Rule2023-02407

Air Plan Disapprovals; Interstate Transport of Air Pollution for the 2015 8-Hour Ozone National Ambient Air Quality Standards

Primary source

Metadata and text below are from the Federal Register, a public-domain U.S. government work. Always verify the official published version before relying on it for any legal matter.

Published
February 13, 2023
Effective
March 15, 2023

Issuing agencies

Environmental Protection Agency

Abstract

Pursuant to the Federal Clean Air Act (CAA or the Act), the Environmental Protection Agency (EPA or the Agency) is finalizing the disapproval of State Implementation Plan (SIP) submissions for 19 states regarding interstate transport and finalizing a partial approval and partial disapproval of elements of the SIP submission for two states for the 2015 8-hour ozone national ambient air quality standards (NAAQS). The "good neighbor" or "interstate transport" provision requires that each state's SIP contain adequate provisions to prohibit emissions from within the state from significantly contributing to nonattainment or interfering with maintenance of the NAAQS in other states. This requirement is part of the broader set of "infrastructure" requirements, which are designed to ensure that the structural components of each state's air quality management program are adequate to meet the state's responsibilities under the CAA. Disapproving a SIP submission establishes a 2-year deadline for the EPA to promulgate Federal Implementation Plans (FIPs) to address the relevant requirements, unless the EPA approves a subsequent SIP submission that meets these requirements. Disapproval does not start a mandatory sanctions clock. The EPA is deferring final action at this time on the disapprovals it proposed for Tennessee and Wyoming.

Full Text

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<title>Federal Register, Volume 88 Issue 29 (Monday, February 13, 2023)</title>
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[Federal Register Volume 88, Number 29 (Monday, February 13, 2023)]
[Rules and Regulations]
[Pages 9336-9384]
From the Federal Register Online via the Government Publishing Office [<a href="http://www.gpo.gov">www.gpo.gov</a>]
[FR Doc No: 2023-02407]



[[Page 9335]]

Vol. 88

Monday,

No. 29

February 13, 2023

Part II





 Environmental Protection Agency





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 40 CFR Part 52





Air Plan Disapprovals; Interstate Transport of Air Pollution for the 
2015 8-Hour Ozone National Ambient Air Quality Standards; Final Rule

Federal Register / Vol. 88 , No. 29 / Monday, February 13, 2023 / 
Rules and Regulations

[[Page 9336]]


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ENVIRONMENTAL PROTECTION AGENCY

40 CFR Part 52

[EPA-HQ-OAR-2021-0663; EPA-R02-OAR-2021-0673; EPA-R03-OAR-2021-0872; 
EPA-R03-OAR-2021-0873; EPA-R04-OAR-2021-0841; EPA-R05-OAR-2022-0006; 
EPA-R06-OAR-2021-0801; EPA-R07-OAR-2021-0851; EPA-R08-OAR-2022-0315; 
EPA-R09-OAR-2022-0394; EPA-R09-OAR-2022-0138; FRL-10209-01-OAR]


Air Plan Disapprovals; Interstate Transport of Air Pollution for 
the 2015 8-Hour Ozone National Ambient Air Quality Standards

AGENCY: Environmental Protection Agency (EPA).

ACTION: Final rule; final agency action.

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SUMMARY: Pursuant to the Federal Clean Air Act (CAA or the Act), the 
Environmental Protection Agency (EPA or the Agency) is finalizing the 
disapproval of State Implementation Plan (SIP) submissions for 19 
states regarding interstate transport and finalizing a partial approval 
and partial disapproval of elements of the SIP submission for two 
states for the 2015 8-hour ozone national ambient air quality standards 
(NAAQS). The ``good neighbor'' or ``interstate transport'' provision 
requires that each state's SIP contain adequate provisions to prohibit 
emissions from within the state from significantly contributing to 
nonattainment or interfering with maintenance of the NAAQS in other 
states. This requirement is part of the broader set of 
``infrastructure'' requirements, which are designed to ensure that the 
structural components of each state's air quality management program 
are adequate to meet the state's responsibilities under the CAA. 
Disapproving a SIP submission establishes a 2-year deadline for the EPA 
to promulgate Federal Implementation Plans (FIPs) to address the 
relevant requirements, unless the EPA approves a subsequent SIP 
submission that meets these requirements. Disapproval does not start a 
mandatory sanctions clock. The EPA is deferring final action at this 
time on the disapprovals it proposed for Tennessee and Wyoming.

DATES: The effective date of this final rule is March 15, 2023.

ADDRESSES: The EPA has established a docket for this action under 
Docket ID No. EPA-HQ-OAR-2021-0663. Additional supporting materials 
associated with this final action are included in certain regional 
dockets. See the memo ``Regional Dockets Containing Additional 
Supporting Materials for Final Action on 2015 Ozone NAAQS Good Neighbor 
SIP Submissions'' in the docket for this action. All documents in the 
dockets are listed on the <a href="https://www.regulations.gov">https://www.regulations.gov</a> website. Although 
listed in the index, some information is not publicly available, i.e., 
confidential business information (CBI) or other information whose 
disclosure is restricted by statute. Certain other material, such as 
copyrighted material, is not placed on the internet and will be 
publicly available only in hard copy form. Publicly available docket 
materials are available through <a href="https://www.regulations.gov">https://www.regulations.gov</a> or please 
contact the person identified in the FOR FURTHER INFORMATION CONTACT 
section for additional information.

FOR FURTHER INFORMATION CONTACT: General questions concerning this 
document should be addressed to Mr. Thomas Uher, Office of Air Quality 
Planning and Standards, Air Quality Policy Division, Mail Code C539-04, 
109 TW Alexander Drive, Research Triangle Park, NC 27711; telephone 
number: (919) 541-5534; email address: <a href="/cdn-cgi/l/email-protection#ff8a979a8dd18b9790929e8cbf9a8f9ed1989089"><span class="__cf_email__" data-cfemail="f88d909d8ad68c909795998bb89d8899d69f978e">[email&#160;protected]</span></a>.

SUPPLEMENTARY INFORMATION: Throughout this document ``we,'' ``us,'' and 
``our'' refer to the EPA.
    References to section numbers in roman numeral refer to sections of 
this preamble unless otherwise specified.

I. General Information

A. How can I get copies of this document and other related information?

    The EPA established a Headquarters docket for this action under 
Docket ID No. EPA-HQ-OAR-2021-0663 and several regional dockets. All 
documents in the docket are listed in the electronic indexes, which, 
along with publicly available documents, are available at <a href="https://www.regulations.gov">https://www.regulations.gov</a>. Publicly available docket materials are also 
available in hard copy at the Air and Radiation Docket and Information 
Center, EPA/DC, William Jefferson Clinton West Building, Room 3334, 
1301 Constitution Avenue NW, Washington, DC. Some information in the 
docket may not be publicly available via the online docket due to 
docket file size restrictions, such as certain modeling files, or 
content (e.g., CBI). For further information on the EPA Docket Center 
services and the current status, please visit us online at <a href="https://www.epa.gov/dockets">https://www.epa.gov/dockets</a>.
    The EPA also established dockets in each of the EPA Regional 
offices to help support the proposals that are now being finalized in 
this national action. These include all public comments, technical 
support materials, and other files associated with this final action. 
Each regional docket contains a memorandum directing the public to the 
headquarters docket for this final action. While all documents in 
regional dockets are listed in the electronic indexes at <a href="https://www.regulations.gov">https://www.regulations.gov</a>, some information may not be publicly available via 
the online dockets due to docket file size restrictions, such as 
certain modeling files, or content (e.g., CBI). Please contact the EPA 
Docket Center Services for further information.

B. How is the preamble organized?

Table of Contents

I. General Information
    A. How can I get copies of this document and other related 
information?
    B. How is the preamble organized?
    C. Where do I go if I have state-specific questions?
II. Background and Overview
    A. Description of Statutory Background
    B. Description of the EPA's 4-Step Interstate Transport 
Framework
    C. Background on the EPA's Ozone Transport Modeling Information
    D. The EPA's Approach to Evaluating Interstate Transport SIPs 
for the 2015 8-Hour Ozone NAAQS
III. The EPA's Updated Air Quality and Contribution Analysis
    A. Description of Air Quality Modeling for the Final Action
    B. Air Quality Modeling To Identify Nonattainment and 
Maintenance Receptors
    C. Air Quality Modeling To Quantify Upwind State Contributions
IV. Summary of Bases for Disapproval
    A. Alabama
    B. Arkansas
    C. California
    D. Illinois
    E. Indiana
    F. Kentucky
    G. Louisiana
    H. Maryland
    I. Michigan
    J. Minnesota
    K. Mississippi
    L. Missouri
    M. Nevada
    N. New Jersey
    O. New York
    P. Ohio
    Q. Oklahoma
    R. Texas
    S. Utah
    T. West Virginia
    U. Wisconsin
V. Response to Key Comments
    A. SIP Evaluation Process
    B. Application of the 4-Step Interstate Transport Framework
    C. Good Neighbor Provision Policy
VI. Statutory and Executive Orders Reviews
    A. Executive Orders 12866: Regulatory Planning and Executive 
Order 13563:

[[Page 9337]]

Improving Regulation and Regulatory Review
    B. Paperwork Reduction Act (PRA)
    C. Regulatory Flexibility Act (RFA)
    D. Unfunded Mandates Reform Act of 1995 (UMRA)
    E. Executive Order 13132: Federalism
    F. Executive Order 13175: Consultation and Coordination With 
Indian Tribal Governments
    G. Executive Order 13045: Protection of Children From 
Environmental Health and Safety Risks
    H. Executive Order 13211: Actions That Significantly Affect 
Energy Supply, Distribution or Use
    I. National Technology Transfer and Advancement Act (NTTAA)
    J. Executive Order 12898: Federal Actions To Address 
Environmental Justice in Minority Populations and Low-Income 
Populations
    K. Congressional Review Act (CRA)
    L. Judicial Review

C. Where do I go if I have state-specific questions?

    The following table identifies the states covered by this final 
action along with an EPA Regional office contact who can respond to 
questions about specific SIP submissions.

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                Regional offices                          States
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EPA Region 2: Kenneth Fradkin, Air and Radiation  New Jersey, New York.
 Division/Air Programs Branch, EPA Region 2, 290
 Broadway, 25th Floor, New York, NY 10007.
EPA Region 3: Mike Gordon, Planning and           Maryland, West
 Implementation Branch, EPA Region III, 1600 JFK   Virginia.
 Boulevard, Philadelphia, Pennsylvania 19103.
EPA Region 4: Evan Adams, Air and Radiation       Alabama, Kentucky,
 Division/Air Planning and Implementation          Mississippi.
 Branch, EPA Region IV, 61 Forsyth Street SW,
 Atlanta, Georgia 30303.
EPA Region 5: Olivia Davidson, Air & Radiation    Indiana, Illinois,
 Division/Air Programs Branch, EPA Region V, 77    Michigan, Minnesota,
 W. Jackson Boulevard, Chicago, Illinois 60604-    Ohio, Wisconsin.
 3511.
EPA Region 6: Sherry Fuerst, Air and Radiation    Arkansas, Louisiana,
 Division, EPA Region 6, 1201 Elm Street, Suite    Oklahoma, Texas.
 500, Dallas, Texas 75270.
EPA Region 7: William Stone, Air and Radiation    Missouri.
 Division, Air Quality Planning Branch, EPA
 Region VII, 11201 Renner Boulevard, Lenexa,
 Kansas 66219.
EPA Region 8: Adam Clark, Air and Radiation       Utah.
 Division, EPA, Region VIII, Mailcode 8ARD-IO,
 1595 Wynkoop Street, Denver, Colorado 80202.
EPA Region 9: Tom Kelly, Air and Radiation        California, Nevada.
 Division, EPA Region IX, 75 Hawthorne St., San
 Francisco, California 94105.
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II. Background and Overview

    The following provides background for the EPA's final action on 
these SIP submissions related to the interstate transport requirements 
for the 2015 8-hour ozone NAAQS (2015 ozone NAAQS).

A. Description of Statutory Background

    On October 1, 2015, the EPA promulgated a revision to the ozone 
NAAQS (2015 ozone NAAQS), lowering the level of both the primary and 
secondary standards to 0.070 parts per million (ppm) for the 8-hour 
standard.\1\ Section 110(a)(1) of the CAA requires states to submit, 
within 3 years after promulgation of a new or revised standard, SIP 
submissions \2\ meeting the applicable requirements of section 
110(a)(2).\3\ One of these applicable requirements is found in CAA 
section 110(a)(2)(D)(i)(I), otherwise known as the ``good neighbor'' or 
``interstate transport'' provision, which generally requires SIPs to 
contain adequate provisions to prohibit in-state emissions activities 
from having certain adverse air quality effects on other states due to 
interstate transport of pollution. There are two so-called ``prongs'' 
within CAA section 110(a)(2)(D)(i)(I). A SIP for a new or revised NAAQS 
must contain adequate provisions prohibiting any source or other type 
of emissions activity within the state from emitting air pollutants in 
amounts that will significantly contribute to nonattainment of the 
NAAQS in another state (prong 1) or interfere with maintenance of the 
NAAQS in another state (prong 2). The EPA and states must give 
independent significance to prong 1 and prong 2 when evaluating 
downwind air quality problems under CAA section 110(a)(2)(D)(i)(I).\4\
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    \1\ National Ambient Air Quality Standards for Ozone, Final 
Rule, 80 FR 65292 (October 26, 2015). Although the level of the 
standard is specified in the units of ppm, ozone concentrations are 
also described in parts per billion (ppb). For example, 0.070 ppm is 
equivalent to 70 ppb.
    \2\ The terms ``submission,'' ``revision,'' and ``submittal'' 
are used interchangeably in this document.
    \3\ SIP revisions that are intended to meet the applicable 
requirements of section 110(a)(1) and (2) of the CAA are often 
referred to as infrastructure SIPs and the applicable elements under 
CAA section 110(a)(2) are referred to as infrastructure 
requirements.
    \4\ See North Carolina v. EPA, 531 F.3d 896, 909-11 (D.C. Cir. 
2008) (North Carolina).
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    On February 22, 2022, the EPA proposed to disapprove 19 good 
neighbor SIP submissions from the States of Alabama, Arkansas, 
Illinois, Indiana, Kentucky, Louisiana, Maryland, Michigan, Minnesota, 
Mississippi, Missouri, New Jersey, New York, Ohio, Oklahoma, Tennessee, 
Texas, West Virginia, and Wisconsin.\5\ On May 24, 2022, the EPA 
proposed to disapprove four additional good neighbor SIP submissions 
from the States of California, Nevada, Utah, and Wyoming.\6\ On October 
25, 2022, the EPA proposed to disapprove a new good neighbor SIP 
submission from Alabama submitted on June 21, 2022.\7\ The EPA is 
deferring action on the proposals related to the good neighbor SIP 
submissions from Tennessee and Wyoming at this time. As explained in 
the notifications of proposed disapproval, the EPA's justification for 
each of these proposals applies uniform, nationwide analytical methods, 
policy judgments, and interpretation with respect to the same CAA 
obligations, i.e., implementation of good neighbor requirements under 
CAA section 110(a)(2)(D)(i)(I) for the 2015 ozone NAAQS for states 
across the country. The EPA's final action is likewise based on this 
common core of determinations. As indicated at proposal, the EPA is 
taking a consolidated, single final action

[[Page 9338]]

on the proposed SIP disapprovals.\8\ Included in this document is final 
action on 2015 ozone NAAQS interstate transport SIPs addressing CAA 
section 110(a)(2)(D)(i)(I) for Alabama, Arkansas, California, Illinois, 
Indiana, Kentucky, Louisiana, Maryland, Michigan, Minnesota, 
Mississippi, Missouri, Nevada, New Jersey, New York, Ohio, Oklahoma, 
Texas, Utah, West Virginia, and Wisconsin. The 2015 ozone NAAQS 
interstate transport SIP submissions addressing CAA section 
110(a)(2)(D)(i)(I) for Tennessee and Wyoming will be addressed in a 
separate action.
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    \5\ 87 FR 9545 (February 22, 2022) (Alabama, Mississippi, 
Tennessee); 87 FR 9798 (February 22, 2022) (Arkansas, Louisiana, 
Oklahoma, Texas); 87 FR 9838 (February 22, 2022) (Illinois, Indiana, 
Michigan, Minnesota, Ohio, Wisconsin); 87 FR 9498 (February 22, 
2022) (Kentucky); 87 FR 9484 (February 22, 2022) (New Jersey, New 
York); 87 FR 9463 (February 22, 2022) (Maryland); 87 FR 9533 
(February 22, 2022) (Missouri); 87 FR 9516 (February 22, 2022) (West 
Virginia).
    \6\ 87 FR 31443 (May 24, 2022) (California); 87 FR 31485 (May 
24, 2022) (Nevada); 87 FR 31470 (May 24, 2022) (Utah); 87 FR 31495 
(May 24, 2022) (Wyoming).
    \7\ 87 FR 64412 (October 25, 2022) (Alabama). Alabama withdrew 
its original good neighbor SIP submission on April 21, 2022. Id. at 
64419.
    \8\ In its proposals, the EPA stated ``The EPA may take a 
consolidated, single final action on all the proposed SIP 
disapproval actions with respect to obligations under CAA section 
110(a)(2)(D)(i)(I) for the 2015 ozone NAAQS. Should EPA take a 
single final action on all such disapprovals, this action would be 
nationally applicable, and the EPA would also anticipate, in the 
alternative, making and publishing a finding that such final action 
is based on a determination of nationwide scope or effect.'' E.g., 
87 FR 9463, 9475 n.51.
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B. Description of the EPA's 4-Step Interstate Transport Framework

    The EPA used a 4-step interstate transport framework (or 4-step 
framework) to evaluate each state's implementation plan submission 
addressing the interstate transport provision for the 2015 ozone NAAQS. 
The EPA has addressed the interstate transport requirements of CAA 
section 110(a)(2)(D)(i)(I) with respect to prior NAAQS in several 
regulatory actions, including the Cross-State Air Pollution Rule 
(CSAPR), which addressed interstate transport with respect to the 1997 
ozone NAAQS as well as the 1997 and 2006 fine particulate matter 
standards,\9\ the Cross-State Air Pollution Rule Update (CSAPR Update) 
\10\ and the Revised CSAPR Update, both of which addressed the 2008 
ozone NAAQS.\11\
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    \9\ See Federal Implementation Plans: Interstate Transport of 
Fine Particulate Matter and Ozone and Correction of SIP Approvals, 
76 FR 48208 (August 8, 2011).
    \10\ Cross-State Air Pollution Rule Update for the 2008 Ozone 
NAAQS, 81 FR 74504 (October 26, 2016).
    \11\ In 2019, the United States Court of Appeals for the 
District of Columbia Circuit (D.C. Circuit) remanded CSAPR Update to 
the extent it failed to require upwind states to eliminate their 
significant contribution by the next applicable attainment date by 
which downwind states must come into compliance with the NAAQS, as 
established under CAA section 181(a). Wisconsin v. EPA, 938 F.3d 
303, 313 (D.C. Cir. 2019) (Wisconsin). The Revised CSAPR Update for 
the 2008 Ozone NAAQS, 86 FR 23054 (April 30, 2021), responded to the 
remand of CSAPR Update in Wisconsin and the vacatur of a separate 
rule, the ``CSAPR Close-Out,'' 83 FR 65878 (December 21, 2018), in 
New York v. EPA, 781 F. App'x. 4 (D.C. Cir. 2019).
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    Shaped through the years by input from state air agencies \12\ and 
other stakeholders on EPA's prior interstate transport rulemakings and 
SIP actions,\13\ as well as a number of court decisions, the EPA has 
developed and used the following 4-step interstate transport framework 
to evaluate a state's obligations to eliminate interstate transport 
emissions under the interstate transport provision for the ozone NAAQS: 
(1) Identify monitoring sites that are projected to have problems 
attaining and/or maintaining the NAAQS (i.e., nonattainment and/or 
maintenance receptors); (2) identify states that impact those air 
quality problems in other (i.e., downwind) states sufficiently such 
that the states are considered ``linked'' and therefore warrant further 
review and analysis; (3) identify the emissions reductions necessary 
(if any), applying a multifactor analysis, to eliminate each linked 
upwind state's significant contribution to nonattainment or 
interference with maintenance of the NAAQS at the locations identified 
in Step 1; and (4) adopt permanent and enforceable measures needed to 
achieve those emissions reductions.
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    \12\ See 63 FR 57356, 57361 (October 27, 1998).
    \13\ In addition to CSAPR rulemakings, other regional 
rulemakings addressing ozone transport include the ``NO<INF>X</INF> 
SIP Call,'' 63 FR 57356 (October 27, 1998), and the ``Clean Air 
Interstate Rule'' (CAIR), 70 FR 25162 (May 12, 2005).
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    The general steps of this framework allow for some methodological 
variation, and this can be seen in the evolution of the EPA's 
analytical process across its prior rulemakings. This also means states 
have some flexibility in developing analytical methods within this 
framework (and may also attempt to justify an alternative framework 
altogether). The four steps of the framework simply provide a 
reasonable organization to the analysis of the complex air quality 
challenge of interstate ozone transport. As discussed further 
throughout this document, the EPA has organized its evaluation of the 
states' SIP submissions around this analytical framework (including the 
specific methodologies within each step as evolved over the course of 
the CSAPR rulemakings since 2011), but where states presented 
alternative approaches either to the EPA's methodological approaches 
within the framework, or organized their analysis in some manner that 
differed from it entirely, we have evaluated those analyses on their 
merits or, in some cases, identified why even if those approaches were 
acceptable, the state still does not have an approvable SIP submission 
as a whole.

C. Background on the EPA's Ozone Transport Modeling Information

    In general, the EPA has performed nationwide air quality modeling 
to project ozone design values, which are used in combination with 
measured data to identify nonattainment and maintenance receptors at 
Step 1. To quantify the contribution of emissions from specific upwind 
states on 2023 ozone design values for the identified downwind 
nonattainment and maintenance receptors at Step 2, the EPA performed 
nationwide, state-level ozone source apportionment modeling for 2023. 
The source apportionment modeling projected contributions to ozone at 
receptors from precursor emissions of anthropogenic nitrogen oxides 
(NO<INF>X</INF>) and volatile organic compounds (VOCs) in individual 
upwind states.
    The EPA has released several documents containing projected design 
values, contributions, and information relevant to air agencies for 
evaluating interstate transport with respect to the 2015 ozone NAAQS. 
First, on January 6, 2017, the EPA published a notice of data 
availability (NODA) in which the Agency requested comment on 
preliminary interstate ozone transport data including projected ozone 
design values and interstate contributions for 2023 using a 2011 base 
year platform.\14\ In the NODA, the EPA used the year 2023 as the 
analytic year for this preliminary modeling because that year aligns 
with the expected attainment year for Moderate ozone nonattainment 
areas for the 2015 ozone NAAQS.\15\ On October 27, 2017, the EPA 
released a memorandum (October 2017 memorandum) containing updated 
modeling data for 2023, which incorporated changes made in response to 
comments on the NODA, and was intended to provide information to assist 
states' efforts to develop SIP submissions to address interstate 
transport obligations for the 2008 ozone NAAQS.\16\ On March 27, 2018, 
the EPA issued a memorandum (March 2018 memorandum) noting that the 
same 2023 modeling data released in the

[[Page 9339]]

October 2017 memorandum could also be useful for identifying potential 
downwind air quality problems with respect to the 2015 ozone NAAQS at 
Step 1 of the 4-step interstate transport framework.\17\ The March 2018 
memorandum also included the then newly available contribution modeling 
data for 2023 to assist states in evaluating their impact on potential 
downwind air quality problems for the 2015 ozone NAAQS under Step 2 of 
the 4-step interstate transport framework.\18\ The EPA subsequently 
issued two more memoranda in August and October 2018, providing 
additional information to states developing interstate transport SIP 
submissions for the 2015 ozone NAAQS concerning, respectively, 
potential contribution thresholds that may be appropriate to apply in 
Step 2 of the 4-step interstate transport framework, and considerations 
for identifying downwind areas that may have problems maintaining the 
standard at Step 1 of the 4-step interstate transport framework.\19\
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    \14\ See Notice of Availability of the Environmental Protection 
Agency's Preliminary Interstate Ozone Transport Modeling Data for 
the 2015 8-hour Ozone National Ambient Air Quality Standard (NAAQS), 
82 FR 1733 (January 6, 2017).
    \15\ See 82 FR 1733, 1735 (January 6, 2017).
    \16\ See Information on the Interstate Transport State 
Implementation Plan Submissions for the 2008 Ozone National Ambient 
Air Quality Standards under Clean Air Act Section 
110(a)(2)(D)(i)(I), October 27, 2017 (``October 2017 memorandum''), 
available in Docket No. EPA-HQ-OAR-2021-0663 or at <a href="https://www.epa.gov/interstate-air-pollution-transport/interstate-air-pollution-transport-memos-and-notices">https://www.epa.gov/interstate-air-pollution-transport/interstate-air-pollution-transport-memos-and-notices</a>.
    \17\ See Information on the Interstate Transport State 
Implementation Plan Submissions for the 2015 Ozone National Ambient 
Air Quality Standards under Clean Air Act Section 
110(a)(2)(D)(i)(I), March 27, 2018 (``March 2018 memorandum''), 
available in Docket No. EPA-HQ-OAR-2021-0663 or at <a href="https://www.epa.gov/interstate-air-pollution-transport/interstate-air-pollution-transport-memos-and-notices">https://www.epa.gov/interstate-air-pollution-transport/interstate-air-pollution-transport-memos-and-notices</a>.
    \18\ The March 2018 memorandum, however, provided, ``While the 
information in this memorandum and the associated air quality 
analysis data could be used to inform the development of these SIPs, 
the information is not a final determination regarding states' 
obligations under the good neighbor provision. Any such 
determination would be made through notice-and-comment rulemaking.'' 
March 2018 memorandum at 2.
    \19\ See Analysis of Contribution Thresholds for Use in Clean 
Air Act Section 110(a)(2)(D)(i)(I) Interstate Transport State 
Implementation Plan Submissions for the 2015 Ozone National Ambient 
Air Quality Standards, August 31, 2018) (``August 2018 
memorandum''); Considerations for Identifying Maintenance Receptors 
for Use in Clean Air Act Section 110(a)(2)(D)(i)(I) Interstate 
Transport State Implementation Plan Submissions for the 2015 Ozone 
National Ambient Air Quality Standards, October 19, 2018 (``October 
2018 memorandum''), available in Docket No. EPA-HQ-OAR-2021-0663 or 
at <a href="https://www.epa.gov/airmarkets/memo-and-supplemental-information-regarding-interstate-transport-sips-2015-ozone-naaqs">https://www.epa.gov/airmarkets/memo-and-supplemental-information-regarding-interstate-transport-sips-2015-ozone-naaqs</a>.
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    Following the release of the modeling data shared in the March 2018 
memorandum, the EPA performed updated modeling using a 2016-based 
emissions modeling platform (i.e., 2016v1). This emissions platform was 
developed under the EPA/Multi-Jurisdictional Organization (MJO)/state 
collaborative project.\20\ This collaborative project was a multi-year 
joint effort by the EPA, MJOs, and states to develop a new, more recent 
emissions platform for use by the EPA and states in regulatory modeling 
as an improvement over the dated, 2011-based platform that the EPA had 
used to project ozone design values and contribution data provided in 
the 2017 and 2018 memoranda. The EPA used the 2016v1 emissions to 
project ozone design values and contributions for 2023. On October 30, 
2020, in the notice of proposed rulemaking for the Revised CSAPR 
Update, the EPA released and accepted public comment on 2023 modeling 
that used the 2016v1 emissions platform.\21\ Although the Revised CSAPR 
Update addressed transport for the 2008 ozone NAAQS, the projected 
design values and contributions from the 2016v1 platform were also 
useful for identifying downwind ozone problems and linkages with 
respect to the 2015 ozone NAAQS.\22\
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    \20\ The results of this modeling, as well as the underlying 
modeling files, are included in Docket No. EPA-HQ-OAR-2021-0663.
    \21\ See 85 FR 68964, 68981 (October 30, 2020).
    \22\ See the Air Quality Modeling Technical Support Document for 
the Final Revised Cross-State Air Pollution Rule Update, included in 
Docket No. EPA-HQ-OAR-2021-0663.
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    Following the final Revised CSAPR Update, the EPA made further 
updates to the 2016-based emissions platform to include updated onroad 
mobile emissions from Version 3 of the EPA's Motor Vehicle Emission 
Simulator (MOVES) model (MOVES3) \23\ and updated emissions projections 
for electric generating units (EGUs) that reflect the emissions 
reductions from the Revised CSAPR Update, recent information on plant 
closures, and other inventory improvements. The construct of the 
updated emissions platform, 2016v2, is described in the ``Technical 
Support Document (TSD): Preparation of Emissions Inventories for the 
2016v2 North American Emissions Modeling Platform,'' hereafter known as 
the 2016v2 Emissions Modeling TSD, and is included in Docket No. EPA-
HQ-OAR-2021-0663. The EPA performed air quality modeling using the 
2016v2 emissions to provide projections of ozone design values and 
contributions in 2023 that reflect the effects on air quality of the 
2016v2 emissions platform. The results of the 2016v2 modeling were used 
by the EPA as part of the Agency's evaluation of state SIP submissions 
with respect to Steps 1 and 2 of the 4-step interstate transport 
framework at the proposal stage of this action. By using the 2016v2 
modeling results, the EPA used the most current and technically 
appropriate information for the proposed rulemakings that were issued 
earlier in 2022.
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    \23\ 86 FR 1106. Additional details and documentation related to 
the MOVES3 model can be found at <a href="https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves">https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves</a>.
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    The EPA invited and received comments on the 2016v2 emissions 
inventories and modeling that were used to support proposals related to 
2015 ozone NAAQS interstate transport. (The EPA had earlier published 
the emissions inventories on its website in September of 2021 and 
invited initial feedback from states and other interested 
stakeholders.\24\) In response to these comments, the EPA made a number 
of updates to the 2016v2 inventories and model design to construct a 
2016v3 emissions platform which was used to update the air quality 
modeling. The EPA made additional updates to its modeling in response 
to comments as well. The EPA is now using this updated modeling to 
inform its final action on these SIP submissions. Details on the air 
quality modeling and the methods for projecting design values and 
determining contributions in 2023 are described in Section III and in 
the TSD titled ``Air Quality Modeling TSD for the 2015 8-hour ozone 
NAAQS Transport SIP Final Actions'', hereafter known as the Final 
Action AQM TSD.<SUP>25 26</SUP> Additional details related to the 
updated 2016v3 emissions platform are located in the TSD titled 
``Preparation of Emissions Inventories for the 2016v3 North American 
Emissions Modeling Platform,'' hereafter known as the 2016v3 Emissions 
Modeling TSD, included in Docket ID No. EPA-HQ-OAR-2021-0663.\27\
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    \24\ <a href="https://www.epa.gov/air-emissions-modeling/2016v2-platform">https://www.epa.gov/air-emissions-modeling/2016v2-platform</a>.
    \25\ See Final Action AQM TSD in Docket ID No. EPA-HQ-OAR-2021-
0663
    \26\ References to section numbers in roman numeral refer to 
sections of this preamble unless otherwise specified, and references 
to section numbers in numeric form refer to the Response to Comments 
document for this final action included in the docket.
    \27\ See 2016v3 Emissions Modeling TSD in Docket ID No. EPA-HQ-
OAR-2021-0663.
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D. The EPA's Approach To Evaluating Interstate Transport SIPs for the 
2015 Ozone NAAQS

    The EPA is applying a consistent set of policy judgments across all 
states for purposes of evaluating interstate transport obligations and 
the approvability of interstate transport SIP submissions for the 2015 
ozone NAAQS under CAA section 110(a)(2)(D)(i)(I). These policy 
judgments conform with relevant case law and past agency practice as 
reflected in CSAPR and related rulemakings. Employing a nationally 
consistent approach is

[[Page 9340]]

particularly important in the context of interstate ozone transport, 
which is a regional-scale pollution problem involving many smaller 
contributors. Effective policy solutions to the problem of interstate 
ozone transport going back to the NO<INF>X</INF> SIP Call have 
necessitated the application of a uniform framework of policy judgments 
to ensure an ``efficient and equitable'' approach. See EPA v. EME Homer 
City Generation, LP, 572 U.S. 489, 519 (2014) (EME Homer City). Some 
comments on EPA's proposed SIP disapprovals claim the EPA is imposing 
non-statutory requirements onto SIPs or that the EPA must allow states 
to take inconsistent approaches to implementing good neighbor 
requirements. Both views are incorrect; the EPA's use of its 
longstanding framework to evaluate these SIP submissions reflects a 
reasonable and consistent approach to implementing the requirements of 
CAA section 110(a)(2)(D)(i)(I), while remaining open to alternative 
approaches states may present. These comments are further addressed in 
Section V and the Response to Comment (RTC) document contained in the 
docket for this action, Docket ID No. EPA-HQ-OAR-2021-0663.
    In the March, August, and October 2018 memoranda, the EPA 
recognized that states may be able to establish alternative approaches 
to addressing their interstate transport obligations for the 2015 ozone 
NAAQS that vary from a nationally uniform framework. The EPA emphasized 
in these memoranda, however, that such alternative approaches must be 
technically justified and appropriate in light of the facts and 
circumstances of each particular state's submission.\28\ In general, 
the EPA continues to believe that deviation from a nationally 
consistent approach to ozone transport must be substantially justified 
and have a well-documented technical basis that is consistent with CAA 
obligations and relevant case law. Where states submitted SIP 
submissions that rely on any such potential concepts as the EPA or 
others may have identified or suggested in the past, the EPA evaluated 
whether the state adequately justified the technical and legal basis 
for doing so. For example, the EPA has considered the arguments put 
forward by Alabama, Missouri, Ohio, Oklahoma, Texas, and Utah related 
to alternative methods of identifying receptors.\29\ The EPA also has 
considered the arguments attempting to justify an alternative 
contribution threshold at Step 2 pursuant to the August 2018 memorandum 
made by Alabama, Arkansas, Illinois, Indiana, Kentucky, Louisiana, 
Michigan, Mississippi, Missouri, Oklahoma, and Utah,\30\ as well as 
criticisms of the 1 percent of the NAAQS contribution threshold made by 
Nevada and Ohio.\31\ These topics are further addressed in Section V.B 
as well as the RTC document.
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    \28\ March 2018 memorandum at 3 (``EPA also notes that, in 
developing their own rules, states have flexibility to follow the 
familiar four-step transport framework (using EPA's analytical 
approach or somewhat different analytical approaches within this 
steps) or alternative framework, so long as their chosen approach 
has adequate technical justification and is consistent with the 
requirements of the CAA.''); August 2018 memorandum at 1 (``The EPA 
and air agencies should consider whether the recommendations in this 
guidance are appropriate for each situation.''); October 2018 
memorandum at 1 (``Following the recommendations in this guidance 
does not ensure that EPA will approve a SIP revision in all 
instances where the recommendations are followed, as the guidance 
may not apply to the facts and circumstances underlying a particular 
SIP.'').
    \29\ 87 FR 64421-64422 (Alabama); 87 FR 9540-9541 (Missouri); 87 
FR 9869-9870 (Ohio); 87 FR 9820-9822 (Oklahoma); 87 FR 9826-9829 
(Texas); and 87 FR 31480-31481 (Utah).
    \30\ 87 FR 64423-64424 (Alabama); 87 FR 9806-9807 (Arkansas); 87 
FR 9852-9853 (Illinois); 87 FR 9855-9856 (Indiana); 87 FR 9509-9510 
(Kentucky); 87 FR 9815-9816 (Louisiana); 87 FR 9861-9862 (Michigan); 
87 FR 9557 (Mississippi); 87 FR 9541-9544 (Missouri); 87 FR 9819 
(Oklahoma); 87 FR 31478 (Utah).
    \31\ 87 FR 31492 (Nevada); 87 FR 9871 (Ohio).
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    The EPA notes that certain potential concepts included in an 
attachment to the March 2018 memorandum require unique consideration, 
and these ideas do not constitute agency guidance with respect to 
interstate transport obligations for the 2015 ozone NAAQS. Attachment A 
to the March 2018 memorandum identified a ``Preliminary List of 
Potential Flexibilities'' that could potentially inform SIP 
development. However, the EPA made clear in both the March 2018 
memorandum \32\ and in Attachment A that the list of ideas was not 
endorsed by the Agency but rather ``comments provided in various 
forums'' on which the EPA sought ``feedback from interested 
stakeholders.'' \33\ Further, Attachment A stated, ``EPA is not at this 
time making any determination that the ideas discussed below are 
consistent with the requirements of the CAA, nor are we specifically 
recommending that states use these approaches.'' \34\ Attachment A to 
the March 2018 memorandum, therefore, does not constitute agency 
guidance, but was intended to generate further discussion around 
potential approaches to addressing ozone transport among interested 
stakeholders. To the extent states sought to develop or rely on one or 
more of these ideas in support of their SIP submissions, the EPA 
reviewed their technical and legal justifications for doing so.\35\
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    \32\ ``In addition, the memorandum is accompanied by Attachment 
A, which provides a preliminary list of potential flexibilities in 
analytical approaches for developing a good neighbor SIP that may 
warrant further discussion between EPA and states.'' March 2018 
memorandum at 1.
    \33\ March 2018 memorandum, Attachment A at A-1.
    \34\ Id.
    \35\ E.g., 87 FR 64423-64425 (Alabama); 87 FR 31453-31454 
(California); 87 FR 9852-9854 (Illinois); 87 FR 9859-9860 (Indiana); 
87 FR 9508, 9515 (Kentucky); 87 FR 9861-9862 (Michigan); 87 FR 9869-
9870 (Ohio); 87 FR 9798, 9818-9820 (Oklahoma); 87 FR 31477-31481 
(Utah); 87 FR 9526-9527 (West Virginia).
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    The remainder of this section describes the EPA's analytical 
framework with respect to analytic year, definition of nonattainment 
and maintenance receptors, selection of contribution threshold, and 
multifactor control strategy assessment.
1. Selection of Analytic Year
    In general, the states and the EPA must implement the interstate 
transport provision in a manner ``consistent with the provisions of 
[title I of the CAA.]'' See CAA section 110(a)(2)(D)(i). This requires, 
among other things, that these obligations are addressed consistently 
with the timeframes for downwind areas to meet their CAA obligations. 
With respect to ozone NAAQS, under CAA section 181(a), this means 
obligations must be addressed ``as expeditiously as practicable'' and 
no later than the schedule of attainment dates provided in CAA section 
181(a)(1).\36\ Several D.C. Circuit court decisions address the issue 
of the relevant analytic year for the purposes of evaluating ozone 
transport air-quality problems. On September 13, 2019, the D.C. Circuit 
issued a decision in Wisconsin, remanding the CSAPR Update to the 
extent that it failed to require upwind states to eliminate their 
significant contribution by the next applicable attainment date by 
which downwind states must come into compliance with the NAAQS, as 
established under CAA section 181(a). See 938 F.3d 303, 313.
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    \36\ For attainment dates for the 2015 ozone NAAQS, refer to CAA 
section 181(a), 40 CFR 51.1303, and Additional Air Quality 
Designations for the 2015 Ozone National Ambient Air Quality 
Standards, 83 FR 25776 (June 4, 2018, effective August 3, 2018).
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    On May 19, 2020, the D.C. Circuit issued a decision in Maryland v. 
EPA that cited the Wisconsin decision in holding that the EPA must 
assess the impact of interstate transport on air quality at the next 
downwind attainment date, including Marginal area attainment dates, in 
evaluating the basis for the EPA's denial of a petition under CAA 
section 126(b) Maryland v.

[[Page 9341]]

EPA, 958 F.3d 1185, 1203-04 (D.C. Cir. 2020) (Maryland). The court 
noted that ``section 126(b) incorporates the Good Neighbor Provision,'' 
and, therefore, ``EPA must find a violation [of section 126] if an 
upwind source will significantly contribute to downwind nonattainment 
at the next downwind attainment deadline. Therefore, the agency must 
evaluate downwind air quality at that deadline, not at some later 
date.'' Id. at 1204 (emphasis added). The EPA interprets the court's 
holding in Maryland as requiring the states and the Agency, under the 
good neighbor provision, to assess downwind air quality as 
expeditiously as practicable and no later than the next applicable 
attainment date,\37\ which at the time of EPA's proposed and final 
actions on the SIPs addressed in this action is the Moderate area 
attainment date under CAA section 181 for ozone nonattainment. The 
Moderate area attainment date for the 2015 ozone NAAQS is August 3, 
2024.\38\ Thus, 2023 is now the appropriate year for analysis of 
interstate transport obligations for the 2015 ozone NAAQS, because the 
2023 ozone season is the last relevant ozone season during which 
achieved emissions reductions in linked upwind states could assist 
downwind states with meeting the August 3, 2024, Moderate area 
attainment date for the 2015 ozone NAAQS.
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    \37\ The EPA notes that the court in Maryland did not have 
occasion to evaluate circumstances in which the EPA may determine 
that an upwind linkage to a downwind air quality problem exists at 
Steps 1 and 2 of the interstate transport framework by a particular 
attainment date, but for reasons of impossibility or profound 
uncertainty the Agency is unable to mandate upwind pollution 
controls by that date. See Wisconsin, 938 F.3d at 320. The D.C. 
Circuit noted in Wisconsin that upon a sufficient showing, these 
circumstances may warrant flexibility in effectuating the purpose of 
the interstate transport provision.
    \38\ See CAA section 181(a); 40 CFR 51.1303; Additional Air 
Quality Designations for the 2015 Ozone National Ambient Air Quality 
Standards, 83 FR 25776 (June 4, 2018, effective August 3, 2018).
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    The EPA recognizes that the attainment date for nonattainment areas 
classified as Marginal for the 2015 ozone NAAQS was August 3, 2021. 
Under the Maryland holding, any necessary emissions reductions to 
satisfy interstate transport obligations should have been implemented 
by no later than this date. At the time of the statutory deadline to 
submit interstate transport SIPs (October 1, 2018), many states relied 
upon the EPA's modeling of the year 2023, and no state provided an 
alternative analysis using a 2021 analytic year (or the prior 2020 
ozone season). However, the EPA must act on SIP submissions using the 
information available at the time it takes such action, and it is now 
past 2021. In this circumstance, the EPA does not believe it would be 
appropriate to evaluate states' obligations under CAA section 
110(a)(2)(D)(i)(I) as of an attainment date that is wholly in the past, 
because the Agency interprets the interstate transport provision as 
forward looking. See 86 FR 23054, 23074; see also Wisconsin, 938 F.3d 
at 322 (rejecting Delaware's argument that the EPA should have used an 
analytic year of 2011 instead of 2017). Consequently, in this proposal 
the EPA will use the analytical year of 2023 to evaluate each state's 
CAA section 110(a)(2)(D)(i)(I) SIP submission with respect to the 2015 
ozone NAAQS.
2. Step 1 of the 4-Step Interstate Transport Framework
    In Step 1, the EPA identifies monitoring sites that are projected 
to have problems attaining and/or maintaining the NAAQS in the 2023 
analytic year. Where the EPA's analysis shows that a site does not fall 
under the definition of a nonattainment or maintenance receptor, that 
site is excluded from further analysis under the EPA's 4-step 
interstate transport framework. For sites that are identified as a 
nonattainment or maintenance receptor in 2023, the EPA proceeds to the 
next step of the 4-step interstate transport framework by identifying 
which upwind states contribute to those receptors above the 
contribution threshold.
    The EPA's approach to identifying ozone nonattainment and 
maintenance receptors in this action gives independent consideration to 
both the ``contribute significantly to nonattainment'' and the 
``interfere with maintenance'' prongs of CAA section 
110(a)(2)(D)(i)(I), consistent with the D.C. Circuit's direction in 
North Carolina.\39\
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    \39\ See North Carolina, 531 F.3d at 910-11 (holding that the 
EPA must give ``independent significance'' to each prong of CAA 
section 110(a)(2)(D)(i)(I)).
---------------------------------------------------------------------------

    The EPA identifies nonattainment receptors as those monitoring 
sites that are projected to have average design values that exceed the 
NAAQS and that are also measuring nonattainment based on the most 
recent monitored design values. This approach is consistent with prior 
transport rulemakings, such as the CSAPR Update, where the EPA defined 
nonattainment receptors as those areas that both currently measure 
nonattainment and that the EPA projects will be in nonattainment in the 
analytic year (i.e., 2023).\40\
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    \40\ See 81 FR 74504 (October 26, 2016). This same concept, 
relying on both current monitoring data and modeling to define 
nonattainment receptor, was also applied in CAIR. See 70 FR 25241, 
25249 (January 14, 2005); see also North Carolina, 531 F.3d at 913-
14 (affirming as reasonable the EPA's approach to defining 
nonattainment in CAIR).
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    In addition, the EPA identifies a receptor to be a ``maintenance'' 
receptor for purposes of defining interference with maintenance, 
consistent with the method used in CSAPR and upheld by the D.C. Circuit 
in EME Homer City Generation, L.P. v. EPA, 795 F.3d 118, 136 (D.C. Cir. 
2015) (EME Homer City II).\41\ Specifically, the EPA identified 
maintenance receptors as those receptors that would have difficulty 
maintaining the relevant NAAQS in a scenario that takes into account 
historical variability in air quality at that receptor. The variability 
in air quality was determined by evaluating the ``maximum'' future 
design value at each receptor based on a projection of the maximum 
measured design value over the relevant period. The EPA interprets the 
projected maximum future design value to be a potential future air 
quality outcome consistent with the meteorology that yielded maximum 
measured concentrations in the ambient data set analyzed for that 
receptor (i.e., ozone conducive meteorology). The EPA also recognizes 
that previously experienced meteorological conditions (e.g., dominant 
wind direction, temperatures, air mass patterns) promoting ozone 
formation that led to maximum concentrations in the measured data may 
reoccur in the future. The maximum design value gives a reasonable 
projection of future air quality at the receptor under a scenario in 
which such conditions do, in fact, reoccur. The projected maximum 
design value is used to identify upwind emissions that, under those 
circumstances, could interfere with the downwind area's ability to 
maintain the NAAQS.
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    \41\ See 76 FR 48208 (August 8, 2011). The CSAPR Update and 
Revised CSAPR Update also used this approach. See 81 FR 74504 
(October 26, 2016) and 86 FR 23054 (April 30, 2021).
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    Recognizing that nonattainment receptors are also, by definition, 
maintenance receptors, the EPA often uses the term ``maintenance-only'' 
to refer to those receptors that are not nonattainment receptors. 
Consistent with the concepts for maintenance receptors, as described 
earlier, the EPA identifies ``maintenance-only'' receptors as those 
monitoring sites that have projected average design values above the 
level of the applicable NAAQS, but that are not currently measuring 
nonattainment based on the most recent official design values. In 
addition, those

[[Page 9342]]

monitoring sites with projected average design values below the NAAQS, 
but with projected maximum design values above the NAAQS are also 
identified as ``maintenance-only'' receptors, even if they are 
currently measuring nonattainment based on the most recent official 
design values.
    As discussed further in Section III.B., in response to comments, 
the Agency has also taken a closer look at measured ozone levels at 
monitoring sites in 2021 and 2022 for the purposes of informing the 
identification of additional receptors in 2023. We find there is a 
basis to consider certain sites with elevated ozone levels that are not 
otherwise identified as receptors to be an additional type of 
maintenance-only receptor given the likelihood that ozone levels above 
the NAAQS could persist at those locations through at least 2023. We 
refer to these as violating-monitor maintenance-only receptors 
(``violating monitors''). For purposes of this action, we use this 
information only in a confirmatory way for states that are otherwise 
found to be linked using the modeling-based methodology. The EPA 
intends to take separate action to address states that are linked only 
to one or more violating-monitor receptors.
3. Step 2 of the 4-Step Interstate Transport Framework
    In Step 2, the EPA quantifies the contribution of each upwind state 
to each receptor in the 2023 analytic year. The contribution metric 
used in Step 2 is defined as the average impact from each state to each 
receptor on the days with the highest ozone concentrations at the 
receptor based on the 2023 modeling. If a state's contribution value 
does not equal or exceed the threshold of 1 percent of the NAAQS (i.e., 
0.70 ppb for the 2015 ozone NAAQS), the upwind state is not ``linked'' 
to a downwind air quality problem, and the EPA, therefore, concludes 
that the state does not contribute significantly to nonattainment or 
interfere with maintenance of the NAAQS in the downwind states. 
However, if a state's contribution equals or exceeds the 1 percent 
threshold, the state's emissions are further evaluated in Step 3, 
considering both air quality and cost as part of a multi-factor 
analysis, to determine what, if any, emissions might be deemed 
``significant'' and, thus, must be eliminated pursuant to the 
requirements of CAA section 110(a)(2)(D)(i)(I).
    In this final action, the EPA relies in the first instance on the 1 
percent threshold for the purpose of evaluating a state's contribution 
to nonattainment or maintenance of the 2015 ozone NAAQS (i.e., 0.70 
ppb) at downwind receptors. This is consistent with the Step 2 approach 
that the EPA applied in CSAPR for the 1997 ozone NAAQS, which has 
subsequently been applied in the CSAPR Update and Revised CSAPR Update 
when evaluating interstate transport obligations for the 2008 ozone 
NAAQS, and in the EPA's proposals for this action. The EPA continues to 
find 1 percent to be an appropriate threshold. For ozone, as the EPA 
found in the CAIR, CSAPR, and CSAPR Update, a portion of the 
nonattainment problems from anthropogenic sources in the U.S. result 
from the combined impact of relatively small contributions, typically 
from multiple upwind states and, in some cases, substantially larger 
contributions from a subset of particular upwind states, along with 
contributions from in-state sources. The EPA's analysis shows that much 
of the ozone transport problem being analyzed in this action is still 
the result of the collective impacts of contributions from upwind 
states. Therefore, application of a consistent contribution threshold 
is necessary to identify those upwind states that should have 
responsibility for addressing their contribution to the downwind 
nonattainment and maintenance problems to which they collectively 
contribute. Continuing to use 1 percent of the NAAQS as the screening 
metric to evaluate collective contribution from many upwind states also 
allows the EPA (and states) to apply a consistent framework to evaluate 
interstate emissions transport under the interstate transport provision 
from one NAAQS to the next. See 81 FR 74518; see also 86 FR 23085 
(reviewing and explaining rationale from CSAPR, 76 FR 48237-38, for 
selection of 1 percent threshold).
    The EPA's August 2018 memorandum recognizes that in certain 
circumstances, a state may be able to establish that an alternative 
contribution threshold of 1 ppb is justifiable. Where a state relies on 
this alternative threshold in their SIP submission, and where that 
state determined that it was not linked at Step 2 using the alternative 
threshold, the EPA evaluated whether the state provided a technically 
sound assessment of the appropriateness of using this alternative 
threshold based on the facts and circumstances underlying its 
application in the particular SIP submission. The states covered by 
this action that rely on a contribution threshold other than 1 percent 
of the NAAQS in their 2015 ozone NAAQS good neighbor SIP submission are 
Alabama, Arkansas, Illinois, Indiana, Kentucky, Louisiana, Michigan, 
Mississippi, Missouri, Oklahoma, and Utah. Ohio also criticized the 1 
percent of the NAAQS threshold, though it acknowledged it was linked 
above either a 1 percent of the NAAQS or 1 ppb contribution threshold. 
Nevada also criticized the 1 percent of the NAAQS contribution 
threshold, but ultimately relied on it to support its submission.
    In the proposals for this action, the EPA evaluated each states' 
support for the use of an alternative threshold at Step 2 (e.g., 1 
ppb), and additionally shared its experience since the issuance of the 
August 2018 memorandum regarding use of alternative thresholds at Step 
2. The EPA solicited comment on the subject as it considered the 
appropriateness of rescinding the memorandum.\42\ The EPA received 
numerous comments related to both the EPA's evaluation of SIP 
submissions relying on an alternative threshold, and the EPA's 
experience with alternative thresholds. The EPA is not, at this time 
rescinding the August 2018 memorandum; however, for purposes of 
evaluating contribution thresholds for the 2015 ozone NAAQS, the EPA 
continues to find the use of an alternative threshold problematic for 
the reasons stated at proposal. Regardless of the EPA's position on the 
August 2018 memorandum, the EPA continues to find that the arguments 
put forth in the SIP submissions of by Alabama, Arkansas, Illinois, 
Indiana, Kentucky, Louisiana, Michigan, Mississippi, Missouri, 
Oklahoma, and Utah, as well as arguments in comments received on these 
actions, to be inadequate. See Section V.B.7 and the RTC Document for 
additional detail.
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    \42\ See, e.g., 87 FR 9551.
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4. Step 3 of the 4-Step Interstate Transport Framework
    Consistent with the EPA's longstanding approach to eliminating 
significant contribution and interference with maintenance, at Step 3, 
a multifactor assessment of potential emissions controls is conducted 
for states linked at Steps 1 and 2. The EPA's analysis at Step 3 in 
prior Federal actions addressing interstate transport requirements has 
primarily focused on an evaluation of cost-effectiveness of potential 
emissions controls (on a marginal cost-per-ton basis), the total 
emissions reductions that may be achieved by requiring such controls 
(if applied across all linked upwind states), and an evaluation of the 
air quality impacts such emissions reductions would have on the 
downwind receptors to which a state is linked; other factors may 
potentially be relevant if

[[Page 9343]]

adequately supported. In general, where the EPA's or state-provided 
alternative air quality and contribution modeling establishes that a 
state is linked at Steps 1 and 2, it will be insufficient at Step 3 for 
a state merely to point to its existing rules requiring control 
measures as a basis for SIP approval. In general, the emissions-
reducing effects of all existing emissions control requirements are 
already reflected in the future year projected air quality results of 
the modeling for Steps 1 and 2. If the state is shown to still be 
linked to one or more downwind receptor(s) despite these existing 
controls, but that state believes it has no outstanding good neighbor 
obligations, the EPA expects the state to provide sufficient 
justification to support a conclusion by the EPA that the state has 
adequate provisions prohibiting ``any source or other type of emissions 
activity within the State from emitting any air pollutant in amounts 
which will'' ``contribute significantly to nonattainment in, or 
interfere with maintenance by,'' any other State with respect to the 
NAAQS. See CAA section 110(a)(2)(D)(i)(I). While the EPA has not 
prescribed a particular method for this assessment, as many commenters 
note, the EPA expects states at a minimum to present a sufficient 
technical evaluation. This would typically include information on 
emissions sources, applicable control technologies, emissions 
reductions, costs, cost effectiveness, and downwind air quality impacts 
of the estimated reductions, before concluding that no additional 
emissions controls should be required.\43\ The EPA responds to comment 
on issues related to Step 3 in Section V.B.8. and in the RTC document.
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    \43\ Because no state included new enforceable emissions control 
measures in the submissions under review here, we focus our analysis 
on whether states justified that no additional controls were 
required. As examples of general approaches for how a Step 3 
analysis could be conducted for their sources, states could look to 
the CSAPR Update, 81 FR 74504, 74539-51; CSAPR, 76 FR 48208, 48246-
63; CAIR, 70 FR 25162, 25195-229; or the NO<INF>X</INF> SIP Call, 63 
FR 57356, 57399-405. See also Revised CSAPR Update, 86 FR 23054, 
23086-23116. Consistently across these rulemakings, the EPA has 
developed emissions inventories, analyzed different levels of 
control stringency at different cost thresholds, and assessed 
resulting downwind air quality improvements.
---------------------------------------------------------------------------

5. Step 4 of the 4-Step Interstate Transport Framework
    At Step 4, states (or the EPA) develop permanent and federally-
enforceable control strategies to achieve the emissions reductions 
determined to be necessary at Step 3 to eliminate significant 
contribution to nonattainment or interference with maintenance of the 
NAAQS.\44\ For a state linked at Steps 1 and 2 to rely on an emissions 
control measure at Step 3 to address its interstate transport 
obligations, that measure must be included in the state's SIP so that 
it is permanent and federally enforceable. See CAA section 110(a)(2)(D) 
(``Each such [SIP] shall . . . contain adequate provisions. . . .''). 
See also CAA section 110(a)(2)(A); Committee for a Better Arvin v. EPA, 
786 F.3d 1169, 1175-76 (9th Cir. 2015) (holding that measures relied on 
by a state to meet CAA requirements must be included in the SIP).
---------------------------------------------------------------------------

    \44\ The EPA notes that any controls included in an approved SIP 
are federally-enforceable.
---------------------------------------------------------------------------

III. The EPA's Updated Air Quality and Contribution Analysis

    As noted in Section II, the EPA relied in part on its 2016v2 
emissions platform-based air quality modeling to support its proposed 
interstate transport actions taken in 2022. Following receipt of 
comments, the EPA updated this modeling, incorporating new information 
received to create the 2016v3 emissions inventory and making additional 
updates to improve model performance. Using the 2016v3 emissions 
inventory, the EPA evaluated modeling projections for air quality 
monitoring sites and considered current ozone monitoring data at these 
sites to identify receptors that are anticipated to have problems 
attaining or maintaining the 2015 ozone NAAQS.
    This section presents a summary of the methodology and results of 
the 2016v3 modeling of 2023, along with the application of the EPA's 
Step 1 and Step 2 methodology for identifying receptors and upwind 
states that contribute to those receptors. We also explain that current 
measured ozone levels based on data for 2021 and preliminary data for 
2022 at other monitoring sites (i.e., monitoring sites that are not 
projected to be receptors in 2023 based on air quality modeling) 
confirm the likely continuation of elevated ozone levels in 2023 at 
these locations and confirm that nearly all upwind states in this 
action are also linked above 1 percent of the NAAQS to one or more of 
these monitors.
    While all of this information compiled by the EPA (both the 
modeling and monitoring data) plays a critical role in the basis for 
this final action, the EPA has also thoroughly evaluated the modeling 
information and other analyses and arguments presented by the upwind 
states in their SIP submittals. Our evaluation of the states' analyses 
was generally set forth in the proposals, and the EPA in this final 
action has responded to comments on our evaluation of the various 
information and arguments made by states. The EPA's final decision to 
disapprove these states' SIP submittals is based on our evaluation of 
the entire record, recognizing that states possess the authority in the 
first instance to propose how they would address their significant 
contribution to air quality problems in other states. Nonetheless, as 
explained in the proposals, and in this document and supporting 
materials in the docket, we conclude that no state included in this 
action effectively demonstrated that it will not be linked to at least 
one air quality receptor in 2023, and none of these states' various 
arguments for alternative approaches ultimately present a satisfactory 
basis for the EPA to approve these states' SIP submissions.

A. Description of Air Quality Modeling for the Final Action

    In this section, the Agency describes the air quality modeling 
performed consistent with Steps 1 and 2 of the 4-step interstate 
transport framework to (1) Identify locations where it expects 
nonattainment or maintenance problems with respect to the 2015 ozone 
NAAQS for the 2023 analytic year, and (2) quantify the contributions 
from anthropogenic emissions from upwind states to downwind ozone 
concentrations at monitoring sites projected to be in nonattainment or 
have maintenance problems for the 2015 ozone NAAQS in 2023. This 
section includes information on the air quality modeling platform used 
in support of the final SIP disapproval action with a focus on the base 
year and future base case emissions inventories. The EPA also provides 
the projection of 2023 ozone concentrations and the interstate 
contributions for 8-hour ozone. The Final Action AQM TSD in Docket ID 
No. EPA-HQ-OAR-2021-0663 contains more detailed information on the air 
quality modeling aspects supporting our final action on these SIP 
submissions.
1. Public Review of Air Quality Modeling Information for the Proposed 
Action
    The EPA provided several opportunities to comment on the emissions 
modeling platform and air quality modeling results that were used for 
the proposed SIP submission actions. On September 20, 2021, the EPA 
publicly released via our web page updated emissions inventories 
(2016v2) and requested comment from states and

[[Page 9344]]

MJOs on these data.\45\ In January 2022, the EPA released air quality 
modeling results including projected ozone design values and 
contributions from 2023 based on the 2016v2 emissions. At that time the 
EPA indicated its intent to use these data to support upcoming 
transport rulemakings. Then, on February 22, 2022, the EPA published 
proposed disapprovals for 19 interstate transport SIP submissions using 
the modeling data released in January 2022 and the emissions 
inventories shared in September 2021.\46\ The EPA provided a 60-day 
comment period on these proposals. On May 24, 2022, the EPA proposed 
disapprovals for an additional four states' interstate transport SIP 
submissions using the same modeling platform, and provided a 62-day 
comment period.\47\ The EPA provided a 30-day comment period beginning 
on October 25, 2022, on the proposed disapproval of Alabama's June 21, 
2022, SIP submission, which relied on the same modeling platform as the 
other noted proposals.\48\ In addition to its proposed disapprovals, 
the EPA also proposed approval of Iowa's, Arizona's, and Colorado's SIP 
submissions using the 2016v2 modeling and provided 30-day comment 
periods. 87 FR 9477 (February 22, 2022) (Iowa); 87 FR 37776 (June 24, 
2022) (Arizona); and 87 FR 27050 (May 6, 2022) (Colorado).
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    \45\ <a href="https://www.epa.gov/air-emissions-modeling/2016v2-platform">https://www.epa.gov/air-emissions-modeling/2016v2-platform</a>.
    \46\ These proposals are listed in footnote 5 of this action.
    \47\ The EPA also relied on this same modeling data to support 
proposed Federal Implementation Plans (FIPs) resolving interstate 
transport obligations for 27 states for the 2015 ozone NAAQS. 87 FR 
20036 (April 6, 2022). The EPA allowed 60 days to receive comments 
on the proposed FIP rule, including acceptance of comment on the 
2016v2 emissions inventory-based modeling platform. The EPA then 
allowed for an additional 15 days via an extension of the comment 
period. 87 FR 29108 (May 12, 2022).
    \48\ 87 FR 64412, 64413.
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2. Overview of Air Quality Modeling Platform
    The EPA used version 3 of the 2016-based modeling platform (i.e., 
2016v3) for the air quality modeling for this final SIP disapproval 
action. This modeling platform includes 2016 base year emissions from 
anthropogenic and natural sources and future year projected 
anthropogenic emissions for 2023.\49\ The emissions data contained in 
the 2016v3 platform represent an update to the 2016 version 2 
inventories used for the proposal modeling.
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    \49\ The 2016v3 platform also includes projected emissions for 
2026. However, the 2026 data are not applicable and were not used in 
this final action.
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    The air quality modeling for this final disapproval action was 
performed for a modeling region (i.e., modeling domain) that covers the 
contiguous 48 states using a horizontal resolution of 12 x 12 km. The 
EPA used the CAMx version 7.10 for air quality modeling which is the 
same model that the EPA used for the proposed rule air quality 
modeling.\50\ Additional information on the 2016-based air quality 
modeling platform can be found in the Final Action AQM TSD.
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    \50\ Ramboll Environment and Health, January 2021, <a href="https://www.camx.com">https://www.camx.com</a>.
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    Comments: Commenters noted that the 2016 base year summer maximum 
daily average 8-hour (MDA8) ozone predictions from the proposal 
modeling were biased low compared to the corresponding measured 
concentrations in certain locations. In this regard, commenters said 
that model performance statistics for a number of monitoring sites, 
particularly those in portions of the West and in the area around Lake 
Michigan, were outside the range of published performance criteria for 
normalized mean bias (NMB) and normalized mean error (NME) of less than 
plus or minus 15 percent and less than 25 percent, respectively.\51\ 
Comments say the EPA must investigate the factors contributing to low 
bias and make necessary corrections to improve model performance in the 
modeling supporting final SIP actions. Some commenters said that the 
EPA should include NO<INF>X</INF> emissions from lightning strikes and 
assess the treatment of other background sources of ozone to improve 
model performance for the final action. Additional information on the 
comments on model performance can be found in the RTC document for this 
final SIP disapproval action.
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    \51\ Christopher Emery, Zhen Liu, Armistead G. Russell, M. Talat 
Odman, Greg Yarwood & Naresh Kumar (2017) Recommendations on 
statistics and benchmarks to assess photochemical model performance, 
Journal of the Air & Waste Management Association, 67:5, 582-598, 
DOI: 10.1080/10962247.1265027.
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    EPA Response: In response to these comments the EPA examined the 
temporal and spatial characteristics of model under prediction to 
investigate the possible causes of under prediction of MDA8 ozone 
concentrations in different regions of the U.S. in the proposal 
modeling. The EPA's analysis indicates that the under prediction was 
most extensive during May and June with less bias during July and 
August in most regions of the U.S. For example, in the Upper Midwest 
region model under prediction was larger in May and June compared to 
July through September. Specifically, the normalized mean bias for days 
with measured concentrations greater than or equal to 60 ppb improved 
from a 21.4 percent under prediction for May and June to a 12.6 percent 
under prediction in the period July through September. As described in 
the AQM TSD, the seasonal pattern in bias in the Upper Midwest region 
improves somewhat gradually with time from the middle of May to the 
latter part of June. In view of the seasonal pattern in bias in the 
Upper Midwest and in other regions of the U.S., the EPA focused its 
investigation of model performance on model inputs that, by their 
nature, have the largest temporal variation within the ozone season. 
These inputs include emissions from biogenic sources and lightning 
NO<INF>X</INF>, and contributions from transport of international 
anthropogenic emissions and natural sources into the U.S. Both biogenic 
and lightning NO<INF>X</INF> emissions in the U.S. dramatically 
increase from spring to summer.<SUP>52 53</SUP> In contrast, ozone 
transported into the U.S. from international anthropogenic and natural 
sources peaks during the period March through June, with lower 
contributions during July through September.<SUP>54 55</SUP> To 
investigate the impacts of the sources, the EPA conducted sensitivity 
model runs which focused on the effects on model performance of adding 
NO<INF>X</INF> emissions from lightning strikes, using updated biogenic 
emissions, and using an alternative approach (described in more detail 
later in this section) for quantifying transport of ozone and precursor 
pollutants into the U.S. from international anthropogenic and natural 
sources. In the air quality modeling for proposal, the amount of 
transport from international sources was based on a simulation of the 
hemispheric version of the Community Multi-scale Air Quality

[[Page 9345]]

Model (H-CMAQ) \56\ for 2016. The outputs from this hemispheric 
modeling were then used to provide boundary conditions for the national 
scale air quality modeling at proposal.\57\ Overall, H-CMAQ tends to 
under predict daytime ozone concentrations at rural and remote 
monitoring sites across the U.S. during the spring of 2016 whereas the 
predictions from the GEOS-Chem global model \58\ were generally less 
biased.\59\ During the summer of 2016 both models showed varying 
degrees of over prediction with GEOS-Chem showing somewhat greater over 
prediction, compared to H-CMAQ. In view of those results, the EPA 
examined the impacts of using GEOS-Chem as an alternative to H-CMAQ for 
providing boundary conditions for the modeling supporting this final 
action.
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    \52\ Guenther, A.B., 1997. Seasonal and spatial variations in 
natural volatile organic compound emissions. Ecol. Appl. 7, 34-45. 
<a href="http://dx.doi.org/10.1890/1051-0761">http://dx.doi.org/10.1890/1051-0761</a>(1997) 007[0034:SASVIN]2.0.CO;2. 
Guenther, A., Hewitt, C.N., Erickson, D., Fall, R.
    \53\ Kang D, Mathur R, Pouliot GA, Gilliam RC, Wong DC. 
Significant ground-level ozone attributed to lightning-induced 
nitrogen oxides during summertime over the Mountain West States. NPJ 
Clim Atmos Sci. 2020 Jan 30;3:6. doi: 10.1038/s41612-020-0108-2. 
PMID: 32181370; PMCID: PMC7075249.
    \54\ Jaffe DA, Cooper OR, Fiore AM, Henderson BH, Tonnesen GS, 
Russell AG, Henze DK, Langford AO, Lin M, Moore T. Scientific 
assessment of background ozone over the U.S.: Implications for air 
quality management. Elementa (Wash DC). 2018;6(1):56. doi: 10.1525/
elementa.309. PMID: 30364819; PMCID: PMC6198683.
    \55\ Henderson, B.H., P. Dolwick, C. Jang, A., Eyth, J. 
Vukovich, R. Mathur, C. Hogrefe, N. Possiel, G. Pouliot, B. Timin, 
K.W. Appel, 2019. Global Sources of North American Ozone. Presented 
at the 18th Annual Conference of the UNC Institute for the 
Environment Community Modeling and Analysis System (CMAS) Center, 
October 21-23, 2019.
    \56\ Mathur, R., Gilliam, R., Bullock, O.R., Roselle, S., Pleim, 
J., Wong, D., Binkowski, F., and 1 Streets, D.: Extending the 
applicability of the community multiscale air quality model to 2 
hemispheric scales: motivation, challenges, and progress. In: Steyn 
DG, Trini S (eds) Air 3 pollution modeling and its applications, 
XXI. Springer, Dordrecht, pp 175-179, 2012.
    \57\ Boundary conditions are the concentrations of pollutants 
along the north, east, south, and west boundaries of the air quality 
modeling domain. Boundary conditions vary in space and time and are 
typically obtained from predictions of global or hemispheric models. 
Information on how boundary conditions were developed for modeling 
supporting EPA's final SIP actions can be found in the AQM TSD.
    \58\ I. Bey, D.J. Jacob, R.M. Yantosca, J.A. Logan, B.D. Field, 
A.M. Fiore, Q. Li, H.Y. Liu, L.J. Mickley, M.G. Schultz. Global 
modeling of tropospheric chemistry with assimilated meteorology: 
model description and evaluation. J. Geophys. Res. Atmos., 106 
(2001), pp. 23073-23095, 10.1029/2001jd000807.
    \59\ Henderson, B.H., P. Dolwick, C. Jang, A., Eyth, J. 
Vukovich, R. Mathur, C. Hogrefe, G. Pouliot, N. Possiel, B. Timin, 
K.W. Appel, 2022. Meteorological and Emission Sensitivity of 
Hemispheric Ozone and PM<INF>2.5</INF>. Presented at the 21st Annual 
Conference of the UNC Institute for the Environment Community 
Modeling and Analysis System (CMAS) Center, October 17-19, 2022.
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    For the lightning NO<INF>X</INF>, biogenics, and GEOS-Chem 
sensitivity runs, the EPA reran the proposal modeling using each of 
these inputs, individually. Results from these sensitivity runs 
indicate that each of the three updates provides an improvement in 
model performance. However, by far the greatest improvement in modeling 
performance is attributable to the use of GEOS-Chem. In view of these 
results the EPA has included lightning NO<INF>X</INF> emissions, 
updated biogenic emissions, and international transport from GEOS-Chem 
in the air quality modeling supporting final SIP actions. Details on 
the results of the individual sensitivity runs can be found in the AQM 
TSD. For the air quality modeling supporting final SIP actions, model 
performance based on days in 2016 with measured MDA8 ozone greater than 
or equal to 60 ppb is considerably improved (i.e., less bias and error) 
compared to the proposal modeling in nearly all regions. For example, 
in the Upper Midwest, which includes monitoring sites along Lake 
Michigan, the normalized mean bias improved from a 19 percent under 
prediction to a 6.9 percent under prediction and in the Southwest 
region, which includes monitoring sites in Denver, Las Cruces, El Paso, 
and Salt Lake City, normalized mean bias improved from a 13.6 percent 
under prediction to a 4.8 percent under prediction.\60\ In all regions, 
the normalized mean bias and normalized mean error statistics for high 
ozone days based on the modeling supporting final SIP actions are 
within the range of performance criteria benchmarks (i.e., less than 
plus or minus 15 percent for normalized mean bias and less than 25 
percent for normalized mean error).\61\ Additional information on model 
performance information is provided in the AQM TSD. In summary, the EPA 
included emissions of lightning NO<INF>X</INF>, as requested by 
commenters, and investigated and addressed concerns about model 
performance for the modeling supporting final SIP actions.
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    \60\ A comparison of model performance from the proposal 
modeling to the final modeling for individual monitoring sites can 
be found in the docket for this final action.
    \61\ Christopher Emery, Zhen Liu, Armistead G. Russell, M. Talat 
Odman, Greg Yarwood & Naresh Kumar (2017) Recommendations on 
statistics and benchmarks to assess photochemical model performance, 
Journal of the Air & Waste Management Association, 67:5, 582-598, 
DOI: 10.1080/10962247.1265027.
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3. Emissions Inventories
    The EPA developed emissions inventories to support air quality 
modeling for this final action, including emissions estimates for EGUs, 
non-EGU point sources (i.e., stationary point sources), stationary 
nonpoint sources, onroad mobile sources, nonroad mobile sources, other 
mobile sources, wildfires, prescribed fires, and biogenic emissions 
that are not the direct result of human activities. The EPA's air 
quality modeling relies on this comprehensive set of emissions 
inventories because emissions from multiple source categories are 
needed to model ambient air quality and to facilitate comparison of 
model outputs with ambient measurements.
    Prior to the modeling of air quality, the emissions inventories 
must be processed into a format that is appropriate for the air quality 
model to use. To prepare the emissions inventories for air quality 
modeling, the EPA processed the emissions inventories using the Sparse 
Matrix Operator Kernel Emissions (SMOKE) Modeling System version 4.9 to 
produce the gridded, hourly, speciated, model-ready emissions for input 
to the air quality model. Additional information on the development of 
the emissions inventories and on data sets used during the emissions 
modeling process are provided in the document titled ``Technical 
Support Document (TSD): Preparation of Emissions Inventories for the 
2016v3 North American Emissions Modeling Platform,'' hereafter known as 
the ``2016v3 Emissions Modeling TSD.'' This TSD is available in the 
docket for this action.\62\
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    \62\ See Preparation of Emissions Inventories for the 2016v3 
North American Emissions Modeling Platform TSD, also available at 
<a href="https://www.epa.gov/air-emissions-modeling/2016v3-platform">https://www.epa.gov/air-emissions-modeling/2016v3-platform</a>.
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4. Foundation Emissions Inventory
    The 2016v3 emissions platform is comprised of data from various 
sources including data developed using models, methods, and source 
datasets that became available in calendar years 2020 through 2022, in 
addition to data retained from the Inventory Collaborative 2016 version 
1 (2016v1) Emissions Modeling Platform, released in October 2019. The 
2016v1 platform was developed through a national collaborative effort 
between the EPA and state and local agencies along with MJOs. The 
2016v2 platform used to support the proposed action included updated 
data, models and methods as compared to 2016v1. The 2016v3 platform 
includes updates implemented in response to comments along with other 
updates to the 2016v2 platform such as corrections and the 
incorporation of updated data sources that became available prior to 
the 2016v3 inventories being developed. Several commenters noted that 
the 2016v2 platform did not include NO<INF>X</INF> emissions that 
resulted from lightning strikes. To address this, lightning 
NO<INF>X</INF> emissions were computed and included in the 2016v3 
platform.
    For this final action, the EPA developed emissions inventories for 
the base year of 2016 and the projected year of 2023. The 2023 
inventories represent changes in activity data and of predicted 
emissions reductions from on-the-books actions, planned emissions 
control installations, and promulgated Federal measures that affect 
anthropogenic emissions. The 2016 emissions inventories for the U.S. 
primarily include data derived from the 2017 National Emissions 
Inventory (2017

[[Page 9346]]

NEI) \63\ and data specific to the year of 2016. The following sections 
provide an overview of the construct of the 2016v3 emissions and 
projections. The fire emissions were unchanged between the 2016v2 and 
2016v3 emissions platforms. For the 2016v3 platform, the biogenic 
emissions were updated to use the latest available versions of the 
Biogenic Emissions Inventory System and associated land use data to 
help address comments related to a degradation in model performance in 
the 2016v2 platform as compared to the 2016v1 platform. Details on the 
construction of the inventories are available in the 2016v3 Emissions 
Modeling TSD. Details on how the EPA responded to comments related to 
emissions inventories are available in the RTC document for this 
action.
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    \63\ <a href="https://www.epa.gov/air-emissions-inventories/2017-national-emissions-inventory-nei-technical-support-document-tsd">https://www.epa.gov/air-emissions-inventories/2017-national-emissions-inventory-nei-technical-support-document-tsd</a>.
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    Development of emissions inventories for annual NO<INF>X</INF> and 
sulfur dioxide (SO<INF>2</INF>) emissions for EGUs in the 2016 base 
year inventory are based primarily on data from continuous emissions 
monitoring systems (CEMS) and other monitoring systems allowed for use 
by qualifying units under 40 CFR part 75, with other EGU pollutants 
estimated using emissions factors and annual heat input data reported 
to the EPA. For EGUs not reporting under part 75, the EPA used data 
submitted to the NEI by state, local, and tribal agencies. The final 
action inventories include updates made in response to comments on the 
proposed actions including the proposed SIP submission disapprovals and 
the proposed FIP. The Air Emissions Reporting Rule, (80 FR 8787; 
February 19, 2015), requires that Type A point sources large enough to 
meet or exceed specific thresholds for emissions be reported to the EPA 
via the NEI every year, while the smaller Type B point sources must 
only be reported to EPA every 3 years. In response to comments, 
emissions data for EGUs that did not have data submitted to the NEI 
specific to the year 2016 were filled in with data from the 2017 NEI. 
For more information on the details of how the 2016 EGU emissions were 
developed and prepared for air quality modeling, see the 2016v3 
Emissions Modeling TSD.
    The EPA projected 2023 baseline EGU emissions using version 6 of 
the Integrated Planning Model (IPM) (<a href="http://www.epa.gov/airmarkets/powersector-modeling">www.epa.gov/airmarkets/powersector-modeling</a>). IPM, developed by ICF Consulting, is a state-of-
the-art, peer-reviewed, multi-regional, dynamic, deterministic linear 
programming model of the contiguous U.S. electric power sector. It 
provides forecasts of least cost capacity expansion, electricity 
dispatch, and emissions control strategies while meeting energy demand 
and environmental, transmission, dispatch, and reliability constraints. 
The EPA has used IPM for over two decades to better understand power 
sector behavior under future business-as-usual conditions and to 
evaluate the economic and emissions impacts of prospective 
environmental policies. The model is designed to reflect electricity 
markets as accurately as possible. The EPA uses the best available 
information from utilities, industry experts, gas and coal market 
experts, financial institutions, and government statistics as the basis 
for the detailed power sector modeling in IPM. The model documentation 
provides additional information on the assumptions discussed here as 
well as all other model assumptions and inputs.\64\ The EPA relied on 
the same model platform as in the proposals but made substantial 
updates to reflect public comments on near-term fossil fuel market 
price volatility and updated fleet information reflecting Summer 2022 
U.S. Energy Information Agency (EIA) 860 data, unit-level comments, and 
additional updates to the National Electric Energy Data System (NEEDS) 
inventory.
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    \64\ Detailed information and documentation of the EPA's Base 
Case, including all the underlying assumptions, data sources, and 
architecture parameters can be found on the EPA's website at: 
<a href="https://www.epa.gov/airmarkets/power-sector-modeling">https://www.epa.gov/airmarkets/power-sector-modeling</a>.
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    The IPM version 6--Updated Summer 2021 Reference Case incorporated 
recent updates through the summer 2022 to account for updated Federal 
and state environmental regulations (including Renewable Portfolio 
Standards (RPS), Clean Energy Standards (CES) and other state 
mandates), fleet changes (committed EGU retirements and new builds), 
electricity demand, technology cost and performance assumptions from 
recent data for renewables adopting from National Renewable Energy Lab 
(NREL's) Annual Technology Baseline 2020 and for fossil sources from 
the EIA's Annual Energy Outlook (AEO) 2020. Natural gas and coal price 
projections reflect data developed in fall 2020 but updated in summer 
2022 to capture near-term price volatility and current market 
conditions. The inventory of EGUs provided as an input to the model was 
the NEEDS fall 2022 version and is available on the EPA's website.\65\ 
This version of NEEDS reflects announced retirements and under 
construction new builds known as of early summer 2022. This projected 
base case accounts for the effects of the final Mercury and Air Toxics 
Standards rule, CSAPR, the CSAPR Update, the Revised CSAPR Update, New 
Source Review enforcement settlements, the final Effluent Limitation 
Guidelines (ELG) Rule, the Coal Combustion Residual (CCR) Rule, and 
other on-the-books Federal and state rules (including renewable energy 
tax credit extensions from the Consolidated Appropriations Act of 2021) 
through early 2021 impacting emissions of SO<INF>2</INF>, 
NO<INF>X</INF>, directly emitted particulate matter, carbon dioxide 
(CO<INF>2</INF>), and power plant operations. It also includes final 
actions, up through the Summer 2022, the EPA has taken to implement the 
Regional Haze Rule and best available retrofit technology (BART) 
requirements. Documentation of IPM version 6 and NEEDS, along with 
updates, is in Docket ID No. EPA-HQ-OAR-2021-0663 and available online 
at <a href="https://www.epa.gov/airmarkets/power-sector-modeling">https://www.epa.gov/airmarkets/power-sector-modeling</a>.
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    \65\ Available at <a href="https://www.epa.gov/airmarkets/national-electric-energy-data-system-needs-v6">https://www.epa.gov/airmarkets/national-electric-energy-data-system-needs-v6</a>.
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    Non-EGU point source emissions are mostly consistent with those in 
the proposal modeling except where they were updated in response to 
comments. Several commenters mentioned that point source emissions 
carried forward from 2014 NEI were not the best estimates of 2017 
emissions. Thus, emissions sources in 2016v2 that had been projected 
from the 2014 NEI in the proposal were replaced with emissions based on 
the 2017 NEI. Point source emissions submitted to the 2016 NEI or to 
the 2016v1 platform development process specifically for the year 2016 
were retained in 2016v3.
    The 2023 non-EGU point source emissions were grown from 2016 to 
2023 using factors based on AEO 2022 and reflect emissions reductions 
due to known national and local rules, control programs, plant 
closures, consent decrees, and settlements that could be computed as 
reductions to specific units by July 2022.
    Aircraft emissions and ground support equipment at airports are 
represented as point sources and are based on adjustments to emissions 
in the January 2021 version of the 2017 NEI. The EPA developed and 
applied factors to adjust the 2017 airport emissions to 2016 and 2023 
based on activity growth projected by the Federal Aviation 
Administration Terminal Area Forecast 2021,\66\ the latest available 
version at the time the factors were developed.
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    \66\ <a href="https://www.faa.gov/data_research/aviation/taf/">https://www.faa.gov/data_research/aviation/taf/</a>.

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[[Page 9347]]

    Emissions at rail yards were represented as point sources. The 2016 
rail yard emissions are largely consistent with the 2017 NEI rail yard 
emissions. The 2016 and 2023 rail yard emissions were developed through 
the 2016v1 Inventory Collaborative process. Class I rail yard emissions 
were projected based on the AEO freight rail energy use growth rate 
projections for 2023 with the fleet mix assumed to be constant 
throughout the period.
    The EPA made multiple updates to point source oil and gas emissions 
in response to comments. For the 2016v3 modeling, the point source oil 
and gas emissions for 2016 were based on the 2016v2 point inventory 
except that most 2014 NEI-based emissions were replaced with 2017 NEI 
emissions. Additionally, in response to comments, state-provided 
emissions equivalent to those in the 2016v1 platform were used for 
Colorado, and some New Mexico emissions were replaced with data 
backcast from 2020 to 2016. To develop inventories for 2023 for the 
2016v3 platform, the year 2016 oil and gas point source inventories 
were first projected to 2021 values based on actual historical 
production data, then those 2021 emissions were projected to 2023 using 
regional projection factors based on AEO 2022 projections. This was an 
update from the 2016v2 approach in which actual data were used only 
through the year 2019, because 2021 data were not yet available. 
NO<INF>X</INF> and VOC reductions resulting from co-benefits to New 
Source Performance Standards (NSPS) for Stationary Reciprocating 
Internal Combustion Engines (RICE) are reflected, along with Natural 
Gas Turbine and Process Heater NSPS NO<INF>X</INF> controls and Oil and 
Gas NSPS VOC controls. In some cases, year 2019 point source inventory 
data were used instead of the projected future year emissions except 
for the Western Regional Air Partnership (WRAP) states of Colorado, New 
Mexico, Montana, Wyoming, Utah, North Dakota, and South Dakota. The 
WRAP future year inventory \67\ was used in these WRAP states in all 
future years except in New Mexico where the WRAP base year emissions 
were projected using the EIA historical and AEO forecasted production 
data. Estimated impacts from the recent oil and gas rule in the New 
Mexico Administrative code 20.2.50 \68\ were also included. Details on 
the development of the projected point and nonpoint oil and gas 
emissions inventories are available in the 2016v3 Emissions Modeling 
TSD in Docket ID No. EPA-HQ-OAR-2021-0663.
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    \67\ <a href="http://www.wrapair2.org/pdf/WRAP_OGWG_2028_OTB_RevFinalReport_05March2020.pdf">http://www.wrapair2.org/pdf/WRAP_OGWG_2028_OTB_RevFinalReport_05March2020.pdf</a>.
    \68\ <a href="https://www.env.nm.gov/air-quality/ozone-draft-rule/">https://www.env.nm.gov/air-quality/ozone-draft-rule/</a> and 
<a href="https://www.srca.nm.gov/parts/title20/20.002.0050.html">https://www.srca.nm.gov/parts/title20/20.002.0050.html</a>.
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    Onroad mobile sources include exhaust, evaporative, and brake and 
tire wear emissions from vehicles that drive on roads, parked vehicles, 
and vehicle refueling. Emissions from vehicles using regular gasoline, 
high ethanol gasoline, diesel fuel, and electric vehicles were 
represented, along with buses that used compressed natural gas. The EPA 
developed the onroad mobile source emissions for states other than 
California using the EPA's Motor Vehicle Emissions Simulator (MOVES). 
MOVES3 was released in November 2020 and has been followed by some 
minor releases that improved the usage of the model but that do not 
have substantive impacts on the emissions estimates. For 2016v2, MOVES3 
was run using inputs provided by state and local agencies through the 
2017 NEI where available, in combination with nationally available data 
sets to develop a complete inventory. Onroad emissions were developed 
based on emissions factors output from MOVES3 run for the year 2016, 
coupled with activity data (e.g., vehicle miles traveled and vehicle 
populations) representing the year 2016. The 2016 activity data were 
provided by some state and local agencies through the 2016v1 process, 
and the remaining activity data were derived from those used to develop 
the 2017 NEI. The onroad emissions were computed within SMOKE by 
multiplying emissions factors developed using MOVES with the 
appropriate activity data. Prior to computing the final action 
emissions for 2016, updates to some onroad inputs were made in response 
to comments and to implement corrections. Onroad mobile source 
emissions for California were consistent with the updated emissions 
data provided by the state for the final action.
    The 2023 onroad emissions reflect projected changes to fuel 
properties and usage, along with the impact of the rules included in 
MOVES3 for each of those years. MOVES emissions factors for the year 
2023 were used. A comprehensive list of control programs included for 
onroad mobile sources is available in the 2016v3 Emissions Modeling 
TSD. Year 2023 activity data for onroad mobile sources were provided by 
some state and local agencies, and otherwise were projected to 2023 by 
first projecting the 2016 activity to year 2019 based on county level 
vehicle miles traveled (VMT) from the Federal Highway Administration. 
The VMT were held flat from 2019 to 2021 to account for pandemic 
impacts, and then projected from 2021 to 2023 using AEO 2022-based 
factors.\69\ Recent updates to inspection and maintenance programs in 
North Carolina and Tennessee were reflected in the MOVES inputs for the 
modeling supporting this final action. The 2023 onroad mobile emissions 
were computed within SMOKE by multiplying the respective emissions 
factors developed using MOVES with the year-specific activity data. 
Prior to computing the final action emissions for 2023, the EPA made 
updates to some onroad inputs in response to comments and to implement 
corrections.
---------------------------------------------------------------------------

    \69\ VMT data for 2020 were the latest available at the time of 
final rule data development but were heavily impacted by the 
pandemic and unusable to project to 2023; in addition, it was 
determined that chaining factors based on AEO 2020 and AEO2021 
obtain the needed factors led to unrealistic artifacts, thus only 
AEO 2022 data were used.
---------------------------------------------------------------------------

    The commercial marine vessel (CMV) emissions in the 2016 base case 
emissions inventory for this action were based on those in the 2017 
NEI. Factors were applied to adjust the 2017 NEI emissions backward to 
represent emissions for the year 2016. The CMV emissions are consistent 
with the emissions for the 2016v1 platform CMV emissions released in 
February 2020 although, in response to comments, the EPA implemented an 
improved process for spatially allocating CMV emissions along state and 
county boundaries for the modeling supporting this final action.
    The EPA developed nonroad mobile source emissions inventories 
(other than CMV, locomotive, and aircraft emissions) for 2016 and 2023 
from monthly, county, and process level emissions output from MOVES3. 
Types of nonroad equipment include recreational vehicles, pleasure 
craft, and construction, agricultural, mining, and lawn and garden 
equipment.\70\ The nonroad emissions for the final action were 
unchanged from those at the proposal. The nonroad mobile emissions 
control programs include reductions to locomotives, diesel engines, and 
recreational marine engines, along with standards for fuel sulfur 
content and evaporative emissions. A comprehensive list of

[[Page 9348]]

control programs included for mobile sources is available in the 2016v3 
Emissions Modeling TSD.
---------------------------------------------------------------------------

    \70\ Line haul locomotives are also considered a type of nonroad 
mobile source but the emissions inventories for locomotives were not 
developed using MOVES3. Year 2016 and 2023 locomotive emissions were 
developed through the 2016v1 process, and the year 2016 emissions 
are mostly consistent with those in the 2017 NEI. The projected 
locomotive emissions for 2023 were developed by applying factors to 
the base year emissions using activity data based on AEO freight 
rail energy use growth rate projections along with emissions rates 
adjusted to account for recent historical trends.
---------------------------------------------------------------------------

    For stationary nonpoint sources, some emissions in the 2016 base 
case emissions inventory come directly from the 2017 NEI, others were 
adjusted from the 2017 NEI to represent 2016 levels, and the remaining 
emissions including those from oil and gas, fertilizer, and solvents 
were computed specifically to represent 2016. Stationary nonpoint 
sources include evaporative sources, consumer products, fuel combustion 
that is not captured by point sources, agricultural livestock, 
agricultural fertilizer, residential wood combustion, fugitive dust, 
and oil and gas sources. The emissions sources derived from the 2017 
NEI include agricultural livestock, fugitive dust, residential wood 
combustion, waste disposal (including composting), bulk gasoline 
terminals, and miscellaneous non-industrial sources such as cremation, 
hospitals, lamp breakage, and automotive repair shops. A recent method 
to compute solvent VOC emissions was used.\71\
---------------------------------------------------------------------------

    \71\ <a href="https://doi.org/10.5194/acp-21-5079-2021">https://doi.org/10.5194/acp-21-5079-2021</a>.
---------------------------------------------------------------------------

    Where comments were provided about projected control measures or 
changes in nonpoint source emissions, those inputs were first reviewed 
by the EPA. Those found to be based on reasonable data for affected 
emissions sources were incorporated into the projected inventories for 
2023 to the extent possible. Where possible, projection factors based 
on the AEO used data from AEO 2022, the most recent AEO at the time 
available at the time the inventories were developed. Federal 
regulations that impact the nonpoint sources were reflected in the 
inventories. Adjustments for state fuel sulfur content rules for fuel 
oil in the Northeast were included along with solvent controls 
applicable within the northeast ozone transport region (OTR) states. 
Details are available in the 2016v3 Emissions Modeling TSD.
    Nonpoint oil and gas emissions inventories for many states were 
developed based on outputs from the 2017 NEI version of the EPA Oil and 
Gas Tool using activity data for year 2016. Production-related 
emissions data from the 2017 NEI were used for Oklahoma, 2016v1 
emissions were used for Colorado and Texas production-related sources 
to respond to comments. Data for production-related nonpoint oil and 
gas emissions in the States of Colorado, Montana, New Mexico, North 
Dakota, South Dakota, Utah, and Wyoming were obtained from the WRAP 
baseline inventory.\72\ A California Air Resources Board-provided 
inventory was used for 2016 oil and gas emissions in California. 
Nonpoint oil and gas inventories for 2023 were developed by first 
projecting the 2016 oil and gas inventories to 2021 values based on 
actual production data. Next, those 2021 emissions were projected to 
2023 using regional projection factors by product type based on AEO 
2022 projections. A 2017-2019 average inventory was used for oil and 
natural gas exploration emissions in 2023 everywhere except for 
California and in the WRAP states in which data from the WRAP future 
year inventory \73\ were used. NO<INF>X</INF> and VOC reductions that 
are co-benefits to the NSPS for RICE are reflected, along with Natural 
Gas Turbines and Process Heaters NSPS NO<INF>X</INF> controls and NSPS 
Oil and Gas VOC controls. The WRAP future year inventory was used for 
oil and natural gas production sources in 2023 except in New Mexico 
where the WRAP Base year emissions were projected using the EIA 
historical and AEO forecasted production data. Estimated impacts from 
the New Mexico Administrative Code 20.2.50 were included.
---------------------------------------------------------------------------

    \72\ <a href="http://www.wrapair2.org/pdf/WRAP_OGWG_Report_Baseline_17Sep2019.pdf">http://www.wrapair2.org/pdf/WRAP_OGWG_Report_Baseline_17Sep2019.pdf</a>.
    \73\ <a href="http://www.wrapair2.org/pdf/WRAP_OGWG_2028_OTB_RevFinalReport_05March2020.pdf">http://www.wrapair2.org/pdf/WRAP_OGWG_2028_OTB_RevFinalReport_05March2020.pdf</a>.
---------------------------------------------------------------------------

B. Air Quality Modeling To Identify Nonattainment and Maintenance 
Receptors

    This section describes the air quality modeling and analyses that 
the EPA performed in Step 1 to identify locations where the Agency 
expects there to be nonattainment or maintenance receptors for the 2015 
ozone NAAQS in 2023. Where the EPA's analysis shows that an area or 
site does not fall under the definition of a nonattainment or 
maintenance receptor in 2023, that site is excluded from further 
analysis under the EPA's good neighbor framework.
1. Approach for Identifying Receptors
    In the proposed actions, the EPA applied the same approach used in 
the CSAPR Update and the Revised CSAPR Update to identify nonattainment 
and maintenance receptors for the 2008 ozone NAAQS.\74\ The EPA's 
approach gives independent effect to both the ``contribute 
significantly to nonattainment'' and the ``interfere with maintenance'' 
prongs of section 110(a)(2)(D)(i)(I), consistent with the D.C. 
Circuit's direction in North Carolina. Further, in its decision on the 
remand of CSAPR from the Supreme Court in the EME Homer City II case, 
the D.C. Circuit confirmed that the EPA's approach to identifying 
maintenance receptors in CSAPR comported with the court's prior 
instruction to give independent meaning to the ``interfere with 
maintenance'' prong in the good neighbor provision.\75\
---------------------------------------------------------------------------

    \74\ See 86 FR 23078-79.
    \75\ EME Homer City II, 795 F.3d at 136.
---------------------------------------------------------------------------

    In the CSAPR Update and the Revised CSAPR Update, the EPA 
identified nonattainment receptors as those monitoring sites that are 
projected to have average design values that exceed the NAAQS and that 
are also measuring nonattainment based on the most recent monitored 
design values. This approach is consistent with prior transport 
rulemakings, such as the NO<INF>X</INF> SIP Call and CAIR, where the 
EPA defined nonattainment receptors as those areas that both currently 
monitor nonattainment and that the EPA projects will be in 
nonattainment in the future compliance year.
    The Agency explained in the NO<INF>X</INF> SIP Call and CAIR and 
then reaffirmed in the CSAPR Update that the EPA has the most 
confidence in our projections of nonattainment for those counties that 
also measure nonattainment for the most recent period of available 
ambient data. The EPA separately identified maintenance receptors as 
those receptors that would have difficulty maintaining the relevant 
NAAQS in a scenario that accounts for historical variability in air 
quality at that receptor. The variability in air quality was determined 
by evaluating the ``maximum'' future design value at each receptor 
based on a projection of the maximum measured design value over the 
relevant period. The EPA interprets the projected maximum future design 
value to be a potential future air quality outcome consistent with the 
meteorology that yielded maximum measured concentrations in the ambient 
data set analyzed for that receptor (i.e., ozone conducive 
meteorology). The EPA also recognizes that previously experienced 
meteorological conditions (e.g., dominant wind direction, temperatures, 
and air mass patterns) promoting ozone formation that led to maximum 
concentrations in the measured data may reoccur in the future. The 
maximum design value gives a reasonable projection of future air 
quality at the receptor under a scenario in which such conditions do, 
in fact, reoccur. The projected maximum design value is used to 
identify upwind emissions that, under those circumstances, could 
interfere with the downwind area's ability to maintain the NAAQS.

[[Page 9349]]

    Therefore, applying this methodology for this action, the EPA 
assessed the magnitude of the maximum projected design values for 2023 
at each receptor in relation to the 2015 ozone NAAQS and, where such a 
value exceeds the NAAQS, the EPA determined that receptor to be a 
``maintenance'' receptor for purposes of defining interference with 
maintenance, consistent with the method used in CSAPR and upheld by the 
D.C. Circuit in EME Homer City II.\76\ That is, monitoring sites with a 
maximum design value that exceeds the NAAQS are projected to have 
maintenance problems in the future analytic years.
---------------------------------------------------------------------------

    \76\ EME Homer City II, 795 F.3d at 136.
---------------------------------------------------------------------------

    Recognizing that nonattainment receptors are also, by definition, 
maintenance receptors, the EPA often uses the term ``maintenance-only'' 
to refer to receptors that are not also nonattainment receptors. 
Consistent with the concepts for maintenance receptors, as described 
earlier, the EPA identifies ``maintenance-only'' receptors as those 
monitoring sites that have projected average design values above the 
level of the applicable NAAQS, but that are not currently measuring 
nonattainment based on the most recent official design values. In 
addition, those monitoring sites with projected average design values 
below the NAAQS, but with projected maximum design values above the 
NAAQS are also identified as ``maintenance only'' receptors, even if 
they are currently measuring nonattainment based on the most recent 
official certified design values.\77\
---------------------------------------------------------------------------

    \77\ See <a href="https://www.epa.gov/air-trends/air-quality-design-values">https://www.epa.gov/air-trends/air-quality-design-values</a> for design value reports. At the time of this action, the 
most recent reports of certified design values available are for the 
calendar year 2021. The 2022 values are considered ``preliminary'' 
and therefore subject to change before certification.
---------------------------------------------------------------------------

    Comment: The EPA received comments claiming that the projected 
design values for 2023 were biased low compared to recent measured 
data. Commenters noted that a number of monitoring sites that are 
projected to be below the NAAQS in 2023 based on the EPA's modeling for 
the proposed action are currently measuring nonattainment based on data 
from 2020 and 2021. One commenter requested that the EPA determine 
whether its past modeling tends to overestimate or underestimate actual 
observed design values. If EPA finds that the agency's model tends to 
underestimate future year design values, the commenter requests that 
EPA re-run its ozone modeling, incorporating parameters that account 
for this tendency.
    EPA Response: In response to comments, the EPA compared the 
projected 2023 design values based on the proposal modeling to recent 
trends in measured data. As a result of this analysis, the EPA agrees 
that current data indicate that there are monitoring sites at risk of 
continued nonattainment in 2023 even though the model projected average 
and maximum design values at these sites are below the NAAQS (i.e., 
these sites would not be modeling-based receptors at Step 1). While the 
EPA has confidence in the reliability of the modeling for projecting 
air quality conditions and contributions in future years, it would not 
be reasonable to ignore recent measured ozone levels in many areas that 
are clearly not fully consistent with certain concentrations in the 
Step 1 analysis for 2023. Therefore, the EPA has developed an 
additional maintenance-only receptor category, which includes what we 
refer to as ``violating monitor'' receptors, based on current ozone 
concentrations measured by regulatory ambient air quality monitoring 
sites.
    Specifically, the EPA has identified monitoring sites with measured 
2021 and preliminary 2022 design values and 4th high maximum daily 8-
hour average (MDA8) ozone in both 2021 and 2022 (preliminary data) that 
exceed the NAAQS as having the greatest risk of continuing to have a 
problem attaining the standard in 2023. These criteria sufficiently 
consider measured air quality data so as to avoid including monitoring 
sites that have measured nonattainment data in recent years but could 
reasonably be anticipated to not have a nonattainment or maintenance 
problem in 2023, in line with our modeling results. Our methodology is 
intended only to identify those sites that have sufficiently poor ozone 
levels that there is clearly a reasonable expectation that an ozone 
nonattainment or maintenance problem will persist in the 2023 ozone 
season. Moreover, the 2023 ozone season is so near in time that recent 
measured ozone levels can be used to reasonably project whether an air 
quality problem is likely to persist. We view this approach to 
identifying additional receptors in 2023 as the best means of 
responding to the comments on this issue in this action, while also 
identifying all transport receptors.
    For purposes of this action, we will treat these violating monitors 
as an additional type of maintenance-only receptor. We acknowledge that 
the traditional modeling plus monitoring methodology we used at 
proposal and in prior ozone transport rules would otherwise have 
identified such sites as being in attainment in 2023. Because our 
modeling did not identify these sites as receptors, we do not believe 
it is sufficiently certain that these sites will be in nonattainment 
that they should be considered nonattainment receptors. In the face of 
this uncertainty in the record, we regard our ability to consider such 
sites as receptors for purposes of good neighbor analysis under CAA 
section 110(a)(2)(D)(i)(I) to be a function of the requirement to 
prohibit emissions that interfere with maintenance of the NAAQS; even 
if an area may be projected to be in attainment, we have reliable 
information indicating that there is a clear risk that attainment will 
not in fact be achieved in 2023. Thus, our authority for treating these 
sites as receptors at Step 1 in 2023 flows from the responsibility in 
CAA section 110(a)(2)(i)(I) to prohibit emissions that interfere with 
maintenance of the NAAQS. See, e.g., North Carolina, 531 F.3d at 910-11 
(failing to give effect to the interfere with maintenance clause 
``provides no protection for downwind areas that, despite EPA's 
predictions, still find themselves struggling to meet NAAQS due to 
upwind interference . . . .'') (emphasis added). Recognizing that no 
modeling can perfectly forecast the future, and ``a degree of 
imprecision is inevitable in tackling the problem of interstate air 
pollution,'' this approach in the Agency's judgement best balances the 
need to avoid both ``under-control'' and ``overcontrol,'' EME Homer 
City, 572 U.S. at 523. The EPA's analysis of these additional receptors 
further is explained in Section III.C.
    However, because we did not propose to apply this expansion of the 
basis for regulation under the good neighbor provision receptor-
identification methodology as the sole basis for finding an upwind 
state linked, in this action we are only using this receptor category 
on a confirmatory basis. That is, for states that we find linked based 
on our traditional modeling-based methodology in 2023, we find in this 
final analysis that the linkage at Step 2 is strengthened and confirmed 
if that state is also linked to one or more ``violating-monitor'' 
receptors. If a state is only linked to a violating-monitor receptor in 
this final analysis, we are deferring taking final action on that 
state's SIP submittal. This is the case for the State of Tennessee. 
Among the states that previously had their transport SIPs approved for 
the 2015 ozone NAAQS, the EPA has also identified a linkage to 
violating-monitor receptors for the State of Kansas. The EPA intends to 
further review its air quality modeling results and recent measured 
ozone levels, and we intend to address these states' good

[[Page 9350]]

neighbor obligations as expeditiously as practicable in a future 
action.
2. Methodology for Projecting Future Year Ozone Design Values
    Consistent with the EPA's modeling guidance, the 2016 base year and 
future year air quality modeling results were used in a relative sense 
to project design values for 2023.\78\ That is, the ratios of future 
year model predictions to base year model predictions are used to 
adjust ambient ozone design values up or down depending on the relative 
(percent) change in model predictions for each location. The EPA's 
modeling guidance recommends using measured ozone concentrations for 
the 5-year period centered on the base year as the air quality data 
starting point for future year projections. This average design value 
is used to dampen the effects of inter-annual variability in 
meteorology on ozone concentrations and to provide a reasonable 
projection of future air quality at the receptor under average 
conditions. In addition, the Agency calculated maximum design values 
from within the 5-year base period to represent conditions when 
meteorology is more favorable than average for ozone formation. Because 
the base year for the air quality modeling used in this final action is 
2016, measured data for 2014-2018 (i.e., design values for 2016, 2017, 
and 2018) were used to project average and maximum design values in 
2023.
---------------------------------------------------------------------------

    \78\ U.S. Environmental Protection Agency, 2018. Modeling 
Guidance for Demonstrating Attainment of Air Quality Goals for 
Ozone, PM<INF>2.5</INF>, and Regional Haze, Research Triangle Park, 
NC. <a href="https://www.epa.gov/scram/state-implementation-plan-sip-attainment-demonstration-guidance">https://www.epa.gov/scram/state-implementation-plan-sip-attainment-demonstration-guidance</a>.
---------------------------------------------------------------------------

    The ozone predictions from the 2016 and future year air quality 
model simulations were used to project 2016-2018 average and maximum 
ozone design values to 2023 using an approach similar to the approach 
in the EPA's guidance for attainment demonstration modeling. This 
guidance recommends using model predictions from the 3 x 3 array of 
grid cells surrounding the location of the monitoring site to calculate 
a Relative Response Factor (RRF) for that site. However, the guidance 
also notes that an alternative array of grid cells may be used in 
certain situations where local topographic or geographical feature 
(e.g., a large water body or a significant elevation change) may 
influence model response.
    The 2016-2018 base period average and maximum design values were 
multiplied by the RRF to project each of these design values to 2023. 
In this manner, the projected design values are grounded in monitored 
data, and not the absolute model-predicted future year concentrations. 
Following the approach in the CSAPR Update and the Revised CSAPR 
Update, the EPA also projected future year design values based on a 
modified version of the ``3 x 3'' approach for those monitoring sites 
located in coastal areas. In this alternative approach, the EPA 
eliminated from the RRF calculations the modeling data in those grid 
cells that are dominated by water (i.e., more than 50 percent of the 
area in the grid cell is water) and that do not contain a monitoring 
site (i.e., if a grid cell is more than 50 percent water but contains 
an air quality monitor, that cell would remain in the calculation). The 
choice of more than 50 percent of the grid cell area as water as the 
criteria for identifying overwater grid cells is based on the treatment 
of land use in the Weather Research and Forecasting model (WRF). 
Specifically, in the WRF meteorological model those grid cells that are 
greater than 50% overwater are treated as being 100 percent overwater. 
In such cases the meteorological conditions in the entire grid cell 
reflect the vertical mixing and winds over water, even if part of the 
grid cell also happens to be over land with land-based emissions, as 
can often be the case for coastal areas. Overlaying land-based 
emissions with overwater meteorology may be representative of 
conditions at coastal monitors during times of on-shore flow associated 
with synoptic conditions or sea-breeze or lake-breeze wind flows. But 
there may be other times, particularly with off-shore wind flow, when 
vertical mixing of land-based emissions may be too limited due to the 
presence of overwater meteorology. Thus, for our modeling the EPA 
projected average and maximum design values at individual monitoring 
sites based on both the ``3 x 3'' approach as well as the alternative 
approach that eliminates overwater cells in the RRF calculation for 
near-coastal areas (i.e., ``no water'' approach). The projected 2023 
design values using both the ``3 x 3'' and ``no-water'' approaches are 
provided in the docket for this final action. Both approaches result in 
the same set of receptors in 2023. That is, monitoring sites that are 
identified as receptors in 2023 based on the ``3 x 3'' approach are 
also receptors based on the ``no water'' approach.
    Consistent with the truncation and rounding procedures for the 8-
hour ozone NAAQS, the projected design values are evaluated after 
truncation to integers in units of ppb. Therefore, projected design 
values that are greater than or equal to 71 ppb are considered to be 
violating the 2015 ozone NAAQS. For those sites that are projected to 
be violating the NAAQS based on the average design values in 2023, the 
Agency examined the measured design values for 2021, which are the most 
recent official measured design values at the time of this final 
action.
    As noted earlier, the Agency proposes to identify nonattainment 
receptors in this rulemaking as those sites that are violating the 
NAAQS based on current measured air quality through 2021 and have 
projected average design values of 71 ppb or greater. Maintenance-only 
receptors include both: (1) Those sites with projected average design 
values above the NAAQS that are currently measuring clean data (i.e., 
ozone design values below the level of the 2015 ozone NAAQS in 2021) 
and (2) those sites with projected average design values below the 
level of the NAAQS, but with projected maximum design values of 71 ppb 
or greater. In addition to the maintenance-only receptors, ozone 
nonattainment receptors are also maintenance receptors because the 
projected maximum design values for each of these sites is always 
greater than or equal to the average design value. Further, as 
explained previously in this section, the EPA identifies certain 
monitoring sites as ``violating monitor'' maintenance-only receptors 
based on 2021 and 2022 measured ozone levels.
    The monitoring sites that the Agency projects to be nonattainment 
and maintenance receptors for the ozone NAAQS in the 2023 base case are 
used for assessing the contribution of emissions in upwind states to 
downwind nonattainment and maintenance of the 2015 ozone NAAQS as part 
of this final action.
3. 2023 Nonattainment and Maintenance-Only Receptors for the Final 
Action
    In this section we provide information on modeling-based design 
values and measured data for monitoring sites identified as 
nonattainment or maintenance-only receptors in 2023 for this final 
action. Table III.B-1 of this action contains the 2016-centered base 
period average and maximum 8-hour ozone design values, the 2023 
projected average and maximum design values and the measured 2021 
design values for monitoring sites that are projected to be 
nonattainment receptors in 2023. Table III.B-2 of this action contains 
this same information for monitoring sites that are projected to be 
maintenance-only receptors in 2023, based on air quality modeling. 
Table III.B-3 of this action contains the 2023 projected average and 
maximum design values and 2021 design values and 4th high

[[Page 9351]]

MDA8 ozone concentrations and preliminary 2020 design values and 4th 
high MDA8 ozone concentrations for monitoring sites identified as 
violating monitor maintenance-only receptors. The design values for all 
monitoring sites in the U.S. are provided in the docket for this 
action. Additional details on the approach for projecting average and 
maximum design values are provided in the AQM TSD.

 Table III.B-1--Average and Maximum 2016-Centered and 2023 Base Case 8-Hour Ozone Design Values and 2021 Design Values (ppb) at Projected Nonattainment
                                                                       Receptors a
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                           2016 centered   2016 centered
             Monitor ID                 State             County              average         maximum      2023 average    2023 maximum        2021
--------------------------------------------------------------------------------------------------------------------------------------------------------
060650016...........................         CA  Riverside..............            79.0            80.0            72.2            73.1              78
060651016...........................         CA  Riverside..............            99.7             101            91.0            92.2              95
080350004...........................         CO  Douglas................            77.3              78            71.3            71.9              83
080590006...........................         CO  Jefferson..............            77.3              78            72.8            73.5              81
080590011...........................         CO  Jefferson..............            79.3              80            73.5            74.1              83
090010017...........................         CT  Fairfield..............            79.3              80            71.6            72.2              79
090013007...........................         CT  Fairfield..............            82.0              83            72.9            73.8              81
090019003...........................         CT  Fairfield..............            82.7              83            73.3            73.6              80
481671034...........................         TX  Galveston..............            75.7              77            71.5            72.8              72
482010024...........................         TX  Harris.................            79.3              81            75.1            76.7              74
490110004...........................         UT  Davis..................            75.7              78            72.0            74.2              78
490353006...........................         UT  Salt Lake..............            76.3              78            72.6            74.2              76
490353013...........................         UT  Salt Lake..............            76.5              77            73.3            73.8              76
551170006...........................         WI  Sheboygan..............            80.0              81            72.7            73.6              72
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ 2016-centered base period average design values and projected average and maximum design values are reported with 1 digit to the right of the
  decimal, as recommended in the EPA's modeling guidance. The 2016 maximum design values and 2021 design values are truncated to integer values
  consistent with ozone design value reporting convention in appendix U of 40 CFR part 50.


  Table III.B-2--Average and Maximum 2016-Centered and 2023 Base Case 8-Hour Ozone Design Values and 2021 Design Values (ppb) at Projected Maintenance-
                                                                     Only Receptors
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                           2016 centered   2016 centered
             Monitor ID                 State             County              average         maximum      2023 average    2023 maximum        2021
--------------------------------------------------------------------------------------------------------------------------------------------------------
040278011...........................         AZ  Yuma...................            72.3              74            70.4            72.1              67
080690011...........................         CO  Larimer................            75.7              77            70.9            72.1              77
090099002...........................         CT  New Haven..............            79.7              82            70.5            72.6              82
170310001...........................         IL  Cook...................            73.0              77            68.2            71.9              71
170314201...........................         IL  Cook...................            73.3              77            68.0            71.5              74
170317002...........................         IL  Cook...................            74.0              77            68.5            71.3              73
350130021...........................         NM  Dona Ana...............            72.7              74            70.8            72.1              80
350130022...........................         NM  Dona Ana...............            71.3              74            69.7            72.4              75
350151005...........................         NM  Eddy...................            69.7              74            69.7            74.1              77
350250008...........................         NM  Lea....................            67.7              70            69.8            72.2              66
480391004...........................         TX  Brazoria...............            74.7              77            70.4            72.5              75
481210034...........................         TX  Denton.................            78.0              80            69.8            71.6              74
481410037...........................         TX  El Paso................            71.3              73            69.8            71.4              75
482010055...........................         TX  Harris.................            76.0              77            70.9            71.9              77
482011034...........................         TX  Harris.................            73.7              75            70.1            71.3              71
482011035...........................         TX  Harris.................            71.3              75            67.8            71.3              71
530330023...........................         WA  King...................            73.3              77            67.6            71.0              64
550590019...........................         WI  Kenosha................            78.0              79            70.8            71.7              74
551010020...........................         WI  Racine.................            76.0              78            69.7            71.5              73
--------------------------------------------------------------------------------------------------------------------------------------------------------

    In total, in 2023 there are a total of projected 33 modeling-based 
receptors nationwide including 14 nonattainment receptors in 9 
different counties and 19 maintenance-only receptors in 13 additional 
counties (Harris County, TX, has both nonattainment and maintenance-
only receptors).
    As shown in Table III.B-3 of this action, there are 49 monitoring 
sites that are identified as ``violating-monitor'' maintenance-only 
receptors in 2023.As noted earlier in this section, the EPA uses the 
approach of considering ``violating-monitor'' maintenance-only 
receptors as confirmatory of the proposal's identification of receptors 
and does not implicate additional linked states in this final action, 
Rather, using this approach serves to strengthen the analytical basis 
for our Step 2 findings by establishing that many upwind states covered 
in this action are also projected to contribute above 1 percent of the 
NAAQS to these additional ``violating monitor'' maintenance-only 
receptors.

[[Page 9352]]



    Table III.B-3--Average and Maximum 2023 Base Case 8-Hour Ozone, and 2021 and Preliminary 2022 Design Values (ppb) and 4th High Concentrations at
                                                                  Violating Monitors a
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                2023         2023                                2021  4th   2022 P  4th
              Monitor ID                 State             County             average      maximum        2021        2022 P        high         high
--------------------------------------------------------------------------------------------------------------------------------------------------------
40070010.............................         AZ  Gila....................         67.9         69.5           77           76           75           74
40130019.............................         AZ  Maricopa................         69.8         70.0           75           77           78           76
40131003.............................         AZ  Maricopa................         70.1         70.7           80           80           83           78
40131004.............................         AZ  Maricopa................         70.2         70.8           80           81           81           77
40131010.............................         AZ  Maricopa................         68.3         69.2           79           80           80           78
40132001.............................         AZ  Maricopa................         63.8         64.1           74           78           79           81
40132005.............................         AZ  Maricopa................         69.6         70.5           78           79           79           77
40133002.............................         AZ  Maricopa................         65.8         65.8           75           75           81           72
40134004.............................         AZ  Maricopa................         65.7         66.6           73           73           73           71
40134005.............................         AZ  Maricopa................         62.3         62.3           73           75           79           73
40134008.............................         AZ  Maricopa................         65.6         66.5           74           74           74           71
40134010.............................         AZ  Maricopa................         63.8         66.9           74           76           77           75
40137020.............................         AZ  Maricopa................         67.0         67.0           76           77           77           75
40137021.............................         AZ  Maricopa................         69.8         70.1           77           77           78           75
40137022.............................         AZ  Maricopa................         68.2         69.1           76           78           76           79
40137024.............................         AZ  Maricopa................         67.0         67.9           74           76           74           77
40139702.............................         AZ  Maricopa................         66.9         68.1           75           77           72           77
40139704.............................         AZ  Maricopa................         65.3         66.2           74           77           76           76
40139997.............................         AZ  Maricopa................         70.5         70.5           76           79           82           76
40218001.............................         AZ  Pinal...................         67.8         69.0           75           76           73           77
80013001.............................         CO  Adams...................         63.0         63.0           72           77           79           75
80050002.............................         CO  Arapahoe................         68.0         68.0           80           80           84           73
80310002.............................         CO  Denver..................         63.6         64.8           72           74           77           71
80310026.............................         CO  Denver..................         64.5         64.8           75           77           83           72
90079007.............................         CT  Middlesex...............         68.7         69.0           74           73           78           73
90110124.............................         CT  New London..............         65.5         67.0           73           72           75           71
170310032............................         IL  Cook....................         67.3         69.8           75           75           77           72
170311601............................         IL  Cook....................         63.8         64.5           72           73           72           71
181270024............................         IN  Porter..................         63.4         64.6           72           73           72           73
260050003............................         MI  Allegan.................         66.2         67.4           75           75           78           73
261210039............................         MI  Muskegon................         67.5         68.4           74           79           75           82
320030043............................         NV  Clark...................         68.4         69.4           73           75           74           74
350011012............................         NM  Bernalillo..............         63.8         66.0           72           73           76           74
350130008............................         NM  Dona Ana................         65.6         66.3           72           76           79           78
361030002............................         NY  Suffolk.................         66.2         68.0           73           74           79           74
390850003............................         OH  Lake....................         64.3         64.6           72           74           72           76
480290052............................         TX  Bexar...................         67.1         67.8           73           74           78           72
480850005............................         TX  Collin..................         65.4         66.0           75           74           81           73
481130075............................         TX  Dallas..................         65.3         66.5           71           71           73           72
481211032............................         TX  Denton..................         65.9         67.7           76           77           85           77
482010051............................         TX  Harris..................         65.3         66.3           74           73           83           72
482010416............................         TX  Harris..................         68.8         70.4           73           73           78           71
484390075............................         TX  Tarrant.................         63.8         64.7           75           76           76           77
484391002............................         TX  Tarrant.................         64.1         65.7           72           77           76           80
484392003............................         TX  Tarrant.................         65.2         65.9           72           72           74           72
484393009............................         TX  Tarrant.................         67.5         68.1           74           75           75           75
490571003............................         UT  Weber...................         69.3         70.3           71           74           77           71
550590025............................         WI  Kenosha.................         67.6         70.7           72           73           72           71
550890008............................         WI  Ozaukee.................         65.2         65.8           71           72           72           72
--------------------------------------------------------------------------------------------------------------------------------------------------------
\a\ 2022 preliminary design values are based on 2022 measured MDA8 concentrations provided by state air agencies to the EPA's Air Quality System (AQS),
  as of January 3, 2023.

C. Air Quality Modeling To Quantify Upwind State Contributions

    This section documents the procedures the EPA used to quantify the 
impact of emissions from specific upwind states on ozone design values 
in 2023 for the identified downwind nonattainment and maintenance 
receptors. The EPA used CAMx photochemical source apportionment 
modeling to quantify the impact of emissions in specific upwind states 
on downwind nonattainment and maintenance receptors for 8-hour ozone. 
CAMx employs enhanced source apportionment techniques that track the 
formation and transport of ozone from specific emissions sources and 
calculates the contribution of sources and precursors to ozone for 
individual receptor locations. The benefit of the photochemical model 
source apportionment technique is that all modeled ozone at a given 
receptor location in the modeling domain is tracked back to specific 
sources of emissions and boundary conditions to fully characterize 
culpable sources.
    The EPA performed nationwide, state-level ozone source 
apportionment modeling using the CAMx Ozone Source Apportionment 
Technology/Anthropogenic Precursor Culpability Analysis (OSAT/APCA) 
technique \79\ to quantify the contribution of 2023 NO<INF>X</INF> and 
VOC emissions from all sources in each state to the corresponding 
projected ozone design values in 2023 at

[[Page 9353]]

air quality monitoring sites. The CAMx OSAT/APCA model run was 
performed for the period May 1 through September 30 using the projected 
future base case emissions and 2016 meteorology for this time period. 
In the source apportionment modeling the Agency tracked (i.e., tagged) 
the amount of ozone formed from anthropogenic emissions in each state 
individually as well as the contributions from other sources (e.g., 
natural emissions).
---------------------------------------------------------------------------

    \79\ As part of this technique, ozone formed from reactions 
between biogenic VOC and NO<INF>X</INF> with anthropogenic 
NO<INF>X</INF> and VOC are assigned to the anthropogenic emissions.
---------------------------------------------------------------------------

    In the state-by-state source apportionment model run, the EPA 
tracked the ozone formed from each of the following tags:
    <bullet> States--anthropogenic NO<INF>X</INF> emissions and VOC 
emissions from individual state (emissions from all anthropogenic 
sectors in a given state were combined);
    <bullet> Biogenics--biogenic NO<INF>X</INF> and VOC emissions 
domain-wide (i.e., not by state);
    <bullet> Boundary Concentrations--concentrations transported into 
the air quality modeling domain;
    <bullet> Tribes--the emissions from those tribal lands for which 
the Agency has point source inventory data emissions modeling platform 
(EPA did not model the contributions from individual tribes);
    <bullet> Canada and Mexico--anthropogenic emissions from those 
sources in the portions of Canada and Mexico included within the 
modeling domain (the EPA did not model the contributions from Canada 
and Mexico separately);
    <bullet> Fires--combined emissions from wild and prescribed fires 
domain-wide (i.e., not by state); and
    <bullet> Offshore--combined emissions from offshore marine vessels 
and offshore drilling platforms within the modeling domain.
    The contribution modeling provided contributions to ozone from 
anthropogenic NO<INF>X</INF> and VOC emissions in each state, 
individually. The contributions to ozone from chemical reactions 
between biogenic NO<INF>X</INF> and VOC emissions were modeled and 
assigned to the ``biogenic'' category. The contributions from wildfire 
and prescribed fire NO<INF>X</INF> and VOC emissions were modeled and 
assigned to the ``fires'' category. That is, the contributions from the 
``biogenic'' and ``fires'' categories are not assigned to individual 
states nor are they included in the state contributions.
    For the Step 2 analysis, the EPA calculated a contribution metric 
that considers the average contribution on the 10 highest ozone 
concentration days (i.e., top 10 days) in 2023 using the same approach 
as the EPA used in the proposed action and in the Revised CSAPR 
Update.\80\ This average contribution metric is intended to provide a 
reasonable representation of the contribution from individual states to 
projected future year design values, based on modeled transport 
patterns and other meteorological conditions generally associated with 
modeled high ozone concentrations at the receptor. An average 
contribution metric constructed in this manner ensures the magnitude of 
the contributions is directly related to the magnitude of the ozone 
design value at each site.
---------------------------------------------------------------------------

    \80\ The use of daily contributions on the top 10 concentration 
days for calculating the average contribution metric is designed to 
be consistent with the method specified in the modeling guidance in 
terms of the number of days to use when projecting future year 
design values.
---------------------------------------------------------------------------

    The analytic steps for calculating the contribution metric for the 
2023 analytic year are as follows:
    (1) Calculate the 8-hour average contribution from each source tag 
to individual ozone monitoring site for the time period of the 8-hour 
daily maximum modeled concentrations in 2023;
    (2) Average the contributions and average the concentrations for 
the top 10 modeled ozone concentration days in 2023;
    (3) Divide the average contribution by the corresponding average 
concentration to obtain a Relative Contribution Factor (RCF) for each 
monitoring site;
    (4) Multiply the 2023 average design value by the 2023 RCF at each 
site to produce the average contribution metric values in 2023; \81\
---------------------------------------------------------------------------

    \81\ Note that a contribution metric value was not calculated 
for any receptor at which there were fewer than 5 days with model-
predicted MDA8 ozone concentrations greater than or equal to 60 ppb 
in 2023. Eliminating from the Step 2 evaluation any receptors for 
which the modeling does not meet this criterion ensures that upwind 
state contributions are based on the days with the highest ozone 
projections. This criterion is consistent with the criterion for 
projecting design values, as recommended in the EPA's modeling 
guidance. In the modeling for this final action, the monitoring site 
in Seattle, Washington (530330023), was the only receptor that did 
not meet this criterion.
---------------------------------------------------------------------------

    (5) Truncate the average contribution metric values to two digits 
to the right of the decimal for comparison to the 1 percent of the 
NAAQS screening threshold (0.70 ppb)
    The resulting contributions from each tag to each monitoring site 
in the U.S. for 2023 can be found in the docket for this final action. 
Additional details on the source apportionment modeling and the 
procedures for calculating contributions can be found in the AQM TSD. 
The EPA's response to comments on the method for calculating the 
contribution metric can be found in the RTC document for this final 
action.
    The largest contribution from each state that is the subject of 
this final action to modeled 8-hour ozone nonattainment and modeling-
based maintenance receptors in downwind states in 2023 are provided in 
Table III.C-1 of this action. The largest contribution from each state 
to the additional ``violating monitor'' maintenance-only receptors is 
provided in Table III.C-2 of this action. All states that are linked to 
one or more nonattainment or maintenance-only receptors are also linked 
to one or more violating monitor maintenance receptors, except for 
Minnesota.

  Table III.C-1--Largest Contribution by State to Downwind 8-Hour Ozone
          Nonattainment and Maintenance Receptors in 2023 (ppb)
------------------------------------------------------------------------
                                         Largest            Largest
                                    contribution to a  contribution to a
           Upwind state                  downwind           downwind
                                      nonattainment     maintenance-only
                                         receptor           receptor
------------------------------------------------------------------------
Alabama...........................               0.75               0.65
Arkansas..........................               0.94               1.21
California........................              35.27               6.31
Illinois..........................              13.89              19.09
Indiana...........................               8.90              10.03
Kentucky..........................               0.84               0.79
Louisiana.........................               9.51               5.62

[[Page 9354]]

 
Maryland..........................               1.13               1.28
Michigan..........................               1.59               1.56
Minnesota.........................               0.36               0.85
Mississippi.......................               1.32               0.91
Missouri..........................               1.87               1.39
Nevada............................               1.11               1.13
New Jersey........................               8.38               5.79
New York..........................              16.10              11.29
Ohio..............................               2.05               1.98
Oklahoma..........................               0.79               1.01
Texas.............................               1.03               4.74
Utah..............................               1.29               0.98
West Virginia.....................               1.37               1.49
Wisconsin.........................               0.21               2.86
------------------------------------------------------------------------


Table III.C-2--Largest Contribution to Downwind 8-Hour Ozone ``Violating
               Monitor'' Maintenance-Only Receptors (ppb)
------------------------------------------------------------------------
                                                              Largest
                                                           contribution
                                                           to a downwind
                      Upwind State                           violating
                                                              monitor
                                                           maintenance-
                                                           only receptor
------------------------------------------------------------------------
Alabama.................................................            0.79
Arkansas................................................            1.16
California..............................................            6.97
Illinois................................................           16.53
Indiana.................................................            9.39
Kentucky................................................            1.57
Louisiana...............................................            5.06
Maryland................................................            1.14
Michigan................................................            3.47
Minnesota...............................................            0.64
Mississippi.............................................            1.02
Missouri................................................            2.95
Nevada..................................................            1.11
New Jersey..............................................            8.00
New York................................................           12.08
Ohio....................................................            2.25
Oklahoma................................................            1.57
Texas...................................................            3.83
Utah....................................................            1.46
West Virginia...........................................            1.79
Wisconsin...............................................            5.10
------------------------------------------------------------------------

IV. Summary of Bases for Disapproval

    As explained in Section II, the EPA relies on the 4-step interstate 
transport framework to evaluate obligations under CAA section 
110(a)(2)(D)(i)(I). At proposal, the EPA used this framework to guide 
its evaluation of each state's SIP submission. While the EPA used this 
framework to maintain a nationally consistent and equitable approach to 
interstate transport, the contents of each individual state's 
submission were evaluated on their own merits, and the EPA considered 
the facts and information, including information from the Agency, 
available to the state at the time of its submission, in addition to 
more recent air quality and contribution information. Here we provide a 
brief, high level overview of the SIP submissions and the EPA's 
evaluation and key bases for disapproval. These summaries are presented 
for ease of reference and to direct the public to the most relevant 
portions of the proposals and final rule record for further 
information. The full basis for the EPA's disapprovals is available in 
relevant Federal Register notifications of proposed disapproval for 
each state, in the technical support documents informing the proposed 
and final action, and in the responses to comments in Section V and the 
RTC document. In general, except as otherwise noted, the comments and 
updated air quality information did not convince the Agency that a 
change from proposal was warranted for any state. The exceptions are 
that the EPA is deferring action at this time on the proposed 
disapprovals for Tennessee and Wyoming. Further, the EPA is finalizing 
partial approvals of prong 1 (``significant contribution to 
nonattainment'') for Minnesota and Wisconsin because they are linked 
only to maintenance-only receptors; the EPA is finalizing a partial 
disapproval with respect to prong 2 (``interference with maintenance'') 
obligations for these two states.

A. Alabama

    In the 2016v3 modeling, Alabama is projected to be linked above 1 
percent of the NAAQS to one nonattainment receptor. It is also linked 
to one violating-monitor maintenance-only receptor. Its highest-level 
contribution is 0.75 ppb to Galveston County, Texas (AQS Site ID 
481671034).\82\ A full summary of Alabama's June 21, 2022, SIP 
submission, as well as Alabama's previous submission history, was 
provided in the proposed SIP submission disapproval.\83\ In its 
submission, Alabama advocated for discounting maintenance receptors 
through use of historical data trends. The EPA finds Alabama's approach 
is not adequately justified.\84\ The EPA disagrees with Alabama's 
assessment of the 2016v2 modeling,\85\ and further responds to comments 
on model performance in Section III. The EPA disagrees with Alabama's 
arguments for application of a higher contribution threshold than 1 
percent of the NAAQS at Step 2,\86\ and further addresses the relevance 
of ``significant impact levels'' within the Prevention of Significant 
Deterioration program (``PSD SILs'') in Section V.B.6. The EPA found 
technical flaws in Alabama's back trajectory analysis.\87\ The State 
did not conduct an adequate Step 3 analysis, and the EPA identified 
several unsupported assertions in the SIP submission.\88\ Alabama also 
argued in its SIP submission that it had already implemented all cost-
effective controls. However, the State included an insufficient 
evaluation of additional emissions control opportunities to support 
such a conclusion.\89\ The EPA further addresses arguments related to

[[Page 9355]]

mobile sources in Section V.C.1.\90\ Additionally, as explained in 
Section V.B.9,\91\ reliance on prior transport FIPs such as the CSAPR 
Update is not a sufficient analysis at Step 3. The State included no 
permanent and enforceable emissions controls in its SIP submission.\92\ 
We provide further response to comments regarding Alabama's SIP 
submission in the RTC document. The EPA is finalizing disapproval of 
Alabama's interstate transport SIP submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \82\ The highest-magnitude downwind contribution from each state 
is based on the contributions to modeling-based receptors and does 
not consider the contributions to violating-monitor maintenance-only 
receptors. Each state's maximum contribution to downwind violating-
monitor maintenance-only receptors is available in the Final Action 
AQM TSD.
    \83\ 87 FR 64419-64421.
    \84\ Id. at 64421-64422.
    \85\ Id. at 64422-64423.
    \86\ Id. at 64423-64424.
    \87\ Id. at 64424-64425.
    \88\ Id. at 64425-64426.
    \89\ Id.
    \90\ See also id. at 64425-64426.
    \91\ See also id. at 64426.
    \92\ Id.
---------------------------------------------------------------------------

B. Arkansas

    In the 2016v3 modeling, Arkansas is projected to be linked above 1 
percent of the NAAQS to one nonattainment receptor and five 
maintenance-only receptors. It is also linked to seven violating-
monitor maintenance-only receptor. Its highest-level contribution is 
1.21 ppb to Brazoria County Texas (AQS Site ID 480391004). A full 
summary of Arkansas's October 10, 2019, SIP submission was provided in 
the proposed SIP submission disapproval.\93\ The EPA disagrees with 
Arkansas's arguments for application of a higher contribution threshold 
than 1 percent of the NAAQS at Step 2, and further addresses the 
relevance of PSD SILs in Section V.B.6.\94\ The EPA also found 
technical flaws in Arkansas's ``consistent and persistent'' claims and 
back trajectory analysis,\95\ and legal flaws in the state's arguments 
related to relative contribution.\96\ The State did not conduct an 
adequate Step 3 analysis.\97\ Arkansas argued in its SIP submission 
that it had already implemented all cost-effective controls. However, 
the State included an insufficient evaluation of additional emissions 
control opportunities to support such a conclusion.\98\ Further, the 
State's reliance on the cost-effectiveness thresholds in the CSAPR and 
CSAPR Update is insufficient for the more protective 2015 ozone 
NAAQS.\99\ The State included no permanent and enforceable controls in 
its SIP submission.\100\ We provide further response to comments 
regarding Arkansas's SIP submission in the RTC document. The EPA is 
finalizing disapproval of Arkansas's interstate transport SIP 
submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \93\ 87 FR 9798, 9803-9806 (February 22, 2022).
    \94\ Id. at 9806-9807.
    \95\ Id. at 9808-9809.
    \96\ Id. at 9809-9810.
    \97\ Id. at 9809-9810.
    \98\ Id. at 9810.
    \99\ Id.
    \100\ Id. at 9811.
---------------------------------------------------------------------------

C. California

    In the 2016v3 modeling, California is projected to be linked above 
1 percent of the NAAQS to eight nonattainment receptors and four 
maintenance-only receptors. It is also linked to 26 violating-monitor 
maintenance-only receptor. Its highest-level contribution is 35.27 ppb 
to the nonattainment receptor located on the Morongo Band of Missions 
Indians reservation (AQS Site ID 060651016).\101\ A full summary of 
California's October 1, 2018, SIP submission was provided in the 
proposed SIP submission disapproval.\102\ The EPA found technical and 
legal flaws in California's geographic, meteorological, wildfire, and 
trajectories analysis, and the State's arguments related to local, 
international, and non-anthropogenic emissions.\103\ The EPA further 
addresses the topic of international emissions in Section V.C.2. The 
State did not conduct an adequate Step 3 analysis.\104\ California in 
its SIP submission argued that it had already implemented all cost-
effective controls. However, California provided an insufficient 
evaluation of additional control opportunities to support such a 
conclusion.\105\ Further, the State's reliance on the cost-
effectiveness threshold in the CSAPR Update is insufficient for the 
more protective 2015 ozone NAAQS.\106\ California included no permanent 
and enforceable emissions controls in its SIP submission \107\ and 
argued that interstate transport is fundamentally different in the 
western U.S. than in the eastern U.S., to which the EPA responds in 
Section V.C.3.\108\ We provide further response to comments regarding 
California's SIP submission in the RTC document. The EPA is finalizing 
disapproval of California's interstate transport SIP submission for the 
2015 ozone NAAQS.
---------------------------------------------------------------------------

    \101\ We note that, consistent with the EPA's prior good 
neighbor actions in California, the regulatory ozone monitor located 
on the Morongo Band of Mission Indians (``Morongo'') reservation is 
a projected downwind receptor in 2023. See monitoring site 060651016 
in Table V.D-1. of this action. We also note that the Temecula, 
California, regulatory ozone monitor is a projected downwind 
receptor in 2023 and in past regulatory actions has been deemed 
representative of air quality on the Pechanga Band of Luise[ntilde]o 
Indians (``Pechanga'') reservation. See, e.g., Approval of Tribal 
Implementation Plan and Designation of Air Quality Planning Area; 
Pechanga Band of Luise[ntilde]o Mission Indians, 80 FR 18120, at 
18121-18123 (April 3, 2015); see also monitoring site 060650016 in 
Table V.D-1. of this action. The presence of receptors on, or 
representative of, the Morongo and Pechanga reservations does not 
trigger obligations for the Morongo and Pechanga Tribes. 
Nevertheless, these receptors are relevant to the EPA's assessment 
of any linked upwind states' good neighbor obligations. See, e.g., 
Approval and Promulgation of Air Quality State Implementation Plans; 
California; Interstate Transport Requirements for Ozone, Fine 
Particulate Matter, and Sulfur Dioxide, 83 FR 65093 (December 19, 
2018). Under 40 CFR 49.4(a), tribes are not subject to the specific 
plan submittal and implementation deadlines for NAAQS-related 
requirements, including deadlines for submittal of plans addressing 
transport impacts. We also note that California's maximum 
contribution to a downwind state receptor is 6.31 ppb in Yuma 
County, Arizona (AQS Site ID 040278011).
    \102\ 87 FR 31448-31452.
    \103\ Id. at 31454-31457, 31460.
    \104\ Id. at 31458-31461.
    \105\ Id. at 31458.
    \106\ Id. at 31458-31459.
    \107\ Id. at 31461.
    \108\ See also id. at 31453.
---------------------------------------------------------------------------

D. Illinois

    In the 2016v3 modeling, Illinois is projected to be linked above 1 
percent of the NAAQS to two nonattainment receptors and three 
maintenance-only receptors. It is also linked to six violating-monitor 
maintenance-only receptor. Its highest-level contribution is 19.09 ppb 
to Kenosha County, Wisconsin (AQS Site ID 550590019). A full summary of 
Illinois's May 21, 2019, SIP submission was provided in the proposed 
SIP submission disapproval.\109\ The EPA disagrees with Illinois's 
arguments for application of a higher contribution threshold than 1 
percent of the NAAQS at Step 2.\110\ The state did not conduct an 
adequate Step 3 analysis.\111\ The State included an insufficient 
evaluation of additional emissions control opportunities in its SIP 
submission.\112\ The EPA also found technical and legal flaws in 
Illinois' arguments related to ``on-the-way'' controls, participation 
in the Lake Michigan Air Directors Consortium (LADCO), and 
international contributions.\113\ The EPA further addresses the topic 
of international contribution in Section V.C.2. Further, as explained 
in Section V.B.9., states may not rely on non-SIP measures to meet SIP 
requirements, and reliance on prior transport FIPs such as the CSAPR 
Update is not a sufficient analysis at Step 3.\114\ The State included 
no permanent and enforceable controls in its SIP submission.\115\ We 
provide further response to comments regarding Illinois's SIP 
submission in the RTC document. The EPA is finalizing disapproval of 
Illinois's interstate

[[Page 9356]]

transport SIP submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \109\ Id. at 9845.
    \110\ Id. at 9852-9853.
    \111\ Id. at 9853-9855.
    \112\ Id. at 9853.
    \113\ Id. at 9853-9854.
    \114\ See also id. at 9854.
    \115\ Id. at 9855.
---------------------------------------------------------------------------

E. Indiana

    In the 2016v3 modeling, Indiana is projected to be linked above 1 
percent of the NAAQS to four nonattainment receptors and six 
maintenance-only receptors. It is also linked to 10 violating-monitor 
maintenance receptors. Its highest-level contribution is 10.03 ppb to 
Racine County, Wisconsin (AQS Site ID 551010020). A full summary of 
Indiana's November 2, 2018, SIP submission was provided in the proposed 
SIP submission disapproval.\116\ The EPA disagrees with Indiana's 
arguments for application of a higher contribution threshold than 1 
percent of the NAAQS at Step 2.\117\ The State did not conduct an 
adequate Step 3 analysis.\118\ The EPA found technical and legal flaws 
in Indiana's arguments related to ozone concentration and design value 
trends, the timing of expected source shutdowns, local emissions, 
international and offshore contributions, Indiana's portion of 
contribution, and Indiana's back trajectory analysis.\119\ The EPA 
further addresses the topic of international emissions in Section 
V.C.2. Indiana argued that it would not be cost-effective to implement 
controls on non-EGUs. However, the State included an insufficient 
evaluation of additional emissions control opportunities, for any type 
of source, to support that conclusion.\120\ The EPA also confirmed that 
EGU shutdowns identified by Indiana were included in the 2016v2 
modeling,\121\ and if they were valid and not included in the 2016v2 
modeling, then they were incorporated into the 2016v3 modeling as 
explained in Section III and the 2016v3 Emissions Modeling TSD. 
Further, in Section V.B.9., states may not rely on non-SIP measures to 
meet SIP requirements.\122\ The State included no permanent and 
enforceable emissions controls in its SIP submission.\123\ We provide 
further response to comments regarding Indiana's SIP submission in the 
RTC document. The EPA is finalizing disapproval of Indiana's interstate 
transport SIP submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \116\ Id. at 9845-9847.
    \117\ Id. at 9855-9856.
    \118\ Id. at 9857-9861.
    \119\ Id. at 9858-9861.
    \120\ Id. at 9857-9858.
    \121\ Id. at 9858-9859.
    \122\ See also id. at 9861.
    \123\ Id.
---------------------------------------------------------------------------

F. Kentucky

    In the 2016v3 modeling, Kentucky is projected to be linked above 1 
percent of the NAAQS to two nonattainment receptors and one 
maintenance-only receptor. It is also linked to four violating-monitor 
maintenance-only receptor. Its highest-level contribution based on the 
2016v3 modeling is 0.84 ppb to Fairfield County, Connecticut (AQS Site 
ID 090019003). A full summary of Kentucky's January 11, 2019, SIP 
submission was provided in the proposed SIP submission 
disapproval.\124\ Although the EPA's 2016v3 modeling indicated a 
highest-level contribution below 1 ppb, the EPA disagrees with 
Kentucky's arguments for application of a higher contribution threshold 
than 1 percent of the NAAQS at Step 2.\125\ Further, Kentucky is linked 
above 1 ppb to a violating-monitor receptor. The EPA addresses the 
relevance of the PSD SILs in Section V.B.6. The Commonwealth did not 
conduct an adequate Step 3 analysis.\126\ The EPA found technical and 
legal flaws in Kentucky's arguments related to the level and timing of 
upwind versus downwind-state responsibilities, NO<INF>X</INF> emissions 
trends and other air quality information, and back-trajectory 
analyses.\127\ The EPA also found technical and legal flaws in certain 
State-level comments submitted by Midwest Ozone Group and attached to 
Kentucky's submission, including arguments related to international 
emissions.\128\ The EPA further addresses the topics of international 
emissions in Section V.C.2. Kentucky in its SIP submission also argued 
that it had already implemented all cost-effective controls. However, 
the Commonwealth included an insufficient evaluation of additional 
emissions control opportunities to support such a conclusion.\129\ As 
explained in Section V.B.9., states may not rely on non-SIP measures to 
meet SIP requirements, and reliance on prior transport FIPs such as the 
CSAPR Update is not a sufficient analysis at Step 3.\130\ The EPA also 
confirmed in the proposed SIP submission disapproval that EGU shutdowns 
identified by Kentucky were included in the 2016v2 modeling, and yet 
Kentucky was still linked in that modeling.\131\ Kentucky in its SIP 
submission advocated for lower interstate ozone transport 
responsibility for states linked only to maintenance-only receptors. 
The EPA finds Kentucky's arguments in this regard inadequately 
supported.\132\ The Commonwealth included no permanent and enforceable 
emissions controls in its SIP submission.\133\ We provide further 
response to comments regarding Kentucky's SIP submission in the RTC 
document. The EPA is finalizing disapproval of Kentucky's interstate 
transport SIP submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \124\ 87 FR 9498, 9503-9507 (February 22, 2022).
    \125\ Id. at 9509-9510.
    \126\ Id. at 9511-9515.
    \127\ Id. at 9512-9514.
    \128\ Id. at 9508, 9515. The state also did not explain its own 
views regarding the relevance of these materials to its submission. 
Id.
    \129\ Id. at 9511-9512.
    \130\ See also id. at. 9512.
    \131\ Id. at 9511-9512.
    \132\ Id. at 9514-9515.
    \133\ Id. at 9515.
---------------------------------------------------------------------------

G. Louisiana

    In the 2016v3 modeling, Louisiana is projected to be linked above 1 
percent of the NAAQS to two nonattainment receptors and five 
maintenance-only receptors. It is also linked to 10 violating-monitor 
maintenance-only receptor. Its highest-level contribution is 9.51 ppb 
to Galveston County Texas (AQS Site ID 481671034). A full summary of 
Louisiana's November 13, 2019, SIP submission was provided in the 
proposed SIP submission disapproval.\134\ The EPA disagrees with 
Louisiana's arguments for application of a higher contribution 
threshold than 1 percent of the NAAQS and disagrees with Louisiana's 
criticisms of a 1 percent of the NAAQS contribution threshold at Step 
2.\135\ The EPA further addresses technical comments on the 1 percent 
of the NAAQS contribution threshold in Section V.B.4. Louisiana did not 
conduct an adequate Step 3 analysis.\136\ The State included an 
insufficient evaluation of additional emissions control opportunities 
in its SIP submission.\137\ The EPA also found technical flaws in 
Louisiana's ``consistent and persistent'' claims, assessment of 
seasonal weather patterns, surface wind directions, and back trajectory 
analysis.\138\ The State included no permanent and enforceable controls 
in its SIP submission.\139\ We provide further response to comments 
regarding Louisiana's SIP submission in the RTC document. The EPA is 
finalizing disapproval of Louisiana's interstate transport SIP 
submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \134\ Id. at 9811-9812.
    \135\ Id. at 9812, 9815-9816.
    \136\ Id. at 9814-9816.
    \137\ Id. at 9814. 9816.
    \138\ Id. at 9814-9816.
    \139\ Id. at 9816.

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[[Page 9357]]

H. Maryland

    In the 2016v3 modeling, Maryland is projected to be linked above 1 
percent of the NAAQS to three nonattainment receptors and one 
maintenance-only receptor. It is also linked to three violating-monitor 
maintenance receptors. Its highest-level contribution is 1.28 ppb to 
New Haven County, Connecticut (AQS Site ID 090099002). A full summary 
of Maryland's October 16, 2019, SIP submission was provided in the 
proposed SIP submission disapproval.\140\ The state did not conduct an 
adequate Step 3 analysis.\141\ The State included an insufficient 
evaluation of additional emissions control opportunities in its SIP 
submission.\142\ Further, as explained in Section V.B.9, states may not 
rely on non-SIP measures to meet SIP requirements, and reliance on 
prior transport FIPs such as the CSAPR Update is not a sufficient 
analysis at Step 3.\143\ The EPA also confirmed in the proposed SIP 
submission disapproval that state emissions controls and regulations 
identified by Maryland were generally included in the 2016v2 modeling, 
and yet Maryland was still linked in that modeling.\144\ The State 
included no permanent and enforceable controls in its SIP 
submission.\145\ We provide further response to comments regarding 
Maryland's SIP submission in the RTC document. The EPA is finalizing 
disapproval of Maryland's interstate transport SIP submission for the 
2015 ozone NAAQS.
---------------------------------------------------------------------------

    \140\ Id. at 9469.
    \141\ Id. at 9470-9473.
    \142\ Id. at 9471, 9473.
    \143\ See also id. at 9471, 9473 n.46, 9474.
    \144\ Id. at 9472-9473.
    \145\ Id. at 9473-9474.
---------------------------------------------------------------------------

I. Michigan

    In the 2016v3 modeling, Michigan is projected to be linked above 1 
percent of the NAAQS to four nonattainment receptors and six 
maintenance-only receptors. It is also linked to eight violating-
monitor maintenance receptors. Its highest-level contribution is 1.59 
to Sheboygan County, Wisconsin (AQS Site ID 551170006). A full summary 
of Michigan's March 5, 2019, SIP submission was provided in the 
proposed SIP submission disapproval.\146\ The EPA disagrees with 
Michigan's arguments for application of a higher contribution threshold 
than 1 percent of the NAAQS as well as criticisms of a 1 percent of the 
NAAQS contribution threshold at Step 2.\147\ The EPA further addresses 
technical comments on the 1 percent of the NAAQS contribution threshold 
in Section V.B.4 and addresses comments regarding the relevance of the 
PSD SILs in Section V.B.6. The State did not conduct an adequate Step 3 
analysis.\148\ Michigan argued in its SIP submission that additional 
controls would be premature and burdensome. However, the State included 
an insufficient evaluation of additional emissions control 
opportunities to support such a conclusion.\149\ The EPA found 
technical and legal flaws in Michigan's arguments related to upwind-
state obligations as to maintenance-only receptors, international 
emissions, relative contribution, apportionment, and upwind versus 
downwind-state responsibilities.\150\ The EPA further addresses the 
topics of mobile sources and international emissions in Sections V.C.1 
and V.C.2, respectively. The EPA also confirmed in the proposed SIP 
submission disapproval that the EGU retirements identified by Michigan 
as not included in the 2011-based EPA modeling, as well as various 
Federal rules, were included in the 2016v2 modeling, and yet Michigan 
was still linked in that modeling.\151\ The State included no permanent 
and enforceable emissions controls in its SIP submission.\152\ We 
provide further response to comments regarding Michigan's SIP 
submission in the RTC document. The EPA is finalizing disapproval of 
Michigan's interstate transport SIP submission for the 2015 ozone 
NAAQS.
---------------------------------------------------------------------------

    \146\ Id. at 9847-9848.
    \147\ Id. at 9861-9862.
    \148\ Id. at 9863-9867.
    \149\ Id. at 9864.
    \150\ Id. at 9864-9867.
    \151\ Id. at 9866.
    \152\ Id. at 9867.
---------------------------------------------------------------------------

J. Minnesota

    In the 2016v3 modeling, Minnesota is projected to be linked above 1 
percent of the NAAQS to one maintenance-only receptor. It is not linked 
to a violating-monitor maintenance-only receptor. Its highest-level 
contribution is 0.85 ppb to Cook County, Illinois (AQS Site ID 
170310001). A full summary of Minnesota's October 1, 2018, SIP 
submission was provided in the proposed SIP submission 
disapproval.\153\ Because Minnesota was not projected to be linked to 
any receptor in 2023 in the EPA's 2011-based modeling, comments argued 
that the EPA must approve the SIP submission and not rely on new 
modeling. The EPA responds to these comments in Section V.A.4. Although 
the EPA acknowledges that Minnesota's Step 3 analysis was insufficient 
in part because the State assumed it was not linked at Step 2, this is 
ultimately inadequate to support a conclusion that the State's sources 
do not interfere with maintenance of the 2015 ozone NAAQS in other 
states in light of more recent air quality analysis.\154\ The State 
included no permanent and enforceable emissions controls in its SIP 
submission.\155\ We provide further response to comments regarding 
Minnesota's SIP submission in the RTC document. Although EPA proposed 
to disapprove both prong 1 and prong 2 of Minnesota's SIP submission, 
the present record, including the results of the 2016v3 modeling, 
indicates that Minnesota is not linked to any nonattainment 
receptors.\156\ The EPA is finalizing a partial approval of Minnesota's 
interstate transport SIP submission for the 2015 ozone NAAQS as to 
prong 1 and a partial disapproval as to prong 2.
---------------------------------------------------------------------------

    \153\ Id. at 9867.
    \154\ Id. at 9868-9869.
    \155\ Id. at 9869.
    \156\ The EPA received a comment that it would be arbitrary and 
capricious for the EPA to finalize a full disapproval of Tennessee's 
good neighbor SIP submission (both prong 1 and prong 2) if EPA 
concluded the state is linked only to a maintenance-only receptor 
(prong 2). EPA is deferring final action on Tennessee's good 
neighbor SIP submission, but in reviewing linkages in the 2016v3 
modeling we determined that Minnesota and Wisconsin are not linked 
above 1 percent of the NAAQS to any nonattainment receptors (prong 
1) but are linked to maintenance-only receptors (prong 2); these 
states are receiving partial approvals and partial disapprovals.
---------------------------------------------------------------------------

K. Mississippi

    In the 2016v3 modeling, Mississippi is projected to be linked above 
1 percent of the NAAQS to one nonattainment receptor and two 
maintenance-only receptors. It is also linked to eight violating-
monitor maintenance receptors. Its highest-level contribution is 1.32 
ppb to Galveston County, Texas (AQS Site ID 481671034). A full summary 
of Mississippi's September 3, 2019, SIP submission was provided in the 
proposed SIP submission disapproval.\157\ In its submission, 
Mississippi advocated for discounting receptors through use of 
historical data trends. The EPA finds Mississippi's approach is not 
adequately justified.\158\ In the 2011-based modeling, Mississippi's 
contribution to receptors was above 1 percent of the NAAQS, but below 1 
ppb. The EPA disagrees with Mississippi's arguments for application of 
a higher contribution threshold than

[[Page 9358]]

1 percent of the NAAQS at Step 2,\159\ and further addresses the 
relevance of the PSD SILs in Section V.B.6. The state did not conduct a 
Step 3 analysis.\160\ The State included no evaluation of additional 
emissions control opportunities in its SIP submission.\161\ The State 
included no permanent and enforceable emissions controls in its SIP 
submission.\162\ We provide further response to comments regarding 
Mississippi's SIP submission in the RTC document. The EPA is finalizing 
disapproval of Mississippi's interstate transport SIP submission for 
the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \157\ 87 FR 9554.
    \158\ Id. at 9556.
    \159\ Id. at 9557.
    \160\ Id. at 9558.
    \161\ Id.
    \162\ Id.
---------------------------------------------------------------------------

L. Missouri

    In the 2016v3 modeling, Missouri is projected to be linked above 1 
percent of the NAAQS to one nonattainment receptor and three 
maintenance-only receptors. It is also linked to five violating-monitor 
maintenance receptors. Its highest-level contribution is 1.87 ppb to 
Sheboygan County, Wisconsin (AQS Site ID 551170006). A full summary of 
Missouri's June 10, 2019, SIP submission was provided in the proposed 
SIP submission disapproval.\163\ In its submission, Missouri advocated 
for discounting certain maintenance receptors through use of historical 
data trends. The EPA finds Missouri's approach is not adequately 
justified.\164\ The EPA disagrees with Missouri's arguments for 
application of a higher contribution threshold than 1 percent of the 
NAAQS at Step 2, and further addresses comments regarding the August 
2018 memorandum in Section V.B.7.\165\ The State did not conduct a Step 
3 analysis.\166\ The State included no evaluation of additional 
emissions control opportunities in its SIP submission.\167\ The State 
included no permanent and enforceable emissions controls in its SIP 
submission.\168\ We provide further response to comments regarding 
Missouri's SIP submission in the RTC document. The EPA is finalizing 
disapproval of Missouri's June 10, 2019, interstate transport SIP 
submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \163\ Id. at 9538-9540.
    \164\ Id. at 9540-9541.
    \165\ See also id. at 9541-9544.
    \166\ Id. at 9544.
    \167\ Id.
    \168\ We note that in comments, Missouri indicated its intent to 
submit a new SIP submission to the EPA, which would re-evaluate good 
neighbor obligations based on its 2016v2 linkages and provide an 
analysis that would include emissions reductions requirements. The 
EPA received this submission on November 1, 2022. The EPA explains 
its consideration of this new submission as separate SIP submission 
in the RTC document for this final action.
---------------------------------------------------------------------------

M. Nevada

    In the 2016v3 modeling, Nevada is projected to be linked above 1 
percent of the NAAQS to three nonattainment receptors and one 
maintenance-only receptor. It is also linked to one violating-monitor 
maintenance receptor. Its highest-level contribution is 1.13 ppb to 
Weber County, Utah (AQS Site ID 490570002). A full summary of Nevada's 
October 1, 2018, SIP submission was provided in the proposed SIP 
submission disapproval.\169\ Because Nevada was not projected to be 
linked to any receptor in 2023 in the EPA's 2011-based modeling, 
commenters on the proposed SIP submission disapproval argued that the 
EPA must approve the SIP submission and not rely on new modeling. The 
EPA responds to these comments in Section V.A.4. The EPA also responds 
to technical criticisms of the 1 percent of the NAAQS contribution 
threshold and the relevance of the PSD SILs in Section V.B.4 and in 
Section V.B.6, respectively. The State did not conduct a Step 3 
analysis.\170\ The State included no evaluation of additional emissions 
control opportunities in its SIP submission.\171\ The State included no 
additional emissions controls in its SIP submission.\172\ We provide 
response to comments specific to interstate transport policy in the 
western U.S. in Section V.C.3. We provide further response to comments 
regarding Nevada's SIP submission in the RTC document. The EPA is 
finalizing disapproval of Nevada's interstate transport SIP submission 
for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \169\ 87 FR 31485, 31492-31493 (May 24, 2022).
    \170\ Id. at 31493.
    \171\ Id.
    \172\ Id.
---------------------------------------------------------------------------

N. New Jersey

    In the 2016v3 modeling, New Jersey is projected to be linked above 
1 percent of the NAAQS to three nonattainment receptors and one 
maintenance-only receptor. It is also linked to three violating-monitor 
maintenance receptors. Its highest-level contribution is 8.38 ppb to 
Fairfield County, Connecticut (AQS Site ID 090019003). A full summary 
of New Jersey's May 13, 2019, SIP submission was provided in the 
proposed SIP submission disapproval.\173\ The State did not conduct an 
adequate Step 3 analysis.\174\ New Jersey argued in its SIP submission 
that existing controls were sufficient to address the State's good 
neighbor obligations. However, the State included an insufficient 
evaluation of additional emissions control opportunities to support 
such a conclusion.\175\ The State's reliance on the cost-effectiveness 
threshold in the CSAPR Update is insufficient for a more protective 
NAAQS.\176\ The State included no permanent and enforceable emissions 
controls in its SIP submission.\177\ We provide further response to 
comments regarding New Jersey's SIP submission in the RTC document. The 
EPA is finalizing disapproval of New Jersey's interstate transport SIP 
submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \173\ Id. at 9490-9491.
    \174\ Id. at 9496.
    \175\ Id.
    \176\ Id.
    \177\ Id. at 9496-9497.
---------------------------------------------------------------------------

O. New York

    In the 2016v3 modeling, New York is projected to be linked above 1 
percent of the NAAQS to three nonattainment receptors and one 
maintenance-only receptor. It is also linked to two violating-monitor 
maintenance receptors. Its highest-level contribution is 16.10 ppb to 
Fairfield County, Connecticut (AQS Site ID 090010017). A full summary 
of New York's September 25, 2018, SIP submission was provided in the 
proposed SIP submission disapproval.\178\ The state did not conduct an 
adequate Step 3 analysis.\179\ New York argued in its SIP submission 
that existing controls were sufficient to address the State's good 
neighbor obligations. However, the state included an insufficient 
evaluation of additional emissions control opportunities to support 
such a conclusion.\180\ The State's reliance on the cost-effectiveness 
threshold in the CSAPR Update is insufficient for the more protective 
2015 ozone NAAQS.\181\ The State included no permanent and enforceable 
emissions controls in its SIP submission.\182\ We provide further 
response to comments regarding New York's SIP submission in the RTC 
document. The EPA is finalizing disapproval of New York's interstate 
transport SIP submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \178\ Id. at 9489-9490.
    \179\ Id. at 9492-9494.
    \180\ Id. at 9493.
    \181\ Id. at 9493-9494.
    \182\ Id. at 9494-9495.
---------------------------------------------------------------------------

P. Ohio

    In the 2016v3 modeling, Ohio is projected to be linked above 1 
percent of the NAAQS to four nonattainment receptors and five 
maintenance-only

[[Page 9359]]

receptors. It is also linked to nine violating-monitor maintenance 
receptors. Its highest-level contribution is 2.05 ppb to Fairfield 
County, Connecticut (AQS Site ID 090019003). A full summary of Ohio's 
September 28, 2018, SIP submission was provided in the proposed SIP 
submission disapproval.\183\ In its submission, Ohio advocated for use 
of the Texas Commission on Environmental Quality (TCEQ)'s definition of 
maintenance receptors. The EPA finds that TCEQ's definition is legally 
and technically flawed,\184\ and as a result Ohio's approach is also 
not adequately justified.\185\ The EPA further evaluates TCEQ's 
technical arguments in a TSD prepared by regional modeling staff.\186\ 
The EPA disagrees with Ohio's arguments for application of a higher 
contribution threshold than 1 percent of the NAAQS at Step 2.\187\ The 
EPA responds to technical criticisms of the 1 percent of the NAAQS 
contribution threshold in Section V.B.4. The State did not conduct an 
adequate Step 3 analysis.\188\ The State included an insufficient 
evaluation of additional emissions control opportunities in its SIP 
submission.\189\ The EPA found technical deficiencies in Ohio's 
unsubstantiated claims that emissions are overestimated.\190\ The EPA 
also confirmed in the proposed SIP submission disapproval that several 
EGU and non-EGUs identified by Ohio were included in the 2016v2 
modeling, and yet Ohio was still linked in that modeling.\191\ The EPA 
summarizes the emissions inventories used in the 2016v3 modeling in 
Section III.A. Further, as explained in Section V.B.9, states may not 
rely on non-SIP measures to meet SIP requirements, and reliance on 
prior transport FIPs such as the CSAPR Update is not a sufficient 
analysis at Step 3.\192\ The EPA finds legal flaws and deficiencies in 
Ohio's arguments related to upwind versus downwind-state 
responsibilities, the role of international emissions, relative 
contribution, and overcontrol.\193\ The EPA discusses international 
emissions in Section V.C.2. The EPA disagrees with Ohio's arguments 
related to mobile sources.\194\ We further address this topic in 
Section V.C.1. Ohio also argued in its SIP submission that it had 
already implemented all cost-effective controls. However, the state 
included no evaluation of additional emissions control opportunities to 
support such a claim.\195\ Further, the State's reliance on the cost-
effectiveness threshold in the CSAPR Update is insufficient for the 
more protective 2015 ozone NAAQS.\196\ The State included no permanent 
and enforceable emissions controls in its SIP submission.\197\ We 
provide further response to comments regarding Ohio's SIP submission in 
the RTC document. The EPA is finalizing disapproval of Ohio's 
interstate transport SIP submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \183\ Id. at 9849-9851.
    \184\ Id. at 9826-9829.
    \185\ Id. at 9869-9870.
    \186\ 2015 8-Hour Ozone Transport SIP Proposal TSD, in Docket ID 
No. EPA-R06-OAR-2021-0801 (hereinafter Evaluation of TCEQ Modeling 
TSD).
    \187\ Id. at 9871.
    \188\ Id. at 9871-9875.
    \189\ Id. at 9871-9875.
    \190\ Id. at 9872.
    \191\ Id.
    \192\ See also id. at 9874-9875.
    \193\ Id. at 9873-9874.
    \194\ Id.
    \195\ Id. at 9872-9873.
    \196\ Id. at 9874.
    \197\ Id. at 9875.
---------------------------------------------------------------------------

Q. Oklahoma

    In the 2016v3 modeling, Oklahoma is projected to be linked above 1 
percent of the NAAQS to one nonattainment receptor and one maintenance-
only receptor. It is also linked to eight violating-monitor maintenance 
receptors. Its highest-level contribution is 1.01 ppb to Denton County, 
Texas (AQS Site ID 481210034). A full summary of Oklahoma's October 25, 
2018, SIP submission was provided in the proposed SIP submission 
disapproval.\198\ In its submission, Oklahoma advocated for use of 
TCEQ's definition of maintenance receptors and modeling to discount 
receptors in Texas. The EPA finds that TCEQ's definition is legally and 
technically flawed \199\ and, as a result, Oklahoma's approach is also 
not adequately justified.\200\ The EPA further evaluates TCEQ's 
technical arguments in the EPA Region 6 2015 8-Hour Ozone Transport SIP 
Proposal TSD (Evaluation of TCEQ Modeling TSD) prepared by regional 
modeling staff.\201\ Comments argued against the use of updated 
modeling where linkages in the EPA's 2011-based modeling and later 
iterations of EPA modeling differ. The EPA addressed the change in 
identified linkages between the 2011-based modeling and the 2016v2 
modeling in the proposed SIP disapproval,\202\ and further responds to 
comments on the use of updated modeling in Section V.A.4. The EPA 
disagrees with Oklahoma's arguments for application of a higher 
contribution threshold than 1 percent of the NAAQS at Step 2 \203\ and 
further addresses comments regarding the relevance of the PSD SILs in 
Section V.B.6. The State did not conduct an adequate Step 3 
analysis.\204\ Oklahoma argued in its SIP submission that it had 
already implemented all cost-effective controls. However, the State 
included an insufficient evaluation of additional emissions control 
opportunities to support such a conclusion.\205\ As explained in 
Section V.B.9, states may not rely on non-SIP measures to meet SIP 
requirements, and reliance on prior transport FIPs such as the CSAPR 
Update is not a sufficient analysis at Step 3.\206\ Further, the 
State's reliance on the cost-effectiveness threshold in the CSAPR 
Update is insufficient for the more protective 2015 ozone NAAQS.\207\ 
The EPA finds legal flaws in Oklahoma's argument related to collective 
contribution.\208\ The State included no permanent and enforceable 
emissions controls in its SIP submission.\209\ We provide further 
response to comments regarding Oklahoma's SIP submission in the RTC 
document. The EPA is finalizing disapproval of Oklahoma's interstate 
transport SIP submission for the 2015 ozone NAAQS.
---------------------------------------------------------------------------

    \198\ Id. at 9816-9818.
    \199\ Id. at 9826-9829.
    \200\ Id. at 9820-9822.
    \201\ Evaluation of TCEQ Modeling TSD in Docket ID No. EPA-R06-
OAR-2021-0801.
    \202\ 87 FR 9823.
    \203\ Id. at 9819.
    \204\ Id. at 9822-9824.
    \205\ Id. at 9822-9824.
    \206\ See also id. at. 9822-9823.
    \207\ Id.
    \208\ Id. at 9823.
    \209\ Id. at 9824.
---------------------------------------------------------------------------

R. Texas

    In the 2016v3 modeling, Texas is projected to be linked above 1 
percent of the NAAQS to one nonattainment receptor and nine 
maintenance-only receptors. It is also linked to ten violating-monitor 
maintenance-only receptor. Its highest-level contribution is 4.74 ppb 
to Dona Ana County, New Mexico (AQS Site ID 350130021). A full summary 
of Texas's August 17, 2018, SIP submission was provided in the proposed 
SIP submission disapproval,\210\ and additional details were provided 
in the Evaluation of TCEQ Modeling TSD. The EPA identified several 
technical flaws in TCEQ's modeling and analysis of modeling 
results.\211\ In its submission, Texas advocated for use of its own 
definition of maintenance receptors and modeling. The EPA finds Texas's 
approach inadequately justified and

[[Page 9360]]

legally and technically flawed.\212\ The EPA further evaluated TCEQ's 
technical arguments in the Evaluation of TCEQ Modeling TSD. In comment 
on the proposal, Texas pointed to differences in linkages in the EPA's 
2011-based modeling and 2016v2 modeling. The EPA addressed the change 
in identified linkages between the 2011-based modeling and the 2016v2 
modeling in the proposed SIP submission disapproval,\213\ and further 
responds to comments on the use of updated modeling in Section V.A.4. 
The State did not conduct an adequate Step 3 analysis.\214\ The State 
included an insufficient evaluation of additional emissions control 
opportunities in its SIP submission.\215\ The EPA found technical flaws 
in Texas's arguments related to ``consistent and persistent'' claims 
and its other assessments, including analysis of back 
trajectories.\216\ The State included no permanent and enforceable 
emissions controls in its SIP submission.\217\ We provide furthe

[…truncated; see source link]
Indexed from Federal Register on February 13, 2023.

This is legal information, not legal advice. Laws vary by jurisdiction and change frequently. Always verify current law with official sources and consult a licensed attorney in your jurisdiction for advice on your specific situation.