# APPENDIX A

Air Quality System (AQS) and Indiana Department of Environmental Management (IDEM) Fine Particle Monitor Data Values for the Chicago Area (2000 – 2010)

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## A-1 

# Monitoring Data for Indi ana’s Portion of the Chicago Area

SITE ID COUNTY SITE NAME YEAR Annual Average μg/m 3 2008-2010 Average μg/m 3

18-089-0006 Lake East Chicago - Franklin School 2008 11.95

11.9 2009 11.34

2010 12.48

18-089-0027 Lake Griffith 2008 11.69
11.7 2009 11.00
2010 12.39

18-089-2004 Lake Hammond - Purdue 2008 11.66
N/A* 2009 N/A*
2010 12.30

18-089-2010 Lake Hammond - Clark High School 2008 12.42
11.7 2009 10.80
2010 11.90

18-089-0031 Lake Gary - Madison Street 2008 12.27
12.4 2009 12.12
2010 12.90

18-127-0024 Porter Ogden Dunes 2008 10.89
11.2 2009 11.29

2008 11.56

*The Hammond - Purdue monitoring site wa s physically removed to accommodate heating and cooling building repairs on the roof which were conducted from February 12, 2009 through November 18, 2009. As a result, the 2009 monitoring data and the 2008 through 2010 three year design value are considered incomplete.

Site ID County Site Name Yearly Annual Means

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

18-089-0006 Lake East Chicago -
Franklin School 15.76 16.11 14.92 14.60 13.18 15.76 13.18 14.44 11.95 11.34 12.48

18-089-0022 Lake Gary - IITRI 17.38 17.99 16.43 16.64 16.11 18.25 13.57 15.06 12.39 12.48 13.61

18-089-0026 Lake Gary - Burr
Street 17.24 18.19 17.67 17.38 16.53 18.72 14.71 15.87 E 13.82 13.37 14.10

18-089-0027 Lake Griffith 14.04 15.18 14.60 14.10 12.82 15.46 12.29 13.17 11.69 11.00 12.39

18-089-1003 Lake Gary - Ivanhoe
School 15.33 14.98 15.22 14.14 12.92 15.71 12.57 14.01

18-089-1016 Lake Gary - Federal Building 16.03 16.26 15.92

18-089-2004 Lake Hammond -
Purdue 14.96 15.38 14.70 14.55 13.26 15.40 12.67 13.80 11.66 N/A* 12.30

18-089-2010 Lake Hammond - Clark High

School 14.34 15.55 14.88 14.26 12.47 15.59 12.79 13.68 12.42 10.80 11.90

18-089-0031 Lake Gary - Madison
Street 16.61 13.30 14.55 12.27 12.12 12.90

18-127-0020 Porter Dunes National
Lakeshore 13.53 13.62 13.24 13.19 11.84 14.00 11.02 13.04

18-127-0024 Porter Ogden Dunes 14.55 14.18 14.20 12.94 12.38 14.59 11.81 13.79 10.89 11.29 11.56

Source-Oriented Site NOT used for comparison to the annual standard for fine particles.

## A-2 *The Hammond - Purdue monitoring site was physically removed to accommodate heating and cooli ng building repairs on the roof which were conducted from February 12, 2009 through November 18, 2009. As a result, the 2009 monitoring data is considered incomplete.

E Exceptional event data removed from ca lculations.

The Gary - Ivanhoe School monitor was discontinued on December 31, 2007.

The Gary - Federal Building monitor was discontinued in September 2002.

The Gary - Madison Street monito r began operation on July 1, 2005.

The Dunes National Lakeshore monitor was discontinued on December 31, 2007.



### Site ID County Site Name Three Year Design Values

00-02 01-03 02-04 03-05 04-06 05-07 06-08 07-09 08-10

18-089-0006 Lake East Chicago -
Franklin School 15.6 15.2 14.2 14.5 14.0 14.5 13.2 12.6 11.9

18-089-0022 Lake Gary - IITRI 17.3 17.0 16.4 17.0 16.0 15.6 13.7 13.3 12.8

18-089-0026 Lake Gary - Burr Street 17.7 17.7 17.2 17.5 16.7 16.4 14.8 14.4 13.8

18-089-0027 Lake Griffith 14.6 14.6 13.8 14.1 13.5 13.6 12.4 12.0 11.7

18-089-1003 Lake Gary - Ivanhoe
School 15.2 14.8 14.1 14.3 13.7 14.1

18-089-1016 Lake Gary - Federal Building 16.1

18-089-2004 Lake Hammond - Purdue 15.0 14.9 14.2 14.4 13.8 14.0 12.7 N/A* N/A*

18-089-2010 Lake Hammond - Clark High School 14.9 14.9 13.9 14.1 13.6 14.0 13.0 12.3 11.7

18-089-0031 Lake Gary - Madison
Street 16.6 15.0 14.8 13.4 13.0 12.4

18-127-0020 Porter Dunes National
Lakeshore 13.5 13.4 12.8 13.0 12.3 12.7

18-127-0024 Porter Ogden Dunes 14.3 13.8 13.2 13.3 12.9 13.4 12.2 12.0 11.2

Value above the annual sta ndard for fine particles

Source-Oriented Site NOT used for comparison to the annual standard for fine particles.

Red Text Indicates Incomplete Data

Blue Text Indicates Design Valu e Based on One Year of Data

Text Indicates Design Value Based on Two Years of Data

*The Hammond - Purdue monitoring site wa s physically removed to accommodate he ating and cooling building repairs on the roof which were conducted from February 12, 2009 through Nove mber 18, 2009. As a result, the 2007 through 2009 and 2008 through 2010 three year design values are considered incomplete.

The Gary - Ivanhoe School monitor was discontinued on December 31, 2007.

The Gary - Federal Building monitor was discontinued in September 2002.

The Gary - Madison Street monito r began operation on July 1, 2005.

The Dunes National Lakeshore monitor was discontinued on December 31, 2007.

## A-3 Annual Fine Particle Trends for In diana’s Portion of the Chicago Area, 2006 through 2010

Red line represents the annual sta ndard for fine particles of 15.0 ug/m 3

The Hammond - Purdue monitoring site wa s physically removed to accommodate heating and cooling building repairs on the roof which were conducted from February 12, 2009 through November 18, 2009. As a result, the 2009 monitoring data is considered incomplete.



## Fine Particle Design Values for Indiana’s Portion of the Chicago Area, 2006 through 2010

Red line represents the annual sta ndard for fine particles of 15 μg/m 3

The Hammond - Purdue monitoring site wa s physically removed to accommodate heating and cooling building repairs on the roof which were conducted from February 12, 2009 thr ough November 18, 2009. As a result, the 2007 through 2009 and 2008 through 2010 three year design values are considered incomplete. 

### 8.0 9.0 10.0 11.0 12.0 13.0 14.0 15.0 16.0

06

‐ 08 07

‐ 09 08

‐ 10

East Chicago ‐ Franklin School Griffith Hammond ‐ Purdue

Hammond ‐ Clark High Schoo l Gary ‐ Madison Street Ogden Dunesug/m3 

### 8.0 9.0 10.0 11.0 12.0 13.0 14.0 15.0 16.0

2006 2007 2008 2009 2010

East Chicago ‐ Franklin School Griffith Gary ‐ Ivanhoe School Hammond ‐ Purdue
Hammond ‐ Clark High School Gary ‐ Madison Street
Dunes National Lakeshore Ogden Dunesug/m3



### Year

## A-4 

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## A-5 

# Monitoring Data for Illinois’ Portion of the Chicago Area

SITE ID COUNTY SITE NAME YEAR Annual Average μg/m 3 2008-2010 Average μg/m 3

17-031-0022 Cook Chicago - Washington High School 2008 12.54
12.7 2009 11.62

2010 14.04

17-031-0050 Cook Chicago - Southeast Police Station 2008 11.80
11.8 2009 10.99

2010 12.47

17-.031-0052 Cook Chicago - Mayfair Pump Station 2008 12.18

12.5 2009 12.69

2010 12.57

17-031-0057 Cook Chicago - Springfield Pump Station 2008 12.03
11.8 2009 11.33

2010 12.03*

17-031-0076 Cook Chicago - Com Ed Maintenance Building 2008 11.89
11.8 2009 11.12

2010 12.25

17-031-2001 Cook Blue Island 2008 12.50
11.9 2009 11.68
2010 11.59

17-031-3301 Cook Summit 2008 12.03
12.0 2009 11.62

2010 12.23

17-031-4007 Cook Des Plaines 2008 11.35

11.0 2009 11.02

2010 10.60

17-031-4201 Cook Northbrook 2008 10.09

9.6 2009 9.33
2010 9.34

17-031-6005 Cook Cicero 2008 13.25*

12.4 2009 11.98*

2010 11.90

17-043-4002 DuPage Naperville 2008 11.28

10.9 2009 9.83

2010 11.67

17-089-0003 Kane Elgin 2008 10.79

10.6 2009 9.61

2010 11.29

17-089-0007 Kane Aurora 2008 10.34

10.6 2009 10.01

2010 11.44

17-097-1007 Lake Zion 2008 9.34

9.3 2009 8.83

2010 9.66

17-111-0001 McHenry Cary 2008 10.10

10.0 2009 9.65

2010 10.24

17-197-1002 Will Joliet 2008 11.66
11.3 2009 10.52

2010 11.83

17-197-1011 Will Braidwood 2008 10.31
9.7 2009 8.73

2010 10.02 *Indicates that the mean does not satisfy summary criteria Red Text Indicates Incomplete Data

## A-6 Site ID County Site Name Yearly Annual Means

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

17-031-0022 Cook Chicago - Washington High School 17.87 17.11 15.31 15.58 14.16 16.94 13.23 15.73 12.54 11.62 14.04

17-031-0050 Cook Chicago -
Southeast
Police Station 16.46* 18.12* 15.47 15.36 13.76 16.56 13.33 14.14 11.80 10.99 12.47

17-.031-0052 Cook Chicago - Mayfair Pump
Station 18.33 19.39 16.51 15.85 15.27 16.97 14.50 15.49 12.18 12.69 12.57

17-031-0057 Cook Chicago - Springfield Pump Station 17.31 16.24 15.21 15.61 13.75 16.66 13.51 15.18 12.03 11.33 12.03*

17-031-0076 Cook Chicago -
Com Ed
Maintenance

Building 16.61 15.53* 15.66 14.84 14.15 16.56 13.48 14.30 11.89 11.12 12.25

17-031-1016 Cook McCook 20.20 20.85 17.71 16.69 16.73 18.30 15.58 15.63 12.88 12.60 12.58

17-031-2001 Cook Blue Island 16.82 17.11 15.18* 14.92 14.12 16.39 13.18 14.32 12.50 11.68 11.59

17-031-3103 Cook Schiller Park 16.00 17.54 14.84 15.35 13.59* 12.91 12.64

17-031-3301 Cook Summit 16.90 16.51 16.12 15.60 14.24 16.94 13.78 14.77 12.03 11.62 12.23

17-031-4007 Cook Des Plaines 14.82 14.44 13.19 12.37 13.90 11.36 12.72 11.35 11.02 10.60

17-031-4201 Cook Northbrook 14.28 14.70 13.17 12.14 11.15 14.52 11.84 13.21 10.09 9.33 9.34

17-031-6005 Cook Cicero 16.54* 17.34 15.99 16.77* 15.19 16.25 14.34 14.79 13.25* 11.98* 11.90

17-043-4002 DuPage Naperville 15.25 15.54 14.68 13.11 12.69 15.62 12.66 13.77 11.28 9.83 11.67

17-089-0003 Kane Elgin 14.52* 15.04 14.24 13.33 11.44 15.64 11.80 13.19 10.79 9.61 11.29

17-089-0007 Kane Aurora 15.89 12.61 14.53 10.34 10.01 11.44

17-097-1007 Lake Zion 12.16 13.81* 13.44 11.26 10.25 13.78 10.69 11.86 9.34 8.83 9.66

17-111-0001 McHenry Cary 14.74* 13.70 12.26 12.21 11.31 13.90 11.76 11.59 10.10 9.65 10.24

17-197-1002 Will Joliet 16.02 16.06* 14.33 13.76 11.90* 15.43 12.17 14.58 11.66 10.52 11.83

17-197-1011 Will Braidwood 14.21 12.92 13.47 11.88 10.26 13.21 9.82 12.07* 10.31 8.73 10.02

Source-Oriented Site NOT used for comparison to the Annual PM 2.5 Standard.

*Indicates that the mean does not satisfy summary criteria

The Schiller Park monitor began operation in 2004.

The Des Plaines monitor began operation in 2001.

The Aurora monitor began operation in 2005.

## A-7 Site ID County Site Name Three Year Design Values

00-02 01-03 02-04 03-05 04-06 05-07 06-08 07-09 08-10 17-031-0022 Cook Chicago - Washington High School 16.76 16.00 15.02 15.56 14.78 15.30 13.83 13.30 12.73

17-031-0050 Cook Chicago - Southeast Police Station 16.68 16.31 14.86 15.23 14.55 14.68 13.09 12.31 11.75

17-.031-0052 Cook Chicago - Mayfair Pump Station 18.08 17.25 15.88 16.03 15.58 15.65 14.06 13.45 12.48 17-031-0057 Cook Chicago - Springfield Pump Station 16.25 15.69 14.86 15.34 14.64 15.12 13.57 12.85 11.80 17-031-0076 Cook Chicago - Com Ed Maintenance Building 15.93 15.34 14.88 15.18 14.73 14.78 13.22 12.44 11.80

17-031-1016 Cook McCook 19.59 18.42 17.04 17.24 16.87 16.50 14.70 13.70 12.69

17-031-2001 Cook Blue Island 16.37 15.73 14.74 15.14 14.56 14.63 13.33 12.83 11.92

17-031-3103 Cook Schiller Park 16.00 16.77 16.13 15.91 14.59 13.95 13.05

17-031-3301 Cook Summit 16.51 16.08 15.32 15.59 14.99 15.16 13.53 12.81 11.96

17-031-4007 Cook Des Plaines 14.63 14.15 13.33 13.15 12.54 12.66 11.81 11.70 10.99

17-031-4201 Cook Northbrook 14.05 13.34 12.15 12.60 12.50 13.19 11.71 10.88 9.59

17-031-6005 Cook Cicero 16.62 16.70 15.98 16.07 15.26 15.13 14.12 13.34 12.38 17-043-4002 DuPage Naperville 15.16 14.44 13.49 13.81 13.66 14.02 12.57 11.63 10.93 17-089-0003 Kane Elgin 14.60 14.20 13.00 13.47 12.96 13.54 11.93 11.20 10.56

17-089-0007 Kane Aurora 15.89 14.25 14.34 12.49 11.63 10.60

17-097-1007 Lake Zion 13.14 12.84 11.65 11.76 11.57 12.11 10.63 10.01 9.28 17-111-0001 McHenry Cary 13.56 12.72 11.93 12.47 12.32 12.42 11.15 10.45 10.00

17-197-1002 Will Joliet 15.47 14.72 13.33 13.69 13.16 14.06 12.80 12.25 11.34

17-197-1011 Will Braidwood 13.53 12.76 11.87 11.78 11.10 11.70 10.73 10.37 9.69

Value above the annual standa rd for fine particles.

Source-Oriented Site NOT used for comparison to the annual standard for fine particles.

Red Text Indicates Incomplete Data

Blue Text Indicates Design Valu e Based on One Year of Data

Green Text Indicates Design Valu e Based on Two Years of Data

The Schiller Park monitor began operation in 2004.

The Des Plaines monitor began operation in 2001.

The Aurora monitor began operation in 2005.

## A-8 Annual Fine Particle Trends for Illinois’ Portion of the Chicago Area, 2006 through 2010

Red line represents the annual standard for fine particles of 15 μg/m 3 

### 8.0 9.0 10.0 11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0

2006 2007 2008 2009 2010

Chicago ‐ Washington High School Chicago ‐ Southeast Police Station Chicago ‐ Mayfair Pump Station Chicago ‐ Springfield Pump Station Chicago ‐ Com Ed Maintenance Building Blue Island
Summit Des Plaines
Northbroo k Cicero Naperville Elgin

Aurora Zion Cary Joliet
Braidwoodug/m3



### Year

## A-9 Fine Particle Design Values for Il linois’ Portion of the Chicago Area, 2006 through 2010

Red line represents the annual sta ndard for fine particles of 15 μg/m 3 

### 8.0 9.0 10.0 11.0 12.0 13.0 14.0 15.0 16.0

06

‐ 08 07

‐ 09 08

‐ 10
Chicago

– Washington High Schoo l Chicago

– Southeast Police Station Chicago

‐ Mayfair Pump Station Chicago

‐ Springfield Pump Station Chicago

‐ Com Ed Maintenance Building Blue Island
Summit Des Plaines Northbroo k
Cicero Naperville Elgin

Aurora Zion Cary Joliet Braidwoodug/m3

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# APPENDIX B

Nitrogen Oxides (NO

x 

# ), Sulfur Dioxide (SO 2 

# ), and Direct Fine Particle (PM 2.5 

# ) Point Source Emissions (2002, 2005, and 2008), Chicago Area

# This page left intentionally blank.

## B-1 Lake and Porter Counties, IN Point Source Totals (Tons per Year)

Year NO
x 

## SO 2 

## Direct PM 2.5 

## 2002 60,808.11 59,263.34 7,313.70 2005 41,948.57 48,139.53 6,451.40 2008 39,945.76 54,916.02 6,676.32

NO
x 

## Point Source Emission Trends, Lake and Porter Counties, Indiana, 2002, 2005, and 2008

SO 2 

## Point Source Emission Trends, Lake and Porter Counties, Indiana, 2002, 2005, and 2008 0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000

2002 2005 2008TonsperYear



### Nitrogen Oxides Year

0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000

2002 2005 2008TonsperYear



### Sulfur Dioxide Year

## B-2 Direct PM 2.5 

## Point Source Emission Trends, Lake and Porter Counties, Indiana, 2002, 2005, and 2008

0 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000

2002 2005 2008TonsperYear



### Direct Fine Particles Year

## B-3 

# This page left intentionally blank.

## B-4 Entire Chicago Area Point Sou rce Totals (Tons per Year)

Year NO
x 

## SO 2 

## Direct PM 2.5 

## 2002 114,858.11 180,861.34 10,070.70 2005 86,943.07 154,291.53 9,759.40 2008 75,884.76 145,622.02 10,535.32

NO
x 

## Point Source Emission Trends, Entire Chicago Area, 2002, 2005, and 2008

SO 2 

## Point Source Emission Trends, Entire Chicago Area, 2002, 2005 and 2008 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000

2002 2005 2008TonsperYear



### Nitrogen Oxides Year

0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 160,000 180,000 200,000

2002 2005 2008TonsperYear



### Sulfur Dioxide Year

## B-5 Direct PM 2.5 

## Point Source Emission Trends, Entire Chicago Area, 2002, 2005 and 2008

0 3,000 6,000 9,000 12,000 15,000

2002 2005 2008TonsperYear



### Direct Fine Particles Year

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# APPENDIX C

Nitrogen Oxides (NO

x 

# ), Sulfur Dioxide (SO 2 

# ), and Direct Fine Particle (PM 2.5 

# ) Emissions, All Sources (2002, 2005, and 2008), Chicago Area

# This page left intentionally blank.

## C - 1 Lake and Porter Counties, IN Totals (Tons per Year)

Year NO
x 

## SO 2 

## Direct PM 2.5 

## 2002 106,180.29 64,999.42 12,966.68 2005 66,426.65 49,876.77 7,152.31 2008 59,581.74 56,198.68 7,250.93

2002-Lake and Porter Counties, IN Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 2,626.91 12,347.30 30,397.97 60,808.11 106,180.29
SO 2 

## 4,364.85 1,106.59 264.64 59,263.34 64,999.42
Direct PM 2.5 

## 4,404.91 685.43 562.64 7,313.70 12,966.68

2002-Lake and Porter Counties, IN Totals (Tons per Year)

COUNTY STATE SECTOR NO X 

## SO 2 

## Direct PM 2.5



## LAKE INDIANA AREA 2,010.98 3,318.89 2,322.39

LAKE INDIANA NONROAD 9,099.92 805.61 475.02

LAKE INDIANA POINT 35,255.39 35,957.52 5,025.35

PORTER INDIANA AREA 615.93 1,045.96 2,082.52

PORTER INDIANA NONROAD 3,247.38 300.98 210.41

PORTER INDIANA POINT 25,552.72 23,305.82 2,288.35

LAKE/PORTER INDIANA ONROAD 30,397.97 264.64 562.64

2005-Lake and Porter Counties, IN Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL

NO X 

## 2,236.89 8,145.64 14,095.55 41,948.57 66,426.65
SO 2 

## 697.87 892.93 146.44 48,139.53 49,876.77

Direct PM 2.5 

## 23.65 447.87 229.39 6,451.40 7,152.31

2005-Lake and Porter Counties, IN Totals (Tons per Year)

COUNTY STATE SECTOR NO X 

## SO 2 

## Direct PM 2.5



## LAKE INDIANA AREA 1,687.72 525.81 18.48

LAKE INDIANA NONROAD 4,957.96 551.71 271.08

LAKE INDIANA POINT 22,394.78 25,354.10 5,086.98

PORTER INDIANA AREA 549.17 172.06 5.17

PORTER INDIANA NONROAD 3,187.68 341.22 176.79

PORTER INDIANA POINT 19,553.79 22,785.43 1,364.42

LAKE/PORTER INDIANA ONROAD 14,095.55 146.44 229.39

## C - 2 2008-Lake and Porter Counties, IN Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL

NO X 

## 2,264.46 6,667.71 10,703.81 39,945.76 59,581.74
SO 2 

## 703.25 476.33 103.08 54,916.02 56,198.68

Direct PM 2.5 

## 23.60 363.91 187.10 6,676.32 7,250.93

2008-Lake and Porter Counties, IN Totals (Tons per Year)
COUNTY STATE SECTOR NO X 

## SO 2 

## Direct PM 2.5



## LAKE INDIANA AREA 1,707.89 529.04 18.43

LAKE INDIANA NONROAD 4,061.76 286.08 220.14

LAKE INDIANA POINT 23,273.37 28,744.32 5,249.09

PORTER INDIANA AREA 556.57 174.21 5.17

PORTER INDIANA NONROAD 2,605.95 190.25 143.77

PORTER INDIANA POINT 16,672.39 26,171.70 1,427.23

LAKE/PORTER INDIANA ONROAD 10,703.81 103.08 187.10

NO
x 

## Emission Trends, Lake and Porter Counties, Indiana, 2002, 2005, and 2008

0 20,000 40,000 60,000 80,000 100,000 120,000

2002 2005 2008TonsperYear



### Nitrogen Oxides Year

## C - 3 SO 2 

## Emission Trends, Lake and Porter Counties, Indiana, 2002, 2005, and 2008

Direct PM 2.5 

## Emission Trends, Lake a nd Porter Counties, Indiana, 2002, 2005, and 2008 0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000

2002 2005 2008TonsperYear



### Sulfur Dioxide Year

0 3,000 6,000 9,000 12,000 15,000

2002 2005 2008TonsperYear



### Direct Fine Particles Year

## C - 4 

# This page left intentionally blank.

## C - 5 Chicago Area Totals (Tons per Year)

Year NO
x 

## SO 2 

## Direct PM 2.5 

## 2002 447,601.29 197,480.42 32,069.68 2005 346,671.15 164,171.77 25,962.31 2008 278,649.74 152,367.68 25,767.93

2002-Chicago Area Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 34,951.91 99,773.30 198,017.97 114,858.11 447,601.29
SO 2 

## 7,654.85 4,849.59 4,114.64 180,861.34 197,480.42
Direct PM 2.5 

## 12,845.91 5,519.43 3,633.64 10,070.70 32,069.68

2005-Chicago Area Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 34,558.39 77,450.64 147,719.05 86,943.07 346,671.15
SO 2 

## 4,367.37 3,153.93 2,358.94 154,291.53 164,171.77
Direct PM 2.5 

## 8,838.65 4,691.37 2,672.89 9,759.40 25,962.31

2008-Chicago Area Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 34,582.46 57,851.71 110,330.81 75,884.76 278,649.74
SO 2 

## 4,812.25 1,255.33 678.08 145,622.02 152,367.68
Direct PM 2.5 

## 9,212.60 4,016.91 2,003.10 10,535.32 25,767.93

NO
x 

## Emission Trends, Entire Chicago Area, 2002, 2005, and 2008

0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000 450,000 500,000

2002 2005 2008TonsperYear



### Nitrogen Oxides Year

## C - 6 SO 2 

## Emission Trends, Entire Chicago Area, 2002, 2005, and 2008

Direct PM 2.5 

## Emission Trends, Entire Chicago Area, 2002, 2005, and 2008 0 50,000 100,000 150,000 200,000 250,000

2002 2005 2008TonsperYear



### Sulfur Dioxide Year

0 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000

2002 2005 2008TonsperYear



### Direct Fine Particles Year

# APPENDIX D

Nitrogen Oxides (NO

x 

# ) and Sulfur Dioxide (SO 2 

# ) Emission Trends from Electric Generating Units (EGUs), Lake and Porter Counties, Indiana (1999 to 2009)

# This page left intentionally blank.

## D-1 Indiana Statewide NO
x 

## Emissions from EGUs, 1999 to 2009

Indiana Statewide NO
x 

## Emissions from EGUs, 1999 to 2009 Year Total NO
x 

## Emissions, tons/year 1999 347,216.50 2000 334,522.10 2001 315,419.70 2002 281,146.10 2003 260,980.00 2004 224,311.30 2005 207,981.60 2006 202,728.00 2007 196,553.10 2008 196,134.50 2009 110,968.90 Budget 2009-2014 108,935 Budget 2015 and later 90,779

0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009TonsperYear



### Nitrogen Oxides Year

## D-2 NO
x 

## Emissions from EGUs, Lake and Porter Counties, Indiana, 1999 to 2009

NO
x 

## Emissions from EGUs, Lake and Porter Counties, Indiana, 1999 to 2009 Year Total NO
x 

## Emissions (tons/year) 1999 36,680.40 2000 33,554.90 2001 29,444.80 2002 23,645.40 2003 21,726.90 2004 22,289.60 2005 19,228.20 2006 17,688.90 2007 18,390.30 2008 18,916.30 2009 8,530.20

0 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009TonsperYear



### Nitrogen Oxides Year

## D-3 NOx Emissions from EGUs, Lake and Porter Counties, Indiana 1999 Facility NO
x 

## Emissions (tons/year)

Bailly 25,168.20
Dean H. Mitchell 3,397.10
State Line 8,115.10 Total 36,680.40

NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2000 Facility NO
x 

## Emissions (tons/year)

Bailly 20,824.40
Dean H. Mitchell 3,144.40
State Line 9,586.10 Total 33,554.90

NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2001 Facility NO
x 

## Emissions (tons/year)

Bailly 18,611.50
Dean H. Mitchell 2,966.90
State Line 7,866.40 Total 29,444.80

NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2002 Facility NO
x 

## Emissions (tons/year)

Bailly 16,380.00

Dean H. Mitchell 50.40
State Line 7,140.70 Whiting Clean Energy 74.30 Total 23,645.40

NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2003 Facility NO
x 

## Emissions (tons/year)

Bailly 13,332.90
State Line 8,369.70 Whiting Clean Energy 24.30 Total 21,726.90

## D-4 NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2004 Facility NO
x 

## Emissions (tons/year)

Bailly 13,900.70

State Line 8,347.90 Whiting Clean Energy 41.00
Total 22,289.60

NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2005 Facility NO
x 

## Emissions (tons/year)

Bailly 12,329.30
State Line 6,847.90 Whiting Clean Energy 51.00
Total 19,228.20

NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2006 Facility NO
x 

## Emissions (tons/year)

Bailly 10,354.00
State Line 7,288.10 Whiting Clean Energy 46.80 Total 17,688.90

NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2007 Facility NO
x 

## Emissions (tons/year)

Bailly 10,118.30
State Line 8,205.40 Whiting Clean Energy 66.60 Total 18,390.30

NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2008 Facility NO
x 

## Emissions (tons/year)

Bailly 9,741.60
State Line 9,101.60 Whiting Clean Energy 73.10 Total 18,916.30

## D-5 NOx Emissions from EGUs, Lake and Porter Counties, Indiana 2009 Facility NO
x 

## Emissions (tons/year)

Bailly 2,459.30
State Line 5,990.90 Whiting Clean Energy 80.00 Total 8,530.20

## D-6 

# This page left intentionally blank.

## D-7 Indiana Statewide SO 2 

## Emissions from EGUs, 1999 to 2009

Indiana Statewide SO 2 

## Emissions from EGUs, 1999 to 2009 Year Total SO 2 

## Emissions (tons/year) 1999 941,852.40 2000 874,617.20 2001 795,505.60 2002 778,868.00 2003 804,828.60 2004 862,876.40 2005 870,811.80 2006 820,993.40 2007 714,529.20 2008 593,154.00 2009 413,726.40 Budget 2009-2014 254,599.0 Budget 2015 and later 178,219.0

0 100,000 200,000 300,000 400,000 500,000 600,000 700,000 800,000 900,000 1,000,000

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009TonsperYear



### Sulfur Dioxide Year

## D-8 SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana, 1999 to 2009

SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana, 1999 to 2009 Year Total SO 2 

## Emissions (tons/year) 1999 19,728.30 2000 20,502.80 2001 20,733.50 2002 13,789.50 2003 12,556.20 2004 13,312.20 2005 12,672.40 2006 10,659.60 2007 13,651.20 2008 20,331.00 2009 14,684.70

0 3,000 6,000 9,000 12,000 15,000 18,000 21,000 24,000 27,000 30,000

1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009TonsperYear



### Sulfur Dioxide Year

## D-9 SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 1999 Facility SO 2 

## Emissions, tons / year

Bailly 3,813.30
Dean H. Mitchell 8,830.00
State Line 7,085.00 Total 19,728.30

SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2000 Facility SO 2 

## Emissions, tons / year

Bailly 5,144.80
Dean H. Mitchell 6,364.00
State Line 8,994.00 Total 20,502.80

SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2001 Facility SO 2 

## Emissions, tons / year

Bailly 6,076.20
Dean H. Mitchell 6,797.20
State Line 7,860.10 Total 20,733.50

SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2002 Facility SO 2 

## Emissions, tons / year

Bailly 5,217.60

Dean H. Mitchell 127.30
State Line 8,442.90 Whiting Clean Energy 1.70 Total 13,789.50

SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2003 Facility SO 2 

## Emissions, tons / year

Bailly 4,544.00
State Line 8,011.00 Whiting Clean Energy 1.20 Total 12,556.20

## D-10 SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2004 Facility SO 2 

## Emissions, tons / year

Bailly 3,608.70

State Line 9,701.50 Whiting Clean Energy 2.00
Total 13,312.20

SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2005 Facility SO 2 

## Emissions, tons / year

Bailly 4,720.20
State Line 7,949.40 Whiting Clean Energy 2.80
Total 12,672.40

SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2006 Facility SO 2 

## Emissions, tons / year

Bailly 3,308.70
State Line 7,348.00 Whiting Clean Energy 2.90 Total 10,659.60

SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2007 Facility SO 2 

## Emissions, tons / year

Bailly 4,313.60
State Line 9,333.20 Whiting Clean Energy 4.40 Total 13,651.20

SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2008 Facility SO 2 

## Emissions, tons / year

Bailly 8,700.90
State Line 11,625.00 Whiting Clean Energy 5.10 Total 20,331.00

## D-11 SO 2 

## Emissions from EGUs, Lake and Porter Counties, Indiana 2009 Facility SO 2 

## Emissions, tons / year

Bailly 4,903.40
State Line 9,776.00 Whiting Clean Energy 5.30 Total 14,684.70

## This page left intentionally blank.

# APPENDIX E

2005 and 2008 Base Year Emission Inventories and 2015, 2020, and 2025 Projected Emission Inventories for Nitrogen Oxides (NO

x 

# ), Sulfur Dioxide (SO 2 

# ), and Direct Fine Particles (PM 2.5 

# ), Chicago Area

## E-1 

# This page left intentionally blank.

## E-2 Lake and Porter Counties, IN Totals (Tons per Year)

Year NO
x 

## SO 2 

## Direct PM 2.5 

## 2002 106,180.29 64,999.42 12,966.68 2005 66,426.65 49,876.77 7,152.31 2008 59,581.74 56,198.68 7,250.93 2015 41,795.31 56,235.30 7,057.65 2020 37,082.26 39,445.89 6,888.26 2025 35,013.79 36,787.24 6,762.10

2002-Lake and Porter Counties, IN Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 2,626.91 12,347.30 30,397.97 60,808.11 106,180.29
SO 2 

## 4,364.85 1,106.59 264.64 59,263.34 64,999.42
Direct PM 2.5 

## 4,404.91 685.43 562.64 7,313.70 12,966.68

2002-Lake and Porter Counties, IN Totals (Tons per Year)

COUNTY STATE SECTOR NO X 

## SO 2 

## Direct PM 2.5



## LAKE INDIANA AREA 2,010.98 3,318.89 2,322.39

LAKE INDIANA NONROAD 9,099.92 805.61 475.02

LAKE INDIANA POINT 35,255.39 35,957.52 5,025.35

PORTER INDIANA AREA 615.93 1,045.96 2,082.52

PORTER INDIANA NONROAD 3,247.38 300.98 210.41

PORTER INDIANA POINT 25,552.72 23,305.82 2,288.35

LAKE/PORTER INDIANA ONROAD 30,397.97 264.64 562.64

2005-Lake and Porter Counties, IN Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL

NO X 

## 2,236.89 8,145.64 14,095.55 41,948.57 66,426.65
SO 2 

## 697.87 892.93 146.44 48,139.53 49,876.77

Direct PM 2.5 

## 23.65 447.87 229.39 6,451.40 7,152.31

2005-Lake and Porter Counties, IN Totals (Tons per Year)

COUNTY STATE SECTOR NO X 

## SO 2 

## Direct PM 2.5



## LAKE INDIANA AREA 1,687.72 525.81 18.48

LAKE INDIANA NONROAD 4,957.96 551.71 271.08

LAKE INDIANA POINT 22,394.78 25,354.10 5,086.98

PORTER INDIANA AREA 549.17 172.06 5.17

PORTER INDIANA NONROAD 3,187.68 341.22 176.79

PORTER INDIANA POINT 19,553.79 22,785.43 1,364.42

LAKE/PORTER INDIANA ONROAD 14,095.55 146.44 229.39

## E-3 2008-Lake and Porter Counties, IN Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL

NO X 

## 2,264.46 6,667.71 10,703.81 39,945.76 59,581.74
SO 2 

## 703.25 476.33 103.08 54,916.02 56,198.68

Direct PM 2.5 

## 23.60 363.91 187.10 6,676.32 7,250.93

2008-Lake and Porter Counties, IN Totals (Tons per Year)
COUNTY STATE SECTOR NO X 

## SO 2 

## Direct PM 2.5



## LAKE INDIANA AREA 1,707.89 529.04 18.43

LAKE INDIANA NONROAD 4,061.76 286.08 220.14

LAKE INDIANA POINT 23,273.37 28,744.32 5,249.09

PORTER INDIANA AREA 556.57 174.21 5.17

PORTER INDIANA NONROAD 2,605.95 190.25 143.77

PORTER INDIANA POINT 16,672.39 26,171.70 1,427.23

LAKE/PORTER INDIANA ONROAD 10,703.81 103.08 187.10

2015-Lake and Porter Counties, IN Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL

NO X 

## 2,226.21 4,962.17 5,723.67 28,883.26 41,795.31
SO 2 

## 682.86 267.22 66.23 42,394.24 43,410.55

Direct PM 2.5 

## 22.70 248.01 136.61 6,650.33 7,057.65

2015-Lake and Porter Counties, IN Totals (Tons per Year)

COUNTY STATE SECTOR NO X 

## SO 2 

## Direct PM 2.5



## LAKE INDIANA AREA 1,678.82 513.12 17.70

LAKE INDIANA NONROAD 2,958.96 151.94 148.95

LAKE INDIANA POINT 20,585.05 25,544.26 5,214.61

PORTER INDIANA AREA 547.39 169.74 5.00

PORTER INDIANA NONROAD 2,003.21 115.28 99.06

PORTER INDIANA POINT 8,298.21 16,849.98 1,435.72

LAKE/PORTER INDIANA ONROAD 5,723.67 66.23 136.61

2020-Lake and Porter Counties, IN Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL

NO X 

## 2,187.09 4,057.84 3,004.68 27,832.65 37,082.26
SO 2 

## 664.67 215.27 72.76 38,493.19 39,445.89

Direct PM 2.5 

## 21.97 185.11 114.32 6,566.86 6,888.26

## E-4 2020-Lake and Porter Counties, IN Totals (Tons per Year)
COUNTY STATE SECTOR NO X 

## SO 2 

## Direct PM 2.5



## LAKE INDIANA AREA 1,649.30 499.19 17.12

LAKE INDIANA NONROAD 2,365.01 118.63 110.29

LAKE INDIANA POINT 20,498.81 25,099.75 5,141.47

PORTER INDIANA AREA 537.79 165.48 4.85

PORTER INDIANA NONROAD 1,692.83 96.64 74.82

PORTER INDIANA POINT 7,333.84 10,788.52 1,425.39

LAKE/PORTER INDIANA ONROAD 3,004.68 72.76 114.32

2025-Lake and Porter Counties, IN Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL

NO X 

## 2,148.80 3,349.95 2,534.95 26,980.09 35,013.79
SO 2 

## 647.07 175.39 76.51 35,888.27 36,787.24

Direct PM 2.5 

## 21.29 140.67 115.39 6,484.75 6,762.10

2025-Lake and Porter Counties, IN Totals (Tons per Year)

COUNTY STATE SECTOR NO X 

## SO 2 

## Direct PM 2.5



## LAKE INDIANA AREA 1,620.41 485.72 16.57

LAKE INDIANA NONROAD 1,910.65 93.83 83.22

LAKE INDIANA POINT 20,413.24 25,099.75 5,069.59

PORTER INDIANA AREA 528.39 161.35 4.72

PORTER INDIANA NONROAD 1,439.30 81.56 57.45

PORTER INDIANA POINT 6,566.85 10,788.52 1,415.16

LAKE/PORTER INDIANA ONROAD 2,534.95 76.51 115.39

Comparison of 2008 Estimated and 2025 Projected Emission Estimates, Lake and Porter Counties, Indiana (Tons per Year)

2008 2025 Change % Change
NO
x 

## 59,581.74 35,013.79 -24,567.95 41.23% decrease
SO 2 

## 56,198.68 36,787.24 -19,411.44 35.54% decrease
Direct PM 2.5 

## 7,250.93 6,762.10 -488.83 6.74% decrease

## E-5 Comparison of 2005 and 2008 Estimated and 2015, 2020, and 2025 Projected
NO
x 

## Emissions, Lake and Porter Counties, Indiana

Comparison of 2005 and 2008 Estimated and 2015, 2020, and 2025 Projected
SO 2 

## Emissions, Lake and Porter Counties, Indiana 0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000

2005 2008 2015 2020 2025TonsperYear



### Nitrogen Oxides Year

0 10,000 20,000 30,000 40,000 50,000 60,000 70,000 80,000

2005 2008 2015 2020 2025TonsperYear



### Sulfur Dioxide Year

## E-6 Comparison of 2005 and 2008 Estimated and 2015, 2020, and 2025 Projected
Direct PM 2.5 

## Emissions, Lake and Porter Counties, Indiana

Comparison of 2005 and 2008 Estimated and 2015, 2020, and 2025 Projected NO
x 

## , SO 2 

## , and Direct PM 2.5 

## Emissions, Lake and Porter Counties, Indiana 0 1,000 2,000 3,000 4,000 5,000 6,000 7,000 8,000 9,000 10,000

2005 2008 2015 2020 2025TonsperYear



### Direct Fine Particles Year

0 10,000 20,000 30,000 40,000 50,000 60,000 70,000

2005 2008 2015 2020 2025TonsperYear



### Nitrogen Oxides Sulfur Dioxide Direct Fine Particles

## E-7 

# This page left intentionally blank.

## E-8 Chicago Area Totals (Tons per Year)

Year NO
x 

## SO 2 

## Direct PM 2.5 

## 2002 447,601.29 197,480.42 32,069.68 2005 346,671.15 164,171.77 25,962.31 2008 278,649.74 152,367.68 25,767.93 2015 187,557.31 107,285.55 25,128.65 2020 156,231.26 98,829.89 24,729.26 2025 149,198.79 99,453.24 25,074.10

2002-Chicago Area Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 34,951.91 99,773.30 198,017.97 114,858.11 447,601.29
SO 2 

## 7,654.85 4,849.59 4,114.64 180,861.34 197,480.42
Direct PM 2.5 

## 12,845.91 5,519.43 3,633.64 10,070.70 32,069.68

2005-Chicago Area Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 34,558.39 77,450.64 147,719.05 86,943.07 346,671.15
SO 2 

## 4,367.37 3,153.93 2,358.94 154,291.53 164,171.77
Direct PM 2.5 

## 8,838.65 4,691.37 2,672.89 9,759.40 25,962.31

2008-Chicago Area Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 34,582.46 57,851.71 110,330.81 75,884.76 278,649.74
SO 2 

## 4,812.25 1,255.33 678.08 145,622.02 152,367.68
Direct PM 2.5 

## 9,212.60 4,016.91 2,003.10 10,535.32 25,767.93

2015-Chicago Area Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 35,223.21 40,899.17 55,469.67 55,965.26 187,557.31
SO 2 

## 4,948.86 1,133.22 717.23 100,486.24 107,285.55
Direct PM 2.5 

## 9,698.70 3,243.01 1,367.61 10,819.33 25,128.65

2020-Chicago Area Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 35,464.09 32,328.84 32,106.68 56,331.65 156,231.26
SO 2 

## 4,996.67 1,134.27 753.76 91,945.19 98,829.89
Direct PM 2.5 

## 10,030.97 2,583.11 1,157.32 10,957.86 24,729.26

## E-9 2025-Chicago Area Totals (Tons per Year)
AREA NONROAD ONROAD POINT GRAND TOTAL
NO X 

## 35,835.80 30,522.95 26,221.95 56,618.09 149,198.79
SO 2 

## 5,054.07 1,390.39 810.51 92,198.27 99,453.24
Direct PM 2.5 

## 10,398.29 2,407.67 1,179.39 11,088.75 25,074.10

Comparison of 2008 Estimated and 2025 Projected NO
x 

## , SO 2 

## , and Direct PM 2.5 

## Emissions, Entire Chicago Area (Tons per Year)

2008 2025 Change % Change
NO
x 

## 278,649.74 149,198.79 -129,450.95 46.46% decrease
SO 2 

## 152,367.68 99,453.24 -52,914.44 34.73% decrease
Direct PM 2.5 

## 25,767.93 25,074.10 -693.83 2.69% decrease

Comparison of 2005 and 2008 Estimated and 2015, 2020, and 2025 Projected NO
x 

## Emissions, Entire Chicago Area

0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000

2005 2008 2015 2020 2025TonsperYear



### Nitrogen Oxides Year

## E-10 Comparison of 2005 and 2008 Estimated and 2015, 2020, and 2025 Projected SO 2 

## Emissions, Entire Chicago Area

Comparison of 2005 and 2008 Estimated and 2015, 2020, and 2025 Projected Direct
PM 2.5 

## Emissions, Entire Chicago Area 0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 160,000 180,000 200,000

2005 2008 2015 2020 2025TonsperYear



### Sulfur Dioxide Year

0 5,000 10,000 15,000 20,000 25,000 30,000 35,000 40,000

2005 2008 2015 2020 2025TonsperYear



### Direct Fine Particles Year

## E-11 Comparison of 2005 and 2008 Estimated and 2015, 2020, and 2025 Projected NOx,
SO 2 

## , and Direct PM 2.5 

## Emissions, Entire Chicago Area

0 50,000 100,000 150,000 200,000 250,000 300,000 350,000 400,000

2005 2008 2015 2020 2025TonsperYear



### Nitrogen Oxides Sulfur Dioxide Direct Fine Particles Year

# APPENDIX F

Example Mobile Source Input and Output
Calculation Files for Lake and Porter Counties, Indiana

# This page left intentionally blank

## F-1 MOBILE6 INPUT FILE

POLLUTANTS : HC NOX

DATABASE OUTPUT :

WITH FIELDNAMES :
DATABASE EMISSIONS : 2222 2221

DATABASE FACILITIES: ARTERIAL FREEWAY LOCAL RAMP

RUN DATA

MIN/MAX TEMPERATURE: 60. 82.

FUEL RVP : 9.0

FUEL PROGRAM : 2 N

NO REFUELING :

EXPAND EXHAUST :

EXPAND EVAPORATIVE :

ANTI-TAMP PROG :
90 76 95 22222 21111111 1 12 095. 12111112 REG DIST : iregdata.d

* The following describes the I/M programs within Lake/Porter
Counties: * First I/M Program
I/M PROGRAM : 1 1997 2050 2 T/O IDLE
I/M MODEL YEARS : 1 1976 1980
I/M VEHICLES : 1 22222 21111111 1
I/M STRINGENCY : 1 20.0
I/M COMPLIANCE : 1 95.0
I/M WAIVER RATES : 1 3.0 3.0 * Second I/M Program (Cutpoints for LDGV, LDGT2, LDGT4 and HDGV2B)
I/M PROGRAM : 2 1997 2050 2 T/O IM240
I/M MODEL YEARS : 2 1981 1995
I/M VEHICLES : 2 21212 21111111 1
I/M STRINGENCY : 2 20.0
I/M COMPLIANCE : 2 95.0
I/M WAIVER RATES : 2 3.0 3.0
I/M CUTPOINTS : 2 IM2002A.d
I/M GRACE PERIOD : 2 4 * Third I/M Program (Cutpoints for LDGT1 and LDGT3)
I/M PROGRAM : 3 1997 2050 2 T/O IM240
I/M MODEL YEARS : 3 1981 1995
I/M VEHICLES : 3 12121 11111111 1
I/M STRINGENCY : 3 20.0
I/M COMPLIANCE : 3 95.0
I/M WAIVER RATES : 3 3.0 3.0
I/M CUTPOINTS : 3 IM2002B.d
I/M GRACE PERIOD : 3 4 * Fourth I/M Program
I/M PROGRAM : 4 1997 2050 2 T/O GC
I/M MODEL YEARS : 4 1976 1995
I/M VEHICLES : 4 22222 21111111 1 * Fifth I/M Program
I/M PROGRAM : 5 2002 2050 2 T/O OBD I/M

## F-2 I/M MODEL YEARS : 5 1996 2050
I/M VEHICLES : 5 22222 21111111 1
I/M STRINGENCY : 5 20.0
I/M COMPLIANCE : 5 95.0
I/M WAIVER RATES : 5 3.0 3.0
I/M GRACE PERIOD : 5 4 * Sixth I/M Program
I/M PROGRAM : 6 1997 2050 2 T/O EVAP OBD & GC
I/M MODEL YEARS : 6 1996 2050
I/M VEHICLES : 6 22222 11111111 1

SCENARIO RECORD

CALENDAR YEAR : 2010

EVALUATION MONTH : 7

VMT FRACTIONS :
0.364243579 0.091574782 0.304735387 0.093938666 0.035952411

0.033384381 0.003252837 0.002739231

0.002054423 0.007447285 0.008816901 0.009587310 0.034154790

0.001712020 0.000856010 0.005549987
VMT BY FACILITY : 2010nvmt.d

SPEED VMT : svmt10.d

END OF RUNF - 3MOBILE6 NITROGEN OXIDES (NOx) OUTPUT FILE FOR LAKE AND PORTER COUNTIESJanuaryVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.732 0.891 1.3461.002 2.898 0.498 0.719 8.845 2.28 1.544--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.141 0.172 0.23 0.186 0.019 0.02 0.6240.152305NOx Running: 0.591 0.72 1.116 0.816 0.479 0.7 1.6591.391394NOx Total Exhaust: 0.732 0.891 1.346 1.002 2.898 0.498 0.719 8.845 2.28 1.544FebruaryVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.713 0.865 1.3060.973 2.872 0.498 0.719 8.845 2.22 1.52--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.137 0.167 0.223 0.18 0.019 0.02 0.6090.147622NOx Running: 0.575 0.699 1.083 0.792 0.479 0.7 1.6131.37194NOx Total Exhaust: 0.713 0.865 1.306 0.973 2.872 0.498 0.719 8.845 2.22 1.52F-4MarchVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.664 0.801 1.2090.901 2.81 0.498 0.719 8.845 2.07 1.462--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.128 0.154 0.207 0.167 0.019 0.02 0.5720.137327NOx Running: 0.536 0.647 1.002 0.733 0.479 0.7 1.4971.324279NOx Total Exhaust: 0.664 0.801 1.209 0.901 2.81 0.498 0.719 8.845 2.07 1.462AprilVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.595 0.716 1.070.802 2.566 0.48 0.69 8.217 1.87 1.331--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.116 0.14 0.187 0.151 0.018 0.02 0.5180.124274NOx Running: 0.479 0.576 0.884 0.651 0.462 0.67 1.3541.206133NOx Total Exhaust: 0.595 0.716 1.07 0.802 2.566 0.48 0.69 8.217 1.87 1.331F-5MayVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.528 0.632 0.9450.709 2.518 0.48 0.69 8.217 1.66 1.254--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.103 0.123 0.164 0.133 0.018 0.02 0.4630.109804NOx Running: 0.425 0.509 0.781 0.575 0.462 0.67 1.1951.144293NOx Total Exhaust: 0.528 0.632 0.945 0.709 2.518 0.48 0.69 8.217 1.66 1.254JuneVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.484 0.569 0.850.637 2.486 0.48 0.69 8.217 1.44 1.199--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.091 0.109 0.145 0.117 0.018 0.02 0.4060.096734NOx Running: 0.394 0.46 0.705 0.52 0.462 0.67 1.0361.102322NOx Total Exhaust: 0.484 0.569 0.85 0.637 2.486 0.48 0.69 8.217 1.44 1.199F-6JulyVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.465 0.54 0.8070.605 2.479 0.48 0.69 8.217 1.33 1.174--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.085 0.102 0.136 0.11 0.018 0.02 0.3750.09071NOx Running: 0.38 0.438 0.672 0.495 0.462 0.67 0.9521.083443NOx Total Exhaust: 0.465 0.54 0.807 0.605 2.479 0.48 0.69 8.217 1.33 1.174AugustVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.47 0.55 0.8220.616 2.481 0.48 0.69 8.217 1.38 1.182--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.087 0.104 0.139 0.113 0.018 0.02 0.3890.093088NOx Running: 0.383 0.445 0.683 0.503 0.462 0.67 0.9891.088994NOx Total Exhaust: 0.47 0.55 0.822 0.616 2.481 0.48 0.69 8.217 1.38 1.182F-7SeptemberVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.502 0.596 0.8910.668 2.495 0.48 0.69 8.217 1.55 1.222--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.096 0.115 0.154 0.125 0.018 0.02 0.4360.102913NOx Running: 0.405 0.48 0.737 0.543 0.462 0.67 1.1181.11911NOx Total Exhaust: 0.502 0.596 0.891 0.668 2.495 0.48 0.69 8.217 1.55 1.222OctoberVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.517 0.606 0.9340.686 2.393 0.424 0.61 7.606 1.79 1.191--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.1 0.118 0.162 0.129 0.016 0.017 0.5010.106817NOx Running: 0.418 0.488 0.772 0.558 0.408 0.593 1.2931.084536NOx Total Exhaust: 0.517 0.606 0.934 0.686 2.393 0.424 0.61 7.606 1.79 1.191F-8NovemberVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.58 0.683 1.0530.774 2.468 0.424 0.61 7.606 2.02 1.263--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.112 0.133 0.183 0.145 0.016 0.017 0.5590.119892NOx Running: 0.468 0.55 0.87 0.628 0.408 0.593 1.461.142646NOx Total Exhaust: 0.58 0.683 1.053 0.774 2.468 0.424 0.61 7.606 2.02 1.263DecemberVehicle Type: LDGV LDGT12 LDGT34 LDGTHDGV LDDV LDDT HDDV MC All VehGVWR: <6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution: 0.3639 0.3963 0.1280.52430.0306 0.0003 0.0019 0.0734 0.0055 1--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Fac tors (g/mi ):Composite NOX : 0.634 0.751 1.1580.85 2.531 0.424 0.61 7.606 2.21 1.326--------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Exhaust emissions (g/mi ):NOx Start: 0.122 0.146 0.201 0.16 0.016 0.017 0.6070.131659NOx Running: 0.511 0.604 0.956 0.69 0.408 0.593 1.6021.193509NOx Total Exhaust: 0.634 0.751 1.158 0.85 2.531 0.424 0.61 7.606 2.21 1.326F-9MOBILE6 FINE PARTICULATE MATTER (PM2.5) OUTPUT FILE FOR LAKE AND PORTER COUNTIESJanuaryVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0038 0.0037 0.0038 0.0037 0.0347 ------ ------------ 0.0142 0.0044ECARBON:------ ------------ ------------ 0.0401 0.01780.1078 ------ 0.008OCARBON:------ ------------ ------------ 0.0113 0.02570.0547 ------ 0.0041SO4:0.0002 0.0004 0.0004 0.0004 0.00160.0002 0.0003 0.0009 0.0001 0.0004Total Exhaust PM:0.004 0.0041 0.0042 0.0041 0.03640.0516 0.0438 0.1634 0.0143 0.0169Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0115 0.0115 0.04390.059 0.0511 0.1752 0.0206 0.0246SO2:0.0068 0.0088 0.0115 0.0095 0.01660.0029 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1016 0.1013 0.1016 0.04510.0068 0.0068 0.027 0.0113 0.0937FebruaryVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0038 0.0037 0.0038 0.0037 0.0347 ------ ------------ 0.0142 0.0044ECARBON:------ ------------ ------------ 0.0401 0.01780.1078 ------ 0.008F-10OCARBON:------ ------------ ------------ 0.0113 0.02570.0547 ------ 0.0041SO4:0.0002 0.0004 0.0004 0.0004 0.00160.0002 0.0003 0.0009 0.0001 0.0004Total Exhaust PM:0.004 0.0041 0.0042 0.0041 0.03640.0516 0.0438 0.1634 0.0143 0.0169Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0115 0.0115 0.04390.059 0.0511 0.1752 0.0206 0.0246SO2:0.0068 0.0088 0.0115 0.0095 0.01660.0029 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1016 0.1013 0.1016 0.04510.0068 0.0068 0.027 0.0113 0.0937MarchVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0038 0.0037 0.0038 0.0037 0.0347 ------ ------------ 0.0142 0.0044ECARBON:------ ------------ ------------ 0.0401 0.01780.1078 ------ 0.008OCARBON:------ ------------ ------------ 0.0113 0.02570.0547 ------ 0.0041SO4:0.0002 0.0004 0.0004 0.0004 0.00160.0002 0.0003 0.0009 0.0001 0.0004Total Exhaust PM:0.004 0.0041 0.0042 0.0041 0.03640.0516 0.0438 0.1634 0.0143 0.0169Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0115 0.0115 0.04390.059 0.0511 0.1752 0.0206 0.0246SO2:0.0068 0.0088 0.0115 0.0095 0.01660.0029 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1016 0.1013 0.1016 0.04510.0068 0.0068 0.027 0.0113 0.0937F-11AprilVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0037 0.0036 0.0037 0.0037 0.0326 ------ ------------ 0.0142 0.0044ECARBON:------ ------------ ------------ 0.0385 0.01690.1006 ------ 0.0074OCARBON:------ ------------ ------------ 0.0109 0.02430.0511 ------ 0.0038SO4:0.0002 0.0004 0.0004 0.0004 0.00170.0002 0.0003 0.0009 0.0001 0.0004Total Exhaust PM:0.004 0.0041 0.0042 0.0041 0.03430.0496 0.0415 0.1526 0.0143 0.016Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0115 0.0114 0.04180.0569 0.0488 0.1644 0.0206 0.0237SO2:0.0068 0.0088 0.0115 0.0095 0.01660.0029 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1016 0.1013 0.1016 0.04510.0068 0.0068 0.027 0.0113 0.0937MayVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0037 0.0036 0.0037 0.0037 0.0326 ------ ------------ 0.0142 0.0044ECARBON:------ ------------ ------------ 0.0385 0.01690.1006 ------ 0.0074OCARBON:------ ------------ ------------ 0.0109 0.02430.0511 ------ 0.0038SO4:0.0002 0.0004 0.0004 0.0004 0.00170.0002 0.0003 0.0009 0.0001 0.0004F-12Total Exhaust PM:0.004 0.0041 0.0042 0.0041 0.03430.0496 0.0415 0.1526 0.0143 0.016Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0115 0.0114 0.04180.0569 0.0488 0.1644 0.0206 0.0237SO2:0.0068 0.0088 0.0115 0.0095 0.01660.0029 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1016 0.1013 0.1016 0.04510.0068 0.0068 0.027 0.0113 0.0937JuneVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0037 0.0036 0.0037 0.0037 0.0326 ------ ------------ 0.0142 0.0044ECARBON:------ ------------ ------------ 0.0385 0.01690.1006 ------ 0.0074OCARBON:------ ------------ ------------ 0.0109 0.02430.0511 ------ 0.0038SO4:0.0002 0.0004 0.0004 0.0004 0.00170.0002 0.0003 0.0009 0.0001 0.0004Total Exhaust PM:0.004 0.0041 0.0042 0.0041 0.03430.0496 0.0415 0.1526 0.0143 0.016Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0115 0.0114 0.04180.0569 0.0488 0.1644 0.0206 0.0237SO2:0.0068 0.0088 0.0115 0.0095 0.01660.0029 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1016 0.1013 0.1016 0.04510.0068 0.0068 0.027 0.0113 0.0937F-13JulyVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0037 0.0036 0.0037 0.0037 0.0326 ------ ------------ 0.0142 0.0044ECARBON:------ ------------ ------------ 0.0385 0.01690.1006 ------ 0.0074OCARBON:------ ------------ ------------ 0.0109 0.02430.0511 ------ 0.0038SO4:0.0002 0.0004 0.0004 0.0004 0.00170.0002 0.0003 0.0009 0.0001 0.0004Total Exhaust PM:0.004 0.0041 0.0042 0.0041 0.03430.0496 0.0415 0.1526 0.0143 0.016Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0115 0.0114 0.04180.0569 0.0488 0.1644 0.0206 0.0237SO2:0.0068 0.0088 0.0115 0.0095 0.01660.0029 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1016 0.1013 0.1016 0.04510.0068 0.0068 0.027 0.0113 0.0937AugustVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0037 0.0036 0.0037 0.0037 0.0326 ------ ------------ 0.0142 0.0044ECARBON:------ ------------ ------------ 0.0385 0.01690.1006 ------ 0.0074OCARBON:------ ------------ ------------ 0.0109 0.02430.0511 ------ 0.0038SO4:0.0002 0.0004 0.0004 0.0004 0.00170.0002 0.0003 0.0009 0.0001 0.0004F-14Total Exhaust PM:0.004 0.0041 0.0042 0.0041 0.03430.0496 0.0415 0.1526 0.0143 0.016Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0115 0.0114 0.04180.0569 0.0488 0.1644 0.0206 0.0237SO2:0.0068 0.0088 0.0115 0.0095 0.01660.0029 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1016 0.1013 0.1016 0.04510.0068 0.0068 0.027 0.0113 0.0937SeptemberVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0037 0.0036 0.0037 0.0037 0.0326 ------ ------------ 0.0142 0.0044ECARBON:------ ------------ ------------ 0.0385 0.01690.1006 ------ 0.0074OCARBON:------ ------------ ------------ 0.0109 0.02430.0511 ------ 0.0038SO4:0.0002 0.0004 0.0004 0.0004 0.00170.0002 0.0003 0.0009 0.0001 0.0004Total Exhaust PM:0.004 0.0041 0.0042 0.0041 0.03430.0496 0.0415 0.1526 0.0143 0.016Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0115 0.0114 0.04180.0569 0.0488 0.1644 0.0206 0.0237SO2:0.0068 0.0088 0.0115 0.0095 0.01660.0029 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1016 0.1013 0.1016 0.04510.0068 0.0068 0.027 0.0113 0.0937F-15OctoberVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0037 0.0036 0.0036 0.0036 0.029 ------ ------------ 0.0142 0.0042ECARBON:------ ------------ ------------ 0.0334 0.01460.0936 ------ 0.0069OCARBON:------ ------------ ------------ 0.0094 0.0210.0475 ------ 0.0035SO4:0.0002 0.0004 0.0004 0.0004 0.00170.0002 0.0003 0.0009 0.0001 0.0004Total Exhaust PM:0.004 0.004 0.0041 0.0041 0.03070.043 0.036 0.1421 0.0143 0.0151Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0114 0.0114 0.03820.0503 0.0433 0.1539 0.0206 0.0228SO2:0.0068 0.0088 0.0115 0.0095 0.01660.003 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1017 0.1017 0.1017 0.04510.0068 0.0068 0.027 0.0113 0.0938NovemberVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0037 0.0036 0.0036 0.0036 0.029 ------ ------------ 0.0142 0.0042ECARBON:------ ------------ ------------ 0.0334 0.01460.0936 ------ 0.0069OCARBON:------ ------------ ------------ 0.0094 0.0210.0475 ------ 0.0035SO4:0.0002 0.0004 0.0004 0.0004 0.00170.0002 0.0003 0.0009 0.0001 0.0004F-16Total Exhaust PM:0.004 0.004 0.0041 0.0041 0.03070.043 0.036 0.1421 0.0143 0.0151Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0114 0.0114 0.03820.0503 0.0433 0.1539 0.0206 0.0228SO2:0.0068 0.0088 0.0115 0.0095 0.01660.003 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1017 0.1017 0.1017 0.04510.0068 0.0068 0.027 0.0113 0.0938DecemberVehicle Type:LDGV LDGT12 LDGT34 LDGT HDGVLDDV LDDT HDDV MC All VehGVWR:<6000 >6000 (All)------ ------ ------ ------ ------ ------ ------ ------ ------ ------VMT Distribution:0.3639 0.3963 0.128 0.03060.0003 0.0019 0.0734 0.0055 1-------------------------------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- ---------- -------Composite Emission Factors (g/mi ):Lead:0 0 0 0 0 ------ ------ ------ 0 0GASPM:0.0037 0.0036 0.0036 0.0036 0.029 ------ ------------ 0.0142 0.0042ECARBON:------ ------------ ------------ 0.0334 0.01460.0936 ------ 0.0069OCARBON:------ ------------ ------------ 0.0094 0.0210.0475 ------ 0.0035SO4:0.0002 0.0004 0.0004 0.0004 0.00170.0002 0.0003 0.0009 0.0001 0.0004Total Exhaust PM:0.004 0.004 0.0041 0.0041 0.03070.043 0.036 0.1421 0.0143 0.0151Brake:0.0053 0.0053 0.0053 0.0053 0.00530.0053 0.0053 0.0053 0.0053 0.0053Tire:0.002 0.002 0.002 0.002 0.00220.002 0.002 0.0065 0.001 0.0023Total PM:0.0113 0.0114 0.0114 0.0114 0.03820.0503 0.0433 0.1539 0.0206 0.0228SO2:0.0068 0.0088 0.0115 0.0095 0.01660.003 0.0056 0.0132 0.0033 0.0089NH3:0.1017 0.1017 0.1017 0.1017 0.04510.0068 0.0068 0.027 0.0113 0.0938F-17MONTHLY VEHICLE MILES TRAVELLED FOR LAKE AND PORTER COUNTIESmonthiimvmtiemvmteimvmteemvmtMVMT1 257856354 53480480 49596650 119671310 480,604,7952 238912901 49551529 45953025 110879640 445,297,0963 271719599 56355775 52263137 126105251 506,443,7634 269394152 55873468 51815855 125026010 502,109,4845 281146606 58310975 54076348 130480331 524,014,2606 281736912 58433407 54189888 130754293 525,114,5007 285582844 59231070 54929623 132539193 532,282,7308 286691904 59461093 55142942 133053908 534,349,8479 271004077 56207373 52125512 125773177 505,110,13810 277264897 57505893 53329732 128678828 516,779,35011 266710943 55316959 51299761 123780731 497,108,39412 277264897 57505893 53329732 128678828 516,779,350

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# APPENDIX G

Indiana Department of Environmental Management (IDEM) – Area Source Inventory Standard Operating Procedure

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## Area Source Inventory
S-006-OAQ-R-MO-08-S-R1 

# Standard Operating Procedure

Office: Office of Air Quality
Branch: Air Programs Branch Section: Technical Support and Modeling Section

Revised: 02/27/2008 Revision Cycle: 2 years Effective date: 02/15/07

Scope of operations This SOP is to identify source categories and develop emissions not calculated in point source inventories. This data is compiled ev ery three years as mandated by EPA.

Scope of applicability This SOP is for the Senior Environmental Manager and the Environmental Manager in the Emissions Group.



## Authorized Signatures I approve and authorize this Standard Operating Procedure:Area Source Inventory S-006-OAQ-R-MO-08-S-R1



## Table of Contents Scope of operations ....................................................................................................................................1 Scope of applicability .................................................................................................................................1 Authorized Signatures

............................................................................................................................... .1 1. Overview work flow chart .......................................................................................................................3 2. Definitions ................................................................................................................................................3 3. Roles .........................................................................................................................................................4 Responsibilities: .........................................................................................................................................4 4. Description of equipment, forms, and/or software to be used ...........................................................4 5. Procedure ................................................................................................................................................4 5.1 Procedural Flowchart ....................................................................................................................4 5.2 Procedure .......................................................................................................................................5 6. Standards and checklists .....................................................................................................................24 7. Records Management ...........................................................................................................................24 8. Quality Assurance / Quality Control ...................................................................................................25 9. Continuous Improvement Cycle ..........................................................................................................25 10. References

............................................................................................................................... ............25 11. History of Revisions ...........................................................................................................................25 12. Appendices

............................................................................................................................... ...........25

2Area Source Inventory S-006-OAQ-R-MO-08-S-R1



## 1. Overview work flow chart The process described is not part of a larger syst em and does not need an Overview work flow chart.



## 2. Definitions

AP-42 – Compilation of Air Pollutant Emission Factors AP- 42, Fifth Edition, Volume I: Stationary Point and Area Sources (January 1995) plus Supplements A – F (Updates 2001 – 2004). AP-42 can be
obtained at www.epa.gov/ttn/chief/ap42/

.

Area Sources

- A collection of similar emission units within a geographic area that collectively represent
individual sources that are small and numerous and ha ve not been inventoried as a specific point, mobile, or biogenic source.

Authorized - Established by official authority and usage; as with a policy, standard operating procedure (SOP), or quality assurance project pl an (QAPP) that is signed and dated.

EIIP (Emission Inventory Improvement Program) - The EIIP is an EPA program established in 1993 to promote the development and use of standard procedures for collecting, calculati ng, storing, reporting, and sharing air emissions date.

Emission Factors - An emission factor is the estimate of the quantity of pollutant released to the atmosphere (because of some operation or activity such as combustion or industrial production) divided by the level of that activity.

Process

- The term “process” used when describing area sources is used to name an operation or activity that produces emissions.

NEI - National Emission Inventory Air Pollutant Emission Trends, U.S. EPA.

Standard Industrial Classification (SIC) Code

- A Standard Industrial Classification code from the series of codes devised by the United States O ffice of Management and Budget (OMB) to classify establishments according to the type of economic activity in which they engage.

Source Classification Code (SCC)

- Source Classification Code is a process-level code that describes the equipment or operation emitting pollutants.

3Area Source Inventory S-006-OAQ-R-MO-08-S-R1



## 3. Roles

Title # of Staff Experience Qualifications Location

Senior Environmental Manager 1 N/A MS ACCESS, Emission Inventories and familiarity
with the EIIP Air Programs
Branch

Environmental Manager 1 N/A MS ACCESS, Emission Inventories and familiarity
with the EIIP Air Programs
Branch



### Responsibilities:

Senior Environmental Manager Oversees work of the Environmental Manager and ensures that all goals are met. The Senior Environmental Manager also does the final upload to the NEI.

Environmental Manager The Environmental Manager calculates the Area Source Emissions using the EIIP or other EPA guidance as provided. The Environmental Manager is also responsible for updating the SOP for the Emissions Group.



## 4. Description of equipment, forms, and/or software to be used

Equipment, Form, &/or Software Who uses it? Location

AP42 Senior Environmental Manager and Environmental Manager EPA’s website: http://www.epa.gov/ttn/chief/ap42/index.
html

Emission Inventory Improvement Program (EIIP) Senior Environmental Manager and Environmental Manager EPA’s website: http://www.epa.gov/ttn/chief/eiip/techrep ort/

National Emission Inventory (NEI) Air Pollutant Emission Trends, U.S. EPA Senior Environmental Manager and Environmental Manager EPA’s website http://www.epa.gov/ttn/chief/trends/



## 5. Procedure

5.1 Procedural Flowchart The procedural flowchart below titled “Area Source Inventory” is us ed to calculate non-point source inventories. This data is compiled every three years as mandated by EPA. The guidance followed is located in the EIIP. Emissions from area source s are calculated at the county level and consist of individual sources that are small, numerous and that have not been inventoried as specific point, mobile, or biogenic sources according to the EIIP.

YES

NO Identify Categories Is the categor y an Area
Source?

Then calculate emissions using the SOP for Receiving Emission Statements or the SOP

for On-Road Mobile Source Inventory Calculate Area Source categories using the
EIIP or other EPA guidance as provided Enter data into
NEI



### 4Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### 5.2 Procedure 

## Category 1: Stationary Fuel Combustion

Sub-Category 1.1: Industrial Fuel Combustion

SCC: 2102002000, 210200400, 2102005000, 2102006000, 2102007000

Follow these steps when calculating emissions from industrial fuel combustion:

1. Obtain statewide fuel consumption for “Other Indu strial” for the following f uels: coal, distillate oil, natural gas, and liquefied petroleum gas (LPG). Us e the Energy Information Administration’s website

at http://www.eia.doe.gov/ to find fuel consumption.

Note: As of the date of this SOP, the followin g steps will lead to data for fuel consumption.

a. Go to http://www.eia.doe.gov/ b. Click on link for the various types of fuel consumption c. Click on consumption tab for state totals

2. To avoid double calculating the various fuel comb ustions, subtract reported source totals from the total statewide fuel consumption by querying the to tal process rates for the various SCC codes using the ACCESS data tables at K:\OAQ_INV\Steptool\Stp tl_02.mdb. The remaining number is the area source fuel consumpt ion for the state.

3. To distribute the remaining fuel to the county leve l, calculate the ratio of county to state employment for the manufacturing sector by dividing the numbe r of Manufacturing Employees for each county by the number of manufacturing employees statewide. Use the County Business Patterns website at http://www.census.gov/ to find the number of manufacturing employees for each county.

Note: As of the date of this SOP, the followin g steps will lead to data for Economic Census.

a. Go to http://www.census.gov/ b. Click on Economic Census c. Under 2002 Reports by State, use the down arrow key to select Indiana d. Now, select each of the counties to find the county manufacturing employees e. Use the total of employees for manuf acturing under the paid employees’ column

4. Multiply the ratio calculated above in step 3 by t he area source fuel consumpt ion to distribute the fuel to the county level. The remaining number is the pr ocess rate for each county. Multiply the process rate by the appropriate EPA emission factors for t he various fuels for industrial manufacturing found in AP-42, Fifth Edition, Volume 1, Chap ter 1, External Combustion Sources at http://www.epa.gov/ttn/chief/ap42/ch01/

.

Sub-Category 1.2: Commercial/ Institutional Fuel Combustion

SCC: 2103004000, 2103005000, 2103006000, 2103007000

Follow these steps when calculating emissions fr om commercial/institutional fuel combustion:

1. Obtain statewide fuel consumption for “Commercial” for the following fuels: distillate fuel oil, liquefied petroleum gas (LPG), natural gas, and residual fuel oil. Use the Energy Information Administration’s
website at http://www.eia.doe.gov/ to find fuel consumption.

Note: Use the steps in sub-category 1.1-1 to navigate through the Energy Information
Administration’s website.

5Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### 2. To avoid double calculating the various fuel comb ustions, subtract reported source totals from the total statewide fuel consumption by querying the to tal process rates for the various fuels using the SIC codes greater than 49 99 using the ACCESS data tables at K :\OAQ_INV\Steptool\Stptl_02.mdb. These are the SIC codes that identify all t he commercial/institutional area sources.

3. To distribute the remaining fuel to the county leve l, calculate the ratio of county to state employment for the commercial/institutional sector by dividi ng the number of commercial/ institutional employees for each county by the number of commercial/instit utional employees statewide. Use the County
Business Patterns website at http://www.census.gov/ to find the number of commercial/institutional employees for each county.

Note: Use the steps in sub-category 1.1-3 to navi gate through the U.S. Census Bureau’s website.

4. Multiply the ratio calculated above in step 3 by t he area source fuel consumpt ion to distribute the fuel to the county level. The remaining number is the process rate for each county. Multiply the process rate by the appropriate EPA emission factors for t he various fuels for commercial/institutional found in AP-42, Fifth Edition, Volume 1, Chapter 1, External Combustion Sources at http://www.epa.gov/ttn/chief/ap42/ch01/

.

Sub-Category 1.3: Residential Fuel Combustion

SCC: 2104002000, 2104004000, 2104006000, 2104007000

Follow these steps when calculating emissions from residential fuel combustion:

1. Obtain statewide fuel consumpti on for “Residential” for the following fuels: coal, distillate oil, natural gas, and liquid petroleum gas. Use the Ener gy Information Administration’s website at http://www.eia.doe.gov/ to find fuel consumption.

Note: Use the steps in sub-category 1.1-1 to navigate through the Energy Information
Administration’s website.

2. To distribute residential fuel to the county level, calculate the ratio of county fuel usage to statewide fuel usage using the breakdown of fuels by house hold per county divided by the breakdown of fuels by household per state using the U.S. Census Bureau’s website at http://www.census.gov/

.
Note: As of the date of this SOP, the following steps will lead to data for breakdown of fuels by
household.

a. Go to http://www.census.gov/ b. On the left hand side click on “American Fact Finder” c. Using the drop down menu, click on Indiana d. Scroll to “Housing Characterist ics” and select “show more” e. On the left hand side, select “chan ge geography (state, county, place...)” f. Using the drop down menu, select county, state, and each county name to obtain housing

information

3. Multiply the ratio calculated abov e in step 3 by the area residential f uel use by state to distribute the fuel to the county level. The remaining number is the process rate for each county for the various fuels. Multiply the process rate by the approp riate EPA emission factors fo r the various fuels for residential found in AP-42, Fifth Edition, Volume 1, Chapter 1 External Combustion Sources at http://www.epa.gov/ttn/chief/ap42/ch01/

.

6Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### Sub-Category 1.4: Residential Heating Using Wood

SCC: 2104008001, 2104008002, 2104008003, 2104008004, 2104008010, 2104008030, 2104008050

Follow these steps when calculating emission s from residential heating using wood:

1. Obtain statewide wood consumption for “Residential” using the Energy Information Administration’s
website at http://www.eia.doe.gov/ . To convert the statewide wood consumption from cords of wood consumed to tons, multiply the total cords consumed by 1.25.

Note: As of the date of this SOP, the followin g steps will lead to data for wood consumption.

a. Go to http://www.eia.doe.gov/ b. Click on Households, Buildings & Industry c. Under Consumption Summaries, click on “Annual” d. Now, over to the right click on “State Energy” e. Using the drop down menu at the bottom, select “Indiana” f. Under “Consumption” click on the “Residential” document

2. Using the ratio estimates provided by EPA found in the “Documentation For The Final 2002 NONPOINT SECTOR (FEB 06 version) NATION AL EMISSIONS INVENTORY FOR CRITERIA AND HAZARDOUS AIR POLLUTANTS” at http://www.epa.gov/ttn/chief/net/ 2002inventory.html#documentaiton the number calculated above in step 1 is broken out into three categories (fireplac e without inserts, fireplaces with inserts and woodstoves).

3. To distribute to the county level for the three ca tegories above, calculate a ratio of county to state using the statewide total of households and the count y total of households that burn wood found at the U.S. Census Bureau website http://www.census.gov/ . The remaining number is the process rate for each county. Multiply the pr ocess rate by the appropriate EPA em ission factors fo r each of the categories using the EIIP, Volume 3, Ch apter 2, Residential Wood Combustion at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii02_apr2001.pdf

.

Note: Use the steps in sub-category 1.3-2 to navigate through the Energy Information
Administration’s website.



## Category 2: Industrial Processes

Sub-Category 2.1: Bakeries

SCC: 2302050000

Follow these steps when calculating emissions from bakeries:

1. Calculate a per capita consumption factor using the reported weight of yeast–raised product reported under the Bread, Cake, and Frozen Bakery Products from the Economic Census Bureau at http://www.census.gov/econ/census02/ and the U.S. population at the U.S. Census Bureau at http://census,gov/

.
Note: As of the date of this SOP, the following steps will lead to data for yeast-raised product.

a. Go to http://www.census.gov b. Under Business & Industry open “Economic Census” c. Now open “Subject Series” d. Under Manufacturing, open the table “Product Summary” e. Use the yeast – raised product under Commercial Bakeries (NAICS code 311812) and Frozen cakes, pies, and other pastries manufacturing (NAICS code 311813)

7Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### 2. Multiply the per capita consumption factor ca lculated above in step 1 by the Indiana population found at the U.S. Census Bureau at http://www.census.gov

. Note: As of the date of this SOP, the foll owing steps will lead to Indiana population data.

a. Go to http://www.census.gov b. Under Population Finder, use the drop down menu to select Indiana

3. To avoid double calculating the amount consumed for the state, subtract the reported process rate for both the straight-dough and sponge-dough by queryi ng the total process rates for the SCC 30203202 (straight-dough) and SCC 30203201 (sponge-do ugh) using the ACC ESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb.

4. Multiply the remaining process rate by the strai ght-dough emission factor of .5 lbs VOC/1,000 pounds baked found in the EIIP, Volume 3, Area Source Me thod Abstracts: Baked Goods at Commercial/Retail
Bakeries at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html

.
5. Calculate a per capita factor by dividing the I ndiana population found in step 2 by the remaining process rate. Now multiply the per capita factor by each of the county populations to calculate the VOC emissions for each county.

Note: As of the date of this SOP, the fo llowing steps will lead to county population data.

a. Go to http://www.census.gov b. Under Population Finder, use the drop down menu to select Indiana c. Under “View more results”, select the county table



## Category 3: Solvent Utilization

Sub-Category 3.1: Architectural Coatings

SCC: 2401001000

Follow these steps when calculating emissions from architectural coatings:

1. Calculate an emission factor for architectural coating area sources first by adding all the solventbased paints together and all the water based paint s together using the U.S. Census Bureau’s
website http://www.census.gov . Use Table 1 to select all solvent-based paints and Table 2 to select all water based paints.

Table 1 National Solvent Coating Sales Solvent Type 1,000 gallons Exterior Solvent Type XX Interior Solvent Type XX Architectural Lacquers XX

Architectural Coating N.S.K. XX
Total Solvents XX

Table 2 National Water Based Coating Sales Water Type 1,000 gallons Exterior Water Type XX Interior Water Type XX Total Water Type XX

8Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### Note: As of the date of this SOP, the followin g steps will lead to architectural coating data.

a. Go to http://www.census.gov b. Under Business & Industry, select more c. Now select Current Industrial Reports (CIR) d. Select CIRs by Subject e. Tab down to find the report “Paints and Allied Products”

2. Now multiply the total national number for solvent -based paints by the average solvent-based coating content number (3.87 lbs VOC/gallon) and the total national number for water-based paints by the average water-based coating content number (0. 74 lbs VOC/gal) found in the EIIP, Volume 3, Chapter 3: Architectural Surface Coating at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/archsfc.pdf

.

3. Add the total solvent-based coatings and the water-based paints together for a total national VOC
emission factor from architectural surface coatin g. Then divide this number by the total national population using the U.S. Census Bureau’s website http://www.census.gov

.

4. Multiply the number calculated abov e in step 3 by each of the county populations to calculate the total emissions per county.

Note: Use the steps in sub-category 2.1-5 to navigate through the Census Bureau’s website.

Sub-Category 3.2: Automobile Refinishing

SCC: 2401005000

Follow these steps when calculating emissions from automobile refinishing:

1. To avoid double calculating, first query the empl oyees from the reported sources using the SIC 7532- Body Repair and Paint Shops using the ACCESS data t ables at K:\OAQ_INV\Steptool\Stptl_02.mdb. Subtract this number from the coun ty employment for the same SIC using the U.S. Census Bureau’s
website http://www.census.gov

.

Note: As of the date of this SOP, the foll owing steps will lead to county employment data.

a. Go to http://www.census.gov b. Under Business & Industry, select more c. Now select the County Business Patterns report for county d. Select Indiana e. Select each of the counties to find the number of employees for the corresponding SIC or NAICS
code

2. Multiply the emission factor 3, 519 lbs VOC/employee found in the EIIP, Volume 3, Chapter 13 Auto Body Refinishing at http://www.epa.gov/ttn/chief/eiip /techreport/vol ume03/archsfc.pdf and the county employment found above in step 1 to calcul ate the VOC emissions for each county.

Sub-Category 3.3: Traffic Markings

SCC: 2401008000

Follow these steps when calculating for traffic markings:

1. First calculate the national emissions by finding t he amount of sales for traffic marking paints from the U.S. Census Bureau’s website http://www.census.gov and multiply 3.36 lb VOC/gallon the national average VOC content for water and solvent-based paint s from the EIIP, Volume 3, Chapter 14, Traffic Markings at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii14.pdf

.

9Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### Note: As of the date of this SOP, the foll owing steps will lead to traffic marking paints.

a. Go to http://www.census.gov b. Under Business & Industry, select more c. Now select Current Industrial Reports (CIR) d. Select CIRs by Subject e. Tab down to find the report “Paints and Allied Products” f. Use the quantity amount in 1000/gallons under “Tra ffic marking paints (all types: shelf goods and

highway department)

2. Allocate the national emissions calculated above in step 1 to the state level by dividing the amount of money spent in Indiana by the money spent nationally on highway maintenance using the category “Total Disbursements” at the Federal Highway Administration’s website http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/sf2.htm

.

3. Calculate the emission factor for Indiana by divi ding the state level emissions by the total number of roadway miles in Indiana, given by contacting the Program Development Division, Highway Statistics, Indiana Department of Transportation or the Office of Air Quality, Technical Support and Modeling Section’s mobile inventory preparer.

4. Multiply the emission factor by the total number of roadway miles in each county using the information supplied from above in step 3.

Sub-Category 3.4: Industrial Surface Coating (employment based emission factor)

SCC: 2401015000, 2401020000, 2401030000, 2401040000, 2401045000, 2401055000, 2401060000, 2401065000, 2401070000, 2401075000, 2401080000

Follow these steps when calculating for industrial surface coating using the employment based emission factor:

1. Calculate an employee based emission factor for t he following SIC’s in the table below running a query to find the point source employment for each of the SIC’s and the reported VOC emissions for each using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb.

SCC Description SIC’s

2401015000 Factory Finished Wood 2426-2429,243-245, 2492, 2499

2401020000 Wood Furniture 25

2401030000 Paper Coating 26

2401040000 Metal Cans * 341

2401045000 Metal Coils * 3479

2401055000 Machinery and Equipment 35

2401060000 Appliances * 363

2401065000 Electronic and Other Electrical 3612, 3357

2401070000 New Motor Vehicles ** 3711

2401075000 Other Transportation 37 (not 3711, 373)

2401080000 Marine Coatings 373



### 10Area Source Inventory S-006-OAQ-R-MO-08-S-R1

* Use the National default emission fact or because the reporting sources are low. ** Emissions reported in point source



### 2. Divide the reported VOC emission s for each of the SIC’s by the re ported employment for each SIC. Use this number for the emission factor.

3. Subtract the number of report ed employees found in step 1 from each of the SIC county totals using the U.S. Census Bureau’s website http://www.census.gov . Use the remaining number for the process rate for each of the counties.

Note: Use the steps in sub-category 3.2-1 to navigate through the County Business Patterns.

4. Multiply the process rates above f ound for each of the SIC’s in step 4 by the emission factors found in step 3 to allocate the emissions to each of the counties.

Sub-Category 3.5: Industrial Surface Coating (default emission factor)

SCC: 2401090000, 2401100000, 2401200000

Follow these steps when calculating emissions from i ndustrial surface coating using the default emission factor:

1. Calculate industrial surface coat ing emissions using the default emission fa ctor in the EIIP, Volume 3, Chapter 8, Industrial Surface Coating at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii08.pdf and multiply by the county populations found at the U.S. Census Bureau’s website http://www.census.gov

.
Note: Use the steps in 2.1-5 to navigate through U.S. Census Bureau’s website.

SCC’s Description Default Emission Factor

24-01-090-000 Miscellaneous Manuf acturing 0.600 lbs VOC/person

24-01-100-000 Industrial Maintena nce Coatings 0.800 lbs VOC/person

24-01-200-000 Other Special Pur pose Coatings 0.800 lbs VOC/person



### Sub-Category 3.6: Degreasing

SCC: 2415230000, 2415245000, 2415345000, 2415360000

Follow these steps when calculating emissions from degreasing activities:

1. Use the U.S. Census Bureau to find employment numbers for each of the counties for the categories
in Table 1 below at http://www.census.gov

.

Note: Use the steps in 2.1-5 to navigate through U.S. Census Bureau’s website.

Source Classification Codes and Industries Associated with Degreasing

SCC SIC Description

2415230000 36 Electronic and other electronic equipment

25 Furniture and fixtures

33 Primary metal industries

34 Fabricated metal products

35 Industrial machinery and equipment

37 Transportation equipment

38 Instruments and related products



### 11Area Source Inventory S-006-OAQ-R-MO-08-S-R1

39 Miscellaneous manufac turing industries

417 Bus Terminal and Service Facilities

423 Trucking terminal facilities

551 New and used car dealers

552 Used car dealers

554 Gasoline service stations

555 Boat dealers

556 Recreational vehicle dealers 2415245000

753 Automotive repair shops
25 Furniture and fixtures

33 Primary metal industries

34 Fabricated metal products

35 Industrial machinery and equipment

36 Electronic and other electronic equipment

37 Transportation equipment

38 Instruments and related products 2415345000

2415345000 cont. 39 Miscellaneous manufac turing industries

417 Bus Terminal and Service Facilities
423 Trucking terminal facilities
551 New and used car dealers
552 Used car dealers
554 Gasoline service stations

555 Boat dealers
556 Recreational vehicle dealers 2415360000

753 Automotive repair shops



### 2. Run a query to find reported employment numbers for each of the categories in the table above using the ACCESS data tables at K:\O AQ_INV\Steptool\Stptl_02.mdb.

3. Subtract the reported employment from the U.S Census Bureau’s numbers to find the process rates
for each of the counties.

4 Calculate the VOC emissions by mult iplying the default emission factor in the EIIP, Volume 3, Chapter 6, Solvent Cleaning at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii06fin.pdf and the process rate for each of the counties found in step 3.

Sub-Category 3.7: Dry Cleaners

SCC: 2420010370

Follow these steps when calculating emissions from dry cleaners:

1. Calculate an emission factor by finding the numbe r of employees state wide and county wide for SIC 7216(Laundry and Garment Services) at the U.S. Census Bureau’s website http://www.census.gov

.
Note: Use the steps in 2.1-5 to navigate through U.S. Census Bureau’s website

2. Take the sum of the employment from the coun ties, multiply by 2000, and divide by the statewide total found in step 1. Use this number for the emission factor.

3. Calculate the process rate by running a query to find the number of reported employees for SIC 7216 using the ACCESS data tables at K:\OAQ_INV\St eptool\Stptl_02.mdb and subtract this number from the county total.

4. Multiply the process rate for each of the counties above by the em ission factor to calculate for VOC
emissions.

12Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### Sub-Category 3.8: Graphic Arts

SCC: 2425000000

Follow these steps when calculating emissions from graphic arts activities:

1. Multiply the per capita factor found in the EIIP, Volume 3, Chapter 7, Graphic Arts at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii07.pdf by the state population from the Census Bureau http://www.census.gov to find the total emissions for the state.

Note: Use the steps in 2.1-2 to navigate th rough the U.S. Census Bureau’s website.

2. Develop an emission factor by subtracting point source emissions from the total emissions and dividing by the state pop ulation found in step 1.

3. Distribute to the counties by multiplying the emission factor by the population for each county.

Note: Use the steps in 2.1-5 to navigate th rough the U.S. Census Bureau’s website.

Sub-Category 3.9: Rubber and Plastics

SCC: 2430000000

Follow these steps when calculating emissions from rubber and plastics activities:

1. Run a query to find the total of reported emissi ons and number of reported employees for all SIC’s beginning with 30 using the ACCESS data tabl es at K:\OAQ_INV\Steptool\Stptl_02.mdb.

2. Calculate the emission factor by dividing the point source emissions by the reported employees.

3. Subtract the reported employment for SIC’s beginning with 30 from total employment for each of the
counties.

Note: Use step 3.2-1 to navigate through the County Business Patterns.

4. Multiply the remaining number from above with the emission factor calculated in step 2.

Sub-Category 3.10: Miscellaneous Industrial Adhesives

SCC: 2440020000

Follow these steps when calculating emissions from industrial adhesives activities:

1. Using the guidance in the Ai r Pollutant Emission Trends at http://www.epa.gov/ttn/chief/trends

, calculate an emission factor by finding the total National Emissions from Industrial Adhesives and divide by the National Manufacturing Employm ent from the U.S. Census Bureau’s website http://www.census.gov

.
Note: As of the date of this SOP, the following st eps will lead to emission trends data for industrial
adhesives.

a. Go to http://www.epa.gov/air /airtrends/aqtrnd03/ b. Select “Appendix A –Data Tables” c. Search for industrial adhesives

Note: As of the date of this SOP, the following steps will lead to National Manufacturing Employment.

a. Go to http://www.census.gov

13Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### b. Select Economic Census c. Now select “Businesses with paid employees” d. Use the manufacturing number under “paid employees”

2. To avoid double calculating, run a query collecting sources re porting adhesives using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb. Subtract the reported employment from the total amount of manufacturing employment. The remaining number is the process rate.

Sub-Category 3.11: Commercial/Consumer Solvents

SCC: 2460100000, 2460200000, 2460400000, 2460500000, 2460600000, 2460800000, 2460900000

Follow these steps when calculating emissions from commercial/consumer solvent usage:

1. Using the EIIP, Volume 3, Chapter 5, Consumer, and Commercial Solvent Use at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii05.pdf , multiply the per capita factors for each of SCC codes by the population for each county from the U.S. Census Bureau’s website http://www.census.gov

.
Note: Use the steps in 2.1-5 to navigate through the U.S. Census Bureau’s website.

Emission Factors for Commercial/Consumer Solvents

Source Classification Codes Product Category Per Capita Emission Factor (lb VOC/person)

2460100000 Personal Care Products 2.32

2460200000 Household Products 0.79

2460400000 Automotive Aftermarket Products 1.36

2460500000 Coatings and Related Products 0.95

2460600000 Adhesives and Sealants 0.57

2460800000 FIFRA-Regulated Products 1.78

2460900000 Miscellaneous Products 0.07



### Sub-Category 3.12: Asphalt Emulsions

SCC: 2461022000

Follow these steps when calculating emissions from asphalt emulsions:

1. To calculate the process rate, find the number of barrels of asphalt used for the state found at the State Energy Data website at http://www.eia.doe.gov/emeu/states/_seds_updates.html

.

2. Obtain the amount of roadway miles for the st ate and county from the Indiana Department of Transportation’s, Division of Roadway Management Section.

3. Divide the county roadway miles by the state roadw ay miles and multiply by the total asphalt usage for the state found above in step 1.

4. Multiply the process rate by the default emission factor in the E IIP, Volume 3, Chapter 17, Asphalt Paving http://www.epa.gov/ttn/chief/eiip/te chreport/volume03/ iii17_apr2001.pdf

.

14Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### Sub-Category 3.13: Pesticide Usage

SCC: 2461800000

Follow these steps when calculating emissions from pesticide usage:

1. Calculate pesticide usage by using a state spec ific emission factor. Develop the factor using a methodology that includes the retrieval of informat ion of pesticides used, an emission factor for each pesticide used, a calculation about the inert ingredien ts in each pesticide, and an estimate of the amount of crop oil concentrate (an adjuvant used for the application of herbicides) used in the state of
Indiana.

2. Find the amount of active ingredients for herbicides and insecticides applied to Indiana fields at the Indiana Agricultural Statistics Service at http://www.usda.gov/nass/pubs/agr02/acro02.htm

.

3. Insert the numbers for both corn and soybeans to the Excel pesticide table found at K:OAQ_INV\Inv\pesticide.

4. Calculate the emission factor by adding the emis sions from crop oil concentrates obtained in the pesticide Excel table, pesticides, and solvent carrie rs and then divide by the total number of acres of corn and soybeans in Indiana found at the National Agricultural Statistics Services, United States Department of Agriculture http://www.nass.usda.gov/QuickStats/

.

5. Multiply the emission factor by the county-specific acreage for both corn and soybeans found at the National Agricultural Statistics Services, United States Department of Agriculture http://www.nass.usda.gov/QuickStats/

.


## Category 4: Petroleum Marketing

Follow these steps when calculating emissions for bulk terminals:

Sub-Category 4.1: Bulk Terminals

SCC: 2501050120

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

.

2. Find the amount of gasoline sold statewide and by county using, the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

.

3. Run a query to find the amount of point source reported gasoline using t he ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb and subtract from the amount sold statewide. Use this to allocate to each county.

4. Allocate the amount gasoline sold to each of the counties by dividing the amount of sales in each county by statewide sales and mult iplying by the number of gallons sold statewide found above in step 1.

5. EPA guidance suggests that only 25% of all gas oline consumed goes through bulk plants. To calculate process rate, multiply each county by 25% to estimate the amount of fuel transferred through bulk terminals.

6. Multiply process rate by the emission factors in the table below:

15Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### Emission Factors

Source Emission Factor (lb VOC/1000) gal

Storage Tanks Breathing Loss 5.0

Storage Tank Working Loss - Filling 9.6

Storage Tank Working Loss - Emptying 3.8

Gasoline Loading Racks (Vapor balance controlled) 11.9 (0.3)

Total 30.3

7. Bulk terminals also have controls set forth in the Indiana rule (326 IAC 8-4). This rule says that any source of this type that is new after January 1, 1980 is required to make sure that any transfer
between a tank and transport uses a submer ged pipe vapor balance system. Using EPA’s default rule effectiveness, multiply the number in step 2 by the Control Efficiency (CE) 38%, a Rule Effectiveness (RE) of 80%, and a Rule Penetration (RP) of 13%, i.e. process rate X emission factor X (1-(CE x RE x RP)) X 1 ton/2000 lb = VOC tons.

Sub-Category 4.2: Portable Fuel Containers

SCC: 2501011011, 2501011012, 2501011016, 2501012011, 2501012012, 2501012016

Follow these steps when calculating emi ssions for portable fuel containers:

1. Calculate the emissions for Commercial and Residential gas cans by using the method developed by the California Environmental Protection Agency’s docu ment Public Meeting to Consider Approval of California’s Portable Gasoline-Cont ainer Emissions Inventory. Use the excel spreadsheet found at K:\OAQ_INV\Inv\Area Source\Gasoline.zip to calcul ate the emissions for permeation, diurnal, and transport

. Both the Spillage and Vapor losses are esti mated in the nonroad emissions inventory by
EPA models.

2. Using the survey results below in Table 1, esti mate the number of fuel containers in the state for residential categories. The calculations are set up in an excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gasoline.zip\250101\GasCan s.xls, insert the number of oc cupied housing, from the U.S. Census Bureau’s website at http://www.census.gov/ , in the space marked “households”.

Note: As of the data of this SOP, the following steps will lead to number of households in Indiana.

a. Go to http://www.census.gov/ b. On the left hand side select American Fact finder c. Now select housing d. Under “Occupancy Status”, select occupies housing units e. Now use the drop down menu and select Indiana

Table 1 Residential Survey Results

Percentage of households with at least one gas can 46%
Number of gas cans per household 1.8
Percentage of plastic cans/metal cans 76% / 24%
Weighted average gas can capacity (gal) 2.34
Percentage of gas cans stored with fuel 70%
Weighted average stored fuel volume (% of capacity) 49%



### 16Area Source Inventory S-006-OAQ-R-MO-08-S-R1

Percentage of all gas cans that are plastic and stored open/closed 23% / 53%
Percentage of all gas cans that are metal and stored open/closed 11% / 13%
Percent of all cans stored open/closed 34% / 66%



### 3. Using the survey results below in Table 2, esti mate the number of fuel containers for commercial categories for the state. Do this by using the commercial population based on the number of identified businesses in Table 3 and insert into the excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gasoline.zip\250101\GasCans.xls.

Table 2 Commercial Survey Results

Percentage of businesses with at least one gas can 80%
Number of gas cans per business 6.9
Percentage of plastic cans/metal cans 72% / 28%
Weighted average gas can capacity (gal) 3.43
Weighted average stored fuel volume (% of capacity) 49%
Percentage of all gas cans that are plastic and stored open/closed 39% / 33%
Percentage of all gas cans that are metal and stored open/closed 10% / 18%
Percent of all cans stored open/closed 49% / 51%



### Table 3 Category NAICS

Agricultural 115
Automotive Club and Towing Services 48841

Service Stations 8111

Lawn and Garden Maintenance Services 81141

General Contractors 23

Construction and Rental Yards 5324
Landscaping Services 561730



### 4. Calculate permeable emissions separately for bot h residential and commercial by using the emission rates given in the California document. Use 1.57g/gal /day for plastic contai ners and 0.6g/gal/day for
metal containers. Insert the numbers for both resi dential and commercial into the excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gaso line.zip\250101\GasCans.xls.

5. Calculate diurnal emissions by inserting the numbers for both residential and commercial into the excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gasoline.zip\250101\GasCans.xls.

6. Calculate transport spillage emissions by inserting the numbers for both residential and commercial into the excel spreadsheet at K:\OAQ_INV\Inv\Area Source\ Gasoline.zip\250101\GasCans.xls

Sub-Category 4.3: Service Station Tank Loading or Tank Truck Unloading (Stage 1)

SCC: 2501060052 (uncontrolled), 2501060053 (controlled)

Follow these steps when calculating emissions from tank loading and unloading

1. Find the amount of gasoline sold in Indiana at the Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

.
2. Find the amount of gasoline sold statewide and county wide by using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

.

17Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### 3. Run a query to find the amount of point source reported gasoline using t he ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb and subtract from the amount sold statewide. Use this to allocate to each county.

4. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

5. Find the amount of gasoline tank s from the Underground Storage Tank data files from the Office of Land Quality, Indiana Department of Environmental Management http://www.in.gov/idem/programs/land/ust/ust.html

.

6. Now copy the data into an Excel spreadsheet. Filt er finding the tanks that have only gasoline. Also filter out the tanks that are “permanently out of service”, “suspended per inspection”, and “unregulated”.

7. Using the Petroleum Sources Applicability Rule 326 IAC 8-4-1, filter out the t anks that are located in Clark, Boone, Dearborn, Elkhart, Floyd, Hamilton, Hancock, Harrison, Hendricks, Johnson, Lake, Marion, Morgan, Porter, Saint Joseph, and Shelby counties.

8. To find the amount of balanced tanks in Indiana, use the total of gasoline tanks found in step 7 and divide by the number of tanks that constructed after 1985 through current year. Use the spreadsheet created in step 7 and filter out the t anks that constructed prior to 1985.

9. Now apply the percentage found in step 8 to the amount of gasoline found in each county.

10. Apply the controlled emission factor to only those co unties identified in 326 IAC 8-4, i.e. Boone, Clark, Dearborn, Elkhart, Hamilton, Hancock, Harrison, Hendricks, Johnson, Lake, Marion, Morgan, Porter, Saint Joseph, and Shelby. Use the emission factor s for stage 1 controlled and uncontrolled in the EIIP, Volume 3, Chapter 11, Gasoline Marketing (Stage 1 and Stage 2) http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii11_apr2001.pdf

.

Sub-Category 4.4: Vehicle Fueling (Stage II) – Vapor Displacement

SCC: 2501060101 (uncontrolled), 2501060102 (controlled)

Follow these steps when calculating emissions from vehicle fueling – Vapor Displacement:

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

.

2. Find the amount of gasoline sold statewi de and by county using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

.

3. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

4. Calculate an emission factor using the input file s supplied from the mobile model. Table 1 and Table 2 show examples of how the emission factors fo r January and July for the Southern Counties were calculated. By using these two months, the other months are distributed. Use the average of all months for the emission factor for the Southern counties. Use the same methodology for the Northern counties, Central Countie s, Clark/Floyd, and Lake/Porter.

18Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### Table 1

January Run for Southern Counties

VTYPE GM_MILE MILES MPG VMT G/GAL Month Factor

1 0.0628 29.4642 23.89 0.463793 0.322719 1 1.01

2 0.1058 35.2923 18.77 0.070491 0.009868 2 1.14

3 0.1058 35.2923 18.77 0.234672 0.109364 3 1.28

4 0.1486 34.0851 14.31 0.071379 0.010834 4 1.41

5 0.1486 34.0851 14.31 0.032825 0.002291 5 1.55

6 0.2152 35.8919 9.88 0.028896 0.001775 6 1.69

7 0.2342 32.3617 9.08 0.001027 2.24E-06 7 1.82

8 0.2465 19.9098 8.63 0.000522 5.8E-07 8 1.69

9 0.2719 27.6093 7.82 0.001164 2.88E-06 9 1.55

10 0.2733 27.4686 7.78 0.002489 1.32E-05 10 1.41

11 0.2972 24.3758 7.15 0.001132 2.72E-06 11 1.28

12 0.3169 23.6257 6.71 0.000004 3.4E-11 12 1.14

25 0.3421 27.2301 6.22 0.000496 5.23E-07 Sum 16.97

0.456873 g/gal Average 1.41

1.007222 lb/E3gal

19Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### Table 2 July Run for Southern Counties

VTYPE GM_MILE MILES MPG VMT G/GAL

1 0.1144 29.1752 23.9 0.456768 0.570447

2 0.1955 34.8826 18.75 0.071404 0.018689

3 0.1955 34.8826 18.75 0.237712 0.207133

4 0.2882 33.944 14.3 0.072838 0.021865

5 0.2882 33.944 14.3 0.033496 0.004624

6 0.4164 35.8288 9.9 0.029201 0.003515

7 0.4529 32.4716 9.1 0.001038 4.44E-06

8 0.4763 19.6757 8.66 0.000509 1.07E-06

9 0.5264 27.4602 7.83 0.00116 5.55E-06

10 0.5283 27.3328 7.8 0.002482 2.54E-05

11 0.5749 24.2458 7.17 0.001122 5.19E-06

12 0.6128 23.3718 6.73 0.000004 6.6E-11

25 0.6629 27.2301 6.22 0.000485 9.7E-07

0.826316 g/gal

1.821697 lb/E3gal

5. Multiply the process rate in step 4 by the emission factor found in the mobile model.

Sub-Category 4.5: Vehicle Fue ling (Stage II) – Spillage

SCC: 2501060103

Follow these steps when calculating emi ssions from vehicle fueling – Spillage:

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

.

2. Find the amount of gasoline sold statewi de and by county using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

.

3. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

4. Apply the emission factor 0.7 lb VOC/1000 gallons in AP-42, Fifth Edition, Volume 1, Chapter 5, Petroleum Industry, Transportation, and Marketing of Petroleum Liquids http://www.epa.gov/ttn/chief/ap42/ch05/final/c05s02.pdf to the process rate found in step 4.

Sub-Category 4.6: Underground Tank Breathing

SCC: 2501060200

Follow these steps when calculating emi ssions from underground tank breathing:

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

.

2. Find the amount of gasoline sold statewi de and by county using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

.

20Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### 3. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

4. Apply the emission factor 1.0 lb VOC/1000 gallons in AP-42, Fifth Edition, Volume 1, Chapter 5, Petroleum Industry, Transportation, and Marketing of Petroleum Liquids http://www.epa.gov/ttn/chief/ap42/ch05/final/c05s02.pdf to the process rate found in step 4.

Sub-Category 4.7: Tank Trucks in Transit

SCC: 2505030120

Follow these steps when calculating emissions from tank trucks in transit:

1. Find the amount of gasoline sold in Indiana at t he Federal Highway Administration, U.S. Department of Transportation http://www.fhwa.dot.gov/po licy/ohim/hs04/htm/mf21.htm

.

2. Find the amount of gasoline sold statewi de and by county using the NAICS code 447-Gasoline Service Station from the U.S. Cens us Bureau’s, Economic Census at http://www.census.gov/econ/census02/data/in/IN000_44.HTM#N447

.

3. Allocate the amount sold to each of the counties by dividing the amount of sales in each county by statewide sales and multiplying by the number of gallons sold statewide found above in step 1.

4. Using the guidance in the EIIP, Volume 3, Chapt er 11, Gasoline Marketing (Stage I and State II) at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/iii11_apr2001.pdf ), multiply the activity rate 1.25 by the amount sold per county found in step 4.

5. Now multiply the process rate found in step 5 by the emission factor .06 lb VOC/gallon transported using the EIIP guidance above.



## Category 5: Waste Management Practices

Sub-Category 5.1: Solid Waste Incineration

5.1.1: Industrial Solid Waste Incineration

SCC: 2601010000

Follow these steps when calculating emissions from industrial solid waste incineration:

1. Find the number of manufacturing employees, NAICS code 31, for each county using the County Business Patterns at the U.S. Census Bureau’s website http://censtats.census.gov/c gi-bin/cbpnaic/cbpsel.pl

.

Note: Use the steps in 3.2-1 to navi gate through the county business patterns.

2. Multiply the county manufacturing employment by the default fuel-loading factor 420 tons / 1,000 manufacturing employees.

3. Multiply the process rate in step 2 by AP-42, Fi fth Edition, Volume 1, Chapter 2-1.12, Solid Waste Disposal at http://www.epa.gov/ttn/chief/ap42/ch02/index.html

.

21Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### 5.1.2: Commercial Solid Waste Incineration

SCC: 2601020000

Follow these steps when calculating emissions from commercial solid waste incineration:

1. Find the population for each county at the U.S. Census Bureau’s website http://www.census.gov/

.

Note: Use steps 2.1-5 to navigate thr ough the U.S. Census Bureau’s website.

2. Next find the default factor of .65lb/person/day from U.S. EPA Municipal Solid Waste Report http://www.epa.gov/epaoswer/non-hw/muncpl/msw99.htm

.

3. Find the percent of co mmercial solid waste from the U.S. EPA Municipal Solid Waste Report above.

4. Now, calculate the process rate for commercial solid waste incineration by multiplying population by the default factor of .65lb/person/day by the percent of commercial solid waste and number of days in

a year.

5. Multiply the process rate in step 4 by AP-42, Fi fth Edition, Volume 1, Chapter 2-1.12, Solid Waste Disposal at http://www.epa.gov/ttn/chief/ap42/ch02/index.html

.

5.1.3: Residential Solid Waste Incineration

SCC: 2601030000

Follow these steps when calculating emissions from residential solid waste incineration:

1. Find the population for each county at the U.S. Census Bureau’s website http://www.census.gov/

.
Note: Use step 2.1-5 to navigate through the U.S. Census Bureau’s website.

2. Next find the default factor of .65lb/person/day from U.S. EPA Municipal Solid Waste Report http://www.epa.gov/epaoswer/non-hw/muncpl/msw99.htm

.

3. Find the percent of residential solid waste from the U.S. EPA Municipal Solid Waste Report above.

4. Now, calculate the process rate for residentia l solid waste incineration by multiplying population by the default factor of .65lb/person/day by the percent of commercial solid waste and number of days in

a year.

5. Multiply the process rate in step 4 by AP-42, Fi fth Edition, Volume 1, Chapter 2-1.12, Solid Waste Disposal at http://www.epa.gov/ttn/chief/ap42/ch02/index.html

.

Sub-Category 5.2: Residential Open Burning

5.2.1: Leaf and Brush Burning

SCC: 2610000100 and 2610000400

Follow theses step when calculating emissions from leaf and brush burning:

1. Find a per capita factor for l eaf burning and a per capita for brus h burning by using the U.S. EPA’s Solid Waste Report at http://www.epa.gov/epaoswer/non-hw/muncpl/msw99.htm

.

2. Allocate the amount burned by adjusting the per c apita factor for leaves at 25% and for brush at 25%. Of the total waste generated only 28% burns.

22Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### 3. Once all the percentages from above are calculated, multiply the adjusted per capita factor by the rural population for each county from the U.S. Census Bureau at http://www.census.gov/

Note: As of the data of this SOP, the follow ing steps will lead to county rural population.

a. Go to http://www.census.gov/ b. On the left hand side, select American Fact Finder c. Select data sets
d. Detailed tables e. County f. Indiana g. All counties

4 Use the table below to adjust the amount of wast e generated to account for the percentage of forest in each county. The percentages come from a doc ument from the United States Department of Agriculture at http://ncrs.fs.fed.us /pubs/rb/rb_nc253b.pdf

.

Percent Forested Acres per County Adjusted for Yard Waste Generated

< 10% 0% generated

>= 10%, and < 50% 50% generated

>= 50% 100% generated



### 5. Now, multiply the amount of leaves and brush by the emission factors found in AP-42, Fifth Edition, Volume 1, Chapter 2, Solid Waste Disposal, Table 2.5-5, and Table 2.5-6 at http://www.epa.gov/ttn/chief/ap42/ch02/final/c02s05.pdf

.

5.2.2: Residential Waste Incineration

SCC: 2610030000

Follow these steps when calculating emissions from for residential waste incineration:

1. Find a per capita factor for re sidential waste incinerati on by using the U.S. EPA’ s Solid Waste Report

at http://www.epa.gov/epaoswer/non-hw /muncpl/pubs/mswchar05.pdf

.
2. Using the Solid Waste Report above, subtract the percentage of recycled and composted material from the per capita factor above.

3. Now, subtract the percentages of combustibles i.e. glass, metal, yard trimmings, and other waste.

4. Using a document from EPA, it states that only 28% of waste ge nerated by rural popul ation burns and of that percent, 49% is actually combusted. Using this information multiply the per capita factor by 0.28 and then multiply that number by 0.49 actually burned in rural counties.

5. Once all the percentages are calculated, multiply the adjusted per capita factor by the rural population for each county from the U.S. Census Bureau at http://www.census.gov/

.

Note: Use steps 5.2.1-3 to find county rural population.

6. Calculate the amount of residentia l waste by the emission factors in the EIIP, Volume 3, Chapter 16, Open Burning at http://www.epa.gov/ttn/chief/eiip/techreport/volume03/index.html

.

Sub-Category 5.3: Public Owned Treatment Works (POTW’s)

SCC: 2630020000

Follow these steps when calculating emissions from POTW’s:

23Area Source Inventory S-006-OAQ-R-MO-08-S-R1



### 1. To calculate the amount of annual flow for public owned treatment works, obtain the amount of monthly flow rate for each county. This is data is supplied by the Office of Water Quality. To calculate for annual flow multiply the monthly flow by the default of 0.16 that represents the amount of industrial flow.

2. Calculate the process rate above by the em ission factors in FIRE 6.25 using the SCC code
2630020000.

Sub-Category 5.4: Treatment, St orage, and Disposal Facilities

SCC: 2640000004

Follow these steps when calculating emissions fr om treatment, storage, and disposal facilities:

1. Obtain a list of treatment facilities and the amount of ignitable waste from each facility from IDEM’s Office of Land Quality.

2. Using the list of facilities from step 1, run a query using the ACCESS data tables at K:\OAQ_INV\Steptool\Stptl_02.mdb to obtain the amount of ignitable waste reported to IDEM’s Office of Air Quality.

3. Compare the two lists obtained in step 1 and step 2, for each facility subtract any quantity reported to OAQ from the quantity reported to OLQ. Do this in order to avoid double counting quantities reported to both offices. Combine the quantities reported from facilities within the same counties. Use these quantities as the process rate for each county.

4. Multiply the process rate above with th e combined emission factor in the table below:

Emission Source Emission Factor in AP-42 (lb VOC/Ton) Emission Factor Used (lb VOC/Ton)
Storage Tank Vent 0.004-0.09 0.09

Spillage (filling) 0.20 0.20
Loading (filling) 0.00024-1.42 1.42
Spillage (emptying) 0.20 0.20
Loading (emptying) 0.00024-1.42 1.42



### Combined Emission Factor 3.33



## Category 6: Submit Data to EPA

Submit data in a format that is acceptable to EPA. At the present time the format is the National Emission Inventory (NEI).



## 6. Standards and checklists The Emission Reporting program does not have any chec klist for the Area Source Inventory at this time. The Emission Group does this electronically through an excel spreadsheet that is created when needed.



## 7. Records Management The Area Source Inventory files are kept el ectronically at K:\OAQ_INV\Inv\Area Source.

The Branch Contact for the Air Programs Branch a nd the Section contact for the Technical Support and Modeling Section will keep copies of the SOPs for the Technical Support and Modeling Section to be referenced as needed. An electronic copy will also be available on K:\OAQ_INV\SOPs.

24Area Source Inventory S-006-OAQ-R-MO-08-S-R1


## 8. Quality Assuran ce / Quality Control Comparisons are made against the emissions estimates made by The U.S. EPA in the NEI.



## 9. Continuous Improvement Cycle A periodic review will be completed per updates and changes made to the EIIP.



## 10. References The Area Source Inventory is a requirement of 40 CF R Part 51 Subpart A - Emission Inventory Reporting Requirements.



## 11. History of Revisions

Date Month/day/year Revision Number Description

02/27/2008 1 Revised using new SOP template.



## 12. Appendices

None

25

## This page left intentionally blank.

# APPENDIX H

Lake Michigan Air Directors Consortium (LADCO) Emission Estimates Technical Support Document

# Regional Air Quality Analyses for

Ozone, PM 2. 5 

# , and Regional Haze:

F inal Technical Support Document

April 25 , 2008

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

# APPENDIX I

Lake Michigan Air Directors Consortium (LADCO) Round 5 Modeling Technical Support Document (Round 5 Photochemical Modeling Based on “Base M” Emission Inventory, revised version of “Base K”)

# This page left intentionally blank.

### February 27, 2008



# Base M Strategy Modeling: Emissions (Revised)

The purpose of this document is to summarize the emis sion estimates prepared for LADCO’s latest (Base M) 200 5 base year and 200 8, 2009, 2012, and 2018 future year modeling

. Base year emissions by state and s ource sector for Base K (2002) and Base M (2005) are compared in Figure 1. A more detailed state and source sector summary is provided in Attachment 1

. A dditional

emission reports are available on the LADCO website : http://www.ladco.org /tech/emis/r5/round5_reports.htm

.

VOC NOx SO2



### 0 2000 4000 6000 8000 10000 12000

2002

(K) 2005 ( M) 2002

(K) 2005 (M) 2002

(K) 2005 ( M) 

## WI

OH

MI

IN

IL

0 2000 4000 6000 8000 10000 12000

2002

(K) 2005 ( M) 2002

(K) 2005 (M) 2002

(K) 2005 (M) Area

Nonroad+MAR

Onroad

Non-EGU

EGU

Figure 1 . Base K and Base M Emissions for 5

- State LADCO Region : VOC, NOx, and SO2 (TPD, July weekday)



### Base Year Em i ssions
In mid

- 2006, LADCO completed modeling analyses for a 2002 base year and several future year control strategies ( LADCO, 2006a and LADCO, 2006b) . Following those analyses, a decision was made to conduct additional modeling using a more current base year (2005).
Examin ation of multiple base years provides for a more complete technical assessment. All modeling was conducted in accordance with USEPA modeling guidelines (USEPA, 2007).

### February 27, 2008



### For on

- road, ammonia, and biogenic sources, 2005 emissions were estimated by emission

m odels. For other sectors in the LADCO States, 2005 emissions were either supplied by a contractor ( railroads and commercial marine ) or by the States (point sources, area sources, and aircraft). For other sectors in non

- LADCO States, a contractor obtained the latest base (2002) and future year emission files (2009, 2018) from the other Regional Planning Organizations (RPOs) (Alpine, 2007 a ) . Specifically, the following versions of these emissions files were used : MANE

- VU: Version 3.1

, WRAP: Pre2002d

, CENRA P: Base F , and VISTAS: Base F

. The 2005 emissions were then estimated by linearly interpolating between the 2002 and 2009 emissions.

Further discussion of t he development of the 2005 base year emissions is provided below:

On

- R oad : CONCEPT was run by a contractor using transportation data (e.g., VMT and vehicle speeds) for 24 networks supplied by the state and local planning agencies in the LADCO States
and Minnesota (Environ, 2008 ) . These data were first processed with T3 (Tra vel Demand Modeling [TDM] Transformation Tool) to pro vide inpu t files for CONCEPT

. For some networks, the VMT outputs from T3 were adjusted to match 2005 HPMS data. CONCEPT was then run with meteorological data for a July and January weekday, Satur day, and Sunday (July 15

– 17

a nd January 16

– 18) to produce link

- specific, hourly emission estimates

. A s patial plots of emissions for July 15 are provided in Figure 2

.

VOC Emissions NOx Emissions

Figure 2 . July 15, 2005 motor vehicle emissions for VOC (left) and NOx (r ight)



### For the non

- LADCO States, CONCEPT was run by a contractor using RPO

- based HPMS county

- level data (2002 and 2009) and MOBILE6 inputs (2002) compiled by another contractor (Environ, 2008) . HPMS VMT for 2005 were generated by linearly interpolating b etween the 2002 and 2009 data. The 2002 MOBILE6 inputs were used for the 2005 modeling, with a few adjustments (e.g., fuel sulfur content was set to 30 ppm, as required by the Tier 2/low sulfur regulations). Meteorological data for a July and January wee kday, Saturday, and Sunday (July
15

– 17 and January 16

– 18) were used.

For other months (for both LADCO and non

- LADCO States), weekday, Saturday, and Sunday emissions were linearly interpolated based on the January and July emissions

.

### February 27, 2008



### Off

- R oad : NMIM2 005 was run by Grant Hetherington (W isconsin DNR) to produce emission s for most off

- road sectors for

the LADCO States plus Minnesota, Iowa, and Missouri. Improved model inputs included local data for construction and agricultural equipment prepared by a

c ontractor were incorporated (E.H. Pechan, 2004), and 2005 gasoline parameters. (Note, model updates prepared by AIR to address evaporative emissions were not included.)

EMS was run by LADCO using Grant Hetherington’s NMIM2005 data and , for the non

- LADCO States, using emission files supplied by Alpine based on data from the other R POs to produce weekday, Saturday, and Sunday emissions for each month.

Additional off

- road sectors (i.e., commercial marine, aircraft, and railroads [MAR]) were handled separate ly. Aircraft emissions were supplied by the LADCO States. Updated information for
railroads and commercial marine for the LADCO States was prepared by a contractor (Environ

, 2007a and Environ 2007b)

. Table 1 compares the new 2005 emissions with the prev ious 2002
emission estimates. The new 2005 emissions reflect substantially lower commercial marine
emissions and lower locomotive NOx emissions.

EMS was run by LADCO using the contractor and state data and , for the non

- LADCO States, using emission files supplied by Alpine based on data from the other R POs to produce weekday, Saturday, and Sunday emissions for each month.

Table 1. Locomotive and Commercial Marine Emissions for 2002 and 2005 Base Year

Railroads (TPY) Commercial Marine (TPY)

2002 2005 2002 2005

VOC 7,890 7,625 1,562 828

CO 20,121 20,017 8,823 6,727

NOx 182,226 145,132 64,441 42,336

PM 5,049 4,845 3,113 1,413

SO2 12,274 12,173 25,929 8,637

NH3 86 85

---- ----



### Area : EMS was run by LADCO using 2005 data supplied by the LAD CO States and, for the

non

- LADCO States, using emission files supplied by Alpine based on data from the other R POs to produce weekday, Saturday, and Sunday emissions for each month. Special attention was given to two source categories: industrial adhesive and sealant solvent emissions and outdoor wood boilers.

Industrial Adhesives and Sealants: T he NEI show s this to be a large VOC emissions category

in the LADCO States ( i.e.

., 50,000 TPY ) US EPA subsequently determined that “ (f) or the Region V states, we no longer believe that there are any activities in the Industrial Adhesives and Sealants category (SCC 2440020000) that have not been inventoried either in the point source Industrial Adhesives and Sealants category or under the Consumer and
Commercial Adh esives and Sealants nonpoint category (SCC 2460600000

- all adhesives and sealants).” (USEPA, 2007b) Consequently, this category was omitted from the 2005 regional emissions inventory.

### February 27, 2008



### Outdoor Wood Boilers: Over the past several years, the installation a nd operation of outdoor wood boilers for residential use has increased dramatically in many northern states. Relying on an emission estimation methodology prepared by Bart Sponseller (WDNR , 2006 ), emissions were calculated by the other states for this cat egory.

EGU Point : EMS was run by LADCO using 2005 data supplied by the LADCO States and, for
the non

- LADCO States, using emission files supplied by Alpine based on data from the other
R POs to produce weekday, Saturday, and Sunday emissions for each month. 2005 EGU emissions were temporalized for modeling purposes using profiles prepared by Scott Edick (Michigan DEQ) based on CEM data for the period 2004

- 2006. Profiles were generated for monthly weekday/ S aturday/ S unday based on the median hourly emissions for that month, day, and hour of the day for the three years. Over 90% of NOX and SO2 emissions from EGUs in the LADCO states were assigned profiles. In non

- L adco states

, the annual EGUs emissions were replaced with the 2005 sum of hourly emissions for al l 365 days.

Non

- EGU Point : EMS was run by LADCO using 2005 data supplied by the LADCO States and,
for the non

- LADCO States, using emission files supplied by Alpine based on data from the other
R POs to produce weekday, Saturday, and Sunday emissions for each month. EGUs were removed from th is point source file.

Other improvements to the base year inventory included:

Canadian Emissions : Previous modeling inventories for Canadian sources were flawed due to problems with emissions (e.g., LADCO inventories omitted ammonia emissions) or stack parameters (e.g., VISTAS inventories failed to include proper stack parameters, resulting in emissions getting dumped in the surface layer of the model). For Base M, Scott Edick (Michigan DEQ) processed the 2005 Canadi an National Pollutant Release Inventory ( NPRI

–
see http://www.ec.gc.ca/pdb/npri/ )

. Specifically, a subset of the NPRI data which are relevant to the air quality modeling were reformatted. A number of emissi on reports are available on the LADCO website ( http://www.ladco.org/tech/emis/basem/canada/index.htm ). Circle plot of point source emissions are presented in Figure 3

.

### February 27, 2008

Figure 3

. Base year emission plots for Canada



### Biogenic Emissions : A contractor provided an updated version of the CONCEPT/MEGAN (Model of Emissions of Gases and Aerosols from Nature

– see http://bai.acd.ucar.edu/Megan/ ) biogenics model , which was used to produce base year biogenic emission estimates (Alpine, 2007b)

. MEGAN includes functions for soil moisture plant stress, a more complete canopy model, full plant growth cycle emissions calculations, and state of the science emission rates.

Subsequent to deliver of the updated CONCEPT/MEGAN code, it was found that more recent data sets and model formulations were available. For t he purposes of the Round 5 modeling, LADCO simply scaled the emission estimates from the updated code to reflect these newer data. This resulted in lower emissions for several organic aerosol species and NOx

Compared to the EMS/BIOME emissions used for B ase K , t here is more regional isoprene with MEGAN (see Figure 4)

. Also, with the secondary organic aerosol updates to the CAMx air quality model, Base M includes emissions for monoterpenes and sesquiterpenes , which are pre

cursors of secondary PM 2. 5 

### organ ic carbon mass

.

Figure 4

. Isoprene emissions for Base M (left) v. Base K (right)

### February 27, 2008



### Ammonia Emissions : The CMU

- based 2002 (Base K) annual ammonia emissions were projected to 2005 using growth factors from the Round 4 emissions modeling. The se annual
emis sions were then adjusted by applying monthly temporal factors based on the process

based ammonia emissions model ( http://www.conceptmodel.org/nh3/nh3_index.html ). The model was run for the fo llowing list of model farms using 200 2 meteor o logical data : Dairy (California, Wisconsin), Swine (Iowa, Wisconsin), and Beef (Texas, Washington, Wisconsin)

. Because the model was not complete for the poultry housing model

, swine was use in its place given that both use confined operations.

Each model farms ’ emissions were used to generate monthly average day emissions and a monthly profile. The profiles were applied to geographies most associated with that farm type (e.g., a ll LADCO states used the Wisc onsin fa rm results) . The following figure show s the daily variation in emissions for the model farms

.

Wisconsin

–

dairy Wisconsin

- swine

Daily Total - Swine 55001

0.000 0.500 1.000 1.500 2.000 2.500 3.000 3.500

01/03/02 01/17/02 01/31/02 02/14/02 02/28/02 03/14/02 03/28/02 04/11/02 04/25/02 05/09/02 05/23/02 06/06/02 06/20/02 07/04/02 07/18/02 08/01/02 08/15/02 08/29/02 09/12/02 09/26/02 10/10/02 10/24/02 11/07/02 11/21/02 12/05/02 12/19/02

DateNH3 emissions (Kg / day) Daily Total - Dairy 55001

0.00 2.00 4.00 6.00 8.00 10.00 12.00 14.00

01/03/02 01/17/02 01/31/02 02/14/02 02/28/02 03/14/02 03/28/02 04/11/02 04/25/02 05/09/02 05/23/02 06/06/02 06/20/02 07/04/02 07/18/02 08/01/02 08/15/02 08/29/02 09/12/02 09/26/02 10/10/02 10/24/02 11/07/02 11/21/02 12/05/02 12/19/02

DateNH3 emissions (Kg / day)



### Washington

–

beef Texas

- beef

Daily Total - Beef 53001

0.000 0.500 1.000 1.500 2.000 2.500 3.000

01/03/02 01/17/02 01/31/02 02/14/02 02/28/02 03/14/02 03/28/02 04/11/02 04/25/02 05/09/02 05/23/02 06/06/02 06/20/02 07/04/02 07/18/02 08/01/02 08/15/02 08/29/02 09/12/02 09/26/02 10/10/02 10/24/02 11/07/02 11/21/02 12/05/02 12/19/02

DateNH3 emissions (Kg / day) Daily Total - Beef 48001

0.00 5.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00 45.00

01/03/02 01/17/02 01/31/02 02/14/02 02/28/02 03/14/02 03/28/02 04/11/02 04/25/02 05/09/02 05/23/02 06/06/02 06/20/02 07/04/02 07/18/02 08/01/02 08/15/02 08/29/02 09/12/02 09/26/02 10/10/02 10/24/02 11/07/02 11/21/02 12/05/02 12/19/02

DateNH3 emissions (Kg / day)



### Figure 5. Daily emissions for 2002 for various model farms

### February 27, 2008



### A plot of the resulting average daily emissions by state and month is provided in Figure 6

.

0 300 600 900 1200 1500 1800

Jan Fed March Apr May Jun Jul Aug Sept Oct Nov Dec

Illinois Indiana Io w a Michigan

Minnesota Ohio Wisconsin

Figure 6

. Average daily ammonia emissions for Midwest States by month for 2005



### Fires : For Base K, a contractor (EC/R, 2004) developed a 2001, 2002, and 20 03 fire emissions inventory for eight Midwest States (five LADCO states plus Iowa, Minnesota, and Missouri), including emissions from wild fires, prescribed fires, and agricultural burns. Projected emissions were also developed for 2010 and 2018 assuming “no smoke management” and “optimal smoke management” scenarios. An early model sensitivity run showed very little difference in modeled
PM 2.5 

### concentrations. Consequently, the fire emissions were not included in subsequent modeling runs (i.e., they were not in the Base K or Base M modeling inventories).

### February 27, 2008



### Future Year Emissions Complete e mission inventories were developed for t wo future year s : 2009 and 2018 1



### . Source sector emission summaries for the base years (2002

– Base K and 2005

– Base M) and future years are shown in Figure 7

. A more detailed state and source sector summary is provided in Attachment 1. A dditional emission reports are available on the LADCO website ( http://64.27.125 .175/tech/emis/r5/round5_reports.htm

.

VOC NOx S O2

0 3000 6000 9000 12000

2002 2005 2009 2012 2015 2018 2002 2005 2009 2012 2015 2018 2002 2005 2009 2012 2015 2018 Area

On-road

Nonroad

Non-EGU

EGU



### Figure 7 . Base year and future year emissions for 5

- State LADCO Region (TPD, July weekday)

1 

### A 2008 proxy inventory was prepared to support a preliminary 2008 modeling analysis to assess attainment for the basic nonattainment areas (i.e, for areas with a 2009 attainment date, the appropriate panning year is 2008). This inventory reflects the following assumptions:

On

- road: scale 2005 base year emissions using the Base K 2002

– 2009 trend (except for the Cincinnati

- Dayton area, where 2008 emissions were generated using CONCEPT and 2008 data supplied by the local planning agency)

Off

- road and area: scale 2005 base year emissions using the Base K 2002

- 2009 trend

Point

– EGU: use 2005 base year emissions, with slight adjustment (

- 10%)

Point

– Non

- EGU: use 2005 base year emissions (note: Base K 2002

- 2009 trend suggests little change)

Biogenics: use new 2005 base year emissions

A 2012 proxy inventory was prepared to support a preliminary 2012 modeling analysis to assess the effect of further emission reductions from existing controls. This inventory was derived by interpolating between 2009 and 2018 emissions for all sectors, except p oint sources (for which, the 2009 emissions were used).

### February 27, 2008



### For on

- road, off

- road, and EGU sources, the future year emissions were estimated by models (i.e., CONCEPT, NMIM2005, and IPM, respectively) and then processed by LADCO with EMS. For other sectors (area, MAR, and non

- EGU point sources)

, the future year emissions for the LADCO States were derived by applying growth and control factors to the base year inventory. These factors were developed by a contractor (E.H. Pechan , 2007 ). Growth factors were based initially on EGAS (version 5.0), and were subsequently modified (for select, priority categories) by examining emissions activity data. For the non

- L ADCO States, future year emission files were supplied by Alpine based on data from the other RPOs. Due to a lack of information on future year conditions, the biogenic VOC and NOx emissions, and all Canadian
emissions were assumed to remain constant betwe en the base year and future years.

A “base” control scenario was prepared for each future year based on the following “on the books” controls (E.H. Pechan, 2007):

On

- Highway Mobile Sources

• Federal motor vehicle emission control program, low sulfur gaso line, and ultra

- low
sulfur diesel fuel

• Inspection/Maintenance programs (nonattainment areas)

• Reformulated gasoline (nonattainment areas)

Off

- Highway Mobile Sources

• Federal control programs incorporated into NONROAD model (e.g., nonroad diesel rule), plus the evaporative Large Spark Ignition and Recreational Vehicle standards

• Heavy

- duty diesel (2007) engine standard/Low sulfur fuel

• Federal railroad/locomotive standards

• Federal commercial marine vessel engine standards

Area Sources

• Consumer solvents

• AIM coa tings

• Aerosol coatings

• Portable fuel containers

Power Plants

• Title IV (Phases I and II)

• NOx SIP Call

• Clean Air Interstate Rule

• Clean Air Mercury Rule

Other Point Sources

• VOC 2

- , 4

- , 7

- , and 10

- year MACT standards 2



### • Combustion turbine MACT

• Consent decrees (refiner ies, ethanol plants, and ALCOA) 3

2 

### E.H. Pechan’s original control file included EPA

- default control factor information. Alternative control factors were developed by Wisconsin for a few MACT categories, and were also applied to th e other four LADCO States.

### February 27, 2008



### • Other ( Illinois and Ohio NOx RACT 4



### , and BART in IN and WI)

Further discus sion of the development of the future year emissions is provided below:

On

- R oad : Similar to the base year modeling, CONCEPT was run using t ransportation data (e.g., VMT and vehicle speeds) supplied by the state and local planning agencies for 2009 and
2018 (Environ, 2008) . CONCEPT was only run with meteorological data for a July weekday (July 15) . The emissions for Saturday and Sunday were derived by using scaling factors based
on the 2005 emissions. The state

- level emissions for the five LADCO States plus Minnesota
are summarized in Table 2 5



### .

For the non

- LADCO States, CONCEPT was run by Environ using HPMS county

- level data and MOBILE6 inp uts compiled by another contractor for VISTAS. Note, the emissions modeling for IA, MO, and OK was redone for 2009 to reflect the state

- developed registration distribution data. (The initial modeling for 2009 used national default values for registration distribution assumed by VISTAS’ contractor. CENRAP’s contractor developed emissions inventories for 2002 and 2018 using the state

- developed data. For consistency, Environ’s remodeling for these three states for 2009 also used the state

- developed data.) Meteorological data for a July weekday (July 15) were used. The emissions for Saturday and Sunday were derived by using scaling
factors based on the 2005 emissions.

For other months (for both LADCO and non

- LADCO States), January weekday, Saturday, and Sunday emissions were derived based on the July:January ratios for 2005, and then the weekday, Saturday, and Sunday emissions for other months were linearly interpolated based on the January and July emissions

.

3 

### E.H. Pechan’s original control file included control factors for three sources in Wayne County, MI. These control factors were not applied in the regional

- scale modeling to avoid double

- counting with the State’s local

- scale a nalysis for PM2.5.

4 

### WI believes that NOx RACT for their sources is already included in the 2005 basecase and EGU “will do” scenario, and IN provided NOx RACT information for inclusion as a no

- EGU “may do” scenario.

5 

### For northeastern IL (CATS region), 2009 and 2018 emissions were increases by 9% and 8%, respectively, to reflect newer transportation modeling by CATS.

### February 27, 2008

Table 2. Summary of On

- road Emissions (TP D

– July 15, 2005)

Year State CO

- tpd TOG

- tpd NOx

- tpd PM2.5

- tpd SO2

- tpd NH3

- tpd Sum of VMT

2005 IL 3,684.3 341.5 748.2 12.9 9.6 35.9 344,087,819.6

IN 3,384.9 282.0 541.1 8.9 11.1 25.7 245,537,231.9

MI 4,210.3 351.9 722.0 12.4 13.9 35.3 340,834,025.9

MN 2,569.1 218.7 380.5 6.3 7.6 17.7 170,024,599.7

OH 6,113.4 679.8 933.6 16.2 18.8 36.5 360,521,068.6

WI 2,206.0 175.1 457.5 7.8 9.2 19.7 189,123,964.3

Total 22,168.0 2,049.0 3,782.9 64.5 70.2 170.8 1,650,128,709.9

2009 IL 2,824.4 268.0 52 7.8 10.1 4.2 38.9 372,132,591.1

IN 2,839.5 234.9 401.9 6.7 2.8 26.1 249,817,026.3

MI 3,172.0 269.2 500.9 9.2 4.0 37.1 356,347,010.5

MN 2,256.8 206.3 307.5 5.1 2.3 21.5 204,443,017.8

OH 4,619.2 423.7 693.5 11.8 4.7 39.5 387,428,127.2

WI 1,673.4 11 9.4 322.1 5.7 2.3 20.6 197,729,964.9

Total 17,385.3 1,521.5 2,753.6 48.7 20.3 183.6 1,767,897,737.8

2018 IL 2,084.7 151.5 200.7 6.3 3.7 43.1 413,887,887.3

IN 2,217.3 138.4 173.0 4.4 2.6 30.2 288,042,232.1

MI 2,434.3 163.5 204.1 5.9 3.6 40. 5 388,128,431.8

MN 1,799.6 123.1 137.1 3.6 2.2 24.9 237,022,213.7

OH 3,361.5 242.5 274.1 6.8 4.0 43.1 421,694,093.4

WI 1,255.5 68.4 138.5 3.9 2.0 22.2 218,277,167.5

Total 13,152.9 887.5 1,127.5 30.8 18.1 203.9 1,967,052,025.8

### February 27, 2008



### EGU Point : Future ye ar emissions were based on EPA’s IPM3.0 modeling 6



### . Three CAIR
scenarios were addressed:

5 a: EPA’s IPM3.0 was assumed as the future year base for EGUs.

5 b: EPA’s IPM3.0, with several “will do” adjustments identified by the States. These adjustments should reflect a legally binding commitment (e.g., signed contract, consent decree, or operating permit). 7



### 5 c: EPA’s IPM3.0, with several “may do” adjustments identified by the States. These adjustments reflect less rigorous criteria, but should stil l be some type of public reality (e.g., BART determination or press announcement).

Table 3 summarizes the SO2 and NOx emissions for the three scenarios. The individual f acilities affected by the “will do” and “may do” adjustments are identified in Attac hment 2. The net effect of these adjustments is a small increase in regional SO2 and NOx emissions.

Based on initial discussions with USEPA, a decision was made to use the 2010 IPM emissions in the 2009 modeling. USEPA subsequently insisted that 2009 mo deling must represent 2009 conditions. Because 2009 and 2010 EGU NOx emissions are expected to be similar (note: CAIR Phase I compliance date for NOx is 2009), the Round 5.1 ozone modeling was not
redone.

USEPA believes that 2009 and 2010 EGU SO2 emissio ns may be significantly different (note: CAIR Phase I compliance date for SO2 is 2010). In particular, USEPA noted that information on projected scrubber installations identifies several facilities are not expected to be completed
until 2010. A model sen sitivity run was conducted with adjusted (higher) EGU SO2 emissions.

6 

### The second set of new IPM runs by EPA were used. These runs were performed at the request of the RPOs and reflect the addition of run y ears 2012 and 2018 , and the use of four load segments for 2032 to decrease model size (instead of six segments). Comparing the results in this run with EPA’s initial v3.0,
showed small differences Below is a quick summary of the run year differences.

EP A Base Case for IPM v.3.0
2010: 2009

- 2012
2015: 2013

- 2017
2020: 2018

- 2022
2025: 2023

- 2027
2032: 2028

- 2035

Base Case RPO Run for IPM v3.0 (added 2012 and 2018 run years, 2020 run year merged with the 2025 run year, and four load segments used for the 2032 run year)
2010: 2009

- 2011
2012: 2012

- 2012
2015: 2013

- 2017
2018: 2018

- 2019
2025: 2020

- 2028
2032: 2029

- 2035

7 

### Scenario 5b and 5c also reflect changes in Minnesota, Missouri, and North Dakota.

### February 27, 2008



### Table 4 provides information from USEPA s Clean Air Markets Division (CAMD) on scrubber installation dates. This information is based on various sources, including company announcements, consent decrees, v endors, and organizations that track scrubber installations. While there may be uncertainty in any projection of control installations, USEPA conside rs these adequate project ions for SIP planning purposes.

USEPA identified six plants which: (1) are projected in IPM3.0 to have scrubbers in place by 2010 (or 2011), but will not be completed by 2009, and (2) are most likely to impact PM 2. 5 

### air quality in the upper Midwest (see highlighting in Table 4 ). To reflect uncontrolled (2009)
emi ssions for those facilities (and units), LADCO substituted actual 2005 emissions for the IPM3.0 projected 2010 emissions. The revised (2009) SO2 emissions for the six facilities (see Table 5) represent a 5

- 6% increase in domainwide SO2 emissions.

### February 27, 2008

Table 3. Comparison of EGU Emissions for Base (5a), Will Do (5b), and Will Do (5c) Scenarios



### 2010 2018

SO2 5a 5b 5c 5a 5b 5c

IL 958 881 881 869 433 433

IN 1033 1318 1318 1036 1194 1194

MI 667 667 667 725 725 725

OH 1326 1410 1410 983 1127 1127

WI 460 460 421 435 499 235

4444 4736 4697 4048 3978 3714

MN 162 148 148 187 167 157

NOx 5a 5b 5c 5a 5b 5c

IL 275 247 247 224 195 195

IN 370 372 372 255 266 266

MI 242 242 242 243 243 243

OH 281 305 305 285 310 310

WI 165 164 155 176 172 145

1333 1330 1321 1183 1186 1159

MN 116 142 142 132 157 125

### February 27, 2008

Table 4. Facilities Anticipating SO2 Controls in 2009 and 2010

State Name Plant Name UniqueID_Final ORIS
Code Unit

ID Capacity

MW Scrubber

On lineYear Scrubber

OnlineMonth

Alabama Barry 3_B_5 3 5 768 2010

Alabama E C Gaston 26_B_5 26 5 861 2010

Arizona Cholla 113_B_3 113 3 271 2009

Florida Crystal River 628_B_4 628 4 720 2010

Florida Crist 641_B_6 641 6 302 2010

Florida Crist 641_B_ 7 641 7 477 2010

Florida Crystal River 628_B_5 628 5 717 2009 5

Florida Deerhaven Generating Station 663_B_B2 663 B2 228 2009 5 Georgia Bowen 703_B_1BLR 703 1BLR 713 2010
Georgia Wansley 6052_B_2 6052 2 892 2009 5 Georgia Bowen 703_B_2BLR 703 2BLR 7 18 2009 4

Indiana Clifty Creek 983_B_1 983 1 217 2010

Indiana Clifty Creek 983_B_2 983 2 217 2010

Indiana Clifty Creek 983_B_3 983 3 217 2010

Indiana Clifty Creek 983_B_4 983 4 217 2010

Indiana Clifty Creek 983_B_5 983 5 217 2010

Indiana Clifty Creek 983_B_6 983 6 217 2010

Indiana Warrick 6705_B_4 6705 4 300 2010 Kentucky Big Sandy 1353_B_BSU2 1353 BSU2 800 2009 11
Kentucky E W Brown 1355_B_1 1355 1 94 2009 1 Kentucky E W Brown 1355_B_2 1355 2 160 2009 1
Kentucky E W Brown 1355_B_3 1355 3 422 2009 1
Kentucky H L Spurlock 6041_B_1 6041 1 315 2009 Maryland Brandon Shores 602_B_1 602 1 643 2010
Maryland Brandon Shores 602_B_2 602 2 643 2010 Maryland Chalk Point LLC 1571_B_1 1571 1 341 2010
Maryland Chalk Point LLC 1571_B_2 1571 2 342 2010
Maryland Dickerson 1572_B_1 1572 1 182 2010 Maryland Dickerson 1572_B_2 1572 2 182 2010
Maryland Dickerson 1572_B_3 1572 3 182 2010 Maryland Morgantown Generating Plant 1573_B_1 1573 1 624 2009
Maryland Morgantown Generating Plant 1573_B_2 1573 2 620 2009

Michigan Monroe 1733_B_4 1733 4 775 2009 (2010?)

Missouri Sioux 2107_B_1 2107 1 497 2010

Missouri Sioux 2107_B_2 2107 2 497 2010
New Jersey PSEG Mercer Gen. Station 2408_B_1 2408 1 315.3 2010
New Jersey PSEG Mercer Gen

. Station 2408_B_2 2408 2 309.9 2010

New York AES Westover 2526_B_11 2526 11 21.85 2010

New York AES Westover 2526_B_12 2526 12 21.85 2010

New York AES Westover 2526_B_13 2526 13 84 2010

New York AES Greenidge LLC 2527_B_4 2527 4 26.5 2010

New York AES Gr eenidge LLC 2527_B_5 2527 5 26.5 2010

NorthCarolina Cliffside 2721_B_1 2721 1 38 2010

### February 27, 2008

NorthCarolina Cliffside 2721_B_2 2721 2 38 2010

NorthCarolina Cliffside 2721_B_3 2721 3 61 2010

NorthCarolina Cliffside 2721_B_4 2721 4 61 2010

NorthCarolina Cl iffside 2721_B_5 2721 5 550 2010

NorthCarolina G G Allen 2718_B_1 2718 1 161.73 2009 5

NorthCarolina Roxboro 2712_B_1 2712 1 369 2009

NorthCarolina G G Allen 2718_B_2 2718 2 161.73 2009

NorthCarolina G G Allen 2718_B_3 2718 3 259.77 2009

NorthC arolina G G Allen 2718_B_4 2718 4 274.77 2009

NorthCarolina G G Allen 2718_B_5 2718 5 265 2009

NorthCarolina Mayo 6250_B_1A 6250 1A 361.5 2009

NorthCarolina Mayo 6250_B_1B 6250 1B 361.5 2009

Ohio W H Sammis 2866_B_6 2866 6 630 2011

Ohio W H S ammis 2866_B_7 2866 7 630 2011

Ohio R E Burger 2864_B_7 2864 7 156 2010

Ohio R E Burger 2864_B_8 2864 8 156 2010

Ohio Kyger Creek 2876_B_1 2876 1 217 2010

Ohio Kyger Creek 2876_B_2 2876 2 217 2010

Ohio Kyger Creek 2876_B_3 2876 3 217 2010

Ohio Kyger Creek 2876_B_4 2876 4 217 2010

Ohio Kyger Creek 2876_B_5 2876 5 217 2010

Ohio Conesville 2840_B_4 2840 4 780 2009 4

Ohio Bay Shore 2878_B_4 2878 4 215 2009
Pennsylvania Cheswick Power Plant 8226_B_1 8226 1 580 2010 Pennsylvania Hatfields Fe rry Power Station 3179_B_1 3179 1 530 2009 1
Pennsylvania Hatfields Ferry Power Station 3179_B_2 3179 2 530 2009 1
Pennsylvania Hatfields Ferry Power Station 3179_B_3 3179 3 530 2009 1 Pennsylvania Keystone 3136_B_1 3136 1 850 2009
Pennsylvania Keyst

one 3136_B_2 3136 2 850 2009
Pennsylvania PPL Brunner Island 3140_B_1 3140 1 321 2009 Pennsylvania PPL Brunner Island 3140_B_2 3140 2 378 2009

Tennessee Kingston 3407_B_1 3407 1 135 2010

Tennessee Kingston 3407_B_2 3407 2 135 2010

Tennessee Ki ngston 3407_B_3 3407 3 135 2010

Tennessee Kingston 3407_B_4 3407 4 135 2010

Tennessee Kingston 3407_B_5 3407 5 177 2010

Tennessee Kingston 3407_B_6 3407 6 177 2010

Tennessee Kingston 3407_B_7 3407 7 177 2010

Tennessee Kingston 3407_B_8 3407 8 177 2010

Tennessee Kingston 3407_B_9 3407 9 178 2010

Tennessee Bull Run 3396_B_1 3396 1 881 2009 1

Texas Fayette Power Project 6179_B_1 6179 1 598 2009

Texas Fayette Power Project 6179_B_2 6179 2 598 2009
Virginia Chesterfield 3797_B_5 3797 5 310 2 010
Virginia Yorktown 3809_B_1 3809 1 159 2010

### February 27, 2008

Table 5. Summary of Adjusted EGU SO2 Emissions (TPD)

State Plant 2010 IPM 2005 BY

Indiana Clifty Creek 41.41 225.32

Missouri Ameren Sioux 22.25 141.92

Ohio Kyger Creek 21.53 197.68

Ohio Sammis 147.97 305.90

Pennsylv a nia Cheswick 11.53 103.98

Tennessee Kingston 41.15 155.20

### February 27, 2008



### References

Alpine Geophysics, 2007 a , “Emissions Inventory Assistance: 2005 Base Year Biogenic and Other (non

- LADCO) State Emissions, Preparation and Delivery of Non

- MR PO Emission Files< March 12, 2007.

Alpine Geophysics, 2007b, Updated CONCEPT code with new (MEGAN) biogenic emissions
delivered via e

- mail from James Wilkinson on February 9, 2007.

EC/R, Incorporated, 2004, “Fire Emissions Inventory Development for the M idwest Regional Planning Organization”, Final Report, September 30, 2004.

E.H. Pechan, 2004, “LADCO Nonroad Emissions Inventory Project

– Development of Local Data for Construction and Agricultural Equipment”, Final Report, September 10, 2004

E.H. Pechan , 2005, “Development of Updated Growth and Control Factors for Lake Michigan Air Directors Consortium (LADCO)”, Draft Report, December 29, 2005.

E. H. Pechan, 2007, “Development of 2005 Base Year Growth and Control Factors for Lake Michigan Air Directors Consortium (LADCO)”, Final Report, September 2007.

Environ, 2004, “LADCO Nonroad Emissions Inventory Project for Locomotive, Commercial Marine, and Recreational Marine Emission Sources, Final Report, December 2004.

Environ, 2007 a , “LADCO 2005 Locomotive Emissions”, Draft, February 2007.

Environ, 2007 b , “LADCO 2005 Commercial Marine Emissions”, Draft, March 2, 2007.

Environ, 200 8 , “LADCO On

- Road Emission Inventory Developm ent Using CONCEPT MV”, January 2008

.

LADCO, 2006a, “Base K/Round 4 Strategy Modeli ng” Emissions”, May 16, 2006.

LADCO, 2006b, “Base K/Round 4 Modeling: Summary”, August 31, 2006.

Mansell, G, Z. Wang, R. Zhang, J. Fadel, T. Ramsey, H. Xin, Y. Liang, and J. Arogo, 2005, “An Improved Process

- Based Ammonia Emissions Model for Agricultural Sources

– Emission Estimates”

USEPA, 2007a, "Guidance for on the Use of Models and Other Analyses for Demonstrating Attainment of Air Quality Goals for Ozone, PM 2. 5 

### , and Regional Haze”, EPA

- 454/B07

- 002, April 2007.

USEPA, 2007b, E

- mail from Dennis Bea uregard (OAQPS) dated February 22, 2007.

Zhang, R, T. Ramsey, J. Fadel, J. Arogo, Z. Wang, G. Mansell, and H. Xin, 2005, “An Improved
Process

- Based Ammonia Emissions Model for Agricultural Sources

– Model Development”

WDNR, 2006, “ Wisconsin Draft 2005 Ou tdoor Wood Boiler Methodology ”, PowerPoint presentation by Bart Sponseller, November 13, 2006.

### February 27, 2008



### Web Sites:

http://www.ladco.org/tech/emis/basek/BaseK_Reports.htm

http://www.ladco.org/tech/emis/r5/round5_reports.htm

http://www.ladco.org/tech/emis/basem/canada/index.htm

http://www.ec.gc.ca/pdb/npri/

http://bai.acd.ucar.edu/Megan/

http://www.conceptmodel.org/nh3/nh3_index.html

### February 27, 2008



# ATTACHME NT 1

Emissions SummariesVOC Base M BaseK Base M BaseK BaseK Base M NOx Base M BaseK Base M BaseK BaseK Base M SOX Base M BaseK Base M BaseK BaseK Base M PM2.5 Base M BaseK Base M BaseK BaseK Base M

July 2002 2005 2009 2009 2012 2018 2018 2002 2005 2009 2009 2012 2018 2018 2002 2005 2009 2009 2012 2018 2018 2002 2005 2009 2009 2012 2018 2018

Nonroad

IL 224 321 164 257 149 130 213 324 333 263 275 224 154 155 31 33 5 5 0.6 0.4 0.4 30 24 14

IN 125 195 94 160 95 95 128 178 191 142 158 141 141 89 17 19 3 3 3 0.3 0.2 17 13 7

MI 348 414 307 350 276 222 271 205 239 159 197 133 93 112 19 22 3 3 0.5 0.3 0.3 22 18 11

OH 222 356 161 294 145 126 238 253 304 195 246 162 109 135 23 29 4 5 0.5 0.3 0.4 27 22 13

WI 214 238 194 203 175 140 157 145 157 114 129 97 69 77 13 15 2 2 0.3 0.2 0.2 14 12 7

5-State Total 1133 1524 920 1264 840 713 1007 1105 1224 873 1005 757 566 568 103 118 17 18 4.9 1.5 1.5 110 89 52

U.S. Total 8463 9815 5442 8448 5244 6581 6041 9060 6057 8120 5832 5100 505 654 117 153 104 13 573 750 475

MAR

IL 10 11 10 10 10 10 6 277 246 201 228 195 186 165 0 22 0 19 0 0 17 7 6 4

IN 5 5 5 5 5 5 3 123 93 89 87 87 84 65 0.2 8 0.2 7 0.2 0.2 6 2 2 2

MI 7 7 7 7 7 8 7 114 87 112 82 111 110 65 0.6 21 0.7 14 0.7 0.8 8 3 3 2

OH 8 7 8 7 8 8 5 177 134 128 126 126 122 94 0.4 14 0.3 12 0.3 0.3 10 4 4 2

WI 4 4 4 4 4 4 3 79 58 59 54 59 57 41 12.7 8 9.5 6 9.5 8.7 5 2 2 1

5-State Total 34 34 34 33 34 35 24 770 618 589 577 578 559 430 13.9 73 10.7 58 10.7 10 46 18 17 11

U.S. Total 307 317 321 157 329 346 334 4968 4515 4002 1813 3964 3919 3812 620 512 509 122 509 503 290 147 57 165

OtherArea

IL 679 675 688 594 700 738 582 62 48 68 48 70 73 49 11 11 12 16 12 13 16 40 64 69

IN 354 391 365 358 373 398 384 62 56 65 58 67 69 59 158 32 150 32 151 153 32 2 2 2

MI 518 652 516 562 520 541 549 49 49 52 50 53 54 51 71 29 68 29 68 68 28 111 114 120

OH 546 604 550 506 558 593 487 50 93 59 108 60 62 108 22 6 34 15 35 35 14 19 35 34

WI 458 315 467 290 474 506 293 32 37 34 37 34 35 37 9 17 9 13 10 10 13 11 12 12

5-State Total 2555 2637 2586 2310 2625 2776 2295 255 283 278 301 284 293 304 271 95 273 105 276 279 103 183 227 237

U.S. Total 17876 21093 18638 18683 20512 24300 3856 4899 4100 4220 4418 5357 2075 2947 2062 2559 2189 2709 2735 2621 2570

On-Road

IL 446 341 314 268 260 197 151 890 748 578 528 474 300 201 9 4 3 13 10 6

IN 405 282 237 235 193 150 138 703 541 425 402 313 187 173 11 3 2 9 7 2

MI 522 351 335 269 303 217 163 926 722 680 501 619 385 204 14 4 3 12 9 3

OH 574 680 365 424 340 238 242 1035 934 609 693 512 270 274 18 4 4 16 12 4

WI 238 175 144 119 117 88 68 481 457 303 322 226 118 138 9 2 2 8 6 2

5-State Total 2185 1829 1395 1315 1213 890 762 4035 3402 2595 2446 2144 1260 990 61 17 14 58 44 17

U.S. Total 14263 7825 23499 13170

EGU

IL 9 7 8 6 8 9 7 712 305 227 275 244 231 224 1310 1158 944 958 789 810 869 13 34 77

IN 6 6 6 6 7 6 6 830 393 406 370 424 283 255 2499 2614 1267 1033 1263 1048 1036 16 73 74

MI 12 6 11 4 11 12 4 448 393 218 242 219 247 243 1103 1251 1022 667 1031 1058 725 15 25 29

OH 5 4 6 5 7 7 6 1139 408 330 280 322 271 285 3131 3405 1463 1326 994 701 983 28 94 80

WI 3 5 3 2 4 4 3 293 213 146 165 139 147 177 602 545 512 460 492 500 435 0 22 25

5-State Total 35 28 34 23 37 38 26 3422 1712 1327 1332 1348 1179 1184 8645 8973 5208 4444 4569 4117 4048 72 248 285

U.S. Total 214 140 195 124 197 215 138 14371 10316 7746 7274 7721 7007 6095 31839 34545 20163 16903 17629 14727 14133 685 1131 1571

Non-EGU

IL 313 221 286 218 305 350 258 356 330 334 218 338 343 235 373 423 251 335 257 249 346 16 17 19

IN 150 130 160 137 170 199 167 238 179 212 175 216 225 178 292 218 270 216 274 290 180 35 36 44

MI 123 116 115 119 122 139 140 216 240 208 242 214 229 271 162 158 166 148 171 185 163 20 21 25

OH 77 84 75 87 79 90 104 177 175 157 166 160 167 178 240 289 231 288 210 216 293 27 28 33

WI 88 84 97 87 104 120 106 98 97 91 93 92 94 81 163 156 154 152 155 156 85 0 0.1 0.1

5-State Total 751 635 733 648 780 898 775 1085 1021 1002 894 1020 1058 943 1230 1244 1072 1139 1067 1096 1067 98 102 121

U.S. Total 4087 3877 4409 4700 5378 6446 6730 6129 6435 6952 5759 5630 6093 6340 6970 1444 1777

IL 1681 1576 1470 1353 1432 1434 1217 2621 2010 1671 1572 1545 1287 1029 1725 1656 1212 1337 1059 1072 1251 119 155 189

IN 1045 1009 867 901 843 853 826 2134 1453 1339 1250 1248 989 819 2966 2902 1690 1294 1691 1492 1256 81 133 131

MI 1530 1546 1291 1311 1239 1139 1134 1958 1730 1429 1314 1349 1118 946 1356 1495 1260 865 1271 1312 927 183 190 190

OH 1432 1735 1165 1323 1137 1062 1082 2831 2048 1478 1619 1342 1001 1074 3416 3761 1732 1650 1240 953 1304 121 195 166

WI 1005 821 909 705 878 862 630 1128 1019 747 800 647 520 551 800 750 687 635 667 675 540 35 54 47

5-State Total 6693 6687 5702 5593 5529 5350 4889 10672 8260 6664 6555 6131 4915 4419 10263 10564 6581 5781 5928 5504 5280 539 727 723

### February 27, 2008



# ATTACHMENT 2

“Will Do” and “May Do” EGU Facility Emissions

### February 27, 2008



### 2009

– Difference between base (5a) and “will do” (5b) scenarios

The SAS System 09:55 Wednesday, February 27, 2008 1

------------------------ ------------------------------------ polid=NOX

--------------------------------------------------------

-----

Obs cntryid stid cyid fcid name polid aceebase aceenew diff

1 US 17 97 097190AAC MIDWEST GENERAT NOX 11.54 6.28

- 5.266
2 US 17 197 197810AAK MIDWEST GENERAT NOX 21.11 9.46

- 11.652
3 US 18 73 00008 NIPSCO

- R.M. S NOX 26.50 24.81

- 1.691
4 US 18 77 00001 IKEC

- CLIFTY C NOX 11.58 16.42 4.836
5 US 18 89 00117 NIPSCO

- DEAN H NOX 20.51 19.13

- 1.384
6 US 27 37 2703700003 NSP dba Xcel En NOX 8.03 26.74 18.709
7 US 27 61 2706100004 Minne sota Power NOX 15.43 18.40 2.969 8 US 27 163 2716300005 Xcel Energy

- A NOX 4.21 5.92 1.718
9 US 29 183 0001 AMERENUE

- SIOUX NOX 28.47 12.81

- 15.658
10 US 38 55 126 Coal Creek Stat NOX 30.49 30.36

- 0.132
11 US 38 57 12 Leland Olds Sta NOX 11 .32 36.67 25.348
12 US 38 57 125 Stanton Station NOX 6.11 6.11 0.002 13 US 38 57 13 Antelope Valley NOX 33.00 36.39 3.385 14 US 38 57 289 Coyote NOX 35.12 36.95 1.839
15 US 38 59 172 RM Heskett Stat NOX 5.45 4.72

- 0.727 16 US 38 65 165 M R Young Stati NOX 6.02 71.10 65.081

17 US 39 93 0247030013 AVON LAKE POWER NOX 3.98 20.54 16.561

1 8 US 39 129 0165000006 NOX . 1.69 .
19 US 55 11 606034110 DAIRYLAND POWER NOX 19.24 18.96

- 0.279
20 US 55 21 111003090 Alliant Energy

- NOX 14.23 17.16 2.927 21 US 55 43 122014530 Alliant Energy

- NOX 7.61 7.77 0.160
22 US 55 59 230006260 WIS ELECTRIC PO NOX 7.39 14.03 6.647
23 US 55 71 436035930 MANITOWOC PUBLI NOX 2.06 1.80

- 0.259
24 US 55 79 241007690 WIS ELECTRIC PO NOX 15.25 15.41 0.166
25 US 55 79 241007800 WIS ELECTRIC PO NOX 7.87 6.07

- 1.801
26 US 55 117 460033090 WP & L All iant NOX 19.06 11.85

- 7.215

27 US 55 123 663020930 DAIRYLAND POWER NOX 10.47 8.52

- 1.955

----- -------- ------- -------- polid 382.05 486.07 102.327

### February 27, 2008

------------------------------------------------------------ polid=SO2

------------------------- -------------------------------

-----

Obs cntryid stid cyid fcid name polid aceebase aceenew diff

28 US 17 97 097190AAC MIDWEST GENERAT SO2 49.9 1 29.27

- 20.636
29 US 17 197 197810AAK MIDWEST GENERAT SO2 91.90 62.70

- 29.198

30 US 18 29 00002 AMERICAN ELECTR SO2 66.34 102.72 36.389
31 US 18 43 00004 PSI ENERGY

- GA SO2 25.53 66.01 40.488
32 US 18 73 00008 NIPSCO

- R.M. S SO2 82.52 63.71

- 18.817
33 US 18 147 00020 INDIANA MICHIGA SO2 71.67 198.71 127.042
34 US 18 167 00021 PSI ENERGY

- WA SO2 76.09 175.87 99.786

35 US 27 31 2703100001 Minnesota Power SO2 12.27 5.75

- 6.512
36 US 27 61 2706100004 Minnesota Power SO2 30.76 20.79

- 9.968
37 US 27 163 2716300005 Xcel Energy

- A SO2 5.33 7.11 1.777
38 US 29 183 0001 AMERENUE

- SIOUX SO2 22.25 8.34

- 13.903
39 US 38 55 126 Coal Creek Stat SO2 27.45 75.37 47.926
40 US 38 57 12 Leland Olds Sta SO2 108.15 126.06 17.906

41 US 38 57 125 Stanton Station SO2 25.29 12.37

- 12.922 42 US 38 57 13 Antelope Valley SO2 26.60 43.72 17.128 43 US 38 57 289 Coyote SO2 19.26 53.19 33.932
44 US 38 59 172 RM Heskett Stat SO2 9.23 30.11 20.872 45 US 38 65 165 M R Young Stati SO2 27.98 82.23 54.249

46 US 39 81 0641160017 W. H. SAMMIS PL SO2 147.97 55.61

- 92.363
47 US 39 93 0247030013 AVON LAKE POWER SO2 7.62 127.04 119.417
48 US 39 129 0165000006 SO2 . 16.55 . 49 US 55 21 111003090 Alliant Energy

- SO2 61.97 74.80 1 2.822 50 US 55 43 122014530 Alliant Energy

- SO2 11.49 42.60 31.111
51 US 55 59 230006260 WIS ELECTRIC PO SO2 7.39 12.34 4.949

52 US 55 71 436035930 MANITOWOC PUBLI SO2 5.90 9.95 4.050
53 US 55 79 241007690 WIS ELECTRIC PO SO2 59.72 41.19

- 18.535

54 US 55 79 241007800 WIS ELECTRIC PO SO2 38.79 21.36

- 17.433
55 US 55 123 663020930 DAIRYLAND POWER SO2 19.56 3.79

- 15.772

----- -------- ------- -------- polid 1138.93 1569.26 413.785

======== ======= ======== 1520.97 2055.32 516.112

### February 27, 2008



### 2009

– Difference between “will do” (5b) and “may do” (5c) s cenario s

The SAS System 09:55 Wednesday, February 27,

2008 1

------------------------------------------------------------ polid=NOX

----------------------------------------- ---------------

-----

Obs cntryid stid cyid fcid name polid aceebase aceenew diff

1 US 19 139 70

- 01

- 011 MUSCATINE POWER NOX 5.649 3.926

- 1.7226

2 US 55 9 405031990 WI PUBLIC SERVI NOX 9.234 7.786

- 1.4476
3 US 55 11 606034110 DAIRYLAND POWER NOX 18.957 18.994 0.0377 4 US 55 21 111003090 Alliant Energy

- NOX 17.158 17.156

- 0.0021
5 US 55 25 113004430 MADISON GAS & E NOX 3.886 2.639

- 1.2470

6 US 55 43 122014530 Alliant Energy

- NOX 7.765 7.756

- 0.0091
7 US 55 59 230006260 WIS ELECTRIC PO NOX 14.034 9.826

- 4.2074
8 US 55 71 436035930 MANITOWOC PUBLI NOX 1.800 0.439

- 1.3610
9 US 55 79 241007690 WIS ELECTRIC PO NOX 15.413 15.435 0.0219
10 US 55 79 241007800 WIS ELECTRIC PO NOX 6.068 6.072 0.0041
11 US 55 117 460033090 WP & L Alliant NOX 11.847 11.892 0.0456

12 US 55 123 663020930 DAIRYLAND POWER NOX 8.517 8.482

- 0.0343

----- -------- ------- -------- polid 120.325 110.404

- 9.9218

------------------------------------------------------------ polid=SO2

--------------------------------------------------------

-----

Obs cntryid stid cyid fcid name polid aceebase aceenew diff

13 US 19 139 70

- 01

- 011 MUSCATINE POWER SO2 6.237 11.178 4.9415
14 US 55 9 405031990 WI PUBLIC SERVI SO2 21.750 18.074

- 3.6753 15 US 55 21 111003090 Alliant Energy

- SO2 74.796 74.988 0.1924
16 US 55 25 113004430 MADISON GAS & E SO2 16.331 0.063

- 16.2672 17 US 55 43 122014530 Alliant Energy

- SO2 42.604 42.640 0.0362
18 US 55 59 230006260 WIS ELECTRIC PO SO2 12.336 9.850

- 2 .4867
19 US 55 71 436035930 MANITOWOC PUBLI SO2 9.949 3.001

- 6.9477
20 US 55 79 241007690 WIS ELECTRIC PO SO2 41.189 41.210 0.0207

21 US 55 79 241007800 WIS ELECTRIC PO SO2 21.360 21.430 0.0699
22 US 55 123 663020930 DAIRYLAND POWER SO2 3.785 3.716

- 0.0694

----- -------- ------- -------- polid 250.336 226.151

- 24.1856

======== ======= ======== 370.662 336.554

- 34.1074

## This page left intentionally blank.

# APPENDIX J

Modeling Summary

 PM 2.5 

# Design Value Trends

 Lake Michigan Air Directors Consortium (LADCO) Modeling Results for Lake and Porter Counties, Indiana

 Regional/Emission Sector Particulate Source Apportionment Technology (PSAT) Results for Lake and Porter Counties, Indiana

 Speciated Contributions to PM 2.5 

# Concentrations in Lake and Porter Counties, Indiana

 Distribution of PM 2.5 

# Concentration Days using Air Quality Index (AQI) Levels

# This page left intentionally blank.

## J-1 PM 2.5 

## Design Value Trends for Lake and Porter Counties, Indiana, 2000 through 2010

LADCO Round 6 Modeling Results for Lake and Porter Counties, Indiana
for 2015 and 2018 11.0 12.0 13.0 14.0 15.0 16.0 17.0 18.0

00

‐ 04 01

‐ 05 02

‐ 06 03

‐ 07 04

‐ 08 05

‐ 09 06

‐ 10Concentrations(ug/m3)



### Design Value Years

East Chicago Gary ‐ IITRI Gary ‐ Burr St.
Griffith Gary ‐ Madison Street Gary ‐ Ivanhoe
Hammond ‐ Clark HS Dunes Natl. Lakeshore Ogden Dunes
Annual Standard

10.0 11.0 12.0 13.0 14.0 15.0 16.0

2003

‐ 2007 2012 2018Concentrations(ug/m3)



### Design Value Years

East Chicago Griffith Gary ‐ Madison St.

Gary ‐ Ivanhoe Hammond ‐ Purdue Hammond ‐ Clark HS

Dunes Natl. Lakeshore Ogden Dunes Annual Standard

## J-2 Regional/Emission Sector PSAT Results

East Chicago – Franklin School PM 2.5 

### Monitor, Lake County, Indiana

Griffith PM 2.5 

### Monitor, Lake County, Indiana

## J-3 Gary – Ivanhoe School PM 2.5 

### Monitor, Lake County, Indiana

Hammond – Purdue PM 2.5 

### Monitor, Lake County, Indiana

## J-4 Gary – Clark High School PM 2.5 

### Monitor, Lake County, Indiana

Dunes National Lakeshore PM 2.5 

### Monitor, Porter County, Indiana

## J-5 Ogden Dunes PM 2.5 

### Monitor, Porter County, Indiana

## J-6 Modeled Contributions by Specie at th e East Chicago – Franklin School
PM 2.5 

## Monitor

so4
26%

no3
14%

oc 25% ec 5% soil
4%

nh4
13% pbw
10% blan
4% 

## Observed 2005 Contributions at the East Chicago - Franklin School PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4
pbw

blan

so4
23%

no3
14%

oc 28% ec 5% soil
6%

nh4
12% pbw
8% blan
4% 

## 2009 Modeled Contributions at the East Chicago - Franklin School PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

## J-7 Modeled Contributions by Specie at the Griffith PM 2.5 

## Monitor

so4
27%

no3
14%

oc 24% ec 4% soil
4% nh4
13% pbw
10% blan
4% 

## Observed 2005 Contributions at the Griffith PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

so4
24%

no3
15%

oc 27% ec 4% soil
5%

nh4
12% pbw
9% blan
4% 

## 2009 Modeled Contributions at the Griffith PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

## J-8 Modeled Contributions by Specie at the Gary – Madison Street PM 2.5 

## Monitor

so4
27%

no3
12%

oc 24% ec 7% soil
4%

nh4
12% pbw
10% blan
4% 

## Observed 2005 Contributions at the Gary - Madison Street
PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

so4
23%

no3
13%

oc 27% ec 7% soil
5%

nh4
12% pbw
9% blan
4% 

## 2009 Modeled Contributions at the Gary - Madison Street
PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

## J-9 Modeled Contributions by Specie at the Gary - Ivanhoe School PM 2.5 

## Monitor

so4
27%

no3
12%

oc 24% ec 7% soil
4%

nh4
13% pbw
9% blan
4% 

## Observed 2005 Contributions at the Gary - Ivanhoe School
PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4
pbw

blan

so4
24%

no3
13%

oc 27% ec 7% soil
6% nh4

11% pbw
8% blan
4% 

## 2009 Modeled Contributions at the Gary - Ivanhoe School PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

## J-10 Modeled Contributions by Speci e at the Hammond - Purdue PM 2.5 

## Monitor

so4
26%

no3
14%

oc 24% ec 5% soil
4% nh4
13% pbw
10% blan
4% 

## Observed 2005 Contributions at the Hammond - Purdue
PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

so4
23%

no3
15%

oc 27% ec 5% soil
6%

nh4
12% pbw
8% blan
4% 

## 2009 Modeled Contributions at the Hammond - Purdue
PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

## J-11 Modeled Contributions by Specie at the Hammond – Clark High School PM 2.5 

## Monitor

so4
26%

no3
14%

oc 23% ec 5% soil
5% nh4
13% pbw
10% blan
4% 

## Observed 2005 Contributions at the Hammond - Clark High School
PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

so4
23%

no3
14%

oc 26% ec 5% soil
7%

nh4
12% pbw
9% blan
4% 

## 2009 Modeled Contributions at the Hammond - Clark High
School PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

## J-12 Modeled Contributions by Specie at the Dunes National Lakeshore PM 2.5 

## Monitor

so4
26%

no3
14%

oc 23% ec 5% soil
5% nh4
13% pbw
10% blan
4% 

## Observed 2005 Contributions at th e Dunes National Lakeshore PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

so4
23%

no3
14%

oc 26% ec 5% soil
7%

nh4
12% pbw
9% blan
4% 

## 2009 Modeled Contributions at th e Dunes National Lakeshore PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

## J-13 Modeled Contributions by Specie at the Ogden Dunes PM 2.5 

## Monitor

so4
26%

no3
14%

oc 23% ec 5% soil
5% nh4
13% pbw
10% blan
4% 

## Observed 2005 Contributions at the Ogden Dunes PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

so4
23%

no3
14%

oc 26% ec 5% soil
7%

nh4
12% pbw
9% blan
4% 

## 2009 Modeled Contributions at the Ogden Dunes PM 2.5 

## Monitor

so4

no3

oc

ec

soil

nh4

pbw

blan

## J-14 Distribution of PM 2.5 

## Concentration Days on the AQI Le vels of Health Concern, Lake and Porter Counties, Indiana

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%

2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010PercentageofYear



### Year

Good Moderate USG