V:\corporate\marketing\overview.ppt Baton Rouge 8-hr Ozone Modeling Technical Review Meeting Presentation to the LDEQ/AQSD & 8-hr Ozone SIP Coalition July.

Slides:



Advertisements
Similar presentations
POMI Po Valley Model Intercomparison Exercise CAMx model overview In cooperation with AMA - MI.
Advertisements

Modeling Guidance and Examples for Commonly Asked Questions (Part II) Reece Parker and Justin Cherry, P.E. Air Permits Division Texas Commission on Environmental.
1 Estimating On-Road Vehicle Emissions Using CONCEPT Alison K. Pollack Ralph Morris ENVIRON International Corporation.
Status of 8-Hour Ozone NAAQS Program in Clark County Presentation to Air Quality Forum May 10, 2005.
REDUCTION OF HIGHLY REACTIVE VOLATILE ORGANIC COMPOUNDS & VARIABLE EMISSIONS IN HOUSTON/GALVESTON: MONITORING, MODELING, MEASURING, RULEMAKING David Allen.
1 Policies for Addressing PM2.5 Precursor Emissions Rich Damberg EPA Office of Air Quality Planning and Standards June 20, 2007.
PM 2.5 in the Upper Midwest Michael Koerber Lake Michigan Air Directors Consortium.
Template Summary of FY12-13 Work Plan Technical Activities Sue Kemball-Cook and Greg Yarwood NETAC Technical Committee Meeting April 22, 2014.
Three-State Air Quality Study (3SAQS) Three-State Data Warehouse (3SDW) 2008 CAMx Modeling Model Performance Evaluation Summary University of North Carolina.
Template Photochemical Modeling of Louisiana for the 2008 Ozone Standard Chris Emery ENVIRON International Corporation, Novato CA November 14, 2012.
Christian Seigneur AER San Ramon, CA
Air Quality Impacts from Prescribed Burning Karsten Baumann, PhD. Polly Gustafson.
Session 9, Unit 17 UAM and CAMx. UAM and CAMx UAM - Urban Airshed Model Currently available versions:  UAM-V 1.24  UAM-V 1.30  Available from Systems.
Issues on Ozone Planning in the Western United States Prepared by the WESTAR Planning Committee for the Fall Business Meeting, Tempe, AZ October 31, 2011.
Krish Vijayaraghavan, Prakash Karamchandani Christian Seigneur AER San Ramon, CA 3rd Annual CMAS Models-3 Conference October 18-20, 2004 Chapel Hill, NC.
Recent Developments in the Community Emissions Model CONCEPT 5 th Annual CMAS Model User Conference Tuesday October 17, 2006 Mark Janssen LADCO.
Ams/awma_ PROCESS-BASED ANALYSIS OF THE ROLE OF THE GULF BREEZE IN SIMULATING OZONE CONCENTRATIONS ALONG THE EASTERN GULF COAST Sharon G. Douglas.
PM2.5 Model Performance Evaluation- Purpose and Goals PM Model Evaluation Workshop February 10, 2004 Chapel Hill, NC Brian Timin EPA/OAQPS.
EFFICIENT CHARACTERIZATION OF UNCERTAINTY IN CONTROL STRATEGY IMPACT PREDICTIONS EFFICIENT CHARACTERIZATION OF UNCERTAINTY IN CONTROL STRATEGY IMPACT PREDICTIONS.
The Impact of Biogenic VOC Emissions on Tropospheric Ozone Formation in the Mid-Atlantic Region Michelle L. Bell Yale University Hugh Ellis Johns Hopkins.
Further Development and Application of the CMAQ Ozone and Particle Precursor Tagging Methodologies (OPTM & PPTM) 7 th Annual CMAS Conference Chapel Hill,
The Pattern and Transport of Ozone in the Missouri Region Rudolf Husar and Bret Schichtel CAPITA Washington University April 9, 1997 Prepared for a briefing.
Ozone MPE, TAF Meeting, July 30, 2008 Review of Ozone Performance in WRAP Modeling and Relevance to Future Regional Ozone Planning Gail Tonnesen, Zion.
Soontae Kim and Daewon W. Byun Comparison of Emission Estimates from SMOKE and EPS2 Used for Studying Houston-Galveston Air Quality Institute for Multidimensional.
Georgia Environmental Protection Division Uncertainty Analysis of Ozone Formation and Emission Control Responses using High-order Sensitivities Di Tian,
1 CCOS Update November 3, 2006 PC Meeting Project Status –Completed Projects Results –On-Going Projects Status Plan for CCOS Final Phase –Guiding Principles.
Presentation by: Dan Goldberg Co-authors: Tim Vinciguerra, Linda Hembeck, Sam Carpenter, Tim Canty, Ross Salawitch & Russ Dickerson 13 th Annual CMAS Conference.
WRAP Regional Modeling Center April 25-26, 2006 AoH Work Group Meeting Regional Modeling Center Status Report AoH Workgroup Meeting Seattle, WA April 25-26,
U.S.-Canada Air Quality Agreement: Transboundary PM Science Assessment Report to the Air Quality Committee June, 2004.
V:\corporate\marketing\overview.ppt CRGAQS: Initial CAMx Results Presentation to the Gorge Study Technical Team By ENVIRON International Corporation October.
1 Comparison of CAMx and CMAQ PM2.5 Source Apportionment Estimates Kirk Baker and Brian Timin U.S. Environmental Protection Agency, Research Triangle Park,
Modeling Compliance with the 8-Hour Standard Jay Olaguer Houston Advanced Research Center 10/06/04.
The effect of pyro-convective fires on the global troposphere: comparison of TOMCAT modelled fields with observations from ICARTT Sarah Monks Outline:
PM Model Performance & Grid Resolution Kirk Baker Midwest Regional Planning Organization November 2003.
Wildland Fire Impacts on Surface Ozone Concentrations Literature Review of the Science State-of-Art Ned Nikolov, Ph.D. Rocky Mountain Center USDA FS Rocky.
Utah Department of Environmental Quality Division of Air Quality Utah Department of Environmental Quality Division of Air Quality WRAP Technical Analysis.
Application of the CMAQ Particle and Precursor Tagging Methodology (PPTM) to Support Water Quality Planning for the Virginia Mercury Study 6 th Annual.
Regional Modeling Joseph Cassmassi South Coast Air Quality Management District USA.
Role of Air Quality Modeling in the RIA Norm Possiel & Pat Dolwick Air Quality Modeling Group EPA/OAQPS.
Source Attribution Modeling to Identify Sources of Regional Haze in Western U.S. Class I Areas Gail Tonnesen, EPA Region 8 Pat Brewer, National Park Service.
Statewide Protocol: Regional Application August 27, 2003 Air Resources Board California Environmental Protection Agency Luis F. Woodhouse.
1 Results of 2010/2015 Post-CAIR Ozone Source Apportionment Modeling August 2005 OAR/OAQPS/EMAD/AQMG.
GEOS-CHEM Modeling for Boundary Conditions and Natural Background James W. Boylan Georgia Department of Natural Resources - VISTAS National RPO Modeling.
1. How is model predicted O3 sensitive to day type emission variability and morning Planetary Boundary Layer rise? Hypothesis 2.
1 Prakash Karamchandani 1, David Parrish 2, Lynsey Parker 1, Thomas Ryerson 3, Paul O. Wennberg 4, Alex Teng 4, John D. Crounse 4, Greg Yarwood 1 1 Ramboll.
Template Summary of FY12-13 Work Plan Technical Activities Sue Kemball-Cook and Greg Yarwood NETAC Policy Committee Meeting April 22, 2014.
Georgia Institute of Technology SUPPORTING INTEX THROUGH INTEGRATED ANALYSIS OF SATELLITE AND SUB-ORBITAL MEASUREMENTS WITH GLOBAL AND REGIONAL 3-D MODELS:
Peak 8-hr Ozone Model Performance when using Biogenic VOC estimated by MEGAN and BIOME (BEIS) Kirk Baker Lake Michigan Air Directors Consortium October.
Photochemical grid model estimates of lateral boundary contributions to ozone and particulate matter across the continental United States Kirk Baker U.S.
CALGRID Modeling Overview A First Look A Modeling Effort by the OTC Modeling Committee Presented by: Jeffrey Underhill, Ph.D. NHDES OTC/MANE-VU Annual.
Western Air Quality Issues and Photochemical Modeling - An Industrial Perspective Doug Blewitt, CCM AQRM Dana Wood, PE BP.
V:\corporate\marketing\overview.ppt CRGAQS: CAMx 2004 PSAT Results Presentation to the Gorge Study Technical Team By ENVIRON International Corporation.
Template Comparison of PM Source Apportionment and Sensitivity Analysis in CAMx Bonyoung Koo, Gary Wilson, Ralph Morris, Greg Yarwood ENVIRON Alan Dunker.
Western Regional Technical Air Quality Studies: support for Ozone and other Air Quality Planning in the West Tom Moore Air Quality Program Manager Western.
MRPO Technical Approach “Nearer” Term Overview For: Emissions Modeling Meteorological Modeling Photochemical Modeling & Domain Model Performance Evaluation.
V:\corporate\marketing\overview.ppt CRGAQS: CAMx Sensitivity Results Presentation to the Gorge Study Technical Team By ENVIRON International Corporation.
Western Regional Technical Projects 2011 through 2013
CENRAP Modeling and Weight of Evidence Approaches
Ozone Transport Analysis Using Back-Trajectories and CAMx Probing Tools Sue Kemball-Cook, Greg Yarwood, Bonyoung Koo and Jeremiah Johnson, ENVIRON Jim.
Mobile Source Contributions to Ambient PM2.5 and Ozone in 2025
Kenneth Craig, Garnet Erdakos, Lynn Baringer, and Stephen Reid
Sunil Kumar TAC, COG July 9, 2007
Photochemical Modeling of Industrial Flare Plumes with SCICHEM 3.1
Source Apportionment Modeling to Investigate Background, Regional, and Local Contributions to Ozone Concentrations in Denver, Phoenix, Detroit, and Atlanta.
Hybrid Plume/Grid Modeling for the Allegheny County PM2.5 SIPs
Issues on Ozone Planning in the Western United States
Some thoughts on future air quality models from a WRF-Chem modeler
U.S. Perspective on Particulate Matter and Ozone
Diagnostic and Operational Evaluation of 2002 and 2005 Estimated 8-hr Ozone to Support Model Attainment Demonstrations Kirk Baker Donna Kenski Lake Michigan.
CRGAQS: CAMx PSAT Results
Presentation transcript:

V:\corporate\marketing\overview.ppt Baton Rouge 8-hr Ozone Modeling Technical Review Meeting Presentation to the LDEQ/AQSD & 8-hr Ozone SIP Coalition July 27, 2006

V:\corporate\marketing\overview.ppt Today’s Presentation Conceptual Model of 8-hr Ozone Episode Analysis Modeling System Modeling Domain Emission Inventory Development –Area & Point Sources –Motor Vehicles (on-road & off-road) –Biogenics & Fires

V:\corporate\marketing\overview.ppt Today’s Presentation Initial/boundary conditions Use of Probing Tools

V:\corporate\marketing\overview.ppt Conceptual Model Baton Rouge is a Marginal 8-hr Ozone nonattainment area –Single 2003 exceedance DV: LSU = 86 ppb –Four 2005 exceedance DVs: LSU = 96 ppb –2006 exceedances: Will not attain standard by June 2007 as required

V:\corporate\marketing\overview.ppt Conceptual Model –Likely “bump-up” to Moderate area Attainment date: June 2010 Spatial distribution –Four key exceedance monitors LSU, Baker, Carville, Port Allen Aligned south-to-north along river Other monitors mostly outside & south of Baton Rouge –Likely interaction between urban, industrial, and biogenic emissions

V:\corporate\marketing\overview.ppt Conceptual Model

V:\corporate\marketing\overview.ppt Conceptual Model Temporal distribution –Diurnal: classic 12 – 4 PM peaks Evidence of ozone cloud transport site to site No obvious late AM ROFEs or THOEs Possible early PM ROFEs or THOEs –Weekly: no clear-cut weekday/weekend dependencies – more analysis needed –Seasonal: trends toward late spring, early fall multi-day, multi-site episodes In last few years, mid-summer episodes are typically 1-day, few sites

V:\corporate\marketing\overview.ppt Conceptual Model

V:\corporate\marketing\overview.ppt Conceptual Model Weather requirements –Stagnation, light/variable winds under high pressure Exceedances independent of wind direction –Clear skies –Temperatures do not need to be hot Many exceedances in low 80’s F Emissions-driven, not heat-driven –Few prolonged hot summer episodes Excessive PBL venting or Gulf breeze? Recent interannual climate?

V:\corporate\marketing\overview.ppt Conceptual Model Regional transport –Needs 2-3 day transport times Recent summer episodes are too short Some multi-day episodes are clearly caused by local stagnation, re-circulation Some multi-day episodes establish consistent transport corridors from midwest, Ohio Valley, south-east U.S. –Choose episodes that represent mix of conditions Season, meteorology, transport, WE/WD

V:\corporate\marketing\overview.ppt Episode Analyses Screened 14 episodes from –2005 de-emphasized Concern about availability of emissions data Reduced to 6 candidates –Max exceedance monitor-days at 4 key monitors –Min number of modeling days –Different times of year –Recent episodes

V:\corporate\marketing\overview.ppt Episode Analyses 6 candidates –May 19-30, 2003 (M, Sa, W, Th) –September 28-30, 2004 (W, Th) –April 12-30, 2003 (Su, M, F, Su, M, Tu) –October 4-6, 2003 (Sa, Su) –May 4-9, 2004 (Tu, W, Th, Sa) –August 11 – September 5, 2000 (F, Su, Th, F, Sa, Su, M, F, Sa, W, Th, F, Sa, Su)

V:\corporate\marketing\overview.ppt Episode Analyses Comparison to CART analysis Bin 10 (22%) Bin 20 (24%) Bin 25 (33%) Bin 27 (10%) Bin 35 (11%)

V:\corporate\marketing\overview.ppt Episode Analyses Final 2-3 episodes need to be selected from 6 candidates –Input from advisory group –Consider schedule, resources, and pre- existing datasets –July 31 draft Protocol documents conceptual model for each of 6 episodes

V:\corporate\marketing\overview.ppt Episode Analyses

V:\corporate\marketing\overview.ppt Episode Analyses

V:\corporate\marketing\overview.ppt Episode Analyses

V:\corporate\marketing\overview.ppt Episode Analyses

V:\corporate\marketing\overview.ppt Episode Analyses

V:\corporate\marketing\overview.ppt Episode Analyses

V:\corporate\marketing\overview.ppt Modeling System MM5 – Meteorological Model –Widely used to support regulatory modeling EPS3 – Emissions Processor –LDEQ is familiar with EPS CAMx – Air Quality Model –Widely used to support regulatory modeling in south-central U.S. –Full Chemistry PiG allows evaluation of HRVOC plumes

V:\corporate\marketing\overview.ppt Domain Configuration Regional grid (36 km) based on TCEQ Intermediate grid (12 km) captures transport from Midwest and Southeast Local grid (4 km) along Gulf Coast, including Houston Vertical grid based on St. Louis modeling

V:\corporate\marketing\overview.ppt Domain Configuration

V:\corporate\marketing\overview.ppt Domain Configuration

V:\corporate\marketing\overview.ppt Domain Configuration

V:\corporate\marketing\overview.ppt Emission Inventories Start-point inventories: –2002 CENRAP Base B –2002 VISTAS Base G –2002 MRPO Base K –TCEQ inventories and other datasets Useful for August/September 2000 episode Replace CENRAP data for Texas when available for other years?

V:\corporate\marketing\overview.ppt Emission Inventories – LDEQ data, as available Stationary point, area On-road: VMT, MOBILE6 Non-road: NONROAD

V:\corporate\marketing\overview.ppt Emission Inventories Inventory projections –Specific modeling years ( , 2009) Regional: based on RPOs, EPA, and TCEQ Local: future year projections are challenging due to recent events –EGU and other large sources: Use CEM as available for base case model performance evaluation Use “typical” inventory rates for projected base and future years

V:\corporate\marketing\overview.ppt Emission Inventories Biogenics from GloBEIS –All grids, episode-day specific –Driven by: MM5 and/or temperature observations Satellite PAR data Land cover/biomass data (GIS, etc.) –Held constant into 2009 future year Fires (wild, agricultural, prescribed) –As needed, as available

V:\corporate\marketing\overview.ppt Initial/Boundary Conditions Only needed on 36-km grid Use 2002 VISTAS model output fields –Derive monthly-average diurnally-varying IC/BCs for base case episodes Use 2009 VISTAS model output fields –If available, as described above –Otherwise, use 2002 fields

V:\corporate\marketing\overview.ppt CAMx Probing Tools Ozone Source Apportionment Technology (OSAT) –Determines source area/category contribution to ozone anywhere in the domain –Tracks NOx and VOC precursor emissions, ozone production/destruction, and initial/boundary conditions –Estimates ozone production uner NOx- or VOC limited conditions

V:\corporate\marketing\overview.ppt CAMx Probing Tools OSAT –HOWEVER: it cannot quantify ozone response to NOx or VOC controls –Chemical allocation methodologies: OSAT: standard approach APCA: attributes ozone production to anthropogenic (controllable) sources only GOAT: tracks ozone based on where it formed, not where precursors were emitted

V:\corporate\marketing\overview.ppt CAMx Probing Tools PM Source Apportionment Technology (PSAT) –Parallel to OSAT operation –Tracks user-defined groups of species for sulfate, nitrate, ammonium, SOA, Mercury, and primary PM

V:\corporate\marketing\overview.ppt CAMx Probing Tools Decoupled Direct Method (DDM) for sensitivity analysis –Calculates first-order concentration sensitivity to emissions, initial/boundary conditions –Allows estimates of effects of emission changes –Allows ranking of source region/ categories by their importance to ozone formation

V:\corporate\marketing\overview.ppt CAMx Probing Tools DDM –Slower than OSAT, but: Provides information for all species (not just ozone) More flexible in selecting which parameters to track Better estimate of small emission perturbation impacts (e.g., control measures) Includes sensitivity from non-linear secondary effects

V:\corporate\marketing\overview.ppt CAMx Probing Tools Process Analysis (PA) –Designed to provide in-depth analyses of all physical and chemical processes operating in model –Operates on user-defined species and any portion of the modeling grid –Appropriate for evaluating base case performance –Recent UNC enhancements

V:\corporate\marketing\overview.ppt CAMx Probing Tools PA –Three components: Integrated Process Rate (IPR): provides detailed process rate information for each physical process (emissions, advection, diffusion, chemistry, deposition) Integrated Reaction Rate (IRR): provides detailed reaction rate information for all chemical reactions Chemical Process Analysis (CPA): like IRR, but designed to be more user-friendly and accessible

V:\corporate\marketing\overview.ppt CAMx Probing Tools Reactive Tracers (RTRAC) –Tracks multiple independent reactive gas and particle tracers Tracers operate in parallel to the CAMx host model Allows for several generations of products Decay/production uses standard gas-phase mechanism photolysis and oxidants Can output tracer decay rates to a separate Lagrangian model for “fenceline” dispersion calculations

V:\corporate\marketing\overview.ppt CAMx Probing Tools RTRAC –Designed for primarily for air toxics Assumes RTRAC species have minimal impact on photochemistry Each tracer can be “tagged” for source apportionment –RTRAC works with IRON PIG An optional “sampling grid” capability passively samples near-source sub-grid RTRAC surface concentrations within reactive PiG plumes