starts per day by vehicle class and distribution by hour 

• Engine start soak time distribution by hour 

• Trip end distribution by hour 

• Average trip length distribution 

• Hot soak duration 

• Distribution of vehicle miles traveled by vehicle class 

• Full, partial, and multiple diurnal distribution by hour 

• Inspection and maintenance (I/M) program description 

• Anti-tampering inspection program description 

• Stage II refueling emissions inspection program description 

• Natural gas vehicle fractions 

• HC species output 

• Particle size cutoff 

• Emissions factors for PM and HAP 

• Output format specifications and selections

4.2.4 MOBILE6 References 

The following publications provide much of the guidance for the preparation of the onhighway inventory. 

EPA-450/4-81-026d (Revised), now EPA/450-R-92-009, Procedures for Emission 

Inventory Preparation, Volume IV: Mobile Sources, December 1992. Hereafter, 

“Procedures Vol. IV”. The 1992 version is still the definitive document on 
21

inventories. If a previous edition is referred to, the fact will be noted as, for example, 

“the 1989 Procedures Vol. IV” or “Volume IV, 1989 edition”. 

EPA420-R-03-010, User’s Guide to MOBILE6.1 and MOBILE6.2: Mobile Source 

Emission Factor Model, August 2003. This is the User’s Guide for the official 

MOBILE6.2.03 on-highway mobile source emission factor model and will usually be 

referred to as the M6.2 (or simply M6) User’s Guide (UG). The M6 model in its 

various versions was developed and published by Assessment & Modeling Division 

(AMD) of the National Vehicle & Fuels Emissions Laboratory (NVFEL) in Ann Arbor, 

Michigan. The NVFEL is part of USEPA Office of Transportation & Air Quality 

(OTAQ), formerly the Office of Mobile Sources (OMS). 

Technical Guidance on the Use of MOBILE6 for Emission Inventory 

Preparation, August 2004. Hereafter, the M6 “Technical Guidance [Document]” or 

“TGD”. The TGD is the primary source of guidance on M6 inputs and an invaluable 

adjunct to the M6 User’s Guide. 

USEPA document “Frequently Asked Questions on MOBILE6”, 16 January 

2002. Hereafter, [M6] “FAQ”. This document was published along with the M6 

TGD. 

USEPA memo, “Policy Guidance on the Use of MOBILE6 for SIP Development 

and Transportation Conformity”, dated 18 January 2002, from John Seitz, 

Director of OAQPS, and Margo Oge, Director of OTAQ, to Regional Air Division 

Directors. 

4.3 Ohio’s Alternate Data for MOBILE6 

Alternative data is state-specific data that is used in the Mobile6 runs. Using local data 

is preferred to using the default data in Mobile6. Efforts are made to collect as much 

local data as possible. 

4.3.1 Vehicle Registration Distribution by Age 

Overview: 

The vehicle age distribution determines the fraction of vehicles operating within each 

emissions control requirement standard and the deterioration of the emission control 

technology. 

Emission rates vary widely between new and older vehicles. Thus, even small changes 

in fleet age, particularly for older vehicles, may result in large changes in emission 

totals. 
22

The MOBILE6 model requires estimates of a distribution of registered vehicles by age 

and vehicle category for current and future years. MOBILE6 default values were 

developed using national level vehicle registration data by age and class for July 1, 

1996. EPA developed a methodology to convert the July 1, 1996 registration profile into 

a general registration distribution by age and by vehicle category for some 6 composite 

(gasoline and diesel) vehicle types plus motorcycles. To project future changes, EPA 

evaluated general sales growth and vehicle scrappage trends for the total light-duty 

vehicle in-use fleet and the total heavy-duty vehicle in-use fleet, and made minor 

adjustments, where possible, to reflect some of the differences between vehicle 

categories. 

Description: The MOBILE6 model requires estimates of a distribution of registered 

vehicles by age and vehicle category for current and future years. OEPA chose to use 

local vehicle registration data provided by the Ohio Bureau of Motor Vehicles (BMV) 

which was sent to the Lake Michigan Air Directors Consortium (LADCO) to develop 

these inputs. LADCO then contracted with a subcontractor to breakout the age 

distribution data from the Vehicle Identification Numbers (VIN). 

Note: It was learned during the course of this inventory that there were some 

discrepancies in the age distribution data. But it was too large of a project to reevaluate 

the data prior to this inventory. This will be corrected in the next inventory (2008). 

Method Applicability: This approach is most applicable in areas where there are 

significant differences in the local vehicle fleet age distribution relative to the national 

average. 

Data Sources and Procedures: This approach involves using local vehicle registration 

data. This is typically available at the county level, but may also be applied using 

statewide data from the state motor vehicle registration office. The fleet age should be 

representative of the vehicle fleet over the small urban or rural area under question. 

Advantages: 

• Uses locally specific registration data, which is likely more representative of the 

local area than the national default. 

• Requires minimal additional resources, particularly if data is readily available at 

the county or local level from the State department of motor vehicle registration. 

• Recommended by EPA and generally is encouraged as a preferred approach 

over the national default approach.
23

4.3.2 Daily Vehicle Miles Traveled (DVMT) 

Overview: 

In coordination with Ohio Metropolitan Planning Organizations (MPOs), the Ohio 

Department of Transportation (ODOT) provided Daily Vehicle Miles Traveled (DVMT) 

data and travel demand model (TDM) data. TDM data will be covered in another 

section. Because TDM results are used by the state and MPOs to forecast traffic for a 

variety of reasons, undergo rigorous calibration and validation checks, and are sensitive 

to roadway capacity/travel time improvements, the TDMs are considered the best tool 

for emissions forecasting. Therefore, the DVMT data discussed in this section is not 

used directly for all areas of Ohio. In counties where it is not used directly it is used for 

making rough emissions estimates where models do not exist or where time prohibits 

the use of TDMs. DVMT is a simple mechanism to measure how much traffic is flowing 

along a roadway during an average 24 hour period. This simple formula multiplies 

Average Annual Daily Traffic (AADT) by the length of the roadway. For example; if a 

roadway is 2 miles in length and the AADT is 4000 vehicles per day the DVMT would be 

computed by multiplying 2*4,000 =8,000 or 8,000 DVMT. 

County-By-County DVMT is computed using the State of Ohio, Department of 

Transportation’s Roadway Information Files and the annual Highway Performance 

Monitoring System (HPMS) Summary Reports. DVMT’s are computed for all of the 

Federal Functional Class (FC) categories within each of Ohio’s 88 counties. 

The AADT and Roadway length information provides a very accurate estimate of 

statewide total DVMT for The State Highway System (Interstate, US and State Routes). 

County total DVMT are consistent and considered a good source of county level DVMT 

for countywide emissions estimates. For roadways that are not part of the State 

Highway System, various representative counts were used, such as: railroad crossing 

counts, HPMS Sample Section Counts, etc. All traffic count data that was not collected 

during the current year has had statewide growth factors applied to account for 

systematic growth. 

Given the previously mentioned methodologies, the DVMT data is more accurate on 

roads functionally classified as collector or above. 

Table 4-1 Federal Functional Class Categories: 

01 - Rural Interstate 

02 - Rural Principal Arterial 

06 - Rural Minor Arterial 

07 - Rural Major Collector 

08 - Rural Minor Collector 

09 - Rural Local 

11 - Urban Interstate 

12 - Urban Freeway & Expressway 

14 - Urban Principal Arterial 

16 - Urban Minor Arterial 

17 - Urban Collector 

19 - Urban Local 
24

Table 4-2 DVMT County Summary: 

For PDF web based tables of 2005 DVMT by county see: 

http://www.dot.state.oh.us/techservsite/availpro/Road_%20Infor/KDVMT/vmt2005.pdf

Disclaimer by ODOT: 

The above PDF web based tables contain the State of Ohio's adjusted county DVMT's 

and road mileage for the years 1990 - 2005. Please be aware that the numbers are 

estimates only. The factoring process used annual, estimated, and statewide ADT 

(Average Daily Traffic) growth factors, derived from the output of a limited number of 

traffic counting stations around the state. Although the growth factors are available by 

functional class, they are more reliable for major roads such as interstates or 

expressways, which are relatively well-sampled, than for local roads or collectors. The 

numbers also do no allow for periodic, large-scale functional reclassification actions 
25

which reassign selected roads or road segments from one functional class to another. 

The Ohio Department of Transportation therefore does not warrant the accuracy, 

completeness, or reliability of these estimates for your research. We also do not 

assume responsibility for any incorrectness that may occur. 

4.3.3 VMT From Travel Demand Models (TDM) 

Overview: 

Travel demand forecast modeling is performed by the Ohio Metropolitan Planning 

Organizations (MPOs) and ODOT for a multitude of purposes including the preparation 

of regional emissions estimates. The ODOT Office of Technical Services’ Modeling & 

Forecasting Section recommends that Ohio’s TDMs and ODOT’s conformity analysis 

methods be used to establish the roadway mobile source portion of Ohio’s SIP budget 

to assure consistent methods are used for transportation conformity analysis and 

budgets. Therefore, ODOT provided both MPO regional TDM runs and statewide TDM 

runs with associated data to OEPA and LADCO. The ODOT provided model run data 

for years 2002, 2005, 2009, 2012, and 2018. 

Data provided included loaded networks in both CSV format and GIS shape files, trip 

end summaries, zone boundary GIS shape files, intra-zonal trip VMT estimates, and 

VMT summaries for each of the loaded networks. Additional post processing data was 

provided including but not limited to metadata describing the loaded networks, Hourly 

distribution by functional class, speed profiles, day of week / weekend / monthly car and 

truck traffic profiles, 2009 & 2018 VMT RPO data sets, statewide VMT growth rates for 

local traffic, and a 2005 VMT summary comparison spreadsheet. It should be noted 

that among other things, the loaded TDM Networks contain distance and daily volumes 

from which VMT is computed. 

Network volumes are post processed to estimate VMT by hour of day. The hourly 

volumes and capacity, posted speed limit, and type of roadway for each roadway 

segment are then used to estimate average hourly speeds needed for MOBILE6 based 

emissions estimates. Modeling by segment by hour of day in this way makes emissions 

estimates more sensitive to the effects of roadway improvements. This allows 

transportation planners to evaluate the relative emissions affect of improvements to 

individual roadways as well as packages of improvements and the entire set of planned 

roadway improvement projects air quality impacts of construction programs. 
26

4.3.4 Speed Distribution Profiles 

Overview: 

ODOT provided speed distribution profiles to LADCO. A couple of different sets of 

speed distribution profiles were provided to OEPA and LADCO for their use, a table of 

space mean speeds by functional class for use with DVMTs and link group speed 

curves for post processing travel demand model traffic forecasts. Both sets of speed 

profiles are based on the same speed study conducted by ODOT. The speed study is 

documented in “Statewide Travel Time Study, May 2001 by Greg Giaimo, Ohio 

Department of Transportation”. When OEPA asked for speeds for use with MOBILE6 

for development of CERR, ODOT provided a set of speeds based on that statewide 

travel time study. Those speeds are documented in a technical memorandum titled 

“Estimation of Average Speed by Functional Class for MOBILE6 Runs” dated 

5/27/2004. Readers should refer to those documents for the details. Here the contents 

of the technical memo, Estimated Average Speed by Functional Class, are summarized. 

Space Mean Speeds by Functional Class for Use with County Level DVMT, HPMS: 

The memo states that the speeds which the Ohio Department of Transportation (ODOT) 

had been using prior to that date, 2004, for air quality analysis estimates based on 

County DVMT summaries, were developed by a former ODOT employee for addressing 

the one (1) hour standards conformity rules established due to 1990 emissions 

exceedances. No documentation was found in ODOT’s files on the origin of these 

average speed values or how they were estimated. In addition, EPA has requirements 

for using latest planning assumptions for air quality conformity analyses. Therefore, 

ODOT believed that it was in the state’s best interest to use the most recent available 

data to provide a new set of estimated average speeds consistent with those used for 

urban area travel demand models which were under development at that time. The 

memo contains comparisons of 2002 speed data obtained from traffic count equipment, 

automatic traffic recorders (ATRs) which collect data continuously throughout the year. 

It also contains comparisons of the new speeds with those used to address the one 

hour standard Gebhart’s. The graphs shown in figure 1, taken from the memo, illustrate 

the comparisons. The first graph compares time mean speeds from the ATRs with 

space mean speeds from ODOTs travel time study done in 2001and with the speeds 

used for addressing the one hour standard. 
27

Figure 1 - Speed Comparison Graphs 

Speeds Comparison

0.0

10.0

20.0

30.0

40.0

50.0

60.0

70.0

80.0

FC01

FC06

FC08

FC11

FC14

FC17

Functional Class

Speed

Average Speed

1990 Analysis

Speeds

2001 Speed Study

Speeds Comparison

0

20

40

60

80

100

FC01FC06FC08

FC11

FC14FC17

RAMPS

Functional Class

Speed

Average Speed

Min. Avg Speed

Max. Avg. Speed

Gebhardt's Speeds

Spd Study Est

Speeds

Spd Study Greg Est

The following caution statement was taken from the Estimation of Average Speed by 

Functional Class memo. 

CAUTION: It should be noted that speeds on facilities falling in any one of the federal 

functional classifications vary greatly between roadways, between hour of the day, and 

day of the week. So these provide only very rough estimates of speed and should be 

used with caution. In addition, it is expected that these average statewide speeds are 

higher than the average speeds in the non-attainment areas because the non-
28

attainment counties tend to be more populated and more congested. The document 

“Highway Vehicle Speed Estimation Procedures For Use in Emission Inventories”, 

September 1991 by Earl Ruiter of Cambridge Systematics Inc. is referenced by EPA’s 

documented procedures for emission inventory preparation. This document suggests 

post processing travel demand model traffic assignment results to estimate average 

speeds. 

Final space mean speeds that ODOT provided are summarized in the Table 1 below: 

Table 4-3 Speed by Federal Functional Class 

Functional Class 1990 Analysis 2001 Speed Study 

 Speeds Speeds 

FC01 57.3 64.0 

FC02 45.3 53.0 

FC06 39.9 53.0 

FC07 35.1 43.1 

FC08 30.5 43.1 

FC09 28.0 43.1 

FC11 46.3 61.6 

FC12 43.3 61.6 

FC14 18.9 29.3 

FC16 19.6 29.3 

FC17 19.6 29.2 

FC19 19.6 23.8 

It was decided by mutual agreement among individuals within the ODOT Office of 

Technical Services that these new space mean speed based average speed estimates 

were reproducible and defensible since they are well documented and should therefore 

be the speeds used with HPMS** VMT if any year 2002 emissions budget work is done 

using only the county level VMT summaries discussed in section 5.3.2 Daily Vehicle 

Miles Traveled (DVMT). 

** Note that HPMS VMT is a statewide VMT estimate and the county level DVMT 

summaries are consistent with the HPMS VMT so the county level DVMT summaries 

are loosely referred to as HPMS VMTs even though in fact they are not. 

4.3.5 Link Group Speed Curves: 

The ODOT Modeling & Forecasting Section recommends that Ohio’s travel demand 

forecasting models and ODOT’s conformity analysis methods be used to establish the 

roadway mobile source portion of Ohio’s SIP budget for reasons already mentioned in 

5.3.2 and to assure consistent methods are used for transportation conformity 

demonstration analyses and budgets. Therefore, ODOT provided travel demand model 

runs and the speed curves by link group that ODOT uses for the speed estimates within 
29

the post processing of travel demand model runs for estimating regional emissions. 

Table 2 shows these link group curves. 

Table 4-4 Link Group Codes & Associated BPR Curves 

Link 

Group 

Facility 

Type 

Free Flow 

Speed 

Areatype a b 

1 Freeway 75 Any 0.39 6.3 

2 Freeway 70 Any 0.32 7.0 

3 Freeway 65 Any 0.25 9.0 

4 Freeway 60 Any 0.18 8.5 

5 Freeway 55 Any 0.10 10.0 

6 Multi-Lane 60 Rural 0.09 6.0 

7 Multi-Lane 55 Rural 0.08 6.0 

8 Multi-Lane 50 Rural 0.07 6.0 

9 Multi-Lane 45 Rural 0.07 6.0 

10 2 Lane Any Rural 0.34 4.0 

10 Urban 

Street 

50 Suburban 0.34 4.0 

11 Urban 

Street 

50 Urban 0.74 5.0 

12 Urban 

Street 

50 CBD 1.16 6.0 

13 Urban 

Street 

40 Suburban 0.38 5.0 

14 Urban 

Street 

40 Urban 0.70 5.0 

15 Urban 

Street 

40 CBD 1.00 5.0 

16 Urban 

Street 

35 Suburban 0.96 5.0 

17 Urban 

Street 

35 Urban 1.00 5.0 

18 Urban 

Street 

35 CBD 1.40 5.0 

19 Urban 

Street 

30 Suburban 1.11 5.0 

20 Urban 

Street 

30 Urban 1.20 5.0 

21 Urban 

Street 

30 CBD 1.50 5.0 

Note: a and b are the BPR curve parameters for the equation 

T = T0 {1 + a * (V/C)^b] 
30

More complete details about emissions modeling process employed by ODOT may be 

found in ODOT documentations. The document titled “Congestion Management & Air 

Quality Analysis (CMAQ) Program Documentation” dated December 2005 may be 

obtained from the ODOT web site at www.dot.state.oh.us/urban/data/cmaq.doc

(Microsoft Word document) 

4.4 Mobile6 Inputs: 

The following table contains the inputs supplied to LADCO to process our mobile 

inventory. 

4.4.1 Ohio’s 2005 MOBILE6 Inputs 

The following tables are the result of a joint meeting between Ohio EPA, ODOT, and 

MPOs from around the state. At that meeting Mobile6 inputs were discussed and 

efforts were made to verify the sources of data inputs for Moble6. Dialogue has 

continued between the parties. 

For historical reference: 

>>> Dave Moore <Dave.Moore1@dot.state.oh.us> 4/10/2006 2:13 PM >>> 

All, 

An air quality coordination meeting has been scheduled for April 27, 2006 at 10:00 AM at ODOT Central 

Office conference room GA. The primary purpose of this meeting is to discuss development of 2002 

mobile source inventories for use in developing the Ohio 2007 8-Hour Ozone SIP Attainment 

Demonstrations. See meeting agenda below. OEPA is working toward a June 15, 2006 schedule for 

submitting the 2002 inventories to US EPA. 

A key component of the meeting will be to review and confirm the MOBILE6.2 input parameters, by Ohio 

a/q area, for use in developing the 2002 mobile inventories. See draft template below. The Ohio MPO 

travel demand models will be used to generate the 2002 VMT inputs to MOBILE. Thanks, DM 

DM 
31

IMPORTANT NOTICE: The following tables are not to be used for inventory purposes 

as the data is subject to change. For the current input table, contact Ohio EPA, Division 

of Air Pollution Control. 

Table 4-5 Mobile Inputs 

Cleveland-Akron 2005 Ozone M6.2 Inputs 

Includes the following counties: 

Ashtabula, Cuyahoga, Geauga, Lake, Lorain, Medina, Portage, Summit 

 

State Programs 

Input 

 

Stage II Refueling 93/3/86/86 

 

Anti-tampering Programs 96/78/50/22222/21111111/1/12/098./12111112 

I/M Programs Yes 

Exclude Ashtabula County - No I/M program 

Program 1 2004 2050 2 T/O OBD I/M 

Model Years 1 1996 2050 

Vehicles 1 22222 21111111 1 

Stringency 1 30.0 

Compliance 1 98.0 

Waiver Rates 1 1.0 1.0 

Cutpoints 

Exemption Age 1 25 

Grace Period 1 4 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 2 2004 2050 2 T/O EVAP OBD & GC 

Model Years 2 1996 2050 

Vehicles 2 22222 11111111 1 

Stringency 

Compliance 2 98.0 

Waiver Rates 2 1.0 1.0 

Cutpoints 

Exemption Age 2 25 

Grace Period 2 4 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 3 2001 2003 2 T/O ASM 2525 PHASE-IN 
32

Model Years 3 1996 2003 

Vehicles 3 22222 21111111 1 

Stringency 3 30.0 

Compliance 3 98.0 

Waiver Rates 3 3.0 1.0 

Cutpoints 

Exemption Age 3 25 

Grace Period 3 2 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 4 2001 2050 2 T/O ASM 2525 PHASE-IN 

Model Years 4 1975 1995 

Vehicles 4 22222 21111111 1 

Stringency 4 30.0 

Compliance 4 98.0 

Waiver Rates 4 3.0 1.0 

Cutpoints 

Exemption Age 4 25 

Grace Period 4 4 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 5 1998 2000 2 T/O LOADED/IDLE 

Model Years 5 1975 2000 

Vehicles 5 22222 21111111 1 

Stringency 5 30.0 

Compliance 5 98.0 

Waiver Rates 5 3.0 1.0 

Cutpoints 

Exemption Age 5 25 

Grace Period 5 2 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 6 1996 1997 2 T/O IM240 

Model Years 6 1975 1997 

Vehicles 6 22222 21111111 1 

Stringency 6 30.0 

Compliance 6 98.0 

Waiver Rates 6 3.0 1.0 

Cutpoints 6 CUTPOINT.D 

Exemption Age 6 25 

Grace Period 6 2 

NO TTC Credits 

Effectiveness 

DESC file 
33

 

Program 7 1996 2050 2 T/O GC 

Model Years 7 1975 1995 

Vehicles 7 22222 21111111 1 

Stringency 

Compliance 7 98.0 

Waiver Rates 7 3.0 1.0 

Cutpoints 

Exemption Age 7 25 

Grace Period 7 2 

NO TTC Credits 

Effectiveness 

DESC file 

 

Fuel Commands 

 

Fuel Program 1 

 

Oxygenated Fuels 0.00 0.42 0.00 0.036 2 

 

Fuel RVP 9 

 

Alternative Emission Regulations and Control Measures 

Rebuild Effects 0.1 

 

External Conditions Commands 

 

Calendar Year 2005 

 

Evaluation Month 7 

 

Min/Max Temperature National Climatic Data Center 

 

Vehicle Fleet Characteristic Commands 

 

Registration Distribution Variable 

 
34

Cincinnati-Dayton-Springfield 2005 Ozone M6.2 Inputs 

Includes the following counties: 

Ohio: Butler, Clark, Clermont, Clinton, Greene, Hamilton, Miami, Montgomery, 

Warren

Indiana: Lawrenceburg Twp., Dearborn County

Kentucky: Boone, Campbell and Kenton counties

State Programs 

Input 

Note: Indiana and Kentucky inputs may not coincide with Ohio inputs 

 

Stage II Refueling 93/3/86/86 

 

Anti-tampering Programs 96/78/05/22222/21111111/1/12/098./12111112 

I/M Programs Yes 

Excludes Clinton Co. and Miami Co., OH, Dearborn County, IN - No I/M program 

Note: I/M inputs for Kentucky counties are not included 

Program 1 2004 2050 2 T/O OBD I/M 

Model Years 1 1996 2050 

Vehicles 1 22222 21111111 1 

Stringency 1 30.0 

Compliance 1 98.0 

Waiver Rates 1 1.0 1.0 

Cutpoints 

Exemption Age 1 25 

Grace Period 1 2 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 2 2004 2050 2 T/O EVAP OBD & GC 

Model Years 2 1996 2050 

Vehicles 2 22222 11111111 1 

Stringency 

Compliance 2 98.0 

Waiver Rates 2 1.0 1.0 

Cutpoints 

Exemption Age 2 25 

Grace Period 2 2 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 3 2001 2003 2 T/O ASM 2525 PHASE-IN 

Model Years 3 1996 2003 

Vehicles 3 22222 21111111 1 

Stringency 3 30.0 

Compliance 3 98.0 
35

Waiver Rates 3 3.0 1.0 

Cutpoints 

Exemption Age 3 25 

Grace Period 3 2 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 4 2001 2050 2 T/O ASM 2525 PHASE-IN 

Model Years 4 1975 1995 

Vehicles 4 22222 21111111 1 

Stringency 4 30.0 

Compliance 4 98.0 

Waiver Rates 4 3.0 1.0 

Cutpoints 

Exemption Age 4 25 

Grace Period 4 4 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 5 1998 2000 2 T/O LOADED/IDLE 

Model Years 5 1975 2000 

Vehicles 5 22222 21111111 1 

Stringency 5 30.0 

Compliance 5 98.0 

Waiver Rates 5 3.0 1.0 

Cutpoints 

Exemption Age 5 25 

Grace Period 5 2 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 6 1996 1997 2 T/O IM240 

Model Years 6 1975 1997 

Vehicles 6 22222 21111111 1 

Stringency 6 30.0 

Compliance 6 98.0 

Waiver Rates 6 3.0 1.0 

Cutpoints 6 CUTPOINT.D 

Exemption Age 6 25 

Grace Period 6 2 

NO TTC Credits 

Effectiveness 

DESC file 

 

Program 7 1996 2050 2 T/O GC 

Model Years 7 1975 1995 

Vehicles 7 22222 21111111 1 
36

Stringency 

Compliance 7 98.0 

Waiver Rates 7 3.0 1.0 

Cutpoints 

Exemption Age 7 25 

Grace Period 7 2 

NO TTC Credits 

Effectiveness 

DESC file 

 

 

Fuel Commands 

 

Fuel Program 1 

 

Oxygenated Fuels 0.00 0.42 0.00 0.036 2 

 

Fuel RVP 9 

 

Alternative Emission Regulations and Control Measures 

Rebuild Effects 0.1 

 

External Conditions Commands 

 

Calendar Year 2005 

 

Evaluation Month 7 

 

Min/Max Temperature National Climatic Data Center 

 

Vehicle Fleet Characteristic Commands 

 

Registration Distribution Variable 

 
37

 

Other Areas (excluding NOACA/AMATS and OKI/MVRPC) Ozone M6.2 

Inputs 

Includes the following counties: 

Ohio: Belmont, Columbiana, Delaware, Fairfield, Franklin, Jefferson, Knox, Licking,

Lucas,Madison, Mahoning, Pickaway, Trumball, Wood 

 

Fuel Commands 

Input 

 

Fuel Program 1 

Oxygenated Fuels 0.00 0.42 0.00 0.036 2 

Fuel RVP 9 

Alternative Emission Regulations and Control Measures 

 

Rebuild Effects 0.1 (0.30 for 2018) 

 

External Conditions Commands 

 

Calendar Year All 

 

Evaluation Month 7 

Min/Max Temperature National Climatic Data Center 

Vehicle Fleet Characteristic Commands 

Registration 

Distribution Variable 

4.5 Ohio’s Mobile Emission Data Processed by LADCO (Lake Michigan Air 

Director’s Consortium): 

2005 TDM and Mobile6 input data were provided to LADCO for processing. The data 

was processed by LADCO with T3 to prepare it as an input into the ConCEPT model. 

T3 and ConCEPT are described as follows. 
38

4.5.1 T3--Development of Link-Level Mobile Source Emission Inventories: 

Highly resolved emission inventories for on-road mobile sources are needed for air 

quality modeling to develop the necessary technical support for new State 

Implementation Plans (SIPs) for regional haze, fine particles, and ozone. Emissions for 

on-road motor vehicles are estimated using vehicle miles traveled, trip starts and ends, 

speed, and other activity data developed by State Agencies and Metropolitan Planning 

Organizations (MPOs) using transportation demand models (TDMs), and emission 

factors from EPA's MOBILE6 model. To support this modeling in the upper Midwest, 

ENVIRON, working with LADCO, State DOTs, and local MPOs, has developed a 

software tool (the TDM Transformation Tool, or "T3") that takes TDM output from 

approximately twenty transportation networks using a variety of models, applies 

appropriate data transformations, and outputs link- and county-level activity data in a 

uniform format for input to the CONCEPT emissions processing model (a new 

emissions processing model also developed with funding from LADCO). In a parallel 

effort, analyses of extensive automatic traffic recorder (ATR) data collected by State 

DOTs were conducted to develop temporal profiles (hour of day, day of week, and 

month of year) of vehicle counts and vehicle mix by roadway type for developing the 

detailed on-road emission inventories. 

T3 provides a conduit from the projections of traffic demand modelers regarding vehicle 

types, road networks, and vehicle activity to the activity data required by emissions 

modelers. The primary goals of T3 are to provide an easy mechanism for incorporating 

TDM model outputs in as "raw" a format as possible, while simultaneously providing a 

great degree of flexibility in representing the TDM projections in terms acceptable to 

most air quality models. These goals have been achieved through the use of a 

dimensional transformation approach, where the dimensions of the various 

transformations are user-defined - hence the name of the tool. 

By Stella Shepard, Alison K. Pollack, John Haasbeek, ENVIRON International 

Corporation, 101 Rowland Way, Suite 220, Novato, CA. 94945 

& Mark Janssen, Lake Michigan Air Directors Consortium (LADCO), 2250 E. Devon 

Avenue # 250, Des Plaines, IL 60018, janssen@ladco.org 

4.5.2 ConCEPT--Consolidated Community Emissions Processing Tool an OpenSource Tool for the Emissions Modeling Community: 

The new CONCEPT (CONsolidated Community Emissions Processing Tool) 

Emissions Processor is now available for use by the emissions modeling community. 

Developed as joint project between Alpine Geophysics, LLC and ENVIRON Corporation, 

with Midwest RPO and joint RPO funding, the CONCEPT model combines the best 

attributes of current emissions modeling systems into an open source model highlighting 

the following features: 

• Open Source. Written primarily in PostgreSQL, the software required for running 
39

CONCEPT is in the public domain. The model itself is GNU Public License (GPL) 

compliant and users are encouraged to make additions and enhancements to the 

modeling system. 

• Transparent. The database structure of the model makes the system easy to 

understand, and the modeling codes themselves are extremely well documented to 

encourage user participation in the customizing the system for specific modeling 

requirements. 

• Quality Control. The CONCEPT model structure and implementation allows for 

multiple levels of QA analysis during every step of the emissions calculation process. 

Using the database structures, an emissions modeler can easily trace a process or 

facility and review the calculation procedures and assumptions for any emissions value. 

The CONCEPT model includes modules for the major emissions source 

categories: area source, point source, on-road motor vehicles, non-road motor vehicles 

and biogenic emissions, as well as a number of supporting modules, including spatial 

allocation factor development, speciation profile development, growth and control for 

point and area sources, and CEM point source emissions handling. The emissions 

modeling community has already begun development of additional CONCEPT support 

modules including CEM preprocessing software, graphical QA tools, and an interface to 

the traffic demand models for on-road motor vehicle emissions estimation. 

By Cyndi Loomis, James G. Wilkinson, Alpine Geophysics, LLC, & John Haasbeek, 

Alison Pollack, ENVIRON Corporation. & Mark Janssen, Lake Michigan Air Directors 

Consortium (LADCO), 2250 E. Devon Avenue # 250, Des Plaines, IL 60018, 

janssen@ladco.org 

4.5.3 LADCO Ohio Data Outputs for 2005: 

The following LADCO outputs and documents can be found at: 

www.ladco.org/tech/emis/net05/index.html 

Table 4-6 LADCO Data Output 

Sta

te Network

T3 

Descripti

on DOC

M6 

Inpu

ts

VM

T vs 

HP

MS 

Exc

el

Average 

Day 

VMT 

(this 

should 

match 

conformi

ty 

inventory

)

Co

unt

y 

Em

issi

on

s 

Re

por

t

All 

Pollut

ants 

After 

Speci

ation

Dropped 

VMT

M6 

Run 

Summ

ary

Pollut

ant 

Totals 

(Short

)

Raw 

Summ

ary 

(pol,ve

h, 

etype)

Hourly 

Tempo

ral 

Summ

ary

Hourly 

Veh 

Mix 

Summ

ary

Hourly 

Speed 

Summ

ary 

(with 

volum

e/ 

capaci

ty) 

OH AKRON AKRON OH OH AKRON 1 1 1 1 1 1 1 1 1
40

OH CANTON CANTON OH OH CANTON 1 1 1 1 1 1 1 1 1

OH CINCI CINCI OH OH CINCI 1 1 1 1 1 1 1 1 1

OH CLEVE CLEVE OH OH CLEVE 1 1 1 1 1 1 1 1 1

OH COLUMB

US

COLUMB

US OH OH COLUMBUS 1 1 1 1 1 1 1 1 1

OH SPRING

FLD

SPRING

FLD OH OH SPRINGFLD 1 1 1 1 1 1 1 1 1

OH TOLEDO TOLEDO OH OH TOLEDO 1 1 1 1 1 1 1 1 1

OH YNGSTO

WN

YNGSTO

WN OH OH YNGSTOWN 1 1 1 1 1 1 1 1 1

OH STATEW

D

STATEW

D OH OH STATEWD 1 1 1 1 1 1 1 1 1

Additional Documents on LADCO Web Page: 

“Comparison to EPA's Default Model NMIM”

“How we Build the 2005 Vmt/Networks”

“Spreadsheet/Graphics on Vehicle Mix”

“Background on the T3 Tool “ 

4.6 MPO Contact Table 

Table 4-7 County Summary Table of MPOs by County 

FIPS County Model Network MPO Contact Person 

39001 Adams Statewide 

39003 Allen Statewide 

Lima Allen County Regional 

Planning Commission 

Tom Mazur 

39005 Ashland Statewide 

39007 Ashtabula Statewide 

39009 Athens Statewide 

39011 Auglaize Statewide 

39013 Belmont Statewide 

Bel-O-Mar Regional Council 

and Interstate Planning 

Commission 

Rakesh Sharma 

39015 Brown Statewide 

39017 Butler Cincinnat/Dayton 

Ohio-Kentucky-Indiana 

Regional Council of 

Governments 

Andy Reser 

39019 Carroll Statewide 

39021 Champaign Statewide 

39023 Clark Springfield 

Coordinating Committee of 

the Clark County-Springfield 

Eric Ottoson 
41

Transportation Study 

39025 Clermont Cincinnat/Dayton 

Ohio-Kentucky-Indiana 

Regional Council of 

Governments 

Andy Reser 

39027 Clinton Statewide 

39029 Columbiana Statewide 

39031 Coshocton Statewide 

39033 Crawford Statewide 

39035 Cuyahoga Cleveland 

Northeast Ohio Areawide 

Coordinating Agency 

Bill Davis 

39037 Darke Statewide 

39039 Defiance Statewide 

39041 Delaware Columbus 

Mid-Ohio Regional Planning 

Commission 

Nick Gill 

39043 Erie Statewide 

39045 Fairfield Statewide 

39047 Fayette Statewide 

39049 Franklin Columbus 

Mid-Ohio Regional Planning 

Commission 

Nick Gill 

39051 Fulton Statewide 

39053 Gallia Statewide 

39055 Geauga Cleveland 

Northeast Ohio Areawide 

Coordinating Agency 

Bill Davis 

39057 Greene Cincinnat/Dayton 

Miami Valley Regional 

Planning Commission 

Ana Ramirez 

39059 Guernsey Statewide 

39061 Hamilton Cincinnat/Dayton 

Ohio-Kentucky-Indiana 

Regional Council of 

Governments 

Andy Reser 

39063 Hancock Statewide 

39065 Hardin Statewide 

39067 Harrison Statewide 

39069 Henry Statewide 

39071 Highland Statewide 

39073 Hocking Statewide 

39075 Holmes Statewide 

39077 Huron Statewide 

39079 Jackson Statewide 

39081 Jefferson Statewide 

Brooke-Hancock-Jefferson 

Transportation Study Policy 

Committee 

Mike Proprocki 

39083 Knox Statewide 

39085 Lake Cleveland 

Northeast Ohio Areawide 

Coordinating Agency 

Bill Davis 

39087 Lawrence Statewide 

KYOVA Interstate Planning 

Commission 

39089 Licking Columbus 

Licking County Area 

Transportation Study 

Matthew Hill 

39091 Logan Statewide 

39093 Lorain Cleveland Northeast Ohio Areawide Bill Davis 
42

Coordinating Agency 

39095 Lucas Toledo 

Toledo Metropolitan Area 

Council of Governments 

Sujatha Mohanakrishnan 

39097 Madison Statewide 

39099 Mahoning Youngstown 

Eastgate Regional Council 

of Governments 

R.P. Samulka 

39101 Marion Statewide 

39103 Medina Cleveland 

Northeast Ohio Areawide 

Coordinating Agency 

Bill Davis 

39105 Meigs Statewide 

39107 Mercer Statewide 

39109 Miami Cincinnat/Dayton 

Miami Valley Regional 

Planning Commission 

Ana Ramirez 

39111 Monroe Statewide 

39113 Montgomery Cincinnat/Dayton 

Miami Valley Regional 

Planning Commission 

Ana Ramirez 

39115 Morgan Statewide 

39117 Morrow Statewide 

39119 Muskingum Statewide 

39121 Noble Statewide 

39123 Ottawa Statewide 

39125 Paulding Statewide 

39127 Perry Statewide 

39129 Pickaway Statewide 

39131 Pike Statewide 

39133 Portage Akron 

Akron Metropolitan Area 

Transportation Study 

Jason Segedy 

39135 Preble Statewide 

39137 Putnam Statewide 

39139 Richland Statewide 

Richland County Regional 

Planning Commission 

John Adams 

39141 Ross Statewide 

39143 Sandusky Statewide 

39145 Scioto Statewide 

39147 Seneca Statewide 

39149 Shelby Statewide 

39151 Stark Canton 

Stark County Regional 

Planning Commission 

Dan Slicker 

39153 Summit Akron 

Akron Metropolitan Area 

Transportation Study 

Jason Segedy 

39155 Trumbull 

Youngstown (partial 

county model 

coverage) 

Eastgate Regional Council 

of Governments 

R.P. Samulka 

39157 Tuscarawas Statewide 

39159 Union Statewide 

39161 Van Wert Statewide 

39163 Vinton Statewide 

39165 Warren Cincinnat/Dayton 

Ohio-Kentucky-Indiana 

Regional Council of 

Governments 

Andy Reser, OKI 

+ 
43

+ 

Miami Valley Regional 

Planning Commission 

Ana Ramirez, MVRPC 

39167 Washington Statewide 

Wood-Washington-Wirt 

Interstate Planning 

Commission 

39169 Wayne Statewide 

39171 Williams Statewide 

39173 Wood Toledo 

Toledo Metropolitan Area 

Council of Governments 

Sujatha Mohanakrishnan 

39175 Wyandot Statewide 

NOTE: Complete MPO information can be found at, 

www.dot.state.oh.us/urban/mpomap.htm and at 

www.dot.state.oh.us/urban/mpolist.htm#Cleveland . 

SECTION 5

MARINE, AIRCRAFT and RAIL (MAR) SOURCES 

MAR sources are non-road sources which are significant enough in terms of emissions 

to be considered separately from the rest of the non-road sources. The MAR inventory 

consists of commercial marines, aircraft and locomotive sources. The marine and 

locomotive inventory is generated by Environ1

 under contract with LADCO and the 

aircraft inventory is generated by Ohio EPA. 

5.1 Marine Vessel Sources 

The approach to commercial marine emission estimates needed to be flexible because 

the activity data was available in many formats. Emission estimates were determined 

either by multiplying engine power, load factor, hours per year of operation, or on the 

basis of the number of gallons of fuel consumed. 

Emissions were determined for ten subclasses of vessel types: Deep draft vessels 

(DDV) at port, DDV mid-late, push boats (rivers/lakes), tugs, ferries, other special 

(excursion) vessels, support vessels, dredges, commercial fishing, and military vessels 

(Coast Guard). These were linked to various Ohio lakes and rivers. 

Because of the large variety of methodologies employed, inventory tables for the ten 

subcategories are detailed in the complete inventory prepared and published by 

ENVIRON International Corporation: LADCO 2005 COMMERCIAL MARINE 

EMISSIONS, by Christian E. Lindhjem, March, 2007. 

Emission totals produced by ENVIRON were provided to LADCO to submit to EPA for 

Ohio’s State Implementation Plan (SIP). 
44

5.2 Rail Sources 

The primary activity unit used to determine emissions is gallons of fuel consumed. 

Emission rates were derived from EPA documents provided as support documentation 

for the 1997 locomotive emission standards (EPA, 1997). Gallons of fuel consumed 

were based on rail activity. 

Rail activity was broken down into four Source Category Codes (SCC). Class I, linehaul rail: Large interstate railroad companies like Union Pacific and Norfolk Southern. 

Class I,II, III, switching rail: Yard operations. Class II, III line haul: Regional and local 

railroads. And Passenger rail: AMTRAK. 

Class I, line-haul represents 84.3% of fuel used and the largest emission’s category. 

The complete emission’s inventory was prepared and published by ENVIRON 

International Corporation: LADCO 2005 LOCOMOTIVE EMISSIONS, by Christian E. 

Lindhjem, February, 2007. 

Emission totals produced by ENVIRON were provided to LADCO to submit to EPA for 

Ohio’s State Implementation Plan (SIP). 

EPA. 1997: "Locomotive Emission Standards." Regulatory Support Document, United States 

Environmental Protection Agency, Office of Mobile Sources, April. And EPA 1997, Emission Factors for 

Locomotives," Environmental Protection Agency, EPA420-F-97-051, December. 

5.3 Aircraft Sources 

INTRODUCTION: 

 The aircraft emission’s inventory is derived by taking the number of Landings and 

Take Offs (LTOs) per year and multiplying by an emission factor. In the Ohio inventory 

when specific aircraft models and engine type emission factors are known they were 

used. For the rest of the inventory the emission factors came from USEPA’s fleet 

average emissions data. Those results are then compiled as tons per year per pollutant 

by county. The following describes the components, methodology, and concludes with 

a description of an Access based aircraft emission calculator. 

COMPONENTS: 

 I. Ohio Airports: 

 A list of both towered and non-towered airports in Ohio is obtained from the Ohio 

Department of Transportation. See: www.dot.state.oh.us/aviation/ In conversation 

with ODOT two individuals stated that the 164 airports listed covered over 90% of the 

airports in Ohio. See Table 1. 
45

 II. Number of Operations/LTOs by Airport/County: 

 The ODOT list contained the number of operations a year per airport. An 

operation is either a landing or a take-off. A Landing and Take Off (LTO) is required for 

FAA EDMS calculations. LTOs were derived simply by dividing the number of 

operations by two. These were totaled by county. 

Table 5-1 Number of operations and LTOs for 2005

County Airport Name ID Total Operations LTOs/Year 

Adams Alexander Salamon AMT 5210 2605 

Allen Allen County AOH 32500 16250 

Ashland Ashland County 3G4 49240 24620 

Ashtabula Ashtabula County HZY 16886 8443 

Ashtabula Germack 7D9 840 420 

Athens Ohio University UNI 51600 25800 

Auglaize Neil Armstrong AXV 29456 14728 

Belmont Barnesville-Bradfield 6G5 10150 5075 

Belmont Alderman 2P7 6150 3075 

Brown Brown County GEO 5157 2578.5 

Butler Butler County Regional HAO 61687 30843.5 

Butler Hook Field Municipal MWO 40050 20025 

Butler Miami University OXD 16708 8354 

Carroll Carroll County -Tolson TSO 34950 17475 

Carroll Parsons 5D6 2674 1337 

Champaign Grimes Field I74 23480 11740 

Champaign Weller 38I 300 150 

Clark Springfield-Beckley Municipal SGH 64033 32016.5 

Clark Mad River I54 15350 7675 

Clermont Clermont County I69 35741 17870.5 

Clinton Airborne Airpark ILN 52000 26000 

Clinton Clinton Field I66 29360 14680 

Clinton Hollister Field 2B6 161 80.5 

Columbiana Columbiana County Ø2G 31146 15573 

Columbiana Koons 8G8 2546 1273 

Coshocton Richard Downing I4Ø 19550 9775 

Coshocton Tri-City 8ØG 8085 4042.5 

Crawford Port Bucyrus 17G 24871 12435.5 

Crawford Galion Municipal GQQ 5216 2608 

Cuyahoga Burke Lakefront BKL 97100 48550 

Cuyahoga Cleveland-Hopkins International CLE 234356 117178 

Cuyahoga Cuyahoga County CGF 79774 39887 

Darke Darke County VES 9238 4619 

Defiance Defiance Memorial DFI 9130 4565 

Delaware Delaware Municipal DLZ 39300 19650 

Delaware Packer 5E9 3181 1590.5 

Erie Hinde 88D 1350 675 

Erie Kelleys Island 89D 25495 12747.5 

Erie Griffing-Sandusky SKY 112100 56050 
46

Erie Wakeman I64 17324 8662 

Fairfield Miller's Farm 7B4 360 180 

Fairfield Fairfield County LHQ 43066 21533 

Fayette Fayette County I23 29405 14702.5 

Franklin Ohio State University OSU 134459 67229.5 

Franklin Port Columbus International CMH 218438 109219 

Franklin Rickenbacker International LCK 96200 48100 

Franklin Bolton Field TZR 69149 34574.5 

Franklin Columbus Southwest Ø4I 11833 5916.5 

Franklin Darby Dan 6I6 11260 5630 

Fulton Fulton County USE 21123 10561.5 

Gallia Gallia-Meigs Regional GAS 12200 6100 

Geauga Gates 7D8 4200 2100 

Geauga Geauga County 7G8 5350 2675 

Greene Greene County - Lewis A. Jackson I19 37400 18700 

Greene Bloom 14I 100 50 

Guernsey Cambridge Municipal CDI 6040 3020 

Hamilton Lunken LUK 129430 64715 

Hamilton Blue Ash ISZ 35000 17500 

Hamilton Cincinnati West I67 30197 15098.5 

Hancock Bluffton 5G7 71980 35990 

Hancock Findlay FDY 19800 9900 

Hancock Priebe 7D5 3850 1925 

Hardin Ada ØD7 331 165.5 

Hardin Hardin County I95 6562 3281 

Hardin Elliott's Landing O74 1560 780 

Harrison Harrison County 8G6 11900 5950 

Henry Henry County 7W5 15637 7818.5 

Highland Highland County HOC 18325 9162.5 

Holmes Holmes County 1ØG 21400 10700 

Huron Huron County 5A1 10100 5050 

Huron Willard 8G1 2715 1357.5 

Jackson James A. Rhodes I43 6053 3026.5 

Jefferson Jefferson County Airpark 2G2 15969 7984.5 

Jefferson Eddie Dew Memorial 1G8 3540 1770 

Knox Knox County 4I3 20150 10075 

Knox Wynkoop 6G4 4691 2345.5 

Lake Concord Airpark 2G1 4510 2255 

Lake Willoughby Lost Nation Municipal LNN 45085 22542.5 

Lawrence Lawrence County Airpark HTW 41910 20955 

Licking Newark-Heath VTA 12457 6228.5 

Logan Bellefontaine Regional EDJ 8325 4162.5 

Lorain Columbia 4G8 5150 2575 

Lorain Elyria 1G1 14300 7150 

Lorain Lagrange 92D 1155 577.5 

Lorain Lorain County Regional LPR 62000 31000 

Lorain Reader-Botsford Airfield 67D 18700 9350 

Lucas Toledo Express TOL 94600 47300 
47

Madison Madison County UYF 41410 20705 

Mahoning Salem Airpark 38D 16920 8460 

Mahoning Tri-City 3G6 10555 5277.5 

Mahoning Elser Metro 4G4 49232 24616 

Mahoning Lansdowne Ø4G 750 375 

Marion Marion Municipal MNN 42650 21325 

Medina Medina Municipal 1G5 79685 39842.5 

Medina Wadsworth Municipal 3G3 41025 20512.5 

Medina Weltzien Skypark 15G 79130 39565 

Mercer Lakefield CQA 16212 8106 

Miami Hartzell Field I17 10200 5100 

Miami Troy Skypark 37I 4264 2132 

Miami Waco Field 1WF 0 0 

Monroe Monroe County 4G5 3324 1662 

Montgomery Brookville Air-Park I62 29359 14679.5 

Montgomery James M. Cox Dayton Intl DAY 134524 67262 

Montgomery Dayton Wright Brothers MGY 89045 44522.5 

Montgomery Moraine Airpark I73 12938 6469 

Montgomery Dahio Trotwood I44 1853 926.5 

Montgomery Phillipsburg 3I7 68000 34000 

Morgan Morgan County I71 5725 2862.5 

Morrow Morrow County 4I9 19108 9554 

Muskingum Zanesville Municipal ZZV 33312 16656 

Muskingum Parr 42I 16150 8075 

Noble Noble County - Mike Brienza Field I1Ø 5950 2975 

Ottawa Middle Bass-East Point 3W9 1300 650 

Ottawa Middle Bass Island 3T7 6500 3250 

Ottawa North Bass Island 3X5 1000 500 

Ottawa Carl R. Keller Field PCW 20890 10445 

Ottawa Put-In-Bay 3W2 15140 7570 

Paulding Paulding 2H8 2100 1050 

Perry Crooksville I84 400 200 

Perry Perry County I86 4550 2275 

Pickaway Pickaway County CYO 35450 17725 

Pickaway Clarks Dream Strip Ø3I 2770 1385 

Pike Pike County EOP 2012 1006 

Portage Freedom Air Field 7D6 1623 811.5 

Portage Farview 86D 3353 1676.5 

Portage Mills 7E3 1050 525 

Portage Portage County 29G 9621 4810.5 

Putnam Ruhe's R47 13250 6625 

Putnam Putnam County OWX 11910 5955 

Putnam Ohio Dusting Co. 6C2 2995 1497.5 

Richland Mansfield Lahm Regional MFD 57518 28759 

Richland Shelby Community 12G 2012 1006 

Ross Ross County RZT 50150 25075 

Sandusky Fremont 14G 37450 18725 

Sandusky Sandusky County Regional S24 6148 3074 
48

Scioto Greater Portsmouth Regional PMH 45830 22915 

Seneca Bandit Field 5D9 140 70 

Seneca Fostoria Metropolitan FZI 7900 3950 

Seneca Weiker 82D 320 160 

Seneca Seneca County 16G 60165 30082.5 

Shelby Sidney Municipal I12 20500 10250 

Stark Barber 2D1 13750 6875 

Stark Miller Airport 4G3 8000 4000 

Stark Beach City 2D7 6112 3056 

Summit Akron Fulton International AKR 26000 13000 

Summit Akron-Canton Regional CAK 120441 60220.5 

Summit Mayfield 1D4 450 225 

Summit Kent State University 1G3 72500 36250 

Trumbull Braceville 41N 425 212.5 

Trumbull Warren 62D 14738 7369 

Trumbull Youngstown-Warren Regional YNG 98298 49149 

Tuscarawas Harry Clever Field PHD 54880 27440 

Union Union County MRT 31886 15943 

Van Wert Van Wert County VNW 20516 10258 

Vinton Vinton County 22I 5225 2612.5 

Warren Warren County I68 24951 12475.5 

Warren Red Stewart Airfield 4ØI 16800 8400 

Wayne Wayne County BJJ 96520 48260 

Williams Williams County ØG6 10010 5005 

Wood Wood County 1GØ 27405 13702.5 

Wood Bordner 3D8 2200 1100 

Wood Deshler Municipal 6D7 2000 1000 

Wood Metcalf TDZ 90700 45350 

Wyandot Wyandot County 56D 7410 3705 

III. Aircraft Models and Number of LTO/yr: 

Specific aircraft models by airport (generally the larger airports) is obtained from “Table 

7” provided by the United States Department of Transportation, Office of Airline 

Information. This provided the number of LTO’s for each aircraft model per year per 

airport. 

Table 2. Sample from “Table 7.” This is the all community total of aircraft models for 

the Akron/Canton area. “All Service” departures were used as the number of LTOs per 

year for that model. Listed in the original table are aircraft model by airport and number 

of services/LTOs. 

 
49

TOTAL DEPARTURES PERFORMD

Aircraft Scheduled Non-Sched All 

Model Service Service Service 

A-318 1 1 

A319 384 384 

BOEING 717-200 3850 3850 

BOEING 727-100 1 1 

BOEING 727-200 5 5 

BOEING 737-100/200 74 74 

BOEING 737-200C 3 3 6 

BOEING 737-300 2 2 

BOEING 737-700/LR 212 212 

BOEING 737-800 5 5 

BOEING 757-200 4 4 

BOEING 767-300/ER 4 4 

CANADAIR RJ-100/ER 542 3 545 

CANADAIR RJ-700 2881 2881 

CONVAIR CV-580 3 3 

DASSAULT FALCON 7 7 

DHC8-100 DASH 8 2 2 

DOUGLAS DC-9-15F 13 13 

DOUGLAS DC-9-30 6 6 

EMBRAER-145 144 144 

RJ-200ER/RJ-440 5519 5519 

SAAB-FAIRCHD 340/B 1804 1804 

ALL TYPES 15342 130 15472 

IV. Emission Factors: 

 Where there was specific aircraft model data the emission factors were derived 

using the FAA’s Emission Dispersion Modeling System (EDMS). EDMS is a combined 

emissions and dispersion model for assessing air quality at civilian airports and military 

air bases. The model was developed by the Federal Aviation Administration (FAA) in 

cooperation with the United States Air Force (USAF). The model is used to produce an 

inventory of emissions generated by sources on and around the airport or air base, and 

to calculate pollutant concentrations in these environments. 
50

Table 5-2 EDMS Aircraft Emissions 

Emissions provided by Michigan Department of Environmental Quality. (The few 

aircraft in Ohio not included in the table had emissions derived by EDMS 5.0 in-house.) 

EDMS Aircraft Emissions/LTO by Aircraft Type 

EDMS 4.5 Emissions Inventory Report of 2005 Aircraft Inventory Emissions Factors

 

Year 2005 Lbs Emitted Per LTO 

Aircraft Type CO NOx HC VOC SO2 PM2.5 PM10 

A- 318 19.8 18.7 4.0 4.4 1.5 0.0 0.0 

A-300-600/R/CF/RCF 27.1 56.4 2.0 2.2 4.0 0.2 0.2 

A-300B/C/F-100/200 30.2 52.5 3.5 3.7 3.3 0.2 0.2 

A-310-200C/F 32.6 52.5 7.3 7.9 3.3 0.2 0.2 

A-319 19.8 18.7 4.0 4.4 1.5 0.0 0.0 

A320-100/200 13.7 19.8 1.3 1.3 1.8 0.2 0.2 

A-321 16.8 36.8 3.1 3.3 2.2 0.0 0.0 

A-330-200 29.8 61.5 0.4 0.4 4.4 0.2 0.2 

AVROLINER RJ85 24.7 9.5 2.9 3.3 1.3 0.2 0.2 

BAE-146-300 24.7 9.0 3.1 3.3 1.3 0.2 0.2 

BEECH 1900 A/B/C 11.0 1.1 3.3 3.5 0.2 0.0 0.0 

BEECH KINGAIR C90 1.8 0.9 0.2 0.2 0.2 0.0 0.0 

717-200 11.7 23.4 0.0 0.0 1.5 0.0 0.0 

727-100 21.4 23.1 4.6 5.1 2.9 0.4 0.4 

727-100C/QC 44.5 19.8 4.6 5.1 2.4 1.1 1.1 

727-200 19.6 27.3 2.9 3.1 3.3 1.1 1.1 

737-100/200 14.1 16.1 2.2 2.4 2.0 0.7 0.7 

737-200C 13.9 17.4 6.8 7.5 2.0 0.9 0.9 

737-300 28.7 15.9 1.8 2.0 1.8 0.0 0.0 

737-400 26.5 18.5 1.5 1.5 1.8 0.0 0.0 

737-500 24.7 21.2 1.3 1.3 2.0 0.0 0.0 

737-700/LR 17.6 20.1 2.0 2.0 1.8 0.4 0.4 

737-800 15.7 27.1 1.5 1.8 2.0 0.7 0.7 

737-900 15.7 27.1 1.5 1.8 2.0 0.7 0.7 

747-100 252.6 108.5 106.7 116.8 7.1 0.4 0.4 

747-200/300 60.6 104.7 7.1 7.7 6.8 0.7 0.7 

747-400 67.0 105.6 5.7 6.4 7.3 0.7 0.7 

757-200 24.7 35.7 2.0 2.2 2.6 0.4 0.4 

757-300 27.1 33.1 0.4 0.4 3.1 0.2 0.2 

767-200/ER 32.6 52.5 7.3 7.9 3.3 0.2 0.2 

767-300/ER 32.0 62.2 2.6 2.9 4.0 0.4 0.4 

777 32.8 85.1 5.1 5.7 4.4 0.4 0.4 

CANADAIR RJ100/ER 16.3 4.9 1.5 1.8 0.7 0.0 0.0 

CANADAIR RJ-700 12.6 9.3 0.0 0.0 1.1 0.0 0.0 

CESSNA 208 1.1 0.4 0.0 0.0 0.0 0.0 0.0 

CONVAIR CV-580 36.2 0.9 8.8 9.5 0.7 0.0 0.0 

DASSAULT FALCON 13.7 2.6 2.4 2.6 0.2 0.0 0.0 

DHC8-100 DASH 8 5.1 3.1 0.0 0.0 0.4 0.0 0.0 

DORNIER 328 JET 1.3 6.6 11.9 12.6 0.7 0.0 0.0 

DOUGLAS DC-10-10 102.5 76.7 38.6 42.1 4.2 0.0 0.0 

DOUGLAS DC-10-30 45.4 78.7 5.3 5.7 5.1 0.4 0.4 
51

DOUGLAS DC-10-40 131.8 81.8 30.2 33.1 6.0 0.7 0.7 

DOUGLAS DC-8-63 263.5 25.6 219.1 239.9 4.2 5.1 5.1 

DOUGLAS DC-8-71 53.6 34.6 3.1 3.3 3.7 0.0 0.0 

DOUGLAS DC-8-73 53.6 34.6 3.1 3.3 3.7 0.0 0.0 

DOUGLAS DC-9-10 14.1 14.6 3.7 4.0 1.8 0.2 0.2 

DOUGLAS DC-9-15F 14.1 14.6 3.7 4.0 1.8 0.2 0.2 

DOUGLAS DC-9-30 14.1 14.6 3.7 4.0 1.8 0.2 0.2 

DOUGLAS DC-9-40 39.7 16.5 10.8 11.9 2.0 1.3 1.3 

DOUGLAS DC-9-50 12.6 20.1 1.8 1.8 2.2 0.9 0.9 

EMBRAER-135 12.8 5.5 1.1 1.3 0.7 0.0 0.0 

EMBRAER-140 13.7 6.0 1.3 1.3 0.7 0.0 0.0 

EMBRAER-145 6.4 6.8 1.1 1.1 0.7 0.0 0.0 

EMBRAER-170 9.0 9.7 0.0 0.0 1.1 0.0 0.0 

F28-4000/6000 76.7 10.4 77.2 84.4 1.5 0.0 0.0 

JETSTREAM 41 4.6 2.0 0.4 0.7 0.2 0.0 0.0 

L-101101/100/200 33.3 112.0 6.2 6.8 5.7 1.3 1.3 

LEAR-25 75.2 0.7 7.9 8.4 0.2 0.0 0.0 

LOCKHEED L100-30 48.7 9.9 19.6 21.4 1.8 0.0 0.0 

MD-11 47.8 93.3 4.0 4.4 6.0 0.7 0.7 

MD-80, 1, 2, 3, 7, 8 16.3 20.3 0.0 0.0 2.2 0.2 0.2 

MD-90 12.1 23.8 0.2 0.2 2.0 0.2 0.2 

RJ-200ER/RJ-440 16.3 4.9 1.5 1.8 0.7 0.0 0.0 

SAAB-FAIRCHD 340/B 4.2 1.5 1.5 1.5 0.2 0.0 0.0 

NOTE: Where specific aircraft model data was not available fleet emissions were used. 

EPA default fleet average emission factors were taken from “Documentation for Aircraft, 

Commercial Marine Vessel, ,Locomotive, and Other Non-road Components of the 

National Emissions Inventory. 2005, see Appendix A, Aircraft Emission Estimation 

Methodology.” Specific model LTOs were subtracted from county LTO totals to 

eliminate double counting those LTOs. 

Table 5-3 Fleet Emission Factor Categories 

Fleet emission factors were broken down into three categories. Itinerant General, Local 

General, and Military. 

Table 5-3a Fleet Average Emission Factors for Itinerant General Aircraft. 

(Taken from : Table A-5) 

Pollutant Emission Factors (lbs/LTO) 

HC 1.234 

NOx 0.158 

CO 28.13 

SOx 0.015 

PM10 0.60333 

Note: Air taxi HC emissions * VOC/HC (0.9914) conversion factor = air taxi VOC estimate

 
52

Table 5-3b Fleet Average Emission Factors for Local General Aircraft. 

(Taken From: Table A-11) 

Pollutant Emission Factors (lbs/LTO) 

HC 0.394 

NOx 0.065 

CO 12.014 

SOx 0.01 

PM10 0.2367 

Note: GA HC emissions * VOC/HC(0.9708) conversion factor = GA VOC estimate 

Table 5-3c Fleet Average Emission Factors for Military Aircraft. 

(Taken from: Table A-17) 

Pollutant Emission Factors (lbs/LTO

HC 1.234 

NOx 0.158 

CO 28.13 

SOx 0.015 

PM10 0.60333 

Note: Military HC emissions * VOC/HC(1.1046) conversion factor = Military VOC estimate 

METHODOLOGY 

Introduction 

The following information was considered in the development of emission estimates: 

1. Commercial scheduled and non-scheduled aircraft air carrier activity and 

commercial air freight activity by aircraft model types, 

2. General aviation and air taxi annual local and itinerant operations for year 2005, 

3. Military annual local and itinerant operations for year 2005. 

Due to the need to have aircraft operations information expressed as landing/take off 

(LTO) cycles, the following assumptions were made: 

1. For commercial aircraft and commercial air freight activity, the number of annual 

aircraft annual LTO cycles was assumed to be equal to the number of 
53

departures. The daily LTO cycle frequency was then obtained by dividing the 

yearly LTO cycles by 365. 

 

2. For general aircraft annual local and itinerant airport operations, each respective 

operations total was divided by 2 to obtain the corresponding year local and 

itinerant LTO cycles. The expected daily local and itinerant LTO cycles then 

were obtained by dividing these annual totals by 365. 

3. For military annual local and itinerant operations, each respective operations total 

was divided by 2 to obtain the corresponding year local and itinerant LTO cycles. 

The expected military daily local and itinerant LTO cycles then were obtained by 

dividing these annual totals by 365. 

Airport LTO cycles were further categorized into commercial aircraft by plane and 

engine type, general aviation itinerant aircraft of unknown aircraft type, general aviation 

local aircraft of unknown aircraft type, and military aircraft. This was necessary in order 

to utilize the U.S. Department of Transportation, Federal Aviation Administration EDMS 

Emissions and Dispersion Modeling System. Commercial and air freight aircraft 

emission factors per LTO cycle were determined using EDMS for each commercial 

aircraft type models where possible were used at each towered airport. Default 

commercial aircraft engine type, and Environmental Protection Agency (EPA) default 

time in mode values for takeoff, approach, and landing roll times were used in the 

EDMS model simulations. 

For those aircraft types that could not be determined using the EDMS emissions model, 

aircraft emission factors based upon EPA alternative fleet average procedures were 

then used to estimate their emissions. These included general aviation and air taxi 

itinerant aircraft of unknown aircraft type, general aviation local aircraft of unknown 

aircraft type, and military aircraft. Conversion from total hydrocarbons to volatile organic 

compounds was performed and based upon the EPA guidance. 

APPROACH 

1. A list of more than 90% of the airports was obtained from the Ohio Department of 

Transportation. These were classed by airport, county, aircraft flight classification, and 

the total number of operations per year. 

2. The number of operations (a landing or a take off) were then divided by two giving 

the number of LTOs per year per airport. These airports were combined by county for 

the total number of LTOs per year, per county. 

3. In dialog with ODOT it was determined that the following Ohio flight groups of aircraft 

be combined to match the three categories used by the USEPA in calculating 

emissions. 
54

Itinerant (General, air carrier, commuter, air taxi, general aviation itinerant) 

Local (General aviation local) 

Military (Military) 

4. LTOs for specific models of aircraft per airport were taken from the FAA Table 7. 

See Table 2 above. These were then combined to give the number of LTOs per aircraft 

model per county. Specific model LTOs were subtracted from county totals to avoid 

double counting those LTOs. 

5. Emission factors were determined from the FAA’s EDMS program for specific aircraft 

model and engine type. See IV. Emission factors above. The aircraft emission table 

provided by Michigan has the emission factors for most of the aircraft flown in Ohio. . 

Where specific aircraft model data was not available USEPA average fleet emissions 

were used. 

6. Emission factors times LTOs by county yielded tons per year per county. 

Table 5-4 Pollutant by County (Sample)

County POLLUTANT ACTIVITY(LTOS/YEAR) ACTIVITY(LTOS/DAY) EMISSIONS(TON/YEAR) 

ADAMS CO 2605 7.136986 24.552325 

ADAMS HC 2605 7.136986 0.977285 

ADAMS NOX 2605 7.136986 0.136045 

ADAMS PM10-PRI 2605 7.136986 0.513114825 

ADAMS PM25-PRI 2605 7.136986 0 

ADAMS SOX 2605 7.136986 0.0157875 

ADAMS VOC 2605 7.136986 0.96314234 

ALLEN CO 16250 44.52055 147.945065 

ALLEN HC 16250 44.52055 5.841097 

ALLEN NOX 16250 44.52055 0.827189 

ALLEN PM10-PRI 16250 44.52055 3.081191265 

ALLEN PM25-PRI 16250 44.52055 0 

ALLEN SOX 16250 44.52055 0.0984575 

ALLEN VOC 16250 44.52055 5.769568254 

ASHLAND CO 24620 67.45205 173.67794 

ASHLAND HC 24620 67.45205 6.19414 

ASHLAND NOX 24620 67.45205 0.94895 

ASHLAND PM10-PRI 24620 67.45205 3.532515 

ASHLAND PM25-PRI 24620 67.45205 0 

ASHLAND SOX 24620 67.45205 0.1311 

ASHLAND VOC 24620 67.45205 6.07175247 

ASHTABULA CO 8863 24.28219 78.115087 

ASHTABULA HC 8863 24.28219 3.042551 

ASHTABULA NOX 8863 24.28219 0.431593 
55

ASHTABULA PM10-PRI 8863 24.28219 1.623493455 

ASHTABULA PM25-PRI 8863 24.28219 0 

ASHTABULA SOX 8863 24.28219 0.0520325 

ASHTABULA VOC 8863 24.28219 2.99420213 

ATHENS CO 25800 70.68493 196.874985 

ATHENS HC 25800 70.68493 7.267183 

ATHENS NOX 25800 70.68493 1.081521 

ATHENS PM10-PRI 25800 70.68493 4.037266335 

ATHENS PM25-PRI 25800 70.68493 0 

ATHENS SOX 25800 70.68493 0.1420925 

ATHENS VOC 25800 70.68493 7.128180006 

7. Emissions were then summed by pollutants in each county by SCC aircraft category 

type so data could be provided to LADCO in the EPA prescribed NEI – NIF format. 

DATA ERROR 

The first aircraft emission inventory submitted to LADCO in April, 2007 contained an 

error. The inventory submitted in May, 2007 has the error corrected. The error was the 

result of a carry-over function in Access that picked up the number of operations as 

instead of LTOs....which made the inventory exactly twice as large as what it really was. 

ACCESS CALCULATOR 

Introduction: 

Our database programmer set up Access application to calculate Ohio’s aircraft 

emission inventory, and export those results to Excel. His utility allows for easy 

modification of the aircraft data to match future data scenarios. Output to Excel also 

allows for additional data manipulation and importation. 
56

Interface: 

Through this interface the following sets of data can be edited/updated: Airport activity, 

emission factors, specific airport emissions, state/county FIPS, detailed aircraft 

information, airport information, and aircraft SCCs. Once the final emissions have been 

calculated and summed, then the data can be export via the export function on the Main 

Menu. 
APPENDIX C

Mobile Source Emission Inventory
Mobile Source Emissions Inventory 

for Cincinnati PM2.5 Nonattainment 

Area 

Includes a portion of Dearborn County, Indiana, the counties of Boone, Campbell, 

Kenton in Kentucky, and the counties of Butler, Clermont, Hamilton, and Warren in 

Ohio. Emission estimates for the Year 2005, 2008, 2011, 2015, 2018, and 2021 

developed in support of the PM2.5 State Implementation Plan 

August 2010 (text revised Dec 2010) 

Prepared for the Indiana Department of Environmental Management, the Kentucky Division 

for Air Quality and the Ohio Environmental Protection Agency by 

OKI Regional Council of Governments

Acknowledgments 

Title Mobile Source Emissions Inventory for Cincinnati PM2.5 Nonattainment 

Area 

Abstract This report was prepared for the Indiana Department of Environmental 

Management, the Kentucky Division for Air Quality and the Ohio 

Environmental Protection Agency. The Cincinnati PM2.5 nonattainment 

area includes a portion of Dearborn County Indiana, the counties of Boone, 

Campbell, Kenton in Kentucky, and the counties of Butler, Clermont, 

Hamilton, and Warren in Ohio. This report includes emission estimates for 

the years 2005, 2008, 2011, 2015, 2018 and 2021 was generated to support 

the attainment SIPs for the annual PM2.5 standard. EPA’s Motor Vehicle 

Emission Simulation (MOVES) 2010 was used to generate the emission 

rates. 

Date August 2010 

Agency Ohio-Kentucky-Indiana Regional Council of Governments 

 Mark Policinski, Executive Director 

 Robert Koehler, P.E., Deputy Director 

 

Project Manager Andrew J. Reser, AICP 

Project Staff Harikishan Perugu, PTP 

 Larry Buckler 

 

 

The preparation of this document was financed cooperatively by the Federal Highway Administration, 

the Federal Transit Administration, the Commonwealth of Kentucky Transportation Cabinet, the Ohio 

Department of Transportation, and the units of local and county government in the OKI region. The 

opinions, findings, and conclusions expressed in this document are those of the OKI Regional Council of 

Governments and are not necessarily those of the U.S. Department of Transportation. This report does 

not constitute a standard, specification, or regulation. 

MOBILE Source Emissions Inventory for the 

Cincinnati PM2.5 nonattainment area 

This report was prepared for the Indiana Department of Environmental Management, the Kentucky 

Division for Air Quality and the Ohio Environmental Protection Agency. The Cincinnati PM2.5 

nonattainment area includes a portion of Dearborn County Indiana, the counties of Boone, Campbell, 

Kenton in Kentucky, and the counties of Butler, Clermont, Hamilton, and Warren in Ohio. This report 

includes emission estimates for the years 2005, 2008, 2011, 2015, 2018 and 2021 was generated to 

support the attainment SIPs for the annual PM2.5 standard. EPA’s Motor Vehicle Emissions Simulator 

(MOVES) 2010 model was used to generate the vehicle emission rates. In December 2009, MOVES 

replaced MOBILE6.2 as the EPA’s official emission factor model. Technical details on OKI’s use of 

MOVES can be found in the Appendix. The OKI travel demand model version 7.6 was used to generate 

VMT and speed estimates. MOVES emission rates were generated for direct PM2.5, PM2.5 tirewear, 

PM2.5 brakewear, NOx

 and SO2. 

OKI, as the MPO, is responsible for transportation planning and air quality/transportation conformity.

Transportation conformity is a mechanism to ensure that federal funding and approval are given to 

those transportation activities that are consistent with the air quality goals of the State Implementation 

Plans (SIPs) for Indiana, Kentucky and Ohio. The SIPs include an inventory of projected emissions from 

vehicles. One or more of the analysis years in the projected inventory may be designated as the motor

vehicle emissions budget (MVEB). This budget establishes a maximum allowable limit on future 

emissions from vehicles (mobile sources). OKI’s transportation plans and programs must be shown to 

be in conformity with all SIP provisions. The conformity process is a quantitative analysis, using 

U.S.EPA’s vehicle emissions software (currently MOVES), demonstrating that forecasted regional vehicle

emissions do not exceed the established budget. 

Table 1 shows daily and annual mobile source emissions for the combined Indiana and Ohio portions of 

the nonattainment area, as well as the Kentucky portion of the nonattainment area. Separate MVEB’s 

are typically designated for these two areas. Although official federal guidance on the use of MOVES for 

PM2.5 SIP development was not available at the time of this analysis, the Federal Highway 

Administration (FHWA) along with state and local air quality staff were consulted periodically 

throughout the development of these emissions. An additional safety margin should be added to the 

MVEB’s due uncertainty with growth assumptions utilized in the OKI travel demand model and 

uncertainty regarding the use of MOVES. Daily and annual mobile source emissions for each county in 

the nonattainment area are shown in Table 2. 
Table 1. Mobile Source Emissions for the Cincinnati PM2.5 Nonattainment Area (tons)

Year Pollutant Name DailyEmissions AnnualEmissions

Kentucky Portion of NA Area

2005 Vehicle Population: 364,081 Daily VMT: 9,621,110 Annual VMT: 3,289,109,202

Oxides of Nitrogen 39.10 13,496.54

Primary Exhaust PM2.5 - Total 1.36 466.23

Primary PM2.5 - Brakewear Particulate 0.16 54.04

Primary PM2.5 - Tirewear Particulate 0.05 17.52

Sulfur Dioxide (SO2) 0.12 41.46

2008 Vehicle Population: 375,873 Daily VMT: 9,991,179 Annual VMT: 3,425,339,505

Oxides of Nitrogen 37.91 13,114.20

Primary Exhaust PM2.5 - Total 1.64 562.84

Primary PM2.5 - Brakewear Particulate 0.18 62.10

Primary PM2.5 - Tirewear Particulate 0.06 20.70

Sulfur Dioxide (SO2) 0.12 42.74

2011 Vehicle Population: 381,911 Daily VMT: 10,490,143 Annual VMT: 3,587,796,186

Oxides of Nitrogen 29.33 10,141.52

Primary Exhaust PM2.5 - Total 1.19 407.74

Primary PM2.5 - Brakewear Particulate 0.20 68.38

Primary PM2.5 - Tirewear Particulate 0.07 22.68

Sulfur Dioxide (SO2) 0.13 45.36

2015 Vehicle Population: 394,278 Daily VMT: 11,495,496 Annual VMT: 3,931,385,741

Oxides of Nitrogen 20.18 6,996.21

Primary Exhaust PM2.5 - Total 0.78 267.30

Primary PM2.5 - Brakewear Particulate 0.23 77.94

Primary PM2.5 - Tirewear Particulate 0.08 25.88

Sulfur Dioxide (SO2) 0.15 50.50

2018 Vehicle Population: 403,817 Daily VMT: 12,173,549 Annual VMT: 4,163,203,435

Oxides of Nitrogen 15.78 5,480.81

Primary Exhaust PM2.5 - Total 0.59 202.15

Primary PM2.5 - Brakewear Particulate 0.27 91.15

Primary PM2.5 - Tirewear Particulate 0.09 30.09

Sulfur Dioxide (SO2) 0.16 56.28

2021 Vehicle Population: 413,587 Daily VMT: 12,534,236 Annual VMT: 4,286,834,360

Oxides of Nitrogen 12.75 4,435.96

Primary Exhaust PM2.5 - Total 0.43 146.79

Primary PM2.5 - Brakewear Particulate 0.28 96.84

Primary PM2.5 - Tirewear Particulate 0.09 31.74

Sulfur Dioxide (SO2) 0.17 58.63

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 1 of 2
Year Pollutant Name DailyEmissions AnnualEmissions

Ohio/Indiana Portion of NA Area

2005 Vehicle Population: 1,754,582 Daily VMT: 39,564,030 Annual VMT: 13,541,324,003

Oxides of Nitrogen 168.89 58,423.36

Primary Exhaust PM2.5 - Total 5.74 1,979.63

Primary PM2.5 - Brakewear Particulate 0.65 223.20

Primary PM2.5 - Tirewear Particulate 0.20 69.67

Sulfur Dioxide (SO2) 0.48 165.35

2008 Vehicle Population: 1,811,406 Daily VMT: 40,858,751 Annual VMT: 14,015,754,874

Oxides of Nitrogen 148.02 51,357.02

Primary Exhaust PM2.5 - Total 4.85 1,675.04

Primary PM2.5 - Brakewear Particulate 0.80 273.84

Primary PM2.5 - Tirewear Particulate 0.25 85.37

Sulfur Dioxide (SO2) 0.54 185.13

2011 Vehicle Population: 1,840,505 Daily VMT: 42,044,841 Annual VMT: 14,383,526,419

Oxides of Nitrogen 135.95 47,061.53

Primary Exhaust PM2.5 - Total 5.54 1,904.61

Primary PM2.5 - Brakewear Particulate 0.85 290.00

Primary PM2.5 - Tirewear Particulate 0.27 91.52

Sulfur Dioxide (SO2) 0.53 182.01

2015 Vehicle Population: 1,900,111 Daily VMT: 43,316,281 Annual VMT: 14,830,453,053

Oxides of Nitrogen 89.45 31,064.21

Primary Exhaust PM2.5 - Total 3.57 1,227.86

Primary PM2.5 - Brakewear Particulate 0.82 280.25

Primary PM2.5 - Tirewear Particulate 0.26 90.54

Sulfur Dioxide (SO2) 0.53 182.69

2018 Vehicle Population: 1,946,080 Daily VMT: 45,314,292 Annual VMT: 15,513,701,656

Oxides of Nitrogen 70.34 24,451.43

Primary Exhaust PM2.5 - Total 2.78 958.57

Primary PM2.5 - Brakewear Particulate 0.90 307.39

Primary PM2.5 - Tirewear Particulate 0.29 99.03

Sulfur Dioxide (SO2) 0.57 195.09

2021 Vehicle Population: 1,993,161 Daily VMT: 46,689,707 Annual VMT: 15,521,916,278

Oxides of Nitrogen 55.50 18,911.05

Primary Exhaust PM2.5 - Total 2.10 705.30

Primary PM2.5 - Brakewear Particulate 0.96 320.17

Primary PM2.5 - Tirewear Particulate 0.31 102.89

Sulfur Dioxide (SO2) 0.60 199.14

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 2 of 2
Table 2. Mobile Source Emissions by County for the Cincinnati PM2.5 Nonattainment Area (tons)

County Year Pollutant Name DailyEmissions AnnualEmissions

Indiana

Dearborn NA

2005 Vehicle Population: 24,915 Daily VMT: 578,642 Annual VMT: 196,738,031

Oxides of Nitrogen 2.40 865.46

Primary Exhaust PM2.5 - Total 0.08 29.68

Primary PM2.5 - Brakewear Particulate 0.01 3.28

Primary PM2.5 - Tirewear Particulate 0.00 1.02

Sulfur Dioxide (SO2) 0.01 2.45

2008 Vehicle Population: 25,722 Daily VMT: 587,583 Annual VMT: 199,778,078

Oxides of Nitrogen 2.09 748.81

Primary Exhaust PM2.5 - Total 0.07 24.72

Primary PM2.5 - Brakewear Particulate 0.01 3.94

Primary PM2.5 - Tirewear Particulate 0.00 1.23

Sulfur Dioxide (SO2) 0.01 2.69

2011 Vehicle Population: 26,135 Daily VMT: 605,621 Annual VMT: 205,911,005

Oxides of Nitrogen 1.92 685.40

Primary Exhaust PM2.5 - Total 0.08 27.88

Primary PM2.5 - Brakewear Particulate 0.01 4.19

Primary PM2.5 - Tirewear Particulate 0.00 1.32

Sulfur Dioxide (SO2) 0.01 2.65

2015 Vehicle Population: 26,982 Daily VMT: 657,779 Annual VMT: 223,644,622

Oxides of Nitrogen 1.31 482.33

Primary Exhaust PM2.5 - Total 0.05 19.43

Primary PM2.5 - Brakewear Particulate 0.01 4.32

Primary PM2.5 - Tirewear Particulate 0.00 1.39

Sulfur Dioxide (SO2) 0.01 2.87

2018 Vehicle Population: 27,635 Daily VMT: 684,362 Annual VMT: 232,682,971

Oxides of Nitrogen 1.03 376.85

Primary Exhaust PM2.5 - Total 0.04 15.09

Primary PM2.5 - Brakewear Particulate 0.01 4.70

Primary PM2.5 - Tirewear Particulate 0.00 1.51

Sulfur Dioxide (SO2) 0.01 3.04

2021 Vehicle Population: 28,303 Daily VMT: 706,829 Annual VMT: 240,321,759

Oxides of Nitrogen 0.81 297.95

Primary Exhaust PM2.5 - Total 0.03 11.44

Primary PM2.5 - Brakewear Particulate 0.01 5.05

Primary PM2.5 - Tirewear Particulate 0.00 1.62

Sulfur Dioxide (SO2) 0.01 3.19

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 1 of 8
County Year Pollutant Name DailyEmissions AnnualEmissions

Kentucky

Boone

2005 Vehicle Population: 129,823 Daily VMT: 3,924,117 Annual VMT: 1,273,226,967

Oxides of Nitrogen 14.94 5,126.88

Primary Exhaust PM2.5 - Total 0.52 177.58

Primary PM2.5 - Brakewear Particulate 0.06 20.86

Primary PM2.5 - Tirewear Particulate 0.02 6.77

Sulfur Dioxide (SO2) 0.05 15.91

2008 Vehicle Population: 134,028 Daily VMT: 4,076,584 Annual VMT: 1,350,001,539

Oxides of Nitrogen 14.73 5,067.94

Primary Exhaust PM2.5 - Total 0.64 219.29

Primary PM2.5 - Brakewear Particulate 0.07 24.42

Primary PM2.5 - Tirewear Particulate 0.02 8.14

Sulfur Dioxide (SO2) 0.05 16.71

2011 Vehicle Population: 136,181 Daily VMT: 4,383,716 Annual VMT: 1,448,879,491

Oxides of Nitrogen 11.61 3,990.01

Primary Exhaust PM2.5 - Total 0.48 162.47

Primary PM2.5 - Brakewear Particulate 0.08 27.55

Primary PM2.5 - Tirewear Particulate 0.03 9.14

Sulfur Dioxide (SO2) 0.05 18.16

2015 Vehicle Population: 140,590 Daily VMT: 4,950,741 Annual VMT: 1,628,041,282

Oxides of Nitrogen 8.11 2,788.45

Primary Exhaust PM2.5 - Total 0.32 108.49

Primary PM2.5 - Brakewear Particulate 0.09 32.17

Primary PM2.5 - Tirewear Particulate 0.03 10.69

Sulfur Dioxide (SO2) 0.06 20.67

2018 Vehicle Population: 143,991 Daily VMT: 5,260,102 Annual VMT: 1,729,595,156

Oxides of Nitrogen 6.34 2,182.28

Primary Exhaust PM2.5 - Total 0.24 82.19

Primary PM2.5 - Brakewear Particulate 0.11 37.76

Primary PM2.5 - Tirewear Particulate 0.04 12.47

Sulfur Dioxide (SO2) 0.07 23.14

2021 Vehicle Population: 147,476 Daily VMT: 5,478,224 Annual VMT: 1,800,571,684

Oxides of Nitrogen 5.14 1,772.72

Primary Exhaust PM2.5 - Total 0.18 60.19

Primary PM2.5 - Brakewear Particulate 0.12 40.56

Primary PM2.5 - Tirewear Particulate 0.04 13.30

Sulfur Dioxide (SO2) 0.07 24.37

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 2 of 8
County Year Pollutant Name DailyEmissions AnnualEmissions

Campbell

2005 Vehicle Population: 86,065 Daily VMT: 2,286,217 Annual VMT: 741,790,595

Oxides of Nitrogen 8.87 3,041.21

Primary Exhaust PM2.5 - Total 0.31 104.22

Primary PM2.5 - Brakewear Particulate 0.04 12.14

Primary PM2.5 - Tirewear Particulate 0.01 3.94

Sulfur Dioxide (SO2) 0.03 9.30

2008 Vehicle Population: 88,853 Daily VMT: 2,339,542 Annual VMT: 774,762,718

Oxides of Nitrogen 8.63 2,988.33

Primary Exhaust PM2.5 - Total 0.37 127.73

Primary PM2.5 - Brakewear Particulate 0.04 14.05

Primary PM2.5 - Tirewear Particulate 0.01 4.68

Sulfur Dioxide (SO2) 0.03 9.69

2011 Vehicle Population: 90,279 Daily VMT: 2,421,600 Annual VMT: 800,372,692

Oxides of Nitrogen 6.61 2,287.81

Primary Exhaust PM2.5 - Total 0.27 91.36

Primary PM2.5 - Brakewear Particulate 0.04 15.26

Primary PM2.5 - Tirewear Particulate 0.01 5.06

Sulfur Dioxide (SO2) 0.03 10.15

2015 Vehicle Population: 93,204 Daily VMT: 2,663,159 Annual VMT: 875,774,487

Oxides of Nitrogen 4.55 1,570.14

Primary Exhaust PM2.5 - Total 0.17 59.30

Primary PM2.5 - Brakewear Particulate 0.05 17.31

Primary PM2.5 - Tirewear Particulate 0.02 5.75

Sulfur Dioxide (SO2) 0.03 11.21

2018 Vehicle Population: 95,458 Daily VMT: 2,771,476 Annual VMT: 911,300,097

Oxides of Nitrogen 3.52 1,216.21

Primary Exhaust PM2.5 - Total 0.13 44.14

Primary PM2.5 - Brakewear Particulate 0.06 19.90

Primary PM2.5 - Tirewear Particulate 0.02 6.57

Sulfur Dioxide (SO2) 0.04 12.28

2021 Vehicle Population: 97,768 Daily VMT: 2,849,127 Annual VMT: 936,445,352

Oxides of Nitrogen 2.84 985.28

Primary Exhaust PM2.5 - Total 0.09 32.07

Primary PM2.5 - Brakewear Particulate 0.06 21.10

Primary PM2.5 - Tirewear Particulate 0.02 6.92

Sulfur Dioxide (SO2) 0.04 12.77

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 3 of 8
County Year Pollutant Name DailyEmissions AnnualEmissions

Kenton

2005 Vehicle Population: 148,193 Daily VMT: 3,927,743 Annual VMT: 1,274,091,641

Oxides of Nitrogen 15.29 5,328.44

Primary Exhaust PM2.5 - Total 0.53 184.43

Primary PM2.5 - Brakewear Particulate 0.06 21.04

Primary PM2.5 - Tirewear Particulate 0.02 6.82

Sulfur Dioxide (SO2) 0.05 16.24

2008 Vehicle Population: 152,992 Daily VMT: 3,927,332 Annual VMT: 1,300,575,248

Oxides of Nitrogen 14.55 5,057.93

Primary Exhaust PM2.5 - Total 0.62 215.81

Primary PM2.5 - Brakewear Particulate 0.07 23.63

Primary PM2.5 - Tirewear Particulate 0.02 7.87

Sulfur Dioxide (SO2) 0.05 16.34

2011 Vehicle Population: 155,451 Daily VMT: 4,049,886 Annual VMT: 1,338,544,003

Oxides of Nitrogen 11.11 3,863.70

Primary Exhaust PM2.5 - Total 0.45 153.90

Primary PM2.5 - Brakewear Particulate 0.07 25.57

Primary PM2.5 - Tirewear Particulate 0.02 8.48

Sulfur Dioxide (SO2) 0.05 17.05

2015 Vehicle Population: 160,484 Daily VMT: 4,341,124 Annual VMT: 1,427,569,972

Oxides of Nitrogen 7.51 2,637.63

Primary Exhaust PM2.5 - Total 0.29 99.51

Primary PM2.5 - Brakewear Particulate 0.08 28.45

Primary PM2.5 - Tirewear Particulate 0.03 9.44

Sulfur Dioxide (SO2) 0.05 18.62

2018 Vehicle Population: 164,368 Daily VMT: 4,629,694 Annual VMT: 1,522,308,182

Oxides of Nitrogen 5.93 2,082.32

Primary Exhaust PM2.5 - Total 0.22 75.82

Primary PM2.5 - Brakewear Particulate 0.10 33.49

Primary PM2.5 - Tirewear Particulate 0.03 11.04

Sulfur Dioxide (SO2) 0.06 20.86

2021 Vehicle Population: 168,343 Daily VMT: 4,715,306 Annual VMT: 1,549,817,325

Oxides of Nitrogen 4.76 1,677.96

Primary Exhaust PM2.5 - Total 0.16 54.53

Primary PM2.5 - Brakewear Particulate 0.10 35.19

Primary PM2.5 - Tirewear Particulate 0.03 11.52

Sulfur Dioxide (SO2) 0.06 21.48

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 4 of 8
County Year Pollutant Name DailyEmissions AnnualEmissions

Ohio

Butler

2005 Vehicle Population: 401,759 Daily VMT: 7,452,293 Annual VMT: 2,469,168,490

Oxides of Nitrogen 32.00 10,910.37

Primary Exhaust PM2.5 - Total 1.06 361.06

Primary PM2.5 - Brakewear Particulate 0.12 40.31

Primary PM2.5 - Tirewear Particulate 0.04 12.60

Sulfur Dioxide (SO2) 0.09 30.01

2008 Vehicle Population: 414,771 Daily VMT: 7,745,693 Annual VMT: 2,598,061,793

Oxides of Nitrogen 28.56 9,803.70

Primary Exhaust PM2.5 - Total 0.91 311.45

Primary PM2.5 - Brakewear Particulate 0.15 50.45

Primary PM2.5 - Tirewear Particulate 0.05 15.74

Sulfur Dioxide (SO2) 0.10 34.25

2011 Vehicle Population: 421,434 Daily VMT: 8,050,709 Annual VMT: 2,693,718,927

Oxides of Nitrogen 26.50 9,074.89

Primary Exhaust PM2.5 - Total 1.05 356.91

Primary PM2.5 - Brakewear Particulate 0.16 53.99

Primary PM2.5 - Tirewear Particulate 0.05 17.06

Sulfur Dioxide (SO2) 0.10 34.00

2015 Vehicle Population: 435,082 Daily VMT: 8,361,495 Annual VMT: 2,792,190,918

Oxides of Nitrogen 17.64 6,064.61

Primary Exhaust PM2.5 - Total 0.68 231.78

Primary PM2.5 - Brakewear Particulate 0.16 52.42

Primary PM2.5 - Tirewear Particulate 0.05 16.96

Sulfur Dioxide (SO2) 0.10 34.28

2018 Vehicle Population: 445,608 Daily VMT: 8,806,051 Annual VMT: 2,940,852,857

Oxides of Nitrogen 13.98 4,813.27

Primary Exhaust PM2.5 - Total 0.54 182.29

Primary PM2.5 - Brakewear Particulate 0.17 57.91

Primary PM2.5 - Tirewear Particulate 0.06 18.68

Sulfur Dioxide (SO2) 0.11 36.85

2021 Vehicle Population: 456,389 Daily VMT: 9,150,040 Annual VMT: 2,966,040,396

Oxides of Nitrogen 11.13 3,757.91

Primary Exhaust PM2.5 - Total 0.41 135.39

Primary PM2.5 - Brakewear Particulate 0.19 60.81

Primary PM2.5 - Tirewear Particulate 0.06 19.56

Sulfur Dioxide (SO2) 0.12 37.90

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 5 of 8
County Year Pollutant Name DailyEmissions AnnualEmissions

Clermont

2005 Vehicle Population: 232,380 Daily VMT: 5,083,336 Annual VMT: 1,684,261,582

Oxides of Nitrogen 21.21 7,295.87

Primary Exhaust PM2.5 - Total 0.72 245.48

Primary PM2.5 - Brakewear Particulate 0.08 27.67

Primary PM2.5 - Tirewear Particulate 0.03 8.64

Sulfur Dioxide (SO2) 0.06 20.51

2008 Vehicle Population: 239,906 Daily VMT: 5,262,494 Annual VMT: 1,765,146,867

Oxides of Nitrogen 18.81 6,516.40

Primary Exhaust PM2.5 - Total 0.61 211.40

Primary PM2.5 - Brakewear Particulate 0.10 34.46

Primary PM2.5 - Tirewear Particulate 0.03 10.74

Sulfur Dioxide (SO2) 0.07 23.32

2011 Vehicle Population: 243,760 Daily VMT: 5,489,550 Annual VMT: 1,836,770,645

Oxides of Nitrogen 17.48 6,039.51

Primary Exhaust PM2.5 - Total 0.71 243.25

Primary PM2.5 - Brakewear Particulate 0.11 37.00

Primary PM2.5 - Tirewear Particulate 0.03 11.68

Sulfur Dioxide (SO2) 0.07 23.23

2015 Vehicle Population: 251,654 Daily VMT: 5,687,704 Annual VMT: 1,899,319,930

Oxides of Nitrogen 11.54 3,993.63

Primary Exhaust PM2.5 - Total 0.46 156.92

Primary PM2.5 - Brakewear Particulate 0.11 35.82

Primary PM2.5 - Tirewear Particulate 0.03 11.58

Sulfur Dioxide (SO2) 0.07 23.34

2018 Vehicle Population: 257,742 Daily VMT: 5,952,609 Annual VMT: 1,987,922,558

Oxides of Nitrogen 9.09 3,146.47

Primary Exhaust PM2.5 - Total 0.36 122.57

Primary PM2.5 - Brakewear Particulate 0.12 39.31

Primary PM2.5 - Tirewear Particulate 0.04 12.67

Sulfur Dioxide (SO2) 0.07 24.94

2021 Vehicle Population: 263,978 Daily VMT: 6,186,447 Annual VMT: 2,005,373,961

Oxides of Nitrogen 7.22 2,449.31

Primary Exhaust PM2.5 - Total 0.27 90.84

Primary PM2.5 - Brakewear Particulate 0.12 41.28

Primary PM2.5 - Tirewear Particulate 0.04 13.27

Sulfur Dioxide (SO2) 0.08 25.66

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 6 of 8
County Year Pollutant Name DailyEmissions AnnualEmissions

Hamilton

2005 Vehicle Population: 862,422 Daily VMT: 21,859,473 Annual VMT: 7,241,536,812

Oxides of Nitrogen 89.30 31,127.09

Primary Exhaust PM2.5 - Total 3.06 1,064.67

Primary PM2.5 - Brakewear Particulate 0.35 119.94

Primary PM2.5 - Tirewear Particulate 0.11 37.41

Sulfur Dioxide (SO2) 0.26 88.85

2008 Vehicle Population: 890,352 Daily VMT: 22,124,524 Annual VMT: 7,421,012,594

Oxides of Nitrogen 77.45 27,020.93

Primary Exhaust PM2.5 - Total 2.56 889.81

Primary PM2.5 - Brakewear Particulate 0.42 145.42

Primary PM2.5 - Tirewear Particulate 0.13 45.31

Sulfur Dioxide (SO2) 0.28 98.30

2011 Vehicle Population: 904,655 Daily VMT: 22,426,043 Annual VMT: 7,503,619,525

Oxides of Nitrogen 70.18 24,435.59

Primary Exhaust PM2.5 - Total 2.88 997.06

Primary PM2.5 - Brakewear Particulate 0.44 151.73

Primary PM2.5 - Tirewear Particulate 0.14 47.86

Sulfur Dioxide (SO2) 0.28 95.30

2015 Vehicle Population: 933,953 Daily VMT: 22,849,516 Annual VMT: 7,630,239,650

Oxides of Nitrogen 45.58 15,925.19

Primary Exhaust PM2.5 - Total 1.83 634.62

Primary PM2.5 - Brakewear Particulate 0.42 144.67

Primary PM2.5 - Tirewear Particulate 0.14 46.71

Sulfur Dioxide (SO2) 0.27 94.43

2018 Vehicle Population: 956,548 Daily VMT: 23,630,577 Annual VMT: 7,891,625,119

Oxides of Nitrogen 35.51 12,422.37

Primary Exhaust PM2.5 - Total 1.41 490.62

Primary PM2.5 - Brakewear Particulate 0.45 156.90

Primary PM2.5 - Tirewear Particulate 0.15 50.52

Sulfur Dioxide (SO2) 0.29 99.78

2021 Vehicle Population: 979,689 Daily VMT: 24,098,721 Annual VMT: 7,811,745,310

Oxides of Nitrogen 27.80 9,530.16

Primary Exhaust PM2.5 - Total 1.06 357.87

Primary PM2.5 - Brakewear Particulate 0.48 161.69

Primary PM2.5 - Tirewear Particulate 0.15 51.92

Sulfur Dioxide (SO2) 0.30 100.82

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 7 of 8
County Year Pollutant Name DailyEmissions AnnualEmissions

Warren

2005 Vehicle Population: 233,106 Daily VMT: 5,884,222 Annual VMT: 1,949,619,088

Oxides of Nitrogen 23.98 8,224.57

Primary Exhaust PM2.5 - Total 0.82 278.74

Primary PM2.5 - Brakewear Particulate 0.09 32.00

Primary PM2.5 - Tirewear Particulate 0.03 10.00

Sulfur Dioxide (SO2) 0.07 23.54

2008 Vehicle Population: 240,655 Daily VMT: 6,057,344 Annual VMT: 2,031,755,542

Oxides of Nitrogen 21.11 7,267.18

Primary Exhaust PM2.5 - Total 0.69 237.65

Primary PM2.5 - Brakewear Particulate 0.12 39.57

Primary PM2.5 - Tirewear Particulate 0.04 12.34

Sulfur Dioxide (SO2) 0.08 26.57

2011 Vehicle Population: 244,521 Daily VMT: 6,406,290 Annual VMT: 2,143,506,318

Oxides of Nitrogen 19.88 6,826.15

Primary Exhaust PM2.5 - Total 0.82 279.53

Primary PM2.5 - Brakewear Particulate 0.13 43.09

Primary PM2.5 - Tirewear Particulate 0.04 13.60

Sulfur Dioxide (SO2) 0.08 26.83

2015 Vehicle Population: 252,440 Daily VMT: 6,842,835 Annual VMT: 2,285,057,933

Oxides of Nitrogen 13.37 4,598.44

Primary Exhaust PM2.5 - Total 0.54 185.12

Primary PM2.5 - Brakewear Particulate 0.13 43.02

Primary PM2.5 - Tirewear Particulate 0.04 13.91

Sulfur Dioxide (SO2) 0.08 27.77

2018 Vehicle Population: 258,547 Daily VMT: 7,368,042 Annual VMT: 2,460,618,151

Oxides of Nitrogen 10.73 3,692.47

Primary Exhaust PM2.5 - Total 0.43 148.00

Primary PM2.5 - Brakewear Particulate 0.14 48.57

Primary PM2.5 - Tirewear Particulate 0.05 15.66

Sulfur Dioxide (SO2) 0.09 30.49

2021 Vehicle Population: 264,802 Daily VMT: 7,707,508 Annual VMT: 2,498,434,852

Oxides of Nitrogen 8.54 2,875.72

Primary Exhaust PM2.5 - Total 0.33 109.76

Primary PM2.5 - Brakewear Particulate 0.16 51.34

Primary PM2.5 - Tirewear Particulate 0.05 16.51

Sulfur Dioxide (SO2) 0.10 31.58

17-Aug-10 MOVES 2010 and OKI Travel Demand Model v7.6 Page 8 of 8
Mobile Source Emission Forecast Process 

Emission Factor Model 

OKI’s conformity assessment utilized U.S.EPA’s emissions model MOVES 2010 to develop emission 

factors for SO2, NOX and PM2.5. Table 3 summarizes the settings used in the MOVES run specification 

file. Table 4 lists the data used in the MOVES County-Data Manager. Further details on the use of 

MOVES are found in the Appendix. 

Table 3 

MOVES RunSpec Parameter Settings

MOVES Version 2009/05/15, MOVES default 

database 20100515

Scale County, Emission Rates

Time Span Time aggregation = Hour

1 month representing average annual 

temperatures 

All hours of day selected 

Weekdays only 

Geographic Bounds 2 Custom Domains – 4 Ohio counties, 3 Kentucky 

counties 

Vehicles/Equipment All source types, gasoline and diesel

Road Type All road types including off-network

Pollutants and Processes NOx, All PM2.5 categories, SO2, Total Energy 

Consumption 

Strategies Modified AVFT strategy file to reflect 0% CNG 

buses in the transit fleet 

General Output Units= grams, joules and miles

Output Emissions Time = hour, Location =county, on-road emission 

rates by road type and source use type. 

Advanced Performance none

Table 4 

County Data Manager Data Source

Source Type Population Local and default. Local data (2010) from KYTC and ODOT from 

motor vehicle registration data. Default data used for source types 

41, 61 and 62. In addition , default data for source types 31, 32 and 

54 used for KY. 

Vehicle Type VMT Local and default. HPMSVTypeYear VMT=daily VMT from OKI travel 

demand model with EPA’s daily to annual VMT converter applied. 

monthVMTFraction = default. dayVMTFraction=default,

hourVMTFraction=local. 

I/M Programs Default modified to reflect discontinued I/M program
Fuel Formulation Default

Fuel Supply Default

Meteorology Data Local. Kentucky Division for Air Quality.

Ramp Fraction Local. Ramp emissions calculated outside of MOVES

Road Type Distribution Local. OKI travel demand model.

Age Distribution Local and default. Local data (2010) from KYTC and ODOT from 

motor vehicle registration data. Default data used for source types 

41, 61 and 62. In addition , default data for source types 31, 32 and 

54 used for KY. 

Average Speed Distribution Local. OKI travel demand model.

OKI Travel Demand Model 

Transportation system performance was estimated using the OKI Travel Demand Model Version 7.6. 

The OKI Travel Demand Model is composed of TRANPLAN programs, CUBE Voyager programs and a 

series of FORTRAN programs written by OKI. It is a state of the practice model that uses the standard 4 

phase sequential modeling approach of trip generation, distribution, modal choice and assignment. The 

model uses demographic and land use data and capacity and free-flow speed characteristics for each 

roadway segment in the network to produce a “loaded” highway network with forecasted traffic 

volumes with revised speeds based on specified speed/capacity relationships. 

Travel analysis zones are the basic geographic unit for estimating travel in the OKI model. The OKI region 

is subdivided into 1608 traffic analysis zones to permit detail as well as manageability. A variety of 

socioeconomic data items are used in the OKI transportation planning process. These data are used 

primarily to forecast future travel patterns by serving as independent variables in OKI trip generation 

equations. The following categories of planning data are utilized: 

• Population (household and group quarter) 

• Households 

• Household vehicles 

• Employment (by employment category and zone of work) 

• Labor force participation (by zone of residence) 

• Area type 

The principal data requirements of the OKI travel demand forecasting model are population and 

employment. From these variables, other characteristics including households, labor force, and personal 

vehicles may be derived. Chapter 5 of OKI 2030 Regional Transportation Plan 2008 Update provides a 

complete demographic overview of the region. 

OKI utilizes both base year (2005) and future year data (2010, 2020 and 2030) in the planning process.

Planning data are maintained at the Traffic Analysis Zone (TAZ) level, and originate in the 2000 Census of 

Population and Housing. Base year 2005 and future year data for each variable are developed through 

various methods. More detailed explanation of base year and future year data generation for each of 

the above-mentioned categories of planning data follows. All of the variables represent the latest OKI 

planning assumptions. 
Population 

Base and Future Year Data: Population data for base year 2005 and future years 2010, 2020 and 2030 

originate with the 2000 Census of Population and Housing. Utilizing ArcView GIS, population data at the 

zonal level for 2000 was derived from the area proportion allocation of block level population. 

As a tri-state regional planning agency, OKI uses county level projections as prepared by the respective 

state data centers (Ohio Department of Development Office of Strategic Research, Kentucky State Data 

Center and Indiana Business Research Center) as control totals. The most current projections (years 

2005 to 2030) were released by the Ohio and Indiana state data centers in 2003 and the Kentucky State 

Data Center in 2004. Population projections at the zonal level are calculated by multiplying household

size by the projected zonal households. Household size is factored so that, in each county, the sum of

the zonal populations equals the control total. 

Households 

Base Year Data: Household data for base year 2005 originates with the 2000 Census of Population and 

Housing. Utilizing the geographic information system ArcMap, household data at the zonal level for 2000 

was derived from the area proportion allocation of block level households. Year 2000 household data 

was updated to 2005 with residential building permits issued between January 2000 and December 

2004. The residential building locations were geo-coded in ArcMap, then aggregated to the TAZs. The 

housing unit totals for each TAZ were converted to households by applying a vacancy rate, an 

adjustment for permitted but unbuilt units, and subtracting demolitions (where data was available). 

These households were then added to the year Census 2000 zonal household total to arrive at 2005 

households for each TAZ. 

Future Year Data: The preparation of household projections was accomplished by calculating the 

number of households for a projected county population using ratios of householders to total 

population by age specific cohorts derived from the 2000 Census for each analysis year. Disaggregation

to TAZs was determined by historical trends, existing and future land use, topography, flood plain 

information, availability of land, local knowledge and other factors. 

Household Vehicles 

Base and Future Year Data: Base and future year household vehicle data were obtained from the 2000 

Census of Population and Housing. The 2000 Census is the only source of household vehicle data 

available at the block group level. Average vehicles per household were calculated for block groups then 

applied to the TAZs associated with each block group. The 2005, 2010, 2020 and 2030 vehicles per 

household level was held at the 2000 level based on the fact that, since 2002, the number of vehicles 

per household has exceeded the number of drivers per household. 

Labor Force 

Base and Future Year Data: The OKI labor force is a function of the population as determined by a labor 

force participation ratio (the number of employed persons in the labor force per persons 16 and over).

Household data for base year 2005 originates with the 2000 Census of Population and Housing. Utilizing

the geographic information system ArcMap, household data at the zonal level for 2000 was derived 
from the area proportion allocation of block group level employed labor force. The labor force 

projections for 2005, 2010, 2020 and 2030 were based on the most recent projections of national labor 

force participation rates by age and sex cohorts from the U.S. Department of Labor, Bureau of Labor 

Statistics for each of those years. These rates were then applied to the projected county age/sex cohorts 

and adjusted to eliminate the unemployed to arrive at a county employed labor force control total. 

Employed labor force at the zonal level is calculated by multiplying the labor force participation rate by 

the zonal population. The labor force participation rate is adjusted so that, in each county, the sum of 

the zonal labor force counts equals the control total. 

Employment 

Base Year Data: Quarterly Census of Employment and Wages (QCEW or ES202) data for 2005 was 

utilized as the primary tool to calculate employment at the zonal level. Individual business records 

containing physical location, number of employees and SIC code were geocoded through ArcMap and 

aggregated to the TAZ level. This data set was supplemented by other sources of data to complete the 

commuting employment picture in the OKI region. Each zone’s employment was divided according to 

the SIC code into three classes (retail, office, industrial) based upon the potential for generating trips. 

Future Year Data: For future year employment projection, calculation was first made of the 

employment at the regional level. At the regional level, employment is a calculation of the region’s 

employed labor force minus workers who live in the region but commute out to work, plus workers who 

live outside the region but commute in to work. The regional total was disaggregated first to the county 

level based on historic trends and expected changes in the county’s share of the region’s employment 

and then to the TAZ level. Disaggregation to TAZs was determined by historical trends, existing and 

future land use, topography, flood plain information, availability of land, local knowledge and other 

factors. 

Area Type 

Base and Future Year Data: For each analysis year, each TAZ is assigned an area type designation as 

CBD, Urban, Suburban or Rural based on population and employment densities. 

Model Calibration 

OKI’s Travel Demand Model has been validated to observed traffic volumes for the model base year 

2005. The modeling network encompasses the entire ozone nonattainment area with the exception of 

Clinton County, Ohio. The modeling network also includes Greene, Miami and Montgomery counties in 

Ohio and the remainder of Dearborn County Indiana. The difference between estimated vehicle miles 

traveled (VMT) and 2005 observed VMT is less than 1%. A highway screenline analysis compares the 

screenline observed and simulated traffic volume discrepancies with the ODOT standard of maximum 

desirable deviation. The comparison shows that the model performs at a satisfactory level and all the

errors were under the ODOT curve. Further information can be found in OKI’s 2007 report, “OKI/MVRPC 

Travel Demand Model Methodology/ Validation Report”. For the calibration, OKI used over 3000 traffic

counts collected through 2006 by the Ohio Department of Transportation (ODOT), the Kentucky 

Transportation Cabinet, many county and local governments, transportation engineering consultants, 

and OKI. These traffic counts cover nearly 50% percent of the links in the OKI portion of the modeling 
network. The methodology provides consistency with past emission inventory and conformity analysis 

work performed by OKI. 

Local Inputs and Post-Model Processing 

OKI incorporates a variety of sources of local data to both improve and confirm the accuracy of VMT, as 

well as other travel-related parameters. Free flow speeds used on the highway and transit networks are 

based on travel time studies performed locally. The OKI post-processing program, IMPACT, uses the 

loaded highway network to generate VMT by hour, VMT by speed distribution and VMT by facility type. 

These tables are then included as input into MOVES. Two separate sets of VMT tables are generated: 

one for the four Ohio counties plus Dearborn County Indiana, and a second for the three Kentucky 

counties. The VMT by hour tables utilize hourly traffic distribution and directional split factors for 

different roadway types as developed by OKI. The main source of the data was the permanent traffic 

counting stations located throughout the OKI region for the years of 2004-2006. This data was 

supplemented with data collected at coverage count stations (locations with counts taken on only onetwo days). The stations were classified by area type: urban and rural, and functional classification:

freeway, arterial and collector. Speeds representing various “loaded” conditions (with traffic volumes) 

are estimated using techniques from the 1997 Highway Capacity Manual. This permits the estimation of 

speeds as conditions vary from hour to hour on the different facility types throughout the region. The 

IMPACT program performs the appropriate summation by area and roadway type as well as regional 

totals. OKI has also developed seasonal conversion factors to adjust traffic volumes to summer 

conditions. The factors were derived from local data collected at permanent traffic counting stations

during 1994-1997 utilizing the average daily traffic monthly conversion factors for June, July and August. 

Further information on OKI’s IMPACT program is documented in the report, “Travel Demand Model 

Summary Reporting and Impact Summary Reporting: OKI/MVRPC Travel Demand Model User’s Guide”, 

OKI 2003.

 
11 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

APPENDIX 

OKI Technical Documentation for Using 

EPA Motor Vehicle Emission Simulator 

(MOVES) 2010 to develop mobile Source 

Emissions 

August 2010 

 
12 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

1. Using MOVES 

To determine specific emission profiles and inventory, user has to define the input data like 

area, time span, type of vehicles, road types, fuel types, emission producing processes etc. 

These data are stored in a run specification (RunSpec) XML file. Using graphical user interface, 

the user can modify all these attributes of the RunSpec. In the following sections, how input 

data is entered and modified is explained. All these input options are found in the navigation 

panel of Graphical User Interface of MOVES software. 

1.1 Description 

The description text box is useful to list the specifications of the RunSpec and to distinguish 

between the RunSpecs. We can provide a brief overview of the particular RunSpec. In all of our 

current RunSpecs, we have details such as analysis years, area and pollutants analyzed. 

1.2 Scale/Calculation Type 

In this option, we need to specify about the Domain/Scale and Calculation type. The Domain 

specifies the level of default data we need to use for analysis and also the scale of the analysis. 

We have used the County scale. The county scale requires user supplied local data for most 

inputs. We have selected “Emission Rates” as the calculation type. 

1.3 Time Spans 

This input panel has different time-related input data like time aggregation level, year of 

analysis, month of analysis, whether analysis day is weekday or weekend, and hours of analysis. 

In all of our runs, time aggregation level is considered as hour, which is the most disaggregated 

level possible in MOVES and it is also specified in EPA’s technical guidance for all SIP runs. In In 

consultation with the states, the analysis years of 2005, 2008, 2011, 2015, 2018, and 2021 were 

selected. Each analysis year requires a separate MOVES run. We have used the month of April 

for analysis. Annual analysis uses one 24-hour set of average annual temperatures. The annual 

average minimum temperature, maximum temperature and humidity values for each hour 

were calculated and assigned the April month ID. The annual average temperature profile was 

used for the PM2.5 SIP inventory. Weekdays only, and all hours were selected. 

1.4 Geographic Bounds 

In this input screen, we need to specify the region of analysis (eg. Nation, State, Custom 

Domain). We have created a two separate input database through combining the four OKI Ohio 

counties (Hamilton, Butler, Clermont, and Warren) and the three OKI Kentucky counties 

(Boone, Campbell, and Kenton). Upon selecting the custom domain, MOVES will consider this 

region as separate generic County. The state ID is fixed as 99 and we have assigned an arbitrary 

CountyID of 390 for Ohio, and 210 for Kentucky to distinguish between the two states (39 and 
13 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

21 are used in post-processing as state id’s). The user also needs to provide a fraction 

geographic phase in area. In this case we do not have any phase in area fraction and we also 

provided average barometric pressure (MOVES default value for Hamilton County Ohio) to 

identify whether it is low altitude area or high altitude area. Since we do not have I/M program 

in the region the refueling program adjustment fraction and refueling spill program adjustment 

fractions are assigned as 0.00. In this input panel we also need to specify the Domain Input 

Databases. For all of our runs we have defined different input databases for each year. 

1.5 Vehicles/Equipment 

 

In MOVES, the user also needs to provide the different type of vehicles considered for analysis 

in the region. MOVES provide us with 13 different types of vehicles or equipment and four 

different fuel types and we need to select appropriate fuel and vehicle combinations. In 

MOVES, vehicle types are called SourceUseTypes . We have considered all possible types of 

fuel/vehicle type combinations. 

1.6 Road Type 

There are five road types available in MOVES. All five road types are selected in the RunSpecs, 

however OKI travel demand model does not predict the off-network vehicle miles traveled. The 

off-network road type in MOVES is used to assign activity for vehicle starts and for evaporative 

emissions while vehicles are parked. The other four road types are relatively simple and are 

based on area type, whether it is urban or rural. All expressways and freeways are considered 

as restricted roadways and all other road types are considered as unrestricted roadways. 

1.7 Pollutants and Processes 

There are different pollutants and corresponding processes are available in MOVES. A separate 

panel is available for selecting different pollutants and processes. In consultation with the 

states, PM2.5, NOx, SO2 were selected. To perform calculation of PM2.5 it is also required to 

select total energy consumption, elemental carbon, organic carbon, and sulfate particulate. In 

addition, brake wear and tire wear are also selected. 

1.8 Miscellaneous 

Information about present and future alternative vehicle fuels & technologies, on-road retrofit 

and rate of progress information can be input with the MOVES Strategies section of the 

RunSpec. If we do not specify future Alternative Vehicle Fuel & Technologies, MOVES is going 

to assume default alternative fuels. The default AVFT strategy file was modified to reflect 0% 

CNG buses in the transit fleet (default is 6%). MOVES also provides options whether we would 

like to save the MOVESactivityoutput and MOVESOutput databases or not. We did not select 

these options, although these were selected in subsequent runs as an error checking method, 

and to obtain values utilized in the post-processing. 
14 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

Table 1.8 : Alternative Vehicle and Fueling Technology used in all RunSpecs 

sourceTypeID modelYearID fuelTypeID engTechID fuelEngFraction

42 1960 2 1 1 

42 1961 2 1 1 

42 1962 2 1 1 

42 1963 2 1 1 

42 1964 2 1 1 

42 1965 2 1 1 

42 1966 2 1 1 

42 1967 2 1 1 

42 1968 2 1 1 

42 1969 2 1 1 

42 1970 2 1 1 

42 1971 2 1 1 

42 1972 2 1 1 

42 1973 2 1 1 

42 1974 2 1 1 

42 1975 2 1 1 

42 1976 2 1 1 

42 1977 2 1 1 

42 1978 2 1 1 

42 1979 2 1 1 

42 1980 2 1 1 

42 1981 2 1 1 

42 1982 2 1 1 

42 1983 2 1 1 

42 1984 2 1 1 

42 1985 2 1 1 

42 1986 2 1 1 

42 1987 2 1 1 

42 1988 2 1 1 

42 1989 2 1 1 

42 1990 2 1 1 

42 1991 2 1 1 

42 1992 2 1 1 

42 1993 2 1 1 

42 1994 2 1 1 

42 1995 2 1 1 

42 1996 2 1 1 

42 1997 2 1 1 

42 1998 2 1 1 

42 1999 2 1 1 

42 2000 2 1 1 

42 2001 2 1 1 

42 2002 2 1 1 

42 2003 2 1 1 
15 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

42 2004 2 1 1 

42 2005 2 1 1 

42 2006 2 1 1 

42 2007 2 1 1 

42 2008 2 1 1 

42 2009 2 1 1 

42 2010 2 1 1 

42 2011 2 1 1 

42 2012 2 1 1 

42 2013 2 1 1 

42 2014 2 1 1 

42 2015 2 1 1 

42 2016 2 1 1 

42 2017 2 1 1 

42 2018 2 1 1 

42 2019 2 1 1 

42 2020 2 1 1 

42 2021 2 1 1 

42 2022 2 1 1 

42 2023 2 1 1 

42 2024 2 1 1 

42 2025 2 1 1 

42 2026 2 1 1 

42 2027 2 1 1 

42 2028 2 1 1 

42 2029 2 1 1 

42 2030 2 1 1 

42 2031 2 1 1 

42 2032 2 1 1 

42 2033 2 1 1 

42 2034 2 1 1 

42 2035 2 1 1 

42 2036 2 1 1 

42 2037 2 1 1 

42 2038 2 1 1 

42 2039 2 1 1 

42 2040 2 1 1 

42 2041 2 1 1 

42 2042 2 1 1 

42 2043 2 1 1 

42 2044 2 1 1 

42 2045 2 1 1 

42 2046 2 1 1 

42 2047 2 1 1 

42 2048 2 1 1 

42 2049 2 1 1 

42 2050 2 1 1 
16 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

1.9 Output 

The MOVES output section requires the designation of an output database. A new database 

was created for each new RunSpec. Output units selected for mass, energy and distance were 

grams, joules and miles. Activity output was not selected. The second output screen requires 

further selection for data aggregation and data options. Hour was selected for Time, and 

County was selected for Location. Road Type and Source Type were also selected. 

2. Data Importers 

In order to enter local data into RunSpec, we need to use pre processing option in the MOVES. 

We can select either Data Importer or County Importer for Custom Domain option. These 

Importers convert the data in excel format to MySQL tables. This is the preferred input format 

of MOVES software. 

2.1 Meteorology Data Importer 

In this type of Importer, meteorology data is converted to a MOVES input format. This dataset 

has different data items like month ID, Zone ID, hour ID, Temperature and Relative Humidity. 

The Ohio and Kentucky custom domains use the identical temperature data obtained from the 

Kentucky Division for Air Quality (KDAQ). Even though ODOT has provided the temperature 

data (collected from local airports), KDAQ data appeared to be more applicable. A portion of 

the KDAQ temperature file is shown in Table 2.1. As previously discussed, annual average 

minimum and maximum temperatures and humidity values were calculated and used in the 

PM2.5 analysis. 

Table 2.1 : Meteorology Data 

monthID zoneID hourID temperature relHumidity 

1 993900 1 23.2 100 

1 993900 2 22.2 100 

1 993900 3 21.4 100 

1 993900 4 20.9 100 

1 993900 5 20.4 100 

1 993900 6 19.9 100 

1 993900 7 19.5 100 

1 993900 8 19.9 100 

1 993900 9 22 100 

1 993900 10 25.4 100 

1 993900 11 28.9 87.6 
17 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

1 993900 12 31.9 77.5 

1 993900 13 34.5 69.7 

1 993900 14 36 65.9 

1 993900 15 36.5 64.6 

1 993900 16 36.6 64.2 

1 993900 17 36.2 65.1 

1 993900 18 35.2 67.8 

1 993900 19 33.5 72.6 

1 993900 20 31.3 79.3 

1 993900 21 29.1 86.8 

1 993900 22 27.2 93.9 

1 993900 23 25.8 99.4 

1 993900 24 24.5 100 

2.2 Source Type Population Importer 

The source type population importer converts vehicle type, and registered vehicle population in 

into MOVES database format. ODOT has provided us with the registered vehicle population in 

each county in the Ohio portion of the region for 13 MOVES vehicle types. KYTC has provided 

registered vehicle population by county for 6 HPMS vehicle types. The KYTC data was 

converted to the 13 MOVES vehicle types based on the Ohio distribution. Same vehicle 

population was used for all analysis years. As per suggestions made by FHWA, the source type 

population has been forecasted for future years with +0.8 % per year. Similarly, the source type 

populations has been estimated for past years. The MOVES default source type population for 

intercity bus, refuse trucks, motor homes and combination trucks was used. In addition, 

MOVES default source type population for passenger trucks and light commercial trucks was 

used for Kentucky. The MOVES default source type population was acquired from the MOVES 

activity output tables from county-level inventory runs. 

Table 2.21: Ohio Source Type Population (acquired from ODOT and default)

yearID sourceTypeID sourceTypePopulation

2008 11 68559 

2008 21 1191067 

2008 31 482420 

2008 32 15817 

2008 41 454 

2008 42 81 

2008 43 3651 

2008 51 409 

2008 52 366 

2008 53 361 

2008 54 4888 

2008 61 4839 
18 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2008 62 5548 

Table 2.22: Kentucky Source Type population (acquired from KYTC and default) 

yearID sourceTypeID sourceTypePopulation

2008 11 7975 

2008 21 197009 

2008 31 120518 

2008 32 40263 

2008 41 127 

2008 42 21 

2008 43 977 

2008 51 115 

2008 52 761 

2008 53 751 

2008 54 1379 

2008 61 1580 

2008 62 1811 

2.3 Age Distribution Importer 

For emission calculation, MOVES requires vehicle Age Distribution by Source Type. Vehicle Age 

Distribution is divided into 30 years based on vehicle model years. For each vehicle type, the 

distribution sum adds up to one. ODOT has obtained vehicle registration data from the Ohio 

Bureau of Motor Vehicles for all the counties in Ohio and processed them to convert into 

MOVES Age Distribution for 13 vehicle types. KYTC also provided vehicle registration data. We 

have used the same Age Distribution for all year runs. All the vehicles older than 30 years are 

considered as 30-years old. Identical age distribution is used for all analysis years. KYTC also 

provided similar information, but for the 6 HPMS types only. For Kentucky, identical age 

distributions are used within each HPMS vehicle type. 

Table 2.3: Ohio Custom Domain Age 

distribution 

Source

TypeID

yearID ageID ageFraction

11 2008 0 0.0019 

11 2008 1 0.0191 

11 2008 2 0.0531 

11 2008 3 0.0688 

11 2008 4 0.0773 

11 2008 5 0.0737 

11 2008 6 0.0611 

11 2008 7 0.0780 

11 2008 8 0.0636 

11 2008 9 0.0537 

11 2008 10 0.0435 

11 2008 11 0.0359 

11 2008 12 0.0282 

11 2008 13 0.0230 

11 2008 14 0.0220 

11 2008 15 0.0183 

11 2008 16 0.0160 

11 2008 17 0.0146 

11 2008 18 0.0097 

11 2008 19 0.0080 

11 2008 20 0.0072 

11 2008 21 0.0086 
19 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

11 2008 22 0.0084 

11 2008 23 0.0121 

11 2008 24 0.0171 

11 2008 25 0.0179 

11 2008 26 0.0137 

11 2008 27 0.0171 

11 2008 28 0.0249 

11 2008 29 0.0172 

11 2008 30 0.0862 

21 2008 0 0.0121 

21 2008 1 0.0331 

21 2008 2 0.0440 

21 2008 3 0.0528 

21 2008 4 0.0534 

21 2008 5 0.0566 

21 2008 6 0.0570 

21 2008 7 0.0592 

21 2008 8 0.0591 

21 2008 9 0.0542 

21 2008 10 0.0590 

21 2008 11 0.0568 

21 2008 12 0.0507 

21 2008 13 0.0499 

21 2008 14 0.0438 

21 2008 15 0.0453 

21 2008 16 0.0368 

21 2008 17 0.0308 

21 2008 18 0.0261 

21 2008 19 0.0207 

21 2008 20 0.0165 

21 2008 21 0.0132 

21 2008 22 0.0095 

21 2008 23 0.0073 

21 2008 24 0.0059 

21 2008 25 0.0043 

21 2008 26 0.0033 

21 2008 27 0.0017 

21 2008 28 0.0011 

21 2008 29 0.0010 

21 2008 30 0.0346 

31 2008 0 0.0103 

31 2008 1 0.0279 

31 2008 2 0.0502 

31 2008 3 0.0570 

31 2008 4 0.0659 

31 2008 5 0.0806 

31 2008 6 0.0796 

31 2008 7 0.0733 

31 2008 8 0.0727 

31 2008 9 0.0599 

31 2008 10 0.0625 

31 2008 11 0.0603 

31 2008 12 0.0516 

31 2008 13 0.0432 

31 2008 14 0.0380 

31 2008 15 0.0386 

31 2008 16 0.0302 

31 2008 17 0.0260 

31 2008 18 0.0165 

31 2008 19 0.0125 

31 2008 20 0.0093 

31 2008 21 0.0084 

31 2008 22 0.0067 

31 2008 23 0.0051 

31 2008 24 0.0037 

31 2008 25 0.0025 

31 2008 26 0.0017 

31 2008 27 0.0009 

31 2008 28 0.0004 

31 2008 29 0.0002 

31 2008 30 0.0041 

32 2008 0 0.0178 

32 2008 1 0.0459 

32 2008 2 0.0871 

32 2008 3 0.0699 

32 2008 4 0.0707 

32 2008 5 0.0357 

32 2008 6 0.0355 

32 2008 7 0.0369 

32 2008 8 0.0366 

32 2008 9 0.0407 

32 2008 10 0.0491 

32 2008 11 0.0547 

32 2008 12 0.0427 

32 2008 13 0.0413 

32 2008 14 0.0383 

32 2008 15 0.0602 

32 2008 16 0.0476 

32 2008 17 0.0381 

32 2008 18 0.0304 

32 2008 19 0.0181 

32 2008 20 0.0212 

32 2008 21 0.0184 

32 2008 22 0.0135 

32 2008 23 0.0134 

32 2008 24 0.0095 

32 2008 25 0.0070 

32 2008 26 0.0054 
20 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

32 2008 27 0.0021 

32 2008 28 0.0014 

32 2008 29 0.0008 

32 2008 30 0.0100 

41 2008 0 0.0000 

41 2008 1 0.0309 

41 2008 2 0.0884 

41 2008 3 0.0890 

41 2008 4 0.0768 

41 2008 5 0.0746 

41 2008 6 0.0967 

41 2008 7 0.0635 

41 2008 8 0.0486 

41 2008 9 0.0801 

41 2008 10 0.0751 

41 2008 11 0.0624 

41 2008 12 0.0254 

41 2008 13 0.0271 

41 2008 14 0.0188 

41 2008 15 0.0193 

41 2008 16 0.0133 

41 2008 17 0.0177 

41 2008 18 0.0094 

41 2008 19 0.0177 

41 2008 20 0.0171 

41 2008 21 0.0099 

41 2008 22 0.0039 

41 2008 23 0.0055 

41 2008 24 0.0061 

41 2008 25 0.0011 

41 2008 26 0.0033 

41 2008 27 0.0033 

41 2008 28 0.0028 

41 2008 29 0.0017 

41 2008 30 0.0105 

42 2008 0 0.0000 

42 2008 1 0.0366 

42 2008 2 0.1098 

42 2008 3 0.0366 

42 2008 4 0.1585 

42 2008 5 0.0366 

42 2008 6 0.0610 

42 2008 7 0.0610 

42 2008 8 0.0244 

42 2008 9 0.1098 

42 2008 10 0.0366 

42 2008 11 0.0976 

42 2008 12 0.0366 

42 2008 13 0.0244 

42 2008 14 0.0244 

42 2008 15 0.0122 

42 2008 16 0.0244 

42 2008 17 0.0244 

42 2008 18 0.0366 

42 2008 19 0.0000 

42 2008 20 0.0000 

42 2008 21 0.0122 

42 2008 22 0.0000 

42 2008 23 0.0000 

42 2008 24 0.0000 

42 2008 25 0.0000 

42 2008 26 0.0122 

42 2008 27 0.0000 

42 2008 28 0.0000 

42 2008 29 0.0122 

42 2008 30 0.0122 

43 2008 0 0.0905 

43 2008 1 0.0302 

43 2008 2 0.0549 

43 2008 3 0.0467 

43 2008 4 0.0592 

43 2008 5 0.0723 

43 2008 6 0.0481 

43 2008 7 0.0334 

43 2008 8 0.0668 

43 2008 9 0.0647 

43 2008 10 0.0842 

43 2008 11 0.0864 

43 2008 12 0.0473 

43 2008 13 0.0500 

43 2008 14 0.0242 

43 2008 15 0.0185 

43 2008 16 0.0106 

43 2008 17 0.0228 

43 2008 18 0.0109 

43 2008 19 0.0130 

43 2008 20 0.0125 

43 2008 21 0.0092 

43 2008 22 0.0062 

43 2008 23 0.0079 

43 2008 24 0.0090 

43 2008 25 0.0035 

43 2008 26 0.0030 

43 2008 27 0.0011 

43 2008 28 0.0027 

43 2008 29 0.0016 

43 2008 30 0.0087 

51 2008 0 0.0054 
21 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

51 2008 1 0.0488 

51 2008 2 0.0623 

51 2008 3 0.0705 

51 2008 4 0.0867 

51 2008 5 0.0434 

51 2008 6 0.0434 

51 2008 7 0.0542 

51 2008 8 0.0542 

51 2008 9 0.0759 

51 2008 10 0.0217 

51 2008 11 0.0407 

51 2008 12 0.0786 

51 2008 13 0.0542 

51 2008 14 0.0515 

51 2008 15 0.0678 

51 2008 16 0.0325 

51 2008 17 0.0081 

51 2008 18 0.0163 

51 2008 19 0.0027 

51 2008 20 0.0081 

51 2008 21 0.0000 

51 2008 22 0.0027 

51 2008 23 0.0027 

51 2008 24 0.0136 

51 2008 25 0.0000 

51 2008 26 0.0000 

51 2008 27 0.0000 

51 2008 28 0.0027 

51 2008 29 0.0000 

51 2008 30 0.0515 

52 2008 0 0.0054 

52 2008 1 0.0488 

52 2008 2 0.0623 

52 2008 3 0.0705 

52 2008 4 0.0867 

52 2008 5 0.0434 

52 2008 6 0.0434 

52 2008 7 0.0542 

52 2008 8 0.0542 

52 2008 9 0.0759 

52 2008 10 0.0217 

52 2008 11 0.0407 

52 2008 12 0.0786 

52 2008 13 0.0542 

52 2008 14 0.0515 

52 2008 15 0.0678 

52 2008 16 0.0325 

52 2008 17 0.0081 

52 2008 18 0.0163 

52 2008 19 0.0027 

52 2008 20 0.0081 

52 2008 21 0.0000 

52 2008 22 0.0027 

52 2008 23 0.0027 

52 2008 24 0.0136 

52 2008 25 0.0000 

52 2008 26 0.0000 

52 2008 27 0.0000 

52 2008 28 0.0027 

52 2008 29 0.0000 

52 2008 30 0.0515 

53 2008 0 0.0000 

53 2008 1 0.0062 

53 2008 2 0.0373 

53 2008 3 0.0093 

53 2008 4 0.0280 

53 2008 5 0.0342 

53 2008 6 0.0186 

53 2008 7 0.0186 

53 2008 8 0.0124 

53 2008 9 0.0155 

53 2008 10 0.0217 

53 2008 11 0.0373 

53 2008 12 0.0093 

53 2008 13 0.0311 

53 2008 14 0.0217 

53 2008 15 0.0373 

53 2008 16 0.0217 

53 2008 17 0.0342 

53 2008 18 0.0124 

53 2008 19 0.0186 

53 2008 20 0.0248 

53 2008 21 0.0373 

53 2008 22 0.0186 

53 2008 23 0.0248 

53 2008 24 0.0062 

53 2008 25 0.0373 

53 2008 26 0.0155 

53 2008 27 0.0186 

53 2008 28 0.0217 

53 2008 29 0.0186 

53 2008 30 0.3509 

54 2008 0 0.0077 

54 2008 1 0.0170 

54 2008 2 0.0377 

54 2008 3 0.0424 

54 2008 4 0.0471 

54 2008 5 0.0579 
22 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

54 2008 6 0.0552 

54 2008 7 0.0485 

54 2008 8 0.0406 

54 2008 9 0.0439 

54 2008 10 0.0505 

54 2008 11 0.0539 

54 2008 12 0.0435 

54 2008 13 0.0360 

54 2008 14 0.0348 

54 2008 15 0.0375 

54 2008 16 0.0303 

54 2008 17 0.0231 

54 2008 18 0.0196 

54 2008 19 0.0150 

54 2008 20 0.0183 

54 2008 21 0.0208 

54 2008 22 0.0218 

54 2008 23 0.0217 

54 2008 24 0.0186 

54 2008 25 0.0173 

54 2008 26 0.0163 

54 2008 27 0.0118 

54 2008 28 0.0084 

54 2008 29 0.0059 

54 2008 30 0.0968 

61 2008 0 0.0030 

61 2008 1 0.0167 

61 2008 2 0.0334 

61 2008 3 0.0393 

61 2008 4 0.0506 

61 2008 5 0.0530 

61 2008 6 0.0620 

61 2008 7 0.0625 

61 2008 8 0.0562 

61 2008 9 0.0551 

61 2008 10 0.0595 

61 2008 11 0.0569 

61 2008 12 0.0458 

61 2008 13 0.0493 

61 2008 14 0.0380 

61 2008 15 0.0435 

61 2008 16 0.0425 

61 2008 17 0.0312 

61 2008 18 0.0262 

61 2008 19 0.0235 

61 2008 20 0.0201 

61 2008 21 0.0225 

61 2008 22 0.0212 

61 2008 23 0.0141 

61 2008 24 0.0137 

61 2008 25 0.0096 

61 2008 26 0.0069 

61 2008 27 0.0039 

61 2008 28 0.0030 

61 2008 29 0.0027 

61 2008 30 0.0343 

62 2008 0 0.0078 

62 2008 1 0.0232 

62 2008 2 0.0307 

62 2008 3 0.0907 

62 2008 4 0.0721 

62 2008 5 0.0808 

62 2008 6 0.0564 

62 2008 7 0.0520 

62 2008 8 0.0360 

62 2008 9 0.0552 

62 2008 10 0.1019 

62 2008 11 0.0813 

62 2008 12 0.0603 

62 2008 13 0.0425 

62 2008 14 0.0439 

62 2008 15 0.0442 

62 2008 16 0.0273 

62 2008 17 0.0202 

62 2008 18 0.0122 

62 2008 19 0.0101 

62 2008 20 0.0103 

62 2008 21 0.0080 

62 2008 22 0.0079 

62 2008 23 0.0058 

62 2008 24 0.0050 

62 2008 25 0.0036 

62 2008 26 0.0038 

62 2008 27 0.0001 

62 2008 28 0.0012 

62 2008 29 0.0010 

62 2008 30 0.0046 
23 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

Table 2 : Kentucky Custom Domain Age 

distribution 

Source

TypeID

yearID ageID ageFraction

11 2008 0 0.0020 

11 2008 1 0.0323 

11 2008 2 0.0606 

11 2008 3 0.0826 

11 2008 4 0.0831 

11 2008 5 0.0774 

11 2008 6 0.0667 

11 2008 7 0.0830 

11 2008 8 0.0650 

11 2008 9 0.0495 

11 2008 10 0.0424 

11 2008 11 0.0345 

11 2008 12 0.0287 

11 2008 13 0.0214 

11 2008 14 0.0240 

11 2008 15 0.0208 

11 2008 16 0.0138 

11 2008 17 0.0129 

11 2008 18 0.0092 

11 2008 19 0.0051 

11 2008 20 0.0052 

11 2008 21 0.0058 

11 2008 22 0.0078 

11 2008 23 0.0108 

11 2008 24 0.0153 

11 2008 25 0.0168 

11 2008 26 0.0124 

11 2008 27 0.0160 

11 2008 28 0.0228 

11 2008 29 0.0152 

11 2008 30 0.0568 

21 2008 0 0.0118 

21 2008 1 0.0665 

21 2008 2 0.0596 

21 2008 3 0.0642 

21 2008 4 0.0611 

21 2008 5 0.0705 

21 2008 6 0.0694 

21 2008 7 0.0699 

21 2008 8 0.0719 

21 2008 9 0.0619 

21 2008 10 0.0633 

21 2008 11 0.0591 

21 2008 12 0.0490 

21 2008 13 0.0442 

21 2008 14 0.0348 

21 2008 15 0.0318 

21 2008 16 0.0241 

21 2008 17 0.0191 

21 2008 18 0.0142 

21 2008 19 0.0111 

21 2008 20 0.0088 

21 2008 21 0.0066 

21 2008 22 0.0049 

21 2008 23 0.0039 

21 2008 24 0.0028 

21 2008 25 0.0024 

21 2008 26 0.0018 

21 2008 27 0.0009 

21 2008 28 0.0005 

21 2008 29 0.0005 

21 2008 30 0.0094 

31 2008 0 0.0000 

31 2008 1 0.0000 

31 2008 2 0.0000 

31 2008 3 0.0000 

31 2008 4 0.0238 

31 2008 5 0.0119 

31 2008 6 0.0119 

31 2008 7 0.0119 

31 2008 8 0.0119 

31 2008 9 0.0000 

31 2008 10 0.0238 

31 2008 11 0.0357 

31 2008 12 0.0119 

31 2008 13 0.0952 

31 2008 14 0.0833 

31 2008 15 0.0595 

31 2008 16 0.1071 

31 2008 17 0.0357 

31 2008 18 0.0357 

31 2008 19 0.0357 

31 2008 20 0.0119 

31 2008 21 0.0476 

31 2008 22 0.0238 

31 2008 23 0.0119 

31 2008 24 0.0119 

31 2008 25 0.0595 
24 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

31 2008 26 0.0357 

31 2008 27 0.0000 

31 2008 28 0.0238 

31 2008 29 0.0238 

31 2008 30 0.1548 

32 2008 0 0.0000 

32 2008 1 0.0000 

32 2008 2 0.0000 

32 2008 3 0.0000 

32 2008 4 0.0238 

32 2008 5 0.0119 

32 2008 6 0.0119 

32 2008 7 0.0119 

32 2008 8 0.0119 

32 2008 9 0.0000 

32 2008 10 0.0238 

32 2008 11 0.0357 

32 2008 12 0.0119 

32 2008 13 0.0952 

32 2008 14 0.0833 

32 2008 15 0.0595 

32 2008 16 0.1071 

32 2008 17 0.0357 

32 2008 18 0.0357 

32 2008 19 0.0357 

32 2008 20 0.0119 

32 2008 21 0.0476 

32 2008 22 0.0238 

32 2008 23 0.0119 

32 2008 24 0.0119 

32 2008 25 0.0595 

32 2008 26 0.0357 

32 2008 27 0.0000 

32 2008 28 0.0238 

32 2008 29 0.0238 

32 2008 30 0.1548 

41 2008 0 0.0455 

41 2008 1 0.1136 

41 2008 2 0.0000 

41 2008 3 0.0114 

41 2008 4 0.0227 

41 2008 5 0.0000 

41 2008 6 0.0000 

41 2008 7 0.0114 

41 2008 8 0.0114 

41 2008 9 0.0227 

41 2008 10 0.0114 

41 2008 11 0.0568 

41 2008 12 0.1250 

41 2008 13 0.0227 

41 2008 14 0.0000 

41 2008 15 0.0341 

41 2008 16 0.0341 

41 2008 17 0.0682 

41 2008 18 0.0455 

41 2008 19 0.0909 

41 2008 20 0.0568 

41 2008 21 0.0455 

41 2008 22 0.0341 

41 2008 23 0.0455 

41 2008 24 0.0227 

41 2008 25 0.0227 

41 2008 26 0.0114 

41 2008 27 0.0000 

41 2008 28 0.0227 

41 2008 29 0.0000 

41 2008 30 0.0114 

42 2008 0 0.0455 

42 2008 1 0.1136 

42 2008 2 0.0000 

42 2008 3 0.0114 

42 2008 4 0.0227 

42 2008 5 0.0000 

42 2008 6 0.0000 

42 2008 7 0.0114 

42 2008 8 0.0114 

42 2008 9 0.0227 

42 2008 10 0.0114 

42 2008 11 0.0568 

42 2008 12 0.1250 

42 2008 13 0.0227 

42 2008 14 0.0000 

42 2008 15 0.0341 

42 2008 16 0.0341 

42 2008 17 0.0682 

42 2008 18 0.0455 

42 2008 19 0.0909 

42 2008 20 0.0568 

42 2008 21 0.0455 

42 2008 22 0.0341 

42 2008 23 0.0455 

42 2008 24 0.0227 

42 2008 25 0.0227 

42 2008 26 0.0114 

42 2008 27 0.0000 

42 2008 28 0.0227 

42 2008 29 0.0000 

42 2008 30 0.0114 
25 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

43 2008 0 0.0455 

43 2008 1 0.1136 

43 2008 2 0.0000 

43 2008 3 0.0114 

43 2008 4 0.0227 

43 2008 5 0.0000 

43 2008 6 0.0000 

43 2008 7 0.0114 

43 2008 8 0.0114 

43 2008 9 0.0227 

43 2008 10 0.0114 

43 2008 11 0.0568 

43 2008 12 0.1250 

43 2008 13 0.0227 

43 2008 14 0.0000 

43 2008 15 0.0341 

43 2008 16 0.0341 

43 2008 17 0.0682 

43 2008 18 0.0455 

43 2008 19 0.0909 

43 2008 20 0.0568 

43 2008 21 0.0455 

43 2008 22 0.0341 

43 2008 23 0.0455 

43 2008 24 0.0227 

43 2008 25 0.0227 

43 2008 26 0.0114 

43 2008 27 0.0000 

43 2008 28 0.0227 

43 2008 29 0.0000 

43 2008 30 0.0114 

51 2008 0 0.0025 

51 2008 1 0.0200 

51 2008 2 0.0386 

51 2008 3 0.0436 

51 2008 4 0.0495 

51 2008 5 0.0579 

51 2008 6 0.0667 

51 2008 7 0.0698 

51 2008 8 0.0620 

51 2008 9 0.0611 

51 2008 10 0.0675 

51 2008 11 0.0619 

51 2008 12 0.0508 

51 2008 13 0.0529 

51 2008 14 0.0397 

51 2008 15 0.0397 

51 2008 16 0.0375 

51 2008 17 0.0276 

51 2008 18 0.0204 

51 2008 19 0.0184 

51 2008 20 0.0158 

51 2008 21 0.0174 

51 2008 22 0.0152 

51 2008 23 0.0108 

51 2008 24 0.0108 

51 2008 25 0.0071 

51 2008 26 0.0052 

51 2008 27 0.0031 

51 2008 28 0.0021 

51 2008 29 0.0021 

51 2008 30 0.0220 

52 2008 0 0.0025 

52 2008 1 0.0200 

52 2008 2 0.0386 

52 2008 3 0.0436 

52 2008 4 0.0495 

52 2008 5 0.0579 

52 2008 6 0.0667 

52 2008 7 0.0698 

52 2008 8 0.0620 

52 2008 9 0.0611 

52 2008 10 0.0675 

52 2008 11 0.0619 

52 2008 12 0.0508 

52 2008 13 0.0529 

52 2008 14 0.0397 

52 2008 15 0.0397 

52 2008 16 0.0375 

52 2008 17 0.0276 

52 2008 18 0.0204 

52 2008 19 0.0184 

52 2008 20 0.0158 

52 2008 21 0.0174 

52 2008 22 0.0152 

52 2008 23 0.0108 

52 2008 24 0.0108 

52 2008 25 0.0071 

52 2008 26 0.0052 

52 2008 27 0.0031 

52 2008 28 0.0021 

52 2008 29 0.0021 

52 2008 30 0.0220 

53 2008 0 0.0025 

53 2008 1 0.0200 

53 2008 2 0.0386 

53 2008 3 0.0436 

53 2008 4 0.0495 
26 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

53 2008 5 0.0579 

53 2008 6 0.0667 

53 2008 7 0.0698 

53 2008 8 0.0620 

53 2008 9 0.0611 

53 2008 10 0.0675 

53 2008 11 0.0619 

53 2008 12 0.0508 

53 2008 13 0.0529 

53 2008 14 0.0397 

53 2008 15 0.0397 

53 2008 16 0.0375 

53 2008 17 0.0276 

53 2008 18 0.0204 

53 2008 19 0.0184 

53 2008 20 0.0158 

53 2008 21 0.0174 

53 2008 22 0.0152 

53 2008 23 0.0108 

53 2008 24 0.0108 

53 2008 25 0.0071 

53 2008 26 0.0052 

53 2008 27 0.0031 

53 2008 28 0.0021 

53 2008 29 0.0021 

53 2008 30 0.0220 

54 2008 0 0.0025 

54 2008 1 0.0200 

54 2008 2 0.0386 

54 2008 3 0.0436 

54 2008 4 0.0495 

54 2008 5 0.0579 

54 2008 6 0.0667 

54 2008 7 0.0698 

54 2008 8 0.0620 

54 2008 9 0.0611 

54 2008 10 0.0675 

54 2008 11 0.0619 

54 2008 12 0.0508 

54 2008 13 0.0529 

54 2008 14 0.0397 

54 2008 15 0.0397 

54 2008 16 0.0375 

54 2008 17 0.0276 

54 2008 18 0.0204 

54 2008 19 0.0184 

54 2008 20 0.0158 

54 2008 21 0.0174 

54 2008 22 0.0152 

54 2008 23 0.0108 

54 2008 24 0.0108 

54 2008 25 0.0071 

54 2008 26 0.0052 

54 2008 27 0.0031 

54 2008 28 0.0021 

54 2008 29 0.0021 

54 2008 30 0.0220 

61 2008 0 0.0000 

61 2008 1 0.0064 

61 2008 2 0.0295 

61 2008 3 0.0205 

61 2008 4 0.0321 

61 2008 5 0.0346 

61 2008 6 0.0423 

61 2008 7 0.0308 

61 2008 8 0.0269 

61 2008 9 0.0179 

61 2008 10 0.0462 

61 2008 11 0.0410 

61 2008 12 0.0359 

61 2008 13 0.0513 

61 2008 14 0.0333 

61 2008 15 0.0359 

61 2008 16 0.0423 

61 2008 17 0.0269 

61 2008 18 0.0295 

61 2008 19 0.0231 

61 2008 20 0.0385 

61 2008 21 0.0397 

61 2008 22 0.0333 

61 2008 23 0.0346 

61 2008 24 0.0295 

61 2008 25 0.0192 

61 2008 26 0.0346 

61 2008 27 0.0128 

61 2008 28 0.0141 

61 2008 29 0.0128 

61 2008 30 0.1244 

62 2008 0 0.0000 

62 2008 1 0.0064 

62 2008 2 0.0295 

62 2008 3 0.0205 

62 2008 4 0.0321 

62 2008 5 0.0346 

62 2008 6 0.0423 

62 2008 7 0.0308 

62 2008 8 0.0269 

62 2008 9 0.0179 
27 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

62 2008 10 0.0462 

62 2008 11 0.0410 

62 2008 12 0.0359 

62 2008 13 0.0513 

62 2008 14 0.0333 

62 2008 15 0.0359 

62 2008 16 0.0423 

62 2008 17 0.0269 

62 2008 18 0.0295 

62 2008 19 0.0231 

62 2008 20 0.0385 

62 2008 21 0.0397 

62 2008 22 0.0333 

62 2008 23 0.0346 

62 2008 24 0.0295 

62 2008 25 0.0192 

62 2008 26 0.0346 

62 2008 27 0.0128 

62 2008 28 0.0141 

62 2008 29 0.0128 

62 2008 30 0.1244 
28 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2.4 Vehicle Type VMT and VMT Fractions 

This option is useful to import the annual VMT by source type into MOVES format. It has input 

option as HPMS Base Year VMT, for which we can either use HPMS data or the Travel Demand 

Model output. We have used daily VMT from the OKI Regional Travel Demand Model and 

converted to annual VMT using the VMT converter. Options include Month VMT fraction, Day 

VMT fraction and Hour VMT fraction, which are useful for calculating emissions for different 

time periods. We have used default Monthly VMT distribution factors provided in the VMT 

Converter provided by EPA. Hourly distribution factors are developed from traffic count data 

collected in the region from 2004-2006 and the same set of hourly distribution factors are used 

for all vehicle types and road types. OKI model could only predict VMT of two different vehicle 

types’ autos and trucks. So, we have distributed total Annual VMT based on vehicle population 

in the region. 

Table 2.41 : Annual VMT for Ohio Custom Domain from OKI travel demand model for 2005 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2005 67065022 0 

20 2005 7405961237 0 

30 2005 4943917030 0 

40 2005 24512225 0 

50 2005 334351024 0 

60 2005 567810955 0 

Table 2.41a :Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2005 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2005 16658465 0 

20 2005 1815341688 0 

30 2005 1209494070 0 

40 2005 5968488 0 

50 2005 82065068 0 

60 2005 160708291 0 

Table 2.42: Annual VMT for Ohio Custom Domain from OKI travel demand model for 2008 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2008 69438850 0 

20 2008 7668102136 0 

30 2008 5118911580 0 

40 2008 25379858 0 

50 2008 346185690 0 

60 2008 587909153 0 
29 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

Table 2.42a : Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2008 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2008 17342291 0 

20 2008 1889861055 0 

30 2008 1259143528 0 

40 2008 6213493 0 

50 2008 85433821 0 

60 2008 167305330 0 

Table 2.43: Annual VMT for Ohio Custom Domain from OKI travel demand model for 2011 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2008 69438850.44 0 

20 2008 7668102136 0 

30 2008 5118911580 0 

40 2008 25379858.39 0 

50 2008 346185689.5 0 

60 2008 587909153 0 

Table2.43a: Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2011 

Table 2.44 : Annual VMT for Ohio Custom Domain from OKI travel demand model for 2015 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2015 73413634 0 

20 2015 8107035747 0 

30 2015 5411925719 0 

40 2015 26832639 0 

50 2015 366001875 0 

60 2015 621561950 0 

Table 2.44a: Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2015 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2015 19903870 0 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2011 18163152 0 

20 2011 1979313603 0 

30 2011 1318742406 0 

40 2011 6507596 0 

50 2011 89477649 0 

60 2011 175224371 0 
30 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

20 2015 2169006811 0 

30 2015 1445127874 0 

40 2015 7131270 0 

50 2015 98052996 0 

60 2015 192017502 0 

Table 2.45: Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2018 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2018 76802311 0 

20 2018 8481245879 0 

30 2018 5661733109 0 

40 2018 28071199 0 

50 2018 382896041 0 

60 2018 650252434 0 

Table 2.45a: Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2018 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2018 21077884 0 

20 2018 2296944011 0 

30 2018 1530367631 0 

40 2018 7551902 0 

50 2018 103836577 0 

60 2018 203343507 0 

Table 2.46 : Annual VMT for Ohio Custom Domain from OKI travel demand model for 2021 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2021 79128218 0 

20 2021 8738094842 0 

30 2021 5833194979 0 

40 2021 28921317 0 

50 2021 394491797 0 

60 2021 669944902 0 

Table 2.46a : Annual VMT for Kentucky Custom Domain from OKI travel demand model for 2021 

HPMSVtypeID yearID HPMSBaseYearVMT baseYearOffNetVMT

10 2021 21702396 0

20 2021 2364999583 0

30 2021 1575710506 0

40 2021 7775656 0

50 2021 106913124 0

60 2021 209368320 0
31 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

Table 2.47 : Day VMT Fractions used in all RunSpecs

sourceTypeID monthID roadTypeID dayID dayVMTFraction

11 1 1 2 0.237635

11 1 1 5 0.762365 

11 1 2 2 0.237635 

11 1 2 5 0.762365 

11 1 3 2 0.237635 

11 1 3 5 0.762365 

11 1 4 2 0.237635 

11 1 4 5 0.762365 

11 1 5 2 0.237635 

11 1 5 5 0.762365 

Table 2.48: Hour VMT Fractions used in all RunSpecs

sourceTypeID roadTypeID dayID hourID hourVMTFraction

11 1 2 1 0.021474 

11 1 2 2 0.014443 

11 1 2 3 0.010968 

11 1 2 4 0.007495 

11 1 2 5 0.006839 

11 1 2 6 0.010359 

11 1 2 7 0.01843 

11 1 2 8 0.026812 

11 1 2 9 0.036385 

11 1 2 10 0.047541 

11 1 2 11 0.057466 

11 1 2 12 0.065079 

11 1 2 13 0.071323 

11 1 2 14 0.071492 

11 1 2 15 0.071723 

11 1 2 16 0.072006 

11 1 2 17 0.071149 

11 1 2 18 0.067887 

11 1 2 19 0.061772 

11 1 2 20 0.051688 

11 1 2 21 0.042866 

11 1 2 22 0.03803 

11 1 2 23 0.032207 

11 1 2 24 0.024568 
32 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2.5 Average Speed Distribution Importer 

This importer allows the user to input average speed data specific to vehicle type, road type, 

and time of day/ type of day. The MOVES model defines 16 “speed bins” which describe the 

average driving speed on each road type. Unlike MOBILE 6.2 model, which uses VMT-based 

speed distribution, MOVES uses fraction of driving time in each speed bin for each vehicle type, 

for each road type, and for each hour. Thus, for each combination of vehicle type, road type, 

and hour/day type, the fractions will add to one. This importer was not used for the PM2.5 

analysis. OKI utilized a FORTRAN program to post-process OKI Travel Demand Model results 

into VHT distribution by the MOVES 16 average speed bins. 

2.6 Road Type Distribution Importer 

VHT distribution by the fives MOVES roadway types is provided from the OKI Travel Demand 

Model thru the use of post-processing FORTRAN program. OKI travel demand model can 

calculate the VMT or VHT distribution by functional class, which is further processed to obtain 

road type VMT/VHT distribution. But, our model could not predict off network VMT, which is 

assumed as zero. 

2.7 Ramp Fraction Importer 

This option allows the user to modify the fraction of ramp driving time on selected road types. 

But, in the current version of MOVES model (MOVES2010), the emission rates for ramps are 

erroneously calculated. To circumvent this problem, FHWA has suggested a temporary 

solution. This solution discussed in the Section 3. 

2.8 Fuel Formulation Importer and Fuel Supply Importer 

The Fuel formulation importer allows the user to select an existing fuel in the MOVES database 

and change its properties, or create a new fuel formulation with different fuel properties. But 

we have used only default fuels available in MOVES default database. The default values were 

verified by ODOT and KDAQ. Fuel supply importer allows the user to assign existing fuels to 

counties, months, and years, and the associated market share for each fuel. We have used 

default fuel supply from MOVES default database. The same type of fuel is used for the entire 

custom domain. 

Table 2.81 : Fuel supply data for Ohio Custom Domain ( same for all years) 

countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV

99390 2008 1 3982 1 

99390 2008 1 20011 1 
33 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

99390 2008 2 3982 1 

99390 2008 2 20011 1 

99390 2008 3 3982 1 

99390 2008 3 20011 1 

99390 2008 4 3982 1 

99390 2008 4 20011 1 

99390 2008 5 3982 1 

99390 2008 5 20011 1 

99390 2008 6 3982 1 

99390 2008 6 20011 1 

99390 2008 7 3982 1 

99390 2008 7 20011 1 

99390 2008 8 3982 1 

99390 2008 8 20011 1 

99390 2008 9 3982 1 

99390 2008 9 20011 1 

99390 2008 10 3982 1 

99390 2008 10 20011 1 

99390 2008 11 3982 1 

99390 2008 11 20011 1 

99390 2008 12 3982 1 

99390 2008 12 20011 1 

Table2.82: Fuel supply data for Kentucky Custom Domain (same for all years) 

countyID fuelYearID monthGroupID fuelFormulationID marketShare marketShareCV

99210 2012 1 3982 1 

99210 2012 1 20011 1 

99210 2012 2 3982 1 

99210 2012 2 20011 1 

99210 2012 3 3982 1 

99210 2012 3 20011 1 

99210 2012 4 3982 1 

99210 2012 4 20011 1 

99210 2012 5 3982 1 

99210 2012 5 20011 1 

99210 2012 6 3982 1 

99210 2012 6 20011 1 

99210 2012 7 3982 1 

99210 2012 7 20011 1 

99210 2012 8 3982 1 

99210 2012 8 20011 1 

99210 2012 9 3982 1 

99210 2012 9 20011 1 

99210 2012 10 3982 1 

99210 2012 10 20011 1 

99210 2012 11 3982 1 
34 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

99210 2012 11 20011 1 

99210 2012 12 3982 1 

99210 2012 12 20011 1 

2.9 Inspection and Maintenance (I/M) Importer 

The I/M Importer allows the user to import information describing the inspection and 

maintenance programs. The MOVES default database includes an I/M program for this regional 

although it was suspended in 2005. The default I/M program was turned “off” for all analysis 

years 2008 and later, by inserting “N” in the “useIMyn” field. 

2.10 Zone Road Activity Importer 

The Zone Road Activity Importer is used only if the Custom Domain option is chosen in the 

County Domain Manager. We have used value 1 for SHOallocfactor for each road type which 

means that all of the VMT input by the users is assigned to custom domain. 

Table 2.11 : Kentucky Custom Domain Zone road activity data (same for all years) 

zoneID roadTypeID SHOAllocFactor 

992100 1 1 

992100 2 1 

992100 3 1 

992100 4 1 

992100 5 1 

Table 2.12 : Ohio Custom Domain Zone road activity data (same for all years) 

zoneID roadTypeID SHOAllocFactor 

993900 1 1 

993900 2 1 

993900 3 1 

993900 4 1 

993900 5 1 

3. Ramp Inventory Runs 

As discussed earlier, current version of the MOVES (MOVES2010) model cannot calculate 

Emission Rates for Ramps. To deal with this problem, FHWA has suggested an approach. The 

steps involved in this method are: (a) Calculating Emission Inventory for Urban Restricted and 

Rural Restricted road types keeping Ramp fraction as 1 (b) Finding out total VMT of Urban 

Restricted and Rural Restricted road types using MOVESactivityoutput option (c) Calculation 
35 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

Emission Rates for Ramps through dividing Emission Inventory with VMT (d) Finally, using the 

Emission Rates in post processing for calculating regional Emission Inventory. 

Table 3.1 :Ramp fraction Input 

roadTypeID rampFraction

2 1

4 1
36 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

4. Post-Processing of MOVES Output 

4.1 Linking SQL tables to Microsoft Access 

Microsoft Access 2007 was used for the post-processing. An ODBC connection with the MOVES 

output directory was established. Information on how to link or import SQL tables to Access 

can be found in the MOVES Users Guide. 

4.2 Creating Emission Rate Lookup Tables 

The ratepervehicle and rateperdistance SQL tables, one set for each state (Kentucky and Ohio) 

and analysis year, were imported into Access. Ohio emission rates are used for the 

nonattainment portion of Dearborn County Indiana. Rateperprofile output was not generated 

by MOVES because evaporative output was not selected (i.e. VOC). Tables were renamed with 

state and analysis year in the format OH_20xxrateperdistance. All rateperdistance tables were 

merged with a Union query. The SQL commands are shown in Figure 4.21. ratepervehicle 

tables were merged in the same manner. 

 

Table 4.21 :Rateperdistance Union Query 

SELECT * 

FROM OH_2008rateperdistance 

WHERE MOVESRunID = (select max (MOVESRunID) from OH_2008rateperdistance) AND 

pollutantID = 3 Or MOVESRunID = (select max (MOVESRunID) from 

OH_2008rateperdistance) AND pollutantID=110 Or MOVESRunID = (select max 

(MOVESRunID) from OH_2008rateperdistance) AND pollutantID=116 Or MOVESRunID = 

(select max (MOVESRunID) from OH_2008rateperdistance) AND pollutantID=117 Or 

MOVESRunID = (select max (MOVESRunID) from OH_2008rateperdistance) AND 

pollutantID = 31 

UNION ALL select * 

FROM OH_2011rateperdistance 

WHERE ..... (repeated for each file) 

“Rateperdistance_state” and “Ratepervehicle_state” tables were created from the union query 

output using a Make Table query. Emission rates for each process were summed by pollutant 

and a stateID field is created. The SQL commands for creating the “Rateperdistance_state” 

table are shown in Table 4.22. Unique index fields were identified for each of the two tables. 

Indexes facilitate more efficient data processing. 

Table 4.22: Rateperdistance_State Query 

SELECT Val(Mid([LinkID],3,2)) AS StateID, Union_rateperdistance_state.yearID, 

Union_rateperdistance_state.monthID, Union_rateperdistance_state.linkID, 

Union_rateperdistance_state.hourID, Union_rateperdistance_state.sourceTypeID, 

Union_rateperdistance_state.roadTypeID, 

Union_rateperdistance_state.avgSpeedBinID, 

Union_rateperdistance_state.pollutantID, 

Sum(Union_rateperdistance_state.ratePerDistance) AS SumOfratePerDistance INTO 

rateperdistance_state 
37 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

FROM Union_rateperdistance_state 

GROUP BY Val(Mid([LinkID],3,2)), Union_rateperdistance_state.yearID, 

Union_rateperdistance_state.monthID, Union_rateperdistance_state.linkID, 

Union_rateperdistance_state.hourID, Union_rateperdistance_state.sourceTypeID, 

Union_rateperdistance_state.roadTypeID, 

Union_rateperdistance_state.avgSpeedBinID, 

Union_rateperdistance_state.pollutantID 

ORDER BY Union_rateperdistance_state.linkID, 

Union_rateperdistance_state.hourID, Union_rateperdistance_state.pollutantID; 

4.3 Creating a VMT Table by County 

The VMT table includes Daily VMT by county by analysis year from the OKI Travel Demand 

Model (TDM). Summer factors and applied by functional class to create Summer VMT. 

Seasonal factors by functional class are contained in the report, “OKI Travel Demand 

Forecasting Model, Update of Hourly and Seasonal Factors as Used in Air Quality Impact 

Calculations”, September 2001. Annual VMT is calculated by using EPA’s VMT converter to 

grow daily VMT to annual VMT. In order to accommodate an error in MOVES 2010, all VMT 

values are exclusive of ramp VMT. Ramp VMT and emission are added in later in the process. 

In order to apply the emission rates, it is necessary to factor the county VMT by source type, 

hour, road type and speed bin. 

Table 4.3 : VMT and Source Type Population by County and Year 

County Daily VMT Summer 

VMT 

Annual VMT yearID SourceType

Population 

stateID

Boone 3924117 4186006 1273226984 2005 129823 21

Boone 4076584 4355527 1350001557 2008 134028 21

Boone 4383716 4681593 1448879510 2011 136181 21

Boone 4950741 5276742 1628041303 2015 140590 21

Boone 5260102 5597287 1729595179 2018 143991 21

Boone 5478224 5826768 1800571708 2021 147476 21

Campbell 2286217 2437698 741790605 2005 86065 21

Campbell 2339542 2495174 774762729 2008 88853 21

Campbell 2421600 2582758 800372702 2011 90279 21

Campbell 2663159 2844504 875774499 2015 93204 21

Campbell 2771476 2958827 911300109 2018 95458 21

Campbell 2849127 3041704 936445364 2021 97768 21

Kenton 3927743 4182042 1274091658 2005 148193 21

Kenton 3927332 4185652 1300575265 2008 152992 21

Kenton 4049886 4327836 1338544021 2011 155451 21

Kenton 4341124 4614242 1427569992 2015 160484 21

Kenton 4629694 4880614 1522308203 2018 164368 21

Kenton 4715306 5006383 1549817345 2021 168343 21

Butler 578641 7804476 196737836 2005 24915 39
38 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

Butler 587582 8133554 199777880 2008 25722 39

Butler 605620 8454053 205910800 2011 26135 39

Butler 657778 8768598 223644400 2015 26982 39

Butler 684361 9232457 232682740 2018 27635 39

Butler 706828 9592567 240321520 2021 28303 39

Clermont 7452286 5391578 2469166037 2005 401759 39

Clermont 7745685 5599530 2598059212 2008 414771 39

Clermont 8050701 5841102 2693716250 2011 421434 39

Clermont 8361487 6035155 2792188144 2015 435082 39

Clermont 8806042 6314640 2940849935 2018 445608 39

Clermont 9150031 6562428 2966037449 2021 456389 39

Dearborn NA 5083331 599761 1684259908 2005 232380 39

Dearborn NA 5262489 613027 1765145113 2008 239906 39

Dearborn NA 5489545 631914 1836768820 2011 243760 39

Dearborn NA 5687698 685272 1899318043 2015 251654 39

Dearborn NA 5952603 712461 1987920583 2018 257742 39

Dearborn NA 6186441 735862 2005371969 2021 263978 39

Hamilton 21859452 23170766 7241529618 2005 862422 39

Hamilton 22124503 23447460 7421005221 2008 890352 39

Hamilton 22426021 23803187 7503612070 2011 904655 39

Hamilton 22849494 24259554 7630232069 2015 933953 39

Hamilton 23630554 25096560 7891617279 2018 956548 39

Hamilton 24098698 25596996 7811737549 2021 979689 39

Warren 5884216 6263010 1949617151 2005 233106 39

Warren 6057338 6464217 2031753523 2008 240655 39

Warren 6406284 6835660 2143504189 2011 244521 39

Warren 6842828 7279441 2285055662 2015 252440 39

Warren 7368035 7836746 2460615706 2018 258547 39

Warren 7707500 8194596 2498432370 2021 264802 39

4.4 Source type population and source type VMT distribution 

A combination of local and MOVES default data were used for the source type populations. The 

source type VMT fractions are based on the ratio of MOVES default source type population and 

MOVES default source type VMT. It is assumed that the growth rate of source type populations 

is equal to the regional annual household growth rate of 0.8%. Source type VMT fractions are 

the same for all analysis years. 
39 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

Table 4.4: Base Year Source Type Population and VMT Fraction 

stateID sourceTypeID sourceType

Population 

sourceTypeFraction sourceTypeVMTFraction

39 11 69121 0.038559 0.005026

39 21 1200827 0.669872 0.555019

39 31 486373 0.271319 0.277725

39 32 15947 0.008896 0.092783

39 41 458 0.000255 0.000754

39 42 82 0.000046 0.000225

39 43 3681 0.002053 0.000858

39 51 0 0.000000 0.000644

39 52 369 0.000206 0.020527

39 53 364 0.000203 0.002663

39 54 4928 0.002749 0.001224

39 61 4879 0.002722 0.017977

39 62 5593 0.003120 0.024576

21 11 8040 0.021370 0.005063

21 21 198623 0.527931 0.551736

21 31 121506 0.322958 0.275546

21 32 40593 0.107894 0.092055

21 41 128 0.000340 0.000745

21 42 21 0.000056 0.000222

21 43 985 0.002618 0.000847

21 51 0 0.000000 0.000641

21 52 767 0.002039 0.020433

21 53 757 0.002012 0.002650

21 54 1390 0.003695 0.001218

21 61 1593 0.004234 0.020634

21 62 1826 0.004853 0.028210

4.5 Hourly distribution 

Hourly distribution factors were derived from OKI’s traffic count database using 2004-2006 

counts. 

4.6 Road type distribution 

Road type VMT fractions by source type are default values, except for passenger cars (source 

type 21) and passenger trucks (source type 31). VMT fractions from the OKI TDM are used for 

passenger cars and passenger trucks. 
40 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

Table 4.6: Base Year Source Type Population and VMT Fraction

sourceTypeID roadTypeID roadTypeVMTFraction stateID

21 1 0 21

21 2 0.0952 21

21 3 0.0818 21

21 4 0.4741 21

21 5 0.3489 21

31 1 0 21

31 2 0.0952 21

31 3 0.0818 21

31 4 0.4741 21

31 5 0.3489 21

21 1 0 39

21 2 0.0436 39

21 3 0.1256 39

21 4 0.4143 39

21 5 0.4165 39

31 1 0 39

31 2 0.0436 39

31 3 0.1256 39

31 4 0.4143 39

31 5 0.4165 39

4.7 Average speed distribution 

Average speed fractions for each of the 16 speed bins are provided by the OKI TDM. The 

average speed fractions vary by state, year, road type and hour. 

Table 4.7: Average Speed Distribution (Example: only road type 2, year 2011, Ohio values shown) 

roadTypeID hourID avgSpeedBinID avgSpeedFraction YearID stateID

2 1 1 0.00000000 2011 39

2 1 2 0.00000000 2011 39

2 1 3 0.00000000 2011 39

2 1 4 0.00000000 2011 39

2 1 5 0.00000000 2011 39

2 1 6 0.00000000 2011 39

2 1 7 0.00000000 2011 39

2 1 8 0.00000000 2011 39
41 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 1 9 0.00000000 2011 39

2 1 10 0.11922233 2011 39

2 1 11 0.12547629 2011 39

2 1 12 0.19752816 2011 39

2 1 13 0.00589550 2011 39

2 1 14 0.00000000 2011 39

2 1 15 0.55187773 2011 39

2 1 16 0.00000000 2011 39

2 2 1 0.00000000 2011 39

2 2 2 0.00000000 2011 39

2 2 3 0.00000000 2011 39

2 2 4 0.00000000 2011 39

2 2 5 0.00000000 2011 39

2 2 6 0.00000000 2011 39

2 2 7 0.00000000 2011 39

2 2 8 0.00000000 2011 39

2 2 9 0.00000000 2011 39

2 2 10 0.11922233 2011 39

2 2 11 0.12547629 2011 39

2 2 12 0.19752816 2011 39

2 2 13 0.00589550 2011 39

2 2 14 0.00000000 2011 39

2 2 15 0.55187773 2011 39

2 2 16 0.00000000 2011 39

2 3 1 0.00000000 2011 39

2 3 2 0.00000000 2011 39

2 3 3 0.00000000 2011 39

2 3 4 0.00000000 2011 39

2 3 5 0.00000000 2011 39

2 3 6 0.00000000 2011 39

2 3 7 0.00000000 2011 39

2 3 8 0.00000000 2011 39

2 3 9 0.00000000 2011 39

2 3 10 0.11922233 2011 39

2 3 11 0.12547629 2011 39

2 3 12 0.19752816 2011 39

2 3 13 0.00589550 2011 39

2 3 14 0.06436270 2011 39
42 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 3 15 0.48751503 2011 39

2 3 16 0.00000000 2011 39

2 4 1 0.00000000 2011 39

2 4 2 0.00000000 2011 39

2 4 3 0.00000000 2011 39

2 4 4 0.00000000 2011 39

2 4 5 0.00000000 2011 39

2 4 6 0.00000000 2011 39

2 4 7 0.00000000 2011 39

2 4 8 0.00000000 2011 39

2 4 9 0.00000000 2011 39

2 4 10 0.11922233 2011 39

2 4 11 0.12547629 2011 39

2 4 12 0.19752816 2011 39

2 4 13 0.00589550 2011 39

2 4 14 0.12369152 2011 39

2 4 15 0.42818621 2011 39

2 4 16 0.00000000 2011 39

2 5 1 0.00000000 2011 39

2 5 2 0.00000000 2011 39

2 5 3 0.00000000 2011 39

2 5 4 0.00000000 2011 39

2 5 5 0.00000000 2011 39

2 5 6 0.00000000 2011 39

2 5 7 0.00000000 2011 39

2 5 8 0.00000000 2011 39

2 5 9 0.00000000 2011 39

2 5 10 0.11922233 2011 39

2 5 11 0.12547629 2011 39

2 5 12 0.26189086 2011 39

2 5 13 0.09782827 2011 39

2 5 14 0.06250896 2011 39

2 5 15 0.33307330 2011 39

2 5 16 0.00000000 2011 39

2 6 1 0.00000000 2011 39

2 6 2 0.12369152 2011 39

2 6 3 0.03260396 2011 39

2 6 4 0.03085494 2011 39
43 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 6 5 0.01601927 2011 39

2 6 6 0.01563475 2011 39

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2 6 12 0.19752816 2011 39

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2 6 14 0.00278921 2011 39

2 6 15 0.33028409 2011 39

2 6 16 0.00000000 2011 39

2 7 1 0.21880443 2011 39

2 7 2 0.00000000 2011 39

2 7 3 0.00278921 2011 39

2 7 4 0.00000000 2011 39

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2 7 13 0.00589550 2011 39

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2 7 15 0.14247115 2011 39

2 7 16 0.00000000 2011 39

2 8 1 0.21880443 2011 39

2 8 2 0.00278921 2011 39

2 8 3 0.01131028 2011 39

2 8 4 0.01356074 2011 39

2 8 5 0.05711912 2011 39

2 8 6 0.03514937 2011 39

2 8 7 0.02902228 2011 39

2 8 8 0.01193860 2011 39

2 8 9 0.07229727 2011 39

2 8 10 0.05473480 2011 39
44 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 8 11 0.08493157 2011 39

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2 10 3 0.01563475 2011 39

2 10 4 0.00000000 2011 39

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2 10 10 0.11922233 2011 39

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2 10 12 0.18621788 2011 39

2 10 13 0.00589550 2011 39

2 10 14 0.04428952 2011 39

2 10 15 0.28599457 2011 39

2 10 16 0.00000000 2011 39
45 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 11 1 0.06436270 2011 39

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2 11 3 0.01601927 2011 39

2 11 4 0.01563475 2011 39

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2 11 16 0.00000000 2011 39

2 12 1 0.06436270 2011 39

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2 12 3 0.04687421 2011 39

2 12 4 0.01563475 2011 39

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2 12 10 0.11922233 2011 39

2 12 11 0.12547629 2011 39

2 12 12 0.20031737 2011 39

2 12 13 0.00589550 2011 39

2 12 14 0.02285135 2011 39

2 12 15 0.30743274 2011 39

2 12 16 0.00000000 2011 39

2 13 1 0.06436270 2011 39

2 13 2 0.09193278 2011 39

2 13 3 0.04687421 2011 39

2 13 4 0.01563475 2011 39

2 13 5 0.00000000 2011 39

2 13 6 0.00000000 2011 39
46 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 13 7 0.00000000 2011 39

2 13 8 0.00000000 2011 39

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2 13 10 0.11922233 2011 39

2 13 11 0.12547629 2011 39

2 13 12 0.19752816 2011 39

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2 13 15 0.33028409 2011 39

2 13 16 0.00000000 2011 39

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2 14 10 0.11922233 2011 39

2 14 11 0.12547629 2011 39

2 14 12 0.19752816 2011 39

2 14 13 0.00868471 2011 39

2 14 14 0.00000000 2011 39

2 14 15 0.33028409 2011 39

2 14 16 0.00000000 2011 39

2 15 1 0.06436270 2011 39

2 15 2 0.09193278 2011 39

2 15 3 0.04687421 2011 39

2 15 4 0.01563475 2011 39

2 15 5 0.00000000 2011 39

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2 15 8 0.00000000 2011 39

2 15 9 0.00000000 2011 39

2 15 10 0.11922233 2011 39

2 15 11 0.12547629 2011 39

2 15 12 0.19752816 2011 39
47 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 15 13 0.00868471 2011 39

2 15 14 0.02285135 2011 39

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2 16 15 0.28599457 2011 39

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2 17 7 0.00278921 2011 39

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2 17 14 0.00000000 2011 39

2 17 15 0.28599457 2011 39

2 17 16 0.00000000 2011 39

2 18 1 0.15629548 2011 39

2 18 2 0.04687421 2011 39
48 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 18 3 0.01563475 2011 39

2 18 4 0.00000000 2011 39

2 18 5 0.00000000 2011 39

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2 18 9 0.00000000 2011 39

2 18 10 0.11922233 2011 39

2 18 11 0.13957578 2011 39

2 18 12 0.18621788 2011 39

2 18 13 0.00589550 2011 39

2 18 14 0.04428952 2011 39

2 18 15 0.28599457 2011 39

2 18 16 0.00000000 2011 39

2 19 1 0.00000000 2011 39

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2 19 5 0.06436270 2011 39

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2 19 13 0.00589550 2011 39

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2 20 4 0.00000000 2011 39

2 20 5 0.00000000 2011 39

2 20 6 0.00000000 2011 39

2 20 7 0.00000000 2011 39

2 20 8 0.00000000 2011 39
49 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 20 9 0.00000000 2011 39

2 20 10 0.11922233 2011 39

2 20 11 0.12547629 2011 39

2 20 12 0.19752816 2011 39

2 20 13 0.00589550 2011 39

2 20 14 0.15629548 2011 39

2 20 15 0.39558226 2011 39

2 20 16 0.00000000 2011 39

2 21 1 0.00000000 2011 39

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2 21 9 0.00000000 2011 39

2 21 10 0.11922233 2011 39

2 21 11 0.12547629 2011 39

2 21 12 0.19752816 2011 39

2 21 13 0.00589550 2011 39

2 21 14 0.00000000 2011 39

2 21 15 0.55187773 2011 39

2 21 16 0.00000000 2011 39

2 22 1 0.00000000 2011 39

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2 22 10 0.11922233 2011 39

2 22 11 0.12547629 2011 39

2 22 12 0.19752816 2011 39

2 22 13 0.00589550 2011 39

2 22 14 0.00000000 2011 39
50 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

2 22 15 0.55187773 2011 39

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2 23 10 0.11922233 2011 39

2 23 11 0.12547629 2011 39

2 23 12 0.19752816 2011 39

2 23 13 0.00589550 2011 39

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2 23 15 0.55187773 2011 39

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2 24 1 0.00000000 2011 39

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2 24 10 0.11922233 2011 39

2 24 11 0.12547629 2011 39

2 24 12 0.19752816 2011 39

2 24 13 0.00589550 2011 39

2 24 14 0.00000000 2011 39

2 24 15 0.55187773 2011 39

2 24 16 0.00000000 2011 39
51 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

4.8 Creating a VMT Table by State, Year, Source Type, Hour, Road Type, and 

Average Speed Bin 

The ‘StateVMT_MakeTableQuery’ query creates a VMT Table by state, source type, hour, road 

type and average speed utilizing the VMT distribution factors described in 4.4, 4.5, 4.6 and 4.7. 

The SQL commands for this query are shown in Table 4.8. 

Table 4.8 :State VMT Table Query 

SELECT VMT_byBudgetArea.yearID, VMT_byBudgetArea.stateID, 

VMT_byBudgetArea.budgetID, roadtypedistribution1.sourceTypeID, 

hourvmtfraction.hourID, roadtypedistribution1.roadTypeID, 

avgSpeedDistribution.avgSpeedBinID, 

sourecetypepopulation.sourceTypeVMTFraction, hourvmtfraction.hourVMTFraction, 

roadtypedistribution1.roadTypeVMTFraction, 

avgSpeedDistribution.avgSpeedFraction, First(VMT_byBudgetArea.[Annual VMT]) 

AS [FirstOfAnnual VMT], First(VMT_byBudgetArea.[Daily VMT]) AS [FirstOfDaily 

VMT], [FirstOfDaily 

VMT]*[hourVMTFraction]*[sourceTypeVMTFraction]*[roadTypeVMTFraction]*[avgSpee

dFraction] AS DailyVMT, [FirstOfAnnual 

VMT]*[sourceTypeVMTFraction]*[hourVMTFraction]*[roadTypeVMTFraction]*[avgSpee

dFraction] AS AnnualizedVMT INTO StateVMT_Table 

FROM VMT_byBudgetArea INNER JOIN (((avgSpeedDistribution INNER JOIN 

hourvmtfraction ON (avgSpeedDistribution.hourDayID = hourvmtfraction.hourID) 

AND (avgSpeedDistribution.roadTypeID = hourvmtfraction.roadTypeID) AND 

(avgSpeedDistribution.sourceTypeID = hourvmtfraction.sourceTypeID)) INNER 

JOIN roadtypedistribution1 ON (avgSpeedDistribution.stateID = 

roadtypedistribution1.stateID) AND (avgSpeedDistribution.roadTypeID = 

roadtypedistribution1.roadTypeID) AND (avgSpeedDistribution.sourceTypeID = 

roadtypedistribution1.sourceTypeID)) INNER JOIN sourecetypepopulation ON 

(avgSpeedDistribution.sourceTypeID = sourecetypepopulation.sourceTypeID) AND 

(avgSpeedDistribution.stateID = sourecetypepopulation.stateID)) ON 

(VMT_byBudgetArea.yearID = avgSpeedDistribution.YearID) AND 

(VMT_byBudgetArea.stateID = avgSpeedDistribution.stateID) 

GROUP BY VMT_byBudgetArea.yearID, VMT_byBudgetArea.stateID, 

VMT_byBudgetArea.budgetID, roadtypedistribution1.sourceTypeID, 

hourvmtfraction.hourID, roadtypedistribution1.roadTypeID, 

avgSpeedDistribution.avgSpeedBinID, 

sourecetypepopulation.sourceTypeVMTFraction, hourvmtfraction.hourVMTFraction, 

roadtypedistribution1.roadTypeVMTFraction, 

avgSpeedDistribution.avgSpeedFraction 

HAVING (((avgSpeedDistribution.avgSpeedFraction)>0)) 

ORDER BY VMT_byBudgetArea.yearID, VMT_byBudgetArea.stateID, 

hourvmtfraction.hourID; 

5. Combining VMT and Emission Rates; Calculating Total Emissions 

5.1 Summarizing Distance-based Emissions by Source Type 

The daily VMT and annual VMT in each state, year, hour, source type, road type, and speed bin 

is multiplied by the appropriate rate per distance for each pollutant. This query is shown in 

Table 5.1. 
52 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

Table 5.1 :Emissions distance Query 

SELECT StateVMT_Table.stateID, StateVMT_Table.budgetID, 

StateVMT_Table.yearID, rateperdistance_state.monthID, StateVMT_Table.hourID, 

StateVMT_Table.sourceTypeID, StateVMT_Table.roadTypeID, 

StateVMT_Table.avgSpeedBinID, rateperdistance_state.pollutantID, 

StateVMT_Table.DailyVMT, StateVMT_Table.AnnualizedVMT, 

rateperdistance_state.SumOfratePerDistance, [DailyVMT]*[SumOfratePerDistance] 

AS EmissionsDist, [AnnualizedVMT]*[SumOfratePerDistance] AS 

AnnualEmissionsDist 

FROM StateVMT_Table INNER JOIN rateperdistance_state ON 

(StateVMT_Table.stateID = rateperdistance_state.StateID) AND 

(StateVMT_Table.yearID = rateperdistance_state.yearID) AND 

(StateVMT_Table.sourceTypeID = rateperdistance_state.sourceTypeID) AND 

(StateVMT_Table.hourID = rateperdistance_state.hourID) AND 

(StateVMT_Table.roadTypeID = rateperdistance_state.roadTypeID) AND 

(StateVMT_Table.avgSpeedBinID = rateperdistance_state.avgSpeedBinID) 

GROUP BY StateVMT_Table.stateID, StateVMT_Table.budgetID, 

StateVMT_Table.yearID, rateperdistance_state.monthID, StateVMT_Table.hourID, 

StateVMT_Table.sourceTypeID, StateVMT_Table.roadTypeID, 

StateVMT_Table.avgSpeedBinID, rateperdistance_state.pollutantID, 

StateVMT_Table.DailyVMT, StateVMT_Table.AnnualizedVMT, 

rateperdistance_state.SumOfratePerDistance; 

A second query further summarizes the emissions by source type. This is necessary in order to 

combine with vehicle-based emissions that are independent of road type and speed. 

5.2 Summarizing Vehicle-based Emissions by Source type 

The source population for each county, year, hour, and source type is multiplied by the rate per 

vehicle for each pollutant. This query is shown in Table 5.2. 

 

Table 5.2: Emissions Vehicle Query 

SELECT VMT_byBudgetArea.budgetID, VMT_byBudgetArea.stateID, 

ratepervehicle_state.yearID, ratepervehicle_state.monthID, 

ratepervehicle_state.hourID, ratepervehicle_state.sourceTypeID, 

sourecetypepopulation.sourceTypeFraction, 

VMT_byBudgetArea.SourceTypePopulation, ratepervehicle_state.pollutantID, 

ratepervehicle_state.SumOfratePerVehicle, 

((Nz([VMT_byBudgetArea]!sourceTypePopulation*[sourceTypeFraction],0)/24)) AS 

STPop, Nz([VMT_byBudgetArea]!sourceTypePopulation*[sourceTypeFraction],0) AS 

STPop2, 

Nz([VMT_byBudgetArea]!sourceTypePopulation*[sourceTypeFraction]*[SumOfratePer

Vehicle],0) AS emissionsVehicle, 

Nz(([VMT_byBudgetArea]!sourceTypePopulation*[sourceTypeFraction]*[SumOfratePe

rVehicle])*365,0) AS AnnualemissionsVehicle 

FROM (sourecetypepopulation INNER JOIN ratepervehicle_state ON 

(sourecetypepopulation.sourceTypeID = ratepervehicle_state.sourceTypeID) AND 

(sourecetypepopulation.stateID = ratepervehicle_state.StateID)) INNER JOIN 

VMT_byBudgetArea ON (ratepervehicle_state.StateID = VMT_byBudgetArea.stateID) 

AND (ratepervehicle_state.yearID = VMT_byBudgetArea.yearID) 

GROUP BY VMT_byBudgetArea.budgetID, VMT_byBudgetArea.stateID, 

ratepervehicle_state.yearID, ratepervehicle_state.monthID, 

ratepervehicle_state.hourID, ratepervehicle_state.sourceTypeID, 

sourecetypepopulation.sourceTypeFraction, 

VMT_byBudgetArea.SourceTypePopulation, ratepervehicle_state.pollutantID, 

ratepervehicle_state.SumOfratePerVehicle; 
53 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

5.3 Ramp Emissions 

Ramp emission rates, calculated as discussed in Section 3, are multiplied by ramp VMT in each 

state, year and source type. This query is shown in Table 5.3.

Table 5.3: Ramp Emissions Query

SELECT VMT_byBudgetArea.stateID, VMT_byBudgetArea.yearID, 

hourvmtfraction.hourID, hourvmtfraction.sourceTypeID, 

hourvmtfraction.hourVMTFraction, ramp_rate.pollutantID, 

VMT_byBudgetArea.[Ramp VMT], ([Ramp VMT]*[hourVMTFraction])/13 AS 

HourlyRampVMT, ramp_rate.ramprate, [HourlyRampVMT]*[ramprate] AS 

RampEmissions, ([HourlyRampVMT]*[ramprate])*340 AS RampEmissionsAnnual 

FROM (hourvmtfraction INNER JOIN ramp_rate ON hourvmtfraction.hourID = 

ramp_rate.hourID) INNER JOIN VMT_byBudgetArea ON (ramp_rate.yearID = 

VMT_byBudgetArea.yearID) AND (ramp_rate.StateID = VMT_byBudgetArea.stateID) 

WHERE (((hourvmtfraction.roadTypeID)=4)) 

ORDER BY VMT_byBudgetArea.stateID, VMT_byBudgetArea.yearID, 

hourvmtfraction.hourID, hourvmtfraction.sourceTypeID, ramp_rate.pollutantID;

5.4 Summarizing Results 

Distance-based emissions by source type, vehicle-based emissions by source type, and ramp emissions 

by source type are summed by state, year and pollutant. This query is shown below. This is also where 

criteria may be set for limiting the results. A sum of VMT and source type population is also useful as a 

verification that all steps were run properly. The appropriate monthID criteria should be set here. The 

annual average temperature profile is contained in April (monthID=4). 

Table 5.41:Results by State Query 

SELECT EmissionsDistance_bySourceType_State.stateID, 

EmissionsDistance_bySourceType_State.budgetID, EmissionsDistance_bySourceType_State.yearID, 

EmissionsDistance_bySourceType_State.pollutantName,

Sum(EmissionsDistance_bySourceType_State.SumOfDailyVMT) AS SumOfSumOfDailyVMT, 

Sum(RampEmissions_Query_State.HourlyRampVMT) AS SumOfHourlyRampVMT1, 

Sum(EmissionsDistance_bySourceType_State.SumOfAnnualizedVMT) AS SumOfSumOfAnnualizedVMT, 

First(EmissionsVehicle_Query_State.SourceTypePopulation) AS FirstOfSourceTypePopulation, 

Sum(EmissionsVehicle_Query_State.SourceTypePopulation) AS SumOfSourceTypePopulation, 

Sum(EmissionsDistance_bySourceType_State.SumOfEmissionsDist) AS SumOfSumOfEmissionsDist, 

Sum(EmissionsDistance_bySourceType_State.SumOfAnnualEmissionsDist) AS 

SumOfSumOfAnnualEmissionsDist, Sum(Nz([emissionsVehicle],0)) AS EmissionsVeh, 

Sum(Nz([AnnualemissionsVehicle],0)) AS AnnualEmissionsVeh, 

Sum(RampEmissions_Query_State.RampEmissions) AS SumOfRampEmissions, 

Sum(RampEmissions_Query_State.RampEmissionsAnnual) AS SumOfRampEmissionsAnnual, 

(([SumOfSumOfEmissionsDist]+[EmissionsVeh]+[SumOfRampEmissions])/1000)*0.001102 AS 

DailyEmissionsTONS, 

(([SumOfSumOfAnnualEmissionsDist]+[AnnualEmissionsVeh]+[SumOfRampEmissionsAnnual])/1000)*0.0

01102 AS AnnualEmissionsTONS 

FROM (EmissionsDistance_bySourceType_State LEFT JOIN EmissionsVehicle_Query_State ON 
54 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

(EmissionsDistance_bySourceType_State.yearID = EmissionsVehicle_Query_State.yearID) AND 

(EmissionsDistance_bySourceType_State.stateID = EmissionsVehicle_Query_State.stateID) AND 

(EmissionsDistance_bySourceType_State.monthID = EmissionsVehicle_Query_State.monthID) AND 

(EmissionsDistance_bySourceType_State.hourID = EmissionsVehicle_Query_State.hourID) AND 

(EmissionsDistance_bySourceType_State.sourceTypeID = EmissionsVehicle_Query_State.sourceTypeID) 

AND (EmissionsDistance_bySourceType_State.pollutantID = EmissionsVehicle_Query_State.pollutantID)) 

INNER JOIN RampEmissions_Query_State ON (EmissionsDistance_bySourceType_State.stateID = 

RampEmissions_Query_State.stateID) AND (EmissionsDistance_bySourceType_State.yearID = 

RampEmissions_Query_State.yearID) AND (EmissionsDistance_bySourceType_State.sourceTypeID = 

RampEmissions_Query_State.sourceTypeID) AND (EmissionsDistance_bySourceType_State.pollutantID = 

RampEmissions_Query_State.pollutantID) AND (EmissionsDistance_bySourceType_State.hourID = 

RampEmissions_Query_State.hourID) 

GROUP BY EmissionsDistance_bySourceType_State.stateID, 

EmissionsDistance_bySourceType_State.budgetID, EmissionsDistance_bySourceType_State.yearID, 

EmissionsDistance_bySourceType_State.pollutantName,

EmissionsDistance_bySourceType_State.monthID, EmissionsDistance_bySourceType_State.pollutantID 

HAVING (((EmissionsDistance_bySourceType_State.monthID)=4)); 

County-level emissions are also calculated based on county VMT, as reported by the OKI Travel Demand 

Model. Table 5.42 shows the query for calculating the county level results. 

Table 5.42:Results by County Query 

SELECT VMT.State, VMT.County, EmissionsDistance_bySourceType_State.stateID, 

EmissionsDistance_bySourceType_State.budgetID, EmissionsDistance_bySourceType_State.yearID, 

EmissionsDistance_bySourceType_State.pollutantName, VMT.SourceTypePopulation, VMT.[Daily VMT], 

VMT.[Annual VMT], VMT.[All Daily VMT], [Daily VMT]/[SumOfSumOfDailyVMT] AS CountyFraction, 

Sum(EmissionsDistance_bySourceType_State.SumOfDailyVMT) AS SumOfSumOfDailyVMT, 

Sum(RampEmissions_Query_State.HourlyRampVMT) AS SumOfHourlyRampVMT1, 

Sum(EmissionsDistance_bySourceType_State.SumOfAnnualizedVMT) AS SumOfSumOfAnnualizedVMT, 

First(EmissionsVehicle_Query_State.SourceTypePopulation) AS FirstOfSourceTypePopulation, 

Sum(EmissionsVehicle_Query_State.SourceTypePopulation) AS SumOfSourceTypePopulation, 

Sum(EmissionsDistance_bySourceType_State.SumOfEmissionsDist) AS SumOfSumOfEmissionsDist, 

Sum(EmissionsDistance_bySourceType_State.SumOfAnnualEmissionsDist) AS 

SumOfSumOfAnnualEmissionsDist, Sum(Nz([emissionsVehicle],0)) AS EmissionsVeh, 

Sum(Nz([AnnualemissionsVehicle],0)) AS AnnualEmissionsVeh, 

Sum(RampEmissions_Query_State.RampEmissions) AS SumOfRampEmissions, 

Sum(RampEmissions_Query_State.RampEmissionsAnnual) AS SumOfRampEmissionsAnnual, 

(([SumOfSumOfEmissionsDist]+[EmissionsVeh]+[SumOfRampEmissions])/1000)*0.001102 AS 

DailyEmissionsTONS, 

(([SumOfSumOfAnnualEmissionsDist]+[AnnualEmissionsVeh]+[SumOfRampEmissionsAnnual])/1000)*0.0

01102 AS AnnualEmissionsTONS, [DailyEmissionsTONS]*[CountyFraction] AS CountyDailyEmissions, 

[AnnualEmissionsTONS]*[CountyFraction] AS CountyAnnualEmissions 

FROM VMT INNER JOIN ((EmissionsDistance_bySourceType_State LEFT JOIN 

EmissionsVehicle_Query_State ON (EmissionsDistance_bySourceType_State.pollutantID = 

EmissionsVehicle_Query_State.pollutantID) AND (EmissionsDistance_bySourceType_State.sourceTypeID 

= EmissionsVehicle_Query_State.sourceTypeID) AND (EmissionsDistance_bySourceType_State.hourID = 
55 Appendix: OKI Technical Documentation for Using EPA MOVES to Develop Mobile Source Emissions

EmissionsVehicle_Query_State.hourID) AND (EmissionsDistance_bySourceType_State.monthID = 

EmissionsVehicle_Query_State.monthID) AND (EmissionsDistance_bySourceType_State.stateID = 

EmissionsVehicle_Query_State.stateID) AND (EmissionsDistance_bySourceType_State.yearID = 

EmissionsVehicle_Query_State.yearID)) INNER JOIN RampEmissions_Query_State ON 

(EmissionsDistance_bySourceType_State.hourID = RampEmissions_Query_State.hourID) AND 

(EmissionsDistance_bySourceType_State.pollutantID = RampEmissions_Query_State.pollutantID) AND 

(EmissionsDistance_bySourceType_State.sourceTypeID = RampEmissions_Query_State.sourceTypeID) 

AND (EmissionsDistance_bySourceType_State.yearID = RampEmissions_Query_State.yearID) AND 

(EmissionsDistance_bySourceType_State.stateID = RampEmissions_Query_State.stateID)) ON 

(VMT.yearID = EmissionsDistance_bySourceType_State.yearID) AND (VMT.stateID = 

EmissionsDistance_bySourceType_State.stateID) 

GROUP BY VMT.State, VMT.County, EmissionsDistance_bySourceType_State.stateID, 

EmissionsDistance_bySourceType_State.budgetID, EmissionsDistance_bySourceType_State.yearID, 

EmissionsDistance_bySourceType_State.pollutantName, VMT.SourceTypePopulation, VMT.[Daily VMT], 

VMT.[Annual VMT], VMT.[All Daily VMT], EmissionsDistance_bySourceType_State.monthID, 

EmissionsDistance_bySourceType_State.pollutantID 

HAVING (((EmissionsDistance_bySourceType_State.monthID)=4));
APPENDIX D

LADCO Technical Support Document
Regional Air Quality Analyses for

Ozone, PM2.5, and Regional Haze:

Final Technical Support Document

April 25, 2008

States of Illinois, Indiana, Michigan, Ohio, and Wisconsin

The document can be found at:

.b.llP://www.ladco.org@ports/technical sugport document/

tsd/tsd version iv april 25 2008 final.gQf
1

Regional Air Quality Analyses for Ozone, PM2.5, and Regional Haze: 

Final Technical Support Document (Supplement), September 12, 2008

The purpose of this paper is to summarize a new modeling analysis performed by the Lake 

Michigan Air Directors Consortium (LADCO) to address the effect of the recent court decision 

vacating EPA’s Clean Air Interstate Rule (CAIR). This new modeling is intended to supplement 

the LADCO Technical Support Document (“Regional Air Quality Analyses for Ozone, PM2.5, 

and Regional Haze: Final Technical Support Document”, April 25, 2008), which summarizes the 

air quality analyses conducted by LADCO and its contractors to support the development of 

State Implementation Plans for ozone, PM2.5, and regional haze in the States of Illinois, 

Indiana, Michigan, Ohio, and Wisconsin.

Compared to the previous LADCO modeling (Round 5.1), the new modeling shows similar 

results for ozone, but much more nonattainment for PM2.5 and higher visibility levels for 

regional haze. Specifically, the new modeling shows:

Ozone: Attainment of the 0.08 ppm standard by 2009 everywhere in the region, except 

Holland, MI, and nonattainment of the 0.075 ppm standard through at least 2018.

PM2.5: Widespread nonattainment of annual (15 ug/m3) and daily (35 ug/m3) standards.

Haze: Higher visibility levels on the 20% worst visibility days in 2018 in Class I areas in 

the eastern U.S., resulting in most areas being above the glide path.

Background: On July 11, 2008, the U.S. Court of Appeals for D.C. Circuit vacated EPA’s CAIR 

rule (cite). The reductions in NOx and SO2 emissions associated with this rule were a key part 

of the LADCO States’ attainment demonstrations for ozone and PM2.5 and the reasonable 

progress determinations for regional haze. LADCO’s previous modeling (Round 5.1) relied on 

EGU emission projections from EPA’s IPM3.0 analysis, which assumed implementation of 

Phases I and II of CAIR. For this new modeling, alternative EGU emission projections were 

developed, which did not rely on CAIR (or IPM).

Model Set-Up: The new modeling was performed consistent with LADCO’s previous modeling 

(Round 5.1):

Model Version: CAMx v4.50beta_deposition

Future Years: 2009, 2012, 2018

Runs: (a) Ozone: Summer 2005 meteorology with 12 km grids

(b) PM2.5 and haze: Full year 2005 meteorology with 36 km grids

Emission Scenarios: The new modeling assumed the same set of “on the books” controls as 

in LADCO’s previous modeling (Round 5.1) for all sectors, except EGUs. In light of the CAIR 

decision, three new EGU scenarios were prepared:
2

Scenario A: 2007 CEM-based emissions were projected for all states in the modeling domain 

based on EIA growth rates by state (NERC region) and fuel type. The assumed growth rates for 

the Midwest States were: MAIN (IL, IA, MO, WI): 8.8% (2007-2018); ECAR (IN, KY, MI, OH): 

13.5% (2007-2018); and MAPP (MN): 15.1% (2007-2018). No control was applied. The annual 

emissions were temporalized based on profiles derived from 2004-2006 CEM data. (Note, these 

are the same temporal profiles used in Round 5.1.)

Scenario B. Scenario A emissions for the LADCO States and select neighboring states (e.g., 

MN, IA, MO, KY, TN, and WV) were adjusted by applying legally enforceable controls (i.e., 

emission reductions required by a Consent Decree, state rule, or permit). Only those legally 

enforceable controls identified (and justified) by the States were applied. The States also 

supplied the appropriate control factors. A table summarizing the Scenario B controls is provided 

in Appendix I.

Scenario C. For the years 2009 and 2012, Scenario A emissions for all states were adjusted by 

applying all planned SO2 and NOx controls based on the July 10 CAMD list (i.e., 90% reduction 

for scrubbers, 95% reduction for SCRs). Because the July 10 CAMD list only includes controls 

generally out to 2011, additional SO2 and NOx controls for the year 2018 were assumed for all 

BART-eligible EGUs in the five LADCO State plus MN, IA, MO, KY, TN, and MO list (i.e., 90% 

reduction for scrubbers, 95% reduction for SCRs).

1

 All Scenario B controls were included in 

Scenario C. A table summarizing the Scenario C controls is provided in Appendix II.

Table 1 and Figure 1 provide a summary of the 5-state regional NOx and SO2 emissions for 

each scenario and future year. (Note, the CAIR emissions included here are based on EPA’s 

IPM3.0 modeling.) Several comments on the emissions should be noted:

Summer NOx

• There is llittle difference between the three alternative scenarios and CAIR. This 

suggests that summer ozone concentrations for the alternative scenarios are 

likely to be similar to those predicted with CAIR (i.e., Round 5.1).

Annual NOx:

• There is a significant change in emissions between scenarios, mostly during the 

non-summer months.

• Scenario B reflects application of NOx controls in several states (e.g., IL,OH,WI).

• Because there are relatively few SCRs (in the LADCO States) on the CAMD list, 

Scenario C results in only a small emissions decrease compared to Scenario B.

• Assumed BART controls result in a significant emissions decrease.

Annual SO2

• There is a significant change in emissions between scenarios.

• Scenario B reflects application of SO2 controls in several states (e.g., IL,OH,WI).

• Because there are several FGDs (in the LADCO States) on the CAMD list, 

Scenario C results in a large emissions decrease compared to Scenario B.

• Assumed BART controls result in a significant emissions decrease (i.e., even 

lower emissions than the IPM-estimated CAIR emissions).

 

1

 A subsequent analysis was conducted with the following inventory changes: (a) 95% reduction for 

scrubbers, 90% redcuction for SCRs (consistent with EPA’s default assumptions for IPM), and (b)

revisions provided for a few plants in Indiana and Minnesota. The changes resulted in a relatively small 

difference in the regioinal NOx and SO2 emissions (e.g., about a 2% NOx increase and about a 1-2% 

decrease in SO2). To assess the impact of the changes, PM2.5 modleing was conducted with the new 

Scenario B and Scenario C emissions for 2012. The modeling showed little change in the predicted 

PM2.5 concentrations.
3

Figure 1. Regional NOx and SO2 Emissions

Summer NOx Emissions

0

500

1,000

1,500

2,000

2,500

3,000

20052007

2009A

2009B2009C

2009CAIR

2012A

2012B2012C

2012CAIR

2018A

2018B2018C

2018BART

2018CAIR

Annual NOx Emissions

0

200,000

400,000

600,000

800,000

1,000,000

20052007

2009A

2009B2009C

2009CAIR

2012A

2012B2012C

2012CAIR

2018A

2018B2018C

2018BART

2018CAIR

Annual SO2 Emissions

0

500,000

1,000,000

1,500,000

2,000,000

2,500,000

3,000,000

20052007

2009A

2009B2009C

2009CAIR

2012A

2012B2012C

2012CAIR

2018A

2018B2018C

2018BART

2018CAIR
4

Table 1. Regional NOx and SO2 Emissions

Summer NOx Emissions (TPD)

2005 2007 2009 A 2009 B 2009 C

2010 

CAIR 2012 A 2012 B 2012 C

2012 

CAIR 2018 A 2018 B 2018 C

2018 CBART2018 

CAIR

IL 305 305 311 311 311 275 340 236 236 266 333 227 227 219 224

IN 393 393 376 376 374 384 393 393 390 368 410 386 383 292 264

MI 393 393 350 350 350 242 366 366 366 229 377 377 377 260 243

OH 408 408 395 355 335 285 423 351 351 290 431 366 366 230 290

WI 413 413 167 160 160 238 184 170 170 177 183 168 168 168 177

1,912 1,912 1,599 1,552 1,530 1,424 1,706 1,516 1,513 1,330 1,734 1,524 1,521 1,169 1,198

Annual NOx Emissions (TPY)

2005 2007 2009 A 2009 B 2009 C

2010 

CAIR 2012 A 2012 B 2012 C

2012 

CAIR 2018 A 2018 B 2018 C

2018 CBART2018 

CAIR

IL 126,786 121,006 124,917 124,917 124,917 83,224 137,438 81,989 81,989 82,248 135,983 79,771 79,771 63,590 69,958

IN 214,727 203,493 203,776 203,776 201,947 133,188 212,790 212,790 210,877 125,541 221,950 212,805 210,810 177,027 90,415

MI 120,332 112,484 112,478 112,478 112,478 83,117 117,621 117,621 117,621 77,897 122,447 122,447 122,447 89,444 79,543

OH 255,554 240,351 240,016 173,071 164,911 94,346 251,065 172,514 172,514 97,679 261,644 179,737 179,737 125,762 95,678

WI 71,414 54,582 56,540 54,065 54,065 53,032 62,266 57,759 57,759 56,480 61,812 56,952 56,952 56,952 56,158

788,812 731,917 737,727 668,307 658,317 446,908 781,179 642,673 640,760 439,845 803,837 651,712 649,717 512,774 391,752

Annual SO2 Emissions (TPY)

2005 2007 2009 A 2009 B 2009 C

2010 

CAIR 2012 A 2012 B 2012 C

2012 

CAIR 2018 A 2018 B 2018 C

2018 CBART2018 

CAIR

IL 326,598 273,467 281,028 281,028 281,028 295,516 309,209 196,238 194,746 267,110 305,364 106,638 105,152 82,351 275,716

IN 866,964 722,301 721,252 721,252 619,486 374,335 754,323 754,323 558,567 379,144 786,551 764,065 559,945 426,695 359,915

MI 350,694 343,487 343,140 343,140 315,326 227,296 358,879 358,879 301,062 233,204 373,964 373,964 313,677 178,680 242,853

OH 1,100,510 960,820 959,466 959,466 693,438 427,145 1,003,633 897,099 572,807 370,532 1,045,945 819,770 481,623 333,740 315,560

WI 181,426 137,562 142,007 142,007 133,738 139,181 156,659 144,818 133,592 139,203 155,818 144,027 132,849 77,214 127,073

2,826,192 2,437,638 2,446,892 2,446,892 2,043,017 1,463,473 2,582,703 2,351,356 1,760,775 1,389,192 2,667,641 2,208,463 1,593,245 1,098,679 1,321,116
5

Modeling Results: Several tables summarizing the modeling results are provided:

Table 2 - future year ozone and PM2.5 concentrations for key monitors in the 

 LADCO region

Table 3 - number of monitoring sites greater than the National Ambient Air Quality 

 Standards (NNAQS)

Table 4 – visibility levels for Class I areas in the eastern U.S. 

Note, given that Scenario B and BART controls were only applied in an 11-state Midwest 

region, the validity of the results for other Class I areas in the eastern U.S. may be 

questionable. The Scenario C controls, on the other hand, cover all states and are, thus, 

likely valid in other Class I areas.

Spatial plots of the future year ozone and PM2.5 concentrations are provided in Figures 2 – 4. 

Based on these results, the following key findings should be noted:

Ozone 

• There is little change from the previous LADCO modeling (Round 5.1 with CAIR)

• The modeling shows attainment of the 0.08 ppm (85 ppb) standard by 2009, 

except Holland. (Note, Holland does meet this standard by 2012.)

• The modeling shows nonattainment of the 0.075 ppm (75 ppb) standard through 

2018.

PM2.5 - Annual

• There is a significant change from the previous LADCO modeling (Round 5.1 

with CAIR)

• The modeling shows extensive nonattainment of the annual standard.

PM2.5 - Daily 

• There is a significant change from the previous LADCO modeling (Round 5.1 

with CAIR)

• The modeling shows extensive nonattainment of the daily standard.

Haze 

• There is a significant change from the previous LADCO modeling (Round 5.1 

with CAIR)

• The modeling shows higher visibility levels in 2018 for the 20% worst visibility 

days (average about 0.5 deciviews for the northern Class I areas). The resulting 

visibility levels in the northern Class I areas (except Voyageurs) are above the 

glide path.
2005

Round 5 

with CAIR

Round 5 

with CAIR

Round 5 

with CAIR

Site Site ID Base Year Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen.C-BART

Lake Michigan Area

Chiwaukee 550590019 84.7 82.2 82.2 82.0 82.3 81.1 80.8 80.6 80.9 77.2 77.2 77.0 76.0 76.2

Racine 551010017 80.3 77.8 77.8 77.5 77.5 76.6 76.2 76.1 76.1 72.9 72.3 72.1 71.1 71.2

Milwaukee-Bayside 550890085 82.7 79.9 79.9 79.7 79.8 78.5 78.0 78.0 78.0 74.3 73.6 73.4 72.4 72.7

Harrington Beach 550890009 83.3 80.1 80.1 79.9 80.1 78.6 78.1 78.0 78.3 73.9 73.2 73.1 72.2 72.5

Manitowoc 550710007 85.0 80.8 80.8 80.7 80.8 79.0 78.5 78.4 78.6 73.9 73.2 73.1 72.0 72.5

Sheboygan 551170006 88.0 84.1 84.0 83.9 84.0 82.2 81.7 81.5 81.8 76.9 76.0 75.9 74.8 75.4

Kewaunee 550610002 82.7 78.2 78.2 78.0 78.1 76.4 75.9 75.7 75.9 71.3 70.7 70.5 69.4 69.9

Door County 550290004 88.7 84.1 84.1 83.9 83.9 82.0 81.4 81.3 81.5 76.5 75.6 75.5 74.2 74.7

Hammond 180892008 77.7 76.2 76.2 76.0 75.4 75.6 75.3 75.2 74.6 73.2 72.7 72.6 71.7 71.6

Whiting 180890030 79.3 77.8 77.8 77.7 77.0 77.2 76.9 76.8 76.2 74.8 74.3 74.2 73.2 73.1

Michigan City 180910005 77.0 74.5 74.5 74.3 73.9 73.3 72.9 72.8 72.5 69.7 69.2 69.1 68.1 68.1

Ogden Dunes 181270020 78.3 76.3 76.3 76.2 75.6 75.5 75.1 75.0 74.5 72.9 72.3 72.1 71.2 70.8

Holland 260050003 90.0 85.7 85.7 85.5 85.3 83.5 83.1 82.9 82.8 78.2 77.5 77.3 76.0 76.1

Jenison 261390005 82.0 76.8 76.8 76.7 76.0 75.1 74.6 74.5 74.5 70.2 69.6 69.5 67.9 68.7

Muskegon 261210039 85.0 80.6 80.6 80.5 80.5 78.6 78.2 78.1 78.0 73.5 72.8 72.8 71.5 71.9

Indianapolis Area

Noblesville 189571001 82.7 78.3 78.3 78.1 78.1 76.1 75.9 75.7 75.6 70.2 69.9 69.8 68.9 68.7

Fortville 180590003 78.0 74.1 74.1 73.9 73.9 71.9 71.8 71.7 71.4 66.7 66.5 66.3 65.4 65.1

Fort B. Harrison 180970050 78.7 75.4 75.3 75.2 75.1 73.8 73.6 73.6 73.2 70.6 70.3 70.2 69.3 69.1

Detroit Area

New Haven 260990009 86.0 82.4 82.3 82.1 81.4 81.4 81.2 81.1 80.2 78.1 77.8 77.7 76.5 76.1

Warren 260991003 84.0 82.4 82.3 82.2 81.3 82.1 81.8 81.7 80.7 79.7 79.4 79.3 78.0 77.6

Port Huron 261470005 82.7 78.2 78.2 78.1 77.5 76.5 76.3 76.2 75.5 72.6 72.5 72.3 70.9 70.9

Cleveland Area

Ashtabula 390071001 89.0 84.2 84.1 83.9 83.4 82.0 81.8 81.6 81.0 76.8 76.5 76.4 74.8 75.1

Geauga 390550004 79.3 75.8 75.8 75.6 74.7 74.0 73.8 73.7 72.7 69.5 69.2 69.1 67.6 67.3

Eastlake 390850003 86.3 83.1 83.1 82.9 81.9 81.8 81.6 81.5 80.5 78.2 78.0 77.8 76.5 76.2

Akron 391530020 83.7 79.1 79.1 79.0 78.1 76.9 76.7 76.6 75.6 70.9 70.6 70.4 68.7 68.7

Cincinnati Area

Wilmington 390271002 82.3 77.3 77.4 77.1 77.5 75.3 75.2 74.8 74.9 70.1 69.9 69.5 67.1 68.3

Sycamore 390610006 84.7 81.5 81.4 81.1 81.9 80.4 80.2 79.8 80.3 76.4 76.0 75.7 73.5 74.6

Lebanon 391650007 87.7 82.8 82.8 82.4 83.0 80.8 80.7 80.3 80.7 75.4 75.1 74.8 72.6 74.2

Columbus Area

London 390970007 79.7 75.0 75.0 74.8 75.0 73.0 72.8 72.7 72.6 68.1 67.8 67.6 65.9 66.3

New Albany 390490029 86.3 82.1 82.1 81.9 81.8 80.2 80.0 79.9 79.6 74.7 74.3 74.2 73.3 73.0

Franklin 290490028 80.3 76.7 76.6 76.5 75.9 75.1 74.9 74.8 74.1 70.5 70.2 70.1 70.2 69.0

St. Louis Area

W. Alton (MO) 291831002 86.3 81.1 81.2 81.1 81.0 80.0 79.9 79.9 78.6 76.9 76.8 76.7 74.2 74.9

Orchard (MO) 291831004 87.0 82.1 82.1 82.0 82.0 80.9 80.8 80.7 80.0 77.7 77.6 77.4 75.2 76.2

Sunset Hills (MO) 291890004 82.3 79.2 79.2 79.1 78.7 78.3 78.1 78.1 77.1 75.3 75.2 75.1 73.0 73.9

Arnold (MO) 290990012 82.3 77.8 77.8 77.7 77.2 76.7 76.6 76.5 75.6 73.6 73.4 73.4 71.3 72.0

Margaretta (MO) 295100086 83.0 79.8 79.8 79.7 79.3 78.8 78.7 78.6 77.9 75.7 75.6 75.5 73.7 74.4

Maryland Heights (MO) 291890014 87.3 85.4 85.4 85.3 84.0 84.3 84.1 84.0 81.7 81.1 80.9 80.8 78.4 78.1

Round 5 without CAIR Round 5 without CAIR Round 5 without CAIR

Table 2a. Ozone Modeling Results

2009 2012 2018
2005

Round 5 

with CAIR

Round 5 

with CAIR

Round 5 

with CAIR

Site Site ID Base Year Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen.C-BART

Illinois

Chicago - Washington HS 170310022 15.2 14.9 14.8 14.5 14.1 14.8 14.7 14.2 14.0 15.0 14.6 14.2 13.7 13.9

Chicago - Mayfair 170310052 15.8 15.1 15.1 14.8 14.4 15.1 14.9 14.5 14.2 15.1 14.7 14.3 13.7 13.9

Chicago - Springfield 170310057 15.0 14.6 14.6 14.3 13.9 14.6 14.4 14.0 13.8 14.8 14.4 14.0 13.4 13.7

Chicago - Lawndale 170310076 14.9 14.5 14.5 14.2 13.8 14.5 14.3 13.9 13.7 14.7 14.3 13.9 13.3 13.6

Blue Island 170312001 14.8 14.4 14.4 14.0 13.7 14.4 14.2 13.8 13.6 14.5 14.1 13.7 13.2 13.4

Summit 170313301 15.2 14.9 14.9 14.6 14.2 14.9 14.7 14.3 14.0 15.0 14.6 14.3 13.7 13.9

Cicero 170316005 15.5 15.1 15.1 14.8 14.4 15.1 14.9 14.5 14.3 15.2 14.9 14.4 13.9 14.2

Granite City 171191007 16.7 16.3 16.2 15.9 15.1 16.1 16.0 15.3 14.9 15.9 15.6 14.9 14.2 14.3

E. St. Louis 171630010 15.6 15.2 15.2 14.8 14.1 15.0 14.9 14.3 13.9 14.9 14.6 14.0 13.3 13.4

Indiana

Jeffersonville 180190005 16.4 15.8 15.7 14.8 13.8 15.8 15.6 14.5 13.7 16.0 15.5 14.3 13.7 13.4

Jasper 180372001 15.2 14.3 14.2 13.4 12.4 14.2 14.0 13.0 12.2 14.3 13.9 12.8 12.1 11.8

Gary 180890031 15.6 13.9 13.9 13.5 13.0 13.8 13.6 13.1 12.8 13.7 13.4 12.9 12.3 12.4

Indy-Washington Park 180970078 15.3 14.4 14.4 13.6 12.8 14.3 14.2 13.2 12.6 14.3 13.9 12.9 12.2 12.0

Indy-W 18th Street 180970081 16.0 15.1 15.1 14.3 15.0 14.9 13.9 15.0 14.6 13.5 12.8

Indy- Michigan Street 180970083 15.9 15.0 15.0 14.2 13.4 14.9 14.8 13.8 13.1 14.9 14.5 13.5 12.8 12.6

Michigan

Allen Park 261630001 14.5 11.0 14.0 13.5 13.0 14.0 13.8 13.2 12.8 13.9 13.6 13.0 12.4 12.4

Southwest HS 261630015 15.9 15.3 15.3 14.8 14.2 15.2 15.0 14.4 13.9 15.1 14.8 14.1 13.5 13.5

Linwood 261630016 14.6 14.1 14.1 13.6 13.1 14.0 13.9 13.3 12.8 13.9 13.6 13.0 12.5 12.5

Dearborn 261630033 17.5 17.0 17.0 16.4 15.8 16.9 16.7 16.0 15.5 16.8 16.4 15.7 15.1 15.1

Wyandotte 261630036 14.7 14.2 14.1 13.6 13.1 14.1 13.9 13.3 12.8 14.0 13.7 13.0 12.4 12.5

Ohio

Middletown - Bonita 390170003 16.2 15.3 15.2 14.3 13.5 15.2 15.0 13.9 13.2 15.2 14.8 13.7 13.0 12.8

Fairfield 390170016 15.8 15.1 15.0 14.1 13.1 15.1 14.9 13.7 12.9 15.2 14.7 13.5 12.8 12.5

Cleveland-28th Street 390350027 15.4 14.9 14.9 14.3 13.5 14.7 14.5 13.9 13.2 14.6 14.2 13.5 12.8 12.7

Cleveland-St. Tikhon 390350038 17.4 16.7 16.7 16.0 15.2 16.5 16.3 15.6 14.8 16.3 16.0 15.2 14.4 14.3

Cleveland-Broadway 390350045 16.5 15.9 15.8 15.2 14.4 15.6 15.5 14.8 14.0 15.5 15.1 14.4 13.6 13.5

Cleveland-GT Craig 390350060 17.1 16.5 16.4 15.8 15.0 16.3 16.1 15.4 14.6 16.1 15.7 15.0 14.2 14.1

Newburg Hts - Harvard Ave 390350065 16.0 15.4 15.3 14.7 14.0 15.2 15.0 14.3 13.6 15.1 14.7 14.0 13.2 13.1

Columbus - Fairgrounds 390490024 15.3 14.6 14.5 13.7 12.9 14.4 14.1 13.2 12.6 14.2 13.8 12.8 12.2 12.0

Columbus - Ann Street 390490025 15.1 14.4 14.3 13.5 12.7 14.2 13.9 13.1 12.4 14.1 13.6 12.6 12.0 11.9

Cincinnati - Seymour 390610014 17.3 16.6 16.5 15.5 14.5 16.5 16.3 15.1 14.3 16.6 16.2 14.9 14.2 13.8

Cincinnati - Taft Ave 390610040 15.5 14.8 14.7 13.8 12.8 14.8 14.6 13.4 12.6 14.9 14.5 13.2 12.5 12.2

Cincinnati - 8th Ave 390610042 16.9 12.0 16.1 15.0 14.0 16.1 15.9 14.7 13.8 16.2 15.7 14.4 13.7 13.4

Sharonville 390610043 15.6 14.9 14.8 13.9 12.9 14.9 14.7 13.5 12.7 14.9 14.5 13.3 12.6 12.3

Norwood 390617001 16.2 15.5 15.4 14.4 13.4 15.4 15.2 14.0 13.2 15.5 15.1 13.8 13.1 12.8

St. Bernard 390618001 17.6 16.8 16.7 15.7 14.7 16.7 16.5 15.3 14.4 16.8 16.4 15.1 14.3 14.0

Steubenville 390810016 15.8 14.5 14.4 13.5 12.8 14.3 14.2 13.1 12.5 14.8 14.5 13.3 12.9 12.7

Mingo Junction 390811001 16.5 15.2 15.2 14.3 13.5 15.0 14.9 13.8 13.2 15.6 15.2 14.0 13.6 13.4

Ironton 390870010 15.2 14.8 14.6 13.6 12.8 14.6 14.4 13.2 12.5 14.8 14.1 12.8 12.4 12.3

Dayton 391130032 15.5 14.9 14.8 14.0 13.2 14.8 14.6 13.6 12.9 14.8 14.3 13.3 12.6 12.4

New Boston 391450013 14.7 12.0 14.0 13.0 12.1 14.1 13.8 12.5 11.9 14.2 13.6 12.2 11.7 11.6

Canton - Dueber 391510017 16.3 15.7 15.6 14.8 14.0 15.5 15.3 14.4 13.6 15.4 14.9 14.0 13.3 13.3

Canton - Market 391510020 14.6 11.0 14.1 13.3 12.6 13.9 13.7 12.9 12.3 13.9 13.5 12.6 12.0 11.9

Akron - Brittain 391530017 15.1 14.6 14.5 13.8 13.0 14.4 14.2 13.4 12.7 14.3 13.8 13.0 12.3 12.3

Akron - W. Exchange 391530023 14.3 13.7 13.7 13.0 12.3 13.6 13.3 12.6 12.0 13.4 13.0 12.2 11.6 11.5

Round 5 without CAIR Round 5 without CAIR Round 5 without CAIR

2009 2012 2018

Table 2b. PM2.5 Modeling Results (Annual)
2005

Round 5 

with CAIR

Round 5 

with CAIR

Round 5 

with CAIR

Key Site County Site ID Base Year Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. C - BART

Illinois

Chicago - Washington HS Cook 170310022 36.6 36 36 36 36 36 36 37 36 37 36 37 37 35

Chicago - Mayfair Cook 170310052 40.3 37 37 37 36 37 36 37 36 38 37 37 37 36

Chicago - Springfield Cook 170310057 37.4 34 34 33 32 35 34 33 32 36 34 33 33 31

Chicago - Lawndale Cook 170310076 38.1 35 35 35 35 36 35 36 35 36 35 36 36 34

McCook Cook 170311016 43.0 39 39 39 39 40 39 40 39 40 40 41 40 38

Blue Island Cook 170312001 37.7 35 35 35 34 36 35 36 34 36 35 36 36 33

Schiller Park Cook 170313103 41.6 40 40 40 39 40 40 40 39 41 40 40 39 39

Summit Cook 170313301 40.2 38 38 39 38 39 38 39 38 39 38 39 39 37

Maywood Cook 170316005 39.2 38 38 38 38 38 38 39 38 39 38 39 39 37

Granite City Madison 171191007 39.2 36 36 35 33 36 35 34 33 36 35 35 33 32

E. St. Louis St. Clair 171630010 33.7 31 31 30 28 31 30 29 28 31 30 30 29 28

Indiana

Jeffersonville Clark 180190005 38.4 35 33 31 29 35 34 32 31 37 35 34 33 31

Jasper Dubois 180372001 36.2 32 32 30 28 32 32 30 29 33 31 31 30 28

Gary - IITRI Lake 180890022 39.0 35 35 35 34 35 34 35 34 36 36 36 35 35

Gary - Burr School Lake 180890026 39.0 34 34 34 33 34 34 35 34 34 34 34 34 32

Gary Lake 180890031 35.2 29 28 26 24 28 28 24 24 29 28 27 27 27

Indy-West Street Marion 180970043 38.0 34 34 33 33 35 35 34 33 36 35 34 34 33

Indy-English Avenue Marion 180970066 38.0 34 34 32 32 35 34 33 32 35 34 33 33 32

Indy-Washington Park Marion 180970078 36.6 33 33 32 31 33 33 32 31 34 33 32 32 32

Indy-W 18th Street Marion 180970081 38.3 33 33 31 31 33 33 32 31 34 33 32 32 31

Indy- Michigan Street Marion 180970083 36.0 32 32 29 28 32 31 29 28 32 31 29 29 29

Michigan

Luna Pier Monroe 261150005 38.9 34 34 32 32 34 34 32 32 34 33 32 31 31

Oak Park Oakland 261250001 39.9 38 38 37 36 38 37 37 36 38 37 37 36 35

Port Huron St. Clair 261470005 39.6 36 35 35 34 35 35 35 34 35 35 34 33 33

Ypsilanti Washtenaw 261610008 39.5 37 37 36 35 37 36 36 35 37 36 36 35 34

Allen Park Wayne 261630001 38.6 36 36 36 35 36 35 35 34 36 35 35 34 33

Southwest HS Wayne 261630015 40.1 36 36 36 35 36 35 35 35 36 35 35 34 33

Linwood Wayne 261630016 43.0 40 40 40 39 40 40 40 39 40 39 39 39 38

E 7 Mile Wayne 261630019 41.0 39 39 39 38 39 39 39 38 39 38 38 38 37

Dearborn Wayne 261630033 43.9 41 41 41 40 41 41 41 40 41 40 40 40 39

Wyandotte Wayne 261630036 37.2 36 36 36 35 35 35 35 35 35 35 35 35 34

Newberry Wayne 261630038 42.7 39 39 39 38 39 38 38 37 39 38 38 37 36

FIA Wayne 261630039 39.7 35 34 34 33 35 34 34 33 35 34 33 33 31

Ohio

Middleton Butler 390170003 39.3 33 32 29 28 33 33 29 28 34 32 29 28 27

Fairfield Butler 390170016 37.1 32 31 29 27 31 30 28 28 32 30 29 28 27

Butler 390170017 40.8 33 32 30 29 33 33 30 29 33 32 30 29 28

Cleveland-28th Street Cuyahoga 390350027 36.9 34 34 33 32 34 33 33 32 34 33 33 31 31

Cleveland-St. Tikhon Cuyahoga 390350038 44.2 40 40 37 36 40 39 36 35 40 38 36 35 34

Cleveland-Broadway Cuyahoga 390350045 38.8 35 35 33 31 35 34 32 30 35 34 31 29 29

Cleveland-GT Craig Cuyahoga 390350060 42.1 39 39 38 37 39 38 38 37 39 38 37 36 35

Newburg Hts - Harvard Ave Cuyahoga 390350065 38.9 35 35 33 31 35 34 32 30 36 35 32 31 30

Columbus - Fairgrounds Franklin 390490024 38.5 34 34 33 33 34 33 32 32 34 34 33 32 31

Columbus - Ann Street Franklin 390490025 38.5 34 33 31 31 33 33 31 31 34 33 31 31 30

Cincinnait Hamilton 390610006 40.6 33 33 30 27 33 32 29 28 34 32 29 28 27

Round 5 without CAIR Round 5 without CAIR Round 5 without CAIR

2009 2012 2018

Table 2c. PM2.5 Modeling Results (Daily)
2005

Round 5 

with CAIR

Round 5 

with CAIR

Round 5 

with CAIR

Key Site County Site ID Base Year Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. A Scen. B Scen.C Scen. C - BART

Round 5 without CAIR Round 5 without CAIR Round 5 without CAIR

2009 2012 2018

Table 2c. PM2.5 Modeling Results (Daily)

Cincinnati - Seymour Hamilton 390610014 38.4 33 33 28 26 33 32 27 25 33 31 29 25 24

Cincinnati - Taft Ave Hamilton 390610040 36.7 31 30 26 24 31 30 26 24 32 29 26 24 23

Cincinnati - 8th Ave Hamilton 390610042 37.3 32 32 30 28 32 31 29 28 33 31 29 28 27

Sharonville Hamilton 390610043 36.0 32 31 30 28 32 31 29 28 32 31 29 28 27

Norwood Hamilton 390617001 38.8 34 33 32 30 33 33 31 30 34 33 31 30 29

St. Bernard Hamilton 390618001 40.6 35 35 32 30 35 34 31 30 35 33 32 31 29

Steubenville Jefferson 390810016 40.7 36 35 32 29 35 34 30 28 37 35 31 29 28

Mingo Junction Jefferson 390811001 42.0 37 37 33 30 37 36 32 30 38 36 32 30 30

Dayton Montgomery391130032 37.8 34 33 31 30 33 33 31 30 34 33 31 31 30

Canton - Dueber Stark 391510017 38.6 33 32 30 28 33 31 30 28 33 30 29 28 27

Akron - Brittain Summit 391530017 38.1 33 33 31 30 33 32 31 30 33 32 30 29 29

Wisconsin

Green Bay - Est High Brown 550090005 37.1 35 34 35 35 34 35 35 34 33 33 33 32 32

Madison Dane 550250047 36.4 33 33 32 32 33 32 32 31 32 31 30 29 29

Milwaukee-Health Center Milwaukee 550790010 38.7 35 35 35 35 35 35 35 34 35 34 34 34 33

Milwaukee-SER Hdqs Milwaukee 550790026 37.4 34 34 34 34 34 34 34 34 34 34 34 34 33

Milwaukee-Virginia FS Milwaukee 550790043 39.9 37 37 37 36 37 36 37 36 36 36 37 36 36

Milwaukee- Fire Dept Hdqs Milwaukee 550790099 37.8 34 34 33 33 34 33 33 32 34 33 33 33 32

Waukesha Waukesha 551330027 35.5 32 32 32 31 32 32 32 31 32 31 31 30 29
10

Table 3. Modeling Results: Number of Sites > NAAQS

Ozone (85 ppb) Round 5 without CAIR Round 5 w/ CAIR

2009 Baseyear Scen. A Scen. B Scen. C Scen. C-BART

IL 0 0 0 0 ---- 0

IN 0 0 0 0 ---- 0

MI 3 1 1 1 ---- 1

OH 4 0 0 0 ---- 0

WI 2 0 0 0 ---- 0

Total 9 1 1 1 1

2012

IL 0 0 0 0 ---- 0

IN 0 0 0 0 ---- 0

MI 3 0 0 0 ---- 0

OH 4 0 0 0 ---- 0

WI 2 0 0 0 ---- 0

Total 9 0 0 0 0

2018

IL 0 0 0 0 0 0

IN 0 0 0 0 0 0

MI 3 0 0 0 0 0

OH 4 0 0 0 0 0

WI 2 0 0 0 0 0

Total 9 0 0 0 0 0

Ozone (75 ppb) Round 5 without CAIR Round5 w/ CAIR

2009 Baseyear Scen. A Scen. B Scen. C Scen. C-BART

IL 12 6 6 6 ---- 4

IN 26 10 9 8 ---- 5

MI 21 12 12 12 ---- 12

OH 45 27 25 24 ---- 21

WI 12 10 10 10 ---- 10

Total 116 65 62 60 ---- 52

2012

IL 12 3 3 3 ---- 1

IN 26 5 4 4 ---- 3

MI 21 9 8 8 ---- 6

OH 45 18 14 12 ---- 11

WI 12 10 9 9 ---- 9

Total 116 45 38 36 30

2018

IL 12 0 0 0 0 0

IN 26 0 0 0 0 0

MI 21 3 3 3 3 3

OH 45 3 3 2 1 1

WI 12 3 2 1 1 1

Total 116 9 8 6 5 5
11

PM2.5 - Annual Round 5 without CAIR Round 5 w/ CAIR

2009 Baseyear Scen. A Scen. B Scen. C Scen. C-BART

IL 7 4 4 1 ---- 1

IN 6 2 2 0 ---- 0

MI 2 2 2 1 ---- 1

OH 26 13 12 5 ---- 1

WI 0 0 0 0 ---- 0

Total 41 21 20 7 3

2012

IL 7 3 1 1 ---- 0

IN 6 1 1 0 ---- 0

MI 2 2 1 1 ---- 1

OH 26 12 9 4 ---- 0

WI 0 0 0 0 ---- 0

Total 41 18 12 6 1

2018

IL 7 3 1 0 0 0

IN 6 1 1 0 0 0

MI 2 2 1 1 1 1

OH 26 13 8 2 0 0

WI 0 0 0 0 0 0

Total 41 19 11 3 1 1

PM2.5 - Daily

Round 5 without CAIR Round 5 w/ CAIR

2009 Baseyear Scen. A Scen. B Scen. C Scen. C-BART

IL 16 7 7 6 ---- 6

IN 13 0 0 0 ---- 0

MI 14 10 9 9 ---- 5

OH 31 4 3 2 ---- 2

WI 8 1 1 1 ---- 1

Total 82 22 20 18 ---- 14

2012

IL 16 9 6 8 ---- 6

IN 13 0 0 0 ---- 0

MI 14 8 6 6 ---- 5

OH 31 3 3 2 ---- 1

WI 8 1 1 1 ---- 1

Total 82 21 16 17 13

2018

IL 16 10 6 8 8 5

IN 13 4 1 1 0 0

MI 14 8 6 6 5 4

OH 31 5 3 2 1 0

WI 8 1 1 1 1 1

Total 82 28 17 18 15 10
12

Table 4. Modeling Results: Future Year Visibility Levels

Worst 20% 2018

Round 5 without CAIR Round 5 w/ CAIR

Site

Baseline

(2000-2004) 2018 URP Scen. A Scen. B Scen. C

Scen. CBART 

BOWA1 19.86 17.94 19.09 18.87 18.54 18.02 17.94

VOYA2 19.48 17.75 18.60 18.44 18.17 17.77 17.63

SENE1 24.38 21.64 24.02 23.58 23.03 22.38 22.59

ISLE1 21.59 19.43 21.05 20.86 20.62 20.22 20.09

ISLE9 21.59 19.43 20.83 20.58 20.38 19.84 19.84

HEGL1 26.75 23.13 26.24 25.83 24.87 24.23 24.22

MING1 28.15 24.27 27.51 26.98 25.81 24.93 24.74

CACR1 26.36 22.91 25.32 24.80 23.57 22.97 22.44

UPBU1 26.27 22.82 25.31 24.79 23.50 22.79 22.59

MACA1 31.37 26.64 30.11 29.08 27.06 26.24 26.10

DOSO1 29.05 24.69 27.88 26.96 24.36 23.74 23.00

SHEN1 29.31 25.12 28.38 27.65 25.24 24.69 23.92

JARI1 29.12 24.91 28.06 27.21 25.00 24.48 24.06

BRIG1 29.01 25.05 28.10 28.07 26.57 26.25 25.21

LYBR1 24.45 21.48 24.06 23.86 22.58 22.30 21.14

ACAD1 22.89 20.45 22.88 22.76 22.31 22.16 21.49

Best 20% 2018

Round 5 without CAIR Round 5 w/ CAIR

Site

Baseline

(2000-2004) 2018 Max Scen. A Scen. B Scen. C

Scen. CBART

BOWA1 6.42 6.42 6.20 6.17 6.16 6.12 6.14

VOYA2 7.09 7.09 6.87 6.83 6.81 6.78 6.75

SENE1 7.14 7.14 7.80 7.78 7.81 7.77 7.71

ISLE1 6.75 6.75 6.77 6.76 6.72 6.67 6.60

ISLE9 6.75 6.75 6.63 6.61 6.58 6.53 6.52

HEGL1 12.84 12.84 12.17 12.20 12.07 11.63 11.66

MING1 14.46 14.46 13.78 13.77 13.70 13.37 13.28

CACR1 11.24 11.24 10.94 10.99 10.97 10.78 10.52

UPBU1 11.71 11.71 11.18 11.23 11.18 10.96 10.73

MACA1 16.51 16.51 16.32 16.21 15.76 15.34 15.25

DOSO1 12.28 12.28 12.02 11.84 11.27 11.03 11.00

SHEN1 10.93 10.93 10.98 10.91 10.25 10.16 9.91

JARI1 14.21 14.21 14.19 13.98 13.42 13.21 13.14

BRIG1 14.33 14.33 14.32 14.46 14.22 14.17 13.92

LYBR1 6.37 6.37 6.39 6.38 6.31 6.28 6.14

ACAD1 8.78 8.78 8.97 8.96 8.90 8.89 8.82
13

Figure 2. Ozone Modeling Results

2009 Round 5 – Scen. A Round 5 – Scen. B Round 5 – Scen. C Round 5 - CAIR

2012 Round 5 – Scen. A Round 5 – Scen. B Round 5 – Scen. C Round 5 - CAIR

2018 Round 5 – Scen. A Round 5 – Scen. B Round 5 – Scen. C Round 5 - CAIR
14

Figure 3. PM2.5 Annual Modeling Results

2009 Round 5 – Scen. A Round 5 – Scen. B Round 5 – Scen. C Round 5 - CAIR

2012 Round 5 – Scen. A Round 5 – Scen. B Round 5 – Scen. C Round 5 - CAIR

2018 Round 5 – Scen. A Round 5 – Scen. B Round 5 – Scen. C Round 5 - CAIR
15

Figure 4. PM2.5 Daily Modeling Results

2009 Round 5 – Scen. A Round 5 – Scen. B Round 5 – Scen. C Round 5 - CAIR

2012 Round 5 – Scen. A Round 5 – Scen. B Round 5 – Scen. C Round 5 - CAIR

2018 Round 5 – Scen. A Round 5 – Scen. B Round 5 – Scen. C Round 5 - CAIR
Appendix I

Scenario B (Legally Enforceable) Controls
NOx – 2009

Point Source Grown and Controlled Emissions by facility for NOX r6s1b_2009 Base Year = 2002

Future Year = 2009

STID=17 CYID=57 fcid=057801AAA name=AES DUCK CREEK

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 57 057801AAA 0001 0001 01 10100202 NOX 0.8147 0.8416 0.8416 0.00 0.00 SCR SCR added by LADCO 

STID=17 CYID=143 fcid=143805AAG name=AES ED EDWARDS STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 143 143805AAG 0001 0001 01 10100202 NOX 3.0515 3.1522 3.1522 0.00 0.00 lnb LNB added by LADCO 

 17 143 143805AAG 0001 0003 01 10100202 NOX 6.9419 7.1708 7.1708 0.00 0.00 lnb LNB added by LADCO 

 17 143 143805AAG 0002 0004 01 10100202 NOX 2.1310 2.2013 2.2013 0.00 0.00 lnb LNB added by LADCO 

---- -------- -------- ----------

fcid 12.1244 12.5243 12.5243 

cyid 12.1244 12.5243 12.5243 

stid 12.9392 13.3659 13.3659 

STID=39 CYID=1 fcid=0701000007 name="DP&L, J.M. STUART GENERATING STATION"

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 1 0701000007 R1 B001 B001P1 10100202 NOX 6.9860 6.9756 2.3252 0.85 0.95 SCR SCR added by LADCO 

 39 1 0701000007 R2 B002 B002P1 10100202 NOX 3.6327 3.6273 1.2091 0.85 0.95 SCR SCR added by LADCO 

 39 1 0701000007 R3 B003 B003P1 10100202 NOX 5.0133 5.0058 1.6686 0.85 0.95 SCR SCR added by LADCO 

 39 1 0701000007 R4 B004 B004P1 10100202 NOX 7.8493 7.8376 2.6125 0.85 0.95 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 23.4814 23.4464 7.8155 

cyid 23.4814 23.4464 7.8155 

STID=39 CYID=167 fcid=0684000000 name=MUSKINGUM RIVER POWER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 167 0684000000 R1 B001 B001P1 10200501 NOX 0.0017 0.0017 0.0001 0.00 0.95 SCR SCR added by LADCO 

 39 167 0684000000 R2 B002 B002P1 10100201 NOX 5.8167 5.8080 0.2904 0.00 0.95 SCR SCR added by LADCO 

 39 167 0684000000 R2 B002 B002P2 10100501 NOX 0.0000 0.0000 0.0000 0.00 0.95 SCR SCR added by LADCO 

 39 167 0684000000 R3 B003 B003P1 10100201 NOX 7.9017 7.8899 0.3945 0.00 0.95 SCR SCR added by LADCO 

 39 167 0684000000 R3 B003 B003P2 10100501 NOX 0.0000 0.0000 0.0000 0.00 0.95 SCR SCR added by LADCO 

 39 167 0684000000 R4 B004 B004P1 10100203 NOX 7.8775 7.8657 0.3933 0.00 0.95 SCR SCR added by LADCO 

 39 167 0684000000 R4 B004 B004P2 10100501 NOX 0.0000 0.0000 0.0000 0.00 0.95 SCR SCR added by LADCO 

 39 167 0684000000 R6 B006 B006P1 10100202 NOX 3.8586 3.8528 0.1926 0.00 0.95 SCR SCR added by LADCO 

 39 167 0684000000 R6 B006 B006P2 10100501 NOX 0.0000 0.0000 0.0000 0.00 0.95 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 25.4561 25.4182 1.2709 

cyid 25.4561 25.4182 1.2709 

stid 48.9375 48.8646 9.0864 

STID=55 CYID=79 fcid=241007800 name=WIS ELECTRIC POWER VALLEY STATION

 Base Yr Grown Controlled Base Year Future Year
STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 79 241007800 S11 B21 01 10100202 NOX 2.7972 2.8895 1.6470 0.00 0.43 SCR SCR added by LADCO 

 55 79 241007800 S11 B22 01 10100202 NOX 2.9073 3.0032 1.7118 0.00 0.43 SCR SCR added by LADCO 

 55 79 241007800 S12 B23 01 10100202 NOX 2.3270 2.4038 1.2740 0.00 0.47 SCR SCR added by LADCO 

 55 79 241007800 S12 B24 01 10100202 NOX 2.3427 2.4199 1.2826 0.00 0.47 SCR Scrubber added by LADCO

---- -------- -------- ----------

fcid 10.3742 10.7164 5.9154 

cyid 10.3742 10.7164 5.9154 

STID=55 CYID=117 fcid=460033090 name=WP & L Alliant Energy - Edgewater Gen Station

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 117 460033090 S11 B23 01 10100203 NOX 1.6197 1.6731 1.0038 0.00 0.40 SCR SCR added by LADCO 

 55 117 460033090 S11 B24 01 10100203 NOX 4.1072 4.2426 3.4789 0.00 0.18 SCR SCR added by LADCO 

 55 117 460033090 S12 B25 01 10100221 NOX 5.6804 5.8677 4.9876 0.00 0.15 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 11.4072 11.7834 9.4703 

cyid 11.4072 11.7834 9.4703 

stid 21.7814 22.4997 15.3857 

 ======== ======== ==========

 83.6581 84.7302 37.8380 
NOx - 2012

Point Source Grown and Controlled Emissions by facility for NOX r6s1b_2012 Base Year = 2002

Future Year = 2012

STID=17 CYID=33 fcid=033801AAA name=AMEREN ENERGY GENERATING CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 33 033801AAA 0005 0005 01 10100202 NOX 1.642 1.871 0.9357 0.00 0.500 SCR SCR added by LADCO 

 17 33 033801AAA 0006 0006 01 10100202 NOX 2.116 2.413 1.2063 0.00 0.500 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 3.758 4.284 2.1420 

cyid 3.758 4.284 2.1420 

STID=17 CYID=57 fcid=057801AAA name=AES DUCK CREEK

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 57 057801AAA 0001 0001 01 10100202 NOX 0.815 0.929 0.9288 0.00 0.000 SCR SCR added by LADCO 

STID=17 CYID=79 fcid=079808AAA name=AMEREN ENERGY GENERATING CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 79 079808AAA 0003 0003 01 10100202 NOX 6.735 7.678 7.6780 0.00 0.000 SCR SCR added by LADCO 

 17 79 079808AAA 0012 0013 01 10100501 NOX 5.936 5.378 5.3781 0.00 0.000 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 12.671 13.056 13.0561 

cyid 12.671 13.056 13.0561 

STID=17 CYID=97 fcid=097190AAC name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 97 097190AAC 0016 0031 02 10100401 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO 

STID=17 CYID=137 fcid=137805AAA name=AMEREN ENERGY GENERATING CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 137 137805AAA 0003 0003 01 10100202 NOX 5.356 6.106 6.1058 0.00 0.000 LNB LNB added by LADCO 

STID=17 CYID=143 fcid=143805AAG name=AES ED EDWARDS STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 143 143805AAG 0001 0001 01 10100202 NOX 3.052 3.479 3.4789 0.00 0.000 lnb LNB added by LADCO 

 17 143 143805AAG 0001 0003 01 10100202 NOX 6.942 7.914 7.9141 0.00 0.000 lnb LNB added by LADCO 

 17 143 143805AAG 0002 0004 01 10100202 NOX 2.131 2.429 2.4294 0.00 0.000 lnb LNB added by LADCO 

---- -------- -------- ----------

fcid 12.124 13.822 13.8224 

cyid 12.124 13.822 13.8224 
STID=17 CYID=167 fcid=167120AAO name=CITY WATER LIGHT & POWER

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 167 167120AAO 0010 0012 01 10100203 NOX 6.527 7.441 0.0074 0.00 0.999 SHUTDOWN SHUTDOWN added by LADCO

 17 167 167120AAO 0010 0013 01 10100203 NOX 2.646 3.017 0.0030 0.00 0.999 SHUTDOWN SHUTDOWN added by LADCO

---- -------- -------- ----------

fcid 9.173 10.458 0.0105 

cyid 9.173 10.458 0.0105 

STID=17 CYID=179 fcid=179801AAA name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 179 179801AAA 0018 0029 01 10100203 NOX 22.429 25.570 1.2785 0.00 0.950 SCR SCR added by LADCO 

 17 179 179801AAA 0018 0031 01 10100203 NOX 38.993 44.454 2.2227 0.00 0.950 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 61.422 70.024 3.5012 

cyid 61.422 70.024 3.5012 

STID=17 CYID=197 fcid=197809AAO name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 197 197809AAO 0032 0033 02 10100604 NOX 0.000 0.000 0.0000 0.00 0.800 SCR SCR added by LADCO 

STID=17 CYID=197 fcid=197810AAK name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 197 197810AAK 0011 0016 02 10100222 NOX 5.731 6.534 3.9203 0.00 0.400 SCR SCR added by LADCO 

 17 197 197810AAK 0011 0016 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.400 SCR SCR added by LADCO 

 17 197 197810AAK 0013 0010 02 10100223 NOX 8.598 9.802 0.0098 0.00 0.999 SHUTDOWN SCR added by LADCO 

 17 197 197810AAK 0013 0010 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO 

 17 197 197810AAK 0007 0012 02 10100223 NOX 10.974 12.511 0.0125 0.00 0.999 SHUTDOWN SCR added by LADCO 

 17 197 197810AAK 0007 0012 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO 

---- -------- -------- ----------

fcid 25.303 28.847 3.9426 

cyid 25.303 28.847 3.9426 

stid 130.622 147.527 43.5096 

STID=27 CYID=61 fcid=2706100004 name=Minnesota Power Inc - Boswell Energy Ctr

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 61 2706100004 SV003 EU003 001 10100226 NOX 13.661 14.142 2.8284 0.00 0.800 SCR SCR added by LADCO 

 27 61 2706100004 SV003 EU003 002 10100501 NOX 0.000 0.000 0.0000 0.00 0.800 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 13.661 14.142 2.8284 

cyid 13.661 14.142 2.8284 

STID=27 CYID=109 fcid=2710900011 name=Rochester Public Utilities - Silver Lake

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes
 27 109 2710900011 SV003 EU004 001 10100202 NOX 2.079 2.152 1.2911 0.00 0.400 SNCR SCR added by LADCO 

---- -------- -------- ----------

stid 15.739 16.294 4.1195 

STID=39 CYID=1 fcid=0701000007 name="DP&L, J.M. STUART GENERATING STATION"

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 1 0701000007 R1 B001 B001P1 10100202 NOX 6.986 7.296 2.4319 0.85 0.950 SCR SCR added by LADCO 

 39 1 0701000007 R2 B002 B002P1 10100202 NOX 3.633 3.794 1.2646 0.85 0.950 SCR SCR added by LADCO 

 39 1 0701000007 R3 B003 B003P1 10100202 NOX 5.013 5.235 1.7452 0.85 0.950 SCR SCR added by LADCO 

 39 1 0701000007 R4 B004 B004P1 10100202 NOX 7.849 8.197 2.7324 0.85 0.950 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 23.481 24.522 8.1740 

cyid 23.481 24.522 8.1740 

STID=39 CYID=31 fcid=0616000000 name=CONESVILLE POWER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 31 0616000000 R4 B004 B004P1 10100212 NOX 20.852 21.776 1.0888 0.00 0.950 SCR SCR added by LADCO 

STID=39 CYID=167 fcid=0684000000 name=MUSKINGUM RIVER POWER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 167 0684000000 R1 B001 B001P1 10200501 NOX 0.002 0.002 0.0001 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R2 B002 B002P1 10100201 NOX 5.817 6.074 0.3037 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R2 B002 B002P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R3 B003 B003P1 10100201 NOX 7.902 8.252 0.4126 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R3 B003 B003P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R4 B004 B004P1 10100203 NOX 7.877 8.227 0.4113 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R4 B004 B004P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R6 B006 B006P1 10100202 NOX 3.859 4.030 0.2015 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R6 B006 B006P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 25.456 26.584 1.3292 

cyid 25.456 26.584 1.3292 

stid 69.789 72.882 10.5920 

STID=55 CYID=79 fcid=241007690 name=WIS ELECTRIC POWER OAK CREEK STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 79 241007690 S13 B25 01 10100202 NOX 4.755 5.421 3.0898 0.00 0.430 SCR SCR added by LADCO 

 55 79 241007690 S13 B26 01 10100202 NOX 3.277 3.736 2.2045 0.00 0.410 SCR SCR added by LADCO 

 55 79 241007690 S14 B27 01 10100212 NOX 3.333 3.800 2.8499 0.00 0.250 SCR SCR added by LADCO 

 55 79 241007690 S14 B28 01 10100212 NOX 3.384 3.857 2.9316 0.00 0.240 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 14.749 16.814 11.0757 

STID=55 CYID=79 fcid=241007800 name=WIS ELECTRIC POWER VALLEY STATION
 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 79 241007800 S11 B21 01 10100202 NOX 2.797 3.189 1.8177 0.00 0.430 SCR SCR added by LADCO 

 55 79 241007800 S11 B22 01 10100202 NOX 2.907 3.314 1.8893 0.00 0.430 SCR SCR added by LADCO 

 55 79 241007800 S12 B23 01 10100202 NOX 2.327 2.653 1.4061 0.00 0.470 SCR SCR added by LADCO 

 55 79 241007800 S12 B24 01 10100202 NOX 2.343 2.671 1.4155 0.00 0.470 SCR Scrubber added by LADCO

---- -------- -------- ----------

fcid 10.374 11.827 6.5285 

cyid 25.123 28.641 17.6042 

STID=55 CYID=117 fcid=460033090 name=WP & L Alliant Energy - Edgewater Gen Station

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 117 460033090 S11 B23 01 10100203 NOX 1.620 1.846 1.1079 0.00 0.400 SCR SCR added by LADCO 

 55 117 460033090 S11 B24 01 10100203 NOX 4.107 4.682 3.8395 0.00 0.180 SCR SCR added by LADCO 

 55 117 460033090 S12 B25 01 10100221 NOX 5.680 6.476 5.5045 0.00 0.150 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 11.407 13.005 10.4519 

cyid 11.407 13.005 10.4519 

stid 36.530 41.646 28.0562 

 ======== ======== ==========

 252.681 278.349 86.2773 
NOx 2018

Point Source Grown and Controlled Emissions by facility for NOX r6s1b_2018 Base Year = 2002

Future Year = 2018

STID=17 CYID=31 fcid=031600AIN name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 31 031600AIN 0010 0013 01 10100226 NOX 2.283 2.592 1.5550 0.00 0.400 SCR SCR added by LADCO 

 17 31 031600AIN 0010 0013 02 10100601 NOX 0.000 0.000 0.0000 0.00 0.400 SCR SCR added by LADCO 

 17 31 031600AIN 0012 0016 01 10100226 NOX 3.991 4.531 2.7184 0.00 0.400 SCR SCR added by LADCO 

 17 31 031600AIN 0012 0016 02 10100601 NOX 0.000 0.000 0.0000 0.00 0.400 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 6.274 7.122 4.2734 

cyid 6.274 7.122 4.2734 

STID=17 CYID=33 fcid=033801AAA name=AMEREN ENERGY GENERATING CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 33 033801AAA 0005 0005 01 10100202 NOX 1.642 1.863 0.9317 0.00 0.500 SCR SCR added by LADCO 

 17 33 033801AAA 0006 0006 01 10100202 NOX 2.116 2.402 1.2012 0.00 0.500 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 3.758 4.266 2.1329 

cyid 3.758 4.266 2.1329 

STID=17 CYID=57 fcid=057801AAA name=AES DUCK CREEK

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 57 057801AAA 0001 0001 01 10100202 NOX 0.815 0.925 0.9249 0.00 0.000 SCR SCR added by LADCO 

STID=17 CYID=79 fcid=079808AAA name=AMEREN ENERGY GENERATING CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 79 079808AAA 0003 0003 01 10100202 NOX 6.735 7.645 7.6453 0.00 0.000 SCR SCR added by LADCO 

 17 79 079808AAA 0012 0013 01 10100501 NOX 5.936 3.984 3.9838 0.00 0.000 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 12.671 11.629 11.6291 

cyid 12.671 11.629 11.6291 

STID=17 CYID=97 fcid=097190AAC name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 97 097190AAC 0016 0031 02 10100401 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO 

STID=17 CYID=137 fcid=137805AAA name=AMEREN ENERGY GENERATING CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 137 137805AAA 0003 0003 01 10100202 NOX 5.356 6.080 6.0798 0.00 0.000 LNB LNB added by LADCO 
STID=17 CYID=143 fcid=143805AAG name=AES ED EDWARDS STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 143 143805AAG 0001 0001 01 10100202 NOX 3.052 3.464 3.4641 0.00 0.000 lnb LNB added by LADCO 

 17 143 143805AAG 0001 0003 01 10100202 NOX 6.942 7.880 7.8804 0.00 0.000 lnb LNB added by LADCO 

 17 143 143805AAG 0002 0004 01 10100202 NOX 2.131 2.419 2.4191 0.00 0.000 lnb LNB added by LADCO 

---- -------- -------- ----------

fcid 12.124 13.764 13.7636 

cyid 12.124 13.764 13.7636 

STID=17 CYID=167 fcid=167120AAO name=CITY WATER LIGHT & POWER

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 167 167120AAO 0010 0012 01 10100203 NOX 6.527 7.410 0.0074 0.00 0.999 SHUTDOWN SHUTDOWN added by LADCO

 17 167 167120AAO 0010 0013 01 10100203 NOX 2.646 3.004 0.0030 0.00 0.999 SHUTDOWN SHUTDOWN added by LADCO

---- -------- -------- ----------

fcid 9.173 10.414 0.0104 

cyid 9.173 10.414 0.0104 

STID=17 CYID=179 fcid=179801AAA name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 179 179801AAA 0018 0029 01 10100203 NOX 22.429 25.462 1.2731 0.00 0.950 SCR SCR added by LADCO 

 17 179 179801AAA 0018 0031 01 10100203 NOX 38.993 44.265 2.2132 0.00 0.950 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 61.422 69.726 3.4863 

cyid 61.422 69.726 3.4863 

STID=17 CYID=197 fcid=197809AAO name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 197 197809AAO 0032 0033 02 10100604 NOX 0.000 0.000 0.0000 0.00 0.800 SCR SCR added by LADCO 

STID=17 CYID=197 fcid=197810AAK name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 197 197810AAK 0011 0016 02 10100222 NOX 5.731 6.506 3.9036 0.00 0.400 SCR SCR added by LADCO 

 17 197 197810AAK 0011 0016 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.400 SCR SCR added by LADCO 

 17 197 197810AAK 0013 0010 02 10100223 NOX 8.598 9.760 0.0098 0.00 0.999 SHUTDOWN SCR added by LADCO 

 17 197 197810AAK 0013 0010 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO 

 17 197 197810AAK 0007 0012 02 10100223 NOX 10.974 12.458 0.0125 0.00 0.999 SHUTDOWN SCR added by LADCO 

 17 197 197810AAK 0007 0012 03 10100501 NOX 0.000 0.000 0.0000 0.00 0.999 SHUTDOWN SCR added by LADCO 

---- -------- -------- ----------

fcid 25.303 28.724 3.9258 

cyid 25.303 28.724 3.9258 

stid 136.896 152.649 46.2263 
STID=18 CYID=147 fcid=00020 name=INDIANA MICHIGAN POWER-ROCKPORT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 18 147 00020 1 001 01 10100222 NOX 23.226 25.291 1.2646 0.00 0.950 SCR SCR added by LADCO 

 18 147 00020 1 001 02 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 23.226 25.291 1.2646 

cyid 23.226 25.291 1.2646 

stid 23.226 25.291 1.2646 

STID=27 CYID=61 fcid=2706100004 name=Minnesota Power Inc - Boswell Energy Ctr

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 61 2706100004 SV003 EU003 001 10100226 NOX 13.661 15.733 3.1466 0.00 0.800 SCR SCR added by LADCO 

 27 61 2706100004 SV003 EU003 002 10100501 NOX 0.000 0.000 0.0000 0.00 0.800 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 13.661 15.733 3.1466 

cyid 13.661 15.733 3.1466 

STID=27 CYID=109 fcid=2710900011 name=Rochester Public Utilities - Silver Lake

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 109 2710900011 SV003 EU004 001 10100202 NOX 2.079 2.394 1.4363 0.00 0.400 SNCR SCR added by LADCO 

---- -------- -------- ----------

stid 15.739 18.127 4.5830 

STID=39 CYID=1 fcid=0701000007 name="DP&L, J.M. STUART GENERATING STATION"

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 1 0701000007 R1 B001 B001P1 10100202 NOX 6.986 7.607 2.5358 0.85 0.950 SCR SCR added by LADCO 

 39 1 0701000007 R2 B002 B002P1 10100202 NOX 3.633 3.956 1.3186 0.85 0.950 SCR SCR added by LADCO 

 39 1 0701000007 R3 B003 B003P1 10100202 NOX 5.013 5.459 1.8197 0.85 0.950 SCR SCR added by LADCO 

 39 1 0701000007 R4 B004 B004P1 10100202 NOX 7.849 8.547 2.8491 0.85 0.950 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 23.481 25.570 8.5232 

cyid 23.481 25.570 8.5232 

STID=39 CYID=31 fcid=0616000000 name=CONESVILLE POWER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 31 0616000000 R4 B004 B004P1 10100212 NOX 20.852 22.706 1.1353 0.00 0.950 SCR SCR added by LADCO 

STID=39 CYID=167 fcid=0684000000 name=MUSKINGUM RIVER POWER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 167 0684000000 R1 B001 B001P1 10200501 NOX 0.002 0.002 0.0001 0.00 0.950 SCR SCR added by LADCO 
 39 167 0684000000 R2 B002 B002P1 10100201 NOX 5.817 6.334 0.3167 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R2 B002 B002P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R3 B003 B003P1 10100201 NOX 7.902 8.604 0.4302 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R3 B003 B003P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R4 B004 B004P1 10100203 NOX 7.877 8.578 0.4289 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R4 B004 B004P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R6 B006 B006P1 10100202 NOX 3.859 4.202 0.2101 0.00 0.950 SCR SCR added by LADCO 

 39 167 0684000000 R6 B006 B006P2 10100501 NOX 0.000 0.000 0.0000 0.00 0.950 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 25.456 27.720 1.3860 

cyid 25.456 27.720 1.3860 

stid 69.789 75.996 11.0445 

STID=54 CYID=39 fcid=0006 name=APPALACHIAN POWER - KANAWHA RIVER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 39 0006 012 001 99 10100202 NOX 4.829 5.258 2.6291 0.00 0.500 SCR Scrubber added by LADCO

 54 39 0006 012 002 99 10100202 NOX 4.921 5.359 2.6794 0.00 0.500 SCR Scrubber added by LADCO

---- -------- -------- ----------

fcid 9.750 10.617 5.3085 

cyid 9.750 10.617 5.3085 

stid 9.750 10.617 5.3085 

STID=55 CYID=79 fcid=241007690 name=WIS ELECTRIC POWER OAK CREEK STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 79 241007690 S13 B25 01 10100202 NOX 4.755 5.398 3.0766 0.00 0.430 SCR SCR added by LADCO 

 55 79 241007690 S13 B26 01 10100202 NOX 3.277 3.720 2.1951 0.00 0.410 SCR SCR added by LADCO 

 55 79 241007690 S14 B27 01 10100212 NOX 3.333 3.784 2.8378 0.00 0.250 SCR SCR added by LADCO 

 55 79 241007690 S14 B28 01 10100212 NOX 3.384 3.841 2.9191 0.00 0.240 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 14.749 16.743 11.0285 

STID=55 CYID=79 fcid=241007800 name=WIS ELECTRIC POWER VALLEY STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 79 241007800 S11 B21 01 10100202 NOX 2.797 3.175 1.4289 0.00 0.550 SCR SCR added by LADCO 

 55 79 241007800 S11 B22 01 10100202 NOX 2.907 3.300 1.4852 0.00 0.550 SCR SCR added by LADCO 

 55 79 241007800 S12 B23 01 10100202 NOX 2.327 2.642 1.1887 0.00 0.550 SCR SCR added by LADCO 

 55 79 241007800 S12 B24 01 10100202 NOX 2.343 2.659 1.1967 0.00 0.550 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 10.374 11.777 5.2995 

cyid 25.123 28.519 16.3281 

STID=55 CYID=117 fcid=460033090 name=WP & L Alliant Energy - Edgewater Gen Station

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 117 460033090 S11 B23 01 10100203 NOX 1.620 1.839 1.1032 0.00 0.400 SCR SCR added by LADCO 
 55 117 460033090 S11 B24 01 10100203 NOX 4.107 4.662 3.8232 0.00 0.180 SCR SCR added by LADCO 

 55 117 460033090 S12 B25 01 10100221 NOX 5.680 6.448 5.4811 0.00 0.150 SCR SCR added by LADCO 

---- -------- -------- ----------

fcid 11.407 12.949 10.4074 

cyid 11.407 12.949 10.4074 

stid 36.530 41.469 26.7355 

 ======== ======== ==========

 291.931 324.149 95.1624 
SO2 – 2009

Point Source Grown and Controlled Emissions by facility for SO2 r6s1b_2009 1

Base Year = 2002

Future Year = 2009

STID=19 CYID=115 fcid=58-07-001 name=MIDAMERICAN ENERGY CO. - LOUISA STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 19 115 58-07-001 117487 147281 99 10100222 SO2 33.664 34.774 3.4774 0.0 0.90 SCRUBBER Scrubber added by LADCO

STID=21 CYID=161 fcid=2116100009 name=EAST KY POWER COOP

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 21 161 2116100009 1 001 99 10100202 SO2 42.166 42.103 4.2103 0.0 0.90 SCRUBBER Scrubber added by LADCO

 21 161 2116100009 2 002 99 10100212 SO2 55.385 55.303 5.5303 0.0 0.90 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 97.551 97.406 9.7406 

cyid 97.551 97.406 9.7406 

stid 97.551 97.406 9.7406 

STID=27 CYID=141 fcid=2714100004 name=NSP - Sherburne Generating Plant

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 141 2714100004 SV001 EU001 001 10100222 SO2 16.765 16.987 3.6401 0.3 0.85 SCRUBBER Scrubber added by LADCO

 27 141 2714100004 SV001 EU002 001 10100222 SO2 22.549 22.848 4.8959 0.3 0.85 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 39.314 39.834 8.5360 

cyid 39.314 39.834 8.5360 

stid 39.314 39.834 8.5360 

STID=54 CYID=51 fcid=0005 name=OHIO POWER - MITCHELL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 51 0005 012 001 99 10100202 SO2 17.775 17.748 1.7748 0.0 0.90 SCRUBBER Scrubber added by LADCO

 54 51 0005 012 002 99 10100202 SO2 5.689 5.680 0.5680 0.0 0.90 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 23.463 23.428 2.3428 

cyid 23.463 23.428 2.3428 

STID=54 CYID=53 fcid=0009 name=APPALACHIAN POWER - MOUNTAINEER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 53 0009 001 001 99 10100202 SO2 11.196 11.179 1.1179 0.0 0.90 SCRUBBER Scrubber added by LADCO

STID=54 CYID=79 fcid=0006 name=APPALACHIAN POWER - JOHN E AMOS PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes
 54 79 0006 012 001 99 10100202 SO2 79.635 79.516 7.9516 0.0 0.90 SCRUBBER Scrubber added by LADCO

 54 79 0006 003 003 99 10100202 SO2 139.377 139.169 13.9169 0.0 0.90 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 219.012 218.685 21.8685 

cyid 219.012 218.685 21.8685 

stid 253.671 253.293 25.3293 

 ======== ======== ==========

 424.200 425.307 47.0832 
SO2 – 2012

Point Source Grown and Controlled Emissions by facility for SO2 r6s1b_2012 1

Base Year = 2002

Future Year = 2012

STID=17 CYID=31 fcid=031600AMI name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 31 031600AMI 0007 0010 01 10100226 SO2 16.13 18.39 1.839 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=17 CYID=97 fcid=097190AAC name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 97 097190AAC 0018 0033 01 10100226 SO2 24.14 27.52 2.752 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 97 097190AAC 0021 0036 01 10100226 SO2 19.23 21.92 2.192 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 97 097190AAC 0016 0031 01 10100203 SO2 4.59 5.24 0.005 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ----------

fcid 47.96 54.68 4.950 

cyid 47.96 54.68 4.950 

STID=17 CYID=125 fcid=125804AAB name=DYNEGY MIDWEST GENERATION INC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 125 125804AAB 0019 0023 01 10100202 SO2 22.34 25.47 3.821 0.0 0.850 SCRUBBER Scrubber added by LADCO

STID=17 CYID=127 fcid=127855AAC name=ELECTRIC ENERGY INC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 127 127855AAC 0001 0001 01 10100222 SO2 11.83 13.48 13.482 0.0 0.000 LNB LNB added by LADCO 

 17 127 127855AAC 0001 0002 01 10100222 SO2 11.48 13.09 13.085 0.0 0.000 LNB LNB added by LADCO 

 17 127 127855AAC 0002 0003 01 10100222 SO2 10.25 11.68 11.680 0.0 0.000 LNB LNB added by LADCO 

 17 127 127855AAC 0002 0004 01 10100222 SO2 12.04 13.73 13.731 0.0 0.000 LNB LNB added by LADCO 

 17 127 127855AAC 0003 0006 01 10100222 SO2 12.68 14.46 14.456 0.0 0.000 LNB LNB added by LADCO 

---- -------- -------- ----------

fcid 58.27 66.43 66.435 

cyid 58.27 66.43 66.435 

STID=17 CYID=135 fcid=135803AAA name=AMEREN ENERGY GENERATING CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 135 135803AAA 0001 0001 01 10100203 SO2 32.99 37.61 3.761 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 135 135803AAA 0001 0003 01 10100203 SO2 72.92 83.13 8.313 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 105.91 120.74 12.074 

cyid 105.91 120.74 12.074 
STID=17 CYID=157 fcid=157851AAA name=DYNEGY MIDWEST GENERATION INC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 157 157851AAA 0001 0001 01 10100203 SO2 25.14 28.66 4.299 0.0 0.850 SCRUBBER Scrubber added by LADCO

 17 157 157851AAA 0002 0002 01 10100203 SO2 25.79 29.41 4.411 0.0 0.850 SCRUBBER Scrubber added by LADCO

 17 157 157851AAA 0013 0013 01 10100202 SO2 27.79 31.68 4.752 0.0 0.850 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 78.72 89.75 13.462 

cyid 78.72 89.75 13.462 

STID=17 CYID=167 fcid=167120AAO name=CITY WATER LIGHT & POWER

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 167 167120AAO 0010 0012 01 10100203 SO2 44.20 50.39 0.050 0.0 0.999 SHUTDOWN Scrubber added by LADCO

 17 167 167120AAO 0010 0013 01 10100203 SO2 16.40 18.70 0.019 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ----------

fcid 60.61 69.10 0.069 

cyid 60.61 69.10 0.069 

STID=17 CYID=179 fcid=179801AAA name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 179 179801AAA 0018 0029 01 10100203 SO2 25.35 28.90 2.890 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 179 179801AAA 0018 0031 01 10100203 SO2 41.57 47.39 4.739 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 66.91 76.29 7.629 

cyid 66.91 76.29 7.629 

STID=17 CYID=197 fcid=197810AAK name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 197 197810AAK 0013 0010 03 10100501 SO2 0.00 0.00 0.000 0.0 0.999 SHUTDOWN Scrubber added by LADCO

 17 197 197810AAK 0007 0012 02 10100223 SO2 15.33 17.48 0.017 0.0 0.999 SHUTDOWN Scrubber added by LADCO

 17 197 197810AAK 0007 0012 03 10100501 SO2 0.00 0.00 0.000 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ----------

fcid 15.33 17.48 0.017 

cyid 15.33 17.48 0.017 

stid 472.19 538.32 110.295 

STID=19 CYID=115 fcid=58-07-001 name=MIDAMERICAN ENERGY CO. - LOUISA STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 19 115 58-07-001 117487 147281 99 10100222 SO2 33.66 38.38 3.838 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=21 CYID=161 fcid=2116100009 name=EAST KY POWER COOP

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes
 21 161 2116100009 1 001 99 10100202 SO2 42.17 44.03 4.403 0.0 0.900 SCRUBBER Scrubber added by LADCO

 21 161 2116100009 2 002 99 10100212 SO2 55.39 57.84 5.784 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 97.55 101.87 10.187 

cyid 97.55 101.87 10.187 

stid 97.55 101.87 10.187 

STID=27 CYID=61 fcid=2706100004 name=Minnesota Power Inc - Boswell Energy Ctr

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 61 2706100004 SV003 EU003 001 10100226 SO2 33.99 35.19 15.081 0.3 0.700 SCRUBBER Scrubber added by LADCO

 27 61 2706100004 SV003 EU003 002 10100501 SO2 0.00 0.00 0.000 0.3 0.700 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 33.99 35.19 15.081 

cyid 33.99 35.19 15.081 

STID=27 CYID=109 fcid=2710900011 name=Rochester Public Utilities - Silver Lake

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 109 2710900011 SV003 EU004 001 10100202 SO2 7.86 8.13 1.220 0.0 0.850 SCRUBBER Scrubber added by LADCO

STID=27 CYID=141 fcid=2714100004 name=NSP - Sherburne Generating Plant

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 141 2714100004 SV001 EU001 001 10100222 SO2 16.76 17.36 3.719 0.3 0.850 SCRUBBER Scrubber added by LADCO

 27 141 2714100004 SV001 EU002 001 10100222 SO2 22.55 23.34 5.002 0.3 0.850 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 39.31 40.70 8.721 

cyid 39.31 40.70 8.721 

stid 81.16 84.02 25.023 

STID=39 CYID=13 fcid=0607130015 name=R. E. BURGER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 13 0607130015 R6 B011 B011P1 10100202 SO2 29.83 31.15 3.115 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 13 0607130015 R7 B012 B012P1 10100202 SO2 34.77 36.31 3.631 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 64.60 67.46 6.746 

cyid 64.60 67.46 6.746 

STID=39 CYID=31 fcid=0616000000 name=CONESVILLE POWER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 31 0616000000 R4 B004 B004P1 10100212 SO2 316.00 330.00 33.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

stid 380.60 397.46 39.746 

STID=47 CYID=1 fcid=0009 name=TVA BULL RUN FOSSIL PLANT
 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 1 0009 S-1 001 99 10100212 SO2 130.81 133.01 13.301 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=47 CYID=73 fcid=0007 name=TVA JOHN SEVIER FOSSIL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 73 0007 S-1A 001 99 10100212 SO2 20.15 20.49 2.049 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 73 0007 S-1B 002 99 10100212 SO2 20.25 20.59 2.059 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 73 0007 S-2A 003 99 10100212 SO2 19.62 19.95 1.995 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 73 0007 S-2B 004 99 10100212 SO2 18.93 19.25 1.925 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 78.95 80.28 8.028 

cyid 78.95 80.28 8.028 

STID=47 CYID=85 fcid=0011 name=TVA JOHNSONVILLE FOSSIL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 85 0011 S1-01 001 99 10100212 SO2 17.06 17.35 1.735 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 85 0011 S1-04 004 99 10100212 SO2 19.85 20.18 2.018 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 85 0011 S1-05 005 99 10100212 SO2 24.11 24.52 2.452 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 61.02 62.04 6.204 

cyid 61.02 62.04 6.204 

STID=47 CYID=145 fcid=0013 name=TVA KINGSTON FOSSIL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 145 0013 S-1 001 99 10100202 SO2 12.68 12.89 1.289 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-1 002 99 10100202 SO2 14.00 14.24 1.424 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-1 003 99 10100202 SO2 13.80 14.04 1.404 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-1 004 99 10100202 SO2 12.24 12.44 1.244 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-1 005 99 10100202 SO2 19.57 19.90 1.990 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-2 006 99 10100202 SO2 18.92 19.24 1.924 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-2 007 99 10100202 SO2 21.30 21.66 2.166 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-2 008 99 10100202 SO2 18.54 18.85 1.885 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-2 009 99 10100202 SO2 20.72 21.07 2.107 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 151.77 154.33 15.433 

cyid 151.77 154.33 15.433 

STID=47 CYID=165 fcid=0025 name=TVA GALLATIN FOSSIL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 165 0025 S-01 001 99 10100212 SO2 13.91 14.14 1.414 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 165 0025 S-01 002 99 10100212 SO2 14.87 15.12 1.512 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 165 0025 S-02 003 99 10100212 SO2 16.33 16.60 1.660 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 165 0025 S-02 004 99 10100212 SO2 20.39 20.73 2.073 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------
fcid 65.49 66.59 6.659 

cyid 65.49 66.59 6.659 

stid 488.04 496.25 49.625 

STID=54 CYID=51 fcid=0005 name=OHIO POWER - MITCHELL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 51 0005 012 001 99 10100202 SO2 17.77 18.56 1.856 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 51 0005 012 002 99 10100202 SO2 5.69 5.94 0.594 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 23.46 24.50 2.450 

cyid 23.46 24.50 2.450 

STID=54 CYID=53 fcid=0009 name=APPALACHIAN POWER - MOUNTAINEER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 53 0009 001 001 99 10100202 SO2 11.20 11.69 1.169 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=54 CYID=79 fcid=0006 name=APPALACHIAN POWER - JOHN E AMOS PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 79 0006 012 001 99 10100202 SO2 79.63 83.16 8.316 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 79 0006 012 002 99 10100202 SO2 100.33 104.78 10.478 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 79 0006 003 003 99 10100202 SO2 139.38 145.55 14.555 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 319.35 333.50 33.350 

cyid 319.35 333.50 33.350 

stid 354.00 369.69 36.969 

STID=55 CYID=79 fcid=241007690 name=WIS ELECTRIC POWER OAK CREEK STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 79 241007690 S13 B25 01 10100202 SO2 12.75 14.54 3.490 0.0 0.760 SCRUBBER Scrubber added by LADCO

 55 79 241007690 S13 B26 01 10100202 SO2 8.68 9.89 2.473 0.0 0.750 SCRUBBER Scrubber added by LADCO

 55 79 241007690 S14 B27 01 10100212 SO2 10.97 12.51 2.876 0.0 0.770 SCRUBBER Scrubber added by LADCO

 55 79 241007690 S14 B28 01 10100212 SO2 11.28 12.86 2.958 0.0 0.770 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 43.68 49.80 11.797 

cyid 43.68 49.80 11.797 

stid 43.68 49.80 11.797 

 ======== ======== ==========

 1950.90 2075.80 287.480 
SO2 – 2018

Point Source Grown and Controlled Emissions by facility for SO2 r6s1b_2018 1

Base Year = 2002

Future Year = 2018

STID=17 CYID=31 fcid=031600AIN name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 31 031600AIN 0010 0013 01 10100226 SO2 10.92 12.39 1.239 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 31 031600AIN 0012 0016 01 10100226 SO2 17.69 20.08 2.008 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 28.61 32.48 3.248 

STID=17 CYID=31 fcid=031600AMI name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 31 031600AMI 0007 0010 01 10100226 SO2 16.13 18.31 1.831 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

cyid 44.74 50.79 5.079 

STID=17 CYID=79 fcid=079808AAA name=AMEREN ENERGY GENERATING CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 79 079808AAA 0003 0003 01 10100202 SO2 36.35 41.27 4.127 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 79 079808AAA 0012 0013 01 10100501 SO2 28.99 19.46 1.946 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 65.34 60.72 6.072 

cyid 65.34 60.72 6.072 

STID=17 CYID=97 fcid=097190AAC name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 97 097190AAC 0018 0033 01 10100226 SO2 24.14 27.40 2.740 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 97 097190AAC 0021 0036 01 10100226 SO2 19.23 21.83 2.183 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 97 097190AAC 0016 0031 01 10100203 SO2 4.59 5.22 0.005 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ----------

fcid 47.96 54.45 4.928 

cyid 47.96 54.45 4.928 

STID=17 CYID=125 fcid=125804AAB name=DYNEGY MIDWEST GENERATION INC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 125 125804AAB 0019 0023 01 10100202 SO2 22.34 25.36 3.805 0.0 0.850 SCRUBBER Scrubber added by LADCO

STID=17 CYID=127 fcid=127855AAC name=ELECTRIC ENERGY INC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes
 17 127 127855AAC 0002 0003 01 10100222 SO2 10.25 11.63 11.630 0.0 0.000 LNB LNB added by LADCO 

 17 127 127855AAC 0002 0004 01 10100222 SO2 12.04 13.67 13.673 0.0 0.000 LNB LNB added by LADCO 

 17 127 127855AAC 0001 0001 01 10100222 SO2 11.83 13.42 1.342 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 127 127855AAC 0001 0002 01 10100222 SO2 11.48 13.03 1.303 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 127 127855AAC 0003 0005 01 10100222 SO2 11.72 13.31 1.331 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 127 127855AAC 0003 0006 01 10100222 SO2 12.68 14.39 1.439 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 70.00 79.46 30.719 

cyid 70.00 79.46 30.719 

STID=17 CYID=135 fcid=135803AAA name=AMEREN ENERGY GENERATING CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 135 135803AAA 0001 0001 01 10100203 SO2 32.99 37.45 3.745 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 135 135803AAA 0001 0003 01 10100203 SO2 72.92 82.77 8.277 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 105.91 120.22 12.022 

cyid 105.91 120.22 12.022 

STID=17 CYID=143 fcid=143805AAG name=AES ED EDWARDS STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 143 143805AAG 0002 0004 01 10100202 SO2 15.28 17.34 1.734 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=17 CYID=157 fcid=157851AAA name=DYNEGY MIDWEST GENERATION INC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 157 157851AAA 0001 0001 01 10100203 SO2 25.14 28.54 4.281 0.0 0.850 SCRUBBER Scrubber added by LADCO

 17 157 157851AAA 0002 0002 01 10100203 SO2 25.79 29.28 4.392 0.0 0.850 SCRUBBER Scrubber added by LADCO

 17 157 157851AAA 0013 0013 01 10100202 SO2 27.79 31.54 4.732 0.0 0.850 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 78.72 89.36 13.404 

cyid 78.72 89.36 13.404 

STID=17 CYID=167 fcid=167120AAO name=CITY WATER LIGHT & POWER

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 167 167120AAO 0010 0012 01 10100203 SO2 44.20 50.18 0.050 0.0 0.999 SHUTDOWN Scrubber added by LADCO

 17 167 167120AAO 0010 0013 01 10100203 SO2 16.40 18.62 0.019 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ----------

fcid 60.61 68.80 0.069 

cyid 60.61 68.80 0.069 

STID=17 CYID=179 fcid=179801AAA name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 179 179801AAA 0018 0029 01 10100203 SO2 25.35 28.77 2.877 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 179 179801AAA 0018 0031 01 10100203 SO2 41.57 47.19 4.719 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------
fcid 66.91 75.96 7.596 

cyid 66.91 75.96 7.596 

STID=17 CYID=197 fcid=197809AAO name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 197 197809AAO 0006 0009 01 10100203 SO2 15.89 18.04 1.804 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 197 197809AAO 0016 0031 01 10100202 SO2 27.43 31.13 3.113 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 197 197809AAO 0017 0033 01 10100202 SO2 23.13 26.26 2.626 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 66.45 75.44 7.544 

STID=17 CYID=197 fcid=197810AAK name=MIDWEST GENERATION LLC

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 17 197 197810AAK 0009 0014 02 10100222 SO2 11.64 13.21 1.321 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 197 197810AAK 0011 0016 02 10100222 SO2 25.67 29.14 2.914 0.0 0.900 SCRUBBER Scrubber added by LADCO

 17 197 197810AAK 0013 0010 03 10100501 SO2 0.00 0.00 0.000 0.0 0.999 SHUTDOWN Scrubber added by LADCO

 17 197 197810AAK 0007 0012 02 10100223 SO2 15.33 17.40 0.017 0.0 0.999 SHUTDOWN Scrubber added by LADCO

 17 197 197810AAK 0007 0012 03 10100501 SO2 0.00 0.00 0.000 0.0 0.999 SHUTDOWN Scrubber added by LADCO

---- -------- -------- ----------

fcid 52.64 59.75 4.252 

cyid 119.09 135.19 11.796 

stid 696.90 777.66 97.225 

STID=18 CYID=147 fcid=00020 name=INDIANA MICHIGAN POWER-ROCKPORT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 18 147 00020 1 001 01 10100222 SO2 66.42 72.32 7.232 0.0 0.900 SCRUBBER Scrubber added by LADCO

 18 147 00020 1 001 02 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 66.42 72.32 7.232 

cyid 66.42 72.32 7.232 

stid 66.42 72.32 7.232 

STID=19 CYID=115 fcid=58-07-001 name=MIDAMERICAN ENERGY CO. - LOUISA STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 19 115 58-07-001 117487 147281 99 10100222 SO2 33.66 38.22 3.822 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=21 CYID=127 fcid=2112700003 name=KENTUCKY POWER CO

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 21 127 2112700003 2 002 99 10100202 SO2 104.52 113.82 11.382 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=21 CYID=161 fcid=2116100009 name=EAST KY POWER COOP

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes
 21 161 2116100009 1 001 99 10100202 SO2 42.17 45.92 4.592 0.0 0.900 SCRUBBER Scrubber added by LADCO

 21 161 2116100009 2 002 99 10100212 SO2 55.39 60.31 6.031 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 97.55 106.23 10.623 

cyid 97.55 106.23 10.623 

stid 202.07 220.04 22.004 

STID=27 CYID=61 fcid=2706100004 name=Minnesota Power Inc - Boswell Energy Ctr

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 61 2706100004 SV003 EU003 001 10100226 SO2 33.99 39.15 16.778 0.3 0.700 SCRUBBER Scrubber added by LADCO

 27 61 2706100004 SV003 EU003 002 10100501 SO2 0.00 0.00 0.000 0.3 0.700 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 33.99 39.15 16.778 

cyid 33.99 39.15 16.778 

STID=27 CYID=109 fcid=2710900011 name=Rochester Public Utilities - Silver Lake

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 109 2710900011 SV003 EU004 001 10100202 SO2 7.86 9.05 1.357 0.0 0.850 SCRUBBER Scrubber added by LADCO

STID=27 CYID=141 fcid=2714100004 name=NSP - Sherburne Generating Plant

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 27 141 2714100004 SV001 EU001 001 10100222 SO2 16.76 19.31 4.138 0.3 0.850 SCRUBBER Scrubber added by LADCO

 27 141 2714100004 SV001 EU002 001 10100222 SO2 22.55 25.97 5.565 0.3 0.850 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 39.31 45.28 9.703 

cyid 39.31 45.28 9.703 

stid 81.16 93.48 27.838 

STID=39 CYID=13 fcid=0607130015 name=R. E. BURGER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 13 0607130015 R6 B011 B011P1 10100202 SO2 29.83 32.48 3.248 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 13 0607130015 R7 B012 B012P1 10100202 SO2 34.77 37.86 3.786 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 64.60 70.34 7.034 

cyid 64.60 70.34 7.034 

STID=39 CYID=31 fcid=0616000000 name=CONESVILLE POWER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 39 31 0616000000 R4 B004 B004P1 10100212 SO2 316.00 344.11 34.411 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=39 CYID=167 fcid=0684000000 name=MUSKINGUM RIVER POWER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes
 39 167 0684000000 R2 B002 B002P1 10100201 SO2 65.07 70.85 7.085 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 167 0684000000 R2 B002 B002P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 167 0684000000 R3 B003 B003P1 10100201 SO2 94.58 103.00 10.300 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 167 0684000000 R3 B003 B003P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 167 0684000000 R4 B004 B004P1 10100203 SO2 81.64 88.90 8.890 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 167 0684000000 R4 B004 B004P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 167 0684000000 R5 B005 B005P1 10100203 SO2 97.22 105.87 10.587 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 167 0684000000 R5 B005 B005P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 167 0684000000 R6 B006 B006P1 10100202 SO2 113.96 124.10 12.410 0.0 0.900 SCRUBBER Scrubber added by LADCO

 39 167 0684000000 R6 B006 B006P2 10100501 SO2 0.00 0.00 0.000 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 452.48 492.72 49.272 

cyid 452.48 492.72 49.272 

stid 833.08 907.16 90.716 

STID=47 CYID=1 fcid=0009 name=TVA BULL RUN FOSSIL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 1 0009 S-1 001 99 10100212 SO2 130.81 136.82 13.682 0.0 0.900 SCRUBBER Scrubber added by LADCO

STID=47 CYID=73 fcid=0007 name=TVA JOHN SEVIER FOSSIL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 73 0007 S-1A 001 99 10100212 SO2 20.15 21.07 2.107 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 73 0007 S-1B 002 99 10100212 SO2 20.25 21.18 2.118 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 73 0007 S-2A 003 99 10100212 SO2 19.62 20.52 2.052 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 73 0007 S-2B 004 99 10100212 SO2 18.93 19.80 1.980 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 78.95 82.57 8.257 

cyid 78.95 82.57 8.257 

STID=47 CYID=85 fcid=0011 name=TVA JOHNSONVILLE FOSSIL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 85 0011 S1-01 001 99 10100212 SO2 17.06 17.84 1.784 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 85 0011 S1-04 004 99 10100212 SO2 19.85 20.76 2.076 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 85 0011 S1-05 005 99 10100212 SO2 24.11 25.22 2.522 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 61.02 63.82 6.382 

cyid 61.02 63.82 6.382 

STID=47 CYID=145 fcid=0013 name=TVA KINGSTON FOSSIL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 145 0013 S-1 001 99 10100202 SO2 12.68 13.26 1.326 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-1 002 99 10100202 SO2 14.00 14.65 1.465 0.0 0.900 SCRUBBER Scrubber added by LADCO
 47 145 0013 S-1 003 99 10100202 SO2 13.80 14.44 1.444 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-1 004 99 10100202 SO2 12.24 12.80 1.280 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-1 005 99 10100202 SO2 19.57 20.47 2.047 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-2 006 99 10100202 SO2 18.92 19.79 1.979 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-2 007 99 10100202 SO2 21.30 22.28 2.228 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-2 008 99 10100202 SO2 18.54 19.39 1.939 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 145 0013 S-2 009 99 10100202 SO2 20.72 21.68 2.168 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 151.77 158.75 15.875 

cyid 151.77 158.75 15.875 

STID=47 CYID=165 fcid=0025 name=TVA GALLATIN FOSSIL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 47 165 0025 S-01 001 99 10100212 SO2 13.91 14.54 1.454 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 165 0025 S-01 002 99 10100212 SO2 14.87 15.56 1.556 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 165 0025 S-02 003 99 10100212 SO2 16.33 17.08 1.708 0.0 0.900 SCRUBBER Scrubber added by LADCO

 47 165 0025 S-02 004 99 10100212 SO2 20.39 21.32 2.132 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 65.49 68.50 6.850 

cyid 65.49 68.50 6.850 

stid 488.04 510.46 51.046 

STID=54 CYID=39 fcid=0006 name=APPALACHIAN POWER - KANAWHA RIVER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 39 0006 012 001 99 10100202 SO2 19.45 21.18 10.591 0.0 0.500 SCRUBBER Scrubber added by LADCO

 54 39 0006 012 002 99 10100202 SO2 20.94 22.80 11.399 0.0 0.500 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 40.39 43.98 21.990 

cyid 40.39 43.98 21.990 

STID=54 CYID=51 fcid=0005 name=OHIO POWER - MITCHELL PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 51 0005 012 001 99 10100202 SO2 17.77 19.36 1.936 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 51 0005 012 002 99 10100202 SO2 5.69 6.19 0.619 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 23.46 25.55 2.555 

STID=54 CYID=51 fcid=0006 name=OHIO POWER - KAMMER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 51 0006 013 001 99 10100203 SO2 47.06 51.25 5.125 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 51 0006 013 002 99 10100203 SO2 47.66 51.90 5.190 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 51 0006 013 003 99 10100203 SO2 41.94 45.67 4.567 0.0 0.900 SCRUBBER Scrubber added by LADCO
---- -------- -------- ----------

fcid 136.67 148.82 14.882 

cyid 160.13 174.37 17.437 

STID=54 CYID=53 fcid=0001 name=APPALACHIAN POWER CO.-PHILIP SPORN PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 53 0001 014 001 99 10100202 SO2 18.65 20.31 2.031 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 53 0001 014 002 99 10100202 SO2 15.87 17.28 1.728 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 53 0001 014 003 99 10100202 SO2 21.46 23.36 2.336 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 53 0001 014 004 99 10100202 SO2 20.53 22.36 2.236 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 53 0001 005 005 99 10100202 SO2 46.82 50.98 5.098 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 123.33 134.30 13.430 

STID=54 CYID=53 fcid=0009 name=APPALACHIAN POWER - MOUNTAINEER PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 53 0009 001 001 99 10100202 SO2 11.20 12.19 1.219 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

cyid 134.53 146.49 14.649 

STID=54 CYID=79 fcid=0006 name=APPALACHIAN POWER - JOHN E AMOS PLANT

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 54 79 0006 012 001 99 10100202 SO2 79.63 86.72 8.672 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 79 0006 012 002 99 10100202 SO2 100.33 109.26 10.926 0.0 0.900 SCRUBBER Scrubber added by LADCO

 54 79 0006 003 003 99 10100202 SO2 139.38 151.77 15.177 0.0 0.900 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 319.35 347.75 34.775 

cyid 319.35 347.75 34.775 

stid 654.39 712.59 88.851 

STID=55 CYID=79 fcid=241007690 name=WIS ELECTRIC POWER OAK CREEK STATION

 Base Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Tons/Day Control EF Control EF ctrltype ctrldes

 55 79 241007690 S13 B25 01 10100202 SO2 12.75 14.48 3.475 0.0 0.760 SCRUBBER Scrubber added by LADCO

 55 79 241007690 S13 B26 01 10100202 SO2 8.68 9.85 2.462 0.0 0.750 SCRUBBER Scrubber added by LADCO

 55 79 241007690 S14 B27 01 10100212 SO2 10.97 12.45 2.864 0.0 0.770 SCRUBBER Scrubber added by LADCO

 55 79 241007690 S14 B28 01 10100212 SO2 11.28 12.81 2.945 0.0 0.770 SCRUBBER Scrubber added by LADCO

---- -------- -------- ----------

fcid 43.68 49.59 11.746 

cyid 43.68 49.59 11.746 

stid 43.68 49.59 11.746 

 ======== ======== ==========

 3099.41 3381.52 400.481 
Appendix II

Scenario C Controls (CAMD List)
1

NOx Controls (SCRs, 2007 – 2013))

Plant Name UniqueID_Final State Name County

Capacity 

MW

On Line 

Year

SCR 

Online 

Year

Chesterfield 3797_B_4 Virginia Chesterfield 166 1960 2013

Chesterfield 3797_B_5 Virginia Chesterfield 310 1964 2012

Scherer 6257_B_3 Georgia Monroe 875 1987 2011

Chesterfield 3797_B_6 Virginia Chesterfield 658 1969 2011

Sandow No 4 6648_B_4 Texas Milam 545 1981 2011

Beech Hollow Power Project 82704_B_1 Pennsylvania Washington 272 2011 2011

Longview Power 82702_B_1 West Virginia Monongalia 695 2011 2011

Cliffside 2721_B_6 North Carolina Cleveland 800 2011 2011

AES Westover 2526_B_11 New York Broome 22 1943 2010

AES Westover 2526_B_12 New York Broome 22 1943 2010

AES Westover 2526_B_13 New York Broome 84 1951 2010

Iatan 2 6065_B_2 Missouri Platte 850 2010 2010

Southwest 6195_B_2 Missouri Greene 300 2010 2010

Trimble Station (LGE) 6071_B_2 Kentucky Trimble 732 2010 2010

Elm Road Generating Station 56068_B_2 Wisconsin Milwaukee 615 2010 2010

Clay Boswell 1893_B_3 Minnesota Itasca 350 1973 2009

Asheville 2706_B_2 North Carolina Buncombe 184 1971 2009

Conesville 2840_B_4 Ohio Coshocton 780 1973 2009

Marshall 2727_B_3 North Carolina Catawba 657 1969 2009

St Johns River Power Park 207_B_1 Florida Duval 626 1987 2009

Ghent 1356_B_2 Kentucky Carroll 469 1977 2009

Chalk Point LLC 1571_B_1 Maryland Prince George's 341 1964 2009

Chalk Point LLC 1571_B_2 Maryland Prince George's 342 1965 2009

San Juan 2451_B_2 New Mexico San Juan 320 1973 2009

Big Bend 645_B_BB01 Florida Hillsborough 411 1970 2009

Big Bend 645_B_BB02 Florida Hillsborough 391 1973 2009

Big Bend 645_B_BB03 Florida Hillsborough 414 1976 2009

Nebraska City Unit 2 6096_B_2 Nebraska Otoe 663 2009 2009

Cross 130_B_4 South Carolina Berkeley 652 2009 2009

Springerville 8223_B_4 Arizona Apache 400 2009 2009

Sandow 5 82010_B_5 Texas Milam 600 2009 2009

Oak Grove 82011_B_1 Texas Robertson 800 2009 2009

Oak Grove 82011_B_2 Texas Robertson 800 2009 2009

TS Power Plant 82013_B_1 Nevada Eureka 200 2009 2009

Plum Point Energy 82014_B_1 Arkansas Mississippi 665 2009 2009

Comanche 470_B_3 Colorado Pueblo 750 2009 2009

Elm Road Generating Station 56068_B_1 Wisconsin Milwaukee 615 2009 2009

Two Elk Generating Station 55360_B_1 Wyoming Campbell 300 2009 2009

J K Spruce 7097_B_BLR2 Texas Bexar 750 2009 2009

Dallman 963_B_34 Illinois Sangamon 200 2009 2009

AES Greenidge LLC 2527_B_4 New York Yates 27 1950 2008

AES Greenidge LLC 2527_B_5 New York Yates 27 1950 2008

AES Greenidge LLC 2527_B_6 New York Yates 106 1953 2008

Charles R Lowman 56_B_2 Alabama Washington 238 1979 2008

Charles R Lowman 56_B_3 Alabama Washington 238 1980 2008

Barry 3_B_5 Alabama Mobile 750 1971 2008

St Johns River Power Park 207_B_2 Florida Duval 626 1988 2008

Morgantown Generating Plant 1573_B_2 Maryland Charles 620 1971 2008
2

Bailly 995_B_7 Indiana Porter 160 1962 2008

San Juan 2451_B_1 New Mexico San Juan 322 1976 2008

San Juan 2451_B_3 New Mexico San Juan 495 1979 2008

Weston 4078_B_4 Wisconsin Marathon 519 2008 2008

AES Deepwater 10670_B_AAB001 Texas Harris 140 1986 2007

La Cygne 1241_B_1 Kansas Linn 724 1973 2007

Morgantown Generating Plant 1573_B_1 Maryland Charles 624 1970 2007

PSEG Hudson Generating Station 2403_B_2 New Jersey Hudson 583 1967 2007

San Juan 2451_B_4 New Mexico San Juan 506 1982 2007

Big Bend 645_B_BB04 Florida Hillsborough 457 1985 2007

Cross 130_B_3 South Carolina Berkeley 620 2007 2007

Wygen II 55479_B_4 Wyoming Campbell 90 2007 2007

Council Bluffs 1082_B_4 Iowa Pottawattamie 790 2007 2007

SO2 Controls (FGDs, 2007 – 2012)

Plant Name UniqueID_Final State Name County

Capacity 

MW

On Line 

Year

Scrubber 

Online 

Year

James H Miller Jr 6002_B_1 Alabama Jefferson 684 1978 2011

James H Miller Jr 6002_B_2 Alabama Jefferson 687 1985 2011

James H Miller Jr 6002_B_3 Alabama Jefferson 687 1989 2011

James H Miller Jr 6002_B_4 Alabama Jefferson 688 1991 2011

Cape Fear 2708_B_5 North Carolina Chatham 143 1956 2011

Baldwin Energy Complex 889_B_1 Illinois Randolph 624 1970 2011

Baldwin Energy Complex 889_B_2 Illinois Randolph 629 1973 2011

Baldwin Energy Complex 889_B_3 Illinois Randolph 629 1975 2011

Scherer 6257_B_3 Georgia Monroe 875 1987 2011

Milton R Young 2823_B_B1 North Dakota Oliver 250 1970 2011

W H Sammis 2866_B_6 Ohio Jefferson 630 1969 2011

W H Sammis 2866_B_7 Ohio Jefferson 630 1971 2011

PSEG Hudson Generating Station 2403_B_2 New Jersey Hudson 583 1967 2011

John Sevier 3405_B_1 Tennessee Hawkins 176 1955 2011

John Sevier 3405_B_2 Tennessee Hawkins 176 1955 2011

John Sevier 3405_B_3 Tennessee Hawkins 176 1956 2011

John Sevier 3405_B_4 Tennessee Hawkins 176 1957 2011

Beech Hollow Power Project 82704_B_1 Pennsylvania Washington 272 2011 2011

Longview Power 82702_B_1 West Virginia Monongalia 695 2011 2011

Cliffside 2721_B_6 North Carolina Cleveland 800 2011 2011

AES Greenidge LLC 2527_B_4 New York Yates 27 1950 2010

AES Greenidge LLC 2527_B_5 New York Yates 27 1950 2010

Barry 3_B_5 Alabama Mobile 750 1971 2010

E C Gaston 26_B_5 Alabama Shelby 861 1974 2010

Warrick 6705_B_4 Indiana Warrick 300 1970 2010

Coffeen 861_B_01 Illinois Montgomery 340 1965 2010

Coffeen 861_B_02 Illinois Montgomery 560 1972 2010

Cardinal 2828_B_3 Ohio Jefferson 630 1977 2010

Brandon Shores 602_B_1 Maryland Anne Arundel 643 1984 2010

Brandon Shores 602_B_2 Maryland Anne Arundel 643 1991 2010

Monroe 1733_B_4 Michigan Monroe 775 1974 2010

Cliffside 2721_B_5 North Carolina Cleveland 550 1972 2010

Crystal River 628_B_4 Florida Citrus 720 1982 2010

Bowen 703_B_1BLR Georgia Bartow 713 1971 2010
3

Crist 641_B_6 Florida Escambia 302 1970 2010

Crist 641_B_7 Florida Escambia 477 1973 2010

Clifty Creek 983_B_1 Indiana Jefferson 217 1955 2010

Clifty Creek 983_B_2 Indiana Jefferson 217 1955 2010

Clifty Creek 983_B_3 Indiana Jefferson 217 1955 2010

Clifty Creek 983_B_4 Indiana Jefferson 217 1955 2010

Clifty Creek 983_B_5 Indiana Jefferson 217 1955 2010

Clifty Creek 983_B_6 Indiana Jefferson 217 1956 2010

Chalk Point LLC 1571_B_1 Maryland Prince George's 341 1964 2010

Chalk Point LLC 1571_B_2 Maryland Prince George's 342 1965 2010

Dickerson 1572_B_1 Maryland Montgomery 182 1959 2010

Dickerson 1572_B_2 Maryland Montgomery 182 1960 2010

Dickerson 1572_B_3 Maryland Montgomery 182 1962 2010

R E Burger 2864_B_7 Ohio Belmont 156 1955 2010

R E Burger 2864_B_8 Ohio Belmont 156 1955 2010

Kyger Creek 2876_B_1 Ohio Gallia 217 1955 2010

Kyger Creek 2876_B_2 Ohio Gallia 217 1955 2010

Kyger Creek 2876_B_3 Ohio Gallia 217 1955 2010

Kyger Creek 2876_B_4 Ohio Gallia 217 1955 2010

Kyger Creek 2876_B_5 Ohio Gallia 217 1955 2010

Cheswick 8226_B_1 Pennsylvania Allegheny 580 1970 2010

PSEG Mercer Generating Station 2408_B_1 New Jersey Mercer 315 1960 2010

PSEG Mercer Generating Station 2408_B_2 New Jersey Mercer 310 1961 2010

Silver Lake 2008_B_4 Minnesota Olmsted 61 1969 2010

Kingston 3407_B_1 Tennessee Roane 135 1954 2010

Kingston 3407_B_2 Tennessee Roane 135 1954 2010

Kingston 3407_B_3 Tennessee Roane 135 1954 2010

Kingston 3407_B_4 Tennessee Roane 135 1954 2010

Kingston 3407_B_5 Tennessee Roane 177 1955 2010

Kingston 3407_B_6 Tennessee Roane 177 1955 2010

Kingston 3407_B_7 Tennessee Roane 177 1955 2010

Kingston 3407_B_8 Tennessee Roane 177 1955 2010

Kingston 3407_B_9 Tennessee Roane 178 1955 2010

Sioux 2107_B_1 Missouri St. Charles 497 1967 2010

Sioux 2107_B_2 Missouri St. Charles 497 1968 2010

Chesterfield 3797_B_5 Virginia Chesterfield 310 1964 2010

Yorktown 3809_B_1 Virginia York 159 1957 2010

AES Westover 2526_B_11 New York Broome 22 1943 2010

AES Westover 2526_B_12 New York Broome 22 1943 2010

AES Westover 2526_B_13 New York Broome 84 1951 2010

Iatan 2 6065_B_2 Missouri Platte 850 2010 2010

Southwest 6195_B_2 Missouri Greene 300 2010 2010

Trimble Station (LGE) 6071_B_2 Kentucky Trimble 732 2010 2010

Elm Road Generating Station 56068_B_2 Wisconsin Milwaukee 615 2010 2010

Cholla 113_B_3 Arizona Navajo 271 1980 2009

Mayo 6250_B_1A North Carolina Person 362 1983 2009

Mayo 6250_B_1B North Carolina Person 362 1983 2009

Conesville 2840_B_4 Ohio Coshocton 780 1973 2009

G G Allen 2718_B_1 North Carolina Gaston 162 1957 2009

G G Allen 2718_B_2 North Carolina Gaston 162 1957 2009

G G Allen 2718_B_3 North Carolina Gaston 260 1959 2009
4

G G Allen 2718_B_4 North Carolina Gaston 275 1960 2009

G G Allen 2718_B_5 North Carolina Gaston 265 1961 2009

H L Spurlock 6041_B_1 Kentucky Mason 315 1977 2009

Crystal River 628_B_5 Florida Citrus 717 1984 2009

Deerhaven Generating Station 663_B_B2 Florida Alachua 228 1981 2009

Bowen 703_B_2BLR Georgia Bartow 718 1972 2009

Wansley 6052_B_2 Georgia Heard 892 1978 2009

E W Brown 1355_B_1 Kentucky Mercer 94 1957 2009

E W Brown 1355_B_2 Kentucky Mercer 160 1963 2009

E W Brown 1355_B_3 Kentucky Mercer 422 1971 2009

Ghent 1356_B_2 Kentucky Carroll 469 1977 2009

Fayette Power Project 6179_B_1 Texas Fayette 598 1979 2009

Fayette Power Project 6179_B_2 Texas Fayette 598 1980 2009

Morgantown Generating Plant 1573_B_1 Maryland Charles 624 1970 2009

Morgantown Generating Plant 1573_B_2 Maryland Charles 620 1971 2009

PPL Brunner Island 3140_B_1 Pennsylvania York 321 1961 2009

PPL Brunner Island 3140_B_2 Pennsylvania York 378 1965 2009

Keystone 3136_B_1 Pennsylvania Armstrong 850 1967 2009

Keystone 3136_B_2 Pennsylvania Armstrong 850 1968 2009

Bull Run 3396_B_1 Tennessee Anderson 881 1967 2009

Bay Shore 2878_B_4 Ohio Lucas 215 1968 2009

Hatfields Ferry Power Station 3179_B_1 Pennsylvania Greene 530 1969 2009

Hatfields Ferry Power Station 3179_B_2 Pennsylvania Greene 530 1970 2009

Hatfields Ferry Power Station 3179_B_3 Pennsylvania Greene 530 1971 2009

Nebraska City Unit 2 6096_B_2 Nebraska Otoe 663 2009 2009

Cross 130_B_4 South Carolina Berkeley 652 2009 2009

Springerville 8223_B_4 Arizona Apache 400 2009 2009

Sandow 5 82010_B_5 Texas Milam 600 2009 2009

Oak Grove 82011_B_1 Texas Robertson 800 2009 2009

Oak Grove 82011_B_2 Texas Robertson 800 2009 2009

TS Power Plant 82013_B_1 Nevada Eureka 200 2009 2009

Plum Point Energy 82014_B_1 Arkansas Mississippi 665 2009 2009

Comanche 470_B_3 Colorado Pueblo 750 2009 2009

Elm Road Generating Station 56068_B_1 Wisconsin Milwaukee 615 2009 2009

Two Elk Generating Station 55360_B_1 Wyoming Campbell 300 2009 2009

J K Spruce 7097_B_BLR2 Texas Bexar 750 2009 2009

Dallman 963_B_34 Illinois Sangamon 200 2009 2009

Charles R Lowman 56_B_1 Alabama Washington 86 1969 2008

John E Amos 3935_B_1 West Virginia Putnam 800 1971 2008

John E Amos 3935_B_2 West Virginia Putnam 800 1972 2008

Cholla 113_B_4 Arizona Navajo 380 1981 2008

Roxboro 2712_B_1 North Carolina Person 369 1966 2008

Roxboro 2712_B_3A North Carolina Person 341 1973 2008

Roxboro 2712_B_3B North Carolina Person 341 1973 2008

Miami Fort 2832_B_7 Ohio Hamilton 500 1975 2008

Miami Fort 2832_B_8 Ohio Hamilton 500 1978 2008

Cogentrix Virginia Leasing Corp 10071_B_2A Virginia Portsmouth 19 1988 2008

Cogentrix Virginia Leasing Corp 10071_B_2B Virginia Portsmouth 19 1988 2008

Cogentrix Virginia Leasing Corp 10071_B_2C Virginia Portsmouth 19 1988 2008

J M Stuart 2850_B_1 Ohio Adams 585 1971 2008

J M Stuart 2850_B_2 Ohio Adams 597 1970 2008
5

J M Stuart 2850_B_3 Ohio Adams 597 1972 2008

J M Stuart 2850_B_4 Ohio Adams 597 1974 2008

Monroe 1733_B_3 Michigan Monroe 795 1973 2008

Belews Creek 8042_B_1 North Carolina Stokes 1,115 1974 2008

Belews Creek 8042_B_2 North Carolina Stokes 1,115 1975 2008

Bowen 703_B_3BLR Georgia Bartow 902 1974 2008

Bowen 703_B_4BLR Georgia Bartow 929 1975 2008

Hammond 708_B_1 Georgia Floyd 112 1954 2008

Hammond 708_B_2 Georgia Floyd 112 1954 2008

Hammond 708_B_3 Georgia Floyd 112 1955 2008

Hammond 708_B_4 Georgia Floyd 510 1970 2008

Wansley 6052_B_1 Georgia Heard 891 1976 2008

Harding Street 990_B_70 Indiana Marion 435 1973 2008

Cogentrix Hopewell 10377_B_1A Virginia Hopewell (city) 18 1987 2008

Cogentrix Hopewell 10377_B_1B Virginia Hopewell (city) 18 1987 2008

Cogentrix Hopewell 10377_B_1C Virginia Hopewell (city) 18 1987 2008

Ghent 1356_B_4 Kentucky Carroll 478 1984 2008

Council Bluffs 1082_B_3 Iowa Pottawattamie 690 1978 2008

PPL Brunner Island 3140_B_3 Pennsylvania York 749 1969 2008

PPL Montour 3149_B_1 Pennsylvania Montour 774 1972 2008

PPL Montour 3149_B_2 Pennsylvania Montour 766 1973 2008

Comanche 470_B_1 Colorado Pueblo 366 1973 2008

Comanche 470_B_2 Colorado Pueblo 370 1975 2008

Cayuga 1001_B_2 Indiana VermilIon 473 1972 2008

Winyah 6249_B_1 South Carolina Georgetown 295 1975 2008

Winyah 6249_B_2 South Carolina Georgetown 295 1977 2008

Winyah 6249_B_3 South Carolina Georgetown 295 1980 2008

Chesterfield 3797_B_6 Virginia Chesterfield 658 1969 2008

Brayton Point 1619_B_1 Massachusetts Bristo 243 1963 2008

Brayton Point 1619_B_2 Massachusetts Bristo 244 1964 2008

Weston 4078_B_4 Wisconsin Marathon 519 2008 2008

Gorgas 8_B_10 Alabama Walker 690 1972 2007

Gorgas 8_B_8 Alabama Walker 165 1956 2007

Gorgas 8_B_9 Alabama Walker 175 1958 2007

John E Amos 3935_B_3 West Virginia Putnam 1,300 1973 2007

Mountaineer 6264_B_1 West Virginia Mason 1,300 1980 2007

Cardinal 2828_B_1 Ohio Jefferson 600 1967 2007

Cardinal 2828_B_2 Ohio Jefferson 600 1967 2007

Roxboro 2712_B_2 North Carolina Person 639 1968 2007

Roxboro 2712_B_4A North Carolina Person 343 1980 2007

Roxboro 2712_B_4B North Carolina Person 343 1980 2007

Cogentrix Virginia Leasing Corp 10071_B_1A Virginia Portsmouth 19 1988 2007

Cogentrix Virginia Leasing Corp 10071_B_1B Virginia Portsmouth 19 1988 2007

Cogentrix Virginia Leasing Corp 10071_B_1C Virginia Portsmouth 19 1988 2007

Killen Station 6031_B_2 Ohio Adams 615 1982 2007

Marshall 2727_B_2 North Carolina Catawba 378 1966 2007

Marshall 2727_B_3 North Carolina Catawba 657 1969 2007

Cogentrix Hopewell 10377_B_2A Virginia Hopewell (city) 18 1987 2007

Cogentrix Hopewell 10377_B_2B Virginia Hopewell (city) 18 1987 2007

Cogentrix Hopewell 10377_B_2C Virginia Hopewell (city) 18 1987 2007

Ghent 1356_B_3 Kentucky Carroll 478 1981 2007
6

Louisa 6664_B_101 Iowa Louisa 700 1983 2007

Allen S King 1915_B_1 Minnesota Washington 571 1968 2007

Mitchell 3948_B_1 West Virginia Marshall 800 1971 2007

Gibson 6113_B_1 Indiana Gibson 630 1975 2007

Gibson 6113_B_2 Indiana Gibson 628 1975 2007

Winyah 6249_B_4 South Carolina Georgetown 270 1981 2007

Pleasant Prairie 6170_B_2 Wisconsin Kenosha 617 1985 2007

Cross 130_B_3 South Carolina Berkeley 620 2007 2007

Wygen II 55479_B_4 Wyoming Campbell 90 2007 2007

Council Bluffs 1082_B_4 Iowa Pottawattamie 790 2007 2007

Assumed BART Facilities and Units

State County Fac ID Facility Name Unit ID

MI Bay B2840 CE - KARN/WEADOCK EU00036

MI Bay B2840 CE - KARN/WEADOCK EU00037

MI Eaton B4001 LAN. BW&L ERICKSON EU00007

MI Houghton B6553 UP POWER CO / PORTAGE EU00008

MI Huron B2815 DTE - HARBOR BEACH EU00009

MI Ingham B2647 LAN. BW&L Eckert RG00023

MI Ingham B2647 LAN. BW&L Eckert RG00023

MI Ingham B2647 LAN. BW&L Eckert RG00023

MI Ingham B2647 LAN. BW&L Moores Park RG00021

MI Marquette B4261 WE-ENERGIES EU00029

MI Marquette B4261 WE-ENERGIES EU00030

MI Marquette B4261 WE-ENERGIES EU00031

MI Marquette B4261 WE-ENERGIES EU00032

MI Marquette B4261 WE-ENERGIES EU00033

MI Monroe B2816 DTE - MONROE EU00062

MI Monroe B2816 DTE - MONROE EU00068

MI Monroe B2816 DTE - MONROE EU00063

MI Monroe B2816 DTE - MONROE EU00064

MI Ottawa B2835 CE – CAMPBELL EU00062

MI Ottawa B2835 CE – CAMPBELL EU00061

MI Saint Clair B2796 DTE - ST. CLAIR / BELLE RIVER EU00111

MI Saint Clair B6145 DTE – GREENWOOD EU00009

MI Wayne B2132 WYANDOTTE EU00036

MI Wayne B2185 DETROIT PLD, MISTERSKY EU00014

MI Wayne B2811 DTE – TRENTON EU00035

OH Lake 0243160009 CEI., EASTLAKE PLANT B005

OH 0247030013 Orion Power Midwest B012

OH 0285010188 Dept of Public Utilities, City of Orrville B001

OH 0285010188 Dept of Public Utilities, City of Orrville B004

OH 0448020006 Toledo Edison Co., Bay Shore B003

OH 0448020006 Toledo Edison Co., Bay Shore B004

OH 0616000000 Conesville Power Plant B003

OH 0616000000 Conesville Power Plant B004

OH 0616000000 Conesville Power Plant B007

OH 0641050002 Cardinal Power Plant B001

OH 0641050002 Cardinal Power Plant B002
7

OH 0641050002 Cardinal Power Plant B003

OH 0641050002 Cardinal Power Plant B004

OH 0641050002 Cardinal Power Plant B008

OH 0641050002 Cardinal Power Plant B009

OH 0641050002 Cardinal Power Plant B009

OH Jefferson 0641160017 W. H. SAMMIS PLANT B011

OH Jefferson 0641160017 W. H. SAMMIS PLANT B012

OH Jefferson 0641160017 W. H. SAMMIS PLANT B013

OH 0684000000 Muskingum River Power Plant B006

OH Adams 0701000007 DP&L, J.M. Stuart Generating Station B001

OH Adams 0701000007 DP&L, J.M. Stuart Generating Station B002

OH Adams 0701000007 DP&L, J.M. Stuart Generating Station B003

OH Adams 0701000007 DP&L, J.M. Stuart Generating Station B004

OH 0701000060 DP&L, Killen Station B001

OH 1409040243 City of Hamilton Dept of Public Utilities B002

OH 1409040243 City of Hamilton Dept of Public Utilities B008

OH 1409040243 City of Hamilton Dept of Public Utilities B009

OH 1413100008 CG&E W. C. BECKJORD B005

OH 1413100008 CG&E W. C. BECKJORD B006

OH 1431350093 CG&E MIAMI FORT STATION B015

IL Peoria 856 Ameren – Edwards 2

IL Sangamon 963 CWLP – Dallman 31

IL Sangamon 963 CWLP – Dallman 32

IL Christian 876 Dominion – Kincaid 1

IL Christian 876 Dominion – Kincaid 2

WI COLUMBIA 111003090 Alliant Energy-Columbia Generating B20

WI COLUMBIA 111003090 Alliant Energy-Columbia Generating B21

WI COLUMBIA 111003090 Alliant Energy-Columbia Generating B22

WI GRANT 122014530 Alliant Energy, Nelson Dewey B22 (unit 2)

WI MILWAUKEE 241007690 We Energies-Oak Creek Station B26 (Unit 6)

WI MILWAUKEE 241007690 We Energies-Oak Creek Station B27 (Unit 7)

WI MILWAUKEE 241007690 We Energies-Oak Creek Station B28

WI MILWAUKEE 241007800 We Energies-Valley Station B21

WI MILWAUKEE 241007800 We Energies-Valley Station B23

WI MILWAUKEE 241007800 We Energies-Valley Station B24

WI BROWN 405031990 WI Public Service Corp - JP Pulliam B27 (unit 8)

WI SHEBOYGAN 460033090 WP & L Alliant Energy – Edgewater B24 

WI BUFFALO 606034110

Dairyland Power Coop Alma Station 

(J.P. Madgett boilers) B25 (+B26)

WI BUFFALO 606034110 Dairyland Power Coop Alma Station B27

WI VERNON 663020930 Dairyland Power Coop Genoa Station B20

WI VERNON 663020930 Dairyland Power Coop Genoa Station B25

IN Porter 995 Bailly 7

IN Porter 995 Bailly 8

IN Vermillion 1001 Cayuga 1

IN Vermillion 1001 Cayuga 2

IN Montgomery 1024 Crawfordsville 6

IN Warrick 1012 Culley 2
8

IN Warrick 1012 Culley 3

IN Gibson 6113 Gibson 1

IN Gibson 6113 Gibson 2

IN Cass 1032 Logansport 6

IN Sullivan 6213 Merom 1

IN Sullivan 6213 Merom 2

IN LaPorte 997 Michigan City 12

IN Lake 996 Mitchell 11

IN Pike 994 Petersburg 1

IN Pike 994 Petersburg 2

IN Pike 994 Petersburg 3

IN Pike 1043 Ratts 1

IN Pike 1043 Ratts 2

IN Wayne 7335 RPL 2

IN Jasper 6085 Schahfer 14

IN Jasper 6085 Schahfer 15

IN Lake 981 Stateline 4

IN Marion 990 Stout 70

IN Dearborn 988 Tanners Creek 4

IN Vigo 1010 Wabash River 6

IN Warrick 6705 Warrick 4

IA 07-02-005 Cedar Falls Utilities Unit #7 (EU10.1A)

IA 88-01-004

Central Iowa Power Cooperative 

(CIPCO) – Summit Lake Station

CombTurbines (EU 

1/1G, EU2/2G)

IA 70-08-003

Central Iowa Power Cooperative 

(CIPCO) – Fair Station

Unit # 2 (EU 2 & 

EU 2G)

IA 85-01-006 City of Ames - Steam Electric Plant Boiler #7 (EU 2)

IA 29-01-013 Interstate Power & Light - Burlington Main Plant Boiler.

IA 03-03-001 Interstate Power & Light - Lansing

Boiler #4. Sixteen 

units in total.

IA 23-01-014 Interstate Power & Light - ML Kapp

Boiler #2. Six units 

in total.

IA 57-01-042 Interstate Power & Light - Prairie Creek

Boiler #4. Fourteen 

units in total.

IA 78-01-026 MidAmerican Energy Co - Council Bluffs Boiler #3 (EU003)

IA 97-04-010 MidAmerican Energy Co - Neal North

Boilers #1-3 

(EU001 - EU003)

IA 97-04-011 MidAmerican Energy Co - Neal South Boiler #4 (EU003)

IA 70-01-011 Muscatine Power and Water Boiler #8

IA 63-02-005 Pella Municipal Power Plant Boilers #6-8

MN 2709900001 Austin Utilities NE Power Station EU001

MN 2713700027 Hibbing Public Utilities EU003

MN 2703100001 MN Power, Taconite Harbor EU003

MN 2706100004 MN Power, Boswell Energy Center EU003

MN 2701500010 New Ulm Public Utilities EU003 - Boiler 4

MN 2711100002 Otter Tail Power Hoot Lake EU003

MN 2710900011 Rochester Public Utilities, Silver Lake EU003

MN 2710900011 Rochester Public Utilities, Silver Lake EU004

MN 2713700028 Virginia Public Utilities EU003 - Boiler 9

MN 2714100004 Xcel Energy, Sherco EU001, EU002

MN 2716300005 Xcel Energy, Allen S King EU001 - Boiler 1
9

MN 2705300015 Xcel Energy, Riverside EU003 - Boiler 8

MO 290710003 Ameren -Labadie B1, B2, B3, B4

MO 291830001 Ameren - Sioux B1, B2

MO 290990016 Ameren - Rush Island B1, B2

MO 290950031 Auila - Sibley B3 - 5C

MO 291430004 Assoc. Electric - New Madrid

B1(EP-01), B2 

(EP-02)

MO 290770039 City Utilities Springfield - Southwest B1 (E09)

MO 290770005 City Utilities Springfield - James River EO7, EO8

MO 290970001 Empire Distric Electric - Asbury B7

MO 290830001 KC Power and Light - Montrose EP08

MO 290210004 Aqula - Lake Road EP06

MO 291750001 Assoc. Electric - Thomas Hill EP01, EP02

MO 290950021 Trigen - Kansas City B1A

MO 290190002 City of Columbia Municipal Power Plant EP02

MO 291950010 Marshall Munipal Utilities EP05

MO 290950050 Independence Power & Light-Blue Valley B3 (EP05)

WV 3943 Fort Martin

WV 6004 Pleasants

WV 3948 Mitchell

WV 3935 Amos

WV 6264 Mountaineer

WV 3944 Harrison

TN 3396 TVA Bull Run

TN 3399 TVA Cumberland

KY 1363 Cane Run

KY 1364 Mill Creek

KY 6041 Spurlock

KY 1384 John Sherman Cooper

KY 1353 Big Sandy

KY 1356 Ghent

KY 1355 Brown

KY 1374 Owensboro Municipal

KY 1372 Henderson Municipal

KY 1378 Paradise

KY 1361 Coleman

KY 1382 Reid/Henderson 2

KY 6639 Green
APPENDIX E

Public Participation
Public Notice 

Ohio Environmental Protection Agency 

Redesignation and Maintenance Plan for the Ohio Portion of the CincinnatiHamilton, OH-KY-IN Annual PM2.5 Nonattainment Area 

Butler, Clermont, Hamilton, and Warren Counties 

Notice is hereby given that the Director of the Ohio Environmental Protection Agency, 

(Ohio EPA) is requesting that the United States Environmental Protection Agency (U.S. 

EPA) revise the current air quality designation for the Ohio portion of the CincinnatiHamilton area, including Butler, Clermont, Hamilton, and Warren counties to attainment 

with respect to the 1997 annual PM2.5 national ambient air quality standard (NAAQS). 

Air quality monitoring data collected between 2007 and 2009 in the region demonstrate 

attainment of the NAAQS and there is evidence that the improved air quality is due to 

permanent, enforceable emission reductions. In addition, existing requirements are 

sufficient to maintain the 1997 annual PM2.5 standard in this area at least ten years into 

the future. 

Computer models show that existing state and federal emission reduction requirements 

are sufficient to attain and maintain the NAAQS in the Cincinnati-Hamilton area. 

Therefore, Ohio EPA proposes to utilize existing emission inventory information and 

projections of future emissions as the demonstration of the ability to maintain the 

NAAQS in the Cincinnati-Hamilton area in the future. 

The Cincinnati-Hamilton area is currently designated as nonattainment for the 1997 

annual PM2.5 standard. As part of an acceptable maintenance plan, Ohio EPA is 

required to develop a contingency plan to provide for additional emission reductions if a 

violation of the NAAQS is monitored after the area has been redesignated. The plan 

which Ohio EPA is proposing to USEPA as part of this redesignation contains 

reductions which will help alleviate the ambient problem until a revised SIP can be 

developed. 

The State of Ohio proposes to: 

1. Request the U.S. EPA redesignate the Cincinnati-Hamilton area to attainment 

with respect to the 1997 annual PM2.5 NAAQS and revise the maintenance plan. 

This request will document that existing enforceable control measures are 

responsible for the observed improvement in air quality. 

2. Designate existing controls as sufficient to maintain the NAAQS into the future. 

3. Commit to the proposed contingency plan. 

These actions must be noticed to allow public comment and to satisfy USEPA 

requirements for public involvement in SIP related activities. This notice addresses Ohio 
EPA’s reliance on the emission projections as evidence of attainment and maintenance 

and the commitment to institute contingency measures if ambient exceedances or 

violations trigger the contingency plan requirements. Written comments will be received 

on or before November 29, 2010 at the following address: 

E-mail: Carolina.Prado@epa.state.oh.us

Mailing address: Carolina Prado 

Ohio Environmental Protection Agency, DAPC 

Lazarus Government Center 

P.O. Box 1049 

Columbus, Ohio 43216-1049 

Phone: (614)- 728-1743 

Pursuant to Section 119.03 of the Ohio Revised Code, a public hearing on this 

redesignation request will be conducted as follows: November 29, 2010 at 2:30 P.M., at 

Hamilton County Department of Environmental Services located at 250 William Howard 

Taft Road, Cincinnati, Ohio. 

All interested persons are entitled to attend or be represented at the hearings and give 

written or oral comments on these changes. All oral comments presented at the 

hearing, and all written statements submitted at the hearing or to the above address by 

the close of business on November 30, 2010 will be considered by Ohio EPA prior to 

final action on this redesignation. Written statements submitted after November 30, 

2010 may be considered as time and circumstances permit, but will not be part of the 

official record of the hearing. 

This redesignation and maintenance request is available on Ohio EPA DAPC’s Web 

page for electronic downloading. The URL is: 

http://www.epa.ohio.gov/dapc/SIP/annual.aspx. Questions regarding accessing the web 

site should be directed to Arunee Niamlarb at 614-728-1342; other questions or 

comments about this document should be directed to either Carolina Prado, (614)-644-

2310, Carolina.Prado@epa.state.oh.us or Jennifer Hunter at (614) 644-3696, 

Jennifer.Hunter@epa.state.oh.us or mailed to Carolina Prado or Jennifer Hunter at the 

above address. 
1

2

3

ENVIRONMENTAL PROTECTION AGENCY

PUBLIC HEARING

1

4 IN THE MATTER OF:

5 OHIO EPA REQUESTS

6 RECOGNITION OF IMPROVED

7 AIR QUALITY IN CINCINNATI

8

9

10 PUBLIC HEARING HELD AT THE

11 HAMILTON COUNTY DEPARTMENT OF ENVIRONMENTAL

12 SERVICES, 250 WILLIAM HOWARD TAFT ROAD, CINCINNATI,

13 OHIO, ON MONDAY, NOVEMBER 29, 2010, BEGINNING AT

14 2:37 P.M., REPORTED BY MARY A. SCHWEINHAGEN, RPR,

15 RMR, AND CRR.

16

17

18

19

20

21

22

23

24

DEC 0::; 2010

25 --

i~

WWW.BRITTONANDASSOCIATES.COM

DAYTON - (937) 228-3370 CINCINNATI - (513) 651-3370
1

2 McCarron.

2

MS. MCCARRON: My name is Mary

I am the public involvement coordinator,

3 and I'll be presiding over the hearing today.

4 Thank you for taking the time to

5 attend this hearing. It's to gather any comments

6 from interested parties regarding Ohio EPA's

7 proposed action.

8 Ohio EPA is planning to ask U.S.

9 EPA to revise the current air quality designation

10 for the Ohio portion of the Cincinnati-Hamilton

11 area to attainment with respect to the 1997 annual

12 PM2.5 national ambient air quality standard. The

13 proposed redesignation request affeots Butler,

14 Clermont, Hamilton, and Warren oounties.

15 Comments oan be submitted until

16 the olose of business on November 30th, 2010, to

17 Carolina Prado at Carolina.prado@epa.ohio.gov.

18 All interested persons are

19 entitled to attend or to be represented and to

20 present oral and/or written oomments oonoerning the

21 proposed aotion. All written and oral oomments

22 reoeived as part of the offioial record will be

23 oonsidered by the direotor of Ohio EPA.

24 To be inoluded in the offioial

25 reoord, written oomments must be reoeived, as I

WWW.BRITTONANDASSOCIATES.COM

DAYTON - (937) 228-3370 CINCINNATI - (513) 651-3370
1 said earlier, by November 30th, 2010. These

3

2 comments can be filed with me today or e-mai1ed to

3 the address mentioned earlier. All written

4 comments submitted for the record receive the same

5 consideration as any oral testimony given today.

6 Written comments submitted after

7 November 30th may be considered as time and

8 circumstances permit but won't be part of the

9 official record.

10 At this point I am going to read

11 the names of the folks who have registered at the

12 hearing today, and if you don't want to speak just

13 go ahead and say pass.

14 The first person who registered is

15 Dick Brewer.

16 MR. DICK BREWER: Pass.

17

18

19

MS. MCCARRON: And Andy Reser?

MR. ANDY RESER: Pass.

MS. MCCARRON: I think at this

20 point there is nobody else who is signed in to

21 present testimony, and so we will go off the record

22 until 3 p.m.

23 (WHEREUPON, the parties went off

24 the record.)

25 MS. MCCARRON: At this time is

WWW.BRITTONANDASSOCIATES.COM

DAYTON - (937) 228-3370 CINCINNATI - (513) 651-3370
4

1 there anybody else who would wish to testify for

2 the hearing? Okay. Seeing none, we are going to

3 go ahead and close out this hearing.

4 I remind you that written comments

5 can be submitted through November 30th.

6 The time is now 3:06, and this

7 hearing is adjourned.

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(Hearing adjourned at 3:06 p.m.)

WWW.BRITTONANDASSOCIATES.COM

DAYTON - (937) 228-3370 CINCINNATI - (513) 651-3370
1

2

C E R T I F I CAT E

5

3 I, Mary A. Schwe1nhaqen, a Req1stered

4 Mer1t Reporter and Cert1f1ed Realt1me Reporter do

5 hereby cert1fy that the foreqo1nq 1S a full, true

6 and correct transcr1pt of my notes taken 1n the

7 above-styled case and thereafter transcr1bed by me.

8

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WWW.BRITTONANDASSOCIATES.COM

DAYTON - (937) 228-3370 CINCINNATI - (513) 651-3370
Division of Air Pollution Control 

Response to Comments 

PM2.5 redesignation request for the 1997 PM2.5 Annual Standard 

for the Cincinnati-Hamilton Area 

Agency Contact for this Package

Division Contact: (Carolina Prado, Division of Air Pollution Control, 614-644-2310, 

Carolina.Prado@epa.state.oh.us) 

Ohio EPA held a public hearing in Cincinnati, OH on November 29, 2010, regarding the 

Redesignation Request and Maintenance Plan for the Cincinnati-Hamilton PM2.5

Nonattainment Area. This document summarizes the comments and questions received 

at the public hearing and during the associated comment period, which ended on 

November 30, 2010. Ohio EPA reviewed and considered all comments received during 

the public comment period. 

By law, Ohio EPA has authority to consider specific issues related to protection of the 

environment and public health. 

In an effort to help you review this document, the questions are grouped by topic and 

organized in a consistent format. The name of the commenter follows the comment in 

parentheses. 

General/Overall Concerns

Comment 1: The final submission should include electronic copies of the 

RunSpec files, the user-supplied input database(s), and the 

output databases(s) produced for the analysis. The inclusion 

of post-processing scripts in Section 4.6 and 5 is very helpful 

(Patricia Morris, U.S. EPA - Region 5). 

Response 1: The RunSpec files, input and output databases, SQL postprocessing scripts, and the revised documentation have been 

saved to CDs and 2 copies will be provided to U.S. EPA. 

Comment 2: Table 3 in the unnumbered section at the beginning of the 

document includes a summary of the RunSpec parameters 

used in this analysis. The Appendix, which starts on 

numbered page 11, includes a more detailed description of 

the RunSpec parameters and user inputs. There are some 

discrepancies between Table 3 and the Attachment text 
which are listed in order below (Patricia Morris, U.S. EPA – 

Region 5). 

Response 2: The text discrepancies between Table 3 and Appendix C have 

been corrected as indicated. 

Comment 3: The default database version listed in Table 3 (“MOVES 

default database 2010615111524”) does not exist. The 

documentation needs to accurately refer to the version of the 

database used (Patricia Morris, U.S. EPA – Region 5). 

Response 3: We have correctly identified the version in the final document. 

Comment 4: For calculating annual PM2.5 emissions, OKI used a single 

daily temperature profile that was based on annual average 

temperatures (Table 3 and Section 1.3). PM emissions in 

MOVES are sensitive to temperature, and the use of a single 

day temperature profile to represent the entire year may not 

accurately reflect the impact of seasonal temperature 

changes on PM emissions form motor vehicles. For a PM 

inventory that is going to be used for air quality modeling in 

an attainment demonstration, seasonal, monthly, or even 

daily temperatures may be needed, depending on the 

detailed circumstances of the analysis. Given that this 

analysis is not being used for an attainment demonstration, 

the use of an average annual temperature profile is 

acceptable, but approval of this approach should be taken as 

a general approval of the use of a single daily temperature 

profile for all uses (Patricia Morris, U.S. EPA - Region 5). 

Response 4: It is our understanding that the use of one set of annual averages 

is acceptable for developing a motor vehicle emissions budget 

and for transportation conformity. This methodology is similar to 

what OKI used for MOBILE. We agree that MOVES assumptions 

used for different state implementation purposes may need to 

vary. OKI will be experimenting with a four season approach to 

annual emissions. When MOVES is used for attainment 

demonstrations purposes we will discuss further the appropriate 

assumptions to use with all parties involved. 

Comment 5: Section 1.3 of the Appendix says, “Ozone season daily 

analysis is done using July temperatures.” What is the 

purpose of this analysis in the context of this submission? 
There doesn’t seem to be any other reference to this in the 

document (Patricia Morris, U.S. EPA - Region 5). 

Response 5: OKI's MOVES runs generated additional information (i.e. July 

emission rates) that was not required for this PM2.5 SIP. 

Document references to an ozone season analysis and July 

temperatures have been deleted. 

Comment 6: Table 3 says that all roads types including off-network were 

included. Section 1.6 says, “There are five types of road 

types available in MOVES, since OKI travel demand model 

could not predict the VMT in parking lots (off network) only 

four road types is used to assign activity for vehicles starts 

and for evap emissions while vehicles are parked. It does not 

apply to VMT parking lots. Given that start emissions were 

calculated, the entry in Table 3 seems to be the correct one, 

but the document should be clarified (Patricia Morris, U.S. 

EPA - Region 5). 

Response 6: We have included the appropriate clarification in the final 

document.

Comment 7: Table 3 says that all PM2.5 categories were selected in the 

Pollutants and Processes panel, but Section 1.7 says that 

"total PM2.5 emissions are selected in addition of (sic) sulfur 

dioxide." If that is accurate, the inventory would not include 

brake-wear and tire-wear emissions which are calculated 

separately from "Total PM2.5" which only includes exhaust 

emissions. Given that the inventories include brake and tire 

wear, Table 3 seems to have the correct information, but the 

documentation should be clarified (Patricia Morris, U.S. EPA 

- Region 5). 

Response 7: We have included the appropriate clarification in the final 

document. 

Comment 8: Table 3 and Section 2.2 indicate that for the Ohio counties, 

local populations were used for all source types except 41, 

61, and 62. However, in the Kentucky counties, default data 

were also used for the light truck categories (31 - passenger 

trucks and 32- light commercial trucks). We are concerned 

about the use of default data for the light truck categories. 

Our technical guidance is very clear on the importance of 
local information for source type population. While it may be 

reasonable to use national defaults for some of the heavy 

duty categories as was done in the Ohio counties, OKI 

should be able to develop local data for the light duty 

categories. If Kentucky has local data for passenger cars, 

they should also have local data for light trucks (Patricia 

Morris, U.S. EPA - Region 5). 

Response 8: The Kentucky Transportation Cabinet (KYTC) decoded VINs and 

provided the results by HPMS source type to OKI. 

Inconsistencies were found in the results and could not be 

corrected in time for OKI's analysis. It was decided that a 

combination of the KYTC VIN data and MOVES default data 

would provide the most accurate results. KYTC continues to try to 

correct the VIN decoding errors. 

End of comments