Modeling Aerosol Formation and Transport in the Pacific Northwest with the Community Multi-scale Air Quality (CMAQ) Modeling System Susan M. O'Neill Fire.

Slides:



Advertisements
Similar presentations
Analysis of 12 years of IMPROVE data in the Columbia River Gorge By Dan Jaffe University of Washington Northwest Air Quality Photo from the Wishram IMPROVE.
Advertisements

Inventory Issues and Modeling- Some Examples Brian Timin USEPA/OAQPS October 21, 2002.
Photochemical Model Performance for PM2.5 Sulfate, Nitrate, Ammonium, and pre-cursor species SO2, HNO3, and NH3 at Background Monitor Locations in the.
Multi-scale and Ensemble Modeling of the Effects of Global Change on Air Quality in the US NW –AIRQUEST Annual Meeting Washington State University Pullman,
1 Recent PM 2.5 Trends in Georgia André J. Butler Mercer University EVE 290L 14 April, 2008.
Three-State Air Quality Study (3SAQS) Three-State Data Warehouse (3SDW) 2008 CAMx Modeling Model Performance Evaluation Summary University of North Carolina.
Incorporation of the Model of Aerosol Dynamics, Reaction, Ionization and Dissolution (MADRID) into CMAQ Yang Zhang, Betty K. Pun, Krish Vijayaraghavan,
V:\corporate\marketing\overview.ppt CRGAQS: Revised CAMx Results Presentation to the Gorge Study Technical Team By ENVIRON International Corporation December.
Title EMEP Unified model Importance of observations for model evaluation Svetlana Tsyro MSC-W / EMEP TFMM workshop, Lillestrøm, 19 October 2010.
4-km AIRPACT vs 12-km AIRPACT Both with dynamic boundary conditions from MOZART-4 Figures created on 5/29/2011 (corrected corrupted JPROC input file)
Climate, Fire and Air Quality Climate Impacts Group June 1, 2006.
The AIRPACT-3 Photochemical Air Quality Forecast System: Evaluation and Enhancements Jack Chen, Farren Thorpe, Jeremy Avis, Matt Porter, Joseph Vaughan,
Working together for clean air Puget Sound Area Ozone Modeling NW AIRQUEST December 4, 2006 Washington State University Puget Sound Clean Air Agency Washington.
Regional Air Quality Modeling: Long Range Global Change Simulations.
The AIRPACT-3 Photochemical Air Quality Forecast System: Evaluation and Enhancements Jack Chen, Farren Thorpe, Jeremy Avis, Matt Porter, Joseph Vaughan,
Evaluation of the AIRPACT2 modeling system for the Pacific Northwest Abdullah Mahmud MS Student, CEE Washington State University.
Modelling the impact of three sets of future vehicle emission standards on PM concentrations in the Lower Fraser Valley Weimin Jiang, Éric Giroux, Dazhong.
CMAQ (Community Multiscale Air Quality) pollutant Concentration change horizontal advection vertical advection horizontal dispersion vertical diffusion.
The Sensitivity of Aerosol Sulfate to Changes in Nitrogen Oxides and Volatile Organic Compounds Ariel F. Stein Department of Meteorology The Pennsylvania.
NATURAL AND TRANSBOUNDARY INFLUENCES ON PARTICULATE MATTER IN THE UNITED STATES: IMPLICATIONS FOR THE EPA REGIONAL HAZE RULE Rokjin J. Park ACCESS VII,
Beta Testing of the SCICHEM-2012 Reactive Plume Model James T. Kelly and Kirk R. Baker Office of Air Quality Planning & Standards US Environmental Protection.
2004 Technical Summit Overview January 26-27, 2004 Tempe, AZ.
Aerosol Extinction Assessment and Impact on Regional Haze Rule Implementation Douglas Lowenthal Desert Research Institute Pat Ryan Sonoma Technology, Inc.
University of California Riverside, ENVIRON Corporation, MCNC WRAP Regional Modeling Center WRAP Regional Haze CMAQ 1996 Model Performance and for Section.
Examination of the impact of recent laboratory evidence of photoexcited NO 2 chemistry on simulated summer-time regional air quality Golam Sarwar, Robert.
TSS Data Preparation Update WRAP TSS Project Team Meeting Ft. Collins, CO March 28-31, 2006.
MODELS3 – IMPROVE – PM/FRM: Comparison of Time-Averaged Concentrations R. B. Husar S. R. Falke 1 and B. S. Schichtel 2 Center for Air Pollution Impact.
Center for Environmental Research and Technology University of California, Riverside Bourns College of Engineering Evaluation and Intercomparison of N.
PM2.5 Model Performance Evaluation- Purpose and Goals PM Model Evaluation Workshop February 10, 2004 Chapel Hill, NC Brian Timin EPA/OAQPS.
Regional Haze Rule Reasonable Progress Goals I.Overview II.Complications III.Simplifying Approaches Prepared by Marc Pitchford for the WRAP Reasonable.
MANE-VU states, Virginia and West Virginia Regional Haze Trend Analyses Latest available (December 2011) IMPROVE DATA (for TSC 5/22/2012) Tom.
Jenny Hand CIRA Acadia National Park, ME Interagency Monitoring of Protected Visual Environments (IMPROVE)
Brief Description of CALPUFF Navajo Nation Environmental Protection Agency.
1 Options for Estimating Natural Background Visibility in the VISTAS Region Ivar Tombach with benefit of material prepared by Jim Boylan and Daniel Jacob.
WRAP Modeling. WRAP Setup Two-pronged approach Jump start Regional Modeling Center (RMC) Jump start contractor MCNC/ENVIRON RMC UCR/ENVIRON.
V:\corporate\marketing\overview.ppt CRGAQS: Initial CAMx Results Presentation to the Gorge Study Technical Team By ENVIRON International Corporation October.
A comparison of PM 2.5 simulations over the Eastern United States using CB-IV and RADM2 chemical mechanisms Michael Ku, Kevin Civerolo, and Gopal Sistla.
Modeling of Ammonia and PM 2.5 Concentrations Associated with Emissions from Agriculture Megan Gore, D.Q. Tong, V.P. Aneja, and M. Houyoux Department of.
PM Model Performance in Southern California Using UAMAERO-LT Joseph Cassmassi Senior Meteorologist SCAQMD February 11, 2004.
WRAP Experience: Investigation of Model Biases Uma Shankar, Rohit Mathur and Francis Binkowski MCNC–Environmental Modeling Center Research Triangle Park,
Preliminary Study: Direct and Emission-Induced Effects of Global Climate Change on Regional Ozone and Fine Particulate Matter K. Manomaiphiboon 1 *, A.
Operational Evaluation and Comparison of CMAQ and REMSAD- An Annual Simulation Brian Timin, Carey Jang, Pat Dolwick, Norm Possiel, Tom Braverman USEPA/OAQPS.
Northwest-AIRQUEST & AIRPACT-3 Regional Modeling Studies Joseph Vaughan, Farren Thorpe, Ying Xie, Serena Chung, Brian Lamb and George Mount Laboratory.
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.
Impact of high resolution modeling on ozone predictions in the Cascadia region Ying Xie and Brian Lamb Laboratory for Atmospheric Research Department of.
NATURAL AND TRANSBOUNDARY POLLUTION INFLUENCES ON AEROSOL CONCENTRATIONS AND VISIBILITY DEGRADATION IN THE UNITED STATES Rokjin J. Park, Daniel J. Jacob,
Applications of Models-3 in Coastal Areas of Canada M. Lepage, J.W. Boulton, X. Qiu and M. Gauthier RWDI AIR Inc. C. di Cenzo Environment Canada, P&YR.
Effects of Emission Adjustments on Peak Ground-Level Ozone Concentration in Southeast Texas Jerry Lin, Thomas Ho, Hsing-wei Chu, Heng Yang, Santosh Chandru,
GEOS-CHEM Modeling for Boundary Conditions and Natural Background James W. Boylan Georgia Department of Natural Resources - VISTAS National RPO Modeling.
Post-processing air quality model predictions of fine particulate matter (PM2.5) at NCEP James Wilczak, Irina Djalalova, Dave Allured (ESRL) Jianping Huang,
Evaluation of Models-3 CMAQ I. Results from the 2003 Release II. Plans for the 2004 Release Model Evaluation Team Members Prakash Bhave, Robin Dennis,
May 22, UNDERSTANDING THE EFFECTIVENESS OF PRECURSOR REDUCTIONS IN LOWERING 8-HOUR OZONE CONCENTRATIONS Steve Reynolds Charles Blanchard Envair 12.
Implementation Workgroup Meeting December 6, 2006 Attribution of Haze Workgroup’s Monitoring Metrics Document Status: 1)2018 Visibility Projections – Alternative.
Peak 8-hr Ozone Model Performance when using Biogenic VOC estimated by MEGAN and BIOME (BEIS) Kirk Baker Lake Michigan Air Directors Consortium October.
W. T. Hutzell 1, G. Pouliot 2, and D. J. Luecken 1 1 Atmospheric Modeling Division, U. S. Environmental Protection Agency 2 Atmospheric Sciences Modeling.
1 Projects:/WRAP_RMC/Presents/ADEQ_Feb ppt Western Regional Air Partnership (WRAP) Regional Modeling Center (RMC) Preliminary Fire Modeling Results.
Emission reductions needed to meet proposed ozone standard and their effect on particulate matter Daniel Cohan and Beata Czader Department of Civil and.
Draft, 5 June NATURAL HAZE LEVELS SENSITIVITY ASSESSMENT 2. Critical Evaluation of Current Approach for Estimating Natural Conditions Ivar Tombach.
Aerosol Pattern over Southern North America Tropospheric Aerosols: Science and Decisions in an International Community A NARSTO Technical Symposium on.
BACKGROUND AEROSOL IN THE UNITED STATES: NATURAL SOURCES AND TRANSBOUNDARY POLLUTION Daniel J. Jacob and Rokjin J. Park with support from EPRI, EPA/OAQPS.
V:\corporate\marketing\overview.ppt CRGAQS: CAMx Sensitivity Results Presentation to the Gorge Study Technical Team By ENVIRON International Corporation.
The average PM2.5 mass concentration based on IMPROVE data available from September 2000 to December 2002 is 3.3 mg/m3 The highest occurrence of the 20%
Stephen Mueller & Jonathan Mallard Tennessee Valley Authority
Deborah Luecken and Golam Sarwar U.S. EPA, ORD/NERL
Simulation of Ozone and PM in Southern Taiwan
Joe Adlhoch - Air Resource Specialists, Inc.
Steve Griffiths, Rob Lennard and Paul Sutton* (*RWE npower)
WRAP Regional Modeling Center (RMC)
Results from 2018 Preliminary Reasonable Progress Modeling
Current Research on 3-D Air Quality Modeling: wildfire!
Presentation transcript:

Modeling Aerosol Formation and Transport in the Pacific Northwest with the Community Multi-scale Air Quality (CMAQ) Modeling System Susan M. O'Neill Fire and Environmental Applications (FERA) Team USDA Forest Service Seattle, WA

The NorthWest Regional Modeling Center (NWRMC) Collaborators: EPA Region X, WSU, States of Washington, Oregon, and Idaho, and Canada Study Period: July 3-15, km Domain: Washington, Oregon, Idaho, SW Canada Two Emission Inventories NET96, BEIS2 NWRMC, GLOBEIS Chemical Mechanism: RADM2_CI4_AE2_AQ

12 km Domain Terrain Elevation

Chemical Observation Stations

Emission Inventory Summary Metric tons per day Anthropogenic Emissions Biogenic Emissions Total Emissions NET96NWRMCNET96 (BEIS2) NWRMC (GLOBEIS) NET96NWRMC Isoprene OLT Terpenes Total VOC NH NOx Biogenic VOC emissions are 2.8 times higher in the NWRMC EI MBO (lumped into OLT) accounts for 14% of the VOC’s in the NWRMC Terpene emissions are 4 times higher in the NWRMC Anthropogenic NH3 emissions are 7.8 times higher in the NET96 EI

Results - Aerosol Concentrations Compare 2 CMAQ solutions with 12 IMPROVE Station Measurements for: –Total PM2.5 –Inorganic PM2.5 - SO4, NO3, (NH4) Influence of molar ratio of [NH3 + NH4]/[SO4] –Organic PM2.5 –Visibility Aerosol Concentrations at the Columbia River Gorge (CRG).

9849Error (%) 93-15Bias (%) Index R^2 NWRMCNET96 Total PM2.5  NWRMC: PM2.5 < 20µg/m3 for much of period, then up to 35 µg/m3 in CRG, Olympics and Central Idaho.  NET96: Similar in trend to NWRMC but lower concentrations. Similar hot spots in Portland (45 µg/m3)/CRG and Olympics but not in Central Idaho. (July 14, 1996, 7am) NWRMC NET96

 Inorganics impact the Urban corridor west of the Cascades with some advection through the CRG.  Urban effect much more pronounced in the NET96, especially at Portland with concentrations up to 15 ug/m^3  Little diurnal variation of inorganics on a domain average. (NWRMC = 1.3 ug/m^3, NET96 = 0.15 ug/m^3) Error (%) Bias (%) Index R^2 NWRMC NET96 NWRMC NET96 NO3SO2 Inorganic Aerosols (July 14, 1996, 7am) NWRMC NET96

Ratio: [NH4+NH3]/SO4 July 14, 1996, 7am  NWRMC: Ratio varied about 1 SO4 Formation Dominates Little NO3 Formation  NET96: Ratio >= 2 Excess Ammonia NO3 Formation NWRMC NET96  Given the order of magnitude difference in ammonia emissions, “reality” lies in between.  Measurements of ammonia and an ammonia emissions model are critical to validation/understanding of the inorganic chemistry. (July 14, 1996, 7am)

 Peak PM2.5 concentrations correspond to peak concentrations of organic aerosols.  Organic aerosol concentrations peak in the morning hours due to terpene emissions, chemistry & meteorology.  Regional hot spots: CRG & Olympics - Anthropogenic Idaho - Biogenic 5435Error (%) 44-2Bias (%) Index R^2 NWRMCNET96Organic Aerosols NWRMC NET96 (July 14, 1996, 7am)

Visibility In rural areas, scattering of light by aerosol particles accounts for up to 95% of the total light extinction. Reconstructed extinction coefficient (bext) calculated by: bext = * f(rh) * {[ammonium sulfate] + [ammonium nitrate]} * [organic aerosol mass] * [elemental carbon] * [fine soil] The deciview (dv) linearizes the extinction coefficient: dv = 10 ln(bext/10), where bext is in units of 1/Mm

 NWRMC performed better for all statistics.  Visibility impairment in the NET96 solution tended to lie west of the Cascades or occur near urban areas.  Both solutions tended to under- predict visibility degradation 1730Error (%) -25Bias (%) Index R^2 NWRMCNET96Deciview NWRMC NET96 (July 14, 1996, 7am)

Columbia River Gorge IMPROVE Site

Inorganics at the Columbia River Gorge IMPROVE Site

Organic Carbon at the Columbia River Gorge IMPROVE Site

Visibility at the Columbia River Gorge IMPROVE Site

Summary This is the first step in a comprehensive performance evaluation of CMAQ for the Pacific Northwest. Two Emission Inventories produced two sets of solutions –order of magnitude difference in NH3 emissions –3 times greater VOC emissions in NWRMC EI Compared the two solutions with measurements at 12 IMPROVE sites. NWRMC solution tended to over-predict PM2.5 (bias = 93%) and the NET96 solution tended to under-predict PM2.5 (bias = -15%) NWRMC tended to over-predict SO4 and under-predict NO3 NET96 tended to under-predict SO4 and performed well for NO3 Maximum PM2.5 concentrations correspond to peak organic aerosol concentrations. The NWRMC solution performs well predicting light extinction while the NET96 solution under-predicts light extinction.

Recommendations Model Development –Improve treatment of organics in aerosol chemistry account for different terpene specie yields organics can modify the water chemistry –Account for course mode aerosols in extinction calculation –Incorporate NaCl chemistry –Transfer accumulation mode mass to course mode (NH4, OC, NO3) –Include crustal species - significant in areas with airborne dust

Recommendations (cont) Emission Inventory Development –Include emissions from: wind-blown dust, field burning, prescribed fires –Investigate Biogenic emissions –NH3 Two EI solutions presented - “reality” lies inbetween NH3 Emissions Model Include NH3 from Oceans Sensitivity Analysis –Investigate interdependencies of PM and ozone formation –Do smaller grid scale studies

Acknowledgements States of Oregon, Idaho, Washington - Emission Inventory Development EPA Region X - Jeff Arnold, Rob Wilson, Bill Puckett Canada – Colin Di Cenzo, Weimin Jiang Washington State University –Brian Lamb, Shelley Pressley, Jack Chen –Dennis Finn and Candis Claiborn – Spokane Health Effects Data NCAR - Alex Guenther - GLOBEIS PNNL - Guangfeng Jiang – Chemistry Expertise

8572Error (%) 7842Bias (%) Index R^2 NWRMCNET96EC

69172Error (%) Bias (%) Index R^2 NWRMCNET96Fine Soil