# P ennsylvania 2007 Area Source Criteria Air Pollutant Emission Estimation

Methods

December 2009

Prepared by Pennsylvania Department of Environmental Protection

Bureau of Air Quality Rachel Carson State Office Building

PO Box 8468 Harrisburg, PA 171 05

- 8468

Contact: Sherry Bogart, 717

- 783

- 5974, sbogart@state.pa.us

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## TABLE OF CONTENTS

AREA SOURCE DEFINITION

................................ ................................ ................................ ................................ ....... 5

METHOD S FOR ESTIMATING AREA SOURCE ACTIVITY AND EMISSIONS

................................ .................... 5 ADHESIVES AND SEALANTS (SCC 2460600000)

................................ ................................ ................................ ... 12 AIRCRAFT COATING (SCC 240107500 0)

................................ ................................ ................................ ................. 14 APPLIANCES (SCC 2401060000)

................................ ................................ ................................ ................................ 16 ARCHITECTURAL SURFACE COATINGS (SCC 2401001000)

................................ ................................ .............. 18 ASPHALT PAVING (2 SCCs)

................................ ................................ ................................ ................................ ...... 20 AUTOMOTIVE AFTERMARKET PRODUCTS (SCC 2460400000)

................................ ................................ ......... 25 AUTOMOTIVE REFINISHING (S CC 2401005000)

................................ ................................ ................................ ... 27 BAKERIES (SCC 2302050000)

................................ ................................ ................................ ................................ .... 29 COATINGS AND RELATED PRODUCTS (SCC 2460500000)

................................ ................................ ................. 31

COMMERCIAL COOKING

– (5 SCCs)

................................ ................................ ................................ ....................... 33 CONSTRUCTION DUST (3 SCCs: SCC 2311010000, SCC 2311020000, SCC 2311030000)

................................ .. 41 DEGREASING (4 SCCs: SCC 2415360000, SCC 2415300000, SCC 2415230000, SCC 2415200000)

..................... 53 DRY CLEANERS (SCC 2420000000)

................................ ................................ ................................ .......................... 56 ELECTRONIC AND OTHER ELECTRIC COATINGS (SCC 2401065000)

................................ .............................. 58 FACTORY FINISHED WOOD (SCC 2401015000)

................................ ................................ ................................ ..... 60

FIFRA

- REGULATED PRO DUCTS (SCC 2460800000)

................................ ................................ ............................. 61

FUEL COMBUSTION

– COMMERCIAL/INSTITUTIONAL (7 SCCs: SCC 2103001000, SCC 2103002000,

....... 64 SCC 2103004000, SCC 2103005000, SCC 2103006000, SCC 2103007000, SCC 2103011000)

................................ 64

FUEL COMBUSTION

– INDUSTRIAL (7 SCCs: 2102001000,

................................ ................................ ................ 79

SCC 21 02002000, SCC 2102004000, SCC 2102005000,

................................ ................................ .............................. 79 SCC 2102006000, SCC 2102007000, SCC 2102011000)

................................ ................................ ............................. 79 GASOLINE MARKETING (5 SCCs)

................................ ................................ ................................ ......................... 102 GRAPHIC ARTS (SCC 2425000000)

................................ ................................ ................................ ......................... 107 HOUSEHOLD PRODUCTS (SCC 2460200000)

................................ ................................ ................................ ........ 108 INDUSTRIAL MAINTENANCE COATINGS (SCC 2401100000)

................................ ................................ .......... 110

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MACHINERY AND EQUIPMENT (SCC 2401055000)

................................ ................................ ............................ 111 MARINE COATING (SCC 2401080000)

................................ ................................ ................................ ................... 113 METAL CANS (SCC 2401040000)

................................ ................................ ................................ ............................. 115 METAL FURNITURE (SCC 2401025000)

................................ ................................ ................................ ................. 117 METAL SHEETS, STRIPS, COILS (SCC 2401045000)

................................ ................................ ............................ 118 MISCELLANEOUS MANUFACTURING (SCC 2401090000)

................................ ................................ ................. 120

MISCELLAN EOUS PRODUCTS (NOT OTHERWISE COVERED) (SCC 2460900000)

................................ ....... 122 OPEN BURNING (3 CCs)

................................ ................................ ................................ ................................ ........... 124 OTHER SPECIAL PURPOSE COATINGS (SCC 24012000 00)

................................ ................................ ................ 129 PAPER, FOIL AND FILM (SCC 2401030000)

................................ ................................ ................................ .......... 131 PERSONAL CARE PRODUCTS (SCC 2460100000)

................................ ................................ ................................ 133

PORTABLE FUEL CONTAINERS

– GASOLINE DISTRIBUTION (10 SCCs)

................................ ..................... 135 PUBLIC OWNED TREATMENT WORKS (SCC: 2630020000)

................................ ................................ .............. 138 RAILROAD SOLVENTS (SCC 2401085000)

................................ ................................ ................................ ............ 140 RESIDENTIAL COAL FOSSIL FUEL COMBUSTION (2 SCCs: SCC 2104001000, SCC 2104002000)

............... 142 RESIDENTIAL FUEL OIL/KEROSENE COMBUSTION (2 SCCs: SCC 2104004000, SCC 2104011000)

........... 149 RESIDENTIAL LIQUIFIED PETROLEUM GAS (LPG) (SCC 2104007000)

................................ .......................... 154 RESIDENTIAL NATURAL GAS (SCC 2104006000)

................................ ................................ ............................... 157 TRAFFIC LINE PAINTING (SCC 2401008000)

................................ ................................ ................................ ........ 161

WINERIE S (SCC 2302070005)

................................ ................................ ................................ ................................ ... 163 WOOD FURNITURE AND FIXTURES (SCC 2401020000)

................................ ................................ .................... 165

ACKNOWLEDGEMENTS

................................ ................................ ................................ ................................ .......... 167

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AREA SOURCE DEFINITION

For emission inventory development purposes, the term “area sources” traditionally refers to stationary air pollutant emissio n sources that are not inv entoried at the facility

- level. While point sources are inventoried individually, area sources are typically inventoried at the county level ( Introduction to Area Source Emission Inventory Development Volume III: Chapter 1 ) 1



### . Sources such as g asoline

stati ons and dry cleaning establishments are often treated as both point and area sources. The main reason they are not exclusivel y treated as point sources is that the effort required to gather data and estimate emissions for each individual facility is ve ry g reat, while emissions per facility are generally small. For these sources, a cut

- off point, typically based on annual emissions, usually defines the distinction between point and area. The Consolidated Emissions Reporting Rule (CERR) specifies reporting cr iteria air pollutant (CAP) thresholds for point and area sources, which vary depending on the pollutant and the attainment status of a county (see http://www.epa.gov/ttn/chief/cerr/index.html ).

Individual emissions sources are grouped with other like sources into source categories. These source categories are grouped in such a way that they can be estimated collectively using one methodology. Most area source categories do not have an analogue i n the point

sourc e inventory. C ommercial/consumer product use is such an example . The boundaries of the individual activities associated with these sources are often hard to determine or are, at best, arbitrary. Even within a point source facility, some ac tivities occur that are more easily treated as area source emissions. Some emissions associated with surface coating operations such as equipment cle aning, for example, can be more practically estimated using area source methods even though other surface c oating operations may be reported as part of the point source inventory.

M ETHODS FOR ESTIMATING AREA SOURCE ACTIVITY AND EMISSIONS

Area source emissions are generally estimated by multiplying an emission factor by some known indicator or collective activ ity for each area source category at the county level. Several methodologies are available for estimating area source activity levels and emissions. For this 2007 area source inventory, estimates were derived by (1) treating area sources as point sources, (2) obtaining

1 

### Eastern Research Group, Inc., “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 1, Introduction to Area Source Emission Inventory Development (Revised Final),” prepared for the Area Sources Committee, Emission Inventory Improvement Program, January 2001.

### 6

county

- level activity data, (3) apportioning national or statewide activity data to counties, (4) use of per capita emission factors , and (5) use of per employee emission factors. Each approach has distinct advantages and disadvantages as dis cussed below.

Small sources that would normally be treated as area sources may be handled as point sources for several reasons. First, coun ty level activity data may not be readily determinable for certain source categories. Municipal landfills provide an example of this situation.

For some source categories, county activity estimates were available. For example, monthly wine production data for 2007 were available by county from the Alcohol & Tobacco Tax and Trade Bureau, Department of Treasury. If count y activity data were not available, Commonwealth totals were apportioned to counties using data for a surrogate of the emissions activity. For example , the quantity of highway gasoline consumed in the Commonwealth was apportioned to the county level on the basis of vehicle miles traveled per county. Residential, commercial, and industrial fuel combustion were other categories that were handled in this manner. The major drawbacks of this approach are that additional data and resources are needed to apportion activity levels to the local level, and accuracy is lost in the process. If Commonwealth level data were not available, then national data were used in a similar manner.

Sources in certain area source categories were not only numerous and diffuse, but we re too difficult to inventory by any of the above procedures. As an example, solvent evaporation from consumer and commercial products such as waxes, aerosol products and window cleaners cannot be routinely determined by DEP. In addition, it would be resou rce

- intensive to develop and implement a survey that would yield such information. Per capita or per employee emission factors are used to estimate emissions for thes e source categories. The use of per capita emission factors is based on the assumption tha t, for a given source category, emission activity can be reasonably associated with population. This assumption is valid over broad areas for certain categories such as Architectural Surface Coating and solvent evaporation from Consumer and Commercial Prod ucts.

For categories that rely on a per capita emission factor, county population estimates for 2007 were obtained from the U.S. Bu reau of the Census. When emissions are calculated from per employee emission factors, county

- level employment data for 200 6 were obtained . Because county employment data for 2007 was not be available from the Bureau of the Census’ County Business Patterns (CBP) until July 2009

, data for the appropriate North American Industrial Classification System (NAICS) codes were obtained by E.

H. Pechan & Associates from the 2006 CBP 1 

### . The Commonwealth

- level employment data were obtained at the NAICS code level

from the U.S. Bureau of Labor Statistics. 2

1 

### U.S. Department of Commerce, Bureau of the Census, County Business Patterns 2006, Pennsylvania , available from http://www.census.gov/epcd/cbp/view/cbpview.html

,.

2 

### U.S. Bureau of Labor St atistics, Current Employment Statistics , available from http://www.bls.gov/sae/home.htm

.

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In some cases, the Census does not report the employment value for a particular NAICS code/county combination because of confidentiality concerns. In these cases, the Census provides employment data as a range (e.g., between 20 and 99 employees). When a precise number of employees was not available from CBP, an initial estimate was develop ed based on the mid

- point of the reported range (e.g., 60 employees was used for the 20 to 99 employment range). For a given NAICS code, the mid

- point estimates were then adjusted up or down to yield the Commonwealth

- level employment for that NAICS code as reported in the CBP. The adjustments were computed by first calculating the difference between the Commonwealth

- level CBP employment and the total of the employment values for counties for which actual employment values were reported in the CBP. The resul ting value represents employment for the counties for which the CBP reports an employment range value. This value was then divided by the sum of th e mid

- point employment estimates for the counties for which employment was reported as a range. The resulting ratio was multiplied by

the mid

- point estimates to yield the final county employment estimates. The calculation spreadsheets provide each of the steps used i n this estimation procedure. National, State and County level employment data downloaded from US C ensus Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment midpoint and adjustment factor was performed by E.H. Pechan & Associates.

Control Efficiency (CE)

Control efficiency is the emission reduction percentage associated with a control device, process change or reformulation. Co ntrol efficiencies can vary widely by source within an area source category. Area source control effici ency values represent the weighted average control for the category.

Rule Penetration (RP)

Because lower

- emitting sources within a source category may not be covered by a regulation, it is important to reflect the extent to which total source category emissions are affected. Rule penetration represents the percentage of total source category emissions that are affected by a regulation.

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Rule Effectiveness (RE)

Rule effectiveness is a factor used to adjust the control efficiency to account for failures and uncertainties that affect the actual performance of the control. For example, control equipment performance may be adversely affected by age of the equipment, lac k of maintenance, or improper use. With the exception of Federal regulations, a default R E value of 80 percent was applied when

information was not available to substantiate the true RE value 1 

### . An RE of 100 percent was applied to all Federal regulations that require national compliance.

The RE factor is applied to the estimated control effici ency in the calculation of emissions from a source. The formula for the application of CE, RP, and RE is displayed below:

Uncontrolled Emissions = 50 pounds per day Control Efficiency = 90 percent

Rule Penetration = 60 percent

Rule Effectiveness = 80 p ercent

Controlled Emissions = Uncontrolled Emissions × (1

– CE/100 × RP/100 × RE/100)

Controlled Emissions = 50 × (1

– 0.9 × 0.6 × 0.8) = 50 × (1

– 0.432) = 28.4 pounds per day

An RE and/or RP value can substantially increase emission estimates when hig h control efficiencies are involved. For example, if RP was not applied in the above example (equivalent to a 100 percent RP assumption), then estimated emissions are:

Controlled Emissions = 50 × (1

– 0.9 × 0.8) = 50 × (1

– 0.72) = 14 pounds per day.

1 

### Eastern Research Group, Inc., “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, C hapter 1, Introduction to Area Source Emission Inventory Development (Revised Final),” prepared for the Area Sources Committee, Emission Inventory Improvement Program, January 2001.

### 9

Po int Source Subtractions

Source categories can appear in both the area source and point source inventory. For example, emissions from large dry cleani ng establishments may be included in the point source inventory, while emissions from smaller dry cleaner s (below some specified cutoff) are included in the area source inventory. When a point source inventory and an area source inventory include emissio ns from the same process, the area source emission estimates are adjusted to avoid double counting. Althoug h many area source categories (e.g., Architectural Surface Coating) do not have companion point source categories, there are many source categories in the area source inventory for which emissions are reported in the Pennsylvania point source inventory (se e Table 1). For these source categories, point source emissions are subtracted from total emission estimates to yield area source emissions. Ideally, this adjustment would occur in the area source emission calculation by subtracting point source emission activity (throughput) from total emission activity as shown below.

However, the Pennsylvania point source inventory does not report throughput for most sources. Therefore, it was necessary to calculate the point source subtract ions using total and point source emission estimates as identified below.

where: p = pollutant

Separate point source inventories were developed for Allegheny and Philadelphia counties and for all other counties. Except for

ammo nia and lead, the Allegheny inventory reports annual emissions for all pollutants included in the area source inventory. The se pollutants are also missing from the Philadelphia County annual inventory. Unlike the Allegheny inventory, the Philadelphia Cou nty inventory does not report PM emissions on a filterable and condensable basis, but rather on a primary basis. The inventory f or the remaining counties reports annual emissions for the same pollutants as the Philadelphia County inventory, with the excep tion of primary PM 2.5 

### (PM25

- PRI), which is not reported for the remaining counties. Given the different ways in which PM emissions are reported in the 2002 Pennsylvania point source inventory, it was necessary to develop PM emissions on a consistent basis to facilitate the point source subtractions. Therefore, for Allegheny County, Pechan summed the condensable and the filterable PM emission s to
obtain PM10

- PRI and PM25

- PRI emission values for use in the point source subtractions.

### 10

To facilitate the point source subtractions, the annual emission records for all point SCCs associated with an area source category were summed to the county level. The county

- level point source annual emissions were then subtracted from the area source category

annual emissions using an area source category

- to

- point source category crosswalk developed for this project. Note that in keeping with EIIP guidance, when the resulting area source emission estimate was negative, the area source emission value was set to zero. The follo wing presents an example of point source NO

x 

### emission subtraction calculations for the Commercial/Institutional

Bituminous/Sub

- bituminous Coal Combustion category (SCC 2103002000).

The following individual sections describe th e annual and seasonal emission estimation methodology for each area source category. Each section contains a brief description of the source category, identifies whether the category’s emission estimates were s ubject to point source emission subtractions, and presents sample emission calculations (point source subtractions are not included in these sample calculations). All referenced sources are displayed in Appendix A.

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Table 1. Area Source Inventory Categories with Point Source Emission Subtract ions

SCC SCC1DESC SCC3DESC SCC6DESC SCC8DESC

2102001000 Stationary Source Fuel Combustion Industrial Anthracite Coal Total: All Boiler Types

2102002000 Stationary Source Fuel Combustion Industrial Bituminous/Sub

- bituminous Coal Total: All Boiler Types

2103001000 Stationary Source Fuel Combustion Commercial/Institutional Anthracite Coal Total: All Boiler Types

2103002000 Stationary Source Fuel Combustion Commercial/Institutional Bituminous/Sub

- bituminous Coal Total: All Boiler Types

2103004000 Stationa ry Source Fuel Combustion Commercial/Institutional Distillate Oil Total: Boilers and IC Engines

2102004000 Stationary Source Fuel Combustion Industrial Distillate Oil Total: Boilers and IC Engines

2103005000 Stationary Source Fuel Combustion Commercial/I nstitutional Residual Oil Total: All Boiler Types

2102005000 Stationary Source Fuel Combustion Industrial Residual Oil Total: All Boiler Types

2103006000 Stationary Source Fuel Combustion Commercial/Institutional Natural Gas Total: Boilers and IC Engines

2102006000 Stationary Source Fuel Combustion Industrial Natural Gas Total: Boilers and IC Engines

2103007000 Stationary Source Fuel Combustion Industrial Liquefied Petroleum Gas (LPG) Total: All Combustor Types

2302070001 Industrial Processes Food and Kindred Products: SIC 20 Fermentation/Beverages Breweries

2401015000 Solvent Utilization Surface Coating Factory Finished Wood: SIC 2426 thru 242 Total: All Solvent Types

2401020000 Solvent Utilization Surface Coating Wood Furniture: SIC 25 Total: All So lvent Types

2401040000 Solvent Utilization Surface Coating Metal Cans: SIC 341 Total: All Solvent Types

2401050000 Solvent Utilization Surface Coating Miscellaneous Finished Metals: SIC 34

- (341 + 3498) Total: All Solvent Types

2401055000 Solvent Utili zation Surface Coating Machinery and Equipment: SIC 35 Total: All Solvent Types

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

2401085000 Solvent Utilization Surface Coating Railroad: SIC 374 Total: All Solvent Ty pes

2401090000 Solvent Utilization Surface Coating Miscellaneous Manufacturing Total: All Solvent Types

2415200000 Solvent Utilization Degreasing All Industries: Conveyerized Degreasing Total: All Solvent Types

2415300000 Solvent Utilization Degreasing All Industries: Cold Cleaning Total: All Solvent Types

2425000000 Solvent Utilization Graphic Arts All Processes Total: All Solvent Types

2501060053 Storage and Transport Petroleum and Petroleum Product Storage Gasoline Service Stations Stage 1: Balanced Submerged Filling

2501060101 Storage and Transport Petroleum and Petroleum Product Storage Gasoline Service Stations Stage 2: Displacement Loss/Uncontrolled

2501060102 Storage and Transport Petroleum and Petroleum Product Storage Gasoline Service Statio ns Stage 2: Displacement Loss/Controlled

2601010000 Waste Disposal, Treatment, and Recovery On

- site Incineration Industrial Total

2601020000 Waste Disposal, Treatment, and Recovery On

- site Incineration Commercial/Institutional Total

2620030000 Waste Dis posal, Treatment, and Recovery Landfills Municipal Total

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A DHESIVES AND SEALANTS (SCC 2460600000 )

Adhesives are formulated organic polymer compounds that adhere to, or form a bond between, one or more substrates. They are commonly referred to as ceme nts, glues and pastes. Adhesives can be classified as water

- based, solvent

based, hot melts, or radiation curable. Sealants and caulking compounds are organic polymers used to fill or seal gaps between surfaces. The primary solvents used in formulating ad hesives and sealants are aliphatic hydrocarbons and

ke y tones.

County

- level emissions were calculated using a per capita emission factor which was obtained from the Emission Inventory Improvement Program (EIIP) 1 

### and U.S. Bureau of the Census 2007 populatio n data 2 

### . The emission factor

represents pre

- control emission rates. A CE of 8.3 percent 3 

### and an RP of 48.6 percent 4 

### were applied to reflect the Federal Rule for consumer products. There are no point sources associated with this category.

Each county’s emi ssions are estimated per the sample calculations listed below.

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Docume nt Series, Volume III, Area Sources, Chapter 5, Consumer and Commercial Solvent Use,” Table 5.4

- 1, prepared for the Area Sources Committee, Emission Inventory Improvement Program, August 1996, available from http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html , accessed March 2009

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Popu lation Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

3 

### ERTAC Recommendation, Midwest RPO Inventory Comparability Project, revised June 2, 2009, accessed June 2009.

4 

### E.H. Pechan & Associates, Inc., Control Measure Development Support Analysis of Ozone Transport Commission

Model Rules , prepared for the Ozone Transport Commission, March 2001.

### 13

SAMPLE VOC EMISSION CALCULATIONS:

where:

Emission Factor = 0.57 lbs VOC/person/year 1



### Population = 1,219,2 10 (Allegheny County) 2


### Control Efficiency = 8.3% 3



### RP (Rule Penetration) = 48.6% 4



### RE (Ru le Effectiveness) = 100%

### 14

A IRCRAFT COATING (SCC 2401075000)

This source category includes aircraft building and repairing. The emissions were calculated using an employment

based emission factor 1 

### and employee data from N AICS code 3364XX . The number of employees in each county for 2006 was collected by E.H. Pechan and Associates, who calculated the midpoints from any given ranges 2 

### . Each county’s emissions were estimated per the following sample calculations below. Point s ource emissions, where present,

were subtracted from these emission estimates.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Factor)(Number of Employees)

where:

Emission Factor = 15 lbs VOC /employee/year Employees = 4494 emplo yees ( Delaware County)

1 

### ERTAC Area Inventory Comparabil ity Project , revised August 14, 2009, accessed October, 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the ra nge, and calculated final activity data using the employment midpoint and adjustment factor

.

### 15

### 16

APPLIANCES (SCC 2401060000)

The VOC emissions from this source category result from the evaporation of the solvent used in the coating process in the manufacture of electrical appl iances such as refrigerators, freezers, laundry equipment, and electric house wares. Emissions for each county were estimated per the sample calculations below using an employment

- based emission

factor 1 

### and the number of 2006 employees in the NAICS codes 3352XX

. . The number of Appliance employees was

collected from U.S. Census Bureau’s County Business Patterns 2 

### by E. H. Pechan and Associates who calculated midpoints for any ranges obtained

. Point source emissions, where present, were subtracted from thes e emission

estimates.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Factor)(Number of Employees)

where:

Emission Factor = 249 lbs VOC/employee/year Employees = 41 (

Berks County)

1 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed September 2009.

2 

### National, state and c ounty level employment data downloaded fr om US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment midpoint and adjustment factor

.

### 17

### 18

AR CHITECTURAL SURFACE COATINGS (SCC 2401001000)

Architectural surface coatings are used by homeowners and painting contractors to coat the interior and exterior of buildings and other structures. The coatings are applied by spray, brush, or roller and dry o r cure at ambient conditions. The VOC emissions from this source category result from the evaporation of the paint and cleanup solvents.

Each county’s emissions were calculated using a per capita emission factor 1 

### and U.S. Bureau of the Census 2007

count y population data 2 

### . The Federal architectural surface coating regulations call for a 20 percent reduction in the solvent content of architectural surface coatings manufactured after September 1999, which reduction was accounted for in the development of t he new per capita emission factor for states with AC rules (2.41 lbs VOC/person/year) 1



### .

Each county’s emissions are estimated per the sample calculations listed below.

SAMPLE VOC EMISSION CALCULATIONS:

1 

### ERTAC Area Inventory Compara bility Project , revised August 14, 2009, accessed August 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

### 19

where:

Emission Factor = 2.41 lbs VOC/person/year 1


### Population = 1,219,210 (Allegheny County ) CE (Control Efficiency) = 0%, integral with new EF, for states

with AC rules 1



### R P (Rule Penetration) = 100% RE (Rule Effectiveness) = 100%

### 20

ASPHALT PAVING (2 SCCs)

SCC category’s emissions for 2461021000 (Cutback Asphalt) and 2461022000 (Emulsified Asphalt) were calculated by E.H. P echan and Asso ciates. The following documentation was prepared by E.H. Pechan and Associates with

footnotes located at the end of this section :

Asphalt paving is the process of applying asphalt concrete to seal or repair the surface of roads, parking lots, driveways, walkways, or airport runways. Asphalt concrete is a composite material comprised of a binder and a mineral aggregate. The binder, referred to as asphalt cement, is a byproduct of petroleum refining and contains the semi

- solid residual

material left after t he more volatile chemical fractions have been distilled off. 1



### a. Emulsified Asphalt

Asphalt cements thinned with water and an emulsifying agent are known as cutback asphalts. This thinning reduces the viscosity of the asphalt making it easier to work with the mixture. The primary uses of emulsified asphalt include tack and seal operations, priming roadbeds, and paving operations for pavements up to several inches thick.

Emulsified asphalt may contain up to 12 percent organic solvents by volume. 1 

### Emission s from emulsified asphalt result from the evaporation of VOCs after the mixture is laid down. Compared to cutback asphalt, emulsified asphalt has lower VOCs emissions per ton used.

b. Cutback Asphalt

Asphalt cements thinned with petroleum distillates are k nown as cutback asphalts. The primary uses of cutback asphalt include tack and seal operations, priming roadbeds, and paving operations for pavements up to several inches thick. Cut

back asphalt is produced by thinning the binder in a diluent containing 25 to 45 percent petroleum distillates by volume prior to mixing with the aggregate. This reduces the viscosity of the asphalt making it easier to work with the mixture.

Emissions from cutback asphalt result from the evaporation of VOCs and HAPS after the mixture is laid down. Of all asphalt types, cutback asphalt has the highest diluent content and, as a result, emits the highest levels of VOCs per ton

### 21

used. The timeframe and quantity of VOC and HAP emissions depend on the type and the quantity of organic solvent

used as a diluent.

For these source categories , the following SCC s w ere assigned:

SCC SCC Level 1 SCC Level 2 SCC Level 3 SCC Level 4

2461022000 Solvent

Utilization Misc. Non

- industrial:

Commercial Emulsified

Asphalt Total: All

Solvent Types

2461021000 Solvent

Utilization Miscellaneous Non

industrial:

Commercial Cutback Asphalt Total: All Solvent Types

The general approach to calculating emissions from emulsified asphalt and cutback asphalt paving is to multiply the estimated county

- level emu lsified asphalt usage by emission factors for VOCs.

State

- level emulsified asphalt and cutback asphalt usage in 2008 was obtained from the Asphalt Institute’s 2008 Asphalt Usage Survey

. 2 

### State

- level data were allocated to county

- level according to the fra ction of paved road vehicle miles traveled (VMT) in each county.

Total annual VMT estimates by State and roadway class were obtained from the Federal Highway Administration’s (FHWA) annual Highway Statistics report. 3 

### Paved road VMT was calculated by subt racting the State/roadway class unpaved road VMT from total State/roadway class VMT. State

- level paved road VMT was spatially allocated to counties according to the fraction of total VMT in each county for the specific roadway class as shown by the followi ng equation:

VMT x,total 

### = ∑VMT

ST,y 

### * VMT

x,y 

### / VMT

ST,y



### where: VMT x,total 

### = VMT (million miles) in county x on all paved roadways

VMT ST,y 

### = paved road VMT for the entire State for roadway class y
VMT x,y 

### = total VMT (million miles) in county x and roadway cl ass y VMT ST,y 

### = total VMT (million miles) in entire State for roadway class y

### 22

The county

- level total VMT by roadway class used in this calculation was previously developed by E.H. Pechan and Associates, Inc. to support the on

- road national emissions inve ntory

. 4



### c. Emission Factors

Emission factors for emulsified asphalt and cutback asphalt usage were obtained from the Technical Report Series produced by the U.S. EPA’s Emission Inventory Improvement Program and are reported in Table 1 below. 1



### d. Emis sions

Emissions were calculated by multiplying the county

- level asphalt usage (barrels) by the emission factors listed in Table 1 and then dividing by 2000 to convert pounds to tons.

Emissions x,y 

### = (Asphalt Usage

x 

### * EF y 

### ) / 2000

where: Emissions x,y 

### = emis sions (tons) of pollutant y in county x

Asphalt Usage

x 

### = emulsified asphalt (barrels) used in county x

EF y 

### = emission factor for pollutant y

To convert tons of asphalt reported in the 2008 Asphalt Usage Survey to barrels, it was assumed that the densi ty of asphalt is similar to that of water, 8.34 lbs/gal, and that one barrel equals 42 gallons.

Barrels of Asphalt = (tons of asphalt * 2000 lbs / 8.34 lbs/gal) / 42 gal/barrel

Note that one barrel of asphalt weights approximately 350 pounds.

### 23

e. Sample Calculation

VOC emissions from emulsified asphalt usage in Allegheny County, Pennsylvania :

From the 2008 Asphalt Usage Survey , the state of Pennsylvania used 69,671 tons of emulsified asphalt in 2008. The fraction of paved road VMT traveled in Allegheny C ounty is 10,516.10 million miles divided by 104,400.2 million miles which equals 0.10073

.

Asphalt Usage Allegheny 

### = (( 69,671 tons * 2000 lbs / 8.34 lbs/gal) / 42 gal/barrel) * 0.10073

Asphalt Usage Allegheny 

### = 40,070.571 barrels

VOC Emissions Allegheny 

### = ( 40,070.571 barrels * 9.2 lbs/barrel) / 2000 lbs/ton

VOC Emissions = 184.32 tons

Table 1. Criteria Emission Factors for Emulsified and Cutback Asphalt Paving

Pollutant Description Pollutant

Code Emission

Factor (LBS/BARRE L) Emission Factor

Referenc e

VOLATILE ORGANIC COMPOUNDS VOC 9.2 Emulsified Asphalt

VOLATILE ORGANIC COMPOUNDS VOC 88.00 Cutback Asphalt

### 24

f. References

1. U.S. Environmental Protection Agency, Emissions Inventory Improvement Program, Technical Report Series

, Volume III

– Area Source s, Chapter 17, “Asphalt Paving ,” prepared by Eastern Research Group, Inc. for EPA, Research Triangle Park, NC, 2001. Available at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html

.

2. Asphalt Institute, 2008 Asphalt Usage Survey for the United States and Canada

, http://www.asphaltinstitute.org/

.

3. U.S. Department of Transportation, Federal Highway Administration, Highway Statistics 2007, Office of Highway Policy Information, Washington, DC, 2008. Available at http://www.fhwa.dot.gov/policyinform ation/statistics/2007/

.

4. E.H. Pechan & Associates, Inc. “Documentation for the On

- road National Emission Inventory (NEI) for Base Years 1970

- 2002,” report prepared for U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Res earch Triangle Park, NC. January 2004.

### 25

AUTOMOTIVE AFTERMARKET PRODUCTS (SCC 2460400000)

The EPA has divided automotive consumer products into two different major categories: (1) detailing products, and (2) maintenance and repair products. It is often difficult to distinguish the automotive aftermarket product subcategories and formulations for distinct product types because category descriptions and designations may overlap. In some cases varying formulations may be due to the product form. There are a large number of individual VOCs in these products, including HAPs.

County

- level emissions were calculated using a per capita emission factor which was obtained from the Emission Inventory Improvement Program (EIIP) 1 

### and U.S. Bureau of the Cen sus 2007 population data 2 

### . The emission factor

represents pre

- control emission rates. A CE of 8.97 percent 3 

### and an RP of 48.6 percent 4 

### were applied to reflect the Federal Rule for consumer products. There are no point sources associated with this category.

Each county’s emissions are estimated per the sample calculations listed below.

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 5, Consu mer and Commercial Solvent Use,” Table 5.4

- 1, prepared for the Area Sources Committee, Emission Inventory Improvement Program, August 1996, available from http://www.epa.gov/t tn/chief/eiip/techreport/volume03/index.html , accessed March 2009

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

3 

### ERTAC Recommendation, Midwest RPO Inventory Comparability Project, revised June 2, 2009, accessed June 2009.

4 

### E.H. Pech an & Associates, Inc., Control Measure Development Support Analysis of Ozone Transport Commission

Model Rules , prepared for the Ozone Transport Commission, March 2001.

### 26

SAMPLE VOC EMISSION CALCULATIONS:

where:

Emission Factor = 1.36 lbs VOC/person/year 1



### Population = 1,219,210 (A llegheny County) 2


### Control Efficiency = 8.97% 3



### RP (Rule Penetration) = 48.6% 4



### RE (Rule Effectiveness) = 100%

### 27

AUTOMOTIVE REFINISHING (SCC 2401005000)

Automotive refinishing is the painting of worn or damaged automobiles, light trucks, and other vehicles. The coating of new cars, however, is considered in the point source inventory, and therefore not included in this inventory. County

level emissions were calculated using a per capita emission factor which was obtained from the ERTAC Area Inventory Comparability Project solvent working group 1 

### and U.S. Bure au of the Census 2007 population data 2 

### . The automotive refinishing VOC emission factor is 0.5 lb/person.

SAMPLE VOC EMISSION CALCULATIONS:

where:

Emission Factor =0.5 lbs VOC/person/year 1



### Population = 1,219,210 (Allegheny County) 2

1 

### ERTAC Area Inventory Comparability Project , revision August 14, 2009. Factor is deri ved from national numbers and so represents an average for the entire country; Freedonia 2007; accessed August 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Popula tion Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

### 28

### 29

BAKERIES (SCC 2302050000)

Bakery emissions, primarily ethanol, result from yeast fermentation during the baking process of bread and bakery products. Ethanol is emitted through a vent with any combustion product gases. Relevant NAICS codes for bakeries

are 311811 and 311812.

County

- level VOC emissions were calculated using an employment

- based emission factor and the number of NA ICS code 311811 and 311812 employees in each county. The number of employees in each county for 2007 was obtained

from County Business Patterns 1 

### T he Bakeries emission factor is 0.11 tons VOC/employee/year 2



### . Point source emissions, where present, were su btracted from these emission estimates.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Factor)(Employees)

where: Emission Factor = 0.11 tons VOC /employee/year Employees = 863 (Allegheny County)

1 

### U.S. Census Bureau, 2007 County Business Patt erns, http://factfinder.census.gov/servlet/GQRGeoSearchByListServlet?ds_name=CB0700A1&_lang=en&_ts=286

805349530

2 

### Lucy Adams, Radian Corporation, memorandum to SIP inventory preparers and EPA Regions, “ VOC Emissions from

Bakeries ,” prepared under contrac t to the Office of Air Quality Planning and Standards, U.S. Environmental Protection Agency (EPA Contract No. 68

- D0

- 0125), April 24, 1992.

### 30

= 94.93 tons VOC per year

### 31

COATINGS AND RELATED PRODUCTS (SCC 2460500000)

Aerosol spray paints and related products such as paint removers make up this consumer and commercial solvent product group. Other forms of coatings (besides aerosols ) are not included in this group, but are included under architectural or industrial coatings, or auto body refinishing. Aerosols spray paints contain VOCs that function as both solvents and propellants. The most commonly used propellants in aerosol paint s are propane, butane and isobutane.

Paint removers are classified as either application removers or immersion removers. Solvents such as methanol, ethanol and isopropanol are also used to enhance the action of the paint remover. Methylene chloride (53 percent) and methanol (41 percent) account for the majority of paint

- removing solvents consumed (Frost & Sulllivan, Inc., 1990).

County

- level emissions were calculated using a per capita emission factor which was obtained from the Emission Inventory Impro vement Program (EIIP) 1 

### and U.S. Bureau of the Census 2007 population data 2 

### . The emission factor

represents pre

- control emission rates. A CE of 0 percent 3 

### and an RP of 48.6 percent 4 

### were applied to reflect the Federal Rule for consumer products. There are no point sources associated with this category.

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapt er 5, Consumer and Commercial Solvent Use,” Table 5.4

- 1, prepared for the Area Sources Committee, Emission Inventory Improvement Program, August 1996, available from http://ww w.epa.gov/ttn/chief/eiip/techreport/volume03/index.html , accessed April 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

3 

### ERTAC Recommendation, Midwest RPO Inventory Comparability Project, revised June 2, 2009, accessed June 2009.

4 

### E.H. Pechan & Associates, Inc., Control Measure Development Support Analysis of Ozone Transport Commission

Model Rules , prepared for the Ozone Transport Commission, March 2001.

### 32

Each county’s emissions are estimated per the sample calculations listed below.

SAMPLE VOC EMISSION CALCULATIONS:

where:

Emission Factor = 0.95 lbs VOC/person/year 1


### Population = 1,219,210 (Allegheny County) 2


### Control Efficiency = 0% 3



### RP (Rule Penetration) = 48.6% 4


### RE (Rule Effectiveness) = 100%

### 33

COMMERCIAL COOKING

– (5 SCCs )

Source Category Description

Commercial Cooking emissions are for 5 source categories (2302002100, 2302002200, 2302003000, 2 302003100, and 2302003200) based on equipment type. Emissions estimates are for all types of meat cooked in a particular piece of equipment. Deep fat frying of french fries was also included. The following documentation was prepared by E.H.

Pechan and As sociates :

For this source category, the following SCCs were assigned:

Source

Classification Code SCC Level One SCC Level Two SCC Level Three SCC Level Four

2302002100 Industrial

Processes Food and Kindred

Products: SIC 20 Commercial Cooking

-

Charbroi ling Conveyorized
Charbroiling

2302002200 Industrial

Processes Food and Kindred

Products: SIC 20 Commercial Cooking

-

Charbroiling Under

- fired
Charbroiling

2302003000 Industrial

Processes Food and Kindred

Products: SIC 20 Commercial Cooking

-

Frying Deep Fat F r ying

2302003100 Industrial

Processes Food and Kindred

Products: SIC 20 Commercial Cooking

-

Frying Flat Griddle Frying

2302003200 Industrial

Processes Food and Kindred

Products: SIC 20 Commercial Cooking

-

Frying Clamshell Griddle
Frying

### 34

Acti vity Data

Activity data was collected from the US Census Bureau’s county level population estimates for July 1, 200 7

. 1



### Control Factors

No controls were assumed for this category.

Emission Factors

Emission factors were developed and reviewed by an ER TAC advisory panel composed of state and EPA personnel (Contact: Roy Huntley, huntley.roy@epa.gov). They were created by taking 2002 emissions in the NEI and dividing by the 2002 population to develop per capita emission factors. These emission factors a re listed in Table 1.

Sample Calculations

Emissions are calculated for each county using emission factors and activity as:

E x,p 

### = A

x 

### × EF x,p

1 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

### 35

where:

E

x,p 

### = annual emissions for category x and pollutant p ; A

x 

### = population data associated with category x ;
EF x,p 

### = emission factor for category x and pollutant p

.

Example:

Using conveyorized charbroiling in Allegheny County, PA as an example:

According to the US Census Bureau, population on July 1, 2007 is 1,21 9

, 210

The emission factor for VOC is 0.01205 lb/person

E V O C 

### = 1, 219,210 people × 0.01205 6 lb VOC / person

= 14,6 98

. 81 lb VOC or 7.3 4 94 ton VOC

Table 1: Commercial Cooking Emission Factors Developed by ERTAC

SCC SCC description Pollutant

Code Factor

Numeric

Value Factor Unit

Numerator Fa ctor Unit

Denominator

2302002100 Conveyorized Charbroiling 100027 1.326E

- 05 LB EACH

2302002200 Under

- fired Charbroiling 100027 6.385E

- 05 LB EACH

2302002100 Conveyorized Charbroiling 100414 7.668E

- 05 LB EACH

2302002200 Under

- fired Charbroiling 100414 5. 312E

- 04 LB EACH

2302002100 Conveyorized Charbroiling 100425 3.730E

- 04 LB EACH

2302002200 Under

- fired Charbroiling 100425 2.747E

- 03 LB EACH

### 36

SCC SCC description Pollutant

Code Factor

Numeric

Value Factor Unit

Numerator Fa ctor Unit

Denominator

2302002100 Conveyorized Charbroiling 106445 7.003E

- 06 LB EACH

2302002200 Under

- fired Charbroiling 106445 4.214E

- 0 5 LB EACH

2302002100 Conveyorized Charbroiling 107062 2.682E

- 05 LB EACH

2302002200 Under

- fired Charbroiling 107062 2.183E

- 04 LB EACH

2302002100 Conveyorized Charbroiling 108883 3.597E

- 04 LB EACH

2302002200 Under

- fired Charbroiling 108883 2.496E

- 03 LB E ACH

2302002100 Conveyorized Charbroiling 108952 4.421E

- 05 LB EACH

2302002200 Under

- fired Charbroiling 108952 3.063E

- 04 LB EACH

2302002100 Conveyorized Charbroiling 120127 5.943E

- 06 LB EACH

2302002200 Under

- fired Charbroiling 120127 1.914E

- 05 LB EACH

2 302003100 Flat Griddle Frying 120127 8.487E

- 06 LB EACH

2302002100 Conveyorized Charbroiling 123386 1.466E

- 04 LB EACH

2302002200 Under

- fired Charbroiling 123386 1.113E

- 03 LB EACH

2302002100 Conveyorized Charbroiling 129000 8.852E

- 06 LB EACH

2302002200 U nder

- fired Charbroiling 129000 3.587E

- 05 LB EACH

2302003100 Flat Griddle Frying 129000 3.139E

- 05 LB EACH

2302002100 Conveyorized Charbroiling 130498292 2.709E

- 04 LB EACH

2302002200 Under

- fired Charbroiling 130498292 7.911E

- 04 LB EACH

2302003100 Flat Gr iddle Frying 130498292 2.589E

- 04 LB EACH

2302002100 Conveyorized Charbroiling 1330207 7.799E

- 07 LB EACH

2302002200 Under

- fired Charbroiling 1330207 1.560E

- 06 LB EACH

2302002100 Conveyorized Charbroiling 191242 1.309E

- 06 LB EACH

2302002200 Under

- fired C harbroiling 191242 2.542E

- 06 LB EACH

### 37

SCC SCC description Pollutant

Code Factor

Numeric

Value Factor Unit

Numerator Fa ctor Unit

Denominator

2302002100 Conveyorized Charbroiling 193395 1.278E

- 06 LB EACH

2302002200 Under

- fired Charbroiling 193395 1.723E

- 06 LB EACH

2302002100 Conveyorized Charbroiling 206440 6.484E

- 06 LB EACH

2302002200 Under

- fired Charbro iling 206440 2.638E

- 05 LB EACH

2302003100 Flat Griddle Frying 206440 2.371E

- 05 LB EACH

2302002100 Conveyorized Charbroiling 208968 2.476E

- 05 LB EACH

2302002200 Under

- fired Charbroiling 208968 6.372E

- 05 LB EACH

2302003100 Flat Griddle Frying 208968 4.88 6E

- 06 LB EACH

2302002100 Conveyorized Charbroiling 50000 7.796E

- 04 LB EACH

2302002200 Under

- fired Charbroiling 50000 5.876E

- 03 LB EACH

2302002100 Conveyorized Charbroiling 50328 1.450E

- 06 LB EACH

2302002200 Under

- fired Charbroiling 50328 2.332E

- 06 LB E ACH

2302003100 Flat Griddle Frying 50328 1.154E

- 06 LB EACH

2302002100 Conveyorized Charbroiling 56553 1.772E

- 06 LB EACH

2302002200 Under

- fired Charbroiling 56553 5.432E

- 06 LB EACH

2302003100 Flat Griddle Frying 56553 2.918E

- 06 LB EACH

2302002100 Conve yorized Charbroiling 71432 1.006E

- 03 LB EACH

2302002200 Under

- fired Charbroiling 71432 7.351E

- 03 LB EACH

2302002100 Conveyorized Charbroiling 75070 5.562E

- 04 LB EACH

2302002200 Under

- fired Charbroiling 75070 4.242E

- 03 LB EACH

2302002100 Conveyorized Ch arbroiling 83329 1.613E

- 06 LB EACH

2302002200 Under

- fired Charbroiling 83329 2.776E

- 06 LB EACH

2302003100 Flat Griddle Frying 83329 1.357E

- 06 LB EACH

### 38

SCC SCC description Pollutant

Code Factor

Numeric

Value Factor Unit

Numerator Fa ctor Unit

Denominator

2302002100 Conveyorized Charbroiling 84742 4.140E

- 06 LB EACH

2302002200 Under

- fired Charbroiling 84742 2.413E

- 05 LB EACH

2302002100 Conveyorized Charbroiling 85018 2.771E

- 05 LB EACH

2302002200 Under

- fired Charbroiling 85018 8.647E

- 05 LB EACH

2302003100 Flat Griddle Frying 85018 6.021E

- 05 LB EACH

2302002100 Conveyorized Charbroiling 86737 6.408E

- 06 LB E ACH

2302002200 Under

- fired Charbroiling 86737 2.003E

- 05 LB EACH

2302003100 Flat Griddle Frying 86737 6.484E

- 06 LB EACH

2302002100 Conveyorized Charbroiling 91203 1.135E

- 04 LB EACH

2302002200 Under

- fired Charbroiling 91203 2.649E

- 04 LB EACH

2302003100 Flat Griddle Frying 91203 1.308E

- 04 LB EACH

2302002100 Conveyorized Charbroiling 92524 1.271E

- 05 LB EACH

2302002200 Under

- fired Charbroiling 92524 2.613E

- 05 LB EACH

2302003100 Flat Griddle Frying 92524 2.788E

- 06 LB EACH

2302002100 Conveyorized Charbroi ling 95476 6.167E

- 05 LB EACH

2302002200 Under

- fired Charbroiling 95476 4.387E

- 04 LB EACH

2302002100 Conveyorized Charbroiling 95487 3.482E

- 06 LB EACH

2302002200 Under

- fired Charbroiling 95487 2.111E

- 05 LB EACH

2302002100 Conveyorized Charbroiling 98862 4.991E

- 06 LB EACH

2302002200 Under

- fired Charbroiling 98862 3.250E

- 05 LB EACH

2302002100 Conveyorized Charbroiling CO 4.245E

- 02 LB EACH

2302002200 Under

- fired Charbroiling CO 1.350E

- 01 LB EACH

2302003000 Deep Fat Flying CO 0.000E+00 LB EACH

### 39

SCC SCC description Pollutant

Code Factor

Numeric

Value Factor Unit

Numerator Fa ctor Unit

Denominator

230200310 0 Flat Griddle Frying CO 1.269E

- 02 LB EACH

2302003200 Clamshell Griddle Frying CO 0.000E+00 LB EACH

2302002200 Under

- fired Charbroiling NOX 0.000E+00 LB EACH

2302002100 Conveyorized Charbroiling PM10

- FIL 1.648E

- 04 LB EACH

2302002200 Under

- fired Charbro iling PM10

- FIL 1.048E

- 03 LB EACH

2302003100 Flat Griddle Frying PM10

- FIL 2.727E

- 04 LB EACH

2302003200 Clamshell Griddle Frying PM10

- FIL 1.981E

- 05 LB EACH

2302002100 Conveyorized Charbroiling PM10

- PRI 4.980E

- 02 LB EACH

2302002200 Under

- fired Charbroilin g PM10

- PRI 3.528E

- 01 LB EACH

2302003000 Deep Fat Flying PM10

- PRI 0.000E+00 LB EACH

2302003100 Flat Griddle Frying PM10

- PRI 1.031E

- 01 LB EACH

2302003200 Clamshell Griddle Frying PM10

- PRI 6.994E

- 03 LB EACH

2302002100 Conveyorized Charbroiling PM25

- FIL 1. 597E

- 04 LB EACH

2302002200 Under

- fired Charbroiling PM25

- FIL 1.013E

- 03 LB EACH

2302003100 Flat Griddle Frying PM25

- FIL 2.074E

- 04 LB EACH

2302003200 Clamshell Griddle Frying PM25

- FIL 1.685E

- 05 LB EACH

2302002100 Conveyorized Charbroiling PM25

- PRI 4.827E

- 02 LB EACH

2302002200 Under

- fired Charbroiling PM25

- PRI 3.415E

- 01 LB EACH

2302003000 Deep Fat Flying PM25

- PRI 0.000E+00 LB EACH

2302003100 Flat Griddle Frying PM25

- PRI 7.834E

- 02 LB EACH

2302003200 Clamshell Griddle Frying PM25

- PRI 5.910E

- 03 LB EACH

2 302002200 Under

- fired Charbroiling SO2 0.000E+00 LB EACH

2302002100 Conveyorized Charbroiling VOC 1.206E

- 02 LB EACH

### 40

SCC SCC description Pollutant

Code Factor

Numeric

Value Factor Unit

Numerator Fa ctor Unit

Denominator

2302002200 Under

- fired Charbroiling VOC 4.148E

- 02 LB EACH

2302003000 Deep Fat Flying VOC 1.261E

- 02 LB EACH

2302003100 Flat Griddle Fryin g VOC 5.943E

- 03 LB EACH

2302003200 Clamshell Griddle Frying VOC 2.316E

- 04 LB EACH

### 41

CONSTRUCTION DUST ( 3 SCCs: SCC 2 311010000 , SCC 2 311020000 , SCC 2311030000 )

RESIDENTIAL CONSTRUCTION

Emissions from residential construction activity are a function of the acreage disturbed and volume of soil excavated for residential construction. Residential construction activity is developed from data obtained from the U.S. Department of Commerce (DOC)’s Bureau of the Census

. The following documenta tion was prepared by E.H. Pechan

and Associates with footnotes located at the end of this section :

For this source category, the following SCC was assigned:

Source

Classification

Code SCC Level One SCC Level Two SCC Level

Three SCC Level

Four

23110100 00 Industrial

Processes Construction:

SIC 15

- 17 General Building

Construction Total

Activity data:

There are two activity calculations performed for this SCC, acres of surface soil disturbed and volume of soil removed

for basements

.

Surface s oil dis turbed



### The US Census Bureau has 2008 data for Housing Starts

- New Privately Owned Housing Units Started 1 

### which provides regional level housing starts based on the groupings of 1 unit, 2

- 4 units, 5 or more units. A consultation with

the Census Bureau in 20 02 gave a breakdown of approximately 1/3 of the housing starts being for 2 unit structures, and 2/3 being for 3 and 4 unit structures. The 2

- 4 unit category was then divided into 2

- units, and 3

- 4 units based on this

ratio.

### 42

To get the number of structures for each grouping, the 1unit category was divided by 1, 2 unit category was divided by 2, and the 3

- 4 unit category was divided by 3.5. The 5 or more unit category listed may be made up of more than one

structure. New Privately Owned Housing Units Authoriz ed Unadjusted Units 2 

### gives a conversion factor to determine the ratio of structures to units in the 5 or more unit category. For example if a county has one 40unit apartment building, the ratio would be 40/1. If there are 5 different 8 unit buildings in th e same project, the ratio would be 40/5. Structures started by category are then calculated at a regional level. The table Annual Housing Units Authorized by Building Permit

3 

### has 2007 data at the county level to allocate regional housing starts to the coun ty level. This results in county level housing starts by number of units. The following surface areas were assumed disturbed for each unit type:



### Table 1: Surface Soil removed per unit type

1

- Unit 1/4 acre/structure

2

- Unit 1/3 acre/structure Apartment 1 /2 acre/structure

The 3

- 4 unit category was considered to be an apartment. Multiplication of housing starts to soil removed results in number of acres disturbed for each unit category.

Basement soil removal



### To calculate basement soil removal, 2007 Characteristics of New Houses 4 

### is used to estimate the percentage of 1 unit structures that have a basement (on the regional level). The county level estimate of number of 1 unit starts is multiplied by the percent of 1 unit houses in the region that have a basement to get the number of basements in a county. Basement volume is calculated by assuming a 2000 square foot house has a basement dug to a depth of 8 feet (making 16

, 00 0 ft 3 

### per basement). An additional 10% is added for peripheral dirt bringing the total to 17

, 60 0 ft 3 

### per basement.

### 43

Emission Factors:

Initial PM 10 

### emissions from construction of single family, two family, and apartments structures are calculated using the emission factors given in Table 2. The duration of construction activit y for houses is assumed to be 6 months and the duration of construction for apartments is assumed to be 12 months.

Table 2. Emission Factors for Residential Construction

Type of Structure Emission Factor Duration of
Construction

Apartments 0.11 to ns PM10/acre

- month 12 months

2

- Unit Structures 0.032 tons PM10/acre

- month 6 months

1

- Unit Structures w/o

Basements 0.032 tons PM10/acre

- month 6 months

1

- unit Structures with

Basements 0.011 tons PM10/acre

- month 6 months

0.059 tons PM10/1 000 cubic yards

Regional variances in construction emissions are corre cted using soil moisture level and silt content. These correction parameters are applied to initial PM 10 

### emissions from residential construction to develop the final emissions inven tory. To account for the soil moisture level, the PM 10 

### emissions are weighted using the 30

- year average precipitation

evaporation (PE) values from Thornthwaite’s PE Index. Average precipitation evaporation values for each State were

estimated based on PE values for specific climatic divisions within a State. These values range from 7 to 41.

### 44

To account for the silt content, thePM 10 

### emissions are weighted using average silt content for each county. A data base containing county

- level dry silt values was complied. These values were derived by applying a correction factor developed by the California Air Resources Board to convert wet silt values to dry silt values. 5


### The equation for PM 10 

### emissions corrected for soil moisture and silt content

is:

where:

Corrected E PM10 

### = PM 10 

### emissions corrected for soil moisture and silt content,

PE = precipitation

- evaporation value for each State,

S = % dry silt content in soil for area being inventoried.

Once PM 10 

### adjustments h ave been made, PM 25 

### emissions are set to 1 0% of PM 10



### Example Calculation:

PM 10 

### Emissions = ∑( A unit 

### x T construction 

### x EF unit 

### ) x Adj PM 

### Where A unit 

### = HS Unit 

### x SM Unit 

### HS Unit 

### = Regional Housing Starts x (county building permits/Regional building permits)

SM Unit 

### = Area or volume of soil moved for the given unit type

T Construction 

### = Cons truction time (in months) for given unit type

EF Unit 

### = Unadjusted emission factor for PM 10 

### for the given unit type Adj PM 

### = PM Adjustment factor

### 45

References:

1. New Privately Owned Housing Units Started for 2008 ( Not seasonally adjusted)

http://www.census.gov/const/startsua.pdf



### 2. Table 2au. New Privately Owned Housing Units Authorized Unadjusted Units for Regions, Divisions, and

States http://www.census.gov/const/C40/Table2/tb2u2007.txt



### 3. Annual Housing Units Authorized by Building Permits CO2007A, purchased from US Department of Census

4. Type of Foundation in New One

- Family Houses Completed

, http://www.census.gov/const/C25Ann/sftotalfoundation.pdf

### 46

NON

- RESIDENTIAL CONSTRUCTION

Emissions from non

- residential construction activity are a function of the acreage disturbed for non

- residential

construct ion. The following documentation was prepared by E.H. Pechan and Associates with footnotes located at the

end of this section :

For this source category, the following SCC was assigned:

Source

Classification

Code SCC Level One SCC Level Two SCC Level

Th ree SCC Level

Four

2311020000 Industrial

Processes Construction:

SIC 15

- 17 Heavy

Construction Total

Activity Data:

Annual Value of Construction Put in Place in the U.S 1 

### has the 2008 National Value of Non

- residential construction.

The national value of non

- residential construction put in place (in millions of dollars) was allocated to counties using

county

- level non

- residential construction (NAICS Code 2362) employment data obtained from County Business

Patterns 2 

### (CBP) . Because some counties employme nt data was withheld due to privacy concerns, the following procedure was adopted:

1. State totals for the known county level employees was subtracted from the number of employees reported in the

state level version of CBP. This results in the total number o f withheld employees in the state.

2. A starting guess of the midpoint of the range code was used (so for instance in the 1

- 19 employees range, a
guess of 10 employees would be used) and a state total of the withheld counties was computed.

### 47

3. A ratio of guessed employees (Step 2) to withheld employees (Step 1) was then used to adjust the county level
guesses up or down so the state total of adjusted guesses should match state total of withheld employees (Step

1)

In 1999 a figure of 2 acres/$10 6 

### was developed. The Bureau of Labor Statistics Producer Price Index 3 

### lists costs of the construction industry from 1999

- 2007. 2007 acres per $10 6 

### = 1999 acres per $10 6 

### x (1999 PPI / 2007 PPI) =2 acres/$10 6 

### (132.9 / 204.3) = 1.301 acres per $10 6



### Emission Factors:

Initi al PM 10 

### emissions from construction of non

- residential buildings are calculated using an em ission factor of 0.19

tons/acre

- month. The duration of construction activity for non

- residential construction is assumed to be 11 months. Regional variances in cons truction emissions are corre cted using soil moisture level and silt content. These correction parameters are applied to initial PM 10 

### emissions from non

- residential construction to develop the final emissions inventory.

To account for the soil moisture lev el, the PM 10 

### emissions are weighted using the 30

- year average precipitation

evaporation (PE) values from Thornthwaite’s PE Index. Average precipitation evaporation values for each State were estimated based on PE values for specific climatic divisions wit hin a State. These values range from 7 to 41. To account for the silt content, the PM 10 

### emissions are weighted using average silt content for each county. A data base containing county

- level dry silt values was complied. These values were derived by a pplying a correction factor developed by the California Air Resources Board to convert wet silt values to dry silt values. 7


### The equation for PM 10 

### emissions corrected for soil moisture and silt content is:

### 48

where:

Correc ted E PM10 

### = PM 10 

### emissions corrected for soil moisture and silt content,

PE = precipitation

- evaporation value for each State,

S = % dry silt content in soil for area being inventoried.

Once PM 10 

### adjustments have been made, PM 25 

### emissions are set t o 1 0% of PM 10



### Example Calculation:

Emissions PM10 

### = N Spending 

### x (Emp county 

### / Emp National 

### ) x Apd x EF Adj 

### x M

Where N Spending 

### = National spending Emp county 

### = county level employment data Emp National 

### = National level employment data Apd = Acres per million dollars

EF Adj 

### = Adjusted PM10 emission factor M = duration of construction activity

References:

1. Annual Value of Construction Put in Place: http://www.census.gov/const/www/ototpage.html

2. Coun ty Business Patterns: http://www.census.gov/econ/cbp/index.html

3. Bureau of Labor Statistics: http://www.bls.gov/data/ 

### Table BMNR

### 49

ROAD CONSTRUCTION

E missions from road construction activity are a function of the acreage disturbed for road construction. Road construction activity is developed from data obtained from the Federal Highway Administration (FHWA). The following documentation was prepared b y E.H. Pechan and Associates with footnotes located at the end of this

section :

For this category, the following SCC was assigned:

Source

Classification

Code SCC Level One SCC Level Two SCC Level

Three SCC Level

Four

2311030000 Industrial

Processes Con struction: SIC

15

- 17 Road Construction Total



### Activity Data:

The Federal Highway Administration has Highway Statistics, Section IV

- Highway Finance, Table SF

- 12A, State Highway Agency Capital Outlay 1 

### for 2006 which outlines spending by state in sever al different categories. For this SCC, the following columns are used: New Construction, Relocation, Added Capacity, Major Widening, and Minor Widening. These columns are also differentiated according to the following six classifications:

1. Interstate, urban

2. Interstate, rural

3. Other arterial, urban

4. Other arterial, rural

5. Collectors, urban

6. Collectors, rural

### 50

The State expenditure data are then converted to new miles of road constructed using $/mile conversions obtained from

the North Carolin a Department of Transportation (NCDOT) in 2000. A conversion of $4 million/mile is applied to the interstate expenditures. For expenditures on other arterial and collectors, a conversion factor of $1.9 million/mile is applied, which corresponds to all ot her projects.

The new miles of road constructed are used to estimate the acreage disturbed due to road construction. The total area disturbed in each state is calculated by converting the new miles of road constructed to acres using an acres
disturbed/mi le conversion factor for each road type as given in the table below:

Table 1: Spending per M ile and Acres D isturbed per M ile by H ighway T ype



### Road Type Thousand Dollars per

mile Acres

Disturbed per

mile

Urban Areas, Interstate 4000 15.2

Rural Areas, Interstate 4000 15.2

Urban Areas, Other Arterials 1900 15.2

Rural Areas, Other Arterials 1900 12.7

Urban Areas, Collectors 1900 9.8

Rural Areas, Collectors 1900 7.9

### 51

Residential building starts 2 

### are used to allocate the state

- level acres disturbed by road construction to the county. A ratio of the number of building starts in each county to the total number of building starts in each state is applied to the

state

- level acres disturbed to estimate the total number of acres disturbed by road construc tion in each county.

Emission Factors:

Initial PM 10 

### emissions from construction of roads are calculated using an em ission factor of 0.42 tons/acre

- month. Since most road construction consists of grading and leveling of land, the higher emission factor m ore accurately reflects the high level of cut and fill activity that occurs at road construction sites. The duration of construction activit y for road construction is assumed to be 12 months. Regional variances in construction emissions are corre cted using soil moisture level and silt content . These correction parameters are applied to initial PM 10 

### emissions from road construction to develop the final emissions inventory. To account for the soil moisture level, the PM 10 

### emissions are weighted using the 30

- year average precipitation

evaporation (PE) values from Thornthwaite’s PE Index. Average precipitation evaporation values for each State were estimated based on PE values for specific climatic divisions within a State. These values range from 7 to 41.

T o account for the silt content, thePM 10 

### emissions are weighted using average silt content for each county. A data base containing county

- level dry silt values was complied. These values were derived by applying a correction factor developed by the Califo rnia Air Resources Board to convert wet silt values to dry silt values. The equation for PM 10 

### emissions corrected for soil moisture and silt content is:

where: Corrected E PM10 

### = PM 10 

### emissions corrected for soil moistu re and silt content,

PE = precipitation

- evaporation value for each State,

S = % dry silt content in soil for area being inventoried.

Once PM 10 

### adjustments have been made, PM 25 

### emissions are set to 1 0% of PM 10

### 52

Emission Calculation:

Emissions PM10 

### = ∑(HD rt 

### x MC rt 

### x AC rt 

### ) x (HS County 

### / HS State 

### ) x EF Adj 

### x M
Where HD rt 

### = Highway Spending for a specific road type

MC rt 

### = Mileage conversion for a specific road type

AC rt 

### = Acreage conversion for a specific road type

HS County 

### = Housing Starts in a given count y HS State 

### = Housing Starts in a given State

EF Adj 

### = Adjusted PM10 Emission Factor M = duration of construction activity

References:

1. 2006 Highway Spending : http://www.fhwa. dot.gov/policy/ohim/hs06/xls/sf12a.xls

2. Annual Housing Units Authorized by Building Permits CO2007A, purchased from US Department of Census

.

### 53

DEGREASING (4 SCCs: SCC 2415360000, SCC 2415300000, SCC 2415230000, SCC 2415200000)

(Auto Repair (Cold Cleaning ) SCC 2415360000, Manufacturing (Cold Cleaning) SCC 2415300000, Electronics (Vapor/In

- Line) SCC 2415230000, Other (Vapor/In

- Line) SCC 2415200000)

Surface cleaning, also known as “degreasing”, includes the solvent cleaning or conditioning of metal surfaces and parts, fabricated plastics, electronic and electrical components and other nonporous substrates. These cleaning processes are designed to remove foreign material, such as oils, grease, waxes and moisture, usually in the preparation for further

treatme nt, such as painting, electroplating, galvanizing, anodizing or applying conversion coatings. Three basic types of surface cleaning operations are currently used: cold cleaning, vapor cleaning, and in

- line or conveyorized cleaning, which

can be either a co ld or vapor cleaning process. VOC emission results from the evaporation of solvents used in these

processes.

Cold cleaning is a batch process in which solvents are applied at room temperature or slightly heated. Parts are immersed in a solvent, usually mi neral spirits. Parts too large for immersion may be sprayed or wiped with a solvent. The primary cold cleaning application is cleaning of tools or metal parts at service and automotive repair stations and manufacturing facilities. Cold cleaning may incorpo rate covers or freeboards to limit the evaporative loss of solvents.

In

- line cleaners use automated load systems (typically conveyors) to maintain a continuous feed to the cleaning unit. These units use both cold and vapor

- cleaning methods as described ab ove, with the majority being halogenated solvent cleaning systems. These units are used for large

- scale operations and are usually enclosed except to the conveyor inlet or exit. A common application of in

- line cleaners is cleaning printed circuit boards fo r the electronic and electrical component industries.

The Emission Inventory Improvement Program (EIIP) developed the following population

- based methods for estimating degreasing emissions.

### 54

Activity data was collected from the US Census Bureau’s county l evel population estimates for July 1, 2007. 1 

### Point source emissions, where present, were subtracted from these emission estimates.

SAMPLE VOC EMISSION CALCULATIONS:

where: Auto Repair (Cold Cleaning) VOC Emission Factor = 2.5 lb s VOC/person/year 1


### Manufacturing (Cold Cleaning) VOC Emission Factor = 1.1 lbs VOC/person/year 1



### Electronics and Electrical (Vapor/In

- Line) VOC Emission Factor = 0.21 lbs VOC/person/year 1



### Other (Vapor/In

- Line) VOC Emission Factor = 0.49 lbs VOC/person/year 1


### Population = 1,219,210 (Allegheny County ) 2


### Auto Repair Cold Cleaning CE (Control Efficiency) = 66% 3


### Manufacturing Cold Cleaning CE (Control Efficiency) = 66% 3



### Electronics Vapor/In

- Line CE (Control Efficiency) = 63 % 3



### Other Vapor/In

- Line CE (Control Efficiency) = 63% 3



### All Categories RP (Rule Penetration) = 100% All Categories RE (Rule Effectiveness) = 80%

1 

### Eastern R esearch Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 6,Solvent Cleaning,” Table 6.5

- 2 (EPA 1991), prepared for the Area Sources Committee, Emission Inventory Improvement Program, Septembert 1997.

2 

### 2 U .S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.g ov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

3 

### 25 Pa. Code Section 129.63, “Degreas ing Operations,” available from http://www.pacode.com/secure/data/025/chapter129/s129.63.html

### 55

Allegheny County Auto Repair (Cold Cleaning) VOC Emissions Calculation :

### 56

DRY CLEANERS (SCC 2420000 000 )

Three types of dry cleaning operations ar e used: coin

- operated facilities using perchloroethylene (perc); commercial/industrial facilities using perc; and commercial/industrial facilities using VOC solvents. Each county’s emissions were estimated per the sample calculations below using an emplo yment

- based emission

factor 1 

### and the number of 2006 employees in NAICS codes 81231X, 81232X, and 81233X.

. The number of Dry Cleaning employees was obtained from County Business Patterns 2 

### by E. H. Pechan and Associates who also performed midpoint calculatio ns on any ranges obtained

. E ach county’s emissions were estimated per the sample calculations

below.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Fa ctor)(Number of Employees)

where:

Emission Factor = 467 lbs VOC/ employee/ year 1


### Employees = 2002 (2006 Allegheny County) 2

1 

### ERTAC Recommended, Freedonia 2007, accessed October 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment mid point and adjustment factor

.

### 57

### 58

E LECTRONIC AND OTHER ELECTRIC COATINGS (SCC 2401065000)

The VOC emissions from this source c ategory result from the evaporation of the solvent used in the insulation coatings applied to wire and cable and electronic parts. The emissions for each county were calculated using an employment

based emission factor 1 

### and the number of employees in NAICS codes 331319, 331422, 331491, 335929, 335921 and

335311

. The number of Electrical Appliance employees was obtained from County Business Patterns 2 

### and the midpoints were calculated by E. H. Pechan and Associates where obtained

. E ach county’s emissions wer e estimated per the sample calculations below.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Factor)(Number of Employees)

where:

Emission Factor = 24.7 lbs VOC/employee/year 1


### Employees = 60 (Alleghe ny County) 2

1 

### ERTAC Area Inventory Comparability Project solvent working group, August 8, 2009, (version 4) .xls, accessed September 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of e mployment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment midpoint and adjustment factor

.

### 59

### 60

FACTORY FINISHED WOOD (SCC 2401015000)

The VOC emissions from this source category result from the evaporation of the solvent used in the gluing and coat ing process. The emissions for each county were calculated using an employment

- based emission factor 1 

### and employees

number s in NAICS codes 321 XX 2



### . The number of employees in each county was collected from County Business patterns and the adjusted employe e numbers w ere prepared by Pechan & Associates using employment midpoint and adjustment factors for any ranges obtained

. Point source emissions, where present, were subtracted from these emission

estimates.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Em issions = (Emission Factor)(Number of Employees)

where: Emission Factor = 43 lbs VOC/employee/year 1


### Employees =270 (Allegheny County) 2

1 

### ERTAC Area Inventory Comparability Project solvent working group , August 8, 2009, (version 4).xls, accessed September 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the rang e, and calculated final activity data using the employment midpoint and adjustment factor

.

### 61

F IFRA

- REGULATED PRODUCTS (S CC 2460800000)

Pesticides defined by FIFRA include substances or mixtures that are used to prevent, destroy, repel, or mitigate pests, as well as substances used as plant regulators, defoliators, and desiccants. Consumer pesticides are used in the home and garden, as well as in commercial and governmental applications. Disinfectants and antimicrobial products are included. Household uses include pet care products, disinfectants and insecticides. All consumer and commercial pesticides contain VOCs. Ae rosol and liquid sprays contain VOCs as solvents, usually ethanol and isobutane. Pesticides products can be grouped according to their target pest, but should also be grouped according to their form (solid, liquid or aerosol) when considering control meas ures.

County

- level emissions were calculated using a per capita emission factor which was obtained from the Emission Inventory Improvement Program (EIIP) 1 

### and U.S. Bureau of the Census 2007 population data 2 

### . The emission factor

represents pre

- control emis sion rates. A CE of 20 percent 3 

### and an RP of 48.6 percent 4 

### were applied to reflect the Federal Rule for consumer products. There are no point sources associated with this category.

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 5, Consumer and Commercial Solvent Use,” Table 5.4

- 1, prepared for the Area Sources Committee, Emission Inventory Improvement Program, August 1996, available from http://www.epa.gov/ttn/chief/eiip/techreport/volume03/inde x.html , accessed March 2009

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

3 

### ERTAC Recommendation, Midwest RPO Inventory Comparability Project, revised June 2, 2009, accessed June 2009.

4 

### E.H. Pechan & Associates, Inc., Control Measu re Development Support Analysis of Ozone Transport Commission

Model Rules , prepared for the Ozone Transport Commission, March 2001.

### 62

Each county’s emissions are estimated per the sample calculations listed be low.

SAMPLE VOC EMISSION CALCULATIONS:

where:

E mission Factor = 1.78 lbs per person/year 1


### Population = 1,219,210 (Allegheny County) 2


### Control Efficiency = 20% 3



### RP (Rule Penetrat ion) = 48.6% 4


### RE (Rule Effectiveness) = 100%

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 5, Consumer and Commercial Solvent Use,” Table 5.4

- 1, prepared for the Area Sources Committee, Emission Inventory Improvement Program, August 1996, available from http://www.epa. gov/ttn/chief/eiip/techreport/volume03/index.html , accessed March 2009

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

3 

### ERTAC Recommendation, Midwest RPO Inventory Comparability Project, revised June 2, 2009, accessed June 2009.

4 

### E.H. Pechan & Associates, Inc., Control Measure Development Support Analysis of Ozone Transport Commission

Model Rules , prepared for the Ozone Transport Commission, March 2001.

### 63

### 64

FUEL COMBUSTION

– COMMERCIAL/INSTITUTIONAL ( 7 SCCs: SCC 2103001000, SCC 2103002000, SCC 2103004000, SCC 2103005000, SCC 210300600 0, SCC 2103007000, SCC 2103011000)

Source Description and Classification

This sub

- sector covers emissions from fuel combustion at stationary non

- point sources within the

commercial/institutional sector. These documentation and fuel combustion emissions were calculated by E. H. Pechan

and Associates. References are listed at the end of the Fuel Combustion

– Commercial/Institutional section. The following are the fuel types that will be included in the inventory for the commercial/institutional non

- point source sub

sector: anthracite coal, bituminous/sub

- bituminous coal, distillate oil, residual oil, natural gas, LPG, wood, and kerosene. Motor gasoline is not included as a non

- point source because it is expected that all non

- point gasoline

combustion in this sector is included in the non

- road inventory.

The approach to be used in calculating emissions for commercial/institutional fuel combustion is to first develop state

level fuel consumption estimates, then to allocate these to the county

- level, and t hen to multiply the resulting county

level consumption estimates by appropriate emission factors.

Source Classification. The non

- point SCCs associated with commercial/institutional fuel combustion are displayed in

Table 1.

Table 1. Non

- point Source Co mmercial/Institutional Fuel Combustion SCCs



### SCC SCC Level 1 SCC Level 2 SCC Level 3 SCC Level 4

2103001000 Stationary Source Fuel Combustion Commercial/Institutional Anthracite Coal Total: All Boiler Types

2103002000 Stationary Source Fuel Combustion Co mmercial/Institutional Bituminous/Sub

- bituminous
Coal Total: All Boiler Types

2103004000 Stationary Source Fuel Combustion Commercial/Institutional Distillate Oil Total: Boilers and IC Engines

2103005000 Stationary Source Fuel Combustion Commercial/Inst itutional Residual Oil Total: All Boiler Types

2103006000 Stationary Source Fuel Combustion Commercial/Institutional Natural Gas Total: Boilers and IC Engines

### 65

SCC SCC Level 1 SCC Level 2 SCC Level 3 SCC Level 4

2103007000 Stationary Source Fuel Combustion Commercial/Institutional Liquefied Petroleum Ga s (LPG) Total: All Combustor Types

2103008000 Stationary Source Fuel Combustion Commercial/Institutional Wood Total: All Boiler Types

2103011000 Stationary Source Fuel Combustion Commercial/Institutional Kerosene Total: All Combustor Types



### Activity D ata

Table 2 summarizes this sector’s non

- point source activity data, units, and data source. Total state

- level commercial sector energy consumption data are available from the Energy Information Administration (EIA)’s State Energy Data System (SEDS), and were used for most source categories (EIA, 200 7 a). However, as documented below, a number of adjustments were made to the SEDS data, and a separate EIA data source was used for distillate oil. Year 2006 SEDS

data were used to estimate 200 7 emissions bec ause these were the latest year consumption data available at the time this work was performed in 2009.

Table 2. Non

- point Source Commercial/Institutional Fuel Combustion Activity Data

SCC SCC Level 1 SCC Level 2 SCC Level 3 SCC Level 4 Activity Activ ity

Data
Source

2103001000 Stationary Source Fuel Combustion Commercial/Institutional Anthracite Coal Total: All Boiler Types Thousand short tons
of coal consumed EIA’s SEDS a

2103002000 Stationary Source Fuel Combustion Commercial/Institutional Bituminou s/
Sub

- bituminous Coal Total: All Boiler Types Thousand short tons
of coal consumed EIA’s SEDS a

2103004000 Stationary Source Fuel Combustion Commercial/Institutional Distillate Oil Total: All Boiler Types Thousand barrels of

distillate oil consumed EIA’s Fuel Oil

and Kerosene
Sales a

2103005000 Stationary Source Fuel Combustion Commercial/Institutional Residual Oil Total: All Boiler Types Thousand barrels of

residual oil consumed EIA’s SEDS a

### 66

SCC SCC Level 1 SCC Level 2 SCC Level 3 SCC Level 4 Activity Activ ity

Data
Source

2103006000 Stationary Source Fuel Combustion Commercial/Instit utional Natural Gas Total: All Boiler Types Million cubic feet of natural gas consumed EIA’s SEDS a

2103007000 Stationary Source Fuel Combustion Commercial/Institutional Liquefied Petroleum Gas (LPG) Total: All Combustor Types Thousand barrels of
LPG con sumed EIA’s SEDS a

2103008000 Stationary Source Fuel Combustion Commercial/Institutional Wood Total: All Boiler Types Billion Btu of wood

consumed EIA’s SEDS a

2103011000 Stationary Source Fuel Combustion Commercial/Institutional Kerosene Total: All Comb ustor Types Thousand barrels of

kerosene consumed EIA’s SEDS a

(a) With adjustments that are described in the text of this section.



### Fuel

- Specific Activity Data Adjustments

Coal

- for commercial/institutional coal combustion, t he SEDS data do not provide coal consumption estimates by type of coal (i.e., anthracite ver sus bituminous/sub

- bituminous) and in some cases, CAP emission factors differ between the two. Because anthracite is mined in the eastern half of the Commonwealth, while bituminous is mined i n the western half, the emission calculations assume that eastern counties burn anthracite coal while western counties burn

bituminous coal.

Commercial Coal Combustion :

where:

VOC Emission Factor = 0.3 l bs/ton anthracite coal/ye ar; 0.05 lbs/ton bituminous coal/year

NO

x 

### Emission Factor = 9 lbs/ton anthracite coal/year; 11 lbs/ton bituminous coal/year CO Emission Factor = 0.6 lbs/ton anthracite coal/year; 5.0 lbs/ton bituminous coal/year

Pb Emission Factor = 0.00042 lbs/ton anthra cite coal/year and bituminous coal/year

### 67

SO 2 

### Emission Factor =34.71 lbs/ton anthracite coal/year; 91.96 lbs/ton bituminous coal/year (EPA default values for PA)

PM10

- FIL Emission Factor = 1 4.718 lbs/ton anthracite coal/year; 12 lbs/ton bituminous coal/year

PM25

- FIL Emission Factor = 6.4224 lbs/ton anthracite coal/year; 1.4 lbs/ton bituminous coal/year

PM

- CON Emission Factor = 0.0 8 lbs/ton anthracite coal/year; 0.0 4 lbs/ton bituminous coal/year Anthracite Coal Sulfur Content = 0.89% Bituminous Coal Sulfur Con tent = 2.42%

Anthracite Coal Ash Content = 13.38% ash Pennsylvania Commercial Coal Consumption = 574,000 tons Number of Commercial County Employees (Allegheny County) = 637,800 Number of Pennsylvania ’s Comme rcial Employees = 4,546,525

where:

NOX Emissions :

### 68

Distillate Oil and LPG

– the SEDS commercial/institutional sector distillate oil and LPG consumpt ion data include consumption estimates for equipment that EPA includes in the non

- road sector inventory. To avoid double

- counting of LPG consumption, EPA ran the National Mobile Inventory Model (NMIM) for 2006 and calculated the national

volume of non

- roa d LPG consumption from commercial sector source categories. This estimate was then divided into the SEDS total industrial sector LPG consumption estimate to yield the proportion of total commercial/institutional sector LPG consumption attributable to the non

- road sector in that year (approximately 18 percent). To estimate the volume of commercial/institutional sector LPG consumption that should not be included in the non

- point source in

ventory EPA subtracted 18 percent from each state’s commercial sector LPG consumption estimate reported in SEDS.

To avoid double

- counting of distillate oil consumption between the non

- point and non

- road sector emission inventories, EPA relied on a source other than SEDS to estimate consumption. The approach uses more deta iled distillate oil consumption estimates reported in EIA’s Fuel Oil and Kerosene Sales , and assumptions from the regulatory impact analysis (RIA) for EPA’s non

- road diesel emissions rulemaking (EIA, 200 8 b; EPA, 2003). Table 4 displays the assumptions tha t were applied to the state

- level distillate oil consumption estimates reported in Fuel Oil

and Kerosene Sales to estimate total stationary source commercial/institutional sector consumption

.

T able 4. Assumptions Used to Estimate Commercial/Institutional Sector Stationary Source Distillate Fuel Consumption

Sector Distillate Fuel Type % of Total Consumption from Stationary
Sources

Commercial No. 1 Distillate Fuel Oil 80

No. 2 Distillate Fuel Oil 100

No. 2 Distillate/Ultra

- Low, Low, and High Sulfur

Di esel 0 a



### No. 4 Distillate Fuel Oil 100

a 

### A very small portion of total commercial/institutional diesel is consumed by point sources (SCC 203001xx).

### 69

Commercial/Institutional Distillate Oil Combustion :

where:

VOC Emission Facto r = 0.34 lbs/thous. gal. distillate oil/year

NO

x 

### Emission Factor = 20 lbs/thous. gal. distillate oil/year CO Emission Factor = 5.0 lbs/thous. gal. distillate oil/year Pb Emission Factor = 0.00126 lbs/thous. gal. distillate oil/year Sulfur Content = 0.3%

SO 2 

### Emission Factor = 42.6 lbs/thous. gal. distillate oil/year

PM10

- FIL Emission Factor = 1.08 lbs/ thous. gal. distillate oil

/year

PM25

- FIL Emission Factor = 0.83 lbs /thous. gal. distillate oil

/year

PM

- CON Emission Factor = 1.3 lbs/ thous. gal. distillate o il

/year Pennsylvania Commercial Distillate Oil Consumption = 4,264,000 barrels = 179,088 thousand gallons

where: Number of Allegheny County Commercial Employees = 637,800 Number of Pennsylvania Commercial Employees = 4,546,525

NO2 Emissions :

### 70

Commercial/Institutional Residual Oil Combustion :

where:

VOC Emission Factor = 1.13 lbs/thous gal. residual oil/year

NO

x 

### Emission Factor = 55 lbs/thous gal. residual oil/year

CO Emission Factor = 5.0 lbs/thou s gal. residual oil/year Pb Emission Factor = 0.00165 lbs/thous gal. residual oil/year

SO 2 

### Emission Factor = 353.25 lbs/thous gal. residual oil/year Sulfur Content = 2.25%

PM10

- FIL Emission Factor = 14.9413 lbs/ thous gal. residual oil/year

PM25

- FIL Emissio n Factor = 5.5488 lbs /thous gal. residual oil/year

PM

- CON Emission Factor = 1.5 lbs/ thous gal. residual oil/year Pennsylvania Commercial Residual Consumption = 287,000 barrels = 12,054,000 gallons

where: Number of Commercial/Institutional County Employees (Allegheny County) = 637,800

Number of Pennsylvania Commercial/Institutional Employees = 4,546,525

VOC Emissions :

### 71

Commercial/Institutional Natural Gas Combustion :

where:

VOC Emission Fac tor = 5.5 lbs/MMCF natural gas/year

NO

x 

### Emission Factor = 100 lbs/MMCF natural gas/year CO Emission Factor = 84 lbs/MMCF natural gas/year Pb Emission Factor = .0005 lbs/MMCF natural gas/year

SO 2 

### Emission Factor = 0.6 lbs/MMCF natural gas/year

PM10

- FIL Emis sion Factor = 0.13 lbs/MMCF natural gas/year

PM25

- FIL Emission Factor = 0.11 lbs/MMCF natural gas/year

PM

- CON Emission Factor = 0.32 lbs/MMCF natural gas/year Pennsylvania Commercial/Institutional NG Consumption = 130,328 MMCF

where: Number of Allegheny County Commercial Employees = 637,800 Number of Pennsylvania Commercial Employees = 4,546,525

### 72

CO Emissions :

Commercial/Institutional LPG Combustion :

where:

VOC Emission Factor = 21.91 lbs /1000 barrel LPG/year

NO

x 

### Emission Factor = 398.38 lbs/1000 barrel LPG/year CO Emission Factor = 501.96 lbs/1000 barrel LPG/year Pb Emission Factor = 0.001827 lbs/1000 barrel LPG/year

SO 2 

### Emission Factor = 2.39 lbs/1000 barrel LPG/year

PM10

- FIL Emission Fa ctor = 0.797 lbs/1000 barrel LPG/year

PM25

- FIL Emission Factor = 0.438 lbs/1000 barrel LPG/year

PM

- CON Emission Factor = 1.28 lbs/1000 barrel LPG/year Pennsylvania Commercial/Institutional LPG Consumption = 689,000 barrels

### 73

where: Number of Allegheny County Industrial Employees = 637,800 Number of Pennsylvania Industrial Employees = 4,546,525

VOC Emissions :

Commercial/Institutional Kerosene Combustion :

where:

VOC Emissio n Factor = 0.3278571 lbs/1000 ga l Kerosene/year

NO

x 

### Emission Factor = 19.28572 lbs/1000 gal Kerosene/year

CO Emission Factor = 4.821429 lbs/1000 gal Kerosene/year

Pb Emission Factor = 0.001215 lbs/1000 gal Kerosene/year

SO 2 

### Emission Factor = 41.07857 lbs/1 000 gal Kerosene/year

PM10

- FIL Emission Factor = 1.041429 lbs/1000 gal Kerosene/year

PM25

- FIL Emission Factor = 0.8003572 lbs/1000 gal Kerosene/year

PM

- CON Emission Factor = 1.25 lbs/1000 gal Kerosene/year Pennsylvania Commercial Kerosene Consumption = 4 20,000 barrels = 17,640,000 gallons

### 74

where: Number of Allegheny County Industrial Employees = 637,800 Number of Pennsylvania Industrial Employees = 4,546,525

SO2 Emissions :

Point Source Energy Adjustm ent

Because the point source inventory also includes commercial/institutional fuel combustion source categories, it is necessary to subtract point source inventory fuel use from the SEDS fuel consumption estimates. Table 5 displays the

crosswalk between commercial/institutional fuel combustion non

- point SCCs and associated point SCCs that EPA plans to use in the subtraction procedure. The subtractions will be performed after summing the point source throughput estimates to the state

- level

.

### 75

Table 5. Poi nt Source Subtraction SCCs Relevant to Nonpoint Source

Commercial/Institutional Fuel Combustion

SCC SCC Level 1 SCC Level 2 SCC Level 3 (Fuel

- if not specified at level 3)

2103001000 & 2103002000

-- Commercial/Institutional; Anthracite Coal; Total: All B oiler Types and Bituminous/Sub

- bituminous Coal; Total: All Boiler Types

103002xx External Combustion Boilers Commercial/Institutional Bituminous/Sub

- bituminous Coal

10500202 External Combustion Boilers Space Heaters Commercial/Institutional (Coal)

50190 002 Waste Disposal Solid Waste Disposal

- Government Auxiliary Fuel/No Emissions (Coal)

50290002 Waste Disposal Solid Waste Disposal

- Commercial/Institutional Auxiliary Fuel/No Emissions (Coal)

2103004000

-- Commercial/Institutional; Distillate Oil; Tot al: Boilers and IC Engines

103005xx External Combustion Boilers Commercial/Institutional Distillate Oil

10500205 External Combustion Boilers Space Heaters Commercial/Institutional (Distillate Oil)

50190005 Waste Disposal Solid Waste Disposal

- Governmen t Auxiliary Fuel/No Emissions (Distillate Oil)

50290005 Waste Disposal Solid Waste Disposal

- Commercial/Institutional Auxiliary Fuel/No Emissions (Distillate Oil)

2103005000

-- Commercial/Institutional; Residual Oil; Total: All Boiler Types

103004xx Ex ternal Combustion Boilers Commercial/Institutional Residual Oil

2103006000

-- Commercial/Institutional; Natural Gas; Total: Boilers and IC Engines

103006xx External Combustion Boilers Commercial/Institutional Natural Gas

10500206 External Combustion Boi lers Space Heaters Commercial/Institutional (Natural Gas)

203002xx Internal Combustion Engines Commercial/Institutional Natural Gas

50190006 Waste Disposal Solid Waste Disposal

- Government Auxiliary Fuel/No Emissions (Natural Gas)

50290006 Waste Dispos al Solid Waste Disposal

- Commercial/Institutional Auxiliary Fuel/No Emissions (Natural Gas)

2103007000

-- Commercial/Institutional; Liquid Petroleum Gas; Total: All Combustor Types

103010xx External Combustion Boilers Commercial/Institutional Liquefied Petroleum Gas (LPG)

10500210 External Combustion Boilers Space Heaters Commercial/Institutional (LPG)

203010xx Internal Combustion Engines Commercial/Institutional Liquefied Petroleum Gas (LPG)

50190010 Waste Disposal Solid Waste Disposal

- Government A uxiliary Fuel/No Emissions (LPG)

50290010 Waste Disposal Solid Waste Disposal

- Commercial/Institutional Auxiliary Fuel/No Emissions (LPG)

2103008000

-- Commercial/Institutional; Wood; Total: All Boiler Types

103009xx External Combustion Boilers Commerc ial/Institutional Wood/Bark Waste

10500209 External Combustion Boilers Space Heaters Commercial/Institutional (Wood)

2103011000

-- Commercial/Institutional; Kerosene; Total: All Combustor Types

203009xx Internal Combustion Engines Commercial/Institution al Kerosene/Naphtha (Jet Fuel)

50100603 Waste Disposal Solid Waste Disposal

- Government Fire Fighting (Kerosene)

### County Allocation of State Activity Data

Year 200 7 county

- level activity estimates will be developed by allocating the state

- level activit y resulting from the adjustments to the SEDS data described above. The EPA compiled 2006 estimates of commercial sector (NAICS codes 42 through 81) employment

from the Bureau of Census’ County Business Patterns 2006 for use in this procedure (Census, 2009 a). A separate document describes

how withheld County Business Patterns employment data were estimated (Divita, 2008). The EPA also developed 2006 county

- level estimates of institutional sector (NAICS code 92) employment from 2007 local government employ ment data in the 2007 Census of

Governments and adjustments reflecting each state’s 2006/2007 local government employment ratio (Census, 2009b). 1 

### State

- level commercial/institutional fuel combustion by fuel type was allocated to each county using the rat io of the number of commercial/institutional sector employees in each county to the total number of commercial/institutional sector employees in the state.



### Emission Factors

The EPA has compiled criteria and hazardous air pollutant emission factors for n on

- point source commercial/institutional fuel combustion categories (Huntley, 2009). These emission factors, which are too numerous to list here, are included in a spread sheet within the ICI fuel combustion workbook. In most cases, these are the same emi ssion factors that were used in preparing the 2002

non

- point source NEI (Pechan, 2006). Commercial/institutional wood combustion emission factors were obtained from an ICI fuel combustion study being performed for the Central Regional Air Planning Associa tion (CENRAP) (Pechan, 2009a).



### Potential Improvements

States may wish to incorporate the following improvements in developing non

- point source commercial/institutional fuel combustion

emission estimates: Update SO 2 

### emission factors to reflect coal sulfu r content estimates for coal used in the industrial sector in 2006

--

1 

### County

- level federal and state government employment data are not available from the Bureau of the Census.

### 77

a recent review of industrial and commercial coal sulfur content values for the Central Regional Air Planning Association con cluded that the 2002 NEI values are based on unrepresentative d ata (Pechan, 2009b). 1



### Additional References for Fuel Combustion

- Commercial/Institutional

1. Census, 2009a: Bureau of the Census, U.S. Department of Commerce, County Business Patterns 2006 , available from: http://www.census.gov/epcd/cbp/download/06_data/index.html , accessed March 2009. Census, 2009b: Bureau of the Census, U.S. Department of Commerce, “Local Government Employment and Payroll, March 2006,” 2007 Census of Gove rnments , available from: http://www.census.gov/govs/www/apesloc06.html , accessed March 2009.

2. Divita, 2008: Divita, Frank, E.H. Pechan & Associates, Inc., memorandum to Roy Huntley, U.S. En vironmental Protection Agency, “County Business Patterns Calculations,” December 4, 2008.

3. EIA, 2008a: Energy Information Administration, U.S. Department of Energy, State Energy Data System

– Consumption, Physical Units, 1960

- 2006, available from: http://www.eia.doe.gov/emeu/states/_seds.html , released November 28, 2008.

4. EIA, 2008b: Energy Information Administration, U.S. Department of Energy, Fuel Oil and Kerosene Sales , data availabl e from: http://tonto.eia.doe.gov/dnav/pet/pet_cons_821use_dcu_nus_a.htm , release date December 23, 2008.

5. EPA, 2003: U.S. Environmental Protection Agency, “Draft Regulatory Impact Analysis: Control of Emissions from Nonroad Diesel Engines,” EPA420

- R

- 03

- 008, Office of Transportation and Air Quality, April 2003.

6. Huntley, 2009: Huntley, Roy, U.S. Environmental Protection Agency, “SCCs & emission factors to be used in 2008 NEI to Bollman May 1 2009.mdb [electronic file],” May 1, 2009.

1 

### Actual data characterizing sulfur content of coal consumed in the commercial sector is limited, but appears to be in

- line with industrial coal consumption values. Therefore, industrial sector sulfur content can reasonably be assumed to be representative of

commercial sector sulfur content.

### 78

7. Pechan, 2009a: E.H. Pechan & Associates, Inc., “Area Combustion Source Emissions Inventory Improvement Methodology, Technical Memorandum,” E.H. Pechan & Associates, Inc., prepared for Cen tral Regional Air Planning Association, March 20, 2009.

8. Pechan, 2009b: E.H. Pechan & Associates, Inc., “Evaluation of ICI Combustion Coal Sulfur Content, Technical Memorandum,” prepared for Central Regional Air Planning Association, March 28, 2009.

9

. Pechan, 2006: E.H. Pechan & Associates, Inc. “Documentation for the Final 2002 Nonpoint Sector (Feb 06 Version) National Emission Inventory for Criteria and Hazardous Air Pollutants,” prepared for U.S. Environmental Protection Agency, July 2006.

### 79

FUEL COMBUSTION

– INDUSTRIAL (7 SCCs: 2102001000,

SCC 2102002000, SCC 2102004000, SCC 2102005000,

SCC 2102006000, SCC 2102007000, SCC 2102011000 )

Source Category Description

This sub

- sector covers emissions from fuel combustion at stationary non

- poi nt sources within the industrial sector (i.e., sources that are not reported in the point source inventory because their emissions are too small). These documentation and fuel combustion emissions were calculated by E. H. Pechan and Associates. Reference s are listed at the end of the Fuel Combustion

– Industrial

section. Industrial fuel combustion emissions will be computed for the following fuel types: coal, distillate oil, residual oil, natu ral gas, liquefied petroleum gas (LPG), kerosene, and wood.

There are additional types of energy that are consumed in the industrial sector: asphalt and road oil; feedstocks, naphtha ( less than 401°F); feedstocks, other oils (greater than 401°F); lubricants; motor gasoline; miscellaneous petroleum products; pentan es plus; special naphthas; and waxes. With the exception of motor gasoline, all of these additional fossil fuels are not actually com busted (oxidized) but are used as chemical feedstocks, construction materials, lubricants, solvents, or reducing agents. Therefore, there are no industrial sector combustion emissions from these fuel types. As described in more detail later, most of the fuel types that are included in the industrial combustion sector, also have a non

- fuel use component. Therefore, it is ne cessary to exclude this component in calculating non

- point source industrial fuel combustion activity/emissions. Motor gasoline is not inventoried as a non

- point source because it is expected that gasoline combustion in this sector is included in the non

- road inventory.

The approach to be used in calculating emissions for industrial fuel combustion is to first develop state

- level fuel consumption estimates, then to allocate these to the county

- level, and then to multiply the resulting county

- level consump tion estimates by appropriate emission factors.

### 80

Source Classification. Table 1 displays the non

- point SCCs associated with industrial fuel combustion.

Table 1. Non

- point Source Industrial Fuel Combustion SCCs

SCC SCC Level 1 SCC Level

2 SCC Lev el 3 SCC Level 4

21020010

00 Stationary Source Fuel

Combustion Industrial Anthracite Coal Total: All Boiler Types

21020020

00 Stationary Source Fuel

Combustion Industrial Bituminous/Sub

- bituminous
Coal Total: All Boiler Types

21020040

00 Stationary Source Fuel

Combustion Industrial Distillate Oil Total: Boilers and IC Engines

21020050

00 Stationary Source Fuel

Combustion Industrial Residual Oil Total: All Boiler Types

21020060

00 Stationary Source Fuel

Combustion Industrial Natural Gas Total: Boilers and IC Engines

21020070

00 Stationary Source Fuel

Combustion Industrial Liquefied Petroleum Gas (LPG) Total: All Boiler Types

21020080

00 Stationary Source Fuel

Combustion Industrial Wood Total: All Boiler Types

21020110

00 Stationary Source Fuel

Combustion Indu strial Kerosene Total: All Boiler Types

### 81

Activity Data

Table 2 summarizes this sector’s non

- point source activity data, units, and data source. Total state

- level industrial sector energy consumption data are available from the Energy Information Adm inistration (EIA)’s State Energy Da ta System (SEDS), and were

used for most source categories (EIA, 200 8 a). However, a s documented below, a number of adjustments were made to the SEDS data, and a separate EIA data source was used for distillate oil. Year 2006 SEDS data were used to estimate 200 7 emissions because these were the latest year consumption data available at the time this work was performed in 2009

Table 2. Non

- point Source Industrial Fuel Combustion Activity Data

SCC SCC Level 1 SCC

Le vel 2 SCC Level

3 SCC Level 4 Activity Activity Data
Source

21020010

00 Stationary Source

Fuel Combustion Industri

al Anthracite
Coal Total: All

Boiler Types Thousand short tons of

coal consumed EIA’s SEDS a



### 21020020

00 Stationary Source

Fuel Combustion Indu stri

al Bituminous/
Sub

bituminous
Coal Total: All

Boiler Types Thousand short tons of

coal consumed EIA’s SEDS a



### 21020040

00 Stationary Source

Fuel Combustion Industri

al Distillate Oil Total:

Boilers and IC Engines Thousand barrels of

distillate oil consume d EIA’s Fuel Oil

and Kerosene
Sales a

### 82

SCC SCC Level 1 SCC

Le vel 2 SCC Level

3 SCC Level 4 Activity Activity Data
Source

21020050

00 Stationary Source

Fuel Combustion Industri

al Residual Oil Total: All

Boiler Types Thousand barrels of

residual oil consumed EIA’s SEDS a



### 21020060

00 Stationary Source

Fuel Combustion Industri

al Natural Gas To tal:

Boilers and IC Engines Million cubic feet of

natural gas consumed EIA’s SEDS a



### 21020070

00 Stationary Source

Fuel Combustion Industri

al Liquefied

Petroleum Gas (LPG) Total: All

Boiler Types Thousand barrels of

LPG consumed EIA’s SEDS a



### 21020080

00 Stati onary Source

Fuel Combustion Industri

al Wood Total: All

Boiler Types Billion Btu of wood

consumed EIA’s SEDS a



### 21020110

00 Stationary Source

Fuel Combustion Industri

al Kerosene Total: All

Boiler Types Thousand barrels of

kerosene consumed EIA’s SEDS a

a Wit h adjustments that are described in the text of this section.



### Fuel

- Specific Activity Data Adjustments

Coal

- for industrial coal combustion, it was necessary to compile data representing a sub

- set of total sector coal consumption. Data representing non

- coke plant consumption were compiled from EIA because coal consumed by coke plants is accounted for in the point source inventory. The SEDS data do not provide coal consumption estimates by type of coal (i.e., anthracite ver sus bituminous/sub

bituminous) and in some cases, CAP emission factors differ between the two. Because anthracite is mined in the eastern half of the Commonwealth, while bituminous is mined in the western half, the emission calculations assume that eastern counties burn anth racite

coal while western counties burn bituminous coal.

### 83

Industrial Coal Combustion :

where:

VOC Emission Factor = 0.3 lbs/ton anthracite coal/year; 0. 05 lbs/ton bituminous coal/year

NO

x 

### Emission Factor = 9 lbs/ton anthracite coal/year; 11 lbs/ton bituminous coal/year CO Emission Factor = 0.6 lbs/ton anthracite coal/year; 5.0 lbs/ton bituminous coal/year Pb Emission Factor = 0.00042 lbs/ton anthracite coal/year and bituminous coal/year

SO 2 

### Emission Factor = 34.71 lbs/ton anthracite coal/ye ar; 91.96 lbs/ton bituminous coal/year (EPA default values for PA)

PM10

- FIL Emission Factor = 14.718 lbs/ton anthracite coal/year; 12 lbs/ton bituminous coal/year

PM25

- FIL Emission Factor = 6.4224 lbs/ton anthracite coal/year; 1.4 lbs/ton bituminous coal/y ear
PM

- CON Emission Factor = 0.0 8 lbs/ton anthracite coal/year; 0.0 4 lbs/ton bituminous coal/year Anthracite Coal Sulfur Content = 0.89% Bituminous Coal Sulfur Content = 2.42%

Anthracite Coal Ash Content = 13.38% ash Pennsylvania Industrial Coal Consumptio n = 2, 597,000 tons Number of Industrial County Employees (Allegheny County) = 41,656 Number of Pennsylvania Industrial Employees = 800,578

where: Number of Allegheny County Industrial Employees = 41,656 Number of Pennsylvania Industrial Employees = 8 00,578

### 84

CO Emissions :

Distillate Oil and LPG

– the SEDS industrial sector distillate oil and LPG consumption data include consumption estimates for equi pment that EPA includes in the non

- road sector inventory. In particular, SEDS considers the following non

- road source category activities to be part of the industrial sector: farming, logging, mining, and construction. To avoid double

- counting of LPG

co nsumption, EPA ran the National Mobile Inventory Model (NMIM) for 2006 and calculated the national volume of non

- road LPG consumption from agriculture, logging, mining, and construction source categories.

This estimate was then divided into the SEDS tota l industrial sector LPG consumption estimate to yield the proportion of total industrial sector LPG consumption attributable to the non

- road sector in that year (approximately 9 percent). To estimate the volume of industrial sector LPG consumption that s hould not be included in the non

- point source industrial fuel combustion category, EPA subtracted 9 percent from each state’s industrial sector LPG consumption estimate reported in SEDS.

To avoid double

- counting of distillate oil consumption between the non

- point and non

- road sector emission inventories, EPA relied on a source other than SEDS to estimate consumption. The approach uses more detailed distillate oil consumption estimates repor ted in

EIA’s Fuel Oil and Kerosene Sales , and assumptions used in the regulatory impact analysis (RIA) for EPA’s non

- road diesel emissions rulemaking (EIA, 2008b; EPA, 2003).

Table 4 displays the assumptions that were applied to the state

- level distillate oil consumption estimates reported in Fuel Oil and

Kerosene Sal es to estimate total stationary source industrial sector consumption.

### 85

Table 4. Assumptions Used to Estimate Industrial Sector Stationary Source Distillate Fuel Consumption

Sector Distillate Fuel Type % of Total Consumption from Stationary
Sources

I ndustrial No. 1 Distillate Fuel Oil 60

No. 2 Distillate Fuel Oil 100
No. 2 Distillate/Low and High Sulfur

Diesel 15 a



### No. 4 Distillate Fuel Oil 100

Farm Diesel 0

Other Distillate Fuel Oil 100

Off

- Highway (Construction and Other) Distillate Fuel O il 5

a This value differs from the 0% assumption adopted in EPA’s non

- road diesel emissions rulemaking because it is known that some diesel fuel is used by stationary sources (a 15 percent value was selected for use as an approximate mid

- point of a potent ial range of 8 to 24% stationary source use computed from a review of data from the EIA’s Manufacturing Energy Consumption Survey and Fuel Oil and Kerosene Sales ).



### Industrial Distillate Oil Combustion :

### 86

where:

VOC Emission Factor = 0.20 lbs/ thous gal. distillate oil/year

NO

x 

### Emission Factor = 20 lbs/ thous gal. distillate oil/year

CO Emission Factor = 5.0 lbs/ thous gal. distillate oil/year

Pb Emission Factor = 0.00126 lbs/ thous gal. distillate oil/year

SO 2 

### Emission Factor = 42.6 lbs/ thous gal. distillate oil/year Sulfur Content = 0.3%

PM10

- FIL Emission Factor = 1 lbs/ thous gal. distillate oil

/year

PM25

- FIL Emission Factor = 0.25 lbs /thous gal. distillate oil

/year

PM

- CON Emission Factor = 1.3 lbs/ thous gal. distillate oil

/ye ar Pennsylvania Industrial Distillate Oil Consumption = 2, 521,000 barrels = 105,882 thouand gallons Number of Allegheny County Industrial Employees =41,656 Number of Pennsylvania Industrial Employees = 800,578

SO2 Emissions :

### 87

Industrial Residual Oil Combustion :

where:

VOC Emission Factor = 0.2 8 lbs/thous gal. residual oil/year

NO

x 

### Emission Factor = 47 lbs/thous gal. re sidual oil/year CO Emission Factor = 5.0 lbs/thous gal. residual oil/year

Pb Emission Factor = 0.001 65 lbs/thous gal. residual oil/year

SO 2 

### Emission Factor = 353.25 lbs/thous gal. residual oil/year Sulfur Content = 2.25%

PM10

- FIL Emission Factor = 20.721 3 lbs/ thous gal. residual oil/year

PM25

- FIL Emission Factor = 13.4963 lbs/thous gal. residual oil/year

PM

- CON Emission Factor = 1. 5 lbs/ thous gal. residual oil/year Pennsylvania Industrial Residual Oil Consumption = 1,702 ,000 barrels = 71,484 thou s and gall ons Number of Allegheny County Industrial Employees =41,656

N umber of Pennsylvania Industrial Employees = 800,578

PM10

- FIL Emissions :

### 88

Industrial Natural Gas Combustion :

where:

VOC Emission Factor = 5.5 lbs/ MMCF natural gas

/year

NO

x 

### Emission Factor = 100 lbs/MMCF natural gas/year

CO Emission Factor = 84 lbs/MMCF natural gas/year

Pb Emission Factor = .0005 lbs/MMCF natural gas/year

SO 2 

### Emission Factor = 0.6 lbs/MMCF natur al gas/year

PM10

- FIL Emission Factor = 0.13 lbs/MMCF natural gas/year

PM25

- FIL Emission Factor = 0.11 lbs/MMCF natural gas/year

PM

- CON Emission Factor = 0.32 lbs/MMCF natural gas/year Pennsylvania Industrial NG Consumption = 193,856 MMCF

where:

Number o

f Allegheny County Industrial Employees =41,656 Number of Pennsylvania Industrial Employees = 800,578

NOx Emissions :

### 89

Industrial LPG Gas Combustion :

wh ere:

### 90

VOC Emission Factor = 21.91 lbs/ thous bbl LPG/year

NO

x 

### Emission Factor = 398.38 lbs/ thous bbl LPG/year

CO Emission Factor = 501.96 lbs/ thous bbl LPG/year

Pb Emission Factor = 0.001827 lbs/ thous bbl LPG/year

SO 2 

### Emission Factor = 2.39 lbs/ thous b b l LPG/year

PM10

- FIL Emission Factor = 0.797 lbs/ thous bb l LPG/year

PM25

- FIL Emission Factor = 0.438 lbs/ thous bb l LPG/year

PM

- CON Emission Factor = 1.28 lbs/ thous bb l LPG/year Pennsylvania Industrial LPG Consumption = 3,923,000 bbl

Number of Allegheny County Industrial Employees =41,656 Number of Pennsylvania Industrial Employees = 800,578

CO Emissions :

Industrial Kerosene Combustion :

where:

### 91

VOC Emission Factor = 0.19 28471 lbs/ thous gal Kerosene/year

NO

x 

### Emission Factor = 20.0 lbs/ thous gal Kerosene/year

CO Emission Factor = 5.0 lbs/ thous gal Kerosene/year

Pb Emission Factor = 0.00 1215 lbs/ thous gal Kerosene/year

SO 2 

### Emission Factor = 42.6 lbs/ thous gal Kerosene/y ear PM10

- FIL Emission Factor = 1.0 lbs/ thous gal Kerosene/year

PM25

- FIL Emission Factor = 0.25 lbs/ thous gal Kerosene/year

PM

- CON Emission Factor = 1.3 lbs/ thous gal Kerosene/year Number of Allegheny County Industrial Employees =41,656 Number of P ennsylvania Industrial Employees = 800,578

SO 2 Emissions :

N on

- Fuel Use Energy Adjustment

Some industrial sector energy is consumed for non

- fuel purposes. For example, natural gas is used as a feedstock i n chemical manufacturing plants and to make nitrogenous fertilizer, and LPG is used to create intermediate products that are made into p lastics. To estimate the volume of fuel that is associated with industrial combustion, it is necessary to subtract the volume of fuel consumption

for non

- energy uses from the volume of total fuel consumption. The EPA’s State Greenhouse Gas Inventory Tool (SIT) provides national defaults representing the percentage of total industrial fuel consumption from non

- energy uses. These default values have an additional limitation beyond their lack of geographic detail

- they represent the EIA’s definition of the industrial sector, which includes fuel consumption from industrial, farm, mining, and construction sectors that is acco unted for in the non

- road inventory.

### 92

Furthermore, a review of the SIT default data indicates that all residual oil is consumed as a fuel source. However, the EIA ’s 2002 Manufacturing Energy Consumption Survey (MECS) indicates significant non

- fuel use o f residual oil in the manufacturing sector (EIA, 2007a). In discussions about this issue, EIA noted that the non

- fuel use data in the SIT appeared to be incorrect, and that the MECS data were representative of 2002 non

- fuel use (Lorenz, 2009). Given this concern, a review was conducted of the non

- fuel use assumptions incorporated into the EIA’s GHG emissions inventory for 2005 (EIA, 2007b). For each type of industrial sector en ergy consumed in 2006, Table 5 summarizes EIA’s non

- fuel use assumptions.

Ta ble 5. Non

- Fuel Use Information from EIA’s 2005 GHG Inventory

Fuel Non

- Fuel Use Assumption Asphalt and Road Oil 100% Coal (non

- coke) Yes (<100%)
Distillate Oil Yes (<100%) Feedstocks, Naphtha <401°F 100% Feedstocks, Other oils >401°F 100%
Kerosene None
LPG Yes (<100%)

Lubricants 100%
Misc. Petroleum Products 100%
Motor Gasoline None
Natural Gas Yes (<100%)

Pentanes Plus 100%
Residual Oil Yes (<100%) Special Naphthas 100%
Waxes 100%

In calculating the emission activity for industrial fuel combustion, EPA excluded all SEDS fuel types for which EIA assumes 100 percent of consumption is non

- fuel use.

### 93

For fuel types for which non

- fuel use occurs, but is less than 100 percent, Pechan reviewed two information sources to identify the

non

- fuel us e percentage to apply in the NEI. The first source was that listed by EIA in its 2005 national GHG inventory; the second was the EIA’s 2002 MECS. The MECS data has the advantage of providing region

- specific estimates as well as values that exclude

fuel c onsumption that is already accounted for in the non

- road inventory. For distillate and residual fuel and natural gas, the EIA GHG inventory source was MECS. For LPG, it was not possible to use the EIA GHG inventory source for non

- fuel consumption as it is a proprietary source published by the American Petroleum Institute. For non

- coke coal, EIA extrapolated data from 1994.

The MECS non

- fuel consumption data treat coal that is used to produce coke as a feedstock, and therefore, MECS can not be used to

r epresent non

- coke coal consumption. T he 2002 MECS data treat “synthetic coal” that is ultimately combusted as regular coal, as a

non

- fuel (feedstock) use

. Because of the limitations of the MECS data, EPA obtained from EIA a rough estimate of the percenta ge of

non

- coking coal that is used for non

- fuel purposes (while also treating “synthetic coal” as a fuel use).

Based on the EIA’s estimate that 5

- 10 percent of non

- coke coal is used for non

- fuel purposes, EPA assumed that 7 percent of non

coke plant ind ustrial sector coal consumption is for non

- fuel purposes (Lorenz, 2009). Table 6 presents the non

- fuel use percentages that were applied to estimate industrial fuel combustion activity.

Table 6. Industrial Sector Non

- Fuel Use Estimates

Fuel % Non

- Fuel Use by Region

Source

Northeast South Midwest West

Distillate Oil 5 a 

### 9 b 

### 9 b 

### 5 a 

### 2002 MECS

LPG 41 a 

### 98 88 41 a 

### 2002 MECS

Natural Gas 1 15 6 41 2002 MECS

Non

- Coke
Coal 7 c 

### 7 c 

### 7 c 

### 7 c 

### Lorenz,

2009

Residual Oil 0 25 b 

### 25 b 

### 8 2002 MECS

a Due to withheld data, va lue represents combination of Northeast and West region data.

b Due to withheld data, value represents combination of Midwest and South region data.

c Region

- specific values not available.

### 94

Source Energy Adjustment

Because the point source inventory also includes industrial fuel combustion categories, it is necessary to subtract point source inventory fuel use from the SEDS fuel consumption estimates. Table 7 displays a crosswalk between industrial fuel combustion non

- point SCCs and associated point SCCs that EPA plans to use in the subtraction procedure. 1 

### The subtractions will be performed after summing the point source throughput estimates to the state

- level.

County Allocation of State Activity Data

Year 2005 county

- level activity estimates will be d eveloped by allocating the state

- level activity resulting from the adjustments to the EIA data described above. The EPA compiled 2006 estimates of manufacturing sector employment from the Bureau of Census’ County Business Patterns 2006 for use in this pro cedure (Census, 2009). State

- level industrial fuel combustion by fuel type will be allocated to each county using the ratio of the number of manufacturing sector (NAICS codes 31

- 33) employees in each county to the total number of manufacturing sector empl oyees in the state. A separate document describes how withheld County Business Patterns employment data were estimated (Divita, 2008).

T able 7. Point Source Subtraction SCCs Relevant to Non

- point Source Industrial Fuel Combustion

SCC SCC Level 1 SC C Level 2 SCC Level 3 (Fuel

- if not specified at level 3)

2102002000

– Industrial; Bituminous/Sub

- bituminous Coal; Total: All Boiler Types

102002xx External Combustion Boilers Industrial Bituminous/Sub

- bituminous Coal

10500102 External Combustion Boiler s Space Heaters Industrial (Coal)

390002xx Industrial Processes In

- Process Fuel Use Bituminous Coal

50390002 Waste Disposal Solid Waste Disposal

– Industrial Auxiliary Fuel/No Emissions (Coal)

2102004000

– Industrial; Distillate Oil; Total: All Boilers and IC Engines

102005xx External Combustion Boilers Industrial Distillate Oil

10201403 External Combustion Boilers Industrial CO Boiler (Distillate Oil)

1 

### As noted in a footnote to Table 7, it is important to exclude any natural gas pipeline fuel use from the point source subtrac tion procedure because SEDS includes such use in the Transporta tion sector rather than the Industrial sector.

### 95

SCC SCC Level 1 SC C Level 2 SCC Level 3 (Fuel

- if not specified at level 3)

10500105 External Combustion Boilers Space Heaters Industrial (Distillate Oil)

202001xx Internal C ombustion Engines Industrial Distillate Oil (Diesel)

20200401 Internal Combustion Engines Industrial Large Bore Engine (Diesel)

20200405 Internal Combustion Engines Industrial Crankcase Blow

- by (Diesel)

20200406 Internal Combustion Engines Industrial Ev aporative Losses (Fuel Storage and Delivery System) (Diesel)

20200407 Internal Combustion Engines Industrial Exhaust (Diesel)

27000320 Internal Combustion Engines Off

- Highway Diesel Engines Industrial Equipment

30190001 Industrial Processes Chemical Man ufacturing Fuel Fired Equipment (Distillate Oil)

30190011 Industrial Processes Chemical Manufacturing Fuel Fired Equipment (Distillate Oil)

30190021 Industrial Processes Chemical Manufacturing Fuel Fired Equipment (Distillate Oil)

30290001 Industrial Pr ocesses Food and Agriculture Fuel Fired Equipment (Distillate Oil)

30390001 Industrial Processes Primary Metal Production Fuel Fired Equipment (Distillate Oil)

30390011 Industrial Processes Primary Metal Production Fuel Fired Equipment (Distillate Oil)

30390021 Industrial Processes Primary Metal Production Fuel Fired Equipment (Distillate Oil)

30400406 Industrial Processes Secondary Metal Production Lead (Distillate Oil)

30490001 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Dis tillate Oil)

30490011 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Distillate Oil)

30490021 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Distillate Oil)

30490031 Industrial Processes Secondary Metal Prod uction Fuel Fired Equipment (Distillate Oil)

30500208 Industrial Processes Mineral Products Asphalt Concrete (Distillate Oil)

30505022 Industrial Processes Mineral Products Asphalt Processing (Blowing) (Distillate Oil)

30590001 Industrial Processes Mine ral Products Fuel Fired Equipment (Distillate Oil)

30590011 Industrial Processes Mineral Products Fuel Fired Equipment (Distillate Oil)

30590021 Industrial Processes Mineral Products Fuel Fired Equipment (Distillate Oil)

30600901 Industrial Processes Pe troleum Industry Flares (Distillate Oil)

30609901 Industrial Processes Petroleum Industry Incinerators (Distillate Oil)

30790001 Industrial Processes Pulp and Paper and Wood Products Fuel Fired Equipment (Distillate Oil)

30790011 Industrial Processes Pu lp and Paper and Wood Products Fuel Fired Equipment (Distillate Oil)

30790021 Industrial Processes Pulp and Paper and Wood Products Fuel Fired Equipment (Distillate Oil)

30890001 Industrial Processes Rubber and Miscellaneous Plastics
Products Fuel Fired Equipment (Distillate Oil)

30890011 Industrial Processes Rubber and Miscellaneous Plastics
Products Fuel Fired Equipment (Distillate Oil)

30890021 Industrial Processes Rubber and Miscellaneous Plastics
Products Fuel Fired Equipment (Distillate Oil)

3099 0001 Industrial Processes Fabricated Metal Products Fuel Fired Equipment (Distillate Oil)

30990011 Industrial Processes Fabricated Metal Products Fuel Fired Equipment (Distillate Oil)

31000401 Industrial Processes Oil and Gas Production Process Heaters ( Distillate Oil)

### 96

SCC SCC Level 1 SC C Level 2 SCC Level 3 (Fuel

- if not specified at level 3)

31000411 Industrial Processes Oil and Gas Production Process Heaters (Distillate Oil)

31390001 Industrial Processes Electrical Equipment Process Heaters (Distillate Oil)

390005xx Industrial Processes In

- Process Fuel Use Distillate Oil

3 9900501 Industrial Processes Miscellaneous Manufacturing Industries Process Heater/Furnace (Distillate Oil)

39990001 Industrial Processes Miscellaneous Manufacturing Industries Miscellaneous Manufacturing Industries (Distillate Oil)

39990011 Industrial P rocesses Miscellaneous Manufacturing Industries Miscellaneous Manufacturing Industries (Distillate Oil)

39990021 Industrial Processes Miscellaneous Manufacturing Industries Miscellaneous Manufacturing Industries (Distillate Oil)

40201002 Petroleum and So lvent Evaporation Surface Coating Operations Coating Oven Heater (Distillate Oil)

40290011 Petroleum and Solvent Evaporation Surface Coating Operations Fuel Fired Equipment (Distillate Oil)

49090011 Petroleum and Solvent Evaporation Organic Solvent Evapo ration Fuel Fired Equipment (Distillate Oil)

49090021 Petroleum and Solvent Evaporation Organic Solvent Evaporation Fuel Fired Equipment (Distillate Oil)

50390005 Waste Disposal Solid Waste Disposal

– Industrial Auxiliary Fuel/No Emissions (Distillate Oi l)

2102005000

– Industrial; Residual Oil; Total: All Boiler Types

102004xx External Combustion Boilers Industrial Residual Oil

10201404 External Combustion Boilers Industrial CO Boiler (Residual Oil)

202005xx Internal Combustion Boilers Industrial Res idual/Crude Oil

30190002 Industrial Processes Chemical Manufacturing Fuel Fired Equipment (Residual Oil)

30190012 Industrial Processes Chemical Manufacturing Fuel Fired Equipment (Residual Oil)

30190022 Industrial Processes Chemical Manufacturing Fuel F ired Equipment (Residual Oil)

30290002 Industrial Processes Food and Agriculture Fuel Fired Equipment (Residual Oil)

30390002 Industrial Processes Primary Metal Production Fuel Fired Equipment (Residual Oil)

30390012 Industrial Processes Primary Metal P roduction Fuel Fired Equipment (Residual Oil)

30390022 Industrial Processes Primary Metal Production Fuel Fired Equipment (Residual Oil)

30490002 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Residual Oil)

30490012 Industrial Pro cesses Secondary Metal Production Fuel Fired Equipment (Residual Oil)

30490022 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Residual Oil)

30490032 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Residual Oil )

30500207 Industrial Processes Mineral Products Asphalt Concrete (Residual Oil)

30505021 Industrial Processes Mineral Products Asphalt Processing (Blowing) (Residual Oil)

30590002 Industrial Processes Mineral Products Fuel Fired Equipment (Residual Oil )

30590012 Industrial Processes Mineral Products Fuel Fired Equipment (Residual Oil)

30600111 Industrial Processes Petroleum Industry Process Heaters (Residual Oil)

30600902 Industrial Processes Petroleum Industry Flares (Residual Oil)

30609902 Industr ial Processes Petroleum Industry Incinerators (Residual Oil)

30790002 Industrial Processes Pulp and Paper and Wood Products Fuel Fired Equipment (Residual Oil)

30790012 Industrial Processes Pulp and Paper and Wood Products Fuel Fired Equipment (Residual Oil)

30790022 Industrial Processes Pulp and Paper and Wood Products Fuel Fired Equipment (Residual Oil)

30890002 Industrial Processes Rubber and Miscellaneous Plastics Fuel Fired Equipment (Residual Oil)

### 97

SCC SCC Level 1 SC C Level 2 SCC Level 3 (Fuel

- if not specified at level 3)

Products

30890012 Industrial Processes Rubber and Miscellaneous Plastics

Products Fuel Fired Equipment (Residual Oil)

30890022 Industrial Processes Rubber and Miscellaneous Plastics

Products Fuel Fired Equipment (Residual Oil)

30990002 Industrial Processes Fabricated Metal Products Fuel Fired Equipment (Residual Oil)

30990012 Industrial Processes Fabricated Metal Products Fuel Fired Equipment (Residual Oil)

31000402 Industrial Processes Oil and Gas Production Process Heaters (Residual Oil)

31000412 Industrial Processes Oil and Gas Production Process Heaters (Residual Oil)

31390002 Industrial Processes Electrical Equipment Process Heaters (Residual Oil)

390004xx Industrial Processes In

- Process Fuel Use Residual Oil

39990002 Industrial Processes Miscellaneous Manufacturing Industries Miscellaneous Ma nufacturing Industries (Residual Oil)

39990012 Industrial Processes Miscellaneous Manufacturing Industries Miscellaneous Manufacturing Industries (Residual Oil)

39990022 Industrial Processes Miscellaneous Manufacturing Industries Miscellaneous Manufactur ing Industries (Residual Oil)

40201003 Petroleum and Solvent Evaporation Surface Coating Operations Coating Oven Heater (Residual Oil)

40290012 Petroleum and Solvent Evaporation Surface Coating Operations Fuel Fired Equipment (Residual Oil)

49090012 Pet roleum and Solvent Evaporation Organic Solvent Evaporation Fuel Fired Equipment (Residual Oil)

49090022 Petroleum and Solvent Evaporation Organic Solvent Evaporation Fuel Fired Equipment (Residual Oil)

2102006000

– Industrial; Natural Gas; Total: Boilers and IC Engines

102006xx External Combustion Boilers Industrial Natural Gas

10201401 External Combustion Boilers Industrial CO Boiler (Natural Gas)

10500106 External Combustion Boilers Space Heaters Commercial/Institutional (Natural Gas)

202002xx a Inte rnal Combustion Engines Industrial Natural Gas

30190003 Industrial Processes Chemical Manufacturing Fuel Fired Equipment (Natural Gas)

30190013 Industrial Processes Chemical Manufacturing Fuel Fired Equipment (Natural Gas)

30190023 Industrial Processes Chemical Manufacturing Fuel Fired Equipment (Natural Gas)

30290003 Industrial Processes Food and Agriculture Fuel Fired Equipment (Natural Gas)

30291001 Industrial Processes Food and Agriculture Fuel Fired Equipment (Natural Gas)

30390003 Industrial Pro cesses Primary Metal Production Fuel Fired Equipment (Natural Gas)

30390013 Industrial Processes Primary Metal Production Fuel Fired Equipment (Natural Gas)

30390023 Industrial Processes Primary Metal Production Fuel Fired Equipment (Natural Gas)

304004 07 Industrial Processes Secondary Metal Production Lead (Natural Gas)

30490003 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Natural Gas)

30490013 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Natural Gas)

30490023 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Natural Gas)

30490033 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Natural Gas)

30500206 Industrial Processes Mineral Products Asphalt Concrete (Natu ral Gas)

30505020 Industrial Processes Mineral Products Asphalt Processing (Blowing) (Natural Gas)

### 98

SCC SCC Level 1 SC C Level 2 SCC Level 3 (Fuel

- if not specified at level 3)

30590003 Industrial Processes Mineral Products Fuel Fired Equipment (Natural Gas)

30590013 Industrial Processes Mineral Products Fuel Fired Equipment (Nat ural Gas)

30590023 Industrial Processes Mineral Products Fuel Fired Equipment (Natural Gas)

30600105 Industrial Processes Petroleum Industry Process Heaters (Natural Gas)

30600903 Industrial Processes Petroleum Industry Flares (Natural Gas)

30602401 In dustrial Processes Petroleum Industry Reciprocating Engine Compressors (Natural Gas)

30609903 Industrial Processes Petroleum Industry Incinerators (Natural Gas)

30622003 Industrial Processes Petroleum Industry Underground Storage and Other Remediation: S oil: Natural Gas

30622403 Industrial Processes Petroleum Industry Underground Storage and Other Remediation: Air Stripping: Natural Gas

30790003 Industrial Processes Pulp and Paper and Wood Products Fuel Fired Equipment (Natural Gas)

30790013 Industrial Processes Pulp and Paper and Wood Products Fuel Fired Equipment (Natural Gas)

30790023 Industrial Processes Pulp and Paper and Wood Products Fuel Fired Equipment (Natural Gas)

30890003 Industrial Processes Rubber and Miscellaneous Plastics
Products Fuel Fired Equipment (Natural Gas)

30890013 Industrial Processes Rubber and Miscellaneous Plastics
Products Fuel Fired Equipment (Natural Gas)

30890023 Industrial Processes Rubber and Miscellaneous Plastics
Products Fuel Fired Equipment (Natural Gas)

309900 03 Industrial Processes Fabricated Metal Products Fuel Fired Equipment (Natural Gas)

30990013 Industrial Processes Fabricated Metal Products Fuel Fired Equipment (Natural Gas)

30990023 Industrial Processes Fabricated Metal Products Fuel Fired Equipment ( Natural Gas)

31000404 Industrial Processes Oil and Gas Production Process Heaters (Natural Gas)

31000414 Industrial Processes Oil and Gas Production Process Heaters (Natural Gas)

31390003 Industrial Processes Electrical Equipment Process Heaters (Natura l Gas)

390006xx Industrial Processes In

- process Fuel Use Natural Gas

39900601 Industrial Processes Miscellaneous Manufacturing Industries Process Heater/Furnace (Natural Gas)

39990003 Industrial Processes Miscellaneous Manufacturing Industries Miscellan eous Manufacturing Industries (Natural Gas)

39990013 Industrial Processes Miscellaneous Manufacturing Industries Miscellaneous Manufacturing Industries (Natural Gas)

39990023 Industrial Processes Miscellaneous Manufacturing Industries Miscellaneous Manuf acturing Industries (Natural Gas)

40201001 Petroleum and Solvent Evaporation Surface Coating Operations Coating Oven Heater (Natural Gas)

40290013 Petroleum and Solvent Evaporation Surface Coating Operations Fuel Fired Equipment (Natural Gas)

40290023 P etroleum and Solvent Evaporation Surface Coating Operations Fuel Fired Equipment (Natural Gas)

49090013 Petroleum and Solvent Evaporation Organic Solvent Evaporation Fuel Fired Equipment (Natural Gas)

49090023 Petroleum and Solvent Evaporation Organic So lvent Evaporation Fuel Fired Equipment (Natural Gas)

50390006 Waste Disposal Solid Waste Disposal

– Industrial Auxiliary Fuel/No Emissions (Natural Gas)

2102007000

– Industrial; LPG; Total: All Boiler Types

102010xx External Combustion Boilers Industri al Liquefied Petroleum Gas

10500110 External Combustion Boilers Space Heaters Industrial (LPG)

### 99

SCC SCC Level 1 SC C Level 2 SCC Level 3 (Fuel

- if not specified at level 3)

202010xx Internal Combustion Engines Industrial Liquefied Petroleum Gas

27300320 Internal Combustion Engines Off

- highway LPG

- fueled Engines Industrial Equipme nt

30290005 Industrial Processes Food and Agriculture Fuel Fired Equipment (LPG)

30490035 Industrial Processes Secondary Metal Production Fuel Fired Equipment (Propane)

30500209 Industrial Processes Mineral Products Asphalt Concrete (LPG)

30505023 Indu strial Processes Mineral Products Asphalt Processing (Blowing) (LPG)

30590005 Industrial Processes Mineral Products Fuel Fired Equipment (LPG)

30600107 Industrial Processes Petroleum Industry Process Heaters (LPG)

30600905 Industrial Processes Petroleum Industry Flares (LPG)

30609905 Industrial Processes Petroleum Industry Incinerators (LPG)

30890004 Industrial Processes Rubber and Miscellaneous Plastics
Products Fuel Fired Equipment (LPG)

31000406 Industrial Processes Oil and Gas Production Process H eaters (Propane/Butane)

390010xx Industrial Processes In

- process Fuel Use Liquefied Petroleum Gas

39901001 Industrial Processes Miscellaneous Manufacturing Industries Process Heater/Furnace (LPG)

40201004 Petroleum and Solvent Evaporation Surface Coatin g Operations Coating Oven Heater (LPG)

50390010 Waste Disposal Solid Waste Disposal

- Industrial Auxiliary Fuel/No Emissions (LPG)

2102008000

– Industrial; Wood; Total: All Boiler Types

102009xx External Combustion Boilers Industrial Wood/Bark Waste

3 90009xx Industrial Processes In

- process Fuel Use Wood

2102011000

– Industrial; Kerosene; Total: All Boiler Types

202009xx Internal Combustion Engines Industrial Kerosene/Naphtha (Jet Fuel)

a Note that EIA’s SEDS includes natural gas used as pipeline f uel (e.g., for use in compressor engines) in the Transportation sector rather than the Industrial sector Therefore, such pipeline use should not be included in the point source subtraction procedure.



### d. Emission Factors

The EPA has compiled criteria a nd hazardous air pollutant emission factors for non

- point source industrial fuel combustion categories (Huntley, 2009). These emission factors, which are too numerous to list here, are included in a spreadsheet within the ICI f uel

combustion workbook. In most cases, these are the same emission factors that were used in preparing the 2002 non

- point source NEI (Pechan, 2006). Industrial LPG and wood combustion emission factors were obtained from an ICI fuel combustion study being performed for the Central Regional Air Planning Association (CENRAP) (Pechan, 2009a).

### 100



### Potential Improvements

The following are potential improvements that states may wish to incorporate in developing non

- point source industrial fuel

combustion emission estimates:

 

### Investigate t he availability of more geographic and year

- specific estimates of non

- fuel use consumption of industrial energy (e.g., MECS is planning to release 2006 year data in the coming months);

 

### Consider implementing a county allocation procedure that Pechan develo ped for the Central Regional Air Planning Association (CENRAP) that reflects the energy

- intensity of each industrial sector

-- current methods only reflect number of employees in each industry sector (Pechan, 2009a); and

 

### Update SO 2 

### emission factors to refle ct coal sulfur content estimates for coal used in the industrial sector in 2006

-- a recent review of industrial coal sulfur content values for CENRAP concluded that the 2002 NEI values are based on unrepresentative data (Pechan, 2009b).



### A dditional Refer ences for Fuel Combustion

- Industrial

Census, 2009: Bureau of the Census, U.S. Department of Commerce, County Business Patterns 2006 , Washington, DC, available

from: http://www.census.gov/epcd/cbp/download/06_data/index.html accessed March 2009

.

### 101

Divita, 2008: Divita, Frank, E.H. Pechan & Associates, Inc., memorandum to Roy Huntley, U.S. Environmental Protection Agency

, “County Business Patterns Calculations ,” December 4, 2008.

EIA, 2008a: Energy Information Administration, U.S. Department of Energy, State Energy Data System

– Consumption, Physical Units, 1960

- 2006, available from http://www.eia. doe.gov/emeu/states/_seds.html , released November 28, 2008.

EIA, 2008b: Energy Information Administration, U.S. Department of Energy, Fuel Oil and Kerosene Sales , data available from http://tonto.eia.doe.gov/dnav/pet/pet_cons_821use_dcu_nus_a.htm , release date December 23, 2008.

EIA, 2007a: Energy Information Administration, U.S. Department of Energy, 2002 Manufacturing Energy Consumption Survey , U.S. Department of Energy , Energy Information Administration, accessed from http://www.eia.doe.gov/emeu/mecs/mecs2002/data02/shelltables.html , issued January 2007.

EIA, 2007b: Energy Information Administration, US Department of Energy, Documentation for Emissions of Greenhouse Gases in

the United States 2005 , DOE/EIA

- 0638 (2005), October 2007.

### 102

GASOLINE MARKETING (5 SCCs)

(Stage I SCC 2501060053, Stage II Uncontrolled SCC 2501060101, St age II Controlled SCC 2501060102, Underground Storage Tank Breathing and Emptying SCC 2501060201, Truck Transit SCC 2505030120)

Gasoline marketing involves the operations typically associated with transporting gasoline from refineries to final consumpti on in gasoline

- powered vehicles. Evaporative emissions of VOCs occur at all points in the distribution process. The operations that were inventoried as area sources are gasoline dispensing outlets and gasoline tank trucks in transit. Bulk terminals and outle ts are inventoried as point sources. VOC emissions result from the following sources: 1) Stage I (tank truck unloading into undergro und storage tanks), 2) Stage II (vehicle fueling), 3) Underground Storage Tank Breathing and Emptying, and 4) Truck Transit.

Each category’s emission factors were obtained from AP

- 42 Fire factors 1 

### . T hroughput s were calculated from monthly data obtained from the Pennsylvania Department of Revenue Bureau of Motor Fuel Taxes 2



### . County and state populations 3 

### were used to apportio n the gasoline throughput to each county. Control efficiency (CE) 4



### , 5 

### rule penetration (RP) 4



### , 5 

### and rule effectiveness (RE) factors were

1 

### U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Compilation of Air Pollutant Emission Factors, Volume I: Stationary Point and Area Sources , AP

- 42, Fifth Edition, Chapter 5 : Petroleum Industry, Table 5.2

- 7., January 1995, Accessed October 2009. http://www.epa.gov/ttn/chief/ap42/ch05/index.html

2 

### Pennsylvania Department of Revenue, “Monthly Revenue Report”, a ccessed October 2009. http://www.revenue.state.pa.us/revenue/cwp/view.asp?a=13&q=201148

3 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

4 

### 25 Pa. Code Secti on 129.60, “ Bulk Gasoline Plants,” available from http://www.pacode.com/secure/data/025/chapter129/s129.60.html

5 

### 25 Pa. Code Section 129.61, “Small Gasoline Storage Tank Contr ol (Stage I Control),” available from http://www.pacode.com/secure/data/025/chapter129/s129.61.html

### 103

applied to Stage I for each county to reflect the appli cation of vapor balance systems. A RE factor was applied to Stage II to each regulated county. CE, RP, and RE factors were applied to Underground Storage Tank Breathing to reflect the application of pressure relief valves. There were no point sources for t his source category. Each county’s emissions were estimated per the following sample

calculations.

SAMPLE VOC EMISSION CALCULATIONS:

Stage I :

where:

Emission Factor = 7.3 lbs VOC/1000 gallon s State Annual Gasoline Sales = 2,36 0,855,769 gallons/yea r County Population = 1,219,210 (Allegheny County)

State Population = 12,432,792 Control Efficiency (CE) = 96% Rule Penetration (RP) = 96% Rule Effectiveness (RE) = 80%

### 104

Stage II :

V ehicle re fueling VOC emissions were estimated using AP

- 42 factors

, monthly gasoline sales estimates and county populations.

These are the same gasoline sales figures that are used to estimate Stage I emissions.

Stage II control program information was included for the coun ties with controls based on program information regarding control efficiency from Pennsylvania. The Pennsylvania counties with Stage II controls are Allegheny, Armstrong, Beaver, Bucks, Butle r, Chester, Delaware, Fayette, Montgomery, Philadelphia, Washingt on, and Westmoreland

.

Population data were used to allocate monthly Pennsylvania gasoline sales to each county.

Stage I I C ontrolled :

where:

Emission Factor = 1 .1 lb / 1000 gallon s State Gasoline Consumption = 2,360,855,769 gallon s 2007 Allegheny County Pop = 1,219,210 2007 State Population = 12,432,792

### 105

Underground Storage Tank Breathing and Emptying :

where: Emission Factor = 1.0 lbs VOC/1000 gallons

2007 State Gasoline Sales = 2,360,855,769 gallons/year County Population = 1,219,210 (Allegheny County)

State Population = 12,432,792 Control Efficiency (CE) = 90% Rule Penetration (RP) = 96% Rule Effectiveness (RE) = 80%

### 106

Truck Transit :

where: Emission Factor = 0.06 lbs VOC/1000 gallons

State Annual Gasoline Sales = 2,360,855,769 gallons/year County Pop = 1,219,210 (Allegheny County)

State Pop = 12,432,792

(The emission factor is based on the assumption that gasoline delivery is via single trips and accounts for both full and empty truck travel.)

### 107

G RAPHIC ARTS (SCC 2425000000)

The graphic arts industry can be divided by technology into six different printing segments: roto gravure, flexographic, offset lithographic, letterpress, screen, and plateless (xerographic,electrostatic, magnetic, thermal, ink

- jet, etc.). Graphic arts include operations that are involved in the printing of publications, such as newspapers, magazines, books, and advertising, and also printed packaging on various substrates such as paper, plastic, foil bags, wrappers, cardboard cartons, and metal cans. Paper can be coated or uncoated. Films include polyethylene and a number of other polymers. Other produ cts include wall and floor coverings, greeting cards, and paper towels. Textiles are specifically excluded from the graphic arts operations source category.

Emissions of VOCs result from evaporation of solvents used in inks and cleaning. The emissions for each county were calculated using a per capita emission factor 1 

### and U.S. Census Bureau population data 2 

### . Point source emissions, where present, were subtracted

from these emission estimates.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Factor)(Population)

where:

Emission Factor = 4.4 lbs VOC/person/year 3


### Population = 1,219,210 (Allegheny County) 2

1 

### ERTAC Area Inventory Comparability Project, revised August 14, 2009, acces sed October 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

### 108

HOUSEHOLD PRODUCTS (SCC 2460200000)

Household products consist primarily of cleaning products for hard surfaces, clothing, carpet, dishes waxes and polishes. Other products include air fresheners and charcoal lighter fluids. These products have air emissions such as special napthas, alcoh ols, carbonyls and other organics that contain VOCs. The amo unt of VOCs emitted primarily depends on the VOC content of the product and the amount of product used.

County

- level emissions were calculated using a per capita emission factor which was obtained from the Emission Inventory Improvement Program (EIIP ) 1 

### an d U.S. Bureau of the Census 2007 population data 2



### . The emission factor represents pre

- control emission rates. A CE of 10.94 percent 3 

### and an RP of 48.6 percent 4 

### were applied to reflect the Federal Rule for consumer products. There are no point sources asso ciated with this category.

Each county’s emissions are estimated per the sample calculations listed below.

SAMPLE VOC EMISSION CALCULATIONS:

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 5, Consumer and Commercial Solvent Use,” Table 5.4

- 1, prepared for the Area Sources Committee, Emission Inventory Improvement Program, August 1996, available from http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html , accessed March 2009

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

3 

### ERTAC Recommendation, Midwest RPO Inventory Comparability Project, revised June 2, 2009, accessed June 2009.

4 

### E.H. Pechan & Associates, Inc., Control Measure Develo pment Support Analysis of Ozone Transport Commission Model Rules

, prepared for the Ozone Transport Commission, March 2001.

### 109

where:

Emission Factor = 0.79 lbs VOC/person/year 1


### Population = 1,219,210 (Allegheny County ) 1


### Control Efficiency = 10.94% RP (Rule Penetration) = 48.6% 4


### RE (Rule Effectiveness) = 100%

### 110

INDUSTRIAL MAINTENANCE COATINGS (SCC 2401100000)

The VOC emissions from this source category result from the evaporation of solvents from surface coating of objects and mater ials that may exist in extreme conditions. There were no point sources. The emissions for each county were calculated using a pe r capita

emission factor 1 

### and U.S. Census Bureau population data 2 

### . Each county’s emissions were estimated per the following s ample

calculations.

SAMPLE VOC EMISSION CALCULATIONS:

where:

Emission Factor = 0. 15 lbs VOC/person/year 1


### Population = 1,219,210 people (Allegheny County) 2

1 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed September 2009.

2 

### U.S. Department of Commerce, Bure au of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01 .html , accessed March 2009.

### 111

M ACHINERY AND EQUIPMENT (SCC 2401055000)

The VOC emissions from this source category result from the evaporation of the solvent used in the coating process in manufac turing facilities of such as engines, turbines, farm and garden equipment, computers, and office machinery. The emissions for each county were calculated using an employment

- based emission factor 1 

### and employee data 2 

### from NAICS Codes 333 1XX, 3332XX, 3333XX and

33341XX obtained from County Business Pattern

, with midpoin ts calculated by E.H. Pechan and Associates. Point source emissions, where present, were subtracted from the Machinery and Equipment category emission estimates.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Factor)(Number of Employees)

where:

VOC Emission Factor = 109 lbs VOC /employee/year 1


### Employees = 1,119 employees (Allegheny County) 2

1 

### ERTAC Area Inventory Comparability Project , revised August 18, 2009, accessed September 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment midpoint and adjustment factor

.

### 112

### 113

MARINE COATING (SCC 2401080000)

This source category includes ship and boat building and repairing. The emissions were calculated using an employment

- based

emission factor 1 

### an d employee data from NAICS codes 3366XX and 488390 . The number of employees in each county for 200 6 was collec ted by E.H. Pechan and Associates, who calculated the midpoints from any given ranges 2



### . Each county’s emissions were estimated per the following sample calculations below. Point source emissions, where present, were subtracted from these emis sion

estimate s.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Factor)(Number of Employees)

where:

Emission Factor = 198 lbs VOC /employee/year Employees = 5 employees (Allegheny County)

1 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed October, 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment midp oint and adjustment factor

.

### 114

### 115

METAL CA NS (SCC 2401040000)

This source category includes the manufacturing of metal cans, barrels, drums, kegs, and pails. The emissions from point sour ces, where present, were subtracted from the emissions of the corresponding county. The emissions for each c ounty were calculated per the calculation below using an employment

- based emission factor 1 

### an d employee data from NAICS Code 332431, obtained from County

Business Pattern s 2



### . Point source emissions, where present, were subtracted from these emission estimat es.

SAMPLE VOC EMISSION CALCULATION:

Annual VOC Emissions = (Emission Factor)(Number of Employees)

where:

Emission Factor = 2,326 lbs VOC/employee/yea r 1


### Employees = 10 employees (Allegheny County ) 2

1 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed September 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment midpoint and adjustment factor

.

### 116

### 117

METAL FURNITURE (SCC 2401025000)

This source category includes manufacturing metal household and office furniture, such as beds, cabinets, desks, bookcases, a nd

chairs. The emissions for each county were calculated per the sample calculations below using an employment

- based emission factor 1


### and employee data for NAICS codes 337124, 337214, and half of NAICS codes 337127, 339111 and 337215. The number of

e mployees in each county for 2007 was obt ained from County Business Patterns 2 

### for year 2006 by E. H. Pechan and Associates , who performed calculations for midpoints and adjustment factors for any ranges that were obtained . Point source emissions, where present, were subtracted from these emissio n estimates.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Factor)(Number of Employees)

where:

Emission Factor = 772 lbs VOC /employee/year Employees = 102 employees (Allegheny County)

1 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed September 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment

mi dpoint and adjustment factor

.

### 118

METAL SHEETS, STRIPS

, COILS (SCC 24 01045000)

This source category includes the manufacturing of metal sheets, strips and coils , of which functional coatings may be added for protective purposes. This can be accomplished by brushing, rolling, spraying, dipping, flow coating, electro

- coati ng, or specialized combinations or variations of these methods. Emissions result from the evaporation of the paint solvent and any additional s olvent

used to thin the coating and from the use of solvents in cleaning the surface prior to coating and in cle aning coating equipment after use.

Emissions for each county were calculated per the calculation below using an employment

- based emission factor 1 

### and employee data

from NAICS Codes 339911, 339914, 332812 and 339912 . The number of employees in each coun ty for 2006 was obtained from County Business Pattern s 2 

### by E. H. Pechan and Associates , who also performed the calculations of midpoints and adjustment factors

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Ser ies, Volume III, Area Sources, Chapter 8,

Industri al Surface Coating,” Table 8.5

- 1

, Principal Industrial Surface Coating SIC, September 1997, acce ssed September 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment midpoint and adjustment factor

.

### 119

fro m any associated ranges obtained

. The emissions from point sources, where present, were subt racted from the emissions of the corresponding county.

SAMPLE VOC EMISSION CALCULATION:

Annual VOC Emissions = (Emission Factor)(Number of Employees)

where:

Emission Factor = 2,877 lbs VOC/employee/year 1


### Employees = 514 emp loyees ( Allegheny County) 2

### 120

MI SCELLANEOUS MANUFACTURING (SCC 2401090000)

This source category includes small industrial surface coating establishments primarily engaged in manufacturing product s not classified in any other group such as jewelry, silverware, musical instruments, dolls, toys, games, pens, pencils, buttons, b rooms, and caskets. Operations involve applying a thin layer of coating, such as paint, lacquer, enamel and varnish, to an ob ject for decorative purposes. The surface coating products are either water

- based or solvent based liquid carriers that mostly evaporate in the drying or curing process.

The emissions for each county were calculated per the sample calculations below using a per capita emission factor 1 

### and U.S. Census Bureau population data 2 

### . Point source emissions, where present, were subtracted from these emission estimates.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emiss ions = (Emission Factor)( Population)

w here: Emission Factor = 0.6 lbs VOC/person/year Population =1,219,210 (Allegheny County)

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 8, Industrial Surface Coating,” Table 8.5

- 2, National Default Per Capita V OC Emission Factors, September 1997, accessed March 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

### 121

### 122

MISCELLANEOUS PRODUCTS (NOT OTHERWISE COVERED) (SCC 2460900000)

Miscellaneous consumer products not covered in the other product groups include arts and crafts supplies, non

- pesticidal veterinary and pet products, and pressurized food produc ts.

County

- level emissions were calculated using a per capita emission factor which was obtained from the Emission Inventory

I mprovement Program (EIIP) 1 

### and U.S. Bureau of the Census 2007 population data 2 

### . A CE of 0 percent 3 

### and an RP of 48.6 percen t 4


### were applied to reflect the Federal Rule for consumer products. There are no point sources associated with this category.

Each co unty’s emissions are estimated per the sample calculations listed below.

SAMPLE VOC EMISSION CALCULATIONS:

where:

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 5,

Consumer a nd Commercial Solvent Use,” Table 5.4

- 1, prepared for the Area Sources Committee, Emission Inventory Improvement Program, August 1996, available from http://www.epa.gov/ttn/ch ief/eiip/techreport/volume03/index.html , accessed March 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

3 

### ERTAC Recommendation, Midwest RPO Inventory Comparability Project, revised June 2, 2009, accessed June 2009.

4 

### E.H. Pechan & Associates, Inc., Control Measure Development Support Analysis of Ozone Transport Commission Model Rules

, prepared for the Ozone Transport Commission, March 2001.

### 123

Emission Factor = 0.07 lbs VOC/person/year 1


### Population = 1,219,210 (Allegheny County) 2


### Control Efficiency = 0% 3



### RP (Rule Penetration) = 48.6% 4


### RE (Rule Effectiveness ) = 100%

### 124

OPEN BURNING (3 CCs)

( Residential Household Waste SCC 2610030000; Residential Yard Waste

– Leaves, SCC 2610000100; Residential Yard Waste

- Brush SCC 2610000400)

Open burning can be done in open drums o r baskets, in fields and yards, and in large open dumps or pits. Materials commonly disposed of in this manner include household waste, landscape refuse, agricultural field refuse, wood refuse, and leaves. For emission inventory purposes, Open Burning is d ivided into four categories: Residential Household Waste ; Resi dential Leaf; Residential Brush ; Land C learing.

County

- level emissions were calculated for Residential Household Waste using a n emission factor which was obtained from the Emission Inventory I mprovement Program (EIIP) 1 

### an d U.S. Bureau of the Census 2000 2 

### and 2007 3 

### population data. There are no point sources associated with this category.

Throughput data was obtained from the percent Rural 2000 county population numbers applied to the 2007 coun ty populations

. The average household size 4 

### was considered to be 2.5 residents and the average amount of waste produced per household 4 

### was considered

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 16, Open Burning,” Table 16.4

- 1, Emission Factors for Open Burning of Municipal Refuse (EPA, 1997 & EPA,1995a) available at http://www.epa.gov/ttn/ chief/eiip/techreport/volume03/index.html , accessed December 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, 2000 Census Data, http://factfinder.census.gov/servlet/Down loadCenterServlet

3 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009

4 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 16, Open Burning,” Example 16.4

- 1, http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html , accessed December 2009.

### 125

to be 5.37 lbs/day or 1960.05 lbs/year or 0.9800 tpy

. The loading factor 4 

### was 6.7% to reflect the percent of rural households who actually burn their household trash.

For counties with areas labeled as Air Basins it was assumed that no open burning of household waste was being accomplished and

therefor e no emissions were calculated

.

SAMPLE CALCULATIONS:

Residential Household Waste Burning :

VOC Emission Factor = 8.560 lbs / ton waste/year

NO

x 

### Emission Factor = 6 lbs / ton waste/year

CO Emission Factor = 85 lb / ton waste/year

SO2 Emission Factor = 1. 0 lbs / ton waste/year PM10 Emission Factor = 38.0 lbs/ton waste/year

PM2.5 Emi ssion Factor = 34.8 lbs / ton waste/year

CO Emission Factor = 85 .0 lbs / ton waste/year Loading Factor = 0.067 tons waste/2.5 person household

Rural Households = 24,109 (Adams Coun ty

– this is non

- air basin county) CE (Control Efficiency) = 0 % RP (Rule Penetration) = 100% RE (Rule Effectiveness) = 80% (reflects PA’s Solid Waste rules)

### 126

VOC Emission s for Adams County:

Yard Wastes

Yard waste burning is th e open burning of materials such as grass clippings, leaves, and trimmings from trees and shrubs. Yard waste burning takes plac e where the waste is generated ( i.e., residences

, parks, institutions such a s universities or hospitals, office complexes

or oth er areas where grounds maintenance generates this type of waste) or waste disposal sites where wastes have been collected. Many municipalities, who provide leaf removal and composting, prohibit or restrict the burning of yard wastes.

County

- level emiss ions were calculated for the Open Burning categories of Residential Yard Waste

- Leaves and Residential Yard

Waste

- Brush using emission factor s obtained from AP

- 42 factors 1 

### , 1995

.

Throughput data was obtained by applying the percent Rural 2000 county p opulation 2 

### to the 2007 county populations 3 

### . The average

amount of leaf waste produced per person 1 

### was considered to be 0.64 lbs/day or 0.00728 tpy calculated for the months of September,

1 

### U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards, Compilation of Air Pollutant Emission Factors, Volume I: Stationary Point and Area Sources , AP

- 42, Fifth Edition, January 1995.

2 

### U.S. Department of Commerce, Bureau of the Census, 2000 Census Data, http://factfinder.census.gov/servlet/DownloadCenterServlet

3 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009

### 127

October and November

. The loading factor 2 

### of 28 % was applied to refle ct the percent of rural population who actually burn their yard

lea f waste . For counties with areas labeled as Air Basins it was assumed that no open burning of household waste was being accomplished and therefore no emissions were calculated.

Leaf Open B urning :

where:

VOC Emission Factor = 28 lbs/ ton waste/year

NO

x 

### Emission Factor = 6 .2 lb s/ ton waste/year

CO Emission Factor = 112 lbs / ton waste/year

SO2 Emission Factor = 0.76 lbs / ton waste/year

PM2.5 Emission Factor = 22 lbs / ton waste/year

PM10 Emissio n Factor = 22 lbs / ton waste/year Average amount Leaf Waste/person = 0.64 lbs/day or 58.24 lbs/person for ( Sept. Oct. Nov.) Yard Waste Average Composition = 50% grass/ 25% brush/25% leaves Average Leaf Waste per person = 14.56 lbs or 0.00728 tpy Loading F

actor = 0.28 to ns waste/person Population = 94,437 people (Adams County

– this is a non

- air basin county) CE (Control Efficiency) = 0 % RP (Rule Penetration) = 100% RE (Rule Effectiveness) = 80%

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 16, Open Burning,” 4.1.3 Yard Wastes, example (16.4

- 5) available at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html

, accessed December

2009.

2 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed December 2009.

### 128

Leaf Open Burning; Example PM10 Calculati o n for Adams County :



### Additional References for Open Burning:

E.H. Pechan & Associates, Inc., “Open Burning in Residential Areas, Emissions Inventory Development Report,” prepared for Mid

Atlantic/Northeast Visibility Union, January 3 1, 2004.

Pennsylvania Code, Section 25, Chapter 129.14 , available at http://www.pacode.com/secure/data/025/chapter129/s129.14.html

### 129

O THER SPECIAL PURPOSE COATINGS (SCC 24012 00000)

This category includes special purpose coatings used for applications such as maintenance operations at industrial and other facilities, auto refinishing, traffic paints, marine finishes, and aerosol sprays. Note that this category covers those sp ecific coating processes not already included in other source categories (e.g., Industrial Maintenance Coatings). Emissions for this category were estimat ed using a per capita emission factor 1 

### and U.S. Bureau of the Census population data 2 

### . Each county’s e missions were calculated per the following sample calculations.

SAMPLE VOC EMISSION CALCULATIONS:

where:

VOC Emission Factor = 0. 0 0 7 lbs VOC/person/year 1


### Population 1,219,210 (Allegheny County) 2

1 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed August 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

### 130

### 131

PAPER, FOIL AND FILM (SCC 2401030000)

This source category includes the manufacturing of paper
, foil and film. The emissions from point sources, where present, were

subtracted from the e missions of the corresponding county. Emissions for each county were calculated per the calculation below using an employment

- based emission factor 1 

### and employee data from NAICS Codes 322221, 322222, 322223, 322225 and 322226

. The number of employees in e ach county for 200 6 was obtained from County Business Patterns 2 

### by E. H. Pechan and Associates , who also performed the calculations of midpoints and adjustment factors fro m any associated ranges.

SAMPLE VOC EMISSION CALCULATION:

Annual VOC Emissions = (E mission Factor)(Number of Employees)

where:

Emission Factor = 735 lbs VOC/employee/year Employees = 862 employees ( York County)

1 

### ERTAC Area Invento ry Comparability Project , revised August 14, 2009, accessed September 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and mid points of the range, and calculated final activity data using the employment midpoint and adjustment factor

.

### 132

### 133

P ERSONAL CARE PRODUCTS (SCC 2460100000)

Personal care products include hair ca re products, deodorants and antiperspirants, perfumes, colognes, and nail care products. Ethanol and isopropanol are the primary solvents used in the formulation of these products. Each county’s emissions were calculated using a per capita emission facto r 1 

### which was obtained from the Emission Inventory Improvement Program (EIIP) and U.S. Bureau of the Census 2007 population data 2 

### . A c ontrol efficiency of 12.11% 3 

### and a rule penetration of 48.6% 4 

### are applied in the 2007 inventory to

reflect the Federal Rul e for consumer products . There are no point sources associated with this category.

SAMPLE VOC EMISSION CALCULATIONS:

where:

Emission Factor = 2.32 lbs VOC/person/year 1



### Population = 1,219,210 (All egheny County) 1

1 

### Eastern Research Group, “Emission Inventory Improvement Program, Document Series, Volume III, Area Sources, Chapter 5,

Consumer and Commercial Solvent Use,” Table 5.4

- 1, prepared for the Area Sources Committee, Emission Inventory Improvement Program, August 1996, available from http://www.epa.gov/ttn/chief/eiip/techr eport/volume03/index.html , accessed March 2009

2 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www.census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

3 

### ERTAC Recommendation, Midwest RPO Inventory Comparability Project, revised June 2, 2009, accessed June 2009.

4 

### E.H. Pechan & Associates, Inc

., Control Measure Development Support Analysis of Ozone Transport Commission Model Rules

, prepared for the Ozone Transport Commission, March 2001.

### 134

Control Efficiency = 12.11% 3



### RP (Rule Penetration) = 48.6% 4


### RE (Rule Effectivene ss) = 100%

### 135

PORTABLE FUEL CONTAINERS

– GASOLINE DISTRIBUTION (10 SCCs)

The following SCC (2501011011, 2501011012, 2501011013, 2501011014, 2501011015, 2501012011, 2501012012, 2501012013, 2501012014, 25 010 12015) categ or y’s emissions were calculated by E.H. Pechan and Associates. The following documentation was prepared by E.H. Pechan and Associates:

1. GASOLINE DISTRI BUTION

– PORTABLE FUEL CONTAINERS

Portable fuel containers (PFCs, or gas cans) are consumer product s used to refuel a wide variety of gasoline

- powered equipment.

The general approach to calculating emissions for this SCC is to take the inventories already prepared by the EPA for 2002 and 2010 and apply a linear fit between to get 2008 emissions.

For this source category, the following SCCs were assigned:

SCC Descriptor 1 Descriptor 3 Descriptor 6 Descriptor 8

2501011011 Storage and Transport Petroleum and Petroleum Product Storage Residential Portable Gas Cans Permeation

2501011012 Storage and Tran sport Petroleum and Petroleum Product Storage Residential Portable Gas Cans Evaporation (includes Diurnal losses)

2501011013 Storage and Transport Petroleum and Petroleum Product Storage Residential Portable Gas Cans Spillage During Transport

2501011014 Storage and Transport Petroleum and Petroleum Product Storage Residential Portable Gas Cans Refilling at the Pump

- Vapor Displacement

2501011015 Storage and Transport Petroleum and Petroleum Product Storage Residential Portable Gas Cans Refilling at the Pump

- Spillage

2501012011 Storage and Transport Petroleum and Petroleum Product Storage Commercial Portable Gas
Cans Permeation

### 136

2501012012 Storage and Transport Petroleum and Petroleum Product Storage Commercial Portable Gas
Cans Evaporation (includes D iurnal losses)

2501012013 Storage and Transport Petroleum and Petroleum Product Storage Commercial Portable Gas
Cans Spillage During Transport

2501012014 Storage and Transport Petroleum and Petroleum Product Storage Commercial Portable Gas
Cans Refilling at the Pump

- Vapor Displacement

2501012015 Storage and Transport Petroleum and Petroleum Product Storage Commercial Portable Gas
Cans Refilling at the Pump

- Spillage



### Activity data for the 2002 and 2010 inventories were developed using EPA’s Non

- road Model which uses a variety of variables like equipment size, equipment population, equipment age, RVP, and air temperature to estimate activity.

There are at least 15 states which have enacted or are considering rules for PFCs. Due to the complexities i n calculating emissions, these rules have already been accounted for in the emissions, but will not be listed in the control table.

Section 2.2 of the EPA PFC report details emission factors used for each of the activities associated with PFCs.

Emissio ns are calculated in the formula :

Emis County, Pollutant 

### = m x year diff 

### + Emis 2002



### w here :

m = (Emis 2010


### – Emis 2002 

### ) / (2010

– 2002)

### 137

Example:

Using SCC 2501011011 in Allegheny County PA as an example:

Emis 2010 

### = 60. 7 tons VOC

Emis 2002 

### = 181.7 ton s VOC

m = (60.7

– 181.7) / (2010

– 2002) =

- 15.125

Emis Alegheny

, VOC 

### =

- 15.125 x (2008

- 2002) + 181.7

= 90

. 95 t ons V O C

Reference: U.S. Environmental Protection Agency

. Estimating Emissions Associated with Portable Fuel Containers (PFCs)

. Ann Arbor Michigan. February 2007

.

### 138

PUBLIC OWNED TREATMENT WORKS (SCC: 2630020000)

Public Owned Treatment Works (POTWs) are wastewater treatment plants typically owned by municipalities in Pennsylvania

. Year

2007 POTW flow rate data for Pennsylvania fac ilities was extrapolated by E.H. Pechan and Associates from EPA national projections 1 

### and allocated to county

- level by population 2



### . VOC Emission Factor based on a TriTAC study 3 

### per E.H. Pechan and

Associates.

SAMPLE VOC CALCULATIONS:

2007 County Waste water Flow = (Nat. Wastewater Flow)(County Population/Nat. Population)

where:

2007 National Wastewater Flow = 13,423,66 0 million gallons 1


### 2007 County Population (Allegheny) = 1,219,210 4



### 2007 National Population = 301,2 90,332 5

1 

### Projected national POTW flow rates from EPA

2 

### National flow rate allocated to county

- level by population , by E.H. Pechan and Associates.

3 

### VOC Emission Factor based on a TriTAC study. Prakasam Tata, Jay Witherspoon, Cecil Lue

- Hing (eds.), VOC Emissions from Wastewater Treatment Plants: Characterization, Control, and Compliance , Lewis Publishers, 2003, p. 2 61

.

4 

### U.S. Department of Commerce, Bureau of the Census, “ Population Estimates Program ,” T1. Population Estimates [10] data Set: 2007 Population Estimates, available from http://www. census.gov/popest/counties/CO

- EST2007

- 01.html , accessed March 2009.

5 

### 2007 US population found at U.S. Census Bureau, http://factfinder.census.gov/servlet/GCTTable?_bm=y&

- geo_id=01000US&

- _box_head_nbr=GCT

- T1

- R&

- ds_name=PEP_2008_EST&

- _lang=en&

- format=US

- 40S&

- _sse=on

### 139

SAMPLE VOC CALCULATIONS:

where:

Emission Factor = 0.85 lbs VOC/millions of gallons flow 3



### Wastew ate r Flo w = 54,320.5632 million gallons (Allegheny County) 2

### 140

RAILROAD SOLVENTS (SCC 2401085000)

This source category includes Railcar building and repairing. The emissions were calculated using an employment

- based emission

factor 1 

### and employee data from NAICS code 336 5 XX. The number of employees in each county for 2006 was collected by E.H. Pechan and Associates, who calculated the midpoints from any given ranges 2 

### . Each county’s emissions were estimated per the following sample calculations below. Point source emissions, where present, were subtracted from these emission estimates.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissions = (Emission Factor)(Number of Employees)

where:

Emission Factor = 222 lbs VOC /employee/year Employees = 172 2.89 employees ( Allegheny County)

1 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, ac cessed October 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment flag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data u sing the employment midpoint and adjustment factor

.

### 141

### 142

RESIDENTIAL COAL FOSSIL FUEL COMBUSTION (2 SCCs: SCC 2104001000, SCC 2104002000)

Residential Coal Combustion is coal that is burned to heat residential housing.

These documentatio n and fuel combustion emissions were calculated by E. H. Pechan and Associates. References are listed at the end

of the Residential Coal Fossil Fuel Combustion section. The general approach to calculating emissions for these two SCCs is to take

state coa l c onsumption values from the EIA and allocate it to the county level using methods described below. County

- level coal consumption is multiplied by the emission factors to calculate emissions.

For this source category, the following SCCs were assigned:

SCC Descriptor 1 Descriptor 3 Descriptor 6 Descriptor 8

2104001000 Stationary

Source Fuel
Combustion Residential Anthracite Coal All Boiler Types

2104002000 Stationary

Source Fuel
Combustion Residential Bituminous/
Subbituminous
Coal All Boiler

Types

A ctivity Data

The mass of coal consumed by residential combustion in the U.S. was used to estimate emissions. Coal consumption by energy u se sector is presented in State Energy Data 2006 Consumption tables published by the Energy Information Administratio n (EIA). 1 

### Year 2006 consumption data were used as a surrogate for 200 7 emissions because year 2006 data were the latest data available when this inventory was prepared.

Fuel

- Specific Activity Data Adjustments

Coal

- for residential coal combustion, t he E IA data do not distinguish between anthracite and bituminous coal consumption estimates. (i.e., anthracite ver sus bituminous/sub

- bituminous) Because anthracite is mined in the eastern half of the Commonwealth, while

### 143

bituminous is mined in the western half , the emission calculations assume that eastern counties burn anthracite coal while western

counties burn bituminous coal.

State

- level coal consumption was allocated to each county using the US Census Bureau’s 2000 Census Detailed Housing

Information. 3 

### Th ese data include the number of housing units using a specific type of fuel for residential heating. State coal consumption was allocated to each county using the ratio of the number of houses burning coal in each Anthracite or Bituminous coal

burning count y to the total number of Anthracite or Bituminous coal

- burning housing units in the State.

No controls were assumed for this category

Emission Factors

In some cases (see Table 2), SO 2 

### and PM emission factors required information on the sulfur and/or ash content of the coal burned.

State

- specific sulfur and ash contents of anthracite and bituminous coal were obtained from data compiled in preparing the 1999

residential coal combustion emissions estimates. 4 

### This study mostly relied on data obtained from U SGS COALQUAL database. States not included in the database but that reported coal usage were assigned values based on their proximity to coal seams or using an average value for Pennsylvania (see report for details of the analysis).

Table 3 presents th e bituminous coal sulfur content values used for each state. For anthracite coal, an ash content value of 13.38% and a sulfur content of 0.89% were applied to Pennsylvania.

The remaining criteria pollutant and HAP emissions were calculated by multiplying the total coal consumed in each county per year by an emission factor. All emission factors except ammonia are from AP

- 42. 5 

### Table 4 presents a summary of the emission factors for residential anthracite coal combustion (SCC 2104001000). Table 5 present s a summary of the emission factors for residential bituminous coal combustion (SCC 2104002000).

Sample Calculations

Annual emissions are calculated for each county using emission factors and activity as:

E x,p 

### = FC

x 

### × EF

x,p

### 144

where:

E

x,p 

### = annual emissi ons for fuel type x and pollutant p ( lbs /year),

FC

x 

### = annual fuel consumption for fuel type x,

EF x,p 

### = emission factor for fuel type x and pollutant p.

County level fuel consumption is calculated using:

FC

x 

### = A State 

### x Ratio County houses



### where:

A Sta te 

### = total tons of coal reported by the EIA,

Ratio County houses 

### = county allocation ratio ba sed on number of houses burning coal per Anthracite coal

- burning count ies or per Bituminous coal

- burning counties

.

Example:

Using Allegheny County, PA as an ex ample:

Allegheny County, PA , labeled a Bituminous coal

- burning county, had 183 houses out of the state total of 19,921 Bituminous coal

burning house s that use coal as the primary heating fuel. This equates to a share of 0.9186 % of the 9,687.54 tons of co al used for residential heating in the sta te.

The emission factor for PM 2.5 

### - FIL Bituminous (See Table 2 ) is 3.8 lb/ton of coal burnt

FC Allegheny, anth 

### = 9,687.54 × 0 .9186% = 88. 9897 tons Bituminous coal

Emis Allegheny, anth, PM2.5

- FIL 

### = 88.9897 tons Bi tuminous coal × 3.8 lbs PM 2.5 

### - FIL per ton coal

= 338.1610 lbs PM 2.5 

### - FIL

### 145

Table 2. SO 2 

### and PM Emission Factors for Industrial Anthracite and Bituminous Coal Combustion

Pollutant Emission Factor

(lb/ton) AP

- 42 Table

Anthracite Emission Factors (SCC 2104 001000)

PM

- CON 0.08* % Ash 1.2

- 3

PM10

- FIL 10 1.2

- 4

PM25

- FIL 0.6 * % Ash 1.2

- 4

Sulfur Dioxide 39 * % Sulfur 1.2

- 1

Bituminous Emission Factors (SCC 2104002000)

PM

- CON .04 1.1

- 5

PM10

- FIL 6.2 1.1

- 9

PM25

- FIL 3.8 1.1

- 9

Sulfur Dioxide 31 * % Sulfur 1.1

- 3

NOTE: PM 10 

### , PM 2.5 

### , and condensable PM emission factors for bituminous coal do not require ash content, nor does the
condensable PM emission factor for anthracite coal.

### 146

Table 3. State

- Specific Sulfur Content for Bituminous Coal (SCC 2104002000)

State Percent

Sulfur
Content State Percent
Sulfur
Content

Alabama 2.08 Montana 0.60

Alaska 0.31 Nebraska 2.43 Arizona 0.47 Nevada 2.30 Arkansas 1.20 New Hampshire 2.42 California 0.47 New Jersey 2.42 Colorado 0.61 New Mexico 0.75 C onnecticut 2.42 New York 2.42 Delaware 1.67 North Carolina 1.62 District of
Columbia 1.67 North Dakota 0.97

Florida 1.28 Ohio 3.45 Georgia 1.28 Oklahoma 3.08 Hawaii 1.00 Oregon 0.50 Idaho 0.31 Pennsylvania 2.42 Illinois 3.48 Rhode Island 2.42 India na 2.49 South
Carolina 1.28 Iowa 4.64 South Dakota 0.97 Kansas 5.83 Tennessee 1.62 Kentucky 1.93 Texas 1.14 Louisiana 0.86 Utah 0.80 Maine 2.42 Vermont 2.42 Maryland 1.67 Virginia 1.19 Massachusetts 2.42 Washington 0.50 Michigan 1.20 West Virginia 1.25 Minnesota 0.97 Wisconsin 1.00 Mississippi 1.24 Wyoming 0.87 Missouri 3.39

### 147

Table 4. National Criteria Emission Factors for Residential Coal Combustion (SCC 2104001000 and 2104002000)

7439921 LEAD 0.00042 LB TON

CO CARBON MONOXIDE 275 LB TO N

NOX NITROGEN OXIDES /Anthracite 3 LB TON

VOC VOLATILE ORGANIC COMPOUNDS 10 LB TON

NOX NITROGEN OXIDES /Bituminous 9.1 LB TON

References

1. U.S. Department of Energy, Energy Information Administration (EIA). State Energy Data 2006 Consumption. Washington, DC 2008. Internet Address: http://www.eia.doe.gov/emeu/states/sep_use/total/csv/use_all_phy.csv accessed November 2008.

2. EIA, 2008. U.S. Department of Energy, Energy Information Administration, “Domestic Distribution of U.S. Coal by

Dest ination State, Consumer, Origin and Method of Transportation”, 2006. Available from: http://www.eia.doe.gov/cneaf/coal/page/coaldistrib/coal_distributions.html, accessed December 2008.

3. U.S. Census Bureau. "Table H40. House Heating Fuel Type", Census 2000: Summary File 3. Internet address: http://factfinder.census.gov/servlet/DatasetMainPageServlet?_program=DEC&_submenuId=&_lang=en&_ts=, accessed July

2009.

### 148

4. U.S. Environmental Protection Agency. Emission Factor and Inventory Group. Final Summar y of the Development and Results of a Methodology for Calculating Area Source Emissions from Residential Fuel Combustion. Prepared by Pacific Environmental Services, Inc. Research Triangle Park, NC. September 2002. Internet address: http://www.epa.gov /ttn/chief/eiip/techreport/volume03/draft1999_ residfuel_inven_apr2003.zip accessed November 2004.

5. U.S. Environmental Protection Agency. Compilation of Air Pollutant Emission Factors, 5th Edition, AP

- 42, Volume I: Stationary Point and Area Sources. Research Triangle Park, North Carolina. 1996.

6. U.S. Environmental Protection Agency. Emission Factor and Inventory Group. Estimating Ammonia Emissions from Anthropogenic Sources, Draft Report. Prepared by E.H. Pechan and Associates, Inc. Research T riangle Park, NC. September

2003.

### 149

RESIDENTIAL FUEL OIL/KEROSENE COMBUSTION (2 SCCs: SCC 2104004000, SCC 2104011000)

Distillate oil and kerosene combustion sources emit VOC, NO

x 

### , CO, SO 2 

### , Pb, and PM

. Fuel oil and kerosene emissions were calculated for each county using fuel use estimates derived by allocating Commonwealth consumption estimates from the Energy

Information Administration to individual counties . The county allocations were performed using data obtained from the American

Comm unity Survey and the U.S. Census Bureau.

SAMPLE CALCULATIONS:

Residential Distillate Fuel Oil/Kerosene :

Residential fuel oil and kerosene usage was determined by allocating the residential fuel oil and kerosene use to each county. The

residentia l fuel consumption was allocated by the ratio of dwelling units (DU) using distillate fuel oil/kerosene in a county to the number of dwelling units burning distillate fuel oil/ kerosene in the Commonwealth. The following is the general equation for the

calc ulation of usage for residential sources of fuel oil and kerosene combustion.

where:

PA Residential Fuel Oil = 7 0 6, 956 thousand gallons 1


### 2007 County Fuel Oi/Kerosene Burning DUs = 6916 Dwelling Units (Allegheny County) 2



### 2007 State Fuel Oil/Kerosene

- Burning DUs = 1,118,774 Dwelling Units 1

1 

### Energy Information Administration, Pennsylvania Sales of Distillate Fuel Oil and Kerosene by End Use, http://tonto.eia.d oe.gov/dnav/pet/pet_cons_821use_dcu_SPA_a.htm

, accessed May 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, B25040, “House Heating Fuel, Occupied Housing Units, 2005

- 2007 American Community Survey 3

- year Estimates, accessed May 2009.

### 150

VOC Emissions :

where:

Distillate Fuel Oil:

VOC Emission Factor = 0. 7 lbs/1000 gallons/year 1



### NO

x 

### Emission Factor = 18 lbs/1000 gallons/yea r 1


### CO Emission Factor = 5 lbs/1000 gallons/year 1



### SO 2 

### Emission Factor = 142 lbs/1000 gallons/year  0.3% sulfur content = 0.426 lbs/1000 gallons/year 1



### PM10

- FIL Emission Fa ctor = 1.08 lbs/1000 gallons/year 2



### PM25

- FIL Emission Factor = 0.83 lbs/1000 gallons/year 2



### PM

- CON Emission Factor = 1.3 lbs/1000 gallons/year 2



### Lead Emission Factor = 0.001268 lbs/1000 gallons /year 3


### Distillate Fuel Sulfur Content = 0.3% 4

1 

### VOC, NOx, CO and SO2 emission factor s are from WEBFIRE (3//19/09).

2 

### PM emission factors are from US EPA Document

- A National Methodology and Emission Inventory for Residential Fuel Combustion by Bernd H. Haneke presented at 2003 EPA EI conference. These emi ssion factors are primarily from AP

- 42

.

3 

### U.S. Environmental Protection Agency, Emission Factors and Inventory Group. “Documentation for the 1999 Base Year Non

- point Area Source National Emission Inventory for Hazardous Air Pollutants.” Prepared by East ern Research Group, Inc. Morrisville, NC. September 2002.

4 

### AP

- 42

### 151

VOC Emissions for Distillate Oil :

Where:

Kerosene:

VOC Emission Factor = 0. 672 lbs/1000 gallons/year 1



### NO

x 

### Emission Factor = 17.3 lbs/1000 gallons/year 1



### CO Emission Factor = 4.8 lbs/1000 gallons/year 1



### SO 2 

### Emission Factor = 142 lbs/1000 gallons/year  0.3% sulfur content = 0.426 lbs/1000 gallons/year 1



### PM10

- FIL Emission Factor = 1 .03 lbs/1000 gallons/year 1



### PM25

- FIL Emission Factor = 0.8 lbs/1000 gallons/year 1

1 

### E mission factors for kerosene were obtained by multiplying the emission factors for distillate oil by a factor of 135/140 to convert

them for this use. This factor is based on the rati o of the heat content of kerosene (135,000 Btu/gallon) to the heat content of distillate oil (140,000 Btu/gallon). Criteria pollutant emission factors are from AP

- 42. Distillate sulfur content (0.30%) was used for kerosene

as well

.

### 152

PM

- CON Emission Factor = 1. 25 lbs/1000 gallons/year 1



### Lead Emission Factor = 0.001268 lbs/1000 gallons/year 1


### Distillate Fuel Sulfur Content = 0.3% 1



### 2007 PA Residential Kerosene Usage = 39,702 ,000 gallons 1



### County Dwelling Units Heating with Distillate Oil or Kerosen e = 6916 (Allegheny County) 2



### 2007 State Fuel Oil/Kerosene

- Burning DUs = 1,118,774 Dwelling Units 1



### CO Emissions for Kerosene :

Since the 2005

- 2007 American C ommunity Survey did not include the six small populated counties in Pennsylvania (namely Cameron, Forest, Fulton, Montour, Potter and Sullivan counties) in their estimations of Occu pied House Heating Fuel Units, t hese omissions were accounted for by taking the ratio of 2005

- 7 Averaged Total County Fuel Oil /Kerosene H eated Housing Units (not including the 6 Small Counties) to the 2007 Total State Housing Units (minus the 6 Small Counties' Housing Units) and by that percent find the 6 Small County Fuel Oil /Ke rosene Heat ed Housing Units (HU). The following is the general equation for the

calculation of the 6 Small County Fuel Oil /Kerosene Heat ed Housing Units.

1 

### Energy Information Administration, Pennsylvania Sales of Distillate Fuel Oil and Kerosene by End Use, http://tonto.eia.doe.gov/dnav/pet/pet_cons_821use_dcu_SPA_a.htm

, accessed May 2009.

### 153

where:

PA Total Housing Units (minus the 6 Small Counties) = 5,430,234 1



### Pa Total Fuel

- Oil/Kerosen e

- Burning DUs (not including the 6 Small Counties) = 1,109,046 2


### County (Cameron) Total Housing Units= 4,592 1

1 

### U.S. Department of Commerce, Bureau of the Census, Housing Unit Estimates, Data Set 2007 Population Estimates, Note: For information on errors stemming from model error, sampling error, and non

- sampling error, see: http://www.census.gov/popest/topics/methodology , accessed May 2009.

2 

### U.S. Dep artment of Commerce, Bureau of the Census, B25040, “House Heating Fuel, Occupied Housing Units, 2005

- 2007 American Community Survey 3

- year Estimates, accesse d May 2009.

### 154

RESIDENTIAL L IQUIFIED P ETROLEUM G AS (LPG) (SCC 2104007000 )

Liquefied petroleu m gas (LPG) is used in residential heating. Area source LPG was estimated using fuel consumption data and AP

- 42 emission factors. Consumption data were apportioned according to the number of dwelling units heating with LPG, which was

availab le from U.S. Ce nsus Bureau data. LPG consumption was obtained from the Energy Information Administration’s State Energy

Data 2001. 1 

### Each county’s emissions were estimated using the sample calculations below.

SAMPLE CALCULATIONS:

Residential LPG for Allegheny Co. :

where: VOC Emission Factor = 0.52 lbs/1000 gallons/year 2



### NO

x 

### Emission Factor = 13.40 lbs/1000 gallons/year 2



### CO Emission Factor = 3.80 lbs/1000 gallons/year 2



### SO 2 

### Emission Factor = 0.06 lbs/1000 gallons/year 2

1 

### Energy Information Administration (eia), State Energy Data System (SEDS) 2007, released March 2009, accessed May 2009, found

at 'http://www.eia.doe.gov/states/_seds_whats_new.html

.

2 

### Base d o n AP

- 42 nat ural gas emission factors, converted t o LPG using heat contents. ERTAC Area Inventory Comparability Project

, revised August 14, 2009, accessed August, 2009.

### 155

PM10

- FIL Emission Factor = 0.02 lbs/1000 gallons/year 2



### PM25

- FIL Emission Factor = 0.01 lbs/1000 gallons/year 2



### PM

- CON Emission Factor = 0.03 lbs/1000 gallons/year 2


### Residential LPG Consumption = 222,936,000 gallons 1


### County Dwelling Units Heating with LPG = 5318 units (Allegheny County) 1


### PA Dwelling Units Heating with LPG = 178,821 units ( plus prorated values for 6 smaller counties, see below for calculation) 1



### VOC Emissions :

CO Emissions :

1 

### U.S. Department of Commerce, Bureau of the Census, B25040, “House Heating Fuel, Occupied Housing Units, 2005

- 2007 American Community S urvey 3

- year Estimates, accessed May 2009.

### 156

Since the 2005

- 2007 American Community Survey did not include the six small populated counties in Pennsylvania (namely Cameron, Forest, Fulton, Montour, Potter and Sulli van counties) in their estimations of Occupied House Heating Fuel Units, these omissions were accounted for by taking the ratio of 2005

- 7 Averaged Total County LPG Heated Housing Units (not including the 6 Small Counties) to the 2007 Total State Housing Un its (minus the 6 Small Counties' Housing Units) and by that percent find the 6 Small County LPG Heated Housing Units (HU). The following is the general equation for the calculation of the 6 Small County L PG Heated Housing Units.

where: PA Total Housing Units (minus the 6 Small Counties) = 5,430,234 1



### Pa Total LPG

- Burning DUs (not including the 6 Small Counties) = 178,821 2


### County (Cameron) Total Housing Units= 4,592 1

1 

### U.S. Department of Commerce, Bureau of the Census, Housing Unit Estimates, Data Set 2007 Population Estimates, Note: For information on errors stemming from model error, sampling error, and non

- sampling error, see: http://www.census.gov/popest/topics/methodology , accessed May 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, B25040, “House Heating Fuel, Occupied Housing Units, 2005

- 2007 American Community Survey 3

- year Estimates, accessed May 2009.

### 157

R ESIDENTIAL NATURAL GAS (SCC 2104006000)

Area source natural gas was estimated using fuel consumption data 1 

### and AP

- 42 emission factors 2 

### and adjusted PM emission factors 3



### . Consumption data were apportioned according to the number of dwelling units heating with natural gas, which was available from U.S. Census Bureau data for residential sources). Each county’s emissions were estimated using the sample calculations below.

SAMPLE CALCULATIONS:

Natural Gas :

Residential Natural Gas :

1 

### Energy Information Administration

, Pennsylvania Natural Gas Residential Consumption (MMCF),

see: http://tonto.eia.doe.gov/dnav/pet/hist/n3010us2m.htm

, accessed May 2009

.

2 

### VOC (TOC*.95), NOx, CO and SO2 efs are from WEBFIRE (3//19/09).

3 

### PM emission factors were adjusted lower than the 2002 NEI to account for lower estimates for co ndensable emissions. ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed August, 2009.

### 158

where:

VOC Emi ssion Factor = 5.5 lbs/MMCF (million cubic feet)/year 2



### NO

x 

### Emission Factor = 94 lbs/MMCF/year 2


### CO Emission Factor = 40 lbs/MMCF/year 2



### SO 2 

### Emission Factor = 0.6 lbs/MMCF/ year 2



### PM10

- FIL Emission Factor = 0. 2 lbs/MMCF/year 3



### PM25

- FIL Emission Factor = 0. 11 lbs/MMCF/year 3



### PM

- CON Emission Factor = 0.32 lbs/MMCF/year 3


### Pb Emission Factor = 0.0005 lbs/MMCF/year 2



### where:

2007 PA Residential Natural Gas Consumption = 231,258 MMCF 1



### County Dwelling Units Heating with Natural Gas = 455,921(Allegheny County) 2


### State Dwelling Units Heating wit h Natural Gas = 2,516,263 Units 2



### VOC Emissions :

1 

### Energy Information Administration

, Pennsylvania Natural Gas Residential Consumption (MMCF),

see: http://tonto.eia.doe.gov/dnav/pet/hist/n3010us2m.htm

, accessed May 2009

.

2 

### U.S. Department of Commerce, Bureau of the Census, B25040, “House Heating Fuel, Occupied Housing Units, 2005

- 2007

A merican Community Survey 3

- year Estimates, accessed May 2009.

### 159

Since the 2005

- 2007 American Community Survey did not include the six small populated counties in Pennsylvania (namely Cameron, Forest, Fulton, Montour, Potter and Sullivan counties) in their estimations of Occu pied Natural Gas Heating Dwelling Units, t hese omissions were accounted for by taking the ratio of 2005

- 7 Averaged Total County Natural Gas H eated Dwelling Units (not including the 6 Small Counties) to the 2007 Total State Housing Units (minus the 6 Small Counties' Housing Units) and by that percent find the 6 Small County Natural Gas Heat ed Housing Units (HU). The following is the general equation for the calculation of

the 6 Small County N atural Gas Heat ed Dwelling Units.

### 160

where:

PA Total Housing Units (minus the 6 Small Counties) = 5,430,234 1



### Pa Total NG

- Burning Dwelling Units (not including the 6 Small Counties) = 2,494,384 2



### County (Cameron) Total Housing Units= 4,59 2 1

1 

### U.S. Department of Commerce, Bureau of the Census, Housing Unit Estimates, Data Set 2007 Population Estimates, Note: For information on errors stemming from model error, sampling error, and n on

- sampling error, see: http://www.census.gov/popest/topics/methodology , accessed May 2009.

2 

### U.S. Department of Commerce, Bureau of the Census, B25040, “House Heating Fuel, Occupied Housin g Units, 2005

- 2007 American Community Survey 3

- year Estimates, accessed May 2009.

### 161

TRAFFIC LINE PAINTING (SCC 2401008000)

Traffic paints are used to mark pavement in applications such as dividing lines for traffic lanes, parking space markings, cr osswalks,

and arr ows. The markings are usually applied by Commonwealth or local highway maintenance crews. VOC emissions result from the evaporation of organic solvents during and shortly after application of the marking paint. Each county’s emissions were calculated by us ing county

- level lane miles totals 1 

### and a lbs VOC/lane mile emission factor 2



### . There are no point sources associated with this category.

SAMPLE VOC EMISSION CALCULATION :

where:

Emission Factor = 10.5 lbs VOC/lane mile

Lane Miles =1 2

, 525.22 (Allegheny County)

1 

### Penn DOT Bureau of Planning and Research, http://www.dot.s tate.pa.us/Internet/Bureaus/pdPlanRes.nsf/PlanningAndResearchHomePage?OpenFrameset

2 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed October, 2009.

### 16 2

### 163

WINERIES (SCC 2302070005)

Winery emissions result from the entrainment of ethanol by carbon dioxide during wine fermentation. Factors affecting ethanol

emission s are handling techniques, temperature, process equipment design, and fermenting parameters. Other sources of emissions from the wine making process are blending, transferring, racking and storing of the wine.

Emissions were determined using 2007 county

- level wine production data provided by the U.S. Department of the Treasury, Alcohol

and Tobacco Tax and Trade Bureau. 1 

### Because monthly production data were available, these data were used to develop the seasonal allocation factors for this category. The e mission factors for both red and white wines were obtained from AP

- 42. 2


### Since the emission factors for the two types of wines are different, but wine type production data are not available, wine pr oduction in the Commonwealth was assumed to be 60 percent w hite wine and 40 percent red wine. Point source emissions, where present, were subtracted from these emission estimates. Each county’s emissions were estimated per the following sample calculations.

SAMPLE VOC EMISSION CALCULATIONS:

Annual VOC Emissio ns = (0.6  White Wine Emission Factor + 0.4  Red Wine Emission Factor)  (2007 Total Wine Production)

1 

### Alcohol and Tobacco Tax and Trade Bur eau, Department of the Treasury

, 20 07

– Wine Statistical Information. http://www.ttb.gov/statistics/07winestats.shtml and http://www.ttb.gov/foia/frl.shtml , accessed March 2009.

2 

### From Table 9.12.2

- 1 of emission factor documentation for AP

- 42 Section 9.12.2 Wines and Brandy , October 1995, available from http://www.epa.gov/ttn/chief/ap 42/ch09/final/c9s12

- 2.pdf

, accessed March 2009

.

### 164

where:

White Wine Emission Factor = 1.8 lbs VOC/1000 gallons white wine/year 2



### Red Wine Emission Factor = 4.6 lbs VOC/1000 gallons red wine/year 2



### 2007 Total Wine Production = 23.78 thousand gallons (Allegheny County) 1


### 2007 Summer Wine Production = 3.000 thousand gallons (Allegheny County) 1



### White Wine Production Factor = 60% of wine produced Red Wine Production Factor = 40% of wine produced

where:

### 165

WOOD FURNITURE AND FIXTURES (SCC 2401020000)

This source category includes establishme nts engaged in the manufacture of wood home or office furniture. VOC emissions result from the evaporation of solvents used in the finish coats and cleanup procedures. Point source emissions, where present, were

subtracted from these emission estimates. Ea ch county’s emissions were calculated according to the sample calculations below using a per employee emission factor 1 

### and the number of employees in NAICS codes 337110, 337121, 337122, 337219, 337211, 337212 and

one half of NAIC S codes 337127, 337215 and 339111

. The number of employees in each county for 200 6 was obtained from County

Business Patterns 2



### .

SAMPLE VOC EMISSION CALCULATION:

Annual VOC Emissions = (Emission Factor)(Employees)

where:

Emission Factor = 244 lbs VOC/employee/year Employees = 387 employees (Allegheny County)

1 

### ERTAC Area Inventory Comparability Project , revised August 14, 2009, accessed September, 2009.

2 

### National, State and County level employment data downloaded from US Census Bureau, mapping of employment fl ag letters reported by County Business Patterns to the range and midpoints of the range, and calculated final activity data using the employment midpoint and adjustment factor

.

### 166

### 167

ACKNOWLEDGEMENTS

The format and some of the wording of this document were originally created by E.H. Pechan & Associates, Inc., 3622 Lyckan Parkway, Suite 2002, Durham, NC 27707. Updated values were inserted in place of those originally entered to reflect changes between years 2002 and 2007. Some changes were made to correct or update comments in the document.

T HE END

# Appendix B2 - York - Area values

STATE FIPS CNTY

NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION TF_SCC TF ORIGINAL GROWTH FACTOR REFERENCE

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2102001000 Stationary Fuel Comb /Industrial /Anthracite Coal /Total: All Boiler Types NO 1 AEO2010; MA; Industrial; Coal

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2102004000 Stationary Fuel Comb /Industrial /Distillate Oil /Total: Boilers and IC Eng NO 1 AEO2010; MA; Industrial; Distillate

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2102005000 Stationary Fuel Comb /Industrial /Residual Oil /Total: All Boiler Types NO 1 AEO2010; MA; Industrial; Residual

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2102006000 Stationary Fuel Comb /Industrial /Natural Gas /Total: Boilers and IC Engine NO 1 AEO2010; MA; Industrial; Natural Gas

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2102007000 Stationary Fuel Comb /Industrial /Liquified Petroleum Gas /Total: All Boile NO 1 AEO2010; MA; Industrial; LPG

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2102011000 Stationary Fuel Comb /Industrial /Kerosene /Total: All Boiler Types NO 1 AEO2010; MA; Industrial; Distillate

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2103001000 Stationary Fuel Comb /Commercial/Institutional /Anthracite Coal /Total: All NO 1 AEO2010; MA; Comm/Inst; Coal

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2103004000 Stationary Fuel Comb /Commercial/Institutional /Distillate Oil /Total: Boil NO 1 AEO2010; MA; Comm/Inst; Distillate

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2103005000 Stationary Fuel Comb /Commercial/Institutional /Residual Oil /Total: All Bo NO 1 AEO2010; MA; Comm/Inst; Residual

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2103006000 Stationary Fuel Comb /Commercial/Institutional /Natural Gas /Total: Boilers NO 1 AEO2010; MA; Comm/Inst; Natural Gas

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2103007000 Stationary Fuel Comb /Commercial/Institutional /Liquified Petroleum Gas /To NO 1 AEO2010; MA; Comm/Inst; LPG

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2103011000 Stationary Fuel Comb /Commercial/Institutional /Kerosene /Total: All Combus NO 1 AEO2010; MA; Comm/Inst; Kerosene

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104001000 Stationary Fuel Comb /Residential /Anthracite Coal /Total: All Combustor Ty NO 1 AEO2010; MA; Residential; Coal

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104004000 Stationary Fuel Comb /Residential /Distillate Oil /Total: All Combustor Typ NO 1 AEO2010; MA; Residential; Distillate

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104006000 Stationary Fuel Comb /Residential /Natural Gas /Total: All Combustor Types NO 1 AEO2010; MA; Residential; Natural Gas

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104007000 Stationary Fuel Comb /Residential /Liquified Petroleum Gas /Total: All Comb NO 1 AEO2010; MA; Residential; LPG

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008100 Stationary Fuel Comb /Residential /Wood /Fireplace: general NO 1 EPA2020; Formula=1 + 0.01*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008210 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; non- NO 1 EPA2020; Formula=1 - 0.02*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008220 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; EPA NO 1 EPA2020; Formula=1 + 0.02*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008230 Stationary Fuel Comb /Residential /Wood /Woodstove: fireplace inserts; EPA NO 1 EPA2020; Formula=1 + 0.02*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008310 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, non-EPA c NO 1 EPA2020; Formula=1 - 0.02*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008320 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, EPA certi NO 1 EPA2020; Formula=1 + 0.02*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008330 Stationary Fuel Comb /Residential /Wood /Woodstove: freestanding, EPA certi NO 1 EPA2020; Formula=1 + 0.02*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008400 Stationary Fuel Comb /Residential /Wood /Woodstove: pellet-fired, general ( NO 1 EPA2020; Formula=1 + 0.02*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008510 Stationary Fuel Comb /Residential /Wood /Furnace: Indoor, cordwood-fired, n NO 1 EPA2020; Formula=1 - 0.02*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104008610 Stationary Fuel Comb /Residential /Wood /Hydronic heater: outdoor NO 1 EPA2020; Formula=1 + 0.01*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104009000 Stationary Fuel Comb /Residential /Firelog /Total: All Combustor Types NO 1 EPA2020; Formula=1 + 0.01*( FYR - BYR )

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2104011000 Stationary Fuel Comb /Residential /Kerosene /Total: All Heater Types NO 1 AEO2010; MA; Residential; Kerosene

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2294000000 Paved Roads /All Paved Roads /Total: Fugitives YES 0.5134 AEO2010 National VMT

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2296000000 Unpaved Roads /All Unpaved Roads /Total: Fugitives YES 0.5134 Default - No Growth

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2302002100 Food & Kindred Products /Commercial Cooking - Charbroiling /Conveyorized Ch NO 1 State Employment NAICS=311

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2302002200 Food & Kindred Products /Commercial Cooking - Charbroiling /Under-fired Cha NO 1 State Employment NAICS=311

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2302003000 Food & Kindred Products /Commercial Cooking - Frying /Deep Fat Fying NO 1 State Employment NAICS=311

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2302003100 Food & Kindred Products /Commercial Cooking - Frying /Flat Griddle Frying NO 1 State Employment NAICS=311

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2302003200 Food & Kindred Products /Commercial Cooking - Frying /Clamshell Griddle Fry NO 1 State Employment NAICS=311

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2302050000 Food & Kindred Products /Bakery Products /Total NO 1 State Employment NAICS=311

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2311010000 Construction: SIC 15 - 17 /Residential /Total YES 0.5134 State Employment NAICS=236

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2311020000 Construction: SIC 15 - 17 /Industrial/Commercial/Institutional /Total YES 0.5134 State Employment NAICS=236

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2311030000 Construction: SIC 15 - 17 /Road Construction /Total YES 0.5134 State Employment NAICS=237

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2325000000 Mining &Quarrying /All Processes /Total NO 1 State Employment NAICS=212

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401001000 Surface Coating /Architectural Coatings /Total: All Solvent Types NO 1 State-Supplied Population by County

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401005000 Surface Coating /Auto Refinishing /Total: All Solvent Types NO 1 State Employment NAICS=811

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401008000 Surface Coating /Traffic Markings /Total: All Solvent Types NO 1 Default - No Growth

App.B2.York.area.2007.17.25.xlsx Page 1 of 20FINAL GROWTH FACTOR REFERENCE GF_07_13 GF_07_17 GF_07_20 GF_07_25 GF_07_13 GF_07_17 GF_07_20 GF_07_25 CONTROL REFERENCE NH3_2007 NH3_17_GO NH3_17_CF

Use Original Estimates 0.84897 0.86815 0.86943 0.84996 0.84897 0.86815 0.86943 0.84996 0.5749227 0.499119142 1
Use Original Estimates 0.90689 0.90647 0.91167 0.88043 0.90689 0.90647 0.91167 0.88043 2010 RICE MACT; MANEVU Low S Fuel Oil 2.04617365 1.854795029 1
Use Original Estimates 0.66759 0.59932 0.58513 0.56793 0.66759 0.59932 0.58513 0.56793 MANEVU Low S Fuel Oil 1.381431 0.827919227 1
AEO2011; MA; Industrial; Natural Gas 1.11646 1.14481 1.12062 1.07699 1.2886 1.3654 1.4202 1.4725 2010 RICE MACT 14.985098 20.46065281 1
Use Original Estimates 0.90299 0.9019 0.90321 0.88313 0.90299 0.9019 0.90321 0.88313 0.00473825 0.004273428 1
Use Original Estimates 0.90689 0.90647 0.91167 0.88043 0.90689 0.90647 0.91167 0.88043 MANEVU Low S Fuel Oil 0.03046735 0.027617739 1
Use Original Estimates 1.0358 1.0358 1.0358 1.0358 1.0358 1.0358 1.0358 1.0358 0.2276027 0.235750877 1
Use Original Estimates 0.82625 0.76663 0.73685 0.70742 0.82625 0.76663 0.73685 0.70742 2010 RICE MACT; MANEVU Low S Fuel Oil 0.18936545 0.145173235 1
Use Original Estimates 1.08048 1.08735 1.09164 1.09118 1.08048 1.08735 1.09164 1.09118 MANEVU Low S Fuel Oil 0.1274575 0.138590913 1
Use Original Estimates 1.04704 1.07601 1.10042 1.14605 1.04704 1.07601 1.10042 1.14605 2010 RICE MACT 0.8440693 0.908227007 1
Use Original Estimates 0.98314 0.99085 0.99869 1.00876 0.98314 0.99085 0.99869 1.00876 0.00045535 0.000451184 1
Use Original Estimates 1.35148 1.43016 1.45574 1.50984 1.35148 1.43016 1.45574 1.50984 MANEVU Low S Fuel Oil 0.0186523 0.026675773 1
Use Original Estimates 0.63929 0.62245 0.61173 0.5898 0.63929 0.62245 0.61173 0.5898 0.01720795 0.010711088 1
Use Original Estimates 0.8674 0.79161 0.74978 0.68898 0.8674 0.79161 0.74978 0.68898 MANEVU Low S Fuel Oil 8.34070335 6.602584179 1
Use Original Estimates 0.97682 0.99878 1.02195 1.04433 0.97682 0.99878 1.02195 1.04433 1.9207963 1.918452929 1
Use Original Estimates 0.73171 0.70053 0.69522 0.69148 0.73171 0.70053 0.69522 0.69148 0.3118618 0.218468547 1
Use Original Estimates 1.06 1.1 1.13 1.18 1.06 1.1 1.13 1.18 5.852005852 6.437206438 1
Use Original Estimates 0.88 0.8 0.74 0.64 0.88 0.8 0.74 0.64 4.403653067 3.522922454 1
Use Original Estimates 1.12 1.2 1.26 1.36 1.12 1.2 1.26 1.36 0.455574069 0.546688883 1
Use Original Estimates 1.12 1.2 1.26 1.36 1.12 1.2 1.26 1.36 0.191095966 0.22931516 1
Use Original Estimates 0.88 0.8 0.74 0.64 0.88 0.8 0.74 0.64 12.69463881 10.15571104 1
Use Original Estimates 1.12 1.2 1.26 1.36 1.12 1.2 1.26 1.36 1.313866196 1.576639435 1
Use Original Estimates 1.12 1.2 1.26 1.36 1.12 1.2 1.26 1.36 0.549367774 0.659241328 1
Use Original Estimates 1.12 1.2 1.26 1.36 1.12 1.2 1.26 1.36 0.6518688 0.78224256 1
Use Original Estimates 0.88 0.8 0.74 0.64 0.88 0.8 0.74 0.64 2.126214577 1.700971662 1
Use Original Estimates 1.06 1.1 1.13 1.18 1.06 1.1 1.13 1.18 PA Outdoor Wood Burning Rule 90% PM reduction 2.435571432 2.679128575 1
Use Original Estimates 1.06 1.1 1.13 1.18 1.06 1.1 1.13 1.18 0 1
Use Original Estimates 0.90566 0.93467 0.97462 1.00876 0.90566 0.93467 0.97462 1.00876 MANEVU Low S Fuel Oil 0.450841 0.421387557 1
County Specific VMT Used in MOVES 1.03457 1.09557 1.16211 n/a 1.07705358 1.128422633 1.183930618 1.273881345 0 1
Use Original Estimates 1 1 1 1 1 1 1 1 0 1
Use Original Estimates 0.96329 0.93924 0.92151 0.89285 0.96329 0.93924 0.92151 0.89285 0 1
Use Original Estimates 0.96329 0.93924 0.92151 0.89285 0.96329 0.93924 0.92151 0.89285 0 1
Use Original Estimates 0.96329 0.93924 0.92151 0.89285 0.96329 0.93924 0.92151 0.89285 0 1
Use Original Estimates 0.96329 0.93924 0.92151 0.89285 0.96329 0.93924 0.92151 0.89285 0 1
Use Original Estimates 0.96329 0.93924 0.92151 0.89285 0.96329 0.93924 0.92151 0.89285 0 1
Use Original Estimates 0.96329 0.93924 0.92151 0.89285 0.96329 0.93924 0.92151 0.89285 0 1
Use Original Estimates 1.03413 1.05723 1.07482 1.10493 1.03413 1.05723 1.07482 1.10493 0 1
Use Original Estimates 1.03413 1.05723 1.07482 1.10493 1.03413 1.05723 1.07482 1.10493 0 1
Use Original Estimates 1.02034 1.03403 1.04439 1.06194 1.02034 1.03403 1.04439 1.06194 0 1
Use Original Estimates 1.018987342 1.031755174 1.041411846 1.05775 1.018987342 1.031755174 1.041411846 1.05775 0 1
Use Original Estimates 1.05105 1.08467 1.10989 1.14939 1.05105 1.08467 1.10989 1.14939 0 1
Use Original Estimates 1.0248 1.04152 1.0542 1.07575 1.0248 1.04152 1.0542 1.07575 0 1
Use Original Estimates 1 1 1 1 1 1 1 1 0 1 Original GFs based on Column I Reference Final GFs based on Column J Reference

App.B2.York.area.2007.17.25.xlsx Page 2 of 20NH3_17_GC NH3_25_GO NH3_25_CF NH3_25_GC NOX_2007 NOX_17_GO NOX_17_CF NOX_17_GC NOX_25_GO NOX_25_CF NOX_25_GC Without TF

P10_2007 With TF

P10_2007_TF With TF

P10_17_GO P10_17_CF With TF

P10_17_GC With TF

P10_25_GO

0.499119142 0.488661298 1 0.488661298 172.4768123 149.7357446 1 149.7357446 146.5983914 1 146.5983914 283.5902076 283.5902076 246.1988387 1 246.1988387 241.0403328

1.854795029 1.801512667 1 1.801512667 1.52434095 1.381769341 1 1.381769341 1.342075503 1 1.342075503 3.32503215 3.32503215 3.014041893 0.9243 2.785878922 2.927458056

0.827919227 0.784556108 1 0.784556108 0 0 1 0 0 1 0 2.5901831 2.5901831 1.552348535 1 1.552348535 1.471042688

20.46065281 22.06555681 1 22.06555681 278.0573126 379.6594546 0.9203 349.4005961 409.4393928 0.9203 376.8070732 1.4985098 1.4985098 2.046065281 1 2.046065281 2.206555681

0.004273428 0.004184491 1 0.004184491 37.7525418 34.04901745 1 34.04901745 33.34040224 1 33.34040224 0.1958796 0.1958796 0.176663811 1 0.176663811 0.172987151

0.027617739 0.026824369 1 0.026824369 0.7913603 0.717344371 1 0.717344371 0.696737349 1 0.696737349 0.0910064 0.0910064 0.082494571 1 0.082494571 0.080124765

0.235750877 0.235750877 1 0.235750877 68.28081625 70.72526947 1 70.72526947 70.72526947 1 70.72526947 112.2688354 112.2688354 116.2880597 1 116.2880597 116.2880597

0.145173235 0.133960907 1 0.133960907 47.3413659 36.29331134 1 36.29331134 33.49022906 1 33.49022906 5.0418555 5.0418555 3.865237682 0.9243 3.572639189 3.566709418

0.138590913 0.139079075 1 0.139079075 8.76270475 9.52812701 1 9.52812701 9.561688169 1 9.561688169 2.6194592 2.6194592 2.848268961 1 2.848268961 2.85830149

0.908227007 0.967345621 1 0.967345621 172.2590441 185.352454 0.9203 170.5798635 197.4174775 0.9203 181.6833045 0.7751657 0.7751657 0.834086045 1 0.834086045 0.88837865

0.000451184 0.000459339 1 0.000459339 3.627948 3.594752276 1 3.594752276 3.659728824 1 3.659728824 0.01891475 0.01891475 0.01874168 1 0.01874168 0.019080443

0.026675773 0.028161989 1 0.028161989 4.4965429 6.430775794 1 6.430775794 6.789060332 1 6.789060332 0.53425585 0.53425585 0.764071346 1 0.764071346 0.806640853

0.010711088 0.010149249 1 0.010149249 1.72079645 1.07110975 1 1.07110975 1.014925746 1 1.014925746 6.3499683 6.3499683 3.952537768 1 3.952537768 3.745211303

6.602584179 5.746577794 1 5.746577794 187.6658 148.5581239 1 148.5581239 129.2979829 1 129.2979829 24.8135 24.8135 19.64261474 1 19.64261474 17.09600523

1.918452929 2.0059452 1 2.0059452 368.4792859 368.0297412 1 368.0297412 384.8139726 1 384.8139726 24.38235275 24.38235275 24.35260628 1 24.35260628 25.46322245

0.218468547 0.215646197 1 0.215646197 83.5789646 58.54957207 1 58.54957207 57.79318244 1 57.79318244 0.3118618 0.3118618 0.218468547 1 0.218468547 0.215646197

6.437206438 6.905366906 1 6.905366906 8.452897342 9.298187076 1 9.298187076 9.974418864 1 9.974418864 76.72629895 76.72629895 84.39892885 1 84.39892885 90.53703276

3.522922454 2.818337963 1 2.818337963 7.25307564 5.802460512 1 5.802460512 4.64196841 1 4.64196841 79.26575521 79.26575521 63.41260417 1 63.41260417 50.73008333

0.546688883 0.619580734 1 0.619580734 1.154120975 1.38494517 1 1.38494517 1.569604526 1 1.569604526 9.921390836 9.921390836 11.905669 1 11.905669 13.49309154

0.22931516 0.259890514 1 0.259890514 0.424657703 0.509589243 1 0.509589243 0.577534476 1 0.577534476 4.331508569 4.331508569 5.197810283 1 5.197810283 5.890851654

10.15571104 8.124568836 1 8.124568836 20.90881686 16.72705349 1 16.72705349 13.38164279 1 13.38164279 228.5034985 228.5034985 182.8027988 1 182.8027988 146.242239

1.576639435 1.786858027 1 1.786858027 3.32846103 3.994153236 1 3.994153236 4.526707001 1 4.526707001 28.61308605 28.61308605 34.33570326 1 34.33570326 38.91379702

0.659241328 0.747140172 1 0.747140172 1.220817275 1.46498073 1 1.46498073 1.660311494 1 1.660311494 12.4523362 12.4523362 14.94280344 1 14.94280344 16.93517724

0.78224256 0.886541568 1 0.886541568 8.2570048 9.90840576 1 9.90840576 11.22952653 1 11.22952653 6.64906176 6.64906176 7.978874112 1 7.978874112 9.042723994

1.700971662 1.360777329 1 1.360777329 2.175034122 1.740027298 1 1.740027298 1.392021838 1 1.392021838 32.60195685 32.60195685 26.08156548 1 26.08156548 20.86525238

2.679128575 2.87397429 1 2.87397429 2.491494053 2.740643458 1 2.740643458 2.939962982 1 2.939962982 37.34542863 37.34542863 41.07997149 1 41.07997149 44.06760578

0 0 1 0 3.503726804 3.854099484 1 3.854099484 4.134397629 1 4.134397629 12.94974508 12.94974508 14.24471959 1 14.24471959 15.2806992

0.421387557 0.454790367 1 0.454790367 10.1293 9.467552831 1 9.467552831 10.21803267 1 10.21803267 1.335 1.335 1.24778445 1 1.24778445 1.3466946

0 0 1 0 0 1 0 0 1 0 1485.0355 762.3629465 860.2676034 1 860.2676034 971.1599358

0 0 1 0 0 1 0 0 1 0 2035.1067 1044.749395 1044.749395 1 1044.749395 1044.749395

0 0 1 0 0 1 0 0 1 0 10.48325809 10.48325809 9.846295324 1 9.846295324 9.359976981

0 0 1 0 0 0 1 0 0 1 0 74.26471358 74.26471358 69.75238958 1 69.75238958 66.30724952

0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 21.70732713 21.70732713 20.38838993 1 20.38838993 19.38138703

0 0 1 0 0 1 0 0 1 0 1.472438768 1.472438768 1.382973388 1 1.382973388 1.314666954

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 51.20251715 26.28550081 27.78982003 1 27.78982003 29.04363841

0 0 1 0 0 1 0 0 1 0 3277.296076 1682.444018 1778.730289 1 1778.730289 1858.982868

0 0 1 0 0 1 0 0 1 0 2075.542178 1065.507492 1101.766711 1 1101.766711 1131.505026

0 0 1 0 0 1 0 0 1 0 238.87 238.87 246.4553585 1 246.4553585 252.6647425

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

App.B2.York.area.2007.17.25.xlsx Page 3 of 20P10_25_CF With TF

P10_25_GC Without TF

P25_2007 With TF

P25_2007_TF With TF

P25_17_GO P25_17_CF With TF

P25_17_GC With TF

P25_25_GO P25_25_CF With TF

P25_25_GC SO2_2007 SO2_17_GO SO2_17_CF SO2_17_GC SO2_17_CF SO2_17_GC SO2_25_GO

1 241.0403328 124.6125805 124.6125805 108.1824117 1 108.1824117 105.9157089 1 105.9157089 665.1855727 577.4808549 1 577.4808549 1 577.4808549 565.3811294

0.9243 2.705849481 3.32503215 3.32503215 3.014041893 0.9243 2.785878922 2.927458056 0.9243 2.705849481 106.1687462 96.23878337 1 96.23878337 0.005 0.481193917 93.47414922

1 1.471042688 2.5901831 2.5901831 1.552348535 1 1.552348535 1.471042688 1 1.471042688 0 0 1 0 0.179 0 0

1 2.206555681 1.4985098 1.4985098 2.046065281 1 2.046065281 2.206555681 1 2.206555681 0 0 1 0 1 0 0

1 0.172987151 0.1618589 0.1618589 0.145980542 1 0.145980542 0.14294245 1 0.14294245 0.2264887 0.204270159 1 0.204270159 1 0.204270159 0.200018966

1 0.080124765 0.0613304 0.0613304 0.055594168 1 0.055594168 0.053997124 1 0.053997124 1.6855974 1.527943475 1 1.527943475 0.005 0.007639717 1.484050519

1 116.2880597 49.33213105 49.33213105 51.09822134 1 51.09822134 51.09822134 1 51.09822134 263.3363479 272.7637892 1 272.7637892 1 272.7637892 272.7637892

0.9243 3.296709515 5.0418555 5.0418555 3.865237682 0.9243 3.572639189 3.566709418 0.9243 3.296709515 100.8371094 77.30475318 1 77.30475318 0.005 0.386523766 71.33418793

1 2.85830149 1.12302825 1.12302825 1.221124768 1 1.221124768 1.225425966 1 1.225425966 56.2804628 61.19656123 1 61.19656123 0.179 10.95418446 61.4121154

1 0.88837865 0.7407139 0.7407139 0.797015564 1 0.797015564 0.848895165 1 0.848895165 1.03355425 1.112114709 1 1.112114709 1 1.112114709 1.184504848

1 0.019080443 0.0156454 0.0156454 0.015502245 1 0.015502245 0.015782454 1 0.015782454 0.02176515 0.021565999 1 0.021565999 1 0.021565999 0.021955813

1 0.806640853 0.478049 0.478049 0.683686558 1 0.683686558 0.721777502 1 0.721777502 9.5776332 13.6975479 1 13.6975479 0.005 0.068487739 14.46069371

1 3.745211303 5.2188314 5.2188314 3.248461605 1 3.248461605 3.07806676 1 3.07806676 19.9096148 12.39273973 1 12.39273973 1 12.39273973 11.74269081

1 17.09600523 22.2071 22.2071 17.57936243 1 17.57936243 15.30024776 1 15.30024776 444.14 351.5856654 1 351.5856654 0.005 1.757928327 306.0035772

1 25.46322245 24.02955345 24.02955345 24.00023739 1 24.00023739 25.09478355 1 25.09478355 2.35199545 2.349126016 1 2.349126016 1 2.349126016 2.456259408

1 0.215646197 0.24948945 0.24948945 0.174774844 1 0.174774844 0.172516965 1 0.172516965 0.37423415 0.262162249 1 0.262162249 1 0.262162249 0.25877543

1 90.53703276 76.72629895 76.72629895 84.39892885 1 84.39892885 90.53703276 1 90.53703276 1.300445745 1.430490319 1 1.430490319 1 1.430490319 1.534525979

1 50.73008333 79.26575521 79.26575521 63.41260417 1 63.41260417 50.73008333 1 50.73008333 1.036153663 0.82892293 1 0.82892293 1 0.82892293 0.663138344

1 13.49309154 9.921390836 9.921390836 11.905669 1 11.905669 13.49309154 1 13.49309154 0.202477364 0.242972837 1 0.242972837 1 0.242972837 0.275369215

1 5.890851654 4.331508569 4.331508569 5.197810283 1 5.197810283 5.890851654 1 5.890851654 0.084931541 0.101917849 1 0.101917849 1 0.101917849 0.115506895

1 146.242239 228.5034985 228.5034985 182.8027988 1 182.8027988 146.242239 1 146.242239 2.986973837 2.389579069 1 2.389579069 1 2.389579069 1.911663255

1 38.91379702 28.61308605 28.61308605 34.33570326 1 34.33570326 38.91379702 1 38.91379702 0.583940532 0.700728638 1 0.700728638 1 0.700728638 0.794159123

1 16.93517724 12.4523362 12.4523362 14.94280344 1 14.94280344 16.93517724 1 16.93517724 0.244163455 0.292996146 1 0.292996146 1 0.292996146 0.332062299

1 9.042723994 6.64906176 6.64906176 7.978874112 1 7.978874112 9.042723994 1 9.042723994 0.69532672 0.834392064 1 0.834392064 1 0.834392064 0.945644339

1 20.86525238 32.60195685 32.60195685 26.08156548 1 26.08156548 20.86525238 1 20.86525238 2.397897551 1.91831804 1 1.91831804 1 1.91831804 1.534654432

0.1 4.406760578 37.34542863 37.34542863 41.07997149 1 41.07997149 44.06760578 0.1 4.406760578 2.746783337 3.021461671 1 3.021461671 1 3.021461671 3.241204338

1 15.2806992 13.36924387 13.36924387 14.70616826 1 14.70616826 15.77570777 1 15.77570777 0 1 0 1 0 0

1 1.3466946 1.2003 1.2003 1.121884401 1 1.121884401 1.210814628 1 1.210814628 0.2494 0.233106698 1 0.233106698 0.005 0.001165533 0.251584744

1 971.1599358 364.5087 187.1254435 211.1565857 1 211.1565857 238.3756117 1 238.3756117 0 1 0 1 0 0

1 1044.749395 202.2014 103.8028081 103.8028081 1 103.8028081 103.8028081 1 103.8028081 0 1 0 1 0 0

1 9.359976981 10.1627005 10.1627005 9.545214817 1 9.545214817 9.073767141 1 9.073767141 0 1 0 1 0 0

1 66.30724952 71.89800259 71.89800259 67.52947996 1 67.52947996 64.19413162 1 64.19413162 0 0 1 0 1 0 0

1 0 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 19.38138703 16.49307822 16.49307822 15.49095879 1 15.49095879 14.72584489 1 14.72584489 0 1 0 1 0 0

1 1.314666954 1.244281892 1.244281892 1.168679324 1 1.168679324 1.110957087 1 1.110957087 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 29.04363841 5.120251715 2.628550081 2.778982003 1 2.778982003 2.904363841 1 2.904363841 0 1 0 1 0 0

1 1858.982868 327.7296076 168.2444018 177.8730289 1 177.8730289 185.8982868 1 185.8982868 0 1 0 1 0 0

1 1131.505026 207.5542178 106.5507492 110.1766711 1 110.1766711 113.1505026 1 113.1505026 0 1 0 1 0 0

1 252.6647425 47.77 47.77 49.28694467 1 49.28694467 50.5287175 1 50.5287175 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0 When Fully Adopted Low S Oil Currently Adopted Low S Oil

App.B2.York.area.2007.17.25.xlsx Page 4 of 20SO2_25_CF SO2_25_GC SO2_25_CF SO2_25_GC VOC_2007 VOC_17_GO VOC_17_CF VOC_17_GC VOC_25_GO VOC_25_CF VOC_25_GC

1 565.3811294 1 565.3811294 5.7492271 4.991191507 1 4.991191507 4.886613066 1 4.886613066

1 93.47414922 0.005 0.467370746 0 0 0.6915 0 0 0.6915 0

1 0 0.179 0 0 0 1 0 0 1 0

1 0 1 0 2.0347372 2.778230173 0.8329 2.313987911 2.996150527 0.8329 2.495493774

1 0.200018966 1 0.200018966 2.0763045 1.872619029 1 1.872619029 1.833646793 1 1.833646793

1 1.484050519 0.005 0.007420253 0.00763095 0.006917227 1 0.006917227 0.006718517 1 0.006718517

1 272.7637892 1 272.7637892 2.2760272 2.357508974 1 2.357508974 2.357508974 1 2.357508974

1 71.33418793 0.005 0.35667094 0.8048032 0.616986277 0.6915 0.426646011 0.56933388 0.6915 0.393694378

0.179 10.99276866 0.179 10.99276866 0.18003375 0.195759698 1 0.195759698 0.196449227 1 0.196449227

1 1.184504848 1 1.184504848 9.4742474 10.19438494 0.8329 8.490903221 10.85796123 0.8329 9.043595911

1 0.021955813 1 0.021955813 0.19952895 0.19770326 1 0.19770326 0.201276824 1 0.201276824

1 14.46069371 0.005 0.072303469 0.0764412 0.109323147 1 0.109323147 0.115413981 1 0.115413981

1 11.74269081 1 11.74269081 5.73598815 3.570365824 1 3.570365824 3.383085811 1 3.383085811

0.005 1.530017886 0.005 1.530017886 7.2981 5.777248941 1 5.777248941 5.028244938 1 5.028244938

1 2.456259408 1 2.456259408 21.5599582 21.53365505 1 21.53365505 22.51571115 1 22.51571115

1 0.25877543 1 0.25877543 3.2433628 2.272072942 1 2.272072942 2.242720509 1 2.242720509

1 1.534525979 1 1.534525979 61.44606145 67.59066759 1 67.59066759 72.50635251 1 72.50635251

1 0.663138344 1 0.663138344 137.2903603 109.8322883 1 109.8322883 87.86583061 1 87.86583061

1 0.275369215 1 0.275369215 6.07432092 7.289185104 1 7.289185104 8.261076451 1 8.261076451

1 0.115506895 1 0.115506895 3.184932771 3.821919326 1 3.821919326 4.331508569 1 4.331508569

1 1.911663255 1 1.911663255 395.7740334 316.6192267 1 316.6192267 253.2953813 1 253.2953813

1 0.794159123 1 0.794159123 17.51821595 21.02185914 1 21.02185914 23.82477369 1 23.82477369

1 0.332062299 1 0.332062299 9.156129562 10.98735547 1 10.98735547 12.4523362 1 12.4523362

1 0.945644339 1 0.945644339 0.089088736 0.106906483 1 0.106906483 0.121160681 1 0.121160681

1 1.534654432 1 1.534654432 13.93851778 11.15081423 1 11.15081423 8.92065138 1 8.92065138

1 3.241204338 1 3.241204338 15.96652383 17.56317622 1 17.56317622 18.84049812 1 18.84049812

1 0 1 0 18.03844773 19.8422925 1 19.8422925 21.28536832 1 21.28536832

1 0.251584744 0.005 0.001257924 0.3935 0.367792645 1 0.367792645 0.39694706 1 0.39694706

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 2.538085407 2.383871338 1 2.383871338 2.266129556 1 2.266129556

1 0 1 0 8.732620818 8.202026777 1 8.202026777 7.796920497 1 7.796920497

1 0 1 0 2.654324705 2.493047936 1 2.493047936 2.369913813 1 2.369913813

1 0 1 0 1.251206354 1.175183055 1 1.175183055 1.117139593 1 1.117139593

1 0 1 0 0.04874989 0.045787846 1 0.045787846 0.043526339 1 0.043526339

1 0 1 0 2.2 2.066328 1 2.066328 1.96427 1 1.96427

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 507.364045 550.3225587 1 550.3225587 583.1591597 1 583.1591597

1 0 1 0 105.26225 109.6327386 1 109.6327386 113.2358654 1 113.2358654

1 0 1 0 38.805837 38.805837 1 38.805837 38.805837 1 38.805837 Currently Adopted Low S Oil When Fully Adopted Low S Oil

App.B2.York.area.2007.17.25.xlsx Page 5 of 20STATE FIPS CNTY

NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION TF_SCC TF ORIGINAL GROWTH FACTOR REFERENCE

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401015000 Surface Coating /Factory Finished Wood /Total: All Solvent Types NO 1 State Employment NAICS=321

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401020000 Surface Coating /Wood Furniture /Total: All Solvent Types NO 1 State Employment NAICS=337

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401025000 Surface Coating /Metal Furniture /Total: All Solvent Types NO 1 State Employment NAICS=337

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401030000 Surface Coating /Paper /Total: All Solvent Types NO 1 State Employment NAICS=322

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401040000 Surface Coating /Metal Cans /Total: All Solvent Types NO 1 State Employment NAICS=332

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401045000 Surface Coating /Metal Coils /Total: All Solvent Types NO 1 State Employment NAICS=332

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401060000 Surface Coating /Large Appliances /Total: All Solvent Types NO 1 State Employment NAICS=335

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401065000 Surface Coating /Electronic & Other Electrical /Total: All Solvent Types NO 1 State Employment NAICS=334

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401080000 Surface Coating /Marine /Total: All Solvent Types NO 1 State Employment NAICS=336

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401085000 Surface Coating /Railroad /Total: All Solvent Types NO 1 State Employment NAICS=336

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401090000 Surface Coating /Misc Manufacturing /Total: All Solvent Types NO 1 State Employment NAICS=339

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401100000 Surface Coating /Industrial Maintenance Coatings /Total: All Solvent Types NO 1 State Employment NAICS=31-33

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2401200000 Surface Coating /Other Special Purpose Coatings /Total: All Solvent Types NO 1 State Employment NAICS=31-33

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2415200000 Degreasing /All Industries: Conveyerized Degreasing /Total: All Solvent Typ NO 1 State Employment NAICS=31-33

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2415230000 Degreasing /Electronic & Other Elec: Conveyerized Degreasing /Total: All So NO 1 State Employment NAICS=334

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2415300000 Degreasing /All Industries: Cold Cleaning /Total: All Solvent Types NO 1 State Employment NAICS=31-33

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2415360000 Degreasing /Auto Repair Services: Cold Cleaning /Total: All Solvent Types NO 1 State Employment NAICS=811

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2420000000 Dry Cleaning /All Processes /Total: All Solvent Types NO 1 State-Supplied Population by County

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2425000000 Graphic Arts /All Processes /Total: All Solvent Types NO 1 State Employment NAICS=323

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2460100000 Misc Non-indus: Consumer & Comm /All Personal Care Products /Total: All Sol NO 1 State-Supplied Population by County

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2460200000 Misc Non-indus: Consumer & Comm /All Household Products /Total: All Solvent NO 1 State-Supplied Population by County

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2460400000 Misc Non-indus: Consumer & Comm /All Auto Aftermarket Products /Total: All NO 1 State-Supplied Population by County

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2460500000 Misc Non-indus: Consumer & Comm /All Coatings & Related Products /Total: Al NO 1 State-Supplied Population by County

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2460600000 Misc Non-indus: Consumer & Comm /All Adhesives & Sealants /Total: All Solve NO 1 State-Supplied Population by County

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2460800000 Misc Non-indus: Consumer & Comm /All FIFRA Related Products /Total: All Sol NO 1 State-Supplied Population by County

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2460900000 Misc Non-indus: Consumer & Comm /Misc Products (Not Otherwise Covered) /Tot NO 1 State-Supplied Population by County

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2461021000 Misc Non-industrial: Commercial /Cutback Asphalt /Total: All Solvent Types NO 1 Default - No Growth

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2461022000 Misc Non-industrial: Commercial /Emulsified Asphalt /Total: All Solvent Typ NO 1 Default - No Growth

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501011011 Residential Portable Gas Cans /Permeation NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501011012 Residential Portable Gas Cans /Evaporation (includes Diurnal losses) NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501011013 Residential Portable Gas Cans /Spillage During Transport NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501011014 Residential Portable Gas Cans /Refilling at the Pump - Vapor Displacement NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501011015 Residential Portable Gas Cans /Refilling at the Pump - Spillage NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501012011 Commercial Portable Gas Cans /Permeation NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501012012 Commercial Portable Gas Cans /Evaporation (includes Diurnal losses) NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501012013 Commercial Portable Gas Cans /Spillage During Transport NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501012014 Commercial Portable Gas Cans /Refilling at the Pump - Vapor Displacement NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501012015 Commercial Portable Gas Cans /Refilling at the Pump - Spillage NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501060053 Gasoline Service Stations /Stage 1: Balanced Submerged Filling NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2501060201 Gasoline Service Stations /Underground Tank: Breathing and Emptying NO 1 AEO2010; MA; Transportation; Motor Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2505030120 Petrol & Petrol Product Transport /Truck /Gasoline NO 1 AEO2010; MA; All Sectors; Gasoline

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2610000100 Open Burning /All Categories /Yard Waste - Leaf Species Unspecified NO 1 Default - No Growth

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2610000400 Open Burning /All Categories /Yard Waste - Brush Species Unspecified NO 1 Default - No Growth

App.B2.York.area.2007.17.25.xlsx Page 6 of 20FINAL GROWTH FACTOR REFERENCE GF_07_13 GF_07_17 GF_07_20 GF_07_25 GF_07_13 GF_07_17 GF_07_20 GF_07_25 CONTROL REFERENCE NH3_2007 NH3_17_GO NH3_17_CF Original GFs based on Column I Reference Final GFs based on Column J Reference

Use Original Estimates 1.0089 1.01485 1.01934 1.02687 1.0089 1.01485 1.01934 1.02687 0 1
Use Original Estimates 0.96394 0.9403 0.92287 0.89468 0.96394 0.9403 0.92287 0.89468 0 1
Use Original Estimates 0.96394 0.9403 0.92287 0.89468 0.96394 0.9403 0.92287 0.89468 0 1
Use Original Estimates 0.95405 0.92407 0.90207 0.86679 0.95405 0.92407 0.90207 0.86679 0 1
Use Original Estimates 1.04066 1.06827 1.08935 1.12561 1.04066 1.06827 1.08935 1.12561 0 1
Use Original Estimates 1.04066 1.06827 1.08935 1.12561 1.04066 1.06827 1.08935 1.12561 0 1
Use Original Estimates 0.9642 0.94073 0.92343 0.89543 0.9642 0.94073 0.92343 0.89543 0 1
Use Original Estimates 0.91259 0.85671 0.81662 0.75467 0.91259 0.85671 0.81662 0.75467 0 1
Use Original Estimates 0.95717 0.92918 0.90862 0.87555 0.95717 0.92918 0.90862 0.87555 0 1
Use Original Estimates 0.95717 0.92918 0.90862 0.87555 0.95717 0.92918 0.90862 0.87555 0 1
Use Original Estimates 1.04168 1.07 1.09162 1.12884 1.04168 1.07 1.09162 1.12884 0 1
Use Original Estimates 0.97564 0.95958 0.94767 0.92822 0.97564 0.95958 0.94767 0.92822 0 1
Use Original Estimates 0.97564 0.95958 0.94767 0.92822 0.97564 0.95958 0.94767 0.92822 0 1
Use Original Estimates 0.97564 0.95958 0.94767 0.92822 0.97564 0.95958 0.94767 0.92822 0 1
Use Original Estimates 0.91259 0.85671 0.81662 0.75467 0.91259 0.85671 0.81662 0.75467 0 1
Use Original Estimates 0.97564 0.95958 0.94767 0.92822 0.97564 0.95958 0.94767 0.92822 0 1
Use Original Estimates 1.0248 1.04152 1.0542 1.07575 1.0248 1.04152 1.0542 1.07575 0 1
Use Original Estimates 1.05105 1.08467 1.10989 1.14939 1.05105 1.08467 1.10989 1.14939 0 1
Use Original Estimates 0.90835 0.84988 0.80802 0.74362 0.90835 0.84988 0.80802 0.74362 0 1
Use Original Estimates 1.05105 1.08467 1.10989 1.14939 1.05105 1.08467 1.10989 1.14939 OTC 2006 Rule for Consumer Products 0 1
Use Original Estimates 1.05105 1.08467 1.10989 1.14939 1.05105 1.08467 1.10989 1.14939 OTC 2006 Rule for Consumer Products 0 1
Use Original Estimates 1.05105 1.08467 1.10989 1.14939 1.05105 1.08467 1.10989 1.14939 OTC 2006 Rule for Consumer Products 0 1
Use Original Estimates 1.05105 1.08467 1.10989 1.14939 1.05105 1.08467 1.10989 1.14939 OTC 2006 Rule for Consumer Products 0 1
Use Original Estimates 1.05105 1.08467 1.10989 1.14939 1.05105 1.08467 1.10989 1.14939 OTC 2006 Rule for Consumer Products 0 1
Use Original Estimates 1.05105 1.08467 1.10989 1.14939 1.05105 1.08467 1.10989 1.14939 OTC 2006 Rule for Consumer Products 0 1
Use Original Estimates 1.05105 1.08467 1.10989 1.14939 1.05105 1.08467 1.10989 1.14939 OTC 2006 Rule for Consumer Products 0 1
Use Original Estimates 1 1 1 1 1 1 1 1 0 1
Use Original Estimates 1 1 1 1 1 1 1 1 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 OTC/Federal PFC Rules 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 0 1
Use Original Estimates 1.22532 1.18808 1.16957 1.16023 1.22532 1.18808 1.16957 1.16023 0 1
Use Original Estimates 1.22201 1.18515 1.16707 1.15754 1.22201 1.18515 1.16707 1.15754 0 1
Use Original Estimates 1 1 1 1 1 1 1 1 0 1
Use Original Estimates 1 1 1 1 1 1 1 1 0 1

App.B2.York.area.2007.17.25.xlsx Page 7 of 20NH3_17_GC NH3_25_GO NH3_25_CF NH3_25_GC NOX_2007 NOX_17_GO NOX_17_CF NOX_17_GC NOX_25_GO NOX_25_CF NOX_25_GC Without TF

P10_2007 With TF

P10_2007_TF With TF

P10_17_GO P10_17_CF With TF

P10_17_GC With TF

P10_25_GO

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 0 1 0 0 1 0 0 0 0 1 0 0

0 0 1 0 0 0 1 0 0 1 0 0 0 0 1 0 0

App.B2.York.area.2007.17.25.xlsx Page 8 of 20P10_25_CF With TF

P10_25_GC Without TF

P25_2007 With TF

P25_2007_TF With TF

P25_17_GO P25_17_CF With TF

P25_17_GC With TF

P25_25_GO P25_25_CF With TF

P25_25_GC SO2_2007 SO2_17_GO SO2_17_CF SO2_17_GC SO2_17_CF SO2_17_GC SO2_25_GO When Fully Adopted Low S Oil Currently Adopted Low S Oil

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 0 1 0 0 1 0 0 0 1 0 1 0 0

1 0 0 0 0 1 0 0 1 0 0 0 1 0 1 0 0

App.B2.York.area.2007.17.25.xlsx Page 9 of 20SO2_25_CF SO2_25_GC SO2_25_CF SO2_25_GC VOC_2007 VOC_17_GO VOC_17_CF VOC_17_GC VOC_25_GO VOC_25_CF VOC_25_GC Currently Adopted Low S Oil When Fully Adopted Low S Oil

1 0 1 0 0 0 1 0 0 1 0

1 0 1 0 0 0 1 0 0 1 0

1 0 1 0 98.4411552 92.56421823 1 92.56421823 88.07333273 1 88.07333273

1 0 1 0 287.6937804 265.8491917 1 265.8491917 249.3700919 1 249.3700919

1 0 1 0 203.2697963 217.1470252 1 217.1470252 228.8025154 1 228.8025154

1 0 1 0 0 0 1 0 0 1 0

1 0 1 0 0 0 1 0 0 1 0

1 0 1 0 1.0292818 0.881796011 1 0.881796011 0.776768096 1 0.776768096

1 0 1 0 0 0 1 0 0 1 0

1 0 1 0 1.09280735 1.015414733 1 1.015414733 0.956807475 1 0.956807475

1 0 1 0 126.3147 135.156729 1 135.156729 142.5890859 1 142.5890859

1 0 1 0 31.578675 30.30226496 1 30.30226496 29.31195771 1 29.31195771

1 0 1 0 1.4736715 1.414105698 1 1.414105698 1.36789136 1 1.36789136

1 0 1 0 51.1658745 49.09774985 1 49.09774985 47.49318803 1 47.49318803

1 0 1 0 21.9282319 18.78613555 1 18.78613555 16.54857877 1 16.54857877

1 0 1 0 109.3043204 104.8862398 1 104.8862398 101.4584563 1 101.4584563

1 0 1 0 248.41891 258.7332631 1 258.7332631 267.2366424 1 267.2366424

1 0 1 0 116.9506608 126.8528732 1 126.8528732 134.42192 1 134.42192

1 0 1 0 704.1164 598.414446 1 598.414446 523.5950374 1 523.5950374

1 0 1 0 459.6712623 498.591628 0.98 488.6197955 528.3415521 0.98 517.7747211

1 0 1 0 157.4716869 170.8048146 0.98 167.3887183 180.9963821 0.98 177.3764545

1 0 1 0 273.8317199 297.0170516 0.98 291.0767106 314.7394405 0.98 308.4446517

1 0 1 0 199.998275 216.9321289 0.98 212.5934864 229.8760173 0.98 225.278497

1 0 1 0 115.1584468 124.9089125 0.98 122.4107342 132.3619672 0.98 129.7147278

1 0 1 0 338.3095031 366.9541687 0.98 359.6150854 388.8495598 0.98 381.0725686

1 0 1 0 14.736715 15.98447266 0.98 15.66478321 16.93823285 0.98 16.5994682

1 0 1 0 214.294534 214.294534 1 214.294534 214.294534 1 214.294534

1 0 1 0 58.14616315 58.14616315 1 58.14616315 58.14616315 1 58.14616315

1 0 1 0 25.62745632 30.4474683 0.25 7.611867076 29.73374365 0.22 6.541423602

1 0 1 0 50.03671941 59.4476256 0.25 14.8619064 58.05410296 0.22 12.77190265

1 0 1 0 13.69645809 16.27248793 0.25 4.068121982 15.89104157 0.22 3.496029145

1 0 1 0 4.674913564 5.554171307 0.25 1.388542827 5.423974964 0.22 1.193274492

1 0 1 0 0.425499463 0.505527402 0.25 0.126381851 0.493677242 0.22 0.108608993

1 0 1 0 0.818546608 0.972498854 0.25 0.243124714 0.949702331 0.22 0.208934513

1 0 1 0 1.598183856 1.898770276 0.25 0.474692569 1.854260855 0.22 0.407937388

1 0 1 0 18.68408019 22.19818199 0.25 5.549545498 21.67783036 0.22 4.769122679

1 0 1 0 9.009578104 10.70409955 0.25 2.676024888 10.4531828 0.22 2.299700217

1 0 1 0 0.818696611 0.97267707 0.25 0.243169267 0.949876369 0.22 0.208972801

1 0 1 0 76.6689345 91.0888277 1 91.0888277 88.95359787 1 88.95359787

1 0 1 0 12.3447052 14.66649735 1 14.66649735 14.32269731 1 14.32269731

1 0 1 0 2.3985826 2.842680168 1 2.842680168 2.776455303 1 2.776455303

1 0 1 0 0 0 1 0 0 1 0

1 0 1 0 0 0 1 0 0 1 0

App.B2.York.area.2007.17.25.xlsx Page 10 of 20STATE FIPS CNTY

NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION TF_SCC TF ORIGINAL GROWTH FACTOR REFERENCE

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2610000500 Open Burning /All Categories /Land Clearing Debris (use 28-10-005-000 for L NO 1 Default - No Growth

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2610030000 Open Burning /Residential /Household Waste (use 26-10-000-xxx for Yard Wast NO 1 Default - No Growth

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2630020000 Wastewater Treatment /Public Owned /Total Processed NO 1 State Employment NAICS=562

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801000003 Agric - Crops /Tilling YES 0.5134 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700001 Agric - Crops /Fertilizer Application /Anhydrous Ammonia NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700002 Agric - Crops /Fertilizer Application /Aqueous Ammonia NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700003 Agric - Crops /Fertilizer Application /Nitrogen Solutions NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700004 Agric - Crops /Fertilizer Application /Urea NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700005 Agric - Crops /Fertilizer Application /Ammonium Nitrate NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700006 Agric - Crops /Fertilizer Application /Ammonium Sulfate NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700007 Agric - Crops /Fertilizer Application /Ammonium Thiosulfate NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700010 Agric - Crops /Fertilizer Application /N-P-K (multi-grade nutrient fertiliz NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700011 Agric - Crops /Fertilizer Application /Calcium Ammonium Nitrate NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700012 Agric - Crops /Fertilizer Application /Potassium Nitrate NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700013 Agric - Crops /Fertilizer Application /Diammonium Phosphate NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700014 Agric - Crops /Fertilizer Application /Monoammonium Phosphate NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700015 Agric - Crops /Fertilizer Application /Liquid Ammonium Polyphosphate NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2801700099 Agric - Crops /Fertilizer Application /Miscellaneous Fertilizers NO 1 State Employment NAICS=111

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805001100 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots NO 1 EPA2020; Livestock; Beef

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805001200 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots NO 1 EPA2020; Livestock; Beef

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805001300 Agric - Livestock /Beef cattle - finishing operations on feedlots (drylots NO 1 EPA2020; Livestock; Beef

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805002000 Agric - Livestock /Beef cattle production composite /Not Elsewhere Classifi NO 1 EPA2020; Livestock; Beef

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805003100 Agric - Livestock /Beef cattle - finishing operations on pasture/range /Co NO 1 EPA2020; Livestock; Beef

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805007100 Agric - Livestock /Poultry production - layers with dry manure management s NO 1 EPA2020; Livestock; Layers

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805007300 Agric - Livestock /Poultry production - layers with dry manure management s NO 1 EPA2020; Livestock; Layers

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805008100 Agric - Livestock /Poultry production - layers with wet manure management s NO 1 EPA2020; Livestock; Layers

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805008200 Agric - Livestock /Poultry production - layers with wet manure management s NO 1 EPA2020; Livestock; Layers

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805008300 Agric - Livestock /Poultry production - layers with wet manure management s NO 1 EPA2020; Livestock; Layers

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805009100 Agric - Livestock /Poultry production - broilers /Confinement NO 1 EPA2020; Livestock; Broilers

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805009200 Agric - Livestock /Poultry production - broilers /Manure handling and stora NO 1 EPA2020; Livestock; Broilers

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805009300 Agric - Livestock /Poultry production - broilers /Land application of manur NO 1 EPA2020; Livestock; Broilers

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805010100 Agric - Livestock /Poultry production - turkeys /Confinement NO 1 EPA2020; Livestock; Turkeys

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805010200 Agric - Livestock /Poultry production - turkeys /Manure handling and storag NO 1 EPA2020; Livestock; Turkeys

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805010300 Agric - Livestock /Poultry production - turkeys /Land application of manure NO 1 EPA2020; Livestock; Turkeys

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805018000 Agric - Livestock /Dairy cattle composite /Not Elsewhere Classified NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805019100 Agric - Livestock /Dairy cattle - flush dairy /Confinement NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805019200 Agric - Livestock /Dairy cattle - flush dairy /Manure handling and storage NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805019300 Agric - Livestock /Dairy cattle - flush dairy /Land application of manure NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805021100 Agric - Livestock /Dairy cattle - scrape dairy /Confinement NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805021200 Agric - Livestock /Dairy cattle - scrape dairy /Manure handling and storage NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805021300 Agric - Livestock /Dairy cattle - scrape dairy /Land application of manure NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805022100 Agric - Livestock /Dairy cattle - deep pit dairy /Confinement NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805022200 Agric - Livestock /Dairy cattle - deep pit dairy /Manure handling and stora NO 1 EPA2020; Livestock; Dairy Cow

App.B2.York.area.2007.17.25.xlsx Page 11 of 20FINAL GROWTH FACTOR REFERENCE GF_07_13 GF_07_17 GF_07_20 GF_07_25 GF_07_13 GF_07_17 GF_07_20 GF_07_25 CONTROL REFERENCE NH3_2007 NH3_17_GO NH3_17_CF Original GFs based on Column I Reference Final GFs based on Column J Reference

Use Original Estimates 1 1 1 1 1 1 1 1 0 1
Use Original Estimates 1 1 1 1 1 1 1 1 0 1
Use Original Estimates 1.02567 1.04298 1.05611 1.07845 1.02567 1.04298 1.05611 1.07845 1.58516725 1.653297738 1
Use Original Estimates 1.008097166 1.013515267 1.017593619 1.02444 1.008097166 1.013515267 1.017593619 1.02444 0 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 0 0 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 1.2820668 1.299400343 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 307.872352 312.0347862 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 458.18956 464.3842829 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 6.32329804 6.40878903 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 38.15124 38.66704476 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 0 0 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 35.745574 36.22885416 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 0 0 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 0 0 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 0.86689932 0.878619799 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 4.5553374 4.616925562 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 1.8246916 1.84936143 1
Use Original Estimates 1.0081 1.01352 1.01759 1.02444 1.0081 1.01352 1.01759 1.02444 161.74054 163.9272721 1
Use Original Estimates 1.0107 1.01698 1.02104 1.0299 1.0107 1.01698 1.02104 1.0299 26.18352 26.62811617 1
Use Original Estimates 1.0107 1.01698 1.02104 1.0299 1.0107 1.01698 1.02104 1.0299 0.010499856 0.010678144 1
Use Original Estimates 1.0107 1.01698 1.02104 1.0299 1.0107 1.01698 1.02104 1.0299 21.02616 21.3831842 1
Use Original Estimates 1.0107 1.01698 1.02104 1.0299 1.0107 1.01698 1.02104 1.0299 108.70128 110.5470277 1
Use Original Estimates 1.0107 1.01698 1.02104 1.0299 1.0107 1.01698 1.02104 1.0299 9.217128 9.373634833 1
Use Original Estimates 1.12009 1.19092 1.23711 1.33649 1.12009 1.19092 1.23711 1.33649 362.3376 431.5150946 1
Use Original Estimates 1.12009 1.19092 1.23711 1.33649 1.12009 1.19092 1.23711 1.33649 12.179304 14.50457672 1
Use Original Estimates 1.12009 1.19092 1.23711 1.33649 1.12009 1.19092 1.23711 1.33649 0 0 1
Use Original Estimates 1.12009 1.19092 1.23711 1.33649 1.12009 1.19092 1.23711 1.33649 0 0 1
Use Original Estimates 1.12009 1.19092 1.23711 1.33649 1.12009 1.19092 1.23711 1.33649 0 0 1
Use Original Estimates 1.1689 1.26854 1.33354 1.47331 1.1689 1.26854 1.33354 1.47331 52.10256 66.09418146 1
Use Original Estimates 1.1689 1.26854 1.33354 1.47331 1.1689 1.26854 1.33354 1.47331 9.468384 12.01102384 1
Use Original Estimates 1.1689 1.26854 1.33354 1.47331 1.1689 1.26854 1.33354 1.47331 42.58128 54.01605693 1
Use Original Estimates 1 1 1 1 1 1 1 1 285.6384 285.6384 1
Use Original Estimates 1 1 1 1 1 1 1 1 51.44136 51.44136 1
Use Original Estimates 1 1 1 1 1 1 1 1 256.5456 256.5456 1
Use Original Estimates 1 1 1 1 1 1 1 1 243.3216 243.3216 1
Use Original Estimates 1 1 1 1 1 1 1 1 1.533984 1.533984 1
Use Original Estimates 1 1 1 1 1 1 1 1 4.324248 4.324248 1
Use Original Estimates 1 1 1 1 1 1 1 1 0.4350696 0.4350696 1
Use Original Estimates 1 1 1 1 1 1 1 1 54.08616 54.08616 1
Use Original Estimates 1 1 1 1 1 1 1 1 54.08616 54.08616 1
Use Original Estimates 1 1 1 1 1 1 1 1 123.51216 123.51216 1
Use Original Estimates 1 1 1 1 1 1 1 1 4.707744 4.707744 1
Use Original Estimates 1 1 1 1 1 1 1 1 0.2195184 0.2195184 1

App.B2.York.area.2007.17.25.xlsx Page 12 of 20NH3_17_GC NH3_25_GO NH3_25_CF NH3_25_GC NOX_2007 NOX_17_GO NOX_17_CF NOX_17_GC NOX_25_GO NOX_25_CF NOX_25_GC Without TF

P10_2007 With TF

P10_2007_TF With TF

P10_17_GO P10_17_CF With TF

P10_17_GC With TF

P10_25_GO

0 0 1 0 173.86361 173.86361 1 173.86361 173.86361 1 173.86361 591.1362739 591.1362739 591.1362739 1 591.1362739 591.1362739

0 0 1 0 0 0 1 0 0 1 0 0 0 0 1 0 0

1.653297738 1.709523621 1 1.709523621 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 3067.079224 1574.52637 1595.806514 1 1595.806514 1613.007794

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

1.299400343 1.313400513 1 1.313400513 0 1 0 0 1 0 0 0 1 0 0

312.0347862 315.3967523 1 315.3967523 0 1 0 0 1 0 0 0 1 0 0

464.3842829 469.3877128 1 469.3877128 0 1 0 0 1 0 0 0 1 0 0

6.40878903 6.477839444 1 6.477839444 0 1 0 0 1 0 0 0 1 0 0

38.66704476 39.08365631 1 39.08365631 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

36.22885416 36.61919583 1 36.61919583 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0.878619799 0.888086339 1 0.888086339 0 1 0 0 1 0 0 0 1 0 0

4.616925562 4.666669846 1 4.666669846 0 1 0 0 1 0 0 0 1 0 0

1.84936143 1.869287063 1 1.869287063 0 1 0 0 1 0 0 0 1 0 0

163.9272721 165.6934788 1 165.6934788 0 1 0 0 1 0 0 0 1 0 0

26.62811617 26.96640725 1 26.96640725 0 1 0 0 1 0 0 0 1 0 0

0.010678144 0.010813802 1 0.010813802 0 1 0 0 1 0 0 0 1 0 0

21.3831842 21.65484218 1 21.65484218 0 1 0 0 1 0 0 0 1 0 0

110.5470277 111.9514483 1 111.9514483 0 1 0 0 1 0 0 0 1 0 0

9.373634833 9.492720127 1 9.492720127 0 1 0 0 1 0 0 0 1 0 0

431.5150946 484.260579 1 484.260579 0 1 0 0 1 0 0 0 1 0 0

14.50457672 16.277518 1 16.277518 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

66.09418146 76.76322267 1 76.76322267 0 1 0 0 1 0 0 0 1 0 0

12.01102384 13.94986483 1 13.94986483 0 1 0 0 1 0 0 0 1 0 0

54.01605693 62.73542564 1 62.73542564 0 1 0 0 1 0 0 0 1 0 0

285.6384 285.6384 1 285.6384 0 1 0 0 1 0 0 0 1 0 0

51.44136 51.44136 1 51.44136 0 1 0 0 1 0 0 0 1 0 0

256.5456 256.5456 1 256.5456 0 1 0 0 1 0 0 0 1 0 0

243.3216 243.3216 1 243.3216 0 1 0 0 1 0 0 0 1 0 0

1.533984 1.533984 1 1.533984 0 1 0 0 1 0 0 0 1 0 0

4.324248 4.324248 1 4.324248 0 1 0 0 1 0 0 0 1 0 0

0.4350696 0.4350696 1 0.4350696 0 1 0 0 1 0 0 0 1 0 0

54.08616 54.08616 1 54.08616 0 1 0 0 1 0 0 0 1 0 0

54.08616 54.08616 1 54.08616 0 1 0 0 1 0 0 0 1 0 0

123.51216 123.51216 1 123.51216 0 1 0 0 1 0 0 0 1 0 0

4.707744 4.707744 1 4.707744 0 1 0 0 1 0 0 0 1 0 0

0.2195184 0.2195184 1 0.2195184 0 1 0 0 1 0 0 0 1 0 0

App.B2.York.area.2007.17.25.xlsx Page 13 of 20P10_25_CF With TF

P10_25_GC Without TF

P25_2007 With TF

P25_2007_TF With TF

P25_17_GO P25_17_CF With TF

P25_17_GC With TF

P25_25_GO P25_25_CF With TF

P25_25_GC SO2_2007 SO2_17_GO SO2_17_CF SO2_17_GC SO2_17_CF SO2_17_GC SO2_25_GO When Fully Adopted Low S Oil Currently Adopted Low S Oil

1 591.1362739 591.1362739 591.1362739 591.1362739 1 591.1362739 591.1362739 1 591.1362739 0 1 0 1 0 0

1 0 0 0 0 1 0 0 1 0 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 1613.007794 613.4158449 314.905274 319.1613028 1 319.1613028 322.6015588 1 322.6015588 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

App.B2.York.area.2007.17.25.xlsx Page 14 of 20SO2_25_CF SO2_25_GC SO2_25_CF SO2_25_GC VOC_2007 VOC_17_GO VOC_17_CF VOC_17_GC VOC_25_GO VOC_25_CF VOC_25_GC Currently Adopted Low S Oil When Fully Adopted Low S Oil

1 0 1 0 403.3635751 403.3635751 1 403.3635751 403.3635751 1 403.3635751

1 0 1 0 0 0 1 0 0 1 0

1 0 1 0 92.85891115 96.84998715 1 96.84998715 100.1436927 1 100.1436927

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

App.B2.York.area.2007.17.25.xlsx Page 15 of 20STATE FIPS CNTY

NAME NONATTAINMENT AREA SCC SCC_DESCRIPTION TF_SCC TF ORIGINAL GROWTH FACTOR REFERENCE

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805022300 Agric - Livestock /Dairy cattle - deep pit dairy /Land application of manur NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805023100 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Confinement NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805023200 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Manure handling and NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805023300 Agric - Livestock /Dairy cattle - drylot/pasture dairy /Land application of NO 1 EPA2020; Livestock; Dairy Cow

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805025000 Agric - Livestock /Swine production composite /Not Elsewhere Classified (se NO 1 EPA2020; Livestock; Pork

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805030000 Agric - Livestock /Poultry Waste Emissions /Not Elsewhere Classified (see a NO 1 EPA2020; Livestock; Poultry

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805030007 Agric - Livestock /Poultry Waste Emissions /Ducks NO 1 EPA2020; Livestock; Poultry

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805030008 Agric - Livestock /Poultry Waste Emissions /Geese NO 1 EPA2020; Livestock; Poultry

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805035000 Agric - Livestock /Horses & Ponies Waste Emissions /Not Elsewhere Classifie NO 1 EPA2020; Livestock; Overall

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805039100 Agric - Livestock /Swine production - operations with lagoons (unspecified NO 1 EPA2020; Livestock; Pork

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805039200 Agric - Livestock /Swine production - operations with lagoons (unspecified NO 1 EPA2020; Livestock; Pork

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805039300 Agric - Livestock /Swine production - operations with lagoons (unspecified NO 1 EPA2020; Livestock; Pork

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805040000 Agric - Livestock /Sheep & Lambs Waste Emissions /Total NO 1 EPA2020; livestock; Overall

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805045000 Agric - Livestock /Goats Waste Emissions /Not Elsewhere Classified NO 1 EPA2020; livestock; Overall

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805047100 Agric - Livestock /Swine production - deep-pit house operations (unspecifie NO 1 EPA2020; livestock; Pork

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805047300 Agric - Livestock /Swine production - deep-pit house operations (unspecifie NO 1 EPA2020; livestock; Pork

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2805053100 Agric - Livestock /Swine production - outdoor operations (unspecified anima NO 1 EPA2020; livestock; Pork

PA 42133 York 2006 Harrisburg-Lebanon-Carlisle-York, PA; 1997 York, PA 2810001000 Forest Wildfires - Wildfires - Unspecified NO 1 Default - No Growth

App.B2.York.area.2007.17.25.xlsx Page 16 of 20FINAL GROWTH FACTOR REFERENCE GF_07_13 GF_07_17 GF_07_20 GF_07_25 GF_07_13 GF_07_17 GF_07_20 GF_07_25 CONTROL REFERENCE NH3_2007 NH3_17_GO NH3_17_CF Original GFs based on Column I Reference Final GFs based on Column J Reference

Use Original Estimates 1 1 1 1 1 1 1 1 2.724144 2.724144 1
Use Original Estimates 1 1 1 1 1 1 1 1 45.35832 45.35832 1
Use Original Estimates 1 1 1 1 1 1 1 1 0.780216 0.780216 1
Use Original Estimates 1 1 1 1 1 1 1 1 60.43368 60.43368 1
Use Original Estimates 1.04573 1.07267 1.09022 1.12806 1.04573 1.07267 1.09022 1.12806 0 0 1
Use Original Estimates 1.13286 1.21125 1.2624 1.37235 1.13286 1.21125 1.2624 1.37235 29.0928 35.238654 1
Use Original Estimates 1.13286 1.21125 1.2624 1.37235 1.13286 1.21125 1.2624 1.37235 0.4800312 0.581437791 1
Use Original Estimates 1.13286 1.21125 1.2624 1.37235 1.13286 1.21125 1.2624 1.37235 0.2340648 0.283510989 1
Use Original Estimates 1.04783 1.07605 1.09447 1.13405 1.04783 1.07605 1.09447 1.13405 67.31016 72.42909767 1
Use Original Estimates 1.04573 1.07267 1.09022 1.12806 1.04573 1.07267 1.09022 1.12806 34.77912 37.30651865 1
Use Original Estimates 1.04573 1.07267 1.09022 1.12806 1.04573 1.07267 1.09022 1.12806 75.3768 80.85443206 1
Use Original Estimates 1.04573 1.07267 1.09022 1.12806 1.04573 1.07267 1.09022 1.12806 5.792112 6.213024779 1
Use Original Estimates 1.04783 1.07605 1.09447 1.13405 1.04783 1.07605 1.09447 1.13405 16.79448 18.0717002 1
Use Original Estimates 1.04783 1.07605 1.09447 1.13405 1.04783 1.07605 1.09447 1.13405 22.21632 23.90587114 1
Use Original Estimates 1.04573 1.07267 1.09022 1.12806 1.04573 1.07267 1.09022 1.12806 95.34504 102.2737641 1
Use Original Estimates 1.04573 1.07267 1.09022 1.12806 1.04573 1.07267 1.09022 1.12806 54.35064 58.30030101 1
Use Original Estimates 1.04573 1.07267 1.09022 1.12806 1.04573 1.07267 1.09022 1.12806 0.5673096 0.608535989 1
Use Original Estimates 1 1 1 1 1 1 1 1 0.011158 0.011158 1

3315.588542 3465.849497

App.B2.York.area.2007.17.25.xlsx Page 17 of 20NH3_17_GC NH3_25_GO NH3_25_CF NH3_25_GC NOX_2007 NOX_17_GO NOX_17_CF NOX_17_GC NOX_25_GO NOX_25_CF NOX_25_GC Without TF

P10_2007 With TF

P10_2007_TF With TF

P10_17_GO P10_17_CF With TF

P10_17_GC With TF

P10_25_GO

2.724144 2.724144 1 2.724144 0 1 0 0 1 0 0 0 1 0 0

45.35832 45.35832 1 45.35832 0 1 0 0 1 0 0 0 1 0 0

0.780216 0.780216 1 0.780216 0 1 0 0 1 0 0 0 1 0 0

60.43368 60.43368 1 60.43368 0 1 0 0 1 0 0 0 1 0 0

0 0 1 0 0 1 0 0 1 0 0 0 1 0 0

35.238654 39.92550408 1 39.92550408 0 1 0 0 1 0 0 0 1 0 0

0.581437791 0.658770817 1 0.658770817 0 1 0 0 1 0 0 0 1 0 0

0.283510989 0.321218828 1 0.321218828 0 1 0 0 1 0 0 0 1 0 0

72.42909767 76.33308695 1 76.33308695 0 1 0 0 1 0 0 0 1 0 0

37.30651865 39.23293411 1 39.23293411 0 1 0 0 1 0 0 0 1 0 0

80.85443206 85.02955301 1 85.02955301 0 1 0 0 1 0 0 0 1 0 0

6.213024779 6.533849863 1 6.533849863 0 1 0 0 1 0 0 0 1 0 0

18.0717002 19.04578004 1 19.04578004 0 1 0 0 1 0 0 0 1 0 0

23.90587114 25.1944177 1 25.1944177 0 1 0 0 1 0 0 0 1 0 0

102.2737641 107.5549258 1 107.5549258 0 1 0 0 1 0 0 0 1 0 0

58.30030101 61.31078296 1 61.31078296 0 1 0 0 1 0 0 0 1 0 0

0.608535989 0.639959267 1 0.639959267 0 1 0 0 1 0 0 0 1 0 0

0.011158 0.011158 1 0.011158 0.013965 0.013965 1 0.013965 0.013965 1 0.013965 0.072847 0.072847 0.072847 1 0.072847 0.072847

3465.849497 3579.600949 3579.600949 1679.992618 1694.446241 1649.414791 1726.104221 1677.737728 13928.37111 8092.984634 8261.629239 8261.108477 8460.876807

App.B2.York.area.2007.17.25.xlsx Page 18 of 20P10_25_CF With TF

P10_25_GC Without TF

P25_2007 With TF

P25_2007_TF With TF

P25_17_GO P25_17_CF With TF

P25_17_GC With TF

P25_25_GO P25_25_CF With TF

P25_25_GC SO2_2007 SO2_17_GO SO2_17_CF SO2_17_GC SO2_17_CF SO2_17_GC SO2_25_GO When Fully Adopted Low S Oil Currently Adopted Low S Oil

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0 0 0 1 0 0 1 0 0 1 0 1 0 0

1 0.072847 0.06172 0.06172 0.06172 1 0.06172 0.06172 1 0.06172 0.006519 0.006519 1 0.006519 1 0.006519 0.006519

8420.724353 3230.961837 2393.689041 2364.813498 2364.292737 2365.109053 2324.956599 1683.664135 1480.139283 1480.139283 892.012045 1413.78393

App.B2.York.area.2007.17.25.xlsx Page 19 of 20SO2_25_CF SO2_25_GC SO2_25_CF SO2_25_GC VOC_2007 VOC_17_GO VOC_17_CF VOC_17_GC VOC_25_GO VOC_25_CF VOC_25_GC Currently Adopted Low S Oil When Fully Adopted Low S Oil

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0 1 0 0 1 0 0 1 0

1 0.006519 1 0.006519 0.160382 0.160382 1 0.160382 0.160382 1 0.160382

1058.891024 878.7913809 5956.025436 5980.475615 5832.563556 5971.799398 5819.991187

App.B2.York.area.2007.17.25.xlsx Page 20 of 20