USE OF RPO MODELING TO MEET REGIONAL HAZE AND NAAQS REQUIREMENTS

Similar documents
USE OF RPO MODELING TO MEET REGIONAL HAZE AND NAAQS REQUIREMENTS

RPO Modeling and NAAQS SIP Modeling

MANE-VU Technical Overview. National Technical RPO Meeting June 9, 2005 Gary Kleiman, NESCAUM

Selection of States for MANE-VU Regional Haze Consultation (2018)

Meeting Summary National RPO Modeling Meeting May 25 and 26, 2004 Denver, Colorado

Comparison of CAIR and CAIR Plus Proposal using the Integrated Planning Model (IPM ) Mid-Atlantic Regional Air Management Association (MARAMA)

A Goal of the Regional Haze Rule

SEMAP 2018 Ozone Projections and Sensitivity to NO x & VOC Emissions

The Pyrogeographyof Wildfires in the Western U.S.

MANE-VU Technical Support Committee. OTC/MANE-VU Committees Meeting September 21, 2018

VISTAS Highlights. November 10, 2005

Association of Air Pollution Control Agencies 2019 Spring Meeting Southeastern VISTAS II Regional Haze Analysis Project Update

Farm Radio Habits Wave 1, Winter Conducted by Millennium Research, Inc.

Technical Support Document for the Minnesota State Implementation Plan for Regional Haze

Permit & Photochemical Modeling Update James W. Boylan Georgia EPD Air Protection Branch Unit Coordinator, Data and Modeling Unit

Contributions to Regional Haze in the Northeast and Mid-Atlantic United States: Preliminary Update Through 2007

MANE VU Technical Support Committee. OTC/MANE VU Spring Meeting June 6 7, 2018 Baltimore, MD

Fiscal Year 2010 Drinking Water and Ground Water Statistics

MANE-VU Technical Support Committee Update. OTC/MANE-VU Fall Meeting: April 10, 2018 Washington, DC

An Update on EPA Attainment Modeling Guidance for Ozone/PM2.5/Regional Haze

The Future of Coal-fired Generation: Challenging the EPA

Modeling the Clear Skies Act. STAPPA/ALAPCO July 30, 2003

STATE LEGISLATIVE ACTION FOR THE DEVELOPMENT OF A HEMP INDUSTRY IN THE U.S. Hawaii Representative Cynthia Henry Thielen

Farms and Land in Farms

CONSIDERATIONS AND PROPOSED APPROACH

Radiology Staffing Survey 2010

State of the Air in Arkansas

Tracking Visibility Progress

WESTAR - WRAP Regional Analysis and Planning. Tom Moore WESTAR - WRAP

Visibility, Haze, and Background Air Pollution in the West

Visibility Data Summary for the Northern Cheyenne Tribe

Modeling Committee Update

Born on a Bike, Kitchen Crafted, Family and Employee-owned BRUCE LYMBURN GENERAL COUNSEL AND SECRETARY

American Wind Energy Association. U.S. Wind Industry Second Fourth Quarter Market Report

Modeling Committee Update

American Wind Energy Association U.S. Wind Industry Second Quarter U.S. Wind Industry Fourth Quarter Market Report Market Report

How to Develop Reasonable Progress, BART, and Consultation Submissions (and what tools can help)

U.S. Wind Industry Fourth Quarter 2014 U.S. Wind Industry First Quarter 2016 Market Report Market Report

Watershed Plan Implementation in Oklahoma: What We Do and What We ve Learned

Visibility Trends.

Update on MERPs Guidance. Tyler Fox/Kirk Baker US EPA/OAQPS/Air Quality Modeling Group June 5, 2018

AoH Report Update. Joint DEJF & AoH Meeting, Las Vegas November 15-18, Air Resource Specialists, Inc.

INDUSTRY ISSUES AND UPDATE JEFFREY L. LEITER, ESQ.

WRAP Regional Haze Analysis & Technical Support System

American Wind Energy Association. U.S. Wind Industry Third Quarter 2014 Market Report

MID-ATLANTIC/NORTHEAST VISIBILITY UNION (MANE-VU) REGIONAL HAZE PLANNING -- YEAR 3 February 1, 2002 January 31, 2003

INTER-RPO CONSULTATION BRIEFING BOOK

Improving Visibility at Class I Areas Regional Haze SIP Requirements

Indiana Energy Status

Agricultural Land Values

EPA Carbon Regulations Stakeholder Meeting

The State of New Jersey Department of Environmental Protection. Certification For Meeting the Infrastructure Requirements in the Clean Air Act

QUALITY ASSURANCE FOR SHRP2 R06C TECHNOLOGIES

IPNI North American Soil Test Summaries. Tom Jensen, Director in North America Program Cell:

WHAT WE KNOW ABOUT THE DEMOGRAPHICS OF U.S. FARM OPERATORS

Out of Sight: The Science and Economics of Visibility Impairment Executive Summary

Analysis of NBI Data for California Bridges

CYNTHIA F. LOOMIS SENIOR SCIENTIST ALPINE GEOPHYSICS, LLC. B.S. Mathematics and Computer Science, California State University, Sacramento, 1987.

2010 Regional Haze & Visibility Summary

U.S. Wind Industry: Market & Policy Update

1. Audited Media Platforms. 2. Publication Information

FHWA Cooperative Agreement Subtask. Longitudinal Joints Intelligent Compaction

Emissions and Modeling Update

Winter Wheat Seedings

Indiana Energy Landscape

Transportation Worker Identification Credential (TWIC) Program. American Association of Port Authorities 2013 Security Seminar July 17, 2013

Sage Accpac ERP U.S. Payroll 6.0 Quarterly Wage on Disk(ette)

Streamflow of 2013 Water Year Summary

Today s Propane. National Propane Gas Association

Iowa Farm Outlook. June 2015 Ames, Iowa Econ. Info Regional Hay-Pasture Situation and Outlook. Percent of National All Hay Stocks

Land Values and Cash Rents: 2008 Summary

American Wind Energy Association. U.S. Wind Industry First Quarter 2017 Market Report. American Wind Energy Association

Final Ozone/PM2.5/Regional Haze Modeling Guidance Summary. AWMA Annual Conference Brian Timin June 28, 2007

CALPUFF Ambient SO4 Modeling

SCOPE OF WORK: TECHNICAL SUPPORT FOR WRAP ACTIVITIES TO ADDRESS POINT AND AREA SOURCE EMISSIONS October 14, 2004

PUBLIC POWER = + + LOCAL CONTROL LOW RATES HIGH RELIABILITY

Appendix G-1. Conceptual Model

O3/PM2.5/Regional Haze Modeling Guidance Summary. Brian Timin EPA/OAQPS Western Met, Emissions, and AQ Modeling Workshop June 22, 2011

REGIONAL ENERGY BASELINES AND MEASUREMENT AND VERIFICATION PROTOCOLS

Monitoring update INTERAGENCY MONITORING OF PROTECTED VISUAL ENVIRONMENTS. Network operation status. Data availability status

NASPO VALUEPOINT SAMPLE MASTER AGREEMENT INFORMATION SHEET INFORMATION TECHNOLOGY (IT) VENDOR MANAGED SERVICE PROVIDERS

Capacity of Refrigerated Warehouses

The Bee Informed Partnership Management Survey Results (2011) Respondent Profile. BeeInformed.org

Farm Computer Usage and Ownership

The Component Model of Infrastructure (CMI): An Infrastructure Model for Evaluating Tobacco Control Programs

CALPUFF PT-Source Modeling

U.S. General Services Administration. General Services Administration

The American Clean Energy Security Act (ACES) Creates More American Jobs and Saves Americans Money

Developing a Framework for Integrated Energy Network Planning

The story of renewable energy

Prepared for Greenpeace. September 25, 2009

U.S. Wind Industry Third Quarter 2016 U.S. Wind Industry Fourth Quarter 2014 Market Report

Sierra Club National Survey on Coal, Climate and Carbon Pollution Key Findings

Monitoring Data & Glide Path Summary Document

Assessing the Potential Economic and Distributional Impacts of a Tighter Ozone NAAQS

The importance of grid and domain size. Comparing 12 km Grid to Counties

Educating and Training Tomorrow s Workforce

The Nature of the Fine Particle and Regional Haze Air Quality Problems in the MANE-VU Region: A Conceptual Description

Long-Term Strategy for Regional Haze

Pittsburgh Modeling for the PM 2.5 NAAQS EPA Regional/State/Local Modelers Workshop. May 2, 2012

Transcription:

USE OF RPO MODELING TO MEET REGIONAL HAZE AND NAAQS REQUIREMENTS James W. Boylan* Georgia Department of Natural Resources, Air Protection Branch, Atlanta, GA, USA 1. INTRODUCTION In order to help meet the objectives of the Regional Haze Rule, EPA created five Regional Planning Organizations (VISTAS, WRAP, CENRAP, MRPO, and MANE-VU) to initiate and coordinate activities associated with the management of regional haze at 156 federally mandated Class I areas (Figure 1). Class I areas are defined as national parks greater than 6000 acres and wilderness areas greater than 5000 acres. These RPOs (Figure 2) are using various air quality models (CMAQ, CAMx, REMSAD) to demonstrate reasonable progress towards natural conditions for their Regional Haze State Implementation Plans (SIPs). This paper will summarize the modeling efforts that are currently underway at each of these RPOs and describe how their member states plan to use this modeling for PM 2.5 and ozone SIPs in addition to their Regional Haze SIPs. Figure 2: Geographic breakdown of the five RPOs from http://www.epa.gov/oar/visibility/regional.html. 2. REGIONAL HAZE AND VISIBILITY Regional haze is the impairment of visibility caused by the presence of particulate matter in the atmosphere that scatter and absorb light. Visibility (Malm, 1999) is a measure of the clearness of the atmosphere and is typically expressed in terms of light extinction (b ext ) or deciviews (dv). b ext (Mm -1 ) = 3*f(RH)*[SO 4 2- ] + 3*f(RH)*[ NO3 - ] + 4*[ORG] + 10*[EC] + 1*[Soils] (1) + 0.6*[PMC] + b rayleigh dv = 10*ln(bext/brayleigh) (2) Figure 1: Federally mandated Class I areas from http://www.epa.gov/ttn/oarpg/t1/fr_notices/classimp.gif *Corresponding author: James W. Boylan, Georgia Department of Natural Resources, 4244 International Parkway, Suite 120, Atlanta, GA 30354; e-mail: james_boylan@dnr.state.ga.us; phone: 404-362-4851; fax: 404-363-7100. where, [SO 4 2- ] is the mass associated with fine sulfate PM (µg/m 3 ), [NO 3 - ] is the mass associated with fine nitrate PM (µg/m 3 ), [OC] is the fine total organic PM mass (µg/m 3 ), [EC] is the fine elemental carbon PM mass (µg/m 3 ), [Soils] is the fine soil (or crustal) PM mass (µg/m 3 ), [CM] is the coarse PM mass (µg/m 3 ), b rayleigh is Rayleigh scattering (10 Mm -1 ), and f(rh) is the climatological relative humidity adjustment factor (unitless). Equation 1 (Malm et al., 2000) assumes that the sulfate and nitrate are fully neutralized with ammonium and adds this assumed ammonium mass to the sulfate and nitrate mass, respectively. 1

3. THE REGIONAL HAZE RULE The objectives of the Regional Haze Rule (EPA, 1999) are (1) achieve natural (no manmade impairment) visibility conditions at federal mandated Class I areas by 2064 for the worst 20% visibility days and (2) prevent any worsening in visibility at Class I areas for best 20% visibility days (Figure 3). 20% Haziest Days dv 20% Cleanest Days Natural Background 2000 2018 Year 2064 Figure 3: Reasonable progress glide slope. Reasonable progress must be demonstrated every 10 years. The first regional haze SIPs are due December 15, 2007 demonstrating reasonable progress toward natural conditions between 2000-2004 and 2014-2018. 4. VISTAS Visibility Improvement State and Tribal Association of the Southeast (VISTAS) is the RPO responsible for managing regional haze in the southeastern U.S. (AL, GA, MS, FL, SC, NC, TN, KY, VA, WV). VISTAS is performing annual simulations for 2002, 2009 and 2018 on a 36 km grid (entire continental U.S.) and a 12 km grid (Figure 4) using MM5, SMOKE, and CMAQ as their primary modeling tools. Corroborative modeling has been performed using CAMx. The modeling contractors involved with this effort include: Baron Advanced Meteorological Systems (MM5), Environ (CMAQ, CAMx), Alpine Geophysics (SMOKE, CMAQ, CAMx), and University of California - Riverside (CMAQ). In addition, Georgia Tech is performing episodic emission sensitivities with CMAQ on the VISTAS 12 km grid. Figure 4: VISTAS 12 km modeling domain All states that have PM2.5 non-attainment areas (AL, GA, KY, NC, TN, VA, WV) and most states that have 8-hour ozone non-attainment areas (AL, GA, KY, NC, SC, TN, VA, WV) will utilize the VISTAS annual 36 and 12 km modeling for SIP attainment demonstrations. Some states will do additional modeling beyond VISTAS. This additional modeling will include annual simulations on smaller 36/12 km domains, modeling on 4 km grids, improvement to specific emission categories (e.g., updated mobile source emissions), and pollutant and source specific emission sensitivities. Additional information on VISTAS modeling can be found at the following web sites: http://www.vistas-sesarm.org/tech/ http://www.baronams.com/projects/vistas/ http://pah.cert.ucr.edu/vistas/vistas2/ http://www.ce.gatech.edu/research/vistas In addition, the newly formed Association for Southeastern Integrated Planning (ASIP) will be performing seasonal 36 and 12 km modeling for 2008 to aid with 8-hour ozone basic nonattainment areas. 5. MRPO The Midwest Regional Planning Organization (MRPO) is affiliated with the Lake Michigan Air Directors Consortium (LADCO) and is responsible for managing regional haze in Illinois, Indiana, Michigan, Ohio, and Wisconsin. MRPO is performing annual simulations for 2001, 2002, 2

2003, 2009, and 2018 on a 36 km grid (Figure 5) using MM5, EMS-2004, and CAMx to model regional haze and PM2.5. Corroborative modeling has been performed using CMAQ. Since all five MRPO states have non-attainment areas for PM2.5 and ozone, additional modeling is being performed for 2008 and 2012 on a 12 km grid (Figure 5) for ozone. In addition, MRPO is using OSAT and PSAT to perform ozone and PM2.5 source apportionment. air quality issues raised by WRAP members may also be addressed. WRAP is performing annual simulations for 2002 and 2018 on a 36 km grid (entire continental U.S.) and a 12 km grid (Figure 6) using MM5, SMOKE, and both CMAQ and CAMx. The modeling contractors involved with this effort include: Carolina Environmental Program (SMOKE), Environ (MM5, CMAQ, CAMx), and University of California - Riverside (CMAQ). In addition, WRAP has used CMAQ with TSSA and plans to use CAMx with PSAT for PM source apportionment. Figure 5: MRPO 36 km grid (regional haze and PM2.5) and nested 12 km grid (ozone). Figure 6: WRAP 36 and 12 km modeling domains. Most of the modeling applications are performed in-house at LADCO while most model development work is contracted out. In addition, each state has in-house modeling capability allowing them the opportunity to perform local scale assessments to help determine local/regional culpability. MRPO provides States with technical support for modeling projects and assists States with system administration and computer hardware needs. Additional information on MRPO modeling can be found at the following web site: http://www.ladco.org/. 6. WRAP The Western Regional Air Partnership (WRAP) is a collaborative effort of tribal governments, state governments (AK, AZ, CA, CO, ID, MT, ND, NM, NV, OR, SD, UT, WA, WY) and various federal agencies to implement the Grand Canyon Visibility Transport Commission's recommendations and to develop the technical and policy tools needed by western states and tribes to comply with the U.S. EPA's regional haze regulations. Other common All of WRAP s PM2.5 non-attainment areas are located in California (except Libby, MT); therefore, California ARB is taking the lead on PM2.5 and ozone NAAQS SIP modeling in California. WRAP does not plan to perform any 2008 or 2009 modeling. However, some non-attainment and EAC areas outside California have used 2002 MM5 and SMOKE files (36 and 12 km) generated by WRAP. Additional information on WRAP modeling can be found at the following web sites: http://www.wrapair.org/ and http://pah.cert.ucr.edu/aqm/308/. 7. CENRAP Central Regional Air Planning Association (CENRAP) is affiliated with the Central States Air Resource Agencies (CENSARA) and is responsible for managing regional haze in Nebraska, Kansas, Oklahoma, Texas, Minnesota, Iowa, Missouri, Arkansas, and Louisiana. CENRAP is performing annual simulations for 2002 and 2018 on a 36 km grid (entire continental U.S.) using MM5, SMOKE, and both CMAQ and 3

CAMx. The modeling contractors involved with this effort include: Environ (CMAQ, CAMx) and University of California - Riverside (SMOKE, CMAQ). MM5 simulations were performed by Iowa DNR. In addition, CENRAP is performing episodic modeling on a 12 km grid (Figure 7). SMOKE, and both CMAQ and REMSAD. Modeling is being performed by NESCAUM (CMAQ and REMSAD), MARAMA (SMOKE), New York DEC (CMAQ), and University of Maryland (MM5). In addition, MANE-VU is running REMSAD with tagged sulfur species to help perform source apportionment. Figure 7: CENRAP 36 and 12 km modeling domains. Figure 8: MANE-VU 12 km modeling domain. CENRAP states with 8-Hour ozone nonattainment areas include Texas, Louisiana, Arkansas, and Missouri. The only PM2.5 nonattainment area in CENRAP is St. Louis, MO. CENRAP does not plan to perform any 2008 or 2009 modeling. However, some states will use CENRAP s model input files and information on model and science options in their PM2.5 and 8- hour ozone modeling. Additional information on CENRAP modeling can be found at the following web sites: http://cenrap.org/ and http://pah.cert.ucr.edu/aqm/cenrap/. 8. MANE-VU Mid-Atlantic/Northeast Visibility Union (MANE-VU) is working on regional haze issues in the northeastern U.S. (CT, DE, DC, ME, MD, MA, NH, NJ, NY, PA, RI, VT) and is a partnership between the Northeast States for Coordinated Air Use Management (NESCAUM), Mid-Atlantic Regional Air Management Association (MARAMA), and the Ozone Transport Commission (OTC). MANE-VU is performing annual simulations for 2002, 2009, and 2018 on a 12 km grid (Figure 8) using MM5, MANE-VU states with PM2.5 non-attainment areas include NY, NJ, CT, PA, DC, MD, and DE. These states will use MANE-VU modeling as starting point for their PM2.5 modeling attainment demonstrations. States with 8-Hour ozone nonattainment areas include NY, NJ, CT, PA, DC, MD, DE, MA, RI, CT, NH, ME. The OTC modeling committee is coordinating 8-hour ozone modeling as a regional activity. Additional information on MANE-VU activities can be found at http://www.manevu.org/. 9. REFERENCES EPA, 1999: Regional Haze Regulations; Final Rule. Federal Register, 64, 35713-35774. Malm, W.C., 1999: Introduction to Visibility, CA2350-97-001: T097-04, T098-06; Cooperative Institute for Research in the Atmosphere; Colorado State University: Fort Collins, CO (http://vista.cira.colostate.edu/improve/educati on/introtovisinstr.htm). Malm, W.C., M.L. Pitchford, M. Scruggs, J.F. Sisler, R. Ames, S. Copeland, K.A. Gebhart, 4

and D.E. Day, 2000: Spatial and Seasonal Patterns and Temporal Variability of Haze and its Constituents in the United States, Report III; ISSN: 0737-5352-47; Cooperative Institute for Research in the Atmosphere; Colorado State University: Fort Collins, CO. 10. ACKNOWLEDGEMENTS The author would like to acknowledge the contributions to this paper from the following people: Pat Brewer (VISTAS), Kirk Baker (LADCO), Tom Moore (WRAP), Lee Warden (Oklahoma DEQ), Calvin Ku (Missouri DNR), and Gary Kleiman (NESCAUM). 5