# Appendix A1

Parkersbur g- Marietta Area
Monitoring Data

2008 - 2010

PM 2.5 Annual StandardUNITED STATES ENVIRONMENTAL PROTECTION AGENCY

DESIGN VALUE REPORT

Jan. 4, 2012 Report Request ID: 944177 Report Code: AMP480

Selection Criteria Page 1 User ID: GYE

State County City

Site Parameter POC AQCR UAR CBSA CSA EPA

Region Method Duration Begin Date End Date

54 107 1002 GEOGRAPHIC SELECTIONS

PROTOCOL SELECTIONS

Parameter

Classification Parameter Method Duration

DESIGN VALUE 88101

SELECTED OPTIONS

USER SITE METADATA

MERGE PDF FILES

QUARTERLY DATA IN WORKFILE

WORKFILE DELIMITER

SINGLE EVENT PROCESSING Option Type Option Value

COUNTY NAME

YES

NO

,

EXCLUDE REGIONALLY CONCURRED EVENTS

GLOBAL DATES

2010 Start Date End Date

2010 Tribal

Code

APPLICABLE STANDARDS

Standard Description

PM25 24-hour 2006

PM25 Annual 2006

### UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM

PRELIMINARY DESIGN VALUE REPORT Report Date: Jan. 4, 2012

Notes: 1. Warning: Computed design values are a snapshot of the data at the time the report was run (may not be all data for year).

2. Annual Values not meeting completeness criteria are marked with an asterisk ('*'). Page 1 of 2

### UNITED STATES ENVIRONMENTAL PROTECTION AGENCY

AIR QUALITY SYSTEM

PRELIMINARY DESIGN VALUE REPORT Report Date: Jan. 4, 2012

Notes: 1. Warning: Computed design values are a snapshot of the data at the time the report was run (may not be all data for year).

2. Annual Values not meeting completeness criteria are marked with an asterisk ('*'). Page 2 of 2 

## Pollutant:

Standard Units:
NAAQS Standard:

Statistic:

Statistic: Site-LevelPM2.5 - Local Conditions(88101) Micrograms/cubic meter (LC)(105)
PM25 24-hour 2006 / PM25 Annual 2006
Annual Weighted Mean

Annual 98th Percentile Level:

Level: Design Value Year: 2010

REPORT EXCLUDES MEASUREMENTS WITH REGIONALLY CONCURRED EVENT FLAGS.

15

35 State Name: West Virginia

Site_ID /

COUNTY NAME |

|

| Cred.

Days Comp.

Qrtrs Wtd.

Mean 98th

Perctil Cert. |

|

| Cred.

Days Comp.

Qrtrs 98th

Perctil Wtd.

Mean Cert. |

|

| Cred.

Days Comp.

Qrtrs 98th

Perctil Wtd.

Mean Cert. |

|

| Design

Value Valid

Ind. |

|

| Design

Value Valid

Ind. 24-Hour Annual 2010 2009 2008

54-107-1002

Wood 117 4 28.4 13.4 N 350 4 26.5 12.0 N 113 4 28.2 13.8 Y 28 Y 13.1 Y

# Appendix A2

2010 State and Local Air Monitoring Stations (SLAMS)

PM 2.5 and Ozone Data Certification

# Appendix B1

2005 Base Year PM 2.5 SIP Inventory

## 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

Introduc tion ................................................................................................. 3

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

2.0 Area S ources .............................................................................................. 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 Bu rners 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 Fa ctor 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 nu mber of counties with air quality data showing nonattainment for the following PM 2



## . 5 

## standard:

• 

## Annual Standard = 15.0 ug/m3

The Clean Air Act Amendments (CAA A) requires all states to revise and submit State Implementation Plans (SIP) for areas which are classified as non-atta inment of the 1997 Fine Particle (PM 2



## . 5 

## ) National Ambient Air Quality St andards (NAAQS). The Federal Register ( Vol. 72, No. 79/ Wednesday, April 25, 2007) provides the emissions inventory rules and regulations for the PM 2



## . 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 PM 2



## . 5 

## standards, a new
attainment demonstration SIP will be necessary. A key el ement in the overall SIP planning process is the need for an updated emissions inventory. This document presents the 2005 Base Year Pa rticulate SIP Emissions Inv entory for Ohio as required by the CAAA. It includes emissions for poi nt, area, on-road mobi le and non-road mobile
for the State of Ohio.

This technical report document s the procedures and the me thodologies that were used in the development of daily emissions for all counties in Ohio. This report describes the following:

1. Identification of st ationary and mobile sources included in the inventory; 2. Sources of data, and data collecti on methods used in the development of the inventory; 3. Methods and procedures used to estimate emissions; and 4. Assumptions considered in t he development of the emissions

inventories.

The intent of this report is to descri be 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 Em ission 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 Envir onmental 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 Ai r Pollution Control (DAPC), to assist the regulated community in prepar ing 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 emission s fee/inventory process conducted by Ohio EPA and include emissions, process rates, oper ating schedules, emissions control data

and other relevant information.

The STARShip files are electr onically transferred to the DAPC and stored into the Division’s Oracle database, STARS. The f iles 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 ag ain using the United States Environmental Protection Agency’s (U.S.EPA) QA/QC so ftware for format and content. The data is finally submitted to LADCO for emissions processing through the Emissions Modeling System. The State provided inv entory for Electric Generating Un its (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 report ed emissions as meas ured 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 emissi ons inventories is that between point and

area sources. In this invent ory, 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 t he area source inventory is pr ovided in Section 2. The point source inventory descr ibed 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 Identificati on 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 fac ility-reported actual 2005 emissions.

1.1.2 Non-reactive VOC Emissions Adjustments

This section is primarily appl icable for VOC pollutants. S ources are required to identify emissions of photochemically non-reactive Volatile Organic Compounds (VOC.) Based upon this information, those emissions have been specifically excl uded from the 2005 base line inventory in accordance with U.S. EPA’s “Recommended Policy on the Control of Volatile Organic Co mpounds.” 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 ((CF 3 

### ) 2 

### CFCF 2 

### OCH 3 

### )

• Heptafluoropropane ((CF 3 

### )CFCF 2 

### OC 2 

### H 5 

### )

• Perchloroethylene

• Cyclic, branched or linear completely methylated siloxanes

• Methyl acetate

• Volatile methyl siloxanes

• Acetone



## 1.1.3 Emissions Esti mation Methodologies

Since source reported actual annual emi ssions 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 spat ial profiles to the annual emissions to calculate weekday emissions rate s. 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 a nd 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 r equired 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 availa ble for fugitive sources. However, since

these emissions are now el ectronically reported in t he State’s ORACLE database, STARS, these emissions can be classified as point sources.

1.3 References
Getting Started: Emissions Inve ntory Methods for PM2.5 U. S. Environmental Protection Agency, Research Triangle Park, NC, September, 1999.

Emissions Inventory Guidance for Implem entation of Ozone and Particulate Matter National Ambient Air Qaulity Standards (NAAQ S) and Regional Haze Regulations, Office of Air Quality Planning & Standards Research, Triangle Park, NC. November

2005.

Compilation of Air Pollution Emission Factors, Fourth Edit ion and Supplements, AP-42.
U.S. Environmental Protecti on Agency, Research Triangle Park, NC, September 1985.

## 7 Preparing 2002 Regional PM2.5 Emissions QAQ PS PM Inventory Conference Inventory Conference San Diego, 2003.

Documentation for the 2002 Electric Generating Unit Nati onal Emissions Inventory (NEI). Eastern research group, Inc., 1600 Pe rimeter 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, indivi dual, 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 usi ng 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 lar gely based on Ohio’s data availability. Data which was not available on a county-lev el is estimated by assigning a percentage of the state’s total activity to each county based on the state’s popul ation or employment information. If Ohio county specific activity data is available throu gh Ohio EPA or other State Agencies, that data is us ed rather than allocating acti vity by percentage. Table 2-1

lists the sources which emit PM 2.5 

## , NO
x 

## and SO 2 

## along with the respective EFs used to calculate each pollutant.

Table 2-1 Categories in the 2005 PM 2 

## . 5 

## SIP Area Source inventory

Area Source NO
x 

## PM 2.5 

## SO 2 

## 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 population 4 

## . Emissions factors are given in table 2-1.

The area source emissions are calculated ba sed 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 population 4



## . The area source NO X 

## emissions are calculated and adjusted by subtracting the emissions due to point source s. 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 fact ors are given in table 2-1.

SO 2 

## emissions were calculated us ing EF 42.6 Lb/1000 Gal. PM 10 

## and PM 2.5 

## emissions are calculated using 1Lb/1000 Ga l and 0.25 Lb/1000 Gal respecti vely. All Factors are

obtained from AP-42 19



## Industrial Residual Oil Combustion (SCC 2102005000)

Ohio’s fuel consumption is apportioned per county based on the county’s population 4



## . The area source NO X 

## emissions are calculated and adjusted by subtracting the emissions due to point sour ces. 54,652 thousand gallons 14 

## are consumed in 2005 and a heating value of 140 MMBTU/1000 Gal is used. The SO 2 

## emissions are calculated using EF 157 Lb/1000 Gal. PM 10 

## and PM 2.5 

## emissions are calculated using 7.17 Lb/1000 Gal and 4.67 Lb/1000 Gal respectively. All factors are obtained from AP-42 19



## Industrial Natural Gas Combustion (S CC 2102006000)

Ohio’s fuel consumption is apportioned per county based on the county’s population 4



## . The area source NO X 

## emissions are calculated and adjusted by subtracting the emissions due to point sources. 293,857 MMCF 14 

## are consumed in 2005. The SO 2

## 10 emissions are calculated usi ng EF 0.6 Lb/MMBTU. The PM 10 

## and PM 2.5 

## emissions are calculated using 7.6 Lb/MMBTU. All factors were obtained from AP-42 19



## 2.3 Residential Fuel Combustion

Residential Coal Combustion (SCC 2104001000)

Ohio’s household consumption of coal is apportioned per county based on county population 4 

## . NO X 

## emissions are calculated using EF of 9.1 of coal. The SO 2 

## emissions are calculated using EF 31Lb/1000 Gal. The PM 10 

## and PM 2.5 

## emissions are calculated using 6.2Lb/Ton and 3.8 Lb/Ton respectively . All factors were obtained from AP-42 19



## Residential Distillate Oil Combustion (SCC 2104004000)

Ohio’s household consumption of distillate oil is apportioned per county based on county population 4 

## . NO X 

## emissions are calculated us ing EF of 18 lb/1000 gallons distillate fuel respectively. A heating value of 140 MMBTU/1000 Gal is used. The SO 2 

## emissions are calculated using EF 42.6 Lb/1000 Gal. The PM 10 

## and PM 2.5 

## emissions are calculated using 1.08Lb/1000 Gal and 0.83 Lb/1000 Gal respec tively. All factors are

obtained from AP-42 19



## Residential Liquid Petroleu m Gas Combustion (LPG) (SCC 2104007000)

Ohio’s household consumption of LPG is apportioned per county based on county population 4 

## . NO X 

## emissions are calculated using EF of 13 lb/1000 gallons LPG. The
SO 2 

## emissions are calculated usi ng EF 0.1 Lb/1000 Gal. The PM 10 

## and PM 2.5 

## emissions are calculated using 0.17Lb/1000 Gal. All factors are obtained from AP-42 19



## Residential Natural Gas Combustion (SCC 2104006010)

Ohio’s household consumption of LPG is apportioned per county based on county population 4 

## . NO X 

## emissions are calculated using EF of 94 lb/MMSCF. MMSCF stands
for Million Standard Cubic Feet. This source also emits SO 2 

## emissions which are calculated using EF 0.6 Lb/MMBTU. The PM 10 

## and PM 2.5 

## emissions are calculated using 7.6Lb/MMBTU. All factors are obtained from AP-42 19



## Residential Wood Combustion

NO X 

## emissions from this area source are ca lculated 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 cataly tic (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 ar e adjusted for those t hat burn wood. The following assumptions are applie d to those adjusted homes:

92 percent of wood combust ed 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 population 4 

## . 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 210400 8003 2104008004

SCC 2104008010 210400 8050 2104008030

SCC 2104008001

RAPIDS Code Non-Certified N on-Catalytic Catalytic Units

SO 2 

## 4.00E-01 4.00E-01 4.00E-01 Lb/ton

NO X 

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

PM 2.5 

## 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 SO 2 

## which is calculated using EF 0.4 Lb/Ton

EF. The PM 2.5 

## emissions are calculated using EF as shown in table 2-2. All factors are

obtained from AP-42 19



## 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 fr om the Ohio Department of Health, Vital Statistics 17



## . It is estimated that 3% of deaths occur outsi de 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 f eels that it is a combustion source and NOx needs to be included in the inventory al ong with the other com bustion sources. Through its Permits-to-Install for human crem ation, Ohio has se lected a NOx EF of
10.13lb/ton cremated to calculate emi ssions from this area source.

## 12 This source also emits PM, PM 10 

## , and PM 2.5 

## emissions which are calculated using EF 0.1 Lb/Ton, 0.071Lb/Ton and, 0.0637 Lb/Ton respec tively. All factors are obtained from

AP-42 19



## 2.5 Structur e Fires (SCC 2810030000)

The Structure Fires category includes resid ential and commercial fires resulting from unintentional actions. Intentional fires, fo rest and wildfires, agricultural, and vehicle burning are not included in this area source

. The State Fire Marshall Office, Fire

Prevention Bureau 15 

## provided data on the number of st ructure fires per county in 2005.

This area source is consider ed a combustion source for NO X 

## emissions which are calculated using EF 1.4 lb/ton burned. The residential and commercial structures fires for each county are tabul ated and a fuel load ing of 1.15 Ton/fire is applied. This source also emits PM, PM 10 

## , and PM 2.5 

## emissions which are calculat ed using EF 10.8 Lb/Ton.

This factor was obtained from AP-42 19



## 2.6 Outdoor W ood Boilers (SCC 2104008070)

Outdoor Wood Boilers (OWB), are also known as outdoor water stoves and outdoor wood furnaces, are used as outdoor residenti al heaters. These boilers have wood burning fireboxes surrounded by a water reserv oir vented by a chimney stack. The

combustion of the wood in t he 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 capacit y ranges from 60 gallons to 764 gallons. The operational design creates long periods where the fire smolders and creosote is formed 13



## .

When the water circulating through the furn ace 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 te mperature 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 fi ne condensed organic material t hat does not burn under cool, oxygen starved conditions. In addition, many owners burn green wood full of moisture which also causes poor combustion 12



## . The smoke created from these outdoor wood burning units can contain severa l 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 uni t 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)

• PM 2.5 

## emissions factor (g/kg wood) =13.82 (Average of indoor and outdoor) or
27.64 lb/ton of wood

The agreed upon methodology requi res 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 factor s (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 S ource National Emission Inventory For CAPS and HAPS. U.S. Environmental Protection Agency. Emissions Factor and inventory Group. E.H Pe chan and Associates, Inc. January 2004.

2. United States Census Bureau. Population Division. http://eire.census.gov/popest/data/c ounties/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-ALAP CO-EPA Emission Inventory Improvement Progr am (EIIP). Volume III - Area Sources Preferred and

Alternative Methods. November 1996.

7. Documentation for the Dr aft 1999 National Emissions In ventory (Version 3.0) for
Criteria Air Pollutants and Amm onia. Area Sources. E. H. Pechan & Associates, Inc. March 3, 2003

## 14 8. U.S. Environmental Pr otection Agency, STAPPA-ALAPC O-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 Asse lmeier, Air Quality Planning Section, Inventory Group, Springfield, Illinois.

10. Environmental Protection Agen cy (EPA). STAPPA-ALAPCO-EPA Emission Inventory Improvement Progr am (EIIP). Volume III - Area Sources Preferred and Alternative Methods. May 1997.

11. (Environmental Chemistr y.com) viewed on Feb 8th, 2007. [http://environmentalchemistry.com/yogi /environmental/200602out doorwoodfurnaces.ht ml]

12. (Washington State, Department of Ecology) viewed on Feb 8th, 2007 [http://www.ecy.wa.gov/progr ams/air/AOP_Permits/Boiler/Outdoor_Boilers_home.html]

13. U.S. Environmental Protection Agen cy. 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 E nergy Price and Expenditure Estimates, 1970-2001, Ohio. Energy Information Administration. U. S. Department of Energy. http://www.eia.doe.gov/emeu/st ates/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 In ventory (Version 3.0) For
Criteria Air Pollutants and Amm onia. Area Sources. E. H. Pechan & Associates, Inc. March 3, 2003

17. Ohio Department of Health, Vital Statistics

18. Environmental Protection Agency. STAPPA-ALAPCO-EPA Em ission 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 gener ated regionally by running U. S. EPA’s Nati onal Mobile Inventory Model (NMIM) model. The Wi sconsin 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 process ed the NMIM files in their emissions model and generat ed 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 toestimate emissions for all other non-road mobile categories. NMIM consolidates nonroad mobile emissions and on-road emissions modeling into a singl e 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 populati ons, average load factors, available engine powers, activity hours and emission factors. Before NMIM was run, modifications and additions

were made to the NM IM input data.

a. Added emission factors for diesel ta mpers/rammers provided by E.H. Pechan & Associates, Inc. Diesel tampers/rammers are a type of construction equipment.

b. Revised PM 2.5 

## ratios in SCC table to correctly calculate PM 2



## . 5 

## diesel

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

NMIM2004.

c. Revised gasoline parameter s using updates provi ded by the states and E.H. Pechan & Associates, Inc. Ga soline 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/inv 2005/nonroad/NMIM/B ase_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-p ropelled or portable emi tter of air pollutants, and mobile source emissions are those genera ted by the engines or motors that power such sources. Most mobile sources, exce pt jet or turboprop ai rcraft, are powered by internal combustion (IC) piston engines, and nearly all use liquid fuels.

Gaseous fuels, such as compressed natur al gas (CNG) or li quefied 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 pur poses, mobile sources ar e 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 pa ssengers 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 motoriz ed machines or equipment not used for transportation, ranging from constructi on equipment and farm tractors to lawnmowers and hand-held power weed choppers.

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

Non-road Mobile Sources: Some non-road mobile source s (e.g., farm tractors), are self-propelled, but many non-road sources ar e not. A gasoline-powe red chain saw is a familiar example of a non-self-pr opelled non-road mobile source.

Stationary Sources: Not all movable or portable emi ssion 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 pow er pipeline compressors or standby generators in electricity plants and elsewhere, are al so classified as stationary sources.

4.1.1 Categories and Componen ts 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 occu r only when the engine is running.

Evaporative emissions: Are Volatile Organic Compound (VOC) based only and are continuously emitted from an engine’s fuel syst em, 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 je t 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 emission s 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 emissi ons are entirely VOC. Alth ough they result from the evaporation of fuel, they ar e distinct from, and not dire ctly 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 stor age 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), Unit ed States Environmental Protection Agency (USEPA), and the Ohio EPA (OEPA). Estimates of the amounts of NOx and VO C are reported by county in tons per day. Emissions are repor ted 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 es timates hydrocarbon (HC), carbon monoxide (CO), oxides of nitrogen (NO
x 

## ), exhaust particulate matter (which consists of several components), tire wear particula te matter, brake wear particu late matter, sulfur dioxide (SO 2 

## ), ammonia (NH 3 

## ), six hazardous air pollutant (HAP), and carbon dioxide (CO 2 

## ) emission factors for gasoline-f ueled and diesel highway moto r 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 affe cting vehicle emissions can be specified by the user.
MOBILE6 will estimate emission factors fo r any calendar year between 1952 and 2050,
inclusive. Vehicles from the 25 most re cent 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 ti mes of day, in which fleet or traffic conditions vary considerably.

A list of MOBILE6 input parameters is provi ded 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 va por 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 vehi cle 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 specific ations and selections

4.2.4 MOBILE6 References

The following publications prov ide much of the guidance fo r 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 vers ion is still the definitive document on

## 21 inventories. If a previous edition is referr ed to, the fact will be not ed 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 em ission 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 publis hed by Assessment & Modeling Division (AMD) of the National Vehicle & Fuels Em issions Laboratory (NVFEL) in Ann Arbor, Michigan. The NVFEL is part of USE PA 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 pr imary 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 Mar go Oge, Director of OTAQ, to Regional Air Division

Directors.

4.3 Ohio’s Alternate Data for MOBILE6
Alternative data is state-specif ic data that is used in the M obile6 runs. Using local data is preferred to using the default data in Mobi le6. Efforts are made to collect as much local data as possible.

4.3.1 Vehicle Registra tion Distribution by Age

Overview:

The vehicle age distribution determines the fr action 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 esti mates of a distribution of r egistered 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 t he July 1, 1996 registration profile into a general registration distribut ion by age and by vehicle ca tegory 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-dut y vehicle in-use fleet, and made minor adjustments, where possible, to reflect some of the differences between vehicle categories.

Description: The MOBILE6 model requires estima tes of a distribution of registered vehicles by age and vehicle category for curr ent 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 Dir ectors Consortium (LADCO) to develop these inputs. LADCO then contracted with a subcontractor to breakout the age

distribution data from the Vehicle Identification Num bers (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 invent ory. This will be corrected in the next inventory (2008).

Method Applicability: This approach is most applic able in areas where there are significant differences in the local vehicle fleet age distribution rela tive 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 stat e 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 t he national default.

• Requires minimal additional resources, par ticularly if data is readily available at the county or local level fr om the State departm ent 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 Pl anning Organizations (MPOs), the Ohio Department of Transportation (ODOT) provi ded 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 t he state and MPOs to fo recast traffic for a variety of reasons, undergo rigorous calibrati on and validation checks, and are sensitive to roadway capacity/travel time improvement s, 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 countie s where it is not used directly it is used for making rough emissions estimates where model s do not exist or where time prohibits the use of TDMs. DVMT is a simple mechan ism to measure how much traffic is flowing along a roadway during an average 24 hour peri od. 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 usin g the State of Ohio, Department of Transportation’s Roadway Information F iles 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 prov ides a very accurate estimate of statewide total DVMT for The State Highway S ystem (Interstate, US and State Routes). County total DVMT are consistent and cons idered 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 Func tional 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/te chservsite/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, deriv ed 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-sampl ed, 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 segm ents from one functional class to another.

The Ohio Department of Transportation therefore does not warr ant 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 perform ed by the Ohio Metropolitan Planning Organizations (MPOs) and ODOT for a multit ude of purposes including the preparation of regional emissions estimate s. The ODOT Office of Te chnical Services’ Modeling & Forecasting Section recommends that Ohio ’s TDMs and ODOT’s conformity analysis methods be used to establish the roadway mob ile 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 LADC O. 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 networ ks. Additional post processing data was provided including but not lim ited to metadata describing the loaded networks, Hourly distribution by functional cla ss, speed profiles, day of week / weekend / monthly car and truck traffic profiles, 2009 & 2018 VMT RPO data sets, state wide VMT growth rates for local traffic, and a 2005 VMT summary comparison spreadsheet. It should be noted that among other things, the loaded TDM Netw orks contain distance and daily volumes

from which VMT is computed.

Network volumes are post processed to esti mate VMT by hour of day. The hourly volumes and capacity, posted speed limi t, and type of roadway for each roadway segment are then used to estimate aver age hourly speeds needed for MOBILE6 based

emissions estimates. Modelin g 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 relati ve emissions affect of improvements to individual roadways as well as packages of improvements and the entire set of planned roadway improvement projec ts air quality impacts of construction programs.

## 26 4.3.4 Speed Di stribution 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 c onducted 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 s peeds for use with MOBILE6 for development of CERR, ODOT provided a set of speeds based on that statewide travel time study. Those speeds are doc umented in a technical memorandum titled “Estimation of Average Speed by Func tional Class for MOBILE6 Runs” dated
5/27/2004. Readers should refer to those docum ents 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 U se with County Level DVMT, HPMS:

The memo states that the s peeds which the Ohio Department of Transportation (ODOT) had been using prior to that date, 2004, fo r air quality analysis estimates based on County DVMT summaries, were developed by a former ODOT employee for addressing the one (1) hour standards conformity ru les 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 esti mated. In addition, EPA has requirements for using latest planning assumptions for ai r quality conformity analyses. Therefore,
ODOT believed that it was in the state’s best interest to use the mo st recent available data to provide a new set of estimated av erage 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 dat a obtained from traf fic 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 FC 0

6
F C0 8
F C1 1 FC1 4 FC1 7



## Functional ClassSpeed Average Speed

1990 Analysis Speeds

2001 Speed Study



# Speeds Comparison

0 20 40 60 80 100

FC 0

1 FC 06
F C08
F C11 FC14 FC 1

7

R

AMPS



## Functional ClassSpeed 

## 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 Esti mation 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 bet ween 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 expec ted that these average statewide speeds are higher than the average speeds in t he non-attainment areas because the non-

## 28 attainment counties tend to be more popul ated and more congested. The document “Highway Vehicle Speed Es timation Procedures For Use in Emission Inventories”, September 1991 by Earl Ruiter of Cambridge Systematics Inc. is referenced by EPA’s documented procedures for emission inventor y preparation. This document suggests post processing travel demand model traffic assignment results to estimate average speeds.

Final space mean speeds that ODOT provi ded 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 s pace mean speed based average speed estimates were reproducible and defensib le since they are well docu mented 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 anal ysis 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 budget s. Therefore, ODOT pr ovided 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 Cod es & 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 curv e parameters for the equation

T = T 0 

## {1 + a * (V/C)^b]

## 30 More complete details about emissions mode ling process employed by ODOT may be
found in ODOT documentations. The docum ent titled “Congestion Management & Air Quality Analysis (CMAQ) Program Docu mentation” 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 s upplied 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.s tate.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 developi ng the Ohio 2007 8-Hour Ozone SIP Attainment Demonstrations. See meeting agen da below. OEPA is working to ward a June 15, 2006 schedule for submitting the 2002 invent ories to US EPA.

A key component of the meeting will be to review a nd confirm the MOBILE6.2 i nput parameters, by Ohio a/q area, for use in developing the 2002 mobile inve ntories. See draft templa te below. The Ohio MPO travel demand models will be used to generate t he 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 cu rrent 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 Regulati ons 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 Regulati ons 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 Regulati ons 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) fo r regional haze, fine particles , and ozone. Emissions for on-road motor vehicles are estimated using vehi cle miles traveled, tr ip starts and ends, speed, and other activity data developed by State Agencies and Metropolitan Planning Organizations (MPOs) using transportati on demand models (TDMs), and emission
factors from EPA's MOBILE6 model. To s upport 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-le vel activity data in a uniform format for input to the CONCEPT emissions processing model (a new emissions processing model also developed wit h funding from LADCO). In a parallel effort, analyses of extensive automatic tra ffic recorder (ATR) dat a collected by State DOTs were conducted to develop temporal profiles (hour of day , day of week, and month of year) of vehicle counts and vehicl e mix by roadway type for developing the

detailed on-road emissi on inventories.

T3 provides a conduit from the projections of traffic demand model ers 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 simult aneously providing a great degree of flexibility in representing t he TDM projections in terms acceptable to most air quality models. These goal s have been achieved through the use of a dimensional transformation approach, w here 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, Su ite 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 Emi ssions Modeling Community:

The new CONCEPT (CONsolidated Communi ty 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 syste ms into an open source model highlighting the following features:

• Open Source. Writt en primarily in PostgreSQL, th e software required for running

## 39 CONCEPT is in the public dom ain. 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 structur e 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 an d 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 calculat ion procedures and assumptions for any emissions value.

The CONCEPT model includes modules for the major emissions source categories: area source, point source, on-ro ad motor vehicles, non-road motor vehicles and biogenic emissions, as well as a num ber of supporting modules, including spatial allocation factor development, speciation pr ofile development, growth and control for point and area sources, and CEM point source emissions handling. The emissions modeling community has alr eady begun development of addi tional CONCEPT support modules including CEM preprocessing software, graphical QA tools, and an interface to

the traffic demand models for on-road mo tor 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 Av enue # 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

T otals (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 COLUMB

US 1 1 1 1 1 1 1 1 1

OH SPRING

FLD SPRING

FLD OH OH SPRING

FLD 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 YNGSTO

WN 1 1 1 1 1 1 1 1 1

OH STATEW

D STATEW

D OH OH STATEW

D 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 Ta ble 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 sour ces which are significant enoug h 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 Environ 1 

## under contract with LADCO and the aircraft inventory is generated by Ohio EPA.

5.1 Marine Vessel Sources

The approach to commercial marine emi ssion estimates needed to be flexible because the activity data was available in many fo rmats. Emission esti mates were determined either by multiplying engine power, load factor, hours per ye ar of operation, or on the basis of the number of gall ons 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 methodologie s employed, inventory tables for the ten subcategories are detailed in the complete inventory prepared and published by
ENVIRON Internati onal Corporation: LADCO 2005 COMMERCIAL MARINE
EMISSIONS , by Christian E. Li ndhjem, 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 em issions 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 larges t 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, O ffice of Mobile Sources, April. And EPA 1997, Emission Factors for

Locomotives," Environmental Protecti on 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 fact or. 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 t hen compiled as tons per year per pollutant by county. The following de scribes the components, met hodology, and concludes with a description of an Access based aircraft emission calculator.

COMPONENTS:

I. Ohio Airports: A list of both towered and non-towered airpor ts 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 16 4 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 deriv ed 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 Stat e 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-W arren 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 t he larger airports) is obtained from “Table 7” provided by the United States Departm ent 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” departure s were used as the number of LTOs per year for that model. Listed in the original table are airc raft 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 ai r quality at civilian airports and military air bases. The model was developed by the Federal Aviation Administration (FAA) in cooperation with the Unit ed States Air Force (USAF). The model is used to produce an inventory of emissions generated by source s 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 emissi on factors were taken from “Documentation for Aircraft, Commercial Marine Vessel, ,Locomotive, and Other Non-road Components of the National Emissions Inventory. 2005, s ee 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 Emissi on Factor Categories

Fleet emission factors were br oken down into three categories. Itinerant General, Local General, and Military.

Table 5-3a Fleet Average Emission Factor s 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 Factor s 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 Fa ctors 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 ai rcraft air carrier activity and commercial air freight activity by aircraft model types,

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

3. Military annual local and iti nerant operations for year 2005.

Due to the need to have aircraft operations in formation expressed as landing/take off (LTO) cycles, the following assumptions were made:

1. For commercial aircraft and commercial ai r freight activity, t he number of annual aircraft annual LTO cycles was assu med 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 iti nerant airport operations, each respective operations total was divided by 2 to obt ain 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 operat ions, each respective operations total was divided by 2 to obtain the correspondi ng year local and itinerant LTO cycles. The expected military daily local and iti nerant LTO cycles then were obtained by dividing these annual totals by 365.

Airport LTO cycles were further categoriz ed 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 Av iation Administration EDMS Emissions and Dispersion Modeling System . Commercial and air freight aircraft emission factors per LTO cycle were det ermined 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 alter native 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 fr om the Ohio Department of Transportation. These were classed by airport, county, aircraft flight classification, and the total number of op erations per year.

2. The number of operations (a landing or a take off) we re 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 categorie s used by the USEPA in calculating

emissions.

## 54 Itinerant (General, air carrier, commuter, ai r taxi, general aviation itinerant)

Local (General aviation local)

Military (Military)

4. LTOs for specific models of aircraft per airport were ta ken from the FAA Table 7.
See Table 2 above. These were then combined to gi ve 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 det ermined from the FAA’s EDMS pr ogram 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 fl own in Ohio. . Where specific aircraft model data was not available USEPA average fleet emissions

were used.

6. Emission factors times LTOs by count y yielded tons per y ear 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 pollut ants 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 func tion in Access that picked up the number of operations as
instead of LTOs....which made the in ventory exactly twice as lar ge as what it really was.

ACCESS CALCULATOR

Introduction:

Our database programmer set up Access applic ation 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 futu re data scenarios. Ou tput 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 emissi ons, state/county FIPS, detailed aircraft information, airport informati on, and aircraft SCCs. Once the final emissions have been calculated and summed, then the data can be expo rt via the export function on the Main

Menu

.

# Appendix C1

PM 2.5 On

- road Emission Documentation using MOVES

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### Transportation Air Quality Analysis And Technical Do cumentation Parkersburg-Marietta, WV-OH For the U.S.
EPA 1997 Annual PM2.5 NAAQS 

### 8/11/11 2 TABLE OF CONTENTS Introduction ...................................................................................................................... ........ Page 3 On Road Mobile Emission Summary ......................................................................................... Page 4 Latest Planning Assumptions ....................................................................................... ........... .. Page 6 Land Use Data.................................................................................................................. Page 6 Travel Modeling.....................

.......................................................................................... .... Page 7

Emission Factor Generation .................................................................................................... .. Page 8 Temperature and Relative Humidity .......................................................................................... Pa ge 9 Ramp Fraction .............................................................................................................. .. .......... Page 11 Source Type Population ........................................................................................................ ..... Page 11 Vehicle Age Distribution ...................................................................................................... ..... Page 12 Road Type Distribution......................................................................................................... ...... Page 13 Post Processing ...............

........................ ........................................................................ ........... Page 14

Appendix A – Interagency C onsultation Documentation

LIST OF TABLES Table 1 WWW Region On-Road Mobile Emissions by State and County (2005 & 2008)............. Page 4 Table 2 WWW Region On-Road Mobile Emissions by State and County (2015 & 2022)............ Page 5 Table 3 WWW Region Land Use Data Used for Tr affic Forecasting..................

........................ . Page 6 Table 4 MOVES Inputs ................................................................................................................ Page 8 Table 5 Average Temperature a nd Relative Humidity Data .......................................................... Page 10 Table 6 Source Type Population for Year 2005 ............................................................................ Page 11 Table 7 Vehicle Age Distribution for Washingt on County, OH (2005)......................................... Page 12 Table 8 Road Type Distribution for WWW Region ................................................................ Page 13

LIST OF FIGURES Figure 1 Non-Attainment Area Boundary............................................................................ Page 3 Figure 2 Geographic Area Covered by Travel Demand Model and Traffic Zone Structure.............. Page 7 Figure 3 Wood County Temperature Pr ofile .................................................................... Page 10

SELECTED ABBREVIATIONS & ACRONYMS DOT – Department of Transportation EPA – Environmental Protection Agency FHWA – Federal Highway Administration; FTA – Federal Transit Administration; LRTP – Long Range Transportation Plan MOBILE6 – Mobile Source Emission Factor Model MOU – Memorandum of Understanding MP O – Metropolitan Planning Organization MVEB – Motor Vehicle Emissions Budget NAAQS – National Ambient Air Quality Standard NOx – Nitrogen Oxides

PM2.5 - Particulate Matter with an aerodynamic diameter less than 2.5 microns (often referred to as Fine Particulate Matter)

PM10 – Particulate Matter with an aerodynamic diameter less than 10 microns

SIP – State Implementation Plan TIP – Transportation Improvement Program TAZs – Traffic Analysis Zones TCM – Transportation Control Measure TDM – Travel Demand Model TIP – Transportation Improvement Program VMT – Vehicle Miles of Travel VOC – Volatile Organic Compounds

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### Transportation Air Quality Analysis And Technical Do cumentation Parkersburg-Marietta, WV-OH For the U.S.
EPA 1997 Annual PM2.5 NAAQS 

### 8/11/11 8 matched HPMS estimates of VMT within 1% in the mode l base year of 2005. (Home-based work trips were separately constrained to a target av erage value based on the 2000 Census.)

The modeling software program utilizes hourly saturation fl ow rates that are calculated based on road inventory data, roadway type, and the 2000 version of the Highway Capacity Manual (HCM). Coded speeds by street segment are a function of road type and posted speed limit s and are based on the Ohio statewide travel time study conducted in 2000 (available on the web at http://www.dot.state.oh.us/urban /data/statewid/report.doc ) using the “run time” version of speeds without intersection delays . The model software program internally estimates additional travel times for vehicles that stop for traffic control (stop signs and red lights) based on HCM methods and modeled traffic patterns. The traffic assignme nt RMS (root mean square) error meets FHWA/ODOT standards for all specified volume groups. Modele d VMT for 2005 was roughly 2% different than HPMS estimated VMT both overall and for freeways. Modeled travel times on arterial streets also match quite closely

the results of WWW’s travel time field studies.

The interagency consultation process, as previously discussed, established the following model years for Wood county, WV and Washington County, OH that reflect ed the most recent corresp ondence from the U.S. EPA:

Analysis Year 2005 – Baseline Emissions Analysis Year 2008 – Attainment Year Analysis Year 2015 – Interim Year Analysis Year 2022 – Maintenance Year

EMISSION FACTOR GENERATION The MOVES model generated the emission factor files were for base year-2005 and attainment year-2008 representing the transportation improvement programs implemented in the WWW Region. The model also generated emission factors for two future year scenarios 2015 and 2022. Table 4 summarizes the settings used in the MOVES run specification file and the MOVES County-Data Manager. The subsequent tables provide the specific inputs that are not using the MOVES default values.



## Table 4 – MOVES Inputs
RunSpec Parameter Settings

MOVES Version 2010/08/26

Scale Custom Domain MOVES Modeling Technique Emission Factor Method Rates per Distance, Rates per Vehicle Time Span Time Aggregation: Hour 1 Month representing average annual temperatures All hours of day selected 16 speed bins, Weekdays only Geographic Bounds Washington OH, Wood WV, Pleasant WV counties Vehicles/Equipment All source types, gasoline and diesel Road Type All road types including off-network

Pollutants and Processes NO

x 

## , All PM 2.5 

## categories, SO 2 

## , Total Energy Consumption Strategies None General Output Units = grams, joules and miles Output Emissions Time = hour, Location = cu stom area, on-road emission rates by road type and source use type.

### Transportation Air Quality Analysis And Technical Do cumentation Parkersburg-Marietta, WV-OH For the U.S.
EPA 1997 Annual PM2.5 NAAQS 

### 8/11/11 9 

## County Data Manager Sources
Source Type Population Combinatio n of local and default data Local data (Ohio and West Virginia ) from motor vehicle registration Default data used for source types 51, 52, 53, 61, and 62 Future year growth rate based on MPO model Household growth rate. Vehicle Type VMT Combination of local and default data HPMSVTypeYear VMT = daily VMT from travel demand model

monthVMTFraction = default dayVMTFraction=default

hourVMTFraction=local I/M Program None

Fuel Formulation Default Fuel Supply Default Meteorology Data Local data obtained from NOAA National Climatic Data Center. Data will consist of monthly high and low temperatures and daily relative humidity for 2002. Ramp Fraction Using the base year tr avel demand model for VHT fractions. Road Type Distribution Use ODOT and WV Division of Highways county summary VMT categorized by federal functional classes Age Distribution Combination of local and default data. Local data (Ohio and West Virginia ) from motor vehicle registration Default data used for source types 41, 42, 43, 51, 52, 53, 61, and 62 The same age distribution will be used for all analysis years Average Speed Distribution Default Alternative Fuel Type Default

TEMPERATURE AND RELATIVE HUMIDITY The single season approach for temperature and relative humidity uses weather data collected by the National Oceanic and Atmospheric Administration (NOAA) National Clim atic Data Center (NCDC). The data used in this report, taken from the Parkersburg/Wood County Airport, is representative of 12 mont hs in 2009. Data entered into a spreadsheet provided by U.S. EPA converted the Mobile6 to get the correct data for the MOVES model. Table 5 below contains the average annual hourly temperat ures and relative humidity distribution profiles used for the WWW region, while Figure X depicts the typical minimum and maximum temperatures by month of year.

### T

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### 8 /11/11 T able 5

A VERAGE T

Time of Da y

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### Transportation Air Quality Analysis And Technical Do cumentation Parkersburg-Marietta, WV-OH For the U.S.
EPA 1997 Annual PM2.5 NAAQS 

### 8/11/11 11 RAMP FRACTION The Vehicles Hour of Travel (VHT) fractions from the travel demand model were used to derive the Ramp Fraction values needed for the MOVES model procedures (approximately 16.1% in Washington county Ohio and 12.5% in Wood county West Virginia).

SOURCE TYPE POPULATION

A combination of local and MOVES default data is th e Source Type Population for vehicle classifications. The MOVES default values provided the data for vehicle Source Types 51, 52, 53, 61, and 62 while local data from Ohio and West Virginia motor vehicle registrations acc ounted for all other Source Type Populations needed to run the MOVES model. Table 6 shows the Source Type Population identifications, the corresponding Source Type Name, and the number of vehicles analyzed for Washington County, OH and Wood County, WV. Analysis of the Grant Tax District in Pleasants County WV used the same distribution by source type as Wood County, scaled to Census data of total vehicle ownership within the district.

Table 6

SOURCE TYPE POPULATION FOR YEAR 2005

year Source Type Washington Co OH # Wood Co WV #

2005 11 MotorCycle 4668 2260

2005 21 Passenger Car 42583 31331

2005 31 Passenger Truck 21741 30775

2005 32 Light Commercial Truck 465 4917

2005 41 Intercity Bus 44 33

2005 42 Transit Bus 3 18

2005 43 School Bus 123 137

2005 51 Refuse truck 25 30

2005 52 Single Unit Short

‐ haul Truck 8 1774

2005 53 Single Unit Long

‐ haul Truck 98 202

2005 54 Motor Home 122 129

2005 61 Combination Short

‐ haul Truck 472 575

2005 62 Combination Long

‐ haul Truck 1183 638

### Transportation Air Quality Analysis And Technical Do cumentation Parkersburg-Marietta, WV-OH For the U.S.
EPA 1997 Annual PM2.5 NAAQS 

### 8/11/11 12 VEHICLE AGE DISTRIBUTION A grouping of data from Ohio and West Virginia s ources along with the MOVES model defaults make up the Vehicle Age Distribution. MOVES default values included Vehicle Type ID 41, 42, 51, 52, 53, 61, and 62. Local data from Ohio and West Virginia motor vehicle registrations accounted for all other Vehicle Type ID. Table 7 shows a sample Vehicle Age Distribution By Source Type for Washington County, OH in 2005.

Table 7

VEHICLE AGE DISTRIBUTION BY SOURCE TYPE FOR WASHINGT ON COUNTY, OHIO IN 2005

yearid ageid 11 21 31 32 41 42 43 51 52 53 54 61 62

2005 0 0.0021 0.0048 0.0045 0.00 43 0.0000 0.0000 0.0484 0.0000 0. 0000 0.0000 0.0060 0.0018 0.0000

2005 1 0.0255 0.0178 0.0189 0.01 71 0.0000 0.0000 0.0403 0.2500 0. 2500 0.2500 0.0276 0.0093 0.0319

2005 2 0.0577 0.0266 0.0349 0.03 21 0.0000 0.0000 0.0565 0.0000 0. 0000 0.0000 0.0272 0.0220 0.0361

2005 3 0.0849 0.0336 0.0451 0.05 34 0.0667 0.0000 0.0645 0.0000 0. 0000 0.0000 0.0388 0.0288 0.0806

2005 4 0.0828 0.0367 0.0528 0.05 13 0.0000 0.0000 0.0323 0.0000 0. 0000 0.0000 0.0392 0.0319 0.0865

2005 5 0.0862 0.0409 0.0648 0.03 63 0.1333 0.0000 0.0806 0.0000 0. 0000 0.0000 0.0444 0.0384 0.0949

2005 6 0.0638 0.0391 0.0643 0.02 78 0.0667 0.0000 0.0565 0.0000 0. 0000 0.0000 0.0568 0.0419 0.0537

2005 7 0.0777 0.0434 0.0620 0.05 56 0.2667 0.3333 0.0806 0.0000 0. 0000 0.0000 0.0504 0.0420 0.0353

2005 8 0.0594 0.0545 0.0658 0.02 35 0.0667 0.0000 0.1129 0.0000 0. 0000 0.0000 0.0404 0.0417 0.0428

2005 9 0.0500 0.0543 0.0606 0.03 21 0.0000 0.0000 0.0887 0.0000 0. 0000 0.0000 0.0352 0.0474 0.0537

2005 10 0.0406 0.0644 0.0651 0.06 41 0.0000 0.0000 0.0726 0.1250 0. 1250 0.1250 0.0380 0.0570 0.0789

2005 11 0.0336 0.0639 0.0626 0.04 06 0.1333 0.6667 0.0161 0.0000 0. 0000 0.0000 0.0548 0.0554 0.0621

2005 12 0.0236 0.0590 0.0566 0.02 35 0.1333 0.0000 0.0806 0.1250 0. 1250 0.1250 0.0348 0.0459 0.0512

2005 13 0.0217 0.0547 0.0498 0.04 70 0.0000 0.0000 0.0484 0.0000 0. 0000 0.0000 0.0348 0.0504 0.0260

2005 14 0.0206 0.0519 0.0477 0.04 49 0.0000 0.0000 0.0081 0.1250 0. 1250 0.1250 0.0312 0.0390 0.0411

2005 15 0.0177 0.0568 0.0479 0.06 20 0.0000 0.0000 0.0000 0.0000 0. 0000 0.0000 0.0272 0.0465 0.0386

2005 16 0.0121 0.0456 0.0439 0.08 33 0.0000 0.0000 0.0000 0.0000 0. 0000 0.0000 0.0244 0.0505 0.0311

2005 17 0.0160 0.0426 0.0319 0.03 42 0.0000 0.0000 0.0081 0.1250 0. 1250 0.1250 0.0224 0.0402 0.0260

2005 18 0.0092 0.0361 0.0235 0.02 99 0.0000 0.0000 0.0000 0.0000 0. 0000 0.0000 0.0236 0.0381 0.0235

2005 19 0.0092 0.0326 0.0194 0.03 21 0.0000 0.0000 0.0242 0.0000 0. 0000 0.0000 0.0168 0.0337 0.0109

2005 20 0.0094 0.0238 0.0144 0.04 06 0.0000 0.0000 0.0161 0.0000 0. 0000 0.0000 0.0196 0.0279 0.0067

2005 21 0.0077 0.0213 0.0145 0.02 56 0.0000 0.0000 0.0000 0.0000 0. 0000 0.0000 0.0196 0.0332 0.0168

2005 22 0.0085 0.0150 0.0111 0.04 49 0.0000 0.0000 0.0161 0.0000 0. 0000 0.0000 0.0272 0.0326 0.0151

2005 23 0.0104 0.0117 0.0104 0.01 92 0.0000 0.0000 0.0081 0.0000 0. 0000 0.0000 0.0244 0.0237 0.0168

2005 24 0.0213 0.0088 0.0077 0.02 14 0.0667 0.0000 0.0081 0.0000 0. 0000 0.0000 0.0176 0.0231 0.0042

2005 25 0.0177 0.0068 0.0050 0.01 28 0.0000 0.0000 0.0081 0.0000 0. 0000 0.0000 0.0216 0.0167 0.0092

2005 26 0.0134 0.0049 0.0030 0.01 07 0.0666 0.0000 0.0000 0.0000 0. 0000 0.0000 0.0176 0.0125 0.0059

2005 27 0.0168 0.0027 0.0024 0.00 85 0.0000 0.0000 0.0081 0.0000 0. 0000 0.0000 0.0176 0.0084 0.0008

2005 28 0.0213 0.0017 0.0007 0.00 43 0.0000 0.0000 0.0000 0.0000 0. 0000 0.0000 0.0088 0.0064 0.0034

2005 29 0.0196 0.0020 0.0007 0.00 00 0.0000 0.0000 0.0000 0.0000 0. 0000 0.0000 0.0108 0.0054 0.0025

2005 30 0.0595 0.0420 0.0080 0.01 69 0.0000 0.0000 0.0160 0.2500 0. 2500 0.2500 0.1412 0.0482 0.0137

### Transportation Air Quality Analysis And Technical Do cumentation Parkersburg-Marietta, WV-OH For the U.S.
EPA 1997 Annual PM2.5 NAAQS 

### 8/11/11 13 ROAD TYPE DISTRIBUTION The ODOT and WV Division of Highway county summary Vehicle Miles Traveled (VMT) data categorized by

federal functional class for the three count y non-attainment areas is the basis for Road Type Distribution Fraction. Table 8 illustrates Road Type Distribution.

Table 8

ROAD TYPE DISTRIBUTION FOR THE WWW REGION

sourceTypeID roadTypeID roadTypeVMTFraction sourceTypeID roadTypeID roadTypeVMTFraction

11 1 0 51 1 0

11 2 0.33 51 2 0.33

11 3 0.34 51 3 0.34

11 4 0.08 51 4 0.08

11 5 0.25 51 5 0.25

21 1 0 52 1 0

21 2 0.33 52 2 0.33

21 3 0.34 52 3 0.34

21 4 0.08 52 4 0.08

21 5 0.25 52 5 0.25

31 1 0 53 1 0

31 2 0.33 53 2 0.33

31 3 0.34 53 3 0.34

31 4 0.08 53 4 0.08

31 5 0.25 53 5 0.25

32 1 0 54 1 0

32 2 0.33 54 2 0.33

32 3 0.34 54 3 0.34

32 4 0.08 54 4 0.08

32 5 0.25 54 5 0.25

41 1 0 61 1 0

41 2 0.33 61 2 0.33

41 3 0.34 61 3 0.34

41 4 0.08 61 4 0.08

41 5 0.25 61 5 0.25

42 1 0 62 1 0

42 2 0.33 62 2 0.33

42 3 0.34 62 3 0.34

42 4 0.08 62 4 0.08

42 5 0.25 62 5 0.25

43 1 0 roadTypeID roadDesc

43 2 0.33 2 Rural Restricted

Access

43 3 0.34 3 Rural Unrestricted

Access

43 4 0.08 4 Urban Restricted

Access

43 5 0.25 5 Urban Unrestricted

Access

### Transportation Air Quality Analysis And Technical Do cumentation Parkersburg-Marietta, WV-OH For the U.S.
EPA 1997 Annual PM2.5 NAAQS 

### 8/11/11 14 POST PROCESSING

Several custom programs created by ODOT staff were used to compute the total emissions. The process uses data on daily and directional traffic distributions as well as volume/delay functions from the 2000 Highway Capacity Manual (HCM). This process also uses rewritten code focused on newer CUBE Voyager-based model network formats and MOVES generated emission factors.

The first step in the process involves running postcms .exe to calculate hourly link volumes based on the percentage of the daily volume (travel demand model outpu t) determined by a link’s facility and area type. The analysis does not use the link speeds from the travel dema nd model. Using a link’s volume-to- capacity ratio and link group code, a post-process to the model based on HCM methods estimates the link speeds. The second step (mmoves.exe) uses a combination of the MOVES emission factors and the hourly link volumes that are output of the postcms.exe program. The hourly volumes multiplied by the MOVES emission factor for the corresponding hour of day, speed bin, and road type; calculate emissions for every network link for each hour. The final link on

road vehicle emissions for the area is the sum of all indi vidual link-hour emissions. The third step, (vehcalm.exe), calculates vehicle-based emissions for each source type for each hour of the day. A combination of local and default data is the source for the vehicle source type. The final vehicle emissions for each county are the sum of all individual hourly emissions for all vehicle types. Sin ce the intrazonal trips are not loaded onto the network, the fourth step in the process requires a separate method to account for those trips that use lo cal roads to travel within a zone. The intracalm.exe program uses intrazonal trips to estimate VMT using the area in square miles and intrazonal trips of each zone. The computer program assumes that the zone is circular and uses the radius of the circle as the average trip length for these intrazonal trips. By combining MOVES generated emissions with
estimated intrazonal VMT, the intrazonal emissions are then calculated. The emission rates are the same as those used to calculate link based emissions. The final step is to summarize link, vehicle, and intrazonal emissions for each county, pollutant, and analyzed year.

More details are provided at http://www.dot.state.oh.us/Divisions/Planning/ SPR/ModelForecastingUnit/Documents/cmaqr3.PDF

### Transportation Air Quality Analysis And Technical Do cumentation Parkersburg-Marietta, WV-OH For the U.S.
EPA 1997 Annual PM2.5 NAAQS 

### 8/11/11 15 APPENDIX A

INTERAGENCY CONSULTATION DOCUMENTATION

# Appendix D1

LADCO TSD Version IV
April 25, 2008

# Regional Air Quality Analyses for

Ozone, PM 2. 5 

# , and Regional Haze:

F inal Technical Support Document

April 25 , 2008

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

# Appendix D2

L ADCO T SD (Supplement )
September 12, 2008

### 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 Dir ectors Consorti um (LADCO) to address the effect of the recent court decision

vacat ing EPA’s Clean Air Interstate Rule (CAIR). This new modeling is intended to supplem ent 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 Illinoi s, 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 n onattainment of the 0.075 ppm standard through at least 2018.

PM2.5 : Widespread nonattainment of annual (15 ug/m 3 

### ) and daily (35 ug/m 3 

### ) 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 v acated 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 prev ious 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 IP M).

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 an d haze : F ull 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 E GU scenarios were prepared:

### 2

Scenario A: 2007 CEM

- based emissions w ere 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 w as applied. The annual

emissions w ere temporalized based on profiles derived from 2004

- 2006 CEM data. (Note, these are the same temporal prof iles used in R ound 5.1 .)

Scenario B. Scenario A emissions for the LADCO States and select neighboring states (e.g., MN, IA, MO, KY, TN, and WV) w ere 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 w ere applied. The States also supplied the appropriate control factors. A table summarizing the Scenario B con trols is provided in Appendix I.

Sc enario C. For the years 2009 and 2012, Scenario A emissions for all states w ere adjusted by applying all planned SO2 and NOx controls based on the July 10 CAMD list (i.e., 9 0 % reduction for scrubbers, 9 5 % 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 w ere assumed for all

BART

- eligible EGUs in the five LADCO State plus MN, IA, MO, KY, TN, and MO list (i.e., 9 0 % reduction for scrubbers, 9 5 % reduction for SCRs )

. 1 

### A ll Scenario B controls we re 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. (No te, 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 ll ittle difference between the three alternative scenarios and CAIR . T his suggests that summer ozone concen trations for the alternative scenarios are likely to be similar to those predicted with CAIR (i.e., Round 5.1).
Annual NOx:

• There is a s ignificant 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 em issions decrease.
Annual SO2

• There is a s ignificant change in emissions between scenarios

.

• Scenario B reflects application of SO2 controls in several states (e.g., I L,OH, WI).

• Because there are several FGD s (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 t he 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 chan ges, 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

Summe r NO x Emi ss ions

0 500 1,000 1,500 2,000 2,500 3,000

2005 2007 200

9A 200 9B 200 9C 200 9 C AIR 201 2A 201 2B 201 2C

201 2 C AIR 201 8A 201 8B 201 8C

201 8BART 201 8 C AIR



### Annu al NO x Emi ss ions

0 200,000 400,000 600,000 800,000 1,000,000

2005 2007 200

9A 200 9B 200 9C 200 9 C AIR 201 2A 201 2B 201 2C
201 2 C AIR 201 8A 201 8B 201 8C

201 8BART 201 8 C AIR



### Annu al SO2 Emi ss ions

0 500,000 1,000,000 1,500,000 2,000,000 2,500,000 3,000,000

2005 2007 200

9A 200 9B 200 9C 200 9 C AIR 201 2A 201 2B 201 2C

201 2 C AIR 201 8A 201 8B 201 8C

201 8BART 201 8 C AIR

### 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 C

BART 2018

CAIR

IL 305 305 311 311 311 275 340 236 236 266 333 227 227 219 224

I N 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 C

BART 2018

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 214,727 203,493 203,776 203,776 201,947 133,188 212,790 212,790 210,877 125,541 221,950 212,805 210,81 0 177,027 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 C

BART 2018

CAIR

IL 326,598 273,467 281,028 281,028 281,028 295,516 309,209 196,238 194,746 267,1 10 305,364 106,638 105,152 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 result s 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 fo r 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 a ttainment of the 0.08 ppm (85 ppb) standard by 2009, except Holland. (Note, Holland does meet this standard by 2012.)

• The modeling shows nonattainm ent 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 non atta inment of the annual standard.

PM2.5

- Daily

• There is a signif icant change from the previous LADCO modeling (Round 5.1 with CAIR)

• Th e modeling shows extensive nonattainment of the daily standard.

Haze

• There is a significant change from the previous LADCO modeling (Round 5.1 with CAIR)

• T he modeling shows higher vis ibility 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) a re above t he 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 20182005

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 2018 2012 

# Table 2b. PM 2.5 

# 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. PM 2.5 

# 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. PM 2.5 

# 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 Montgomery 391130032 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. Mo deling Res ults: 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

O zone (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 

### Ta ble 4 . Mo deling 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. C

BART

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

MI NG1 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. C

BART

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

BRI G1 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

–

S cen

. 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

– S cen. 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) ControlsNOx

– 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 ctrlde s

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 NO X 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 cyi d 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 E F 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

---- -------- -------- ---------- f cid 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 YearSTID 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 2.8 895 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 1010020 2 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 S1 1 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 37.8380NOx

- 2012

Point Source Grown and Controlled Emissions by facility for N OX r6s1b_2012 Base Year = 2002

Future Year = 2012

STID=17 CYID=33 fcid=0338 01AAA name=AMEREN ENERGY GENERATING CO

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc poli d 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=AMER EN 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 ctr ltype 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 ENE RGY 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 14

3805AAG 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 13.8224STID=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 0.0 105

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 10 100203 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 7 0.024 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 F uture 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 0.01 25 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 EU00 3 002 10100501 NOX 0.000 0.000 0.0000 0.00 0.800 SCR SCR added by LADCO

---- -------- -------- ---------- fci d 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 ctrldes27 1 09 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 T ons/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 B003P 1 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 s tkid 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 068400

0000 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 1010 0202 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 CR EEK 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 SC R SCR added by LADCO

---- -------- -------- ---------- fcid 14.749 16.814 11. 0757

STID=55 CYID=79 fcid=241007800 name=WIS ELECTRIC POWER VALLEY STATIONBase Yr Grown Controll ed 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 0 1 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 0.0 0 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 ctrl type 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 0 1 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 0.0 0 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 86.2773NOx 20 18

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 1010 0601 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 Co ntrolled 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 0.924 9 0.00 0.000 SCR SCR added by LADCO

STID=17 CYID=79 fcid=079808AAA name=AMEREN ENERGY GENERATING CO

Base Yr Grown Controlled Ba se 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 Ye ar 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 10100 202 NOX 5.356 6.080 6.0798 0.00 0.000 LNB LNB added by LADCOSTID=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 Contro l 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 179801 AAA 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 0 011 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 46.2263STID=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 271090

0011 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 To ns/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 LAD CO 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 F uture 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 LADCO39 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 0.00 00 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 1.38 60 cyid 25.456 27.720 1.3860

st id 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 10 100202 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 VALL EY 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 5.2 995 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 1.103 2 0.00 0.400 SCR SCR added by LADCO55 117 460033090 S11 B24 01 10100203 NOX 4.107 4.662 3.8232 0.00 0.180 SCR SCR added by LADCO

5 5 117 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 26.735 5

======== ======== ========== 291.931 324.149 95.1624SO2

– 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 Cont rol 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 fc

id=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 9 7.551 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 271410

0004 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 ctrldes54 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 47.0832SO2

– 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 L LC

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day To ns/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

ST ID=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 09719

0AAC 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/D ay 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 C O

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Ton s/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 12.074STID=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 00 02 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 4 4.20 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 0.06 9 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 p rid 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 Ton s/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 03 101 00501 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 CYI D 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 ctrldes21 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=27 06100004 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 Pu blic Utilities

- Silver Lake

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid T ons/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 S crubber added by LADCO

STID=27 CYID=141 fcid=2714100004 name=NSP

- Sherburne Generating Plant

Base Yr Grown Controlled Base Year Future Year

STID CYID f

cid 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 Cont rol 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 PLANTBase Yr Grown Controlled Base Year Future Year

STID CYID fcid stkid dvid prid scc polid Tons/Da y 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 Scrubbe r 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 stk id 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 2.0 49 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 80.2 8 8.028

STID=47 CYID=85 fcid=0011 name=TVA JOHNSONVILLE FOSSIL PLANT

Base Yr Grown Contr olled 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 Ton s/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 Scr ubber 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 9 9 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 SCRUBBE R 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 Cont rol 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 00

25 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 Sc rubber 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 A MOS 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 LA DCO 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 3 33.50 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 14.5 4 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 add ed 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 43.6 8 49.80 11.797

stid 43.68 49.80 11.797

======== ======== ========== 1950.90 2075.80 287.480SO2

– 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 GENERATIO N 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 54.4 5 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 ctrldes17 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 1 27855AAC 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 Bas e 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 10 5.91 120.22 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 C ontrolled 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 4.3 92 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=16712 0AAO name=CITY WATER LIGHT & POWER

Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc poli d 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 SHUTDOW N 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 Co ntrol 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 1 0100202 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 101005 01 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 poli d 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 SCRUBBE R 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 ctrldes21 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 Cont rol 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 27

06100004 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 c trltype 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 To ns/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 Sc rubber 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 Futur e 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 ctrldes39 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 SCRUBBE R 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 B00 4 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

3 9 167 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 SO 2 113.96 124.10 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 CY ID=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 0.90 0 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 19.8 0 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 Futur e 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 PLAN T
Base Yr Grown Controlled Base Year Future Year STID CYID fcid stkid dvid prid scc polid Tons/Day Tons/Day Ton s/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 LADCO47 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 LA DCO

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 C YID 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 18.6 5 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=APPALACH IAN 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 SCR UBBER 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 3 381.52 400.481

# 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 Plat te 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 Car roll 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 Arizon a 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 Ar kansas 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 Bex ar 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 Harri s 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)

Plan t 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 S evier 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 Gree nidge 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

Cri st 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 2 876_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 Pennsylvani a 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 Ro ane 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 271 8_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 Texa s 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 Penn sylvania 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 Po wer 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 Gene rating 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 Caroli na 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 Port smouth 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_4B LR 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 Penn sylvania 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

Moun taineer 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 V irginia 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 Pr airie 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 Facilit y 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 Marq uette 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 DET ROIT 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 Shor e B004

OH 0616000000 Conesville Power Plant B003

OH 0616000000 Conesville Power Plant B004

OH 0616000000 Conesville Power Pl ant B007

OH 0641050002 Cardinal Power Pl ant B001

OH 0641050002 Cardinal Power Pl ant B002

### 7

OH 0641050002 Cardinal Power Plant B003

OH 0641050002 Cardinal Power Pl ant B004

OH 0641050002 Cardinal Power Pl ant B008

OH 0641050002 Cardinal Power P l ant 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 Ada ms 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 070100 0060 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 En ergy

- Columbia Generating B20

WI COLUMBIA 111003090 Alliant En ergy

- Columbia Generating B21

WI COLUMBIA 111003090 Alliant En ergy

- Columbia Generating B22

WI GRANT 122014530 Alliant Energy, Nelso n 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 BRO WN 405031990 WI Public Service Corp

- JP Pulliam B27 (unit 8)

WI SHEBOYGAN 460033090 WP & L Allian t Energy

– Edgewater B24

W I 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 Gi bson 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 Fal ls Utilities Unit #7 (EU10.1A)

IA 88

- 01

- 004 Central Iowa Power Cooperative (CIPCO)

– Summit Lake Station Comb Turbines (EU

1 /1G , EU2 /2 G)

IA 70

- 08

- 003 Central Iowa Power Cooperative (CIPCO)

– Fair Station Unit # 2 (EU 2 & EU 2G)

IA 85

- 01

- 006 City of Am es

- 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 (EU0 01

- 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 27 13700027 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 27 10900011 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 29083 0001 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 E1
Analysis of Insignificance

of Mobile Emissions

## 1 Analysis of Insignificance of Mobile Emissions

In Ohio’s July 16, 2008 PM 2.5 

## Attainment Demonstration SIP 1 

## , Ohio found that the regional highway emissions of PM 2.5 

## , NO
x 

## , and SO 2 

## were insignificant contributors to the nonattainment problems and, t herefore, none of the thr ee pollutants necessitated emissions inventory analysis or required the establishment of mobile emission budgets. As documented in Ohio EPA’s attainment demonstration SIP, Ohio EPA in consultation
with U.S. EPA determi ned that the Parkersburg-Marietta nonattainment area is not significantly impacted by on-road mobile emissions as compared to other source emissions; in addition, mobile source emissions in the area were expected to decrease.

Based on the results of mobile source emission projections prepared as a part of this redesignation and maintenance plan, Ohio EPA is again making a finding that the regional highway emissions of PM 2.5 

## , NO
x 

## , and SO 2 

## continue to be insignificant contributors to the nonattainment problems in this area, as discussed below.

U.S. EPA’s redesignation guidance requires the submittal of a comprehensive inventory

of PM 2.5 

## precursor emissions (primary particles (organic carbon, crustal matter, and elemental carbon), SO 2 

## and NO
x 2 

## ) representative of the y ear when the area achieves

attainment of the annual PM 2.5 

## air quality standard. Ohio al so must demonstrate that the improvement in air quality between the y ear that violations occurred and the year

that attainment was achieved is based on permanent and enforceable emission reductions. Other emission inventory related requirements include a projection of the emission inventory to a year at least 10 years following redesignation; a demonstration that the projected level of emissions is sufficient to maintain the annual PM 2.5 

## standard; and a commitment to provide future updates of the inventory to enable tracking of emission levels during the 10- year maintenance period.

The emissions inventory development process addresses emissions from several types of sources or sectors: point (EGU or non-EG U); non-point or area; marine, air, rail (MAR); non-road, and on-road or mobile. The inventories, with the exception of the mobile (on-road), used in this submittal are developed by the Lake Michigan Area Directors Consortium (LADCO) as discuss ed in greater detail elsewhere in the

documents associated with this submittal. All emission inventories utilized in the redesignation and maintenan ce plan for the Parkersburg-Marietta annual PM 2.5 

## nonattainment area were prepared for county level emissions.

Mobile emissions inventories and projections for all countie s were prepared by the Ohio Department of Transportati on (ODOT) and the Wood-Wash ington-Wirt Interstate Planning Commission (WWW), with data prov ided by the ODOT, Ohio EPA, West Virginia Department of Transportation (WVDOT), and We st Virginia Department of Environmental Protection (WVDEP). The m obile emission inventories are only generated for the annual PM 2.5 

## nonattainment areas, meanin g that if an area was designated partial nonattainment, that was t he only area that was modeled for inventory

1 http://www.epa.ohio.gov/portals/ 27/SIP/Attain/PM2_5/PM25Doc.pdf

2 VOC and NH 3 are not addressed.

## 2 development (as opposed to the entire count y that the partial nonattainment area is included within).

Since the mobile emissions inventories only address nonatta inment areas (county level or only partial areas determi ned as nonattainment) and t he remainder of the source sector inventories (non-elect ric generating unit (EGU), EG U, area, non-road, and MAR) address complete counties (which are not necessarily entirely classified as nonattainment), Ohio EPA and U.S. EPA agr eed that an apportioning analysis approach would most accurately provide for a determi nation of mobile emissions insignificance. The analysis incorporates apportioning non- EGU, non-road, MAR, and area emission sources from the entire county level inventory to the partial nonattainment portion of the county based on the percentages of population in the county versus the partial area (based on the 2000 Census ). However, for all partial nonattainment counties within this nonattainment area all EGU emissions within the county level inventory reside solely within the partial area. As such, Ohio EPA has apportioned all EGU emissions into the partial area.

Table 1 shows the total population in each c ounty that contains one or more partial nonattainment areas, the total population in each partial nonattainment area, and the population percentage in each partial nonattain ment area relative to the county population. This data is based on the 2000 Census data . The population percentages will be used to apportion all existing county level emissions (exc ept mobile and EGU emissions) to the partial nonattainment area.

Table 1. Total County Population, Part ial Nonattainment Area Population, and Percentage of County Population with in the Partial Nonattainment Area.

Total % of County

Pleasants County, WV 7,514

Grant Tax District 1,675 22.29%

http://censtats.census.gov/pub/Profiles.shtml

http://www.epa.gov/oaqps 001/greenbk/qnay.html 

### Population

Sources:



## The designation of a partial area as nonat tainment for the annual PM2.5 standard is primarily attributed to the existence of EGUs (power plants) within the area encompassing the partial nonattainment ar ea. As mentioned previously, all EGU emissions within each partial area presented in this redesignation and maintenance plan, reside only within the partial nonatta inment area. Hence, all county level EGU emission sources are apportioned to the parti al area since these emissions are only present in the partial area. EGU sources include those sour ces that are identified by point locations, typically because they are r egulated and their locati ons are available in regulatory reports.

## 3 Table 2 to Table 4 3 

## show partial nonattainment areas apportioning results and entire county level emissions. The emission reductions from the apportioning approach compared to the entire county level emissi ons, show further reductions across all emission sources (except EGUs and mobile sources since they are already only representing partial nonattainme nt areas). Please note t he Table 2 to Table 4 below only reflects emissions as a part of th e apportioning analysis for the partial nonattainment areas. The remaining emission s for full nonattainment counties included

in the determination of insi gnificance can be found in redesignation and maintenance document from Table 13, Table 17, and Table 21.

PM 2.5



## Table 2 - Pleasants County, West Virginia PM 2.5 

## Partial Nonattainment Areas Apportioning Results and Entire County Level Emissions: Emission Inventory Totals for Base Year 2005, Estimated 2008, and Projected 2015 and 2022 (tpy) – With CSAPR

Sector 2005

Base 2008

Attainment 2015

Interim 2015

Partial Only 2022

Maintenance 2022 Partial Only Safety Margin

EGU

Point 1,360.23 1,287.83 1,330.92 1,330.92 1,286.59 1,286.59 1.24

Non-EGU 198.72 159.57 143.78 32.05 141.49 31.54 18.08

Non-road 8.32 8.19 5.96 1.33 3.73 0.83 4.46

Area 143.43 121.73 116.47 25.96 113.48 25.30 8.25

MAR 28.83 12.30 12.38 2.76 12.45 2.78 -0.15

On-road 1.61 1.20 0.55 0.55 0.37 0.37 0.83

TOTAL 1,741.14 1,590.82 1,610.06 1,393.57 1,558.11 1,347.41 32.71

3 Tables 2 to Table 4 are similar to Table 13, Tabl e 17, and Table 21 of the Redesignation and Maintenance

document.

## 4 NO X



## Table 3 - Pleasants County, West Virginia NO
x 

## Partial Nonattainment Areas Apportioning Results and Entire County Level Emissions: Emission Inventory Totals for Base Year 2005, Estimated 2008, and Projected 2015 and 2022 (tpy) – With CSAPR

Sector 2005 Base 2008

Attainment 2015

Interim 2015

Partial Only 2022

Maintenan

ce 2022 Partial Only Safety Margin

EGU Point 

### 12,318.14 8,251.74 3,733.99 3,733.99 3,798.80 3,798.80 4,452.94

Non-EGU 

### 639.94 156.90 22.73 5.07 21.64 4.82 135.26

Non-road 

### 38.49 37.72 31.31 6.98 26.65 5.94 11.07

Area 

### 174.42 43.54 42.80 9.54 42.07 9.38 1.47

MAR 799.88 362.14 364.42 81.24 366.7 81.74 -4.56

On-road 54.17 42.41 19.05 19.05 9.96 9.96 32.45

TOTAL 14,025.04 8,894.45 4,214.30 3,855.87 4,265.82 3,910.64 4,628.63



## SO 2



## Table 4 - Pleasants County, West Virginia SO 2 

## Partial Nonattainment Areas Apportioning Results and Entire C ounty Level Emissions: Emission Inventory Totals for Base Year 2005, Estimated 2008, and Projected 2015 and 2022 (tpy) – With CSAPR

Sector 2005 Base 2008

Attainment 2015

Interim 2015

Partial Only 2022

Maintenance 2022

Partial Only Safety Margin

EGU Point 

### 52,295.78 15,803.98 6,090.44 6,090.44 7,687.48 7,687.48 8,116.50

Non-EGU 

### 5,623.32 1,175.69 1.11 0.25 1.08 0.24 1,174.61

Non-road 

### 2.42 0.47 0.12 0.03 0.13 0.03 0.34

Area 

### 97.76 55.40 52.50 11.70 49.60 11.06 5.80

MAR 

### 38.47 19.29 19.41 4.33 19.53 4.35 -0.24

On-road 

### 0.69 0.22 0.18 0.18 0.15 0.15 0.07

TOTAL 

### 58,058.44 17,055.05 6,163.76 6,106.93 7,757.97 7,703.31 9,297.08



## Table 5 to Table 7 show a summary comparison between entire counties (without apportionment, see columns D and F) and only nonattainment areas (with apportionment, see columns E and G). The comparison shows the apportionment
results in a decrease of at least 5.77% fo r all 2015 PM2.5 emissi ons and 5.76% for all 2022 PM2.5 emissions, 1.90% for all 2015 NO
x 

## emissions and 2.67% for all 2022 NO
x 

## emissions, and 0.07% for all 2015 SO 2 

## emissions and 0.11% for all 2022 SO 2 

## emissions. Recall, as ment ioned above, detaile d emissions by each sector for full

counties included in the determination of in significance and identified below can be

found in the full document.

## 5 Table 5 - Parkersburg-Marietta Area PM2.5 Partial Nonattainment Areas Apportioning Results and Entire County Level Emissions: Emission Inventory Totals for Base Year 2005, Estimated 2008, and Projected 2015 and 2022 (tpy) – Without CAIR (O hio) and With CSAPR (West Virginia)

A B C D E F G

PM 2.5 

### 2005 Base 2008

Attainment 2015

Interim 2015 Interim

with
Apportionment 2022

Maintenance 2022 Interim

with
Apportionment

Pleasants, WV 

### 1,741.14 1,590.82 1,610.06 1,393.57 1,558.11 1,347.40

Wood, WV 

### 1,262.25 1,002.42 944.57 944.57 918.15 918.15

Washington, OH 

### 1,143.35 1,203.35 1,198.61 1,198.61 1,181.01 1,181.01

COMBINED PM 2.5 

### TOTAL 

### 4,146.74 3,796.59 3,753.24 3,536.75 3,657.27 3,446.56



## Table 6 - Parkersburg-Marietta Area NO
x 

## Partial Nonattainment Areas Apportioning Results and Entire County Level Emissions: Emission Inventory Totals for Base Year 2005, Estimated 2008, and Projected 2015 and 2022 (tpy) – With CAIR (O hio) and With CSAPR (West Virginia)

A B C D E F G

NOx 2005 Base 2008

Attainment 2015

Interim 2015 Interim

with
Apportionment 2022

Maintenance 2022 Interim

with
Apportionment

Pleasants, WV 

### 14,025.04 8,894.45 4,214.30 3,855.87 4,265.82 3,910.64

Wood, WV 

### 5,760.06 4,495.90 3,195.98 3,195.98 2,640.34 2,640.34

Washington, OH 

### 21,668.23 22,365.96 11,439.41 11, 439.41 6,417.53 6,417.53

COMBINED NOx

TOTAL 

### 41,453.33 35,756.31 18,849.69 18,491.26 13,323.69 12,968.52



## Table 7 - Parkersburg-Marietta Area SO2 Partial Nonattainment Areas Apportioning Results and Entire County Level Emissions: Emission Inventory Totals for Base Year 2005, Estimated 2008, and Projected 2015 and 2022 (tpy) – With CAIR (O hio) and With CSAPR (West Virginia)

A B C D E F G

SO 2 

### 2005 Base 2008

Attainment 2015 Interim 2015 Interim

with
Apportionment 2022

Maintenance 2022 Interim

with
Apportionment

Pleasants, WV 

### 58,058.44 17,055.05 6,163.76 6,106.93 7,757.97 7,703.31

Wood, WV 

### 6,068.44 3,751.88 3,560.54 3,560.54 3,384.15 3,384.15

Washington, OH 

### 146,280.18 138,786.24 67, 625.84 67,625.84 37,351.17 37,351.17

COMBINED SO 2 

### TOTAL 

### 210,407.06 159,593.17 77,350.14 77,293.31 48,493.29 48,438.63

## 6 The following table shows the percentage of the mobile po rtion of all emissions, for each pollutant in the entir e nonattainment area, apporti oned per the above, for 2015

and 2022.

Table 8 – Percent of Mobile Emissions fo r the Parkersburg-Marietta Area in 2015 and 2022 – With Apportionment Anal ysis for partial nonattainment

areas

NOx SO2 PM2.5

2015 2022 2015 2022 2015 2022

ParkersburgMarietta Area Total (tpy) 

### 18,491.26 12,968.52 77,293.31 48, 438.63 3,536.75 3,446.56

Mobile (tpy) 

### 2,212.19 1,120.80 14.52 14.16 75.85 49.75

% Mobile 

### 11.96% 8.64% 0.02% 0.03% 2.14% 1.44%

Ohio Portion Total (tpy) 

### 11,439.41 6,417.53 67,625.84 37, 351.17 1,198.61 1,181.01

Mobile (tpy) 

### 1,200.52 572.25 6.46 6.31 41.68 25.22

% Mobile 

### 10.49% 8.92% 0.01% 0.02% 3.48% 2.14%



## NO
x 

## on-road emissions are just under twelve percent (11.96%) of the area’s total NO
x 

## emissions in the 2015 horizon year and just over eight percent (8.64%) in the 2022 horizon year. PM 2.5 

## on-road emissions constitute just over two percent (2.14%) of the

area’s total PM 2.5 

## emissions in the 2015 and just over one percent (1.44%) in the 2022 horizon years. SO 2 

## on-road emissions constitute le ss than one percent (0.02% for 2015 and 0.03% for 2022) of the area’s total SO 2 

## emissions in both the 2015 and 2022 horizon years.

Based on the results from Table 8 the Ohio EPA is herein making a finding that the area’s highway emissions for PM 2.5 

## , NO
x 

## , and SO 2 

## continue to be insignificant

contributors to the nonattainme nt problem of the Parkersbur g-Marietta area, as agreed upon as a part of the interagency consultation process. Because of this finding it is not necessary to establish mobile emission budgets for this area in the 2015 and 2022 horizon years.

Moreover, the nonattainment area meets the 40 CFR 93.109(m) criteria for PM2.5, NO
x 

## , and SO 2 

## . As shown, throughout the “Redesignatio n Request and Maintenance Plan for
the Ohio Portion of the Parker sburg-Marietta, OH-WV Annual PM 2.5 

## Nonattainment Area” document, it would be unreasonable to expect that the Parkersburg-Marietta area would experience enough motor vehicle emissions growth in PM2.5, NO
x 

## , and SO 2 

## for a

PM 2.5 

## NAAQS violation to occur. Ohio EPA demonstrates that the percentage of motor

vehicle emissions in the context of the total SIP inventory, t he current state of air quality as determined by monitoring data, the absence of SIP motor vehicle control measures, and historical trends and future projections of the growth of motor vehicle emissions, are evidence enough to consider mobile source PM2.5, NO
x 

## , and SO 2 

## insignificant contributors to fine particles.

# Appendix F1

Public notice

## Public Notice Ohio Environmental Protection Agency Redesignation and Maintenance Plan for the Ohio Portion of the Parkersburg-Marietta, WV-OH

Annual PM 2.5 

## Nonattainment Area

Washington County

Notice is hereby given that the Director of the Ohio Environment al Protection Agency (Ohio EPA) is requesting that the United States Environment al Protection Agency (U.S. EPA) revise the current air quality designation for the Ohio portion of the ParkersburgMarietta, WV-OH area, including Washington C ounty, to attainment with respect to the

1997 annual PM 2.5 

## national ambient air quality standar d (NAAQS). Air quality monitoring

data collected between 2008 and 2010 in the region demonstrate attainment of the
NAAQS and there is evidence that the improved air qua lity is due to permanent, enforceable emission reductions. In addition, existing requirements are sufficient to

maintain the 1997 annual PM 2.5 

## standard in this area at least ten years into the future.

Computer models show that existing stat e and federal emission reduction requirements

are sufficient to attain and maintain the NAAQS in the Parkersburg-Marietta area. Therefore, Ohio EPA proposes to utilize existing emission inventory information and projections of future emissions as the dem onstration of the abilit y to maintain the NAAQS in the Parkersburg-Marietta area in the future.

The Parkersburg-Marietta area is current ly designated as nonattainment for the 1997

annual PM 2.5 

## standard. As part of an acceptable maintenance plan, Ohio EPA is required to develop a contingency plan to prov ide for additional emission reductions if a
violation of the NAAQS is monitored afte r the area has been redes ignated. The plan which Ohio EPA is proposing to USEPA as part of this redesignation contains reductions which will help alleviate any am bient problem until a revised SIP can be developed.

The State of Ohio proposes to:

1. Request the U.S. EPA redes ignate the Ohio portion of the Parkersburg-Marietta, WV-OH area to attainment with respect to the 1997 annual PM 2.5 

## NAAQS and revise the maintenance plan. This reques t will document that existing enforceable control measures are responsible for t he 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 allo w public comment and to satisfy USEPA requirements for public involvement in SIP-re lated activities. This notice addresses Ohio

## EPA’s reliance on the emission projections as evidence of attainment and maintenance

and the commitment to instit ute contingency measures if ambient exceedances or violations trigger the contingency plan r equirements. Written comments will be received on or before February 16, 2012 at the following address:

E-mail: jennifer.dines@epa.state.oh.us

Mailing address: Jennifer Dines Ohio Environmental Protection Agency, DAPC
Lazarus Government Center
P.O. Box 1049 Columbus, Ohio 43216-1049 Phone: (614) 644-3696

Pursuant to Part D of Title I of the Clean Air Act, Ohio EPA is also required to hold a public hearing on this SIP revision. A pub lic hearing on this SIP revision will be

conducted as follows: February 16, 2012 at 3:00 PM at the Marietta Library, 615 5 th


## Street, Marietta, Ohio 45750

.

All interested persons are entitled to att end or be represented at the hearing 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 busine ss on February 16, 2012 will be considered by Ohio EPA prior to final action on this redesignation. Written stat ements submitted after February 16, 2012 may be considered as time and circumstances pe rmit, 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 at: 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 Jennifer Dines at (614) 644-3696, Jennifer.dines@epa.state.oh.us or mailed to Jennifer

Dines at the above address.

# Appendix F2
Public Hearing Transcript