# dep

west virginia department of environmental protection
Executive Office 601 57th ST SE Charleston , WV 24304

Mr. Shawn M. Garvin (3RAOO) Regional Administrator US EPA Region 3 1650 Arch Street Philadelphia , PA 19103-2029 August 5, 2013 Earl Ray Tomblin, Governor Randy C. Huffman , Cabinet Secretary www

. dep

.wv .gov

Re: Redesignation Request and Maintenance Plan for the West Virginia Portion ofthe Martinsburg-Hagerstown, WV-MD 1997 PM2

. s Nonattainment Area

Dear Administrator Garvin:

The State of West Virginia is requesting that the EPA redesignate the West Virginia portion of the Martinsburg-Hagerstown, WV-MD 1997 PM 25 Nonattainment Area to attainment pursuant to the provisions of the Clean Air Act, section 107. The State is also requesting that EPA concurrently approve the associated maintenance plan as a revision to the State Implementation Plan (SIP) , meeting the requirements of Clean Air Act, section 175A, which demonstrates that the area will continue to meet the 1997 PM 25 air quality standards for at least ten more years. The State of West Virginia is additionally requesting approval of the 2007 base year inventory as meeting the requirements under Clean Air Act Section 172(c)(3).

The requests are detailed in the enclosed hardcopy: Redesignation Request and Maintenance Plan for the West Virginia Portion of the Martinsburg-Hagerstown , WV-MD 1997 PM 2
. 5 Nonattainment Area and the supporting documentation is provided in electronic format, on the enclosed compact discs. We certify that the electronic copies include exact duplicates of the hard copy. The electronic copies also furnish additional information which has not been presented in hardcopy form. We certify that the opportunity for a public hearing required by 40 CFR §51.1 02(a) was offered in accordance with the applicable state laws and the requirements of 40 CFR §51.102(d). EPA and the state ofMaryland
were notified at the beginning of the public comment period. Please contact John Benedict, Director, Division of Air Quality at (304) 926-0462, if you have any questions or need additional information.

Enclosures

cc: Diana Esher (3APOO) John Benedict

# ~ Cabinet Secretary

Promoting a healthy environment.w e s t v i r g i n i a d e p a r t m e n t o f e n v i r o n m e n t a l p r o t e c t i o n



# RED ESIG NA TION R EQU EST

AN D MA IN TENA NC E PLA N FORTHE WES T V IR GIN IA PO RTI ON

O F TH E MA RTI NS BUR G- HA GER STO WN , W V- MD

2.5 

# 19 97 PM N ON ATTA IN MEN T A REA

FI NA L Au gu st 2 01 3

Prom oting a hea lthy environm ent

.Pag e intentionally left blank.

Page iiTabl e of Contents

I

. I NTRODUCTI ON.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 1 A. Request.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 1 B. Ba ckground.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 1 C. Geographic Desc ription.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 2

I I

. REDESI GNATI ON CRI TERIA.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 3

2 .5 A. The Mar

tinsburg Area

has attaine d the 1997 PM Standard.

. . . . . . . . . . . . . . . . . Pag e 3 B. The Mar

tinsburg Area

has a F ully

Approve d SI P Under Sec tion 110(k) of the CAA

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 8 C. The Mar

tinsburg Area ’s Air Qua lity Improvement is Due to Per manent and E nforc eable Emissions R eductions.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 9 D. The State ha s Deve loped a Ma intenancePlan for the Ma rtinsburgAre a Which Ensures

2 .5 Attainment of the 1997 PM Standard for at least 10 Ye ars.
. . . . . . . . . . . . . . . . . Pag e 9 E. The Mar

tinsburg Area

Has Met All Releva

nt Requirements under

CAA Section 110 and Part D.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 9 1. Section 110(a) require ments.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 9 2. Section 172(c) require ments.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 10 3. Conformity

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 10

I I I

. MAI NTENAN CE PLAN.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 11

2 .5 A. PM Emissions Demonstrations.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 15

x B. NO Emissions Demonstrations.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 16

2 C. SO Emissions Demonstrations.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 17

3 D. NH Emissions Demonstrations.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 18 E. VOC Emissions Demonstrations.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 19

2 .5 x 2 3 F. Summary

of PM , NO , SO , NH and VOC Emission Reductions.

. . . . . . . . . . . Pag e 20 G. Air Qua lity

Improvement is B ased on Per manent and E nforc eable Emission R eductions

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 21 H. Emissions Tracking

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 22

IV. TRANSPORTATI ON ANA LYSI S.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 23 A. Onroa d Emission Est imations.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 23 1. Ba ckground.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 23 2. Highway

Emissions.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 23 3. Analy sis Methodology and Data I

nputs.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 24 B. Desc ription of Input Data.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 26 1. Roadway

Data.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 27 2. Other SupportingTraf fic Data.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 29 3. Vehicle Class Data.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 30 4. Vehicle Ag es.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 31 5. Vehicle Population Data.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 31
Page ii i 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n6. Environmental and F uel Data

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 31 7. Other V ehicle T echnology and Control Strategy

Data.

. . . . . . . . . . . . . . . . . . Pag e 31 C. Analy sis Methodology

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 32 1. VMT Prepa

ration.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 32 2. Speed Estimation .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 35 3. MOVES Runs.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 37 D. Motor Vehicle Emission Budg ets (MVEB s).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 40

x 1. NO MVEB s.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 41

2 .5 2. Direc t PM MVEB s.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 42 3. Summary

of Adopted MVE Bs.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 43
V. CONTROLMEASURES AND REGULATI ONS.

. . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 44 A. Reasonably

Available Control Mea sures (RACM) a nd Reasonably

Available Control Tec hnology

(RACT).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 44 B. Inventory

of Ac tual Emissions.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 45

2 .5 C. Evidencethat control mea sures re quired in past PM SI P revisions have be en fully implemented..

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 45

x 1. NO SI P Call, C AIR and CSAPR

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 45 2. Tier I IEmission S tandards for Ve hicles and G asoline Sulfur Standards.

. . . . Pag e 46 3. Hea vy-Duty Diesel Eng ines.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 47 4. Clean Air Non- road D iesel Rule.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 47 5. MACT Regulations.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 47 D. Assuranc e that existi ngcontrol mea sures will rema in in effe ct.

. . . . . . . . . . . . . . . Pag e 49
VI

. SUPP L EMENTAL MODEL I

NG ANA LYSES.

. . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 50 A. EPA Modeling f

or the Cross State Air Pollution Rule (F inal Transpor t Rule).

. . . Pag e 50 B. EPA Modeling f

or Proposed Tr ansport Rule 2010.

. . . . . . . . . . . . . . . . . . . . . . . . Pag e 52

2 .5 C. VI STAS/AS I P Emiss ions and Air Qua lity Modelingto Support P M and 8-hour Ozone State Implementation Plans.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 53
VI I

. CONTI

NGENCY MEASURES.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 55 A. Maintenanc e Plan Review.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 55 B. Correc tive Actions.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 55 1. WarningL evel Response

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 55 2. Action L evel Response

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 55 3. Control Measure Selection and Implementation.

. . . . . . . . . . . . . . . . . . . . . . . Pag e 56 C. Potential Cont inge ncy Measur es.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 56

2 .5 2 x D. PM , SO , and NO source s potentially subject to future additional control re quirements.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 56
VI I I

. PUBL I C PARTI CI PATI ON..

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 57

IX. CONCLUSI ONS.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 57

Page iv 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nList of Tabl es

2 .5 Table 1: Mar

tinsburg N onattainment Are a De sign V alues for the 1997 Annual a

nd 24-hr PM NAAQS.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 4

2 x Table 2: SO and NO EGU Emissions 2002 through 2011.

. . . . . . . . . . . . . . . . . . . . . . . Pag e 12

2 .5 Table 3: B erke ley

County , WV PM Emission Inventory Totals for 2005, 2007, 2017 a nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 15

2 .5 Table 4: Washing ton County , MD PM Emission Inventory Totals for 2007, 2017 a

nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 15

2 .5 Table 5: Mar

tinsburg N onattainment Are a PM Emission Inventory Totals for 2007, 2017 a

nd 2025 (tpy ) .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 16

x Table 6: B erke ley

County , WV NO Emission Inventory Totals for 2005, 2007, 2017 a nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 16

x Table 7: Washing ton County , MD NO Emission Inventory Totals for 2007, 2017 a

nd 2025 (tpy

)

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 16

x Table 8: Mar

tinsburg N onattainment Are a NO Emission Inventory Totals for 2007, 2017 a

nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 17

2 Table 9: B erke ley

County , WV SO Emission Inventory Totals for 2005, 2007, 2017 a nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 17

2 Table 10: Washing ton County , MD SO Emission Inventory Totals for 2007, 2017 a

nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 17

2 Table 11: Mar

tinsburg N onattainment Are a SO Emission Inventory Totals for 2007, 2015 a

nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 18

3 Table 12: B erke ley

County , WV NH Emission Inventory Totals for 2005, 2007, 2017 a nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 18

3 Table 13: Washing ton County , MD NH Emission Inventory Totals for 2007, 2017 a

nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 18

3 Table 14: Mar

tinsburg N onattainment Are a NH Emission Inventory Totals for 2007, 2017 a

nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 19 Table 15: B erke ley

County , WV VOC Emissi on Inventory Totals for 2005, 2007, 2017 a nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 19 Table 16: Washing ton County , MD VOC Emission Inventory Totals for 2007, 2017 a

nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 19 Table 17: Mar

tinsburg N onattainment Are a VOC Emission Inventory Totals for 2007, 2017 a

nd 2025 (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 20 Table 18: West Virg inia Portion of the MartinsburgAre a Comparison of 2007 attainment year and 2017 and 2025 projected e mission esti mates (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . Pag e 20 Table 19: Mar

yland Portion of the MartinsburgAre a Comparison of 2007 attainment year and 2017 and 2025 proje cted e mission esti mates (tpy ).

. . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 20 Table 20: Mar

tinsburg Area

Comparison of 2007 attainment year and 2017 and 2025 projected emission estimates (tpy).

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 21 Table 21: Summary

of Highway

Emissions Inventory

. . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 24 Table 22: De mogr aphic Growth Assumptions t o the Travel Model.

. . . . . . . . . . . . . . . . . Pag e 29 Table 23: MOVE S Source Ty pes and H PMS Vehicle Groups.

. . . . . . . . . . . . . . . . . . . . . Pag e 30 Table 24: MOVE S Run Data Checklist.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 38
Page v 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nTable 25: Perc entag e of Charleston Emissions Attributable to Mobile Sources in 2007, 2017 and

2025.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 39

x Table 26: B erke ley

County (WV) NO Emission Inventory Totals, Onroa d (Highway ) Emissions and Origina l Safety

Marg ins for 2017 and 2025 ( tpy).

. . . . . . . . . . . . . . . . . . . . . . . . . Pag e 41

x Table 27: B erke ley

County (WV) NO MVEB s and RemainingSafety Marg ins

x After Reallocation from the Orig inal Safety Marg ins into the NO MVEB s.
. . . . . . . Pag e 41

2 .5 Table 28: B erke ley

County (WV) PM Emission Inventory Totals, Onroa d (Highway ) Emissions and Orig inal Safety Marg ins for 2018 and 2025 ( tpy).

. . . . . . . . . . . . . . . . Pag e 42

2 .5 Table 29: B erke ley

County (WV) PM MVEB s and RemainingSafety Marg ins

2 .5 After Reallocation from the Orig inal Safety Marg ins into the PM MVEB s.
. . . . . . . Pag e 42

2 .5 Table 30: CSAPR Annual PM Design Values ( μg/m3)..

. . . . . . . . . . . . . . . . . . . . . . . . Pag e 51 Table 31: Proposed Tr ansport Rule ModelingResults from EPA - 2010.

. . . . . . . . . . . . . Pag e 52 Table 32: VI STAS/AS I P 2009, 2012 and 2018 ModelingResults (with CAI R).

. . . . . . . Pag e 54

Page vi 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nList of F igures Figure 1: Map of

the Martinsburg -Ha g erstown, WV-MD nonattainment are a and monitor locations .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 4

2 .5 Figure 2: West Virg inia PM Annual De sign V alues, 1999-2001 thr ough 2009-2011..

. . Pag e 6

2 .5 Figure 3: Mar

yland PM Annual De sign V alues, 1999-2001 thr ough 2007-2009..

. . . . . . Pag e 7

2 .5 Figure 4: PM Annual Mea n National Tre nds.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 8 Figure 5. L ocal Data Inputs Used for E missions Inventory

. . . . . . . . . . . . . . . . . . . . . . . . . Pag e 25 Figure 6. Emission Calculation Process.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 26 Figure 7. Examples of Ke y MOVES Input Data.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 27 Figure 8. H EP Regiona l Trave l Demand Mode l.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 28 Figure 9. PPSUI TE Speed/Emission Estim ation Procedur e.
. . . . . . . . . . . . . . . . . . . . . . . Pag e 34

x Figure 10. Emission Fa ctor vs. Speed V aria nces (NO ).

. . . . . . . . . . . . . . . . . . . . . . . . . . Pag e 35

Page vii 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nPag e intentionally left blank.

Page viii 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nList of Append ices

Appendix A: Air MonitoringData.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e A - 1 Appendix B: Be rkele y

County , West Virginia E missions Inventory

. . . . . . . . . . . . . . Pag e B - 1 Appendix C : Be rkele y

County , West Virginia O n-Road Mobile Emissions Inventory Documentation.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e C - 1 Appendix D: Washington County , Maryland Emissions Inventory

. . . . . . . . . . . . . . . Pag e D - 1 Appendix E: MARAMA Docume ntation for Washing ton County , MD Inventory

. . . Pag e E - 1 Appendix F: Washington County , Maryland On-Road Mobile Emissions Inventory

Documentation.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e F - 1 Appendix G: Public Participation.

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Pag e G - 1

Page ix 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nPag e intentionally left blank.

Page x 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nREDESIGNATION REQUEST AND MAINTENANCE P LAN F OR THE WE ST

VIRG INIA P ORTION OF THE MARTINSBURG- HAGERSTOWN, WV-M D

2 .5 1997 P M NONATTAINMENT AREA

I. INTRODUCTION

2 .5 The Martinsburg -Ha g erstown, WV-MD PM nonattainm e nt a r e a is a multi- s ta

te nonattainment are a, comprising Be rkele y County in West Vi rgi nia, and Washington County in Mary land. The are a

2 .5 monitored attainment of the 1997 PM standard with a design value for 2006-2008 of 14.9 μg/m , 3 2 0 0 7 -2 0 0 9 of 14.0 μg/m , 2008-2010 of 12.9 μg/m , 2009-2011 of 11.8 μg/m , and 2010-2012 of 3 3 3 11.6 μg/m

. T h e S t at e o f West Virg inia here in reque sts rede signation by the United States

3

2 .5 Environmental Protection Agen cy of Be rkele y to attainment relative to the 1997 PM National Ambient Air Quality Standard. The State of M aryl an d als o plans to reque st rede signation of

2 .5 Washington County , Mary land to attainment relative to the 1997 PM National Ambient Air Quality Standard.
A. Request
The S tate of West Virg inia is requesting that the EP A redesignate the West Virg inia portion of the

2 .5 Martins b urg -Ha g erstown, WV-MD 1997 PM Nonattainment Are a to attainment pursuant to the provisions of the Clean Air Act, section 107. The S t at e is also reque sting that EPA concur rently ap p ro v e the associate d maintenanc e plan as a revision to the State Implementation Plan (SI P ), meeting the require ments of Clean Air Act, section 175A, which demonstrates th at th e ar ea will

2 .5 continue to meet the c urre nt PM air qua lity standards f

or at lea st ten more year s.
The State of West Virg inia is also reque sting approva l of the 2007 base year inventory as meeting the require ments under Clea

n Air Ac t Section 172(c)( 3).

B. Background
The Clean Air Act (CAA) require s are as failing to meet a National Ambient Air Qual i ty S t an dard (NAA QS) to develop State Implementation Plans (SI Ps) to expeditious ly attain and maintain the standard. T he EPA revised the NAAQS for particulate matter in J uly 1997. It replac ed the e x isting

1 0 2 .5 1 0 PM standard with a h ealth based PM standard and retained the PM standard as a “coa rse”

2 .5 standard protec ting welfa re. The 1997 PM s t an d ar d s include an annual standard set at 15.0

2 .5 micrograms per cubic meter (μg/m ), based on the 3-year aver ag e of ann u al m ea n PM 3
conce ntrations and a 24-hour standard of 65 μg/m , based on the 3-year averag e of the 98 perc entile 3 t h of 24-hour

conce ntrations.
The revised NAAQS wer e leg ally challeng ed in the U.S. Court of Appea ls for the Di s tri ct of Columbi a Circuit (D.C. Circuit). On May 14, 1999, the D.C. Circuit rema nded, without vacatur, the
s t an d ard back to EPA. The rema nd did not question the level at which EPA set the standards but
ra ther the constitutionality of the CAA provision that authorizes EPA to set national air qu al i ty standards. EPA reque sted a rehe aring which the D.C. Circuit denied. There fore , in Dec ember 1999, EPA appea led the D.C. Circuit decision to the U.S. Supreme Court. The U.S. Supreme Court issued
a decision on Februar

y 27, 2001 that unanimously aff irmed the constitutionality of the CAA provision
Page 1 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nbut did rema nd several other issues back to the D.C. Circuit, including the issue of whether EPA acte d arbitra rily and ca priciously in establishing the spe cific le vels of the standa rds.
The D.C. Circuit he ard arguments in this rema nded case in D ece mber 2001, and issued its decision
on Marc h 26, 2002. The court reje cted the claims that the EPA had acte d arbitra rily and capriciously in setting the le vels of the standa rds.

2 .5 On Dec ember 17, 2004, EPA promulg ated the initial PM nonattainment are as designations for the

2 .5 PM standards across the country

. Modifications to those designations were made and an eff ective date was set at April 5, 2005. Unlike Subpart 2 of the CAA Amendments of 1990 which define d five
ozone nonattainment classifications for the are as that exceed the NAAQS based on the severity of the

2

. 5 ozone levels, P M n onattainment designations are simply labeled “nonattainment.” The CAA

2 .5 Amendments require states with PM nonattainment are as to submit a plan within three year s of the

2 .5 eff ective date of the designations (April 5, 2008) detailing how the PM standards would be attained by April 5, 2010.
On November 20, 2009 [74 FR60199] EPA deter mined that the Martinsburg -Ha g erstown, WV-MD

2 .5 are a had attained the 1997 PM NAAQS (Clean Data Deter mination). This deter

mination was based
on complete, quality -assure d and cert i fi ed ambient air monitoring data for the three year period, 2006-2008. This deter

mination suspended the state’s require ment to submit an attai nm ent demonstration, Reasonably Available Control Measur es (RACM), including Reasonably Available Control Te chnology (RACT), Reasonable Fur ther Progress (RFP) plan, conting ency measure s, and

2 .5 other planning SI P revisions related to attainment of the 1997 PM NAAQS for so long as the are a

2 .5 continues to attain the 1997 PM NAAQS.
On J anuar y 10, 2012 [77 FR 1411] EPA also deter mined that the Martinsburg -Ha g erstown, WV-MD

2 .5 are a had attained the 1997 annual PM NAAQS by the applicable attainment date of April 5, 2010. This deter mination was based upon complete, quality -assure d, and cer tified ambient air monitoring data f or the 2007-2009 monitoringperiod.
C. Ge ographic Descr iption

2 .5 The Martinsburg -Ha g erstown, WV-MD PM nonattainment are a (Mar tinsburg are a) is a multi-state nonattainment are a, comprising Be rkele y County in West Virg inia, and Washington County in Maryland. This are a is shown in Figure 1 under Section I I .A. The Martinsburg are a has not previously been subje ct to nonattainment ar ea r ulemaking s for fine particle s. Although E PA designated the Martinsburg are a nonattainment for the 15.0 μg/m annual standa rd, 3 as a result of the C lean Data Determination West Virg inia DEP was not re quired to deve lop a plan to demonstrate that the a

rea would meet the f

ederal annua l air quality

standard by

April 5, 2010. This document is intended to support West Virg inia’s re quest that the West Virg inia portion of the

2 .5 Martinsburg are a be rede signated from nonattainment to attainment for the 1997 PM standard. In addition, the State of Maryland also plans to submit a reque st for their portion o f the Martinsburg
are a. Page 2 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nII. REDESIGNATION CRITERIA

Pursuant t o Section 107(d)( 3)(E) of the CAA states must sufficie ntly addre ss five issues to obtain rede signation of a nonattainment a rea to attainment:
A. deter minate that the ar ea ha s attained the a pplicable NAAQS; B. have a

fully approve d implementation plan under CAA se ction 110(k); C. show that the imp ro v em ent in air quality is due to perma nent and enforcea

ble emission reduc tions; D. submit an EPA approva ble maintenanc e plan which ensure s attainment of the NAAQS for at least ten year s beyond rede signation; and E. show that the ar ea ha s met the applica ble re quirements of CAA se ction 110 and par t D.
The State of West Virg inia here in aff irmatively completes all five of the require d elements as detailed below.

2 .5 A. The Martinsburg Area has attained the 1997 P M Stand ard [S ee A ppedix A] The following information is taken from E P A’s “Guideline on Data Handling Conventions for the PM NAAQS,” U.S. EPA-454/R-99-008, April 1999.

In acc ordanc e with the CAA Amendments, three complete year s of monitoring data ar e re quired to

2 .5 demonstrate attainment at a monitoring site. The annual PM primary and seconda ry ambient air quality standards are met at an ambient air quality monitoring site when the three -year aver ag e of the annual aver ag e is less than 15.0 μg/m

. Whil e calc ulating design values, three signific ant digits must 3 be car ried in the computations, with final values rounded to the nearest 0.1 μg/m

. Dec imals 0.05 or 3 greater are rounded up, and those less than 0.05 are rounded down, so that 15.049 μg/m is the larg est 3
conce ntration that is less than, or equal to 15.0 μg/m

. Values at or below 15. 0 μ g/m meet the 3 3 standard; va lues equa l to or greater than 15.1 μg/m exceed the standard. An are a is in compliance 3

2 .5 with the annual PM NAAQS only if ever y monitoring site i n th e ar ea m eets the NAAQS. An individual site’s 3-year averag e of the annual aver ag e conce ntrations is also called the site’ s design value. The air quality design value for the are a is the highe st design value among all sites in the are a.

2 .5 There are two (2 ) monitors measuring PM conce ntrations in the Martinsburg , WV-MD nonattainment are a. One (1) monitor is located in West Virg inia and operated by the West Virg inia Division of Air Quality (DAQ ). One (1) monitor is located in Mary land and operated by the Maryland Depa rtment of the Environment (MDE). The location of the monitoring sites for this nonattainment
area ar e s h o wn i n Figure 1. A listi ng of the design values based on the three -year aver ag e of the annual mean conce ntrations from 2001-2003 through 2009-2011 for the monitors is shown in Table 1. The data for the two monitors is l ocate d in Appendix A.
The data in Appendix A has been quality assure d, up through 2011 in acc ordanc e with 40 CFR 58.10 and all other

fede ral re quirements. The data ha s been recorded in the AQS databa se and, the ref ore,

Page 3 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nthe data are available to the public. Table 1 shows the monitoring data for 2001-2012 that were retrieved from the EPA AQS.

Figure 1: Map of the Martinsburg-Hagerstow n, WV-MD nonattainment area and monitor locations

Table 1: Martinsburg Nonattainment Area Design Values for the 1997 Annual and 24-hr PM 2.5 NAAQS 1997 NAAQS 24 hr 3 yr 98% = 65 1997 Annual NAAQS = 15

FRM Site 02

- 04 03

- 05 04

- 06 05

- 07 06

- 08 07

- 09 08

- 10 09

- 11 10

- 12 02

- 04 03

- 05 04

- 06 05

- 07 06

- 08 07

- 09 08

- 10 09

- 11 10

- 12
54- 003- 0003 37 36 34 33 31 29 31 30 31 16.1 16.2 15.8 15.8 14.9 14.0 12.9 11.8 11.6

24- 043- 0009 39 36 34 31 30 27 28 27 28 14.1 14.1 13.8 13.2 12.2 11.5 11.0 10.9 11.0 Source: EPA Air Quality System (AQS); http://www.epa.gov/airtrends/values. html Notes: Green shading indicates meeting the standard, all monitors in the area monitor attainment.

Page 4 Martinsburg, WV 1997 PM 2.5 Redesignation and Maintenance Plan2 .5

The design values calc ulated for the Martinsburg are a demonstrate that the 1997 PM NAAQS has been attained. The are a’s design values have trende d downward as emissions have de clined due to
s u ch fac tors as cleaner automobiles and fuels, and controls for EGUs, at the national, reg ional an d local leve l.

2 .5 National monitoring for PM beg an in 1999. There has been a cl ea r downward trend in design values for all monitors in West Virg inia and Mary land, as shown in Figures 2 a nd 3. Design values have a lso trended downw ard nationally , as shown in Figure 4.
On November 20, 2009 [74 FR 60199] EPA deter mined that the Martinsburg -Ha g erstown, WV-MD

2 .5 are a had attained the 1997 PM NAAQS [C lean Data Deter mination]

. This deter

mination was based upon complete, quality assure d, quality controlled, and cer tified ambient air monitoring dat a th at

2 .5 showed that the are a monitored attainment of the 1997 PM NAAQS duri n g the 2006-2008 monitoring period. On J anuar y 10, 2012 [77 FR 1411] EPA also deter mined that th e Martinsburg

2 .5 Hag erstown, WV-MD are a had attained the 1997 annual PM NAAQS by the applicable attainment date o f Ap ri l 5 , 2010. This deter mination was based upon complete, quality -assure d, and cer tified ambient air monitoringdata f or the 2007-2009 monitoringperiod.

2 .5 PM ambient air quality monitoring data for the rec ent three (3) y ear period 2009 through 2011,

2 .5 demonstrate that the air quality continues to meet the NAAQS for annual PM in this nonattainment
are a. The NA AQS attainment, acc ompanied by decrease s in emission levels discussed in Chapter Four , support a rede signation to at t ai n m ent for the Martinsburg are a based on the require ments in Section 107(d)( 3)(E) of the CAA.

2 .5 DAQ commits to continue moni toring PM l ev els at the W est Virg inia sites indicated in Figure 1
an d Table 1. DAQ will consult with EPA Reg ion I I I prior to making chang es to the exis ting monitoring network, should chang es become nece ssary in the future. DAQ will c ontinue to quality
assure the monitoring data to meet the require ments of 40 CFR 58 and all other fede ral require ments. Connection to a centr al station a nd updates to the DAQ web site will pr ovide rea l time availability of the data and knowle dg e of a ny exceeda nces. D AQ will enter

all data into AQ S on a timely basis in acc ordanc e with fe dera l guide lines.

Page 5 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nFigure 2: West Virginia PM2.5Annual Design Values, 1999-2001 through 2009-2011.Data Source:http://www.epa.gov/airtrends/values.html, from Excel spreadsheet: PM25_DesignValues_20092011_Final_07_30_12.xlsPage 6Martinsburg, WV 1997 PM2.5Redesignation and Maintenance PlanFigure 3: Maryland PM2.5Annual Design Values, 1999-2001 through 2007-2009.Data Source:http://www.epa.gov/airtrends/values.html, from Excel spreadsheet: PM25_DesignValues_20092011_Final_07_30_12.xlsPage 7Martinsburg, WV 1997 PM2.5Redesignation and Maintenance PlanFigure 4: PM 2.5 Annual Mean National Trends

Source: http://www.epa.gov/airtrends/pm.html B. The Martinsburg Area has a Fully Approved SIP Under Section 110(k) of the CAA On December 17, 2004, EPA promulgated the initial PM 2.5 nonattainment areas designations for the PM 2.5 standards across the country, including the Martinsburg-Hagerstown, WV-MD area. Modifications to those designations were made and an effective date was set at April 5, 2005. On November 20, 2009 [74 FR60199] EPA determined that the Martinsburg-Hagerstown, WV-MD area had attained the 1997 PM 2.5 NAAQS (Clean Data Determination). This determination was based on complete, quality-assured and certified ambient air monitoring data for the three year period, 2006- 2008. This determination suspended the state’s requi rement to submit an attainment demonstration, Reasonably Available Control Measures (RAC M), including Reasonably Available Control Technology (RACT), Reasonable Further Progress (RFP) plan, contingency measures, and other planning SIP revisions related to attainment of the 1997 PM 2.5 NAAQS for so long as the area continues to attain the 1997 PM 2.5 NAAQS. On January 10, 2012 [77 FR 1411] EPA also determin ed that the Martinsburg-Hagerstown, WV-MD area had attained the 1997 annual PM 2.5 NAAQS by the applicable attainment date of April 5, 2010. This determination was based upon complete, qua lity-assured, and certified ambient air monitoring data for the 2007-2009 monitoring period. The DEP believes that all applicable requirements under CAA section 110(k) have been met.

Page 8 Martinsburg, WV 1997 PM 2.5 Redesignation and Maintenance PlanC. The Mart insb urg Are a’s Air Quali ty Im provem ent is Due to P er man en t and

Enf orce able Emissions Reductions
Severa l fede rally enfor cea ble control measure s have been implemented during the past deca de which contribute to the air quality improvement, and will continu e to reduc e emissions in the future, including:

x • NO SI P Call and the Clean Air Interstate Rule ( CAI R);

• Tier I I Emission Standards for Vehicle s and Gasoline Sulfur Standards [65FR6698, 10FEB 2000];

• Heavy-Duty

Diesel Eng ines [65FR59896, 06OCT2000] ;

• Clean Air Non- road D iesel Rule [69FR38958, 29J UN2004]; and

• Various MACT regulations.
These a re discusse d in detail in Section V - Control Measure s and Regulations.

D. T h e S tate has Deve loped a Maintenance P lan for the Mart insb urg Are a Which Ensu res

2 .5 Attainm ent of the 1997 P M Stand ard for at least 10 Ye ars Section 107(d)( 3)(E) of the CAAA stipulates that for an a rea to be re designated to attainment EPA must a pprove a maintenanc e plan that meets the require ments of Section 175A. A state may submit both the rede signation reque st and maintenanc e plan at the same time, and the plan adoption proce ss, including rule-ma

king or public hearing proce eding s, may proce ed on a para llel trac k. West Virg inia is here in submitt ing a reque st to rede signate the Martinsburg are a to attainment and is also reque sting that EPA concur

rently proce ss this request and the a ccompa ny ing ma intenanceplan.

E. The Martinsb urg A r e a Ha s Met All Relevant Requirem ents und er CAA Section 110 and P art D
For purposes of rede signation, a state must meet all require ments of Section 110 and Part D that wer e applicable prior to submittal of the complete r edesignation reque st. Subpart 1 of Part D consists of gen er al re qu i rements applicable to all are as which are designated nonattainment based o n a v iolation of the NAAQS. Subpart 4 of Part D consists of more specific

1 0 require ments applicable to particulate matter (spe cifica lly to addre ss PM ).
1. Section 110(a) require ments Section 110(a) of Tit le I of the C AA contains the gene ral requireme nts for a SI P

. As E P A has stated in previous rulemaking , only the section 110 and part D require ments that are linked with 1
a particula

r are a’s designation are the rele vant measure s which we may consider in evalua ting a rede signation reque st. Fur ther, we believe that the other secti o n 110 elements that are not connec ted with nona

ttainment pla

n submissi ons and not linked with an ar ea’ s attainment status

S e e E P A ’ s p r o p o s e d a p p r o v a l o f O h i o ’ s r e d e s i g n a t i o n r e q u e s t f o r t h e O h i o p o r t i o n o f t h e H u n t i n g t o n - A s h l a n d 1

2.5 n o n a t t a i n m e n t a r e a f

o r t h e 1 9 9 7 P M N A A Q S

. ( 7 6 F R 7 9 5 9 3 ) Page 9

2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nare also not applicable require ment s fo r p urposes of rede signation. A state rema ins subject to

these re quirements af

ter a n are a is rede signated to attainment.

2 .5 The require ments of section 110(a) (2) are statewide require ments that are not linked to the PM nonattainment status of a nonattainment are a. There fore th es e SIP elements are not applicable

2 .5 require ments for purpose s of re view of thestate’s PM rede signation request.
2. Section 172(c) require ments Section 172(c) contains g ener al require ments for n onattainment plans. The require ments for
rea sonable further progress, identification of cer tain emission s i n creases, and other measure s neede d for attainment will not apply for rede signations beca use they only have meaning for are as not attaining the s tandar d. The requireme nts for an emissi o n i n v en t o ry will be satisfied by the inventory require ments of the maintena nce pla n. Sections I I I and V discuss these require ments in more deta il.
3. Conformity The state must work with EPA to show that its SI P p ro visions are consistent with the Section 176(c) (4) confor

mity require ments. The redesignation reque st should include confor mity proce dures, if the state alre ady has these proce dures in place

. I f a state does not have confor mity proce dures in plac e at the time that it submits a rede signation r equest, the state must c ommit to follow EPA’s confor

mity regulation upon issuance, as applicable

. EPA approve d West Virg inia’s Trans p o rt ation Conformity SI P detailing confor mity proce dures eff

ective June 2, 2008 [73 FR 24175].S ection IV discusses this require ment in more deta il.

Page 10 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nIII. MAINTENANC E PLAN

(CAA Section 107(d) (3)( E)(iv))
Section 107(d)( 3)(E) stipulates that for an are a to be rede signated , EPA must fully approve a maintenanc e plan that meets the require ments of S ec t i o n 175(A). The maintenanc e plan will constitute a S I P revision and must provide for maintenanc e of the re l ev ant NAAQS in the area for at l east 10 year s afte r redesignation. Section 175 (A) further states that the plan shall contain such additional measure s, if any , as may be nec essar

y to ensure suc h maintenanc e.
In addit i o n , th e maintenanc e plan shall contain such conting ency measure s as the Administrator deems nece ssary to ensure prompt corr ection of any violation of the NAAQS. At a minimum , the conting ency measure s must include a require ment that the state wi l l i mplement all measure s contained in the nona

ttainment SI P prior to rede signation.

West Virg inia DAQ, in consultation with EPA and MDE, selec ted th e year 2007 as the attainment year , 2017 as the interim year and 2025 as the end year of the maintenanc e plan for this rede signation request. This document contains actua l emissions summaries for 2005 and 2007, and p ro j ec t ed emissions summarie s for 2017 and 2025. Thus, the pertinent inventory year s for West Virg inia are : 2 0 05 (nonattainment year), 2007 (attainment year and maintenanc e plan base year), 2017 (interim year) and 2025 (maintenan ce p l an end year). Detailed, SI P quality emissions inventories for all pertinent year s are contained in Appendix B. [The State of Mary land is requesting rede signation of Washington County in a separ ate action.] Three specific emissions inventory demonstrations should be made for B erke ley

County :
1. The attainment year (2007) emissions must eac h be less than the corresponding emissions in the nonat t ai n ment year (2005). The reduc tions must be attributable to fede rally enfor cea ble emission reduc tions (as discussed in Section I I I .E and Sec tion V).
2. T he interim year (2015) emissions should be less than the maintenanc e plan b as e y ea r (2007).
3. The end year (2025) emissions of eac h of the p ollutants should be less than the maintenanc e plan ba se year (2007).
As can be seen in Table 2 below, West Virg inia and Mary land have seen a s i gn i fica nt state-wide

2 x decline in the emi s s i o n s o f S O and NO emitted by EGUs since 2002. In 2007 through 2011, fac iliti es beg an pre p ar i ng for and implementing control programs to addre ss CAIR and consent decr ees. Significa

nt reduc tions occur

red reg ionally and nationally

. Data available for 2011, show the

2 x SO and NO reduc tions which wereimplemented under CAI R and consent de cre es.

Page 11 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n2 x Tabl e 2: SO and NO EGU Em ission s 2002 through 2011

2 SO

2 0 0 2 2 0 0 3 2 0 0 4 2 0 0 5 2 0 0 6 2 0 0 7 2 0 0 8 2 0 0 9 2 0 1 0 2 0 1 1
W V 5 0 7 , 1 1 0 5 3 9 , 8 5 8 4 7 3 , 7 6 0 4 6 7 , 0 8 2 4 5 4 , 1 5 8 3 7 1 , 9 9 6 3 0 1 , 5 7 4 1 7 4 , 5 8 3 1 0 6 , 0 8 8 9 2 , 6 0 9

M D 2 5 5 , 3 6 0 2 6 8 , 9 9 1 2 8 1 , 6 8 4 2 8 1 , 7 5 3 2 7 6 , 2 7 1 2 7 2 , 8 7 9 2 2 7 , 1 9 8 1 9 8 , 2 5 4 2 8 , 6 7 0 3 0 , 5 4 1

U S 1 0 , 1 9 6 , 2 1 0 1 0 , 5 9 4 , 9 7 2 1 0 , 2 5 9 , 2 1 2 1 0 , 2 2 2 , 6 3 9 9 , 3 9 2 , 5 0 2 8 , 9 3 3 , 5 1 7 7 , 6 1 6 , 4 4 9 5 , 7 2 4 , 1 8 5 5 , 1 2 0 , 3 8 1 4 , 5 0 3 , 0 2 8

x NO

W V 2 2 5 , 3 7 1 2 0 3 , 1 4 2 1 7 2 , 3 3 9 1 5 9 , 4 8 1 1 5 1 , 6 7 3 1 5 0 , 8 4 9 9 7 , 3 3 1 3 6 , 1 2 0 5 1 , 3 9 3 5 3 , 4 1 5

M D 7 1 , 4 5 7 6 8 , 0 6 2 6 0 , 3 0 5 6 0 , 2 3 5 5 3 , 6 9 8 5 0 , 1 2 1 3 5 , 9 0 2 1 6 , 9 4 6 1 8 , 5 7 2 1 7 , 1 8 4

U S 4 , 4 7 4 , 6 4 7 4 , 1 6 9 , 6 7 1 3 , 7 6 3 , 5 8 3 3 , 6 3 3 , 3 5 4 3 , 4 0 9 , 2 7 9 3 , 2 8 3 , 7 2 3 2 , 9 9 6 , 5 9 4 1 , 9 8 4 , 4 5 4 2 , 0 6 1 , 5 1 0 1 , 9 3 6 , 3 1 0 S o u r c e : C l e a n A i r M a r k e t s , A i r M a r k e t s P r o g r a m D a t a , A c i d R a i n P r o g r a m E m i s s i o n s
Fur ther, Ta bles 3- 20 cle arly

show total emissions have decr ease d in the period from 2005 to 2007 in Be rkele y

County , and emission projec tions through 2025 do not predic t any incre ase in the total emissions for Be rkele y County or the Martinsburg are a. As outlined b elow, the reduc tions are enfor cea ble and should continue in the f uture.
On Marc h 10, 2004, EPA promulg ated the CAI R. Be g inning in 2009, EPA’s CAI R rule requ i re d

x EGUs in 28 easte rn states and the District of Columbi a to signific antly reduc e emissions of NO and

2 x SO

. CAIR repla ced the NO SI P Call for EGUs. The intent of the CAI R program was for national

x NO emissions to be cut from 4.5 milli on tons in 2004, to a cap of 1.5 milli on tons by 2009, and 1.3 milli on tons in 2018 in 28 states. States wererequire d to submita CAIR SI P as part of this ef fort. West Virg inia DEP submitt ed a CAI R SI P to EPA on J une 1, 2006. Revisions to the CAI R SI P wer e submitt ed on April 22, 2008. The revised CAIR SI P was approve d on August 4, 2009 (74 FR 38536).

x As a result of CAI R, EPA projec ted that in 2009 emissions of NO would decreasefrom a ba seline

2 of 179,000 tons per year to 63,000 tons per year while in 2010 emissions of SO would decr ease from
a baseline of 582,000 tons per year to 25 0 , 0 0 0 tons per year , within West Virg inia. And by 2015,

x 2 EPA projec ted emissions of NO would d ec re as e to 44,000 tons per year while emissions of SO would decr easeto 118,000 tons per year , within W est Virg inia.
On Dec ember 23, 2 0 0 8 , E P A’s CAI R program was rema nded without vacatur by the D.C. Circuit Court. The followingwas reported by EPA’s Clean Mar

kets Division:
“B ased on emissions monitoring data, EPA has observe d substantial reduc tions in emissions from 2005 to 2010 as companies installed more controls, elec tric demand declined, and low natura l g as price s made combined-c ycle g as-f ired units more competitive in sever al parts of the country

. Thus, even afte r CAI R’s vacatur and subsequent rema nd in late 2008, the controls in place g ener ally have continued to operate, helping to drive continued progress in reduc ing

2 em i ssions. However, allowanc e price s of SO have been relatively low since 2008, rais i n g conce rns that coal- fired units could burn dirtier fuels, operate scrubbe rs at reduc ed eff iciency , Page 12 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nor even by pass scrubbe rs altog ether , instead rely ing on banked allowanc es (bec ause there is

x x not an exist ing larg e bank of NO allowanc es, NO allowanc e price s have not be en af fec ted

2 x as signific antly

). For these rea sons, EPA is trac king SO and NO emissions closely ea ch quarte r to evaluate further progress and assess whether backsliding may be occur ring and, if so, whereit may

be taking place .” [ http://www.epa.g ov/airmarke ts/background.htm ]
On J uly 6, 2010 , E P A p ro p o s ed a repla ceme nt to the CAI R program, the Transpor t Rule [75 FR 45210]. On J uly 6, 2011, EPA finalized the Transpor t Rule, now commonly ref err ed to as the CrossState Air Polluti on Rule (CSAPR ) [76 FR 48208, 08 AUG 2011] in time f or reduc tions to beg in in 2012. As fi n alized, the C SAPR would have preser ved the initial reduc tions achie ved under CAI R

x 2 and provide more reduc tions in NO and SO emissions in 2012 and 2014, ahea d of the 2015 CAI R Phase 2.

West Virg inia DAQ is in agree ment with the analy sis by U.S. EPA that the CAIR program provided

2 .5 rea l r e d u c ti o n s
. We believe these reduc tions have assisted with PM attainment in this nonattainment
are a and throughout West Vi rgi n i a. It is also the DAQ’ s belief that the CSAP R will continue to provide the nece ssary reductions, and likely even greater reduc tions, that will be nece ssary for

2 .5 maintenanc e of the annual PM standard to continue. As stated by EPA reg arding the final Transpor t Rule or CSAPR :
This rule will prohibit all signific ant contribution to nonattainment and interfe renc e with

2 .5 respe ct to the annual and 24-hour PM

. In addition, it will resolve air quality issues at most nonattainment and maintena n ce rec eptors identified by EPA. EPA projec ts that unresolved nonattainment and maint en an ce issues will rema in in only a few downwind states afte r

2 .5 promulg ation and implementation of the Transpor t Rule. For the annual PM standard, EPA projec ts that this rule will hel p assure that all are as in the east fully resolve their nonattainment and maintenanc e concerns. This rule will also help a number of are as achie ve the standard earlier than they may have othe rwise. [76 FR 48247]

Howeve r, on Dec ember 30, 2011 the United States Court of Appea ls fo r the District of Columbi a stayed the implementation of CSAPR, indefinitely reinstatingCAI R. Although there are no elec tric g ener ating units in the West Virg inia portion of the M art i n s b urgHag erstown, WV-MD are a, the DAQ believes that CAI R, or any likely repla ceme nt f or CAI R, w ill

x 2 constrain near

by EGU NO and SO emissions sufficie ntly to ensure that maintenanc e level emissions
arenot exceeded during themaintenanc e period.
As shown in Section VI - Supplemental Modeling Analy ses, rec ent modeling

-- C AIR, proposed Transpor t Rule, CSAP R (F inal Transpor t Rule), including base case s wher e CAIR and CSAP R wer e not considere d to be applicable requirem en t s , and the VI STAS/AS I P modeling (which includes CAI R) -- all show that the Marti n s burg -Ha g erstown, WV-MD are a will continue to maintain the

2 .5 1997 PM NAAQS.

Page 13 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nThe base year , attainment year and projec tion year s emissions inventory d ev el o pment discussion

contained in Appendix B identifies proce dures used by the Division of Air Quality (DAQ ) to develop emissions estimates for Be rkele y County , the West Virg inia portion of the Martinsburg -Ha g erstown, WV-MD nonattainment are a. The Mary land Depa

rtment of the Environment (M DE) provided the emission estimates (conta ined in Appendix D) for the Mary land portion of the are a, based on growth and con tro l files for Point, Are a, and Nonroa d cate g ories develope d by MARAMA. Appendix E contains MARAMA’s technica l support document detailing the analy sis used to projec t emissions.

Ba ker perf ormed Onroad mobi le s ource emission projec tions using the EPA MOVES model. The analy sis is described in more d et ai l i n Appendix C for Be rkele y County , WV and Appendix F for Washington County , MD. All projec tions wer e made u s i n g fe d erally approve d interag ency consultation proce dures.
Sectors included for West Virg inia in the following tables are : Point, including Airports; Other Are a (Are a); L o co m o t i ve and Marine (LM); Non-roa d Mobile (Nonroa d); Fire ; and Onroa d Mobile (Onroa d). Since no Electric Gene rating Units ( EGUs) are located in Be rkele y County , there was no need to include a sector for EGUs. The Point S ourcesector in B erke ley County is equivalent to the Non-EGUsector in Washington County , MD.
Sectors for Maryland included in the following tables are : Electric Gene rating Units (EGUs) ; NonElectric Gene rating Units (Non-EGU s); Are a; Marine , Aircraft a nd Rail (MAR); Non-roa d Mobile (Nonroa d); and Onroad Mobile (Onroad).
Whil e the two states have slightly different subcate g ories for some emissions, the totals for the individual pollutants and prec ursors demonstrate maintenanc e for the entire interstate nonattainment
are a.

Page 14 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n2 .5

A. P M Em ission s Dem onstrations

2 .5 2 .5 The 2005 and 2007 actua l PM EGU and NonEGU emissions data below ref lect PM -primar

y emissions.

2 .5 Tabl e 3: Ber keley County, WV P M Em ission Inventory Totals for 2005, 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 5

( B a s e ) 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
P o i n t 3 6 1 2 2 7 2 2 2 5 2 3 9

- 1 2
A r e a 1 , 4 3 0 6 7 7 6 9 4

- 1 7 7 0 7

- 3 0
L M 2 5 3 2 1 9 1 3 1 4 1 7

N o n r o a d 4 5 4 1 2 4 1 7 1 4 2 7
F i r e 0

. 0 0 0

. 2 2 0

. 0 7 0
. 1 5 0

. 0 7 0
. 1 5
O n r o a d 1 9 9 1 7 6 6 6 1 1 1 4 0 1 3 7
T O T A L 2 , 0 5 9 1 , 1 5 4 1 , 0 2 5 1 2 9 1 , 0 1 5 1 3 9

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

2 .5 Tabl e 4: Washington Coun ty, MD P M Em ission Inventory Totals for 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y M a r g i n
E G U 3 1 0 2 7 7 3 3 2 9 9 1 1
N o n E G U 1 8 8 1 8 8 0 1 8 8 0
A r e a 5 0 1 5 2 2

- 2 0 5 3 8

- 3 7
M A R 1 0 5 5 3 7
N o n r o a d 7 4 4 7 2 7 3 3 4 1
O n r o a d 2 1 8 1 2 5 9 3 7 8 1 4 0
T O T A L 1 , 3 0 1 1 , 1 6 3 1 3 8 1 , 1 3 9 1 6 2

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

Page 15 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n2 .5

Tabl e 5: M artinsburg Nonattainme nt Are a P M Em ission Inventory Totals for 2007, 2017 and 2025 (tpy)

C o u n t y 2 0 0 7 A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
B e r k e l e y , W V 1 , 1 5 4 1 , 0 2 5 1 2 9 1 , 0 1 5 1 3 9
W a s h i n g t o n , M D 1 , 3 0 1 1 , 1 6 3 1 3 8 1 , 1 3 9 1 6 2

2.5 M a r t i n s b u r g P M T o t a l 2 , 4 5 5 2 , 1 8 8 2 6 7 2 , 1 5 4 3 0 1 * N o t e : N u m b e r s m a y n o t t o t a l e x a c t l y d u e t o r o u n d i n g
. *

x B. NO Em ission s Dem onstrations

x Tabl e 6: Ber keley County, WV NO Em ission Inventory Totals for 2005, 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 5

( B a s e ) 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
P o i n t 3 , 4 0 2 1 , 9 6 7 1 , 9 1 3 5 4 2 , 0 7 0

- 1 0 3
A r e a 6 3 6 1 2 1 1 1 0 1 1 1 0 7 1 4
L M 8 4 9 9 4 3 5 8 4 3 5 9 4 2 4 5 1 9
N o n r o a d 4 6 9 4 3 7 2 3 0 2 0 8 1 4 9 2 8 9
F i r e 0

. 0 0 0

. 0 7 0

. 0 2 0
. 0 4 0

. 0 2 0
. 0 4
O n r o a d 5 , 5 2 0 5 , 0 0 5 2 , 0 1 6 2 , 9 8 9 1 , 2 7 7 3 , 7 2 8
T O T A L 1 0 , 8 7 5 8 , 4 7 3 4 , 8 5 3 3 , 6 2 0 4 , 0 2 6 4 , 4 4 7

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

x Tabl e 7: Washington Coun ty, MD NO Em ission Inventory Totals for 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y M a r g i n
E G U 1 , 3 9 8 1 , 3 9 0 8 1 , 3 9 0 8
N o n E G U 1 , 9 8 2 1 , 5 1 6 4 6 6 1 , 5 1 8 4 6 5
A r e a 2 9 6 3 1 7

- 2 2 3 3 9

- 4 3
M A R 2 8 9 1 9 6 9 3 1 4 4 1 4 5
N o n r o a d 7 9 3 4 3 3 3 6 0 3 0 1 4 9 2
O n r o a d 6 , 0 2 2 3 , 3 6 1 2 , 6 4 1 2 , 3 1 2 3 , 7 1 0
T O T A L 1 0 , 7 8 1 7 , 2 3 3 3 , 5 4 8 6 , 0 0 4 4 , 7 7 7

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. * Page 16 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nx

Tabl e 8: M artinsburg Nonattainme nt Are a NO Em ission Inventory Totals for 2007, 2017 and 2025 (tpy)

C o u n t y 2 0 0 7 A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
B e r k e l e y , W V 8 , 4 7 3 4 , 8 5 3 3 , 6 2 0 4 , 0 2 6 4 , 4 4 7
W a s h i n g t o n , M D 1 0 , 7 8 1 7 , 2 3 3 3 , 5 4 8 6 , 0 0 4 4 , 7 7 7

x M a r t i n s b u r g N O T o t a l 1 9 , 2 5 4 1 2 , 0 8 6 7 , 1 6 8 1 0 , 0 3 0 9 , 2 2 4 * Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

2 C. SO Em ission s Dem onstrations

2 Tabl e 9: Ber keley County, WV SO Em ission Inventory Totals for 2005, 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 5

( B a s e ) 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
P o i n t 1 , 9 7 8 1 , 4 4 4 1 , 4 0 5 3 9 1 , 5 2 1

- 7 7
A r e a 5 7 5 3 0 0 2 4 9 5 0 2 4 1 5 9

L M 5 1 3 4 3 3 1 3 3 1
N o n r o a d 4 9 2 6 1 2 5 1 2 5
F i r e 0

. 0 0 0

. 0 2 0

. 0 1 0
. 0 1 0

. 0 1 0
. 0 1
O n r o a d 1 0 9 3 0 1 0 2 0 1 0 2 0
T O T A L 2 , 4 6 2 1 , 8 3 3 1 , 6 6 7 1 6 6 1 , 7 7 6 5 7

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

2 Tabl e 10: Washington Coun ty, MD SO Em ission Inventory Totals for 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a f e t y M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y M a r g i n
E G U 5 , 5 3 6 4 , 5 9 0 9 4 6 4 , 5 9 0 9 4 6
N o n E G U 1 , 2 7 7 1 , 2 7 1 6 1 , 2 7 1 6
A r e a 2 7 4 8 0 1 9 5 8 3 1 9 1
M A R 5 2 4 2 4
N o n r o a d 4 5 1 4 4 1 4 4
O n r o a d 4 5 1 9 2 6 2 1 2 5
T O T A L 7 , 1 8 3 5 , 9 6 2 1 , 2 2 1 5 , 9 6 7 1 , 2 1 6

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. * Page 17 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n2

Tabl e 11: M artinsburg Nonattainme nt Are a SO Em ission Inventory Totals for 2007, 2015 and 2025 (tpy)

C o u n t y 2 0 0 7 A t t a i n m e n t 2 0 1 5

I n t e r i m 2 0 1 5 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
B e r k e l e y , W V 1 , 8 3 3 1 , 6 6 7 1 6 6 1 , 7 7 6 5 7
W a s h i n g t o n , M D 7 , 1 8 3 5 , 9 6 2 1 , 2 2 1 5 , 9 6 7 1 , 2 1 6

2 M a r t i n s b u r g S O T o t a l 9 , 0 1 6 7 , 6 2 9 1 , 3 8 7 7 , 7 4 3 1 , 2 7 3 * Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

3 D. NH Em ission s Dem onstrations

3 Tabl e 12: Ber keley County, WV NH Em ission Inventory Totals for 2005, 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 5

( B a s e ) 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
P o i n t 6 7 9 1 9 3

- 2 9 7

- 7
A r e a 1 9 8 1 7 3 1 7 2 1 1 7 3 0

L M 0

. 3 5 0

. 4 2 0

. 4 5

- 0
. 0 3 0

. 5 1

- 0
. 0 9
N o n r o a d 0

. 3 9 0

. 4 1 0

. 4 9

- 0
. 0 9 0

. 5 8

- 0
. 1 7
F i r e 0

. 0 0 0

. 0 1 0

. 0 0 0
. 0 1 0

. 0 0 0
. 0 1
O n r o a d 5 2 5 2 3 6 1 6 3 6 1 6
T O T A L 3 1 8 3 1 7 3 0 2 1 5 3 0 8 9

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

3 Tabl e 13: Washington Coun ty, MD NH Em ission Inventory Totals for 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a f e t y M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y M a r g i n
E G U 0

. 0 0 0

. 0 0 0
. 0 0 0

. 0 0 0
. 0 0
N o n E G U 0

. 0 0 0

. 0 0 0
. 0 0 0

. 0 0 0
. 0 0
A r e a 1 , 1 1 3 1 , 1 1 5

- 2 1 , 1 1 6

- 3
M A R 0

. 0 0 0

. 0 0 0
. 0 0 0

. 0 0 0
. 0 0
N o n r o a d 0

. 7 9 0

. 9 5

- 0
. 1 6 1

. 0 7

- 0
. 2 8
O n r o a d 9 2 6 8 2 4 7 4 1 7
T O T A L 1 , 2 0 6 1 , 1 8 4 2 2 1 , 1 9 2 1 4

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. * Page 18 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n3

Tabl e 14: M artinsburg Nonattainme nt Are a NH Em ission Inventory Totals for 2007, 2017 and 2025 (tpy)

C o u n t y 2 0 0 7 A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
B e r k e l e y , W V 3 1 7 3 0 2 1 5 3 0 8 9
W a s h i n g t o n , M D 1 , 2 0 6 1 , 1 8 4 2 2 1 , 1 9 2 1 4

2 M a r t i n s b u r g S O T o t a l 1 , 5 2 2 1 , 4 8 5 3 7 1 , 5 0 0 2 3 * Note: Numb ers may not tota l ex ac tly due t o roun di ng. *
E. VOC Em ission s Dem onstrations

Tabl e 15: Ber keley County, WV VOC Em ission Inventory Totals for 2005, 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 5

( B a s e ) 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
P o i n t 2 9 8 2 3 1 1 9 1 4 0 2 0 4 2 4
A r e a 2 , 5 0 5 1 , 3 8 6 1 , 0 4 2 3 4 3 1 , 0 8 9 2 9 6

L M 5 2 6 3 4 1 2 2 3 4 2 9
N o n r o a d 4 0 4 3 8 9 2 4 9 1 4 0 2 1 4 1 7 5
F i r e 0

. 0 0 0

. 1 3 0

. 0 4 0
. 0 9 0

. 0 4 0
. 0 9
O n r o a d 1 , 4 7 3 1 , 3 7 8 6 7 3 7 0 5 4 9 8 8 8 0
T O T A L 4 , 7 3 2 3 , 4 4 7 2 , 1 9 7 1 , 2 5 0 2 , 0 4 2 1 , 4 0 5

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

Tabl e 16: Washington Coun ty, MD VOC Em ission Inventory Totals for 2007, 2017 and 2025 (tpy)

S e c t o r 2 0 0 7

A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a f e t y M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y M a r g i n
E G U 1 0 9 1 9 0
N o n E G U 3 5 4 3 5 3 0 3 5 3 0
A r e a 1 , 7 1 1 1 , 5 8 1 1 3 0 1 , 6 6 4 4 6
M A R 5 4 4 8 6 4 6 8
N o n r o a d 8 7 7 5 3 4 3 4 4 4 6 7 4 1 0
O n r o a d 1 , 6 5 7 9 4 8 7 0 9 7 2 5 9 3 1
T O T A L 4 , 6 6 2 3 , 4 7 2 1 , 1 9 1 3 , 2 6 6 1 , 3 9 7

* Note: Numb ers may not tota l ex ac tly due t o roun di ng. * Page 19 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nTabl e 17: M artinsburg Nonattainme nt Are a VOC Em ission Inventory Totals for 2007, 2017 and 2025 (tpy)

C o u n t y 2 0 0 7 A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7 S a fe t y

M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5 S a fe t y

M a r g i n
B e r k e l e y , W V 3 , 4 4 7 2 , 1 9 7 1 , 2 5 0 2 , 0 4 2 1 , 4 0 5
W a s h i n g t o n , M D 4 , 6 6 2 3 , 4 7 2 1 , 1 9 1 3 , 2 6 6 1 , 3 9 7

2 M a r t i n s b u r g S O T o t a l 8 , 1 0 9 5 , 6 6 8 2 , 4 4 1 5 , 3 0 8 2 , 8 0 2 * Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

2 .5 x 2 3 F
. Summ ary of PM , NO , SO , NH and VOC E m ission Reductions

Tabl e 18: We st Virginia P ortion of the Martinsburg Area C om parison of 2007 attainm ent year and 2017 and 2025 p roje cte d em ission estim ates ( tpy)

2 0 0 7 A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7

P r o j e c t e d D e c r e a s e 2 0 2 5

M a i n t e n a n c e 2 0 2 5

P r o j e c t e d D e c r e a s e

2.5 P M 1 , 1 5 4 1 , 0 2 5 1 2 9 1 , 0 1 5 1 3 9

x N O 8 , 4 7 3 4 , 8 5 3 3 , 6 2 0 4 , 0 2 6 4 , 4 4 7

2 S O 1 , 8 3 3 1 , 6 6 7 1 6 6 1 , 7 7 6 5 7
N H 3 3 1 7 3 0 2 1 5 3 0 8 9
V O C 3 , 4 4 7 2 , 1 9 7 1 , 2 5 0 2 , 0 4 2 1 , 4 0 5 Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

Tabl e 19: M aryland Por tion of the Mar tinsbu rg Ar ea Com parison of 2007 attainm ent year and 2017 and 2025 p roje cte d em ission estim ates ( tpy)

2 0 0 7 A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7

P r o j e c t e d D e c r e a s e 2 0 2 5

M a i n t e n a n c e 2 0 2 5

P r o j e c t e d D e c r e a s e

2.5 P M 1 , 3 0 1 1 , 1 6 3 1 3 8 1 , 1 3 9 1 6 2

x N O 1 0 , 7 8 1 7 , 2 3 3 3 , 5 4 8 6 , 0 0 4 4 , 7 7 7

2 S O 7 , 1 8 3 5 , 9 6 2 1 , 2 2 1 5 , 9 6 7 1 , 2 1 6

3 N H 1 , 2 0 6 1 , 1 8 4 2 2 1 , 1 9 2 1 4
V O C 4 , 6 6 2 3 , 4 7 2 1 , 1 9 1 3 , 2 6 6 1 , 3 9 7 Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

Page 20 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nTabl e 20: M artinsburg Area Com parison of 2007 attainm ent yearand 2017 an d 2025 projec ted em ission estim ates (tpy)

2 0 0 7 A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7

P r o j e c t e d D e c r e a s e 2 0 2 5

M a i n t e n a n c e 2 0 2 5

P r o j e c t e d D e c r e a s e

2.5 P M 2 , 4 5 5 2 , 1 8 8 2 6 7 2 , 1 5 4 3 0 1

x N O 1 9 , 2 5 4 1 2 , 0 8 6 7 , 1 6 8 1 0 , 0 3 0 9 , 2 2 4

2 S O 9 , 0 1 6 7 , 6 2 9 1 , 3 8 7 7 , 7 4 3 1 , 2 7 3

3 N H 1 , 5 2 2 1 , 4 8 5 3 7 1 , 5 0 0 2 3
V O C 8 , 1 0 9 5 , 6 6 8 2 , 4 4 1 5 , 3 0 8 2 , 8 0 2 Note: Numb ers may not tota l ex ac tly due t o roun di ng. *

2 .5 As shown in the table a

bove (Ta ble 20), PM emissions in the nonattainment are a ar e proje cted to

x decr ease from the maintenanc e plan base year b y 2 6 7 t o n s i n 2017 and 301 tons in 2025. NO emissions in the nonattainment are a are projec ted to de cre ase by 7,168 tons in 2017 a nd 9,224 tons

2 in 2025. SO emissions in the nonattainment are a are projec ted to decline by 1,387 tons in 2017 and

3 1,273 tons in 2025. NH emissions in the nonattainment are a are projec ted to decr ease by 37 tons in 2017 and 23 tons in 2025. VOC emissions in th e n o n att ainment are a are projec ted to decr ease by 2,441 tons in 2017 and 2,802 tons in 2025.

2 .5 x 2 3 The Martinsburg are a shows projec ted net reduc tions in PM , NO , SO , NH and VOC emissions. Cleaner vehicles and fuels are expected to be in place in 2017 and 2025, and CAIR rema ins in place until a CAI R Replace ment Rule is finalized, these programs should cause an overa ll drop in the emissions of all five pollutants. Dec rea ses from EPA rules covering Tier 2 Motor Vehicle Emissions St a n d a rd s a n d G a s o lin e Sulf

u r Co ntro l Re q

u ir ements [65FR6698,10FEB 200 0 ], H ig hw a y H e a vy- D uty Eng ine Rule [62FR54694, 21OCT1997], and the Non-Road Diese l E n gine Rule [63FR56968, 23OCT1998] are fa ctore d into the chang es.
G. Air Quality Im provem ent is Based on Per m anent and Enf orce able Emission Reductions A demonstration that improveme nt in air quality betwee n the year violations occur red a nd the year attainment was achie ved i s b as ed on perma nent and enfor cea

ble emission reduc tions and not on temporar y adver se ec onomic conditions or unusually favor able mete orology
.

2 .5 Ambient air quality data from all monitoring sites indicate that air quality met the NAAQS for PM in 2007-2009, 2008-2010 and in 2009-2011. EPA’s rede signa tion guidance (Policy Memo from J ohn Calcagni, Direc tor, Air Quality Manag ement Division to Reg ional Air Direc tors: Air Procedure s for Processing Reque

sts to Rede

signate Areas to Attainment ), dated September 4, 1992 (p. 9) states: “A state may g ener ally demonstrate maintenanc e of the NAAQS by either showing that future emissions of a pollutant or its pre cursor s will not exceed the level of the attainment inventory , or by modeling to show that the future mix of source s and emissions rate s will not cause a violation of the NAAQS.”

Page 21 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n2 .5 x 2

Permane nt and enforce able reductions of PM , NO , SO and VOC e missions have c ontributed to

2 .5 the attainment of the annual PM standard. Some of these reduc tions wer e rea liz ed du e t o th e application of tighter fede ral standards on highw ay heavy-duty eng ines (Control of Emissions of Air Pollut ion from Highway Hea vy Duty Eng ines) and Nonroa d diesel eng ines (Control of Emissions of Air Pollut ion from Nonroa d Diesel Eng ines), the application of tighter fede ral standards on new vehicle s (C o n trol of Air Pollut ion from New Motor Vehicle s: Tier 2 Motor Vehicle Emission

x Standards and Gasoline Sulfur Control Requirements), Title IV of the CAA, the NO SIP Call, CAI R, CSAP R, and the implementation of both major source and are a source MACT standards. Reductions achie ved ar e discussed in greater de tail under Sec tion V.

H. Em ission s Tracking
Provisions for future annual up dates of the inventory to enable trac king of the emission levels, including a

n annual e mission s tatement fr om major source s.
In West Virg inia, major point source s in all counties are require d to submit air emissions information

2 .5 annually

. West Virg inia DAQ prepa res a new periodic i nventory for all PM prec ursor emission sectors ever

y three year s in acc ordanc e with EPA’s Air Emissions Reporting Requirements (AERR).

2 .5 These PM prec ursor inventories will be prepa red for future year s as nece ssary to c omply with the inventory repor

ting require ments established in the CFR. Emissions information will be compar ed to the 2005 base year and the 2025 projec ted maintenanc e year inventories to assess emission trends,

2 .5 as nec essar

y , and to assurecontinued complianc e with the annua l PM standard.

Page 22

2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nIV. TRANSP ORTATION ANALYSIS

A. Onroad E m ission Estim ations
This section provides a summary of the on-roa d (highway ) mobile source emissions inventory for the Be rke ley Cou

nty, We s t V irg inia p o r

ti o n o f th e M a

r tin s b u rg - H ag erstown, WV-MD nonattainment are a

2 .5 under the 1997 annual PM National Ambient Air Quality Standards (NAA QS). The estimations; methodology ; and conc lusions have bee n revie wed through the Inter-A g ency-Consultation process detailed in West Virg inia’s SIP- a pp ro v e d M e mo ra

n d u m o f U n d e r s ta n ding (MOU) [73 FR 24175].The inventory was develope d using EPA’s Motor Vehicle Emissio n S i mulator (MOVES) model. The section includes a

summary of the methodology

and data assumptions used for the a naly sis.
1. Ba ckground Be rkele y County (West V irg inia) and Washington County (Mar yland), two of the county jurisdictions in th e H ag e r s to w

n E a s ter n Pa nh a n dle M e tro p o li ta

n Pl a n n ing O rg anization (HEPMPO), are designated

2 .5 nonattainment for the 1997 annual PM NAAQS. Ba sed on rec ent monitor rea dings showing compliance with the standard, a rede signation reque st and ten-year maintenanc e SI P h as b een prepa red for the are a. This highw ay inventory supports the SI P by providing estimated highw ay emissions for the 2005, 2007, 2017 and 2025 analy sis year s for the Be rkele y County , West Virg inia portion of the nonattainment are a. One or more of the analy sis year s in the projec ted inventory may be designated as motor vehicle emission budg ets (MVEB s) in support o f future reg ional transportation confor

mity analy ses. The transportation plans and programs for the reg ion must be in
co n fo rm ance with all the provisions in the SI P and demonstrate that fore caste d reg ional vehicl e emissions do not ex cee d the established MVEB s.
The inventory is based on the latest planning assumptions including the use of reg ional planning tools maintained by

the HEPMPO, which is the re sponsible Metropolitan Planning Org anization (MPO) for the are a. Th e highw ay emissions inventory has been estimated using MOVES, EPA' s curr ent s t at e- of-the- art tool for estimating emiss ions from highway vehicles. Compared to previous tool s, MOVES incorpora

tes the latest emissions data, more sophisticated calc ulation alg orithms, incre ased
user flexibi lity , new softwar e design, and additional capa biliti es. EPA announce d the rele ase of MOVES2010 in Marc h 2010 (75 FR 9411), and rele ased a minor rev ision as MOVES2010a in September 2010. In April 2012, EPA rele ased MOVES2010b to allow users to benef it from sever al improvements t o g eneral m odel performanc e. MOVES2010b does not aff ect t h e cr i t eria pollutant emis s i o n s re s u l t s of MOVES2010a and there fore is not a new model. Ba sed on the timing of the analy sis, this highw ay

emissions inventory

utiliz es the MOVE S2010a model.
2. Highway

Emissions Table 21 summarizes the annual highw ay emissions inventory for the Be rkele y County portion of the

2 .5 2 .5 PM nonattainment are a. T h e inventory includes direc t PM (fr om tailpipe, brake wea r and tire

x 2 3 wear) ox ides of nitrog en (NO ) and sulfur diox ide (SO ), ammonia (NH ) and Volatile Org anic Compounds (VOC). The emission estimates have been develope d using the MOVES2010a emission model and latest planning assumptions. In addition to the require d analy sis year s, test runs wer e also conducte d for the current HEPMPO L ong Rang e Transpor tation Pl an (LRTP) 2040 horizon year
. Available data on projec ts and land use wereused t o prepa re this fore cast. The 2040 analy sis year

2 .5 has been included to illustrate the pot ential trends in PM emissions due to the limited impacts of Page 23 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nvehicle turnover and techn o l o gy i n that timeframe

. These emission trends are considere d in the

development of

final MVEB s and saf

ety marg ins.

Tabl e 21: Sum m ary of High way E m ission s Inventory

P ollutan ts Em ission s (Short Ton s/Y

ear) 2005 2007 2017 2025 2040

2 .5 P M 199.2 176.5 65.6 39.7 36.9

x NO 5,520 5,005 2,016 1,277 1,142

2 SO 108.8 30.0 9.8 9.9 11.2

3 NH 52.2 51.8 35.8 35.7 40.0 VOC 1472.9 1378.4 673.4 498.1 442.4

3. Analy sis Methodology and Data Inputs T he analy sis methodology and data inputs wer e develope d through interag ency co n s u lta ti o n a n d u s ing available EPA guidance documents including :

• Policy Guidance on the Use of MO V E S 2 0 1 0 and Subsequent Minor Rev isions for SIP Dev elopment, Transportation Conformity, and Other Pu rposes , US EPA Offic e of Air and Radiation, EPA-420-B -12-010, April 2012.

• Usi n g MO V

E S to prepare Emission Inve ntories in State Implem entation Plans and T r a n sportation Conformity: Technical Guidance for MOVES2010, 2010a and 2010b

. US E P A Offic e of Air and Radiation, and Offic e of Transpor tation and Air Qua l i ty , EPA-420-B -12-028, April 2012.

• Motor Vehicle Emission Simulator, User Guide for MOVES2010a , EPA-42 0 -B-10-036, August 2010.
The methodologie s used to produce the emission data confor m to the rec ommendations provided in EPA’s technica l guidance

. A mix of local and national defa ult (internal to MOVES2010a) data has been used for this submissi on. As illustrate d in Figure 5, local data has been used for the primary data items th at h av e a signific ant impact on emissions including vehicle miles of trave l, vehicle population, cong ested speeds, vehicle ty pe mix and environmenta l and fuel assumptions. L ocal data inputs to the analy sis proce ss ref lect the latest available planning assumptions using i n fo rm at i on obtained fr om the WVDOT, DEP, HEPMPO and other loca l/national sources.
The analy sis methodology used for this inventory is consistent with that planned for future HEPMPO transportation confor

mity analy ses including the latest L RTP. This inc ludes the use of the reg ional trave l demand model outputs and custom post-proc essingsoftwar e (PPSUI TE) to ca lculate hourly

Page 24 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nspeeds and prepare key traffic input files to the MOVES2010a emission model. PPSUITE consists of a set of programs that perform the following functions: • Analyzes highway operating conditions. • Calculates highway speeds. • Compiles vehicle miles of travel (VMT) and vehicle type mix data. • Prepares MOVES runs and processes MOVES outputs. Figure 5. Local Data Inputs Used for Emissions Inventory

PPSUITE is a widely used and accepted tool for es timating speeds and processing emissions rates. It is has been used for past SI P highway inventories in Maryland, Pe nnsylvania, and New Jersey. The software is based upon accepted transportation e ngineering methodologies. For example, PPSUITE utilizes speed and delay estimation procedures based on planning methods provided in the Highway Capacity Manual, a report prepared by the Transportation Research Board (TRB) summarizing current knowledge and analysis techniques for capacity and level-of-service analyses of the transportation system. The PPSUITE process is integral to producing tra ffic-related input files to the MOVES emission model. Exhibit 4 summarizes the key functions of PPSUITE within the emission calculation process. Other MOVES input files are prepared external to the PPSUITE software. These include vehicle population, vehicle age, environmental, and fuel input files. 

## Local Data Assumptions VMT (HEPMPO Model)
Speeds (Calculated)

Vehicle Mixes

(WVDOT Counts)

Vehicle Population and

Age (DEP & WVDMV) Seasonal / Hourly Factors

(WVDOT) Environmental and Fuel Data (DEP) Control Strategies

(DEP)

Page 25 Martinsburg, WV 1997 PM 2.5 Redesignation and Maintenance PlanFigure 6. Emission Calculation Process

The following subsections provide additional detail on the input planning assumptions and analysis methodology including a description of data sour ces, the role of MOVES default parameters and additional details on the role of PPSUITE in deve loping the traffic input data files to MOVES. B. Description of Input Data A large number of inputs to MOVES are needed to fully account for the numerous vehicle and environmental parameters that affect emissions. These include traffic flow characteristics, vehicle descriptions, fuel parameters, inspection/maintenance program parameters, and environmental variables as shown in Figure 7.
MOVES includes a default national database of me teorology, vehicle fleet, ve hicle activity, fuel, and emission control program data for every county; but EPA cannot certify that the default data is the most current or best available information for any specific area. As a result, local data is recommended for use in SIP analyses, where available.
A mix of local and default data is used for this i nventory. Local data sources are used for all inputs that have a significant impact on calculated emission rates. These data items are discussed in the following subsections. Expand Volumes to 24 Hours

HEP Travel Demand Model

% Pattern Distributions A pply VMT A djustments A djust Volumes for Peak Spreading

V/C thresholds for

spreading Disaggregate to Vehicle Types

Vehicle Mapping File Calculate Link Mid-block Speed and A pproach

Delays Roadway attributes (Lanes, FC, AT, other)

Lookup Table A pply Pos t Speed VMT A djustments Prepare MOVES CDM Files

VHT by Speed Bin

A nnual VMT

Road Type Fractions

Source Type Population Per VMT <Optional >

Hourly Fractions

Ramp Fractions <Optional >

Page 26 Martinsburg, WV 1997 PM 2.5 Redesignation and Maintenance PlanFigure 7. Examples of Key MOVES Input Data

1. Roadway Data The roadway data input to emissions calculations fo r this inventory is based on information from the HEPMPO regional travel demand model as used for the region’s LRTP, Direction 2035. The travel model, as illustrated in Figure 8, estimates road way volumes based on input demographic forecasts and expected changes to the transportation roadway network.
The HEPMPO travel demand model follows the basi c “four-step” travel demand forecasting process and utilizes the TransCAD software platform. Given the small portion of daily travel carried by the bus system in the Hagerstown and Martinsburg re gions, a separate mode choice or transit model is not included. Auto-occupancy factors are used to convert person trips into vehicle trips. The model is driven by socio-economic and trans portation network data. These data include items such as zonal population, households, income, sc hool enrollment, and employment by type for 494 zones defined in the region. Transportation network data includes facility type, length, and speed limit for each of the highway links defined in th e region. The highway network database contains attributes for each individual line in the line layer and includes all attributes needed to perform a traffic assignment. The travel model and associ ated land use inputs used for this inventory were based on the assumptions used for the 2035 LRTP submitted in June 2010.

Page 27 Martinsburg, WV 1997 PM 2.5 Redesignation and Maintenance PlanFigure 8. HEP Regional Travel Demand Model

The travel model network and assigned traffic vol umes are processed by the PPSUITE post processor to prepare the traffic inputs needed to the MOVES emission model. The following information is extracted from the model for emission calculations:
• lanes • roadway capacity • distance • weekday traffic volume • area type code • facility class code The volumes and distances are used in calculating highway VMT totals for each county. Forecast traffic volumes from the regional travel model are based on the input demographics. Table 22 summarizes the demographics used for the Direc tion 2035 LRTP and for this emissions inventory. As discussed in the next subsection, adjustments are needed to convert the traffic volumes (and VMT) to average daily conditions in each month. Additional forecast year demographics needed for this inventory, including 2017 and 2025, were determined through interpolation. The lane values, capacities, area type, and facility class are important inputs for determining the congestion and speeds for individual highway segm ents. The PPSUITE processing software allows for many additional variables other than those available in the regional travel model. Using these variables improves the calculation of congested speeds. Such variables include information regarding free-flow speeds, traffic signal and control parame ters, and volume-delay functions. This data is determined from lookup tables based on the model li nk’s area type and facility class. Much of the lookup table data was developed from informati on contained in the Highway Capacity Manual.
Page 28 Martinsburg, WV 1997 PM 2.5 Redesignation and Maintenance PlanTabl e 22: D em ographic Gr owth Assum ptions to the Travel Model

County Year P opul ation Househol ds Em ployme nt

Washin gton 2008 146,337 57,277 82,377

2035 199,253 79,913 106,048 Annual Gr owth 1.1% 1.2% 0.9%

Berkeley 2008 101,125 41,208 42,702

2035 140,905 61,808 61,349 Annual Gr owth 1.2% 1.5% 1.4%

Jeff erson 2008 51,806 20,908 21,489

2035 79,053 35,624 32,687 Annual Gr owth 1.6% 2.0% 1.6%
Region 2008 299,268 119,393 146,568

2035 419,211 177,345 200,084 Annual Gr owth 1.3% 1.5% 1.2%

2. Other SupportingTraf fic Data Other traff

ic data is used to adjust and disag greg ate tra ff i c v olumes. Key source s used in these proce sses include the f

ollowing:

• HPMS VMT: Acc ordi n g t o E P A guidance , baseline inventory VMT computed from the reg ional model must be adjusted to be consistent with HPMS VMT t otals. Although it has
some limit ations, the HPMS sy stem is curr ently in use in all 50 states and is being improved under FHWA direc tion. Adjustment fac tors are calc ulated wh ich a d ju s t the trave l model VMT to be consistent with the repor ted HPMS totals for that year
. These fac tors are applied to all county and fac ility group combinations within the r eg ion. These adjustments a re important for acc ounting for missin g local roadw ay VMT that is not repr esente d within the reg ional trave l mode l. For historic analy sis year s (e.g

. 2005 and 2007), VMT has been rec onciled to match the r eporte d VMT for e ach of those year s.

• Seasonal Factors: Th e trave l model produce s traff ic volumes repr esenting an aver ag e wee kday

. To support the annual emission calc ulation proce ss, the model trave l volumes are adjus t ed t o ref

lect aver ag e annual daily traff ic (AAD T), an aver ag e of all day s in the year incl u d ing wee kends and holiday s. Seasonal adjustment fac tors were obtained from the WVDOT. The fac tors are based on data proce ssin g of West Virg inia’s perma nent traff ic count stations. The seasona l fac tors are also used to develop the MOVES daily and monthly VMT fraction fil es, allowing MOVES to deter mine the porti on of annual VMT that occurs in eac h month of the year
. Page 29 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n• Hourly P a t t er n s : Speeds and emissions vary considera bly depending on the time of day

. There fore , it is important to estimate the pattern by which roadw ay volume varie s by hour of the day

. Pattern data is in the form of a perc entage o f the daily volumes for eac h hour. Distributions are provided for all the counties within the reg ion and by eac h fac ility ty pe grouping

. This data was not direc tly available from WVDOT but was deter mined through an as s es s m en t of available data in other states. The same fac tors are also used to develop th e MOVES hourly

fra ction file.

3. Vehicle Class Data Emission rate s within MOVES vary signific antly by the ty pe of vehicle. The MOVES model produce s emissions a

nd rate s by thirteen MOVES vehicle source ty pes. Howeve r, VMT is input to MOVES by six HPMS vehicle groups. Table 23 summarizes the distincti on betwee n eac h classification scheme.

Tabl e 23: M OVES S ource Types and HPM S Vehicle G roups

SOURCE TYPES HPMS C lass Groups 11 Motorcycle 10 Motorcycle 21 Passeng er Car 20 Passeng er Car 31 Passeng er Tr

uck 30 Passeng er/L ight Tr uck 32 L ight Commerc ial Truck 40 Buse s 41 Interc ity

Bus 50 Single Unit Truc ks 42 Transit B us 60 Combination Trucks 43 School bus 51 Refuse Tr

uck 52 Single Unit Short-haul Tr uck 53 Single Unit L ong -haul Tr uck 54 Motor Home 61 Combination S hort-haul Tr uck 62 Combination L ong -haul Tr uck

For this reg ional inventory , vehicle ty pe pattern data was develope d for eac h county and fac ility class combination based on WVDOT classification counts and internal MOVES defa ults. As the first step, WVDOT truck count data was used to develop perc entag e splits of the total volume to the following vehicle groups:

• autos

• heavy trucks and buse s
MOVES defa

ult 2008 VMT by HPMS vehicle ty pe (for Be rkele y county

) wer e then used to split the above ve hicle groups (a

utos and trucks) into the 6 HPMS vehicle c lasses nee ded by MOVES.

Page 30 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nThe vehicle ty pe perc entag es are also provided to the capa city analy sis section of PPS UI TE to adjust the speeds in response to trucks. That is, a g iven number of larg er trucks take up more roadw ay space than a g iven number of car s, and thi s is acc ounted for i n the s peed estimation proce ss by adjusting capa city using infor

mation from the Highway Capac ity Manual.
4. Vehicle Ag es Vehicle age d i s tri b u t i o n s are input to MOVES for eac h county by the thirteen source ty pes. The distributions ref

lect the perc entag e of vehicles in the flee t up to 31 y ea rs o l d

. The vehicle ag e distributions wer e prepa

red by DEP based on information obtained from West Virg inia Division of Motor Vehicle (WVDMV) 2010 reg istration data. MOVES defa ult values by analysis year wer e used for sourc e ty

pes 41, 42, 43, 51, 52, 53, 61, and 62, which includes a ll heavy trucks and buse s.
5. Vehicle Population Data The information on the vehicle flee t including the number and ag e of vehicles impacts fore caste d start and evapor ative emissions within MOVES. Simi lar to vehicle ag es, MOVES require s the population of vehicles by the thirteen source ty pe cate g ories. The MOVES national defa ult values for cale ndar year 2010 provided the data for source ty pes 51, 52, 53, 61 and 62. All other light-duty vehicles, buses and motor homes were develope d based on WVDMV re gi s tra t ion data. This data was proce ssed by

DEP based on 2010 r eg istration data.

For the prepa

ration of source ty

pe po p u l at ion for other year s, the 2010 values wer e adjusted using growth fac tors based on historic and fore cast population and employ ment for the reg ion from the Woods and Poole 2012 State Profile. For light-duty vehicles, growth rate s wer e develope d based on the population growth in Be rkele y County

. For hea v y tru ck s , growth rate s were deter mined by selec ting the max imum of the population and employ ment growth for

that county

. 6. Environmental and F uel Data Information on environmenta l, fuel, vehicle technology and other control strategy assumptions wer e deter mined based on a revie w of MOVES2010a defa ult information and other available local data.
Aver ag e monthly minimum and maxi mum temperatures wer e obtained from the South East Reg ional Clim ate Center (SERCC ). EPA’s MOBIL E6.2-MOVES meteorolog ical data conver tor sprea dsheet (ava ilable from http://www.epa.g ov/oms/m odels/m oves/tools.htm) was used to prepa re the hourly temperature input s n ee d ed for the MOVES model based on the available data. MOVES defa ult humidity values we re use d for the c ounty

. MOVES defa

ult fuel assumptions wer e updated with the following local data assumptions by season:

• Summer (months 5-10): RVP=10 for E10 f uel; RVP=9 for c onventional g asoline

• Wint er ( months 1,2,12): RVP =14

• Other ( months 3,4,11): Uses MOVES defa ult RVP that varie s by

year
The MOVES defa

ults included a 29% marke t share of E10 fuel in 2007 and a 100% marke t share of E10 fuel in futureanaly sis year s.
7. Other V ehicle T echnology and Control Strategy

Data Page 31 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nWest Virg inia does not have a vehicle inspection maintenanc e program and there are no state vehicle

technology stra

te g ie s included in the highw ay emissions inventory

. Current fede ral vehicle emissions control and fuel programs are incorpora ted into the MOVES2010a softwar e. These incl u d e the National Program standards covering model year vehicles through 2016. Modifications of defa ult emission rate s are require d to ref lect the early implementation of the National L ow Emission Vehicle Program (NLEV) program in West Virg inia. To ref lect these impacts, EPA has rele ased instructions and input files that can be used to model these impacts. This invent o ry utiliz ed the August 2010 version of the files (http://www.epa .g ov/oms/m odels/moves/tools.htm).
C. Analysis Methodology
The previous subsections have summarized the input data used for computing spe eds and emission rate s for this highw ay emissions inventory

. This subsection expla i n s how PPS UI TE and MOVES uses that i nput data to produce emission estimates. Figure 9 provides a more detailed overvie w of the PPS UI TE analy sis proce dure using the available traff ic data information described in the previous subsection.
1. VMT Prepa

ration Producing an emissions inventory with PPS UI TE requ i re s a proce ss of disag greg ation and ag greg ation. Data is available and used on a very small scale - individual trave l model roadw ay segments for eac h of the 24 hours of the day

. This data needs to be proce ssed indi v i du al l y to deter mine the distribution of vehicle hours of trave l (VHT) by speed and then ag greg ated by vehicle class to deter

mine the i nput VMT t o the MOVES emission model. Key steps in the preparation of VMT include:

• Assemble Travel Model Link V MT - T h e HEPMPO reg ional trave l model contains the
ro ad way links, distances and trave l volumes neede d to estimate VMT. The PP S UITE softwar e proce sses eac h link by simply multipl ying the assigned trave l volume by the distance to obtain VMT. Highway networks for analy sis year s not available from the past confor mity
runs ar e ca lculated by

interpolatingVMT from e x isting networ ks.

• Apply Seasonal Adjustments - PPS UI TE takes the trave l model aver ag e wee kday volumes and adjus ts the volume to ref

lect aver ag e annual conditions (AAD T). The AADT volumes ar e used in the speed proce ssing routines to deter mine an aver ag e set of cong ested speeds by hour of the day

. The link AADT volumes are assembled by PPS UI TE and extrapolated to produce the annua l VMT file input to MOVES.

• Disaggregate to H

ours - After

adjusting the link volume to represe nt AADT, the volume is spl i t t o ea ch hour of the day

. This allows for more accurate speed calc ulations (ef fec ts of cong ested hours) and allows PPS UI TE to prepa re the hourly VMT and speeds for input to the MOVES model.

• Peak S

p r ea di n g - After dividing the daily volumes to eac h hour of the day , PPS UI TE identifies hours that areunrea sonably cong ested. For those hours, PPS UI TE then sprea ds a portion of the volume to other hours within the same peak period, thereby approximating the “pea k sprea ding” that normally occur s in such over- capa cit y conditions. This proce ss also Page 32 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nhelps preve nt hours with unrea sonably cong ested speeds that may i mp ac t emission

calc ulations.

• Dis ag gregation to Vehicle Types - EPA require s VMT estimates to be prepa red by source ty pe, ref lecting specific local char acte ristics. The hourly volumes are disag greg ated to the six HPMS MOVES vehicle grouping based on WVDOT vehicle classification count data in combination with MOVES defa ults as describe d in the previous subsec tion.

• Apply HPM

S VMT Adjustments - Volumes must also be adjusted to account for differ ence s with the HPMS VMT totals, as described previously

. VMT adjustment fac tors are provided
as input to PPS UI TE, and are applied to eac h of the roadw ay segment volumes. These fac tors wer e develope d from repor ted HPMS VMT totals for year s 2005, 2007 and 2008. The 2008 fac tors are applied to future year runs. The VMT added or subtracte d to the trave l model links
assume the speeds calc ulated using the orig inal volumes for eac h roadw ay segment for eac h hour of the da

y
.

Page 33 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nFigure 9. PPSUITE Speed/Emission Estimation Procedure

Page 34 Martinsburg, WV 1997 PM 2.5 Redesignation and Maintenance Plan2. Speed Estimation Emissions for many pollutants (including both VOC and NO x ) vary significantly with travel speed. While VOCs generally decrease as speed increases, NO xdecreases at the low speed range and increases at higher speeds, as illustrated in Figure 10.

Figure 10. Emission Factor vs. Speed Variances (NO x )

Source: Figure 3 from Implications of the MOVES2010 Model on Mobile Source Emission Estimates, Air & Waste Management Association, July 2010 EPA recognizes that the estimation of vehicle sp eeds is a difficult and complex process. Because emissions are so sensitive to speeds, it recomme nds special attention be given to developing reasonable and consistent speed estimates; it also recommends that VMT be disaggregated into subsets that have roughly equal speed, with separateemission factors for each subset. At a minimum, speeds should be estimated separately by road type. The computational framework used for this analysis meets and exceeds that recommendation. Speeds are individually calculated for each roadway segment and hour and include the estimated delays encountered at signals. Rather than accumulating th e roadway segments into a particular road type and calculating an average speed, each individual link hourly speed is represented in the MOVES vehicle hours of travel (VHT) by speed bin file. This MOVES input file allows the specification of a distribution of hourly speeds. For example, if 5% of a county's arterial VHT operates at 5 mph during the AM peak hour and the remaining 95% operates at 65 mph, this can be represented in the MOVES speed input file. For the highway emissions inventory, distributions of speeds are input to MOVES by road type and source type by each hour of the day.

Page 35 Martinsburg, WV 1997 PM 2.5 Redesignation and Maintenance PlanTo calc ulate speeds, PPS UI TE first obtains initial capa cities (how much v o l u m e the roadw ay can

serve befor e heavy cong estion ) and fre e-f low speeds (spee ds assuming no cong estion) from the speed/c apac ity lookup data. As described in previous subsections, this data contains defa ult roadw ay information indexed by the are a and fac ility ty pe codes. For are as with known char acte ristics, values can be di rec tly coded to the databa se and the speed/c apac ity data can be overridden. However, for most area s whereknown information is not available , the s peed/c apac ity lookups provide valuable defa ult information reg arding speeds, capa cities, signa l char act eristics, and other capa city adjustment information used for calc ulating co n ges t ed delays and speeds. The result of this proce ss is an estimated aver ag e trave l time for eac h hour of the day for eac h highw ay segment. The aver ag e time multipl ied by

the volume produc es vehic le hours of tra vel (VH T).

Deve loping the MO VES Traf fic Input Files:
The PPS UI TE softwar e is responsible for producing the following M OVES input files during any analy sis run:

• VMT by

HPMS vehicle class

• VHT by

speed bin

• road ty

pe distributions

• ramp fr actions (UseMOVES defa ults)
These files are text formatted files with a *.csv extension. The files are provided as inputs within the MOVES County

Data Ma nag er ( CDM) and a

re de scribed be low:

• VMT Input File : VMT is the primary traff ic input that aff

ects emission results. The roadw ay segment distances and traff ic volumes are used to prepa re estimates of VM T

. P P S UI TE perf orms these calc ulations and outputs the MOVES annual VMT input file to the County Data Manag er (C DM ). The annual VMT is computed by multipl ying the trave l model adjusted AAD T by

365 day s in a year
.

• VHT by Speed Bin File : As described in the previous subs ec t ion, the PPS UI TE softwar e prepa res the MOVES VHT by s p ee d bin file which summarizes the distribution of speeds
across all links into eac h of 16 MOVES speed bins for eac h hour of the day by road ty pe. This robust pr ocess ensure s that MOVES emission rate s are used to the fullest extent and is consistent with the methods and re commendations provided in EPA’s te chnica l guida nce.

• Road Type Distributio n s : I n M O V E S, ty

pical drive cycles and associate d operating conditions vary by the ty pe of r oadwa

y . MOVES define s five diffe rent roa d ty pes as f ollows:

1 Off-Networ

k 2 Rural Restricted A cce ss 3 Rural Unre stricted Ac cess 4 Urba n Restricted Ac cess 5 Urba n Unre stricted Ac cess

Page 36 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nFor this inventory , the MOVES road ty pe distribution file is autom atically g ener ated by PPS UI TE
u sing define d equivalenc ies. The off- network road ty pe includes emissions from vehicl e s t art s , extended idle activity , and ev ap o rative emissions. Off- network activity in MOVES is primarily deter mined by the Source Ty

pe Popula t i on input. The rema ining distribution among road ty pes is deter mined by equating the model fa cility

ty pes with ea ch MOVES roa d ty pe as f ollows:

• MOVES Road Ty

pe (2) = Rural tra

vel model interstate a

nd ramps

• MOVES Road Ty

pe (3) = All re maining Rura l travel model fa cility ty pes

• MOVES Road Ty

pe (4) = Ur

ban travel model interstate a nd ramps

• MOVES Road Ty

pe (5) = All re maining Urban tra vel model fa cility

ty pes

• Ramp Fractions: MOVES defa ult Ramp Fr action file (a ssuming 8% of ramp VMT fra ction for both urban a

nd rura l links) is used as inputs to M OVES.
3. MOVES Runs After computing speeds and ag greg ating VMT and VHT, PPS UITE p re pare s traff ic-re lated inputs neede d to run EPA’s MOVES2010a software. Additional require d MOVES inputs are prepa red external to the proce ssing softwar e and include temper at ures, I/M program para meters, fuel char acte ristics, vehicle f

leet ag e distributions and source ty pe population.

T h e M OVES county importer is run in batch mode. This program conver ts all data fil es i n t o th e MYSQL formats used by the MOVES model. At that point a MOVES run specific ation file (*.mrs) is cre ated which s p ec i fies options and key data locations for the run. MOVES is then executed in batch mode.
MOVES can b e executed using either the inventory or rate -base d approa ches. For this highw ay emissions inventory , MOVES is applied using the inventory-base d approa ch. Under th i s method, actua l VMT and population are provided as inputs to the model; MOVES is responsible for producing the total emissions for the reg ion. Under the rate -base d approa ch, MOVES would produce emission fac tors, afte r which PPS UI TE would apply the emission fac tors to the link data and calc ulate total reg ional emissions.

Page 37 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nTable 24: MOVES Run Data Checklist

Note: Because of regulatory requirements after th e checklist was developed, the precursors ammonia and Volatile Organic Compounds (VOC) were later added to the emission estimates. Data Item Inputs Assumptions MOVES RunSpec Scale/Calulation Type County Scale Inventory Run

Seasonal Analysis Annual - 12 months including weekdays and weekend (using AADT approach)

Analysis Years 2005, 2007, 2017, 2025, 2040 (for outyear evaluation - optional to evaluate safety margin)

Pollutants PM 2.5 , NOx, SO 2 Stage II Refueling Emissions Not Applicable Fuel Types Gasoline, Diesel, CNG Traffic Data Base networks are those used for past HEPMPO LRTP analyses and conformity Years not available are calculated by interpolating VMT from existing networks Seasonal/Daily Adjustments Factors to develop MOVES daily and monthly VMT fraction files as inputs. Seasonal adjustment factors received from WVDOT. County HPMS VMT Adjustments Calculate AADT HPMS adjustments for 2005, 2007 and 2008 (Ensure VMT for past years is consisitent with reported HPMS); HPMS VMT obtained from WVDOT website.

Vehicle Mixes MOVES VMT required by 6 HPMS vehicle classes. Obtain WVDOT truck count data to determine average truck percentages by functional class; Split model traffic volumes into auto and trucks using these percentages and then use MOVES default VMT distributions for the Charleston region to divide the two vehicle groups (auto and trucks) into MOVES 13 source types, which are recombined to the 6 HPMS vehicle classes. MOVES Inputs

Annual VMT Calculated by PPSUITE from Model network database / seasonal factors / vehicle mapping Avg. Hourly Speed Distribution Calculated by PPSUITE (Minimum Speed = 2.5 mph); Based on Model volumes and speed post processing by hour of day. Road Type Distribution Calculated by PPSUITE; a RoadType field must be added to the Model network based on FC. Ramp Fraction MOVES defaults

Month VMT Fractions Factors to convert AADT to an average day in each month (Local data or MOVES default). Calculated based on seasonal adjustment factors. Day VMT Fractions Based on AADT assumption (i.e. 5/7 & 2/7)

Hour VMT Fractions Factors to disaggregate daily traffic volumes by hour for different roadway functional classes. Borrow hourly distributions from Washington County, MD.
Source Type Population 2010 Inputs provided by WVDEP --> Adjust/grow to 2005, 2007 and future years by applying factors developed from Woods & Poole population/employment forecast data. (For non-trucks: use population growth. For trucks: maximum of population & employment growth) Vehicle Age Distribution Source Types 11, 21, 31, 32 & 54: based on 2010 WV DMV Registration Data; Source Types 41, 42, 43, 51, 52, 53, 61 & 62: use MOVES National Defaults.

Fuel Parameters (Gasoline/Diesel/CNG) Use MOVES defaults with the following updates to RVP: 1. Summer (months 5 - 10): RVP = 10 for E10 and RVP = 9 for conventional gasoline 2. Winter (months 1, 2, 12): RVP = 14 3. Months 3, 4 & 11: Use MOVES default RVP which varies by year - 10.783 in 2005, 11.339 in 2007, and 12.729 in future years. (Note: MOVES defaults include 29% market share of E10 in 2007 and 100% market share of E10 in future years) I/M Parameters No I/M programs
Temperatures/Humidity Temperatures: Use monthly average Max/Mins provided by WVDEP as inputs to EPA's Mobile6-MOVES converter to develop inputs in MOVES format. Humidity: MOVES defaults Control Programs Early NLEV / CALLEVII Include EPA provided MOVES override database for early NLEV implementation California ZEV Program Not Included

Highway Network

Page 38 Martinsburg, WV 1997 PM 2.5 Redesignation and Maintenance PlanThe following table shows the emissions totals by sector, for each county in the nonattainment area. For a more detailed analysis seeAppendices B, C, D and F.Table 25: Percentage of Charleston Emissions Attributable to Mobile Sources in 2007, 2017 and 20252007 2017 2025 2007 2017 2025 2007 2017 2025 2007 2017 2025 2007 2017 2025BerkeleyCo.,WV Point227 222 239 1,967 1,913 2,070 1,444 1,405 1,521 91 93 97 231 191 207BerkeleyCo.,WV Area 677 694 707 121 110 107 300 249 241 173 172 173 1,386 1,042 1,089BerkeleyCo.,WV LM 32 19 14 943 584 424 34 3 3 0.42 0.45 0.51 63 41 34BerkeleyCo.,WV NonRoad 41 24 14 437 230 149 26 1 1 0.41 0.49 0.58 389 249 214BerkeleyCo.,WV Fire 0 0.07 0.07 0.07 0.02 0.02 0.02 0.01 0.01 0.01 0.00 0.00 0.13 0.04 0.04BerkeleyCo.,WV OnRoad176 66 40 5,005 2,016 1,277 30 10 10 52 36 36 1,378 673 498BerkeleyCo.,WVSubTotal 1,154 1,025 1,015 8,473 4,853 4,026 1,833 1,667 1,776 317 302 308 3,447 2,197 2,042BerkeleyCo.,WVOnroadPercentage 15.3% 6.4% 3.9% 59.1% 41.5% 31.7% 1.6% 0.6% 0.6% 16.3% 11.9% 11.6% 40.0% 30.7% 24.4%WashingtonCo.,MD EGU 310 277 299 1,398 1,390 1,390 5,536 4,590 4,590 0.00 0.00 0.00 10 9 9WashingtonCo.,MD nonEGU 188 188 188 1,982 1,516 1,518 1,277 1,271 1,271 0.00 0.00 0.00 354 353 353WashingtonCo.,MD Area 501 522 538 296 317 339 274 80 83 1,113 1,115 1,116 1,711 1,581 1,664WashingtonCo.,MD MAR 10 5 3 289 196 144 5 2 2 0.00 0.00 0.00 54 48 46WashingtonCo.,MD NonRoad 74 47 33 793 433 301 45 1 1 0.79 0.95 1.07 877 534 467WashingtonCo.,MD OnRoad218 125 78 6,022 3,381 2,312 45 19 21 92 68 74 1,657 948 725WashingtonCo.,MD Subtotal 1,301 1,163 1,139 10,781 7,233 6,004 7,183 5,962 5,967 1,206 1,184 1,192 4,662 3,472 3,266WashingtonCo.,MD OnroadPercentage 16.7% 10.7% 6.8% 55.9% 46.7% 38.5% 0.6% 0.3% 0.3% 7.6% 5.7% 6.2% 35.5% 27.3% 22.2%394 190 117 11,027 5,397 3,589 75 29 31 144 104 110 3,035 1,621 1,2242,455 2,188 2,154 19,254 12,086 10,030 9,016 7,629 7,743 1,522 1,485 1,500 8,109 5,668 5,30816.1% 8.7% 5.5% 57.3% 44.7% 35.8% 0.8% 0.4% 0.4% 9.4% 7.0% 7.3% 37.4% 28.6% 23.1%SO2 NH3 VOCSectorCountyMartinsburg,WV‐MDOnroadTotalMartinsburg,WV‐MDOnroadPercentageMartinsburg,WV‐MDTotalPM2.5 NOxPage 39Martinsburg, WV 1997 PM2.5Redesignation and Maintenance PlanD. MotorVehicle Em ission Bud gets ( MVEBs)

In order to ensure that transporta tion plans can acc ommodate some measure of unexpected growth, WVDEP proposed to establish MVEB’ s that are highe r than the initial projected onr oad (highway ) emission estimates. The MVEB s are here in being ado p t ed an d will become eff ective afte r EPA approva l or a formal adequa cy finding

. The Transpor tation Conformity Rule (40 CFR 93.101) define s Safety margin as:
“the amount by which the total projec ted emissions from all source s of a g iven pollutant are less than the total emissions that would satisfy the applicable requir em en t fo r rea sonable further progress, attainment, or maintenanc e” ( emphasis adde d). Thus, in the context of the maintenanc e plan, there may be safe ty marg ins associate d with the 2017 interim year and separ ate safe ty marg ins associate d with the 2025 end year
. These safe ty marg ins are calc ulated by subtracting the 2017 total emissions (for a g iven pollutant) and the 2025 total emissions (for a g iven pollutant), respe ctivel y , from the 2007 attainment year total emissions (for a g iven pollutant). We may ref

er to the results for a g iven pollutant/precursor as the 2017 safety margin and the 2025 safety margin , respe ctively

. Portions of the orig inal safe ty marg ins may be rea llocated to the MVEB s as long as adequate marg ins
rema in to ensure maintenanc e. It is important to consider that transportation planning org anizations ty pically develop a twenty year L ong Rang e Transpor tation Plan (LRTP) while the initial air quality maintenanc e plan only lasts for ten year s. Under the confor mity rule, the last year of the L RTP must be tested ag ainst the MVEB s established for the last year of the maintenanc e plan. There fore , future transportation confor

mity deter minations will not only be made for the specific year s contained in the maintenanc e plans but also for horizon y ear s contained in the L RTP, which now may extend to the year 2040.
That is, the future expected highw ay emissions, including growth, in 2040 will be compar ed ag ainst the 2025 MVEB s. It is also very important to rec ognize DAQ has littl e prior experience with MOVES in SI P development and must take prudent steps to ensure positive confor mity deter

minations in the
case wher e our ag ency ’s inexperie nce with, or misapplication of, MOVES leads to signific ant undere stimation of future highw ay emissions. There fore , it is DAQ’ s firm position that li b er al amounts of the safe ty marg ins sho u l d b e re al l ocate d to the MVEB s to provide cer tainty in the transportation planning pr ocess.
With respe ct t o the p re cu rsor emissions of ammoni a and VOC, no MVEB s are require d due to the provisions of the Transpor tation Conformity Rule section 40 CFR § 93.102(b)( 2)(v) and the fac t that neither the Administrat o r of EPA nor the State of West Virg inia has made a finding that transportation-relate d emissions of these two prec ursors within the nonattainment are a are a

2 .5 signific ant contributor to the PM nonattainment problem.

Page 40 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nx

1. NO MVEB s

x NO is a prec ursor pollutant and contributes to fine particulate conce ntrations through the formation

x of nitrates. Only a fra ction of the NO emissions is actua lly conver ted. There fore , WVDEP believes

x that relatively

highe r NO emissions (as a perc ent of onroad emissions) may be incor porate d in the MVEB s without endang ering maintenanc e. In this case , WVDEP is adding 30% to the initial highw ay

x emission estimates to set the NO MVEB s for 2017 a nd 2025, respe ctively

.

x T a b l e 2 6 : B e r k e l e y C o u n t y ( W V ) N O E m i s s i o n I n v e n t o r y T o t a l s , O n r o a d ( H i g h w a y ) E m i s s i o n s a n d O r i g i n a l S a fe t y M a r g i n s fo r 2 0 1 7 a n d 2 0 2 5 ( t p y )

2 0 0 7 A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7

O r i g i n a l S a fe t y M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5

O r i g i n a l S a fe t y M a r g i n

x B e r k e l e y C o u n t y N O T o t a l 8 , 4 7 3 4 , 8 5 3 3 , 6 2 0 4 , 0 2 6 4 , 4 4 7
O n r o a d S u b t o t a l 5 , 0 0 5 2 , 0 1 6 n a 1 , 2 7 7 n a T o t a l s m a y n o t s u m e x a c t l y d u e t o r o u n d i n g
.

x x Thus, the original NO 2017 safe ty marg in i s 3 , 6 2 0 tons per year and the orig inal NO 2025 safe ty

x marg in is 4,447 tons per year
. The DAQ is rea llocating an additional 30% to the orig inal onroad NO

x estimates from the respe ctive safe ty marg ins to the NO MVEB s. That is, 605 tpy is subtracte d from the 2017 safe ty marg in and added to the highw ay emission estimate yielding a 2017 MVEB of 2,621 tpy , leaving a rema inder of 3,015 tpy in the final 2017 safe ty marg in. Simi larly , 383 tpy is subtracte d from the 2025 safe ty marg in and added to the 2025 highw ay emission es t imate, yielding a 2025 MVEB of 1,660 tpy , leavinga re mainder of 4,064 tpy in the final 2025 saf

ety marg in.

x T a b l e 2 7 : B e r k e l e y C o u n t y ( W V ) N O M V E B s a n d R e m a i n i n g S a fe t y M a r g i n s

x A f t e r R e a l l o c a t i o n fr o m t h e O r i g i n a l S a fe t y M a r g i n s i n t o t h e N O M V E B s
2 0 0 7 A t t a i n m e n t 2 0 1 7

O r i g i n a l S a fe t y M a r g i n
O n R o a d A m o u n t

R e a l l o c a t e d t o 2 0 1 7 M V E B 2 0 1 7

R e m a i n i n g S a fe t y M a r g i n a n d F i n a l M V E B 2 0 2 5

O r i g i n a l S a fe t y M a r g i n
O n R o a d A m o u n t

R e a l l o c a t e d t o 2 0 2 5 M V E B 2 0 2 5

R e m a i n i n g S a fe t y M a r g i n a n d F i n a l M V E B
B e r k e l e y

x N O T o t a l 8 , 4 7 3 3 , 6 2 0

- 6 0 5 3 , 0 1 5 4 , 4 4 7

- 3 8 3 4 , 0 6 4

O n r o a d

x N O M V E B 5 , 0 0 5 2 , 0 1 6 + 6 0 5 2 , 6 2 1 1 , 2 7 7 + 3 8 3 1 , 6 6 0

T o t a l s m a y n o t s u m e x a c t l y d u e t o r o u n d i n g
.

Page 41 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n2 .5

2. Direc t PM MVEB s

2.5 Dire c t PM e mi s s io n s ( f

iltera b le a n d c o n d e n s a

b le ) aff ect fine particulate conce ntrations more quickly and more signific antly

than pre cursor pollutants, on a mass emissions basis. Theref ore, WVDEP is

2 .5 adoptinga lower

onroad e missions augmentation of 25% f or direc t PM

.

2.5 T a b l e 2 8 : B e r k e l e y C o u n t y ( W V ) P M E m i s s i o n I n v e n t o r y T o t a l s , O n r o a d ( H i g h w a y ) E m i s s i o n s a n d O r i g i n a l S a fe t y M a r g i n s fo r 2 0 1 8 a n d 2 0 2 5 ( t p y )

2 0 0 7 A t t a i n m e n t 2 0 1 7

I n t e r i m 2 0 1 7

O r i g i n a l S a fe t y M a r g i n 2 0 2 5

M a i n t e n a n c e 2 0 2 5

O r i g i n a l S a fe t y M a r g i n

x B e r k e l e y C o u n t y N O T o t a l 1 , 1 5 4 1 , 0 2 5 1 2 9 1 , 0 1 5 1 3 9
O n r o a d S u b t o t a l 1 7 6 6 6 n a 4 0 n a T o t a l s m a y n o t s u m e x a c t l y d u e t o r o u n d i n g
.

2 .5 2 .5 Thus, the orig inal PM 2017 safe ty marg in is 129 tons pe r year and the orig inal PM 2025 safe ty

2 .5 marg in is 139 tons per year
. The DAQ is rea llocating an additional 25% to the orig inal onroad PM

2 .5 estimates from the respe ctive safe ty marg ins to the PM MVEB s. That is, 17 tpy is subtracte d from the 2017 safe ty marg in and added to the highw ay emission estimate yielding a 2017 MVEB of 83 tpy , leavinga re mainder of

112 tpy in the final 2017 saf ety marg in. Sim ilarly , 10 tpy is subtracted f

rom the 2025 safe ty marg in and added to the 2025 highw ay emission estimate, yielding a 2025 MVEB of 50 tpy , leavinga re mainder of 129 tpy in the final 2025 saf

ety marg in.

2.5 T a b l e 2 9 : B e r k e l e y C o u n t y ( W V ) P M M V E B s a n d R e m a i n i n g S a fe t y M a r g i n s
2.5 A f t e r R e a l l o c a t i o n fr o m t h e O r i g i n a l S a f e t y M a r g i n s i n t o t h e P M M V E B s
2 0 0 7 A t t a i n m e n t 2 0 1 7

O r i g i n a l S a fe t y M a r g i n
O n R o a d A m o u n t

R e a l l o c a t e d t o 2 0 1 7 M V E B 2 0 1 7

R e m a i n i n g S a fe t y M a r g i n a n d F i n a l M V E B 2 0 2 5

O r i g i n a l S a fe t y M a r g i n
O n R o a d A m o u n t

R e a l l o c a t e d t o 2 0 2 5 M V E B 2 0 2 5

R e m a i n i n g S a fe t y M a r g i n a n d F i n a l M V E B
B e r k e l e y C o u n t y
2.5 P M T o t a l 1 , 1 5 4 1 2 9

- 1 7 1 1 2 1 3 9

- 1 0 1 2 9

O n r o a d

2.5 P M M V E B 1 7 6 6 6 + 1 7 8 3 4 0 + 1 0 5 0

T o t a l s m a y n o t s u m e x a c t l y d u e t o r o u n d i n g
.

Page 42 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n3. Summary of Adopted MVE Bs

x 2017 NOx MVEB: 2,621 TPY 2025 NO 2.5 MVEB : 1,660 TPY

2 .5 2 .5 2017 PM MVEB : 83 TPY 2025 PM MVEB : 50 TPY

Page 43 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nV. CONTROL MEASURES AND REGULATIONS

CAA Section107 (d)( 3)(E) (ii), 107(d)( 3)(iv), a nd 107(d)( 3)(E) (v)
A. Re a s onabl y Available Control Measure s (RAC M) and Reasonably Available Control Technology (RACT)
Section 172(c) (1) of the 1990 Clean Air Act Amendments (CAA) require s states with nonattainment
are as to implement rea sonably available control measure s (RACM) and rea sonably available control technology (RA CT )

. St a

te s w it h n o n a tt ainment are as must submit a SIP providing for implementation of all r e a s o n a

b ly a v ail a b le control measure s as expeditious ly as prac ticable (including such reduc tions in emissions from exis ting source s in the are a as may be obtained through the ad o p tion, at a minimum , of re asonable available control tec hnology ).
EPA states on th ei r we b s i te reg arding RACM, RACT, and the Clean Data Policy [ www.epa.g ov/airquality

/urbana ir/sipstatus/pol icy _details.html ]:
Under EPA’s Clean Dat a P olicy and the regulations that embody it, 40 CFR 51.918 (1997 8 -h o ur ozone) and 51.1004(c) (PM-2.5), an EPA rulemaking deter mination that an are a i s attaining the rele vant standard suspends the are a’s obligations to submit an attainment demonstration, rea sonable available control measure s (RACM), rea sonable further progress, conting ency measure s and other planning require ments related to attainment for as long as the
are a continues to attain. EPA’s statutory interpre tation of the Clean Data Policy is described in th e “F i n al Rule to Implement the 8-hour Ozone National Ambient Air Quality Standard—Phase 2" (Phase 2 Final Rule). 70 FR 71612, 71644-46 (Nov. 29, 2005) (ozone); See also 72 FR 20585, 20665 (Apr. 25, 2007) (PM-2.5). EPA believes that the leg al bases set forth in detail in our Phase 2 Final rule, our May 10, 1995 memorandum from J ohn S. Seitz , entitled “Rea sonable Fur

ther Progress, Attainment Dem o n s tra ti o n , a n d Re la te d Requirements for Ozone Nonattainment Are as Meeting the Ozone National Ambient Air Quality Standard,” and our Dec ember 14, 2004 memorandum from Stephen D. Pag e entitled “Clean Data Policy fo r th e Fine Particle National Ambient Air Quality Standards” are equally pertinent to all NAAQS. EPA has codified the Clean Data Policy for 1997 8-hour ozone and PM-2.5, and has also applied it in individual rulemaking s for 1-hour ozone and PM-10.
Under the Clean Data Policy , EPA may issue a deter mination of attainment (known informally as a Clean Data Deter mination) afte r notice and comment rulemaking deter mining that a specific are a is attaining the rele vant standard. For such are as the require ment to submit to EPA those SI P elements related to attaining th e NA AQ S i s suspended for s o long as the
are a continues t o at t ai n the standard. These planning elements include rea sonable further p ro gr e s s ( RF P) require ments, attainment demonstrations, RACM, conting ency measure s, an d other state planning require ments related to attainment of the NAAQS. The deter mination of attainment is not equivalent to a rede signation, and the state must still meet the statutory require ments for rede signation in order to be rede signated to attainment. A deter mination of attainment for purpose s o f th e Clean Data Policy /regulations is also not linked to any particula r attainment deadlin e , and is not nece ssarily equivalent to a deter mination that an are a has attaine d the standard by its applicable attainment deadline, e .g ., under se ction 181(b).

Page 44 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nOn November 20, 2009 [74 FR60199] EPA deter mined that the Martinsburg -Ha g erstown, WV-MD

2 .5 are a had attained the 1997 PM NAAQS (Clean Data Deter mination). This deter

mination was based
on complete, quality -assure d and cer tified ambient air monitoring data fo r the three year period, 2006-2008. This deter

mination suspended the state’s require ment to sub m i t an attainment demonstration, Reasonably Available Control Measur es (RACM), including Reasonably Available Control Te chnology (RACT), Reasonable Fur ther Progress (RFP) plan, conting ency measure s, and

2 .5 other planning SI P revisions related to attainment of the 1997 PM NAAQS for so long as the are a

2 .5 continues to attain the 1997 PM NAAQS.
On J anuar y 10, 2012 [77 FR 1411] EPA also deter mined that the Martinsburg -Ha g erstown, WV-MD

2 .5 are a had attained the 1997 annual PM NAAQS by the applicable attainment date of April 5, 2010. This deter mination was based upon complete, quality -assure d, and cer tified ambient air monitoring data f or the 2007-2009 monitoringperiod.

2 .5 Complete quality -assure d PM ambient air qu al i ty d ata for the most rec ent three (3) year s, 2009

2 .5 through 2011, demonstrate that the air quality continues to meet the NAAQS for annual PM in this nonattainment ar ea. T here fore , RACM, including RACT, no longe r applies.

B. Inventory of Actual Emissions
CAA Section 172(c) (3) requires states to submita compr ehensive inventory of actual emissions in the are a, including the require ment for periodic revisions as deter mined nece ssary
. 40 CFR 51.1008 require s such inv en t o ry t o be submitt ed within three year s of designation and require s a baseline emission inventory for cale ndar year 2002 or other suitable year to be used for attainment planning

. West Virg inia is here in submitt ing the 2007 compre hensive inventory for the West Virg inia portion of the Mar

tinsburg nonattainment are a to meet the r equire ments of CAA Section 172(c )(3)

. West Virg inia will continue to provide updates to future inventories in acc ordanc e with EPA’s AERR rule. As d i s cussed in Section I I I .F, West Virg inia DAQ submits, and commits to continue submissi ons of emission inventories eve ry three year s.

2 .5 C. Evid ence that control m easures required in past P M SIP revisions hav e been fu lly im plem ented.

x 1. NO SI P Call, C AIR and CSAPR

x The EPA NO SI P Call require d 22 states to pa ss r ules that would result in significant emission reduc tions from larg e EGUs, industrial boilers, and ceme nt kilns in the easte rn United States.

x West Virg inia passed this rule in 2002. NO SI P Call require ments are incorporated into permits along with monitoring, recordkeeping , and reportingnece ssary to ensure ong oing compliance. West Virg inia DAQ also has an active enfor ceme nt program to addre ss violations discovere d by field office staff. Compli ance is trac ked through the Clean Air Marke ts data monitoring program. In W es t Vi rgi n i a, this rule acc ounted for a reduc tion from 2003 levels of approximately 57

x perc ent of NO emissions by 2008 from source s subject to the rule. The other 21 states also adopted theserules.

Page 45 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nOn Marc h 10, 20 0 4 , the EPA promulg ated the CAI R. Be g inning in 2009, EPA’s CAI R rule

require d EGUs in 28 easte rn states and the District of Columbi a to signific antly reduc e emissions

x 2 x x of NO and SO

. CAIR repla ced th e NO SI P Call for EGUs. National NO emissions wer e expected to be cut from 4.5 milli on tons in 2004, to a cap of 1.5 milli on tons by 2009, and 1 .3 milli on tons in 2018 in 28 states. States wer e require d to submit a CAI R SI P as part of this eff ort. West Virg inia submitt ed an initial CAI R SI P on J une 1, 2006. Subsequently , WV submitted an abbre viated CAI R SI P on J une 8, 2007, which reque sted authority to allocate CAI R allowanc es. Final r evisions to the C AIR SI P wer e subm itted on April 22, 2008. The revised C AIR SI P was approve d in a direc t final ac tion on August 2, 2009 (74F R38536 ).
On J uly 6, 2010, EPA proposed a repla ceme nt to the CAI R program, the Transpor t Rule [75 FR 45210]. On J uly 6, 2011, EPA finali z ed th e T ra n s port Rule, now commonly ref err ed to as the Cross-State Air Pollut ion Rule (CSAPR ) [76FR48208, 08AUG2011] i n t i m e for reduc tions to beg in in 2012. As finalized, th e C S AP R would have prese rved the initial reduc tions achie ved

x 2 under CAIR and provided morereduc tions in NO and SO emissions in 2012 and 2014, ahea d of the 2015 CAIR Phase 2.
EPA states on their Cross-State Air Pollut ion Rule homepag e: “B y 2014, power plants in states

2 common to both the Cross-State Air Pollut ion Rule and CAI R will achie ve annual SO emissions

x around 1.8 milli on tons lower and annual NO emissions around 76,000 tons lower than what would have be en ac hieved at that time under CAIR.” ( www.epa.g ov/airtranspor t/basic.html )

x Control s fo r E GUs under the NO SI P Call formally commence d May 31, 2004. Emissions
cover ed by this program h av e been g ener ally trending downward since 1998 with larg er reduc tions occur

ring in 2002 and 2003. Da t a taken from the EPA Clean Air Marke ts web site, quantify the gradua l NOx reductions that have oc curr ed in West Virg inia as a result of Title IV

x of the 1990 CAA Amendments and the beg inning of the NO SIP Call Rule. Wes t Vi rg inia

x develope d the NO Budg et Trading Program rules in 45CSR 1 and 26 in response to the SI P Call. 45CSR 1 regulated EGUs and 45CSR 26 regulated cer tain n o n -E GU s under a cap and trade

x program based on an 77 perc ent reduc tion of NO emissions fr o m EGUs and a 60 perc ent

x reduc tion of NO emissions from non-EGUs, compar ed to historical levels. This cap was in place through 2008, at which time the CAI R program superse ded i t as discussed above. Section I I I above disc ussed the re ductions West Virginia ha s seen a s a re sult of CAI R.

x On April 21, 2004, EPA published Phase I I of the NO SI P Call that established a budg et for larg e (greater than 1 ton per day emissions) stationary internal combustion eng ines. 45CSR 1 addre sses stationary inte rn al co mb ustion eng ines, all used in natura l g as pipeline transmission. EPA

x approve d this revision to the SI P on November 27, 2006. An 82 perc ent NO reduc tion from 1995 levels was anticipated. Approva l of the compliance plans occur red by August 4, 2006, and Marc h 1, 2007 and the c ompliance de monstration beg an May 1, 2007.
2. Tier I IEmission S tandards for Ve hicles and G asoline Sulfur Standards [65FR6698, 10FEB 2000] In Februar

y 2000, EPA published a fe dera l r ule to significantly reduc e emissions from c ars and light trucks, including sport utility vehicles (SUVs). Under this proposal, automakers will be require d to sell clea

ner car s, and ref

ineries will be require d to make clea ner, lower sulfur g asoline.

Page 46 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nThis rule applies nationwide. The fede ral rules phase d in betwee n 2004 and 2009. EPA

x estimated that NO emission reduc tions will be approximately 77 perc ent for passeng er car s, 86 perc ent for smaller SUVs, light trucks, and minivans, and 65 to 95 perc ent reduc tions for larg er SUVs, vans, and heavie r trucks. The sulfur content of g asoline is estimated to be reduc ed by up to 90 perc ent. VOC emission reduc tions will be approximately 12 perc ent for passeng er car s, 18 perc ent for smaller SUVs, light trucks, and minivans, and 15 perc ent for larg er SUVs, vans, and heavie r trucks.
3. Heavy-Duty

Diesel Eng ines [65FR59896, 06OCT2000] In October 2000, EPA published a final rule for Highway Heavy Duty Eng ines, a program which includes l ow-sulfur diesel fuel standards, which wer e phased in from 20 0 4 th ro u gh 2007. This rule applies to heavy-duty g asoline and diesel trucks and buses. This rule resulted in a 40 perc ent

x x reduc tion in NO from diesel trucks and buses, a larg e sector of the mobile source s NO inventory

. I t also estimated the level of sulfur in highw ay diesel fuel would be reduc ed by 97 perc en t b y mid-2006.
4. Clean Air Non- road D iesel Rule [69FR38958, 29J UN2004] In J une 2004, EPA published the Clean Ai r Non-roa d Diesel Rule. This rule applies to diesel eng ines used in industries such as construction, agriculture, and mining. It also contains a clea ner fuel standard simil ar to the highw ay diesel program. The new standards will cut emissions from
non-roa d diesel eng ines by more than 90 perc ent. Non-roa d diesel equipment, as described in this

x rule, curre ntly acc ounts for 47 perc ent of diesel particulate matter (PM) and 2 5 perc ent of NO from mobile source s nationwide. Sulfur l ev el s wi l l be reduc ed in non-roa d diesel fuel by 99 perc ent from 2004 levels, from approximately 3,000 parts per milli on (ppm) to 15 ppm in 2009. New eng ine standards took eff ect, based on eng ine horsepowe r, starting in 2008. Tog ether , these

2 .5 rules will substantially

reduc e loca l and re g ional source s of PM prec ursors.
5. MACT Regulations
The Clean Air Act require s EPA to regulate emissions of tox ic air pollutants from a published list of industrial source s ref

err ed to as “sourc e cate g ories.” As requi red under the Act, EPA has develope d Maxi mum Achieva ble Control Tec hnology Standards, or MACT standards, for a list of source cate g ories that must meet control technology requirem ents to reduc e the emission of tox ic air pollutants.

Page 47 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nMACT SourceCate gories with Com plian ce D ates On or After2005
MACT So urc e Cat ego ry 40CF R63 Subpar t Date

P rom ulg ate d Existi ng

Sour ce Com pli ance Date P oll uta nts

Af f ect ed

P u b l i c l y O w n e d T r e a t m e n t W o r k s ( P O T W ) V V V 1 0 / 2 6 / 9 9 1 0 / 2 6 / 0 2 V O C C o k e O v e n s L 1 0 / 2 7 / 0 3 P h a s e d f r o m 1 9 9 5

- 2 0 1 0 V O C

C o k e O v e n s : P u s h i n g , Q u e n c h i n g , a n d B a t t e r y S t a c k s C C C C C 4 / 1 4 / 0 3 4 / 1 4 / 0 6 V O C

A s p h a l t R o o f

i n g M a n u f

a c t u r i n g a n d A s p h a l t P r o c e s s i n g ( t w o s o u r c e c a t e g o r i e s ) L L L L L 4 / 2 9 / 0 3 5 / 1 / 0 6 V O C

M e t a l F u r n i t u r e ( S u r f

a c e C o a t i n g ) R R R R 5 / 2 3 / 0 3 5 / 2 3 / 0 6 V O C P r i n t i n g , C o a t i n g , a n d D y e i n g o f F a b r i c s O O O O 5 / 2 9 / 0 3 5 / 2 9 / 0 6 V O C W o o d B u i l d i n g P r o d u c t s ( S u r f a c e C o a t i n g ) Q Q Q Q 5 / 2 8 / 0 3 5 / 2 8 / 0 6 V O C

2 L i m e M a n u f

a c t u r i n g A A A A A 1 / 5 / 0 4 1 / 5 / 0 7 P M , S O S i t e R e m e d i a t i o n G G G G G 1 0 / 8 / 0 3 1 0 / 8 / 0 6 V O C I r o n & S t e e l F o u n d r i e s E E E E E 4 / 2 2 / 0 4 0 4 / 2 3 / 0 7 0 4 / 2 2 / 0 5 w o r k p r a c t i c e s t d

. V O C

2 T a c o n i t e I r o n O r e P r o c e s s i n g R R R R R 1 0 / 3 0 / 0 3 1 0 / 3 0 / 0 6 P M , S O M i s c e l l a n e o u s C o a t i n g M a n u f a c t u r i n g H H H H H 1 2 / 1 1 / 0 3 1 2 / 1 1 / 0 6 V O C M e t a l C a n ( S u r f

a c e C o a t i n g ) K K K K 1 1 / 1 3 / 0 3 1 1 / 1 3 / 0 6 V O C P l a s t i c P a r t s a n d P r o d u c t s ( S u r f a c e C o a t i n g ) P P P P 4 / 1 9 / 0 4 4 / 1 9 / 0 7 V O C M i s c e l l a n e o u s M e t a l P a r t s a n d P r o d u c t s ( S u r f a c e C o a t i n g ) ( i n c l u d e s A s p h a l t / C o a l T a r A p p l i c a t i o n t o M e t a l P i p e s ) M M M M 1 / 2 / 0 4 1 / 2 / 0 7 V O C

I n d u s t r i a l B o i l e r s , I n s t i t u t i o n a l / C o m m e r c i a l B o i l e r s a n d P r o c e s s H e a t e r s 2 D D D D D 9 / 1 3 / 0 4 9 / 1 3 / 0 7 P M , S O

P l y w o o d a n d C o m p o s i t e W o o d P r o d u c t s D D D D 7 / 3 0 / 0 4 1 0 / 1 / 0 7 V O C

x R e c i p r o c a t i n g I n t e r n a l C o m b u s t i o n E n g i n e s Z Z Z Z 6 / 1 5 / 0 4 6 / 1 5 / 0 7 N O , V O C A u t o a n d L i g h t

- D u t y T r u c k ( S u r f a c e C o a t i n g ) I I I I 4 / 2 6 / 0 4 4 / 2 6 / 0 7 V O C W e t F o r m e d F i b e r g l a s s M a t P r o d u c t i o n H H H H 4 / 1 1 / 0 4 4 / 1 1 / 0 5 V O C M e t a l C o i l ( S u r f

a c e C o a t i n g ) S S S S 6 / 1 0 / 0 2 6 / 1 0 / 0 5 V O C P a p e r a n d O t h e r W e b C o a t i n g ( S u r f a c e C o a t i n g ) J J J J 1 2 / 4 / 0 2 1 2 / 4 / 0 5 V O C

M i s c e l l a n e o u s O r g a n i c C h e m i c a l P r o d u c t i o n ( M O N ) F F F F 1 1 / 1 0 / 0 3 5 / 1 0 / 0 8 V O C

E l e c t r i c A r c F u r n a c e S t e e l m a k i n g F a c i l i t i e s ( A r e a S o u r c e s ) Y Y Y Y Y 1 2 / 2 8 / 0 7 6 / 3 0 / 0 8 P M

F a b r i c P r i n t i n g , C o a t i n g & D y e i n g O O O O 5 / 2 9 / 0 3 5 / 2 9 / 0 6 V O C G a s o l i n e D i s p e n s i n g F a c i l i t i e s ( A r e a S o u r c e s ) C C C C C C 1 / 1 0 / 0 8 1 / 1 0 / 1 1 V O C G a s o l i n e D i s t r i b u t i o n B u l k T e r m i n a l s , B u l k P l a n t s , a n d P i p e l i n e F a c i l i t i e s ( A r e a S o u r c e s ) B B B B B B 1 / 1 0 / 0 8 1 / 1 0 / 1 1 V O C

I C I B o i l e r s & P r o c e s s H e a t e r s - M a j o r S o u r c e s D D D D D 1 2 / 2 1 / 1 2 2 0 1 6 / 2 0 1 7 P M I C I B o i l e r s & P r o c e s s H e a t e r s - A r e a S o u r c e s J J J J J J 1 2 / 2 1 / 1 2 3 / 2 1 / 1 4 P M Page 48 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nD. Assurance that e xisting control m easures will rem ain in eff ect
West Virg inia commits to maintaining the afor ementioned c o ntro l me a s u r e s a f ter r e d e s ig n a ti o n. West Virg inia hereby commits that any chang es to its rules or emission limit s require d for maintenanc e of

2 .5 the annual PM standard in the Martinsburg are a, will be submitt ed to EPA for approva l as a SI P revision.

West Virg inia, through the Division of Environmental Protection, DAQ, has the leg al authority and
nece ssary resour ces to actively enforce any violations of i t s ru l es o r permit provisions. After

2 .5 rede signation, it intends to continue enfor cing all rules that relate to the emission of PM prec ursors in the MartinsburgAre a.

Page 49 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nVI. SUP P LEMENTAL MODEL INGANALYSES

Although EPA’s Redesignation Guidance does not require modeling nonatt ai n m ent are as seeking rede signation, extensive modeling has been perf ormed covering the Martinsburg -Ha g erstown, WV2 .5 MD are a to deter

mine the eff

ect of national emissi o n c o ntrol strateg ies on PM concentrations. These modeli n g analy ses deter

mined that the Martinsburg -Ha g erstown, WV-MD are a is signific antly

2 .5 2 x impacted by reg ional transport of PM and its prec ursors, and that reg ional SO and NO reduc tions

2 .5 are an eff ective way to attain the annual standards for PM in this are a. Future year modeled annual

2 .5 PM conce ntrations are expected to be reduc ed by 6% to 25% from baseline design values. Ex amples of these mode ling a

naly ses ar e desc ribed be low.
A. EPAModeling f

or the C ross State A ir P ollution Rule (F inal T ransport Rule)
EPA perf ormed modeling to support the emission reduc tions associate d with the Final Transpor t Rule
or the Cross State Air Pollut ion Rule (CSAPR ), as it is currently called. EPA used the Comprehensive Air Quality Model with Ex tension (CAMx ) version 5.3 applied to the 2005 meteorology as proce ssed

2 x by the Mesosca le Model (MM5), Ver sion 3.7.4. Emissions input into the CAMx included SO , NO ,

3 2 .5 VOC, NH and direc t PM for 2005. The model i n g wa s b as ed on the annual fine particle design values calc ulated from 2003 through 2005, 2004 through 2006, and 2005 through 2007. Future year modeling was conducte d, and the future year design values fo r 2 0 1 2 an d 2014 wer e evaluated for

2 .5 attainment of the annual NAAQS for PM of 15 μg/m , as shown in Table 24. The Be rkele y County 3 monitor (54-003-0003) repr esents the Ma rtinsburgare a.
As indicated in the Air Quality Modeling Tec hnical S up p o rt Document (TSD) for the CSAP R, air qu ality modeling was performed for several emissions case s: a 2005 base year , a 2012 “n o C AIR” base c ase, a

2014 “no CAIR” base c ase, a nd the 2014 re medy

case
. Modeling results for the Martinsburg are a (B erke ley County mo n i t o r, 54-003-0003) show a 1.84

2 .5 μg/m (11.6%) decr ease in the aver ag e PM co n ce ntration for 2012 and a 2.23 μg/m (14.0%) 3 3 decr ease in the aver ag e conce ntration for 2014, without acc ounting for CAI R or reduc tions require d by the Transpor

t Rule or CSAP R. Areduc tion of 3.94 μg/m (24.7%) from the 2003-2007 baseline 3 is expected for 2014 with the implementation of the CSAP R. It should also be noted that the base year design value used by EPA in their m odeling was taken from 2003 through 2007 and is highe r than the cur rent 2009 through 2011 design value of 11.8 μg/m in the are a. F urthermor e, the monitored

3 design values for

2008-2010 and 2009-2011 of 12.9 and 11.8 μg/m , respe ctively , areless than the 3 modeled base case design vales for 2012 and 2014. Figures 2 and 3 (in Section I I ) show the

2 .5 downward trend of the design values from 1999 through 2010 for the PM monitors in West Virg inia and Mar yland.

Page 50 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n2 .5 Tabl e 30: C SAP R Annual P M Design Values (μg/m3) Site ID County 2003- 2007 Aver age Am bient Value 2003-2007

Maxim um Am bient Values 2012 Base

Case Aver age Values 2012 Base

Case Maxim um Values 2014 Base

Case Aver age Values 2014 Base

Case Maxim um Values 2014

Rem edy Aver age Values 2014

Rem edy Maxim um Values

5 4

- 0 0 3

- 0 0 0 3 B e r k e l e y 1 5

. 9 3 1 6

. 1 9 1 4

. 0 9 1 4

. 3 2 1 3

. 7 0 1 3

. 9 2 1 1

. 8 1 1 1

. 9 9
5 4

- 0 0 9

- 0 0 0 5 B r o o k e 1 6

. 5 2 1 6

. 8 0 1 4

. 3 3 1 4

. 5 8 1 3

. 8 4 1 4

. 0 9 1 1

. 3 4 1 1

. 5 5
5 4

- 0 0 9

- 0 0 1 1 B r o o k e 1 6

. 0 4 1 6

. 3 7 1 3

. 8 7 1 4

. 1 5 1 3

. 3 9 1 3

. 6 6 1 0

. 8 9 1 1

. 1 3
5 4

- 0 1 1

- 0 0 0 6 C a b e l l 1 6

. 3 0 1 6

. 5 7 1 4

. 7 1 1 4

. 9 4 1 4

. 0 5 1 4

. 2 8 1 1

. 5 7 1 1

. 7 5
5 4

- 0 2 9

- 1 0 0 4 H a n c o c k 1 5

. 7 6 1 6

. 6 4 1 3

. 7 3 1 4

. 5 1 1 3

. 2 8 1 4

. 0 3 1 0

. 8 1 1 1

. 4 4
5 4

- 0 3 3

- 0 0 0 3 H a r r i s o n 1 3

. 9 9 1 4

. 1 9 1 3

. 1 7 1 3

. 3 6 1 2

. 7 1 1 2

. 9 0 9

. 3 6 9

. 4 9
5 4

- 0 3 9

- 0 0 1 0 K a n a w h a 1 5

. 1 5 1 5

. 3 8 1 3

. 4 0 1 3

. 6 0 1 2

. 7 8 1 2

. 9 7 1 0

. 1 3 1 0

. 2 8
5 4

- 0 3 9

- 0 0 1 1 K a n a w h a 1 3

. 1 7 1 3

. 1 7 1 1

. 6 7 1 1

. 6 7 1 1

. 1 3 1 1

. 1 3 8

. 6 7 8

. 6 7
5 4

- 0 3 9

- 1 0 0 5 K a n a w h a 1 6

. 5 2 1 6

. 5 9 1 4

. 6 5 1 4

. 7 1 1 4

. 0 1 1 4

. 0 6 1 1

. 3 0 1 1

. 3 5
5 4

- 0 4 9

- 0 0 0 6 M a r i o n 1 5

. 0 3 1 5

. 2 5 1 4

. 2 2 1 4

. 4 3 1 3

. 7 6 1 3

. 9 5 1 0

. 1 6 1 0

. 3 0
5 4

- 0 5 1

- 1 0 0 2 M a r s h a l l 1 5

. 1 9 1 5

. 3 3 1 3

. 2 5 1 3

. 3 8 1 2

. 7 5 1 2

. 8 7 1 0

. 0 7 1 0

. 1 7
5 4

- 0 6 1

- 0 0 0 3 M o n o n g a l i a 1 4

. 3 5 1 4

. 4 7 1 2

. 8 9 1 3

. 0 1 1 2

. 4 1 1 2

. 5 3 9

. 2 8 9

. 4 0
5 4

- 0 6 9

- 0 0 1 0 O h i o 1 4

. 5 8 1 4

. 5 8 1 2

. 5 3 1 2

. 5 3 1 2

. 0 5 1 2

. 0 5 9

. 5 1 9

. 5 1
5 4

- 0 8 1

- 0 0 0 2 R a l e i g h 1 2

. 9 0 1 3

. 0 3 1 1

. 2 2 1 1

. 3 3 1 0

. 7 0 1 0

. 8 0 8

. 3 9 8

. 4 7
5 4

- 1 0 7

- 1 0 0 2 W o o d 1 5

. 4 0 1 5

. 4 4 1 3

. 7 4 1 3

. 7 7 1 3

. 1 6 1 3

. 2 0 1 0

. 8 4 1 0

. 8 7 Sou rce: A ir Qualit y

Mo delin g Final Technical Supp ort Docume nt f or t he Fi nal Cro ss-State Air P ollu tion Rul e , p age s B-61 - B-6 2. ( w w w .epa.gov/airtranspo rt/techin f o.h tm l )

2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n Page 51B. EPAModeling f or P roposed Transp ort Rule 2010
EPA perf ormed modeling to support the emission reduc tions associate d with the Proposed Transpor t Rule. EPA used the Comprehensive Air Quality Model with Ex tension (CAMx Ver sion 5), applied to the 2005 meteorology as proces s ed b y the Mesosca le Model (MM5), Ver sion 3.7.4. Emissions

2 x 3 2 .5 input into the C AMx included S O , NO , VOC, NH and direct P M for 2005. The modeling was based on th e annual fine particle design values calc ulated from 2003 through 2005, 2004 through 2006, and 2005 through 2007. Future year modeling was conducte d, and the future year design values

2 .5 for 2 0 1 2 and 2014 wer e evaluated for attainment of the annual NAAQS for PM of 15 μg/m , as 3 shown in Table 31. TheBe rkele y County monitor (54-003-0003) represents the Weirton ar ea.

Tabl e 31: P roposed Transp ort Rule Modeling Results f romEPA- 2010 Monitor ID County Design Value 2003-2007 (μg/m )

3 F uture Design Value 2012 Base (μg/m )

3 F uture Design Value 2014 Base (μg/m )

3 F uture Design Value 2014 Rem edy (μg/m )

3
54- 003-0003 Berkeley 15.9 3 14.9 5 14.6 4 12.4 4
54- 009-0005 Broo ke 16.5 2 14.9 5 14.5 1 12.0 2
54- 009-0011 Broo ke 16.0 4 14.4 9 14.0 5 11.5 6
54- 011-0006 Cabe ll 16.3 0 15.2 5 14.6 5 12.0 9
54- 029-1004 Hanc ock 15.7 6 14.3 4 13.9 3 11.4 8
54- 033-0003 Harri son 13.9 9 13.8 2 13.3 0 9.94
54- 039-0010 K ana wha 15.1 5 14.0 1 13.4 5 10.7 7 54- 039-0011 K ana wha 13.1 7 12.2 3 11.7 4 9.24
54- 039-1005 K ana wha 16.5 2 15.2 8 14.6 9 11.9 7 54- 049-0006 Ma ri on 15.0 3 14.9 6 14.4 1 10.7 9
54- 051-1002 Ma rs hal l 15.1 9 13.9 6 13.4 4 10.7 4
54- 061-1003 Mo nongal ia 14.3 5 13.7 2 13.1 4 10.0 1
54- 069-0010 Ohio 14.5 8 13.1 8 12.7 2 10.1 5 54- 081-0002 Ral ei gh 12.9 0 11.8 8 11.4 0 9.01
54- 107-1002 Wo od 15.4 0 14.3 1 13.7 7 11.4 0 S o u r c e : T e c h n i c a l S u p p o r t D o c u m e n t f o r t h e P r o p o s e d T r a n s p o r t R u l e , p a g e s B

- 5 2

- B

- 5 3

. ( w w w
. e p a
. g o v / a i r q u a l i t y / t r a n s p o r t / p d f s / T R

_ A Q M o d e l i n g

_ T S D

. p d f)
EPA stated in the prea

mble to the proposed T ra n s p o rt Ru le that the “base line analy sis takes into
acc ount emissions reduc tions associate d with the implementation of all fede ral rules promulg ated by Dec ember

2008 and assumes that CAI R is not i n eff ect.” [75FR 45233, 02AUG2010] Page 52 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nMod el i n g results for the Martinsburg are a (B erke ley County monitor, 54-003-0003) show a 0.98

2 .5 μg/m (6.2%) decrease in the PM conce ntration for 2012 and a 1.29 μg/m (8.1%) decr ease in the 3 3
conce ntration for 2014, without acc ounting for CAI R or reduc tions require d by the Transpor t Rule. A redu ct i o n o f 3.49 μg/m (21.9%) from the 2003-2007 baseline is expected for 2014 with the 3 implementat i o n o f the Transport Rule. It should also be noted that the base year design value used by EPA in their modelin g was taken from 2003 through 2007 and is higher than the curr ent 2009 through 2011 design value of 11.8 μg/m in the are a. Fur thermore , the monitored design values for 3 2006-2008, 2007-2009, 2008-2010 and 2009-2011 of 14.9, 14.0, 12.9 and 11.8 μg/m , respe ctively , 3
are less than the modeled base case design vales for 2012 and 2014. Figures 2 and 3 (in Section I I )

2 .5 show the downward trend of the d es i gn v al u es from 1999 through 2010 for the PM monitors in West Virginia a

nd Maryland.

2 .5 C. VISTAS/ASIP Em ission s and Air Quali ty Modelin g to Sup port P M and 8-hour Ozone State Im plem entation P lans
VI STAS/AS I P conducte d modeling to deter mine the impact of CAIR and other control programs in the southeast, including West Virg inia. The VI STAS/AS I P mo d el i n g used Ver sion 4.51 of the Communi ty Multi-scale Air Quality (C M AQ) modeling sy stem with enhanc ed seconda ry org anic
aerosol (SOA) module (SOAmo d s ) ap p l ied to the year 2002 meteorology , as proce ssed by MM5.

2 x 3 2 .5 Emissions input into CMAQ included SO , NO , VOC, NH and direc t PM for 2002. The modeling
was based on 2000 through 2004 design values. Future year modeling for 2009, 2012 and 2018 was conducte d and the future year design values wer e deter mined with the emission reduc tions associate d with CAIR, a s shown in Table 32. The Transpor t Rule is e x pecte d to provide reduc tions a bove and beyond CAIR. The B erke ley County monitor (54-003-0003) represents the Ma rtinsburgare a.
The VI STAS/AS I P modeling results for the Martinsburg ar ea (B erkeley County monitor, 54-003-

2 .5 0003) predic ted a 2.7 μg/m (16.7%) decr ease in the projec ted PM conce ntration for 2009 from the 3 2002 design value. As shown in Table 1, the actua l monitored design value for 2007-2009 was 14.0 μg/m , a 2.2 μg/m (13.6%) improvement, slightly less than predic ted. The modeling results show 3 3

2 .5 a continued impro v ement in the are a, with a PM conce ntration of 12.3 μg/m by 2018, a 24.1% 3 reduc tion from the 2002 design value. The curr ent 2009-2011 design value for the are a is 11.8 μg/m , 3 which is lower tha

n the pre dicted design values for 2012 and 2014.

Page 53 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nTabl e 32: V ISTAS /ASIP 2009, 2012 and 2018 Modeling Results (w ith CAIR)

Monitor ID County 2002 Annu al DVC Annu al DVF

2009 2012 2018 54-003-0003 Be rkele y 16.2 13.5 12.9 12.3 54-009-0005 Br ooke 16.7 13.6 13.3 12.6 54-011-0006 Cabell 16.5 14.4 13.7 13.3 54-029-0011 Hanc ock 16.0 13.0 12.6 11.9 54-026-1004 Hanc ock 17.3 14.0 13.7 13.0 54-033-0003 Har

rison 14.0 11.6 10.7 10.4 54-039-0010 Kana

wha 15.4 13.1 12.2 11.7 54-039-1005 Kana

wha 17.1 14.7 13.7 13.2 54-049-0006 Marion 15.3 12.9 12.0 11.6 54-051-1002 Marsha ll 15.6 13.2 12.7 12.1 54-055-0002 Merc er 12.7 10.6 9.7 9.1 54-061-0003 Monong alia 14.8 12.3 11.5 11.0 54-069-0008 Ohio 15.1 12.6 12.1 11.5 54-081-0002 Raleigh 13.1 11.0 10.1 9.5 54-089-0001 Summers 10.1 8.3 7.6 7.1 54-107-1002 Wood 16.1 13.8 13.4 12.6 S o u r c e : T e c h n i c a l S u p p o r t D o c u m e n t f o r t h e A s s o c i a t i o n f

o r S o u t h e a s t e r n I n t e g r a t e d P l a n n i n g ( A S I P ) E m i s s i o n s a n d A i r
2.5 Q u a l i t y M o d e l i n g t o S u p p o r t P M a n d 8

- H o u r O z o n e S t a t e I m p l e m e n t a t i o n P l a n s , M a r c h 2 4 , 2 0 0 8

.

Page 54 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nVII. CONTINGENC Y MEASURES

CAA Section 107(d)( 3)(E) (v)
A. Maintenance P lan Review As requir ed by Section 175(A) of the CAA, West Virg inia hereby commits to subm it an additional maintenanc e plan as a SI P revision covering the ten year period afte r the expiration o f the maintenanc e plan c urre ntly under r eview.

B. Corr ect ive Act ions
West Virg inia hereby commits to adopt and expeditious ly implement nece ssary corrective actions in the followingcirc umstances:
1. WarningL evel Response

2 .5 A war ning level response shall be prompted whene ver the PM averag e of the weighted annual
mean of 15.5 μ g/ m o cc urs in a single cale ndar year within the maintenanc e are a or when 3 emissio n s i n the maintenanc e are a incre ase by more than 10% above the levels in the 2007 attainment year inventory

. A war ning level response will consist of a study to deter mine whether

2 .5 2 .5 the PM value indicates a trend toward highe r P M values or whether emissions appear

to be incre asing

. The study will evaluate whether the trend, if any , is likely to continue and, if so, the control measures n ec essar y to reve rse the trend taking into considera tion ease and timing for implementation as well as ec o n o mic and social considerations. Implementation of nece ssary controls in resp onse to a war ning level response trig g er will take place as expeditious ly as possible, but in no event later than 12 months fr o m the conclusion of the most rec ent cale ndar year
. Should it be determined through the war ning level study that action is nece ssary to reve rse the noted trend, the proce dures for control selec tion and implementation outlined under “ac tion level response ” shall be f

ollowed.
2. Action L evel Response An action level response shall be prompted whene ver a two-year aver ag e of the weighted annual
means of 15.0 μg/m or greater occur s within the maintenanc e are a. A violation of the standard 3 (three -year aver ag e of the weighted annual means of 15.0 μg/m or greater) shall also prompt an 3 action level response
. In the event that the action level is trig g ere d and is not found to be due to an exceptional event, malfunction, or noncompliance with a permit condition or rule require ment, West Virg inia DAQ in conjunction with the metropolitan planning org anization or re gi o n al council of g overnme nts, will deter mine additional control measure s needed t o assure future

2 .5 attainment of the 1997 PM NAAQS. In this case , measure s that can be implemented in a short time will be selec ted in order to be in place within 18 months from the close of the cale ndar year that prompted the action level. West Virg inia DAQ wi l l als o consider the timing of an action level trig g er and deter

mine if additional, signific ant new regulations not curr ently included as part of the maintenanc e provisions will be implemented in a timely manner and wi ll constitute our response
.
Page 55 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n3. Control Measure Selection and Implementation

Adoption of any additional control measure s is subject to the nece ssary administrative and leg al proce ss. This proce ss will include publication of notices, an opportunity for public hearing, and other mea sures re quired by West Virginia la

w for r ulemaking

. I f a new measure /control is alre ady promulg ated and schedule d to be implemented at the fede ral
or State level, and that measure /control is deter mined to be sufficie nt to addre ss the upwar d trend in air quality , additional local measure s may be unnece ssary
. Fur thermore , West Virg inia DAQ will submit to EPA an analy sis to demonstrate the proposed measure s are adequate to return the
are a to attainment.
C. P otential Contingency Me asures Contingenc y measure s to be considere d wi l l b e s elected from a compre hensive list of measure s deeme d appropriate and eff ective at the time the selec tion is m ade. The sele ction of mea sures will be based on cost-ef

fec tiveness, emission reduc tion potential, economic and social considera tions or other fac tors that West Virg inia DAQ deems appropriate. West Virg inia DAQ will solicit input from all interested and aff

ecte d persons in the maintenanc e are a prior to selec ting appropriate conting ency measure s. Be cause it is not possible at thi s t i me to deter mine what control measure s will be appropriate at an unspecified t i m e in the future, the l ist of contingenc y measure s outlined below is not exhausti ve. 1) Diesel re duction emission strateg ies. 2) Alternative fuel (e.g ., liquid propane and compre ssed natura l g as) and diesel retrof it programs for f leet vehic le oper ations.

2 .5 2 x 3) Tighter PM , SO , and NO emissions offsets for ne w and modified ma jor source s. 4) Concrete manufa cturing- upgradewet suppre ssion.

x 5) Additional NO RACT statewide.

No conting ency measure shall be implemen ted without providing the opportunity for full public participation during which the relative costs and benef its of individual measure s, at the time they are under c onsideration, ca

n be fully evaluated.

2 .5 2 x D. P M , SO , and NO sources potentially sub jec t to fu ture addi tional control requirem ents.

2 .5 2 x The followingis a list of PM , SO , and NO source s potentially subject to future controls.

2 x • I CIBoiler s - SO and NO controls;

• EGUs;

• proce ss heater s;

• internal c ombustion engine s;

• combustion turbines;

• other sourc es grea

ter than 100 tons per

year ;

• Flee t vehicles;

• Concrete manufa cture rs;

• Ag greg ate processingplants.

Page 56 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a nVIII. P UBLIC PA RTICIP ATION

West Virg inia published an announce ment of the opportunity for a public hearing and solicited public comment conce rning the draf t rede signation petition and maintenanc e plan in the State Reg ister, the Charleston Gazette and the Mar tinsburg Journal on June 14, 2013.
A public hearing to rec eive comments on the rede signation reque st was tentatively schedule d for 6:00 p.m. on Tuesday, J uly 23, 2013, at the West Virg inia Division of E nv i ro nmental Protection Hea dquarte rs located at 601 57 Street, SE, Charleston, WV. Howeve r, no person reque sted a public t h hearing, theref

ore the hearing was cance lled. The publi c co m m en t p er i od closed on J uly 15, 2013. Appendix G i n cl u des a copy of the public notice, and a copy of the notice of public hearing
canc ellation, a copy

of the c omments rece ived and the r esponse to comments.
IX. CONCLUSIONS

2 .5 The Martinsburg PM nonattainment are a has attained th e 1 9 9 7 an nual and 24-hour NAAQS for

2 .5 PM and complied with the applicable provisions of the 1990 Amendments to the CAA reg arding

2 .5 rede signations of PM nonattainment are as. Documentation to that eff ect is contained here in. West Virg inia DAQ has prepa

red a rede signa

tion reque st and maintenanc e plan that meet the require ments of Section 110 (a)(1) of the 1990 CAA.

2 .5 Ba sed on this prese ntation, the West Virg inia portion of the Martinsburg PM nonattainment are a meets the require ments for rede signation under the CAA and EPA gu i d an ce
. West Virg inia has perf ormed an analy ses showing the air quality improvements are due to pe rmane nt and enfor cea ble
measure s. Fur

thermore , beca

use this are a is subject to signific ant transport of pollutants, signific ant

2 x reg ional SO and NO reduc tions will ensure continued compliance (maintena nce) with the standard with an incre asingmarg in of safe ty

.

2 .5 The State of West Virg inia hereby reque sts that the Martinsburg1997 PM nonattainment ar ea be rede signated to attainment simult aneously with EPA approva l of the CAA section 175A maintenanc e plan provisions contained he rein.
The State of West Virg inia is also reque sting approva l of the 2007 base year inventory as meeting the require ments under Clea

n Air Ac t Section 172(c)( 3).

Page 57 2.5 M a r t i n s b u r g , W V 1 9 9 7 P M R e d e s i g n a t i o n a n d M a i n t e n a n c e P l a n