# 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) pr ovides information that supports the

EPA’s analysis to quantify upwind state em issions that significantly contribute to

nonattainment or interfere with maintena nce of the National Ambient Air Quality

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

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

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

or Interfere with Maintenance

B. Electric Generating Unit Signifi cant 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 asse ssment tool estimates and CAMx air

quality modeling estimates

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

or Interfere with Maintenance

Preamble section IV describes EPA’s pr oposed approach to determine upwind

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

maintenance downwind with resp ect to the existing 1997 and 2006 PM 2.5 

# NAAQS and

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

analysis to identify monito ring sites with nonattainment and maintenance problems for

the PM 2.5 

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

uses air quality analysis to identify upwi nd states whose contribu tions to downwind air

quality monitoring sites with nonattainment and maintenance problems exceed specified

threshold amounts. See section IV.C in the pr eamble 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

# 3 IV.D in the preamble describes the methodol ogy that EPA developed to quantify these

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

accounting for inherent variability in power sy stem 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 NO X 

# SIP Call and CAIR, but modifies it in significant respects.

In the NO X 

# 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 Trans port Rule, rather than relying solely on

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

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

NO X 

# SIP Call and CAIR where EPA only define d an amount of reductions needed to

address significant contributi on to nonattainment, EPA is pr oposing to define an amount

of emissions reductions that addresses both si gnificant contribution to nonattainment and

interference with maintenance.

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

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

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

North Carolina

, 531 F.3d at 917. It also recognizes th at the Court accep ted -- 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 signi ficant contribution and interference

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

NO X 

# SIP Call and CAIR, where EPA’s signifi cant contribution anal ysis had a regional

focus, the methodology used in the Transpor t 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 av ailable in each state

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

(EGU) operations.

# 4 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 contributi on and interference with maintenance. The

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

emissions projected to occur in each stat e at ascending costs pe r 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 assessmen t 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, usi ng 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 emi ssions 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 inte rference with maintenance. Variability limits are then

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

sector operations as describe d in preamble section IV.F.

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

resulting specific cost thresholds that de fine each state’s signifi cant contribution and

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

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

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

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

results in two different cost thresholds for SO 2 

# reductions (for two different groups of

states) reflecting the stringency of SO 2 

# reductions necessary to eliminate each state’s

significant contribution to nona ttainment and interference with maintenance. The

# 5 methodology results in one co st threshold for annual NO X 

# and one for ozone season NO X



# reductions. 1



# As discussed in preamble section IV.D , the resulting cost threshold for SO 2



# reductions in the SO 2 

# group 1 states is $2,000 per ton. The resulting cost threshold for

SO 2 

# reductions in the SO 2 

# group 2 states is the cost at which EGUs operate all installed

controls, continue to burn coal s with sulfur contents consis tent with what they were

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

by 2014. For annual NO X 

# 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 NO X 

# 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 Signi ficant Contribution Cost Analysis

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

state’s significant contribution and interferen ce 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 SO 2 

# , annual NO X 

# , and ozone season NO X 

# emissions

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

version 3.02 EISA of the Integrated Planni ng 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 th e 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

# 6 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 SO 2 

# cap and trade program; NO X 

# SIP Call regional ozone

season cap and trade program; settlements; a nd 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 emi ssions reductions. To do this , EPA designed a series of

IPM runs that imposed increasing marginal costs for reduction of SO 2 

# , annual NO X 

# , or

ozone season NO X 

# emissions and tabulated those projec ted emissions at each cost level.

EPA refers to these tabulations as “co st 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 contin uing through 2014 and later years. For SO 2



# emissions, the lowest marginal cost that EP A modeled is $100 per ton and the highest is

$2,400 per ton. For annual NO X 

# emissions, the marginal costs modeled range from $500

per ton to $2,500 per ton. For ozone season NO X 

# 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 stat es and to prevent the

results from merely reflecting generation sh ifts among states in response to emissions

costs. Because of the time required to bu ild 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 NO X 

# burners to be built in

2012.

2 

# For this series of IPM runs, EPA imposed these contro ls 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).

# 7 Each pollutant (SO 2 

# , ozone-season NO X 

# , and annual NO X 

# ) was analyzed

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

example, the SO 2 

# runs did not include assumptions for NO X 

# controls (beyond the NO X



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

approach reflected the need to estimate emi ssions reduced for each pollutant relative to

the Base Case. Even beyond obvious intera ctions between simultaneous annual and

ozone season NO X 

# requirements, reductions required for either NO X 

# or SO 2 

# 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., SO 2 

# ) could cause switching to gas-fi red units and therefore greatly

impact emissions of the other pollutant (i.e., NO X 

# ).

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

ultimately determined through the significant co ntribution analysis (the cost levels are

summarized in section A of this TS D, earlier). At $500 per ton of NO X 

# , reductions result

largely from operating post-combustion c ontrols, which has little effect on SO 2 

# emissions

even in 2012. Conversely, SO 2 

# requirements in 2014 are primarily met through add-on

scrubbers at coal-fired plants and co al switching, neither of which affects NO X 

# 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 NO X 

# emissions for 2012 and 2014, 1-3

and 1-4 present SO 2 

# emissions for 2012 and 2014, and Tabl es 1-5 and 1-6 present ozone

season NO X 

# 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 neares t thousand ton. In Tables 1-1 through 1-6,

the emissions are presented, rounded to the nearest ton.

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

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

available from upwind contribu ting states and the downwind st ate, at different cost-perton levels, would have on air quality at dow nwind monitor sites that had nonattainment

and/or maintenance problems. In AQAT, the emissions at each cost-per-ton level, were

# 8 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 th e Comprehensive Air Quality Model with

Extensions (CAMx).

C. Analysis of Significant Contributi on 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 be neficial for understanding, ev aluating, 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 ai r 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 ai r 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 qua lity 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 anal ysis for the proposed approach

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

(model) estimates for the proposed approach

# 9  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 th e air quality models used

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

estimating the air quality impacts of upwi nd emissions reductions in the process of

assessing numerous approaches and opti ons for defining significant contribution 3 

# . 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 downw ind air quality impacts. For the purposes

of using a tool to compare the potential im pacts 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 SO 2 

# emissions leads to a proportional decrease in downwind

PM 2.5 

# sulfate contributions;

 A reduction in NO X 

# emissions leads to a proportional decrease in downwind

PM 2.5 

# nitrate contributions;

 A reduction in NO X 

# 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 re lationship between pollutant emissions from

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

monitor for the 2012 base case emission scenar io 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/m 3 

# ).

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

were completely eliminated (from all sour ce 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 SO 2 

# emissions would

lead to the same percent reduction in air qua lity sulfate contribu tion from that upwind

state. Consequently, if a stat e made a 50 percent reduction in SO 2 

# 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 SO 2 

# from the

power sector is assumed to have the same downwind effect as a ton of emissions of SO 2



# from the mobile source sector. By conseque nce, emissions reductions are assumed to be

distributed proportionally across th e state. Thus, if an emi ssions reduction of 10 percent

is called for under the “test scen ario”, all sources in the stat e, regardless of location or

source sector, reduce their emissions by 10 percent.

Section C.2 is a technical explanation of the construc tion 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 ai r 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 de velop 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 monitori ng sites (from the 2012 base case state-bystate source apportionment air quality m odeling from CAMx, based on the 2012 base

case emissions inventory) with the state-by-s tate modeling of emi ssions 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

# 11 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

standard 4 

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

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

well as the state that contains the monitor (regardless of that stat e’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 contribu ting above the 1 percent air quality

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

each downwind monitor from each upwind st ate 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. Th ese were the 2012 base case emissions

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

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

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

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

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

IV.C. The emissions at each marginal cost le vel 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 atta inment 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, th e 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 monito ring locations that were modeled to be

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

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

monitors examined for annual PM 2.5 

# , daily PM 2.5 

# , 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 modele d for the following 38 states: Alabama,

Arkansas, Connecticut, Delawa re, District of Columbia 5 

# , Florida, Georgia, Illinois,

Indiana, Iowa, Kansas, Kentucky, Louisi ana, Maine, Maryland, Massachusetts,

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

New York, North Carolina, North Dakota, Oh io, Oklahoma, Pennsylvania, Rhode Island,

South Carolina, South Dakota, Tennessee, Te xas, Vermont, Virginia , West Virginia, and

Wisconsin. Thus, in AQAT, these states ha d 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 st ates 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 cha nges as a function of emissions for those locations did not

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

not used). The emissions and contribu tions of all polluta nts aside from SO 2 

# and NO

x



# 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 anal ysis, 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 PM 2.5 

# at $2,000 per ton of SO

2 

# . Because, even at

$2,000 per ton, the District of Columbia showed very little reduction in tons of SO

2 

# , 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 th e marginal costs analyzed for SO 2 

# are shown in Table 1-3.

# 13 The goal of the AQAT is to estimate the response in air quality contributions to

upwind emissions reductions (at different margin al 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 contri bution (a decrease in pollu tant contribution) at the

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

quality at downwind monitors. We identify th e 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 c ontribution to estimate the change in the air quality at a

downwind monitor 6



# .

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

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

the Air Quality Modeling TSD 7 

# ) were examined at each of the downwind monitoring

sites for each of the respective NAAQS standa rds. 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 ba se case source apportionment modeling

contributions (the annual sulfate, ni trate, and total su lfate and nitrate PM 2.5 

# contributions)

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

numbers 420030064, 010730023, and 390618001) are loca ted 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 cas e emissions inventory of SO 2 

# and NO X 

# for the

annual and daily PM 2.5 

# assessment tools and NO X 

# for the ozone assessment tool, the base

case emissions from each upwind state for each emissions sector were identified. Stateby-state emissions for SO 2 

# and NO

x 

# in 2012 and 2014 for the EGU sector and “all other”

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

Fires) are summarized in Tabl e 2-5. More information on th e emissions inventories can

be found in preamble section IV.C. For each state and pollutant, th e 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 contri butions of nitrate, sulf ate, and ozone can be found in the Air Quality

Modeling TSD.

# 14 emissions in the “test” scenario to the 2012 ba se 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. Speci fically, on a polluta nt-by-pollutant

basis, each state’s contribution to each dow nwind 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 SO 2 

# and NO X 

# for the PM 2.5 

# assessment tools, and just for NO X



# emissions for the ozone assessment tool. Theref ore, for each state, specification of the

emissions in the “test” scenario was importa nt 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 dow nwind monitor-by-monitor basis, the

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

per ton levels (either the base case emissions le vel 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 PM 2.5 

# AQAT) to the

monitor, 8 

# as well as the state containing the monito r, make emissions reductions available

at the particular marginal cost per ton leve l. 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 PM 2.5 

# standard at monitor

420030064 in Allegheny, PA, we see that there ar e nine states whos e contributions are

larger than the 1 percent air quality threshold (0.15  g/m 3 

# ). 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 contribu tion 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 abov e 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 st eps 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 contributi on, 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 SO 2 

# and

one for NO

x 

# ) should be applied to these nine states? The answer is: the particular

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

DV to the level of the standard (e.g., 15  g/m 3 

# for annual PM 2.5 

# ). For example, for the

Allegheny monitor and annual PM 2.5 

# standard (shown in Tabl e 2-4), the 2012 base case

average and maximum desi gn values are 18.9 and 19.31  g/m 3 

# , respectively. Thus, the

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

than18.9-15.05 and 19.31-15.05  g/m 3 

# , or more than 3.85 and 4.26  g/m 3 

# of air quality

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

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

cost levels.

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

marginal costs associated with various em issions reductions. These emissions levels

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

NO X 

# 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

SO 2 

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

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

the ozone season NO X 

# 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 SO 2 

# 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 NO X 

# , the marginal cost levels (2006 $) were $0,

$500, $750, $1,000, $1,250, $1,500, and $2,500 9 

# per ton. For ozone season NO X 

# , the

9 

# EPA modeled annual NO X 

# reductions at $2,500 per ton using IPM but did not analyze this cost level using

AQAT. The projected NO X 

# 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 le vel was related to a specific level of

pollutant emissions for each state and, theref ore, 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 emi ssions changes for an upwind state were

associated with changes in the downwind air qua lity 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 signi ficant contribution and interference with

maintenance.

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

was determined from the IPM marginal co st 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 NO X 

# , annual SO 2 

# , and ozone season NO X 

# can be found in Tables 2-6

through 2-11).

For example, the fractional reduction of EGU SO 2 

# 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 SO 2 

# in 2014 at $1,200 per ton for Alabama (160,520

tons as seen in Table 1-4) from the emi ssion 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). Exp licitly, (335,967 -160,520)/ 335,967 = 0.5222 as can be

seen in Table 2-9. This would be the fr actional reduction in E GU contributions at a

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

for that particular monitor). The fracti on 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 contri bution remains at the 2014 base case ($0 per ton) level.

discussed in preamble section IV.D, the potential reduction in EGU NO X 

# 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 NO X 

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

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

using AQAT.

# 17 Consequently, for the 2014 base case situation, Alabama’s SO 2 

# EGU emissions are

estimated to be 322,362 tons (Table 1-4). Fo llowing 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 (Tab le 2-5 and preamble section

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

This process reconciles the slight differences 10 

# present between the EGU emissions

inventory used in the cont ribution 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 re duction). A full set of tables for both 2012

and 2014 for annual NO X 

# , annual SO 2 

# , and ozone season NO X 

# can be found in Tables 2-

12 through 2-17).

For example, for Alabama for SO 2 

# , 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 SO 2 

# 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 SO 2 

# from Alabama, the fraction of

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

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

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

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

base case emissions from Table 2- 5 and Tables 1-1 or 1-3, for NO X 

# and SO 2 

# ,

respectively. The emissions at various marg inal 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 differen ces in inventories will be reconciled. Since the

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

state), the difference in tons between the base cas e 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 ai r 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 reduc tion level, for each state, and for each

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

method described above) were added to the em issions 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 NO X, 

# annual SO 2 

# , and ozone season NO X 

# can be

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

Thus, following the SO 2 

# 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 SO 2 

# emissions are estimated to be 447,062 tons.

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

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

contributions are related to changes in the pol lutant-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 emissi ons (relative to the air quality modeling

emissions) to the contribution from “all ot her” emission source se ctors (non-EGU point

sources, onroad and nonroad mobile, fires, etc.), which are constant fo r 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 SO 2 

# ,

annual NO

x 

# , and ozone season NO

x 

# can be found in (Tables 2-24 through 2-29).

For example, following the Alabama examples for SO 2 

# emissions described

above, the ratio would be the total emi ssions 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 em issions), 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 E GU emissions in 2012.

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

percent threshold limit, their contribution in 201 4 is usually estimated to be different than

it was in 2012.

For the ozone season AQAT, change in overall NO X 

# 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 emissi ons (including emissions from “all other”

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

relative changes in ozone-season NO X 

# emissions from the EGU sector were scaled to

annual EGU NO X 

# emissions. In other words, if ozone season NO X 

# emissions from EGUs

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

season EGU emissions, the annual NO X 

# 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 relativ e to base case emissions 2014, for annual SO 2 

# ,

annual NO X 

# , and ozone season NO X 

# . (rather than the base of 2 012 as is seen in Tables 2-

24 through 2-29. These are calculated by ta king 1 minus the rati o 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 mu ltiply the emissions ra tios for each state

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

quality contributions at each monitor locat ion 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, contributi ons 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 SO 2 

# and

$500/ton for NO

x 

# , while the other states make reduc tions at 2014 base case levels for

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

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

Estimated design values (average or maxi mum) 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 estim ated using AQAT. In other words, we subtract the sum

of the 2012 base case contribu tions of sulfate and nitrat e 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 contributi ons added and subtracted are identical for both the average

and maximum design values. Both the ne w estimated average and maximum design

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

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

the 1997 and 2006 fine particulate matter (PM 2.5 

# ) and the 1997 ozone. In AQAT, the

estimated value of the average design valu e 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 wi ll be out of maintenance.

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

increased, changing the emissions (and the resu lting 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 to n value increased, the

estimated design values decr eased. The three air quali ty levels used were 15.05  g/m 3



# ,

35.5  g/m 3 

# , and 85 ppb to represent the 1997 and 2006 fine particulate matter (PM 2.5 

# ) and

the 1997 ozone standards, respectiv ely. The critical marginal co sts 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 PM 2.5 

# , daily PM 2.5 

# , and ozone standards. In sec tion C.2(c) of this TSD, we

described the construction of the AQAT fo r the proposed approach. The specific

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

investigation of this approach, we imposed various combinations 11 

# of SO 2 

# and NO X



# emissions reductions within AQAT and examined the resulting estimat ed 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 co ncert. We also examined the air quality

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

For ozone, we examined the air quality response to ozone season NO X 

# emissions

reductions at different marginal costs.

The emissions for annual NO X 

# for 2012 and 2014 can be found in Tables 1-1 and

1-2. The emissions for annual SO 2 

# for 2012 and 2014 can be found in Tables 1-3 and 1-

4. The NO X 

# 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 PM 2.5 

# standards, NO X 

# and

SO 2 

# emissions reductions beyond the base case le vel for the year examined were applied

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

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

marginal cost level for both NO X 

# and SO 2 

# , 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 NO

x 

# and SO 2 

# is not affected by

chemical interactions between NO

x 

# and SO 2



# .

# 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 re ductions at the base case level). For the ozone season, a

similar process was followed except that only NO X 

# emissions reductions were applied.

For annual PM 2.5 

# in 2014, the total estimated air quality response in  g/m 3 

# to

different receptor monitors for both NO X 

# and SO 2 

# 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 PM 2.5 

# in 2014, on a monitor-by-monito r basis, the total estimated

air quality response in  g/m 3 

# for both NO X 

# and SO 2 

# 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

NO X 

# marginal cost levels can be found in Tabl es 3-7, 3-8, and 3-9 for all states, the state

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

total estimated air quality response in ppb for ozone season NO X 

# marginal cost levels for

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

For annual and daily PM 2.5 

# , based on the relationship between the magnitude of

NO X 

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

quality changes in PM 2.5 

# 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 PM 2.5 

# and daily PM 2.5 

# , estimating

the SO 2 

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

nonattainment/maintenance level, we assume NO X 

# marginal emissions reductions at the

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

percent threshold and to the st ate containing the monitor.

The estimated marginal cost per ton of re ductions 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 belo w the level of the annual PM 2.5 

# , daily PM 2.5 

# , 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 SO 2 

# EGU marginal costs equal to >$ 2,400/ton for the annual and daily PM 2.5



# standards indicate that a highe r 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 SO 2 

# ). 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 NO X 

# ).

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

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

New York which has a 2012 base case maximum daily PM 2.5 

# DV of 38  g/m 3 

# . Thus,

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

more than 2.5  g/m 3 

# would be needed for the estim ated maximum DV to be below 35.5

 g/m 3 

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

in the 2014 base case (0$/ton for both NO X 

# and SO 2 

# emissions), there is a reduction of

0.94  g/m 3 

# . Based on the way that the air quality reduction tables are set up, care must

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

reductions from NO X 

# and SO 2 

# emissions reductions.

At the $500/ton NO X 

# marginal cost (with $0/ton SO 2 

# emissions), there is a total

reduction of 1.17  g/m 3 

# (Table 3-4). Similarly, at $200/ton SO 2 

# marginal cost (with

$0/ton NO X 

# emissions), there is a total reduction of 2.27  g/m 3 

# . Thus, at the $500/ton

NO X 

# marginal cost and $200/ton SO 2 

# marginal cost, there is a 0.23  g/m 3 

# (1.17-0.94

 g/m 3 

# ) reduction in nitrate and a 1.33  g/m 3 

# (2.27-0.94  g/m 3 

# ) reduction in sulfate.

Adding 0.94 to 0.23 and 1.33 equals a total of 2.5  g/m 3 

# reduction from the 2012 base

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

DV monitor to a level of 35.5  g/m 3 

# in 2014, and therefore, almost into attainment with

the standard. The next increment of contro l (the $300/ton margin al cost level) is

estimated to bring the value below 35.5  g/m 3 

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

critical maximum DV $/t on 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 SO 2



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

PM 2.5 

# standard for monitor number 420030064 locat ed in Allegheny, PA. In Table 3-13,

at $1,600/ton SO 2 

# marginal cost, this monitoring site accounts for the value of 1 in both

the nonattainment and nonattainment/mainten ance categories. At the $1,800/ton SO 2



# 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 estim ated air quality

improvement (  g/m 3 

# ) as a function of various SO 2 

# 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 PM 2.5 

# from upwind states for all of the monitors

whose 2012 base case DVs were greater than the daily PM 2.5 

# 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. Tabl e 3-16 shows the air quality improvement in

2014 referenced to the 2012 and 2014 ba se case levels (e.g., subtract 1.3  g/m 3 

# from all

of the values to achieve the 2014 base value of 0.0  g/m 3 

# ). In preamble Table IV.D-4 the

values are relative to the 2014 base case va lue. 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 site s 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 NO

x 

# and

$2,000/ton SO 2 

# marginal cost levels for annual PM 2.5 

# and daily PM 2.5 

# are applied within

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

1% air quality contribution threshold for a pa rticular 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 NO

x 

# 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 stat es 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 es timate 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 ma ximum design values in 2012 and 2014 can be

found in Tables 3-19 and 3-20. Air quality es timates 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 a ssessment tool estimates and CAMx air

quality modeling estimates

.

Understanding the relationship between emissions and air quality involves

looking at some of the chemical reacti ons involved in the formation of PM 2.5 

# and ozone.

PM 2.5 

# concentration is comprised of several ch emical species including related forms of

particulate sulfate and particulate nitrate. The atmospheric chemical reactions that

convert SO 2 

# and NO X 

# 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 impor tant 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 NO X 

# 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 H 2 

# O 2 

# and O 3 

# . During certain times and situations, such as

the winter months when H 2 

# O 2 

# concentrations may be low and SO 2 

# concentrations are

high, the response in sulfate formation may be nonlinear 12 

# . Conversion of NO X 

# to

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

12 

# Atmospheric Chemistry and Physics: From Air Pollution to Climate Change (2 nd 

# Edition). 2006. John H.

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

# 26 relation between emissions and partic ulate is thought to be nonlinear 12 

# . The chemical

relationships that influence ozone forma tion are very complex and can be nonlinear 12



# .

Some of the factors and r eagents (among others) affec ting the reactions include NO X 

# and

VOC concentrations, sunlight in tensity, 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 to ol, the CAMx modeling ex plicitly accounts for

interactions and nonlinearities in the atmosphe ric reactions, the effects of transport and

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

Following the CAMx modeling performed to ev aluate the air quality effects of the

proposed approach as describe d in the preamble, it was pos sible to evaluate the air

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

analysis was done between the assessment t ool and the CAMx modeling. This analysis

focused on comparing the average and maxi mum design value concentrations at the

downwind monitoring sites for bo th 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 a nd 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. Ho wever, 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 rate s of atmospheric chemistry reactions differ

between summer and winter, leading to seasona l differences in the effectiveness of SO 2



# emissions reductions to lower PM 2.5 

# concentrations.

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

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

2014 control cases, with a focus on estimates for the daily PM 2.5 

# 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 av erage 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 PM 2.5 

# relative to the estimates from the CAMx

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

remedy case. This is the result of the signi ficantly 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 nona ttainment in the 2012 ba se case, the average

difference between the air quality assessmen t tool and the CAMx modeling of the 2014

base case was -0.6  g/m 3 

# . 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/m 3 

# 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 ther e 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., 2 nd 

# and 3 rd 

# calendar quarters) were

greater than during the “cool” seasons (i.e., 1 st 

# and 4 th 

# 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 ma y 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 NO

x 

# 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 desc ription of these IPM runs. Emissions ha ve

been rounded to the nearest ton. For some smaller states at so me marginal costs of reductions, a higher marginal cost option m ay 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 NO

x 

# cost).

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

# 29 Table 1-2. 2014 Annual NO

x 

# 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 159,630 164,947 103,596 103,14 7 102,638 101,952 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 desc ription of these IPM runs. Emissions ha ve

been rounded to the nearest ton. For some smaller states at so me marginal costs of reductions, a higher marginal cost option m ay 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 NO

x 

# cost).

**This marginal cost level was not included in the current version of AQAT.30Table 1-3. 2012 SO2EGU Emissions* for Each State at Various PollutionControl Marginal Costs per Ton of Reduction (Tons).201220122012201220122012201220122012201220122012201220122012Marginal Cost perTon$0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL335,967 314,011 275,149 245,077 198,855 186,736 187,271 186,641 169,375 168,590 164,259 162,219 155,849 155,614 155,190AR85,11585,12984,59684,71384,78484,53182,68582,53982,53982,63282,67382,69382,68582,73883,055CT6,141 6,140 6,141 6,141 6,141 6,141 6,141 6,141 6,141 6,141 6,153 6,160 6,160 6,160 6,160DE7,8418,9018,9248,9238,9208,9138,9138,9048,9038,9008,9008,8998,8988,8988,881DC176 177 177 177 177 177 177 177 177 179 177 177 177 177 177FL230,284206,030172,791175,899144,929122,875123,091121,957122,230114,847112,519111,975109,27999,39198,571GA552,053 549,262 277,192 276,302 274,899 279,576 272,614 271,335 256,333 243,311 243,052 240,730 235,419 235,756 233,931IL724,665467,401374,588332,986272,990267,135267,319263,565261,495256,144249,211247,118245,231244,040240,113IN830,119 507,793 416,088 375,174 367,665 346,034 341,438 320,864 318,902 288,350 282,709 281,817 278,010 274,388 272,232IA169,040149,965133,422129,273127,692126,858114,764104,689104,763104,889104,183103,184102,990102,653103,185KS59,567 60,991 61,847 53,815 58,933 48,304 44,936 44,709 42,266 41,809 41,750 41,674 41,591 41,142 39,865KY718,983294,697282,337274,776264,347253,006243,697227,353216,029213,447202,339194,765187,421186,709168,279LA100,280 99,273 95,750 95,750 95,750 95,750 95,340 95,340 95,340 95,340 95,340 95,340 93,771 93,771 90,655ME17,10017,10016,27716,30616,30616,30616,30611,7639,9989,6986,7983,9331,9802,1272,127MD51,644 51,658 51,658 51,658 44,974 43,555 42,973 43,007 42,896 40,230 39,467 39,565 39,282 39,186 34,311MA17,26518,19218,19218,1929,9549,9539,9539,9539,9539,9539,9539,9539,9409,9409,940MI288,082 272,635 256,807 246,635 213,198 211,069 209,072 206,513 207,611 207,688 206,963 205,007 205,906 205,917 203,517MN54,01954,21750,92448,66848,04748,11748,11748,11348,31748,27448,26448,74348,27447,80847,306MS46,559 46,559 46,559 46,559 46,150 46,135 46,143 46,140 46,559 46,461 46,472 46,460 46,465 45,687 45,636MO445,643248,353223,797221,589218,297217,311210,831198,137195,095194,323194,029193,878193,167197,487202,781NE120,790 119,894 119,367 117,763 113,884 106,859 79,097 75,357 74,253 73,744 73,610 72,734 72,444 72,444 71,530NH7,8237,8237,8237,8237,8237,8237,8237,8237,8237,8237,8237,8237,8237,8237,823NJ38,141 38,141 25,786 25,688 25,147 19,240 19,240 19,240 19,078 19,469 19,469 19,378 19,307 19,307 19,307NY145,482145,482145,482144,837144,945144,508143,583143,464129,447120,511119,829118,609110,040109,768100,114NC126,959 116,105 124,212 119,154 114,972 111,719 111,569 107,203 106,016 105,916 100,144 101,670 99,471 98,548 96,844ND77,38375,74875,74875,67575,67575,67544,22944,22944,22943,14443,14443,14443,10043,10043,100OH946,672 564,836 459,346 434,213 406,457 361,166 329,412 301,076 292,565 290,058 263,389 248,316 243,743 240,220 228,386OK156,032159,773155,287134,188112,796115,548104,644104,644104,644104,644104,644104,644104,644104,644104,644PA967,093 846,489 413,029 367,639 351,629 318,683 305,736 290,153 285,259 277,030 241,953 234,846 231,259 230,820 224,224RI000000000000000SC149,619 142,423 146,806 144,465 140,106 139,380 137,867 136,653 128,450 122,156 121,620 119,331 118,908 118,643 114,563SD13,45313,45312,78212,78212,78211,91911,91911,91911,91911,91911,91911,91911,91911,91911,919TN596,992 244,526 130,745 128,848 127,323 127,180 127,180 126,188 126,187 126,330 126,151 123,283 121,993 109,883 108,972TX327,905326,761319,175317,904317,771295,435295,414294,338294,246294,038293,902293,903293,902293,903293,411VT351 351 351 351 351 351 351 351 351 351 351 351 351 351 351VA146,252146,225134,706122,916122,244122,244121,554119,814115,806111,245111,026108,757108,249106,645103,914WV588,392 208,559 188,135 170,963 148,949 143,292 141,357 131,943 126,186 125,069 122,866 120,442 119,232 116,186 114,165WI107,459101,52098,70098,356101,75692,26892,42687,12586,98686,25689,96591,47790,66290,68492,054*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 somemarginal costs of reductions, a higher marginal cost option may bechosen 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 SO2cost).31Table 1-4. 2014 SO2EGU Emissions* for Each State at Various PollutionControl Marginal Costs per Ton of Reduction (Tons).2012201420142014201420142014201420142014201420142014201420142014Marginal Cost perTon$0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL335,967 322,362 306,933 257,312 230,817 176,783 171,088 167,586 166,413 166,146 160,520 146,477 103,618 101,322 83,830 70,655AR85,11588,23488,25785,40985,44485,44385,44085,44085,47185,45685,50084,25883,42681,77171,13312,955CT6,141 6,160 6,160 6,160 6,160 6,160 6,160 6,1606,160 6,160 6,160 3,366 3,366 3,366 3,279 2,860DE7,8418,0799,0749,0969,1149,1149,1169,1209,1209,1218,6908,7068,7068,5247,9067,906DC176 176 177 177 177 177 177 177 177 177 179 177 177 177 177 177FL230,284194,723177,737171,182170,919138,373117,043117,381116,952113,041112,263111,05084,48678,53873,91869,775GA552,053 173,257 165,553 135,977 136,844 133,563 133,346 131,652 129,218 116,733 107,461 101,239 95,120 91,506 85,579 66,893IL724,665200,484184,625165,125164,288165,090165,032165,133165,128163,548164,857164,764163,667160,541155,172143,139IN830,119 804,425 478,464 432,781 351,997 343,820 328,129 325,582 312,579 290,932 287,151 284,471 259,408 241,634 227,254 189,715IA169,040163,966140,426129,873120,245112,214106,014105,592104,644105,229104,510103,923103,377102,461101,37870,136KS59,567 65,125 64,354 55,834 48,971 49,130 49,058 47,206 46,551 45,973 45,694 45,557 45,096 32,897 30,687 24,316KY718,983739,595275,464270,358252,998248,542247,921243,033231,846195,511185,866178,058161,365126,830115,41799,511LA100,280 94,866 94,866 94,867 94,933 94,933 94,933 94,933 94,952 94,952 94,951 94,951 94,951 94,532 82,250 35,711ME17,10012,99112,99112,99110,2339,2619,1679,1679,1674,7371,5961,5961,6141,6141,6141,614MD51,644 45,037 45,307 45,310 45,315 45,296 45,298 45,298 45,302 45,302 45,326 45,331 45,342 41,724 41,505 40,269MA17,26517,26518,19218,19218,0889,7949,7949,7949,7949,7929,7929,7929,4099,4099,2296,471MI288,082 275,961 254,380 253,322 246,264 216,119 213,931 210,814 210,186 209,109 208,361 207,278 204,634 176,901 162,980 115,797MN54,01962,03356,96854,68851,15751,08648,74648,10948,03648,10048,13748,24648,39948,34047,59446,266MS46,559 48,276 46,298 46,882 46,189 46,147 46,246 46,559 46,559 46,559 46,559 46,559 45,687 45,403 42,735 17,415MO445,643500,649289,438238,428229,132223,609212,894213,315213,507212,383211,506212,023208,787195,815182,70994,413NE120,790 115,695 119,247 113,044 88,485 77,709 74,013 73,103 73,070 72,597 71,540 71,124 70,532 69,112 45,402 32,604NH7,8237,1417,1417,1417,1417,1417,1417,0757,8237,8237,8237,8237,8237,8237,8104,594NJ38,141 39,721 39,583 26,693 26,686 20,649 20,711 20,801 20,633 20,640 20,620 20,408 17,881 17,880 17,176 13,986NY145,482142,762141,614142,656141,729137,090135,360131,533119,236118,192114,146113,574109,958100,46469,53063,119NC126,959 140,924 140,923 140,900 133,991 134,061 130,021 128,974 115,452 114,107 112,745 104,291 98,126 98,536 90,688 63,246ND77,38380,32075,75875,75857,99244,23844,23844,23844,23644,23343,14743,14443,14434,74934,70433,536OH946,672 841,199 582,611 553,120 519,216 416,607 408,417 360,017 322,162 294,000 279,388 260,273 240,024 236,063 220,824 202,875OK156,032165,773165,774125,850110,863110,863110,863110,863110,928110,928110,922110,922110,922108,996109,13926,385PA967,093 974,644 825,128 441,481 399,513 351,513 336,913 233,928 224,990 202,085 179,705 174,643 154,882 153,541 144,861 125,195RI0000000000000000SC149,619 156,200 138,182 136,788 136,174 135,090 133,783 130,689 128,119 125,319 117,547 82,933 80,482 78,322 57,010 42,183SD13,45313,45913,45813,45912,78812,78812,78812,06611,51311,04711,04611,04411,04411,04411,0442,592TN596,992 600,071 154,093 130,672 127,444 127,171 127,171 127,171 127,315 125,697 123,102 108,200 109,097 107,590 100,131 78,916TX327,905373,978369,800369,021368,499368,112345,840345,856345,723345,278342,660343,326340,570337,658309,256143,341VT351 351 351 351 351 351 351 351 351 351 351 351 351 351 351 351VA146,252136,831133,900133,525110,471110,002108,977107,564107,294105,985102,70892,54274,91465,38054,11144,761WV588,392 496,307 178,643 169,763 163,899 161,910 160,746 160,334 155,448 159,653 158,379 142,503 138,889 131,869 118,927 97,614WI107,459117,397111,279107,783108,244107,40397,49696,13394,40192,35791,62389,26288,28886,70780,56163,992*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 somemarginal costs of reductions, a higher marginal cost option may bechosen 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 SO2cost).

# 32 Table 1-5. 2012 NO

x 

# 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 desc ription of these IPM runs. Emissions ha ve

been rounded to the nearest ton. For some smaller states at so me marginal costs of reductions, a higher marginal cost option m ay 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 NO

x 

# cost).

# 33 Table 1-6. 2014 NO

x 

# 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 desc ription of these IPM runs. Emissions ha ve

been rounded to the nearest ton. For some smaller states at so me marginal costs of reductions, a higher marginal cost option m ay 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 NO

x 

# 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 PM 2.5 

# *. 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 secti on 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 PM 2.5 

# *. 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 secti on 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 Ba se 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/m 3 

# ) from the Source Appo rtionment 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 Al abama 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 Emis sions* (Tons per Year) of NO

x 

# and SO 2 

# for 2012 and

2014 for the EGU Sector and “All Other” Sectors.

NO

x 

# NO

x 

# NO

x 

# NO

x 

# SO 2 

# SO 2 

# SO 2 

# SO 2



# Year 2012 2012 2014 2014 2012 2012 2014 2014

State EGU All Other EGU All Oth er 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 mo re information about these emissions.

# DRAFT – Do Not Cite or Quote – April 30, 2010

41 Table 2-6. Fraction Reduction* of EGU NO

x 

# 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 i ndicate states and marginal cost levels where there are

modeled emissions increases over th e 2012 base case emissions level.

# DRAFT – Do Not Cite or Quote – April 30, 2010

42 Table 2-7. Fraction Reduction* of EGU NO

x 

# 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 indi cate 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, 201043Table 2-8. FractionReduction* of EGU SO2Emissions Relative to the 2012 Base Case EGU Emissions from IPM for EachState at Various Pollution Control Marginal Costs per Ton of Reduction in 2012.201220122012201220122012201220122012201220122012201220122012Marginal Cost perTon$0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL0.0000 0.0653 0.1810 0.2705 0.4081 0.4442 0.4426 0.4445 0.4959 0.4982 0.5111 0.5172 0.5361 0.5368 0.5381AR0.0000-0.00020.00610.00470.00390.00690.02850.03030.03030.02920.02870.02850.02860.02790.0242CT0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 -0.0020 -0.0031 -0.0031 -0.0031 -0.0031DE0.0000-0.1353-0.1381-0.1380-0.1376-0.1368-0.1367-0.1356-0.1355-0.1351-0.1351-0.1349-0.1348-0.1348-0.1326DC0.0000 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0152 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058FL0.00000.10530.24970.23620.37060.46640.46550.47040.46920.50130.51140.51380.52550.56840.5720GA0.0000 0.0051 0.4979 0.4995 0.5020 0.4936 0.5062 0.5085 0.5357 0.5593 0.5597 0.5639 0.5736 0.5729 0.5763IL0.00000.35500.48310.54050.62330.63140.63110.63630.63920.64650.65610.65900.66160.66320.6687IN0.0000 0.3883 0.4988 0.5480 0.5571 0.5832 0.5887 0.6135 0.6158 0.6526 0.6594 0.6605 0.6651 0.6695 0.6721IA0.00000.11280.21070.23530.24460.24950.32110.38070.38020.37950.38370.38960.39070.39270.3896KS0.0000 -0.0239 -0.0383 0.0966 0.0106 0.1891 0.2456 0.2494 0.2904 0.2981 0.2991 0.3004 0.3018 0.3093 0.3308KY0.00000.59010.60730.61780.63230.64810.66110.68380.69950.70310.71860.72910.73930.74030.7659LA0.0000 0.0100 0.0452 0.0452 0.0452 0.0452 0.0493 0.0493 0.0493 0.0493 0.0493 0.0493 0.0649 0.0649 0.0960ME0.00000.00000.04810.04640.04640.04640.04640.31210.41530.43290.60250.77000.88420.87560.8756MD0.0000 -0.0003 -0.0003 -0.0003 0.1292 0.1566 0.16790.1672 0.1694 0.2210 0.2358 0.2339 0.2394 0.2412 0.3356MA0.0000-0.0537-0.0537-0.05370.42350.42350.42350.42350.42350.42350.42350.42350.42430.42430.4243MI0.0000 0.0536 0.1086 0.1439 0.2599 0.2673 0.2743 0.2831 0.2793 0.2791 0.2816 0.2884 0.2853 0.2852 0.2935MN0.0000-0.00370.05730.09910.11050.10930.10930.10930.10550.10630.10650.09770.10640.11500.1243MS0.0000 0.0000 0.0000 0.0000 0.0088 0.0091 0.0089 0.0090 0.0000 0.0021 0.0019 0.0021 0.0020 0.0187 0.0198MO0.00000.44270.49780.50280.51020.51240.52690.55540.56220.56400.56460.56490.56650.55690.5450NE0.0000 0.0074 0.0118 0.0251 0.0572 0.1153 0.3452 0.3761 0.3853 0.3895 0.3906 0.3979 0.4002 0.4002 0.4078NH0.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000NJ0.0000 0.0000 0.3239 0.3265 0.3407 0.4956 0.4956 0.4956 0.4998 0.4896 0.4896 0.4919 0.4938 0.4938 0.4938NY0.00000.00000.00000.00440.00370.00670.01310.01390.11020.17160.17630.18470.24360.24550.3118NC0.0000 0.0855 0.0216 0.0615 0.0944 0.1200 0.1212 0.1556 0.1650 0.1657 0.2112 0.1992 0.2165 0.2238 0.2372ND0.00000.02110.02110.02210.02210.02210.42840.42840.42840.44250.44250.44250.44300.44300.4430OH0.0000 0.4033 0.5148 0.5413 0.5706 0.6185 0.6520 0.6820 0.6910 0.6936 0.7218 0.7377 0.7425 0.7462 0.7587OK0.0000-0.02400.00480.14000.27710.25950.32930.32930.32930.32930.32930.32930.32930.32930.3293PA0.0000 0.1247 0.5729 0.6199 0.6364 0.6705 0.6839 0.7000 0.7050 0.7135 0.7498 0.7572 0.7609 0.7613 0.7681RI0.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000SC0.0000 0.0481 0.0188 0.0344 0.0636 0.0684 0.0785 0.0867 0.1415 0.1836 0.1871 0.2024 0.2053 0.2070 0.2343SD0.00000.00000.04990.04990.04990.11400.11400.11400.11400.11400.11400.11400.11400.11400.1140TN0.0000 0.5904 0.7810 0.7842 0.7867 0.7870 0.7870 0.7886 0.7886 0.7884 0.7887 0.7935 0.7957 0.8159 0.8175TX0.00000.00350.02660.03050.03090.09900.09910.10240.10270.10330.10370.10370.10370.10370.1052VT0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000VA0.00000.00020.07890.15960.16420.16420.16890.18080.20820.23940.24090.25640.25980.27080.2895WV0.0000 0.6455 0.6803 0.7094 0.7469 0.7565 0.7598 0.7758 0.7855 0.7874 0.7912 0.7953 0.7974 0.8025 0.8060WI0.00000.05530.08150.08470.05310.14140.13990.18920.19050.19730.16280.14870.15630.15610.1434*Negative reduction fractions indicate states and marginal cost levels where there are modeled emissionsincreases over the 2012 basecase emissions level.DRAFT – Do Not Cite or Quote – April 30, 201044Table 2-9. FractionReduction* of EGU SO2Emissions Relative to the 2012 Base Case EGU Emissions from IPM for EachState 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 emissionsincreases over the 2012 basecase emissions level.2012201420142014201420142014201420142014201420142014201420142014MarginalCost per Ton$0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL0.0000 0.0405 0.0864 0.2341 0.3130 0.4738 0.4908 0.5012 0.5047 0.5055 0.5222 0.5640 0.6916 0.6984 0.7505 0.7897AR0.0000-0.0366-0.0369-0.0035-0.0039-0.0038-0.0038-0.0038-0.0042-0.0040-0.00450.01010.01980.03930.16430.8478CT0.0000 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 -0.0031 0.4518 0.4518 0.4518 0.4660 0.5343DE0.0000-0.0304-0.1573-0.1601-0.1624-0.1624-0.1626-0.1632-0.1632-0.1632-0.1083-0.1103-0.1103-0.0871-0.0083-0.0083DC0.0000 0.0000 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058 -0.0152 -0.0058 -0.0058 -0.0058 -0.0058 -0.0058FL0.00000.15440.22820.25660.25780.39910.49170.49030.49210.50910.51250.51780.63310.65900.67900.6970GA0.0000 0.6862 0.7001 0.7537 0.7521 0.7581 0.7585 0.7615 0.7659 0.7885 0.8053 0.8166 0.8277 0.8342 0.8450 0.8788IL0.00000.72330.74520.77210.77330.77220.77230.77210.77210.77430.77250.77260.77410.77850.78590.8025IN0.0000 0.0310 0.4236 0.4787 0.5760 0.5858 0.6047 0.6078 0.6235 0.6495 0.6541 0.6573 0.6875 0.7089 0.7262 0.7715IA0.00000.03000.16930.23170.28870.33620.37280.37530.38090.37750.38170.38520.38840.39390.40030.5851KS0.0000 -0.0933 -0.0804 0.0627 0.1779 0.1752 0.1764 0.2075 0.2185 0.2282 0.2329 0.2352 0.2429 0.4477 0.4848 0.5918KY0.0000-0.02870.61690.62400.64810.65430.65520.66200.67750.72810.74150.75230.77560.82360.83950.8616LA0.0000 0.0540 0.0540 0.0540 0.0533 0.0533 0.0533 0.0533 0.0531 0.0531 0.0531 0.0531 0.0531 0.0573 0.1798 0.6439ME0.00000.24030.24030.24030.40160.45840.46390.46390.46390.72300.90670.90670.90560.90560.90560.9056MD0.0000 0.1279 0.1227 0.1226 0.1225 0.1229 0.1229 0.1229 0.1228 0.1228 0.1223 0.1222 0.1220 0.1921 0.1963 0.2203MA0.00000.0000-0.0537-0.0537-0.04770.43280.43280.43280.43280.43290.43290.43290.45510.45500.46540.6252MI0.0000 0.0421 0.1170 0.1207 0.1452 0.2498 0.2574 0.2682 0.2704 0.2741 0.2767 0.2805 0.2897 0.3859 0.4343 0.5980MN0.0000-0.1484-0.0546-0.01240.05300.05430.09760.10940.11070.10960.10890.10690.10400.10510.11890.1435MS0.0000 -0.0369 0.0056 -0.0069 0.0080 0.0089 0.0067 0.0000 0.0000 0.0000 0.0000 0.0000 0.0187 0.0248 0.0821 0.6260MO0.0000-0.12340.35050.46500.48580.49820.52230.52130.52090.52340.52540.52420.53150.56060.59000.7881NE0.0000 0.0422 0.0128 0.0641 0.2675 0.3567 0.3873 0.3948 0.3951 0.3990 0.4077 0.4112 0.4161 0.4278 0.6241 0.7301NH0.00000.08720.08720.08720.08720.08720.08720.09570.00000.00000.00000.00000.00000.00000.00170.4128NJ0.0000 -0.0414 -0.0378 0.3002 0.3003 0.4586 0.4570 0.4546 0.4590 0.4589 0.4594 0.4649 0.5312 0.5312 0.5497 0.6333NY0.00000.01870.02660.01940.02580.05770.06960.09590.18040.18760.21540.21930.24420.30940.52210.5661NC0.0000 -0.1100 -0.1100 -0.1098 -0.0554 -0.0559 -0.0241 -0.0159 0.0906 0.1012 0.1120 0.1785 0.2271 0.2239 0.2857 0.5018ND0.0000-0.03800.02100.02100.25060.42830.42830.42830.42830.42840.44240.44250.44250.55090.55150.5666OH0.0000 0.1114 0.3846 0.4157 0.4515 0.5599 0.5686 0.6197 0.6597 0.6894 0.7049 0.7251 0.7465 0.7506 0.7667 0.7857OK0.0000-0.0624-0.06240.19340.28950.28950.28950.28950.28910.28910.28910.28910.28910.30150.30050.8309PA0.0000 -0.0078 0.1468 0.5435 0.5869 0.6365 0.6516 0.7581 0.7674 0.7910 0.8142 0.8194 0.8398 0.8412 0.8502 0.8705RI0.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000SC0.0000 -0.0440 0.0764 0.0858 0.0899 0.0971 0.1058 0.1265 0.1437 0.1624 0.2144 0.4457 0.4621 0.4765 0.6190 0.7181SD0.0000-0.0004-0.0004-0.00040.04940.04940.04940.10310.14420.17880.17890.17900.17900.17900.17900.8073TN0.0000 -0.0052 0.7419 0.7811 0.7865 0.7870 0.7870 0.7870 0.7867 0.7894 0.7938 0.8188 0.8173 0.8198 0.8323 0.8678TX0.0000-0.1405-0.1278-0.1254-0.1238-0.1226-0.0547-0.0547-0.0543-0.0530-0.0450-0.0470-0.0386-0.02970.05690.5629VT0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000VA0.00000.06440.08450.08700.24470.24790.25490.26450.26640.27530.29770.36720.48780.55300.63000.6939WV0.0000 0.1565 0.6964 0.7115 0.7214 0.7248 0.7268 0.7275 0.7358 0.7287 0.7308 0.7578 0.7640 0.7759 0.7979 0.8341WI0.0000-0.0925-0.0355-0.0030-0.00730.00050.09270.10540.12150.14050.14740.16930.17840.19310.25030.4045

# DRAFT – Do Not Cite or Quote – April 30, 2010

45 Table 2-10. Fraction Reduction* of EGU NO

x 

# 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 -0.005 8 -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 indi cate 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 NO

x 

# 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 indi cate 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 NO

x 

# EGU Emissions* for Each State at Various Pollution Control Marginal

Costs per Ton of Reduction (Tons). (These Va lues 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 margin al 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 NO

x 

# cost). As described in the text, the emissions values from IPM Tables 1-1 through 1-6 were adjusted to match the emissions inventory f or EGUs used in

the air quality modeling.

# DRAFT – Do Not Cite or Quote – April 30, 2010

48 Table 2-13. 2014 NO

x 

# EGU Emissions* for Each State at Various Pollution Control Marginal

Costs per Ton of Reduction (Tons). (These Va lues 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 margin al 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 NO

x 

# cost). As described in the text, the emissions values from IPM Tables 1-1 through 1-6 were adjusted to match the emissions inventory f or EGUs used in

the air quality modeling.DRAFT – Do Not Cite or Quote – April 30, 201049Table 2-14. 2012 SO2EGU Emissions* for Each State at Various Pollution Control Marginal Costs per Ton of Reduction(Tons). (These Values Have Been Adjusted to Match the AirQuality Modeling EGU Inventory.)201220122012201220122012201220122012201220122012201220122012Marginal Cost perTon$0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL335,734 313,794 274,958 244,907 198,718 186,607 187,141 186,511 169,257 168,473 164,145 162,107 155,741 155,506 155,083AR85,06885,08284,54984,66584,73784,48482,63982,49382,49382,58582,62782,64682,63982,69283,008CT5,493 5,493 5,493 5,493 5,493 5,493 5,493 5,493 5,493 5,493 5,504 5,510 5,510 5,510 5,510DE7,8418,9018,9248,9238,9198,9138,9138,9048,9038,9008,9008,8998,8988,8988,880DC0 0 0 0 0 0 0 0 0 0 0 0 0 0 0FL228,360204,309171,348174,431143,719121,849122,063120,939121,209113,888111,579111,040108,36798,56197,748GA552,007 549,215 277,169 276,279 274,876 279,553 272,591 271,312 256,311 243,291 243,031 240,710 235,399 235,736 233,912IL724,657467,395374,583332,982272,987267,131267,316263,562261,491256,141249,208247,115245,228244,037240,110IN829,988 507,712 416,022 375,114 367,607 345,979 341,384 320,814 318,852 288,304 282,665 281,772 277,966 274,344 272,189IA169,039149,965133,422129,273127,692126,857114,764104,689104,763104,889104,183103,184102,990102,653103,184KS59,567 60,991 61,847 53,815 58,933 48,304 44,936 44,709 42,266 41,809 41,750 41,674 41,591 41,142 39,865KY718,980294,696282,336274,775264,346253,006243,696227,353216,028213,446202,338194,764187,420186,708168,279LA100,239 99,232 95,710 95,710 95,710 95,710 95,300 95,300 95,300 95,300 95,300 95,300 93,732 93,732 90,617ME15,75915,75915,00115,02715,02715,02715,02710,8409,2148,9386,2653,6251,8241,9601,960MD49,078 49,091 49,091 49,091 42,739 41,391 40,838 40,870 40,765 38,232 37,507 37,599 37,331 37,239 32,607MA16,29917,17417,17417,1749,3979,3969,3969,3969,3969,3969,3969,3969,3849,3849,384MI287,807 272,374 256,562 246,399 212,994 210,868 208,872 206,316 207,412 207,490 206,765 204,811 205,709 205,720 203,322MN53,59653,79250,52548,28647,67147,74047,74047,73647,93947,89647,88648,36147,89547,43446,935MS46,432 46,432 46,432 46,432 46,024 46,009 46,017 46,014 46,432 46,334 46,346 46,333 46,338 45,563 45,511MO445,643248,353223,797221,589218,297217,311210,831198,137195,095194,323194,029193,878193,167197,487202,781NE120,790 119,894 119,367 117,763 113,884 106,859 79,097 75,357 74,253 73,744 73,610 72,734 72,444 72,444 71,530NH7,2907,2907,2907,2907,2907,2907,2907,2907,2907,2907,2907,2907,2907,2907,290NJ37,746 37,746 25,519 25,422 24,886 19,041 19,041 19,041 18,880 19,267 19,267 19,177 19,107 19,107 19,107NY144,074144,074144,074143,435143,543143,110142,194142,076128,195119,344118,669117,461108,975108,70599,145NC126,620 115,795 123,881 118,836 114,665 111,421 111,272 106,917 105,733 105,633 99,877 101,399 99,206 98,285 96,585ND77,38375,74875,74875,67575,67575,67544,22944,22944,22943,14443,14443,14443,10043,10043,100OH946,667 564,832 459,343 434,210 406,454 361,164 329,410 301,075 292,564 290,057 263,388 248,314 243,741 240,219 228,385OK156,032159,773155,287134,188112,796115,548104,644104,644104,644104,644104,644104,644104,644104,644104,644PA966,136 845,651 412,620 367,275 351,281 318,368 305,434 289,866 284,976 276,755 241,713 234,613 231,030 230,591 224,002RI000000000000000SC149,515 142,324 146,705 144,365 140,009 139,283 137,771 136,558 128,361 122,071 121,536 119,248 118,826 118,561 114,483SD13,45313,45312,78212,78212,78211,91911,91911,91911,91911,91911,91911,91911,91911,91911,919TN596,987 244,524 130,744 128,847 127,322 127,179 127,179 126,187 126,186 126,329 126,150 123,282 121,992 109,882 108,971TX327,873326,728319,143317,873317,739295,406295,385294,309294,216294,009293,873293,873293,873293,874293,382VT0 0 0 0 0 0 0 0 0 0 0 0 0 0 0VA145,452145,426133,969122,244121,575121,576120,890119,159115,173110,637110,419108,162107,657106,061103,346WV588,392 208,559 188,135 170,963 148,949 143,292 141,357 131,943 126,186 125,069 122,866 120,442 119,232 116,186 114,165WI107,365101,43198,61398,270101,66692,18792,34587,04986,90986,18089,88691,39690,58390,60491,972* 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 alower system-wide total cost (because the model is optimizing for overall system cost, not for lowest SO2cost).As described in the text, the emissions values from IPM Tables 1-1 through 1-6 wereadjusted to match the emissions inventory for EGUs used in the air quality modeling.DRAFT – Do Not Cite or Quote – April 30, 201050Table 2-15. 2014 SO2EGU Emissions* for Each State at Various Pollution Control Marginal Costs per Ton of Reduction(Tons). (These Values Have Been Adjusted to Match the AirQuality Modeling EGU Inventory.)2012201420142014201420142014201420142014201420142014201420142014Marginal Cost per Ton$0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL335,734 322,139 306,721 257,134 230,657 176,661 170,969 167,470 166,298 166,031 160,408 146,375 103,546 101,252 83,772 70,606AR85,06888,18588,20885,36285,39685,39585,39385,39385,42385,40885,45284,21183,38081,72571,09312,948CT5,493 5,510 5,510 5,510 5,510 5,510 5,510 5,510 5,510 5,510 5,510 3,011 3,011 3,011 2,933 2,558DE7,8418,0799,0749,0969,1149,1149,1159,1209,1209,1208,6908,7068,7068,5247,9067,906DC0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0FL228,360193,097176,253169,752169,492137,218116,066116,401115,975112,097111,326110,12383,78077,88273,30169,193GA552,007 173,242 165,539 135,966 136,832 133,552 133,335 131,641 129,207 116,723 107,452 101,230 95,112 91,498 85,572 66,887IL724,657200,482184,623165,123164,286165,088165,030165,131165,126163,546164,855164,762163,665160,539155,170143,137IN829,988 804,298 478,389 432,713 351,941 343,765 328,077 325,530 312,530 290,886 287,106 284,426 259,367 241,595 227,218 189,685IA169,039163,966140,426129,873120,245112,214106,014105,592104,644105,229104,510103,923103,377102,461101,37870,136KS59,567 65,125 64,354 55,833 48,971 49,130 49,058 47,206 46,551 45,973 45,694 45,556 45,096 32,897 30,687 24,316KY718,980739,592275,463270,357252,997248,541247,920243,032231,845195,510185,866178,057161,364126,829115,41799,510LA100,239 94,827 94,827 94,828 94,893 94,893 94,893 94,893 94,913 94,913 94,911 94,911 94,911 94,493 82,216 35,697ME15,75911,97211,97211,9729,4318,5358,4488,4488,4484,3661,4701,4701,4881,4881,4881,488MD49,078 42,799 43,056 43,059 43,064 43,046 43,048 43,048 43,051 43,051 43,074 43,079 43,089 39,651 39,443 38,269MA16,29916,29917,17417,17417,0769,2469,2469,2469,2469,2449,2449,2448,8828,8838,7136,109MI287,807 275,697 254,136 253,080 246,028 215,913 213,726 210,613 209,985 208,909 208,162 207,080 204,438 176,732 162,824 115,686MN53,59661,54756,52254,25950,75650,68648,36447,73247,66047,72347,76047,86848,01947,96147,22145,903MS46,432 48,145 46,172 46,755 46,063 46,021 46,120 46,432 46,432 46,432 46,432 46,432 45,563 45,279 42,619 17,368MO445,643500,649289,438238,429229,132223,609212,894213,315213,507212,383211,506212,023208,787195,815182,70994,413NE120,790 115,696 119,247 113,044 88,485 77,709 74,013 73,104 73,070 72,597 71,540 71,124 70,532 69,112 45,402 32,604NH7,2906,6546,6546,6546,6546,6546,6546,5927,2907,2907,2907,2907,2907,2907,2784,281NJ37,746 39,310 39,173 26,416 26,410 20,435 20,497 20,585 20,420 20,426 20,407 20,196 17,696 17,695 16,998 13,841NY144,074141,380140,244141,276140,357135,763134,050130,260118,082117,048113,042112,475108,89499,49268,85762,509NC126,620 140,548 140,548 140,524 133,633 133,704 129,675 128,630 115,144 113,803 112,444 104,013 97,865 98,273 90,446 63,078ND77,38380,32075,75875,75857,99244,23844,23844,23844,23644,23343,14743,14443,14434,74934,70433,536OH946,667 841,195 582,608 553,116 519,213 416,605 408,415 360,015 322,160 293,998 279,386 260,271 240,023 236,062 220,822 202,873OK156,032165,773165,774125,850110,863110,863110,863110,863110,928110,928110,922110,922110,922108,996109,13926,385PA966,136 973,679 824,311 441,044 399,118 351,165 336,579 233,697 224,767 201,885 179,527 174,470 154,729 153,389 144,718 125,071RI0000000000000000SC149,515 156,092 138,086 136,694 136,080 134,996 133,690 130,598 128,030 125,232 117,466 82,876 80,426 78,268 56,970 42,154SD13,45313,45913,45813,45912,78812,78812,78812,06611,51311,04711,04611,04411,04411,04411,0442,592TN596,987 600,066 154,092 130,670 127,443 127,170 127,170 127,170 127,314 125,696 123,101 108,199 109,096 107,589 100,131 78,915TX327,873373,941369,764368,985368,462368,075345,806345,822345,689345,244342,626343,292340,536337,625309,226143,327VT0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0VA145,452136,083133,168132,795109,867109,400108,381106,976106,707105,405102,14692,03674,50465,02253,81544,517WV588,392 496,307 178,643 169,763 163,899 161,910 160,746 160,334 155,448 159,653 158,379 142,503 138,889 131,869 118,927 97,614WI107,365117,293111,181107,688108,149107,30997,41096,04894,31892,27691,54289,18488,21086,63180,49063,936* 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 alower system-wide total cost (because the model is optimizing for overall system cost, not for lowest SO2cost).As described in the text, the emissions values from IPM Tables 1-1 through 1-6 wereadjusted 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 NO

x 

# EGU Emissions* for Each State at Various Pollution Control Marginal

Costs per Ton of Reduction (Tons) for Ozone Seas on. (These Values H ave Been Adjusted to

Match the Air Quality Mo deling 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 margin al cost option if it allows systemwide electrical demand to be met at a lower system-wide total co st (because the model is optimizing for overall system cost, n ot for lowest NO

x 

# 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 NO

x 

# EGU Emissions* for Each State at Various Pollution Control Marginal

Costs per Ton of Reduction (Tons) for Ozone Seas on. (These Values H ave Been Adjusted to

Match the Air Quality Mo deling 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, 245 110,117 109,151 109,1 68 108,828 107,641 104,329

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 43,91 8 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, 242 188,265 186,483 185,7 28 183,655 174,515 171,682

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 37,51 8 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 35,97 0 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 19,04 3 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 93,50 7 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 18,37 8 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 28,65 8 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 22,79 9 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 61,12 9 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, 722 164,890 159,613 159,3 18 157,960 157,615 143,382

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, 785 197,579 198,350 197,4 97 196,804 196,806 154,881

RI 221 239 219 219 219 219 219 228 227 227

SC 47,762 47,426 46,858 46, 035 45,826 45,474 44,83 7 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 69,04 2 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 86,70 7 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 margin al cost option if it allows systemwide electrical demand to be met at a lower system-wide total co st (because the model is optimizing for overall system cost, n ot for lowest NO

x 

# 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 NO

x 

# 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 margin al

cost option if it allows system-wide electrical demand to be met at a lower system-wide total co st (because the model is optim izing

for overall system cost, not for lowest NO

x 

# cost).

# DRAFT – Do Not Cite or Quote – April 30, 2010

54 Table 2-19. Total Estimated NO

x 

# 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 margin al 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 fo r lowest NO

x 

# cost).DRAFT – Do Not Cite or Quote – April 30, 201055Table 2-20. Total Estimated SO2Emissions* (Tons) in 2012 forthe Annual Air Quality Modeling.201220122012201220122012201220122012201220122012201220122012Marginal Cost perTon$0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL462,297 440,357 401,521 371,470 325,281 313,170 313,704 313,074 295,820 295,036 290,708 288,669 282,304 282,069 281,646AR127,259127,273126,741126,857126,928126,676124,831124,685124,685124,777124,819124,838124,831124,884125,200CT27,392 27,392 27,393 27,393 27,393 27,393 27,393 27,393 27,393 27,393 27,403 27,409 27,409 27,409 27,409DE38,97040,03040,05240,05240,04840,04240,04240,03340,03240,02940,02940,02740,02740,02740,009DC2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296 2,296FL467,498443,447410,485413,568382,857360,986361,201360,076360,346353,026350,717350,178347,504337,699336,885GA676,193 673,402 401,355 400,466 399,062 403,739 396,777 395,499 380,498 367,477 367,218 364,897 359,586 359,923 358,098IL866,396609,134516,322474,721414,726408,870409,055405,301403,230397,880390,947388,854386,967385,776381,849IN986,626 664,350 572,660 531,752 524,244 502,617 498,021 477,451 475,489 444,942 439,302 438,409 434,604 430,982 428,826IA250,954231,880215,337211,188209,607208,772196,679186,604186,678186,804186,098185,099184,905184,568185,099KS109,915 111,339 112,195 104,163 109,281 98,652 95,284 95,057 92,614 92,157 92,098 92,022 91,939 91,490 90,213KY781,249356,964344,605337,044326,615315,274305,965289,621278,297275,715264,607257,033249,689248,977230,548LA341,731 340,725 337,202 337,202 337,202 337,202 336,793 336,793 336,793 336,793 336,793 336,793 335,224 335,224 332,110ME48,46048,46047,70247,72947,72947,72947,72943,54241,91641,63938,96636,32634,52634,66134,661MD142,672 142,685 142,685 142,685 136,333 134,985 134,432 134,464 134,359 131,825 131,100 131,193 130,924 130,833 126,200MA91,65792,53292,53292,53284,75484,75484,75484,75484,75484,75484,75484,75484,74184,74184,741MI415,132 399,699 383,887 373,725 340,320 338,193 336,198 333,641 334,737 334,815 334,090 332,136 333,034 333,046 330,647MN95,99796,19492,92690,68890,07290,14290,14290,13890,34090,29790,28790,76290,29789,83589,337MS81,166 81,166 81,166 81,166 80,758 80,744 80,751 80,748 81,166 81,068 81,080 81,067 81,072 80,297 80,245MO570,761373,471348,914346,707343,415342,428335,949323,255320,213319,440319,147318,995318,285322,604327,899NE157,921 157,025 156,498 154,894 151,015 143,990 116,227 112,488 111,384 110,875 110,741 109,865 109,575 109,575 108,661NH18,18318,18318,18318,18318,18318,18318,18318,18318,18318,18318,18318,18318,18318,18318,183NJ81,327 81,327 69,100 69,003 68,467 62,622 62,622 62,622 62,462 62,848 62,848 62,758 62,688 62,688 62,688NY341,818341,817341,817341,178341,286340,853339,937339,819325,938317,088316,412315,204306,718306,449296,889NC265,240 254,415 262,501 257,456 253,285 250,041 249,892 245,537 244,353 244,253 238,497 240,019 237,826 236,905 235,205ND93,72292,08792,08792,01392,01392,01360,56760,56760,56759,48359,48359,48359,43859,43859,438OH1,076,493 694,658 589,169 564,036 536,280 490,990 459,236 430,901 422,389 419,883 393,214 378,140 373,567 370,044 358,211OK201,791205,532201,046179,946158,554161,307150,403150,403150,403150,403150,403150,403150,403150,403150,403PA1,119,712 999,227 566,196 520,852 504,858 471,944 459,010 443,442 438,553 430,332 395,289 388,190 384,606 384,168 377,579RI9,0699,0699,0699,0699,0699,0699,0699,0699,0699,0699,0699,0699,0699,0699,069SC234,846 227,655 232,036 229,697 225,340 224,615 223,102 221,889 213,692 207,403 206,867 204,579 204,157 203,892 199,814SD26,14726,14725,47625,47625,47624,61424,61424,61424,61424,61424,61424,61424,61424,61424,614TN709,182 356,720 242,940 241,043 239,518 239,375 239,375 238,382 238,382 238,525 238,346 235,478 234,188 222,078 221,166TX640,682639,538631,952630,682630,549608,215608,194607,118607,026606,818606,683606,683606,683606,683606,191VT6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432 6,432VA263,963263,936252,480240,754240,086240,086239,400237,670233,683229,148228,929226,673226,168224,572221,857WV645,646 265,813 245,389 228,217 206,203 200,546 198,612 189,198 183,440 182,323 180,120 177,696 176,487 173,440 171,419WI181,830175,896173,078172,735176,132166,652166,810161,514161,375160,646164,351165,862165,048165,069166,438* 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 alower system-wide total cost (because the model is optimizing for overall system cost, not for lowest SO2cost).DRAFT – Do Not Cite or Quote – April 30, 201056Table 2-21. Total Estimated SO2emissions* (Tons) in 2014 forthe Annual Air Quality Modeling.2012201420142014201420142014201420142014201420142014201420142014Marginal Cost per Ton$0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL462,297 447,062 431,644 382,057 355,580 301,584 295,893 292,393 291,221 290,954 285,332 271,299 228,469 226,176 208,695 195,529AR127,259129,712129,735126,889126,923126,922126,920126,920126,950126,935126,980125,738124,907123,252112,62054,475CT27,392 27,421 27,421 27,421 27,421 27,421 27,421 27,421 27,421 27,421 27,421 24,922 24,922 24,922 24,844 24,469DE38,97039,90840,90340,92540,94340,94340,94440,94940,94940,95040,51940,53540,53540,35339,73539,735DC2,296 2,291 2,291 2,291 2,291 2,291 2,291 2,2912,291 2,291 2,291 2,291 2,291 2,291 2,291 2,291FL467,498438,853422,008415,508415,247382,973361,821362,156361,731357,852357,081355,878329,536323,637319,057314,948GA676,193 297,650 289,946 260,373 261,239 257,959 257,742 256,049 253,615 241,131 231,859 225,637 219,520 215,905 209,979 191,295IL866,396340,602324,743305,243304,406305,208305,150305,251305,247303,667304,975304,882303,786300,659295,290283,257IN986,626 960,126 634,217 588,541 507,769 499,594 483,906 481,359 468,358 446,714 442,934 440,254 415,196 397,424 383,046 345,513IA250,954244,448220,907210,355200,726192,695186,495186,073185,126185,710184,991184,405183,858182,942181,860150,617KS109,915 115,018 114,247 105,727 98,864 99,023 98,951 97,099 96,444 95,866 95,587 95,450 94,989 82,790 80,581 74,209KY781,249798,755334,626329,520312,160307,704307,083302,195291,008254,673245,029237,220220,527185,992174,580158,674LA341,731 327,873 327,874 327,875 327,940 327,940 327,940 327,940 327,960 327,960 327,958 327,958 327,958 327,540 315,263 268,744ME48,46044,96244,96244,96242,42141,52541,43841,43841,43837,35634,46034,46034,47734,47734,47734,477MD142,672 136,273 136,530 136,533 136,538 136,520 136,522 136,522 136,525 136,525 136,548 136,553 136,563 133,125 132,917 131,743MA91,65793,89194,76594,76594,66786,83786,83786,83786,83786,83586,83586,83586,47386,47486,30483,700MI415,132 402,934 381,373 380,317 373,265 343,149 340,963 337,849 337,221 336,146 335,398 334,316 331,674 303,968 290,061 242,923MN95,997103,10598,07995,81792,31492,24489,92289,29089,21789,28189,31789,42589,57789,51988,77887,461MS81,166 82,072 80,100 80,682 79,991 79,949 80,048 80,360 80,360 80,360 80,360 80,360 79,490 79,207 76,546 51,296MO570,761623,473412,262361,253351,957346,433335,719336,139336,332335,207334,330334,847331,612318,639305,533217,237NE157,921 152,072 155,624 149,421 124,861 114,086 110,390 109,480 109,447 108,974 107,917 107,501 106,909 105,489 81,778 68,981NH18,18317,52317,52317,52317,52317,52317,52317,46118,15918,15918,15918,15918,15918,15918,14715,150NJ81,327 84,227 84,090 71,333 71,326 65,352 65,414 65,502 65,336 65,343 65,324 65,113 62,612 62,611 61,915 58,758NY341,818337,720336,584337,615336,697332,103330,390326,600314,422313,388309,382308,815305,234295,832265,197258,848NC265,240 283,143 283,143 283,120 276,229 276,299 272,270 271,225 257,739 256,398 255,040 246,608 240,460 240,868 233,042 205,673ND93,72296,40791,84591,84574,07960,32560,32560,32560,32360,32059,23459,23159,23150,83650,79149,623OH1,076,493 969,406 710,819 681,328 647,425 544,816 536,626 488,226 450,372 422,209 407,598 388,483 368,234 364,273 349,034 331,085OK201,791211,268211,269171,345156,358156,358156,358156,358156,423156,423156,417156,417156,417154,491154,63471,880PA1,119,712 1,123,578 974,210 590,942 549,017 501,064 486,478 383,596 374,666 351,783 329,426 324,369 304,628 303,288 294,616 274,970RI9,0699,3239,3239,3239,3239,3239,3239,3239,3239,3239,3239,3239,3239,3239,3239,323SC234,846 243,124 225,119 223,726 223,113 222,029 220,723 217,631 215,063 212,265 204,499 169,908 167,459 165,301 144,003 129,187SD26,14726,11326,11226,11225,44225,44225,44124,72024,16723,70123,70023,69823,69823,69823,69815,246TN709,182 711,647 265,673 242,251 239,024 238,751 238,751 238,751 238,894 237,277 234,681 219,780 220,677 219,170 211,711 190,496TX640,682678,653674,475673,696673,174672,787650,518650,534650,401649,956647,338648,004645,248642,336613,937448,038VT6,432 6,439 6,439 6,439 6,439 6,439 6,439 6,4396,439 6,439 6,439 6,439 6,439 6,439 6,439 6,439VA263,963255,100252,185251,812228,885228,417227,399225,993225,724224,422221,163211,053193,521184,040172,832163,534WV645,646 553,218 235,554 226,673 220,809 218,820 217,656 217,244 212,358 216,564 215,289 199,413 195,799 188,779 175,837 154,524WI181,830191,502185,390181,897182,357181,518171,619170,257168,527166,485165,751163,392162,419160,839154,699138,144* 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 alower system-wide total cost (because the model is optimizing for overall system cost, not for lowest SO2cost).

# DRAFT – Do Not Cite or Quote – April 30, 2010

57 Table 2-22. Total Estimated NO

x 

# Emissions* (Tons) in 2012 fo r 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 margin al cost option if it

allows system-wide electrical demand to be met at a lower syst em-wide total cost (because the model is optimizing for overall s ystem cost, not for

lowest NO

x 

# cost).

# DRAFT – Do Not Cite or Quote – April 30, 2010

58 Table 2-23. Total Estimated NO

x 

# 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 margin al cost option if it

allows system-wide electrical demand to be met at a lower syst em-wide total cost (because the model is optimizing for overall s ystem cost, not for

lowest NO

x 

# cost).

# DRAFT – Do Not Cite or Quote – April 30, 2010

59 Table 2-24. Fraction* of Total NO

x 

# 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 margin al cost to the next leading to increasing values. For cases

where the fraction is greater than 1, total state emissions ar e 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 NO

x 

# 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 margin al 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 caseDRAFT – Do Not Cite or Quote – April 30, 201061Table 2-26. Fraction* of Total SO2Emissions at Various MarginalCosts per Ton in 2012 to the Total Emissions in the 2012 Base.201220122012201220122012201220122012201220122012201220122012Marginal Costper Ton$0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL1.0000 0.9525 0.8685 0.8035 0.7036 0.6774 0.6786 0.6772 0.6399 0.6382 0.6288 0.6244 0.6107 0.6101 0.6092AR1.00001.00010.99590.99680.99740.99540.98090.97980.97980.98050.98080.98100.98090.98130.9838CT1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0004 1.0006 1.0006 1.0006 1.0006DE1.00001.02721.02781.02781.02771.02751.02751.02731.02731.02721.02721.02711.02711.02711.0267DC1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000FL1.00000.94860.87800.88460.81890.77220.77260.77020.77080.75510.75020.74900.74330.72240.7206GA1.0000 0.9959 0.5936 0.5922 0.5902 0.5971 0.5868 0.5849 0.5627 0.5434 0.5431 0.5396 0.5318 0.5323 0.5296IL1.00000.70310.59590.54790.47870.47190.47210.46780.46540.45920.45120.44880.44660.44530.4407IN1.0000 0.6734 0.5804 0.5390 0.5314 0.5094 0.5048 0.4839 0.4819 0.4510 0.4453 0.4444 0.4405 0.4368 0.4346IA1.00000.92400.85810.84150.83520.83190.78370.74360.74390.74440.74160.73760.73680.73550.7376KS1.0000 1.0130 1.0207 0.9477 0.9942 0.8975 0.8669 0.8648 0.8426 0.8384 0.8379 0.8372 0.8365 0.8324 0.8207KY1.00000.45690.44110.43140.41810.40360.39160.37070.35620.35290.33870.32900.31960.31870.2951LA1.0000 0.9971 0.9867 0.9867 0.9867 0.9867 0.9855 0.9855 0.9855 0.9855 0.9855 0.9855 0.9810 0.9810 0.9718ME1.00001.00000.98440.98490.98490.98490.98490.89850.86490.85920.80410.74960.71250.71530.7153MD1.0000 1.0001 1.0001 1.0001 0.9556 0.9461 0.9422 0.9425 0.9417 0.9240 0.9189 0.9195 0.9177 0.9170 0.8845MA1.00001.00951.00951.00950.92470.92470.92470.92470.92470.92470.92470.92470.92450.92450.9245MI1.0000 0.9628 0.9247 0.9003 0.8198 0.8147 0.8099 0.8037 0.8063 0.8065 0.8048 0.8001 0.8022 0.8023 0.7965MN1.00001.00200.96800.94470.93830.93900.93900.93900.94110.94060.94050.94550.94060.93580.9306MS1.0000 1.0000 1.0000 1.0000 0.9950 0.9948 0.9949 0.9948 1.0000 0.9988 0.9989 0.9988 0.9988 0.9893 0.9887MO1.00000.65430.61130.60740.60170.60000.58860.56640.56100.55970.55920.55890.55770.56520.5745NE1.0000 0.9943 0.9910 0.9808 0.9563 0.9118 0.7360 0.7123 0.7053 0.7021 0.7012 0.6957 0.6939 0.6939 0.6881NH1.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.0000NJ1.0000 1.0000 0.8497 0.8485 0.8419 0.7700 0.7700 0.7700 0.7680 0.7728 0.7728 0.7717 0.7708 0.7708 0.7708NY1.00001.00001.00000.99810.99840.99720.99450.99420.95350.92770.92570.92210.89730.89650.8686NC1.0000 0.9592 0.9897 0.9707 0.9549 0.9427 0.9421 0.9257 0.9213 0.9209 0.8992 0.9049 0.8966 0.8932 0.8868ND1.00000.98260.98260.98180.98180.98180.64620.64620.64620.63470.63470.63470.63420.63420.6342OH1.0000 0.6453 0.5473 0.5240 0.4982 0.4561 0.4266 0.4003 0.3924 0.3900 0.3653 0.3513 0.3470 0.3438 0.3328OK1.00001.01850.99630.89170.78570.79940.74530.74530.74530.74530.74530.74530.74530.74530.7453PA1.0000 0.8924 0.5057 0.4652 0.4509 0.4215 0.4099 0.3960 0.3917 0.3843 0.3530 0.3467 0.3435 0.3431 0.3372RI1.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.00001.0000SC1.0000 0.9694 0.9880 0.9781 0.9595 0.9564 0.9500 0.9448 0.9099 0.8831 0.8809 0.8711 0.8693 0.8682 0.8508SD1.00001.00000.97430.97430.97430.94130.94130.94130.94130.94130.94130.94130.94130.94130.9413TN1.0000 0.5030 0.3426 0.3399 0.3377 0.3375 0.3375 0.3361 0.3361 0.3363 0.3361 0.3320 0.3302 0.3131 0.3119TX1.00000.99820.98640.98440.98420.94930.94930.94760.94750.94710.94690.94690.94690.94690.9462VT1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000 1.0000VA1.00000.99990.95650.91210.90950.90950.90690.90040.88530.86810.86730.85870.85680.85080.8405WV1.0000 0.4117 0.3801 0.3535 0.3194 0.3106 0.3076 0.2930 0.2841 0.2824 0.2790 0.2752 0.2733 0.2686 0.2655WI1.00000.96740.95190.95000.96870.91650.91740.88830.88750.88350.90390.91220.90770.90780.9153*For some states, emissions may increase slightly from one marginal cost to the next leading toincreasing values. For cases where the fraction is greater than 1, total state emissions are estimated to be larger than that state’s2012 base caseDRAFT – Do Not Cite or Quote – April 30, 201062Table 2-27. Fraction* of Total SO2Emissions at Various Marginal Costs per Tonin 2014 to the Total Emissions in the 2012 Base.2012201420142014201420142014201420142014201420142014201420142014Marginal Costper Ton$0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL1.0000 0.9670 0.9337 0.8264 0.7692 0.6524 0.6400 0.6325 0.6299 0.6294 0.6172 0.5868 0.4942 0.4892 0.4514 0.4230AR1.00001.01931.01950.99710.99740.99740.99730.99730.99760.99750.99780.98800.98150.96850.88500.4281CT1.0000 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 1.0010 0.9098 0.9098 0.9098 0.9070 0.8933DE1.00001.02411.04961.05021.05061.05061.05071.05081.05081.05081.03981.04021.04021.03551.01961.0196DC1.0000 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980 0.9980FL1.00000.93870.90270.88880.88820.81920.77400.77470.77380.76550.76380.76120.70490.69230.68250.6737GA1.0000 0.4402 0.4288 0.3851 0.3863 0.3815 0.3812 0.3787 0.3751 0.3566 0.3429 0.3337 0.3246 0.3193 0.3105 0.2829IL1.00000.39310.37480.35230.35130.35230.35220.35230.35230.35050.35200.35190.35060.34700.34080.3269IN1.0000 0.9731 0.6428 0.5965 0.5147 0.5064 0.4905 0.4879 0.4747 0.4528 0.4489 0.4462 0.4208 0.4028 0.3882 0.3502IA1.00000.97410.88030.83820.79990.76790.74310.74150.73770.74000.73720.73480.73260.72900.72470.6002KS1.0000 1.0464 1.0394 0.9619 0.8995 0.9009 0.9002 0.8834 0.8774 0.8722 0.8696 0.8684 0.8642 0.7532 0.7331 0.6751KY1.00001.02240.42830.42180.39960.39390.39310.38680.37250.32600.31360.30360.28230.23810.22350.2031LA1.0000 0.9594 0.9594 0.9595 0.9596 0.9596 0.9596 0.9596 0.9597 0.9597 0.9597 0.9597 0.9597 0.9585 0.9225 0.7864ME1.00000.92780.92780.92780.87540.85690.85510.85510.85510.77090.71110.71110.71150.71150.71150.7115MD1.0000 0.9552 0.9569 0.9570 0.9570 0.9569 0.9569 0.9569 0.9569 0.9569 0.9571 0.9571 0.9572 0.9331 0.9316 0.9234MA1.00001.02441.03391.03391.03280.94740.94740.94740.94740.94740.94740.94740.94340.94350.94160.9132MI1.0000 0.9706 0.9187 0.9161 0.8991 0.8266 0.8213 0.8138 0.8123 0.8097 0.8079 0.8053 0.7990 0.7322 0.6987 0.5852MN1.00001.07401.02170.99810.96160.96090.93670.93010.92940.93000.93040.93150.93310.93250.92480.9111MS1.0000 1.0112 0.9869 0.9940 0.9855 0.9850 0.9862 0.9901 0.9901 0.9901 0.9901 0.9901 0.9794 0.9759 0.9431 0.6320MO1.00001.09240.72230.63290.61660.60700.58820.58890.58930.58730.58580.58670.58100.55830.53530.3806NE1.0000 0.9630 0.9855 0.9462 0.7907 0.7224 0.6990 0.6933 0.6930 0.6901 0.6834 0.6807 0.6770 0.6680 0.5178 0.4368NH1.00000.96370.96370.96370.96370.96370.96370.96030.99870.99870.99870.99870.99870.99870.99800.8332NJ1.0000 1.0356 1.0340 0.8771 0.8770 0.8036 0.8043 0.8054 0.8034 0.8035 0.8032 0.8006 0.7699 0.7699 0.7613 0.7225NY1.00000.98800.98470.98770.98500.97160.96660.95550.91990.91680.90510.90340.89300.86550.77580.7573NC1.0000 1.0675 1.0675 1.0674 1.0414 1.0417 1.0265 1.0226 0.9717 0.9667 0.9615 0.9298 0.9066 0.9081 0.8786 0.7754ND1.00001.02870.98000.98000.79040.64370.64370.64370.64360.64360.63200.63200.63200.54240.54190.5295OH1.0000 0.9005 0.6603 0.6329 0.6014 0.5061 0.4985 0.4535 0.4184 0.3922 0.3786 0.3609 0.3421 0.3384 0.3242 0.3076OK1.00001.04701.04700.84910.77490.77490.77490.77490.77520.77520.77510.77510.77510.76560.76630.3562PA1.0000 1.0035 0.8701 0.5278 0.4903 0.4475 0.4345 0.3426 0.3346 0.3142 0.2942 0.2897 0.2721 0.2709 0.2631 0.2456RI1.00001.02791.02791.02791.02791.02791.02791.02791.02791.02791.02791.02791.02791.02791.02791.0279SC1.0000 1.0352 0.9586 0.9526 0.9500 0.9454 0.9399 0.9267 0.9158 0.9038 0.8708 0.7235 0.7131 0.7039 0.6132 0.5501SD1.00000.99870.99870.99870.97300.97300.97300.94540.92430.90640.90640.90630.90630.90630.90630.5831TN1.0000 1.0035 0.3746 0.3416 0.3370 0.3367 0.3367 0.3367 0.3369 0.3346 0.3309 0.3099 0.3112 0.3090 0.2985 0.2686TX1.00001.05931.05271.05151.05071.05011.01541.01541.01521.01451.01041.01141.00711.00260.95830.6993VT1.0000 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011 1.0011VA1.00000.96640.95540.95400.86710.86530.86150.85620.85510.85020.83790.79960.73310.69720.65480.6195WV1.0000 0.8568 0.3648 0.3511 0.3420 0.3389 0.3371 0.3365 0.3289 0.3354 0.3334 0.3089 0.3033 0.2924 0.2723 0.2393WI1.00001.05321.01961.00041.00290.99830.94380.93640.92680.91560.91160.89860.89320.88460.85080.7597*For some states, emissions may increase slightly from one marginal cost to the next leading toincreasing values. For cases where the fraction is greater than 1, totalstate emissions are estimated to be largerthan that state’s 2012 base case.

# DRAFT – Do Not Cite or Quote – April 30, 2010

63 Table 2-28. Fraction* of Total Ozone Season NO

x 

# Emissions at Various Marginal

Costs per Ton in 2012 to the Total Ozon e 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 margin al cost to the next leading to increasing values. For cases w here the

fraction is greater than 1, total state emissions are es timated 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 NO

x 

# Emissions at Various Marginal

Costs per Ton in 2014 to the Total Ozon e 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 margin al cost to the next leading to increasing values. For cases w here the

fraction is greater than 1, total state emissions are es timated 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 NO

x 

# Emissions Removed at Various

Marginal Costs per Ton in 2014 to th e 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 margin al cost to the next leading to decreasing values. For cases w here

the fraction is negative, total state emissions are esti mated 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 prea mble, reduction in concentration is assessed using the states’ 20 14 base

case, rather than the 2012 base case.DRAFT – Do Not Cite or Quote – April 30, 201066Table 2-31. Fractional Reduction* of Total SO2Emissions Removed at Various Marginal Costs per Ton in 2014 to the TotalEmissions in the 2014 Base.2012**201420142014201420142014201420142014201420142014201420142014Marginal Cost perTon$0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400StateAL-0.0341 0.0000 0.0345 0.1454 0.2046 0.3254 0.3381 0.3460 0.3486 0.3492 0.3618 0.3932 0.4890 0.4941 0.5332 0.5626AR0.01890.0000-0.00020.02180.02150.02150.02150.02150.02130.02140.02110.03060.03700.04980.13180.5800CT0.0010 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0911 0.0911 0.0911 0.0940 0.1076DE0.02350.0000-0.0249-0.0255-0.0259-0.0259-0.0260-0.0261-0.0261-0.0261-0.0153-0.0157-0.0157-0.01110.00430.0043DC-0.0021 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000FL-0.06530.00000.03840.05320.05380.12730.17550.17480.17570.18460.18630.18910.24910.26250.27300.2823GA-1.2718 0.0000 0.0259 0.1252 0.1223 0.1333 0.1341 0.1398 0.1479 0.1899 0.2210 0.2419 0.2625 0.2746 0.2945 0.3573IL-1.54370.00000.04660.10380.10630.10390.10410.10380.10380.10840.10460.10490.10810.11730.13300.1684IN-0.0276 0.0000 0.3394 0.3870 0.4711 0.4797 0.4960 0.4987 0.5122 0.5347 0.5387 0.5415 0.5676 0.5861 0.6010 0.6401IA-0.02660.00000.09630.13950.17890.21170.23710.23880.24270.24030.24320.24560.24790.25160.25600.3838KS0.0444 0.0000 0.0067 0.0808 0.1404 0.1391 0.1397 0.1558 0.1615 0.1665 0.1689 0.1701 0.1741 0.2802 0.2994 0.3548KY0.02190.00000.58110.58750.60920.61480.61550.62170.63570.68120.69320.70300.72390.76710.78140.8013LA-0.0423 0.0000 0.0000 0.0000 -0.0002 -0.0002 -0.0002 -0.0002 -0.0003 -0.0003 -0.0003 -0.0003 -0.0003 0.0010 0.0385 0.1803ME-0.07780.00000.00000.00000.05650.07640.07840.07840.07840.16920.23360.23360.23320.23320.23320.2332MD-0.0470 0.0000 -0.0019 -0.0019 -0.0019 -0.0018 -0.0018 -0.0018 -0.0018 -0.0018 -0.0020 -0.0021 -0.0021 0.0231 0.0246 0.0332MA0.02380.0000-0.0093-0.0093-0.00830.07510.07510.07510.07510.07510.07510.07510.07900.07900.08080.1085MI-0.0303 0.0000 0.0535 0.0561 0.0736 0.1484 0.1538 0.1615 0.1631 0.1658 0.1676 0.1703 0.1769 0.2456 0.2801 0.3971MN0.06890.00000.04870.07070.10470.10530.12790.13400.13470.13410.13370.13270.13120.13180.13900.1517MS0.0110 0.0000 0.0240 0.0169 0.0254 0.0259 0.0247 0.0209 0.0209 0.0209 0.0209 0.0209 0.0315 0.0349 0.0673 0.3750MO0.08450.00000.33880.42060.43550.44430.46150.46090.46060.46240.46380.46290.46810.48890.50990.6516NE-0.0385 0.0000 -0.0234 0.0174 0.1789 0.2498 0.2741 0.28010.2803 0.2834 0.2904 0.2931 0.2970 0.3063 0.4622 0.5464NH-0.03770.00000.00000.00000.00000.00000.00000.0035-0.0363-0.0363-0.0363-0.0363-0.0363-0.0363-0.03560.1354NJ0.0344 0.0000 0.0016 0.1531 0.1532 0.2241 0.2234 0.2223 0.2243 0.2242 0.2244 0.2269 0.2566 0.2566 0.2649 0.3024NY-0.01210.00000.00340.00030.00300.01660.02170.03290.06900.07200.08390.08560.09620.12400.21470.2335NC0.0632 0.0000 0.0000 0.0001 0.0244 0.0242 0.0384 0.0421 0.0897 0.0945 0.0993 0.1290 0.1507 0.1493 0.1769 0.2736ND0.02790.00000.04730.04730.23160.37430.37430.37430.37430.37430.38560.38560.38560.47270.47320.4853OH-0.1105 0.0000 0.2667 0.2972 0.3321 0.4380 0.4464 0.4964 0.5354 0.5645 0.5795 0.5993 0.6201 0.6242 0.6400 0.6585OK0.04490.00000.00000.18900.25990.25990.25990.25990.25960.25960.25960.25960.25960.26870.26810.6598PA0.0034 0.0000 0.1329 0.4741 0.5114 0.5540 0.5670 0.6586 0.6665 0.6869 0.7068 0.7113 0.7289 0.7301 0.7378 0.7553RI0.02720.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.00000.0000SC0.0340 0.0000 0.0741 0.0798 0.0823 0.0868 0.0921 0.1049 0.1154 0.1269 0.1589 0.3011 0.3112 0.3201 0.4077 0.4686SD-0.00130.00000.00000.00000.02570.02570.02570.05330.07450.09240.09240.09250.09250.09250.09250.4162TN0.0035 0.0000 0.6267 0.6596 0.6641 0.6645 0.6645 0.6645 0.6643 0.6666 0.6702 0.6912 0.6899 0.6920 0.7025 0.7323TX0.05590.00000.00620.00730.00810.00860.04150.04140.04160.04230.04610.04520.04920.05350.09540.3398VT0.0011 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000VA-0.03470.00000.01140.01290.10280.10460.10860.11410.11520.12030.13300.17270.24140.27860.32250.3589WV-0.1671 0.0000 0.5742 0.5903 0.6009 0.6045 0.6066 0.6073 0.6161 0.6085 0.6108 0.6395 0.6461 0.6588 0.6822 0.7207WI0.05050.00000.03190.05020.04780.05210.10380.11090.12000.13060.13450.14680.15190.16010.19220.2786*For some states, emissions may increase slightly from one marginal cost to the next leading todecreasing values. For cases where the fraction is negative, total state emissions are estimated to be largerthan 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.

# 67 Table 2-32. Fractional Reduction * of Total Ozone Season NO

x 

# 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 margin al cost to the next leading to decreasing values. For cases w here

the fraction is negative, total state emissions are esti mated 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 prea mble, reduction in concentration is assessed using the states’ 20 14 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/m 3 

# ) to Each of Three Monitors in 2014 Using the Air

Quality Assessment Tool (With SO 2 

# Marginal Cost at $1,200/Ton and NO

x 

# 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 Al abama 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 0.1212169Table 3-1. Total* Annual Average ReductionsIn Nitrate And Sulfate Concentration (g/m3) at Downwind Monitors from AllStatesas a Function of EGU NOxand SO2Emissions Reductions at Various Marginal Costs per Ton 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 2014 2014 2014 2014 2014 2014SO2MarginalCost perTon$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400NOxMarginalCost perTon$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0MonitorIdentificationNumberReceptorStateReceptorCounty2012Avg.DesignValue2012Max.DesignValue420030064PennsylvaniaAllegheny18.9 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 3.51 3.57 3.63 3.72 3.77 3.86 4.01010730023AlabamaJefferson17.15 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 2.49 2.55 2.67 3.02 3.06 3.21 3.35390618001OhioHamilton16.93 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 3.88 3.93 4.00 4.10 4.19 4.28 4.48390610014OhioHamilton16.69 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 3.94 4.00 4.07 4.16 4.26 4.35 4.56261630033MichiganWayne16.57 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 2.18 2.21 2.24 2.30 2.47 2.58 2.89171191007IllinoisMadison16.56 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 2.73 2.74 2.76 2.81 2.88 2.95 3.23390610042OhioHamilton16.33 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 3.95 4.01 4.08 4.18 4.28 4.37 4.57390350038OhioCuyahoga16.26 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 3.12 3.17 3.23 3.31 3.39 3.48 3.64390350060OhioCuyahoga16.02 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 3.10 3.15 3.21 3.29 3.37 3.46 3.61131210039GeorgiaFulton16.01 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 2.75 2.81 2.90 2.99 3.03 3.11 3.26010732003AlabamaJefferson15.99 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 2.20 2.25 2.35 2.61 2.65 2.76 2.89180190006IndianaClark15.96 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 4.08 4.13 4.20 4.32 4.44 4.54 4.77180970081IndianaMarion15.93 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 3.86 3.90 3.95 4.06 4.18 4.28 4.54180970083IndianaMarion15.77 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 3.86 3.90 3.95 4.07 4.19 4.28 4.54390617001OhioHamilton15.65 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 3.93 3.98 4.06 4.15 4.25 4.34 4.54171630010IllinoisSaint Clair15.48 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 2.66 2.68 2.70 2.74 2.81 2.88 3.16390350045OhioCuyahoga15.42 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 3.17 3.22 3.29 3.37 3.45 3.54 3.71130210007GeorgiaBibb15.33 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 2.34 2.39 2.48 2.58 2.61 2.70 2.83540391005WestVirginiaKanawha15.28 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 3.64 3.69 3.77 3.87 3.95 4.05 4.24390170016OhioButler15.25 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 3.73 3.78 3.84 3.93 4.03 4.12 4.32421330008PennsylvaniaYork15.25 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 2.75 2.82 2.86 2.95 3.01 3.10 3.23540110006WestVirginiaCabell15.25 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 3.61 3.66 3.74 3.83 3.92 4.01 4.20420070014PennsylvaniaBeaver15.23 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 3.13 3.19 3.24 3.32 3.38 3.47 3.61211110043KentuckyJefferson15.19 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 4.20 4.25 4.32 4.45 4.58 4.68 4.91420710007PennsylvaniaLancaster15.18 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 2.69 2.75 2.79 2.88 2.94 3.03 3.15180970078IndianaMarion15.18 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 3.86 3.90 3.95 4.06 4.18 4.28 4.54170310052IllinoisCook15.16 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 2.01 2.02 2.03 2.07 2.13 2.19 2.36420031301PennsylvaniaAllegheny15.13 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 3.56 3.63 3.69 3.78 3.84 3.93 4.08130630091GeorgiaClayton15.07 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 2.66 2.72 2.82 2.92 2.95 3.04 3.19180372001IndianaDubois15.07 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 4.45 4.50 4.56 4.69 4.83 4.94 5.23261630015MichiganWayne15.05 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 2.11 2.14 2.17 2.23 2.39 2.50 2.80390610043OhioHamilton15.05 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 3.69 3.74 3.80 3.89 3.99 4.07 4.2770390610040OhioHamilton15.03 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 3.98 4.04 4.11 4.21 4.31 4.40 4.61391130032OhioMontgomery15.01 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 3.32 3.37 3.43 3.51 3.60 3.68 3.86391510017OhioStark14.99 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 3.33 3.39 3.45 3.53 3.61 3.71 3.89360610056New YorkNew York14.98 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 1.26 1.31 1.33 1.40 1.48 1.72 1.83390350065OhioCuyahoga14.96 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 3.11 3.16 3.23 3.31 3.38 3.48 3.63540030003WestVirginiaBerkeley14.95 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 2.64 2.69 2.74 2.82 2.89 2.98 3.10540490006WestVirginiaMarion14.96 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 4.05 4.11 4.21 4.30 4.38 4.50 4.69390811001OhioJefferson14.95 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 3.65 3.71 3.78 3.87 3.94 4.04 4.21540090005WestVirginiaBrooke14.95 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 3.56 3.62 3.70 3.78 3.85 3.95 4.11211110044KentuckyJefferson14.93 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 4.08 4.14 4.20 4.32 4.45 4.55 4.77170316005IllinoisCook14.92 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 2.13 2.14 2.16 2.19 2.25 2.31 2.48482011035TexasHarris14.74 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 0.23 0.24 0.24 0.25 0.27 0.41 1.17170313301IllinoisCook14.73 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 2.16 2.17 2.19 2.23 2.29 2.34 2.52390350027OhioCuyahoga14.5 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 3.09 3.15 3.21 3.29 3.36 3.45 3.61540291004WestVirginiaHancock14.34 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 3.49 3.55 3.62 3.70 3.77 3.87 4.03*To calculate a total reduction when both NOxand SO2have non-zero marginal costs, add the two values and then subtract the 2014 base case value.For example, for Allegheny, PA,(420030064) at$500/ton SO2and $1000/ton NOx, add 3.09 and 0.55 for a total of 3.64, then subtract the basecase value of 0.47. The resulting total reduction in concentration is 3.17g/m3.71Table 3-2. Total* Annual Average ReductionsIn Nitrate And Sulfate Concentration (g/m3) at Downwind Monitors from theState Containing the Receptoras a Function of EGU NOxand SO2Emissions Reductions at Various Marginal Costs per Tonof Reduction in 2014 (Estimated Using AQAT).Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014SO2Marginal CostperTon$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400NOxMarginal CostperTon$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0MonitorIdentificationNumberReceptorStateReceptorCounty2012Avg.DesignValue2012Max.DesignValue420030064PennsylvaniaAllegheny18.9 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 1.48 1.49 1.53 1.53 1.55 1.59010730023AlabamaJefferson17.15 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 1.29 1.39 1.70 1.72 1.85 1.94390618001OhioHamilton16.93 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 1.32 1.36 1.40 1.40 1.43 1.47390610014OhioHamilton16.69 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 1.33 1.37 1.41 1.41 1.44 1.48261630033MichiganWayne16.57 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 0.45 0.46 0.47 0.61 0.68 0.93171191007IllinoisMadison16.56 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 0.98 0.98 0.99 0.99 1.00 1.02390610042OhioHamilton16.33 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 1.31 1.34 1.38 1.39 1.42 1.46390350038OhioCuyahoga16.26 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 1.38 1.42 1.46 1.47 1.50 1.54390350060OhioCuyahoga16.02 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 1.38 1.42 1.46 1.47 1.50 1.54131210039GeorgiaFulton16.01 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 1.46 1.48 1.50 1.51 1.53 1.59010732003AlabamaJefferson15.99 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 0.98 1.05 1.29 1.30 1.40 1.47180190006IndianaClark15.96 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 0.92 0.93 0.97 1.00 1.02 1.08180970081IndianaMarion15.93 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 1.65 1.66 1.73 1.78 1.83 1.94180970083IndianaMarion15.77 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 1.65 1.66 1.73 1.78 1.83 1.94390617001OhioHamilton15.65 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 1.33 1.36 1.40 1.41 1.44 1.48171630010IllinoisSaint Clair15.48 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 0.95 0.95 0.96 0.96 0.97 0.99390350045OhioCuyahoga15.42 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 1.40 1.43 1.48 1.48 1.51 1.55130210007GeorgiaBibb15.33 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 1.07 1.09 1.10 1.11 1.12 1.17540391005WestVirginiaKanawha15.28 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 0.83 0.87 0.87 0.89 0.91 0.95390170016OhioButler15.25 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 1.11 1.15 1.18 1.19 1.21 1.24421330008PennsylvaniaYork15.25 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 1.53 1.54 1.57 1.58 1.59 1.63540110006WestVirginiaCabell15.25 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 0.77 0.80 0.81 0.82 0.85 0.88420070014PennsylvaniaBeaver15.23 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 1.03 1.04 1.07 1.07 1.08 1.11211110043KentuckyJefferson15.19 15.41 0.00-0.020.03 0.03 0.03 0.03 0.03 0.00-0.020.94 0.95 0.98 0.99 1.00 1.01 1.03 1.10 1.12 1.14 1.17 1.25 1.27 1.30420710007PennsylvaniaLancaster15.18 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 1.57 1.58 1.62 1.62 1.64 1.68180970078IndianaMarion15.18 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 1.65 1.66 1.73 1.78 1.83 1.94170310052IllinoisCook15.16 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 0.82 0.82 0.83 0.83 0.84 0.85420031301PennsylvaniaAllegheny15.13 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 1.46 1.47 1.51 1.51 1.53 1.56130630091GeorgiaClayton15.07 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 1.27 1.29 1.31 1.32 1.34 1.39180372001IndianaDubois15.07 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 1.23 1.24 1.30 1.33 1.37 1.45261630015MichiganWayne15.05 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 0.43 0.44 0.45 0.59 0.66 0.89390610043OhioHamilton15.05 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 1.17 1.21 1.24 1.25 1.28 1.31390610040OhioHamilton15.03 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 1.34 1.38 1.42 1.43 1.46 1.49391130032OhioMontgomery15.01 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 1.02 1.05 1.08 1.09 1.11 1.14391510017OhioStark14.99 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 1.17 1.20 1.23 1.24 1.27 1.30360610056New YorkNew York14.98 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 0.25 0.25 0.28 0.34 0.55 0.59390350065OhioCuyahoga14.96 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 1.39 1.42 1.46 1.47 1.50 1.5472540030003WestVirginiaBerkeley14.95 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 0.58 0.60 0.60 0.61 0.63 0.66540490006WestVirginiaMarion14.96 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 1.57 1.63 1.64 1.66 1.71 1.79390811001OhioJefferson14.95 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 1.17 1.21 1.24 1.25 1.28 1.31540090005WestVirginiaBrooke14.95 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 0.73 0.76 0.76 0.78 0.80 0.83211110044KentuckyJefferson14.93 15.09 0.00-0.020.05 0.05 0.05 0.05 0.05 0.00-0.020.93 0.94 0.97 0.98 0.98 0.99 1.02 1.09 1.11 1.13 1.16 1.23 1.26 1.29170316005IllinoisCook14.92 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 0.94 0.94 0.94 0.95 0.95 0.97482011035TexasHarris14.74 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 -0.03 -0.03 -0.02 0.00 0.12 0.83170313301IllinoisCook14.73 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 0.95 0.95 0.95 0.96 0.97 0.99390350027OhioCuyahoga14.5 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 1.38 1.42 1.46 1.47 1.50 1.54540291004WestVirginiaHancock14.34 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 0.72 0.74 0.75 0.76 0.78 0.82*To calculate a total reduction when both NOxand SO2have non-zero marginal costs, add the two values and then subtract the 2014 base case value.For example, for Allegheny, PA,(420030064) at$500/ton SO2and $1000/ton NOx, add 1.19 and 0.04 for a total of 1.23, then subtract the basecase value of 0.01. The resulting total reduction in concentration is 1.22g/m3.73Table 3-3. Total* Annual Average ReductionsIn Nitrate And Sulfate Concentration (g/m3) at Downwind Monitors from theStates Upwind of the Receptoras a Function of EGU NOxand SO2Emissions Reductions at Various Marginal Costs per Tonof Reduction in 2014 (Estimated Using AQAT).Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014SO2MarginalCost perTon$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400NOxMarginalCost perTon$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0MonitorIdentificationNumberReceptorStateReceptorCounty2012Avg.DesignValue2012Max.DesignValue420030064PennsylvaniaAllegheny18.9 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 2.07 2.09 2.14 2.19 2.24 2.31 2.42010730023AlabamaJefferson17.15 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 1.24 1.26 1.28 1.31 1.34 1.36 1.41390618001OhioHamilton16.93 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 2.58 2.61 2.64 2.70 2.79 2.85 3.01390610014OhioHamilton16.69 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 2.64 2.67 2.70 2.76 2.85 2.91 3.08261630033MichiganWayne16.57 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 1.73 1.76 1.79 1.83 1.86 1.90 1.97171191007IllinoisMadison16.56 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 1.74 1.76 1.78 1.82 1.89 1.95 2.21390610042OhioHamilton16.33 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 2.67 2.70 2.73 2.80 2.89 2.95 3.12390350038OhioCuyahoga16.26 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 1.76 1.79 1.81 1.85 1.92 1.98 2.10390350060OhioCuyahoga16.02 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 1.74 1.77 1.79 1.83 1.89 1.96 2.08131210039GeorgiaFulton16.01 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 1.32 1.35 1.42 1.49 1.52 1.58 1.67010732003AlabamaJefferson15.99 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 1.26 1.28 1.30 1.32 1.34 1.37 1.42180190006IndianaClark15.96 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 3.16 3.21 3.27 3.35 3.44 3.52 3.68180970081IndianaMarion15.93 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 2.22 2.25 2.29 2.33 2.40 2.45 2.60180970083IndianaMarion15.77 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 2.23 2.25 2.29 2.33 2.40 2.46 2.60390617001OhioHamilton15.65 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 2.63 2.66 2.69 2.75 2.84 2.90 3.07171630010IllinoisSaint Clair15.48 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 1.71 1.73 1.74 1.79 1.85 1.91 2.17390350045OhioCuyahoga15.42 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 1.80 1.83 1.85 1.89 1.96 2.03 2.16130210007GeorgiaBibb15.33 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 1.29 1.31 1.39 1.48 1.50 1.57 1.66540391005WestVirginiaKanawha15.28 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 2.80 2.85 2.91 3.00 3.07 3.14 3.29390170016OhioButler15.25 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 2.64 2.66 2.70 2.76 2.85 2.91 3.08421330008PennsylvaniaYork15.25 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 1.27 1.29 1.32 1.37 1.44 1.51 1.60540110006WestVirginiaCabell15.25 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 2.84 2.89 2.94 3.02 3.10 3.17 3.3174420070014PennsylvaniaBeaver15.23 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 2.13 2.15 2.20 2.25 2.31 2.39 2.50211110043KentuckyJefferson15.19 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 3.10 3.13 3.18 3.27 3.34 3.41 3.61420710007PennsylvaniaLancaster15.18 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 1.16 1.18 1.21 1.26 1.32 1.39 1.48180970078IndianaMarion15.18 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 2.22 2.25 2.29 2.33 2.40 2.46 2.60170310052IllinoisCook15.16 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 1.18 1.20 1.21 1.25 1.30 1.35 1.51420031301PennsylvaniaAllegheny15.13 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 2.14 2.17 2.22 2.27 2.33 2.40 2.52130630091GeorgiaClayton15.07 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 1.42 1.45 1.52 1.61 1.64 1.71 1.80180372001IndianaDubois15.07 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 3.22 3.26 3.32 3.40 3.49 3.57 3.78261630015MichiganWayne15.05 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 1.68 1.70 1.73 1.77 1.80 1.84 1.91390610043OhioHamilton15.05 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 2.54 2.56 2.59 2.65 2.74 2.80 2.96390610040OhioHamilton15.03 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 2.67 2.70 2.73 2.79 2.88 2.94 3.12391130032OhioMontgomery15.01 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 2.32 2.34 2.37 2.43 2.51 2.56 2.72391510017OhioStark14.99 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 2.19 2.22 2.25 2.30 2.37 2.44 2.60360610056New YorkNew York14.98 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 1.04 1.06 1.08 1.12 1.14 1.17 1.24390350065OhioCuyahoga14.96 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 1.76 1.78 1.80 1.84 1.91 1.97 2.09540030003WestVirginiaBerkeley14.95 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 2.06 2.11 2.14 2.22 2.28 2.35 2.45540490006WestVirginiaMarion14.96 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 2.49 2.54 2.59 2.66 2.72 2.79 2.90390811001OhioJefferson14.95 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 2.50 2.53 2.58 2.63 2.69 2.77 2.90540090005WestVirginiaBrooke14.95 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 2.83 2.89 2.94 3.01 3.07 3.15 3.27211110044KentuckyJefferson14.93 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 2.99 3.02 3.07 3.16 3.22 3.29 3.48170316005IllinoisCook14.92 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 1.19 1.20 1.22 1.25 1.31 1.35 1.51482011035TexasHarris14.74 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 0.27 0.27 0.27 0.27 0.27 0.29 0.34170313301IllinoisCook14.73 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 1.21 1.22 1.24 1.28 1.33 1.38 1.53390350027OhioCuyahoga14.5 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 1.74 1.76 1.79 1.83 1.89 1.95 2.07540291004WestVirginiaHancock14.34 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 2.77 2.83 2.87 2.95 3.01 3.08 3.21*To calculate a total reduction when both NOxand SO2have non-zero marginal costs, add the two values and then subtract the 2014 base case value.75Table 3-4. Total* Average Daily Reductions in Nitrate and Sulfate Concentration (g/m3) at Downwind Monitors from AllStatesas a Function of EGU NOxand SO2Emissions Reductions at Various Marginal Costs per Ton 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 2014 2014 2014 2014 2014 2014SO2MarginalCost perTon$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400NOxMarginalCost perTon$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0MonitorIdentificationNumberReceptorStateReceptorCounty2012Avg.DesignValue2012Max.DesignValue420030064PennsylvaniaAllegheny58.8 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 7.93 8.07 8.26 8.38 8.55 8.86261630033MichiganWayne42.1 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 8.75 8.89 9.11 9.60 9.94 10.84390350038OhioCuyahoga41.2 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 12.33 12.59 12.90 13.16 13.49 14.05420030093PennsylvaniaAllegheny41.1 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 10.44 10.64 10.88 11.04 11.2611.67170311016IllinoisCook41 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 7.44 7.51 7.66 7.85 8.01 8.49261630016MichiganWayne40.6 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 6.49 6.59 6.76 7.16 7.45 8.17180970043IndianaMarion40.5 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 16.12 16.34 16.81 17.29 17.66 18.55390170003OhioButler40.3 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 18.53 18.86 19.33 19.8020.20 21.05180970066IndianaMarion40.3 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 16.28 16.49 16.98 17.4717.85 18.75420210011PennsylvaniaCambria40.3 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 16.24 16.47 16.87 17.08 17.38 18.00180970081IndianaMarion40.1 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 15.32 15.53 15.96 16.4116.75 17.59010730023AlabamaJefferson40 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 6.95 7.25 8.01 8.12 8.47 8.84171191007IllinoisMadison40 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 9.21 9.29 9.45 9.69 9.91 10.77540090011WestVirginiaBrooke39.9 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 7.41 7.56 7.73 7.87 8.04 8.37390618001OhioHamilton39.6 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 12.56 12.80 13.14 13.44 13.73 14.33390350060OhioCuyahoga39.4 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 9.16 9.35 9.60 9.79 10.07 10.49171190023IllinoisMadison39.4 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 12.45 12.54 12.75 13.08 13.38 14.56180970083IndianaMarion39 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 16.71 16.93 17.43 17.93 18.31 19.23550790043WisconsinMilwaukee38.8 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 8.76 8.86 9.06 9.29 9.54 10.28180970078IndianaMarion38.7 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 16.04 16.26 16.73 17.2017.57 18.45261630019MichiganWayne38.6 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 5.76 5.84 6.00 6.28 6.50 7.01170310052IllinoisCook38.5 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 6.95 7.00 7.13 7.28 7.43 7.87261630015MichiganWayne38.5 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 9.91 10.09 10.36 10.86 11.22 12.17390170017OhioButler38.5 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 15.27 15.54 15.92 16.3216.65 17.34261470005MichiganSt. Clair38.4 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 6.79 6.91 7.08 7.36 7.61 8.12170313301IllinoisCook38.2 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 7.84 7.90 8.05 8.25 8.43 8.94340172002New JerseyHudson38.2 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 3.30 3.38 3.58 3.72 4.18 4.45180190006IndianaClark38.1 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 12.57 12.73 13.06 13.47 13.74 14.37261610008MichiganWashtenaw38.1 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 8.89 9.03 9.25 9.58 9.85 10.49010732003AlabamaJefferson38.1 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 5.13 5.33 5.82 5.91 6.15 6.4176170313103IllinoisCook38.1 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 5.94 5.97 6.07 6.20 6.32 6.71420031008PennsylvaniaAllegheny38 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 12.20 12.42 12.71 12.90 13.16 13.64390610006OhioHamilton38 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 15.72 16.01 16.43 16.82 17.17 17.92261250001MichiganOakland37.9 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 9.80 9.97 10.21 10.60 10.90 11.65390171004OhioButler37.8 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 15.15 15.42 15.81 16.1916.52 17.21420710007PennsylvaniaLancaster37.7 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 4.92 4.98 5.11 5.16 5.26 5.41420070014PennsylvaniaBeaver37.7 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 9.18 9.36 9.58 9.74 9.94 10.33550790010WisconsinMilwaukee37.7 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 4.86 4.90 4.97 5.12 5.31 5.86390617001OhioHamilton37.7 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 14.98 15.26 15.62 15.9916.32 17.03390610014OhioHamilton37.5 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 14.35 14.64 15.03 15.38 15.71 16.38390170016OhioButler37.5 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 14.98 15.24 15.61 16.0016.32 17.04170316005IllinoisCook37.4 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 6.57 6.62 6.73 6.88 7.02 7.43180890022IndianaLake37.3 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 5.37 5.39 5.54 5.69 5.83 6.26180970079IndianaMarion37.2 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 15.95 16.17 16.63 17.1117.47 18.33171192009IllinoisMadison37.2 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 11.72 11.81 12.01 12.33 12.61 13.70390610042OhioHamilton37.2 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 13.61 13.87 14.21 14.53 14.82 15.43360610056New YorkNew York37.1 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 3.41 3.48 3.65 3.84 4.42 4.67420030116PennsylvaniaAllegheny37.1 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 10.53 10.73 10.97 11.13 11.3611.83261150005MichiganMonroe37 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 11.52 11.73 12.05 12.41 12.72 13.45210590005KentuckyDaviess37 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 16.94 17.12 17.63 18.30 18.67 19.57550790099WisconsinMilwaukee36.8 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 6.18 6.24 6.35 6.53 6.74 7.37191630019IowaScott36.8 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 12.78 12.95 13.22 13.56 13.88 15.05340390004New JerseyUnion36.7 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 5.05 5.15 5.38 5.50 5.78 6.10420031301PennsylvaniaAllegheny36.6 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 10.43 10.63 10.87 11.04 11.26 11.69471251009TennesseeMontgomery36.6 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 13.13 13.36 13.59 13.9014.19 14.92390490024OhioFranklin36.6 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 10.63 10.84 11.10 11.33 11.6012.10390811001OhioJefferson36.5 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 9.62 9.84 10.07 10.25 10.49 10.93390350065OhioCuyahoga36.5 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 10.02 10.23 10.49 10.69 10.97 11.42180372001IndianaDubois36.5 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 13.91 14.08 14.47 14.92 15.22 15.94171193007IllinoisMadison36.5 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 12.65 12.75 12.97 13.31 13.62 14.80295100087MissouriSt. LouisCity36.4 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 11.90 11.99 12.20 12.51 12.80 13.93550790026WisconsinMilwaukee36.3 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 5.21 5.26 5.35 5.50 5.68 6.22180890026IndianaLake36.3 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 6.69 6.77 6.93 7.14 7.32 7.82391130032OhioMontgomery36.3 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 15.96 16.27 16.66 17.0617.42 18.16245100040MarylandBaltimore(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 2.30 2.36 2.43 2.57 2.64 2.78170310076IllinoisCook36.3 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 9.02 9.11 9.29 9.53 9.74 10.32180970042IndianaMarion36.3 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 16.47 16.69 17.18 17.6818.06 18.96261630036MichiganWayne36.3 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 8.12 8.25 8.45 8.79 9.07 9.74360610128New YorkNew York36.2 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 6.26 6.38 6.62 6.86 7.39 7.78390490025OhioFranklin36.1 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 10.27 10.46 10.72 10.95 11.22 11.73390350045OhioCuyahoga36 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 10.42 10.65 10.91 11.14 11.44 11.93211110044KentuckyJefferson36 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 13.36 13.52 13.89 14.38 14.67 15.35390610043OhioHamilton36 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 15.30 15.56 15.94 16.34 16.67 17.4277295100007MissouriSt. LouisCity36 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 13.54 13.64 13.86 14.24 14.61 16.26421330008PennsylvaniaYork35.9 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 9.26 9.40 9.66 9.78 9.99 10.32181570008IndianaTippecanoe35.9 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 12.95 13.15 13.48 13.79 14.08 14.74180830004IndianaKnox35.9 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 12.02 12.17 12.54 12.93 13.21 13.87420030008PennsylvaniaAllegheny35.9 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 8.45 8.61 8.80 8.92 9.10 9.43360050080New YorkBronx35.9 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 4.33 4.42 4.64 4.85 5.45 5.76390610040OhioHamilton35.8 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 14.86 15.13 15.49 15.8416.15 16.84211110043KentuckyJefferson35.8 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 13.70 13.86 14.26 14.7415.05 15.75420430401PennsylvaniaDauphin35.7 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 5.97 6.05 6.22 6.31 6.46 6.70170310057IllinoisCook35.7 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 6.80 6.85 6.96 7.11 7.25 7.69090091123ConnecticutNew Haven35.7 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 5.03 5.22 5.41 5.57 5.91 6.18290990012MissouriJefferson35.7 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 13.21 13.31 13.54 13.9114.26 15.78340171003New JerseyHudson35.7 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 4.06 4.15 4.41 4.57 5.01 5.35170312001IllinoisCook35.6 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 8.08 8.16 8.37 8.61 8.81 9.36391530017OhioSummit35.6 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 10.25 10.46 10.71 10.92 11.19 11.65211110048KentuckyJefferson35.6 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 12.03 12.18 12.51 12.95 13.21 13.83291831002MissouriSaintCharles35.5 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 12.53 12.63 12.85 13.21 13.53 14.82245100049MarylandBaltimore(City35.5 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 2.30 2.36 2.43 2.57 2.64 2.78261630001MichiganWayne35.4 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 10.09 10.28 10.54 10.92 11.23 11.94360610062New YorkNew York35.3 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 3.91 3.99 4.20 4.35 4.74 5.03420410101PennsylvaniaCumberland35.3 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 5.20 5.28 5.42 5.49 5.61 5.78390810017OhioJefferson35.3 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 9.72 9.93 10.15 10.34 10.57 11.04171630010IllinoisSaint Clair35.3 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 12.03 12.13 12.33 12.65 12.94 14.08295100085MissouriSt. LouisCity35.3 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 12.56 12.64 12.85 13.22 13.56 15.14181670023IndianaVigo35.1 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 12.66 12.81 13.17 13.54 13.84 14.61550250047WisconsinDane35.1 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 5.93 6.00 6.12 6.29 6.49 7.17471650007TennesseeSumner35.1 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 14.73 15.00 15.27 15.66 15.99 16.80171971002IllinoisWill35.1 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 7.86 7.94 8.09 8.29 8.47 8.99210290006KentuckyBullitt35 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 14.14 14.33 14.70 15.18 15.48 16.19170310022IllinoisCook34.9 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 6.35 6.38 6.58 6.77 6.92 7.37551330027WisconsinWaukesha34.9 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 6.31 6.39 6.53 6.71 6.89 7.44550790059WisconsinMilwaukee34.8 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 7.11 7.19 7.34 7.55 7.78 8.42245100035MarylandBaltimore(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 2.12 2.17 2.23 2.37 2.43 2.56390350027OhioCuyahoga34.5 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 8.31 8.48 8.71 8.87 9.12 9.48191390015IowaMuscatine34.5 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 4.93 4.98 5.06 5.19 5.33 5.84211451004KentuckyMcCracken34.4 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 12.05 12.19 12.49 12.89 13.16 13.91420030095PennsylvaniaAllegheny34.3 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 8.86 9.02 9.23 9.37 9.56 9.90180431004IndianaFloyd34.3 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 13.98 14.17 14.54 15.0315.33 16.06391130031OhioMontgomery34.3 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 11.47 11.68 11.96 12.24 12.49 13.01391351001OhioPreble34.3 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 14.73 14.99 15.36 15.7916.13 16.91390950024OhioLucas34.2 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 7.33 7.46 7.65 7.90 8.13 8.60360610079New YorkNew York34.2 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 4.99 5.10 5.36 5.63 6.36 6.7578390990014OhioMahoning34.2 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 7.95 8.11 8.30 8.44 8.63 8.97170310050IllinoisCook34.1 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 8.73 8.82 9.03 9.27 9.49 10.06110010041District OfColumbiaDistrict OfColumbia34 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 6.68 6.84 7.07 7.26 7.49 7.80540090005WestVirginiaBrooke33.9 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 8.18 8.35 8.55 8.70 8.89 9.26391550007OhioTrumbull33.9 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 7.98 8.14 8.33 8.47 8.65 9.00421255001PennsylvaniaWashington33.9 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 11.16 11.41 11.65 11.85 12.12 12.62420033007PennsylvaniaAllegheny33.8 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 11.23 11.45 11.71 11.88 12.12 12.58240031003MarylandAnneArundel33.8 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 5.25 5.34 5.48 5.64 5.78 5.98180390003IndianaElkhart33.8 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 8.39 8.50 8.71 8.93 9.12 9.63212270007KentuckyWarren33.7 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 14.36 14.58 14.89 15.3215.64 16.44390350034OhioCuyahoga33.7 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 8.25 8.41 8.64 8.84 9.09 9.50170314007IllinoisCook33.6 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 9.63 9.72 9.91 10.13 10.34 10.94390950026OhioLucas33.6 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 11.21 11.42 11.70 12.00 12.31 12.93110010042District OfColumbiaDistrict OfColumbia33 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 5.14 5.26 5.45 5.59 5.77 5.99*To calculate a total reduction when both NOxand SO2have non-zero marginal costs, add the two values and then subtract the 2014 base case value. For example, for Allegheny, PA, (420030064) at$500/ton SO2and $1000/ton NOx, add 6.84 and 1.21 for a total of 8.05, then subtract the basecase value of 1.02. The resulting total reduction in concentration is 7.03g/m3.79Table 3-5. Total* Average Daily Reductions in Nitrate and Sulfate Concentration (g/m3) at Downwind Monitors from theState Containing the Receptoras a Function of EGU NOxand SO2Emissions Reductions at Various Marginal Costs per Tonof Reduction in 2014 (Estimated Using AQAT).Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014SO2MarginalCost perTon$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400NOxMarginalCost perTon$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0MonitorIdentificationNumberReceptorStateReceptorCounty2012Avg.DesignValue2012Max.DesignValue420030064PennsylvaniaAllegheny58.8 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 3.06 3.08 3.15 3.16 3.19 3.27261630033MichiganWayne42.1 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 1.05 1.06 1.10 1.43 1.59 2.16390350038OhioCuyahoga41.2 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 5.27 5.41 5.57 5.60 5.72 5.86420030093PennsylvaniaAllegheny41.1 46.2 0.00-0.02-0.02-0.02-0.02 -0.02 -0.02 0.00-0.020.58 2.12 2.29 2.49 2.54 2.96 2.99 3.09 3.18 3.20 3.28 3.28 3.32 3.39170311016IllinoisCook41 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 2.50 2.50 2.51 2.52 2.54 2.59261630016MichiganWayne40.6 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 1.02 1.03 1.06 1.36 1.51 2.02180970043IndianaMarion40.5 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 5.97 6.00 6.27 6.47 6.63 7.04390170003OhioButler40.3 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 4.65 4.78 4.92 4.95 5.06 5.18180970066IndianaMarion40.3 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 6.27 6.30 6.59 6.79 6.96 7.39420210011PennsylvaniaCambria40.3 40.7 0.00-0.05-0.05-0.05-0.05 -0.05 -0.05 0.00-0.051.74 6.32 6.82 7.40 7.57 8.80 8.91 9.18 9.45 9.51 9.75 9.76 9.87 10.10180970081IndianaMarion40.1 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 5.46 5.49 5.74 5.92 6.06 6.44010730023AlabamaJefferson40 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 2.81 3.03 3.71 3.74 4.02 4.23171191007IllinoisMadison40 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 2.87 2.87 2.88 2.89 2.92 2.98540090011WestVirginiaBrooke39.9 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 1.21 1.25 1.26 1.28 1.32 1.38390618001OhioHamilton39.6 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 3.70 3.81 3.92 3.94 4.02 4.12390350060OhioCuyahoga39.4 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 4.85 4.98 5.12 5.15 5.26 5.38171190023IllinoisMadison39.4 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 4.59 4.59 4.60 4.62 4.67 4.77180970083IndianaMarion39 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 6.26 6.29 6.57 6.78 6.94 7.38550790043WisconsinMilwaukee38.8 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 0.29 0.32 0.33 0.34 0.41 0.58180970078IndianaMarion38.7 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 5.93 5.96 6.23 6.42 6.58 6.99261630019MichiganWayne38.6 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 0.67 0.67 0.69 0.88 0.98 1.30170310052IllinoisCook38.5 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 2.90 2.90 2.91 2.92 2.95 3.00261630015MichiganWayne38.5 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 0.96 0.98 1.01 1.33 1.49 2.04390170017OhioButler38.5 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 3.83 3.94 4.06 4.08 4.17 4.27261470005MichiganSt. Clair38.4 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 0.53 0.54 0.55 0.72 0.80 1.08170313301IllinoisCook38.2 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 3.12 3.12 3.13 3.15 3.17 3.24340172002New JerseyHudson38.2 38.2 0.00-0.020.01 0.01 0.01 0.01 0.01 0.00-0.02-0.010.39 0.39 0.58 0.58 0.58 0.58 0.58 0.58 0.59 0.67 0.67 0.69 0.79180190006IndianaClark38.1 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 3.21 3.23 3.37 3.48 3.56 3.78261610008MichiganWashtenaw38.1 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 0.58 0.59 0.60 0.77 0.85 1.14010732003AlabamaJefferson38.1 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 1.75 1.89 2.31 2.33 2.51 2.6480170313103IllinoisCook38.1 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 3.02 3.02 3.03 3.04 3.07 3.13420031008PennsylvaniaAllegheny38 39.3 0.00-0.02-0.02-0.02-0.02 -0.02 -0.02 0.00-0.020.78 2.84 3.07 3.33 3.41 3.96 4.01 4.13 4.25 4.28 4.38 4.39 4.44 4.54390610006OhioHamilton38 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 3.89 4.00 4.12 4.15 4.23 4.34261250001MichiganOakland37.9 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 0.71 0.72 0.74 0.96 1.07 1.45390171004OhioButler37.8 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 4.01 4.12 4.25 4.27 4.36 4.47420710007PennsylvaniaLancaster37.7 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 3.66 3.68 3.77 3.77 3.81 3.90420070014PennsylvaniaBeaver37.7 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 2.66 2.68 2.74 2.75 2.78 2.84550790010WisconsinMilwaukee37.7 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 0.42 0.45 0.46 0.47 0.53 0.68390617001OhioHamilton37.7 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 4.06 4.17 4.30 4.32 4.41 4.52390610014OhioHamilton37.5 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 4.10 4.22 4.34 4.37 4.46 4.57390170016OhioButler37.5 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 3.19 3.28 3.38 3.40 3.47 3.56170316005IllinoisCook37.4 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 2.93 2.93 2.93 2.95 2.97 3.03180890022IndianaLake37.3 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 2.83 2.84 2.97 3.06 3.13 3.32180970079IndianaMarion37.2 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 5.43 5.46 5.71 5.88 6.03 6.40171192009IllinoisMadison37.2 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 4.11 4.11 4.12 4.15 4.18 4.27390610042OhioHamilton37.2 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 4.40 4.53 4.66 4.69 4.79 4.90360610056New YorkNew York37.1 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 0.70 0.71 0.77 0.93 1.45 1.56420030116PennsylvaniaAllegheny37.1 37.1 0.00-0.02-0.02-0.02-0.02 -0.02 -0.02 0.00-0.020.63 2.29 2.47 2.68 2.74 3.19 3.23 3.33 3.42 3.45 3.53 3.54 3.58 3.66261150005MichiganMonroe37 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 0.43 0.43 0.44 0.58 0.65 0.89210590005KentuckyDaviess37 37 0.00-0.22-0.22-0.22-0.22 -0.22 -0.22 0.00-0.225.74 5.80 6.02 6.08 6.09 6.15 6.30 6.76 6.89 6.99 7.20 7.64 7.79 8.00550790099WisconsinMilwaukee36.8 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 0.36 0.38 0.39 0.41 0.46 0.61191630019IowaScott36.8 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 0.59 0.60 0.60 0.61 0.62 0.90340390004New JerseyUnion36.7 37.2 0.00-0.03-0.01-0.01-0.01 -0.01 -0.01 0.00-0.03-0.020.32 0.32 0.48 0.48 0.48 0.49 0.49 0.49 0.49 0.56 0.56 0.58 0.66420031301PennsylvaniaAllegheny36.6 38.6 0.00-0.02-0.02-0.02-0.02 -0.02 -0.02 0.00-0.020.68 2.47 2.67 2.89 2.96 3.44 3.48 3.59 3.69 3.72 3.81 3.81 3.85 3.95471251009TennesseeMontgomery36.6 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 3.35 3.46 3.45 3.46 3.51 3.66390490024OhioFranklin36.6 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 3.81 3.91 4.03 4.05 4.13 4.23390811001OhioJefferson36.5 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 3.56 3.66 3.77 3.79 3.87 3.97390350065OhioCuyahoga36.5 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 4.72 4.85 4.99 5.02 5.12 5.25180372001IndianaDubois36.5 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 4.56 4.59 4.80 4.94 5.06 5.38171193007IllinoisMadison36.5 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 4.42 4.42 4.43 4.45 4.49 4.59295100087MissouriSt. LouisCity36.4 36.9 0.00-0.43-0.43-0.43-0.43 -0.43 -0.43 0.00-0.431.31 1.73 1.81 1.85 1.94 1.94 1.94 1.95 1.95 1.95 1.98 2.08 2.19 2.92550790026WisconsinMilwaukee36.3 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 0.36 0.38 0.39 0.40 0.45 0.59180890026IndianaLake36.3 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 2.09 2.10 2.19 2.26 2.31 2.44391130032OhioMontgomery36.3 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 4.35 4.48 4.61 4.64 4.73 4.85245100040MarylandBaltimore(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 0.32 0.32 0.31 0.43 0.43 0.47170310076IllinoisCook36.3 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 3.22 3.22 3.22 3.24 3.27 3.34180970042IndianaMarion36.3 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 6.02 6.05 6.32 6.52 6.68 7.09261630036MichiganWayne36.3 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 0.65 0.66 0.68 0.87 0.96 1.29360610128New YorkNew York36.2 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 0.51 0.52 0.56 0.69 1.08 1.17390490025OhioFranklin36.1 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 3.65 3.75 3.86 3.88 3.96 4.06390350045OhioCuyahoga36 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 5.02 5.16 5.31 5.34 5.45 5.58211110044KentuckyJefferson36 36.5 0.00-0.16-0.16-0.16-0.16 -0.16 -0.16 0.00-0.164.20 4.25 4.41 4.46 4.46 4.51 4.61 4.96 5.05 5.12 5.28 5.60 5.71 5.8681390610043OhioHamilton36 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 3.42 3.51 3.62 3.64 3.72 3.81295100007MissouriSt. LouisCity36 36.3 0.00-0.72-0.72-0.72-0.72 -0.72 -0.72 0.00-0.722.15 2.84 2.97 3.04 3.19 3.18 3.18 3.20 3.21 3.20 3.24 3.42 3.60 4.80421330008PennsylvaniaYork35.9 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 5.86 5.90 6.04 6.05 6.11 6.25181570008IndianaTippecanoe35.9 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 3.26 3.28 3.43 3.53 3.62 3.84180830004IndianaKnox35.9 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 4.22 4.24 4.43 4.57 4.68 4.97420030008PennsylvaniaAllegheny35.9 36.3 0.00-0.02-0.02-0.02-0.02 -0.02 -0.02 0.00-0.020.63 2.29 2.47 2.67 2.74 3.18 3.22 3.32 3.42 3.44 3.52 3.53 3.57 3.65360050080New YorkBronx35.9 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 0.61 0.61 0.67 0.82 1.31 1.42390610040OhioHamilton35.8 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 3.95 4.06 4.18 4.20 4.29 4.40211110043KentuckyJefferson35.8 36.4 0.00-0.15-0.15-0.15-0.15 -0.15 -0.15 0.00-0.153.94 3.99 4.14 4.18 4.18 4.23 4.33 4.65 4.73 4.80 4.95 5.25 5.35 5.49420430401PennsylvaniaDauphin35.7 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 3.92 3.94 4.03 4.04 4.08 4.17170310057IllinoisCook35.7 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 3.07 3.07 3.08 3.09 3.12 3.18090091123ConnecticutNew Haven35.7 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 0.11 0.20 0.20 0.20 0.21 0.22290990012MissouriJefferson35.7 36.5 0.00-0.63-0.63-0.63-0.63 -0.63 -0.63 0.00-0.631.89 2.50 2.62 2.68 2.81 2.80 2.80 2.82 2.83 2.82 2.86 3.01 3.17 4.23340171003New JerseyHudson35.7 36.1 0.00-0.07-0.06-0.06-0.06 -0.06 -0.06 0.00-0.07-0.070.49 0.49 0.75 0.74 0.74 0.75 0.75 0.75 0.76 0.86 0.86 0.89 1.03170312001IllinoisCook35.6 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 1.86 1.86 1.86 1.87 1.89 1.92391530017OhioSummit35.6 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 4.26 4.37 4.50 4.52 4.62 4.73211110048KentuckyJefferson35.6 36.4 0.00-0.15-0.15-0.15-0.15 -0.15 -0.15 0.00-0.153.77 3.81 3.96 4.00 4.00 4.05 4.14 4.45 4.53 4.59 4.74 5.03 5.12 5.26291831002MissouriSaintCharles35.5 37.1 0.00-0.51-0.51-0.51-0.51 -0.51 -0.51 0.00-0.511.54 2.03 2.12 2.18 2.28 2.28 2.28 2.29 2.29 2.29 2.32 2.45 2.57 3.43245100049MarylandBaltimore(City35.5 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 0.32 0.32 0.32 0.43 0.43 0.47261630001MichiganWayne35.4 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 0.68 0.69 0.71 0.93 1.04 1.41360610062New YorkNew York35.3 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 0.49 0.49 0.53 0.62 0.91 0.98420410101PennsylvaniaCumberland35.3 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 3.23 3.24 3.32 3.33 3.36 3.43390810017OhioJefferson35.3 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 3.34 3.43 3.53 3.55 3.63 3.72171630010IllinoisSaint Clair35.3 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 4.24 4.24 4.25 4.27 4.31 4.40295100085MissouriSt. LouisCity35.3 35.7 0.00-0.68-0.68-0.68-0.68 -0.68 -0.68 0.00-0.682.06 2.72 2.84 2.91 3.05 3.05 3.04 3.06 3.07 3.06 3.11 3.27 3.44 4.59181670023IndianaVigo35.1 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 4.67 4.69 4.90 5.05 5.17 5.49550250047WisconsinDane35.1 36.1 0.00-0.010.05 0.05 0.05 0.05 0.06 0.00-0.010.06 0.10 0.09 0.10 0.21 0.23 0.25 0.27 0.28 0.31 0.32 0.33 0.40 0.59471650007TennesseeSumner35.1 36 0.00-0.02-0.02-0.02-0.02 -0.02 -0.02 0.00-0.024.04 4.25 4.28 4.28 4.28 4.28 4.28 4.29 4.32 4.45 4.45 4.46 4.53 4.72171971002IllinoisWill35.1 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 2.57 2.57 2.58 2.59 2.61 2.66210290006KentuckyBullitt35 36.3 0.00-0.16-0.16-0.16-0.16 -0.16 -0.16 0.00-0.164.07 4.12 4.27 4.32 4.32 4.37 4.47 4.80 4.89 4.96 5.11 5.42 5.53 5.67170310022IllinoisCook34.9 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 1.30 1.30 1.30 1.30 1.31 1.34551330027WisconsinWaukesha34.9 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 0.18 0.19 0.20 0.21 0.25 0.37550790059WisconsinMilwaukee34.8 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 0.31 0.33 0.34 0.35 0.41 0.55245100035MarylandBaltimore(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 0.31 0.31 0.31 0.41 0.42 0.46390350027OhioCuyahoga34.5 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 4.52 4.64 4.77 4.80 4.90 5.02191390015IowaMuscatine34.5 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 0.53 0.54 0.54 0.54 0.55 0.75211451004KentuckyMcCracken34.4 36.8 0.00-0.11-0.11-0.11-0.11 -0.11 -0.11 0.00-0.112.85 2.89 3.00 3.02 3.03 3.06 3.13 3.36 3.43 3.47 3.58 3.80 3.88 3.98420030095PennsylvaniaAllegheny34.3 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 3.26 3.28 3.36 3.37 3.40 3.48180431004IndianaFloyd34.3 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 3.99 4.01 4.20 4.33 4.43 4.7182391130031OhioMontgomery34.3 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 3.27 3.36 3.46 3.48 3.55 3.64391351001OhioPreble34.3 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 3.43 3.53 3.64 3.66 3.74 3.83390950024OhioLucas34.2 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 2.52 2.59 2.66 2.68 2.73 2.79360610079New YorkNew York34.2 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 0.68 0.69 0.76 0.95 1.55 1.68390990014OhioMahoning34.2 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 3.30 3.39 3.48 3.50 3.57 3.66170310050IllinoisCook34.1 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 2.30 2.31 2.31 2.32 2.34 2.39110010041District OfColumbiaDistrict OfColumbia34 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 0.03 0.03 0.03 0.03 0.03 0.03540090005WestVirginiaBrooke33.9 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 1.75 1.82 1.83 1.86 1.91 2.00391550007OhioTrumbull33.9 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 2.98 3.06 3.15 3.17 3.23 3.31421255001PennsylvaniaWashington33.9 35.5 0.00-0.01-0.01-0.01-0.01 -0.01 -0.01 0.00-0.010.44 1.61 1.74 1.89 1.93 2.25 2.28 2.35 2.41 2.43 2.49 2.49 2.52 2.58420033007PennsylvaniaAllegheny33.8 38.5 0.00-0.02-0.02-0.02-0.02 -0.02 -0.02 0.00-0.020.72 2.63 2.84 3.08 3.15 3.66 3.71 3.82 3.93 3.96 4.05 4.06 4.10 4.20240031003MarylandAnneArundel33.8 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 0.34 0.34 0.34 0.43 0.43 0.46180390003IndianaElkhart33.8 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 2.61 2.62 2.74 2.82 2.89 3.06212270007KentuckyWarren33.7 36.3 0.00-0.11-0.11-0.11-0.11 -0.11 -0.11 0.00-0.112.73 2.76 2.87 2.90 2.90 2.93 3.00 3.22 3.28 3.33 3.43 3.64 3.71 3.81390350034OhioCuyahoga33.7 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 3.81 3.91 4.02 4.04 4.12 4.22170314007IllinoisCook33.6 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 3.48 3.49 3.49 3.51 3.54 3.61390950026OhioLucas33.6 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 3.46 3.56 3.67 3.69 3.76 3.86110010042District OfColumbiaDistrict OfColumbia33 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 0.03 0.03 0.03 0.03 0.03 0.03*To calculate a total reduction when both NOxand SO2have non-zero marginal costs, add the two values and then subtract the 2014 base case value..83Table 3-6. Total* Average Daily Reductions in Nitrate and Sulfate Concentration (g/m3) at Downwind Monitors from theStates Upwind of the Receptoras a Function of EGU NOxand SO2Emissions Reductions at Various Marginal Costs per Tonof Reduction in 2014 (Estimated Using AQAT).Year 2012 2014 2014 2014 2014 2014 2014 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014 2014SO2MarginalCost perTon$0 $0 $0 $0 $0 $0 $0 $0 $0 $100 $200 $300 $400 $500 $600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400NOxMarginalCost perTon$0 $0 $500 $750 $1,000 $1,250 $1,500 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0 $0MonitorIdentificationNumberReceptorStateReceptorCounty2012Avg.DesignValue2012Max.DesignValue420030064PennsylvaniaAllegheny58.8 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 4.87 5.00 5.11 5.22 5.36 5.59261630033MichiganWayne42.1 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 7.70 7.83 8.01 8.17 8.35 8.68390350038OhioCuyahoga41.2 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 7.06 7.17 7.33 7.55 7.77 8.19420030093PennsylvaniaAllegheny41.1 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 7.26 7.45 7.60 7.76 7.95 8.28170311016IllinoisCook41 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 4.94 5.01 5.15 5.32 5.47 5.90261630016MichiganWayne40.6 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 5.48 5.56 5.71 5.80 5.94 6.15180970043IndianaMarion40.5 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 10.16 10.34 10.54 10.82 11.03 11.51390170003OhioButler40.3 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 13.88 14.08 14.40 14.8515.15 15.86180970066IndianaMarion40.3 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 10.01 10.19 10.40 10.68 10.89 11.36420210011PennsylvaniaCambria40.3 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 6.79 6.96 7.13 7.32 7.51 7.90180970081IndianaMarion40.1 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 9.85 10.04 10.22 10.49 10.69 11.15010730023AlabamaJefferson40 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 4.14 4.22 4.30 4.37 4.45 4.61171191007IllinoisMadison40 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 6.33 6.42 6.57 6.80 6.99 7.79540090011WestVirginiaBrooke39.9 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 6.20 6.30 6.47 6.58 6.72 6.99390618001OhioHamilton39.6 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 8.86 9.00 9.23 9.51 9.71 10.21390350060OhioCuyahoga39.4 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 4.31 4.37 4.47 4.64 4.81 5.10171190023IllinoisMadison39.4 40.2 0.00-0.04-0.04-0.04-0.04 -0.04 -0.04 0.00-0.045.47 6.30 6.80 7.11 7.28 7.41 7.55 7.78 7.86 7.95 8.15 8.45 8.71 9.80180970083IndianaMarion39 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 10.46 10.65 10.85 11.15 11.36 11.85550790043WisconsinMilwaukee38.8 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 8.47 8.55 8.73 8.94 9.13 9.69180970078IndianaMarion38.7 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 10.12 10.30 10.50 10.78 10.99 11.47261630019MichiganWayne38.6 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 5.09 5.17 5.31 5.40 5.52 5.71170310052IllinoisCook38.5 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 4.05 4.10 4.22 4.36 4.48 4.87261630015MichiganWayne38.5 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 8.94 9.11 9.35 9.53 9.73 10.13390170017OhioButler38.5 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 11.44 11.60 11.87 12.24 12.48 13.07261470005MichiganSt. Clair38.4 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 6.26 6.37 6.52 6.64 6.81 7.04170313301IllinoisCook38.2 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 4.71 4.78 4.92 5.10 5.26 5.71340172002New JerseyHudson38.2 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 2.72 2.79 2.91 3.06 3.49 3.66180190006IndianaClark38.1 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 9.36 9.51 9.69 9.99 10.17 10.59261610008MichiganWashtenaw38.1 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 8.31 8.45 8.65 8.81 9.00 9.35010732003AlabamaJefferson38.1 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 3.38 3.44 3.51 3.58 3.64 3.78170313103IllinoisCook38.1 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 2.92 2.95 3.04 3.16 3.25 3.59420031008PennsylvaniaAllegheny38 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 7.95 8.14 8.33 8.51 8.72 9.10390610006OhioHamilton38 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 11.83 12.01 12.31 12.68 12.94 13.58261250001MichiganOakland37.9 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 9.09 9.25 9.47 9.64 9.82 10.20390171004OhioButler37.8 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 11.14 11.30 11.56 11.92 12.16 12.74420710007PennsylvaniaLancaster37.7 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 1.26 1.30 1.34 1.38 1.44 1.51420070014PennsylvaniaBeaver37.7 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 6.52 6.68 6.84 6.99 7.17 7.49550790010WisconsinMilwaukee37.7 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 4.43 4.45 4.51 4.65 4.78 5.17390617001OhioHamilton37.7 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 10.92 11.08 11.32 11.67 11.90 12.51390610014OhioHamilton37.5 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 10.25 10.42 10.69 11.01 11.25 11.8184390170016OhioButler37.5 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 11.79 11.96 12.23 12.60 12.85 13.48170316005IllinoisCook37.4 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 3.64 3.69 3.80 3.93 4.04 4.39180890022IndianaLake37.3 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 2.53 2.55 2.57 2.63 2.70 2.95180970079IndianaMarion37.2 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 10.52 10.71 10.93 11.22 11.4411.93171192009IllinoisMadison37.2 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 7.61 7.70 7.89 8.18 8.43 9.43390610042OhioHamilton37.2 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 9.21 9.34 9.55 9.84 10.03 10.52360610056New YorkNew York37.1 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 2.71 2.77 2.87 2.91 2.97 3.11420030116PennsylvaniaAllegheny37.1 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 7.10 7.28 7.44 7.60 7.79 8.16261150005MichiganMonroe37 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 11.09 11.30 11.60 11.83 12.07 12.56210590005KentuckyDaviess37 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 10.05 10.14 10.42 10.65 10.88 11.58550790099WisconsinMilwaukee36.8 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 5.82 5.86 5.96 6.13 6.28 6.76191630019IowaScott36.8 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 12.19 12.35 12.61 12.95 13.26 14.14340390004New JerseyUnion36.7 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 4.56 4.66 4.82 4.94 5.20 5.43420031301PennsylvaniaAllegheny36.6 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 6.74 6.91 7.07 7.22 7.41 7.74471251009TennesseeMontgomery36.6 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 9.78 9.90 10.14 10.44 10.67 11.26390490024OhioFranklin36.6 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 6.82 6.92 7.07 7.28 7.47 7.87390811001OhioJefferson36.5 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 6.06 6.18 6.30 6.46 6.62 6.96390350065OhioCuyahoga36.5 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 5.31 5.38 5.50 5.67 5.85 6.17180372001IndianaDubois36.5 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 9.34 9.49 9.67 9.97 10.16 10.56171193007IllinoisMadison36.5 37.3 0.00-0.03-0.03-0.03-0.03 -0.03 -0.03 0.00-0.035.67 6.58 7.10 7.43 7.60 7.76 7.91 8.15 8.23 8.33 8.54 8.86 9.13 10.21295100087MissouriSt. LouisCity36.4 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 9.95 10.05 10.22 10.43 10.61 11.01550790026WisconsinMilwaukee36.3 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 4.85 4.88 4.96 5.10 5.23 5.63180890026IndianaLake36.3 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 4.60 4.67 4.74 4.89 5.01 5.38391130032OhioMontgomery36.3 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 11.61 11.79 12.05 12.43 12.68 13.31245100040MarylandBaltimore(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 1.99 2.04 2.11 2.14 2.21 2.31170310076IllinoisCook36.3 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 5.81 5.89 6.07 6.29 6.47 6.98180970042IndianaMarion36.3 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 10.46 10.64 10.85 11.16 11.38 11.87261630036MichiganWayne36.3 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 7.47 7.59 7.77 7.92 8.10 8.45360610128New YorkNew York36.2 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 5.75 5.86 6.06 6.17 6.31 6.61390490025OhioFranklin36.1 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 6.62 6.71 6.86 7.07 7.26 7.67390350045OhioCuyahoga36 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 5.40 5.49 5.61 5.80 5.99 6.34211110044KentuckyJefferson36 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 8.31 8.41 8.62 8.78 8.97 9.50390610043OhioHamilton36 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 11.88 12.05 12.32 12.70 12.96 13.62295100007MissouriSt. LouisCity36 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 10.33 10.44 10.62 10.82 11.01 11.46421330008PennsylvaniaYork35.9 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 3.40 3.50 3.62 3.73 3.88 4.07181570008IndianaTippecanoe35.9 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 9.69 9.88 10.06 10.26 10.46 10.90180830004IndianaKnox35.9 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 7.81 7.93 8.10 8.36 8.53 8.91420030008PennsylvaniaAllegheny35.9 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 5.03 5.17 5.28 5.39 5.53 5.78360050080New YorkBronx35.9 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 3.72 3.80 3.97 4.03 4.13 4.35390610040OhioHamilton35.8 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 10.92 11.07 11.32 11.63 11.86 12.44211110043KentuckyJefferson35.8 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 8.97 9.06 9.31 9.49 9.69 10.25420430401PennsylvaniaDauphin35.7 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 2.05 2.11 2.19 2.27 2.38 2.52170310057IllinoisCook35.7 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 3.73 3.77 3.88 4.02 4.14 4.52090091123ConnecticutNew Haven35.7 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 4.92 5.02 5.20 5.36 5.71 5.96290990012MissouriJefferson35.7 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 10.38 10.49 10.68 10.89 11.0911.55340171003New JerseyHudson35.7 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 3.31 3.40 3.54 3.71 4.12 4.32170312001IllinoisCook35.6 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 6.22 6.30 6.51 6.74 6.92 7.43391530017OhioSummit35.6 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 5.99 6.09 6.21 6.39 6.57 6.92211110048KentuckyJefferson35.6 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 7.50 7.59 7.78 7.92 8.09 8.57291831002MissouriSaintCharles35.5 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 10.23 10.34 10.53 10.76 10.96 11.39245100049MarylandBaltimore(City35.5 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 1.99 2.04 2.11 2.14 2.21 2.31261630001MichiganWayne35.4 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 9.41 9.60 9.83 10.00 10.19 10.53360610062New YorkNew York35.3 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 3.42 3.50 3.68 3.73 3.82 4.06420410101PennsylvaniaCumberland35.3 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 1.97 2.03 2.10 2.17 2.25 2.3485390810017OhioJefferson35.3 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 6.38 6.49 6.62 6.78 6.94 7.33171630010IllinoisSaint Clair35.3 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 7.79 7.89 8.08 8.38 8.63 9.68295100085MissouriSt. LouisCity35.3 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 9.49 9.58 9.74 9.95 10.12 10.55181670023IndianaVigo35.1 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 8.00 8.12 8.27 8.49 8.66 9.12550250047WisconsinDane35.1 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 5.65 5.70 5.80 5.95 6.08 6.58471650007TennesseeSumner35.1 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 10.41 10.55 10.83 11.20 11.46 12.09171971002IllinoisWill35.1 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 5.29 5.37 5.52 5.70 5.86 6.32210290006KentuckyBullitt35 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 9.25 9.37 9.59 9.75 9.96 10.51170310022IllinoisCook34.9 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 5.05 5.09 5.28 5.46 5.61 6.03551330027WisconsinWaukesha34.9 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 6.14 6.20 6.33 6.49 6.64 7.07550790059WisconsinMilwaukee34.8 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 6.81 6.87 7.00 7.20 7.37 7.87245100035MarylandBaltimore(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 1.81 1.86 1.93 1.95 2.01 2.10390350027OhioCuyahoga34.5 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 3.80 3.84 3.94 4.07 4.22 4.46191390015IowaMuscatine34.5 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 4.40 4.45 4.53 4.65 4.77 5.09211451004KentuckyMcCracken34.4 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 8.62 8.71 8.91 9.09 9.28 9.94420030095PennsylvaniaAllegheny34.3 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 5.60 5.74 5.87 6.00 6.15 6.42180431004IndianaFloyd34.3 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 9.99 10.15 10.35 10.70 10.90 11.35391130031OhioMontgomery34.3 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 8.20 8.32 8.50 8.76 8.94 9.37391351001OhioPreble34.3 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 11.30 11.46 11.73 12.13 12.39 13.08390950024OhioLucas34.2 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 4.81 4.87 4.99 5.22 5.40 5.81360610079New YorkNew York34.2 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 4.31 4.40 4.60 4.68 4.81 5.07390990014OhioMahoning34.2 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 4.65 4.72 4.82 4.94 5.05 5.31170310050IllinoisCook34.1 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 6.43 6.52 6.72 6.95 7.14 7.67110010041District OfColumbiaDistrict OfColumbia34 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 6.65 6.81 7.04 7.23 7.46 7.77540090005WestVirginiaBrooke33.9 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 6.43 6.53 6.72 6.84 6.98 7.26391550007OhioTrumbull33.9 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 5.00 5.08 5.18 5.30 5.42 5.69421255001PennsylvaniaWashington33.9 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 8.74 8.98 9.16 9.36 9.60 10.04420033007PennsylvaniaAllegheny33.8 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 7.30 7.49 7.65 7.82 8.02 8.38240031003MarylandAnneArundel33.8 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 4.91 5.00 5.14 5.21 5.35 5.52180390003IndianaElkhart33.8 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 5.78 5.88 5.98 6.11 6.24 6.57212270007KentuckyWarren33.7 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 11.08 11.26 11.46 11.67 11.92 12.63390350034OhioCuyahoga33.7 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 4.45 4.50 4.62 4.80 4.96 5.28170314007IllinoisCook33.6 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 6.15 6.24 6.42 6.62 6.80 7.33390950026OhioLucas33.6 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 7.75 7.86 8.04 8.32 8.55 9.08110010042District OfColumbiaDistrict OfColumbia33 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 5.11 5.24 5.42 5.57 5.75 5.96*To calculate a total reduction when both NOxand SO2have non-zero marginal costs, add the two values and then subtract the 2014 base case value. For example, for Allegheny, PA, (420030064) at$500/ton SO2and $1000/ton NOx, add 4.39 and 1.11 for a total of 8.05, then subtract the basecase value of 1.00. The resulting total reduction in concentration is 4.50g/m3.86Table 3-7. Reduction in Ozone Concentration (ppb) at Downwind Monitors from All Statesas a Function of Ozone SeasonEGU NOx Emission Reductions at Various Marginal Costs per Ton of Reduction in 2012 Estimated Using AQAT.Year 2012 2012 2012 2012 2012 2012 2012 2012 2012NOxMarginalCost per Ton$0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000MonitorIdentificationNumberReceptorStateReceptorCounty2012 AverageDesign Value2012 MaximumDesign Value482010055TexasHarris95.797.9 0.00 1.29 1.31 1.33 1.36 1.42 1.42 1.43 1.45482010062TexasHarris90.593.7 0.00 1.35 1.40 1.42 1.46 1.51 1.51 1.52 1.54482011039TexasHarris90.593.9 0.00 1.28 1.30 1.31 1.35 1.39 1.39 1.40 1.42482010066TexasHarris89.993.5 0.00 1.14 1.16 1.17 1.21 1.25 1.24 1.25 1.26480391004TexasBrazoria88.891 0.00 1.36 1.37 1.38 1.41 1.46 1.46 1.46 1.47482010051TexasHarris88.493.1 0.00 1.19 1.21 1.23 1.26 1.31 1.31 1.32 1.34220330003LouisianaEast BatonRouge87.891.6 0.00 1.28 1.31 1.33 1.33 1.32 1.32 1.32 1.32361030002New YorkSuffolk86.387.2 0.00 0.03 0.06 0.12 0.21 0.27 0.29 0.32 0.68421010024PennsylvaniaPhiladelphia85.386 0.00 0.02 0.04 0.15 0.29 0.40 0.45 0.53 1.24361030009New YorkSuffolk85.185.8 0.00 0.01 0.03 0.08 0.15 0.20 0.22 0.25 0.53484391002TexasTarrant85.186.7 0.00 1.44 1.47 1.48 1.51 1.58 1.58 1.58 1.58090011123ConnecticutFairfield84.886.4 0.00 0.03 0.04 0.08 0.13 0.18 0.19 0.21 0.44361192004New YorkWestchester84.786.9 0.00 0.03 0.06 0.11 0.16 0.21 0.22 0.25 0.48481130087TexasDallas84.685.6 0.00 1.38 1.38 1.39 1.41 1.47 1.47 1.47 1.47090013007ConnecticutFairfield84.586.4 0.00 0.03 0.04 0.08 0.13 0.17 0.19 0.20 0.46131210055GeorgiaFulton84.486.5 0.00 0.69 0.72 0.78 0.81 0.87 0.87 0.88 0.93482010029TexasHarris84.485.6 0.00 1.13 1.21 1.22 1.25 1.30 1.30 1.30 1.31484392003TexasTarrant8485.2 0.00 1.33 1.33 1.34 1.38 1.44 1.43 1.44 1.44482011050TexasHarris83.986.5 0.00 1.18 1.19 1.20 1.23 1.27 1.27 1.27 1.28482011015TexasHarris83.790.3482010024TexasHarris83.387.1 0.00 1.07 1.11 1.12 1.15 1.19 1.19 1.19 1.20090010017ConnecticutFairfield83.185 0.00 0.04 0.07 0.13 0.21 0.26 0.28 0.31 0.64090093002ConnecticutNew Haven82.985.4 0.00 0.03 0.06 0.10 0.16 0.20 0.22 0.24 0.50481130069TexasDallas82.985.8 0.00 1.38 1.38 1.39 1.42 1.48 1.48 1.48 1.48482011035TexasHarris8290.3420170012PennsylvaniaBucks81.885.6 0.00 0.02 0.04 0.14 0.25 0.35 0.39 0.46 1.00130890002GeorgiaDeKalb81.685.6 0.00 0.67 0.70 0.75 0.78 0.83 0.83 0.84 0.8987Table 3-8. Reduction in Ozone Concentration (ppb) at Downwind Monitors fromthe State Containing the Receptoras aFunction of Ozone Season EGU NOx Emission Reductions at Various Marginal Costsper Ton of Reduction in 2012 EstimatedUsing AQAT.Year2012 2012 2012 2012 2012 2012 2012 2012 2012NOxMarginalCost per Ton$0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000MonitorIdentificationNumberReceptorStateReceptorCounty2012 AverageDesign Value2012 MaximumDesign Value482010055TexasHarris95.797.9 0.00 0.75 0.76 0.76 0.78 0.83 0.83 0.83 0.83482010062TexasHarris90.593.7 0.00 0.68 0.68 0.69 0.71 0.75 0.75 0.75 0.75482011039TexasHarris90.593.9 0.00 0.67 0.68 0.68 0.70 0.74 0.74 0.74 0.74482010066TexasHarris89.993.5 0.00 0.59 0.59 0.60 0.61 0.65 0.65 0.65 0.65480391004TexasBrazoria88.891 0.00 0.75 0.75 0.75 0.77 0.82 0.82 0.82 0.82482010051TexasHarris88.493.1 0.00 0.70 0.70 0.70 0.72 0.77 0.76 0.76 0.76220330003LouisianaEast BatonRouge87.891.6 0.00 0.85 0.87 0.89 0.89 0.88 0.87 0.87 0.87361030002New YorkSuffolk86.387.2 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.01421010024PennsylvaniaPhiladelphia85.386 0.00 0.01 0.00 0.07 0.13 0.21 0.24 0.31 0.74361030009New YorkSuffolk85.185.8 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00484391002TexasTarrant85.186.7 0.00 0.94 0.94 0.94 0.97 1.03 1.03 1.03 1.03090011123ConnecticutFairfield84.886.4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00361192004New YorkWestchester84.786.9 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.01481130087TexasDallas84.685.6 0.00 0.86 0.86 0.86 0.89 0.94 0.94 0.94 0.94090013007ConnecticutFairfield84.586.4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00131210055GeorgiaFulton84.486.5 0.00 0.54 0.53 0.58 0.59 0.64 0.64 0.64 0.68482010029TexasHarris84.485.6 0.00 0.72 0.72 0.73 0.75 0.79 0.79 0.79 0.79484392003TexasTarrant8485.2 0.00 0.90 0.90 0.91 0.93 0.99 0.99 0.99 0.99482011050TexasHarris83.986.5 0.00 0.69 0.70 0.70 0.72 0.76 0.76 0.76 0.76482011015TexasHarris83.790.3482010024TexasHarris83.387.1 0.00 0.64 0.64 0.64 0.66 0.70 0.70 0.70 0.70090010017ConnecticutFairfield83.185 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00090093002ConnecticutNew Haven82.985.4 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00481130069TexasDallas82.985.8 0.00 0.86 0.86 0.87 0.89 0.95 0.94 0.94 0.94482011035TexasHarris8290.3420170012PennsylvaniaBucks81.885.6 0.00 0.01 0.00 0.05 0.09 0.15 0.17 0.23 0.54130890002GeorgiaDeKalb81.685.6 0.00 0.52 0.51 0.56 0.57 0.62 0.62 0.62 0.6688Table 3-9. Reduction in Ozone Concentration (ppb) at Downwind Monitors from the States Upwind of the Receptoras aFunction of Ozone Season EGU NOx Emission Reductions at Various Marginal Costsper Ton of Reduction in 2012 EstimatedUsing AQAT.Year 2012 2012 2012 2012 2012 2012 2012 2012 2012NOxMarginalCost per Ton$0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000MonitorIdentificationNumberReceptorStateReceptorCounty2012 AverageDesign Value2012 MaximumDesign Value482010055TexasHarris95.797.9 0.00 0.53 0.55 0.57 0.58 0.59 0.59 0.60 0.62482010062TexasHarris90.593.7 0.00 0.67 0.72 0.74 0.75 0.76 0.76 0.77 0.79482011039TexasHarris90.593.9 0.00 0.60 0.62 0.63 0.65 0.65 0.65 0.66 0.68482010066TexasHarris89.993.5 0.00 0.55 0.57 0.58 0.59 0.59 0.59 0.60 0.61480391004TexasBrazoria88.891 0.00 0.61 0.62 0.63 0.64 0.64 0.64 0.64 0.65482010051TexasHarris88.493.1 0.00 0.49 0.51 0.52 0.54 0.55 0.55 0.55 0.57220330003LouisianaEast BatonRouge87.891.6 0.00 0.43 0.44 0.44 0.44 0.44 0.45 0.45 0.45361030002New YorkSuffolk86.387.2 0.00 0.03 0.06 0.12 0.21 0.26 0.29 0.32 0.67421010024PennsylvaniaPhiladelphia85.386 0.00 0.01 0.05 0.08 0.17 0.19 0.22 0.22 0.49361030009New YorkSuffolk85.185.8 0.00 0.01 0.03 0.08 0.15 0.19 0.22 0.25 0.53484391002TexasTarrant85.186.7 0.00 0.50 0.53 0.54 0.55 0.55 0.55 0.55 0.56090011123ConnecticutFairfield84.886.4 0.00 0.03 0.04 0.08 0.13 0.17 0.19 0.20 0.44361192004New YorkWestchester84.786.9 0.00 0.03 0.06 0.10 0.16 0.21 0.23 0.25 0.48481130087TexasDallas84.685.6 0.00 0.52 0.52 0.53 0.53 0.53 0.53 0.53 0.53090013007ConnecticutFairfield84.586.4 0.00 0.03 0.04 0.08 0.13 0.17 0.19 0.20 0.46131210055GeorgiaFulton84.486.5 0.00 0.15 0.19 0.20 0.22 0.22 0.23 0.24 0.25482010029TexasHarris84.485.6 0.00 0.41 0.48 0.50 0.50 0.51 0.51 0.51 0.52484392003TexasTarrant8485.2 0.00 0.43 0.43 0.44 0.44 0.45 0.45 0.45 0.45482011050TexasHarris83.986.5 0.00 0.49 0.50 0.50 0.51 0.51 0.51 0.51 0.52482011015TexasHarris83.790.3482010024TexasHarris83.387.1 0.00 0.43 0.47 0.48 0.49 0.49 0.49 0.49 0.50090010017ConnecticutFairfield83.185 0.00 0.04 0.07 0.13 0.21 0.26 0.28 0.31 0.64090093002ConnecticutNew Haven82.985.4 0.00 0.03 0.05 0.10 0.16 0.20 0.21 0.24 0.50481130069TexasDallas82.985.8 0.00 0.52 0.52 0.52 0.53 0.53 0.54 0.54 0.54482011035TexasHarris8290.3420170012PennsylvaniaBucks81.885.6 0.00 0.01 0.05 0.09 0.16 0.20 0.22 0.23 0.47130890002GeorgiaDeKalb81.685.6 0.00 0.15 0.19 0.19 0.21 0.21 0.21 0.22 0.2389Table 3-10. Reduction in Ozone Concentration(ppb) at Downwind Monitors from All Statesas a Function of Ozone SeasonEGU NOx Emission Reductions at Various Marginal Costs per Ton of Reduction in 2014 Estimated Using AQAT.Year 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014NOxMarginalCost per Ton$0 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000MonitorIdentificationNumberReceptorStateReceptorCounty2012AverageDesign Value2012 MaximumDesign Value482010055TexasHarris95.797.9 0.00 4.78 5.99 6.04 6.07 6.11 6.18 6.20 6.34 6.50482010062TexasHarris90.593.7 0.00 4.57 5.84 5.91 5.94 5.98 6.04 6.06 6.24 6.42482011039TexasHarris90.593.9 0.00 4.40 5.61 5.65 5.67 5.71 5.77 5.79 5.97 6.12482010066TexasHarris89.993.5 0.00 4.17 5.25 5.28 5.30 5.34 5.39 5.41 5.57 5.72480391004TexasBrazoria88.891 0.00 4.43 5.72 5.76 5.78 5.83 5.90 5.91 6.04 6.16482010051TexasHarris88.493.1 0.00 4.42 5.53 5.58 5.60 5.64 5.71 5.72 5.86 6.00220330003LouisianaEast BatonRouge87.891.6 0.00 2.93 4.15 4.15 4.15 4.16 4.16 4.16 4.96 5.09361030002New YorkSuffolk86.387.2 0.00 3.72 3.79 3.90 4.11 4.15 4.25 4.31 4.40 5.46421010024PennsylvaniaPhiladelphia85.386 0.00 3.58 3.66 3.86 4.04 4.02 4.15 4.20 4.30 6.96361030009New YorkSuffolk85.185.8 0.00 3.63 3.69 3.78 3.93 3.97 4.04 4.10 4.16 5.16484391002TexasTarrant85.186.7 0.00 4.40 5.72 5.80 5.82 5.87 5.98 5.99 6.05 6.15090011123ConnecticutFairfield84.886.4 0.00 4.04 4.10 4.18 4.35 4.38 4.45 4.51 4.56 5.27361192004New YorkWestchester84.786.9 0.00 3.89 3.96 4.05 4.24 4.28 4.35 4.43 4.49 5.27481130087TexasDallas84.685.6 0.00 4.05 5.32 5.37 5.39 5.43 5.53 5.54 5.58 5.65090013007ConnecticutFairfield84.586.4 0.00 4.04 4.11 4.20 4.38 4.40 4.47 4.54 4.59 5.37131210055GeorgiaFulton84.486.5 0.00 9.37 10.01 10.11 10.19 10.21 10.20 10.28 10.31 10.46482010029TexasHarris84.485.6 0.00 3.90 4.93 5.05 5.06 5.10 5.17 5.20 5.36 5.45484392003TexasTarrant8485.2 0.00 4.32 5.55 5.60 5.62 5.66 5.76 5.77 5.81 5.90482011050TexasHarris83.986.5 0.00 4.06 5.17 5.21 5.23 5.27 5.33 5.34 5.50 5.59482011015TexasHarris83.790.3482010024TexasHarris83.387.1 0.00 3.75 4.75 4.81 4.82 4.86 4.92 4.93 5.11 5.21090010017ConnecticutFairfield83.185 0.00 3.65 3.73 3.83 4.03 4.07 4.16 4.23 4.31 5.28090093002ConnecticutNew Haven82.985.4 0.00 4.18 4.25 4.34 4.53 4.56 4.63 4.71 4.77 5.54481130069TexasDallas82.985.8 0.00 4.00 5.29 5.34 5.36 5.40 5.51 5.52 5.54 5.60482011035TexasHarris8290.3420170012PennsylvaniaBucks81.885.6 0.00 3.38 3.45 3.61 3.77 3.78 3.89 3.94 4.02 6.12130890002GeorgiaDeKalb81.685.6 0.00 9.06 9.68 9.77 9.85 9.86 9.86 9.93 9.96 10.1090Table 3-11. Reduction in Ozone Concentration (ppb) at Downwind Monitors fromthe State Containing the Receptoras aFunction of Ozone Season EGU NOx Emission Reductions at Various Marginal Costsper Ton of Reduction in 2014 EstimatedUsing AQAT.Year 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014NOxMarginalCost per Ton$0 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000MonitorIdentificationNumberReceptorStateReceptorCounty2012 AverageDesign Value2012 MaximumDesign Value482010055TexasHarris95.797.9 0.00 2.82 3.50 3.54 3.55 3.58 3.65 3.66 3.66 3.67482010062TexasHarris90.593.7 0.00 2.55 3.16 3.20 3.21 3.24 3.30 3.31 3.31 3.32482011039TexasHarris90.593.9 0.00 2.52 3.12 3.16 3.17 3.20 3.26 3.27 3.27 3.28482010066TexasHarris89.993.5 0.00 2.21 2.75 2.78 2.79 2.82 2.87 2.88 2.88 2.89480391004TexasBrazoria88.891 0.00 2.79 3.46 3.51 3.51 3.55 3.62 3.62 3.62 3.64482010051TexasHarris88.493.1 0.00 2.60 3.23 3.27 3.28 3.31 3.37 3.38 3.38 3.39220330003LouisianaEast BatonRouge87.891.6 0.00 2.13 2.91 2.91 2.90 2.90 2.90 2.90 3.69 3.76361030002New YorkSuffolk86.387.2 0.00 1.24 1.26 1.27 1.34 1.34 1.35 1.40 1.40 1.41421010024PennsylvaniaPhiladelphia85.386 0.00 1.45 1.55 1.69 1.70 1.65 1.70 1.74 1.74 4.17361030009New YorkSuffolk85.185.8 0.00 1.09 1.10 1.12 1.18 1.18 1.18 1.22 1.22 1.24484391002TexasTarrant85.186.7 0.00 3.49 4.34 4.39 4.40 4.44 4.53 4.54 4.54 4.56090011123ConnecticutFairfield84.886.4 0.00 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59 0.59361192004New YorkWestchester84.786.9 0.00 1.78 1.80 1.82 1.92 1.92 1.93 2.00 2.00 2.02481130087TexasDallas84.685.6 0.00 3.20 3.97 4.02 4.03 4.06 4.14 4.15 4.15 4.17090013007ConnecticutFairfield84.586.4 0.00 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55 0.55131210055GeorgiaFulton84.486.5 0.00 8.24 8.74 8.80 8.86 8.86 8.85 8.91 8.91 8.97482010029TexasHarris84.485.6 0.00 2.69 3.34 3.38 3.39 3.42 3.49 3.49 3.49 3.51484392003TexasTarrant8485.2 0.00 3.36 4.17 4.22 4.23 4.27 4.36 4.37 4.36 4.38482011050TexasHarris83.986.5 0.00 2.59 3.22 3.26 3.26 3.29 3.36 3.36 3.36 3.38482011015TexasHarris83.790.3482010024TexasHarris83.387.1 0.00 2.38 2.96 3.00 3.01 3.03 3.09 3.10 3.10 3.11090010017ConnecticutFairfield83.185 0.00 0.21 0.21 0.21 0.21 0.21 0.21 0.21 0.21 0.21090093002ConnecticutNew Haven82.985.4 0.00 0.64 0.64 0.64 0.64 0.64 0.64 0.64 0.64 0.64481130069TexasDallas82.985.8 0.00 3.21 3.99 4.04 4.05 4.08 4.16 4.17 4.17 4.19482011035TexasHarris8290.3420170012PennsylvaniaBucks81.885.6 0.00 1.06 1.13 1.23 1.23 1.20 1.24 1.27 1.27 3.03130890002GeorgiaDeKalb81.685.6 0.00 7.96 8.45 8.50 8.56 8.56 8.56 8.62 8.61 8.6791Table 3-12. Reduction in Ozone Concentration (ppb) at Downwind Monitors fromthe States Upwind of the Receptoras aFunction of Ozone Season EGU NOx Emission Reductions at Various Marginal Costsper Ton of Reduction in 2014 EstimatedUsing AQAT.Year 2012 2014 2014 2014 2014 2014 2014 2014 2014 2014NOxMarginalCost per Ton$0 $0 $500 $1,000 $1,500 $2,000 $2,500 $3,000 $3,500 $5,000MonitorIdentificationNumberReceptorStateReceptorCounty2012 AverageDesign Value2012 MaximumDesign Value482010055TexasHarris95.797.9 0.00 1.97 2.49 2.50 2.52 2.53 2.53 2.54 2.69 2.82482010062TexasHarris90.593.7 0.00 2.02 2.68 2.71 2.73 2.74 2.74 2.76 2.94 3.10482011039TexasHarris90.593.9 0.00 1.89 2.48 2.49 2.50 2.51 2.51 2.52 2.70 2.84482010066TexasHarris89.993.5 0.00 1.95 2.50 2.50 2.51 2.52 2.52 2.53 2.70 2.83480391004TexasBrazoria88.891 0.00 1.64 2.26 2.26 2.27 2.28 2.28 2.29 2.42 2.52482010051TexasHarris88.493.1 0.00 1.82 2.30 2.31 2.33 2.34 2.34 2.34 2.48 2.61220330003LouisianaEast BatonRouge87.891.6 0.00 0.80 1.24 1.25 1.25 1.26 1.26 1.26 1.27 1.33361030002New YorkSuffolk86.387.2 0.00 2.47 2.53 2.63 2.77 2.80 2.89 2.92 3.00 4.04421010024PennsylvaniaPhiladelphia85.386 0.00 2.12 2.11 2.17 2.34 2.36 2.45 2.46 2.56 2.80361030009New YorkSuffolk85.185.8 0.00 2.54 2.58 2.67 2.76 2.79 2.86 2.88 2.94 3.92484391002TexasTarrant85.186.7 0.00 0.91 1.39 1.41 1.42 1.43 1.44 1.45 1.52 1.59090011123ConnecticutFairfield84.886.4 0.00 3.45 3.52 3.60 3.77 3.79 3.86 3.93 3.97 4.68361192004New YorkWestchester84.786.9 0.00 2.11 2.16 2.23 2.32 2.35 2.42 2.43 2.49 3.25481130087TexasDallas84.685.6 0.00 0.85 1.36 1.36 1.36 1.37 1.39 1.39 1.43 1.48090013007ConnecticutFairfield84.586.4 0.00 3.49 3.56 3.65 3.83 3.85 3.92 3.99 4.04 4.82131210055GeorgiaFulton84.486.5 0.00 1.13 1.27 1.32 1.33 1.35 1.35 1.37 1.41 1.49482010029TexasHarris84.485.6 0.00 1.21 1.59 1.67 1.67 1.68 1.68 1.70 1.86 1.95484392003TexasTarrant8485.2 0.00 0.96 1.38 1.38 1.38 1.39 1.40 1.41 1.45 1.52482011050TexasHarris83.986.5 0.00 1.47 1.96 1.96 1.97 1.97 1.98 1.98 2.14 2.21482011015TexasHarris83.790.3482010024TexasHarris83.387.1 0.00 1.37 1.78 1.81 1.82 1.83 1.83 1.84 2.01 2.11090010017ConnecticutFairfield83.185 0.00 3.44 3.52 3.62 3.82 3.85 3.95 4.01 4.10 5.06090093002ConnecticutNew Haven82.985.4 0.00 3.54 3.62 3.71 3.89 3.92 4.00 4.07 4.13 4.90481130069TexasDallas82.985.8 0.00 0.79 1.31 1.31 1.31 1.32 1.34 1.34 1.37 1.42482011035TexasHarris8290.3420170012PennsylvaniaBucks81.885.6 0.00 2.32 2.33 2.38 2.54 2.57 2.65 2.67 2.75 3.10130890002GeorgiaDeKalb81.685.6 0.00 1.10 1.23 1.27 1.29 1.30 1.30 1.31 1.35 1.43

# 92 Table 3-13. Estimated Number of Nonatta inment and/or Maintenance Monitor

Sites in 2014 for Annual PM2.5 (as a Function of SO 2 

# 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 Nonatta inment and/or Maintenance Monitor

Sites in 2014 for Daily PM2.5 (as a Function of SO 2 

# 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 Nonatta inment and/or Maintenance Monitor

Sites in 2014 for Ozone Season (as a Function of Ozone Season NO

x 

# 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 Tabl e 3-3 with non-zero marginal c ost

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).95Table 3-16. Average Air Quality Improvement (g/m3) as a Function of SO2Marginal Cost per Ton of Reductions (FromEGUs) in 2014 Estimated Using the AQAT for Daily PM2.5Referenced Either to the 2012 or2014 Base Case Values ($0/Ton).SO2Marginal Cost per Ton $0 $100 $200 $300 $400 $500$600 $800 $1,000 $1,200 $1,400 $1,600 $1,800 $2,000 $2,400ReferenceYearAll DailySites2012 Base1.3 5.0 5.7 6.0 6.3 6.4 6.6 6.7 6.9 7.0 7.1 7.3 7.5 7.7 8.12014 Base0.0 3.7 4.4 4.7 5.0 5.1 5.3 5.4 5.6 5.7 5.8 6.0 6.2 6.4 6.86 Sites* 2012 Base1.1 3.1 3.5 3.7 4.0 4.1 4.2 4.3 4.5 4.5 4.6 4.7 4.8 4.9 5.22014 Base0.0 2.0 2.4 2.6 2.9 3.0 3.1 3.3 3.4 3.4 3.5 3.6 3.7 3.9 4.12012 Base1.1 2.9 3.2 3.4 3.7 3.8 3.9 4.0 4.1 4.1 4.2 4.3 4.4 4.5 4.83 Sites** 2014 Base0.0 1.8 2.1 2.3 2.6 2.6 2.8 2.9 3.0 3.0 3.1 3.2 3.3 3.4 3.7*Monitor identification numbers 420030064, 420030093, 170311016, 261630016, 180890022, 245100040, located in Allegheny, PA (2 monitors); Cook, IL; Wayne, MI; Lake, IN; Baltimore (City),MD.**Monitor identification numbers 420030064, 180890022, 170311016 located in Allegheny, PA; Lake County, IN; and Cook, IL;.96Table 3-17. Using AQAT, the Estimated Annual PM2.5Average and Maximum Design Values (DV) in 2014 for Two Cases:When Emission Reductions at $500/Ton NOx and $2,000/Ton SO2Marginal Costs per Ton Emissions are Applied to StatesUpwind and When the Proposed Remedy is Applied.2012Base2012Base$500/TonNOxand$2,000/TonSO2$500/TonNOxand$2,000/TonSO2ProposedRemedyProposedRemedyMonitorIdentificationNumberReceptorStateReceptorCountyAvg.DVMax.DVAvg. DV Max. DV Avg. DV Max. DV420030064PennsylvaniaAllegheny18.9 19.31 14.96 15.37 14.86 15.27010730023AlabamaJefferson17.15 17.32 13.92 14.09 14.29 14.46390618001OhioHamilton16.93 17.27 12.50 12.84 12.43 12.77390610014OhioHamilton16.69 16.93 12.19 12.43 12.10 12.34261630033MichiganWayne16.57 17.19 13.86 14.48 13.79 14.41171191007IllinoisMadison16.56 16.85 13.57 13.86 13.48 13.77390610042OhioHamilton16.33 16.71 11.81 12.19 11.74 12.12390350038OhioCuyahoga16.26 16.95 12.64 13.33 12.51 13.20390350060OhioCuyahoga16.02 16.54 12.42 12.94 12.31 12.83131210039GeorgiaFulton16.01 16.04 12.89 12.92 12.95 12.98010732003AlabamaJefferson15.99 16.35 13.21 13.57 13.39 13.75180190006IndianaClark15.96 16.16 11.28 11.48 11.30 11.50180970081IndianaMarion15.93 16.24 11.48 11.79 11.46 11.77180970083IndianaMarion15.77 16.15 11.32 11.70 11.29 11.67390617001OhioHamilton15.65 16.03 11.17 11.55 11.08 11.46171630010IllinoisSaint Clair15.48 15.63 12.56 12.71 12.47 12.62390350045OhioCuyahoga15.42 15.91 11.74 12.23 11.63 12.12130210007GeorgiaBibb15.33 15.61 12.63 12.91 12.74 13.02540391005West VirginiaKanawha15.28 15.34 11.19 11.25 11.14 11.20390170016OhioButler15.25 15.61 10.99 11.35 10.91 11.27421330008PennsylvaniaYork15.25 15.93 12.00 12.68 11.85 12.53540110006West VirginiaCabell15.25 15.5 11.19 11.44 11.14 11.39420070014PennsylvaniaBeaver15.23 15.3 11.69 11.76 11.58 11.65211110043KentuckyJefferson15.19 15.41 10.40 10.62 10.43 10.65420710007PennsylvaniaLancaster15.18 16.01 11.97 12.80 11.83 12.66180970078IndianaMarion15.18 15.35 10.73 10.90 10.71 10.88170310052IllinoisCook15.16 15.42 12.84 13.10 12.71 12.97420031301PennsylvaniaAllegheny15.13 15.42 11.11 11.40 11.01 11.30130630091GeorgiaClayton15.07 15.29 12.02 12.24 12.11 12.33180372001IndianaDubois15.07 15.57 9.97 10.47 10.05 10.55261630015MichiganWayne15.05 15.55 12.43 12.93 12.36 12.86390610043OhioHamilton15.05 15.32 10.83 11.10 10.75 11.0297390610040OhioHamilton15.03 15.4 10.48 10.85 10.39 10.76391130032OhioMontgomery15.01 15.37 11.20 11.56 11.12 11.48391510017OhioStark14.99 15.4 11.15 11.56 11.10 11.51360610056New YorkNew York14.98 15.74 13.23 13.99 12.96 13.72390350065OhioCuyahoga14.96 15.4 11.35 11.79 11.23 11.67540030003West VirginiaBerkeley14.95 15.2 11.91 12.16 11.72 11.97540490006West VirginiaMarion14.96 15.18 10.41 10.63 10.33 10.55390811001OhioJefferson14.95 15.54 10.83 11.42 10.70 11.29540090005West VirginiaBrooke14.95 15.22 10.93 11.20 10.81 11.08211110044KentuckyJefferson14.93 15.09 10.25 10.41 10.28 10.44170316005IllinoisCook14.92 15.48 12.49 13.05 12.35 12.91482011035TexasHarris14.74 15.14 14.33 14.73 14.55 14.95170313301IllinoisCook14.73 15.06 12.29 12.62 12.15 12.48390350027OhioCuyahoga14.5 15.13 10.91 11.54 10.80 11.43540291004West VirginiaHancock14.34 15.15 10.41 11.22 10.27 11.0898Table 3-18. Using AQAT, the Estimated Daily PM2.5Average and Maximum Design Values (DV) in 2014 for Two Cases:When Emission Reductions at $500/Ton NOx and $2,000/Ton SO2Marginal Costs per Ton Emissions are Applied to StatesUpwind and When the Proposed Remedy is Applied.2012Base2012Base$500/TonNOxand$2000/TonSO2$500/TonNOxand$2000/TonSO2ProposedRemedyProposedRemedyMonitorIdentificationNumberReceptorStateReceptorCountyAvg.DVMax.DVAvg. DVMax. DVAvg. DVMax. DV420030064PennsylvaniaAllegheny58.8 62.3 50.06 53.56 49.72 53.22261630033MichiganWayne42.1 42.6 31.78 32.28 31.79 32.29390350038OhioCuyahoga41.2 44 27.56 30.36 27.43 30.23420030093PennsylvaniaAllegheny41.1 46.2 29.84 34.94 29.64 34.74170311016IllinoisCook41 44.1 32.54 35.64 32.36 35.46261630016MichiganWayne40.6 43 32.58 34.98 32.35 34.75180970043IndianaMarion40.5 42 22.84 24.34 22.92 24.42390170003OhioButler40.3 42.3 20.10 22.10 20.15 22.15180970066IndianaMarion40.3 41.8 22.45 23.95 22.61 24.11420210011PennsylvaniaCambria40.3 40.7 22.92 23.32 22.87 23.27180970081IndianaMarion40.1 41.1 23.35 24.35 23.40 24.40010730023AlabamaJefferson40 40.7 31.48 32.18 32.67 33.37171191007IllinoisMadison40 40.6 29.80 30.40 29.85 30.45540090011West VirginiaBrooke39.9 40.8 31.34 32.24 30.97 31.87390618001OhioHamilton39.6 40.3 25.69 26.39 25.86 26.56390350060OhioCuyahoga39.4 42.8 28.87 32.27 28.61 32.01171190023IllinoisMadison39.4 40.2 26.02 26.82 26.12 26.92180970083IndianaMarion39 39.3 20.69 20.99 20.84 21.14550790043WisconsinMilwaukee38.8 39.7 28.96 29.86 28.85 29.75180970078IndianaMarion38.7 39.7 21.13 22.13 21.20 22.20261630019MichiganWayne38.6 39.1 31.64 32.14 31.34 31.84170310052IllinoisCook38.5 39.7 30.63 31.83 30.42 31.62261630015MichiganWayne38.5 39.1 27.14 27.74 27.31 27.91390170017OhioButler38.5 38.5 21.85 21.85 21.89 21.89261470005MichiganSt. Clair38.4 39.4 30.55 31.55 30.43 31.43170313301IllinoisCook38.2 41 29.30 32.10 29.19 31.99340172002New JerseyHudson38.2 38.2 33.84 33.84 32.98 32.98180190006IndianaClark38.1 40.2 24.14 26.24 24.17 26.27261610008MichiganWashtenaw38.1 39.8 27.83 29.53 27.76 29.46010732003AlabamaJefferson38.1 38.9 31.94 32.74 32.69 33.4999170313103IllinoisCook38.1 38.7 31.12 31.72 30.75 31.35420031008PennsylvaniaAllegheny38 39.3 24.84 26.14 24.68 25.98390610006OhioHamilton38 38 20.83 20.83 20.99 20.99261250001MichiganOakland37.9 38.4 26.75 27.25 26.71 27.21390171004OhioButler37.8 38.6 21.28 22.08 21.34 22.14420710007PennsylvaniaLancaster37.7 40.1 31.64 34.04 31.13 33.53420070014PennsylvaniaBeaver37.7 39.1 27.62 29.02 27.20 28.60550790010WisconsinMilwaukee37.7 39 31.45 32.75 31.30 32.60390617001OhioHamilton37.7 38.1 21.38 21.78 21.40 21.80390610014OhioHamilton37.5 38.5 21.79 22.79 22.04 23.04390170016OhioButler37.5 37.8 21.18 21.48 21.16 21.46170316005IllinoisCook37.4 39.8 29.84 32.24 29.67 32.07180890022IndianaLake37.3 42.1 30.98 35.78 30.54 35.34180970079IndianaMarion37.2 38.3 19.73 20.83 19.85 20.95171192009IllinoisMadison37.2 38.2 24.56 25.56 24.60 25.60390610042OhioHamilton37.2 38 22.38 23.18 22.36 23.16360610056New YorkNew York37.1 38 32.45 33.35 31.67 32.57420030116PennsylvaniaAllegheny37.1 37.1 25.74 25.74 25.76 25.76261150005MichiganMonroe37 38 24.13 25.13 24.26 25.26210590005KentuckyDaviess37 37 18.33 18.33 18.25 18.25550790099WisconsinMilwaukee36.8 37.7 29.38 30.28 29.24 30.14191630019IowaScott36.8 36.8 22.92 22.92 23.06 23.06340390004New JerseyUnion36.7 37.2 30.80 31.30 30.58 31.08420031301PennsylvaniaAllegheny36.6 38.6 25.34 27.34 25.21 27.21471251009TennesseeMontgomery36.6 37.9 22.24 23.54 22.20 23.50390490024OhioFranklin36.6 37.6 24.63 25.63 24.62 25.62390811001OhioJefferson36.5 39.9 25.97 29.37 25.87 29.27390350065OhioCuyahoga36.5 38.9 25.20 27.60 25.07 27.47180372001IndianaDubois36.5 38 21.05 22.55 21.04 22.54171193007IllinoisMadison36.5 37.3 22.88 23.68 23.02 23.82295100087MissouriSt. LouisCity36.4 36.9 23.59 24.09 23.65 24.15550790026WisconsinMilwaukee36.3 40.1 30.00 33.80 29.85 33.65180890026IndianaLake36.3 39.3 28.44 31.44 28.30 31.30391130032OhioMontgomery36.3 38.5 18.88 21.08 18.91 21.11245100040MarylandBaltimore(City36.3 38.3 33.48 35.48 32.88 34.88170310076IllinoisCook36.3 37.3 26.26 27.26 26.18 27.18180970042IndianaMarion36.3 37.2 18.24 19.14 18.39 19.29261630036MichiganWayne36.3 36.9 26.84 27.44 26.80 27.40100360610128New YorkNew York36.2 38 28.68 30.48 28.36 30.16390490025OhioFranklin36.1 36.4 24.55 24.85 24.49 24.79390350045OhioCuyahoga36 39 24.22 27.22 24.16 27.16211110044KentuckyJefferson36 36.5 21.33 21.83 21.42 21.92390610043OhioHamilton36 36.4 19.33 19.73 19.33 19.73295100007MissouriSt. LouisCity36 36.3 21.39 21.69 21.66 21.96421330008PennsylvaniaYork35.9 38.8 25.24 28.14 25.14 28.04181570008IndianaTippecanoe35.9 36.9 21.82 22.82 21.74 22.74180830004IndianaKnox35.9 36.5 22.49 23.09 22.43 23.03420030008PennsylvaniaAllegheny35.9 36.3 26.80 27.20 26.63 27.03360050080New YorkBronx35.9 36.2 30.30 30.60 29.75 30.05390610040OhioHamilton35.8 36.8 19.65 20.65 19.65 20.65211110043KentuckyJefferson35.8 36.4 20.75 21.35 20.80 21.40420430401PennsylvaniaDauphin35.7 37.1 28.33 29.73 27.95 29.35170310057IllinoisCook35.7 37 27.81 29.11 27.65 28.95090091123ConnecticutNew Haven35.7 36.6 29.70 30.60 29.35 30.25290990012MissouriJefferson35.7 36.5 21.44 22.24 21.69 22.49340171003New JerseyHudson35.7 36.1 30.51 30.91 30.03 30.43170312001IllinoisCook35.6 38.2 26.33 28.93 26.22 28.82391530017OhioSummit35.6 37.2 23.94 25.54 23.77 25.37211110048KentuckyJefferson35.6 36.4 22.39 23.19 22.45 23.25291831002MissouriSaintCharles35.5 37.1 21.97 23.57 22.07 23.67245100049MarylandBaltimore(City)35.5 35.5 32.66 32.66 32.13 32.13261630001MichiganWayne35.4 37.8 24.02 26.42 23.84 26.24360610062New YorkNew York35.3 37 30.32 32.02 29.84 31.54420410101PennsylvaniaCumberland35.3 37 29.08 30.78 28.57 30.27390810017OhioJefferson35.3 36.8 24.67 26.17 24.67 26.17171630010IllinoisSaint Clair35.3 35.9 22.35 22.95 22.41 23.01295100085MissouriSt. LouisCity35.3 35.7 21.74 22.14 21.74 22.14181670023IndianaVigo35.1 36.5 20.98 22.38 21.02 22.42550250047WisconsinDane35.1 36.1 28.34 29.34 28.13 29.13471650007TennesseeSumner35.1 36 19.11 20.01 19.12 20.02171971002IllinoisWill35.1 35.8 26.22 26.92 26.24 26.94210290006KentuckyBullitt35 36.3 19.52 20.82 19.53 20.83170310022IllinoisCook34.9 36.6 27.28 28.98 27.07 28.77551330027WisconsinWaukesha34.9 35.6 27.86 28.56 27.72 28.42550790059WisconsinMilwaukee34.8 36.3 26.46 27.96 26.45 27.95101245100035MarylandBaltimore(City)34.7 35.5 32.10 32.90 31.53 32.33390350027OhioCuyahoga34.5 36.6 24.88 26.98 24.65 26.75191390015IowaMuscatine34.5 36 28.61 30.11 28.67 30.17211451004KentuckyMcCracken34.4 36.8 21.24 23.64 20.93 23.33420030095PennsylvaniaAllegheny34.3 36.6 24.56 26.86 24.15 26.45180431004IndianaFloyd34.3 35.7 18.97 20.37 19.08 20.48391130031OhioMontgomery34.3 35.6 21.54 22.84 21.49 22.79391351001OhioPreble34.3 35.5 18.17 19.37 18.21 19.41390950024OhioLucas34.2 36.5 25.44 27.74 25.36 27.66360610079New YorkNew York34.2 36.4 27.71 29.91 27.04 29.24390990014OhioMahoning34.2 35.8 25.13 26.73 24.92 26.52170310050IllinoisCook34.1 35.8 24.33 26.03 24.19 25.89110010041District OfColumbiaDistrict OfColumbia34 35.6 26.30 27.90 26.01 27.61540090005West VirginiaBrooke33.9 36.1 24.75 26.95 24.41 26.61391550007OhioTrumbull33.9 35.6 24.80 26.50 24.61 26.31421255001PennsylvaniaWashington33.9 35.5 21.77 23.37 21.57 23.17420033007PennsylvaniaAllegheny33.8 38.5 21.68 26.38 21.54 26.24240031003MarylandAnneArundel33.8 36.7 27.65 30.55 27.36 30.26180390003IndianaElkhart33.8 35.6 24.22 26.02 24.16 25.96212270007KentuckyWarren33.7 36.3 18.06 20.66 18.13 20.73390350034OhioCuyahoga33.7 35.7 24.07 26.07 23.74 25.74170314007IllinoisCook33.6 35.7 22.90 25.00 22.91 25.01390950026OhioLucas33.6 35.6 21.03 23.03 21.04 23.04110010042District OfColumbiaDistrict OfColumbia33 35.6 27.03 29.63 26.63 29.23102Table 3-19. Using AQAT, the Estimated Ozone Season Averageand Maximum Design Values (DV) in 2012 for Two Cases:When Emission Reductions at $500/Ton Marginal Cost per Ton NOx Emissions are Applied to States Upwind and When theProposed Remedy is Applied.2012Base2012Base$500/Ton $500/TonProposedRemedyProposedRemedyMonitorIdentificationNumberReceptorStateReceptorCountyAvg.DVMax.DVAvg. DV Max. DV Avg. DV Max. DV482010055TexasHarris95.7 97.9 94.41 96.61 94.17 96.37482010062TexasHarris90.5 93.7 89.15 92.35 88.93 92.13482011039TexasHarris90.5 93.9 89.22 92.62 88.98 92.38482010066TexasHarris89.9 93.5 88.76 92.36 88.57 92.17480391004TexasBrazoria88.8 91 87.44 89.64 87.25 89.45482010051TexasHarris88.4 93.1 87.21 91.91 86.98 91.68220330003LouisianaEast BatonRouge87.8 91.6 86.52 90.32 86.37 90.17361030002New YorkSuffolk86.3 87.2 86.27 87.17 86.13 87.03421010024PennsylvaniaPhiladelphia85.3 86 85.28 85.98 85.23 85.93361030009New YorkSuffolk85.1 85.8 85.09 85.79 84.93 85.63484391002TexasTarrant85.1 86.7 83.66 85.26 83.54 85.14090011123ConnecticutFairfield84.8 86.4 84.77 86.37 84.61 86.21361192004New YorkWestchester84.7 86.9 84.67 86.87 84.51 86.71481130087TexasDallas84.6 85.6 83.22 84.22 83.05 84.05090013007ConnecticutFairfield84.5 86.4 84.47 86.37 84.35 86.25131210055GeorgiaFulton84.4 86.5 83.71 85.81 83.40 85.50482010029TexasHarris84.4 85.6 83.27 84.47 83.19 84.39484392003TexasTarrant84 85.2 82.67 83.87 82.54 83.74482011050TexasHarris83.9 86.5 82.72 85.32 82.48 85.08482011015TexasHarris83.7 90.3482010024TexasHarris83.3 87.1 82.23 86.03 82.13 85.93090010017ConnecticutFairfield83.1 85 83.06 84.96 82.92 84.82090093002ConnecticutNew Haven82.9 85.4 82.87 85.37 82.75 85.25481130069TexasDallas82.9 85.8 81.52 84.42 81.38 84.28482011035TexasHarris82 90.3420170012PennsylvaniaBucks81.8 85.6 81.78 85.58 81.66 85.46130890002GeorgiaDeKalb81.6 85.6 80.93 84.93 80.64 84.64103Table 3-20. Using AQAT, the Estimated Ozone Season Averageand Maximum Design Values (DV) in 2014 for Two Cases:When Emission Reductions at $500/Ton Marginal Cost per Ton NOx Emissions are Applied to States Upwind and When theProposed Remedy is Applied.2012Base2012Base$500/Ton $500/TonProposedRemedyProposedRemedyMonitorIdentificationNumberReceptorStateReceptorCountyAvg.DVMax.DVAvg. DV Max. DV Avg. DV Max. DV482010055TexasHarris95.7 97.9 89.71 91.91 89.44 91.64482010062TexasHarris90.5 93.7 84.66 87.86 84.41 87.61482011039TexasHarris90.5 93.9 84.89 88.29 84.63 88.03482010066TexasHarris89.9 93.5 84.65 88.25 84.46 88.06480391004TexasBrazoria88.8 91 83.08 85.28 82.86 85.06482010051TexasHarris88.4 93.1 82.87 87.57 82.62 87.32220330003LouisianaEast BatonRouge87.8 91.6 83.65 87.45 83.51 87.31361030002New YorkSuffolk86.3 87.2 82.51 83.41 82.12 83.02421010024PennsylvaniaPhiladelphia85.3 86 81.64 82.34 81.22 81.92361030009New YorkSuffolk85.1 85.8 81.41 82.11 81.08 81.78484391002TexasTarrant85.1 86.7 79.38 80.98 79.20 80.80090011123ConnecticutFairfield84.8 86.4 80.70 82.30 80.38 81.98361192004New YorkWestchester84.7 86.9 80.74 82.94 80.42 82.62481130087TexasDallas84.6 85.6 79.28 80.28 79.05 80.05090013007ConnecticutFairfield84.5 86.4 80.39 82.29 80.11 82.01131210055GeorgiaFulton84.4 86.5 74.39 76.49 74.04 76.14482010029TexasHarris84.4 85.6 79.47 80.67 79.35 80.55484392003TexasTarrant84 85.2 78.45 79.65 78.28 79.48482011050TexasHarris83.9 86.5 78.73 81.33 78.47 81.07482011015TexasHarris83.7 90.3482010024TexasHarris83.3 87.1 78.55 82.35 78.44 82.24090010017ConnecticutFairfield83.1 85 79.37 81.27 79.00 80.90090093002ConnecticutNew Haven82.9 85.4 78.65 81.15 78.37 80.87481130069TexasDallas82.9 85.8 77.61 80.51 77.43 80.33482011035TexasHarris82 90.3420170012PennsylvaniaBucks81.8 85.6 78.35 82.15 77.93 81.73130890002GeorgiaDeKalb81.6 85.6 71.92 75.92 71.59 75.59

# 104 Table 4-1. Air Quality Estimates (  g/m 3 

# ) from the CAMx Modeling of the 2012 Base, 2014 Base, and

2014 Proposed Remedy Daily Standard PM 2.5 

# Design Values (DV) as well as Daily Standard PM 2.5 

# DV

Estimates (  g/m 3 

# ) 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 Ba se 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 -2.1105Table 4-2. Air Quality Estimates (g/m3) from the CAMx Modeling of the 2012 Base, 2014 Base, and 2014 Proposed RemedyDaily Standard PM2.5Design Values (DV) aswell as Daily Standard PM2.5DV Estimates (g/m3) from the Air QualityAssessment Tool (AQAT) for the 2014Base and 2014 Remedy for All Sites.CAMx CAMxAQAT AQATCAMx CAMxAQAT-CAMxAQAT -CAMxBase Base Base Control Base Control Base ControlMonitor Identification NumberReceptor StateReceptor County2012DV2012 MaxDV2014DV2014DV2014DV2014DV420030064PennsylvaniaAllegheny58.862.3 57.8 49.7 57.2 55.8 0.6 -6.1261630033MichiganWayne42.142.6 40.5 31.8 41.1 39.1 -0.6 -7.3390350038OhioCuyahoga41.244 39.4 27.4 40.0 35.7 -0.6 -8.3420030093PennsylvaniaAllegheny41.146.2 39.8 29.6 39.7 31.4 0.1 -1.8170311016IllinoisCook4144.1 38.1 32.4 39.4 37.7 -1.3 -5.3261630016MichiganWayne40.643 39.1 32.4 39.7 38.2 -0.6 -5.8180970043IndianaMarion40.542 38.7 22.9 38.8 33.2 -0.1 -10.3390170003OhioButler40.342.3 38.1 20.1 38.3 29.1 -0.2 -9.0180970066IndianaMarion40.341.8 38.4 22.6 38.7 31.9 -0.3 -9.3420210011PennsylvaniaCambria40.340.7 39.1 22.9 39.4 25.6 -0.3 -2.7180970081IndianaMarion40.141.1 38.5 23.4 38.7 30.9 -0.2 -7.5010730023AlabamaJefferson4040.7 38.7 32.7 38.8 35.6 -0.1 -2.9171191007IllinoisMadison4040.6 37.0 29.9 38.0 34.3 -1.0 -4.4540090011West VirginiaBrooke39.940.8 38.5 31.0 39.2 36.4 -0.7 -5.4390618001OhioHamilton39.640.3 38.0 25.9 38.2 31.0 -0.2 -5.1390350060OhioCuyahoga39.442.8 37.8 28.6 38.7 36.3 -0.9 -7.7171190023IllinoisMadison39.440.2 35.1 26.1 36.6 32.2 -1.5 -6.1180970083IndianaMarion3939.3 37.1 20.8 37.3 29.0 -0.2 -8.2550790043WisconsinMilwaukee38.839.7 35.7 28.8 37.3 36.3 -1.6 -7.5180970078IndianaMarion38.739.7 36.9 21.2 37.1 32.4 -0.2 -11.2261630019MichiganWayne38.639.1 37.3 31.3 37.7 37.0 -0.4 -5.7170310052IllinoisCook38.539.7 35.3 30.4 37.3 36.6 -2.0 -6.2261630015MichiganWayne38.539.1 36.9 27.3 37.1 34.0 -0.2 -6.7390170017OhioButler38.538.5 36.7 21.9 36.8 28.4 -0.1 -6.5261470005MichiganSt. Clair38.439.4 37.2 30.4 37.6 34.7 -0.4 -4.3170313301IllinoisCook38.241 34.7 29.2 36.8 34.9 -2.1 -5.7340172002New JerseyHudson38.238.2 37.5 33.0 37.5 36.6 0.0 -3.6180190006IndianaClark38.140.2 36.3 24.2 36.1 28.6 0.2 -4.4261610008MichiganWashtenaw38.139.8 36.5 27.8 37.0 35.6 -0.5 -7.8010732003AlabamaJefferson38.138.9 37.2 32.7 37.2 34.4 0.0 -1.7170313103IllinoisCook38.138.7 34.8 30.7 37.3 35.9 -2.5 -5.2420031008PennsylvaniaAllegheny3839.3 36.6 24.7 36.7 27.2 -0.1 -2.5390610006OhioHamilton3838 36.2 21.0 36.5 27.2 -0.3 -6.2261250001MichiganOakland37.938.4 36.3 26.7 36.9 35.1 -0.6 -8.4390171004OhioButler37.838.6 36.0 21.3 36.1 27.4 -0.1 -6.1420710007PennsylvaniaLancaster37.740.1 36.7 31.1 37.5 36.0 -0.8 -4.9420070014PennsylvaniaBeaver37.739.1 36.4 27.2 36.6 30.0 -0.2 -2.8550790010WisconsinMilwaukee37.739 35.0 31.3 37.0 36.3 -2.0 -5.0390617001OhioHamilton37.738.1 35.9 21.4 36.2 30.1 -0.3 -8.7390610014OhioHamilton37.538.5 35.9 22.0 36.1 25.4 -0.2 -3.4106390170016OhioButler37.537.8 35.7 21.2 35.7 27.9 0.0 -6.7170316005IllinoisCook37.439.8 34.1 29.7 36.5 35.6 -2.4 -5.9180890022IndianaLake37.342.1 35.3 30.5 36.4 35.3 -1.1 -4.8180970079IndianaMarion37.238.3 35.3 19.8 35.5 28.6 -0.2 -8.8171192009IllinoisMadison37.238.2 33.3 24.6 35.4 28.6 -2.1 -4.0390610042OhioHamilton37.238 35.6 22.4 35.9 29.3 -0.3 -6.9360610056New YorkNew York37.138 36.2 31.7 36.5 35.3 -0.3 -3.6420030116PennsylvaniaAllegheny37.137.1 35.8 25.8 35.5 28.6 0.3 -2.8261150005MichiganMonroe3738 35.3 24.3 35.6 31.2 -0.3 -6.9210590005KentuckyDaviess3737 35.1 18.2 34.9 21.7 0.2 -3.5550790099WisconsinMilwaukee36.837.7 34.0 29.2 35.5 33.3 -1.5 -4.1191630019IowaScott36.836.8 33.9 23.1 34.0 31.9 -0.1 -8.8340390004New JerseyUnion36.737.2 35.9 30.6 35.6 33.9 0.3 -3.3420031301PennsylvaniaAllegheny36.638.6 35.4 25.2 35.5 30.1 -0.1 -4.9471251009TennesseeMontgomery36.637.9 34.4 22.2 35.2 26.8 -0.8 -4.6390490024OhioFranklin36.637.6 35.0 24.6 35.2 32.3 -0.2 -7.7390811001OhioJefferson36.539.9 35.0 25.9 35.3 30.0 -0.3 -4.1390350065OhioCuyahoga36.538.9 34.9 25.1 35.4 30.2 -0.5 -5.1180372001IndianaDubois36.538 34.6 21.0 35.3 27.9 -0.7 -6.9171193007IllinoisMadison36.537.3 32.4 23.0 34.6 27.2 -2.2 -4.2295100087MissouriSt. Louis City36.436.9 32.5 23.6 33.7 30.8 -1.2 -7.2550790026WisconsinMilwaukee36.340.1 33.9 29.9 35.3 34.4 -1.4 -4.5180890026IndianaLake36.339.3 34.3 28.3 34.9 32.7 -0.6 -4.4391130032OhioMontgomery36.338.5 34.4 18.9 34.9 31.1 -0.5 -12.2245100040MarylandBaltimore (City)36.338.3 35.3 32.9 36.1 35.0 -0.8 -2.1170310076IllinoisCook36.337.3 32.7 26.2 34.8 32.3 -2.1 -6.1180970042IndianaMarion36.337.2 34.4 18.4 34.5 28.6 -0.1 -10.2261630036MichiganWayne36.336.9 34.7 26.8 35.5 34.4 -0.8 -7.6360610128New YorkNew York36.238 35.2 28.4 35.4 33.0 -0.2 -4.6390490025OhioFranklin36.136.4 34.5 24.5 34.8 30.6 -0.3 -6.1390350045OhioCuyahoga3639 34.3 24.2 35.0 29.4 -0.7 -5.2211110044KentuckyJefferson3636.5 34.3 21.4 34.3 27.6 0.0 -6.2390610043OhioHamilton3636.4 34.2 19.3 34.7 27.9 -0.5 -8.6295100007MissouriSt. Louis City3636.3 32.2 21.7 33.3 29.1 -1.1 -7.4421330008PennsylvaniaYork35.938.8 34.7 25.1 35.5 32.8 -0.8 -7.7181570008IndianaTippecanoe35.936.9 34.2 21.7 34.4 29.5 -0.2 -7.8180830004IndianaKnox35.936.5 34.2 22.4 34.8 28.8 -0.6 -6.4420030008PennsylvaniaAllegheny35.936.3 34.9 26.6 34.7 28.5 0.2 -1.9360050080New YorkBronx35.936.2 35.1 29.8 35.2 33.5 -0.1 -3.7390610040OhioHamilton35.836.8 34.0 19.7 34.3 24.9 -0.3 -5.2211110043KentuckyJefferson35.836.4 34.1 20.8 34.3 27.2 -0.2 -6.4420430401PennsylvaniaDauphin35.737.1 34.6 27.9 35.3 33.6 -0.7 -5.7170310057IllinoisCook35.737 32.3 27.6 34.4 31.2 -2.1 -3.6090091123ConnecticutNew Haven35.736.6 34.8 29.3 34.9 32.3 -0.1 -3.0290990012MissouriJefferson35.736.5 32.0 21.7 32.6 29.7 -0.6 -8.0340171003New JerseyHudson35.736.1 35.1 30.0 34.9 32.9 0.2 -2.9170312001IllinoisCook35.638.2 33.2 26.2 34.4 31.6 -1.2 -5.4391530017OhioSummit35.637.2 33.8 23.8 34.6 31.4 -0.8 -7.6211110048KentuckyJefferson35.636.4 34.1 22.5 34.0 26.3 0.1 -3.8291831002MissouriSaint Charles35.537.1 31.9 22.1 33.6 28.6 -1.7 -6.5107245100049MarylandBaltimore (City)35.535.5 34.5 32.1 35.3 34.3 -0.8 -2.2261630001MichiganWayne35.437.8 33.8 23.8 34.2 32.8 -0.4 -9.0360610062New YorkNew York35.337 34.3 29.8 34.6 33.2 -0.3 -3.4420410101PennsylvaniaCumberland35.337 34.4 28.6 35.0 33.0 -0.6 -4.4390810017OhioJefferson35.336.8 33.8 24.7 34.0 29.1 -0.2 -4.4171630010IllinoisSaint Clair35.335.9 31.3 22.4 32.8 29.4 -1.5 -7.0295100085MissouriSt. Louis City35.335.7 31.6 21.7 32.9 29.8 -1.3 -8.1181670023IndianaVigo35.136.5 32.9 21.0 33.7 30.8 -0.8 -9.8550250047WisconsinDane35.136.1 33.1 28.1 34.2 31.7 -1.1 -3.6471650007TennesseeSumner35.136 33.3 19.1 33.1 20.5 0.2 -1.4171971002IllinoisWill35.135.8 32.2 26.2 33.6 29.6 -1.4 -3.4210290006KentuckyBullitt3536.3 33.2 19.5 33.1 24.0 0.1 -4.5170310022IllinoisCook34.936.6 33.1 27.1 34.3 33.2 -1.2 -6.1551330027WisconsinWaukesha34.935.6 32.9 27.7 33.3 31.6 -0.4 -3.9550790059WisconsinMilwaukee34.836.3 32.0 26.4 33.5 31.6 -1.5 -5.2245100035MarylandBaltimore (City)34.735.5 33.8 31.5 34.5 33.4 -0.7 -1.9390350027OhioCuyahoga34.536.6 33.0 24.6 34.0 32.1 -1.0 -7.5191390015IowaMuscatine34.536 32.8 28.7 33.8 32.1 -1.0 -3.4211451004KentuckyMcCracken34.436.8 32.7 20.9 32.5 23.1 0.2 -2.2420030095PennsylvaniaAllegheny34.336.6 33.1 24.2 33.0 26.5 0.1 -2.3180431004IndianaFloyd34.335.7 32.6 19.1 32.7 23.8 -0.1 -4.7391130031OhioMontgomery34.335.6 32.8 21.5 33.1 29.8 -0.3 -8.3391351001OhioPreble34.335.5 32.5 18.2 33.2 26.5 -0.7 -8.3390950024OhioLucas34.236.5 32.7 25.4 33.5 32.0 -0.8 -6.6360610079New YorkNew York34.236.4 33.4 27.0 33.4 31.4 0.0 -4.4390990014OhioMahoning34.235.8 32.8 24.9 33.1 30.3 -0.3 -5.4170310050IllinoisCook34.135.8 31.3 24.2 32.3 30.3 -1.0 -6.1110010041District OfColumbiaDistrict OfColumbia3435.6 32.8 26.0 33.6 31.2 -0.8 -5.2540090005West VirginiaBrooke33.936.1 32.5 24.4 33.0 28.9 -0.5 -4.5391550007OhioTrumbull33.935.6 32.5 24.6 33.0 30.2 -0.5 -5.6421255001PennsylvaniaWashington33.935.5 32.2 21.6 32.7 26.0 -0.5 -4.4420033007PennsylvaniaAllegheny33.838.5 32.4 21.5 32.6 25.6 -0.2 -4.1240031003MarylandAnne Arundel33.836.7 32.5 27.4 34.4 32.9 -1.9 -5.5180390003IndianaElkhart33.835.6 32.1 24.2 32.7 29.0 -0.6 -4.8212270007KentuckyWarren33.736.3 31.5 18.1 31.6 21.6 -0.1 -3.5390350034OhioCuyahoga33.735.7 32.2 23.7 33.2 29.9 -1.0 -6.2170314007IllinoisCook33.635.7 29.8 22.9 32.2 30.4 -2.4 -7.5390950026OhioLucas33.635.6 31.9 21.0 32.6 30.2 -0.7 -9.2110010042District OfColumbiaDistrict OfColumbia3335.6 32.0 26.6 32.7 30.5 -0.7 -3.9108Table 4-3. Air Quality Estimates (g/m3) from the CAMx Modeling of the 2012 Base, 2014 Base, and 2014 Proposed RemedyDaily Standard PM2.5Maximum Design Values (Max DV) as well as Daily Standard PM2.5Max DV Estimates (g/m3) from theAir Quality Assessment Tool (AQAT) for the 2014 Base and 2014 Remedy for All Sites.CAMx CAMx AQAT AQAT CAMx CAMx AQAT -CAMxAQAT -CAMxBase Base Base Control Base Control Base ControlMonitorIdentificationNumberReceptor StateReceptor County2012 DV2012 MaxDV2014 MaxDV2014 MaxDV2014 MaxDV2014 MaxDV420030064PennsylvaniaAllegheny58.862.3 61.3 53.2 60.4 58.9 0.9 -5.7261630033MichiganWayne42.142.6 41.0 32.3 41.7 39.4 -0.7 -7.1390350038OhioCuyahoga41.244 42.2 30.2 42.6 38.2 -0.4 -8.0420030093PennsylvaniaAllegheny41.146.2 44.9 34.7 44.5 35.2 0.4 -0.5170311016IllinoisCook4144.1 41.2 35.5 42.5 41.2 -1.3 -5.7261630016MichiganWayne40.643 41.5 34.8 42.1 40.8 -0.6 -6.0180970043IndianaMarion40.542 40.2 24.4 40.3 34.4 -0.1 -10.0390170003OhioButler40.342.3 40.1 22.1 40.3 31.4 -0.2 -9.3180970066IndianaMarion40.341.8 39.9 24.1 40.0 33.1 -0.1 -9.0420210011PennsylvaniaCambria40.340.7 39.5 23.3 39.8 26.0 -0.3 -2.7180970081IndianaMarion40.141.1 39.5 24.4 39.7 31.0 -0.2 -6.6010730023AlabamaJefferson4040.7 39.4 33.4 39.6 36.8 -0.2 -3.4171191007IllinoisMadison4040.6 37.6 30.5 38.7 37.0 -1.1 -6.5540090011West VirginiaBrooke39.940.8 39.4 31.9 40.1 37.1 -0.7 -5.2390618001OhioHamilton39.640.3 38.7 26.6 39.0 32.3 -0.3 -5.7390350060OhioCuyahoga39.442.8 41.2 32.0 41.8 38.0 -0.6 -6.0171190023IllinoisMadison39.440.2 35.9 26.9 37.4 33.5 -1.5 -6.6180970083IndianaMarion3939.3 37.4 21.1 37.7 29.4 -0.3 -8.3550790043WisconsinMilwaukee38.839.7 36.6 29.7 38.4 37.7 -1.8 -8.0180970078IndianaMarion38.739.7 37.9 22.2 38.0 33.7 -0.1 -11.5261630019MichiganWayne38.639.1 37.8 31.8 38.3 37.5 -0.5 -5.7170310052IllinoisCook38.539.7 36.5 31.6 38.2 37.4 -1.7 -5.8261630015MichiganWayne38.539.1 37.5 27.9 37.6 34.7 -0.1 -6.8390170017OhioButler38.538.5 36.7 21.9 36.8 28.4 -0.1 -6.5261470005MichiganSt. Clair38.439.4 38.2 31.4 38.7 35.4 -0.5 -4.0170313301IllinoisCook38.241 37.5 32.0 39.7 37.3 -2.2 -5.3340172002New JerseyHudson38.238.2 37.5 33.0 37.5 36.6 0.0 -3.6180190006IndianaClark38.140.2 38.4 26.3 37.9 29.5 0.5 -3.2261610008MichiganWashtenaw38.139.8 38.2 29.5 38.7 36.2 -0.5 -6.7010732003AlabamaJefferson38.138.9 38.0 33.5 37.9 35.0 0.1 -1.5170313103IllinoisCook38.138.7 35.4 31.3 37.9 36.5 -2.5 -5.2420031008PennsylvaniaAllegheny3839.3 37.9 26.0 37.8 27.9 0.1 -1.9390610006OhioHamilton3838 36.2 21.0 36.5 27.2 -0.3 -6.2261250001MichiganOakland37.938.4 36.8 27.2 37.2 36.2 -0.4 -9.0390171004OhioButler37.838.6 36.8 22.1 37.0 28.3 -0.2 -6.2420710007PennsylvaniaLancaster37.740.1 39.1 33.5 39.7 38.2 -0.6 -4.7420070014PennsylvaniaBeaver37.739.1 37.8 28.6 38.0 30.8 -0.2 -2.2550790010WisconsinMilwaukee37.739 36.3 32.6 38.3 37.5 -2.0 -4.9390617001OhioHamilton37.738.1 36.3 21.8 36.6 31.9 -0.3 -10.1109390610014OhioHamilton37.538.5 36.9 23.0 37.1 27.1 -0.2 -4.1390170016OhioButler37.537.8 36.0 21.5 36.2 28.3 -0.2 -6.8170316005IllinoisCook37.439.8 36.5 32.1 39.1 38.2 -2.6 -6.1180890022IndianaLake37.342.1 40.1 35.3 41.1 39.8 -1.0 -4.5180970079IndianaMarion37.238.3 36.4 20.9 36.6 28.9 -0.2 -8.0171192009IllinoisMadison37.238.2 34.3 25.6 36.1 29.3 -1.8 -3.7390610042OhioHamilton37.238 36.4 23.2 36.7 30.0 -0.3 -6.8360610056New YorkNew York37.138 37.1 32.6 37.3 36.0 -0.2 -3.4420030116PennsylvaniaAllegheny37.137.1 35.8 25.8 35.5 28.6 0.3 -2.8261150005MichiganMonroe3738 36.3 25.3 36.3 31.6 0.0 -6.3210590005KentuckyDaviess3737 35.1 18.2 34.9 21.7 0.2 -3.5550790099WisconsinMilwaukee36.837.7 34.9 30.1 37.0 35.9 -2.1 -5.8191630019IowaScott36.836.8 33.9 23.1 34.0 31.9 -0.1 -8.8340390004New JerseyUnion36.737.2 36.4 31.1 36.2 34.8 0.2 -3.7420031301PennsylvaniaAllegheny36.638.6 37.4 27.2 37.4 31.0 0.0 -3.8471251009TennesseeMontgomery36.637.9 35.7 23.5 36.4 27.7 -0.7 -4.2390490024OhioFranklin36.637.6 36.0 25.6 36.5 33.9 -0.5 -8.3390811001OhioJefferson36.539.9 38.4 29.3 38.8 33.3 -0.4 -4.0390350065OhioCuyahoga36.538.9 37.3 27.5 38.1 33.9 -0.8 -6.4180372001IndianaDubois36.538 36.1 22.5 36.8 30.6 -0.7 -8.1171193007IllinoisMadison36.537.3 33.2 23.8 35.2 28.2 -2.0 -4.4295100087MissouriSt. Louis City36.436.9 33.0 24.1 34.1 31.3 -1.1 -7.2550790026WisconsinMilwaukee36.340.1 37.7 33.7 39.2 38.3 -1.5 -4.6180890026IndianaLake36.339.3 37.3 31.3 38.0 35.8 -0.7 -4.5391130032OhioMontgomery36.338.5 36.6 21.1 36.9 33.3 -0.3 -12.2245100040MarylandBaltimore (City36.338.3 37.3 34.9 38.0 36.8 -0.7 -1.9170310076IllinoisCook36.337.3 33.7 27.2 35.5 32.7 -1.8 -5.5180970042IndianaMarion36.337.2 35.3 19.3 35.4 30.4 -0.1 -11.1261630036MichiganWayne36.336.9 35.3 27.4 36.2 35.5 -0.9 -8.1360610128New YorkNew York36.238 37.0 30.2 37.0 33.1 0.0 -2.9390490025OhioFranklin36.136.4 34.8 24.8 35.2 32.6 -0.4 -7.8390350045OhioCuyahoga3639 37.3 27.2 38.2 33.2 -0.9 -6.0211110044KentuckyJefferson3636.5 34.8 21.9 34.7 28.5 0.1 -6.6390610043OhioHamilton3636.4 34.6 19.7 35.0 28.4 -0.4 -8.7295100007MissouriSt. Louis City3636.3 32.5 22.0 33.6 30.2 -1.1 -8.2421330008PennsylvaniaYork35.938.8 37.6 28.0 38.4 35.4 -0.8 -7.4181570008IndianaTippecanoe35.936.9 35.2 22.7 35.3 29.9 -0.1 -7.2180830004IndianaKnox35.936.5 34.8 23.0 35.1 30.5 -0.3 -7.5420030008PennsylvaniaAllegheny35.936.3 35.3 27.0 35.1 28.8 0.2 -1.8360050080New YorkBronx35.936.2 35.4 30.1 35.4 33.9 0.0 -3.8390610040OhioHamilton35.836.8 35.0 20.7 35.3 25.2 -0.3 -4.5211110043KentuckyJefferson35.836.4 34.7 21.4 34.8 29.4 -0.1 -8.0420430401PennsylvaniaDauphin35.737.1 36.0 29.3 36.8 35.1 -0.8 -5.8170310057IllinoisCook35.737 33.6 28.9 35.6 32.3 -2.0 -3.4090091123ConnecticutNew Haven35.736.6 35.7 30.2 35.8 32.7 -0.1 -2.5290990012MissouriJefferson35.736.5 32.8 22.5 33.6 30.2 -0.8 -7.7340171003New JerseyHudson35.736.1 35.5 30.4 35.3 33.9 0.2 -3.5170312001IllinoisCook35.638.2 35.8 28.8 37.1 34.5 -1.3 -5.7391530017OhioSummit35.637.2 35.4 25.4 36.4 34.2 -1.0 -8.8211110048KentuckyJefferson35.636.4 34.9 23.3 34.8 27.0 0.1 -3.7110291831002MissouriSaint Charles35.537.1 33.5 23.7 35.3 29.9 -1.8 -6.2245100049MarylandBaltimore (City)35.535.5 34.5 32.1 35.3 34.3 -0.8 -2.2261630001MichiganWayne35.437.8 36.2 26.2 36.3 34.9 -0.1 -8.7360610062New YorkNew York35.337 36.0 31.5 36.3 33.6 -0.3 -2.1420410101PennsylvaniaCumberland35.337 36.1 30.3 36.7 34.6 -0.6 -4.3390810017OhioJefferson35.336.8 35.3 26.2 35.5 30.5 -0.2 -4.3171630010IllinoisSaint Clair35.335.9 31.9 23.0 33.4 30.1 -1.5 -7.1295100085MissouriSt. Louis City35.335.7 32.0 22.1 33.3 30.4 -1.3 -8.3181670023IndianaVigo35.136.5 34.3 22.4 35.0 32.1 -0.7 -9.7550250047WisconsinDane35.136.1 34.1 29.1 35.3 32.9 -1.2 -3.8471650007TennesseeSumner35.136 34.2 20.0 34.0 22.5 0.2 -2.5171971002IllinoisWill35.135.8 32.9 26.9 34.4 31.1 -1.5 -4.2210290006KentuckyBullitt3536.3 34.5 20.8 34.2 24.6 0.3 -3.8170310022IllinoisCook34.936.6 34.8 28.8 36.0 35.0 -1.2 -6.2551330027WisconsinWaukesha34.935.6 33.6 28.4 33.9 31.8 -0.3 -3.4550790059WisconsinMilwaukee34.836.3 33.5 27.9 35.1 33.4 -1.6 -5.5245100035MarylandBaltimore (City)34.735.5 34.6 32.3 35.3 34.2 -0.7 -1.9390350027OhioCuyahoga34.536.6 35.1 26.7 36.2 35.0 -1.1 -8.3191390015IowaMuscatine34.536 34.3 30.2 35.4 33.2 -1.1 -3.0211451004KentuckyMcCracken34.436.8 35.1 23.3 34.8 23.6 0.3 -0.3420030095PennsylvaniaAllegheny34.336.6 35.4 26.5 35.2 29.1 0.2 -2.6180431004IndianaFloyd34.335.7 34.0 20.5 34.1 25.3 -0.1 -4.8391130031OhioMontgomery34.335.6 34.1 22.8 34.2 30.9 -0.1 -8.1391351001OhioPreble34.335.5 33.7 19.4 34.4 26.6 -0.7 -7.2390950024OhioLucas34.236.5 35.0 27.7 35.7 34.4 -0.7 -6.7360610079New YorkNew York34.236.4 35.6 29.2 35.4 33.3 0.2 -4.1390990014OhioMahoning34.235.8 34.4 26.5 34.6 31.9 -0.2 -5.4170310050IllinoisCook34.135.8 33.0 25.9 33.9 32.2 -0.9 -6.3110010041District Of ColumbiaDistrict Of Columbia3435.6 34.4 27.6 35.3 32.9 -0.9 -5.3540090005West VirginiaBrooke33.936.1 34.7 26.6 35.2 30.6 -0.5 -4.0391550007OhioTrumbull33.935.6 34.2 26.3 34.5 32.1 -0.3 -5.8421255001PennsylvaniaWashington33.935.5 33.8 23.2 34.1 27.0 -0.3 -3.8420033007PennsylvaniaAllegheny33.838.5 37.1 26.2 36.9 28.4 0.2 -2.2240031003MarylandAnne Arundel33.836.7 35.4 30.3 37.5 36.1 -2.1 -5.8180390003IndianaElkhart33.835.6 33.9 26.0 34.4 30.5 -0.5 -4.5212270007KentuckyWarren33.736.3 34.1 20.7 34.0 24.2 0.1 -3.5390350034OhioCuyahoga33.735.7 34.2 25.7 35.4 33.3 -1.2 -7.6170314007IllinoisCook33.635.7 31.9 25.0 34.0 32.9 -2.1 -7.9390950026OhioLucas33.635.6 33.9 23.0 34.5 32.3 -0.6 -9.3110010042District Of ColumbiaDistrict Of Columbia3335.6 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 cont ribution analysis. As di scussed in section B in

this TSD, each pollutant was analyzed separately with no policy assumed for the other two pollutants (e.g.,

the SO 2 

# runs do not include assumptions for NO X 

# controls beyond the NO X 

# 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 fo r 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 SO 2 

# cap-and-trade program;

NO X 

# 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 SO 2



# reduced on each of 37 stat es and the District of

Columbia starting in 2012.

TR_SO2_200 Imposes a marginal cost of $200 per ton of SO 2



# reduced on each of 37 stat es and the District of

Columbia starting in 2012.

TR_SO2_300 Imposes a marginal cost of $300 per ton of SO 2



# reduced on each of 37 stat es and the District of

Columbia starting in 2012.

TR_SO2_400 Imposes a marginal cost of $400 per ton of SO 2



# reduced on each of 37 stat es and the District of

Columbia starting in 2012.

TR_SO2_500 Imposes a marginal cost of $500 per ton of SO 2



# reduced on each of 37 stat es and the District of

Columbia starting in 2012.

TR_SO2_600 Imposes a marginal cost of $600 per ton of SO 2



# reduced on each of 37 stat es and the District of

Columbia starting in 2012.

TR_SO2_800 Imposes a marginal cost of $800 per ton of SO 2



# reduced on each of 37 stat es 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

SO 2 

# 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

SO 2 

# 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

SO 2 

# 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

SO 2 

# 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

SO 2 

# 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

SO 2 

# reduced on each of 37 states and the

District of Columbia.

TR_SO2_2400 Imposes a marginal cost of $2,400 per ton of

SO 2 

# reduced on each of 37 states and the

District of Columbia starting in 2012.

TR_NOX_OS_500 Imposes a margin al cost of $500 per ton of

NO X 

# reduced in the ozone season on each of 37

states and the District of Columbia starting in

2012.

TR_NOX_OS_1000 Imposes a margin al cost of $1,000 per ton of

NO X 

# reduced in the ozone season on each of 37

states and the District of Columbia starting in

2012.

TR_NOX_OS_1500 Imposes a margin al cost of $1,500 per ton of

NO X 

# reduced in the ozone season on each of 37

states and the District of Columbia starting in

2012.

TR_NOX_OS_2000 Imposes a margin al cost of $2,000 per ton of

NO X 

# reduced in the ozone season on each of 37

states and the District of Columbia starting in

2012.

TR_NOX_OS_2500 Imposes a margin al cost of $2,500 per ton of

NO X 

# 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 margin al cost of $3,000 per ton of

NO X 

# reduced in the ozone season on each of 37

states and the District of Columbia starting in

2012.

TR_NOX_OS_3500 Imposes a margin al cost of $3,500 per ton of

NO X 

# reduced in the ozone season on each of 37

states and the District of Columbia starting in

2012.

TR_NOX_OS_5000 Imposes a margin al cost of $5,000 per ton of

NO X 

# 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

NO X 

# reduced annually on each of 37 states and

the District of Colu mbia starting in 2012.

TR_NOX_750 Imposes a marginal cost of $750 per ton of

NO X 

# reduced annually on each of 37 states and

the District of Colu mbia starting in 2012.

TR_NOX_1000 Imposes a marginal cost of $1,000 per ton of

NO X 

# reduced annually on each of 37 states and

the District of Colu mbia starting in 2012.

TR_NOX_1250 Imposes a marginal cost of $1,250 per ton of

NO X 

# reduced annually on each of 37 states and

the District of Colu mbia starting in 2012.

TR_NOX_1500 Imposes a marginal cost of $1,500 per ton of

NO X 

# reduced annually on each of 37 states and

the District of Colu mbia starting in 2012.

TR_NOX_2500 Imposes a marginal cost of $2,500 per ton of

NO X 

# reduced annually on each of 37 states and

the District of Colu mbia starting in 2012.

* In addition to base case assumptions, these runs incl ude additional control options for units between 25 and

100 MW capacity. See IPM Docume ntation for more details.