1

Technical Support Document (TSD) 

for the Transport Rule 

Docket ID No. EPA-HQ-OAR-2009-0491 

Analysis to Quantify Significant Contribution 

U.S. Environmental Protection Agency 

Office of Air and Radiation 

July 2010 
2

This Technical Support Document (TSD) provides information that supports the 

EPA’s analysis to quantify upwind state emissions that significantly contribute to 

nonattainment or interfere with maintenance of the National Ambient Air Quality 

Standards (NAAQS) in downwind states. The analysis is described in detail in section 

IV.D in the preamble to the proposed Transport Rule. This TSD is organized as follows: 

A. Background on EPA’s Analysis to Quantify Emissions that Significantly Contribute 

or Interfere with Maintenance 

B. Electric Generating Unit Significant Contribution Cost Analysis 

C. Analysis of Significant Contribution Using the Air Quality Assessment Tool (AQAT) 

1. Introduction: Use and development of the air quality assessment tool 

2. Details on the construction of the air quality assessment tool 

3. Description of the results of the analysis using AQAT for the proposed 

approach 

4. Comparison between the air quality assessment tool estimates and CAMx air 

quality modeling estimates 

A. Background on EPA’s Analysis to Quantify Emissions that Significantly Contribute 

or Interfere with Maintenance

Preamble section IV describes EPA’s proposed approach to determine upwind 

state’s emissions that significantly contribute to nonattainment or interfere with 

maintenance downwind with respect to the existing 1997 and 2006 PM2.5 NAAQS and 

the 1997 ozone NAAQS. As described in the preamble, the approach uses air quality 

analysis to identify monitoring sites with nonattainment and maintenance problems for 

the PM2.5 and ozone NAAQS. As further described in the preamble, the approach also 

uses air quality analysis to identify upwind states whose contributions to downwind air 

quality monitoring sites with nonattainment and maintenance problems exceed specified 

threshold amounts. See section IV.C in the preamble for a detailed discussion of these air 

quality analyses. Also see the Air Quality Modeling TSD. 

Next, the approach would quantify the portion of each upwind state’s contribution 

that constitutes its significant contribution and interference with maintenance. Section 
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IV.D in the preamble describes the methodology that EPA developed to quantify these 

emissions. Section IV.E in the preamble includes state emissions budgets (before 

accounting for inherent variability in power system operations). Section IV.F discusses 

variability in power system operations and proposes variability limits on the state 

budgets. Section IV.G describes how the proposed approach to define significant 

contribution and interference with maintenance is consistent with judicial opinions. 

As discussed in the preamble, EPA’s proposed approach expands upon the 

methodology used in the NOX SIP Call and CAIR, but modifies it in significant respects. 

In the NOX SIP Call and CAIR, EPA’s methodology relied upon defining significant 

contribution as those emissions that could be removed with the use of “highly cost 

effective” controls. In the proposed Transport Rule, rather than relying solely on 

determining reductions based on “highly cost effective” controls, EPA uses a number of 

factors that account for both cost and air quality improvement. Furthermore, unlike the 

NOX SIP Call and CAIR where EPA only defined an amount of reductions needed to 

address significant contribution to nonattainment, EPA is proposing to define an amount 

of emissions reductions that addresses both significant contribution to nonattainment and 

interference with maintenance. 

The methodology takes into account both the D.C. Circuit Court’s determination 

that EPA may consider cost when measuring significant contribution, Michigan, 213 F.3d 

at 679, and its rejection of the manner in which cost was used in the CAIR analysis, 

North Carolina, 531 F.3d at 917. It also recognizes that the Court accepted -- but did not 

require -- EPA’s use of a single, uniform cost threshold to measure significant 

contribution. Michigan, 213 F.3d at 679. 

The methodology defines each state’s significant contribution and interference 

with maintenance as the emissions that can be eliminated for a specific cost. Unlike the 

NOX SIP Call and CAIR, where EPA’s significant contribution analysis had a regional 

focus, the methodology used in the Transport Rule proposal focuses on state-specific 

factors. The methodology uses a multi-step process to analyze costs and air quality 

impacts, identify appropriate cost thresholds, quantify reductions available in each state 

at those thresholds, and consider the impact of variability in electric generating unit 

(EGU) operations. 
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As described in preamble section IV.D, after identifying upwind-to-downwind 

linkages based on air quality contribution thresholds, EPA’s uses the multi-step process 

to quantify each state’s significant contribution and interference with maintenance. The 

first step in the process (after identifying upwind-to-downwind linkages) identifies the 

emissions projected to occur in each state at ascending costs per ton of emissions 

reductions. See section B in this TSD for discussion of the analysis used in this step. 

Next, the process uses an air quality assessment tool to estimate the impact of the upwind 

state reductions on downwind state air quality at different cost-per-ton levels. See section 

C in this TSD for discussion of the development and use of the air quality assessment tool 

used in this step. 

As further described in section IV.D, the methodology then examines costs of 

control and air quality information and, using a multi-factor assessment, determines the 

specific cost levels that define the amount of emissions that represent significant 

contribution to nonattainment and interference with maintenance in each upwind state. 

As discussed in the preamble, the factors considered include both air quality and cost 

considerations. Once EPA quantifies the emissions reductions available in each upwind 

state at the appropriate cost threshold, state emissions budgets are developed that 

represent the remaining emissions in a state, in an average year, after elimination of 

significant contribution and interference with maintenance. Variability limits are then 

identified for each state emissions budget to account for the inherent variability in power 

sector operations as described in preamble section IV.F. 

Preamble section IV.D discusses the above steps in detail and presents the 

resulting specific cost thresholds that define each state’s significant contribution and 

interference with maintenance. As explained in the preamble, emissions that can be 

reduced at or below the specified cost thresholds (which were determined using the 

multi-factor assessment) would be considered a state’s significant contribution and 

interference with maintenance. Preamble section IV.D explains that the methodology 

results in two different cost thresholds for SO2 reductions (for two different groups of 

states) reflecting the stringency of SO2 reductions necessary to eliminate each state’s 

significant contribution to nonattainment and interference with maintenance. The 
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methodology results in one cost threshold for annual NOX and one for ozone season NOX

reductions.1

As discussed in preamble section IV.D, the resulting cost threshold for SO2

reductions in the SO2 group 1 states is $2,000 per ton. The resulting cost threshold for 

SO2 reductions in the SO2 group 2 states is the cost at which EGUs operate all installed 

controls, continue to burn coals with sulfur contents consistent with what they were 

burning in 2009, and operate any additional controls they are currently planning to install 

by 2014. For annual NOX reductions the cost threshold is the cost at which EGUs 

operate all installed controls and operate any additional controls they are currently 

planning to install by 2014 (around $500 per ton). Similarly, the cost threshold for ozone 

season NOX reductions is $500 per ton. (Cost thresholds are in 2006 dollars.) 

Each of the steps in the multi-step process discussed previously is described in 

detail in preamble section IV. This TSD provides additional information in support of 

the step that analyzes cost. See section B, below. This TSD also provides additional 

information in support of the step that analyzes air quality impacts. See section C, below. 

B. Electric Generating Unit Significant Contribution Cost Analysis

As explained earlier, EPA used a multi-step process that defines each upwind 

state’s significant contribution and interference with maintenance as the emissions that 

can be eliminated for a specific cost. This section of the TSD describes EPA’s cost 

analysis. 

EPA began by analyzing the SO2, annual NOX, and ozone season NOX emissions 

reductions available from EGUs at various cost levels in each upwind state. EPA used 

version 3.02 EISA of the Integrated Planning Model (IPM) for this EGU cost analysis. 

See IPM Documentation in the docket for the Transport Rule; Docket ID No. EPA-HQOAR-2009-0491. The IPM is a multiregional, dynamic, deterministic linear 

programming model of the U.S. electric power sector that EPA uses to analyze cost and 

emissions impacts of environmental policies. 

As part of EPA’s IPM analysis for the proposed Transport Rule we modeled a 

Base Case scenario, i.e., a scenario absent any new controls that would be required for 

 

1

 As discussed in preamble section III.A, the EPA proposes to define the ozone season, for purposes of 

emissions reductions requirements in the Transport Rule, as May through September 
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the Transport Rule. The Base Case modeling is described in sections IV.A and IV.C in 

the preamble and in the IPM Documentation in the rulemaking docket. The Base Case 

modeling includes the Title IV SO2 cap and trade program; NOX SIP Call regional ozone 

season cap and trade program; settlements; and state and federal rules through February 

3, 2009. An important feature of this Base Case--as discussed in the preamble and the 

IPM documentation--is that it assumes that the Clean Air Interstate Rule (CAIR) is not in 

effect. 

Using IPM, the EPA modeled the emissions that would occur within each state at 

ascending costs per ton of emissions reductions. To do this, EPA designed a series of 

IPM runs that imposed increasing marginal costs for reduction of SO2, annual NOX, or 

ozone season NOX emissions and tabulated those projected emissions at each cost level. 

EPA refers to these tabulations as “cost curves” in preamble section IV.D. 

EPA constructed a series of IPM runs for this analysis by modifying the Base 

Case run to impose, for each state included in the control region, a marginal cost on all 

fossil-fuel-fired EGUs with a capacity above 25 MW.2

 In each of these runs we imposed 

the marginal costs starting in 2012 and continuing through 2014 and later years. For SO2

emissions, the lowest marginal cost that EPA modeled is $100 per ton and the highest is 

$2,400 per ton. For annual NOX emissions, the marginal costs modeled range from $500 

per ton to $2,500 per ton. For ozone season NOX emissions, the marginal cost modeled 

range from $500 per ton to $5,000 per ton. See Table A-1 in Appendix A for a list of 

IPM runs. 

In these IPM runs EPA imposed the marginal cost on all states in the modeled 

control region at once, both for the feasibility of analyzing 38 states and to prevent the 

results from merely reflecting generation shifts among states in response to emissions 

costs. Because of the time required to build advanced pollution controls, no new add-on 

controls such as SCR or scrubbers (other than those built in the Base Case) were allowed 

to be built in 2012 in these runs. These runs did allow low NOX burners to be built in 

2012. 

 

2

 For this series of IPM runs, EPA imposed these controls on the same region of states covered in the air 

quality modeling, i.e., the region extending from Texas northward to North Dakota and eastward to the East 

Coast and including 38 states (including the District of Columbia). 
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Each pollutant (SO2, ozone-season NOX, and annual NOX) was analyzed 

separately with no policy assumed for the other two (see Appendix Table A-1). For 

example, the SO2 runs did not include assumptions for NOX controls (beyond the NOX

policies in the Base Case). Besides providing simple interpretation of the results, this 

approach reflected the need to estimate emissions reduced for each pollutant relative to 

the Base Case. Even beyond obvious interactions between simultaneous annual and 

ozone season NOX requirements, reductions required for either NOX or SO2 may have 

influenced the cost of reducing the other pollutant, even as the requirements for both 

were being analyzed. This is especially relevant in 2012, when reduction requirements 

for one pollutant (i.e., SO2) could cause switching to gas-fired units and therefore greatly 

impact emissions of the other pollutant (i.e., NOX). 

Notably, these interactions have much smaller impacts at the cost levels 

ultimately determined through the significant contribution analysis (the cost levels are 

summarized in section A of this TSD, earlier). At $500 per ton of NOX, reductions result 

largely from operating post-combustion controls, which has little effect on SO2 emissions 

even in 2012. Conversely, SO2 requirements in 2014 are primarily met through add-on 

scrubbers at coal-fired plants and coal switching, neither of which affects NOX emissions 

significantly. 

The IPM-projected EGU emissions at each cost level are shown in Tables 1-1 

through 1-6. Tables 1-1 and 1-2 present annual NOX emissions for 2012 and 2014, 1-3 

and 1-4 present SO2 emissions for 2012 and 2014, and Tables 1-5 and 1-6 present ozone 

season NOX emissions for 2012 and 2014. The IPM runs are listed in Table A-1 in 

Appendix A. Table A-1 lists the name of each IPM run next to a description of the run. 

The runs themselves can be found in the rulemaking docket. In the preamble, the 

emissions are presented, rounded to the nearest thousand ton. In Tables 1-1 through 1-6, 

the emissions are presented, rounded to the nearest ton. 

EPA applied emissions results shown in Tables 1-1 through 1-6 in the use of an 

air quality assessment tool (AQAT) to estimate the impact that the combined reductions 

available from upwind contributing states and the downwind state, at different cost-perton levels, would have on air quality at downwind monitor sites that had nonattainment 

and/or maintenance problems. In AQAT, the emissions at each cost-per-ton level, were 
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taken directly from the IPM runs. Section C in this TSD describes EPA’s development 

and use of the AQAT and the results from our AQAT analysis. Section C also compares 

the AQAT results to those produced using the Comprehensive Air Quality Model with 

Extensions (CAMx). 

C. Analysis of Significant Contribution Using the Air Quality Assessment Tool

During the process of delineating an approach for defining significant 

contribution and interference with maintenance, it was clear that quantitative as well as 

qualitative methods were beneficial for understanding, evaluating, and rejecting (or 

accepting) the approaches. 

Quantitative methods were useful for evaluation of significant contribution 

approaches. In particular, it was obvious that air quality modeling, where emissions can 

be directly linked to estimated downwind air quality impacts, would be useful in the 

evaluation process. However, it was clear that time and resource limitations (in particular 

the amount of time needed to set up, run the CAMx model, and analyze the results for a 

single model run) would preclude the use of air quality modeling for all but a few 

situations. Since EPA was evaluating a range of different approaches, each with different 

possible emissions scenarios, it would not be possible to use air quality modeling to 

elucidate all cases. 

This fact led EPA to develop a simplified air quality assessment tool to estimate 

the downwind air quality impacts from different upwind emissions “test” scenarios. In a 

“test” scenario, the state-by-state emissions are specified following a potential significant 

contribution approach, and then the air quality impacts are found using the air quality 

assessment tool. The simplified tool allows the Agency to analyze many more potential 

scenarios than would otherwise be possible. The remainder of section C of this document 

will: 

 Present an introduction and overview of the air quality assessment tool 

(AQAT) 

 Describe the construction of the tool 

 Describe the results of the analysis for the proposed approach 

 Compare the results of a recent evaluation of AQAT estimates with CAMx 

(model) estimates for the proposed approach 
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 Describe some potential improvements. 

1. Introduction: Use and development of the air quality assessment tool.

EPA used AQAT to estimate the impact of the upwind emissions reductions on 

downwind ambient concentrations. While less rigorous than the air quality models used 

for attainment demonstrations, EPA believes this simplified tool is acceptable for 

estimating the air quality impacts of upwind emissions reductions in the process of 

assessing numerous approaches and options for defining significant contribution3. A 

step-by-step description of the tool is found in section C.2 of this document. 

A critical factor in AQAT is the establishment of a relationship between 

emissions reductions and reductions in downwind air quality impacts. For the purposes 

of using a tool to compare the potential impacts of iterative emissions reductions on air 

quality, we assume that changes in air quality contributions are proportional to changes in 

emissions. Specifically, in AQAT: 

 A reduction in SO2 emissions leads to a proportional decrease in downwind 

PM2.5 sulfate contributions; 

 A reduction in NOX emissions leads to a proportional decrease in downwind 

PM2.5 nitrate contributions; 

 A reduction in NOX emissions leads to a proportional decrease in downwind 

ozone contributions. 

In AQAT, the base relationships between upwind emissions and downwind air quality 

are defined using the 2012 base case air quality modeling. As described in section IV.C 

of the preamble, we established a unique relationship between pollutant emissions from 

each upwind state and the estimated air quality impact at each downwind air quality 

monitor for the 2012 base case emission scenario using the CAMx air quality model with 

 

3

 Different variations of the tool were developed to help explore many of the alternative approaches for 

significant contribution that were evaluated. The proportional relationship between state-by-state pollutant 

emissions and the downwind air quality affect of those emissions on a particular monitor was constant 

among all variations of the tool. The variations of the tool differed from each other based on how the 

emission reductions were specified. For example, the magnitude of the emission reductions could be 

specified using a cost criterion (e.g., all emissions that could be removed from EGUs at a marginal cost of 

$1,000/ton). Alternatively, the magnitude of the emission reduction could be specified using an air quality 

criterion (e.g., the emission reduction that might be needed to decrease the downwind impact by 0.3 

g/m3

). 
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state-by-state source apportionment. We also assume that if emissions in an upwind state 

were completely eliminated (from all source sectors), that the downwind air quality 

contribution from that state would also be eliminated at all downwind monitors. 

The assumption of proportionality between emissions and air quality impact 

means that, for example, in AQAT, a specific percent reduction in SO2 emissions would 

lead to the same percent reduction in air quality sulfate contribution from that upwind 

state. Consequently, if a state made a 50 percent reduction in SO2 emissions, its sulfate 

contribution to any monitor downwind is assumed to be reduced by 50 percent. In other 

words, in AQAT, we assume that a ton of emissions of a particular pollutant from the 

upwind state has an equivalent air quality effect downwind (on an air quality impact per 

ton basis), regardless of source sector. For example, a ton of emissions of SO2 from the 

power sector is assumed to have the same downwind effect as a ton of emissions of SO2

from the mobile source sector. By consequence, emissions reductions are assumed to be 

distributed proportionally across the state. Thus, if an emissions reduction of 10 percent 

is called for under the “test scenario”, all sources in the state, regardless of location or 

source sector, reduce their emissions by 10 percent. 

Section C.2 is a technical explanation of the construction of AQAT. Readers who 

prefer to access the results of the analysis using the AQAT tool are directed to section 

C.3. 

2. Details on the construction of the air quality assessment tool (with a focus on 

the variation of the tool used for the proposed approach).

(a) Overview of the AQAT for the proposed approach. 

This section describes the step-by-step development process for the AQAT, which 

in turn was used to help develop the proposed approach (see section IV.D of the preamble 

for a description of the proposed approach for defining significant contribution and 

interference with maintenance). In AQAT, we link state emissions and resulting air 

quality contributions to downwind monitoring sites (from the 2012 base case state-bystate source apportionment air quality modeling from CAMx, based on the 2012 base 

case emissions inventory) with the state-by-state modeling of emissions reductions (from 

IPM) available at different marginal cost per ton values. Using the AQAT, we then 

estimate the emissions reductions needed to reduce each upwind state’s air quality 
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contributions such that the 2012 base case average design value (DV) and maximum DV 

at each downwind monitoring location are brought below the level of the NAAQS 

standard4

. Only states that are “linked” to the downwind monitor (i.e., contributing an air 

quality impact above the 1 percent -- of the NAAQS standard -- air quality threshold) as 

well as the state that contains the monitor (regardless of that state’s contribution) are 

assumed to make reductions beyond the base case level. 

Thus, the key estimates from the AQAT for each pollutant are: 

 For an upwind state that is contributing above the 1 percent air quality 

threshold (or, the state containing the monitor), the air quality contribution to 

each downwind monitor from each upwind state as a function of its emissions 

at each marginal cost per ton level 

 For an upwind state that is not above the 1 percent air quality threshold to 

each downwind monitor, its air quality contribution to that monitor (noting 

that base level emissions are reduced in future years due to mobile source and 

other source-sector reductions). 

The results of the analysis using AQAT can be found in section C.3 of this document. 

(b) Data needed to construct the AQAT for the proposed approach and the domain 

examined. 

For each contributing pollutant, three major data sources were needed to construct 

the AQAT for the proposed approach. These were the 2012 base case emissions 

inventories used in the source apportionment (CAMx) air quality modeling, the 2012 

source apportionment air quality modeling contributions (CAMx) for each upwind state 

to each downwind monitor, and the EGU emissions (IPM) at each marginal cost per ton 

level. The base case emissions inventories for estimated 2012 and 2014, as well as the 

2012 source apportionment air quality modeling results, can be found in preamble section 

IV.C. The emissions at each marginal cost level for each year (estimated using IPM) can 

be found in Tables 1-1 through 1-6. 

 

4

 The average DV is a measure for estimating attainment of the NAAQS, while the maximum DV is a 

measure for estimating interference with maintenance. Design values for each of the NAAQS standards are 

defined in section IV.C.2.a of the preamble. The method for determining the average and maximum design 

values is described in section IV.C.2.b of the preamble. 
12

As described in section IV.C of the preamble, the 2012 base case air quality 

contributions from each modeled state were identified for numerous downwind monitor 

locations. While nearly all of these locations were examined using AQAT, the analysis 

for significant contribution focused on monitoring locations that were modeled to be 

above the NAAQS standards in 2012 for either their average or maximum DVs. The 

monitor identification number (monid) and name of the state and county containing the 

monitors examined for annual PM2.5, daily PM2.5, and ozone can be found in Tables 2-1, 

2-2, and 2-3. These tables also list the 2012 average and maximum DVs. The air quality 

contributions and emissions were modeled for the following 38 states: Alabama, 

Arkansas, Connecticut, Delaware, District of Columbia5

, Florida, Georgia, Illinois, 

Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, 

Michigan, Minnesota, Mississippi, Missouri, Nebraska, New Hampshire, New Jersey, 

New York, North Carolina, North Dakota, Ohio, Oklahoma, Pennsylvania, Rhode Island, 

South Carolina, South Dakota, Tennessee, Texas, Vermont, Virginia, West Virginia, and 

Wisconsin. Thus, in AQAT, these states had the possibility of making reductions in 

emissions leading to changes in air quality contributions at the downwind monitors. The 

contributions and emissions from all other states were assumed to be invariant. 

Some of the downwind monitoring sites were not located within states included in 

the air quality and emissions modeling (e.g., sites in Wyoming and New Mexico). 

Consequently, air quality changes as a function of emissions for those locations did not 

factor in to any of the assessments (they may have been calculated, but the results were 

not used). The emissions and contributions of all pollutants aside from SO2 and NOx

were assumed to be invariant. 

(c) Detailed outline of the process for constructing the AQAT for the proposed 

approach. 

 

5

 Maryland was treated as a separate state in this analysis, rather than as combined with the District of 

Columbia. Its emissions were totaled separately and the changes in emissions occurring at different 

marginal costs were applied to upwind contributions from Maryland alone. Even without including 

emissions from the District of Columbia, analysis using AQAT showed Maryland’s maximum contribution 

to a downwind receptor remaining above 0.35 for daily PM2.5 at $2,000 per ton of SO2. Because, even at 

$2,000 per ton, the District of Columbia showed very little reduction in tons of SO2, EPA believes adding 

its emissions to Maryland’s total would have little or no effect on that result. The emissions for the District 

of Columbia and Maryland at the marginal costs analyzed for SO2 are shown in Table 1-3. 
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The goal of the AQAT is to estimate the response in air quality contributions to 

upwind emissions reductions (at different marginal cost levels) at each of the downwind 

monitoring sites whose DVs are above the NAAQS levels. In the AQAT, the percent 

reduction in emissions of an upwind state is assumed to result in a similar percent 

reduction in air quality contribution (a decrease in pollutant contribution) at the 

downwind location. The critical objective for the AQAT is to estimate the change in air 

quality at downwind monitors. We identify the percent change in emissions (reductions) 

for each state relative to the 2012 base case emissions, then multiply this percent change 

by the 2012 base case air quality contribution to estimate the change in the air quality at a 

downwind monitor6

. 

First, the state-by-state 2012 base case relative air quality contributions of sulfate, 

nitrate, and ozone from the CAMx air quality modeling (see preamble section IV.C and 

the Air Quality Modeling TSD7

) were examined at each of the downwind monitoring 

sites for each of the respective NAAQS standards. These are the contributions that are 

modulated based on the ratio of the emissions in the “test” scenario to the base case. 

Examples of the 2012 state-by-state base case source apportionment modeling 

contributions (the annual sulfate, nitrate, and total sulfate and nitrate PM2.5 contributions) 

made to three monitoring sites can be found in Table 2-4. These monitors (identification 

numbers 420030064, 010730023, and 390618001) are located in Allegheny County, PA, 

Jefferson County, AL, and Hamilton County, OH, respectively. These three monitors are 

used throughout this TSD in explanatory examples of the AQAT results. 

Starting with the 2012 base case emissions inventory of SO2 and NOX for the 

annual and daily PM2.5 assessment tools and NOX for the ozone assessment tool, the base 

case emissions from each upwind state for each emissions sector were identified. Stateby-state emissions for SO2 and NOx in 2012 and 2014 for the EGU sector and “all other” 

sectors (the sum of Non-EGU point, Nonpoint, Mobile Nonroad, Mobile Onroad, and 

Fires) are summarized in Table 2-5. More information on the emissions inventories can 

be found in preamble section IV.C. For each state and pollutant, the ratio of the total 

 

6

 For all the calculations and tables presented here, the values have been rounded in the final step. 

Consequently, using the rounded values from intermediate tables can result in small differences between 

the values calculated and the values presented here. 

7

 Information about access to the contributions of nitrate, sulfate, and ozone can be found in the Air Quality 

Modeling TSD. 
14

emissions in the “test” scenario to the 2012 base case scenario was found. This ratio of 

emissions was multiplied by the 2012 base case air quality contributions to estimate the 

air quality contributions for the “test” scenario. Specifically, on a pollutant-by-pollutant 

basis, each state’s contribution to each downwind monitor is estimated by multiplying the 

2012 base case air quality contribution from the source apportionment modeling by the 

ratio of the emissions in the “test scenario” to the 2012 base emissions. This is done 

independently for both SO2 and NOX for the PM2.5 assessment tools, and just for NOX

emissions for the ozone assessment tool. Therefore, for each state, specification of the 

emissions in the “test” scenario was important because it was used to determine the 

percentage of the total base case emissions (and the percentage of the air quality 

contributions). 

 In the proposed approach, on a downwind monitor-by-monitor basis, the 

emissions reductions for each upwind state are associated with one of two marginal cost 

per ton levels (either the base case emissions level for that year or a particular marginal 

cost level). States that are contributing above the air quality threshold (i.e., 1 percent 

contribution of total sulfate and nitrate for the annual and daily PM2.5 AQAT) to the 

monitor,8

 as well as the state containing the monitor, make emissions reductions available 

at the particular marginal cost per ton level. All other states remain constant with 

emissions at the base case marginal cost level for the year examined (either 2012 or 

2014). For example, examining the column in Table 2-4 that shows the total sulfate and 

nitrate contributions in the 2012 base case for the annual PM2.5 standard at monitor 

420030064 in Allegheny, PA, we see that there are nine states whose contributions are 

larger than the 1 percent air quality threshold (0.15 g/m3

). The states are Illinois, 

Indiana, Kentucky, Michigan, New York, Ohio, Tennessee, West Virginia, and 

Pennsylvania. These states are the ones that had their emissions changed to the non-base 

 

8

 This approach was taken on a monitor-by-monitor basis for each downwind location. For a particular 

monitor, if an upwind state contributed above the 1 percent air quality contribution threshold to a certain 

monitor (but not another), it would make reductions in emissions for just the monitor that it was 

contributing to over the threshold. As described in section IV.D of the preamble, $500/ton NOx emission 

reductions were applied to all states contributing above the 1 percent threshold. The results (e.g., whether a 

state was contributing over the threshold, and the resulting marginal cost level that the state needed to 

meet) were assessed across all monitors in the final steps of the process. This process ensures that only 

states that are above the air quality threshold for a particular monitor are required to make reductions 

affecting that particular monitor; it is not required to make reductions for a monitor it does not impact. 
15

case marginal cost level (Pennsylvania would have been included in this group, 

regardless of its contribution, because it is the state containing the monitor). 

At this point, for the Allegheny monitor (and for each of the other monitors, in 

turn), the question becomes, what non-base case marginal cost levels (one for SO2 and 

one for NOx) should be applied to these nine states? The answer is: the particular 

marginal cost that would be required to bring the “test” scenario average (or maximum) 

DV to the level of the standard (e.g., 15 g/m3 for annual PM2.5). For example, for the 

Allegheny monitor and annual PM2.5 standard (shown in Table 2-4), the 2012 base case 

average and maximum design values are 18.9 and 19.31 g/m3

, respectively. Thus, the 

new contributions of sulfate and nitrate in the “test” scenario need to lead to more 

than18.9-15.05 and 19.31-15.05 g/m3

, or more than 3.85 and 4.26 g/m3 of air quality 

improvement. Since we do not have an a priori reason to know what marginal cost levels 

might be required, we can use the AQAT to estimate the air quality at numerous marginal 

cost levels. 

The emissions levels used were created from IPM modeling of state-by-state 

marginal costs associated with various emissions reductions. These emissions levels 

were modeled for both 2012 and 2014. Tables 1-1 and 1-2 in this TSD show the annual 

NOX emissions from the EGU sector (in tons) by state at various marginal cost per ton 

levels of reduction for 2012 and 2014, respectively. Tables 1-3 and 1-4 show the annual 

SO2 emissions from the EGU sector (in tons) by state at various marginal cost per ton 

levels of reduction for 2012 and 2014, respectively. Similarly, Tables 1-5 and 1-6 show 

the ozone season NOX emissions from the EGU sector (in tons) by state at various 

marginal cost per ton levels of reduction for 2012 and 2014, respectively. Note that these 

tables are rounded to the ton, whereas similar tables in preamble section IV.D were 

rounded to the thousand tons. 

The marginal cost levels (2006 $) modeled using IPM for annual SO2 were $0, 

$100, $200, $300, $400, $500, $600, $800, $1,000, $1,200, $1,400, $1,600, $1,800, 

$2,000, and $2,400 per ton. For annual NOX, the marginal cost levels (2006 $) were $0, 

$500, $750, $1,000, $1,250, $1,500, and $2,5009 per ton. For ozone season NOX, the 

 

9

 EPA modeled annual NOX reductions at $2,500 per ton using IPM but did not analyze this cost level using 

AQAT. The projected NOX emissions in each state at $2,500 per ton are shown in Tables 1-1 and 1-2. As 
16

marginal cost levels were $0, $500, $1,000, $1,500, $2,000, $2,500, $3,000, $3,500, and 

$5,000 per ton. Each marginal cost per ton level was related to a specific level of 

pollutant emissions for each state and, therefore, a specific change in emissions relative 

to the 2012 base emissions level. 

The remainder of this section focuses on the step-by-step details used in the 

construction of the AQAT (i.e., how the emissions changes for an upwind state were 

associated with changes in the downwind air quality impact of that state). Section C.3 of 

this TSD describes some of the results from the AQAT used in the proposed approach. 

Section IV.D of the preamble describes how the results from the AQAT were applied, 

along with other metrics, to define significant contribution and interference with 

maintenance. 

For each state, the fraction of EGU emissions for particular marginal cost levels 

was determined from the IPM marginal cost modeling relative to the 2012 base case 

emissions (the $0/ton marginal cost level in 2012). A full set of tables for both 2012 and 

2014 for annual NOX, annual SO2, and ozone season NOX can be found in Tables 2-6 

through 2-11). 

For example, the fractional reduction of EGU SO2 emissions at $1,200/ton for 

Alabama in 2014 relative to the 2012 base case is 0.5222. This was calculated by 

subtracting the emission value for SO2 in 2014 at $1,200 per ton for Alabama (160,520 

tons as seen in Table 1-4) from the emission value in the 2012 base case (335,967 tons as 

seen in Table 1-3) and then dividing that difference by the 2012 base case value (335,967 

tons as seen in Table 1-3). Explicitly, (335,967 -160,520)/ 335,967 = 0.5222 as can be 

seen in Table 2-9. This would be the fractional reduction in EGU contributions at a 

marginal cost of $1,200 per ton (which assumes that Alabama is over the 1% threshold 

for that particular monitor). The fraction of remaining emissions would be 1-0.5222, or 

0.4778. If Alabama is not over the 1 percent air quality contribution threshold for the 

particular monitor, its contribution remains at the 2014 base case ($0 per ton) level. 

 discussed in preamble section IV.D, the potential reduction in EGU NOX emissions increases slowly above 

$500 per ton and up to at least $2,500 per ton. Using the multi-factor assessment discussed above in 

section A, the EPA determined that $500 per ton is the appropriate significant contribution cost threshold 

for annual NOX reductions (see detailed discussion in preamble section IV.D). Because $500 per ton was 

determined to be the appropriate cost threshold, it was not necessary to analyze costs as high as $2,500/ton 

using AQAT. 
17

Consequently, for the 2014 base case situation, Alabama’s SO2 EGU emissions are 

estimated to be 322,362 tons (Table 1-4). Following the same mathematical procedure as 

for the $1200 per ton, the fractional reduction would be (335,967 -322,362)/ 335,967 

=0.0405 (Table 2-9). The fraction of remaining emissions would be 1-0.0405, or 0.9595. 

One minus the fraction of base case EGU emissions reductions from each state 

(e.g., 1.0 minus the values in Table 2-9) were multiplied by the tons of emissions from 

EGUs from the base case air quality modeling inventory (Table 2-5 and preamble section 

IV.C) to give the number of tons of EGU emissions (relative to the air quality modeling). 

This process reconciles the slight differences10 present between the EGU emissions 

inventory used in the contribution air quality modeling and the IPM modeling using 

equivalent percent differences (e.g., a given reduction in tons from EGUs at a specific 

cost from IPM equated to a specific percent reduction). A full set of tables for both 2012 

and 2014 for annual NOX, annual SO2, and ozone season NOX can be found in Tables 2-

12 through 2-17). 

For example, for Alabama for SO2, the 2012 base case IPM modeling emissions 

were 335,967 tons (Table 1-3), while in the 2012 base case inventory used in the air 

quality modeling the emissions were 335,734 tons (Table 2-5). Thus, for Alabama in the 

2014 base case scenario, the number of tons of SO2 from EGUs in AQAT is the fraction 

of emissions from the IPM modeling (1-0.0405, or 0.9595) multiplied by the 2012 air 

quality modeling base case emissions (335,734 tons), resulting in 332,139 tons (Table 2-

15). Similarly, for the 2014 $1,200 per ton level for SO2 from Alabama, the fraction of 

EGU emissions relative to the 2012 IPM base case was 1-0.5222, or 0.4778. This value 

is multiplied by the 2012 air quality modeling base case emissions (335,734 tons) 

resulting in EGU emissions in AQAT of 160,408 tons (Table 2-15). 

The small differences in emissions inventories can be seen by comparing the 2012 

base case emissions from Table 2-5 and Tables 1-1 or 1-3, for NOX and SO2, 

respectively. The emissions at various marginal costs from IPM reported in Tables 1-1 

through 1-6, and used in the assessment tool are from “all units” (which contain the 

 

10 In future iterations of AQAT these small differences in inventories will be reconciled. Since the 

emissions between the two cases are identical in the base case (in terms of total tons of emissions for the 

state), the difference in tons between the base case and “test” case in IPM represents the actual total 

estimated change in tons from the EGU sector. 
18

emissions from “all fossil” units as well as from some “additional units”). A description 

of the EGU emission inventory used in the air quality modeling and its relationship to the 

IPM emissions inventory can be found in preamble section IV.C. 

For each year and marginal cost of reduction level, for each state, and for each 

pollutant, the emissions from EGUs for the “test” scenario (after being adjusted using the 

method described above) were added to the emissions from “all other” sectors, resulting 

in a “total” emissions (by pollutant). A full set of tables, showing the total emissions by 

state, for both 2012 and 2014 for annual NOX, annual SO2, and ozone season NOX can be 

found in Tables 2-18 through 2-23). 

Thus, following the SO2 example with Alabama in 2014 at $1,200 per ton, the 

EGU emissions of 160,408 tons are added to the “all other” emissions of 124,923 tons 

(Table 2-5) resulting in total emissions of 285,332 tons (this can also be seen in Table 2-

21, though the total is slightly different due to differences in rounding). For Alabama in 

2014, the total SO2 emissions are estimated to be 447,062 tons. 

Since the 2012 base case air quality contributions for each state (for each monitor) 

are based on the pollutant-specific 2012 base case total emissions, changes in these 

contributions are related to changes in the pollutant-specific total emissions. Thus, for 

each pollutant, the “test scenario” air quality contributions are equal to the 2012 base case 

air quality contributions multiplied by the ratio of the total emissions. The ratio of the 

total emissions equals the total emissions in the “test scenario” divided by the total 

emissions in the 2012 base. The percent of the total base case emissions was determined 

by adding the remaining tons of EGU emissions (relative to the air quality modeling 

emissions) to the contribution from “all other” emission source sectors (non-EGU point 

sources, onroad and nonroad mobile, fires, etc.), which are constant for a particular year, 

and dividing this total by the total of the EGU and all other source sector emissions from 

the 2012 air quality base case. 

A full set of tables, showing the ratio of the total remaining emissions relative to 

the 2012 base case emissions total, by state, for both 2012 and 2014 for annual SO2, 

annual NOx, and ozone season NOx can be found in (Tables 2-24 through 2-29). 

For example, following the Alabama examples for SO2 emissions described 

above, the ratio would be the total emissions in 2014 (at $1,200 per ton = 285,332 tons) 
19

divided by the 2012 total base case emissions (462,297 tons, from Table 2-5). This ratio 

is 285,332/462,297=0.6172 (as can be seen in Table 2-27). 

Note that, when examining emissions in 2014, for many states, there were 

changes in emissions (relative to the 2012 base case emissions) from “all other” sectors 

(primarily from changes in mobile source emissions), but also sometimes from changes 

in emissions from the EGU sector. The base case EGU emissions (at $0 per ton marginal 

cost) in 2014 are different (and often lower) than the base case EGU emissions in 2012. 

Consequently, even for states whose contributions to a particular monitor are below the 1 

percent threshold limit, their contribution in 2014 is usually estimated to be different than 

it was in 2012. 

For the ozone season AQAT, change in overall NOX emissions was assessed as if 

the reductions continued to be applied over an annual time scale so that emissions from 

EGUs could be compared with total emissions (including emissions from “all other” 

emission source sectors, where ozone season emissions were not readily available). The 

relative changes in ozone-season NOX emissions from the EGU sector were scaled to 

annual EGU NOX emissions. In other words, if ozone season NOX emissions from EGUs 

decreased by 25 percent during the ozone season relative to the 2012 base case ozone 

season EGU emissions, the annual NOX emissions from EGUs were decreased by 25 

percent. 

Tables 2-30 through 2-32 show the fraction reduction in total emissions at various 

marginal costs of control in 2014 relative to base case emissions 2014, for annual SO2, 

annual NOX, and ozone season NOX. (rather than the base of 2012 as is seen in Tables 2-

24 through 2-29. These are calculated by taking 1 minus the ratio of the 2014 total 

emissions at a marginal cost to the 2014 base case total emissions (these total emission 

values can be found in Tables 2-18 through 2-23). The values in Table 2-31 were used to 

create figures IV.D-1 through IV.D-4 in the preamble. 

One of the final steps in AQAT is to multiply the emissions ratios for each state 

by the state’s air quality contributions to each downwind monitor. The “test scenario” air 

quality contributions at each monitor location were estimated by multiplying the base 

case air quality contributions from each state (at that monitor) by the percentage of base 

case emissions from that state. As an example, Table 2-33 shows estimated annual 
20

sulfate and nitrate, and total sulfate and nitrate, contributions in 2014 for the three 

monitors (Allegheny County, PA; Jefferson County, AL; and Hamilton County, OH), 

where states above the 1 percent threshold make reductions at $1,200/ton for SO2 and 

$500/ton for NOx, while the other states make reductions at 2014 base case levels for 

both pollutants. New estimated total contributions at each monitor were found by adding 

the state contributions together. This was done for each pollutant. 

Estimated design values (average or maximum) for the “test scenario” were found 

by taking the 2012 base case air quality design value (average or maximum), subtracting 

the total contributions for each pollutant from each state from the base case and adding 

the new total contributions estimated using AQAT. In other words, we subtract the sum 

of the 2012 base case contributions of sulfate and nitrate from the 2012 design value 

(Table 2-4), and then add the sum of the “test” scenario contributions (Table 2-33). This 

new estimated design value was then compared to the specified air quality level (the 

NAAQS). The total contributions added and subtracted are identical for both the average 

and maximum design values. Both the new estimated average and maximum design 

values were compared with the specified air quality level. A description of the three 

NAAQS standards can be found in the preamble. The three NAAQS examined here are 

the 1997 and 2006 fine particulate matter (PM2.5) and the 1997 ozone. In AQAT, the 

estimated value of the average design value was used to estimate whether the location 

will be out of attainment, while the estimated maximum design value was used to 

estimate whether the location will be out of maintenance. 

For the proposed approach, the marginal cost per ton values were incrementally 

increased, changing the emissions (and the resulting estimated air quality contributions) 

until each monitoring location went below the specified air quality level (or the 

maximum cost was reached). The marginal cost per ton values were incrementally 

applied in increasing marginal cost levels. As the cost per ton value increased, the 

estimated design values decreased. The three air quality levels used were 15.05 g/m3

, 

35.5 g/m3, and 85 ppb to represent the 1997 and 2006 fine particulate matter (PM2.5) and 

the 1997 ozone standards, respectively. The critical marginal costs that were applied, just 

after the estimated average and maximum air quality design values from AQAT went 
21

below the air quality level, were found. (More information about the application of 

AQAT with the proposed approach can be found in section 3.) 

3. Description of the results of the analysis using AQAT for the proposed 

approach.

The focus of this section is to describe the results of the analysis using the AQAT 

for the annual PM2.5, daily PM2.5, and ozone standards. In section C.2(c) of this TSD, we 

described the construction of the AQAT for the proposed approach. The specific 

application of the tool is described in this section. As part of the preliminary 

investigation of this approach, we imposed various combinations11 of SO2 and NOX

emissions reductions within AQAT and examined the resulting estimated air quality on a 

monitor-by-monitor basis. For example, for one of the first variations of the proposed 

approach using the AQAT, we estimated the levels of emissions reductions needed to 

reduce air quality contributions in order to bring each downwind monitor (the average 

DV as well as the maximum DV) to the level of the NAAQS, assuming that the marginal 

costs of both pollutants were incremented in concert. We also examined the air quality 

response to emissions reductions at different marginal costs for each pollutant, separately. 

For ozone, we examined the air quality response to ozone season NOX emissions 

reductions at different marginal costs. 

The emissions for annual NOX for 2012 and 2014 can be found in Tables 1-1 and 

1-2. The emissions for annual SO2 for 2012 and 2014 can be found in Tables 1-3 and 1-

4. The NOX emissions during ozone season, for 2012 and 2014, can be found in Tables 

1-5 and 1-6. 

For each monitor, we applied emissions reductions on a state-by-state basis. As 

described in section C.2(c) of this TSD, for annual and daily PM2.5 standards, NOX and 

SO2 emissions reductions beyond the base case level for the year examined were applied 

to the state containing the monitor, as well as to upwind states contributing above the 1 

percent air quality threshold to that particular monitor. For each monitor and at each 

marginal cost level for both NOX and SO2, we summarized the estimated air quality 

 

11 As described in section B of this TSD, the IPM emission estimates for both SO2 and NOx were modeled 

independently (assuming that emissions for the other pollutant were held constant at base case levels for the 

modeled year). Similarly, in AQAT, we assume that PM2.5 formation from NOx and SO2 is not affected by 

chemical interactions between NOx and SO2. 
22

reductions from all states -- the upwind states above the 1 percent threshold, the state 

containing the monitor (making reductions as if it was over the 1 percent threshold), and 

the remaining states (making reductions at the base case level). For the ozone season, a 

similar process was followed except that only NOX emissions reductions were applied. 

For annual PM2.5 in 2014, the total estimated air quality response in g/m3 to 

different receptor monitors for both NOX and SO2 marginal cost levels can be found in 

Tables 3-1, 3-2, and 3-3 for all states, the state containing the monitor, and upwind states, 

respectively. For daily PM2.5 in 2014, on a monitor-by-monitor basis, the total estimated 

air quality response in g/m3

 for both NOX and SO2 marginal cost levels can be found in 

Tables 3-4, 3-5, and 3-6 for all states, the state containing the monitor, and upwind states, 

respectively. 

For ozone in 2012, the total estimated air quality response in ppb for ozone season 

NOX marginal cost levels can be found in Tables 3-7, 3-8, and 3-9 for all states, the state 

containing the monitor, and upwind states, respectively. Similarly, for ozone in 2014, the 

total estimated air quality response in ppb for ozone season NOX marginal cost levels for 

the same three cases can be found in Tables 3-10, 3-11, and 3-12. 

For annual and daily PM2.5, based on the relationship between the magnitude of 

NOX emissions reductions and increasing marginal cost (and the resulting estimated air 

quality changes in PM2.5 using AQAT), it became clear that the overwhelming air quality 

improvement in nitrate reductions would be attained at a relatively low cost (e.g., 

$500/ton) as described in preamble section IV.D.4.a. 

The remaining steps in the analyses for annual PM2.5 and daily PM2.5, estimating 

the SO2 marginal cost per ton needed by each monitor to reach the 

nonattainment/maintenance level, we assume NOX marginal emissions reductions at the 

$500/ton level applied on a monitor-by-monitor basis to states contributing above the 1 

percent threshold and to the state containing the monitor. 

The estimated marginal cost per ton of reductions needed so that the estimated air 

quality improvement necessary for each monitor to lower its 2012 base case average and 

maximum DVs to a value below the level of the annual PM2.5, daily PM2.5, and ozone 

standards in 2014 can be found using Tables 3-1, 3-4, and 3-10 (the values for ozone in 

2012 can be found using Table 3-7). 
23

SO2 EGU marginal costs equal to >$2,400/ton for the annual and daily PM2.5

standards indicate that a higher marginal cost value than $2,400 is needed (the value 

could be substantially higher than $2,400, however $2,400/ton was the highest marginal 

cost modeled in IPM for SO2). Similarly, the value of >$5,000/ton for the ozone standard 

indicates that a value larger than $5,000/ton is needed (the highest EGU marginal cost per 

ton of reductions modeled in IPM for ozone-season NOX). 

As an illustrative example showing how the nitrate and sulfate reductions and 

“critical” marginal cost levels are estimated, consider monitor 360610056 in New York, 

New York which has a 2012 base case maximum daily PM2.5 DV of 38 g/m3. Thus, 

considering the rounding convention for the NAAQS, an air quality improvement of 

more than 2.5 g/m3

 would be needed for the estimated maximum DV to be below 35.5 

g/m3

. Examining Table 3-4, showing the AQAT estimates for this monitor, we see that 

in the 2014 base case (0$/ton for both NOX and SO2 emissions), there is a reduction of 

0.94 g/m3. Based on the way that the air quality reduction tables are set up, care must 

be taken not to count the base case reduction in 2014 twice, when adding up air quality 

reductions from NOX and SO2 emissions reductions. 

At the $500/ton NOX marginal cost (with $0/ton SO2 emissions), there is a total 

reduction of 1.17 g/m3

 (Table 3-4). Similarly, at $200/ton SO2 marginal cost (with 

$0/ton NOX emissions), there is a total reduction of 2.27 g/m3. Thus, at the $500/ton 

NOX marginal cost and $200/ton SO2 marginal cost, there is a 0.23 g/m3

 (1.17-0.94 

g/m3) reduction in nitrate and a 1.33 g/m3 (2.27-0.94 g/m3) reduction in sulfate. 

Adding 0.94 to 0.23 and 1.33 equals a total of 2.5 g/m3

 reduction from the 2012 base 

case level. This amount of air quality improvement would bring the estimated maximum 

DV monitor to a level of 35.5 g/m3

 in 2014, and therefore, almost into attainment with 

the standard. The next increment of control (the $300/ton marginal cost level) is 

estimated to bring the value below 35.5 g/m3

. Thus, as seen in Table 2-2, the estimated 

critical maximum DV $/ton value is $300/ton. 

The total number of estimated remaining nonattainment and maintenance 

monitors as a function of particular marginal cost levels is shown in Tables 3-13, 3-14, 

and 3-15. Monitors are only counted if their critical estimated marginal cost level (using 
24

Tables 3-1, 3-4, 3-7 and 3-10) is greater than the marginal cost level in the summary 

tables. For example, the maximum 2014 average and maximum DV critical SO2

marginal costs are $1,800/ton and greater than $2,400/ton, respectively, for the annual 

PM2.5 standard for monitor number 420030064 located in Allegheny, PA. In Table 3-13, 

at $1,600/ton SO2 marginal cost, this monitoring site accounts for the value of 1 in both 

the nonattainment and nonattainment/maintenance categories. At the $1,800/ton SO2

marginal cost level, there are no estimated remaining nonattainment monitors with values 

greater than $1,800/ton (Allegheny’s critical nonattainment value was $1,800/ton), but 

there is 1 estimated remaining maintenance site (Allegheny’s critical maintenance value 

was greater than $2,400/ton). Tables 3-13, 3-14, and 3-15 were summarized in preamble 

Tables IV.D-3, IV.D-4, and IV.D-9. 

On a monitor-by-monitor basis, Table 3-6 shows the estimated air quality 

improvement (g/m3

) as a function of various SO2 marginal costs (in 2014) just from 

states that are upwind of the monitor. In the preamble section IV.D, we present the 

average air quality improvement in daily PM2.5 from upwind states for all of the monitors 

whose 2012 base case DVs were greater than the daily PM2.5 NAAQS level (see 

preamble Table IV.D-4). These data are the average of the values in Table 3-6, and are 

presented in Table 3-16 in this TSD. Table 3-16 shows the air quality improvement in 

2014 referenced to the 2012 and 2014 base case levels (e.g., subtract 1.3 g/m3 from all 

of the values to achieve the 2014 base value of 0.0 g/m3

). In preamble Table IV.D-4 the 

values are relative to the 2014 base case value. In addition, in preamble Table IV.D-4, 

we show the average air quality improvement for “six” sites and “three” sites. The 

average air quality improvements for these sites as well as their monitor ID numbers and 

locations are presented in Table 3-16. 

One of the final aspects of this TSD is to show the estimated average and 

maximum design values for each downwind monitor when the $500/ton NOx and 

$2,000/ton SO2 marginal cost levels for annual PM2.5 and daily PM2.5 are applied within 

AQAT (following the procedure described in this subsection for states that are above the 

1% air quality contribution threshold for a particular monitor). These results can be 

found in Table 3-17 for annual PM2.5 and in Table 3-18 for daily PM2.5. Similarly, the 

estimated average and maximum design values when $500/ton ozone season NOx was 
25

applied within AQAT are shown in Tables 3-19 and 3-20 for 2012 and 2014. These 

estimates followed the procedure described in this subsection for states that are above the 

1% air quality contribution threshold for a particular monitor. 

Lastly, once the proposed remedy was implemented in IPM and budgets for each 

state were estimated, it was possible to estimate air quality concentrations at each 

downwind receptor using AQAT. Average and maximum design value estimates in 2014 

for annual PM2.5, daily PM2.5 can be found in Tables 3-17 and 3-18. Air quality 

estimates for ozone season average and maximum design values in 2012 and 2014 can be 

found in Tables 3-19 and 3-20. Air quality estimates were also made using CAMx (see 

the Air Quality Modeling TSD for details). Some comparisons between AQAT and 

CAMx estimates are shown in section 4 of this TSD. 

4. Comparison between the air quality assessment tool estimates and CAMx air 

quality modeling estimates. 

Understanding the relationship between emissions and air quality involves 

looking at some of the chemical reactions involved in the formation of PM2.5 and ozone. 

PM2.5 concentration is comprised of several chemical species including related forms of 

particulate sulfate and particulate nitrate. The atmospheric chemical reactions that 

convert SO2 and NOX to particulate sulfate and nitrate, respectively, are central to 

understanding the relationship between emissions and particulate formation. Both gasphase and aqueous-phase processes can be important in the formation of particulates. 

In both phases, the reaction is presumably dependent on complex effects from 

oxidants, possibly leading to a nonlinear response in sulfate formation (particularly for 

the aqueous phase)12. In the gas phase, the reaction depends on hydroxyl radical (OH) 

concentrations, which depend indirectly on NOX and VOC concentrations, as well as 

sunlight intensity. In the aqueous phase, the rate of formation in solution is dependent on 

oxidants in solution such as H2O2 and O3. During certain times and situations, such as 

the winter months when H2O2 concentrations may be low and SO2 concentrations are 

high, the response in sulfate formation may be nonlinear12. Conversion of NOX to 

particulate nitrate is less straightforward. The same general reactions apply, though the 

 

12 Atmospheric Chemistry and Physics: From Air Pollution to Climate Change (2nd Edition). 2006. John H. 

Seinfeld & Spyros N. Pandis. Published by John Wiley & Sons, Inc., Hoboken, New Jersey. 
26

relation between emissions and particulate is thought to be nonlinear12. The chemical 

relationships that influence ozone formation are very complex and can be nonlinear12. 

Some of the factors and reagents (among others) affecting the reactions include NOX and 

VOC concentrations, sunlight intensity, and temperature. 

The air quality assessment tool was not designed or intended to account for the 

these non-linear relationships between emissions and air quality, as indicated in section 

C, above. In contrast to the assessment tool, the CAMx modeling explicitly accounts for 

interactions and nonlinearities in the atmospheric reactions, the effects of transport and 

diffusion, and the uneven geographic distribution of sources and controls across a state. 

Following the CAMx modeling performed to evaluate the air quality effects of the 

proposed approach as described in the preamble, it was possible to evaluate the air 

quality assessment tool using the model predictions from CAMx. A comparative 

analysis was done between the assessment tool and the CAMx modeling. This analysis 

focused on comparing the average and maximum design value concentrations at the 

downwind monitoring sites for both the 2014 base case as well as the 2014 control case. 

Examination of the results of the CAMx modeling for 2014, implementing the proposed 

remedy, shows that nearly all of the air quality monitoring locations of interest are 

estimated to be brought into attainment and maintenance for both the ozone and annual 

PM standards (see section IV.D of the preamble). Qualitatively, these results are quite 

similar to those from the assessment tool. However, for the daily PM standard, a number 

of locations are estimated to remain out of attainment and/or maintenance. Information 

about the particular locations estimated to remain out of attainment/maintenance, as well 

as an explanation of some of the reasons why, can be found in the Air Quality Modeling 

TSD. In summary, it appears that the rates of atmospheric chemistry reactions differ 

between summer and winter, leading to seasonal differences in the effectiveness of SO2 

emissions reductions to lower PM2.5 concentrations. 

EPA compared the air quality estimates from the air quality assessment tool and 

the CAMx modeling at a number of monitoring locations for both the 2014 base and 

2014 control cases, with a focus on estimates for the daily PM2.5 standard. The 

comparisons for six monitoring locations can be found in Table 4-1. Results for all 

monitoring sites estimated to be nonattainment and/or maintenance in the 2012 base case 
27

air quality modeling for the daily PM2.5 average and maximum DVs can be found in 

Table 4-2, and 4-3, respectively. We found that the air quality assessment tool nearly 

always overestimated total reductions in PM2.5 relative to the estimates from the CAMx 

modeling. The differences are smaller for the 2014 base case, than for the 2014 proposed 

remedy case. This is the result of the significantly larger emission reductions in the 2014 

proposed remedy case resulting in larger air quality improvements. Assessed across all 

of the sites that were estimated to be nonattainment in the 2012 base case, the average 

difference between the air quality assessment tool and the CAMx modeling of the 2014 

base case was -0.6 g/m3

. For the 2014 proposed remedy case, the average difference 

between the assessment tool and the CAMx modeling for the daily average DV was -5.7 

g/m3

 of reduction. 

An analysis to characterize the residual nonattainment/maintenance problems for 

the 24-hour PM2.5 NAAQS is provided in the Air Quality Modeling TSD. In brief, this 

analysis indicates that there are seasonal differences in the response of sulfate 

concentrations to changes in SO2 emissions. In particular, the sulfate reductions 

predicted by CAMx for the “warm” seasons (i.e., 2nd and 3rd calendar quarters) were 

greater than during the “cool” seasons (i.e., 1st and 4th quarters). The response of sulfate 

to emissions changes in the warm seasons were generally proportional to the regional 

change in SO2 emissions. The response was much less and more site specific during the 

cool seasons. The results of this analysis that the assumption of proportionality between 

emissions and concentrations in the AQAT may be appropriate for warm season sulfate 

concentrations, while for winter, the air quality assessment tool overestimated the 

magnitude of sulfate reductions compared to CAMx. 
28

Table 1-1. 2012 Annual NOx EGU Emissions* for Each State at Various Pollution 

Control Marginal Costs per Ton of Reduction (Tons). 

Year 2012 2012 2012 2012 2012 2012 2012**

Marginal 

Cost per Ton $0 $500 $750 $1,000 $1,250 $1,500 $2,500

State 

AL 122,344 69,649 69,595 69,590 69,563 69,506 68,946

AR 43,342 23,673 23,645 23,728 23,858 23,823 23,821

CT 7,940 7,931 7,931 7,935 7,935 7,935 7,936

DE 4,685 4,934 4,918 4,735 4,734 4,734 4,733

DC 933 938 938 939 939 939 938

FL 211,836 144,657 117,197 116,801 115,889 115,784 115,187

GA 78,184 75,972 75,998 76,033 76,045 75,815 75,442

IL 78,142 57,240 57,337 57,232 57,240 57,307 57,250

IN 203,235 116,588 116,322 115,707 115,212 113,766 111,980

IA 66,427 54,366 51,496 51,083 50,843 50,856 49,958

KS 70,915 33,000 33,793 33,608 33,188 32,947 32,610

KY 149,221 73,900 73,694 73,055 72,568 72,360 71,521

LA 44,858 36,137 36,143 36,034 35,978 35,970 36,039

ME 8,113 7,904 7,833 7,794 7,794 7,794 7,794

MD 33,055 33,113 33,113 33,122 33,124 33,124 33,016

MA 12,343 12,737 12,737 12,737 12,737 12,736 12,744

MI 98,217 67,765 67,775 67,800 67,836 67,816 67,578

MN 53,783 36,969 37,020 37,207 37,369 37,365 37,372

MS 37,924 19,209 19,223 18,864 18,677 18,677 18,686

MO 77,610 76,684 73,974 72,404 70,389 68,873 65,178

NE 52,878 34,383 34,383 34,383 34,269 33,954 33,460

NH 11,052 11,012 11,012 10,950 10,950 10,950 10,865

NJ 19,405 15,897 15,897 15,915 15,926 15,778 15,562

NY 33,759 33,684 33,648 33,624 33,617 33,595 33,507

NC 62,503 62,409 62,409 62,411 62,411 62,477 62,477

ND 59,573 49,114 49,114 48,643 48,540 47,442 47,332

OH 159,630 99,649 99,553 99,266 98,488 98,637 97,999

OK 86,982 51,722 51,646 51,646 51,551 51,490 50,856

PA 198,637 119,015 118,096 118,257 117,876 116,942 116,735

RI 274 280 280 281 281 281 281

SC 47,993 36,417 36,417 36,365 35,939 35,953 35,598

SD 15,507 13,597 13,597 12,681 12,630 12,577 11,606

TN 68,568 28,502 28,496 28,499 28,499 28,499 28,502

TX 160,077 134,928 134,871 134,875 134,879 134,566 132,855

VT 793 793 793 793 793 793 793

VA 41,258 40,850 40,851 40,850 40,850 40,856 40,772

WV 102,718 56,129 55,993 55,148 54,747 54,660 52,192

WI 49,880 40,554 40,020 39,986 39,658 39,241 39,139

*Source: Integrated Planning Model run by EPA, 2010. See Appendix A for list and description of these IPM runs. Emissions have 

been rounded to the nearest ton. For some smaller states at some marginal costs of reductions, a higher marginal cost option may be 

chosen over a lower marginal cost option if it allows system-wide electrical demand to be met at a lower system-wide total cost 

(because the model is optimizing for overall system cost, not for lowest NOx cost). **This marginal cost level was not included in the current version of AQAT. 
29

Table 1-2. 2014 Annual NOx EGU Emissions* for Each State at Various Pollution 

Control Marginal Costs per Ton of Reduction (Tons). 

Year 2012 2014 2014 2014 2014 2014 2014 2014**

Marginal 

Cost per Ton $0 $0 $500 $750 $1,000 $1,250 $1,500 $2,500

State 

AL 122,344 118,955 62,301 62,343 62,275 62,323 62,133 49,890

AR 43,342 44,911 24,916 24,931 24,958 24,646 24,631 24,160

CT 7,940 7,991 8,008 8,008 8,001 7,994 7,987 7,984

DE 4,685 5,790 6,021 6,020 5,832 5,830 5,829 5,823

DC 933 933 938 938 939 939 939 938

FL 211,836 196,373 138,406 114,384 113,634 113,351 113,011 80,450

GA 78,184 48,267 45,711 45,309 45,316 45,336 45,121 44,943

IL 78,142 80,451 56,449 56,245 56,139 56,167 56,088 55,591

IN 203,235 201,027 114,362 113,798 113,826 113,408 113,841 107,055

IA 66,427 68,259 56,063 52,776 52,187 51,896 50,348 46,612

KS 70,915 79,018 37,804 37,916 37,469 37,309 35,922 35,230

KY 149,221 148,551 72,449 72,209 71,893 71,694 71,601 70,598

LA 44,858 45,551 37,215 37,238 37,286 37,293 37,293 28,415

ME 8,113 7,509 7,303 7,195 6,699 6,347 6,347 6,351

MD 33,055 35,944 36,148 36,148 36,158 36,189 36,189 36,234

MA 12,343 12,650 13,018 13,018 13,018 12,995 12,988 12,989

MI 98,217 98,941 68,279 68,117 67,804 67,800 67,615 66,114

MN 53,783 55,283 38,047 38,302 38,166 38,160 38,070 37,789

MS 37,924 37,549 18,732 18,732 18,730 18,730 18,730 13,031

MO 77,610 83,019 82,000 80,337 79,891 72,461 61,126 55,365

NE 52,878 53,029 34,446 34,511 34,454 28,334 28,322 28,318

NH 11,052 11,052 11,021 11,021 11,021 11,021 10,950 10,865

NJ 19,405 27,127 23,496 23,493 23,496 23,394 23,389 19,811

NY 33,759 36,352 35,392 32,943 32,842 32,663 31,514 31,204

NC 62,503 62,608 62,532 62,289 62,320 62,365 62,326 60,934

ND 59,573 59,582 49,123 49,123 48,752 31,826 31,460 25,916

OH 159,630 164,947 103,596 103,147 102,638 101,952 97,623 87,834

OK 86,982 81,189 50,086 50,162 50,206 50,211 50,143 43,230

PA 198,637 204,950 123,203 122,970 122,857 122,664 122,408 86,153

RI 274 333 308 308 308 308 308 308

SC 47,993 47,742 35,966 35,653 35,607 35,580 35,602 34,808

SD 15,507 15,528 13,618 13,618 1,946 1,946 1,943 1,943

TN 68,568 68,914 28,812 28,811 28,815 28,809 28,704 28,554

TX 160,077 166,515 145,734 144,910 144,718 142,279 142,222 140,521

VT 793 793 793 793 793 793 793 793

VA 41,258 37,630 37,133 37,133 37,321 37,430 37,079 36,416

WV 102,718 100,095 54,122 53,919 53,657 53,540 49,420 45,311

WI 49,880 54,515 44,298 44,348 43,786 43,515 43,023 40,779

*Source: Integrated Planning Model run by EPA, 2010. See Appendix A for list and description of these IPM runs. Emissions have 

been rounded to the nearest ton. For some smaller states at some marginal costs of reductions, a higher marginal cost option may be 

chosen over a lower marginal cost option if it allows system-wide electrical demand to be met at a lower system-wide total cost 

(because the model is optimizing for overall system cost, not for lowest NOx cost). 

**This marginal cost level was not included in the current version of AQAT. 
30

Table 1-3. 2012 SO2 EGU Emissions* for Each State at Various Pollution Control Marginal Costs per Ton 

2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 

Marginal Cost per Ton $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $State AL 335,967 314,011 275,149 245,077 198,855 186,736 187,271 186,641 169,375 168,590 164,259 162,219 15AR 85,115 85,129 84,596 84,713 84,784 84,531 82,685 82,539 82,539 82,632 82,673 82,693 8CT 6,141 6,140 6,141 6,141 6,141 6,141 6,141 6,141 6,141 6,141 6,153 6,160 DE 7,841 8,901 8,924 8,923 8,920 8,913 8,913 8,904 8,903 8,900 8,900 8,899 DC 176 177 177 177 177 177 177 177 177 179 177 177 FL 230,284 206,030 172,791 175,899 144,929 122,875 123,091 121,957 122,230 114,847 112,519 111,975 10GA 552,053 549,262 277,192 276,302 274,899 279,576 272,614 271,335 256,333 243,311 243,052 240,730 23IL 724,665 467,401 374,588 332,986 272,990 267,135 267,319 263,565 261,495 256,144 249,211 247,118 24IN 830,119 507,793 416,088 375,174 367,665 346,034 341,438 320,864 318,902 288,350 282,709 281,817 27IA 169,040 149,965 133,422 129,273 127,692 126,858 114,764 104,689 104,763 104,889 104,183 103,184 10KS 59,567 60,991 61,847 53,815 58,933 48,304 44,936 44,709 42,266 41,809 41,750 41,674 4KY 718,983 294,697 282,337 274,776 264,347 253,006 243,697 227,353 216,029 213,447 202,339 194,765 18LA 100,280 99,273 95,750 95,750 95,750 95,750 95,340 95,340 95,340 95,340 95,340 95,340 9ME 17,100 17,100 16,277 16,306 16,306 16,306 16,306 11,763 9,998 9,698 6,798 3,933 MD 51,644 51,658 51,658 51,658 44,974 43,555 42,973 43,007 42,896 40,230 39,467 39,565 3MA 17,265 18,192 18,192 18,192 9,954 9,953 9,953 9,953 9,953 9,953 9,953 9,953 MI 288,082 272,635 256,807 246,635 213,198 211,069 209,072 206,513 207,611 207,688 206,963 205,007 20MN 54,019 54,217 50,924 48,668 48,047 48,117 48,117 48,113 48,317 48,274 48,264 48,743 4MS 46,559 46,559 46,559 46,559 46,150 46,135 46,143 46,140 46,559 46,461 46,472 46,460 4MO 445,643 248,353 223,797 221,589 218,297 217,311 210,831 198,137 195,095 194,323 194,029 193,878 19NE 120,790 119,894 119,367 117,763 113,884 106,859 79,097 75,357 74,253 73,744 73,610 72,734 7NH 7,823 7,823 7,823 7,823 7,823 7,823 7,823 7,823 7,823 7,823 7,823 7,823 NJ 38,141 38,141 25,786 25,688 25,147 19,240 19,240 19,240 19,078 19,469 19,469 19,378 1NY 145,482 145,482 145,482 144,837 144,945 144,508 143,583 143,464 129,447 120,511 119,829 118,609 11NC 126,959 116,105 124,212 119,154 114,972 111,719 111,569 107,203 106,016 105,916 100,144 101,670 9ND 77,383 75,748 75,748 75,675 75,675 75,675 44,229 44,229 44,229 43,144 43,144 43,144 4OH 946,672 564,836 459,346 434,213 406,457 361,166 329,412 301,076 292,565 290,058 263,389 248,316 24OK 156,032 159,773 155,287 134,188 112,796 115,548 104,644 104,644 104,644 104,644 104,644 104,644 10PA 967,093 846,489 413,029 367,639 351,629 318,683 305,736 290,153 285,259 277,030 241,953 234,846 23RI 0 0 0 0 0 0 0 0 0 0 0 0 SC 149,619 142,423 146,806 144,465 140,106 139,380 137,867 136,653 128,450 122,156 121,620 119,331 11SD 13,453 13,453 12,782 12,782 12,782 11,919 11,919 11,919 11,919 11,919 11,919 11,919 1TN 596,992 244,526 130,745 128,848 127,323 127,180 127,180 126,188 126,187 126,330 126,151 123,283 12TX 327,905 326,761 319,175 317,904 317,771 295,435 295,414 294,338 294,246 294,038 293,902 293,903 29VT 351 351 351 351 351 351 351 351 351 351 351 351 VA 146,252 146,225 134,706 122,916 122,244 122,244 121,554 119,814 115,806 111,245 111,026 108,757 10WV 588,392 208,559 188,135 170,963 148,949 143,292 141,357 131,943 126,186 125,069 122,866 120,442 11WI 107,459 101,520 98,700 98,356 101,756 92,268 92,426 87,125 86,986 86,256 89,965 91,477 9

*Source: Integrated Planning Model run by EPA, 2010. See Appendix A for list and description of these IPM runs. Emissions have been rounded to the nearest ton. Fomarginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows system-wide electrical demand to be met at a low(because the model is optimizing for overall system cost, not for lowest SO2 cost). 
31

Table 1-4. 2014 SO2 EGU Emissions* for Each State at Various Pollution Control Marginal Costs per Ton 

2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2

Marginal Cost per Ton $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1State AL 335,967 322,362 306,933 257,312 230,817 176,783 171,088 167,586 166,413 166,146 160,520 146,477 103AR 85,115 88,234 88,257 85,409 85,444 85,443 85,440 85,440 85,471 85,456 85,500 84,258 83CT 6,141 6,160 6,160 6,160 6,160 6,160 6,160 6,160 6,160 6,160 6,160 3,366 3DE 7,841 8,079 9,074 9,096 9,114 9,114 9,116 9,120 9,120 9,121 8,690 8,706 8DC 176 176 177 177 177 177 177 177 177 177 179 177 FL 230,284 194,723 177,737 171,182 170,919 138,373 117,043 117,381 116,952 113,041 112,263 111,050 84GA 552,053 173,257 165,553 135,977 136,844 133,563 133,346 131,652 129,218 116,733 107,461 101,239 95IL 724,665 200,484 184,625 165,125 164,288 165,090 165,032 165,133 165,128 163,548 164,857 164,764 163IN 830,119 804,425 478,464 432,781 351,997 343,820 328,129 325,582 312,579 290,932 287,151 284,471 259IA 169,040 163,966 140,426 129,873 120,245 112,214 106,014 105,592 104,644 105,229 104,510 103,923 103KS 59,567 65,125 64,354 55,834 48,971 49,130 49,058 47,206 46,551 45,973 45,694 45,557 45KY 718,983 739,595 275,464 270,358 252,998 248,542 247,921 243,033 231,846 195,511 185,866 178,058 161LA 100,280 94,866 94,866 94,867 94,933 94,933 94,933 94,933 94,952 94,952 94,951 94,951 94ME 17,100 12,991 12,991 12,991 10,233 9,261 9,167 9,167 9,167 4,737 1,596 1,596 1MD 51,644 45,037 45,307 45,310 45,315 45,296 45,298 45,298 45,302 45,302 45,326 45,331 45MA 17,265 17,265 18,192 18,192 18,088 9,794 9,794 9,794 9,794 9,792 9,792 9,792 9MI 288,082 275,961 254,380 253,322 246,264 216,119 213,931 210,814 210,186 209,109 208,361 207,278 204MN 54,019 62,033 56,968 54,688 51,157 51,086 48,746 48,109 48,036 48,100 48,137 48,246 48MS 46,559 48,276 46,298 46,882 46,189 46,147 46,246 46,559 46,559 46,559 46,559 46,559 45MO 445,643 500,649 289,438 238,428 229,132 223,609 212,894 213,315 213,507 212,383 211,506 212,023 208NE 120,790 115,695 119,247 113,044 88,485 77,709 74,013 73,103 73,070 72,597 71,540 71,124 70NH 7,823 7,141 7,141 7,141 7,141 7,141 7,141 7,075 7,823 7,823 7,823 7,823 7NJ 38,141 39,721 39,583 26,693 26,686 20,649 20,711 20,801 20,633 20,640 20,620 20,408 17NY 145,482 142,762 141,614 142,656 141,729 137,090 135,360 131,533 119,236 118,192 114,146 113,574 109NC 126,959 140,924 140,923 140,900 133,991 134,061 130,021 128,974 115,452 114,107 112,745 104,291 98ND 77,383 80,320 75,758 75,758 57,992 44,238 44,238 44,238 44,236 44,233 43,147 43,144 43OH 946,672 841,199 582,611 553,120 519,216 416,607 408,417 360,017 322,162 294,000 279,388 260,273 240OK 156,032 165,773 165,774 125,850 110,863 110,863 110,863 110,863 110,928 110,928 110,922 110,922 110PA 967,093 974,644 825,128 441,481 399,513 351,513 336,913 233,928 224,990 202,085 179,705 174,643 154RI 0 0 0 0 0 0 0 0 0 0 0 0 SC 149,619 156,200 138,182 136,788 136,174 135,090 133,783 130,689 128,119 125,319 117,547 82,933 80SD 13,453 13,459 13,458 13,459 12,788 12,788 12,788 12,066 11,513 11,047 11,046 11,044 11TN 596,992 600,071 154,093 130,672 127,444 127,171 127,171 127,171 127,315 125,697 123,102 108,200 109TX 327,905 373,978 369,800 369,021 368,499 368,112 345,840 345,856 345,723 345,278 342,660 343,326 340VT 351 351 351 351 351 351 351 351 351 351 351 351 VA 146,252 136,831 133,900 133,525 110,471 110,002 108,977 107,564 107,294 105,985 102,708 92,542 74WV 588,392 496,307 178,643 169,763 163,899 161,910 160,746 160,334 155,448 159,653 158,379 142,503 138WI 107,459 117,397 111,279 107,783 108,244 107,403 97,496 96,133 94,401 92,357 91,623 89,262 88

*Source: Integrated Planning Model run by EPA, 2010. See Appendix A for list and description of these IPM runs. Emissions have been rounded to the nearest ton. Fomarginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows system-wide electrical demand to be met at a low(because the model is optimizing for overall system cost, not for lowest SO2 cost).
32

Table 1-5. 2012 NOx Ozone Season EGU Emissions* for Each State at Various 

Pollution Control Marginal Costs per Ton of Reduction (Tons).

Year 2012 2012 2012 2012 2012 2012 2012 2012 2012 

Marginal 

Cost per 

Ton $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 29,937 30,004 30,005 29,904 29,562 29,562 29,537 29,439 29,185 

AR 20,558 11,225 11,303 11,393 11,338 11,434 11,341 11,355 11,438 

CT 3,438 3,418 3,418 3,418 3,418 3,418 3,418 3,422 3,426 

DE 1,944 2,117 2,117 2,094 2,055 2,054 2,055 2,055 2,054 

DC 391 393 393 393 394 394 394 393 394 

FL 101,367 73,740 59,664 58,754 58,650 58,533 58,506 57,733 57,302 

GA 35,194 33,320 33,343 33,177 33,151 32,956 32,956 32,956 32,831 

IL 24,346 24,407 24,526 24,570 24,616 24,643 24,639 24,693 24,592 

IN 50,923 50,081 48,632 47,708 47,317 46,697 46,558 46,024 45,801 

IA 28,574 23,662 22,101 22,067 21,819 22,048 22,189 22,085 21,447 

KS 30,594 14,542 14,838 14,929 14,225 14,287 14,122 14,002 13,963 

KY 30,989 30,676 30,340 30,065 30,053 29,539 29,407 29,215 28,575 

LA 21,672 17,204 17,103 16,997 17,017 17,075 17,107 17,110 17,112 

ME 3,062 3,007 3,007 3,007 3,007 3,007 3,007 3,007 3,007 

MD 14,134 14,130 14,130 14,098 13,993 13,893 13,895 13,879 13,897 

MA 5,166 5,532 5,532 5,532 5,536 5,536 5,534 5,534 5,533 

MI 29,583 29,667 29,694 29,702 29,733 29,589 28,640 28,386 28,326 

MN 23,540 16,310 16,487 16,524 16,532 16,450 16,489 16,566 16,302 

MS 16,883 8,498 8,236 8,236 8,238 8,238 8,238 8,238 8,249 

MO 33,983 33,552 31,972 31,161 31,299 30,455 30,527 30,199 27,310 

NE 23,125 15,020 15,020 14,700 14,508 14,508 14,508 14,508 14,510 

NH 4,724 4,684 4,622 4,622 4,537 4,537 4,537 4,452 4,135 

NJ 7,096 7,098 7,098 6,956 6,934 6,720 6,705 6,669 6,624 

NY 15,836 15,795 15,805 15,811 15,792 15,770 15,858 15,849 15,760 

NC 27,046 27,051 27,064 27,021 27,021 27,021 27,021 27,077 26,909 

ND 26,038 21,465 20,891 20,529 20,529 20,529 20,025 19,509 19,311 

OH 41,988 41,471 41,361 41,170 41,315 41,555 41,834 41,761 41,585 

OK 43,180 27,194 27,119 26,831 26,693 26,468 26,364 26,300 26,125 

PA 50,954 50,915 50,967 50,632 50,375 49,992 49,871 49,528 47,567 

RI 116 116 117 117 117 117 117 117 117 

SC 15,842 15,842 15,717 15,310 15,310 15,239 14,960 14,910 14,962 

SD 6,796 5,960 5,960 5,960 4,957 4,957 4,592 4,599 4,578 

TN 11,634 11,630 11,628 11,628 11,628 11,628 11,628 11,628 11,644 

TX 78,868 66,964 66,930 66,863 66,551 65,779 65,814 65,814 65,817 

VT 333 333 333 333 333 333 333 333 333 

VA 17,622 17,603 17,601 17,594 17,575 17,553 17,485 17,442 16,770 

WV 24,004 23,700 23,393 23,467 22,199 22,535 22,088 22,297 18,237 

WI 21,220 16,924 16,826 16,775 16,623 16,649 16,644 16,471 16,376 

*Source: Integrated Planning Model run by EPA, 2010. See Appendix A for list and description of these IPM runs. Emissions have 

been rounded to the nearest ton. For some smaller states at some marginal costs of reductions, a higher marginal cost option may be 

chosen over a lower marginal cost option if it allows system-wide electrical demand to be met at a lower system-wide total cost 

(because the model is optimizing for overall system cost, not for lowest NOx cost).
33

Table 1-6. 2014 NOx Ozone Season EGU Emissions* for Each State at Various 

Pollution Control Marginal Costs per Ton of Reduction (Tons). 

Year 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal 

Cost perTon $0 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 29,937 26,995 27,102 27,095 27,063 26,826 26,830 26,746 26,455 25,641 

AR 20,558 21,667 11,925 11,930 11,661 11,502 11,213 11,326 11,474 11,556 

CT 3,438 3,446 3,446 3,446 3,446 3,446 3,446 3,446 3,446 3,446 

DE 1,944 2,367 2,565 2,567 2,565 2,565 2,566 2,564 2,565 2,561 

DC 391 391 393 393 393 394 394 394 393 394 

FL 101,367 94,686 71,803 57,578 56,977 56,527 55,991 52,694 43,185 37,490 

GA 35,194 21,947 20,211 20,006 19,786 19,786 19,813 19,595 19,618 19,390 

IL 24,346 24,167 24,243 24,365 24,415 24,398 24,355 24,233 24,255 24,337 

IN 50,923 49,023 48,444 47,697 47,202 46,755 46,566 46,046 43,754 43,044 

IA 28,574 29,960 24,828 23,165 23,048 23,080 22,585 22,004 21,742 20,410 

KS 30,594 34,537 16,476 16,498 16,447 16,402 16,207 15,947 14,998 14,850 

KY 30,989 29,927 29,940 29,622 29,254 29,259 29,011 28,973 28,756 28,062 

LA 21,672 21,443 17,361 17,364 17,401 17,411 17,411 17,411 13,266 12,895 

ME 3,062 3,061 2,991 2,991 2,991 2,855 2,690 2,615 2,621 2,637 

MD 14,134 15,244 15,352 15,379 15,369 15,466 15,490 15,449 15,464 15,431 

MA 5,166 5,323 5,542 5,542 5,542 5,543 5,555 5,574 5,567 5,550 

MI 29,583 29,934 29,944 29,958 29,799 28,534 28,554 28,541 28,539 28,043 

MN 23,540 24,072 16,584 16,765 16,947 16,706 16,816 16,837 16,787 16,502 

MS 16,883 16,955 8,274 8,274 8,271 8,271 8,271 8,271 8,268 6,561 

MO 33,983 36,185 35,880 34,838 34,456 34,006 33,900 32,805 26,189 24,308 

NE 23,125 23,324 15,104 15,170 15,170 15,162 12,547 12,575 12,553 12,552 

NH 4,724 4,724 4,693 4,693 4,622 4,622 4,622 4,537 4,537 4,537 

NJ 7,096 10,470 10,376 10,335 10,317 10,164 10,121 10,115 10,116 8,547 

NY 15,836 17,257 16,982 16,776 15,761 15,749 15,621 14,951 14,940 14,756 

NC 27,046 27,018 26,949 26,918 27,008 26,958 26,820 26,793 26,776 25,957 

ND 26,038 26,042 21,471 21,471 20,897 20,536 13,544 13,540 13,512 11,336 

OH 41,988 44,753 44,032 43,328 43,372 41,984 41,906 41,549 41,458 37,715 

OK 43,180 38,546 24,302 24,302 24,195 24,057 22,833 22,745 22,572 19,622 

PA 50,954 53,263 52,820 52,208 52,154 52,357 52,132 51,949 51,950 40,883 

RI 116 126 115 115 115 115 115 120 119 119 

SC 15,842 15,730 15,542 15,269 15,200 15,083 14,871 14,793 14,744 14,655 

SD 6,796 6,814 5,978 5,978 5,978 873 873 883 883 883 

TN 11,634 12,021 12,017 11,997 11,739 11,722 11,739 11,739 11,747 11,719 

TX 78,868 79,572 68,842 68,152 68,003 67,485 66,388 66,270 66,310 66,066 

VT 333 333 333 333 333 333 333 333 333 333 

VA 17,622 16,327 16,195 15,672 15,626 15,625 15,589 15,661 15,622 15,276 

WV 24,004 24,339 24,251 23,919 21,381 21,554 20,261 20,286 19,024 18,899 

WI 21,220 23,454 18,878 18,869 18,704 18,614 18,467 18,079 18,014 17,442 

*Source: Integrated Planning Model run by EPA, 2010. See Appendix A for list and description of these IPM runs. Emissions have 

been rounded to the nearest ton. For some smaller states at some marginal costs of reductions, a higher marginal cost option may be 

chosen over a lower marginal cost option if it allows system-wide electrical demand to be met at a lower system-wide total cost 

(because the model is optimizing for overall system cost, not for lowest NOx cost).
DRAFT – Do Not Cite or Quote – April 30, 2010 

34 

Table 2-1. The Monitor Identification Number, State, County, and Average and 

Maximum Design Values (DV) in the 2012 Base Case for Annual PM2.5*. Monitors 

Are in Order by Decreasing Average DV.

Monitor 

Identification 

Number 

Receptor 

State 

Receptor 

County 

2012 Base 

Case Avg. 

DV 

2012 Base 

Case Max. DV 

420030064 Pennsylvania Allegheny 18.9 19.31 

010730023 Alabama Jefferson 17.15 17.32 

390618001 Ohio Hamilton 16.93 17.27 

390610014 Ohio Hamilton 16.69 16.93 

261630033 Michigan Wayne 16.57 17.19 

171191007 Illinois Madison 16.56 16.85 

390610042 Ohio Hamilton 16.33 16.71 

390350038 Ohio Cuyahoga 16.26 16.95 

390350060 Ohio Cuyahoga 16.02 16.54 

131210039 Georgia Fulton 16.01 16.04 

010732003 Alabama Jefferson 15.99 16.35 

180190006 Indiana Clark 15.96 16.16 

180970081 Indiana Marion 15.93 16.24 

180970083 Indiana Marion 15.77 16.15 

390617001 Ohio Hamilton 15.65 16.03 

171630010 Illinois Saint Clair 15.48 15.63 

390350045 Ohio Cuyahoga 15.42 15.91 

130210007 Georgia Bibb 15.33 15.61 

540391005 West Virginia Kanawha 15.28 15.34 

390170016 Ohio Butler 15.25 15.61 

421330008 Pennsylvania York 15.25 15.93 

540110006 West Virginia Cabell 15.25 15.5 

420070014 Pennsylvania Beaver 15.23 15.3 

211110043 Kentucky Jefferson 15.19 15.41 

420710007 Pennsylvania Lancaster 15.18 16.01 

180970078 Indiana Marion 15.18 15.35 

170310052 Illinois Cook 15.16 15.42 

420031301 Pennsylvania Allegheny 15.13 15.42 

130630091 Georgia Clayton 15.07 15.29 

180372001 Indiana Dubois 15.07 15.57 

261630015 Michigan Wayne 15.05 15.55 

390610043 Ohio Hamilton 15.05 15.32 

390610040 Ohio Hamilton 15.03 15.4 

391130032 Ohio Montgomery 15.01 15.37 

391510017 Ohio Stark 14.99 15.4 

360610056 New York New York 14.98 15.74 

390350065 Ohio Cuyahoga 14.96 15.4 

540030003 West Virginia Berkeley 14.95 15.2 

540490006 West Virginia Marion 14.96 15.18 

390811001 Ohio Jefferson 14.95 15.54 

540090005 West Virginia Brooke 14.95 15.22 

211110044 Kentucky Jefferson 14.93 15.09 

170316005 Illinois Cook 14.92 15.48 

482011035 Texas Harris 14.74 15.14 

170313301 Illinois Cook 14.73 15.06 

390350027 Ohio Cuyahoga 14.5 15.13 

540291004 West Virginia Hancock 14.34 15.15 

*For details see section IV.C of the preamble.
DRAFT – Do Not Cite or Quote – April 30, 2010 

35 

Table 2-2. The Monitor Identification Number, State, County, and Average and 

Maximum Design Values (DV) in the 2012 Base Case for Daily PM2.5*. Monitors 

Are in Order by Decreasing Average DV.

Monitor 

Identification 

Number 

Receptor State Receptor County 2012 Base Case 

Avg. DV 

2012 Base 

Case Max. 

DV 

420030064 Pennsylvania Allegheny 58.8 62.3 

261630033 Michigan Wayne 42.1 42.6 

390350038 Ohio Cuyahoga 41.2 44 

420030093 Pennsylvania Allegheny 41.1 46.2 

170311016 Illinois Cook 41 44.1 

261630016 Michigan Wayne 40.6 43 

180970043 Indiana Marion 40.5 42 

390170003 Ohio Butler 40.3 42.3 

180970066 Indiana Marion 40.3 41.8 

420210011 Pennsylvania Cambria 40.3 40.7 

180970081 Indiana Marion 40.1 41.1 

010730023 Alabama Jefferson 40 40.7 

171191007 Illinois Madison 40 40.6 

540090011 West Virginia Brooke 39.9 40.8 

390618001 Ohio Hamilton 39.6 40.3 

390350060 Ohio Cuyahoga 39.4 42.8 

171190023 Illinois Madison 39.4 40.2 

180970083 Indiana Marion 39 39.3 

550790043 Wisconsin Milwaukee 38.8 39.7 

180970078 Indiana Marion 38.7 39.7 

261630019 Michigan Wayne 38.6 39.1 

170310052 Illinois Cook 38.5 39.7 

261630015 Michigan Wayne 38.5 39.1 

390170017 Ohio Butler 38.5 38.5 

261470005 Michigan St. Clair 38.4 39.4 

170313301 Illinois Cook 38.2 41 

340172002 New Jersey Hudson 38.2 38.2 

180190006 Indiana Clark 38.1 40.2 

261610008 Michigan Washtenaw 38.1 39.8 

010732003 Alabama Jefferson 38.1 38.9 

170313103 Illinois Cook 38.1 38.7 

420031008 Pennsylvania Allegheny 38 39.3 

390610006 Ohio Hamilton 38 38 

261250001 Michigan Oakland 37.9 38.4 

390171004 Ohio Butler 37.8 38.6 

420710007 Pennsylvania Lancaster 37.7 40.1 

420070014 Pennsylvania Beaver 37.7 39.1 

550790010 Wisconsin Milwaukee 37.7 39 

390617001 Ohio Hamilton 37.7 38.1 

390610014 Ohio Hamilton 37.5 38.5 

390170016 Ohio Butler 37.5 37.8 

170316005 Illinois Cook 37.4 39.8 

180890022 Indiana Lake 37.3 42.1 

180970079 Indiana Marion 37.2 38.3 

171192009 Illinois Madison 37.2 38.2 

390610042 Ohio Hamilton 37.2 38 

360610056 New York New York 37.1 38 

420030116 Pennsylvania Allegheny 37.1 37.1 

261150005 Michigan Monroe 37 38 

210590005 Kentucky Daviess 37 37 

550790099 Wisconsin Milwaukee 36.8 37.7 

191630019 Iowa Scott 36.8 36.8 

340390004 New Jersey Union 36.7 37.2 

420031301 Pennsylvania Allegheny 36.6 38.6 

471251009 Tennessee Montgomery 36.6 37.9 

390490024 Ohio Franklin 36.6 37.6 
DRAFT – Do Not Cite or Quote – April 30, 2010 

36 

390811001 Ohio Jefferson 36.5 39.9 

390350065 Ohio Cuyahoga 36.5 38.9 

180372001 Indiana Dubois 36.5 38 

171193007 Illinois Madison 36.5 37.3 

295100087 Missouri St. Louis City 36.4 36.9 

550790026 Wisconsin Milwaukee 36.3 40.1 

180890026 Indiana Lake 36.3 39.3 

391130032 Ohio Montgomery 36.3 38.5 

245100040 Maryland Baltimore (City) 36.3 38.3 

170310076 Illinois Cook 36.3 37.3 

180970042 Indiana Marion 36.3 37.2 

261630036 Michigan Wayne 36.3 36.9 

360610128 New York New York 36.2 38 

390490025 Ohio Franklin 36.1 36.4 

390350045 Ohio Cuyahoga 36 39 

211110044 Kentucky Jefferson 36 36.5 

390610043 Ohio Hamilton 36 36.4 

295100007 Missouri St. Louis City 36 36.3 

421330008 Pennsylvania York 35.9 38.8 

181570008 Indiana Tippecanoe 35.9 36.9 

180830004 Indiana Knox 35.9 36.5 

420030008 Pennsylvania Allegheny 35.9 36.3 

360050080 New York Bronx 35.9 36.2 

390610040 Ohio Hamilton 35.8 36.8 

211110043 Kentucky Jefferson 35.8 36.4 

420430401 Pennsylvania Dauphin 35.7 37.1 

170310057 Illinois Cook 35.7 37 

090091123 Connecticut New Haven 35.7 36.6 

290990012 Missouri Jefferson 35.7 36.5 

340171003 New Jersey Hudson 35.7 36.1 

170312001 Illinois Cook 35.6 38.2 

391530017 Ohio Summit 35.6 37.2 

211110048 Kentucky Jefferson 35.6 36.4 

291831002 Missouri Saint Charles 35.5 37.1 

245100049 Maryland Baltimore (City) 35.5 35.5 

261630001 Michigan Wayne 35.4 37.8 

360610062 New York New York 35.3 37 

420410101 Pennsylvania Cumberland 35.3 37 

390810017 Ohio Jefferson 35.3 36.8 

171630010 Illinois Saint Clair 35.3 35.9 

295100085 Missouri St. Louis City 35.3 35.7 

181670023 Indiana Vigo 35.1 36.5 

550250047 Wisconsin Dane 35.1 36.1 

471650007 Tennessee Sumner 35.1 36 

171971002 Illinois Will 35.1 35.8 

210290006 Kentucky Bullitt 35 36.3 

170310022 Illinois Cook 34.9 36.6 

551330027 Wisconsin Waukesha 34.9 35.6 

550790059 Wisconsin Milwaukee 34.8 36.3 

245100035 Maryland Baltimore (City) 34.7 35.5 

390350027 Ohio Cuyahoga 34.5 36.6 

191390015 Iowa Muscatine 34.5 36 

211451004 Kentucky McCracken 34.4 36.8 

420030095 Pennsylvania Allegheny 34.3 36.6 

180431004 Indiana Floyd 34.3 35.7 

391130031 Ohio Montgomery 34.3 35.6 

391351001 Ohio Preble 34.3 35.5 

390950024 Ohio Lucas 34.2 36.5 

360610079 New York New York 34.2 36.4 

390990014 Ohio Mahoning 34.2 35.8 

170310050 Illinois Cook 34.1 35.8 

110010041 

District Of 

Columbia District Of Columbia 34 35.6 

540090005 West Virginia Brooke 33.9 36.1 

391550007 Ohio Trumbull 33.9 35.6 
DRAFT – Do Not Cite or Quote – April 30, 2010 

37 

421255001 Pennsylvania Washington 33.9 35.5 

420033007 Pennsylvania Allegheny 33.8 38.5 

240031003 Maryland Anne Arundel 33.8 36.7 

180390003 Indiana Elkhart 33.8 35.6 

212270007 Kentucky Warren 33.7 36.3 

390350034 Ohio Cuyahoga 33.7 35.7 

170314007 Illinois Cook 33.6 35.7 

390950026 Ohio Lucas 33.6 35.6 

110010042 

District Of 

Columbia District Of Columbia 33 35.6 

 *For details see section IV.C of the preamble. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

38 

Table 2-3. The Monitor Identification Number, State, County, and Average and 

Maximum Design Values (DV) in the 2012 Base Case for Ozone*. Monitors Are in 

Order by Decreasing Average DV.

Monitor 

Identification 

Number 

Receptor 

State 

Receptor 

County 

2012 

Base 

Case 

Avg. DV 

2012 

Base 

Case 

Max. DV 

482010055 Texas Harris 95.7 97.9 

482010062 Texas Harris 90.5 93.7 

482011039 Texas Harris 90.5 93.9 

482010066 Texas Harris 89.9 93.5 

480391004 Texas Brazoria 88.8 91 

482010051 Texas Harris 88.4 93.1 

220330003 Louisiana East Baton 

Rouge 87.8 91.6 

361030002 New York Suffolk 86.3 87.2 

421010024 Pennsylvania Philadelphia 85.3 86 

361030009 New York Suffolk 85.1 85.8 

484391002 Texas Tarrant 85.1 86.7 

090011123 Connecticut Fairfield 84.8 86.4 

361192004 New York Westchester 84.7 86.9 

481130087 Texas Dallas 84.6 85.6 

090013007 Connecticut Fairfield 84.5 86.4 

131210055 Georgia Fulton 84.4 86.5 

482010029 Texas Harris 84.4 85.6 

484392003 Texas Tarrant 84 85.2 

482011050 Texas Harris 83.9 86.5 

482011015 Texas Harris 83.7 90.3 

482010024 Texas Harris 83.3 87.1 

090010017 Connecticut Fairfield 83.1 85 

090093002 Connecticut New Haven 82.9 85.4 

481130069 Texas Dallas 82.9 85.8 

482011035 Texas Harris 82 90.3 

420170012 Pennsylvania Bucks 81.8 85.6 

130890002 Georgia DeKalb 81.6 85.6 

*For details see section IV.C of the preamble. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

39 

Table 2-4. State-by-State Annual Sulfate, Nitrate, and Total Sulfate Base Case 

(2012) Nitrate Contributions (g/m3

) from the Source Apportionment Air Quality 

Modeling for Three Monitor Locations. 

Sulfate 

Contributions 

Sulfate 

Contributions 

Sulfate 

Contributions 

Nitrate 

Contributions 

Nitrate 

Contributions 

Nitrate 

Contributions 

Total Nitrate 

and Sulfate 

Contributions 

Total Nitrate 

and Sulfate 

Contributions 

Total Nitrate 

and Sulfate 

Contributions 

Monitor 

Identification 

Number 420030064 010730023 390618001 420030064 010730023 390618001 420030064 010730023 390618001 

Receptor state Pennsylvania Alabama Ohio Pennsylvania Alabama Ohio Pennsylvania Alabama Ohio 

Receptor county Allegheny Jefferson Hamilton Allegheny Jefferson Hamilton Allegheny Jefferson Hamilton 

2012 Average 

Design Value 18.9 17.15 16.93 18.9 17.15 16.93 18.9 17.15 16.93 

2012 Max Design 

Value 19.31 17.33 17.27 19.31 17.33 17.27 19.31 17.33 17.27 

AL 0.04683 3.34916 0.12069 0.00103 0.14064 0.00729 0.04786 3.4898 0.12798 

AR 0.01496 0.03185 0.02805 0.00063 0.00239 0.00459 0.01559 0.03424 0.03264 

CT 0.00567 0.00647 0.00199 0.00047 0.00002 0.00013 0.00614 0.00649 0.00212 

DE 0.01494 0.01048 0.00598 0.00071 0.00002 0.00027 0.01565 0.0105 0.00625 

DC 0.00378 0.00576 0.00132 0.000631 0 0.000135 0.004411 0.00576 0.001455 

FL 0.01695 0.14907 0.02682 0.0001578 0.002796 0.0009447 0.0171078 0.151866 0.0277647 

GA 0.0746 0.604 0.13309 0.00079 0.01591 0.00324 0.07539 0.61991 0.13633 

IL 0.23684 0.17937 0.45752 0.0295 0.0027 0.10945 0.26634 0.18207 0.56697 

IN 0.37109 0.27861 1.0546 0.03905 0.00516 0.22876 0.41014 0.28377 1.28336 

IA 0.04963 0.04688 0.08549 0.00686 0.00108 0.02254 0.05649 0.04796 0.10803 

KS 0.0117 0.0222 0.01542 0.00229 0.00111 0.00756 0.01399 0.02331 0.02298 

KY 0.26582 0.27703 0.83593 0.01286 0.00655 0.15574 0.27868 0.28358 0.99167 

LA 0.01646 0.11358 0.03452 0.000237 0.006266 0.00135 0.016697 0.119846 0.03587 

ME 0.00515 0.00619 0.00199 0.000158 0 0.000135 0.005308 0.00619 0.002125 

MD 0.11165 0.02694 0.03033 0.01333 0.00017 0.00202 0.12498 0.02711 0.03235 

MA 0.0095 0.00762 0.00284 0.00047 0 0.00013 0.00997 0.00762 0.00297 

MI 0.25694 0.05659 0.29653 0.06571 0.00077 0.06181 0.32265 0.05736 0.35834 

MN 0.01941 0.01771 0.03074 0.00907 0.0008 0.02186 0.02848 0.01851 0.0526 

MS 0.00832 0.06883 0.01287 0.000316 0.0067 0.001889 0.008636 0.07553 0.014759 

MO 0.10199 0.13229 0.21346 0.00497 0.0028 0.02146 0.10696 0.13509 0.23492 

NE 0.01673 0.02606 0.02391 0.00237 0.00067 0.0058 0.0191 0.02673 0.02971 

NH 0.00454 0.00576 0.0015 0.00016 0 0.00013 0.0047 0.00576 0.00163 

NJ 0.02134 0.01262 0.00742 0.00331 0.00007 0.00054 0.02465 0.01269 0.00796 

NY 0.17904 0.02679 0.08853 0.01333 0.00017 0.00769 0.19237 0.02696 0.09622 

NC 0.05464 0.08477 0.04331 0.00142 0.00243 0.00229 0.05606 0.0872 0.0456 

ND 0.0144 0.01501 0.01718 0.00197 0.00024 0.00499 0.01637 0.01525 0.02217 

OH 1.10677 0.24356 2.08337 0.15541 0.00205 0.41054 1.26218 0.24561 2.49391 

OK 0.01462 0.02609 0.02227 0.00126 0.00106 0.00418 0.01588 0.02715 0.02645 

PA 2.08412 0.14717 0.49364 0.27437 0.0006 0.04548 2.35849 0.14777 0.53912 

RI 0.00395 0.00576 0.00136 0.000079 0 0 0.004029 0.00576 0.00136 

SC 0.02808 0.11088 0.02959 0.000316 0.001976 0.000945 0.028396 0.112856 0.030535 

SD 0.00611 0.00928 0.00519 0.00103 0.00019 0.00283 0.00714 0.00947 0.00802 

TN 0.16653 0.32083 0.47539 0.00347 0.0153 0.02335 0.17 0.33613 0.49874 

TX 0.02337 0.05818 0.0434 0.00118 0.004 0.00445 0.02455 0.06218 0.04785 

VT 0.003925 0.005756 0.001496 0.00016 0 0.00013 0.004085 0.005756 0.001626 

VA 0.11668 0.06094 0.06427 0.01002 0.00063 0.00378 0.1267 0.06157 0.06805 

WV 0.93538 0.12382 0.3372 0.04631 0.00048 0.02308 0.98169 0.1243 0.36028 

WI 0.05536 0.03085 0.08572 0.01381 0.00051 0.03293 0.06917 0.03136 0.11865 
DRAFT – Do Not Cite or Quote – April 30, 2010 

40 

Table 2-5. State-by-State Emissions* (Tons per Year) of NOx and SO2 for 2012 and 

2014 for the EGU Sector and “All Other” Sectors. 

 NOx NOx NOx NOx SO2 SO2 SO2 SO2

 Year 2012 2012 2014 2014 2012 2012 2014 2014 

State EGU All Other EGU All Other EGU All Other EGU All Other 

Alabama 121,809 242,362 118,420 223,318 335,734 126,563 322,130 124,923 

Arkansas 43,222 156,869 44,792 144,831 85,068 42,192 88,187 41,527 

Connecticut 2,770 72,030 2,821 64,263 5,493 21,900 5,512 21,911 

Delaware 4,639 35,048 4,513 32,840 7,841 31,129 7,806 31,829 

District of 

Columbia 2 9,801 1 8,567 0 2,296 0 2,291 

Florida 195,673 667,841 180,801 614,798 228,360 239,138 192,903 245,755 

Georgia 78,011 335,769 48,091 301,560 552,007 124,187 173,210 124,407 

Illinois 77,920 465,037 80,228 423,448 724,657 141,739 200,475 140,120 

Indiana 203,107 302,021 200,899 273,960 829,988 156,637 804,294 155,828 

Iowa 66,316 185,405 68,146 168,546 169,039 81,915 163,966 80,481 

Kansas 70,823 224,189 78,920 210,909 59,567 50,348 65,125 49,893 

Kentucky 149,179 197,220 148,509 177,282 718,980 62,269 739,592 59,163 

Louisiana 44,773 542,139 45,457 519,591 100,239 241,492 94,824 233,047 

Maine 3,139 61,421 2,535 57,368 15,759 32,701 11,650 32,990 

Maryland 17,376 164,356 19,990 151,990 49,078 93,594 42,635 93,474 

Massachusetts 6,312 185,598 6,619 175,476 16,299 75,358 16,299 77,591 

Michigan 96,874 382,081 97,455 347,514 287,807 127,325 275,637 127,237 

Minnesota 51,285 301,410 51,859 278,419 53,596 42,402 61,447 41,557 

Mississippi 37,517 185,284 37,142 169,490 46,432 34,734 48,149 33,928 

Missouri 77,571 276,514 82,979 250,333 445,643 125,118 500,649 122,824 

Nebraska 52,820 141,413 52,970 129,441 120,790 37,131 115,695 36,377 

New Hampshire 2,514 41,552 2,515 37,368 7,290 10,893 6,608 10,869 

New Jersey 15,987 204,424 16,268 187,739 37,746 43,581 37,669 44,917 

New York 25,755 397,827 28,350 365,814 144,074 197,743 141,354 196,340 

North Carolina 61,643 334,211 61,747 312,270 126,620 138,620 140,585 142,595 

North Dakota 59,547 76,563 59,556 70,696 77,383 16,338 80,320 16,087 

Ohio 159,627 393,318 164,945 353,916 946,667 129,826 841,194 128,212 

Oklahoma 86,858 282,309 81,122 266,668 156,032 45,759 165,773 45,496 

Pennsylvania 193,032 373,386 196,151 339,481 966,136 153,576 972,977 149,899 

Rhode Island 221 20,718 281 19,303 0 9,069 0 9,323 

South Carolina 47,762 191,141 47,512 176,993 149,515 85,331 156,096 87,033 

South Dakota 15,493 51,658 15,514 46,854 13,453 12,695 13,459 12,654 

Tennessee 68,425 270,741 68,779 243,104 596,987 112,196 600,066 111,581 

Texas 159,738 1,183,581 166,177 1,092,176 327,873 312,809 373,950 304,712 

Vermont 0 17,790 0 15,713 0 6,432 0 6,439 

Virginia 36,036 306,352 32,115 282,887 145,452 118,511 135,741 119,017 

West Virginia 102,725 104,690 100,103 97,605 588,392 57,254 496,307 56,910 

Wisconsin 49,351 208,195 53,774 187,970 107,365 74,466 117,253 74,209 

*see section IV.C of the preamble for more information about these emissions. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

41 

Table 2-6. Fraction Reduction* of EGU NOx Emissions Relative to the 2012 Base 

Case EGU Emissions from IPM for Each State at Various Pollution Control 

Marginal Costs per Ton of Reduction in 2012. 

Year 2012 2012 2012 2012 2012 2012 

Marginal Cost 

per Ton $0 $500 $750 $1,000 $1,250 $1,500 

State 

AL 0.0000 0.4307 0.4312 0.4312 0.4314 0.4319 

AR 0.0000 0.4538 0.4545 0.4525 0.4495 0.4503 

CT 0.0000 0.0012 0.0012 0.0006 0.0006 0.0006 

DE 0.0000 -0.0530 -0.0497 -0.0105 -0.0104 -0.0104 

DC 0.0000 -0.0049 -0.0049 -0.0059 -0.0060 -0.0060 

FL 0.0000 0.3171 0.4468 0.4486 0.4529 0.4534 

GA 0.0000 0.0283 0.0280 0.0275 0.0274 0.0303 

IL 0.0000 0.2675 0.2662 0.2676 0.2675 0.2666 

IN 0.0000 0.4263 0.4276 0.4307 0.4331 0.4402 

IA 0.0000 0.1816 0.2248 0.2310 0.2346 0.2344 

KS 0.0000 0.5347 0.5235 0.5261 0.5320 0.5354 

KY 0.0000 0.5048 0.5061 0.5104 0.5137 0.5151 

LA 0.0000 0.1944 0.1943 0.1967 0.1979 0.1981 

ME 0.0000 0.0257 0.0345 0.0393 0.0393 0.0393 

MD 0.0000 -0.0018 -0.0018 -0.0020 -0.0021 -0.0021 

MA 0.0000 -0.0320 -0.0320 -0.0320 -0.0320 -0.0319 

MI 0.0000 0.3100 0.3099 0.3097 0.3093 0.3095 

MN 0.0000 0.3126 0.3117 0.3082 0.3052 0.3053 

MS 0.0000 0.4935 0.4931 0.5026 0.5075 0.5075 

MO 0.0000 0.0119 0.0469 0.0671 0.0930 0.1126 

NE 0.0000 0.3498 0.3498 0.3498 0.3519 0.3579 

NH 0.0000 0.0036 0.0036 0.0092 0.0092 0.0092 

NJ 0.0000 0.1808 0.1808 0.1799 0.1793 0.1869 

NY 0.0000 0.0022 0.0033 0.0040 0.0042 0.0048 

NC 0.0000 0.0015 0.0015 0.0015 0.0015 0.0004 

ND 0.0000 0.1756 0.1756 0.1835 0.1852 0.2036 

OH 0.0000 0.3758 0.3763 0.3781 0.3830 0.3821 

OK 0.0000 0.4054 0.4062 0.4062 0.4073 0.4080 

PA 0.0000 0.4008 0.4055 0.4047 0.4066 0.4113 

RI 0.0000 -0.0223 -0.0223 -0.0256 -0.0256 -0.0256 

SC 0.0000 0.2412 0.2412 0.2423 0.2512 0.2509 

SD 0.0000 0.1231 0.1231 0.1822 0.1855 0.1889 

TN 0.0000 0.5843 0.5844 0.5844 0.5844 0.5844 

TX 0.0000 0.1571 0.1575 0.1574 0.1574 0.1594 

VT 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 

VA 0.0000 0.0099 0.0099 0.0099 0.0099 0.0097 

WV 0.0000 0.4536 0.4549 0.4631 0.4670 0.4679 

WI 0.0000 0.1870 0.1977 0.1984 0.2049 0.2133 

*Negative reduction fractions indicate states and marginal cost levels where there are 

modeled emissions increases over the 2012 base case emissions level. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

42 

Table 2-7. Fraction Reduction* of EGU NOx Emissions Relative to the 2012 Base 

Case EGU Emissions from IPM for Each State at Various Pollution Control 

Marginal Costs per Ton of Reduction in 2014.

Year 2012 2014 2014 2014 2014 2014 2014

Marginal 

Cost per Ton $0 $0 $500 $750 $1,000 $1,250 $1,500

State 

AL 0.0000 0.0277 0.4908 0.4904 0.4910 0.4906 0.4921

AR 0.0000 -0.0362 0.4251 0.4248 0.4242 0.4314 0.4317

CT 0.0000 -0.0064 -0.0085 -0.0085 -0.0077 -0.0068 -0.0058

DE 0.0000 -0.2357 -0.2850 -0.2848 -0.2448 -0.2443 -0.2440

DC 0.0000 0.0003 -0.0047 -0.0047 -0.0056 -0.0057 -0.0058

FL 0.0000 0.0730 0.3466 0.4600 0.4636 0.4649 0.4665

GA 0.0000 0.3827 0.4153 0.4205 0.4204 0.4201 0.4229

IL 0.0000 -0.0295 0.2776 0.2802 0.2816 0.2812 0.2822

IN 0.0000 0.0109 0.4373 0.4401 0.4399 0.4420 0.4399

IA 0.0000 -0.0276 0.1560 0.2055 0.2144 0.2188 0.2420

KS 0.0000 -0.1143 0.4669 0.4653 0.4716 0.4739 0.4934

KY 0.0000 0.0045 0.5145 0.5161 0.5182 0.5195 0.5202

LA 0.0000 -0.0155 0.1704 0.1699 0.1688 0.1686 0.1686

ME 0.0000 0.0744 0.0999 0.1131 0.1742 0.2177 0.2177

MD 0.0000 -0.0874 -0.0936 -0.0936 -0.0939 -0.0948 -0.0948

MA 0.0000 -0.0249 -0.0547 -0.0547 -0.0547 -0.0529 -0.0523

MI 0.0000 -0.0074 0.3048 0.3065 0.3096 0.3097 0.3116

MN 0.0000 -0.0279 0.2926 0.2878 0.2904 0.2905 0.2922

MS 0.0000 0.0099 0.5061 0.5061 0.5061 0.5061 0.5061

MO 0.0000 -0.0697 -0.0566 -0.0351 -0.0294 0.0663 0.2124

NE 0.0000 -0.0028 0.3486 0.3473 0.3484 0.4642 0.4644

NH 0.0000 -0.0001 0.0028 0.0028 0.0028 0.0028 0.0092

NJ 0.0000 -0.3979 -0.2108 -0.2107 -0.2108 -0.2055 -0.2053

NY 0.0000 -0.0768 -0.0484 0.0242 0.0272 0.0325 0.0665

NC 0.0000 -0.0017 -0.0005 0.0034 0.0029 0.0022 0.0028

ND 0.0000 -0.0002 0.1754 0.1754 0.1816 0.4658 0.4719

OH 0.0000 -0.0333 0.3510 0.3538 0.3570 0.3613 0.3884

OK 0.0000 0.0666 0.4242 0.4233 0.4228 0.4227 0.4235

PA 0.0000 -0.0318 0.3798 0.3809 0.3815 0.3825 0.3838

RI 0.0000 -0.2174 -0.1264 -0.1264 -0.1264 -0.1264 -0.1264

SC 0.0000 0.0052 0.2506 0.2571 0.2581 0.2586 0.2582

SD 0.0000 -0.0014 0.1218 0.1218 0.8745 0.8745 0.8747

TN 0.0000 -0.0051 0.5798 0.5798 0.5798 0.5798 0.5814

TX 0.0000 -0.0402 0.0896 0.0947 0.0959 0.1112 0.1115

VT 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

VA 0.0000 0.0879 0.1000 0.1000 0.0954 0.0928 0.1013

WV 0.0000 0.0255 0.4731 0.4751 0.4776 0.4788 0.5189

WI 0.0000 -0.0929 0.1119 0.1109 0.1222 0.1276 0.1375

*Negative reduction fractions indicate states and marginal cost levels where there are modeled 

emissions increases over the 2012 base case emissions level. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

43 

Table 2-8. Fraction Reduction* of EGU SO2 Emissions Relative to the 2012 Base Case EGU Emissions fro

State at Various Pollution Control Marginal Costs per Ton of Reduction in 2012.

2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 20

Marginal Cost per Ton $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,6State AL 0.0000 0.0653 0.1810 0.2705 0.4081 0.4442 0.4426 0.4445 0.4959 0.4982 0.5111 0.51AR 0.0000 -0.0002 0.0061 0.0047 0.0039 0.0069 0.0285 0.0303 0.0303 0.0292 0.0287 0.02CT 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 -0.0020 -0.00DE 0.0000 -0.1353 -0.1381 -0.1380 -0.1376 -0.1368 -0.1367 -0.1356 -0.1355 -0.1351 -0.1351 -0.13DC 0.0000 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0152 -0.0058 -0.00FL 0.0000 0.1053 0.2497 0.2362 0.3706 0.4664 0.4655 0.4704 0.4692 0.5013 0.5114 0.51GA 0.0000 0.0051 0.4979 0.4995 0.5020 0.4936 0.5062 0.5085 0.5357 0.5593 0.5597 0.56IL 0.0000 0.3550 0.4831 0.5405 0.6233 0.6314 0.6311 0.6363 0.6392 0.6465 0.6561 0.65IN 0.0000 0.3883 0.4988 0.5480 0.5571 0.5832 0.5887 0.6135 0.6158 0.6526 0.6594 0.66IA 0.0000 0.1128 0.2107 0.2353 0.2446 0.2495 0.3211 0.3807 0.3802 0.3795 0.3837 0.38KS 0.0000 -0.0239 -0.0383 0.0966 0.0106 0.1891 0.2456 0.2494 0.2904 0.2981 0.2991 0.30KY 0.0000 0.5901 0.6073 0.6178 0.6323 0.6481 0.6611 0.6838 0.6995 0.7031 0.7186 0.72LA 0.0000 0.0100 0.0452 0.0452 0.0452 0.0452 0.0493 0.0493 0.0493 0.0493 0.0493 0.04ME 0.0000 0.0000 0.0481 0.0464 0.0464 0.0464 0.0464 0.3121 0.4153 0.4329 0.6025 0.77MD 0.0000 -0.0003 -0.0003 -0.0003 0.1292 0.1566 0.1679 0.1672 0.1694 0.2210 0.2358 0.23MA 0.0000 -0.0537 -0.0537 -0.0537 0.4235 0.4235 0.4235 0.4235 0.4235 0.4235 0.4235 0.42MI 0.0000 0.0536 0.1086 0.1439 0.2599 0.2673 0.2743 0.2831 0.2793 0.2791 0.2816 0.28MN 0.0000 -0.0037 0.0573 0.0991 0.1105 0.1093 0.1093 0.1093 0.1055 0.1063 0.1065 0.09MS 0.0000 0.0000 0.0000 0.0000 0.0088 0.0091 0.0089 0.0090 0.0000 0.0021 0.0019 0.00MO 0.0000 0.4427 0.4978 0.5028 0.5102 0.5124 0.5269 0.5554 0.5622 0.5640 0.5646 0.56NE 0.0000 0.0074 0.0118 0.0251 0.0572 0.1153 0.3452 0.3761 0.3853 0.3895 0.3906 0.39NH 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.00NJ 0.0000 0.0000 0.3239 0.3265 0.3407 0.4956 0.4956 0.4956 0.4998 0.4896 0.4896 0.49NY 0.0000 0.0000 0.0000 0.0044 0.0037 0.0067 0.0131 0.0139 0.1102 0.1716 0.1763 0.18NC 0.0000 0.0855 0.0216 0.0615 0.0944 0.1200 0.1212 0.1556 0.1650 0.1657 0.2112 0.19ND 0.0000 0.0211 0.0211 0.0221 0.0221 0.0221 0.4284 0.4284 0.4284 0.4425 0.4425 0.44OH 0.0000 0.4033 0.5148 0.5413 0.5706 0.6185 0.6520 0.6820 0.6910 0.6936 0.7218 0.73OK 0.0000 -0.0240 0.0048 0.1400 0.2771 0.2595 0.3293 0.3293 0.3293 0.3293 0.3293 0.32PA 0.0000 0.1247 0.5729 0.6199 0.6364 0.6705 0.6839 0.7000 0.7050 0.7135 0.7498 0.75RI 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.00SC 0.0000 0.0481 0.0188 0.0344 0.0636 0.0684 0.0785 0.0867 0.1415 0.1836 0.1871 0.20SD 0.0000 0.0000 0.0499 0.0499 0.0499 0.1140 0.1140 0.1140 0.1140 0.1140 0.1140 0.11TN 0.0000 0.5904 0.7810 0.7842 0.7867 0.7870 0.7870 0.7886 0.7886 0.7884 0.7887 0.79TX 0.0000 0.0035 0.0266 0.0305 0.0309 0.0990 0.0991 0.1024 0.1027 0.1033 0.1037 0.10VT 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.00VA 0.0000 0.0002 0.0789 0.1596 0.1642 0.1642 0.1689 0.1808 0.2082 0.2394 0.2409 0.25WV 0.0000 0.6455 0.6803 0.7094 0.7469 0.7565 0.7598 0.7758 0.7855 0.7874 0.7912 0.79WI 0.0000 0.0553 0.0815 0.0847 0.0531 0.1414 0.1399 0.1892 0.1905 0.1973 0.1628 0.14

*Negative reduction fractions indicate states and marginal cost levels where there are modeled emissions increascase emissions level. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

44 

Table 2-9. Fraction Reduction* of EGU SO2 Emissions Relative to the 2012 Base Case EGU Emissions fro

State at Various Pollution Control Marginal Costs per Ton of Reduction in 2014.

*Negative reduction fractions indicate states and marginal cost levels where there are modeled emissions increascase emissions level. 

2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 20

Marginal Cost per Ton $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,6State AL 0.0000 0.0405 0.0864 0.2341 0.3130 0.4738 0.4908 0.5012 0.5047 0.5055 0.5222 0.5640 0.69AR 0.0000 -0.0366 -0.0369 -0.0035 -0.0039 -0.0038 -0.0038 -0.0038 -0.0042 -0.0040 -0.0045 0.0101 0.01CT 0.0000 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 0.4518 0.45DE 0.0000 -0.0304 -0.1573 -0.1601 -0.1624 -0.1624 -0.1626 -0.1632 -0.1632 -0.1632 -0.1083 -0.1103 -0.11DC 0.0000 0.0000 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0152 -0.0058 -0.00FL 0.0000 0.1544 0.2282 0.2566 0.2578 0.3991 0.4917 0.4903 0.4921 0.5091 0.5125 0.5178 0.63GA 0.0000 0.6862 0.7001 0.7537 0.7521 0.7581 0.7585 0.7615 0.7659 0.7885 0.8053 0.8166 0.82IL 0.0000 0.7233 0.7452 0.7721 0.7733 0.7722 0.7723 0.7721 0.7721 0.7743 0.7725 0.7726 0.77IN 0.0000 0.0310 0.4236 0.4787 0.5760 0.5858 0.6047 0.6078 0.6235 0.6495 0.6541 0.6573 0.68IA 0.0000 0.0300 0.1693 0.2317 0.2887 0.3362 0.3728 0.3753 0.3809 0.3775 0.3817 0.3852 0.38KS 0.0000 -0.0933 -0.0804 0.0627 0.1779 0.1752 0.1764 0.2075 0.2185 0.2282 0.2329 0.2352 0.24KY 0.0000 -0.0287 0.6169 0.6240 0.6481 0.6543 0.6552 0.6620 0.6775 0.7281 0.7415 0.7523 0.77LA 0.0000 0.0540 0.0540 0.0540 0.0533 0.0533 0.0533 0.0533 0.0531 0.0531 0.0531 0.0531 0.05ME 0.0000 0.2403 0.2403 0.2403 0.4016 0.4584 0.4639 0.4639 0.4639 0.7230 0.9067 0.9067 0.90MD 0.0000 0.1279 0.1227 0.1226 0.1225 0.1229 0.1229 0.1229 0.1228 0.1228 0.1223 0.1222 0.12MA 0.0000 0.0000 -0.0537 -0.0537 -0.0477 0.4328 0.4328 0.4328 0.4328 0.4329 0.4329 0.4329 0.45MI 0.0000 0.0421 0.1170 0.1207 0.1452 0.2498 0.2574 0.2682 0.2704 0.2741 0.2767 0.2805 0.28MN 0.0000 -0.1484 -0.0546 -0.0124 0.0530 0.0543 0.0976 0.1094 0.1107 0.1096 0.1089 0.1069 0.10MS 0.0000 -0.0369 0.0056 -0.0069 0.0080 0.0089 0.0067 0.0000 0.0000 0.0000 0.0000 0.0000 0.01MO 0.0000 -0.1234 0.3505 0.4650 0.4858 0.4982 0.5223 0.5213 0.5209 0.5234 0.5254 0.5242 0.53NE 0.0000 0.0422 0.0128 0.0641 0.2675 0.3567 0.3873 0.3948 0.3951 0.3990 0.4077 0.4112 0.41NH 0.0000 0.0872 0.0872 0.0872 0.0872 0.0872 0.0872 0.0957 0.0000 0.0000 0.0000 0.0000 0.00NJ 0.0000 -0.0414 -0.0378 0.3002 0.3003 0.4586 0.4570 0.4546 0.4590 0.4589 0.4594 0.4649 0.53NY 0.0000 0.0187 0.0266 0.0194 0.0258 0.0577 0.0696 0.0959 0.1804 0.1876 0.2154 0.2193 0.24NC 0.0000 -0.1100 -0.1100 -0.1098 -0.0554 -0.0559 -0.0241 -0.0159 0.0906 0.1012 0.1120 0.1785 0.22ND 0.0000 -0.0380 0.0210 0.0210 0.2506 0.4283 0.4283 0.4283 0.4283 0.4284 0.4424 0.4425 0.44OH 0.0000 0.1114 0.3846 0.4157 0.4515 0.5599 0.5686 0.6197 0.6597 0.6894 0.7049 0.7251 0.74OK 0.0000 -0.0624 -0.0624 0.1934 0.2895 0.2895 0.2895 0.2895 0.2891 0.2891 0.2891 0.2891 0.28PA 0.0000 -0.0078 0.1468 0.5435 0.5869 0.6365 0.6516 0.7581 0.7674 0.7910 0.8142 0.8194 0.83RI 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.00SC 0.0000 -0.0440 0.0764 0.0858 0.0899 0.0971 0.1058 0.1265 0.1437 0.1624 0.2144 0.4457 0.46SD 0.0000 -0.0004 -0.0004 -0.0004 0.0494 0.0494 0.0494 0.1031 0.1442 0.1788 0.1789 0.1790 0.17TN 0.0000 -0.0052 0.7419 0.7811 0.7865 0.7870 0.7870 0.7870 0.7867 0.7894 0.7938 0.8188 0.81TX 0.0000 -0.1405 -0.1278 -0.1254 -0.1238 -0.1226 -0.0547 -0.0547 -0.0543 -0.0530 -0.0450 -0.0470 -0.03VT 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.00VA 0.0000 0.0644 0.0845 0.0870 0.2447 0.2479 0.2549 0.2645 0.2664 0.2753 0.2977 0.3672 0.48WV 0.0000 0.1565 0.6964 0.7115 0.7214 0.7248 0.7268 0.7275 0.7358 0.7287 0.7308 0.7578 0.76WI 0.0000 -0.0925 -0.0355 -0.0030 -0.0073 0.0005 0.0927 0.1054 0.1215 0.1405 0.1474 0.1693 0.17
DRAFT – Do Not Cite or Quote – April 30, 2010 

45 

Table 2-10. Fraction Reduction* of EGU NOx Emissions Relative to the 2012 Base Case EGU 

Emissions from IPM for Each State at Various Pollution Control Marginal Costs per Ton of 

Reduction for Ozone Season in 2012. 

Year 2012 2012 2012 2012 2012 2012 2012 2012 2012 

Marginal 

Cost per Ton $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 0.0000 -0.0022 -0.0023 0.0011 0.0125 0.0125 0.0133 0.0166 0.0251 

AR 0.0000 0.4540 0.4502 0.4458 0.4485 0.4438 0.4483 0.4477 0.4436 

CT 0.0000 0.0056 0.0056 0.0056 0.0056 0.0056 0.0056 0.0046 0.0035 

DE 0.0000 -0.0888 -0.0888 -0.0767 -0.0567 -0.0566 -0.0567 -0.0567 -0.0565 

DC 0.0000 -0.0054 -0.0049 -0.0057 -0.0058 -0.0058 -0.0059 -0.0049 -0.0063 

FL 0.0000 0.2725 0.4114 0.4204 0.4214 0.4226 0.4228 0.4305 0.4347 

GA 0.0000 0.0532 0.0526 0.0573 0.0580 0.0636 0.0636 0.0636 0.0671 

IL 0.0000 -0.0025 -0.0074 -0.0092 -0.0111 -0.0122 -0.0120 -0.0143 -0.0101 

IN 0.0000 0.0165 0.0450 0.0631 0.0708 0.0830 0.0857 0.0962 0.1006 

IA 0.0000 0.1719 0.2266 0.2277 0.2364 0.2284 0.2234 0.2271 0.2494 

KS 0.0000 0.5247 0.5150 0.5120 0.5350 0.5330 0.5384 0.5423 0.5436 

KY 0.0000 0.0101 0.0209 0.0298 0.0302 0.0468 0.0511 0.0573 0.0779 

LA 0.0000 0.2062 0.2108 0.2157 0.2148 0.2121 0.2107 0.2105 0.2104 

ME 0.0000 0.0181 0.0181 0.0181 0.0181 0.0181 0.0181 0.0181 0.0181 

MD 0.0000 0.0002 0.0003 0.0025 0.0099 0.0170 0.0169 0.0180 0.0167 

MA 0.0000 -0.0709 -0.0709 -0.0709 -0.0716 -0.0716 -0.0713 -0.0713 -0.0710 

MI 0.0000 -0.0028 -0.0038 -0.0040 -0.0051 -0.0002 0.0319 0.0405 0.0425 

MN 0.0000 0.3072 0.2996 0.2980 0.2977 0.3012 0.2996 0.2963 0.3075 

MS 0.0000 0.4967 0.5122 0.5122 0.5121 0.5121 0.5120 0.5120 0.5114 

MO 0.0000 0.0127 0.0592 0.0830 0.0790 0.1038 0.1017 0.1113 0.1964 

NE 0.0000 0.3505 0.3505 0.3643 0.3726 0.3726 0.3726 0.3726 0.3725 

NH 0.0000 0.0084 0.0216 0.0216 0.0396 0.0396 0.0396 0.0576 0.1247 

NJ 0.0000 -0.0002 -0.0002 0.0197 0.0229 0.0530 0.0552 0.0603 0.0665 

NY 0.0000 0.0026 0.0019 0.0016 0.0028 0.0041 -0.0014 -0.0008 0.0048 

NC 0.0000 -0.0002 -0.0007 0.0009 0.0009 0.0009 0.0009 -0.0012 0.0051 

ND 0.0000 0.1756 0.1977 0.2116 0.2116 0.2116 0.2310 0.2508 0.2584 

OH 0.0000 0.0123 0.0149 0.0195 0.0160 0.0103 0.0037 0.0054 0.0096 

OK 0.0000 0.3702 0.3720 0.3786 0.3818 0.3870 0.3894 0.3909 0.3950 

PA 0.0000 0.0007 -0.0003 0.0063 0.0114 0.0189 0.0213 0.0280 0.0665 

RI 0.0000 0.0000 -0.0077 -0.0077 -0.0077 -0.0077 -0.0077 -0.0077 -0.0086 

SC 0.0000 0.0000 0.0079 0.0336 0.0336 0.0380 0.0556 0.0588 0.0555 

SD 0.0000 0.1229 0.1229 0.1229 0.2705 0.2705 0.3242 0.3233 0.3263 

TN 0.0000 0.0003 0.0005 0.0005 0.0005 0.0005 0.0005 0.0005 -0.0009 

TX 0.0000 0.1509 0.1514 0.1522 0.1562 0.1660 0.1655 0.1655 0.1655 

VT 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 

VA 0.0000 0.0011 0.0012 0.0016 0.0027 0.0039 0.0078 0.0102 0.0484 

WV 0.0000 0.0127 0.0255 0.0224 0.0752 0.0612 0.0798 0.0711 0.2403 

WI 0.0000 0.2025 0.2071 0.2095 0.2167 0.2154 0.2157 0.2238 0.2283 

*Negative reduction fractions indicate states and marginal cost levels where there are modeled 

emissions increases over the 2012 base case emissions level. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

46 

Table 2-11. Fraction Reduction* of EGU NOx Emissions Relative to the 2012 Base Case EGU 

Emissions from IPM for Each State at Various Pollution Control Marginal Costs per Ton of 

Reduction for Ozone Season in 2014. 

Year 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal 

Cost per 

Ton $0 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 0.0000 0.0983 0.0947 0.0949 0.0960 0.1039 0.1038 0.1066 0.1163 0.1435 

AR 0.0000 -0.0539 0.4200 0.4197 0.4328 0.4405 0.4545 0.4491 0.4419 0.4379 

CT 0.0000 -0.0023 -0.0023 -0.0023 -0.0023 -0.0023 -0.0023 -0.0024 -0.0023 -0.0023 

DE 0.0000 -0.2175 -0.3193 -0.3202 -0.3193 -0.3191 -0.3197 -0.3189 -0.3191 -0.3170 

DC 0.0000 0.0000 -0.0054 -0.0049 -0.0057 -0.0058 -0.0058 -0.0059 -0.0049 -0.0063 

FL 0.0000 0.0659 0.2916 0.4320 0.4379 0.4424 0.4476 0.4802 0.5740 0.6302 

GA 0.0000 0.3764 0.4257 0.4315 0.4378 0.4378 0.4370 0.4432 0.4426 0.4490 

IL 0.0000 0.0073 0.0042 -0.0008 -0.0028 -0.0021 -0.0004 0.0046 0.0037 0.0004 

IN 0.0000 0.0373 0.0487 0.0633 0.0731 0.0818 0.0856 0.0958 0.1408 0.1547 

IA 0.0000 -0.0485 0.1311 0.1893 0.1934 0.1923 0.2096 0.2299 0.2391 0.2857 

KS 0.0000 -0.1289 0.4615 0.4608 0.4624 0.4639 0.4703 0.4788 0.5098 0.5146 

KY 0.0000 0.0343 0.0339 0.0441 0.0560 0.0558 0.0639 0.0651 0.0721 0.0945 

LA 0.0000 0.0106 0.1989 0.1988 0.1971 0.1966 0.1966 0.1966 0.3879 0.4050 

ME 0.0000 0.0005 0.0233 0.0233 0.0233 0.0676 0.1214 0.1460 0.1442 0.1390 

MD 0.0000 -0.0785 -0.0862 -0.0881 -0.0874 -0.0942 -0.0959 -0.0931 -0.0941 -0.0918 

MA 0.0000 -0.0304 -0.0728 -0.0727 -0.0729 -0.0730 -0.0753 -0.0791 -0.0776 -0.0744 

MI 0.0000 -0.0119 -0.0122 -0.0127 -0.0073 0.0355 0.0348 0.0352 0.0353 0.0520 

MN 0.0000 -0.0226 0.2955 0.2878 0.2801 0.2903 0.2857 0.2848 0.2869 0.2990 

MS 0.0000 -0.0042 0.5100 0.5100 0.5101 0.5101 0.5101 0.5101 0.5103 0.6114 

MO 0.0000 -0.0648 -0.0558 -0.0252 -0.0139 -0.0007 0.0025 0.0347 0.2293 0.2847 

NE 0.0000 -0.0086 0.3469 0.3440 0.3440 0.3443 0.4574 0.4562 0.4572 0.4572 

NH 0.0000 0.0000 0.0066 0.0066 0.0216 0.0216 0.0216 0.0396 0.0396 0.0396 

NJ 0.0000 -0.4754 -0.4622 -0.4564 -0.4538 -0.4323 -0.4261 -0.4254 -0.4255 -0.2044 

NY 0.0000 -0.0898 -0.0724 -0.0594 0.0047 0.0055 0.0136 0.0559 0.0566 0.0682 

NC 0.0000 0.0011 0.0036 0.0047 0.0014 0.0033 0.0083 0.0093 0.0100 0.0403 

ND 0.0000 -0.0002 0.1754 0.1754 0.1974 0.2113 0.4798 0.4800 0.4811 0.5646 

OH 0.0000 -0.0659 -0.0487 -0.0319 -0.0330 0.0001 0.0019 0.0104 0.0126 0.1018 

OK 0.0000 0.1073 0.4372 0.4372 0.4397 0.4429 0.4712 0.4733 0.4773 0.5456 

PA 0.0000 -0.0453 -0.0366 -0.0246 -0.0236 -0.0275 -0.0231 -0.0195 -0.0195 0.1976 

RI 0.0000 -0.0816 0.0095 0.0095 0.0095 0.0095 0.0095 -0.0301 -0.0258 -0.0249 

SC 0.0000 0.0070 0.0189 0.0362 0.0405 0.0479 0.0613 0.0662 0.0693 0.0749 

SD 0.0000 -0.0027 0.1203 0.1203 0.1203 0.8715 0.8715 0.8701 0.8701 0.8701 

TN 0.0000 -0.0333 -0.0330 -0.0312 -0.0090 -0.0076 -0.0090 -0.0090 -0.0097 -0.0073 

TX 0.0000 -0.0089 0.1271 0.1359 0.1378 0.1443 0.1582 0.1597 0.1592 0.1623 

VT 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 

VA 0.0000 0.0735 0.0810 0.1107 0.1133 0.1134 0.1154 0.1113 0.1135 0.1332 

WV 0.0000 -0.0140 -0.0103 0.0036 0.1093 0.1021 0.1559 0.1549 0.2075 0.2127 

WI 0.0000 -0.1053 0.1104 0.1108 0.1186 0.1228 0.1297 0.1480 0.1511 0.1780 

*Negative reduction fractions indicate states and marginal cost levels where there are modeled 

emissions increases over the 2012 base case emissions level. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

47 

Table 2-12. 2012 NOx EGU Emissions* for Each State at Various Pollution Control Marginal 

Costs per Ton of Reduction (Tons). (These Values Have Been Adjusted to Match the Air 

Quality Modeling EGU Inventory.) 

Year 2012 2012 2012 2012 2012 2012

Marginal 

Cost per 

Ton $0 $500 $750 $1,000 $1,250 $1,500

State 

AL 121,809 69,344 69,291 69,286 69,259 69,202

AR 43,222 23,607 23,579 23,662 23,792 23,758

CT 2,770 2,767 2,767 2,769 2,769 2,769

DE 4,639 4,884 4,869 4,687 4,687 4,687

DC 2 2 2 2 2 2

FL 195,673 133,620 108,255 107,889 107,047 106,950

GA 78,011 75,804 75,830 75,865 75,877 75,648

IL 77,920 57,077 57,174 57,069 57,077 57,144

IN 203,107 116,515 116,248 115,634 115,139 113,694

IA 66,316 54,275 51,410 50,997 50,758 50,771

KS 70,823 32,957 33,750 33,565 33,145 32,905

KY 149,179 73,879 73,673 73,034 72,548 72,340

LA 44,773 36,070 36,075 35,966 35,911 35,902

ME 3,139 3,058 3,030 3,015 3,015 3,015

MD 17,376 17,406 17,406 17,411 17,412 17,412

MA 6,312 6,514 6,514 6,514 6,514 6,513

MI 96,874 66,839 66,849 66,874 66,909 66,890

MN 51,285 35,252 35,301 35,479 35,633 35,629

MS 37,517 19,002 19,017 18,661 18,476 18,477

MO 77,571 76,645 73,936 72,367 70,354 68,838

NE 52,820 34,345 34,345 34,345 34,231 33,916

NH 2,514 2,505 2,505 2,491 2,491 2,491

NJ 15,987 13,096 13,096 13,111 13,120 12,998

NY 25,755 25,698 25,670 25,652 25,647 25,631

NC 61,643 61,551 61,551 61,553 61,553 61,618

ND 59,547 49,093 49,093 48,622 48,519 47,421

OH 159,627 99,647 99,552 99,264 98,487 98,635

OK 86,858 51,648 51,572 51,572 51,477 51,416

PA 193,032 115,657 114,764 114,920 114,550 113,642

RI 221 226 226 227 227 227

SC 47,762 36,243 36,243 36,190 35,766 35,780

SD 15,493 13,585 13,585 12,670 12,619 12,566

TN 68,425 28,443 28,437 28,439 28,439 28,439

TX 159,738 134,642 134,585 134,589 134,593 134,281

VT 0 0 0 0 0 0

VA 36,036 35,680 35,681 35,680 35,680 35,686

WV 102,725 56,133 55,997 55,152 54,751 54,664

WI 49,351 40,124 39,596 39,562 39,238 38,825

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows 

system-wide electrical demand to be met at a lower system-wide total cost (because the model is optimizing for overall system cost, not for lowest NOx

cost). As described in the text, the emissions values from IPM Tables 1-1 through 1-6 were adjusted to match the emissions inventory for EGUs used in 

the air quality modeling.
DRAFT – Do Not Cite or Quote – April 30, 2010 

48 

Table 2-13. 2014 NOx EGU Emissions* for Each State at Various Pollution Control Marginal 

Costs per Ton of Reduction (Tons). (These Values Have Been Adjusted to Match the Air 

Quality Modeling EGU Inventory.) 

Year 2012 2014 2014 2014 2014 2014 2014 

Marginal Cost 

per Ton $0 $0 $500 $750 $1,000 $1,250 $1,500 

State 

AL 121,809 118,435 62,029 62,071 62,002 62,051 61,862 

AR 43,222 44,787 24,847 24,862 24,889 24,578 24,563 

CT 2,770 2,788 2,794 2,794 2,792 2,789 2,786 

DE 4,639 5,732 5,960 5,960 5,774 5,772 5,771 

DC 2 2 2 2 2 2 2 

FL 195,673 181,390 127,846 105,657 104,964 104,702 104,388 

GA 78,011 48,160 45,610 45,209 45,216 45,236 45,021 

IL 77,920 80,222 56,289 56,085 55,979 56,007 55,929 

IN 203,107 200,900 114,290 113,726 113,754 113,336 113,770 

IA 66,316 68,145 55,970 52,688 52,100 51,809 50,264 

KS 70,823 78,916 37,755 37,867 37,420 37,260 35,876 

KY 149,179 148,509 72,428 72,189 71,873 71,673 71,581 

LA 44,773 45,466 37,145 37,168 37,216 37,223 37,223 

ME 3,139 2,905 2,825 2,784 2,592 2,455 2,455 

MD 17,376 18,894 19,001 19,001 19,007 19,023 19,023 

MA 6,312 6,470 6,658 6,658 6,658 6,646 6,642 

MI 96,874 97,589 67,346 67,186 66,877 66,873 66,691 

MN 51,285 52,715 36,279 36,523 36,393 36,387 36,301 

MS 37,517 37,146 18,531 18,531 18,529 18,529 18,529 

MO 77,571 82,977 81,959 80,297 79,851 72,425 61,095 

NE 52,820 52,970 34,408 34,473 34,416 28,303 28,291 

NH 2,514 2,514 2,507 2,507 2,507 2,507 2,491 

NJ 15,987 22,348 19,356 19,354 19,356 19,272 19,268 

NY 25,755 27,734 27,001 25,133 25,056 24,919 24,043 

NC 61,643 61,747 61,672 61,433 61,464 61,508 61,469 

ND 59,547 59,556 49,101 49,101 48,731 31,813 31,447 

OH 159,627 164,945 103,594 103,146 102,637 101,950 97,622 

OK 86,858 81,073 50,015 50,091 50,135 50,139 50,072 

PA 193,032 199,167 119,727 119,500 119,390 119,203 118,954 

RI 221 269 249 249 249 249 249 

SC 47,762 47,513 35,793 35,481 35,436 35,409 35,431 

SD 15,493 15,514 13,606 13,606 1,944 1,944 1,941 

TN 68,425 68,771 28,752 28,751 28,755 28,749 28,644 

TX 159,738 166,162 145,425 144,603 144,411 141,977 141,920 

VT 0 0 0 0 0 0 0 

VA 36,036 32,867 32,433 32,433 32,598 32,693 32,387 

WV 102,725 100,103 54,127 53,923 53,661 53,544 49,424 

WI 49,351 53,937 43,828 43,878 43,322 43,053 42,567 

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows 

system-wide electrical demand to be met at a lower system-wide total cost (because the model is optimizing for overall system cost, not for lowest NOx

cost). As described in the text, the emissions values from IPM Tables 1-1 through 1-6 were adjusted to match the emissions inventory for EGUs used in 

the air quality modeling. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

49 

Table 2-14. 2012 SO2 EGU Emissions* for Each State at Various Pollution Control Marginal Costs per To

(Tons). (These Values Have Been Adjusted to Match the Air Quality Modeling EGU Inventory.) 

2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 201

Marginal Cost per Ton $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,60State AL 335,734 313,794 274,958 244,907 198,718 186,607 187,141 186,511 169,257 168,473 164,145 162,10AR 85,068 85,082 84,549 84,665 84,737 84,484 82,639 82,493 82,493 82,585 82,627 82,64CT 5,493 5,493 5,493 5,493 5,493 5,493 5,493 5,493 5,493 5,493 5,504 5,51DE 7,841 8,901 8,924 8,923 8,919 8,913 8,913 8,904 8,903 8,900 8,900 8,89DC 0 0 0 0 0 0 0 0 0 0 0 FL 228,360 204,309 171,348 174,431 143,719 121,849 122,063 120,939 121,209 113,888 111,579 111,04GA 552,007 549,215 277,169 276,279 274,876 279,553 272,591 271,312 256,311 243,291 243,031 240,71IL 724,657 467,395 374,583 332,982 272,987 267,131 267,316 263,562 261,491 256,141 249,208 247,11IN 829,988 507,712 416,022 375,114 367,607 345,979 341,384 320,814 318,852 288,304 282,665 281,77IA 169,039 149,965 133,422 129,273 127,692 126,857 114,764 104,689 104,763 104,889 104,183 103,18KS 59,567 60,991 61,847 53,815 58,933 48,304 44,936 44,709 42,266 41,809 41,750 41,67KY 718,980 294,696 282,336 274,775 264,346 253,006 243,696 227,353 216,028 213,446 202,338 194,76LA 100,239 99,232 95,710 95,710 95,710 95,710 95,300 95,300 95,300 95,300 95,300 95,30ME 15,759 15,759 15,001 15,027 15,027 15,027 15,027 10,840 9,214 8,938 6,265 3,62MD 49,078 49,091 49,091 49,091 42,739 41,391 40,838 40,870 40,765 38,232 37,507 37,59MA 16,299 17,174 17,174 17,174 9,397 9,396 9,396 9,396 9,396 9,396 9,396 9,39MI 287,807 272,374 256,562 246,399 212,994 210,868 208,872 206,316 207,412 207,490 206,765 204,81MN 53,596 53,792 50,525 48,286 47,671 47,740 47,740 47,736 47,939 47,896 47,886 48,36MS 46,432 46,432 46,432 46,432 46,024 46,009 46,017 46,014 46,432 46,334 46,346 46,33MO 445,643 248,353 223,797 221,589 218,297 217,311 210,831 198,137 195,095 194,323 194,029 193,87NE 120,790 119,894 119,367 117,763 113,884 106,859 79,097 75,357 74,253 73,744 73,610 72,73NH 7,290 7,290 7,290 7,290 7,290 7,290 7,290 7,290 7,290 7,290 7,290 7,29NJ 37,746 37,746 25,519 25,422 24,886 19,041 19,041 19,041 18,880 19,267 19,267 19,17NY 144,074 144,074 144,074 143,435 143,543 143,110 142,194 142,076 128,195 119,344 118,669 117,46NC 126,620 115,795 123,881 118,836 114,665 111,421 111,272 106,917 105,733 105,633 99,877 101,39ND 77,383 75,748 75,748 75,675 75,675 75,675 44,229 44,229 44,229 43,144 43,144 43,14OH 946,667 564,832 459,343 434,210 406,454 361,164 329,410 301,075 292,564 290,057 263,388 248,31OK 156,032 159,773 155,287 134,188 112,796 115,548 104,644 104,644 104,644 104,644 104,644 104,64PA 966,136 845,651 412,620 367,275 351,281 318,368 305,434 289,866 284,976 276,755 241,713 234,61RI 0 0 0 0 0 0 0 0 0 0 0 SC 149,515 142,324 146,705 144,365 140,009 139,283 137,771 136,558 128,361 122,071 121,536 119,24SD 13,453 13,453 12,782 12,782 12,782 11,919 11,919 11,919 11,919 11,919 11,919 11,91TN 596,987 244,524 130,744 128,847 127,322 127,179 127,179 126,187 126,186 126,329 126,150 123,28TX 327,873 326,728 319,143 317,873 317,739 295,406 295,385 294,309 294,216 294,009 293,873 293,87VT 0 0 0 0 0 0 0 0 0 0 0 VA 145,452 145,426 133,969 122,244 121,575 121,576 120,890 119,159 115,173 110,637 110,419 108,16WV 588,392 208,559 188,135 170,963 148,949 143,292 141,357 131,943 126,186 125,069 122,866 120,44WI 107,365 101,431 98,613 98,270 101,666 92,187 92,345 87,049 86,909 86,180 89,886 91,39

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows system-wide elower system-wide total cost (because the model is optimizing for overall system cost, not for lowest SO2 cost). As described in the text, the emissions values from IPM 

adjusted to match the emissions inventory for EGUs used in the air quality modeling.
DRAFT – Do Not Cite or Quote – April 30, 2010 

50 

Table 2-15. 2014 SO2 EGU Emissions* for Each State at Various Pollution Control Marginal Costs per To

(Tons). (These Values Have Been Adjusted to Match the Air Quality Modeling EGU Inventory.) 

2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal Cost per Ton $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $State AL 335,734 322,139 306,721 257,134 230,657 176,661 170,969 167,470 166,298 166,031 160,408 146,375 10AR 85,068 88,185 88,208 85,362 85,396 85,395 85,393 85,393 85,423 85,408 85,452 84,211 8CT 5,493 5,510 5,510 5,510 5,510 5,510 5,510 5,510 5,510 5,510 5,510 3,011 DE 7,841 8,079 9,074 9,096 9,114 9,114 9,115 9,120 9,120 9,120 8,690 8,706 DC 0 0 0 0 0 0 0 0 0 0 0 0 FL 228,360 193,097 176,253 169,752 169,492 137,218 116,066 116,401 115,975 112,097 111,326 110,123 8GA 552,007 173,242 165,539 135,966 136,832 133,552 133,335 131,641 129,207 116,723 107,452 101,230 9IL 724,657 200,482 184,623 165,123 164,286 165,088 165,030 165,131 165,126 163,546 164,855 164,762 16IN 829,988 804,298 478,389 432,713 351,941 343,765 328,077 325,530 312,530 290,886 287,106 284,426 25IA 169,039 163,966 140,426 129,873 120,245 112,214 106,014 105,592 104,644 105,229 104,510 103,923 10KS 59,567 65,125 64,354 55,833 48,971 49,130 49,058 47,206 46,551 45,973 45,694 45,556 4KY 718,980 739,592 275,463 270,357 252,997 248,541 247,920 243,032 231,845 195,510 185,866 178,057 16LA 100,239 94,827 94,827 94,828 94,893 94,893 94,893 94,893 94,913 94,913 94,911 94,911 9ME 15,759 11,972 11,972 11,972 9,431 8,535 8,448 8,448 8,448 4,366 1,470 1,470 MD 49,078 42,799 43,056 43,059 43,064 43,046 43,048 43,048 43,051 43,051 43,074 43,079 4MA 16,299 16,299 17,174 17,174 17,076 9,246 9,246 9,246 9,246 9,244 9,244 9,244 MI 287,807 275,697 254,136 253,080 246,028 215,913 213,726 210,613 209,985 208,909 208,162 207,080 20MN 53,596 61,547 56,522 54,259 50,756 50,686 48,364 47,732 47,660 47,723 47,760 47,868 4MS 46,432 48,145 46,172 46,755 46,063 46,021 46,120 46,432 46,432 46,432 46,432 46,432 4MO 445,643 500,649 289,438 238,429 229,132 223,609 212,894 213,315 213,507 212,383 211,506 212,023 20NE 120,790 115,696 119,247 113,044 88,485 77,709 74,013 73,104 73,070 72,597 71,540 71,124 7NH 7,290 6,654 6,654 6,654 6,654 6,654 6,654 6,592 7,290 7,290 7,290 7,290 NJ 37,746 39,310 39,173 26,416 26,410 20,435 20,497 20,585 20,420 20,426 20,407 20,196 1NY 144,074 141,380 140,244 141,276 140,357 135,763 134,050 130,260 118,082 117,048 113,042 112,475 10NC 126,620 140,548 140,548 140,524 133,633 133,704 129,675 128,630 115,144 113,803 112,444 104,013 9ND 77,383 80,320 75,758 75,758 57,992 44,238 44,238 44,238 44,236 44,233 43,147 43,144 4OH 946,667 841,195 582,608 553,116 519,213 416,605 408,415 360,015 322,160 293,998 279,386 260,271 24OK 156,032 165,773 165,774 125,850 110,863 110,863 110,863 110,863 110,928 110,928 110,922 110,922 11PA 966,136 973,679 824,311 441,044 399,118 351,165 336,579 233,697 224,767 201,885 179,527 174,470 15RI 0 0 0 0 0 0 0 0 0 0 0 0 SC 149,515 156,092 138,086 136,694 136,080 134,996 133,690 130,598 128,030 125,232 117,466 82,876 8SD 13,453 13,459 13,458 13,459 12,788 12,788 12,788 12,066 11,513 11,047 11,046 11,044 1TN 596,987 600,066 154,092 130,670 127,443 127,170 127,170 127,170 127,314 125,696 123,101 108,199 10TX 327,873 373,941 369,764 368,985 368,462 368,075 345,806 345,822 345,689 345,244 342,626 343,292 34VT 0 0 0 0 0 0 0 0 0 0 0 0 VA 145,452 136,083 133,168 132,795 109,867 109,400 108,381 106,976 106,707 105,405 102,146 92,036 7WV 588,392 496,307 178,643 169,763 163,899 161,910 160,746 160,334 155,448 159,653 158,379 142,503 13WI 107,365 117,293 111,181 107,688 108,149 107,309 97,410 96,048 94,318 92,276 91,542 89,184 8

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows system-wide elower system-wide total cost (because the model is optimizing for overall system cost, not for lowest SO2 cost). As described in the text, the emissions values from IPM 

adjusted to match the emissions inventory for EGUs used in the air quality modeling.
DRAFT – Do Not Cite or Quote – April 30, 2010 

51 

Table 2-16. 2012 NOx EGU Emissions* for Each State at Various Pollution Control Marginal 

Costs per Ton of Reduction (Tons) for Ozone Season. (These Values Have Been Adjusted to 

Match the Air Quality Modeling EGU Inventory.) 

Year 2012 2012 2012 2012 2012 2012 2012 2012 2012 

Marginal Cost 

per Ton $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 121,809 122,081 122,086 121,674 120,282 120,285 120,183 119,781 118,748 

AR 43,222 23,600 23,765 23,952 23,839 24,038 23,844 23,874 24,047 

CT 2,770 2,755 2,755 2,755 2,755 2,755 2,755 2,758 2,761 

DE 4,639 5,051 5,051 4,994 4,901 4,901 4,901 4,901 4,901 

DC 2 2 2 2 2 2 2 2 2 

FL 195,673 142,344 115,173 113,417 113,216 112,990 112,936 111,445 110,612 

GA 78,011 73,857 73,910 73,542 73,483 73,051 73,051 73,051 72,774 

IL 77,920 78,117 78,496 78,637 78,787 78,872 78,858 79,031 78,709 

IN 203,107 199,750 193,972 190,287 188,726 186,252 185,696 183,568 182,680 

IA 66,316 54,916 51,292 51,213 50,638 51,170 51,498 51,255 49,774 

KS 70,823 33,662 34,348 34,559 32,930 33,072 32,690 32,412 32,323 

KY 149,179 147,671 146,055 144,730 144,674 142,196 141,560 140,638 137,556 

LA 44,773 35,542 35,334 35,115 35,155 35,275 35,342 35,349 35,352 

ME 3,139 3,082 3,082 3,082 3,082 3,082 3,082 3,082 3,082 

MD 17,376 17,371 17,371 17,331 17,203 17,080 17,082 17,062 17,085 

MA 6,312 6,760 6,760 6,760 6,764 6,764 6,762 6,762 6,761 

MI 96,874 97,150 97,238 97,264 97,368 96,894 93,788 92,954 92,761 

MN 51,285 35,532 35,919 36,000 36,016 35,838 35,922 36,092 35,516 

MS 37,517 18,883 18,302 18,301 18,305 18,305 18,307 18,307 18,329 

MO 77,571 76,586 72,982 71,129 71,444 69,519 69,682 68,934 62,338 

NE 52,820 34,309 34,309 33,578 33,139 33,139 33,139 33,138 33,143 

NH 2,514 2,493 2,460 2,460 2,415 2,415 2,415 2,369 2,201 

NJ 15,987 15,990 15,990 15,671 15,620 15,139 15,104 15,023 14,923 

NY 25,755 25,689 25,706 25,715 25,684 25,649 25,791 25,777 25,633 

NC 61,643 61,655 61,685 61,587 61,587 61,587 61,587 61,715 61,332 

ND 59,547 49,088 47,775 46,949 46,949 46,949 45,795 44,615 44,162 

OH 159,627 157,665 157,245 156,517 157,071 157,982 159,042 158,765 158,095 

OK 86,858 54,702 54,549 53,971 53,693 53,241 53,031 52,903 52,550 

PA 193,032 192,888 193,083 191,813 190,839 189,390 188,930 187,631 180,202 

RI 221 221 223 223 223 223 223 223 223 

SC 47,762 47,762 47,387 46,159 46,159 45,946 45,105 44,952 45,109 

SD 15,493 13,588 13,588 13,588 11,302 11,302 10,470 10,485 10,438 

TN 68,425 68,403 68,391 68,391 68,391 68,391 68,391 68,391 68,483 

TX 159,738 135,629 135,559 135,424 134,792 133,229 133,299 133,299 133,306 

VT 0 0 0 0 0 0 0 0 0 

VA 36,036 35,997 35,992 35,977 35,939 35,894 35,756 35,667 34,294 

WV 102,725 101,423 100,108 100,428 94,998 96,438 94,526 95,420 78,043 

WI 49,351 39,359 39,131 39,013 38,659 38,719 38,708 38,307 38,086 

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows systemwide electrical demand to be met at a lower system-wide total cost (because the model is optimizing for overall system cost, not for lowest NOx cost). As described 

in the text, the emissions values from IPM Tables 1-1 through 1-6 were adjusted to match the emissions inventory for EGUs used in the air quality modeling.
DRAFT – Do Not Cite or Quote – April 30, 2010 

52 

Table 2-17. 2014 NOx EGU Emissions* for Each State at Various Pollution Control Marginal 

Costs per Ton of Reduction (Tons) for Ozone Season. (These Values Have Been Adjusted to 

Match the Air Quality Modeling EGU Inventory.) 

Year 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal Cost 

per Ton $0 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 121,809 109,840 110,276 110,245 110,117 109,151 109,168 108,828 107,641 104,329 

AR 43,222 45,554 25,071 25,082 24,517 24,182 23,576 23,813 24,123 24,295 

CT 2,770 2,777 2,777 2,777 2,777 2,777 2,777 2,777 2,777 2,777 

DE 4,639 5,647 6,120 6,124 6,119 6,119 6,122 6,118 6,118 6,109 

DC 2 2 2 2 2 2 2 2 2 2 

FL 195,673 182,777 138,605 111,145 109,985 109,116 108,081 101,717 83,362 72,368 

GA 78,011 48,648 44,800 44,347 43,858 43,858 43,918 43,435 43,487 42,981 

IL 77,920 77,347 77,592 77,981 78,142 78,087 77,951 77,559 77,629 77,892 

IN 203,107 195,528 193,220 190,242 188,265 186,483 185,728 183,655 174,515 171,682 

IA 66,316 69,532 57,622 53,762 53,490 53,565 52,416 51,067 50,459 47,367 

KS 70,823 79,949 38,141 38,191 38,072 37,968 37,518 36,915 34,718 34,375 

KY 149,179 144,065 144,127 142,596 140,824 140,852 139,653 139,472 138,426 135,086 

LA 44,773 44,299 35,867 35,871 35,948 35,970 35,970 35,970 27,405 26,639 

ME 3,139 3,137 3,066 3,066 3,066 2,927 2,758 2,680 2,686 2,702 

MD 17,376 18,740 18,873 18,907 18,894 19,013 19,043 18,993 19,011 18,971 

MA 6,312 6,504 6,772 6,772 6,772 6,773 6,788 6,812 6,803 6,782 

MI 96,874 98,025 98,058 98,104 97,581 93,440 93,507 93,463 93,456 91,834 

MN 51,285 52,444 36,130 36,525 36,921 36,395 36,635 36,680 36,571 35,950 

MS 37,517 37,676 18,385 18,385 18,379 18,378 18,378 18,379 18,372 14,579 

MO 77,571 82,598 81,901 79,523 78,651 77,624 77,380 74,882 59,781 55,487 

NE 52,820 53,276 34,499 34,650 34,650 34,633 28,658 28,722 28,672 28,670 

NH 2,514 2,514 2,498 2,498 2,460 2,460 2,460 2,415 2,415 2,415 

NJ 15,987 23,586 23,375 23,283 23,242 22,897 22,799 22,787 22,789 19,254 

NY 25,755 28,068 27,619 27,285 25,634 25,614 25,406 24,317 24,299 23,999 

NC 61,643 61,579 61,423 61,351 61,557 61,442 61,129 61,068 61,028 59,162 

ND 59,547 59,556 49,101 49,101 47,790 46,964 30,974 30,966 30,901 25,925 

OH 159,627 170,139 167,400 164,722 164,890 159,613 159,318 157,960 157,615 143,382 

OK 86,858 77,535 48,883 48,883 48,669 48,391 45,928 45,751 45,403 39,469 

PA 193,032 201,782 200,103 197,785 197,579 198,350 197,497 196,804 196,806 154,881 

RI 221 239 219 219 219 219 219 228 227 227 

SC 47,762 47,426 46,858 46,035 45,826 45,474 44,837 44,601 44,453 44,183 

SD 15,493 15,534 13,629 13,629 13,629 1,990 1,990 2,013 2,013 2,013 

TN 68,425 70,701 70,680 70,561 69,042 68,942 69,042 69,042 69,091 68,925 

TX 159,738 161,165 139,432 138,035 137,734 136,684 134,462 134,223 134,304 133,810 

VT 0 0 0 0 0 0 0 0 0 0 

VA 36,036 33,387 33,117 32,048 31,953 31,951 31,877 32,025 31,945 31,237 

WV 102,725 104,159 103,782 102,359 91,500 92,239 86,707 86,813 81,412 80,877 

WI 49,351 54,545 43,903 43,882 43,500 43,289 42,949 42,046 41,893 40,565 

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows systemwide electrical demand to be met at a lower system-wide total cost (because the model is optimizing for overall system cost, not for lowest NOx cost). As described 

in the text, the emissions values from IPM Tables 1-1 through 1-6 were adjusted to match the emissions inventory for EGUs used in the air quality modeling.
DRAFT – Do Not Cite or Quote – April 30, 2010 

53 

Table 2-18. Total Estimated NOx Emissions* (tons) in 2012 for the Annual Air 

Quality Modeling. 

Year 2012 2012 2012 2012 2012 2012 

Marginal 

Cost per 

Ton $0 $500 $750 $1,000 $1,250 $1,500 

State 

AL 364,171 311,707 311,653 311,648 311,621 311,564 

AR 200,092 180,477 180,449 180,531 180,662 180,627 

CT 74,801 74,797 74,797 74,799 74,799 74,799 

DE 39,687 39,932 39,917 39,735 39,735 39,735 

DC 9,802 9,802 9,802 9,802 9,802 9,802 

FL 863,515 801,461 776,096 775,731 774,888 774,791 

GA 413,780 411,573 411,599 411,634 411,646 411,417 

IL 542,957 522,115 522,211 522,106 522,115 522,182 

IN 505,127 418,535 418,269 417,654 417,160 415,715 

IA 251,721 239,680 236,816 236,403 236,163 236,177 

KS 295,012 257,146 257,939 257,754 257,334 257,094 

KY 346,399 271,099 270,893 270,254 269,768 269,560 

LA 586,912 578,209 578,214 578,106 578,050 578,041 

ME 64,559 64,479 64,451 64,436 64,436 64,436 

MD 181,731 181,762 181,762 181,766 181,767 181,768 

MA 191,911 192,112 192,112 192,112 192,112 192,112 

MI 478,955 448,920 448,929 448,955 448,990 448,970 

MN 352,694 336,661 336,710 336,889 337,043 337,039 

MS 222,801 204,287 204,301 203,945 203,760 203,761 

MO 354,085 353,160 350,451 348,881 346,868 345,353 

NE 194,233 175,758 175,758 175,758 175,644 175,329 

NH 44,067 44,058 44,058 44,044 44,044 44,044 

NJ 220,410 217,520 217,520 217,534 217,544 217,422 

NY 423,582 423,524 423,497 423,479 423,473 423,457 

NC 395,854 395,762 395,762 395,764 395,764 395,829 

ND 136,110 125,656 125,656 125,185 125,082 123,984 

OH 552,945 492,965 492,870 492,582 491,805 491,953 

OK 369,167 333,957 333,881 333,881 333,786 333,725 

PA 566,418 489,042 488,149 488,305 487,935 487,028 

RI 20,940 20,944 20,944 20,945 20,945 20,945 

SC 238,903 227,383 227,383 227,331 226,907 226,920 

SD 67,151 65,244 65,244 64,328 64,278 64,225 

TN 339,166 299,185 299,178 299,181 299,181 299,181 

TX 1,343,319 1,318,223 1,318,166 1,318,170 1,318,174 1,317,862 

VT 17,790 17,790 17,790 17,790 17,790 17,790 

VA 342,389 342,032 342,033 342,033 342,033 342,038 

WV 207,415 160,823 160,687 159,842 159,441 159,354 

WI 257,546 248,319 247,791 247,757 247,433 247,020 

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal 

cost option if it allows system-wide electrical demand to be met at a lower system-wide total cost (because the model is optimizing 

for overall system cost, not for lowest NOx cost).
DRAFT – Do Not Cite or Quote – April 30, 2010 

54 

Table 2-19. Total Estimated NOx Emissions* (Tons) in 2014 for the Annual Air 

Quality Modeling.

Year 2012 2014 2014 2014 2014 2014 2014

Marginal Cost 

per Ton $0 $0 $500 $750 $1,000 $1,250 $1,500

State 

AL 364,171 341,753 285,347 285,389 285,321 285,369 285,180

AR 200,092 189,619 169,679 169,693 169,720 169,409 169,394

CT 74,801 67,051 67,057 67,057 67,055 67,052 67,049

DE 39,687 38,572 38,800 38,800 38,614 38,612 38,610

DC 9,802 8,569 8,569 8,569 8,569 8,569 8,569

FL 863,515 796,188 742,644 720,455 719,762 719,500 719,186

GA 413,780 349,720 347,170 346,769 346,776 346,795 346,581

IL 542,957 503,670 479,737 479,532 479,427 479,455 479,376

IN 505,127 474,860 388,250 387,686 387,714 387,296 387,729

IA 251,721 236,691 224,516 221,234 220,646 220,355 218,810

KS 295,012 289,824 248,663 248,775 248,329 248,169 246,785

KY 346,399 325,791 249,710 249,471 249,155 248,955 248,862

LA 586,912 565,057 556,736 556,760 556,807 556,814 556,814

ME 64,559 60,273 60,193 60,152 59,960 59,823 59,823

MD 181,731 170,884 170,991 170,991 170,997 171,013 171,013

MA 191,911 181,946 182,134 182,134 182,134 182,122 182,119

MI 478,955 445,103 414,860 414,701 414,391 414,387 414,205

MN 352,694 331,134 314,698 314,942 314,812 314,806 314,720

MS 222,801 206,636 188,022 188,022 188,019 188,019 188,019

MO 354,085 333,310 332,292 330,630 330,184 322,758 311,428

NE 194,233 182,411 163,848 163,914 163,857 157,744 157,732

NH 44,067 39,883 39,876 39,876 39,876 39,876 39,860

NJ 220,410 210,087 207,095 207,093 207,095 207,011 207,007

NY 423,582 393,548 392,815 390,947 390,870 390,734 389,857

NC 395,854 374,017 373,943 373,703 373,734 373,778 373,739

ND 136,110 130,252 119,797 119,797 119,427 102,508 102,143

OH 552,945 518,861 457,510 457,062 456,552 455,866 451,537

OK 369,167 347,742 316,683 316,759 316,803 316,807 316,740

PA 566,418 538,647 459,207 458,981 458,871 458,683 458,435

RI 20,940 19,573 19,553 19,553 19,553 19,553 19,553

SC 238,903 224,506 212,786 212,474 212,429 212,402 212,424

SD 67,151 62,368 60,460 60,460 48,799 48,798 48,796

TN 339,166 311,874 271,855 271,855 271,858 271,852 271,748

TX 1,343,319 1,258,339 1,237,602 1,236,779 1,236,588 1,234,154 1,234,097

VT 17,790 15,713 15,713 15,713 15,713 15,713 15,713

VA 342,389 315,754 315,320 315,320 315,485 315,580 315,274

WV 207,415 197,708 151,732 151,528 151,266 151,149 147,029

WI 257,546 241,907 231,798 231,848 231,291 231,023 230,536

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows system-wide 

electrical demand to be met at a lower system-wide total cost (because the model is optimizing for overall system cost, not for lowest NOx cost).
DRAFT – Do Not Cite or Quote – April 30, 2010 

55 

Table 2-20. Total Estimated SO2 Emissions* (Tons) in 2012 for the Annual Air Quality Modeling. 

2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 

Marginal Cost per Ton $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 State AL 462,297 440,357 401,521 371,470 325,281 313,170 313,704 313,074 295,820 295,036 290,708 288,669 AR 127,259 127,273 126,741 126,857 126,928 126,676 124,831 124,685 124,685 124,777 124,819 124,838 CT 27,392 27,392 27,393 27,393 27,393 27,393 27,393 27,393 27,393 27,393 27,403 27,409 DE 38,970 40,030 40,052 40,052 40,048 40,042 40,042 40,033 40,032 40,029 40,029 40,027 DC 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 FL 467,498 443,447 410,485 413,568 382,857 360,986 361,201 360,076 360,346 353,026 350,717 350,178 GA 676,193 673,402 401,355 400,466 399,062 403,739 396,777 395,499 380,498 367,477 367,218 364,897 IL 866,396 609,134 516,322 474,721 414,726 408,870 409,055 405,301 403,230 397,880 390,947 388,854 IN 986,626 664,350 572,660 531,752 524,244 502,617 498,021 477,451 475,489 444,942 439,302 438,409 IA 250,954 231,880 215,337 211,188 209,607 208,772 196,679 186,604 186,678 186,804 186,098 185,099 KS 109,915 111,339 112,195 104,163 109,281 98,652 95,284 95,057 92,614 92,157 92,098 92,022 KY 781,249 356,964 344,605 337,044 326,615 315,274 305,965 289,621 278,297 275,715 264,607 257,033 LA 341,731 340,725 337,202 337,202 337,202 337,202 336,793 336,793 336,793 336,793 336,793 336,793 ME 48,460 48,460 47,702 47,729 47,729 47,729 47,729 43,542 41,916 41,639 38,966 36,326 MD 142,672 142,685 142,685 142,685 136,333 134,985 134,432 134,464 134,359 131,825 131,100 131,193 MA 91,657 92,532 92,532 92,532 84,754 84,754 84,754 84,754 84,754 84,754 84,754 84,754 MI 415,132 399,699 383,887 373,725 340,320 338,193 336,198 333,641 334,737 334,815 334,090 332,136 MN 95,997 96,194 92,926 90,688 90,072 90,142 90,142 90,138 90,340 90,297 90,287 90,762 MS 81,166 81,166 81,166 81,166 80,758 80,744 80,751 80,748 81,166 81,068 81,080 81,067 MO 570,761 373,471 348,914 346,707 343,415 342,428 335,949 323,255 320,213 319,440 319,147 318,995 NE 157,921 157,025 156,498 154,894 151,015 143,990 116,227 112,488 111,384 110,875 110,741 109,865 NH 18,183 18,183 18,183 18,183 18,183 18,183 18,183 18,183 18,183 18,183 18,183 18,183 NJ 81,327 81,327 69,100 69,003 68,467 62,622 62,622 62,622 62,462 62,848 62,848 62,758 NY 341,818 341,817 341,817 341,178 341,286 340,853 339,937 339,819 325,938 317,088 316,412 315,204 NC 265,240 254,415 262,501 257,456 253,285 250,041 249,892 245,537 244,353 244,253 238,497 240,019 ND 93,722 92,087 92,087 92,013 92,013 92,013 60,567 60,567 60,567 59,483 59,483 59,483 OH 1,076,493 694,658 589,169 564,036 536,280 490,990 459,236 430,901 422,389 419,883 393,214 378,140 OK 201,791 205,532 201,046 179,946 158,554 161,307 150,403 150,403 150,403 150,403 150,403 150,403 PA 1,119,712 999,227 566,196 520,852 504,858 471,944 459,010 443,442 438,553 430,332 395,289 388,190 RI 9,069 9,069 9,069 9,069 9,069 9,069 9,069 9,069 9,069 9,069 9,069 9,069 SC 234,846 227,655 232,036 229,697 225,340 224,615 223,102 221,889 213,692 207,403 206,867 204,579 SD 26,147 26,147 25,476 25,476 25,476 24,614 24,614 24,614 24,614 24,614 24,614 24,614 TN 709,182 356,720 242,940 241,043 239,518 239,375 239,375 238,382 238,382 238,525 238,346 235,478 TX 640,682 639,538 631,952 630,682 630,549 608,215 608,194 607,118 607,026 606,818 606,683 606,683 VT 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 VA 263,963 263,936 252,480 240,754 240,086 240,086 239,400 237,670 233,683 229,148 228,929 226,673 WV 645,646 265,813 245,389 228,217 206,203 200,546 198,612 189,198 183,440 182,323 180,120 177,696 WI 181,830 175,896 173,078 172,735 176,132 166,652 166,810 161,514 161,375 160,646 164,351 165,862 

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows system-wide elower system-wide total cost (because the model is optimizing for overall system cost, not for lowest SO2 cost).
DRAFT – Do Not Cite or Quote – April 30, 2010 

56 

Table 2-21. Total Estimated SO2 emissions* (Tons) in 2014 for the Annual Air Quality Modeling.

2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal Cost per Ton $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 State AL 462,297 447,062 431,644 382,057 355,580 301,584 295,893 292,393 291,221 290,954 285,332 271,299 AR 127,259 129,712 129,735 126,889 126,923 126,922 126,920 126,920 126,950 126,935 126,980 125,738 CT 27,392 27,421 27,421 27,421 27,421 27,421 27,421 27,421 27,421 27,421 27,421 24,922 DE 38,970 39,908 40,903 40,925 40,943 40,943 40,944 40,949 40,949 40,950 40,519 40,535 DC 2,296 2,291 2,291 2,291 2,291 2,291 2,291 2,291 2,291 2,291 2,291 2,291 FL 467,498 438,853 422,008 415,508 415,247 382,973 361,821 362,156 361,731 357,852 357,081 355,878 GA 676,193 297,650 289,946 260,373 261,239 257,959 257,742 256,049 253,615 241,131 231,859 225,637 IL 866,396 340,602 324,743 305,243 304,406 305,208 305,150 305,251 305,247 303,667 304,975 304,882 IN 986,626 960,126 634,217 588,541 507,769 499,594 483,906 481,359 468,358 446,714 442,934 440,254 IA 250,954 244,448 220,907 210,355 200,726 192,695 186,495 186,073 185,126 185,710 184,991 184,405 KS 109,915 115,018 114,247 105,727 98,864 99,023 98,951 97,099 96,444 95,866 95,587 95,450 KY 781,249 798,755 334,626 329,520 312,160 307,704 307,083 302,195 291,008 254,673 245,029 237,220 LA 341,731 327,873 327,874 327,875 327,940 327,940 327,940 327,940 327,960 327,960 327,958 327,958 ME 48,460 44,962 44,962 44,962 42,421 41,525 41,438 41,438 41,438 37,356 34,460 34,460 MD 142,672 136,273 136,530 136,533 136,538 136,520 136,522 136,522 136,525 136,525 136,548 136,553 MA 91,657 93,891 94,765 94,765 94,667 86,837 86,837 86,837 86,837 86,835 86,835 86,835 MI 415,132 402,934 381,373 380,317 373,265 343,149 340,963 337,849 337,221 336,146 335,398 334,316 MN 95,997 103,105 98,079 95,817 92,314 92,244 89,922 89,290 89,217 89,281 89,317 89,425 MS 81,166 82,072 80,100 80,682 79,991 79,949 80,048 80,360 80,360 80,360 80,360 80,360 MO 570,761 623,473 412,262 361,253 351,957 346,433 335,719 336,139 336,332 335,207 334,330 334,847 NE 157,921 152,072 155,624 149,421 124,861 114,086 110,390 109,480 109,447 108,974 107,917 107,501 NH 18,183 17,523 17,523 17,523 17,523 17,523 17,523 17,461 18,159 18,159 18,159 18,159 NJ 81,327 84,227 84,090 71,333 71,326 65,352 65,414 65,502 65,336 65,343 65,324 65,113 NY 341,818 337,720 336,584 337,615 336,697 332,103 330,390 326,600 314,422 313,388 309,382 308,815 NC 265,240 283,143 283,143 283,120 276,229 276,299 272,270 271,225 257,739 256,398 255,040 246,608 ND 93,722 96,407 91,845 91,845 74,079 60,325 60,325 60,325 60,323 60,320 59,234 59,231 OH 1,076,493 969,406 710,819 681,328 647,425 544,816 536,626 488,226 450,372 422,209 407,598 388,483 OK 201,791 211,268 211,269 171,345 156,358 156,358 156,358 156,358 156,423 156,423 156,417 156,417 PA 1,119,712 1,123,578 974,210 590,942 549,017 501,064 486,478 383,596 374,666 351,783 329,426 324,369 RI 9,069 9,323 9,323 9,323 9,323 9,323 9,323 9,323 9,323 9,323 9,323 9,323 SC 234,846 243,124 225,119 223,726 223,113 222,029 220,723 217,631 215,063 212,265 204,499 169,908 SD 26,147 26,113 26,112 26,112 25,442 25,442 25,441 24,720 24,167 23,701 23,700 23,698 TN 709,182 711,647 265,673 242,251 239,024 238,751 238,751 238,751 238,894 237,277 234,681 219,780 TX 640,682 678,653 674,475 673,696 673,174 672,787 650,518 650,534 650,401 649,956 647,338 648,004 VT 6,432 6,439 6,439 6,439 6,439 6,439 6,439 6,439 6,439 6,439 6,439 6,439 VA 263,963 255,100 252,185 251,812 228,885 228,417 227,399 225,993 225,724 224,422 221,163 211,053 WV 645,646 553,218 235,554 226,673 220,809 218,820 217,656 217,244 212,358 216,564 215,289 199,413 WI 181,830 191,502 185,390 181,897 182,357 181,518 171,619 170,257 168,527 166,485 165,751 163,392 

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it allows system-wide elower system-wide total cost (because the model is optimizing for overall system cost, not for lowest SO2 cost).
DRAFT – Do Not Cite or Quote – April 30, 2010 

57 

Table 2-22. Total Estimated NOx Emissions* (Tons) in 2012 for the Air Quality Modeling in 

Ozone Season. 

Year 2012 2012 2012 2012 2012 2012 2012 2012 2012 

Marginal Cost 

per Ton $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 364,171 364,443 364,448 364,036 362,644 362,647 362,546 362,144 361,110 

AR 200,092 180,469 180,634 180,822 180,708 180,908 180,713 180,743 180,917 

CT 74,801 74,785 74,785 74,785 74,785 74,785 74,785 74,788 74,791 

DE 39,687 40,099 40,099 40,043 39,950 39,949 39,950 39,950 39,949 

DC 9,802 9,802 9,802 9,802 9,802 9,802 9,802 9,802 9,802 

FL 863,515 810,185 783,014 781,258 781,057 780,831 780,778 779,286 778,453 

GA 413,780 409,626 409,679 409,311 409,252 408,820 408,820 408,820 408,543 

IL 542,957 543,155 543,533 543,674 543,824 543,910 543,895 544,068 543,746 

IN 505,127 501,771 495,992 492,307 490,746 488,272 487,717 485,589 484,701 

IA 251,721 240,321 236,697 236,618 236,043 236,575 236,903 236,660 235,179 

KS 295,012 257,851 258,537 258,748 257,119 257,261 256,879 256,601 256,512 

KY 346,399 344,891 343,274 341,950 341,894 339,415 338,780 337,858 334,776 

LA 586,912 577,681 577,473 577,254 577,294 577,414 577,481 577,488 577,491 

ME 64,559 64,503 64,503 64,503 64,503 64,503 64,503 64,503 64,503 

MD 181,731 181,727 181,726 181,687 181,559 181,436 181,438 181,418 181,441 

MA 191,911 192,358 192,358 192,358 192,362 192,362 192,360 192,360 192,359 

MI 478,955 479,231 479,319 479,345 479,449 478,975 475,869 475,035 474,841 

MN 352,694 336,942 337,329 337,410 337,426 337,248 337,332 337,501 336,926 

MS 222,801 204,167 203,586 203,585 203,589 203,589 203,591 203,591 203,613 

MO 354,085 353,100 349,496 347,644 347,959 346,033 346,196 345,448 338,853 

NE 194,233 175,722 175,722 174,991 174,552 174,552 174,552 174,551 174,555 

NH 44,067 44,046 44,012 44,012 43,967 43,967 43,967 43,922 43,753 

NJ 220,410 220,413 220,413 220,094 220,044 219,563 219,528 219,446 219,347 

NY 423,582 423,516 423,532 423,542 423,510 423,476 423,618 423,603 423,459 

NC 395,854 395,866 395,896 395,798 395,798 395,798 395,798 395,926 395,543 

ND 136,110 125,651 124,338 123,511 123,511 123,511 122,358 121,177 120,725 

OH 552,945 550,982 550,563 549,835 550,389 551,300 552,360 552,083 551,413 

OK 369,167 337,010 336,858 336,280 336,002 335,550 335,340 335,212 334,859 

PA 566,418 566,274 566,468 565,198 564,225 562,776 562,316 561,017 553,587 

RI 20,940 20,940 20,941 20,941 20,941 20,941 20,941 20,941 20,941 

SC 238,903 238,903 238,527 237,300 237,300 237,087 236,245 236,093 236,250 

SD 67,151 65,247 65,247 65,247 62,961 62,961 62,128 62,143 62,096 

TN 339,166 339,145 339,132 339,132 339,132 339,132 339,132 339,132 339,225 

TX 1,343,319 1,319,210 1,319,140 1,319,005 1,318,373 1,316,810 1,316,880 1,316,880 1,316,887 

VT 17,790 17,790 17,790 17,790 17,790 17,790 17,790 17,790 17,790 

VA 342,389 342,350 342,344 342,330 342,291 342,247 342,108 342,020 340,646 

WV 207,415 206,112 204,797 205,118 199,688 201,128 199,216 200,110 182,732 

WI 257,546 247,554 247,326 247,208 246,854 246,914 246,903 246,502 246,281 

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it 

allows system-wide electrical demand to be met at a lower system-wide total cost (because the model is optimizing for overall system cost, not for 

lowest NOx cost).
DRAFT – Do Not Cite or Quote – April 30, 2010 

58 

Table 2-23. Total Estimated NOx Emissions* (Tons) in 2014 for the Air Quality Modeling in 

Ozone Season. 

Year 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal 

Cost per 

Ton $0 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 364,171 333,159 333,594 333,564 333,436 332,469 332,487 332,146 330,959 327,648 

AR 200,092 190,385 169,902 169,914 169,349 169,013 168,407 168,644 168,954 169,126 

CT 74,801 67,040 67,040 67,040 67,040 67,040 67,040 67,040 67,040 67,040 

DE 39,687 38,487 38,960 38,964 38,959 38,959 38,961 38,958 38,958 38,949 

DC 9,802 8,569 8,569 8,569 8,569 8,569 8,569 8,569 8,569 8,569 

FL 863,515 797,575 753,403 725,943 724,783 723,914 722,880 716,516 698,160 687,167 

GA 413,780 350,207 346,359 345,906 345,418 345,418 345,478 344,995 345,046 344,541 

IL 542,957 500,795 501,040 501,429 501,589 501,534 501,399 501,007 501,077 501,340 

IN 505,127 469,488 467,180 464,202 462,225 460,443 459,688 457,615 448,475 445,642 

IA 251,721 238,078 226,168 222,308 222,036 222,111 220,962 219,613 219,005 215,913 

KS 295,012 290,858 249,050 249,100 248,981 248,877 248,427 247,824 245,626 245,284 

KY 346,399 321,347 321,409 319,878 318,106 318,134 316,935 316,754 315,708 312,367 

LA 586,912 563,890 555,458 555,463 555,539 555,561 555,561 555,561 546,997 546,230 

ME 64,559 60,505 60,434 60,434 60,434 60,295 60,126 60,049 60,054 60,070 

MD 181,731 170,730 170,863 170,897 170,884 171,003 171,033 170,983 171,001 170,961 

MA 191,911 181,981 182,248 182,248 182,249 182,249 182,264 182,288 182,279 182,258 

MI 478,955 445,539 445,572 445,618 445,095 440,954 441,021 440,977 440,970 439,348 

MN 352,694 330,863 314,549 314,944 315,340 314,814 315,054 315,099 314,990 314,369 

MS 222,801 207,166 187,875 187,875 187,869 187,869 187,869 187,869 187,863 184,069 

MO 354,085 332,931 332,234 329,856 328,984 327,957 327,713 325,215 310,114 305,820 

NE 194,233 182,717 163,940 164,091 164,091 164,074 158,099 158,163 158,113 158,111 

NH 44,067 39,883 39,866 39,866 39,828 39,828 39,828 39,783 39,783 39,783 

NJ 220,410 211,325 211,114 211,022 210,980 210,636 210,538 210,526 210,527 206,992 

NY 423,582 393,882 393,433 393,099 391,449 391,429 391,220 390,131 390,113 389,814 

NC 395,854 373,849 373,693 373,621 373,828 373,712 373,400 373,338 373,298 371,432 

ND 136,110 130,252 119,797 119,797 118,486 117,659 101,670 101,661 101,596 96,620 

OH 552,945 524,055 521,316 518,638 518,806 513,529 513,234 511,875 511,531 497,298 

OK 369,167 344,203 315,551 315,551 315,337 315,059 312,597 312,419 312,071 306,137 

PA 566,418 541,262 539,584 537,266 537,059 537,830 536,978 536,285 536,286 494,361 

RI 20,940 19,543 19,522 19,522 19,522 19,522 19,522 19,531 19,530 19,530 

SC 238,903 224,419 223,852 223,028 222,820 222,467 221,830 221,594 221,446 221,176 

SD 67,151 62,388 60,484 60,484 60,484 48,844 48,844 48,867 48,867 48,867 

TN 339,166 313,805 313,784 313,664 312,146 312,045 312,145 312,145 312,194 312,028 

TX 1,343,319 1,253,342 1,231,609 1,230,211 1,229,910 1,228,861 1,226,638 1,226,400 1,226,481 1,225,987 

VT 17,790 15,713 15,713 15,713 15,713 15,713 15,713 15,713 15,713 15,713 

VA 342,389 316,274 316,004 314,935 314,840 314,838 314,764 314,912 314,832 314,124 

WV 207,415 201,764 201,387 199,964 189,105 189,844 184,312 184,418 179,017 178,482 

WI 257,546 242,515 231,873 231,852 231,470 231,259 230,919 230,016 229,863 228,534 

* For some smaller states at some marginal costs of reductions, a higher marginal cost option may be chosen over a lower marginal cost option if it 

allows system-wide electrical demand to be met at a lower system-wide total cost (because the model is optimizing for overall system cost, not for 

lowest NOx cost). 
DRAFT – Do Not Cite or Quote – April 30, 2010 

59 

Table 2-24. Fraction* of Total NOx Emissions at Various Marginal Costs per 

Ton in 2012 to the Total Emissions in the 2012 Base. 

Year 2012 2012 2012 2012 2012 2012 

Marginal Cost 

per Ton $0 $500 $750 $1,000 $1,250 $1,500 

State 

AL 1.0000 0.8559 0.8558 0.8558 0.8557 0.8555 

AR 1.0000 0.9020 0.9018 0.9022 0.9029 0.9027 

CT 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 

DE 1.0000 1.0062 1.0058 1.0012 1.0012 1.0012 

DC 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 

FL 1.0000 0.9281 0.8988 0.8983 0.8974 0.8973 

GA 1.0000 0.9947 0.9947 0.9948 0.9948 0.9943 

IL 1.0000 0.9616 0.9618 0.9616 0.9616 0.9617 

IN 1.0000 0.8286 0.8280 0.8268 0.8259 0.8230 

IA 1.0000 0.9522 0.9408 0.9391 0.9382 0.9382 

KS 1.0000 0.8716 0.8743 0.8737 0.8723 0.8715 

KY 1.0000 0.7826 0.7820 0.7802 0.7788 0.7782 

LA 1.0000 0.9852 0.9852 0.9850 0.9849 0.9849 

ME 1.0000 0.9988 0.9983 0.9981 0.9981 0.9981 

MD 1.0000 1.0002 1.0002 1.0002 1.0002 1.0002 

MA 1.0000 1.0011 1.0011 1.0011 1.0011 1.0010 

MI 1.0000 0.9373 0.9373 0.9374 0.9374 0.9374 

MN 1.0000 0.9545 0.9547 0.9552 0.9556 0.9556 

MS 1.0000 0.9169 0.9170 0.9154 0.9145 0.9145 

MO 1.0000 0.9974 0.9897 0.9853 0.9796 0.9753 

NE 1.0000 0.9049 0.9049 0.9049 0.9043 0.9027 

NH 1.0000 0.9998 0.9998 0.9995 0.9995 0.9995 

NJ 1.0000 0.9869 0.9869 0.9870 0.9870 0.9864 

NY 1.0000 0.9999 0.9998 0.9998 0.9997 0.9997 

NC 1.0000 0.9998 0.9998 0.9998 0.9998 0.9999 

ND 1.0000 0.9232 0.9232 0.9197 0.9190 0.9109 

OH 1.0000 0.8915 0.8914 0.8908 0.8894 0.8897 

OK 1.0000 0.9046 0.9044 0.9044 0.9042 0.9040 

PA 1.0000 0.8634 0.8618 0.8621 0.8614 0.8598 

RI 1.0000 1.0002 1.0002 1.0003 1.0003 1.0003 

SC 1.0000 0.9518 0.9518 0.9516 0.9498 0.9498 

SD 1.0000 0.9716 0.9716 0.9580 0.9572 0.9564 

TN 1.0000 0.8821 0.8821 0.8821 0.8821 0.8821 

TX 1.0000 0.9813 0.9813 0.9813 0.9813 0.9810 

VT 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 

VA 1.0000 0.9990 0.9990 0.9990 0.9990 0.9990 

WV 1.0000 0.7754 0.7747 0.7706 0.7687 0.7683 

WI 1.0000 0.9642 0.9621 0.9620 0.9607 0.9591 

*For some states, emissions may increase slightly from one marginal cost to the next leading to increasing values. For cases 

where the fraction is greater than 1, total state emissions are estimated to be larger than that state’s 2012 base case. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

60 

Table 2-25. Fraction* of Total NOx Emissions at Various Marginal Costs per 

Ton in 2014 to the Total Emissions in the 2012 Base. 

Year 2012 2014 2014 2014 2014 2014 2014

Marginal 

Cost per Ton $0 $0 $500 $750 $1,000 $1,250 $1,500

State 

AL 1.0000 0.9384 0.7836 0.7837 0.7835 0.7836 0.7831

AR 1.0000 0.9477 0.8480 0.8481 0.8482 0.8467 0.8466

CT 1.0000 0.8964 0.8965 0.8965 0.8964 0.8964 0.8964

DE 1.0000 0.9719 0.9777 0.9776 0.9730 0.9729 0.9729

DC 1.0000 0.8741 0.8741 0.8741 0.8741 0.8741 0.8741

FL 1.0000 0.9220 0.8600 0.8343 0.8335 0.8332 0.8329

GA 1.0000 0.8452 0.8390 0.8381 0.8381 0.8381 0.8376

IL 1.0000 0.9276 0.8836 0.8832 0.8830 0.8830 0.8829

IN 1.0000 0.9401 0.7686 0.7675 0.7676 0.7667 0.7676

IA 1.0000 0.9403 0.8919 0.8789 0.8765 0.8754 0.8693

KS 1.0000 0.9824 0.8429 0.8433 0.8418 0.8412 0.8365

KY 1.0000 0.9405 0.7209 0.7202 0.7193 0.7187 0.7184

LA 1.0000 0.9628 0.9486 0.9486 0.9487 0.9487 0.9487

ME 1.0000 0.9336 0.9324 0.9317 0.9288 0.9266 0.9266

MD 1.0000 0.9403 0.9409 0.9409 0.9409 0.9410 0.9410

MA 1.0000 0.9481 0.9491 0.9491 0.9491 0.9490 0.9490

MI 1.0000 0.9293 0.8662 0.8658 0.8652 0.8652 0.8648

MN 1.0000 0.9389 0.8923 0.8930 0.8926 0.8926 0.8923

MS 1.0000 0.9274 0.8439 0.8439 0.8439 0.8439 0.8439

MO 1.0000 0.9413 0.9385 0.9338 0.9325 0.9115 0.8795

NE 1.0000 0.9391 0.8436 0.8439 0.8436 0.8121 0.8121

NH 1.0000 0.9051 0.9049 0.9049 0.9049 0.9049 0.9045

NJ 1.0000 0.9532 0.9396 0.9396 0.9396 0.9392 0.9392

NY 1.0000 0.9291 0.9274 0.9230 0.9228 0.9225 0.9204

NC 1.0000 0.9448 0.9446 0.9440 0.9441 0.9442 0.9441

ND 1.0000 0.9570 0.8802 0.8802 0.8774 0.7531 0.7504

OH 1.0000 0.9384 0.8274 0.8266 0.8257 0.8244 0.8166

OK 1.0000 0.9420 0.8578 0.8580 0.8582 0.8582 0.8580

PA 1.0000 0.9510 0.8107 0.8103 0.8101 0.8098 0.8094

RI 1.0000 0.9347 0.9338 0.9338 0.9338 0.9338 0.9338

SC 1.0000 0.9397 0.8907 0.8894 0.8892 0.8891 0.8892

SD 1.0000 0.9288 0.9004 0.9004 0.7267 0.7267 0.7267

TN 1.0000 0.9195 0.8015 0.8015 0.8015 0.8015 0.8012

TX 1.0000 0.9367 0.9213 0.9207 0.9205 0.9187 0.9187

VT 1.0000 0.8832 0.8832 0.8832 0.8832 0.8832 0.8832

VA 1.0000 0.9222 0.9209 0.9209 0.9214 0.9217 0.9208

WV 1.0000 0.9532 0.7315 0.7306 0.7293 0.7287 0.7089

WI 1.0000 0.9393 0.9000 0.9002 0.8981 0.8970 0.8951

*For some states, emissions may increase slightly from one marginal cost to the next leading to increasing values. For cases 

where the fraction is greater than 1, total state emissions are estimated to be larger than that state’s 2012 base case
DRAFT – Do Not Cite or Quote – April 30, 2010 

61 

Table 2-26. Fraction* of Total SO2 Emissions at Various Marginal Costs per Ton in 2012 to the Total Emi

2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 2012 

Marginal Cost per Ton $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 State AL 1.0000 0.9525 0.8685 0.8035 0.7036 0.6774 0.6786 0.6772 0.6399 0.6382 0.6288 0.6244 AR 1.0000 1.0001 0.9959 0.9968 0.9974 0.9954 0.9809 0.9798 0.9798 0.9805 0.9808 0.9810 CT 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0004 1.0006 DE 1.0000 1.0272 1.0278 1.0278 1.0277 1.0275 1.0275 1.0273 1.0273 1.0272 1.0272 1.0271 DC 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 FL 1.0000 0.9486 0.8780 0.8846 0.8189 0.7722 0.7726 0.7702 0.7708 0.7551 0.7502 0.7490 GA 1.0000 0.9959 0.5936 0.5922 0.5902 0.5971 0.5868 0.5849 0.5627 0.5434 0.5431 0.5396 IL 1.0000 0.7031 0.5959 0.5479 0.4787 0.4719 0.4721 0.4678 0.4654 0.4592 0.4512 0.4488 IN 1.0000 0.6734 0.5804 0.5390 0.5314 0.5094 0.5048 0.4839 0.4819 0.4510 0.4453 0.4444 IA 1.0000 0.9240 0.8581 0.8415 0.8352 0.8319 0.7837 0.7436 0.7439 0.7444 0.7416 0.7376 KS 1.0000 1.0130 1.0207 0.9477 0.9942 0.8975 0.8669 0.8648 0.8426 0.8384 0.8379 0.8372 KY 1.0000 0.4569 0.4411 0.4314 0.4181 0.4036 0.3916 0.3707 0.3562 0.3529 0.3387 0.3290 LA 1.0000 0.9971 0.9867 0.9867 0.9867 0.9867 0.9855 0.9855 0.9855 0.9855 0.9855 0.9855 ME 1.0000 1.0000 0.9844 0.9849 0.9849 0.9849 0.9849 0.8985 0.8649 0.8592 0.8041 0.7496 MD 1.0000 1.0001 1.0001 1.0001 0.9556 0.9461 0.9422 0.9425 0.9417 0.9240 0.9189 0.9195 MA 1.0000 1.0095 1.0095 1.0095 0.9247 0.9247 0.9247 0.9247 0.9247 0.9247 0.9247 0.9247 MI 1.0000 0.9628 0.9247 0.9003 0.8198 0.8147 0.8099 0.8037 0.8063 0.8065 0.8048 0.8001 MN 1.0000 1.0020 0.9680 0.9447 0.9383 0.9390 0.9390 0.9390 0.9411 0.9406 0.9405 0.9455 MS 1.0000 1.0000 1.0000 1.0000 0.9950 0.9948 0.9949 0.9948 1.0000 0.9988 0.9989 0.9988 MO 1.0000 0.6543 0.6113 0.6074 0.6017 0.6000 0.5886 0.5664 0.5610 0.5597 0.5592 0.5589 NE 1.0000 0.9943 0.9910 0.9808 0.9563 0.9118 0.7360 0.7123 0.7053 0.7021 0.7012 0.6957 NH 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 NJ 1.0000 1.0000 0.8497 0.8485 0.8419 0.7700 0.7700 0.7700 0.7680 0.7728 0.7728 0.7717 NY 1.0000 1.0000 1.0000 0.9981 0.9984 0.9972 0.9945 0.9942 0.9535 0.9277 0.9257 0.9221 NC 1.0000 0.9592 0.9897 0.9707 0.9549 0.9427 0.9421 0.9257 0.9213 0.9209 0.8992 0.9049 ND 1.0000 0.9826 0.9826 0.9818 0.9818 0.9818 0.6462 0.6462 0.6462 0.6347 0.6347 0.6347 OH 1.0000 0.6453 0.5473 0.5240 0.4982 0.4561 0.4266 0.4003 0.3924 0.3900 0.3653 0.3513 OK 1.0000 1.0185 0.9963 0.8917 0.7857 0.7994 0.7453 0.7453 0.7453 0.7453 0.7453 0.7453 PA 1.0000 0.8924 0.5057 0.4652 0.4509 0.4215 0.4099 0.3960 0.3917 0.3843 0.3530 0.3467 RI 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 SC 1.0000 0.9694 0.9880 0.9781 0.9595 0.9564 0.9500 0.9448 0.9099 0.8831 0.8809 0.8711 SD 1.0000 1.0000 0.9743 0.9743 0.9743 0.9413 0.9413 0.9413 0.9413 0.9413 0.9413 0.9413 TN 1.0000 0.5030 0.3426 0.3399 0.3377 0.3375 0.3375 0.3361 0.3361 0.3363 0.3361 0.3320 TX 1.0000 0.9982 0.9864 0.9844 0.9842 0.9493 0.9493 0.9476 0.9475 0.9471 0.9469 0.9469 VT 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 VA 1.0000 0.9999 0.9565 0.9121 0.9095 0.9095 0.9069 0.9004 0.8853 0.8681 0.8673 0.8587 WV 1.0000 0.4117 0.3801 0.3535 0.3194 0.3106 0.3076 0.2930 0.2841 0.2824 0.2790 0.2752 WI 1.0000 0.9674 0.9519 0.9500 0.9687 0.9165 0.9174 0.8883 0.8875 0.8835 0.9039 0.9122 

*For some states, emissions may increase slightly from one marginal cost to the next leading to increasing values. For cases where the fraction is greater than 1, total state emissions a

2012 base case
DRAFT – Do Not Cite or Quote – April 30, 2010 

62 

Table 2-27. Fraction* of Total SO2 Emissions at Various Marginal Costs per Ton in 2014 to the Total Em

2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal Cost per Ton $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 State AL 1.0000 0.9670 0.9337 0.8264 0.7692 0.6524 0.6400 0.6325 0.6299 0.6294 0.6172 0.5868 AR 1.0000 1.0193 1.0195 0.9971 0.9974 0.9974 0.9973 0.9973 0.9976 0.9975 0.9978 0.9880 CT 1.0000 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 0.9098 DE 1.0000 1.0241 1.0496 1.0502 1.0506 1.0506 1.0507 1.0508 1.0508 1.0508 1.0398 1.0402 DC 1.0000 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 FL 1.0000 0.9387 0.9027 0.8888 0.8882 0.8192 0.7740 0.7747 0.7738 0.7655 0.7638 0.7612 GA 1.0000 0.4402 0.4288 0.3851 0.3863 0.3815 0.3812 0.3787 0.3751 0.3566 0.3429 0.3337 IL 1.0000 0.3931 0.3748 0.3523 0.3513 0.3523 0.3522 0.3523 0.3523 0.3505 0.3520 0.3519 IN 1.0000 0.9731 0.6428 0.5965 0.5147 0.5064 0.4905 0.4879 0.4747 0.4528 0.4489 0.4462 IA 1.0000 0.9741 0.8803 0.8382 0.7999 0.7679 0.7431 0.7415 0.7377 0.7400 0.7372 0.7348 KS 1.0000 1.0464 1.0394 0.9619 0.8995 0.9009 0.9002 0.8834 0.8774 0.8722 0.8696 0.8684 KY 1.0000 1.0224 0.4283 0.4218 0.3996 0.3939 0.3931 0.3868 0.3725 0.3260 0.3136 0.3036 LA 1.0000 0.9594 0.9594 0.9595 0.9596 0.9596 0.9596 0.9596 0.9597 0.9597 0.9597 0.9597 ME 1.0000 0.9278 0.9278 0.9278 0.8754 0.8569 0.8551 0.8551 0.8551 0.7709 0.7111 0.7111 MD 1.0000 0.9552 0.9569 0.9570 0.9570 0.9569 0.9569 0.9569 0.9569 0.9569 0.9571 0.9571 MA 1.0000 1.0244 1.0339 1.0339 1.0328 0.9474 0.9474 0.9474 0.9474 0.9474 0.9474 0.9474 MI 1.0000 0.9706 0.9187 0.9161 0.8991 0.8266 0.8213 0.8138 0.8123 0.8097 0.8079 0.8053 MN 1.0000 1.0740 1.0217 0.9981 0.9616 0.9609 0.9367 0.9301 0.9294 0.9300 0.9304 0.9315 MS 1.0000 1.0112 0.9869 0.9940 0.9855 0.9850 0.9862 0.9901 0.9901 0.9901 0.9901 0.9901 MO 1.0000 1.0924 0.7223 0.6329 0.6166 0.6070 0.5882 0.5889 0.5893 0.5873 0.5858 0.5867 NE 1.0000 0.9630 0.9855 0.9462 0.7907 0.7224 0.6990 0.6933 0.6930 0.6901 0.6834 0.6807 NH 1.0000 0.9637 0.9637 0.9637 0.9637 0.9637 0.9637 0.9603 0.9987 0.9987 0.9987 0.9987 NJ 1.0000 1.0356 1.0340 0.8771 0.8770 0.8036 0.8043 0.8054 0.8034 0.8035 0.8032 0.8006 NY 1.0000 0.9880 0.9847 0.9877 0.9850 0.9716 0.9666 0.9555 0.9199 0.9168 0.9051 0.9034 NC 1.0000 1.0675 1.0675 1.0674 1.0414 1.0417 1.0265 1.0226 0.9717 0.9667 0.9615 0.9298 ND 1.0000 1.0287 0.9800 0.9800 0.7904 0.6437 0.6437 0.6437 0.6436 0.6436 0.6320 0.6320 OH 1.0000 0.9005 0.6603 0.6329 0.6014 0.5061 0.4985 0.4535 0.4184 0.3922 0.3786 0.3609 OK 1.0000 1.0470 1.0470 0.8491 0.7749 0.7749 0.7749 0.7749 0.7752 0.7752 0.7751 0.7751 PA 1.0000 1.0035 0.8701 0.5278 0.4903 0.4475 0.4345 0.3426 0.3346 0.3142 0.2942 0.2897 RI 1.0000 1.0279 1.0279 1.0279 1.0279 1.0279 1.0279 1.0279 1.0279 1.0279 1.0279 1.0279 SC 1.0000 1.0352 0.9586 0.9526 0.9500 0.9454 0.9399 0.9267 0.9158 0.9038 0.8708 0.7235 SD 1.0000 0.9987 0.9987 0.9987 0.9730 0.9730 0.9730 0.9454 0.9243 0.9064 0.9064 0.9063 TN 1.0000 1.0035 0.3746 0.3416 0.3370 0.3367 0.3367 0.3367 0.3369 0.3346 0.3309 0.3099 TX 1.0000 1.0593 1.0527 1.0515 1.0507 1.0501 1.0154 1.0154 1.0152 1.0145 1.0104 1.0114 VT 1.0000 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 VA 1.0000 0.9664 0.9554 0.9540 0.8671 0.8653 0.8615 0.8562 0.8551 0.8502 0.8379 0.7996 WV 1.0000 0.8568 0.3648 0.3511 0.3420 0.3389 0.3371 0.3365 0.3289 0.3354 0.3334 0.3089 WI 1.0000 1.0532 1.0196 1.0004 1.0029 0.9983 0.9438 0.9364 0.9268 0.9156 0.9116 0.8986 

*For some states, emissions may increase slightly from one marginal cost to the next leading to increasing values. For cases where the fraction is greater than 1, total sta

than that state’s 2012 base case.
DRAFT – Do Not Cite or Quote – April 30, 2010 

63 

Table 2-28. Fraction* of Total Ozone Season NOx Emissions at Various Marginal 

Costs per Ton in 2012 to the Total Ozone Season Emissions in the 2012 Base. 

Year 2012 2012 2012 2012 2012 2012 2012 2012 2012 

Marginal Cost 

per Ton $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 1.0000 1.0007 1.0008 0.9996 0.9958 0.9958 0.9955 0.9944 0.9916 

AR 1.0000 0.9019 0.9028 0.9037 0.9031 0.9041 0.9032 0.9033 0.9042 

CT 1.0000 0.9998 0.9998 0.9998 0.9998 0.9998 0.9998 0.9998 0.9999 

DE 1.0000 1.0104 1.0104 1.0090 1.0066 1.0066 1.0066 1.0066 1.0066 

DC 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 

FL 1.0000 0.9382 0.9068 0.9047 0.9045 0.9042 0.9042 0.9025 0.9015 

GA 1.0000 0.9900 0.9901 0.9892 0.9891 0.9880 0.9880 0.9880 0.9873 

IL 1.0000 1.0004 1.0011 1.0013 1.0016 1.0018 1.0017 1.0020 1.0015 

IN 1.0000 0.9934 0.9819 0.9746 0.9715 0.9666 0.9655 0.9613 0.9596 

IA 1.0000 0.9547 0.9403 0.9400 0.9377 0.9398 0.9411 0.9402 0.9343 

KS 1.0000 0.8740 0.8764 0.8771 0.8716 0.8720 0.8707 0.8698 0.8695 

KY 1.0000 0.9956 0.9910 0.9872 0.9870 0.9798 0.9780 0.9753 0.9664 

LA 1.0000 0.9843 0.9839 0.9835 0.9836 0.9838 0.9839 0.9839 0.9839 

ME 1.0000 0.9991 0.9991 0.9991 0.9991 0.9991 0.9991 0.9991 0.9991 

MD 1.0000 1.0000 1.0000 0.9998 0.9990 0.9984 0.9984 0.9983 0.9984 

MA 1.0000 1.0023 1.0023 1.0023 1.0024 1.0024 1.0023 1.0023 1.0023 

MI 1.0000 1.0006 1.0008 1.0008 1.0010 1.0000 0.9936 0.9918 0.9914 

MN 1.0000 0.9553 0.9564 0.9567 0.9567 0.9562 0.9564 0.9569 0.9553 

MS 1.0000 0.9164 0.9138 0.9138 0.9138 0.9138 0.9138 0.9138 0.9139 

MO 1.0000 0.9972 0.9870 0.9818 0.9827 0.9773 0.9777 0.9756 0.9570 

NE 1.0000 0.9047 0.9047 0.9009 0.8987 0.8987 0.8987 0.8987 0.8987 

NH 1.0000 0.9995 0.9988 0.9988 0.9977 0.9977 0.9977 0.9967 0.9929 

NJ 1.0000 1.0000 1.0000 0.9986 0.9983 0.9962 0.9960 0.9956 0.9952 

NY 1.0000 0.9998 0.9999 0.9999 0.9998 0.9997 1.0001 1.0001 0.9997 

NC 1.0000 1.0000 1.0001 0.9999 0.9999 0.9999 0.9999 1.0002 0.9992 

ND 1.0000 0.9232 0.9135 0.9074 0.9074 0.9074 0.8990 0.8903 0.8870 

OH 1.0000 0.9965 0.9957 0.9944 0.9954 0.9970 0.9989 0.9984 0.9972 

OK 1.0000 0.9129 0.9125 0.9109 0.9102 0.9089 0.9084 0.9080 0.9071 

PA 1.0000 0.9997 1.0001 0.9978 0.9961 0.9936 0.9928 0.9905 0.9773 

RI 1.0000 1.0000 1.0001 1.0001 1.0001 1.0001 1.0001 1.0001 1.0001 

SC 1.0000 1.0000 0.9984 0.9933 0.9933 0.9924 0.9889 0.9882 0.9889 

SD 1.0000 0.9716 0.9716 0.9716 0.9376 0.9376 0.9252 0.9254 0.9247 

TN 1.0000 0.9999 0.9999 0.9999 0.9999 0.9999 0.9999 0.9999 1.0002 

TX 1.0000 0.9821 0.9820 0.9819 0.9814 0.9803 0.9803 0.9803 0.9803 

VT 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 

VA 1.0000 0.9999 0.9999 0.9998 0.9997 0.9996 0.9992 0.9989 0.9949 

WV 1.0000 0.9937 0.9874 0.9889 0.9627 0.9697 0.9605 0.9648 0.8810 

WI 1.0000 0.9612 0.9603 0.9599 0.9585 0.9587 0.9587 0.9571 0.9563 

*For some states, emissions may increase slightly from one marginal cost to the next leading to increasing values. For cases where the 

fraction is greater than 1, total state emissions are estimated to be larger than that state’s 2012 base case.
DRAFT – Do Not Cite or Quote – April 30, 2010 

64 

Table 2-29. Fraction* of Total Ozone Season NOx Emissions at Various Marginal 

Costs per Ton in 2014 to the Total Ozone Season Emissions in the 2012 Base. 

Year 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal Cost 

per Ton $0 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL 1.0000 0.9148 0.9160 0.9160 0.9156 0.9129 0.9130 0.9121 0.9088 0.8997 

AR 1.0000 0.9515 0.8491 0.8492 0.8464 0.8447 0.8416 0.8428 0.8444 0.8452 

CT 1.0000 0.8962 0.8962 0.8962 0.8962 0.8962 0.8962 0.8962 0.8962 0.8962 

DE 1.0000 0.9698 0.9817 0.9818 0.9817 0.9817 0.9817 0.9816 0.9816 0.9814 

DC 1.0000 0.8741 0.8741 0.8741 0.8741 0.8741 0.8741 0.8741 0.8741 0.8741 

FL 1.0000 0.9236 0.8725 0.8407 0.8393 0.8383 0.8371 0.8298 0.8085 0.7958 

GA 1.0000 0.8464 0.8371 0.8360 0.8348 0.8348 0.8349 0.8338 0.8339 0.8327 

IL 1.0000 0.9223 0.9228 0.9235 0.9238 0.9237 0.9235 0.9227 0.9229 0.9234 

IN 1.0000 0.9294 0.9249 0.9190 0.9151 0.9115 0.9100 0.9059 0.8878 0.8822 

IA 1.0000 0.9458 0.8985 0.8832 0.8821 0.8824 0.8778 0.8724 0.8700 0.8577 

KS 1.0000 0.9859 0.8442 0.8444 0.8440 0.8436 0.8421 0.8400 0.8326 0.8314 

KY 1.0000 0.9277 0.9279 0.9234 0.9183 0.9184 0.9149 0.9144 0.9114 0.9018 

LA 1.0000 0.9608 0.9464 0.9464 0.9465 0.9466 0.9466 0.9466 0.9320 0.9307 

ME 1.0000 0.9372 0.9361 0.9361 0.9361 0.9339 0.9313 0.9301 0.9302 0.9305 

MD 1.0000 0.9395 0.9402 0.9404 0.9403 0.9410 0.9411 0.9409 0.9410 0.9407 

MA 1.0000 0.9483 0.9497 0.9496 0.9497 0.9497 0.9497 0.9499 0.9498 0.9497 

MI 1.0000 0.9302 0.9303 0.9304 0.9293 0.9207 0.9208 0.9207 0.9207 0.9173 

MN 1.0000 0.9381 0.8918 0.8930 0.8941 0.8926 0.8933 0.8934 0.8931 0.8913 

MS 1.0000 0.9298 0.8432 0.8432 0.8432 0.8432 0.8432 0.8432 0.8432 0.8262 

MO 1.0000 0.9403 0.9383 0.9316 0.9291 0.9262 0.9255 0.9185 0.8758 0.8637 

NE 1.0000 0.9407 0.8440 0.8448 0.8448 0.8447 0.8140 0.8143 0.8140 0.8140 

NH 1.0000 0.9051 0.9047 0.9047 0.9038 0.9038 0.9038 0.9028 0.9028 0.9028 

NJ 1.0000 0.9588 0.9578 0.9574 0.9572 0.9557 0.9552 0.9552 0.9552 0.9391 

NY 1.0000 0.9299 0.9288 0.9280 0.9241 0.9241 0.9236 0.9210 0.9210 0.9203 

NC 1.0000 0.9444 0.9440 0.9438 0.9444 0.9441 0.9433 0.9431 0.9430 0.9383 

ND 1.0000 0.9570 0.8801 0.8801 0.8705 0.8644 0.7470 0.7469 0.7464 0.7099 

OH 1.0000 0.9478 0.9428 0.9380 0.9383 0.9287 0.9282 0.9257 0.9251 0.8994 

OK 1.0000 0.9324 0.8548 0.8548 0.8542 0.8534 0.8468 0.8463 0.8453 0.8293 

PA 1.0000 0.9556 0.9526 0.9485 0.9482 0.9495 0.9480 0.9468 0.9468 0.8728 

RI 1.0000 0.9333 0.9323 0.9323 0.9323 0.9323 0.9323 0.9327 0.9327 0.9327 

SC 1.0000 0.9394 0.9370 0.9336 0.9327 0.9312 0.9285 0.9275 0.9269 0.9258 

SD 1.0000 0.9291 0.9007 0.9007 0.9007 0.7274 0.7274 0.7277 0.7277 0.7277 

TN 1.0000 0.9252 0.9252 0.9248 0.9203 0.9200 0.9203 0.9203 0.9205 0.9200 

TX 1.0000 0.9330 0.9168 0.9158 0.9156 0.9148 0.9131 0.9130 0.9130 0.9127 

VT 1.0000 0.8832 0.8832 0.8832 0.8832 0.8832 0.8832 0.8832 0.8832 0.8832 

VA 1.0000 0.9237 0.9229 0.9198 0.9195 0.9195 0.9193 0.9198 0.9195 0.9174 

WV 1.0000 0.9728 0.9709 0.9641 0.9117 0.9153 0.8886 0.8891 0.8631 0.8605 

WI 1.0000 0.9416 0.9003 0.9002 0.8988 0.8979 0.8966 0.8931 0.8925 0.8874 

*For some states, emissions may increase slightly from one marginal cost to the next leading to increasing values. For cases where the 

fraction is greater than 1, total state emissions are estimated to be larger than that state’s 2012 base case.
DRAFT – Do Not Cite or Quote – April 30, 2010 

65 

Table 2-30. Fractional Reduction* of Total NOx Emissions Removed at Various 

Marginal Costs per Ton in 2014 to the Total Emissions in the 2014 Base.

Year 2012** 2014 2014 2014 2014 2014 2014

Marginal 

Cost per Ton $0 $0 $500 $750 $1,000 $1,250 $1,500

State 

AL -0.0656 0.0000 0.1650 0.1649 0.1651 0.1650 0.1655

AR -0.0552 0.0000 0.1052 0.1051 0.1049 0.1066 0.1067

CT -0.1156 0.0000 -0.0001 -0.0001 -0.0001 0.0000 0.0000

DE -0.0289 0.0000 -0.0059 -0.0059 -0.0011 -0.0010 -0.0010

DC -0.1440 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

FL -0.0846 0.0000 0.0673 0.0951 0.0960 0.0963 0.0967

GA -0.1832 0.0000 0.0073 0.0084 0.0084 0.0084 0.0090

IL -0.0780 0.0000 0.0475 0.0479 0.0481 0.0481 0.0482

IN -0.0637 0.0000 0.1824 0.1836 0.1835 0.1844 0.1835

IA -0.0635 0.0000 0.0514 0.0653 0.0678 0.0690 0.0755

KS -0.0179 0.0000 0.1420 0.1416 0.1432 0.1437 0.1485

KY -0.0633 0.0000 0.2335 0.2343 0.2352 0.2358 0.2361

LA -0.0387 0.0000 0.0147 0.0147 0.0146 0.0146 0.0146

ME -0.0711 0.0000 0.0013 0.0020 0.0052 0.0075 0.0075

MD -0.0635 0.0000 -0.0006 -0.0006 -0.0007 -0.0008 -0.0008

MA -0.0548 0.0000 -0.0010 -0.0010 -0.0010 -0.0010 -0.0010

MI -0.0761 0.0000 0.0679 0.0683 0.0690 0.0690 0.0694

MN -0.0651 0.0000 0.0496 0.0489 0.0493 0.0493 0.0496

MS -0.0782 0.0000 0.0901 0.0901 0.0901 0.0901 0.0901

MO -0.0623 0.0000 0.0031 0.0080 0.0094 0.0317 0.0657

NE -0.0648 0.0000 0.1018 0.1014 0.1017 0.1352 0.1353

NH -0.1049 0.0000 0.0002 0.0002 0.0002 0.0002 0.0006

NJ -0.0491 0.0000 0.0142 0.0143 0.0142 0.0146 0.0147

NY -0.0763 0.0000 0.0019 0.0066 0.0068 0.0072 0.0094

NC -0.0584 0.0000 0.0002 0.0008 0.0008 0.0006 0.0007

ND -0.0450 0.0000 0.0803 0.0803 0.0831 0.2130 0.2158

OH -0.0657 0.0000 0.1182 0.1191 0.1201 0.1214 0.1298

OK -0.0616 0.0000 0.0893 0.0891 0.0890 0.0890 0.0892

PA -0.0516 0.0000 0.1475 0.1479 0.1481 0.1485 0.1489

RI -0.0698 0.0000 0.0010 0.0010 0.0010 0.0010 0.0010

SC -0.0641 0.0000 0.0522 0.0536 0.0538 0.0539 0.0538

SD -0.0767 0.0000 0.0306 0.0306 0.2176 0.2176 0.2176

TN -0.0875 0.0000 0.1283 0.1283 0.1283 0.1283 0.1287

TX -0.0675 0.0000 0.0165 0.0171 0.0173 0.0192 0.0193

VT -0.1322 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000

VA -0.0844 0.0000 0.0014 0.0014 0.0009 0.0006 0.0015

WV -0.0491 0.0000 0.2325 0.2336 0.2349 0.2355 0.2563

WI -0.0646 0.0000 0.0418 0.0416 0.0439 0.0450 0.0470

*For some states, emissions may increase slightly from one marginal cost to the next leading to decreasing values. For cases where 

the fraction is negative, total state emissions are estimated to be larger than that state’s 2014 base case. 

**In figures IV.D-1 through IV.D-4 in section IV.D of the preamble, reduction in concentration is assessed using the states’ 2014 base 

case, rather than the 2012 base case. 
DRAFT – Do Not Cite or Quote – April 30, 2010 

66 

Table 2-31. Fractional Reduction* of Total SO2 Emissions Removed at Various Marginal Costs per Ton in 

Emissions in the 2014 Base. 

2012** 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal Cost per Ton $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 State AL -0.0341 0.0000 0.0345 0.1454 0.2046 0.3254 0.3381 0.3460 0.3486 0.3492 0.3618 0.3932 AR 0.0189 0.0000 -0.0002 0.0218 0.0215 0.0215 0.0215 0.0215 0.0213 0.0214 0.0211 0.0306 CT 0.0010 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0911 DE 0.0235 0.0000 -0.0249 -0.0255 -0.0259 -0.0259 -0.0260 -0.0261 -0.0261 -0.0261 -0.0153 -0.0157 DC -0.0021 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 FL -0.0653 0.0000 0.0384 0.0532 0.0538 0.1273 0.1755 0.1748 0.1757 0.1846 0.1863 0.1891 GA -1.2718 0.0000 0.0259 0.1252 0.1223 0.1333 0.1341 0.1398 0.1479 0.1899 0.2210 0.2419 IL -1.5437 0.0000 0.0466 0.1038 0.1063 0.1039 0.1041 0.1038 0.1038 0.1084 0.1046 0.1049 IN -0.0276 0.0000 0.3394 0.3870 0.4711 0.4797 0.4960 0.4987 0.5122 0.5347 0.5387 0.5415 IA -0.0266 0.0000 0.0963 0.1395 0.1789 0.2117 0.2371 0.2388 0.2427 0.2403 0.2432 0.2456 KS 0.0444 0.0000 0.0067 0.0808 0.1404 0.1391 0.1397 0.1558 0.1615 0.1665 0.1689 0.1701 KY 0.0219 0.0000 0.5811 0.5875 0.6092 0.6148 0.6155 0.6217 0.6357 0.6812 0.6932 0.7030 LA -0.0423 0.0000 0.0000 0.0000 -0.0002 -0.0002 -0.0002 -0.0002 -0.0003 -0.0003 -0.0003 -0.0003 ME -0.0778 0.0000 0.0000 0.0000 0.0565 0.0764 0.0784 0.0784 0.0784 0.1692 0.2336 0.2336 MD -0.0470 0.0000 -0.0019 -0.0019 -0.0019 -0.0018 -0.0018 -0.0018 -0.0018 -0.0018 -0.0020 -0.0021 MA 0.0238 0.0000 -0.0093 -0.0093 -0.0083 0.0751 0.0751 0.0751 0.0751 0.0751 0.0751 0.0751 MI -0.0303 0.0000 0.0535 0.0561 0.0736 0.1484 0.1538 0.1615 0.1631 0.1658 0.1676 0.1703 MN 0.0689 0.0000 0.0487 0.0707 0.1047 0.1053 0.1279 0.1340 0.1347 0.1341 0.1337 0.1327 MS 0.0110 0.0000 0.0240 0.0169 0.0254 0.0259 0.0247 0.0209 0.0209 0.0209 0.0209 0.0209 MO 0.0845 0.0000 0.3388 0.4206 0.4355 0.4443 0.4615 0.4609 0.4606 0.4624 0.4638 0.4629 NE -0.0385 0.0000 -0.0234 0.0174 0.1789 0.2498 0.2741 0.2801 0.2803 0.2834 0.2904 0.2931 NH -0.0377 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0035 -0.0363 -0.0363 -0.0363 -0.0363 NJ 0.0344 0.0000 0.0016 0.1531 0.1532 0.2241 0.2234 0.2223 0.2243 0.2242 0.2244 0.2269 NY -0.0121 0.0000 0.0034 0.0003 0.0030 0.0166 0.0217 0.0329 0.0690 0.0720 0.0839 0.0856 NC 0.0632 0.0000 0.0000 0.0001 0.0244 0.0242 0.0384 0.0421 0.0897 0.0945 0.0993 0.1290 ND 0.0279 0.0000 0.0473 0.0473 0.2316 0.3743 0.3743 0.3743 0.3743 0.3743 0.3856 0.3856 OH -0.1105 0.0000 0.2667 0.2972 0.3321 0.4380 0.4464 0.4964 0.5354 0.5645 0.5795 0.5993 OK 0.0449 0.0000 0.0000 0.1890 0.2599 0.2599 0.2599 0.2599 0.2596 0.2596 0.2596 0.2596 PA 0.0034 0.0000 0.1329 0.4741 0.5114 0.5540 0.5670 0.6586 0.6665 0.6869 0.7068 0.7113 RI 0.0272 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 SC 0.0340 0.0000 0.0741 0.0798 0.0823 0.0868 0.0921 0.1049 0.1154 0.1269 0.1589 0.3011 SD -0.0013 0.0000 0.0000 0.0000 0.0257 0.0257 0.0257 0.0533 0.0745 0.0924 0.0924 0.0925 TN 0.0035 0.0000 0.6267 0.6596 0.6641 0.6645 0.6645 0.6645 0.6643 0.6666 0.6702 0.6912 TX 0.0559 0.0000 0.0062 0.0073 0.0081 0.0086 0.0415 0.0414 0.0416 0.0423 0.0461 0.0452 VT 0.0011 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 VA -0.0347 0.0000 0.0114 0.0129 0.1028 0.1046 0.1086 0.1141 0.1152 0.1203 0.1330 0.1727 WV -0.1671 0.0000 0.5742 0.5903 0.6009 0.6045 0.6066 0.6073 0.6161 0.6085 0.6108 0.6395 WI 0.0505 0.0000 0.0319 0.0502 0.0478 0.0521 0.1038 0.1109 0.1200 0.1306 0.1345 0.1468 

*For some states, emissions may increase slightly from one marginal cost to the next leading to decreasing values. For cases where the fraction is negative, total state em

than that state’s 2014 base case. **In figures IV.D-1 through IV.D-4 in section IV.D of the preamble, reduction in concentration is assessed using the states’ 2014 base case, rather than the 2012 base ca
67 

Table 2-32. Fractional Reduction* of Total Ozone Season NOx Emissions Removed 

at Various Marginal Costs per Ton in 2014 to the Total Ozone Season Emissions in 

the 2014 Base. 

Year 2012** 2014 2014 2014 2014 2014 2014 2014 2014 2014 

Marginal Cost 

per Ton $0 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000 

State 

AL -0.0931 0.0000 -0.0013 -0.0012 -0.0008 0.0021 0.0020 0.0030 0.0066 0.0165 

AR -0.0510 0.0000 0.1076 0.1075 0.1105 0.1123 0.1154 0.1142 0.1126 0.1117 

CT -0.1158 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 

DE -0.0312 0.0000 -0.0123 -0.0124 -0.0123 -0.0122 -0.0123 -0.0122 -0.0122 -0.0120 

DC -0.1440 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 

FL -0.0827 0.0000 0.0554 0.0898 0.0913 0.0924 0.0937 0.1016 0.1246 0.1384 

GA -0.1815 0.0000 0.0110 0.0123 0.0137 0.0137 0.0135 0.0149 0.0147 0.0162 

IL -0.0842 0.0000 -0.0005 -0.0013 -0.0016 -0.0015 -0.0012 -0.0004 -0.0006 -0.0011 

IN -0.0759 0.0000 0.0049 0.0113 0.0155 0.0193 0.0209 0.0253 0.0448 0.0508 

IA -0.0573 0.0000 0.0500 0.0662 0.0674 0.0671 0.0719 0.0776 0.0801 0.0931 

KS -0.0143 0.0000 0.1437 0.1436 0.1440 0.1443 0.1459 0.1480 0.1555 0.1567 

KY -0.0780 0.0000 -0.0002 0.0046 0.0101 0.0100 0.0137 0.0143 0.0175 0.0279 

LA -0.0408 0.0000 0.0150 0.0149 0.0148 0.0148 0.0148 0.0148 0.0300 0.0313 

ME -0.0670 0.0000 0.0012 0.0012 0.0012 0.0035 0.0063 0.0075 0.0075 0.0072 

MD -0.0644 0.0000 -0.0008 -0.0010 -0.0009 -0.0016 -0.0018 -0.0015 -0.0016 -0.0013 

MA -0.0546 0.0000 -0.0015 -0.0015 -0.0015 -0.0015 -0.0016 -0.0017 -0.0016 -0.0015 

MI -0.0750 0.0000 -0.0001 -0.0002 0.0010 0.0103 0.0101 0.0102 0.0103 0.0139 

MN -0.0660 0.0000 0.0493 0.0481 0.0469 0.0485 0.0478 0.0476 0.0480 0.0499 

MS -0.0755 0.0000 0.0931 0.0931 0.0931 0.0932 0.0932 0.0931 0.0932 0.1115 

MO -0.0635 0.0000 0.0021 0.0092 0.0119 0.0149 0.0157 0.0232 0.0685 0.0814 

NE -0.0630 0.0000 0.1028 0.1019 0.1019 0.1020 0.1347 0.1344 0.1347 0.1347 

NH -0.1049 0.0000 0.0004 0.0004 0.0014 0.0014 0.0014 0.0025 0.0025 0.0025 

NJ -0.0430 0.0000 0.0010 0.0014 0.0016 0.0033 0.0037 0.0038 0.0038 0.0205 

NY -0.0754 0.0000 0.0011 0.0020 0.0062 0.0062 0.0068 0.0095 0.0096 0.0103 

NC -0.0589 0.0000 0.0004 0.0006 0.0001 0.0004 0.0012 0.0014 0.0015 0.0065 

ND -0.0450 0.0000 0.0803 0.0803 0.0903 0.0967 0.2194 0.2195 0.2200 0.2582 

OH -0.0551 0.0000 0.0052 0.0103 0.0100 0.0201 0.0206 0.0232 0.0239 0.0511 

OK -0.0725 0.0000 0.0832 0.0832 0.0839 0.0847 0.0918 0.0923 0.0934 0.1106 

PA -0.0465 0.0000 0.0031 0.0074 0.0078 0.0063 0.0079 0.0092 0.0092 0.0867 

RI -0.0715 0.0000 0.0010 0.0010 0.0010 0.0010 0.0010 0.0006 0.0006 0.0006 

SC -0.0645 0.0000 0.0025 0.0062 0.0071 0.0087 0.0115 0.0126 0.0132 0.0145 

SD -0.0763 0.0000 0.0305 0.0305 0.0305 0.2171 0.2171 0.2167 0.2167 0.2167 

TN -0.0808 0.0000 0.0001 0.0004 0.0053 0.0056 0.0053 0.0053 0.0051 0.0057 

TX -0.0718 0.0000 0.0173 0.0185 0.0187 0.0195 0.0213 0.0215 0.0214 0.0218 

VT -0.1322 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 

VA -0.0826 0.0000 0.0009 0.0042 0.0045 0.0045 0.0048 0.0043 0.0046 0.0068 

WV -0.0280 0.0000 0.0019 0.0089 0.0627 0.0591 0.0865 0.0860 0.1127 0.1154 

WI -0.0620 0.0000 0.0439 0.0440 0.0455 0.0464 0.0478 0.0515 0.0522 0.0576 

*For some states, emissions may increase slightly from one marginal cost to the next leading to decreasing values. For cases where 

the fraction is negative, total state emissions are estimated to be larger than that state’s 2014 base case. 

**In figures IV.D-1 through IV.D-4 in section IV.D of the preamble, reduction in concentration is assessed using the states’ 2014 base 

case, rather than the 2012 base case. 
68 

Table 2-33. Estimated State-by-State Annual Sulfate, Nitrate, and Total Sulfate and 

Nitrate Contributions (g/m3

) to Each of Three Monitors in 2014 Using the Air 

Quality Assessment Tool (With SO2 Marginal Cost at $1,200/Ton and NOx Marginal 

Cost at $500/Ton). 

Sulfate 

Contributions 

Sulfate 

Contributions 

Sulfate 

Contributions 

Nitrate 

Contributions 

Nitrate 

Contributions 

Nitrate 

Contributions 

Total Nitrate 

and Sulfate 

Contributions 

Total Nitrate 

and Sulfate 

Contributions 

Total Nitrate 

and Sulfate 

Contributions 

Monitor 

Identification 

Number 420030064 010730023 390618001 420030064 010730023 390618001 420030064 010730023 390618001 

Receptor state Pennsylvania Alabama Ohio Pennsylvania Alabama Ohio Pennsylvania Alabama Ohio 

Receptor county Allegheny Jefferson Hamilton Allegheny Jefferson Hamilton Allegheny Jefferson Hamilton 

2012 Average 

Design Value 18.9 17.15 16.93 18.9 17.15 16.93 18.9 17.15 16.93 

2012 Max Design 

Value 19.31 17.33 17.27 19.31 17.33 17.27 19.31 17.33 17.27 

AL 0.04529 2.06712 0.11671 0.00097 0.11020 0.00684 0.04625 2.17731 0.12355

AR 0.01525 0.03246 0.02859 0.00060 0.00226 0.00435 0.01585 0.03473 0.03294

CT 0.00568 0.00648 0.00199 0.00042 0.00002 0.00012 0.00610 0.00649 0.00211

DE 0.01530 0.01073 0.00612 0.00069 0.00002 0.00026 0.01599 0.01075 0.00639

DC 0.00377 0.00575 0.00132 0.00055 0.00000 0.00012 0.00432 0.00575 0.00144

FL 0.01591 0.11386 0.02518 0.00015 0.00240 0.00087 0.01606 0.11627 0.02605

GA 0.03284 0.20710 0.05858 0.00067 0.01335 0.00274 0.03351 0.22045 0.06132

IL 0.08337 0.06314 0.16105 0.02607 0.00239 0.09671 0.10943 0.06552 0.25776

IN 0.16660 0.12508 0.47345 0.03001 0.00397 0.17583 0.19661 0.12904 0.64928

IA 0.04834 0.04566 0.08327 0.00645 0.00102 0.02119 0.05479 0.04668 0.10447

KS 0.01224 0.02323 0.01614 0.00225 0.00109 0.00743 0.01449 0.02432 0.02356

KY 0.08337 0.08689 0.26218 0.00927 0.00472 0.11227 0.09264 0.09161 0.37445

LA 0.01579 0.10897 0.03312 0.00023 0.00603 0.00130 0.01602 0.11501 0.03442

ME 0.00478 0.00574 0.00185 0.00015 0.00000 0.00013 0.00493 0.00574 0.00197

MD 0.10664 0.02573 0.02897 0.01253 0.00016 0.00190 0.11918 0.02589 0.03087

MA 0.00973 0.00781 0.00291 0.00045 0.00000 0.00012 0.01018 0.00781 0.00303

MI 0.20759 0.05493 0.23958 0.05692 0.00072 0.05354 0.26451 0.05564 0.29311

MN 0.02085 0.01902 0.03302 0.00852 0.00075 0.02052 0.02936 0.01977 0.05354

MS 0.00841 0.06960 0.01301 0.00029 0.00621 0.00175 0.00871 0.07581 0.01477

MO 0.11141 0.14451 0.12504 0.00468 0.00264 0.02014 0.11609 0.14714 0.14518

NE 0.01611 0.02509 0.02302 0.00223 0.00063 0.00545 0.01834 0.02572 0.02847

NH 0.00438 0.00555 0.00145 0.00014 0.00000 0.00012 0.00452 0.00555 0.00156

NJ 0.02210 0.01307 0.00768 0.00315 0.00007 0.00051 0.02526 0.01314 0.00820

NY 0.16205 0.02647 0.08747 0.01236 0.00016 0.00714 0.17441 0.02663 0.09461

NC 0.05833 0.09049 0.04623 0.00134 0.00230 0.00216 0.05967 0.09279 0.04840

ND 0.01481 0.01544 0.01767 0.00189 0.00023 0.00478 0.01670 0.01567 0.02245

OH 0.41906 0.09222 0.78884 0.12859 0.00170 0.33968 0.54765 0.09392 1.12852

OK 0.01531 0.02732 0.02332 0.00119 0.00100 0.00394 0.01649 0.02831 0.02725

PA 0.61316 0.14768 0.14523 0.22244 0.00057 0.03687 0.83560 0.14825 0.18210

RI 0.00406 0.00592 0.00140 0.00007 0.00000 0.00000 0.00413 0.00592 0.00140

SC 0.02907 0.11479 0.03063 0.00030 0.00186 0.00089 0.02937 0.11665 0.03152

SD 0.00610 0.00927 0.00518 0.00096 0.00018 0.00263 0.00706 0.00944 0.00781

TN 0.05511 0.10617 0.15732 0.00278 0.01226 0.01872 0.05789 0.11843 0.17603

TX 0.02476 0.06163 0.04597 0.00111 0.00375 0.00417 0.02586 0.06538 0.05014

VT 0.00393 0.00576 0.00150 0.00014 0.00000 0.00011 0.00407 0.00576 0.00161

VA 0.11276 0.05889 0.06211 0.00924 0.00058 0.00349 0.12200 0.05947 0.06560

WV 0.31190 0.10609 0.11244 0.03388 0.00046 0.01688 0.34578 0.10655 0.12932

WI 0.05830 0.03249 0.09028 0.01297 0.00048 0.03093 0.07128 0.03297 0.12121

 
69 

Table 3-1. Total* Annual Average Reductions In Nitrate And Sulfate Concentration (g/m3) at Downwind States as a Function of EGU NOx and SO2 Emissions Reductions at Various Marginal Costs per Ton of Re

(Estimated Using AQAT). 

Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 20

SO2

Marginal 

Cost per 

Ton 

$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,0

NOx

Marginal 

Cost per 

Ton 

$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 

Avg. 

Design 

Value

2012 

Max. 

Design 

Value

420030064 Pennsylvania Allegheny 18.9 19.31 0.00 0.47 0.55 0.55 0.55 0.55 0.55 0.00 0.47 1.88 2.66 2.83 3.05 3.09 3.34 3.42 3.010730023 Alabama Jefferson 17.15 17.32 0.00 0.60 0.63 0.63 0.63 0.63 0.63 0.00 0.60 1.25 1.67 1.90 2.33 2.39 2.43 2.45 2.390618001 Ohio Hamilton 16.93 17.27 0.00 0.68 0.82 0.82 0.82 0.82 0.83 0.00 0.68 2.66 2.99 3.19 3.45 3.49 3.64 3.75 3.390610014 Ohio Hamilton 16.69 16.93 0.00 0.69 0.83 0.84 0.84 0.84 0.84 0.00 0.69 2.70 3.04 3.25 3.51 3.55 3.70 3.81 3.261630033 Michigan Wayne 16.57 17.19 0.00 0.49 0.62 0.62 0.62 0.62 0.63 0.00 0.49 1.38 1.57 1.70 1.95 1.99 2.08 2.12 2.171191007 Illinois Madison 16.56 16.85 0.00 0.98 1.03 1.03 1.03 1.04 1.05 0.00 0.98 2.13 2.37 2.49 2.57 2.61 2.65 2.68 2.390610042 Ohio Hamilton 16.33 16.71 0.00 0.67 0.82 0.82 0.82 0.82 0.82 0.00 0.67 2.73 3.06 3.26 3.52 3.57 3.71 3.82 3.390350038 Ohio Cuyahoga 16.26 16.95 0.00 0.62 0.76 0.76 0.76 0.76 0.76 0.00 0.62 1.93 2.27 2.43 2.71 2.75 2.92 3.02 3.390350060 Ohio Cuyahoga 16.02 16.54 0.00 0.61 0.75 0.75 0.75 0.75 0.76 0.00 0.61 1.92 2.25 2.41 2.69 2.73 2.90 3.00 3.131210039 Georgia Fulton 16.01 16.04 0.00 1.40 1.41 1.41 1.41 1.41 1.41 0.00 1.40 2.13 2.38 2.46 2.56 2.58 2.63 2.67 2.010732003 Alabama Jefferson 15.99 16.35 0.00 0.59 0.60 0.60 0.60 0.60 0.60 0.00 0.59 1.22 1.55 1.74 2.07 2.10 2.14 2.16 2.180190006 Indiana Clark 15.96 16.16 0.00 0.63 0.77 0.78 0.78 0.78 0.78 0.00 0.63 2.97 3.30 3.54 3.71 3.76 3.86 3.94 4.180970081 Indiana Marion 15.93 16.24 0.00 0.64 0.81 0.81 0.81 0.81 0.82 0.00 0.64 2.73 3.05 3.35 3.50 3.57 3.65 3.73 3.180970083 Indiana Marion 15.77 16.15 0.00 0.65 0.81 0.81 0.81 0.81 0.82 0.00 0.65 2.74 3.05 3.36 3.50 3.57 3.65 3.74 3.390617001 Ohio Hamilton 15.65 16.03 0.00 0.69 0.83 0.83 0.83 0.83 0.84 0.00 0.69 2.69 3.03 3.24 3.50 3.54 3.69 3.80 3.171630010 Illinois Saint Clair 15.48 15.63 0.00 0.95 1.00 1.00 1.00 1.01 1.02 0.00 0.95 2.08 2.32 2.43 2.51 2.55 2.59 2.61 2.390350045 Ohio Cuyahoga 15.42 15.91 0.00 0.62 0.76 0.76 0.76 0.77 0.77 0.00 0.62 1.96 2.31 2.46 2.75 2.79 2.96 3.07 3.130210007 Georgia Bibb 15.33 15.61 0.00 1.07 1.07 1.07 1.07 1.07 1.07 0.00 1.07 1.71 1.95 2.03 2.15 2.18 2.23 2.27 2.540391005 West Virginia Kanawha 15.28 15.34 0.00 0.61 0.65 0.65 0.65 0.65 0.65 0.00 0.61 2.51 2.92 3.09 3.28 3.32 3.47 3.55 3.390170016 Ohio Butler 15.25 15.61 0.00 0.65 0.80 0.80 0.80 0.80 0.80 0.00 0.65 2.58 2.91 3.10 3.33 3.38 3.51 3.61 3.421330008 Pennsylvania York 15.25 15.93 0.00 0.39 0.54 0.54 0.54 0.55 0.55 0.00 0.39 1.23 2.02 2.17 2.35 2.40 2.62 2.68 2.540110006 West Virginia Cabell 15.25 15.5 0.00 0.61 0.66 0.66 0.66 0.66 0.66 0.00 0.61 2.56 2.92 3.09 3.27 3.31 3.44 3.52 3.420070014 Pennsylvania Beaver 15.23 15.3 0.00 0.48 0.55 0.55 0.55 0.55 0.55 0.00 0.48 1.78 2.36 2.51 2.73 2.77 2.97 3.05 3.211110043 Kentucky Jefferson 15.19 15.41 0.00 0.59 0.70 0.70 0.70 0.70 0.70 0.00 0.59 3.07 3.40 3.65 3.82 3.87 3.96 4.05 4.420710007 Pennsylvania Lancaster 15.18 16.01 0.00 0.38 0.56 0.56 0.56 0.56 0.57 0.00 0.38 1.16 1.96 2.11 2.29 2.33 2.56 2.62 2.180970078 Indiana Marion 15.18 15.35 0.00 0.64 0.81 0.81 0.81 0.81 0.82 0.00 0.64 2.74 3.05 3.36 3.50 3.57 3.65 3.74 3.170310052 Illinois Cook 15.16 15.42 0.00 0.92 1.05 1.05 1.05 1.06 1.06 0.00 0.92 1.52 1.68 1.78 1.86 1.90 1.94 1.96 2.420031301 Pennsylvania Allegheny 15.13 15.42 0.00 0.49 0.58 0.58 0.58 0.58 0.58 0.00 0.49 1.92 2.70 2.87 3.10 3.14 3.39 3.47 3.130630091 Georgia Clayton 15.07 15.29 0.00 1.26 1.27 1.27 1.27 1.27 1.27 0.00 1.26 2.01 2.27 2.35 2.47 2.50 2.55 2.59 2.180372001 Indiana Dubois 15.07 15.57 0.00 0.78 0.94 0.94 0.94 0.95 0.95 0.00 0.78 3.26 3.62 3.90 4.06 4.13 4.22 4.30 4.261630015 Michigan Wayne 15.05 15.55 0.00 0.48 0.60 0.60 0.60 0.60 0.61 0.00 0.48 1.34 1.53 1.65 1.89 1.92 2.01 2.06 2.390610043 Ohio Hamilton 15.05 15.32 0.00 0.65 0.80 0.80 0.80 0.80 0.80 0.00 0.65 2.54 2.86 3.05 3.29 3.33 3.47 3.57 3.
70 

390610040 Ohio Hamilton 15.03 15.4 0.00 0.70 0.84 0.84 0.85 0.85 0.85 0.00 0.70 2.73 3.07 3.28 3.54 3.59 3.74 3.85 3.391130032 Ohio Montgomery 15.01 15.37 0.00 0.62 0.75 0.75 0.75 0.76 0.76 0.00 0.62 2.29 2.58 2.76 2.97 3.01 3.13 3.22 3.391510017 Ohio Stark 14.99 15.4 0.00 0.61 0.74 0.74 0.74 0.74 0.75 0.00 0.61 2.12 2.52 2.68 2.94 2.98 3.14 3.24 3.360610056 New York New York 14.98 15.74 0.00 0.23 0.27 0.27 0.27 0.27 0.27 0.00 0.23 0.53 0.82 0.88 1.01 1.04 1.13 1.23 1.390350065 Ohio Cuyahoga 14.96 15.4 0.00 0.61 0.75 0.75 0.75 0.75 0.76 0.00 0.61 1.93 2.27 2.42 2.70 2.74 2.91 3.02 3.540030003 West Virginia Berkeley 14.95 15.2 0.00 0.44 0.51 0.51 0.51 0.51 0.51 0.00 0.44 1.49 2.01 2.16 2.31 2.35 2.51 2.57 2.540490006 West Virginia Marion 14.96 15.18 0.00 0.68 0.73 0.73 0.73 0.73 0.74 0.00 0.68 2.78 3.32 3.49 3.68 3.72 3.90 3.99 4.390811001 Ohio Jefferson 14.95 15.54 0.00 0.62 0.69 0.69 0.69 0.69 0.69 0.00 0.62 2.27 2.78 2.94 3.21 3.25 3.45 3.55 3.540090005 West Virginia Brooke 14.95 15.22 0.00 0.60 0.67 0.67 0.67 0.67 0.67 0.00 0.60 2.22 2.71 2.88 3.13 3.17 3.37 3.47 3.211110044 Kentucky Jefferson 14.93 15.09 0.00 0.60 0.73 0.73 0.73 0.73 0.73 0.00 0.60 3.00 3.32 3.55 3.71 3.76 3.85 3.94 4.170316005 Illinois Cook 14.92 15.48 0.00 1.02 1.15 1.15 1.15 1.16 1.16 0.00 1.02 1.64 1.80 1.90 1.98 2.02 2.06 2.08 2.482011035 Texas Harris 14.74 15.14 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.00 0.01 0.09 0.10 0.12 0.12 0.22 0.22 0.22 0.170313301 Illinois Cook 14.73 15.06 0.00 1.02 1.12 1.12 1.12 1.12 1.12 0.00 1.02 1.66 1.83 1.93 2.01 2.05 2.09 2.12 2.390350027 Ohio Cuyahoga 14.5 15.13 0.00 0.61 0.75 0.75 0.75 0.75 0.76 0.00 0.61 1.91 2.25 2.41 2.69 2.73 2.89 3.00 3.540291004 West Virginia Hancock 14.34 15.15 0.00 0.58 0.65 0.65 0.65 0.65 0.65 0.00 0.58 2.16 2.67 2.83 3.07 3.11 3.31 3.40 3.

*To calculate a total reduction when both NOx and SO2 have non-zero marginal costs, add the two values and then subtract the 2014 base case value. For example, for A

$500/ton SO2 and $1000/ton NOx, add 3.09 and 0.55 for a total of 3.64, then subtract the base case value of 0.47. The resulting total reduction in concentration is 3.17 g
71 

Table 3-2. Total* Annual Average Reductions In Nitrate And Sulfate Concentration (g/m3) at Downwind State Containing the Receptor as a Function of EGU NOx and SO2 Emissions Reductions at Various Margof Reduction in 2014 (Estimated Using AQAT). 

Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 

SO2

Margin

al Cost 

per 

Ton 

$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 

NOx

Margin

al Cost 

per 

Ton 

$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 

Monitor 

Identificat

ion 

Number

Receptor State

Receptor County

2012 

Avg. 

Design 

Value

2012 

Max. 

Design 

Value

420030064 Pennsylvania Allegheny 18.9 19.31 0.00 0.01 0.04 0.04 0.04 0.04 0.05 0.00 0.01 0.28 1.00 1.08 1.16 1.19 1.38 1.40 1.44 010730023 Alabama Jefferson 17.15 17.32 0.00 0.12 0.14 0.14 0.14 0.14 0.14 0.00 0.12 0.23 0.59 0.78 1.17 1.21 1.24 1.25 1.25 390618001 Ohio Hamilton 16.93 17.27 0.00 0.23 0.28 0.28 0.28 0.28 0.28 0.00 0.23 0.73 0.79 0.86 1.05 1.07 1.16 1.24 1.29 390610014 Ohio Hamilton 16.69 16.93 0.00 0.23 0.28 0.28 0.28 0.28 0.29 0.00 0.23 0.74 0.80 0.86 1.06 1.08 1.17 1.25 1.30 261630033 Michigan Wayne 16.57 17.19 0.00 0.10 0.14 0.14 0.14 0.14 0.14 0.00 0.10 0.21 0.22 0.26 0.41 0.42 0.44 0.44 0.45 171191007 Illinois Madison 16.56 16.85 0.00 0.92 0.94 0.94 0.94 0.94 0.94 0.00 0.92 0.95 0.98 0.98 0.98 0.98 0.98 0.98 0.99 390610042 Ohio Hamilton 16.33 16.71 0.00 0.23 0.27 0.27 0.27 0.27 0.27 0.00 0.23 0.73 0.78 0.85 1.04 1.06 1.15 1.23 1.28 390350038 Ohio Cuyahoga 16.26 16.95 0.00 0.25 0.32 0.32 0.32 0.32 0.32 0.00 0.25 0.77 0.83 0.90 1.11 1.12 1.22 1.30 1.36 390350060 Ohio Cuyahoga 16.02 16.54 0.00 0.25 0.32 0.32 0.32 0.32 0.32 0.00 0.25 0.77 0.83 0.90 1.11 1.12 1.22 1.30 1.35 131210039 Georgia Fulton 16.01 16.04 0.00 1.24 1.24 1.25 1.25 1.24 1.25 0.00 1.24 1.27 1.36 1.36 1.37 1.37 1.38 1.39 1.43 010732003 Alabama Jefferson 15.99 16.35 0.00 0.09 0.10 0.10 0.10 0.10 0.10 0.00 0.09 0.17 0.45 0.59 0.89 0.92 0.94 0.94 0.95 180190006 Indiana Clark 15.96 16.16 0.00 0.06 0.11 0.11 0.11 0.11 0.11 0.00 0.06 0.60 0.68 0.81 0.83 0.85 0.86 0.88 0.92 180970081 Indiana Marion 15.93 16.24 0.00 0.11 0.21 0.21 0.21 0.21 0.21 0.00 0.11 1.08 1.22 1.46 1.48 1.53 1.53 1.57 1.64 180970083 Indiana Marion 15.77 16.15 0.00 0.11 0.21 0.21 0.21 0.21 0.21 0.00 0.11 1.08 1.22 1.46 1.48 1.53 1.54 1.57 1.64 390617001 Ohio Hamilton 15.65 16.03 0.00 0.23 0.28 0.28 0.28 0.28 0.28 0.00 0.23 0.74 0.79 0.86 1.06 1.08 1.17 1.24 1.30 171630010 Illinois Saint Clair 15.48 15.63 0.00 0.89 0.91 0.91 0.91 0.91 0.91 0.00 0.89 0.92 0.95 0.95 0.95 0.95 0.95 0.95 0.96 390350045 Ohio Cuyahoga 15.42 15.91 0.00 0.25 0.32 0.32 0.32 0.32 0.33 0.00 0.25 0.78 0.84 0.91 1.12 1.13 1.23 1.31 1.37 130210007 Georgia Bibb 15.33 15.61 0.00 0.91 0.91 0.91 0.91 0.91 0.91 0.00 0.91 0.93 1.00 1.00 1.01 1.01 1.01 1.02 1.05 540391005 West Virginia Kanawha 15.28 15.34 0.00 0.18 0.20 0.20 0.20 0.20 0.20 0.00 0.18 0.80 0.81 0.82 0.83 0.83 0.83 0.84 0.83 390170016 Ohio Butler 15.25 15.61 0.00 0.20 0.25 0.25 0.25 0.25 0.25 0.00 0.20 0.62 0.67 0.72 0.89 0.90 0.98 1.05 1.09 421330008 Pennsylvania York 15.25 15.93 0.00 0.03 0.16 0.16 0.16 0.16 0.16 0.00 0.03 0.32 1.04 1.11 1.20 1.23 1.43 1.44 1.49 540110006 West Virginia Cabell 15.25 15.5 0.00 0.17 0.18 0.18 0.18 0.18 0.18 0.00 0.17 0.74 0.75 0.76 0.77 0.77 0.77 0.78 0.77 420070014 Pennsylvania Beaver 15.23 15.3 0.00 0.00 0.03 0.03 0.03 0.03 0.03 0.00 0.00 0.20 0.70 0.75 0.81 0.83 0.96 0.98 1.01 211110043 Kentucky Jefferson 15.19 15.41 0.00 

-

0.02 0.03 0.03 0.03 0.03 0.03 0.00 

-

0.02 0.94 0.95 0.98 0.99 1.00 1.01 1.03 1.10 

420710007 Pennsylvania Lancaster 15.18 16.01 0.00 0.04 0.19 0.19 0.19 0.19 0.19 0.00 0.04 0.33 1.07 1.15 1.24 1.27 1.47 1.49 1.53 180970078 Indiana Marion 15.18 15.35 0.00 0.11 0.21 0.21 0.21 0.21 0.21 0.00 0.11 1.08 1.22 1.46 1.48 1.53 1.54 1.57 1.64 170310052 Illinois Cook 15.16 15.42 0.00 0.78 0.81 0.81 0.81 0.81 0.81 0.00 0.78 0.80 0.82 0.83 0.82 0.82 0.82 0.82 0.83 420031301 Pennsylvania Allegheny 15.13 15.42 0.00 0.01 0.05 0.05 0.05 0.05 0.05 0.00 0.01 0.28 0.98 1.06 1.15 1.17 1.36 1.38 1.42 130630091 Georgia Clayton 15.07 15.29 0.00 1.09 1.09 1.09 1.09 1.09 1.09 0.00 1.09 1.11 1.19 1.19 1.20 1.20 1.21 1.21 1.25 180372001 Indiana Dubois 15.07 15.57 0.00 0.09 0.17 0.17 0.17 0.17 0.17 0.00 0.09 0.81 0.91 1.09 1.11 1.14 1.15 1.18 1.23 261630015 Michigan Wayne 15.05 15.55 0.00 0.10 0.14 0.14 0.14 0.14 0.14 0.00 0.10 0.21 0.21 0.25 0.40 0.41 0.42 0.42 0.43 390610043 Ohio Hamilton 15.05 15.32 0.00 0.21 0.26 0.26 0.26 0.26 0.26 0.00 0.21 0.65 0.70 0.76 0.94 0.95 1.04 1.10 1.15 390610040 Ohio Hamilton 15.03 15.4 0.00 0.24 0.28 0.28 0.28 0.28 0.29 0.00 0.24 0.74 0.80 0.87 1.07 1.09 1.18 1.26 1.31 391130032 Ohio Montgomery 15.01 15.37 0.00 0.19 0.24 0.24 0.24 0.24 0.24 0.00 0.19 0.57 0.62 0.67 0.82 0.83 0.90 0.96 1.00 391510017 Ohio Stark 14.99 15.4 0.00 0.21 0.27 0.27 0.28 0.28 0.28 0.00 0.21 0.65 0.70 0.76 0.93 0.95 1.03 1.09 1.14 360610056 New York New York 14.98 15.74 0.00 0.06 0.06 0.06 0.06 0.06 0.06 0.00 0.06 0.06 0.06 0.06 0.10 0.11 0.13 0.21 0.22 390350065 Ohio Cuyahoga 14.96 15.4 0.00 0.25 0.32 0.32 0.32 0.32 0.32 0.00 0.25 0.77 0.83 0.90 1.11 1.12 1.22 1.30 1.36 
72 

540030003 West Virginia Berkeley 14.95 15.2 0.00 0.13 0.15 0.15 0.15 0.15 0.15 0.00 0.13 0.55 0.56 0.57 0.57 0.57 0.57 0.58 0.58 540490006 West Virginia Marion 14.96 15.18 0.00 0.34 0.36 0.36 0.36 0.36 0.36 0.00 0.34 1.49 1.53 1.55 1.55 1.56 1.56 1.58 1.56 390811001 Ohio Jefferson 14.95 15.54 0.00 0.20 0.22 0.22 0.22 0.22 0.22 0.00 0.20 0.65 0.70 0.76 0.94 0.95 1.03 1.10 1.15 540090005 West Virginia Brooke 14.95 15.22 0.00 0.16 0.17 0.17 0.17 0.17 0.17 0.00 0.16 0.70 0.71 0.72 0.73 0.73 0.73 0.74 0.73 211110044 Kentucky Jefferson 14.93 15.09 0.00 

-

0.02 0.05 0.05 0.05 0.05 0.05 0.00 

-

0.02 0.93 0.94 0.97 0.98 0.98 0.99 1.02 1.09 

170316005 Illinois Cook 14.92 15.48 0.00 0.88 0.92 0.92 0.92 0.92 0.92 0.00 0.88 0.91 0.94 0.94 0.94 0.94 0.94 0.94 0.94 482011035 Texas Harris 14.74 15.14 0.00 

-

0.16 

-

0.16 

-

0.16 -0.16 -0.16 -0.16 0.00 

-

0.16 

-

0.14 

-

0.14 

-

0.14 

-

0.14 

-

0.04 

-

0.04 

-

0.04 -0.04 

170313301 Illinois Cook 14.73 15.06 0.00 0.89 0.92 0.92 0.92 0.92 0.92 0.00 0.89 0.92 0.95 0.95 0.95 0.95 0.95 0.95 0.95 390350027 Ohio Cuyahoga 14.5 15.13 0.00 0.25 0.32 0.32 0.32 0.32 0.32 0.00 0.25 0.77 0.83 0.90 1.11 1.12 1.22 1.30 1.35 540291004 West Virginia Hancock 14.34 15.15 0.00 0.16 0.17 0.17 0.17 0.17 0.17 0.00 0.16 0.68 0.70 0.71 0.71 0.71 0.71 0.72 0.72 

*To calculate a total reduction when both NOx and SO2 have non-zero marginal costs, add the two values and then subtract the 2014 base case value. For example, for A

$500/ton SO2 and $1000/ton NOx, add 1.19 and 0.04 for a total of 1.23, then subtract the base case value of 0.01. The resulting total reduction in concentration is 1.22 g
73 

Table 3-3. Total* Annual Average Reductions In Nitrate And Sulfate Concentration (g/m3) at Downwind States Upwind of the Receptor as a Function of EGU NOx and SO2 Emissions Reductions at Various Marg

of Reduction in 2014 (Estimated Using AQAT). 

Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 20

SO2

Marginal 

Cost per 

Ton 

$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,0

NOx

Marginal 

Cost per 

Ton 

$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 

Avg. 

Design 

Value

2012 

Max. 

Design 

Value

420030064 Pennsylvania Allegheny 18.9 19.31 0.00 0.46 0.50 0.50 0.51 0.51 0.51 0.00 0.46 1.59 1.66 1.75 1.88 1.90 1.96 2.02 2.010730023 Alabama Jefferson 17.15 17.32 0.00 0.48 0.49 0.49 0.49 0.49 0.49 0.00 0.48 1.02 1.08 1.12 1.16 1.17 1.19 1.21 1.390618001 Ohio Hamilton 16.93 17.27 0.00 0.44 0.54 0.54 0.54 0.54 0.54 0.00 0.44 1.92 2.20 2.33 2.39 2.42 2.48 2.51 2.390610014 Ohio Hamilton 16.69 16.93 0.00 0.46 0.55 0.55 0.55 0.56 0.56 0.00 0.46 1.96 2.24 2.38 2.44 2.47 2.53 2.56 2.261630033 Michigan Wayne 16.57 17.19 0.00 0.39 0.48 0.48 0.48 0.48 0.48 0.00 0.39 1.17 1.35 1.44 1.54 1.56 1.64 1.68 1.171191007 Illinois Madison 16.56 16.85 0.00 0.06 0.09 0.10 0.10 0.10 0.12 0.00 0.06 1.18 1.39 1.50 1.59 1.63 1.67 1.70 1.390610042 Ohio Hamilton 16.33 16.71 0.00 0.44 0.55 0.55 0.55 0.55 0.55 0.00 0.44 2.01 2.27 2.42 2.48 2.51 2.56 2.59 2.390350038 Ohio Cuyahoga 16.26 16.95 0.00 0.37 0.44 0.44 0.44 0.44 0.44 0.00 0.37 1.16 1.44 1.53 1.60 1.63 1.70 1.73 1.390350060 Ohio Cuyahoga 16.02 16.54 0.00 0.36 0.43 0.43 0.43 0.43 0.43 0.00 0.36 1.14 1.42 1.51 1.58 1.60 1.68 1.70 1.131210039 Georgia Fulton 16.01 16.04 0.00 0.16 0.16 0.16 0.16 0.16 0.16 0.00 0.16 0.86 1.02 1.10 1.19 1.21 1.25 1.28 1.010732003 Alabama Jefferson 15.99 16.35 0.00 0.50 0.50 0.50 0.50 0.50 0.50 0.00 0.50 1.04 1.11 1.15 1.18 1.19 1.20 1.22 1.180190006 Indiana Clark 15.96 16.16 0.00 0.57 0.66 0.67 0.67 0.67 0.67 0.00 0.57 2.37 2.62 2.72 2.88 2.91 3.00 3.06 3.180970081 Indiana Marion 15.93 16.24 0.00 0.53 0.60 0.60 0.60 0.60 0.61 0.00 0.53 1.65 1.83 1.90 2.02 2.04 2.11 2.16 2.180970083 Indiana Marion 15.77 16.15 0.00 0.53 0.60 0.60 0.60 0.60 0.61 0.00 0.53 1.66 1.83 1.90 2.02 2.05 2.12 2.16 2.390617001 Ohio Hamilton 15.65 16.03 0.00 0.45 0.55 0.55 0.55 0.55 0.55 0.00 0.45 1.96 2.24 2.38 2.44 2.47 2.52 2.56 2.171630010 Illinois Saint Clair 15.48 15.63 0.00 0.06 0.09 0.09 0.09 0.10 0.11 0.00 0.06 1.16 1.36 1.47 1.56 1.60 1.63 1.66 1.390350045 Ohio Cuyahoga 15.42 15.91 0.00 0.37 0.44 0.44 0.44 0.44 0.45 0.00 0.37 1.18 1.47 1.56 1.63 1.66 1.73 1.76 1.130210007 Georgia Bibb 15.33 15.61 0.00 0.15 0.15 0.15 0.15 0.15 0.15 0.00 0.15 0.77 0.95 1.03 1.14 1.17 1.22 1.25 1.540391005 West Virginia Kanawha 15.28 15.34 0.00 0.43 0.45 0.45 0.45 0.45 0.45 0.00 0.43 1.72 2.11 2.27 2.46 2.49 2.64 2.71 2.390170016 Ohio Butler 15.25 15.61 0.00 0.45 0.55 0.55 0.55 0.55 0.55 0.00 0.45 1.96 2.24 2.38 2.44 2.47 2.53 2.56 2.421330008 Pennsylvania York 15.25 15.93 0.00 0.36 0.39 0.39 0.39 0.39 0.39 0.00 0.36 0.92 0.98 1.06 1.15 1.16 1.20 1.24 1.540110006 West Virginia Cabell 15.25 15.5 0.00 0.44 0.48 0.48 0.48 0.48 0.48 0.00 0.44 1.82 2.17 2.32 2.50 2.54 2.67 2.74 2.
74 

420070014 Pennsylvania Beaver 15.23 15.3 0.00 0.48 0.52 0.52 0.52 0.52 0.53 0.00 0.48 1.59 1.67 1.76 1.92 1.94 2.00 2.07 2.211110043 Kentucky Jefferson 15.19 15.41 0.00 0.61 0.67 0.67 0.67 0.67 0.67 0.00 0.61 2.14 2.45 2.67 2.82 2.87 2.96 3.02 3.420710007 Pennsylvania Lancaster 15.18 16.01 0.00 0.34 0.38 0.38 0.38 0.38 0.38 0.00 0.34 0.82 0.89 0.96 1.05 1.06 1.09 1.13 1.180970078 Indiana Marion 15.18 15.35 0.00 0.53 0.60 0.60 0.60 0.60 0.61 0.00 0.53 1.66 1.83 1.90 2.02 2.05 2.12 2.16 2.170310052 Illinois Cook 15.16 15.42 0.00 0.14 0.24 0.24 0.24 0.24 0.25 0.00 0.14 0.72 0.86 0.95 1.03 1.07 1.11 1.14 1.420031301 Pennsylvania Allegheny 15.13 15.42 0.00 0.48 0.53 0.53 0.53 0.53 0.53 0.00 0.48 1.64 1.72 1.81 1.95 1.97 2.03 2.10 2.130630091 Georgia Clayton 15.07 15.29 0.00 0.17 0.18 0.18 0.18 0.18 0.18 0.00 0.17 0.90 1.07 1.16 1.27 1.30 1.34 1.38 1.180372001 Indiana Dubois 15.07 15.57 0.00 0.69 0.77 0.77 0.77 0.78 0.78 0.00 0.69 2.45 2.71 2.81 2.95 2.99 3.07 3.12 3.261630015 Michigan Wayne 15.05 15.55 0.00 0.38 0.47 0.47 0.47 0.47 0.47 0.00 0.38 1.13 1.31 1.40 1.49 1.52 1.59 1.63 1.390610043 Ohio Hamilton 15.05 15.32 0.00 0.44 0.54 0.54 0.54 0.54 0.54 0.00 0.44 1.88 2.15 2.29 2.35 2.38 2.43 2.46 2.390610040 Ohio Hamilton 15.03 15.4 0.00 0.46 0.56 0.56 0.56 0.56 0.56 0.00 0.46 1.99 2.27 2.41 2.47 2.50 2.56 2.60 2.391130032 Ohio Montgomery 15.01 15.37 0.00 0.43 0.52 0.52 0.52 0.52 0.52 0.00 0.43 1.72 1.97 2.09 2.15 2.18 2.23 2.26 2.391510017 Ohio Stark 14.99 15.4 0.00 0.40 0.46 0.46 0.46 0.46 0.46 0.00 0.40 1.47 1.82 1.92 2.00 2.03 2.11 2.14 2.360610056 New York New York 14.98 15.74 0.00 0.18 0.21 0.21 0.21 0.21 0.21 0.00 0.18 0.47 0.76 0.82 0.92 0.93 1.00 1.02 1.390350065 Ohio Cuyahoga 14.96 15.4 0.00 0.36 0.43 0.43 0.43 0.43 0.43 0.00 0.36 1.15 1.43 1.52 1.60 1.62 1.69 1.72 1.540030003 West Virginia Berkeley 14.95 15.2 0.00 0.31 0.36 0.36 0.36 0.36 0.36 0.00 0.31 0.94 1.45 1.59 1.74 1.77 1.94 1.99 2.540490006 West Virginia Marion 14.96 15.18 0.00 0.34 0.38 0.38 0.38 0.38 0.38 0.00 0.34 1.29 1.79 1.94 2.13 2.16 2.34 2.41 2.390811001 Ohio Jefferson 14.95 15.54 0.00 0.42 0.47 0.47 0.47 0.47 0.47 0.00 0.42 1.62 2.08 2.19 2.27 2.30 2.42 2.45 2.540090005 West Virginia Brooke 14.95 15.22 0.00 0.44 0.50 0.50 0.50 0.50 0.50 0.00 0.44 1.52 2.00 2.15 2.41 2.45 2.64 2.73 2.211110044 Kentucky Jefferson 14.93 15.09 0.00 0.62 0.69 0.69 0.69 0.69 0.69 0.00 0.62 2.07 2.38 2.57 2.73 2.78 2.86 2.92 2.170316005 Illinois Cook 14.92 15.48 0.00 0.14 0.23 0.23 0.24 0.24 0.24 0.00 0.14 0.73 0.86 0.96 1.04 1.08 1.12 1.15 1.482011035 Texas Harris 14.74 15.14 0.00 0.17 0.17 0.17 0.17 0.17 0.17 0.00 0.17 0.23 0.24 0.26 0.26 0.26 0.26 0.26 0.170313301 Illinois Cook 14.73 15.06 0.00 0.13 0.20 0.20 0.20 0.20 0.20 0.00 0.13 0.74 0.88 0.98 1.06 1.10 1.14 1.17 1.390350027 Ohio Cuyahoga 14.5 15.13 0.00 0.36 0.43 0.43 0.43 0.43 0.43 0.00 0.36 1.14 1.42 1.51 1.58 1.60 1.67 1.70 1.540291004 West Virginia Hancock 14.34 15.15 0.00 0.43 0.48 0.48 0.48 0.48 0.48 0.00 0.43 1.48 1.98 2.12 2.36 2.40 2.59 2.68 2.

*To calculate a total reduction when both NOx and SO2 have non-zero marginal costs, add the two values and then subtract the 2014 base case value. 
75 

Table 3-4. Total* Average Daily Reductions in Nitrate and Sulfate Concentration (g/m3) at Downwind MStates as a Function of EGU NOx and SO2 Emissions Reductions at Various Marginal Costs per Ton of Re

(Estimated Using AQAT). 

Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 

SO2

Marginal 

Cost per 

Ton 

$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 

NOx

Marginal 

Cost per 

Ton 

$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 

Avg. 

Design 

Value

2012 

Max. 

Design 

Value

420030064 Pennsylvania Allegheny 58.8 62.3 0.00 1.02 1.21 1.21 1.21 1.21 1.22 0.00 1.02 4.18 5.82 6.20 6.74 6.84 7.39 7.58 7.79 261630033 Michigan Wayne 42.1 42.6 0.00 1.65 2.03 2.03 2.03 2.03 2.04 0.00 1.65 5.77 6.51 7.00 7.76 7.88 8.19 8.39 8.64 390350038 Ohio Cuyahoga 41.2 44 0.00 1.82 1.97 1.97 1.97 1.97 1.98 0.00 1.82 7.23 8.78 9.39 10.47 10.62 11.34 11.74 12.11 420030093 Pennsylvania Allegheny 41.1 46.2 0.00 1.35 1.35 1.35 1.35 1.35 1.35 0.00 1.35 6.12 7.92 8.38 9.03 9.15 9.76 10.00 10.26 170311016 Illinois Cook 41 44.1 0.00 2.89 3.33 3.34 3.34 3.34 3.35 0.00 2.89 5.42 6.12 6.49 6.80 6.90 7.10 7.22 7.38 261630016 Michigan Wayne 40.6 43 0.00 1.46 2.04 2.04 2.04 2.05 2.06 0.00 1.46 3.93 4.61 4.99 5.66 5.76 6.06 6.22 6.40 180970043 Indiana Marion 40.5 42 0.00 1.82 1.82 1.82 1.82 1.82 1.82 0.00 1.82 11.65 12.80 13.98 14.48 14.72 15.01 15.36 15.95 390170003 Ohio Butler 40.3 42.3 0.00 2.16 2.16 2.16 2.16 2.16 2.16 0.00 2.16 13.48 14.66 15.63 16.49 16.68 17.17 17.63 18.29 180970066 Indiana Marion 40.3 41.8 0.00 1.89 1.89 1.89 1.89 1.89 1.89 0.00 1.89 11.68 12.83 14.06 14.58 14.83 15.13 15.50 16.10 420210011 Pennsylvania Cambria 40.3 40.7 0.00 1.18 1.18 1.18 1.18 1.18 1.18 0.00 1.18 6.56 11.41 12.25 13.39 13.64 15.10 15.43 15.89 180970081 Indiana Marion 40.1 41.1 0.00 1.63 1.63 1.63 1.63 1.63 1.63 0.00 1.63 11.16 12.25 13.34 13.80 14.01 14.29 14.61 15.15 010730023 Alabama Jefferson 40 40.7 0.00 1.26 1.30 1.30 1.30 1.30 1.30 0.00 1.26 3.59 4.75 5.32 6.31 6.43 6.60 6.69 6.81 171191007 Illinois Madison 40 40.6 0.00 2.95 3.23 3.24 3.24 3.26 3.28 0.00 2.95 6.97 7.84 8.22 8.54 8.67 8.84 8.96 9.14 540090011 

West Virginia Brooke 39.9 40.8 0.00 1.41 1.93 1.93 1.93 1.94 1.96 0.00 1.41 4.30 5.38 5.74 6.35 6.44 6.88 7.09 7.29 

390618001 Ohio Hamilton 39.6 40.3 0.00 1.60 1.78 1.79 1.79 1.79 1.79 0.00 1.60 8.66 9.68 10.32 11.06 11.20 11.63 11.95 12.38 390350060 Ohio Cuyahoga 39.4 42.8 0.00 1.60 2.06 2.07 2.07 2.07 2.09 0.00 1.60 5.29 6.31 6.76 7.69 7.80 8.36 8.70 8.99 171190023 Illinois Madison 39.4 40.2 0.00 4.26 4.26 4.26 4.26 4.26 4.26 0.00 4.26 9.90 10.89 11.39 11.69 11.87 12.00 12.14 12.38 180970083 Indiana Marion 39 39.3 0.00 1.86 1.86 1.86 1.86 1.86 1.86 0.00 1.86 12.07 13.25 14.49 15.01 15.25 15.56 15.92 16.53 550790043 Wisconsin Milwaukee 38.8 39.7 0.00 3.12 3.42 3.43 3.44 3.44 3.46 0.00 3.12 6.28 7.04 7.50 7.86 8.09 8.30 8.46 8.68 180970078 Indiana Marion 38.7 39.7 0.00 1.81 1.81 1.81 1.81 1.81 1.81 0.00 1.81 11.60 12.74 13.91 14.41 14.65 14.94 15.29 15.87 261630019 Michigan Wayne 38.6 39.1 0.00 1.29 1.75 1.75 1.76 1.76 1.77 0.00 1.29 3.56 4.16 4.51 5.02 5.10 5.36 5.51 5.68 170310052 Illinois Cook 38.5 39.7 0.00 3.21 3.65 3.66 3.67 3.68 3.69 0.00 3.21 5.34 5.89 6.20 6.44 6.53 6.67 6.76 6.90 261630015 Michigan Wayne 38.5 39.1 0.00 1.58 1.72 1.72 1.72 1.72 1.72 0.00 1.58 6.54 7.38 7.94 8.79 8.92 9.27 9.49 9.78 390170017 Ohio Butler 38.5 38.5 0.00 1.78 1.78 1.78 1.78 1.78 1.78 0.00 1.78 11.11 12.08 12.87 13.58 13.74 14.15 14.52 15.07 261470005 Michigan St. Clair 38.4 39.4 0.00 1.18 1.42 1.42 1.42 1.42 1.43 0.00 1.18 4.23 5.00 5.35 5.91 5.99 6.31 6.49 6.68 170313301 Illinois Cook 38.2 41 0.00 3.46 3.94 3.95 3.95 3.96 3.97 0.00 3.46 5.86 6.55 6.93 7.23 7.34 7.52 7.63 7.78 340172002 New Jersey Hudson 38.2 38.2 0.00 0.73 0.92 0.92 0.92 0.93 0.93 0.00 0.73 1.37 2.23 2.36 2.72 2.76 2.96 3.16 3.21 180190006 Indiana Clark 38.1 40.2 0.00 1.78 2.01 2.01 2.01 2.01 2.01 0.00 1.78 9.61 10.40 11.11 11.40 11.54 11.73 11.97 12.43 261610008 Michigan Washtenaw 38.1 39.8 0.00 1.61 2.03 2.04 2.04 2.04 2.05 0.00 1.61 5.97 6.78 7.25 7.87 7.98 8.30 8.51 8.77 010732003 Alabama Jefferson 38.1 38.9 0.00 0.94 0.96 0.96 0.96 0.96 0.96 0.00 0.94 2.87 3.63 4.02 4.66 4.75 4.86 4.93 5.03 
76 

170313103 Illinois Cook 38.1 38.7 0.00 3.33 3.99 4.00 4.01 4.02 4.03 0.00 3.33 4.78 5.17 5.41 5.59 5.67 5.75 5.81 5.91 420031008 Pennsylvania Allegheny 38 39.3 0.00 1.43 1.43 1.43 1.43 1.43 1.43 0.00 1.43 6.63 8.98 9.56 10.40 10.55 11.35 11.65 11.98 390610006 Ohio Hamilton 38 38 0.00 1.84 1.84 1.84 1.84 1.84 1.84 0.00 1.84 11.25 12.37 13.20 13.97 14.15 14.58 14.95 15.51 261250001 Michigan Oakland 37.9 38.4 0.00 1.62 1.88 1.88 1.88 1.88 1.89 0.00 1.62 6.37 7.33 7.86 8.62 8.75 9.14 9.38 9.66 390171004 Ohio Butler 37.8 38.6 0.00 1.75 1.75 1.75 1.75 1.75 1.75 0.00 1.75 10.94 11.91 12.70 13.43 13.59 14.01 14.39 14.94 420710007 Pennsylvania Lancaster 37.7 40.1 0.00 0.97 1.78 1.79 1.79 1.79 1.80 0.00 0.97 1.89 3.59 3.83 4.09 4.16 4.63 4.70 4.81 420070014 Pennsylvania Beaver 37.7 39.1 0.00 1.33 1.47 1.47 1.47 1.47 1.48 0.00 1.33 5.22 6.74 7.18 7.86 7.97 8.53 8.77 9.02 550790010 Wisconsin Milwaukee 37.7 39 0.00 2.67 3.61 3.63 3.65 3.68 3.72 0.00 2.67 3.83 4.11 4.34 4.49 4.65 4.69 4.75 4.83 390617001 Ohio Hamilton 37.7 38.1 0.00 1.77 1.77 1.77 1.77 1.77 1.77 0.00 1.77 10.53 11.72 12.47 13.26 13.42 13.90 14.27 14.78 390610014 Ohio Hamilton 37.5 38.5 0.00 1.64 1.64 1.64 1.64 1.64 1.64 0.00 1.64 9.94 11.08 11.81 12.65 12.80 13.28 13.64 14.14 390170016 Ohio Butler 37.5 37.8 0.00 1.77 1.77 1.77 1.77 1.77 1.77 0.00 1.77 10.85 11.95 12.74 13.37 13.53 13.93 14.27 14.79 170316005 Illinois Cook 37.4 39.8 0.00 3.26 3.80 3.81 3.81 3.82 3.84 0.00 3.26 5.13 5.63 5.91 6.13 6.21 6.33 6.41 6.53 180890022 Indiana Lake 37.3 42.1 0.00 2.03 2.52 2.53 2.53 2.54 2.55 0.00 2.03 4.03 4.38 4.84 4.98 5.09 5.13 5.21 5.34 180970079 Indiana Marion 37.2 38.3 0.00 1.93 1.93 1.93 1.93 1.93 1.93 0.00 1.93 11.47 12.59 13.71 14.27 14.50 14.82 15.18 15.77 171192009 Illinois Madison 37.2 38.2 0.00 3.86 3.89 3.89 3.89 3.89 3.90 0.00 3.86 9.14 10.17 10.65 10.96 11.12 11.28 11.42 11.65 390610042 Ohio Hamilton 37.2 38 0.00 1.62 1.62 1.62 1.62 1.62 1.62 0.00 1.62 9.61 10.51 11.20 11.98 12.12 12.56 12.93 13.42 360610056 New York New York 37.1 38 0.00 0.94 1.17 1.18 1.18 1.18 1.19 0.00 0.94 1.65 2.27 2.42 2.70 2.76 2.98 3.24 3.30 420030116 Pennsylvania Allegheny 37.1 37.1 0.00 1.28 1.28 1.28 1.28 1.28 1.28 0.00 1.28 6.00 7.94 8.42 9.08 9.21 9.85 10.09 10.35 261150005 Michigan Monroe 37 38 0.00 1.68 1.82 1.83 1.83 1.83 1.83 0.00 1.68 7.66 8.73 9.35 10.15 10.30 10.72 11.00 11.36 210590005 Kentucky Daviess 37 37 0.00 1.94 1.94 1.94 1.94 1.94 1.94 0.00 1.94 13.15 13.96 15.07 15.35 15.55 15.70 16.02 16.75 550790099 Wisconsin Milwaukee 36.8 37.7 0.00 2.77 3.45 3.47 3.48 3.50 3.53 0.00 2.77 4.56 5.06 5.38 5.62 5.80 5.92 6.01 6.14 191630019 Iowa Scott 36.8 36.8 0.00 2.88 2.88 2.88 2.88 2.88 2.88 0.00 2.88 8.79 10.20 10.86 11.47 11.72 12.09 12.32 12.64 340390004 New Jersey Union 36.7 37.2 0.00 0.80 0.93 0.93 0.93 0.93 0.94 0.00 0.80 2.46 3.69 3.93 4.32 4.39 4.67 4.82 4.94 420031301 Pennsylvania Allegheny 36.6 38.6 0.00 1.23 1.23 1.23 1.23 1.23 1.23 0.00 1.23 5.65 7.69 8.18 8.90 9.03 9.73 9.97 10.24 471251009 Tennessee Montgomery 36.6 37.9 0.00 2.18 2.35 2.35 2.35 2.35 2.35 0.00 2.18 10.22 11.19 11.71 12.11 12.23 12.48 12.68 13.00 390490024 Ohio Franklin 36.6 37.6 0.00 1.65 2.02 2.02 2.02 2.02 2.04 0.00 1.65 6.94 7.97 8.51 9.25 9.37 9.84 10.15 10.47 390811001 Ohio Jefferson 36.5 39.9 0.00 1.50 1.54 1.54 1.54 1.54 1.54 0.00 1.50 6.08 7.18 7.62 8.36 8.46 8.95 9.23 9.47 390350065 Ohio Cuyahoga 36.5 38.9 0.00 1.61 1.94 1.94 1.94 1.94 1.96 0.00 1.61 5.78 7.02 7.52 8.45 8.57 9.18 9.53 9.84 180372001 Indiana Dubois 36.5 38 0.00 1.92 2.15 2.15 2.15 2.15 2.17 0.00 1.92 10.41 11.27 12.19 12.55 12.73 12.95 13.23 13.75 171193007 Illinois Madison 36.5 37.3 0.00 4.11 4.11 4.11 4.11 4.11 4.11 0.00 4.11 9.93 11.00 11.52 11.84 12.02 12.18 12.32 12.58 295100087 Missouri 

St. Louis City 36.4 36.9 0.00 3.87 3.88 3.88 3.88 3.88 3.88 0.00 3.87 9.33 10.33 10.82 11.14 11.30 11.45 11.59 11.83 

550790026 Wisconsin Milwaukee 36.3 40.1 0.00 2.37 2.98 3.00 3.01 3.03 3.06 0.00 2.37 3.82 4.25 4.52 4.72 4.88 4.98 5.06 5.17 180890026 Indiana Lake 36.3 39.3 0.00 1.95 2.49 2.50 2.50 2.51 2.52 0.00 1.95 4.63 5.27 5.71 6.03 6.15 6.33 6.46 6.63 391130032 Ohio Montgomery 36.3 38.5 0.00 1.92 1.92 1.92 1.92 1.92 1.92 0.00 1.92 11.35 12.50 13.30 14.13 14.30 14.79 15.19 15.74 245100040 Maryland 

Baltimore (City) 36.3 38.3 0.00 0.97 1.15 1.15 1.15 1.15 1.16 0.00 0.97 1.43 1.83 1.94 2.03 2.05 2.17 2.22 2.26 

170310076 Illinois Cook 36.3 37.3 0.00 3.57 3.87 3.87 3.87 3.88 3.88 0.00 3.57 6.53 7.40 7.86 8.25 8.37 8.61 8.75 8.95 180970042 Indiana Marion 36.3 37.2 0.00 1.93 1.93 1.93 1.93 1.93 1.93 0.00 1.93 11.92 13.06 14.25 14.78 15.02 15.31 15.68 16.29 261630036 Michigan Wayne 36.3 36.9 0.00 1.61 2.00 2.01 2.01 2.01 2.02 0.00 1.61 5.50 6.18 6.61 7.21 7.31 7.59 7.78 8.02 360610128 New York New York 36.2 38 0.00 0.97 1.09 1.10 1.10 1.10 1.10 0.00 0.97 3.12 4.46 4.75 5.24 5.33 5.71 5.97 6.11 390490025 Ohio Franklin 36.1 36.4 0.00 1.62 1.94 1.95 1.95 1.95 1.96 0.00 1.62 6.65 7.67 8.20 8.92 9.04 9.50 9.79 10.11 390350045 Ohio Cuyahoga 36 39 0.00 1.67 2.02 2.02 2.02 2.02 2.04 0.00 1.67 6.16 7.34 7.84 8.83 8.95 9.56 9.92 10.24 211110044 Kentucky Jefferson 36 36.5 0.00 1.67 1.67 1.67 1.67 1.67 1.67 0.00 1.67 10.34 11.09 11.89 12.13 12.27 12.43 12.68 13.21 390610043 Ohio Hamilton 36 36.4 0.00 1.84 1.84 1.84 1.84 1.84 1.84 0.00 1.84 11.20 12.21 13.03 13.68 13.85 14.22 14.58 15.11 
77 

295100007 Missouri 

St. Louis City 36 36.3 0.00 3.82 3.82 3.82 3.82 3.82 3.82 0.00 3.82 10.40 11.72 12.28 12.66 12.90 13.07 13.22 13.46 

421330008 Pennsylvania York 35.9 38.8 0.00 1.17 1.85 1.85 1.85 1.85 1.86 0.00 1.17 3.85 6.74 7.21 7.71 7.84 8.65 8.82 9.05 181570008 Indiana Tippecanoe 35.9 36.9 0.00 1.72 1.72 1.72 1.72 1.72 1.72 0.00 1.72 9.08 10.30 11.07 11.58 11.75 12.11 12.39 12.79 180830004 Indiana Knox 35.9 36.5 0.00 1.66 1.86 1.86 1.87 1.87 1.88 0.00 1.66 8.65 9.40 10.26 10.72 10.89 11.13 11.41 11.88 420030008 Pennsylvania Allegheny 35.9 36.3 0.00 0.97 0.97 0.97 0.97 0.97 0.97 0.00 0.97 4.40 6.23 6.61 7.19 7.29 7.90 8.09 8.29 360050080 New York Bronx 35.9 36.2 0.00 0.75 0.91 0.92 0.92 0.92 0.92 0.00 0.75 1.99 2.90 3.11 3.48 3.55 3.82 4.10 4.20 390610040 Ohio Hamilton 35.8 36.8 0.00 1.76 1.76 1.76 1.76 1.76 1.76 0.00 1.76 10.47 11.67 12.42 13.16 13.32 13.80 14.16 14.66 211110043 Kentucky Jefferson 35.8 36.4 0.00 1.71 1.71 1.71 1.71 1.71 1.71 0.00 1.71 10.45 11.24 12.13 12.40 12.57 12.74 13.00 13.55 420430401 Pennsylvania Dauphin 35.7 37.1 0.00 1.07 1.98 1.98 1.99 1.99 2.00 0.00 1.07 2.45 4.31 4.62 4.98 5.06 5.59 5.70 5.83 170310057 Illinois Cook 35.7 37 0.00 3.44 4.07 4.09 4.09 4.10 4.12 0.00 3.44 5.27 5.82 6.10 6.33 6.42 6.56 6.64 6.76 090091123 Connecticut New Haven 35.7 36.6 0.00 0.94 1.03 1.04 1.04 1.04 1.04 0.00 0.94 2.75 3.71 3.96 4.28 4.34 4.63 4.80 4.92 290990012 Missouri Jefferson 35.7 36.5 0.00 3.70 3.70 3.70 3.70 3.70 3.70 0.00 3.70 10.13 11.37 11.93 12.32 12.55 12.72 12.88 13.13 340171003 New Jersey Hudson 35.7 36.1 0.00 0.58 0.76 0.76 0.76 0.76 0.76 0.00 0.58 1.69 2.76 2.95 3.41 3.46 3.67 3.88 3.96 170312001 Illinois Cook 35.6 38.2 0.00 2.40 2.86 2.87 2.87 2.87 2.88 0.00 2.40 5.61 6.39 6.94 7.30 7.43 7.64 7.80 8.01 391530017 Ohio Summit 35.6 37.2 0.00 1.82 2.29 2.30 2.30 2.30 2.32 0.00 1.82 6.27 7.47 7.95 8.80 8.92 9.48 9.79 10.08 211110048 Kentucky Jefferson 35.6 36.4 0.00 1.51 1.51 1.51 1.51 1.51 1.51 0.00 1.51 9.31 9.99 10.71 10.92 11.05 11.20 11.42 11.90 291831002 Missouri 

Saint Charles 35.5 37.1 0.00 3.60 3.60 3.60 3.60 3.60 3.60 0.00 3.60 9.71 10.83 11.37 11.70 11.89 12.05 12.19 12.45 

245100049 Maryland 

Baltimore (City 35.5 35.5 0.00 0.97 1.18 1.18 1.18 1.18 1.19 0.00 0.97 1.43 1.83 1.94 2.03 2.06 2.18 2.22 2.26 

261630001 Michigan Wayne 35.4 37.8 0.00 1.55 1.71 1.71 1.71 1.71 1.71 0.00 1.55 6.48 7.44 7.99 8.82 8.94 9.37 9.64 9.95 360610062 New York New York 35.3 37 0.00 0.96 1.20 1.21 1.22 1.22 1.23 0.00 0.96 1.91 2.79 2.95 3.34 3.39 3.57 3.75 3.82 420410101 Pennsylvania Cumberland 35.3 37 0.00 0.94 1.55 1.55 1.55 1.55 1.56 0.00 0.94 2.27 3.83 4.09 4.38 4.45 4.89 4.98 5.09 390810017 Ohio Jefferson 35.3 36.8 0.00 1.48 1.53 1.54 1.54 1.54 1.54 0.00 1.48 6.13 7.31 7.76 8.46 8.57 9.05 9.32 9.57 171630010 Illinois Saint Clair 35.3 35.9 0.00 3.98 3.98 3.98 3.98 3.98 3.98 0.00 3.98 9.47 10.47 10.96 11.27 11.44 11.59 11.73 11.96 295100085 Missouri 

St. Louis City 35.3 35.7 0.00 3.66 3.66 3.66 3.66 3.66 3.66 0.00 3.66 9.92 11.01 11.54 11.84 12.06 12.15 12.27 12.50 

181670023 Indiana Vigo 35.1 36.5 0.00 2.21 2.50 2.50 2.50 2.51 2.52 0.00 2.21 9.19 10.09 11.00 11.43 11.62 11.85 12.11 12.54 550250047 Wisconsin Dane 35.1 36.1 0.00 2.02 2.29 2.31 2.31 2.32 2.34 0.00 2.02 4.14 4.74 5.01 5.27 5.47 5.63 5.73 5.87 471650007 Tennessee Sumner 35.1 36 0.00 1.78 1.78 1.78 1.78 1.78 1.78 0.00 1.78 11.67 12.62 13.25 13.63 13.76 13.99 14.20 14.58 171971002 Illinois Will 35.1 35.8 0.00 2.93 3.34 3.34 3.35 3.35 3.36 0.00 2.93 5.85 6.51 6.90 7.20 7.31 7.49 7.62 7.79 210290006 Kentucky Bullitt 35 36.3 0.00 1.84 1.84 1.84 1.84 1.84 1.84 0.00 1.84 10.85 11.68 12.46 12.80 12.95 13.17 13.44 13.97 170310022 Illinois Cook 34.9 36.6 0.00 1.82 2.51 2.52 2.53 2.54 2.55 0.00 1.82 4.54 5.03 5.62 5.80 5.93 6.01 6.12 6.31 551330027 Wisconsin Waukesha 34.9 35.6 0.00 2.04 2.19 2.20 2.20 2.20 2.21 0.00 2.04 4.47 5.04 5.37 5.65 5.81 5.97 6.09 6.25 550790059 Wisconsin Milwaukee 34.8 36.3 0.00 2.76 3.32 3.33 3.34 3.36 3.38 0.00 2.76 5.19 5.77 6.15 6.43 6.62 6.77 6.89 7.06 245100035 Maryland 

Baltimore (City) 34.7 35.5 0.00 0.93 1.10 1.10 1.10 1.10 1.10 0.00 0.93 1.34 1.69 1.79 1.87 1.89 2.00 2.05 2.08 

390350027 Ohio Cuyahoga 34.5 36.6 0.00 1.50 2.00 2.00 2.00 2.01 2.03 0.00 1.50 4.67 5.65 6.08 6.92 7.03 7.56 7.88 8.16 191390015 Iowa Muscatine 34.5 36 0.00 1.73 2.29 2.32 2.33 2.35 2.38 0.00 1.73 3.57 4.03 4.30 4.52 4.63 4.73 4.80 4.89 211451004 Kentucky McCracken 34.4 36.8 0.00 1.72 1.72 1.72 1.72 1.72 1.72 0.00 1.72 9.48 10.15 10.87 11.08 11.22 11.32 11.52 11.94 420030095 Pennsylvania Allegheny 34.3 36.6 0.00 1.18 1.37 1.37 1.37 1.37 1.37 0.00 1.18 4.77 6.54 6.97 7.56 7.67 8.27 8.47 8.71 180431004 Indiana Floyd 34.3 35.7 0.00 1.69 1.69 1.69 1.69 1.69 1.69 0.00 1.69 10.78 11.59 12.43 12.71 12.87 13.04 13.30 13.83 391130031 Ohio Montgomery 34.3 35.6 0.00 1.55 1.82 1.82 1.82 1.82 1.83 0.00 1.55 8.13 8.97 9.54 10.15 10.27 10.64 10.93 11.31 391351001 Ohio Preble 34.3 35.5 0.00 1.76 1.76 1.76 1.76 1.76 1.76 0.00 1.76 10.60 11.61 12.40 13.11 13.28 13.67 14.02 14.54 390950024 Ohio Lucas 34.2 36.5 0.00 1.54 2.17 2.18 2.18 2.19 2.20 0.00 1.54 4.70 5.40 5.79 6.39 6.48 6.81 7.01 7.23 360610079 New York New York 34.2 36.4 0.00 0.78 0.90 0.91 0.91 0.91 0.91 0.00 0.78 2.23 3.29 3.54 3.97 4.06 4.37 4.71 4.83 
78 

390990014 Ohio Mahoning 34.2 35.8 0.00 1.40 1.85 1.85 1.85 1.85 1.87 0.00 1.40 4.69 5.75 6.13 6.80 6.89 7.35 7.59 7.82 170310050 Illinois Cook 34.1 35.8 0.00 2.75 3.03 3.03 3.04 3.04 3.05 0.00 2.75 6.15 6.97 7.50 7.89 8.03 8.26 8.43 8.65 110010041 

District Of Columbia 

District Of Columbia 34 35.6 0.00 1.22 1.43 1.43 1.43 1.43 1.44 0.00 1.22 3.66 4.99 5.38 5.76 5.84 6.26 6.40 6.55 

540090005 

West Virginia Brooke 33.9 36.1 0.00 1.38 1.64 1.64 1.64 1.64 1.65 0.00 1.38 4.93 6.01 6.40 7.04 7.14 7.60 7.83 8.05 

391550007 Ohio Trumbull 33.9 35.6 0.00 1.37 1.82 1.82 1.82 1.83 1.85 0.00 1.37 4.71 5.86 6.23 6.86 6.95 7.42 7.64 7.85 421255001 Pennsylvania Washington 33.9 35.5 0.00 1.74 1.75 1.75 1.75 1.75 1.75 0.00 1.74 7.09 8.57 9.06 9.79 9.91 10.47 10.74 10.99 420033007 Pennsylvania Allegheny 33.8 38.5 0.00 1.35 1.35 1.35 1.35 1.35 1.35 0.00 1.35 6.17 8.34 8.86 9.61 9.75 10.48 10.75 11.03 240031003 Maryland 

Anne Arundel 33.8 36.7 0.00 1.25 1.62 1.62 1.62 1.63 1.64 0.00 1.25 2.93 4.05 4.29 4.55 4.61 4.95 5.05 5.16 

180390003 Indiana Elkhart 33.8 35.6 0.00 1.68 2.13 2.14 2.14 2.14 2.15 0.00 1.68 6.01 6.72 7.26 7.56 7.69 7.88 8.05 8.30 212270007 Kentucky Warren 33.7 36.3 0.00 2.17 2.17 2.17 2.17 2.17 2.17 0.00 2.17 11.32 12.19 12.91 13.25 13.40 13.58 13.80 14.23 390350034 Ohio Cuyahoga 33.7 35.7 0.00 1.51 2.05 2.05 2.06 2.06 2.08 0.00 1.51 4.86 5.79 6.23 6.99 7.10 7.57 7.85 8.11 170314007 Illinois Cook 33.6 35.7 0.00 3.82 4.19 4.19 4.20 4.21 4.22 0.00 3.82 7.33 8.09 8.56 8.88 9.02 9.20 9.35 9.56 390950026 Ohio Lucas 33.6 35.6 0.00 1.73 1.98 1.98 1.98 1.98 1.99 0.00 1.73 7.42 8.48 9.06 9.81 9.95 10.40 10.70 11.05 110010042 

District Of Columbia 

District Of Columbia 33 35.6 0.00 1.05 1.25 1.25 1.25 1.25 1.26 0.00 1.05 2.90 3.87 4.18 4.44 4.50 4.81 4.92 5.04 

*To calculate a total reduction when both NOx and SO2 have non-zero marginal costs, add the two values and then subtract the 2014 base case value. For example, for Al

$500/ton SO2 and $1000/ton NOx, add 6.84 and 1.21 for a total of 8.05, then subtract the base case value of 1.02. The resulting total reduction in concentration is 7.03 g
79 

Table 3-5. Total* Average Daily Reductions in Nitrate and Sulfate Concentration (g/m3) at Downwind MState Containing the Receptor as a Function of EGU NOx and SO2 Emissions Reductions at Various Margof Reduction in 2014 (Estimated Using AQAT). 

Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 

SO2

Marginal 

Cost per 

Ton 

$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 

NOx

Marginal 

Cost per 

Ton 

$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 

Avg. 

Design 

Value

2012 

Max. 

Design 

Value

420030064 Pennsylvania Allegheny 58.8 62.3 0.00 0.02 0.10 0.10 0.10 0.10 0.10 0.00 0.02 0.59 2.06 2.22 2.40 2.46 2.85 2.88 2.97 261630033 Michigan Wayne 42.1 42.6 0.00 0.24 0.33 0.33 0.33 0.33 0.33 0.00 0.24 0.50 0.51 0.60 0.96 0.98 1.02 1.03 1.04 390350038 Ohio Cuyahoga 41.2 44 0.00 0.88 0.95 0.96 0.96 0.96 0.96 0.00 0.88 2.90 3.13 3.39 4.19 4.26 4.64 4.93 5.15 420030093 Pennsylvania Allegheny 41.1 46.2 0.00 

-

0.02 

-

0.02 

-

0.02 -0.02 -0.02 -0.02 0.00 

-

0.02 0.58 2.12 2.29 2.49 2.54 2.96 2.99 3.09 

170311016 Illinois Cook 41 44.1 0.00 2.36 2.48 2.48 2.49 2.49 2.49 0.00 2.36 2.42 2.50 2.51 2.50 2.50 2.50 2.50 2.51 261630016 Michigan Wayne 40.6 43 0.00 0.28 0.41 0.41 0.41 0.41 0.41 0.00 0.28 0.51 0.53 0.60 0.93 0.95 0.99 1.00 1.01 180970043 Indiana Marion 40.5 42 0.00 0.29 0.29 0.29 0.29 0.29 0.29 0.00 0.29 3.87 4.37 5.26 5.35 5.52 5.55 5.69 5.93 390170003 Ohio Butler 40.3 42.3 0.00 0.74 0.74 0.74 0.74 0.74 0.74 0.00 0.74 2.54 2.75 2.98 3.70 3.75 4.09 4.35 4.55 180970066 Indiana Marion 40.3 41.8 0.00 0.31 0.31 0.31 0.31 0.31 0.31 0.00 0.31 4.06 4.59 5.52 5.61 5.79 5.82 5.97 6.22 420210011 Pennsylvania Cambria 40.3 40.7 0.00 

-

0.05 

-

0.05 

-

0.05 -0.05 -0.05 -0.05 0.00 

-

0.05 1.74 6.32 6.82 7.40 7.57 8.80 8.91 9.18 

180970081 Indiana Marion 40.1 41.1 0.00 0.27 0.27 0.27 0.27 0.27 0.27 0.00 0.27 3.54 4.00 4.81 4.89 5.05 5.08 5.21 5.43 010730023 Alabama Jefferson 40 40.7 0.00 0.26 0.29 0.29 0.29 0.29 0.29 0.00 0.26 0.50 1.28 1.70 2.55 2.64 2.70 2.72 2.72 171191007 Illinois Madison 40 40.6 0.00 2.70 2.76 2.76 2.76 2.76 2.76 0.00 2.70 2.77 2.87 2.87 2.87 2.87 2.87 2.87 2.88 540090011 

West Virginia Brooke 39.9 40.8 0.00 0.28 0.38 0.38 0.38 0.38 0.39 0.00 0.28 1.15 1.18 1.20 1.20 1.20 1.21 1.22 1.21 

390618001 Ohio Hamilton 39.6 40.3 0.00 0.62 0.68 0.68 0.68 0.68 0.68 0.00 0.62 2.04 2.20 2.39 2.95 2.99 3.26 3.47 3.62 390350060 Ohio Cuyahoga 39.4 42.8 0.00 0.88 1.12 1.12 1.12 1.12 1.14 0.00 0.88 2.71 2.92 3.15 3.88 3.94 4.28 4.54 4.74 171190023 Illinois Madison 39.4 40.2 0.00 4.30 4.30 4.30 4.30 4.30 4.30 0.00 4.30 4.43 4.59 4.59 4.59 4.59 4.59 4.59 4.60 180970083 Indiana Marion 39 39.3 0.00 0.30 0.30 0.30 0.30 0.30 0.30 0.00 0.30 4.05 4.58 5.51 5.60 5.78 5.81 5.96 6.21 550790043 Wisconsin Milwaukee 38.8 39.7 0.00 0.02 0.10 0.10 0.10 0.11 0.11 0.00 0.02 0.09 0.12 0.12 0.13 0.23 0.24 0.26 0.28 180970078 Indiana Marion 38.7 39.7 0.00 0.29 0.29 0.29 0.29 0.29 0.29 0.00 0.29 3.84 4.34 5.22 5.31 5.48 5.51 5.65 5.89 261630019 Michigan Wayne 38.6 39.1 0.00 0.20 0.31 0.31 0.31 0.31 0.31 0.00 0.20 0.35 0.36 0.41 0.61 0.63 0.65 0.65 0.66 170310052 Illinois Cook 38.5 39.7 0.00 2.73 2.89 2.89 2.89 2.89 2.89 0.00 2.73 2.81 2.90 2.90 2.90 2.90 2.90 2.90 2.91 261630015 Michigan Wayne 38.5 39.1 0.00 0.18 0.21 0.21 0.21 0.21 0.21 0.00 0.18 0.43 0.44 0.52 0.87 0.90 0.94 0.94 0.96 390170017 Ohio Butler 38.5 38.5 0.00 0.61 0.61 0.61 0.61 0.61 0.61 0.00 0.61 2.10 2.26 2.46 3.05 3.09 3.37 3.59 3.75 261470005 Michigan St. Clair 38.4 39.4 0.00 0.13 0.18 0.18 0.18 0.18 0.18 0.00 0.13 0.26 0.27 0.31 0.49 0.50 0.52 0.52 0.53 170313301 Illinois Cook 38.2 41 0.00 2.94 3.06 3.06 3.06 3.06 3.07 0.00 2.94 3.02 3.12 3.13 3.12 3.12 3.12 3.12 3.13 340172002 New Jersey Hudson 38.2 38.2 0.00 

-

0.02 0.01 0.01 0.01 0.01 0.01 0.00 

-

0.02 

-

0.01 0.39 0.39 0.58 0.58 0.58 0.58 0.58 

180190006 Indiana Clark 38.1 40.2 0.00 0.19 0.28 0.28 0.28 0.28 0.28 0.00 0.19 2.09 2.36 2.83 2.88 2.97 2.99 3.06 3.19 261610008 Michigan Washtenaw 38.1 39.8 0.00 0.17 0.26 0.26 0.26 0.26 0.26 0.00 0.17 0.30 0.31 0.35 0.53 0.55 0.56 0.57 0.58 010732003 Alabama Jefferson 38.1 38.9 0.00 0.15 0.16 0.16 0.16 0.16 0.16 0.00 0.15 0.31 0.80 1.06 1.59 1.65 1.68 1.69 1.69 
80 

170313103 Illinois Cook 38.1 38.7 0.00 2.86 3.08 3.08 3.08 3.08 3.08 0.00 2.86 2.93 3.02 3.03 3.02 3.02 3.02 3.02 3.03 420031008 Pennsylvania Allegheny 38 39.3 0.00 

-

0.02 

-

0.02 

-

0.02 -0.02 -0.02 -0.02 0.00 

-

0.02 0.78 2.84 3.07 3.33 3.41 3.96 4.01 4.13 

390610006 Ohio Hamilton 38 38 0.00 0.62 0.62 0.62 0.62 0.62 0.62 0.00 0.62 2.13 2.30 2.50 3.09 3.14 3.42 3.64 3.81 261250001 Michigan Oakland 37.9 38.4 0.00 0.17 0.24 0.24 0.24 0.24 0.24 0.00 0.17 0.34 0.35 0.41 0.65 0.66 0.69 0.69 0.70 390171004 Ohio Butler 37.8 38.6 0.00 0.64 0.64 0.64 0.64 0.64 0.64 0.00 0.64 2.19 2.37 2.57 3.19 3.24 3.53 3.75 3.92 420710007 Pennsylvania Lancaster 37.7 40.1 0.00 0.24 0.96 0.96 0.96 0.96 0.96 0.00 0.24 0.88 2.53 2.71 2.92 2.98 3.43 3.47 3.57 420070014 Pennsylvania Beaver 37.7 39.1 0.00 0.00 0.05 0.05 0.05 0.05 0.05 0.00 0.00 0.50 1.78 1.92 2.09 2.13 2.48 2.51 2.58 550790010 Wisconsin Milwaukee 37.7 39 0.00 0.18 0.36 0.36 0.37 0.37 0.38 0.00 0.18 0.24 0.27 0.27 0.28 0.37 0.38 0.40 0.42 390617001 Ohio Hamilton 37.7 38.1 0.00 0.65 0.65 0.65 0.65 0.65 0.65 0.00 0.65 2.22 2.40 2.60 3.23 3.27 3.57 3.80 3.97 390610014 Ohio Hamilton 37.5 38.5 0.00 0.66 0.66 0.66 0.66 0.66 0.66 0.00 0.66 2.24 2.42 2.63 3.26 3.31 3.61 3.84 4.01 390170016 Ohio Butler 37.5 37.8 0.00 0.51 0.51 0.51 0.51 0.51 0.51 0.00 0.51 1.75 1.89 2.05 2.54 2.58 2.81 2.99 3.12 170316005 Illinois Cook 37.4 39.8 0.00 2.76 2.92 2.93 2.93 2.93 2.93 0.00 2.76 2.83 2.93 2.93 2.93 2.93 2.93 2.93 2.93 180890022 Indiana Lake 37.3 42.1 0.00 0.25 0.58 0.59 0.59 0.59 0.59 0.00 0.25 1.88 2.10 2.51 2.55 2.63 2.64 2.70 2.81 180970079 Indiana Marion 37.2 38.3 0.00 0.26 0.26 0.26 0.26 0.26 0.26 0.00 0.26 3.52 3.98 4.78 4.86 5.02 5.05 5.18 5.39 171192009 Illinois Madison 37.2 38.2 0.00 3.85 3.87 3.87 3.87 3.87 3.87 0.00 3.85 3.97 4.11 4.12 4.11 4.11 4.11 4.11 4.12 390610042 Ohio Hamilton 37.2 38 0.00 0.70 0.70 0.70 0.70 0.70 0.70 0.00 0.70 2.41 2.60 2.82 3.50 3.55 3.87 4.12 4.30 360610056 New York New York 37.1 38 0.00 0.23 0.23 0.24 0.24 0.24 0.25 0.00 0.23 0.25 0.23 0.25 0.32 0.35 0.42 0.62 0.64 420030116 Pennsylvania Allegheny 37.1 37.1 0.00 

-

0.02 

-

0.02 

-

0.02 -0.02 -0.02 -0.02 0.00 

-

0.02 0.63 2.29 2.47 2.68 2.74 3.19 3.23 3.33 

261150005 Michigan Monroe 37 38 0.00 0.09 0.11 0.11 0.11 0.11 0.11 0.00 0.09 0.20 0.20 0.24 0.39 0.40 0.41 0.42 0.42 210590005 Kentucky Daviess 37 37 0.00 

-

0.22 

-

0.22 

-

0.22 -0.22 -0.22 -0.22 0.00 

-

0.22 5.74 5.80 6.02 6.08 6.09 6.15 6.30 6.76 

550790099 Wisconsin Milwaukee 36.8 37.7 0.00 0.13 0.27 0.27 0.28 0.29 0.29 0.00 0.13 0.19 0.22 0.21 0.22 0.31 0.32 0.34 0.36 191630019 Iowa Scott 36.8 36.8 0.00 0.06 0.06 0.06 0.06 0.06 0.06 0.00 0.06 0.27 0.37 0.45 0.52 0.58 0.58 0.59 0.59 340390004 New Jersey Union 36.7 37.2 0.00 

-

0.03 

-

0.01 

-

0.01 -0.01 -0.01 -0.01 0.00 

-

0.03 

-

0.02 0.32 0.32 0.48 0.48 0.48 0.49 0.49 

420031301 Pennsylvania Allegheny 36.6 38.6 0.00 

-

0.02 

-

0.02 

-

0.02 -0.02 -0.02 -0.02 0.00 

-

0.02 0.68 2.47 2.67 2.89 2.96 3.44 3.48 3.59 

471251009 Tennessee Montgomery 36.6 37.9 0.00 0.00 0.04 0.04 0.04 0.04 0.04 0.00 0.00 3.14 3.30 3.32 3.33 3.33 3.33 3.32 3.34 390490024 Ohio Franklin 36.6 37.6 0.00 0.69 0.85 0.85 0.85 0.85 0.86 0.00 0.69 2.12 2.29 2.48 3.05 3.09 3.36 3.57 3.73 390811001 Ohio Jefferson 36.5 39.9 0.00 0.58 0.60 0.60 0.60 0.60 0.60 0.00 0.58 1.95 2.11 2.29 2.83 2.88 3.13 3.33 3.48 390350065 Ohio Cuyahoga 36.5 38.9 0.00 0.83 1.00 1.00 1.00 1.00 1.01 0.00 0.83 2.62 2.82 3.06 3.77 3.82 4.16 4.42 4.62 180372001 Indiana Dubois 36.5 38 0.00 0.26 0.35 0.35 0.35 0.35 0.35 0.00 0.26 2.97 3.35 4.02 4.09 4.22 4.24 4.35 4.53 171193007 Illinois Madison 36.5 37.3 0.00 4.14 4.14 4.14 4.14 4.14 4.14 0.00 4.14 4.26 4.42 4.42 4.42 4.42 4.42 4.42 4.43 295100087 Missouri 

St. Louis City 36.4 36.9 0.00 

-

0.43 

-

0.43 

-

0.43 -0.43 -0.43 -0.43 0.00 

-

0.43 1.31 1.73 1.81 1.85 1.94 1.94 1.94 1.95 

550790026 Wisconsin Milwaukee 36.3 40.1 0.00 0.14 0.28 0.28 0.29 0.29 0.30 0.00 0.14 0.19 0.22 0.22 0.22 0.31 0.32 0.33 0.35 180890026 Indiana Lake 36.3 39.3 0.00 0.22 0.56 0.56 0.56 0.56 0.56 0.00 0.22 1.40 1.56 1.86 1.89 1.94 1.95 2.00 2.08 391130032 Ohio Montgomery 36.3 38.5 0.00 0.70 0.70 0.70 0.70 0.70 0.70 0.00 0.70 2.38 2.57 2.79 3.46 3.51 3.83 4.08 4.26 245100040 Maryland 

Baltimore (City) 36.3 38.3 0.00 0.32 0.32 0.32 0.32 0.32 0.32 0.00 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 

170310076 Illinois Cook 36.3 37.3 0.00 3.02 3.10 3.10 3.10 3.10 3.10 0.00 3.02 3.11 3.21 3.22 3.21 3.21 3.21 3.21 3.22 180970042 Indiana Marion 36.3 37.2 0.00 0.29 0.29 0.29 0.29 0.29 0.29 0.00 0.29 3.90 4.40 5.30 5.39 5.56 5.59 5.73 5.97 261630036 Michigan Wayne 36.3 36.9 0.00 0.19 0.28 0.28 0.28 0.28 0.28 0.00 0.19 0.33 0.34 0.39 0.60 0.61 0.63 0.64 0.65 360610128 New York New York 36.2 38 0.00 0.14 0.14 0.15 0.15 0.15 0.15 0.00 0.14 0.15 0.14 0.15 0.21 0.24 0.28 0.44 0.46 390490025 Ohio Franklin 36.1 36.4 0.00 0.65 0.80 0.80 0.80 0.80 0.82 0.00 0.65 2.03 2.19 2.37 2.92 2.96 3.22 3.42 3.57 390350045 Ohio Cuyahoga 36 39 0.00 0.88 1.06 1.06 1.06 1.06 1.07 0.00 0.88 2.79 3.00 3.25 4.01 4.07 4.42 4.70 4.91 211110044 Kentucky Jefferson 36 36.5 0.00 

-

0.16 

-

0.16 

-

0.16 -0.16 -0.16 -0.16 0.00 

-

0.16 4.20 4.25 4.41 4.46 4.46 4.51 4.61 4.96 
81 

390610043 Ohio Hamilton 36 36.4 0.00 0.55 0.55 0.55 0.55 0.55 0.55 0.00 0.55 1.87 2.02 2.19 2.72 2.76 3.00 3.20 3.34 295100007 Missouri 

St. Louis City 36 36.3 0.00 

-

0.72 

-

0.72 

-

0.72 -0.72 -0.72 -0.72 0.00 

-

0.72 2.15 2.84 2.97 3.04 3.19 3.18 3.18 3.20 

421330008 Pennsylvania York 35.9 38.8 0.00 0.18 0.76 0.76 0.76 0.76 0.76 0.00 0.18 1.25 3.99 4.29 4.63 4.74 5.47 5.54 5.70 181570008 Indiana Tippecanoe 35.9 36.9 0.00 0.16 0.16 0.16 0.16 0.16 0.16 0.00 0.16 2.11 2.39 2.87 2.92 3.01 3.03 3.11 3.24 180830004 Indiana Knox 35.9 36.5 0.00 0.24 0.32 0.32 0.32 0.32 0.32 0.00 0.24 2.74 3.10 3.72 3.78 3.90 3.92 4.02 4.19 420030008 Pennsylvania Allegheny 35.9 36.3 0.00 

-

0.02 

-

0.02 

-

0.02 -0.02 -0.02 -0.02 0.00 

-

0.02 0.63 2.29 2.47 2.67 2.74 3.18 3.22 3.32 

360050080 New York Bronx 35.9 36.2 0.00 0.15 0.15 0.16 0.16 0.16 0.16 0.00 0.15 0.17 0.15 0.17 0.24 0.27 0.33 0.52 0.54 390610040 Ohio Hamilton 35.8 36.8 0.00 0.63 0.63 0.63 0.63 0.63 0.63 0.00 0.63 2.16 2.33 2.53 3.14 3.19 3.47 3.69 3.86 211110043 Kentucky Jefferson 35.8 36.4 0.00 

-

0.15 

-

0.15 

-

0.15 -0.15 -0.15 -0.15 0.00 

-

0.15 3.94 3.99 4.14 4.18 4.18 4.23 4.33 4.65 

420430401 Pennsylvania Dauphin 35.7 37.1 0.00 0.26 1.07 1.07 1.07 1.07 1.07 0.00 0.26 0.95 2.72 2.91 3.13 3.20 3.67 3.71 3.82 170310057 Illinois Cook 35.7 37 0.00 2.90 3.10 3.10 3.10 3.10 3.10 0.00 2.90 2.97 3.07 3.07 3.07 3.07 3.07 3.07 3.08 090091123 Connecticut New Haven 35.7 36.6 0.00 0.11 0.11 0.11 0.11 0.11 0.11 0.00 0.11 0.11 0.11 0.11 0.11 0.11 0.11 0.11 0.11 290990012 Missouri Jefferson 35.7 36.5 0.00 

-

0.63 

-

0.63 

-

0.63 -0.63 -0.63 -0.63 0.00 

-

0.63 1.89 2.50 2.62 2.68 2.81 2.80 2.80 2.82 

340171003 New Jersey Hudson 35.7 36.1 0.00 

-

0.07 

-

0.06 

-

0.06 -0.06 -0.06 -0.06 0.00 

-

0.07 

-

0.07 0.49 0.49 0.75 0.74 0.74 0.75 0.75 

170312001 Illinois Cook 35.6 38.2 0.00 1.75 1.82 1.82 1.82 1.82 1.82 0.00 1.75 1.80 1.86 1.86 1.86 1.86 1.86 1.86 1.86 391530017 Ohio Summit 35.6 37.2 0.00 0.79 1.04 1.04 1.04 1.04 1.06 0.00 0.79 2.39 2.57 2.78 3.41 3.46 3.76 3.99 4.17 211110048 Kentucky Jefferson 35.6 36.4 0.00 

-

0.15 

-

0.15 

-

0.15 -0.15 -0.15 -0.15 0.00 

-

0.15 3.77 3.81 3.96 4.00 4.00 4.05 4.14 4.45 

291831002 Missouri 

Saint Charles 35.5 37.1 0.00 

-

0.51 

-

0.51 

-

0.51 -0.51 -0.51 -0.51 0.00 

-

0.51 1.54 2.03 2.12 2.18 2.28 2.28 2.28 2.29 

245100049 Maryland 

Baltimore (City 35.5 35.5 0.00 0.33 0.32 0.32 0.32 0.32 0.32 0.00 0.33 0.32 0.32 0.32 0.32 0.32 0.32 0.32 0.32 

261630001 Michigan Wayne 35.4 37.8 0.00 0.14 0.18 0.18 0.18 0.18 0.18 0.00 0.14 0.31 0.32 0.38 0.62 0.63 0.66 0.66 0.67 360610062 New York New York 35.3 37 0.00 0.21 0.22 0.23 0.23 0.23 0.24 0.00 0.21 0.23 0.22 0.22 0.27 0.29 0.32 0.44 0.45 420410101 Pennsylvania Cumberland 35.3 37 0.00 0.18 0.73 0.73 0.73 0.73 0.74 0.00 0.18 0.75 2.22 2.38 2.57 2.62 3.02 3.05 3.14 390810017 Ohio Jefferson 35.3 36.8 0.00 0.55 0.57 0.57 0.57 0.57 0.57 0.00 0.55 1.83 1.98 2.15 2.66 2.70 2.94 3.12 3.26 171630010 Illinois Saint Clair 35.3 35.9 0.00 3.97 3.97 3.97 3.97 3.97 3.97 0.00 3.97 4.09 4.24 4.24 4.24 4.24 4.24 4.24 4.25 295100085 Missouri 

St. Louis City 35.3 35.7 0.00 

-

0.68 

-

0.68 

-

0.68 -0.68 -0.68 -0.68 0.00 

-

0.68 2.06 2.72 2.84 2.91 3.05 3.05 3.04 3.06 

181670023 Indiana Vigo 35.1 36.5 0.00 0.27 0.39 0.39 0.39 0.40 0.39 0.00 0.27 3.04 3.43 4.11 4.18 4.32 4.34 4.45 4.63 550250047 Wisconsin Dane 35.1 36.1 0.00 

-

0.01 0.05 0.05 0.05 0.05 0.06 0.00 

-

0.01 0.06 0.10 0.09 0.10 0.21 0.23 0.25 0.27 

471650007 Tennessee Sumner 35.1 36 0.00 

-

0.02 

-

0.02 

-

0.02 -0.02 -0.02 -0.02 0.00 

-

0.02 4.04 4.25 4.28 4.28 4.28 4.28 4.28 4.29 

171971002 Illinois Will 35.1 35.8 0.00 2.42 2.55 2.55 2.55 2.55 2.55 0.00 2.42 2.49 2.57 2.57 2.57 2.57 2.57 2.57 2.58 210290006 Kentucky Bullitt 35 36.3 0.00 

-

0.16 

-

0.16 

-

0.16 -0.16 -0.16 -0.16 0.00 

-

0.16 4.07 4.12 4.27 4.32 4.32 4.37 4.47 4.80 

170310022 Illinois Cook 34.9 36.6 0.00 1.22 1.34 1.34 1.34 1.34 1.34 0.00 1.22 1.26 1.29 1.30 1.29 1.29 1.29 1.29 1.30 551330027 Wisconsin Waukesha 34.9 35.6 0.00 0.00 0.04 0.04 0.04 0.04 0.04 0.00 0.00 0.04 0.06 0.06 0.07 0.14 0.15 0.16 0.17 550790059 Wisconsin Milwaukee 34.8 36.3 0.00 0.08 0.18 0.18 0.19 0.19 0.19 0.00 0.08 0.13 0.16 0.16 0.17 0.25 0.27 0.28 0.30 245100035 Maryland 

Baltimore (City) 34.7 35.5 0.00 0.32 0.31 0.31 0.31 0.31 0.31 0.00 0.32 0.31 0.31 0.31 0.31 0.31 0.31 0.31 0.31 

390350027 Ohio Cuyahoga 34.5 36.6 0.00 0.84 1.09 1.09 1.10 1.10 1.12 0.00 0.84 2.53 2.72 2.95 3.62 3.67 3.99 4.24 4.42 191390015 Iowa Muscatine 34.5 36 0.00 0.16 0.26 0.28 0.29 0.29 0.30 0.00 0.16 0.31 0.37 0.43 0.48 0.52 0.52 0.53 0.53 211451004 Kentucky McCracken 34.4 36.8 0.00 

-

0.11 

-

0.11 

-

0.11 -0.11 -0.11 -0.11 0.00 

-

0.11 2.85 2.89 3.00 3.02 3.03 3.06 3.13 3.36 

420030095 Pennsylvania Allegheny 34.3 36.6 0.00 0.01 0.10 0.10 0.10 0.10 0.10 0.00 0.01 0.62 2.19 2.36 2.56 2.62 3.04 3.07 3.17 180431004 Indiana Floyd 34.3 35.7 0.00 0.19 0.19 0.19 0.19 0.19 0.19 0.00 0.19 2.59 2.92 3.52 3.58 3.69 3.71 3.81 3.97 
82 

391130031 Ohio Montgomery 34.3 35.6 0.00 0.57 0.67 0.67 0.67 0.67 0.68 0.00 0.57 1.81 1.96 2.12 2.61 2.65 2.88 3.07 3.20 391351001 Ohio Preble 34.3 35.5 0.00 0.55 0.55 0.55 0.55 0.55 0.55 0.00 0.55 1.88 2.03 2.20 2.73 2.77 3.02 3.21 3.36 390950024 Ohio Lucas 34.2 36.5 0.00 0.50 0.70 0.70 0.70 0.70 0.72 0.00 0.50 1.43 1.53 1.66 2.03 2.05 2.23 2.37 2.47 360610079 New York New York 34.2 36.4 0.00 0.12 0.12 0.12 0.12 0.12 0.12 0.00 0.12 0.14 0.12 0.14 0.23 0.26 0.34 0.58 0.60 390990014 Ohio Mahoning 34.2 35.8 0.00 0.63 0.86 0.86 0.86 0.86 0.88 0.00 0.63 1.86 2.00 2.16 2.65 2.68 2.91 3.09 3.23 170310050 Illinois Cook 34.1 35.8 0.00 2.17 2.23 2.23 2.23 2.23 2.23 0.00 2.17 2.23 2.30 2.31 2.30 2.30 2.30 2.30 2.31 110010041 

District Of Columbia 

District Of Columbia 34 35.6 0.00 0.03 0.03 0.03 0.03 0.03 0.03 0.00 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 

540090005 

West Virginia Brooke 33.9 36.1 0.00 0.38 0.44 0.44 0.44 0.44 0.44 0.00 0.38 1.67 1.71 1.73 1.74 1.74 1.74 1.76 1.75 

391550007 Ohio Trumbull 33.9 35.6 0.00 0.59 0.83 0.83 0.83 0.83 0.85 0.00 0.59 1.69 1.82 1.96 2.40 2.43 2.64 2.80 2.92 421255001 Pennsylvania Washington 33.9 35.5 0.00 

-

0.01 

-

0.01 

-

0.01 -0.01 -0.01 -0.01 0.00 

-

0.01 0.44 1.61 1.74 1.89 1.93 2.25 2.28 2.35 

420033007 Pennsylvania Allegheny 33.8 38.5 0.00 

-

0.02 

-

0.02 

-

0.02 -0.02 -0.02 -0.02 0.00 

-

0.02 0.72 2.63 2.84 3.08 3.15 3.66 3.71 3.82 

240031003 Maryland 

Anne Arundel 33.8 36.7 0.00 0.35 0.35 0.35 0.35 0.35 0.35 0.00 0.35 0.34 0.34 0.34 0.34 0.34 0.34 0.34 0.34 

180390003 Indiana Elkhart 33.8 35.6 0.00 0.23 0.54 0.54 0.54 0.54 0.54 0.00 0.23 1.73 1.94 2.31 2.35 2.42 2.43 2.49 2.59 212270007 Kentucky Warren 33.7 36.3 0.00 

-

0.11 

-

0.11 

-

0.11 -0.11 -0.11 -0.11 0.00 

-

0.11 2.73 2.76 2.87 2.90 2.90 2.93 3.00 3.22 

390350034 Ohio Cuyahoga 33.7 35.7 0.00 0.75 1.04 1.05 1.05 1.05 1.07 0.00 0.75 2.16 2.32 2.50 3.06 3.10 3.37 3.57 3.73 170314007 Illinois Cook 33.6 35.7 0.00 3.28 3.42 3.42 3.43 3.43 3.43 0.00 3.28 3.37 3.48 3.49 3.48 3.48 3.48 3.48 3.49 390950026 Ohio Lucas 33.6 35.6 0.00 0.59 0.66 0.66 0.66 0.66 0.66 0.00 0.59 1.91 2.06 2.24 2.76 2.80 3.05 3.24 3.39 110010042 

District Of Columbia 

District Of Columbia 33 35.6 0.00 0.03 0.03 0.03 0.03 0.03 0.03 0.00 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 0.03 

*To calculate a total reduction when both NOx and SO2 have non-zero marginal costs, add the two values and then subtract the 2014 base case value.. 
83 

Table 3-6. Total* Average Daily Reductions in Nitrate and Sulfate Concentration (g/m3) at Downwind MStates Upwind of the Receptor as a Function of EGU NOx and SO2 Emissions Reductions at Various Marg

of Reduction in 2014 (Estimated Using AQAT). 

Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 

SO2

Marginal 

Cost per 

Ton 

$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 

NOx

Marginal 

Cost per 

Ton 

$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 

Avg. 

Design 

Value

2012 

Max. 

Design 

Value

420030064 Pennsylvania Allegheny 58.8 62.3 0.00 1.00 1.11 1.11 1.11 1.11 1.11 0.00 1.00 3.59 3.77 3.98 4.34 4.39 4.54 4.69 4.82 261630033 Michigan Wayne 42.1 42.6 0.00 1.40 1.69 1.70 1.70 1.70 1.71 0.00 1.40 5.27 6.00 6.40 6.80 6.89 7.17 7.36 7.60 390350038 Ohio Cuyahoga 41.2 44 0.00 0.94 1.01 1.01 1.02 1.02 1.02 0.00 0.94 4.33 5.66 5.99 6.28 6.36 6.71 6.81 6.96 420030093 Pennsylvania Allegheny 41.1 46.2 0.00 1.36 1.36 1.36 1.36 1.36 1.36 0.00 1.36 5.53 5.79 6.09 6.54 6.60 6.81 7.01 7.18 170311016 Illinois Cook 41 44.1 0.00 0.53 0.85 0.85 0.85 0.86 0.87 0.00 0.53 2.99 3.62 3.99 4.30 4.40 4.59 4.71 4.87 261630016 Michigan Wayne 40.6 43 0.00 1.18 1.63 1.63 1.63 1.63 1.64 0.00 1.18 3.41 4.08 4.39 4.73 4.81 5.07 5.22 5.39 180970043 Indiana Marion 40.5 42 0.00 1.53 1.53 1.53 1.53 1.53 1.53 0.00 1.53 7.78 8.43 8.72 9.14 9.20 9.47 9.67 10.02 390170003 Ohio Butler 40.3 42.3 0.00 1.42 1.42 1.42 1.42 1.42 1.42 0.00 1.42 10.94 11.91 12.64 12.79 12.93 13.08 13.27 13.74 180970066 Indiana Marion 40.3 41.8 0.00 1.59 1.59 1.59 1.59 1.59 1.59 0.00 1.59 7.62 8.24 8.54 8.97 9.04 9.31 9.52 9.88 420210011 Pennsylvania Cambria 40.3 40.7 0.00 1.22 1.22 1.22 1.22 1.22 1.22 0.00 1.22 4.82 5.09 5.43 5.99 6.07 6.30 6.52 6.71 180970081 Indiana Marion 40.1 41.1 0.00 1.36 1.36 1.36 1.36 1.36 1.36 0.00 1.36 7.62 8.25 8.53 8.90 8.96 9.21 9.40 9.72 010730023 Alabama Jefferson 40 40.7 0.00 1.00 1.01 1.01 1.01 1.01 1.01 0.00 1.00 3.09 3.47 3.62 3.76 3.79 3.90 3.97 4.09 171191007 Illinois Madison 40 40.6 0.00 0.25 0.48 0.48 0.48 0.50 0.52 0.00 0.25 4.20 4.97 5.34 5.67 5.80 5.97 6.09 6.26 540090011 

West Virginia Brooke 39.9 40.8 0.00 1.13 1.55 1.55 1.55 1.55 1.57 0.00 1.13 3.14 4.20 4.54 5.15 5.23 5.68 5.87 6.08 

390618001 Ohio Hamilton 39.6 40.3 0.00 0.98 1.11 1.11 1.11 1.11 1.11 0.00 0.98 6.62 7.48 7.93 8.12 8.21 8.37 8.48 8.76 390350060 Ohio Cuyahoga 39.4 42.8 0.00 0.71 0.94 0.95 0.95 0.95 0.95 0.00 0.71 2.59 3.39 3.60 3.81 3.86 4.08 4.15 4.25 171190023 Illinois Madison 39.4 40.2 0.00 

-

0.04 

-

0.04 

-

0.04 -0.04 -0.04 -0.04 0.00 

-

0.04 5.47 6.30 6.80 7.11 7.28 7.41 7.55 7.78 

180970083 Indiana Marion 39 39.3 0.00 1.55 1.55 1.55 1.55 1.55 1.55 0.00 1.55 8.02 8.67 8.98 9.40 9.47 9.74 9.96 10.32 550790043 Wisconsin Milwaukee 38.8 39.7 0.00 3.10 3.32 3.33 3.33 3.34 3.35 0.00 3.10 6.20 6.92 7.38 7.74 7.86 8.05 8.20 8.40 180970078 Indiana Marion 38.7 39.7 0.00 1.52 1.52 1.52 1.52 1.52 1.52 0.00 1.52 7.76 8.40 8.69 9.10 9.17 9.43 9.64 9.98 261630019 Michigan Wayne 38.6 39.1 0.00 1.09 1.44 1.45 1.45 1.45 1.46 0.00 1.09 3.21 3.80 4.10 4.41 4.48 4.71 4.85 5.01 170310052 Illinois Cook 38.5 39.7 0.00 0.47 0.76 0.77 0.77 0.78 0.80 0.00 0.47 2.53 2.99 3.30 3.54 3.63 3.77 3.87 3.99 261630015 Michigan Wayne 38.5 39.1 0.00 1.40 1.51 1.51 1.51 1.51 1.51 0.00 1.40 6.11 6.94 7.42 7.92 8.02 8.33 8.55 8.82 390170017 Ohio Butler 38.5 38.5 0.00 1.17 1.17 1.17 1.17 1.17 1.17 0.00 1.17 9.01 9.81 10.42 10.54 10.65 10.78 10.94 11.32 261470005 Michigan St. Clair 38.4 39.4 0.00 1.05 1.23 1.24 1.24 1.24 1.24 0.00 1.05 3.97 4.73 5.05 5.42 5.50 5.79 5.97 6.16 170313301 Illinois Cook 38.2 41 0.00 0.53 0.88 0.88 0.89 0.89 0.90 0.00 0.53 2.84 3.43 3.81 4.11 4.22 4.40 4.51 4.65 340172002 New Jersey Hudson 38.2 38.2 0.00 0.74 0.91 0.92 0.92 0.92 0.93 0.00 0.74 1.38 1.83 1.96 2.13 2.18 2.38 2.58 2.63 180190006 Indiana Clark 38.1 40.2 0.00 1.59 1.73 1.73 1.73 1.73 1.74 0.00 1.59 7.51 8.04 8.28 8.52 8.57 8.75 8.90 9.24 261610008 Michigan Washtenaw 38.1 39.8 0.00 1.44 1.78 1.78 1.78 1.78 1.79 0.00 1.44 5.67 6.48 6.90 7.34 7.43 7.74 7.94 8.19 010732003 Alabama Jefferson 38.1 38.9 0.00 0.79 0.79 0.79 0.79 0.79 0.79 0.00 0.79 2.56 2.83 2.97 3.07 3.10 3.18 3.24 3.34 170313103 Illinois Cook 38.1 38.7 0.00 0.48 0.91 0.92 0.92 0.93 0.95 0.00 0.48 1.84 2.15 2.38 2.57 2.64 2.73 2.79 2.88 420031008 Pennsylvania Allegheny 38 39.3 0.00 1.45 1.45 1.45 1.45 1.45 1.45 0.00 1.45 5.84 6.14 6.49 7.07 7.14 7.40 7.64 7.85 390610006 Ohio Hamilton 38 38 0.00 1.22 1.22 1.22 1.22 1.22 1.22 0.00 1.22 9.12 10.07 10.70 10.88 11.00 11.15 11.31 11.70 261250001 Michigan Oakland 37.9 38.4 0.00 1.45 1.64 1.64 1.64 1.64 1.65 0.00 1.45 6.03 6.98 7.45 7.97 8.08 8.45 8.68 8.96 390171004 Ohio Butler 37.8 38.6 0.00 1.11 1.11 1.11 1.11 1.11 1.11 0.00 1.11 8.75 9.54 10.13 10.25 10.36 10.48 10.64 11.02 420710007 Pennsylvania Lancaster 37.7 40.1 0.00 0.74 0.83 0.83 0.83 0.83 0.84 0.00 0.74 1.01 1.06 1.11 1.17 1.18 1.20 1.24 1.25 420070014 Pennsylvania Beaver 37.7 39.1 0.00 1.33 1.42 1.42 1.42 1.42 1.42 0.00 1.33 4.71 4.96 5.26 5.77 5.83 6.06 6.27 6.44 550790010 Wisconsin Milwaukee 37.7 39 0.00 2.49 3.25 3.27 3.28 3.31 3.33 0.00 2.49 3.59 3.84 4.07 4.21 4.28 4.31 4.35 4.42 390617001 Ohio Hamilton 37.7 38.1 0.00 1.12 1.12 1.12 1.12 1.12 1.12 0.00 1.12 8.32 9.32 9.87 10.03 10.14 10.33 10.47 10.81 390610014 Ohio Hamilton 37.5 38.5 0.00 0.99 0.99 0.99 0.99 0.99 0.99 0.00 0.99 7.70 8.66 9.18 9.39 9.49 9.67 9.80 10.13 
84 

390170016 Ohio Butler 37.5 37.8 0.00 1.26 1.26 1.26 1.26 1.26 1.26 0.00 1.26 9.10 10.07 10.69 10.83 10.96 11.12 11.28 11.67 170316005 Illinois Cook 37.4 39.8 0.00 0.50 0.87 0.88 0.89 0.90 0.91 0.00 0.50 2.30 2.70 2.98 3.20 3.28 3.40 3.49 3.60 180890022 Indiana Lake 37.3 42.1 0.00 1.78 1.94 1.95 1.95 1.95 1.97 0.00 1.78 2.15 2.28 2.33 2.43 2.47 2.49 2.51 2.53 180970079 Indiana Marion 37.2 38.3 0.00 1.66 1.66 1.66 1.66 1.66 1.66 0.00 1.66 7.95 8.61 8.93 9.40 9.48 9.77 10.00 10.38 171192009 Illinois Madison 37.2 38.2 0.00 0.01 0.02 0.02 0.02 0.02 0.03 0.00 0.01 5.17 6.06 6.53 6.85 7.01 7.17 7.31 7.52 390610042 Ohio Hamilton 37.2 38 0.00 0.92 0.92 0.92 0.92 0.92 0.92 0.00 0.92 7.20 7.91 8.37 8.48 8.57 8.69 8.81 9.11 360610056 New York New York 37.1 38 0.00 0.71 0.94 0.94 0.94 0.94 0.94 0.00 0.71 1.41 2.04 2.18 2.38 2.41 2.56 2.62 2.67 420030116 Pennsylvania Allegheny 37.1 37.1 0.00 1.30 1.30 1.30 1.30 1.30 1.30 0.00 1.30 5.37 5.65 5.95 6.40 6.46 6.66 6.86 7.02 261150005 Michigan Monroe 37 38 0.00 1.59 1.71 1.71 1.71 1.72 1.72 0.00 1.59 7.47 8.53 9.12 9.77 9.90 10.31 10.58 10.93 210590005 Kentucky Daviess 37 37 0.00 2.17 2.17 2.17 2.17 2.17 2.17 0.00 2.17 7.42 8.15 9.04 9.27 9.46 9.54 9.72 9.99 550790099 Wisconsin Milwaukee 36.8 37.7 0.00 2.64 3.17 3.19 3.20 3.21 3.24 0.00 2.64 4.37 4.84 5.16 5.40 5.49 5.59 5.67 5.78 191630019 Iowa Scott 36.8 36.8 0.00 2.82 2.82 2.82 2.82 2.82 2.82 0.00 2.82 8.52 9.83 10.41 10.94 11.14 11.51 11.73 12.05 340390004 New Jersey Union 36.7 37.2 0.00 0.83 0.94 0.94 0.94 0.95 0.95 0.00 0.83 2.49 3.37 3.61 3.84 3.90 4.19 4.34 4.46 420031301 Pennsylvania Allegheny 36.6 38.6 0.00 1.25 1.25 1.25 1.25 1.25 1.25 0.00 1.25 4.97 5.22 5.51 6.01 6.07 6.29 6.49 6.66 471251009 Tennessee Montgomery 36.6 37.9 0.00 2.17 2.31 2.31 2.31 2.31 2.32 0.00 2.17 7.08 7.89 8.38 8.79 8.90 9.16 9.36 9.66 390490024 Ohio Franklin 36.6 37.6 0.00 0.96 1.17 1.17 1.17 1.17 1.17 0.00 0.96 4.81 5.69 6.03 6.20 6.28 6.48 6.58 6.74 390811001 Ohio Jefferson 36.5 39.9 0.00 0.92 0.94 0.94 0.94 0.94 0.94 0.00 0.92 4.13 5.07 5.33 5.52 5.59 5.82 5.89 5.99 390350065 Ohio Cuyahoga 36.5 38.9 0.00 0.78 0.94 0.94 0.94 0.94 0.95 0.00 0.78 3.16 4.20 4.46 4.68 4.75 5.02 5.11 5.22 180372001 Indiana Dubois 36.5 38 0.00 1.67 1.79 1.79 1.80 1.80 1.81 0.00 1.67 7.44 7.92 8.17 8.46 8.51 8.70 8.87 9.22 171193007 Illinois Madison 36.5 37.3 0.00 

-

0.03 

-

0.03 

-

0.03 -0.03 -0.03 -0.03 0.00 

-

0.03 5.67 6.58 7.10 7.43 7.60 7.76 7.91 8.15 

295100087 Missouri 

St. Louis City 36.4 36.9 0.00 4.30 4.31 4.31 4.31 4.31 4.31 0.00 4.30 8.02 8.60 9.01 9.28 9.36 9.51 9.66 9.88 

550790026 Wisconsin Milwaukee 36.3 40.1 0.00 2.23 2.70 2.72 2.72 2.74 2.76 0.00 2.23 3.62 4.03 4.30 4.50 4.57 4.66 4.73 4.82 180890026 Indiana Lake 36.3 39.3 0.00 1.74 1.94 1.94 1.94 1.95 1.96 0.00 1.74 3.24 3.71 3.85 4.15 4.21 4.38 4.46 4.55 391130032 Ohio Montgomery 36.3 38.5 0.00 1.23 1.23 1.23 1.23 1.23 1.23 0.00 1.23 8.97 9.93 10.50 10.67 10.78 10.96 11.12 11.48 245100040 Maryland 

Baltimore (City) 36.3 38.3 0.00 0.65 0.83 0.83 0.83 0.83 0.84 0.00 0.65 1.12 1.51 1.62 1.71 1.74 1.86 1.90 1.94 

170310076 Illinois Cook 36.3 37.3 0.00 0.55 0.77 0.77 0.77 0.78 0.78 0.00 0.55 3.42 4.18 4.64 5.03 5.16 5.40 5.54 5.72 180970042 Indiana Marion 36.3 37.2 0.00 1.64 1.64 1.64 1.64 1.64 1.64 0.00 1.64 8.02 8.65 8.96 9.39 9.45 9.72 9.94 10.32 261630036 Michigan Wayne 36.3 36.9 0.00 1.43 1.73 1.73 1.73 1.73 1.74 0.00 1.43 5.17 5.84 6.22 6.61 6.70 6.96 7.14 7.37 360610128 New York New York 36.2 38 0.00 0.83 0.95 0.95 0.95 0.95 0.95 0.00 0.83 2.97 4.32 4.60 5.03 5.10 5.42 5.52 5.66 390490025 Ohio Franklin 36.1 36.4 0.00 0.97 1.14 1.14 1.14 1.15 1.15 0.00 0.97 4.62 5.48 5.83 6.00 6.08 6.28 6.37 6.54 390350045 Ohio Cuyahoga 36 39 0.00 0.79 0.96 0.96 0.96 0.96 0.96 0.00 0.79 3.38 4.33 4.58 4.82 4.88 5.13 5.22 5.33 211110044 Kentucky Jefferson 36 36.5 0.00 1.84 1.84 1.84 1.84 1.84 1.84 0.00 1.84 6.14 6.84 7.47 7.67 7.81 7.93 8.06 8.26 390610043 Ohio Hamilton 36 36.4 0.00 1.30 1.30 1.30 1.30 1.30 1.30 0.00 1.30 9.33 10.19 10.84 10.97 11.09 11.22 11.38 11.77 295100007 Missouri 

St. Louis City 36 36.3 0.00 4.53 4.53 4.53 4.53 4.53 4.53 0.00 4.53 8.25 8.88 9.31 9.62 9.71 9.88 10.04 10.26 

421330008 Pennsylvania York 35.9 38.8 0.00 1.00 1.09 1.09 1.09 1.09 1.10 0.00 1.00 2.60 2.75 2.92 3.08 3.11 3.18 3.28 3.35 181570008 Indiana Tippecanoe 35.9 36.9 0.00 1.56 1.56 1.56 1.56 1.56 1.56 0.00 1.56 6.96 7.91 8.20 8.66 8.73 9.08 9.28 9.56 180830004 Indiana Knox 35.9 36.5 0.00 1.43 1.54 1.54 1.54 1.55 1.56 0.00 1.43 5.90 6.30 6.54 6.94 6.99 7.21 7.39 7.70 420030008 Pennsylvania Allegheny 35.9 36.3 0.00 0.98 0.98 0.98 0.98 0.98 0.98 0.00 0.98 3.77 3.94 4.15 4.51 4.56 4.71 4.87 4.97 360050080 New York Bronx 35.9 36.2 0.00 0.60 0.76 0.76 0.76 0.76 0.76 0.00 0.60 1.82 2.75 2.95 3.24 3.28 3.49 3.57 3.66 390610040 Ohio Hamilton 35.8 36.8 0.00 1.13 1.13 1.13 1.13 1.13 1.13 0.00 1.13 8.32 9.34 9.89 10.03 10.14 10.33 10.47 10.80 211110043 Kentucky Jefferson 35.8 36.4 0.00 1.86 1.86 1.86 1.86 1.86 1.86 0.00 1.86 6.51 7.26 7.99 8.22 8.38 8.51 8.68 8.90 420430401 Pennsylvania Dauphin 35.7 37.1 0.00 0.80 0.91 0.91 0.92 0.92 0.93 0.00 0.80 1.50 1.60 1.71 1.85 1.87 1.92 1.99 2.02 170310057 Illinois Cook 35.7 37 0.00 0.54 0.98 0.99 0.99 1.00 1.02 0.00 0.54 2.29 2.75 3.03 3.26 3.35 3.49 3.57 3.68 090091123 Connecticut New Haven 35.7 36.6 0.00 0.83 0.92 0.92 0.92 0.92 0.93 0.00 0.83 2.63 3.59 3.84 4.16 4.23 4.51 4.69 4.81 290990012 Missouri Jefferson 35.7 36.5 0.00 4.33 4.33 4.33 4.33 4.33 4.33 0.00 4.33 8.23 8.86 9.32 9.64 9.74 9.92 10.08 10.31 340171003 New Jersey Hudson 35.7 36.1 0.00 0.65 0.81 0.82 0.82 0.82 0.82 0.00 0.65 1.75 2.28 2.47 2.66 2.72 2.93 3.13 3.22 170312001 Illinois Cook 35.6 38.2 0.00 0.66 1.04 1.05 1.05 1.05 1.06 0.00 0.66 3.82 4.53 5.08 5.44 5.58 5.79 5.94 6.14 391530017 Ohio Summit 35.6 37.2 0.00 1.03 1.26 1.26 1.26 1.26 1.26 0.00 1.03 3.88 4.90 5.17 5.39 5.46 5.72 5.80 5.92 211110048 Kentucky Jefferson 35.6 36.4 0.00 1.66 1.66 1.66 1.66 1.66 1.66 0.00 1.66 5.54 6.18 6.74 6.92 7.05 7.15 7.28 7.45 291831002 Missouri 

Saint Charles 35.5 37.1 0.00 4.12 4.12 4.12 4.12 4.12 4.12 0.00 4.12 8.17 8.80 9.25 9.52 9.61 9.77 9.92 10.16 

245100049 Maryland 

Baltimore (City 35.5 35.5 0.00 0.65 0.85 0.85 0.85 0.85 0.86 0.00 0.65 1.11 1.52 1.62 1.71 1.74 1.86 1.91 1.95 

261630001 Michigan Wayne 35.4 37.8 0.00 1.41 1.52 1.52 1.52 1.53 1.53 0.00 1.41 6.16 7.12 7.61 8.20 8.31 8.71 8.97 9.27 360610062 New York New York 35.3 37 0.00 0.75 0.98 0.99 0.99 0.99 0.99 0.00 0.75 1.68 2.58 2.73 3.07 3.10 3.24 3.31 3.37 420410101 Pennsylvania Cumberland 35.3 37 0.00 0.76 0.81 0.82 0.82 0.82 0.82 0.00 0.76 1.52 1.60 1.71 1.81 1.83 1.87 1.92 1.95 
85 

390810017 Ohio Jefferson 35.3 36.8 0.00 0.93 0.96 0.96 0.96 0.96 0.97 0.00 0.93 4.30 5.33 5.61 5.80 5.87 6.12 6.20 6.30 171630010 Illinois Saint Clair 35.3 35.9 0.00 0.01 0.01 0.01 0.01 0.01 0.01 0.00 0.01 5.38 6.24 6.71 7.04 7.20 7.35 7.49 7.71 295100085 Missouri 

St. Louis City 35.3 35.7 0.00 4.34 4.34 4.34 4.34 4.34 4.34 0.00 4.34 7.87 8.29 8.70 8.92 9.01 9.10 9.23 9.44 

181670023 Indiana Vigo 35.1 36.5 0.00 1.94 2.10 2.10 2.10 2.11 2.12 0.00 1.94 6.15 6.66 6.88 7.24 7.30 7.51 7.66 7.90 550250047 Wisconsin Dane 35.1 36.1 0.00 2.03 2.24 2.26 2.26 2.27 2.28 0.00 2.03 4.08 4.64 4.92 5.17 5.26 5.40 5.48 5.60 471650007 Tennessee Sumner 35.1 36 0.00 1.80 1.80 1.80 1.80 1.80 1.80 0.00 1.80 7.63 8.37 8.97 9.35 9.48 9.70 9.92 10.29 171971002 Illinois Will 35.1 35.8 0.00 0.51 0.79 0.80 0.80 0.81 0.81 0.00 0.51 3.36 3.95 4.32 4.63 4.74 4.92 5.05 5.22 210290006 Kentucky Bullitt 35 36.3 0.00 2.00 2.00 2.00 2.00 2.00 2.00 0.00 2.00 6.78 7.56 8.19 8.48 8.63 8.80 8.97 9.18 170310022 Illinois Cook 34.9 36.6 0.00 0.60 1.18 1.19 1.19 1.20 1.21 0.00 0.60 3.28 3.74 4.33 4.50 4.64 4.71 4.83 5.01 551330027 Wisconsin Waukesha 34.9 35.6 0.00 2.04 2.15 2.16 2.16 2.16 2.16 0.00 2.04 4.43 4.98 5.31 5.58 5.67 5.83 5.94 6.08 550790059 Wisconsin Milwaukee 34.8 36.3 0.00 2.68 3.14 3.15 3.16 3.17 3.19 0.00 2.68 5.06 5.61 5.99 6.27 6.36 6.50 6.61 6.76 245100035 Maryland 

Baltimore (City) 34.7 35.5 0.00 0.61 0.78 0.78 0.78 0.78 0.79 0.00 0.61 1.03 1.39 1.48 1.56 1.59 1.70 1.74 1.78 

390350027 Ohio Cuyahoga 34.5 36.6 0.00 0.65 0.90 0.91 0.91 0.91 0.91 0.00 0.65 2.13 2.93 3.13 3.31 3.36 3.58 3.65 3.74 191390015 Iowa Muscatine 34.5 36 0.00 1.57 2.03 2.04 2.04 2.06 2.08 0.00 1.57 3.26 3.66 3.87 4.04 4.10 4.21 4.27 4.36 211451004 Kentucky McCracken 34.4 36.8 0.00 1.84 1.84 1.84 1.84 1.84 1.84 0.00 1.84 6.63 7.26 7.87 8.05 8.20 8.26 8.39 8.57 420030095 Pennsylvania Allegheny 34.3 36.6 0.00 1.17 1.27 1.27 1.27 1.27 1.27 0.00 1.17 4.15 4.35 4.61 5.00 5.05 5.23 5.40 5.54 180431004 Indiana Floyd 34.3 35.7 0.00 1.50 1.50 1.50 1.50 1.50 1.50 0.00 1.50 8.19 8.66 8.91 9.13 9.17 9.33 9.49 9.87 391130031 Ohio Montgomery 34.3 35.6 0.00 0.98 1.15 1.15 1.15 1.15 1.16 0.00 0.98 6.32 7.01 7.42 7.54 7.62 7.75 7.86 8.11 391351001 Ohio Preble 34.3 35.5 0.00 1.21 1.21 1.21 1.21 1.21 1.21 0.00 1.21 8.72 9.58 10.20 10.38 10.51 10.65 10.81 11.18 390950024 Ohio Lucas 34.2 36.5 0.00 1.04 1.48 1.48 1.48 1.48 1.49 0.00 1.04 3.27 3.86 4.13 4.37 4.43 4.58 4.65 4.76 360610079 New York New York 34.2 36.4 0.00 0.66 0.78 0.78 0.78 0.78 0.79 0.00 0.66 2.09 3.16 3.40 3.74 3.79 4.03 4.13 4.23 390990014 Ohio Mahoning 34.2 35.8 0.00 0.76 0.99 0.99 0.99 0.99 0.99 0.00 0.76 2.83 3.75 3.97 4.15 4.21 4.44 4.49 4.59 170310050 Illinois Cook 34.1 35.8 0.00 0.59 0.80 0.80 0.80 0.81 0.82 0.00 0.59 3.93 4.67 5.19 5.59 5.72 5.96 6.12 6.34 110010041 

District Of Columbia 

District Of Columbia 34 35.6 0.00 1.19 1.40 1.40 1.40 1.40 1.41 0.00 1.19 3.63 4.96 5.35 5.73 5.81 6.23 6.37 6.52 

540090005 

West Virginia Brooke 33.9 36.1 0.00 1.00 1.20 1.20 1.20 1.20 1.21 0.00 1.00 3.26 4.30 4.67 5.30 5.40 5.85 6.07 6.30 

391550007 Ohio Trumbull 33.9 35.6 0.00 0.78 0.99 0.99 0.99 0.99 1.00 0.00 0.78 3.02 4.05 4.27 4.46 4.52 4.78 4.84 4.93 421255001 Pennsylvania Washington 33.9 35.5 0.00 1.75 1.76 1.76 1.76 1.76 1.76 0.00 1.75 6.65 6.96 7.32 7.90 7.97 8.22 8.47 8.65 420033007 Pennsylvania Allegheny 33.8 38.5 0.00 1.37 1.37 1.37 1.37 1.37 1.37 0.00 1.37 5.44 5.71 6.02 6.53 6.60 6.82 7.04 7.21 240031003 Maryland 

Anne Arundel 33.8 36.7 0.00 0.90 1.27 1.28 1.28 1.28 1.29 0.00 0.90 2.59 3.70 3.95 4.21 4.27 4.60 4.70 4.81 

180390003 Indiana Elkhart 33.8 35.6 0.00 1.45 1.59 1.59 1.60 1.60 1.61 0.00 1.45 4.28 4.78 4.94 5.21 5.27 5.45 5.56 5.71 212270007 Kentucky Warren 33.7 36.3 0.00 2.28 2.28 2.28 2.28 2.28 2.28 0.00 2.28 8.58 9.43 10.04 10.36 10.49 10.65 10.80 11.00 390350034 Ohio Cuyahoga 33.7 35.7 0.00 0.76 1.00 1.01 1.01 1.01 1.01 0.00 0.76 2.70 3.48 3.73 3.93 3.99 4.20 4.27 4.38 170314007 Illinois Cook 33.6 35.7 0.00 0.54 0.76 0.77 0.77 0.78 0.79 0.00 0.54 3.96 4.61 5.07 5.40 5.53 5.72 5.87 6.07 390950026 Ohio Lucas 33.6 35.6 0.00 1.14 1.32 1.32 1.33 1.33 1.33 0.00 1.14 5.51 6.42 6.82 7.05 7.14 7.34 7.45 7.66 110010042 

District Of Columbia 

District Of Columbia 33 35.6 0.00 1.02 1.22 1.22 1.22 1.22 1.23 0.00 1.02 2.87 3.84 4.16 4.41 4.47 4.79 4.89 5.01 

*To calculate a total reduction when both NOx and SO2 have non-zero marginal costs, add the two values and then subtract the 2014 base case value. For example, for Al

$500/ton SO2 and $1000/ton NOx, add 4.39 and 1.11 for a total of 8.05, then subtract the base case value of 1.00. The resulting total reduction in concentration is 4.50 g
86 

Table 3-7. Reduction in Ozone Concentration (ppb) at Downwind Monitors from All States as a Function 

EGU NOx Emission Reductions at Various Marginal Costs per Ton of Reduction in 2012 Estimated Using 

Year 2012 2012 2012 2012 2012 2012 

NOx Marginal 

Cost per Ton $0 $500 $1,000 $1,500 $2,000 $2,500 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 Average 

Design Value

2012 Maximum 

Design Value 

482010055 Texas Harris 95.7 97.9 0.00 1.29 1.31 1.33 1.36 1.42 482010062 Texas Harris 90.5 93.7 0.00 1.35 1.40 1.42 1.46 1.51 482011039 Texas Harris 90.5 93.9 0.00 1.28 1.30 1.31 1.35 1.39 482010066 Texas Harris 89.9 93.5 0.00 1.14 1.16 1.17 1.21 1.25 480391004 Texas Brazoria 88.8 91 0.00 1.36 1.37 1.38 1.41 1.46 482010051 Texas Harris 88.4 93.1 0.00 1.19 1.21 1.23 1.26 1.31 220330003 Louisiana East Baton Rouge 87.8 91.6 0.00 1.28 1.31 1.33 1.33 1.32 361030002 New York Suffolk 86.3 87.2 0.00 0.03 0.06 0.12 0.21 0.27 421010024 Pennsylvania Philadelphia 85.3 86 0.00 0.02 0.04 0.15 0.29 0.40 361030009 New York Suffolk 85.1 85.8 0.00 0.01 0.03 0.08 0.15 0.20 484391002 Texas Tarrant 85.1 86.7 0.00 1.44 1.47 1.48 1.51 1.58 090011123 Connecticut Fairfield 84.8 86.4 0.00 0.03 0.04 0.08 0.13 0.18 361192004 New York Westchester 84.7 86.9 0.00 0.03 0.06 0.11 0.16 0.21 481130087 Texas Dallas 84.6 85.6 0.00 1.38 1.38 1.39 1.41 1.47 090013007 Connecticut Fairfield 84.5 86.4 0.00 0.03 0.04 0.08 0.13 0.17 131210055 Georgia Fulton 84.4 86.5 0.00 0.69 0.72 0.78 0.81 0.87 482010029 Texas Harris 84.4 85.6 0.00 1.13 1.21 1.22 1.25 1.30 484392003 Texas Tarrant 84 85.2 0.00 1.33 1.33 1.34 1.38 1.44 482011050 Texas Harris 83.9 86.5 0.00 1.18 1.19 1.20 1.23 1.27 482011015 Texas Harris 83.7 90.3 482010024 Texas Harris 83.3 87.1 0.00 1.07 1.11 1.12 1.15 1.19 090010017 Connecticut Fairfield 83.1 85 0.00 0.04 0.07 0.13 0.21 0.26 090093002 Connecticut New Haven 82.9 85.4 0.00 0.03 0.06 0.10 0.16 0.20 481130069 Texas Dallas 82.9 85.8 0.00 1.38 1.38 1.39 1.42 1.48 482011035 Texas Harris 82 90.3 420170012 Pennsylvania Bucks 81.8 85.6 0.00 0.02 0.04 0.14 0.25 0.35 130890002 Georgia DeKalb 81.6 85.6 0.00 0.67 0.70 0.75 0.78 0.83 
87 

Table 3-8. Reduction in Ozone Concentration (ppb) at Downwind Monitors from the State Containing the 

Function of Ozone Season EGU NOx Emission Reductions at Various Marginal Costs per Ton of ReductioUsing AQAT. 

Year 2012 2012 2012 2012 2012 2012 

NOx Marginal 

Cost per Ton $0 $500 $1,000 $1,500 $2,000 $2,500 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 Average 

Design Value

2012 Maximum 

Design Value

482010055 Texas Harris 95.7 97.9 0.00 0.75 0.76 0.76 0.78 0.83 482010062 Texas Harris 90.5 93.7 0.00 0.68 0.68 0.69 0.71 0.75 482011039 Texas Harris 90.5 93.9 0.00 0.67 0.68 0.68 0.70 0.74 482010066 Texas Harris 89.9 93.5 0.00 0.59 0.59 0.60 0.61 0.65 480391004 Texas Brazoria 88.8 91 0.00 0.75 0.75 0.75 0.77 0.82 482010051 Texas Harris 88.4 93.1 0.00 0.70 0.70 0.70 0.72 0.77 220330003 Louisiana East Baton Rouge 87.8 91.6 0.00 0.85 0.87 0.89 0.89 0.88 361030002 New York Suffolk 86.3 87.2 0.00 0.00 0.00 0.00 0.00 0.00 421010024 Pennsylvania Philadelphia 85.3 86 0.00 0.01 0.00 0.07 0.13 0.21 361030009 New York Suffolk 85.1 85.8 0.00 0.00 0.00 0.00 0.00 0.00 484391002 Texas Tarrant 85.1 86.7 0.00 0.94 0.94 0.94 0.97 1.03 090011123 Connecticut Fairfield 84.8 86.4 0.00 0.00 0.00 0.00 0.00 0.00 361192004 New York Westchester 84.7 86.9 0.00 0.00 0.00 0.00 0.00 0.01 481130087 Texas Dallas 84.6 85.6 0.00 0.86 0.86 0.86 0.89 0.94 090013007 Connecticut Fairfield 84.5 86.4 0.00 0.00 0.00 0.00 0.00 0.00 131210055 Georgia Fulton 84.4 86.5 0.00 0.54 0.53 0.58 0.59 0.64 482010029 Texas Harris 84.4 85.6 0.00 0.72 0.72 0.73 0.75 0.79 484392003 Texas Tarrant 84 85.2 0.00 0.90 0.90 0.91 0.93 0.99 482011050 Texas Harris 83.9 86.5 0.00 0.69 0.70 0.70 0.72 0.76 482011015 Texas Harris 83.7 90.3 482010024 Texas Harris 83.3 87.1 0.00 0.64 0.64 0.64 0.66 0.70 090010017 Connecticut Fairfield 83.1 85 0.00 0.00 0.00 0.00 0.00 0.00 090093002 Connecticut New Haven 82.9 85.4 0.00 0.00 0.00 0.00 0.00 0.00 481130069 Texas Dallas 82.9 85.8 0.00 0.86 0.86 0.87 0.89 0.95 482011035 Texas Harris 82 90.3 420170012 Pennsylvania Bucks 81.8 85.6 0.00 0.01 0.00 0.05 0.09 0.15 130890002 Georgia DeKalb 81.6 85.6 0.00 0.52 0.51 0.56 0.57 0.62 
88 

Table 3-9. Reduction in Ozone Concentration (ppb) at Downwind Monitors from the States Upwind of the 

Function of Ozone Season EGU NOx Emission Reductions at Various Marginal Costs per Ton of ReductioUsing AQAT. 

Year 2012 2012 2012 2012 2012 2012 

NOx Marginal 

Cost per Ton $0 $500 $1,000 $1,500 $2,000 $2,500 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 Average 

Design Value

2012 Maximum 

Design Value

482010055 Texas Harris 95.7 97.9 0.00 0.53 0.55 0.57 0.58 0.59 482010062 Texas Harris 90.5 93.7 0.00 0.67 0.72 0.74 0.75 0.76 482011039 Texas Harris 90.5 93.9 0.00 0.60 0.62 0.63 0.65 0.65 482010066 Texas Harris 89.9 93.5 0.00 0.55 0.57 0.58 0.59 0.59 480391004 Texas Brazoria 88.8 91 0.00 0.61 0.62 0.63 0.64 0.64 482010051 Texas Harris 88.4 93.1 0.00 0.49 0.51 0.52 0.54 0.55 220330003 Louisiana East Baton Rouge 87.8 91.6 0.00 0.43 0.44 0.44 0.44 0.44 361030002 New York Suffolk 86.3 87.2 0.00 0.03 0.06 0.12 0.21 0.26 421010024 Pennsylvania Philadelphia 85.3 86 0.00 0.01 0.05 0.08 0.17 0.19 361030009 New York Suffolk 85.1 85.8 0.00 0.01 0.03 0.08 0.15 0.19 484391002 Texas Tarrant 85.1 86.7 0.00 0.50 0.53 0.54 0.55 0.55 090011123 Connecticut Fairfield 84.8 86.4 0.00 0.03 0.04 0.08 0.13 0.17 361192004 New York Westchester 84.7 86.9 0.00 0.03 0.06 0.10 0.16 0.21 481130087 Texas Dallas 84.6 85.6 0.00 0.52 0.52 0.53 0.53 0.53 090013007 Connecticut Fairfield 84.5 86.4 0.00 0.03 0.04 0.08 0.13 0.17 131210055 Georgia Fulton 84.4 86.5 0.00 0.15 0.19 0.20 0.22 0.22 482010029 Texas Harris 84.4 85.6 0.00 0.41 0.48 0.50 0.50 0.51 484392003 Texas Tarrant 84 85.2 0.00 0.43 0.43 0.44 0.44 0.45 482011050 Texas Harris 83.9 86.5 0.00 0.49 0.50 0.50 0.51 0.51 482011015 Texas Harris 83.7 90.3 482010024 Texas Harris 83.3 87.1 0.00 0.43 0.47 0.48 0.49 0.49 090010017 Connecticut Fairfield 83.1 85 0.00 0.04 0.07 0.13 0.21 0.26 090093002 Connecticut New Haven 82.9 85.4 0.00 0.03 0.05 0.10 0.16 0.20 481130069 Texas Dallas 82.9 85.8 0.00 0.52 0.52 0.52 0.53 0.53 482011035 Texas Harris 82 90.3 420170012 Pennsylvania Bucks 81.8 85.6 0.00 0.01 0.05 0.09 0.16 0.20 130890002 Georgia DeKalb 81.6 85.6 0.00 0.15 0.19 0.19 0.21 0.21 
89 

Table 3-10. Reduction in Ozone Concentration (ppb) at Downwind Monitors from All States as a Function 

EGU NOx Emission Reductions at Various Marginal Costs per Ton of Reduction in 2014 Estimated Using 

Year 2012 2014 2014 2014 2014 2014 2014 

NOx Marginal 

Cost per Ton $0 $0 $500 $1,000 $1,500 $2,000 $2,500 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 

Average 

Design Value

2012 Maximum 

Design Value

482010055 Texas Harris 95.7 97.9 0.00 4.78 5.99 6.04 6.07 6.11 6.18 482010062 Texas Harris 90.5 93.7 0.00 4.57 5.84 5.91 5.94 5.98 6.04 482011039 Texas Harris 90.5 93.9 0.00 4.40 5.61 5.65 5.67 5.71 5.77 482010066 Texas Harris 89.9 93.5 0.00 4.17 5.25 5.28 5.30 5.34 5.39 480391004 Texas Brazoria 88.8 91 0.00 4.43 5.72 5.76 5.78 5.83 5.90 482010051 Texas Harris 88.4 93.1 0.00 4.42 5.53 5.58 5.60 5.64 5.71 220330003 Louisiana East Baton Rouge 87.8 91.6 0.00 2.93 4.15 4.15 4.15 4.16 4.16 361030002 New York Suffolk 86.3 87.2 0.00 3.72 3.79 3.90 4.11 4.15 4.25 421010024 Pennsylvania Philadelphia 85.3 86 0.00 3.58 3.66 3.86 4.04 4.02 4.15 361030009 New York Suffolk 85.1 85.8 0.00 3.63 3.69 3.78 3.93 3.97 4.04 484391002 Texas Tarrant 85.1 86.7 0.00 4.40 5.72 5.80 5.82 5.87 5.98 090011123 Connecticut Fairfield 84.8 86.4 0.00 4.04 4.10 4.18 4.35 4.38 4.45 361192004 New York Westchester 84.7 86.9 0.00 3.89 3.96 4.05 4.24 4.28 4.35 481130087 Texas Dallas 84.6 85.6 0.00 4.05 5.32 5.37 5.39 5.43 5.53 090013007 Connecticut Fairfield 84.5 86.4 0.00 4.04 4.11 4.20 4.38 4.40 4.47 131210055 Georgia Fulton 84.4 86.5 0.00 9.37 10.01 10.11 10.19 10.21 10.20 482010029 Texas Harris 84.4 85.6 0.00 3.90 4.93 5.05 5.06 5.10 5.17 484392003 Texas Tarrant 84 85.2 0.00 4.32 5.55 5.60 5.62 5.66 5.76 482011050 Texas Harris 83.9 86.5 0.00 4.06 5.17 5.21 5.23 5.27 5.33 482011015 Texas Harris 83.7 90.3 482010024 Texas Harris 83.3 87.1 0.00 3.75 4.75 4.81 4.82 4.86 4.92 090010017 Connecticut Fairfield 83.1 85 0.00 3.65 3.73 3.83 4.03 4.07 4.16 090093002 Connecticut New Haven 82.9 85.4 0.00 4.18 4.25 4.34 4.53 4.56 4.63 481130069 Texas Dallas 82.9 85.8 0.00 4.00 5.29 5.34 5.36 5.40 5.51 482011035 Texas Harris 82 90.3 420170012 Pennsylvania Bucks 81.8 85.6 0.00 3.38 3.45 3.61 3.77 3.78 3.89 130890002 Georgia DeKalb 81.6 85.6 0.00 9.06 9.68 9.77 9.85 9.86 9.86 
90 

Table 3-11. Reduction in Ozone Concentration (ppb) at Downwind Monitors from the State Containing th

Function of Ozone Season EGU NOx Emission Reductions at Various Marginal Costs per Ton of ReductioUsing AQAT. 

Year 2012 2014 2014 2014 2014 2014 2014 

NOx Marginal 

Cost per Ton $0 $0 $500 $1,000 $1,500 $2,000 $2,500 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 Average 

Design Value

2012 Maximum 

Design Value

482010055 Texas Harris 95.7 97.9 0.00 2.82 3.50 3.54 3.55 3.58 3.65 482010062 Texas Harris 90.5 93.7 0.00 2.55 3.16 3.20 3.21 3.24 3.30 482011039 Texas Harris 90.5 93.9 0.00 2.52 3.12 3.16 3.17 3.20 3.26 482010066 Texas Harris 89.9 93.5 0.00 2.21 2.75 2.78 2.79 2.82 2.87 480391004 Texas Brazoria 88.8 91 0.00 2.79 3.46 3.51 3.51 3.55 3.62 482010051 Texas Harris 88.4 93.1 0.00 2.60 3.23 3.27 3.28 3.31 3.37 220330003 Louisiana East Baton Rouge 87.8 91.6 0.00 2.13 2.91 2.91 2.90 2.90 2.90 361030002 New York Suffolk 86.3 87.2 0.00 1.24 1.26 1.27 1.34 1.34 1.35 421010024 Pennsylvania Philadelphia 85.3 86 0.00 1.45 1.55 1.69 1.70 1.65 1.70 361030009 New York Suffolk 85.1 85.8 0.00 1.09 1.10 1.12 1.18 1.18 1.18 484391002 Texas Tarrant 85.1 86.7 0.00 3.49 4.34 4.39 4.40 4.44 4.53 090011123 Connecticut Fairfield 84.8 86.4 0.00 0.59 0.59 0.59 0.59 0.59 0.59 361192004 New York Westchester 84.7 86.9 0.00 1.78 1.80 1.82 1.92 1.92 1.93 481130087 Texas Dallas 84.6 85.6 0.00 3.20 3.97 4.02 4.03 4.06 4.14 090013007 Connecticut Fairfield 84.5 86.4 0.00 0.55 0.55 0.55 0.55 0.55 0.55 131210055 Georgia Fulton 84.4 86.5 0.00 8.24 8.74 8.80 8.86 8.86 8.85 482010029 Texas Harris 84.4 85.6 0.00 2.69 3.34 3.38 3.39 3.42 3.49 484392003 Texas Tarrant 84 85.2 0.00 3.36 4.17 4.22 4.23 4.27 4.36 482011050 Texas Harris 83.9 86.5 0.00 2.59 3.22 3.26 3.26 3.29 3.36 482011015 Texas Harris 83.7 90.3 482010024 Texas Harris 83.3 87.1 0.00 2.38 2.96 3.00 3.01 3.03 3.09 090010017 Connecticut Fairfield 83.1 85 0.00 0.21 0.21 0.21 0.21 0.21 0.21 090093002 Connecticut New Haven 82.9 85.4 0.00 0.64 0.64 0.64 0.64 0.64 0.64 481130069 Texas Dallas 82.9 85.8 0.00 3.21 3.99 4.04 4.05 4.08 4.16 482011035 Texas Harris 82 90.3 420170012 Pennsylvania Bucks 81.8 85.6 0.00 1.06 1.13 1.23 1.23 1.20 1.24 130890002 Georgia DeKalb 81.6 85.6 0.00 7.96 8.45 8.50 8.56 8.56 8.56 
91 

Table 3-12. Reduction in Ozone Concentration (ppb) at Downwind Monitors from the States Upwind of th

Function of Ozone Season EGU NOx Emission Reductions at Various Marginal Costs per Ton of ReductioUsing AQAT. 

Year 2012 2014 2014 2014 2014 2014 2014 

NOx Marginal 

Cost per Ton $0 $0 $500 $1,000 $1,500 $2,000 $2,500 

Monitor 

Identification 

Number

Receptor State

Receptor County

2012 Average 

Design Value

2012 Maximum 

Design Value

482010055 Texas Harris 95.7 97.9 0.00 1.97 2.49 2.50 2.52 2.53 2.53 482010062 Texas Harris 90.5 93.7 0.00 2.02 2.68 2.71 2.73 2.74 2.74 482011039 Texas Harris 90.5 93.9 0.00 1.89 2.48 2.49 2.50 2.51 2.51 482010066 Texas Harris 89.9 93.5 0.00 1.95 2.50 2.50 2.51 2.52 2.52 480391004 Texas Brazoria 88.8 91 0.00 1.64 2.26 2.26 2.27 2.28 2.28 482010051 Texas Harris 88.4 93.1 0.00 1.82 2.30 2.31 2.33 2.34 2.34 220330003 Louisiana East Baton Rouge 87.8 91.6 0.00 0.80 1.24 1.25 1.25 1.26 1.26 361030002 New York Suffolk 86.3 87.2 0.00 2.47 2.53 2.63 2.77 2.80 2.89 421010024 Pennsylvania Philadelphia 85.3 86 0.00 2.12 2.11 2.17 2.34 2.36 2.45 361030009 New York Suffolk 85.1 85.8 0.00 2.54 2.58 2.67 2.76 2.79 2.86 484391002 Texas Tarrant 85.1 86.7 0.00 0.91 1.39 1.41 1.42 1.43 1.44 090011123 Connecticut Fairfield 84.8 86.4 0.00 3.45 3.52 3.60 3.77 3.79 3.86 361192004 New York Westchester 84.7 86.9 0.00 2.11 2.16 2.23 2.32 2.35 2.42 481130087 Texas Dallas 84.6 85.6 0.00 0.85 1.36 1.36 1.36 1.37 1.39 090013007 Connecticut Fairfield 84.5 86.4 0.00 3.49 3.56 3.65 3.83 3.85 3.92 131210055 Georgia Fulton 84.4 86.5 0.00 1.13 1.27 1.32 1.33 1.35 1.35 482010029 Texas Harris 84.4 85.6 0.00 1.21 1.59 1.67 1.67 1.68 1.68 484392003 Texas Tarrant 84 85.2 0.00 0.96 1.38 1.38 1.38 1.39 1.40 482011050 Texas Harris 83.9 86.5 0.00 1.47 1.96 1.96 1.97 1.97 1.98 482011015 Texas Harris 83.7 90.3 482010024 Texas Harris 83.3 87.1 0.00 1.37 1.78 1.81 1.82 1.83 1.83 090010017 Connecticut Fairfield 83.1 85 0.00 3.44 3.52 3.62 3.82 3.85 3.95 090093002 Connecticut New Haven 82.9 85.4 0.00 3.54 3.62 3.71 3.89 3.92 4.00 481130069 Texas Dallas 82.9 85.8 0.00 0.79 1.31 1.31 1.31 1.32 1.34 482011035 Texas Harris 82 90.3 420170012 Pennsylvania Bucks 81.8 85.6 0.00 2.32 2.33 2.38 2.54 2.57 2.65 130890002 Georgia DeKalb 81.6 85.6 0.00 1.10 1.23 1.27 1.29 1.30 1.30 
92 

Table 3-13. Estimated Number of Nonattainment and/or Maintenance Monitor 

Sites in 2014 for Annual PM2.5 (as a Function of SO2 Marginal Cost per Ton 

Levels). 

2014 2014 

Marginal 

Cost per 

Ton 

Number of 

Remaining 

Nonattainment 

Monitor Sites 

Number of 

Remaining 

Nonattainment and 

Maintenance 

Monitor Sites 

>$0 12 19 

>$100 3 6 

>$200 2 3 

>$300 2 3 

>$400 1 2 

>$500 1 2 

>$600 1 1 

>$800 1 1 

>$1,000 1 1 

>$1,200 1 1 

>$1,400 1 1 

>$1,600 1 1 

>$1,800 0 1 

>$2,000 0 1 

>$2,400 0 1 
93 

Table 3-14. Estimated Number of Nonattainment and/or Maintenance Monitor 

Sites in 2014 for Daily PM2.5 (as a Function of SO2 Marginal Cost per Ton Levels). 

2014 2014 

Marginal 

Cost per 

Ton 

Number of 

Remaining 

Nonattainment 

Monitor Sites 

Number of 

Remaining 

Nonattainment and 

Maintenance 

Monitor Sites 

>$0 39 64 

>$100 5 16 

>$200 2 12 

>$300 2 8 

>$400 1 6 

>$500 1 6 

>$600 1 6 

>$800 1 6 

>$1,000 1 6 

>$1,200 1 6 

>$1,400 1 6 

>$1,600 1 5 

>$1,800 1 4 

>$2,000 1 3 

>$2,400 1 1 
94 

Table 3-15. Estimated Number of Nonattainment and/or Maintenance Monitor 

Sites in 2014 for Ozone Season (as a Function of Ozone Season NOx Marginal Cost 

per Ton Levels). 

2012 2012 2014 2014 

Marginal 

Cost per 

Ton 

Number of 

Remaining 

Nonattainment 

Monitor Sites 

Number of 

Remaining 

Nonattainment 

and Maintenance 

Monitor Sites 

Number of 

Remaining 

Nonattainment 

Monitor Sites 

Number of 

Remaining 

Nonattainment 

and Maintenance 

Monitor Sites 

>$0 11 25* 4 7 

>$500 10 19 1 7 

>$1,000 10 19 1 7 

>$1,500 10 19 1 7 

>$2,000 9 19 1 7 

>$2,500 8 19 1 7 

>$3,000 8 19 1 7 

>$3,500 8 19 1 6 

>$5,000 8 16 1 6 

* The value 25 in the 2012 nonattainment and maintenance column includes the 24 receptors in Table 3-3 with non-zero marginal cost 

per ton values as well as monitor number 090010017 from Fairfield, CT which has a 2012 maximum design value of 85.0 (and a 

marginal cost per ton value of $0/ton). 
95 

Table 3-16. Average Air Quality Improvement (g/m3) as a Function of SO2 Marginal Cost per Ton of ReEGUs) in 2014 Estimated Using the AQAT for Daily PM2.5 Referenced Either to the 2012 or 2014 Base CaSO2 Marginal Cost per Ton $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,

Reference 

Year 

All Daily Sites 2012 Base 1.3 5.0 5.7 6.0 6.3 6.4 6.6 6.7 6.9 7.0 7.1 

 2014 Base 0.0 3.7 4.4 4.7 5.0 5.1 5.3 5.4 5.6 5.7 5.8 

6 Sites* 2012 Base 1.1 3.1 3.5 3.7 4.0 4.1 4.2 4.3 4.5 4.5 4.6 

 2014 Base 0.0 2.0 2.4 2.6 2.9 3.0 3.1 3.3 3.4 3.4 3.5  2012 Base 1.1 2.9 3.2 3.4 3.7 3.8 3.9 4.0 4.1 4.1 4.2 

3 Sites** 2014 Base 0.0 1.8 2.1 2.3 2.6 2.6 2.8 2.9 3.0 3.0 3.1 *Monitor identification numbers 420030064, 420030093, 170311016, 261630016, 180890022, 245100040, located in Allegheny, PA (2 monitors); Cook, IL; Wayne, M

MD. **Monitor identification numbers 420030064, 180890022, 170311016 located in Allegheny, PA; Lake County, IN; and Cook, IL;. 
96 

Table 3-17. Using AQAT, the Estimated Annual PM2.5 Average and Maximum Design Values (DV) in 201When Emission Reductions at $500/Ton NOx and $2,000/Ton SO2 Marginal Costs per Ton Emissions are 

Upwind and When the Proposed Remedy is Applied. 

2012 

Base 

2012 

Base 

$500/Ton 

NOx and 

$2,000/Ton 

SO2

$500/Ton 

NOx and 

$2,000/Ton 

SO2

Proposed 

Remedy 

Proposed 

Remedy 

Monitor 

Identification 

Number

Receptor State

Receptor County

Avg. 

DV

Max. 

DV Avg. DV Max. DV Avg. DV Max. DV 

420030064 Pennsylvania Allegheny 18.9 19.31 14.96 15.37 14.86 15.27 010730023 Alabama Jefferson 17.15 17.32 13.92 14.09 14.29 14.46 390618001 Ohio Hamilton 16.93 17.27 12.50 12.84 12.43 12.77 390610014 Ohio Hamilton 16.69 16.93 12.19 12.43 12.10 12.34 261630033 Michigan Wayne 16.57 17.19 13.86 14.48 13.79 14.41 171191007 Illinois Madison 16.56 16.85 13.57 13.86 13.48 13.77 390610042 Ohio Hamilton 16.33 16.71 11.81 12.19 11.74 12.12 390350038 Ohio Cuyahoga 16.26 16.95 12.64 13.33 12.51 13.20 390350060 Ohio Cuyahoga 16.02 16.54 12.42 12.94 12.31 12.83 131210039 Georgia Fulton 16.01 16.04 12.89 12.92 12.95 12.98 010732003 Alabama Jefferson 15.99 16.35 13.21 13.57 13.39 13.75 180190006 Indiana Clark 15.96 16.16 11.28 11.48 11.30 11.50 180970081 Indiana Marion 15.93 16.24 11.48 11.79 11.46 11.77 180970083 Indiana Marion 15.77 16.15 11.32 11.70 11.29 11.67 390617001 Ohio Hamilton 15.65 16.03 11.17 11.55 11.08 11.46 171630010 Illinois Saint Clair 15.48 15.63 12.56 12.71 12.47 12.62 390350045 Ohio Cuyahoga 15.42 15.91 11.74 12.23 11.63 12.12 130210007 Georgia Bibb 15.33 15.61 12.63 12.91 12.74 13.02 540391005 West Virginia Kanawha 15.28 15.34 11.19 11.25 11.14 11.20 390170016 Ohio Butler 15.25 15.61 10.99 11.35 10.91 11.27 421330008 Pennsylvania York 15.25 15.93 12.00 12.68 11.85 12.53 540110006 West Virginia Cabell 15.25 15.5 11.19 11.44 11.14 11.39 420070014 Pennsylvania Beaver 15.23 15.3 11.69 11.76 11.58 11.65 211110043 Kentucky Jefferson 15.19 15.41 10.40 10.62 10.43 10.65 420710007 Pennsylvania Lancaster 15.18 16.01 11.97 12.80 11.83 12.66 180970078 Indiana Marion 15.18 15.35 10.73 10.90 10.71 10.88 170310052 Illinois Cook 15.16 15.42 12.84 13.10 12.71 12.97 420031301 Pennsylvania Allegheny 15.13 15.42 11.11 11.40 11.01 11.30 130630091 Georgia Clayton 15.07 15.29 12.02 12.24 12.11 12.33 180372001 Indiana Dubois 15.07 15.57 9.97 10.47 10.05 10.55 261630015 Michigan Wayne 15.05 15.55 12.43 12.93 12.36 12.86 390610043 Ohio Hamilton 15.05 15.32 10.83 11.10 10.75 11.02 
97 

390610040 Ohio Hamilton 15.03 15.4 10.48 10.85 10.39 10.76 391130032 Ohio Montgomery 15.01 15.37 11.20 11.56 11.12 11.48 391510017 Ohio Stark 14.99 15.4 11.15 11.56 11.10 11.51 360610056 New York New York 14.98 15.74 13.23 13.99 12.96 13.72 390350065 Ohio Cuyahoga 14.96 15.4 11.35 11.79 11.23 11.67 540030003 West Virginia Berkeley 14.95 15.2 11.91 12.16 11.72 11.97 540490006 West Virginia Marion 14.96 15.18 10.41 10.63 10.33 10.55 390811001 Ohio Jefferson 14.95 15.54 10.83 11.42 10.70 11.29 540090005 West Virginia Brooke 14.95 15.22 10.93 11.20 10.81 11.08 211110044 Kentucky Jefferson 14.93 15.09 10.25 10.41 10.28 10.44 170316005 Illinois Cook 14.92 15.48 12.49 13.05 12.35 12.91 482011035 Texas Harris 14.74 15.14 14.33 14.73 14.55 14.95 170313301 Illinois Cook 14.73 15.06 12.29 12.62 12.15 12.48 390350027 Ohio Cuyahoga 14.5 15.13 10.91 11.54 10.80 11.43 540291004 West Virginia Hancock 14.34 15.15 10.41 11.22 10.27 11.08 
98 

Table 3-18. Using AQAT, the Estimated Daily PM2.5 Average and Maximum Design Values (DV) in 2014 f

When Emission Reductions at $500/Ton NOx and $2,000/Ton SO2 Marginal Costs per Ton Emissions are Upwind and When the Proposed Remedy is Applied. 

2012 

Base 

2012 

Base 

$500/Ton 

NOx and 

$2000/Ton 

SO2

$500/Ton 

NOx and 

$2000/Ton 

SO2

Proposed 

Remedy 

Proposed 

Remedy 

Monitor 

Identification 

Number

Receptor State

Receptor County

Avg. 

DV

Max. 

DV Avg. DV Max. DV Avg. DV Max. DV

420030064 Pennsylvania Allegheny 58.8 62.3 50.06 53.56 49.72 53.22 261630033 Michigan Wayne 42.1 42.6 31.78 32.28 31.79 32.29 390350038 Ohio Cuyahoga 41.2 44 27.56 30.36 27.43 30.23 420030093 Pennsylvania Allegheny 41.1 46.2 29.84 34.94 29.64 34.74 170311016 Illinois Cook 41 44.1 32.54 35.64 32.36 35.46 261630016 Michigan Wayne 40.6 43 32.58 34.98 32.35 34.75 180970043 Indiana Marion 40.5 42 22.84 24.34 22.92 24.42 390170003 Ohio Butler 40.3 42.3 20.10 22.10 20.15 22.15 180970066 Indiana Marion 40.3 41.8 22.45 23.95 22.61 24.11 420210011 Pennsylvania Cambria 40.3 40.7 22.92 23.32 22.87 23.27 180970081 Indiana Marion 40.1 41.1 23.35 24.35 23.40 24.40 010730023 Alabama Jefferson 40 40.7 31.48 32.18 32.67 33.37 171191007 Illinois Madison 40 40.6 29.80 30.40 29.85 30.45 540090011 West Virginia Brooke 39.9 40.8 31.34 32.24 30.97 31.87 390618001 Ohio Hamilton 39.6 40.3 25.69 26.39 25.86 26.56 390350060 Ohio Cuyahoga 39.4 42.8 28.87 32.27 28.61 32.01 171190023 Illinois Madison 39.4 40.2 26.02 26.82 26.12 26.92 180970083 Indiana Marion 39 39.3 20.69 20.99 20.84 21.14 550790043 Wisconsin Milwaukee 38.8 39.7 28.96 29.86 28.85 29.75 180970078 Indiana Marion 38.7 39.7 21.13 22.13 21.20 22.20 261630019 Michigan Wayne 38.6 39.1 31.64 32.14 31.34 31.84 170310052 Illinois Cook 38.5 39.7 30.63 31.83 30.42 31.62 261630015 Michigan Wayne 38.5 39.1 27.14 27.74 27.31 27.91 390170017 Ohio Butler 38.5 38.5 21.85 21.85 21.89 21.89 261470005 Michigan St. Clair 38.4 39.4 30.55 31.55 30.43 31.43 170313301 Illinois Cook 38.2 41 29.30 32.10 29.19 31.99 340172002 New Jersey Hudson 38.2 38.2 33.84 33.84 32.98 32.98 180190006 Indiana Clark 38.1 40.2 24.14 26.24 24.17 26.27 261610008 Michigan Washtenaw 38.1 39.8 27.83 29.53 27.76 29.46 010732003 Alabama Jefferson 38.1 38.9 31.94 32.74 32.69 33.49 
99 

170313103 Illinois Cook 38.1 38.7 31.12 31.72 30.75 31.35 420031008 Pennsylvania Allegheny 38 39.3 24.84 26.14 24.68 25.98 390610006 Ohio Hamilton 38 38 20.83 20.83 20.99 20.99 261250001 Michigan Oakland 37.9 38.4 26.75 27.25 26.71 27.21 390171004 Ohio Butler 37.8 38.6 21.28 22.08 21.34 22.14 420710007 Pennsylvania Lancaster 37.7 40.1 31.64 34.04 31.13 33.53 420070014 Pennsylvania Beaver 37.7 39.1 27.62 29.02 27.20 28.60 550790010 Wisconsin Milwaukee 37.7 39 31.45 32.75 31.30 32.60 390617001 Ohio Hamilton 37.7 38.1 21.38 21.78 21.40 21.80 390610014 Ohio Hamilton 37.5 38.5 21.79 22.79 22.04 23.04 390170016 Ohio Butler 37.5 37.8 21.18 21.48 21.16 21.46 170316005 Illinois Cook 37.4 39.8 29.84 32.24 29.67 32.07 180890022 Indiana Lake 37.3 42.1 30.98 35.78 30.54 35.34 180970079 Indiana Marion 37.2 38.3 19.73 20.83 19.85 20.95 171192009 Illinois Madison 37.2 38.2 24.56 25.56 24.60 25.60 390610042 Ohio Hamilton 37.2 38 22.38 23.18 22.36 23.16 360610056 New York New York 37.1 38 32.45 33.35 31.67 32.57 420030116 Pennsylvania Allegheny 37.1 37.1 25.74 25.74 25.76 25.76 261150005 Michigan Monroe 37 38 24.13 25.13 24.26 25.26 210590005 Kentucky Daviess 37 37 18.33 18.33 18.25 18.25 550790099 Wisconsin Milwaukee 36.8 37.7 29.38 30.28 29.24 30.14 191630019 Iowa Scott 36.8 36.8 22.92 22.92 23.06 23.06 340390004 New Jersey Union 36.7 37.2 30.80 31.30 30.58 31.08 420031301 Pennsylvania Allegheny 36.6 38.6 25.34 27.34 25.21 27.21 471251009 Tennessee Montgomery 36.6 37.9 22.24 23.54 22.20 23.50 390490024 Ohio Franklin 36.6 37.6 24.63 25.63 24.62 25.62 390811001 Ohio Jefferson 36.5 39.9 25.97 29.37 25.87 29.27 390350065 Ohio Cuyahoga 36.5 38.9 25.20 27.60 25.07 27.47 180372001 Indiana Dubois 36.5 38 21.05 22.55 21.04 22.54 171193007 Illinois Madison 36.5 37.3 22.88 23.68 23.02 23.82 295100087 Missouri 

St. Louis City 36.4 36.9 23.59 24.09 23.65 24.15 

550790026 Wisconsin Milwaukee 36.3 40.1 30.00 33.80 29.85 33.65 180890026 Indiana Lake 36.3 39.3 28.44 31.44 28.30 31.30 391130032 Ohio Montgomery 36.3 38.5 18.88 21.08 18.91 21.11 245100040 Maryland 

Baltimore (City 36.3 38.3 33.48 35.48 32.88 34.88 

170310076 Illinois Cook 36.3 37.3 26.26 27.26 26.18 27.18 180970042 Indiana Marion 36.3 37.2 18.24 19.14 18.39 19.29 261630036 Michigan Wayne 36.3 36.9 26.84 27.44 26.80 27.40 
100 

360610128 New York New York 36.2 38 28.68 30.48 28.36 30.16 390490025 Ohio Franklin 36.1 36.4 24.55 24.85 24.49 24.79 390350045 Ohio Cuyahoga 36 39 24.22 27.22 24.16 27.16 211110044 Kentucky Jefferson 36 36.5 21.33 21.83 21.42 21.92 390610043 Ohio Hamilton 36 36.4 19.33 19.73 19.33 19.73 295100007 Missouri 

St. Louis City 36 36.3 21.39 21.69 21.66 21.96 

421330008 Pennsylvania York 35.9 38.8 25.24 28.14 25.14 28.04 181570008 Indiana Tippecanoe 35.9 36.9 21.82 22.82 21.74 22.74 180830004 Indiana Knox 35.9 36.5 22.49 23.09 22.43 23.03 420030008 Pennsylvania Allegheny 35.9 36.3 26.80 27.20 26.63 27.03 360050080 New York Bronx 35.9 36.2 30.30 30.60 29.75 30.05 390610040 Ohio Hamilton 35.8 36.8 19.65 20.65 19.65 20.65 211110043 Kentucky Jefferson 35.8 36.4 20.75 21.35 20.80 21.40 420430401 Pennsylvania Dauphin 35.7 37.1 28.33 29.73 27.95 29.35 170310057 Illinois Cook 35.7 37 27.81 29.11 27.65 28.95 090091123 Connecticut New Haven 35.7 36.6 29.70 30.60 29.35 30.25 290990012 Missouri Jefferson 35.7 36.5 21.44 22.24 21.69 22.49 340171003 New Jersey Hudson 35.7 36.1 30.51 30.91 30.03 30.43 170312001 Illinois Cook 35.6 38.2 26.33 28.93 26.22 28.82 391530017 Ohio Summit 35.6 37.2 23.94 25.54 23.77 25.37 211110048 Kentucky Jefferson 35.6 36.4 22.39 23.19 22.45 23.25 291831002 Missouri 

Saint Charles 35.5 37.1 21.97 23.57 22.07 23.67 

245100049 Maryland 

Baltimore (City) 35.5 35.5 32.66 32.66 32.13 32.13 

261630001 Michigan Wayne 35.4 37.8 24.02 26.42 23.84 26.24 360610062 New York New York 35.3 37 30.32 32.02 29.84 31.54 420410101 Pennsylvania Cumberland 35.3 37 29.08 30.78 28.57 30.27 390810017 Ohio Jefferson 35.3 36.8 24.67 26.17 24.67 26.17 171630010 Illinois Saint Clair 35.3 35.9 22.35 22.95 22.41 23.01 295100085 Missouri 

St. Louis City 35.3 35.7 21.74 22.14 21.74 22.14 

181670023 Indiana Vigo 35.1 36.5 20.98 22.38 21.02 22.42 550250047 Wisconsin Dane 35.1 36.1 28.34 29.34 28.13 29.13 471650007 Tennessee Sumner 35.1 36 19.11 20.01 19.12 20.02 171971002 Illinois Will 35.1 35.8 26.22 26.92 26.24 26.94 210290006 Kentucky Bullitt 35 36.3 19.52 20.82 19.53 20.83 170310022 Illinois Cook 34.9 36.6 27.28 28.98 27.07 28.77 551330027 Wisconsin Waukesha 34.9 35.6 27.86 28.56 27.72 28.42 550790059 Wisconsin Milwaukee 34.8 36.3 26.46 27.96 26.45 27.95 
101 

245100035 Maryland 

Baltimore (City) 34.7 35.5 32.10 32.90 31.53 32.33 

390350027 Ohio Cuyahoga 34.5 36.6 24.88 26.98 24.65 26.75 191390015 Iowa Muscatine 34.5 36 28.61 30.11 28.67 30.17 211451004 Kentucky McCracken 34.4 36.8 21.24 23.64 20.93 23.33 420030095 Pennsylvania Allegheny 34.3 36.6 24.56 26.86 24.15 26.45 180431004 Indiana Floyd 34.3 35.7 18.97 20.37 19.08 20.48 391130031 Ohio Montgomery 34.3 35.6 21.54 22.84 21.49 22.79 391351001 Ohio Preble 34.3 35.5 18.17 19.37 18.21 19.41 390950024 Ohio Lucas 34.2 36.5 25.44 27.74 25.36 27.66 360610079 New York New York 34.2 36.4 27.71 29.91 27.04 29.24 390990014 Ohio Mahoning 34.2 35.8 25.13 26.73 24.92 26.52 170310050 Illinois Cook 34.1 35.8 24.33 26.03 24.19 25.89 110010041 

District Of Columbia 

District Of Columbia 34 35.6 26.30 27.90 26.01 27.61 

540090005 West Virginia Brooke 33.9 36.1 24.75 26.95 24.41 26.61 391550007 Ohio Trumbull 33.9 35.6 24.80 26.50 24.61 26.31 421255001 Pennsylvania Washington 33.9 35.5 21.77 23.37 21.57 23.17 420033007 Pennsylvania Allegheny 33.8 38.5 21.68 26.38 21.54 26.24 240031003 Maryland 

Anne Arundel 33.8 36.7 27.65 30.55 27.36 30.26 

180390003 Indiana Elkhart 33.8 35.6 24.22 26.02 24.16 25.96 212270007 Kentucky Warren 33.7 36.3 18.06 20.66 18.13 20.73 390350034 Ohio Cuyahoga 33.7 35.7 24.07 26.07 23.74 25.74 170314007 Illinois Cook 33.6 35.7 22.90 25.00 22.91 25.01 390950026 Ohio Lucas 33.6 35.6 21.03 23.03 21.04 23.04 110010042 

District Of Columbia 

District Of Columbia 33 35.6 27.03 29.63 26.63 29.23 
102 

Table 3-19. Using AQAT, the Estimated Ozone Season Average and Maximum Design Values (DV) in 201When Emission Reductions at $500/Ton Marginal Cost per Ton NOx Emissions are Applied to States UpwProposed Remedy is Applied. 

2012 

Base 

2012 

Base $500/Ton $500/Ton 

Proposed 

Remedy 

Proposed 

Remedy 

Monitor 

Identification 

Number

Receptor State

Receptor County

Avg. 

DV 

Max. 

DV Avg. DV Max. DV Avg. DV Max. DV 

482010055 Texas Harris 95.7 97.9 94.41 96.61 94.17 96.37 482010062 Texas Harris 90.5 93.7 89.15 92.35 88.93 92.13 482011039 Texas Harris 90.5 93.9 89.22 92.62 88.98 92.38 482010066 Texas Harris 89.9 93.5 88.76 92.36 88.57 92.17 480391004 Texas Brazoria 88.8 91 87.44 89.64 87.25 89.45 482010051 Texas Harris 88.4 93.1 87.21 91.91 86.98 91.68 220330003 Louisiana 

East Baton Rouge 87.8 91.6 86.52 90.32 86.37 90.17 

361030002 New York Suffolk 86.3 87.2 86.27 87.17 86.13 87.03 421010024 Pennsylvania Philadelphia 85.3 86 85.28 85.98 85.23 85.93 361030009 New York Suffolk 85.1 85.8 85.09 85.79 84.93 85.63 484391002 Texas Tarrant 85.1 86.7 83.66 85.26 83.54 85.14 090011123 Connecticut Fairfield 84.8 86.4 84.77 86.37 84.61 86.21 361192004 New York Westchester 84.7 86.9 84.67 86.87 84.51 86.71 481130087 Texas Dallas 84.6 85.6 83.22 84.22 83.05 84.05 090013007 Connecticut Fairfield 84.5 86.4 84.47 86.37 84.35 86.25 131210055 Georgia Fulton 84.4 86.5 83.71 85.81 83.40 85.50 482010029 Texas Harris 84.4 85.6 83.27 84.47 83.19 84.39 484392003 Texas Tarrant 84 85.2 82.67 83.87 82.54 83.74 482011050 Texas Harris 83.9 86.5 82.72 85.32 82.48 85.08 482011015 Texas Harris 83.7 90.3 482010024 Texas Harris 83.3 87.1 82.23 86.03 82.13 85.93 090010017 Connecticut Fairfield 83.1 85 83.06 84.96 82.92 84.82 090093002 Connecticut New Haven 82.9 85.4 82.87 85.37 82.75 85.25 481130069 Texas Dallas 82.9 85.8 81.52 84.42 81.38 84.28 482011035 Texas Harris 82 90.3 420170012 Pennsylvania Bucks 81.8 85.6 81.78 85.58 81.66 85.46 130890002 Georgia DeKalb 81.6 85.6 80.93 84.93 80.64 84.64 
103 

Table 3-20. Using AQAT, the Estimated Ozone Season Average and Maximum Design Values (DV) in 201When Emission Reductions at $500/Ton Marginal Cost per Ton NOx Emissions are Applied to States UpwProposed Remedy is Applied. 

2012 

Base 

2012 

Base $500/Ton $500/Ton 

Proposed 

Remedy 

Proposed 

Remedy 

Monitor 

Identification 

Number

Receptor State

Receptor County

Avg. 

DV 

Max. 

DV Avg. DV Max. DV Avg. DV Max. DV 

482010055 Texas Harris 95.7 97.9 89.71 91.91 89.44 91.64 482010062 Texas Harris 90.5 93.7 84.66 87.86 84.41 87.61 482011039 Texas Harris 90.5 93.9 84.89 88.29 84.63 88.03 482010066 Texas Harris 89.9 93.5 84.65 88.25 84.46 88.06 480391004 Texas Brazoria 88.8 91 83.08 85.28 82.86 85.06 482010051 Texas Harris 88.4 93.1 82.87 87.57 82.62 87.32 220330003 Louisiana 

East Baton Rouge 87.8 91.6 83.65 87.45 83.51 87.31 

361030002 New York Suffolk 86.3 87.2 82.51 83.41 82.12 83.02 421010024 Pennsylvania Philadelphia 85.3 86 81.64 82.34 81.22 81.92 361030009 New York Suffolk 85.1 85.8 81.41 82.11 81.08 81.78 484391002 Texas Tarrant 85.1 86.7 79.38 80.98 79.20 80.80 090011123 Connecticut Fairfield 84.8 86.4 80.70 82.30 80.38 81.98 361192004 New York Westchester 84.7 86.9 80.74 82.94 80.42 82.62 481130087 Texas Dallas 84.6 85.6 79.28 80.28 79.05 80.05 090013007 Connecticut Fairfield 84.5 86.4 80.39 82.29 80.11 82.01 131210055 Georgia Fulton 84.4 86.5 74.39 76.49 74.04 76.14 482010029 Texas Harris 84.4 85.6 79.47 80.67 79.35 80.55 484392003 Texas Tarrant 84 85.2 78.45 79.65 78.28 79.48 482011050 Texas Harris 83.9 86.5 78.73 81.33 78.47 81.07 482011015 Texas Harris 83.7 90.3 482010024 Texas Harris 83.3 87.1 78.55 82.35 78.44 82.24 090010017 Connecticut Fairfield 83.1 85 79.37 81.27 79.00 80.90 090093002 Connecticut New Haven 82.9 85.4 78.65 81.15 78.37 80.87 481130069 Texas Dallas 82.9 85.8 77.61 80.51 77.43 80.33 482011035 Texas Harris 82 90.3 420170012 Pennsylvania Bucks 81.8 85.6 78.35 82.15 77.93 81.73 130890002 Georgia DeKalb 81.6 85.6 71.92 75.92 71.59 75.59 
104 

Table 4-1. Air Quality Estimates (g/m3

) from the CAMx Modeling of the 2012 Base, 2014 Base, and 

2014 Proposed Remedy Daily Standard PM2.5 Design Values (DV) as well as Daily Standard PM2.5 DV 

Estimates (g/m3) from the Air Quality Assessment Tool (AQAT) for the 2014 Base and 2014 Remedy 

for Selected Sites. 

 CAMx AQAT AQAT CAMx CAMx AQAT - 

CAMx 

AQAT - 

CAMx 

 Base Base Control Base Control Base Control 

Monitor 

Identification 

Number

Receptor 

State

Receptor 

County 2012 DV 2014 DV 2014 DV 2014 DV 2014 DV 

 

420030064 Pennsylvania Allegheny 58.8 57.8 49.7 57.2 55.8 0.6 -6.1 

420030093 Pennsylvania Allegheny 41.1 39.8 29.6 39.7 31.4 0.1 -1.8 

170311016 Illinois Cook 41.0 38.1 32.4 39.4 37.7 -1.3 -5.3 

261630016 Michigan Wayne 40.6 39.1 32.4 39.7 38.2 -0.6 -5.8 

180890022 Indiana Lake 37.3 35.3 30.5 36.4 35.3 -1.1 -4.8 

245100040 Maryland Baltimore 

(City) 36.3 35.3 32.9 36.1 35.0 -0.8 -2.1 
105 

Table 4-2. Air Quality Estimates (g/m3) from the CAMx Modeling of the 2012 Base, 2014 Base, and 2014 

Daily Standard PM2.5 Design Values (DV) as well as Daily Standard PM2.5 DV Estimates (g/m3) from the 

Assessment Tool (AQAT) for the 2014 Base and 2014 Remedy for All Sites. 

 CAMx CAMx AQAT AQAT CAMx CAMx AQAT - 

CAMx 

AQAT 

CAMx 

Base Base Base Control Base Control Base Contro

Monitor Identification Number Receptor State Receptor County 2012 DV 2012 Max DV 2014 DV 2014 DV 2014 DV 2014 DV

420030064 Pennsylvania Allegheny 58.8 62.3 57.8 49.7 57.2 55.8 0.6 261630033 Michigan Wayne 42.1 42.6 40.5 31.8 41.1 39.1 -0.6 390350038 Ohio Cuyahoga 41.2 44 39.4 27.4 40.0 35.7 -0.6 420030093 Pennsylvania Allegheny 41.1 46.2 39.8 29.6 39.7 31.4 0.1 170311016 Illinois Cook 41 44.1 38.1 32.4 39.4 37.7 -1.3 261630016 Michigan Wayne 40.6 43 39.1 32.4 39.7 38.2 -0.6 180970043 Indiana Marion 40.5 42 38.7 22.9 38.8 33.2 -0.1 -390170003 Ohio Butler 40.3 42.3 38.1 20.1 38.3 29.1 -0.2 180970066 Indiana Marion 40.3 41.8 38.4 22.6 38.7 31.9 -0.3 420210011 Pennsylvania Cambria 40.3 40.7 39.1 22.9 39.4 25.6 -0.3 180970081 Indiana Marion 40.1 41.1 38.5 23.4 38.7 30.9 -0.2 010730023 Alabama Jefferson 40 40.7 38.7 32.7 38.8 35.6 -0.1 171191007 Illinois Madison 40 40.6 37.0 29.9 38.0 34.3 -1.0 540090011 West Virginia Brooke 39.9 40.8 38.5 31.0 39.2 36.4 -0.7 390618001 Ohio Hamilton 39.6 40.3 38.0 25.9 38.2 31.0 -0.2 390350060 Ohio Cuyahoga 39.4 42.8 37.8 28.6 38.7 36.3 -0.9 171190023 Illinois Madison 39.4 40.2 35.1 26.1 36.6 32.2 -1.5 180970083 Indiana Marion 39 39.3 37.1 20.8 37.3 29.0 -0.2 550790043 Wisconsin Milwaukee 38.8 39.7 35.7 28.8 37.3 36.3 -1.6 180970078 Indiana Marion 38.7 39.7 36.9 21.2 37.1 32.4 -0.2 -261630019 Michigan Wayne 38.6 39.1 37.3 31.3 37.7 37.0 -0.4 170310052 Illinois Cook 38.5 39.7 35.3 30.4 37.3 36.6 -2.0 261630015 Michigan Wayne 38.5 39.1 36.9 27.3 37.1 34.0 -0.2 390170017 Ohio Butler 38.5 38.5 36.7 21.9 36.8 28.4 -0.1 261470005 Michigan St. Clair 38.4 39.4 37.2 30.4 37.6 34.7 -0.4 170313301 Illinois Cook 38.2 41 34.7 29.2 36.8 34.9 -2.1 340172002 New Jersey Hudson 38.2 38.2 37.5 33.0 37.5 36.6 0.0 180190006 Indiana Clark 38.1 40.2 36.3 24.2 36.1 28.6 0.2 261610008 Michigan Washtenaw 38.1 39.8 36.5 27.8 37.0 35.6 -0.5 010732003 Alabama Jefferson 38.1 38.9 37.2 32.7 37.2 34.4 0.0 170313103 Illinois Cook 38.1 38.7 34.8 30.7 37.3 35.9 -2.5 420031008 Pennsylvania Allegheny 38 39.3 36.6 24.7 36.7 27.2 -0.1 390610006 Ohio Hamilton 38 38 36.2 21.0 36.5 27.2 -0.3 261250001 Michigan Oakland 37.9 38.4 36.3 26.7 36.9 35.1 -0.6 390171004 Ohio Butler 37.8 38.6 36.0 21.3 36.1 27.4 -0.1 420710007 Pennsylvania Lancaster 37.7 40.1 36.7 31.1 37.5 36.0 -0.8 420070014 Pennsylvania Beaver 37.7 39.1 36.4 27.2 36.6 30.0 -0.2 550790010 Wisconsin Milwaukee 37.7 39 35.0 31.3 37.0 36.3 -2.0 390617001 Ohio Hamilton 37.7 38.1 35.9 21.4 36.2 30.1 -0.3 390610014 Ohio Hamilton 37.5 38.5 35.9 22.0 36.1 25.4 -0.2 
106 

390170016 Ohio Butler 37.5 37.8 35.7 21.2 35.7 27.9 0.0 170316005 Illinois Cook 37.4 39.8 34.1 29.7 36.5 35.6 -2.4 180890022 Indiana Lake 37.3 42.1 35.3 30.5 36.4 35.3 -1.1 180970079 Indiana Marion 37.2 38.3 35.3 19.8 35.5 28.6 -0.2 171192009 Illinois Madison 37.2 38.2 33.3 24.6 35.4 28.6 -2.1 390610042 Ohio Hamilton 37.2 38 35.6 22.4 35.9 29.3 -0.3 360610056 New York New York 37.1 38 36.2 31.7 36.5 35.3 -0.3 420030116 Pennsylvania Allegheny 37.1 37.1 35.8 25.8 35.5 28.6 0.3 261150005 Michigan Monroe 37 38 35.3 24.3 35.6 31.2 -0.3 210590005 Kentucky Daviess 37 37 35.1 18.2 34.9 21.7 0.2 550790099 Wisconsin Milwaukee 36.8 37.7 34.0 29.2 35.5 33.3 -1.5 191630019 Iowa Scott 36.8 36.8 33.9 23.1 34.0 31.9 -0.1 340390004 New Jersey Union 36.7 37.2 35.9 30.6 35.6 33.9 0.3 420031301 Pennsylvania Allegheny 36.6 38.6 35.4 25.2 35.5 30.1 -0.1 471251009 Tennessee Montgomery 36.6 37.9 34.4 22.2 35.2 26.8 -0.8 390490024 Ohio Franklin 36.6 37.6 35.0 24.6 35.2 32.3 -0.2 390811001 Ohio Jefferson 36.5 39.9 35.0 25.9 35.3 30.0 -0.3 390350065 Ohio Cuyahoga 36.5 38.9 34.9 25.1 35.4 30.2 -0.5 180372001 Indiana Dubois 36.5 38 34.6 21.0 35.3 27.9 -0.7 171193007 Illinois Madison 36.5 37.3 32.4 23.0 34.6 27.2 -2.2 295100087 Missouri St. Louis City 36.4 36.9 32.5 23.6 33.7 30.8 -1.2 550790026 Wisconsin Milwaukee 36.3 40.1 33.9 29.9 35.3 34.4 -1.4 180890026 Indiana Lake 36.3 39.3 34.3 28.3 34.9 32.7 -0.6 391130032 Ohio Montgomery 36.3 38.5 34.4 18.9 34.9 31.1 -0.5 -245100040 Maryland Baltimore (City) 36.3 38.3 35.3 32.9 36.1 35.0 -0.8 170310076 Illinois Cook 36.3 37.3 32.7 26.2 34.8 32.3 -2.1 180970042 Indiana Marion 36.3 37.2 34.4 18.4 34.5 28.6 -0.1 -261630036 Michigan Wayne 36.3 36.9 34.7 26.8 35.5 34.4 -0.8 360610128 New York New York 36.2 38 35.2 28.4 35.4 33.0 -0.2 390490025 Ohio Franklin 36.1 36.4 34.5 24.5 34.8 30.6 -0.3 390350045 Ohio Cuyahoga 36 39 34.3 24.2 35.0 29.4 -0.7 211110044 Kentucky Jefferson 36 36.5 34.3 21.4 34.3 27.6 0.0 390610043 Ohio Hamilton 36 36.4 34.2 19.3 34.7 27.9 -0.5 295100007 Missouri St. Louis City 36 36.3 32.2 21.7 33.3 29.1 -1.1 421330008 Pennsylvania York 35.9 38.8 34.7 25.1 35.5 32.8 -0.8 181570008 Indiana Tippecanoe 35.9 36.9 34.2 21.7 34.4 29.5 -0.2 180830004 Indiana Knox 35.9 36.5 34.2 22.4 34.8 28.8 -0.6 420030008 Pennsylvania Allegheny 35.9 36.3 34.9 26.6 34.7 28.5 0.2 360050080 New York Bronx 35.9 36.2 35.1 29.8 35.2 33.5 -0.1 390610040 Ohio Hamilton 35.8 36.8 34.0 19.7 34.3 24.9 -0.3 211110043 Kentucky Jefferson 35.8 36.4 34.1 20.8 34.3 27.2 -0.2 420430401 Pennsylvania Dauphin 35.7 37.1 34.6 27.9 35.3 33.6 -0.7 170310057 Illinois Cook 35.7 37 32.3 27.6 34.4 31.2 -2.1 090091123 Connecticut New Haven 35.7 36.6 34.8 29.3 34.9 32.3 -0.1 290990012 Missouri Jefferson 35.7 36.5 32.0 21.7 32.6 29.7 -0.6 340171003 New Jersey Hudson 35.7 36.1 35.1 30.0 34.9 32.9 0.2 170312001 Illinois Cook 35.6 38.2 33.2 26.2 34.4 31.6 -1.2 391530017 Ohio Summit 35.6 37.2 33.8 23.8 34.6 31.4 -0.8 211110048 Kentucky Jefferson 35.6 36.4 34.1 22.5 34.0 26.3 0.1 291831002 Missouri Saint Charles 35.5 37.1 31.9 22.1 33.6 28.6 -1.7 
107 

245100049 Maryland Baltimore (City) 35.5 35.5 34.5 32.1 35.3 34.3 -0.8 261630001 Michigan Wayne 35.4 37.8 33.8 23.8 34.2 32.8 -0.4 360610062 New York New York 35.3 37 34.3 29.8 34.6 33.2 -0.3 420410101 Pennsylvania Cumberland 35.3 37 34.4 28.6 35.0 33.0 -0.6 390810017 Ohio Jefferson 35.3 36.8 33.8 24.7 34.0 29.1 -0.2 171630010 Illinois Saint Clair 35.3 35.9 31.3 22.4 32.8 29.4 -1.5 295100085 Missouri St. Louis City 35.3 35.7 31.6 21.7 32.9 29.8 -1.3 181670023 Indiana Vigo 35.1 36.5 32.9 21.0 33.7 30.8 -0.8 550250047 Wisconsin Dane 35.1 36.1 33.1 28.1 34.2 31.7 -1.1 471650007 Tennessee Sumner 35.1 36 33.3 19.1 33.1 20.5 0.2 171971002 Illinois Will 35.1 35.8 32.2 26.2 33.6 29.6 -1.4 210290006 Kentucky Bullitt 35 36.3 33.2 19.5 33.1 24.0 0.1 170310022 Illinois Cook 34.9 36.6 33.1 27.1 34.3 33.2 -1.2 551330027 Wisconsin Waukesha 34.9 35.6 32.9 27.7 33.3 31.6 -0.4 550790059 Wisconsin Milwaukee 34.8 36.3 32.0 26.4 33.5 31.6 -1.5 245100035 Maryland Baltimore (City) 34.7 35.5 33.8 31.5 34.5 33.4 -0.7 390350027 Ohio Cuyahoga 34.5 36.6 33.0 24.6 34.0 32.1 -1.0 191390015 Iowa Muscatine 34.5 36 32.8 28.7 33.8 32.1 -1.0 211451004 Kentucky McCracken 34.4 36.8 32.7 20.9 32.5 23.1 0.2 420030095 Pennsylvania Allegheny 34.3 36.6 33.1 24.2 33.0 26.5 0.1 180431004 Indiana Floyd 34.3 35.7 32.6 19.1 32.7 23.8 -0.1 391130031 Ohio Montgomery 34.3 35.6 32.8 21.5 33.1 29.8 -0.3 391351001 Ohio Preble 34.3 35.5 32.5 18.2 33.2 26.5 -0.7 390950024 Ohio Lucas 34.2 36.5 32.7 25.4 33.5 32.0 -0.8 360610079 New York New York 34.2 36.4 33.4 27.0 33.4 31.4 0.0 390990014 Ohio Mahoning 34.2 35.8 32.8 24.9 33.1 30.3 -0.3 170310050 Illinois Cook 34.1 35.8 31.3 24.2 32.3 30.3 -1.0 110010041 District Of 

Columbia 

District Of Columbia 

34 35.6 32.8 26.0 33.6 31.2 -0.8 

540090005 West Virginia Brooke 33.9 36.1 32.5 24.4 33.0 28.9 -0.5 391550007 Ohio Trumbull 33.9 35.6 32.5 24.6 33.0 30.2 -0.5 421255001 Pennsylvania Washington 33.9 35.5 32.2 21.6 32.7 26.0 -0.5 420033007 Pennsylvania Allegheny 33.8 38.5 32.4 21.5 32.6 25.6 -0.2 240031003 Maryland Anne Arundel 33.8 36.7 32.5 27.4 34.4 32.9 -1.9 180390003 Indiana Elkhart 33.8 35.6 32.1 24.2 32.7 29.0 -0.6 212270007 Kentucky Warren 33.7 36.3 31.5 18.1 31.6 21.6 -0.1 390350034 Ohio Cuyahoga 33.7 35.7 32.2 23.7 33.2 29.9 -1.0 170314007 Illinois Cook 33.6 35.7 29.8 22.9 32.2 30.4 -2.4 390950026 Ohio Lucas 33.6 35.6 31.9 21.0 32.6 30.2 -0.7 110010042 District Of 

Columbia 

District Of Columbia 

33 35.6 32.0 26.6 32.7 30.5 -0.7 
108 

Table 4-3. Air Quality Estimates (g/m3) from the CAMx Modeling of the 2012 Base, 2014 Base, and 2014 

Daily Standard PM2.5 Maximum Design Values (Max DV) as well as Daily Standard PM2.5 Max DV Estima

Air Quality Assessment Tool (AQAT) for the 2014 Base and 2014 Remedy for All Sites. 

CAMx CAMx AQAT AQAT CAMx CAMx AQAT -

CAMx 

AQAT -

CAMx 

Base Base Base Control Base Control Base Control

Monitor 

Identification 

Number

Receptor State Receptor County 2012 DV 2012 Max DV 2014 Max DV 2014 Max DV 2014 Max DV 2014 Max DV

420030064 Pennsylvania Allegheny 58.8 62.3 61.3 53.2 60.4 58.9 0.9 -5.7261630033 Michigan Wayne 42.1 42.6 41.0 32.3 41.7 39.4 -0.7 -7.1390350038 Ohio Cuyahoga 41.2 44 42.2 30.2 42.6 38.2 -0.4 -8.0420030093 Pennsylvania Allegheny 41.1 46.2 44.9 34.7 44.5 35.2 0.4 -0.5170311016 Illinois Cook 41 44.1 41.2 35.5 42.5 41.2 -1.3 -5.7261630016 Michigan Wayne 40.6 43 41.5 34.8 42.1 40.8 -0.6 -6.0180970043 Indiana Marion 40.5 42 40.2 24.4 40.3 34.4 -0.1 -10.0390170003 Ohio Butler 40.3 42.3 40.1 22.1 40.3 31.4 -0.2 -9.3180970066 Indiana Marion 40.3 41.8 39.9 24.1 40.0 33.1 -0.1 -9.0420210011 Pennsylvania Cambria 40.3 40.7 39.5 23.3 39.8 26.0 -0.3 -2.7180970081 Indiana Marion 40.1 41.1 39.5 24.4 39.7 31.0 -0.2 -6.6010730023 Alabama Jefferson 40 40.7 39.4 33.4 39.6 36.8 -0.2 -3.4171191007 Illinois Madison 40 40.6 37.6 30.5 38.7 37.0 -1.1 -6.5540090011 West Virginia Brooke 39.9 40.8 39.4 31.9 40.1 37.1 -0.7 -5.2390618001 Ohio Hamilton 39.6 40.3 38.7 26.6 39.0 32.3 -0.3 -5.7390350060 Ohio Cuyahoga 39.4 42.8 41.2 32.0 41.8 38.0 -0.6 -6.0171190023 Illinois Madison 39.4 40.2 35.9 26.9 37.4 33.5 -1.5 -6.6180970083 Indiana Marion 39 39.3 37.4 21.1 37.7 29.4 -0.3 -8.3550790043 Wisconsin Milwaukee 38.8 39.7 36.6 29.7 38.4 37.7 -1.8 -8.0180970078 Indiana Marion 38.7 39.7 37.9 22.2 38.0 33.7 -0.1 -11.5261630019 Michigan Wayne 38.6 39.1 37.8 31.8 38.3 37.5 -0.5 -5.7170310052 Illinois Cook 38.5 39.7 36.5 31.6 38.2 37.4 -1.7 -5.8261630015 Michigan Wayne 38.5 39.1 37.5 27.9 37.6 34.7 -0.1 -6.8390170017 Ohio Butler 38.5 38.5 36.7 21.9 36.8 28.4 -0.1 -6.5261470005 Michigan St. Clair 38.4 39.4 38.2 31.4 38.7 35.4 -0.5 -4.0170313301 Illinois Cook 38.2 41 37.5 32.0 39.7 37.3 -2.2 -5.3340172002 New Jersey Hudson 38.2 38.2 37.5 33.0 37.5 36.6 0.0 -3.6180190006 Indiana Clark 38.1 40.2 38.4 26.3 37.9 29.5 0.5 -3.2261610008 Michigan Washtenaw 38.1 39.8 38.2 29.5 38.7 36.2 -0.5 -6.7010732003 Alabama Jefferson 38.1 38.9 38.0 33.5 37.9 35.0 0.1 -1.5170313103 Illinois Cook 38.1 38.7 35.4 31.3 37.9 36.5 -2.5 -5.2420031008 Pennsylvania Allegheny 38 39.3 37.9 26.0 37.8 27.9 0.1 -1.9390610006 Ohio Hamilton 38 38 36.2 21.0 36.5 27.2 -0.3 -6.2261250001 Michigan Oakland 37.9 38.4 36.8 27.2 37.2 36.2 -0.4 -9.0390171004 Ohio Butler 37.8 38.6 36.8 22.1 37.0 28.3 -0.2 -6.2420710007 Pennsylvania Lancaster 37.7 40.1 39.1 33.5 39.7 38.2 -0.6 -4.7420070014 Pennsylvania Beaver 37.7 39.1 37.8 28.6 38.0 30.8 -0.2 -2.2550790010 Wisconsin Milwaukee 37.7 39 36.3 32.6 38.3 37.5 -2.0 -4.9390617001 Ohio Hamilton 37.7 38.1 36.3 21.8 36.6 31.9 -0.3 -10.1
109 

390610014 Ohio Hamilton 37.5 38.5 36.9 23.0 37.1 27.1 -0.2 -4.1390170016 Ohio Butler 37.5 37.8 36.0 21.5 36.2 28.3 -0.2 -6.8170316005 Illinois Cook 37.4 39.8 36.5 32.1 39.1 38.2 -2.6 -6.1180890022 Indiana Lake 37.3 42.1 40.1 35.3 41.1 39.8 -1.0 -4.5180970079 Indiana Marion 37.2 38.3 36.4 20.9 36.6 28.9 -0.2 -8.0171192009 Illinois Madison 37.2 38.2 34.3 25.6 36.1 29.3 -1.8 -3.7390610042 Ohio Hamilton 37.2 38 36.4 23.2 36.7 30.0 -0.3 -6.8360610056 New York New York 37.1 38 37.1 32.6 37.3 36.0 -0.2 -3.4420030116 Pennsylvania Allegheny 37.1 37.1 35.8 25.8 35.5 28.6 0.3 -2.8261150005 Michigan Monroe 37 38 36.3 25.3 36.3 31.6 0.0 -6.3210590005 Kentucky Daviess 37 37 35.1 18.2 34.9 21.7 0.2 -3.5550790099 Wisconsin Milwaukee 36.8 37.7 34.9 30.1 37.0 35.9 -2.1 -5.8191630019 Iowa Scott 36.8 36.8 33.9 23.1 34.0 31.9 -0.1 -8.8340390004 New Jersey Union 36.7 37.2 36.4 31.1 36.2 34.8 0.2 -3.7420031301 Pennsylvania Allegheny 36.6 38.6 37.4 27.2 37.4 31.0 0.0 -3.8471251009 Tennessee Montgomery 36.6 37.9 35.7 23.5 36.4 27.7 -0.7 -4.2390490024 Ohio Franklin 36.6 37.6 36.0 25.6 36.5 33.9 -0.5 -8.3390811001 Ohio Jefferson 36.5 39.9 38.4 29.3 38.8 33.3 -0.4 -4.0390350065 Ohio Cuyahoga 36.5 38.9 37.3 27.5 38.1 33.9 -0.8 -6.4180372001 Indiana Dubois 36.5 38 36.1 22.5 36.8 30.6 -0.7 -8.1171193007 Illinois Madison 36.5 37.3 33.2 23.8 35.2 28.2 -2.0 -4.4295100087 Missouri St. Louis City 36.4 36.9 33.0 24.1 34.1 31.3 -1.1 -7.2550790026 Wisconsin Milwaukee 36.3 40.1 37.7 33.7 39.2 38.3 -1.5 -4.6180890026 Indiana Lake 36.3 39.3 37.3 31.3 38.0 35.8 -0.7 -4.5391130032 Ohio Montgomery 36.3 38.5 36.6 21.1 36.9 33.3 -0.3 -12.2245100040 Maryland Baltimore (City 36.3 38.3 37.3 34.9 38.0 36.8 -0.7 -1.9170310076 Illinois Cook 36.3 37.3 33.7 27.2 35.5 32.7 -1.8 -5.5180970042 Indiana Marion 36.3 37.2 35.3 19.3 35.4 30.4 -0.1 -11.1261630036 Michigan Wayne 36.3 36.9 35.3 27.4 36.2 35.5 -0.9 -8.1360610128 New York New York 36.2 38 37.0 30.2 37.0 33.1 0.0 -2.9390490025 Ohio Franklin 36.1 36.4 34.8 24.8 35.2 32.6 -0.4 -7.8390350045 Ohio Cuyahoga 36 39 37.3 27.2 38.2 33.2 -0.9 -6.0211110044 Kentucky Jefferson 36 36.5 34.8 21.9 34.7 28.5 0.1 -6.6390610043 Ohio Hamilton 36 36.4 34.6 19.7 35.0 28.4 -0.4 -8.7295100007 Missouri St. Louis City 36 36.3 32.5 22.0 33.6 30.2 -1.1 -8.2421330008 Pennsylvania York 35.9 38.8 37.6 28.0 38.4 35.4 -0.8 -7.4181570008 Indiana Tippecanoe 35.9 36.9 35.2 22.7 35.3 29.9 -0.1 -7.2180830004 Indiana Knox 35.9 36.5 34.8 23.0 35.1 30.5 -0.3 -7.5420030008 Pennsylvania Allegheny 35.9 36.3 35.3 27.0 35.1 28.8 0.2 -1.8360050080 New York Bronx 35.9 36.2 35.4 30.1 35.4 33.9 0.0 -3.8390610040 Ohio Hamilton 35.8 36.8 35.0 20.7 35.3 25.2 -0.3 -4.5211110043 Kentucky Jefferson 35.8 36.4 34.7 21.4 34.8 29.4 -0.1 -8.0420430401 Pennsylvania Dauphin 35.7 37.1 36.0 29.3 36.8 35.1 -0.8 -5.8170310057 Illinois Cook 35.7 37 33.6 28.9 35.6 32.3 -2.0 -3.4090091123 Connecticut New Haven 35.7 36.6 35.7 30.2 35.8 32.7 -0.1 -2.5290990012 Missouri Jefferson 35.7 36.5 32.8 22.5 33.6 30.2 -0.8 -7.7340171003 New Jersey Hudson 35.7 36.1 35.5 30.4 35.3 33.9 0.2 -3.5170312001 Illinois Cook 35.6 38.2 35.8 28.8 37.1 34.5 -1.3 -5.7391530017 Ohio Summit 35.6 37.2 35.4 25.4 36.4 34.2 -1.0 -8.8211110048 Kentucky Jefferson 35.6 36.4 34.9 23.3 34.8 27.0 0.1 -3.7
110 

291831002 Missouri Saint Charles 35.5 37.1 33.5 23.7 35.3 29.9 -1.8 -6.2245100049 Maryland Baltimore (City) 35.5 35.5 34.5 32.1 35.3 34.3 -0.8 -2.2261630001 Michigan Wayne 35.4 37.8 36.2 26.2 36.3 34.9 -0.1 -8.7360610062 New York New York 35.3 37 36.0 31.5 36.3 33.6 -0.3 -2.1420410101 Pennsylvania Cumberland 35.3 37 36.1 30.3 36.7 34.6 -0.6 -4.3390810017 Ohio Jefferson 35.3 36.8 35.3 26.2 35.5 30.5 -0.2 -4.3171630010 Illinois Saint Clair 35.3 35.9 31.9 23.0 33.4 30.1 -1.5 -7.1295100085 Missouri St. Louis City 35.3 35.7 32.0 22.1 33.3 30.4 -1.3 -8.3181670023 Indiana Vigo 35.1 36.5 34.3 22.4 35.0 32.1 -0.7 -9.7550250047 Wisconsin Dane 35.1 36.1 34.1 29.1 35.3 32.9 -1.2 -3.8471650007 Tennessee Sumner 35.1 36 34.2 20.0 34.0 22.5 0.2 -2.5171971002 Illinois Will 35.1 35.8 32.9 26.9 34.4 31.1 -1.5 -4.2210290006 Kentucky Bullitt 35 36.3 34.5 20.8 34.2 24.6 0.3 -3.8170310022 Illinois Cook 34.9 36.6 34.8 28.8 36.0 35.0 -1.2 -6.2551330027 Wisconsin Waukesha 34.9 35.6 33.6 28.4 33.9 31.8 -0.3 -3.4550790059 Wisconsin Milwaukee 34.8 36.3 33.5 27.9 35.1 33.4 -1.6 -5.5245100035 Maryland Baltimore (City) 34.7 35.5 34.6 32.3 35.3 34.2 -0.7 -1.9390350027 Ohio Cuyahoga 34.5 36.6 35.1 26.7 36.2 35.0 -1.1 -8.3191390015 Iowa Muscatine 34.5 36 34.3 30.2 35.4 33.2 -1.1 -3.0211451004 Kentucky McCracken 34.4 36.8 35.1 23.3 34.8 23.6 0.3 -0.3420030095 Pennsylvania Allegheny 34.3 36.6 35.4 26.5 35.2 29.1 0.2 -2.6180431004 Indiana Floyd 34.3 35.7 34.0 20.5 34.1 25.3 -0.1 -4.8391130031 Ohio Montgomery 34.3 35.6 34.1 22.8 34.2 30.9 -0.1 -8.1391351001 Ohio Preble 34.3 35.5 33.7 19.4 34.4 26.6 -0.7 -7.2390950024 Ohio Lucas 34.2 36.5 35.0 27.7 35.7 34.4 -0.7 -6.7360610079 New York New York 34.2 36.4 35.6 29.2 35.4 33.3 0.2 -4.1390990014 Ohio Mahoning 34.2 35.8 34.4 26.5 34.6 31.9 -0.2 -5.4170310050 Illinois Cook 34.1 35.8 33.0 25.9 33.9 32.2 -0.9 -6.3110010041 District Of Columbia District Of Columbia 34 35.6 34.4 27.6 35.3 32.9 -0.9 -5.3540090005 West Virginia Brooke 33.9 36.1 34.7 26.6 35.2 30.6 -0.5 -4.0391550007 Ohio Trumbull 33.9 35.6 34.2 26.3 34.5 32.1 -0.3 -5.8421255001 Pennsylvania Washington 33.9 35.5 33.8 23.2 34.1 27.0 -0.3 -3.8420033007 Pennsylvania Allegheny 33.8 38.5 37.1 26.2 36.9 28.4 0.2 -2.2240031003 Maryland Anne Arundel 33.8 36.7 35.4 30.3 37.5 36.1 -2.1 -5.8180390003 Indiana Elkhart 33.8 35.6 33.9 26.0 34.4 30.5 -0.5 -4.5212270007 Kentucky Warren 33.7 36.3 34.1 20.7 34.0 24.2 0.1 -3.5390350034 Ohio Cuyahoga 33.7 35.7 34.2 25.7 35.4 33.3 -1.2 -7.6170314007 Illinois Cook 33.6 35.7 31.9 25.0 34.0 32.9 -2.1 -7.9390950026 Ohio Lucas 33.6 35.6 33.9 23.0 34.5 32.3 -0.6 -9.3110010042 District Of Columbia District Of Columbia 33 35.6 34.6 29.2 35.5 33.2 -0.9 -4.0
111 

Appendix A: IPM Runs Used in Transport Rule Significant Contribution 

Analysis 
112 

Table A-1 lists IPM runs used in the significant contribution analysis. As discussed in section B in 

this TSD, each pollutant was analyzed separately with no policy assumed for the other two pollutants (e.g., 

the SO2 runs do not include assumptions for NOX controls beyond the NOX policies in the Base Case). 

Additionally, in each of these runs we imposed the marginal costs starting in 2012 and continuing through 

2014. The IPM runs can be found in the docket for this rulemaking (Docket ID No. EPA-HQ-OAR-2009-

0491). 

Table A-1. IPM Runs Used in Transport Rule Significant Contribution Analysis 

Run Name Run Description 

Transport Rule Base Case 

TR_Base_Case Base Case model run, which includes the 

national Title IV SO2 cap-and-trade program; 

NOX SIP Call regional ozone season cap-andtrade program; and settlements and state rules 

through February 3, 2009. This run represents 

conditions without the proposed Transport 

Rule and without the rule it would replace 

(CAIR). 

Additional runs used for analysis of significant contribution* 

TR_SO2_100 Imposes a marginal cost of $100 per ton of SO2

reduced on each of 37 states and the District of 

Columbia starting in 2012. 

TR_SO2_200 Imposes a marginal cost of $200 per ton of SO2

reduced on each of 37 states and the District of 

Columbia starting in 2012. 

TR_SO2_300 Imposes a marginal cost of $300 per ton of SO2

reduced on each of 37 states and the District of 

Columbia starting in 2012. 

TR_SO2_400 Imposes a marginal cost of $400 per ton of SO2

reduced on each of 37 states and the District of 

Columbia starting in 2012. 

TR_SO2_500 Imposes a marginal cost of $500 per ton of SO2

reduced on each of 37 states and the District of 

Columbia starting in 2012. 

TR_SO2_600 Imposes a marginal cost of $600 per ton of SO2

reduced on each of 37 states and the District of 

Columbia starting in 2012. 

TR_SO2_800 Imposes a marginal cost of $800 per ton of SO2

reduced on each of 37 states and the District of 

Columbia starting in 2012. 
113 

Run Name Run Description 

TR_SO2_1000 Imposes a marginal cost of $1,000 per ton of 

SO2 reduced on each of 37 states and the 

District of Columbia starting in 2012. 

TR_SO2_1200 Imposes a marginal cost of $1,200 per ton of 

SO2 reduced on each of 37 states and the 

District of Columbia starting in 2012. 

TR_SO2_1400 Imposes a marginal cost of $1,400 per ton of 

SO2 reduced on each of 37 states and the 

District of Columbia starting in 2012. 

TR_SO2_1600 Imposes a marginal cost of $1,600 per ton of 

SO2 reduced on each of 37 states and the 

District of Columbia starting in 2012. 

TR_SO2_1800 Imposes a marginal cost of $1,800 per ton of 

SO2 reduced on each of 37 states and the 

District of Columbia starting in 2012. 

TR_SO2_2000 Imposes a marginal cost of $2,000 per ton of 

SO2 reduced on each of 37 states and the 

District of Columbia. 

TR_SO2_2400 Imposes a marginal cost of $2,400 per ton of 

SO2 reduced on each of 37 states and the 

District of Columbia starting in 2012. 

TR_NOX_OS_500 Imposes a marginal cost of $500 per ton of 

NOX reduced in the ozone season on each of 37 

states and the District of Columbia starting in 

2012. 

TR_NOX_OS_1000 Imposes a marginal cost of $1,000 per ton of 

NOX reduced in the ozone season on each of 37 

states and the District of Columbia starting in 

2012. 

TR_NOX_OS_1500 Imposes a marginal cost of $1,500 per ton of 

NOX reduced in the ozone season on each of 37 

states and the District of Columbia starting in 

2012. 

TR_NOX_OS_2000 Imposes a marginal cost of $2,000 per ton of 

NOX reduced in the ozone season on each of 37 

states and the District of Columbia starting in 

2012. 

TR_NOX_OS_2500 Imposes a marginal cost of $2,500 per ton of 

NOX reduced in the ozone season on each of 37 

states and the District of Columbia starting in 

2012. 
114 

Run Name Run Description 

TR_NOX_OS_3000 Imposes a marginal cost of $3,000 per ton of 

NOX reduced in the ozone season on each of 37 

states and the District of Columbia starting in 

2012. 

TR_NOX_OS_3500 Imposes a marginal cost of $3,500 per ton of 

NOX reduced in the ozone season on each of 37 

states and the District of Columbia starting in 

2012. 

TR_NOX_OS_5000 Imposes a marginal cost of $5,000 per ton of 

NOX reduced in the ozone season on each of 37 

states and the District of Columbia starting in 

2012. 

TR_NOX_500 Imposes a marginal cost of $500 per ton of 

NOX reduced annually on each of 37 states and 

the District of Columbia starting in 2012. 

TR_NOX_750 Imposes a marginal cost of $750 per ton of 

NOX reduced annually on each of 37 states and 

the District of Columbia starting in 2012. 

TR_NOX_1000 Imposes a marginal cost of $1,000 per ton of 

NOX reduced annually on each of 37 states and 

the District of Columbia starting in 2012. 

TR_NOX_1250 Imposes a marginal cost of $1,250 per ton of 

NOX reduced annually on each of 37 states and 

the District of Columbia starting in 2012. 

TR_NOX_1500 Imposes a marginal cost of $1,500 per ton of 

NOX reduced annually on each of 37 states and 

the District of Columbia starting in 2012. 

TR_NOX_2500 Imposes a marginal cost of $2,500 per ton of 

NOX reduced annually on each of 37 states and 

the District of Columbia starting in 2012. 

*In addition to base case assumptions, these runs include additional control options for units between 25 and 

100 MW capacity. See IPM Documentation for more details.