1

Appendix E 

Emissions Inventory Summary used for the 

VISTAS-ASIP Modeling 
Last Revised: 10/30/08 (during comment period) 

2002

Cincinnati-Middletown

OH-KY-IN (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Poi

INDIANADearborn 901 755 1,197 257 3,110 19,274 145 1,979 569 21,967 65,287 261 82 50 65,680 IN Total 901 755 1,197 257 3,110 19,274 145 1,979 569 21,967 65,287 261 82 50 65,680 KENTUCKYBoone 884 3,136 2,306 1,621 7,947 6,703 1,893 4,088 3,973 16,657 15,769 1,048 150 557 17,524 Campbell 186 1,882 1,313 519 3,900 55 532 1,979 1,989 4,555 1 467 78 277 823 Kenton 264 3,448 2,368 832 6,912 20 1,585 3,682 2,832 8,119 18 1,190 155 310 1,673 KY Total 1,334 8,466 5,987 2,972 18,759 6,778 4,010 9,749 8,794 29,331 15,788 2,705 383 1,144 20,020 OHIOButler 1072 3763 5673 2039 12547 6287 795 6864 3924 17870 10156 391 358 344 11249 Clermont 168 2072 3340 1177 6757 39818 536 4663 1629 46646 91617 227 239 160 92243 Hamilton 442 10890 17631 4895 33858 21710 2691 21402 7220 53023 92769 698 1111 606 95184 Warren 101 2070 2776 1299 6246 905 513 3883 2133 7434 1 209 194 212 616 OH Total 1783 18795 29420 9410 59408 68720 4535 36812 14906 124973 194543 1525 1902 1322 199292 Total Emissions 4,018.00 28,016.00 36,604.00 12,639.12 81,277.12 94,772.00 8,690.00 48,540.00 24,269.13 176,271.13 275,618.00 4,491.00 2,367.00 2,515.82 284,991.82 

Louisville

KY-IN (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Poi

KENTUCKYBullitt 2,689 984 1,483 506 5,662 221 51 2,979 578 3,829 391 93 89 50 623 Jefferson 4,959 3,205 14,567 4,171 26,902 25,915 234 25,864 10,989 63,002 41,483 0 917 1,429 43,829 KY Total 7,648 4,189 16,050 4,678 32,565 26,136 285 28,843 11,567 66,831 41,874 93 1,006 1,479 44,452 INDIANAClark 1,107 2,343 2,279 670 6,399 1,687 400 3,364 3,180 8,631 3,158 721 152 269 4,300 Floyd 305 1,596 1,531 455 3,887 6,145 321 2,255 894 9,615 58,929 694 102 80 59,805 Jefferson 296 767 728 273 2,064 28,503 146 961 553 30,163 38,197 351 42 49 38,639 IN Total 1,708 4,706 4,538 1,398 12,350 36,335 867 6,580 4,627 48,409 100,284 1,766 296 398 102,744 Total Emissions 9,356.00 8,895.00 20,588.00 6,075.72 44,914.72 62,471.00 1,152.00 35,423.00 16,193.72 115,239.72 142,158.00 1,859.00 1,302.00 1,876.67 147,195.67 

Ashland-Huntington

KY-WV-OH (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Poi

KENTUCKYBoyd 3,083 780 991 312 5,165 7,046 40 1,213 3,319 11,618 9,711 542 54 482 10,789 Lawrence 98 374 409 223 1,104 17,129 87 785 726 18,727 48,874 96 30 85 49,085 KY Total 3,181 1,154 1,400 535 6,270 24,175 127 1,998 4,045 30,345 58,585 638 84 567 59,874 WEST VIRGINIACabell 97 3636 2210 841 6785 247 716 2988 1958 5908 124 1420 122 112 1778 Mason 236 1310 573 519 2638 26815 349 701 1545 29410 85418 119 32 83 85652 Wayne 285 1398 875 432 2989 3313 174 1089 3050 7626 288 479 48 162 977 WV Total 618 6344 3658 1792 12412 30375 1240 4778 6552 42945 85830 2018 203 356 88407 OHIOAdams 268 334 611 150 1363 54917 112 917 494 56440 137,241 43 44 45 137373 Gallia 293 385 587 198 1463 68,963 112 864 538 70477 106,286 37 42 45 106410 

Lawrence 0 604 1815 220 2639 0 216 2336 1037 3589 0 70 112 86 268 Scioto 197 993 1423 610 3223 755 220 1991 1706 4672 25 77 96 137 335 OH Total 758 2316 4436 1178 8688 124635 660 6108 3775 135178 243552 227 294 313 244386 Total Emissions 4556.53 9813.72 9494.00 3505.28 27369.53 179184.61 2026.79 12884.24 14372.56 208468.20 387966.64 2883 580.98 1236.41 392666.91 

Numbers are primarily from the Regional Haze submittal. 01-25-08To understand the cell formulas, note that (for VISTAS states) fire and area emissions were combined into this table's area emissions.Also regarding cell formulas, for nonVISTA states, IN and OH, EGU and non-EGU emissions had to be combined into this table's point emissions (BaseM provided them to DAQ as separate emission points)

SOx 

VOC NOx SOx VOC NOx SOx VOC NOx 
Last Revised: 10/30/08 during comment period 

2009

Cincinnati-Middletown

OH-KY-IN (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Tota

INDIANADearborn 1,347 780 690 184 3,001 13,332 152 1,200 459 15,143 40,862 252 9 9 IN Total 1,347 780 690 184 3,001 13,332 152 1,200 459 15,143 40,862 252 9 9 KENTUCKYBoone 913 3,367 4,352 1,441 10,073 1,405 2,017 3,517 3,768 10,707 2,247 1,077 21 420 Campbell 206 1,736 2,662 385 4,989 63 563 1,725 1,823 4,174 1 484 11 197 Kenton 293 3,206 5,587 587 9,673 22 1,677 3,299 2,539 7,537 20 1,222 20 173 KY Total 1,412 8,309 12,601 2,413 24,735 1,490 4,257 8,541 8,130 22,418 2,268 2,783 52 790 OHIOButler 1315 4165 3231 1332 10043 4528 913 4183 2844 12468 6190 526 35 61 Clermont 292 2336 1877 847 5352 14583 605 2786 1330 19304 46321 302 23 28 Hamilton 1099 11469 9753 3370 25691 7789 3032 12453 5466 28740 27447 1019 106 107 Warren 195 2475 1554 967 5191 1093 579 2296 1646 5614 3 279 19 37 OH Total 2901 20445 16415 6516 46277 27993 5129 21718 11286 66126 79961 2126 183 233 Total Emissions 5,660.00 29,534.00 29,706.20 9,113.00 74,013.20 42,815.00 9,538.00 31,459.00 19,875.00 103,687.00 123,091.00 5,161.00 244.00 1,032.00 

Louisville

KY-IN (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Tota

KENTUCKYBullitt 2,822 982 1,079 564 5,447 236 57 2,161 490 2,944 401 97 14 8 Jefferson 4,637 3,093 10,582 3,063 21,375 20,475 234 14,510 9,785 45,004 43,688 0 112 921 KY Total 7,459 4,075 11,661 3,627 26,822 20,711 291 16,671 10,275 47,948 44,089 97 126 929 INDIANAClark 1,123 2,359 1,241 569 5,292 2,396 421 1,963 2,952 7,732 3,459 687 17 49 Floyd 180 1,692 835 302 3,009 6,981 338 1,321 683 9,323 28,295 659 11 14 Jefferson 239 812 415 229 1,695 8,457 153 593 490 9,693 14,563 334 5 9 IN Total 1,542 4,863 2,491 1,100 9,996 17,834 912 3,877 4,125 26,748 46,317 1,680 33 72 Total Emissions 9,001 8,938 14,152 4,727 36,818 38,545 1,203 20,548 14,400 74,696 90,406 1,777 159 1,001 

Ashland-Huntington

KY-WV-OH (tons per year) Point Area Mobile Nonroad Total Point Area Mobile Nonroad Total Point Area Mobile Nonroad Tota

KENTUCKYBoyd 3,259 775 613 256 4,903 7,281 46 774 3,107 11,208 10,432.00 578 6 380 Lawrence* 119 357 269 271 1,016 5,730 93 528 664 7,015 47,739.00 102 4 52 KY Total 3,378 1,132 882 527 5,919 13,011 139 1,302 3,771 18,223 58,171.00 680 10 432 WEST VIRGINIACabell 95 3315 1203 820 5432 250 737 1633 1849 4469 123 1528 13 19 Mason 275 1217 340 394 2226 15238 377 439 1454 17507 56691 122 4 14 Wayne 252 1251 465 356 2324 2683 180 581 2962 6406 277 517 5 34 WV Total 622 5783 2008 1570 9982 18170 1294 2653 6265 28381 57091 2167 21 66 OHIOAdams 297 394 342 151 1184 7393 123 544 458 8518 22422 55 4 8 Gallia 282 453 328 189 1252 9437 125 514 469 10545 21807 50 4 8 Lawrence 85 701 996 166 1948 180 241 1352 846 2619 0 94 11 15 Scioto 229 1113 790 641 2773 497 242 1177 1302 3218 918 108 9 25 OH Total 893 2661 2456 1147 7157 17507 731 3587 3075 24900 45147 307 28 56 Total Emissions 4893.04 9576.00 5345.51 3243.57 23058.13 48,688.40 2,163.65 7,541.65 13,110.60 71,504.30 160,408.62 3,153.50 59.25 554.36 

Numbers are primarily from the Regional Haze submittal 01-25-08. For VISTAS states, fire and area emissions combined into this table's area emissions. For nonVISTA states received from MRPO, IN and OH, EGU and non-EGU emissions received separately were combined into this table's point emissions. IN and OH have been revised to reflect *KY's Lawrence County 2009 numbers were changed (increased) for Point NOx and Point Sox to reflect that the AEP scrubbers would not be installed prior to 2009, per Martin. 03-19-08

VOC NOx SOx VOC NOx SOx VOC NOx SOx 
Atmospheric Sciences Group 

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 

MEMORANDUM 

To: Pat Brewer, VISTAS 

From: Gregory Stella, Alpine Geophysics, LLC 

Re: Conversion of MRPO BaseM Point Source Data to SMOKE Input Format 

Date: 4 February 2008 

The Midwest Regional Planning Organization (MRPO) periodically produces a five State emission inventory for 

Illinois, Indiana, Michigan, Wisconsin, and Ohio. These data are used as the basis for various MRPO modeling and 

regulatory analyses. These data are prepared with the help of each State’s emission inventory divisions and are felt 

to be the most representative account for emissions activities for those States at any one time. 

The most recent version prepared and distributed by MRPO is currently called BaseM. Associated with this 2005 

base year inventory release is a set of growth and control factors that are used to additionally simulate future year 

conditions under “On-The-Books” (base case or known control programs requirements to be implemented in future 

years) or incremental control situations to test sensitivity or strategies which would be implemented in whole or in 

part during the same future years. 

The purpose of this document is to detail the technical steps that were made as part of the conversion of the MRPO 

BaseM point sources files (electric generating unit [EGU] and non-EGU) into IDA format for ASIP PM-2.5 

modeling of the future year 2009. Because of the timing and complications relative to converting multiple and 

various emission files for all source types, it was determined that only point source emissions would be converted 

for processing at this time. 

Data Sources and Description

A series of data files and associated documentation was obtained from MRPO staff in 2007. These files were the 

input data sets for base year 2005 and growth and control factors related to MRPO’s BaseM and Round 5 

inventories1

. Because of the emission processing tools that MRPO currently executes for its analyses, these files are 

in formats that are not read by the SMOKE emissions processor currently in use by VISTAS/ASIP modelers 

(contract teams and participating states). Alpine Geophysics, under the Emissions Inventory Technical Advisor 

contract, was asked to obtain and convert these data into the formats that could be used by these modeling agencies. 

Through additional contact with MRPO staff, the base year 2005 non-EGU point source files and associated growth 

and control factors necessary to forecast the data to 2009 base case conditions were identified and extracted from the 

originally provided data. EGU sources were identified to be already prepared for the future year (2010 substituted 

for 2009) and were based on recent IPM 3.0 model runs with incremental adjustment made by MRPO states to best 

reflect expected emission controls and operating conditions. The “will do” simulation series for EGUs was identified 

as “egu5b_2010.” 

The main purpose of the SMOKE conversion task was to prepare five state emission inventories provided in 

National Input Format (NIF) format into the IDA format required by the SMOKE model for the criteria pollutants 

VOC, NOx, CO, SO2, PM-10, PM-2.5, and NH3. Annual emissions were taken directly from the NIF structured 

inventories with no alternate temporal calculations performed (e.g., estimate seasonal emissions from annual or 

annual from seasonal). The temporal allocation module of the SMOKE emissions processor was intended to be used 

to further define temporal distribution of these emissions. 

No quality assurance (QA) related to the reported values in the MRPO was conducted (e.g., it was assumed that 

reported emission levels were correct) and therefore the QA focus of these tasks was to maintain the integrity of the 

mass files in the conversion to IDA. 

Each set of NIF structured data had a unique set of relational tables necessary to maintain the information required 

in each source sector based on its reporting requirements. Alpine had previously developed scripts to read the 

information from each of these relational data sets and convert them to the IDA structures required by this task. 

 

1

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

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 

Prior to and after each major source sector was converted from NIF to IDA, we developed a list of emission 

summary reports to check that the emissions input into the conversion process were the same as output into the IDA 

formatted files. 

Non-EGU Point Source Conversion 

Non-EGU point source emissions from 2005 BaseM were converted to future year 2009 IDA format using the 

annual emission records directly from the NIF structured data sets and associated SCC growth factors and unit, 

facility, county, state, or nationally applied controls2

. These controls were applied in a hierarchical fashion starting 

with the most defined (unit-segment-pollutant level) through least defined (national-SCC-pollutant) and when a 

match was found during the implementation, no additional controls were sought or applied to that emission record. 

In other words, if a match were found at the unit-segment level of control, no additional controls were applied to that 

segment/pollutant combination again in the forecast process. This prevented multiple control programs from being 

implemented when the intent of the originally provided control files were to assign a single applicable reduction. 

The Round 5 factors for point sources provided by MRPO were in the RPO Data Exchange Format (RPODx) and 

had growth and control factors available at the State, county, plant, unit, segment, stack, and SCC level of detail. In 

order to apply these factors in a fashion consistent with that of the MRPO utilized processing system and duplicative 

of how MRPO would have generated its BaseM forecasts, a hierarchical approach was utilized to match and assign 

growth and control values. 

Growth Factor Application 

Using the 2005 EM table from the BaseM inventory files in NIF format, we first selected each emissions record for 

forecasting. In this conversion case, these EM records were limited to those emissions identified as annual using the 

NIF coding convention. As noted in the limitations section below, there oftentimes were emissions provided by 

MRPO in a summer season convention. 

We next selected the base year for application as the RPODx for growth rates allows for the flexibility of input 

growth factors for multiple base year inventories. In this assignment, the base year was always 2005, as that was the 

base year provided by MRPO and the future year was 2009, as selected by ASIP. 

The next step was to determine the growth basis for each individual emission record of the file. This “growth basis” 

is the key with which the growth factor is associated. For point sources, this key is based on a combination of FIPS, 

SCC, and pollutant codes. Multiple keys are calculated for each individual emission record and that key with the 

highest resolution of matching to the growth factor file using the hierarchy identified in Table 1 below is the one 

chosen to assign a growth rate to the base year emissions. 

Table 1. Point Source Growth Factor Application Hierarchy.

Order Key or “Growth/Control Basis” 

1 state/county code, 10-digit SCC, pollutant 

2 state/county code, 10-digit SCC 

3 state code, 10-digit SCC, pollutant 

4 state code, 10-digit SCC 

5 state/county code, pollutant 

6 state/county code 

7 state code, pollutant 

8 state code 

9 10-digit SCC, pollutant 

10 10-digit SCC 

11 Pollutant 

 

2

http://www.ladco.org/tech/emis/r5/reports/LADCO%202005%20Base%20Yr%20Growth%20and%20Controls%20

Report_Final.pdf 
Atmospheric Sciences Group 

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 

Using the hierarchical application, growth basis, and dates (base year and alternate year), we matched each emission 

record to the growth table to obtain a growth factor. The factors are defined in the growth table as a multiplier for 

the base year period that calculates the alternate year of interest. In other words, multiplying the base year emissions 

value by the growth factor provides you with the emissions for the alternate year of interest. 

When no match from any of the hierarchical keys was identified, a growth rate of 1.00 (no growth) was assigned. 

This maintained the 2005 emission level in the future year inventory. 

Control Factor Application 

Similar to the process identified above for the assignment and application of growth factors, the control factor 

assignment was based on a hierarchical key, this time, however, using FIPS, plantid, pointid, stackid, segment, SCC, 

and pollutant codes applied in a parallel process to the growth factor assignment. 

Using the 2005 EM table from the BaseM inventory files in NIF format, we selected each annual emissions record 

for forecasting. We next selected the base year for application, and again, the base year was always 2005, as that 

was the base year provided by MRPO. 

Once the base year was identified, we determined the alternate year for our forecast. Depending on the specific year 

used in each conversion, growth rates were limited to those with a base year of 2005 and a future year less than or 

equal to that of our forecast. This variation in method is intended to allow us to identify all controls implemented 

prior to or during the year of interest and will consider them as viable options at the latest provided level of control. 

In other words, since we selected 2009 as the future year of choice, we limit the control factor table to control 

strategies implemented during or prior to 2009. If in our matching to the control factor table we find that for a 

certain control basis key there is no match because a program may have been fully implemented in a prior year (say 

2007), then we do not want to exclude this reduction from our forecast. Additionally, if we find that there are 

multiple entries in the control factor table because of incremental implementation of a rule, we select the closest year 

to that of our intended forecast. So if a particular rule was incrementally implemented from 2005 through 2009 and 

there were control records available for each year in between, we would select the record with the latest year to 

apply in our forecast. 

The next step was to determine the control basis for each individual emission record of the file. This “control basis” 

is the key with which the control strategy or technology is associated. Although we developed code to support the 

hierarchical application of control factors for the BaseM emissions, all control factors provided by MRPO in the 

Round 5 files were segment-SCC-pollutant specific. This eliminated the need for a search on the key that has the 

greatest resolution as all matches were at the segment-SCC-pollutant level. 

Using the control basis and dates (base year and alternate year), we matched each emission record to the control 

table to obtain a control factor. The factors are defined in the control table as a group of values (control efficiency, 

rule effectiveness, and rule penetration) for the future year period that gets assigned to an uncontrolled future year 

emission value. In other words, we first “backed out” existing base year controls from our future year emissions 

estimate and then multiplied this uncontrolled value by the control factors for the alternate year of interest. These 

calculations are defined in Equations 1 and 2 below. 

Equation 1. Uncontrolled emissions calculation. 

Emiss Unc= Emiss Base / (1-((CE Base /100)*(RE Base /100)*(RP Base /100))) 

Where, 

Emiss Unc = Uncontrolled emissions 

Emiss Base = Base year emissions 

CE Base = Base year control efficiency 

RE Base = Base year rule effectiveness 

RP Base = Base year rule penetration 

 
Atmospheric Sciences Group 

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 

Equation 2. Application of new control calculation. 

Emiss New = Emiss Unc *(1-((CE New /100)*(RE New /100)*(RP New /100))) 

Where, 

Emiss New = Future year emissions 

Emiss Unc = Uncontrolled emissions 

CE New = Future year control efficiency 

RE New = Future year rule effectiveness 

RP New = Future year rule penetration 

When no match from any of the hierarchical keys was identified, the same control efficiency, rule efficiency, and 

rule penetration values from the base year inventory were used in the calculation and the only change in emissions 

would have been the result of growth factor application. In instances where PM-10 annual emissions were found to 

be less than PM-2.5 annual emission values, the PM-2.5 emission values were changed to equal that of PM-10. 

EGU Point Source Conversion 

EGU point source emissions from the egu5b_2010 scenario (2010 IPM 3.0 run with modifications) were converted 

to year 2009 IDA format using the annual emission records directly from the NIF structured data sets. Since these 

emissions already accounted for growth and control application, no additional modifications were required. 

One ASIP requested modification was to adjust the 2009 file to match W. H. Sammis facility’s planned response to 

the control requirements from the consent decree USA vs. Ohio Edison; Civil Action No: 2:99-CV-1181; March 18, 

2005. These adjustments for SO2 are noted in Table 2 below. 

Table 2. SO2 Control Requirements from USA vs. Ohio Edison Consent Decree 

Units 1-4 Induct Scrubbing 

 50% removal (1.1 lbs/MMBtu) 

 At least one unit by Sept. 30, 2008 

 Second unit by Dec. 31, 2008 

 Other two units by Dec. 31, 2009 

 

Unit 5 Flash Dryer Absorber or Electro-Catalytic Oxidation no later than Dec. 31, 2008 

 50% removal (1.1 lbs/MMBtu) 

 

Units 6/7 Scrubber no later than December 31, 2010 

 95% removal (0.13 lbs/MMBtu) 

 

Plantwide Emission cap of 101,500 by end of 2009 

 Emission cap of 101,500 by end of 2010 

 Emission cap of 29,900 by end of 2011 

Conversion Limitations

As noted above, Alpine limited our conversion to all records in the MRPO point source files that were identified as 

annual. In some cases the MRPO NIF files had additional non-annual summer season emission records configured 

as a higher percentage than the annual average that was used in our emissions comparison. 

In other words, the MRPO file sometimes had two emission record types that it uses for its modeling; one for the 

summer period and one for the rest of the year. Since SMOKE uses temporal allocation factors to make this 

summer/winter split, our converted values do not match MRPO's summertime reports. We see a high percentage 

difference in the Alpine converted data compared to the MRPO output reports in these two States for the July 12 

example for this reason. 
Atmospheric Sciences Group 

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 

Since we confirmed this difference and reason for this difference in the 2005 data sets with MRPO, our objective for 

QA on the projections also included delta emissions from the projection year to the base year. Although the absolute 

daily emission values (in tpd) were found to be different as noted above, in all cases, the difference between 2005 

and the projection year calculations as made by Alpine was within confidence ranges of the ratio of future year to 

base year as posted by MRPO. See Table 3 below. For this reason, we were convinced that our projection 

methodology is capturing the growth and control factors that MRPO applied in its emissions modeling.
Atmospheric Sciences Group 

Alpine Geophysics, LLC -- 387 Pollard Mine Road -- Burnsville, NC 28714 -- (828) 675-9045 

Table 3. Emissions Comparison of ASIP Converted and MRPO Non-EGU Emissions. 

Comparison of ASIP Converted and MRPO Non-EGU EmissionsFIPSST State VOC NOX CO SO2 PM-10 PM-2.5 NH317 Illinois 61,760 85,142 71,725 150,506 20,315 6,256 1,05918 Indiana 48,287 65,132 339,642 82,040 22,118 12,774 78226 Michigan 36,753 85,014 67,564 55,435 13,235 6,567 78839 Ohio 31,530 67,275 212,626 116,942 15,930 10,443 3,23955 Wisconsin 31,377 36,827 43,014 60,955 456 43 346

MRPO 209,707 339,390 734,570 465,878 72,054 36,082 6,214

FIPSST State VOC NOX CO SO2 PM-10 PM-2.5 NH3 FIPSST State VOC NOX CO SO2 17 Illinois 222.3 315.1 250.9 412.3 55.6 17.1 2.9 17 Illinois 218.1 217.8 255.7 335.0 18 Indiana 132.3 178.4 930.5 224.8 60.6 35.0 2.1 18 Indiana 137.2 175.2 888.8 216.2 26 Michigan 115.8 232.4 193.6 144.9 40.8 19.3 2.4 26 Michigan 119.1 242.0 206.5 148.6 39 Ohio 86.4 184.3 582.5 320.4 43.6 28.6 8.9 39 Ohio 87.1 166.3 540.7 288.0 55 Wisconsin 86.0 100.9 117.8 167.0 1.3 0.1 0.9 55 Wisconsin 87.7 92.9 120.0 152.1 

MRPO 642.7 1,011.1 2,075.4 1,269.4 202.0 100.2 17.2 MRPO 649.2 894.2 2,011.7 1,139.9 

FIPSST State VOC NOX CO SO2 PM-10 PM-2.5 NH3 FIPSST State VOC NOX CO SO2 17 Illinois 29.5% 25.1% 9.8% 32.3% 28.2% 17.3% 17.0% 17 Illinois 33.6% 24.4% 12.7% 29.4% 18 Indiana 23.0% 19.2% 46.2% 17.6% 30.7% 35.4% 12.6% 18 Indiana 21.1% 19.6% 44.2% 19.0% 26 Michigan 17.5% 25.0% 9.2% 11.9% 18.4% 18.2% 12.7% 26 Michigan 18.3% 27.1% 10.3% 13.0% 39 Ohio 15.0% 19.8% 28.9% 25.1% 22.1% 28.9% 52.1% 39 Ohio 13.4% 18.6% 26.9% 25.3% 55 Wisconsin 15.0% 10.9% 5.9% 13.1% 0.6% 0.1% 5.6% 55 Wisconsin 13.5% 10.4% 6.0% 13.3% 

MRPO 100% 100% 100% 100% 100% 100% 100% MRPO 100.0% 100.0% 100.0% 100.0% 

ASIP 2009 July 12 Summer Daily Emissions (% of MRPO Total) 2009 July 12 Summer Daily Emissions 

ASIP 2009 Annual Emissions (Tons/Year)

ASIP 2009 July 12 Summer Daily Emissions (Tons/Day) 2009 July 12 Summer Daily Emis