Modelling the impact of three sets of future vehicle emission standards on PM concentrations in the Lower Fraser Valley Weimin Jiang, Éric Giroux, Dazhong.

Slides:



Advertisements
Similar presentations
Development and Application of PM2.5 Interpollutant Trading Ratios to Account for PM2.5 Secondary Formation in Georgia James Boylan and Byeong-Uk Kim Georgia.
Advertisements

Comparison of Three Secondary Organic Aerosol Algorithms Implemented in CMAQ Weimin Jiang*, Éric Giroux, Dazhong Yin, and Helmut Roth National Research.
Template Development and Testing of PinG and VBS modules in CMAQ 5.01 Prakash Karamchandani, Bonyoung Koo, Greg Yarwood and Jeremiah Johnson ENVIRON International.
U.S. EPA Office of Research & Development October 30, 2013 Prakash V. Bhave, Mary K. McCabe, Valerie C. Garcia Atmospheric Modeling & Analysis Division.
Quantifying CMAQ Simulation Uncertainties of Particulate Matter in the Presence of Uncertain Emissions Rates Wenxian Zhang, Marcus Trail, Alexandra Tsimpidi,
` 1 Source Attribution of Mobile Source Air Toxics Eric M. Fujita, David E. Campbell, William P. Arnott and Barbara Zielinska Division of Atmospheric Sciences.
A Comparative Dynamic Evaluation of the AURAMS and CMAQ Air Quality Modeling Systems Steven Smyth a,b, Michael Moran c, Weimin Jiang a, Fuquan Yang a,
Regional Air Quality Modeling: Long Range Global Change Simulations.
University of North Carolina at Chapel Hill Carolina Environmental Programs Emissions and meteorological Aspects of the 2001 ICAP Simulation Adel Hanna,
Evaluation of the AIRPACT2 modeling system for the Pacific Northwest Abdullah Mahmud MS Student, CEE Washington State University.
Jenny Stocker, Christina Hood, David Carruthers, Martin Seaton, Kate Johnson, Jimmy Fung The Development and Evaluation of an Automated System for Nesting.
Simulation of European emissions impacts on particulate matter concentrations in 2010 using Models-3 Rob Lennard, Steve Griffiths and Paul Sutton (RWE.
Background Air Quality in the United States Under Current and Future Emissions Scenarios Zachariah Adelman, Meridith Fry, J. Jason West Department of Environmental.
Community Air Risk Evaluation (CARE) Program Philip Martien, Ph.D. Senior Advanced Projects Advisor Bay Area Air Quality Management District CAPCOA Conference.
A Modeling Investigation of the Climate Effects of Air Pollutants Aijun Xiu 1, Rohit Mathur 2, Adel Hanna 1, Uma Shankar 1, Frank Binkowski 1, Carlie Coats.
Modeling Aerosol Formation and Transport in the Pacific Northwest with the Community Multi-scale Air Quality (CMAQ) Modeling System Susan M. O'Neill Fire.
Life cycle-based air quality modelling for technology assessment and policy applications: the concept and technical considerations Weimin Jiang, Steven.
Models-3 Users’ Workshop Raleigh, North Carolina October 27-23, 2003 New Developments and Applications of Models-3 in Canada J. Wayne Boulton*, Mike Lepage,
COMPARISON OF LINK-BASED AND SMOKE PROCESSED MOTOR VEHICLE EMISSIONS OVER THE GREATER TORONTO AREA Junhua Zhang 1, Craig Stroud 1, Michael D. Moran 1,
National/Regional Air Quality Modeling Assessment Over China and Taiwan Using Models-3/CMAQ Modeling System Joshua S. Fu 1, Carey Jang 2, David Streets.
1 René Parra, Pedro Jiménez and José M. Baldasano Environmental Modeling Laboratory, UPC Barcelona, Spain Models-3 Conference, Chapel Hill, North Carolina,
Impact of Emissions on Intercontinental Long-Range Transport Joshua Fu, Yun-Fat Lam and Yang Gao, University of Tennessee, USA Rokjin Park, Seoul National.
The Impact of Biogenic VOC Emissions on Tropospheric Ozone Formation in the Mid-Atlantic Region Michelle L. Bell Yale University Hugh Ellis Johns Hopkins.
Partnership for AiR Transportation Noise and Emission Reduction An FAA/NASA/TC-sponsored Center of Excellence A Comparison of CMAQ Predicted Contributions.
Further Development and Application of the CMAQ Ozone and Particle Precursor Tagging Methodologies (OPTM & PPTM) 7 th Annual CMAS Conference Chapel Hill,
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,
Presentation by: Dan Goldberg Co-authors: Tim Vinciguerra, Linda Hembeck, Sam Carpenter, Tim Canty, Ross Salawitch & Russ Dickerson 13 th Annual CMAS Conference.
Projects:/WRAP RMC/309_SIP/progress_sep02/Annex_MTF_Sep20.ppt Preliminary Mobile Source Significance Test Modeling Results WRAP Regional Modeling Center.
INCORPORATING UNCERTAINTY INTO AIR QUALITY MODELING & PLANNING – A CASE STUDY FOR GEORGIA 7 th Annual CMAS Conference 6-8 th October, 2008 Antara Digar,
On the Model’s Ability to Capture Key Measures Relevant to Air Quality Policies through Analysis of Multi-Year O 3 Observations and CMAQ Simulations Daiwen.
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.
Emission Inventories and EI Data Sets Sarah Kelly, ITEP Les Benedict, St. Regis Mohawk Tribe.
Georgia Environmental Protection Division IMPACTS OF MODELING CHOICES ON RELATIVE RESPONSE FACTORS IN ATLANTA, GA Byeong-Uk Kim, Maudood Khan, Amit Marmur,
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.
Preliminary Study: Direct and Emission-Induced Effects of Global Climate Change on Regional Ozone and Fine Particulate Matter K. Manomaiphiboon 1 *, A.
Impacts of MOVES2014 On-Road Mobile Emissions on Air Quality Simulations of the Western U.S. Z. Adelman, M. Omary, D. Yang UNC – Institute for the Environment.
Why Ozone is Higher on Weekends in the South Coast Air Basin: a 20-Year Perspective Eric Fujita, William Stockwell, Robert Keislar, and Dave Campbell Division.
PM 2.5 Response to Different Emissions Reductions Scenarios Over São Paulo State, Brazil. Taciana T. de A. Albuquerque a, J. Jason West b, Rita Yuri Ynoue.
8th annual CMAS conference, Chapel Hill, October 19-21, 2009 Eurasia Institute of Earth Sciences / ITU IMPACTS OF ISTANBUL EMISSIONS ON REGIONAL AIR QUALITY:
Section 309 Mobile Source Significance Test Modeling Results WRAP Regional Modeling Center (RMC) University of California at Riverside, CE-CERT ENVIRON.
CMAS Conference 2009 Johannes Bieser, Institute for Coastal Research – GKSS Science Center CMAS Conference 2009 Enhancing SMOKE to create European emissions.
Regional Modeling of The Atmospheric Fate and Transport of Benzene and Diesel Particles with CMAQ Christian Seigneur, Betty Pun Kristen Lohman, and Shiang-Yuh.
2012 CMAS meeting Yunsoo Choi, Assistant Professor Department of Earth and Atmospheric Sciences, University of Houston NOAA Air quality forecasting and.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division C. Nolte, R. Pinder, W. Benjey, D.
Regional Air Quality Modeling Results for Elemental and Organic Carbon John Vimont, National Park Service WRAP Fire, Carbon, and Dust Workshop Sacramento,
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.
A Comparative Performance Evaluation of the AURAMS and CMAQ Air Quality Modelling Systems Steven C. Smyth, Weimin Jiang, Helmut Roth, and Fuquan Yang ICPET,
Modeling Regional Haze in Big Bend National Park with CMAQ Betty Pun, Christian Seigneur & Shiang-Yuh Wu AER, San Ramon Naresh Kumar EPRI, Palo Alto CMAQ.
William G. Benjey* Physical Scientist NOAA Air Resources Laboratory Atmospheric Sciences Modeling Division Research Triangle Park, NC Fifth Annual CMAS.
Effects of Emission Adjustments on Peak Ground-Level Ozone Concentration in Southeast Texas Jerry Lin, Thomas Ho, Hsing-wei Chu, Heng Yang, Santosh Chandru,
May 22, UNDERSTANDING THE EFFECTIVENESS OF PRECURSOR REDUCTIONS IN LOWERING 8-HOUR OZONE CONCENTRATIONS Steve Reynolds Charles Blanchard Envair 12.
Partnership for AiR Transportation Noise and Emission Reduction An FAA/NASA/TC-sponsored Center of Excellence Matthew Woody and Saravanan Arunachalam Institute.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division October 21, 2009 Evaluation of CMAQ.
Implementation Workgroup Meeting December 6, 2006 Attribution of Haze Workgroup’s Monitoring Metrics Document Status: 1)2018 Visibility Projections – Alternative.
Climate Impacts on Air Quality Response to Controls: Not Such an Uncertain Future K.J. Liao, E. Tagaris, K. Manomaiphiboon, A. G. Russell, School of Civil.
Georgia Institute of Technology SUPPORTING INTEX THROUGH INTEGRATED ANALYSIS OF SATELLITE AND SUB-ORBITAL MEASUREMENTS WITH GLOBAL AND REGIONAL 3-D MODELS:
Template Comparison of PM Source Apportionment and Sensitivity Analysis in CAMx Bonyoung Koo, Gary Wilson, Ralph Morris, Greg Yarwood ENVIRON Alan Dunker.
Emission reductions needed to meet proposed ozone standard and their effect on particulate matter Daniel Cohan and Beata Czader Department of Civil and.
Response of fine particles to the reduction of precursor emissions in Yangtze River Delta (YRD), China Juan Li 1, Joshua S. Fu 1, Yang Gao 1, Yun-Fat Lam.
Pearl River Delta (PRD) The distribution of city clusters in China Analysis and numerical simulation on a server Fan Qi 1,Yu Wei 1, Luo Xuyu 1, (1. Department.
Institute for Chemical Process and Environmental Technology Helmut Roth, Weimin Jiang, Dazhong Yin, and Éric Giroux CMAQ Nucleation Algorithms and their.
Georgia Institute of Technology Air Quality Impacts from Airport Related Emissions: Atlanta Case Study M. Talat Odman Georgia Institute of Technology School.
Institute for Chemical Process and Environmental Technology Weimin Jiang and Helmut Roth Development of a Modularised Aerosol Module in CMAQ National Research.
Jeff Vukovich, USEPA/OAQPS/AQAD Emissions Inventory and Analysis Group
Mobile Source Contributions to Ambient PM2.5 and Ozone in 2025
Impacts of hydrogen pathways vs
J. Burke1, K. Wesson2, W. Appel1, A. Vette1, R. Williams1
Steve Griffiths, Rob Lennard and Paul Sutton* (*RWE npower)
Current Research on 3-D Air Quality Modeling: wildfire!
Presentation transcript:

Modelling the impact of three sets of future vehicle emission standards on PM concentrations in the Lower Fraser Valley Weimin Jiang, Éric Giroux, Dazhong Yin, and Helmut Roth National Research Council of Canada

2004 Models-3 Conference, October 18-21, Outline  Introduction  The modelling scenarios  Impact of the emission standards on PM 2.5  Other impacts  Summary and discussions

2004 Models-3 Conference, October 18-21, Introduction  Objective: To study the impact of three sets of future vehicle emission standards on ambient PM concentrations in the Lower Fraser Valley.  The modelling system: CMAQ version 4.1 with NRC’s modifications SMOKE v1.4&2.0; MM5 v3; MCIP v2.2 NRC’s PM x post-processor (for calculating PM x,ca )  Modelling domain Nested 15- and 5-km domains focused on Lower Fraser Valley

2004 Models-3 Conference, October 18-21, Modelling domain Analysis is focused on the 5 km resolution inner domain.

2004 Models-3 Conference, October 18-21, Scenarios: BA, FBA, FNM 1.BA: the Pacific ’93 base case scenario 0:00 July 31 – 24:00 August 7, 1993; 2.FBA: the 2020 future base case scenario BA projected to 2020 without considering the three sets of emission standards to be modelled; 3.FNM: the 2020 future no mobile scenario FBA – mobile source emissions

2004 Models-3 Conference, October 18-21, ES: the emission standards scenario FBA + three sets of vehicle emission standards: 1)The light–duty Tier 2 vehicle emission standards to be implemented from 2004; 2)The heavy–duty vehicle NMHC and NO x emission standards to be implemented from 2004; 3)The heavy duty vehicle NO x and PM emissions and low sulphur on–road diesel standards to be implemented from Scenario: ES

2004 Models-3 Conference, October 18-21, Scenario emissions

2004 Models-3 Conference, October 18-21, Spatial impact: episode-average PM 2.5

2004 Models-3 Conference, October 18-21, Spatial impact: on-road mobile contributions to episode-average PM 2.5 A Mobile–Impacted Area (MIA): on–road mobile sources contribute at least 0.5  g m -3 to episode–average PM 2.5 % reduction in on–road mobile source contributions to PM 2.5 in the MIA

2004 Models-3 Conference, October 18-21, Spatial impact: maximum 1-hour PM 2.5

2004 Models-3 Conference, October 18-21, Temporal impact: domain-average PM 2.5

2004 Models-3 Conference, October 18-21, Significantly impacted location and time  The emission standards tend to cause more significant PM 2.5 reductions in places where maximum 1–hour concentrations of PM 2.5 are high or the incremental contributions of on–road mobile sources to ambient PM 2.5 are more significant.  In general, the PM 2.5 reductions due to the emission standards also tend to be more significant at the hours when ambient PM 2.5 concentrations are high.

2004 Models-3 Conference, October 18-21, Magnitude of the impact

2004 Models-3 Conference, October 18-21, Other impacts Impact of emission projections from BA to FBA; Cumulative impact of emission changes from BA to ES impact on (ANH4, ANO3, ASO4), and (AORGPA, AORGA, AORGB, AORG); Of note: 1.Interconnected impact of NO x and SO x emission reductions and NH 3 emission increases; 2.Indirect impact of NO x emission reductions on the organic PM groups via O 3 increases in some areas; 3.Higher biogenic organic PM species concentrations than anthropogenic organic species due to dominant biogenic VOC emissions.

2004 Models-3 Conference, October 18-21, Summary and discussions  The emission standards will be effective in controlling on– road mobile source contributions to ambient PM 2.5 levels;  The average impact on ambient PM 2.5 will vary noticeably with location and time: Reductions will be most evident where maximum 1–hour PM 2.5 concentrations are high or on–road mobile source contributions are significant, and when domain–average ambient PM 2.5 concentrations are high. Changes in other areas and hours are expected to be minor, and may dilute or offset the positive impact of the emission standards when averaged over the whole domain or episode;  Uncertainties in PM science and in emissions;  Regional nature of the results.

2004 Models-3 Conference, October 18-21, Acknowledgements  The Pollution Data Branch, Pacific & Yukon Region, and the Transportation Systems Branch of Environment Canada, Vancouver Regional District (GVRD): Raw emission inventory data and assistance in modeling and processing the emission data ;  GVRD/Fraser Valley Regional District (FVRD), SENES Consulting Ltd./Air Improvement Resources Inc: Emission projection factors;  US EPA and CMAS: The original Models-3/CMAQ system;  Program of Energy Research and Development (PERD), Natural Resources Canada: Funding support.

2004 Models-3 Conference, October 18-21,