IUAPPA Sao Paulo1 Air Quality Modeling at Santiago, Chile: Impact of Transportation Sources Héctor Jorquera Chemical and Bioprocess Engineering Catholic.

Slides:



Advertisements
Similar presentations
Some recent studies using Models-3 Ian Rodgers Presentation to APRIL meeting London 4 th March 2003.
Advertisements

Impacts of Emission from Power Plants on the Ambient Ozone Concentration in Southern Taiwan Yee-Lin Wu and Der Ming Tsai Department of Environmental Engineering.
David J. Sailor1 and Hongli Fan2 1. Portland State University
A numerical simulation of urban and regional meteorology and assessment of its impact on pollution transport A. Starchenko Tomsk State University.
Georgia Chapter of the Air & Waste Management Association Annual Conference: Improved Air Quality Modeling for Predicting the Impacts of Controlled Forest.
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.
Title EMEP Unified model Importance of observations for model evaluation Svetlana Tsyro MSC-W / EMEP TFMM workshop, Lillestrøm, 19 October 2010.
DEA - Università degli Studi di Brescia Multi-objective optimization to select effective PM10 control policies in Northern Italy C. Carnevale, E. Pisoni,
Christian Seigneur AER San Ramon, CA
ENAC-SSIE Laboratoire de Pollution de l'Air Bogotá air quality Colombia, 2003.
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)
CENRAP Modeling Workgroup Mational RPO Modeling Meeting May 25-26, Denver CO Calvin Ku Missouri DNR May 25, 2004.
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.
Time: Nov 3, 1998 South Coast Air Basin CAMx model 210 x 120 km domain 1 hour time step 2 x 2 km grid cells mid noon Concentration (  g m -3 )
TNO experience M. Schaap, R. Timmermans, H. Denier van der Gon, H. Eskes, D. Swart, P. Builtjes On the estimation of emissions from earth observation data.
Time: Nov 3, 1998 South Coast Air Basin CAMx model 210 x 120 km domain 1 hour time step 2 x 2 km grid cells mid noon Concentration (ppb) benzene.
Mercury Source Attribution at Global, Regional and Local Scales Christian Seigneur, Krish Vijayaraghavan, Kristen Lohman, and Prakash Karamchandani AER.
fluidyn – PANAIR Fluidyn-PANAIR
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.
Template CAMx Ancillary Input Development Chris Emery ENVIRON International Corporation, Novato CA November 14, 2012.
Impact of a renewable biomass energy power plant in urban landscape with complex terrain in Central Italy: modelling assessment and suggestions for monitoring.
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.
November 15, 2006CRPAQS TC Meeting1 Photochemical Modeling Investigation of an Extended Winter PM Episode in Central California 1. Air Resources Board,
Development and Application of a State-of-the-Science Plume-in-Grid Model CMAQ-APT Prakash Karamchandani, Christian Seigneur, Krish Vijayaraghavan and.
EFFICIENT CHARACTERIZATION OF UNCERTAINTY IN CONTROL STRATEGY IMPACT PREDICTIONS EFFICIENT CHARACTERIZATION OF UNCERTAINTY IN CONTROL STRATEGY IMPACT PREDICTIONS.
TEMIS user workshop, Frascati, 8-9 October 2007 Long range transport of air pollution service: Part 1: Trajectories Bart Dils, M. De Mazière, J. van Geffen,
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 GURME Workshop October 2003 Emission Inventories for Santiago, Chile Héctor Jorquera, Jaime Escobar, Julio Castro Departamento de Ingeniería Química.
Determining Alternative Futures - Urban Development Effects on Air Quality Julide Kahyaoglu-Koracin and Darko Koracin May 2007 Zagreb, Croatia.
Preliminary Study: Direct and Emission-Induced Effects of Global Climate Change on Regional Ozone and Fine Particulate Matter K. Manomaiphiboon 1 *, A.
Air Quality Forecasting in China using a regional model Bas Mijling Ronald van der A Henk Eskes Hennie Kelder.
Evidence for an increase in the photochemical lifetime of ozone in the eastern United States Presented at the 14 th CMAS Meeting Wednesday October 7 th,
Introduction to Modeling – Part II Marti Blad Northern Arizona University College of Engineering & Technology Dept. of Civil & Environmental Engineering.
Application of Models-3/CMAQ to Phoenix Airshed Sang-Mi Lee and Harindra J. S. Fernando Environmental Fluid Dynamics Program Arizona State University.
Development of air quality models in Chile First Air Quality Workshop for the GURME Latin America project, Santiago de Chile, 2003 by Rainer Schmitz Department.
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.
Introduction to Modeling – Part II
Role of Air Quality Modeling in the RIA Norm Possiel & Pat Dolwick Air Quality Modeling Group EPA/OAQPS.
TEMIS user workshop, Frascati, 8-9 October 2007 TEMIS – VITO activities Felix Deutsch Koen De Ridder Jean Vankerkom VITO – Flemish Institute for Technological.
TEMPLATE DESIGN © A high-order accurate and monotonic advection scheme is used as a local interpolator to redistribute.
Lagrangian particle models are three-dimensional models for the simulation of airborne pollutant dispersion, able to account for flow and turbulence space-time.
Types of Models Marti Blad Northern Arizona University College of Engineering & Technology.
Georgia Institute of Technology SAMI Aerosol Modeling: Performance Evaluation & Future Year Simulations Talat Odman Georgia Institute of Technology SAMI.
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.
Intro to Modeling – Terms & concepts Marti Blad, Ph.D., P.E. ITEP
MRPO Technical Approach “Nearer” Term Overview For: Emissions Modeling Meteorological Modeling Photochemical Modeling & Domain Model Performance Evaluation.
Center for Environmental Research and Technology/Air Quality Modeling University of California at Riverside CCOS 2000 Model Intercomparison: Summary of.
1 DUST modeling AirWare AQMS: urban/industrial and regional air quality modeling and management: DUST modeling DDr. Kurt Fedra Environmental Software and.
The application of Models-3 in national policy Samantha Baker Air and Environment Quality Division, Defra.
7. Air Quality Modeling Laboratory: individual processes Field: system observations Numerical Models: Enable description of complex, interacting, often.
Assessment and Calculations of Plume Rise for Forest Fires during Texas Air Quality Study period. Uarporn Nopmongcol Dept. of Chemical Engineering The.
Norwegian Meteorological Institute
Mobile Source Contributions to Ambient PM2.5 and Ozone in 2025
Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.
Modeling of Air Pollutants Dispersion from
AQ Modeling Fundamentals: photochemistry
CRGAQS: CAMx 2018 Results Presentation to the
Some thoughts on future air quality models from a WRF-Chem modeler
Simulation of Ozone and PM in Southern Taiwan
Uncertainties influencing dynamic evaluation of ozone trends
Introduction to Modeling – Part II
Steve Griffiths, Rob Lennard and Paul Sutton* (*RWE npower)
Improving an Air Quality Decision Support System through the Integration of Satellite Data with Ground-Based, Modeled, and Emissions Data Demonstration.
Joanna Struzewska Warsaw University of Technology
U.S. Perspective on Particulate Matter and Ozone
M. Schaap + TNO and RIVM teams
C. Carnevale1, G. Finzi1, E. Pisoni1, P. Thunis2, M. Volta1
Presentation transcript:

IUAPPA Sao Paulo1 Air Quality Modeling at Santiago, Chile: Impact of Transportation Sources Héctor Jorquera Chemical and Bioprocess Engineering Catholic University of Chile

IUAPPA Sao Paulo2 Acknowledgements n Funding from National Commision for the Environment (CONAMA). n CONAMA staff: M. Fernández, P. Oyola, J. García n PUC Staff and students: L. Cifuentes, J. Castro, R. Bown, J. Weissbluth, C. Gacitúa, A. Mitnik, and many others... n CENMA Staff: J.Escobar, A. Cabello n Swedish staff: L. Gidhagen, P. Ivarsson

IUAPPA Sao Paulo3 Santiago then… and in winter 1991

IUAPPA Sao Paulo4 Modelling framework: CAMx (available at n Simulate atmospheric processes: –wind advection –turbulent dispersion (mostly vertical) –chemical reactions (gas and PM phase) –PM generation and decay –deposition processes (dry and wet) n Dynamic emissions: mobile sources stationary sources area sources This is the major source of uncertainty in the model output results!

IUAPPA Sao Paulo5 Emissions for Santiago (2000) PollutantEmission (ton/yr)% from Transportation CO 303, NOx 81, SOx 9, COV 93, PM10 5,800 70

IUAPPA Sao Paulo6 Modelling Domain Grid settings: 60 E-W, 40 N-S 2 x 2 km cells 8 vertical levels, up to 3 km a.g.l. Origin: 270 km (E), 6250 km (N) Grid settings: 60 E-W, 40 N-S 2 x 2 km cells 8 vertical levels, up to 3 km a.g.l. Origin: 270 km (E), 6250 km (N)

IUAPPA Sao Paulo7 Complex Topography:

IUAPPA Sao Paulo8 Emissions at 8 am: CO

IUAPPA Sao Paulo9 Emissions at 8 am: NOx

IUAPPA Sao Paulo10 Model Evaluation: only within city boundaries...

IUAPPA Sao Paulo11 Case study: episode of May 1998

IUAPPA Sao Paulo12 CO impacts, F, May 1998

IUAPPA Sao Paulo13 CO impacts, M, May 1998

IUAPPA Sao Paulo14 CO impacts, N, May 1998

IUAPPA Sao Paulo15 NOx impacts, F, May 1998

IUAPPA Sao Paulo16 NOx impacts, L, May 1998

IUAPPA Sao Paulo17 NOx impacts, O, May 1998

IUAPPA Sao Paulo18 O3 impacts, B, May 1998

IUAPPA Sao Paulo19 O3 impacts, M, May 1998

IUAPPA Sao Paulo20 Conclusions n A model for AQ impacts is operative for the greater Santiago metro area n Mobile source impacts properly simulated by the model (CO, NOx) n Features of the photochemistry are well described by the model simulations n Eastern side of Santiago is facing the highest photochemical impacts n EDB for mobile sources seems fine, but needs further refinements

IUAPPA Sao Paulo21 Future work n Include PM 2.5 in CAMx simulations n Running another model with the same basic inputs (emissions+meteorology). n Improve the emission database with: –biogenic emissions –improved estimates of VOC emissions from stationary sources –better estimates of activity levels (time, space) for transportation sources n Produce a base case, ‘synthetic year’