Application of Models-3/CMAQ to Phoenix Airshed Sang-Mi Lee and Harindra J. S. Fernando Environmental Fluid Dynamics Program Arizona State University.

Slides:



Advertisements
Similar presentations
A numerical simulation of urban and regional meteorology and assessment of its impact on pollution transport A. Starchenko Tomsk State University.
Advertisements

1 AirWare : AirWare : C OMPREHENSIVE A IR QUALITY M ODEL WITH E X TENSIONS VERSION 4.30, PBM DDr. Kurt Fedra Environmental Software & Services GmbH A-2352.
The Use of High Resolution Mesoscale Model Fields with the CALPUFF Dispersion Modelling System in Prince George BC Bryan McEwen Master’s project
Title EMEP Unified model Importance of observations for model evaluation Svetlana Tsyro MSC-W / EMEP TFMM workshop, Lillestrøm, 19 October 2010.
THE PUMA PROJECT AND SUBSEQUENT AIR QUALITY MODELLING AT THE UNIVERSITY OF BIRMINGHAM ROY M. HARRISON AND XIAOMING CAI SCHOOL OF GEOGRAPHY, EARTH AND ENVIRONMENTAL.
Simulations of ozone over Israel, West Bank, and Jordan E. Weinroth, M. Luria, A. Ben-Nun, C. Emery, J. Kaplan, M. Peleg and Y. Mahrer Seagram Center for.
Atmospheric modelling activities inside the Danish AMAP program Jesper H. Christensen NERI-ATMI, Frederiksborgvej Roskilde.
Evaluation of the AIRPACT2 modeling system for the Pacific Northwest Abdullah Mahmud MS Student, CEE Washington State University.
The Control Method of Photochemical Smog Lee Jin-Young Civil & Environmental System Engineering 2006 년 6 월 12 일.
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.
CMAQ (Community Multiscale Air Quality) pollutant Concentration change horizontal advection vertical advection horizontal dispersion vertical diffusion.
Application of synoptic typing to an investigation of nocturnal ozone concentration at a maritime location, New Zealand B. A. Khan 1, C.R. de Freitas 1.
October 17, CMAS 2006 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.
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.
Ams/awma_ PROCESS-BASED ANALYSIS OF THE ROLE OF THE GULF BREEZE IN SIMULATING OZONE CONCENTRATIONS ALONG THE EASTERN GULF COAST Sharon G. Douglas.
Impact of Emissions on Intercontinental Long-Range Transport Joshua Fu, Yun-Fat Lam and Yang Gao, University of Tennessee, USA Rokjin Park, Seoul National.
Clinton MacDonald 1, Kenneth Craig 1, Jennifer DeWinter 1, Adam Pasch 1, Brigette Tollstrup 2, and Aleta Kennard 2 1 Sonoma Technology, Inc., Petaluma,
Stephan F.J. De Wekker S. Aulenbach, B. Sacks, D. Schimel, B. Stephens, National Center for Atmospheric Research, Boulder CO; T. Vukicevic,
The Impact of Biogenic VOC Emissions on Tropospheric Ozone Formation in the Mid-Atlantic Region Michelle L. Bell Yale University Hugh Ellis Johns Hopkins.
1 Using Hemispheric-CMAQ to Provide Initial and Boundary Conditions for Regional Modeling Joshua S. Fu 1, Xinyi Dong 1, Kan Huang 1, and Carey Jang 2 1.
Ozone MPE, TAF Meeting, July 30, 2008 Review of Ozone Performance in WRAP Modeling and Relevance to Future Regional Ozone Planning Gail Tonnesen, Zion.
1 Neil Wheeler, Kenneth Craig, and Clinton MacDonald Sonoma Technology, Inc. Petaluma, California Presented at the Sixth Annual Community Modeling and.
Preliminary Study: Direct and Emission-Induced Effects of Global Climate Change on Regional Ozone and Fine Particulate Matter K. Manomaiphiboon 1 *, A.
4. Atmospheric chemical transport models 4.1 Introduction 4.2 Box model 4.3 Three dimensional atmospheric chemical transport model.
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.
CMAQ APPLICATION TO OZONE POLLUTION IN THE PEARL RIVER DELTA OF CHINA Wei Zhou 1,2,Yuanghang Zhang 1,Xuesong Wang 1,Daniel Cohan 2 1.College of Environmental.
Sensitivity of Air Quality Model Predictions to Various Parameterizations of Vertical Eddy Diffusivity Zhiwei Han and Meigen Zhang Institute of Atmospheric.
METEOROGICAL AND CHEMICAL PREDICTION WEB BASED SYSTEM USING RAMS AND CAMx NUMERICAL MODELS By Maria Victoria Toro G. PhD Nestor Waldyd Alvarez V. E.E.
Regional Modeling Joseph Cassmassi South Coast Air Quality Management District USA.
Introduction to Modeling – Part II
Deguillaume L., Beekmann M., Menut L., Derognat C.
Goal: “What are the sources and physical mechanisms that contribute to high ozone concentrations aloft that have been observed in Central and Southern.
August 1999PM Data Analysis Workbook: Characterizing PM23 Spatial Patterns Urban spatial patterns: explore PM concentrations in urban settings. Urban/Rural.
On the interplay between upper and ground levels dynamics and chemistry in determining the surface aerosol budget Gabriele Curci 1, L. Ferrero 2, P. Tuccella.
Introduction, Land cover data, Simulations and Results.
Urban Heat Island and Pollution
Impact of high resolution modeling on ozone predictions in the Cascadia region Ying Xie and Brian Lamb Laboratory for Atmospheric Research Department of.
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.
1 Impact on Ozone Prediction at a Fine Grid Resolution: An Examination of Nudging Analysis and PBL Schemes in Meteorological Model Yunhee Kim, Joshua S.
Model evolution of a START08 observed tropospheric intrusion Dalon Stone, Kenneth Bowman, Cameron Homeyer - Texas A&M Laura Pan, Simone Tilmes, Doug Kinnison.
1. How is model predicted O3 sensitive to day type emission variability and morning Planetary Boundary Layer rise? Hypothesis 2.
Seasonal Modeling of the Export of Pollutants from North America using the Multiscale Air Quality Simulation Platform (MAQSIP) Adel Hanna, 1 Rohit Mathur,
Impact of the changes of prescribed fire emissions on regional air quality from 2002 to 2050 in the southeastern United States Tao Zeng 1,3, Yuhang Wang.
Georgia Institute of Technology SUPPORTING INTEX THROUGH INTEGRATED ANALYSIS OF SATELLITE AND SUB-ORBITAL MEASUREMENTS WITH GLOBAL AND REGIONAL 3-D MODELS:
June 29, 2011NASA/ARB Data Analyses Discussion1 What can We Learn from ARCTAS-CARB Data? Modeling and Meteorology Branch Planning and Technical Support.
Intro to Modeling – Terms & concepts Marti Blad, Ph.D., P.E. ITEP
Impacts of Meteorological Variations on RRFs (Relative Response Factors) in the Demonstration of Attainment of the National Ambient Air Quality for 8-hr.
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.
Impacts of Meteorological Conditions Modified by Urban Expansion on Surface Ozone over Yangtz River Delta and Pearl River Delta region, China Xuemei Wang,
Sensitivity of PM 2.5 Species to Emissions in the Southeast Sun-Kyoung Park and Armistead G. Russell Georgia Institute of Technology Sensitivity of PM.
ORIGIN OF BACKGROUND OZONE IN SURFACE AIR OVER THE UNITED STATES: CONTRIBUTION TO POLLUTION EPISODES Daniel J. Jacob and Arlene M. Fiore Atmospheric Chemistry.
February 11, 2016 Nitrogen Oxides (NO x ) Emissions from U.S. Shale Plays using an Integrated Top-down and Bottom-up Approach Speaker: Andy Chang, PhD.
Summary of the Report, “Federal Research and Development Needs and Priorities for Atmospheric Transport and Diffusion Modeling” 22 September 2004 Walter.
7. Air Quality Modeling Laboratory: individual processes Field: system observations Numerical Models: Enable description of complex, interacting, often.
SMOKE-MOVES Processing
8th IWAQFR, Toronto, Ontario. January 10–12, 2017
Evaluations of CMAQ Simulations in southern Taiwan
Modeling of regional-scale PCB transport at the Bayonne Peninsula
A New Method for Evaluating Regional Air Quality Forecasts
16th Annual CMAS Conference
Modeling of regional-scale PCB transport at the Bayonne Peninsula
Characteristics of Urban Ozone Formation During CAREBEIJING-2007 Experiment Zhen Liu 04/21/09.
Photochemical Model Performance and Consistency
Models of atmospheric chemistry
Diurnal Variation of Nitrogen Dioxide
MODELING AT NEIGHBORHOOD SCALE Sylvain Dupont and Jason Ching
Introduction to Modeling – Part II
Improving Regional PM2.5 Modeling along Utah’s Wasatch Front
Presentation transcript:

Application of Models-3/CMAQ to Phoenix Airshed Sang-Mi Lee and Harindra J. S. Fernando Environmental Fluid Dynamics Program Arizona State University

Outline  Study Area – Phoenix Basin  MM5 Simulation  Models-3/CMAQ Result  Process Analysis of CMAQ

Topography of Phoenix and its Surroundings

v Non-Attainment Area of the NAAQS for O 3, PM 10, and CO v PAFEX (Phoenix Air Flow Experiment) PAFEX-1 (January 14 - February 1, 1998) PAFEX-2 (July 1 - September 15, 1998) Spatial and Vertical distribution of Pollutants Mean & turbulent measurements of meteorology v 1998 Phoenix Ozone Study (June , 2001) Aircraft measurements for VOC & Oxides v 2001 Phoenix Ozone Study (June , 2001) 3-D Spatial & Temporal distribution of Ozone & Oxides As well as meteorology Air Quality in Phoenix

 Study Case  0400 LST July 22 – 0000 LST July 24, 1996  Spatial Dimension  2 km horizontal grid spacing  31 vertical layers  Meteorological data  MM5 + FDDA  IV & BV : NCEP Eta Analysis 40 km output  Emission data  Prepared with EPS2 for UAM  From Arizona Department of Environmental Quality  Initial value & Boundary value Near surface concentration : routine monitoring data Upper level :Ozone & VOC aircraft measurement in 1998 Design of Numerical Experiments

Ground Level Wind Field 0400 LST July 22 nd – 2300 LST July 23 rd

Validation of MM5 output

Bowen Ratio ~ 4

Correlation between MM5 vs Observations Temperature u-component v-component (r=0.9)(r=0.4)(r=0.4)

Ground Level Ozone Concentration 0400 LST July 22 nd – 2300 LST July 23 rd

Downtown Phoenix Mountain Area Ground Level Ozone Concentration

Emission Inventory

Emission vs. concentration Downtown Eastern Valley

Local Time Temporal & Vertical Variation of Ozone

Prediction vs. Observation: O 3

Prediction vs. Observation: CO

Observation: PBL growth & Ozone PBL Growth Ozone June 25 th, 2001

1-D Column Application & Budget of each Process

Downtown Site (Super Site) Downstream Site (Blue Point Bridge)

Downtown vs Downstream

Middle Level Ozone Maximum Ground Ozone High Ozone Reservoir Chemistry -- Vertical Mixing ++ Deposition - Chemistry + Vertical Mixing - Chemistry 0/+ Vertical Mixing + Deposition - Horizontal Transport + Schematics for Daytime Ozone Physics

Ozone Free Air Mass Ozone Reservoir Chemistry - - Intermittent Turbulence ++ Horizontal Transport + (Gust front, K-H instability +) Chemistry -/0 Vertical Intermittent Mixing - Schematics for Nighttime Ozone Physics

Summary  Meteorology in Phoenix area was reasonably reproduced by MM5. The correlation coefficients between MM5 and observations at surface layer were as high as 0.9 for temperature and 0.4 for both u- and v- wind components.  Downstream region has higher ozone concentration than downtown region due to advection by local circulation as well as active NO x chemistry  In Phoenix metropolitan area, the increase of ground level ozone concentration was contributed by vertical dispersion rather than photochemical construction  In downstream of the urban area, ground level ozone was increased by chemical production as well as vertical dispersion