1 THE AERMOD MODELING SYSTEM AN OVERVIEW FOR THE 8 TH MODELING CONFERENCE SEPTEMBER 22, 2005.

Slides:



Advertisements
Similar presentations
Laboratory Modeling of Atmospheric Dispersion at the Fluid Modeling Facility of the U.S. Environmental Protection Agency by William H. Snyder MiniTech.
Advertisements

Implications of AERMOD on a Chemical Plant William B. Jones Roger P. Brower Zephyr Environmental Corporation Columbia, Maryland Presented at 100 th Annual.
AERMOD Modeling System: Status and Updates Roger W. Brode U.S. EPA/OAQPS Air Quality Modeling Group Region 4 Modelers Meeting November 14, 2012 Atlanta,
1 RLINE: A Line Source Dispersion Model for Near-Surface Releases Presented at the 12 th Annual CMAS Conference, Chapel Hill, NC October 28 – 30, 2013.
Roger W. Brode U.S. EPA/OAQPS/AQAD Air Quality Modeling Group AERMOD Update EPA Region 10 and State Meeting Seattle, Washington October 22, 2007.
1 8 th Conference on Air Quality Modeling Presentation by Ken Steinberg on behalf of the American Petroleum Institute September 23, 2005.
Introduction to SCREEN3 smokestacks image from Univ. of Waterloo Environmental Sciences Marti Blad NAU College of Engineering and Technology.
Introduction to SCREEN3 smokestacks image from Univ. of Waterloo Environmental Sciences Marti Blad.
Session 8, Unit 15 ISC-PRIME and AERMOD. ISC-PRIME General info. PRIME - Plume Rise Model Enhancements Purpose - Enhance ISCST3 by addressing ISCST3’s.
AERMOD Modeling System Photo: Ralph Turcotte presentation by: Larry L. Simmons May 23, 2006.
Meteorological Data Issues for Class II Increment Analysis.
TCEQ Air Permits Division Justin Cherry, P.E. Ahmed Omar Stephen F. Austin State University February 28, 2013.
Use of Prognostic Meteorological Model Output in Dispersion Models Eighth Modeling Conference Research Triangle Park, NC.
The Use of High Resolution Mesoscale Model Fields with the CALPUFF Dispersion Modelling System in Prince George BC Bryan McEwen Master’s project
AERMET 8 TH Modeling Conference RTP, NC September 22 – 23, 2005 Presented by: Desmond T. Bailey
1 AirWare : R elease R5.3 beta AERMOD/AERMET DDr. Kurt Fedra Environmental Software & Services GmbH A-2352 Gumpoldskirchen AUSTRIA
Introduction to the ISC Model Marti Blad NAU College of Engineering.
Session 1, Unit 1 Course Overview. Introduction Course – ENV 7335 Air Quality Modeling Instructor – Yousheng Zeng, Ph.D., P.E. Prerequisite – ENV 7331.
Deposition Velocity Issues at Y-12 Bruce A Wilson Chief Engineer, Nuclear Facility Safety Douglas Clark Analyst B&W Technical Services Y-12 May 9, 2012.
Earth System Sciences, LLC Suggested Analyses of WRAP Drilling Rig Databases Doug Blewitt, CCM 1.
Dispersion Modeling 101: ISCST3 vs. AERMOD
Harikishan Perugu, Ph.D. Heng Wei, Ph.D. PE
Understanding the USEPA’s AERMOD Modeling System for Environmental Managers Ashok Kumar Abhilash Vijayan Kanwar Siddharth Bhardwaj University of Toledo.
Session 5, Unit 9 Modeling in the Presence of Stable Layers.
Understanding the USEPA’s AERMOD Modeling System for Environmental Managers Ashok Kumar University of Toledo Introduction.
EPA’s DRAFT SIP and MODELING GUIDANCE Ian Cohen EPA Region 1 December 8, 2011.
Kelvin K. Droegemeier and Yunheng Wang Center for Analysis and Prediction of Storms and School of Meteorology University of Oklahoma 19 th Conference on.
Partnership for AiR Transportation Noise and Emission Reduction An FAA/NASA/TC-sponsored Center of Excellence MCIP2AERMOD: A Prototype Tool for Preparing.
Pesticide Spray Drift Conference September 5 and 6, 2001 AgDRIFT® Dave Esterly Environmental Focus, Inc
GIS Applications for Air Quality Management Robert Wu 吳震球 South Coast Air Quality Management District SCCAEPAApril 26, 2008.
University of North Carolina at Chapel Hill Carolina Environmental Programs Models-3 Adel Hanna Carolina Environmental Program University of North Carolina.
Cristina Gonzalez-Maddux ITEP MODEL INPUTS AND FEDERAL GUIDANCE CRISTINA GONZALEZ-MADDUX ITEP, RESEARCH SPECIALIST.
Cristina Gonzalez-Maddux ITEP
Regional Modeling Joseph Cassmassi South Coast Air Quality Management District USA.
Introduction to Modeling – Part II
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Office of Research and Development.
Proposed Revisions to the Guideline on Air Quality Models
AERMAP Briefing for the 8th Conference on Air Quality Modeling September 22, 2005 by Peter Eckhoff Environmental Scientist, US EPA.
Dispersion Modeling Challenges for Air Permitting Justin Fickas Christine Haman Jake Stewart.
An Exploration of Model Concentration Differences Between CMAQ and CAMx Brian Timin, Karen Wesson, Pat Dolwick, Norm Possiel, Sharon Phillips EPA/OAQPS.
Types of Models Marti Blad Northern Arizona University College of Engineering & Technology.
8 th Conference on Air Quality Models Model Development, Acceptance, Implementation (a)Current Approach - Acceptance criteria (Appendix W) -‘when a single.
1 An Improved Approach To Updating Regulatory Dispersion Models 8 th Modeling Conference RTP, NC September 23, 2005.
Intro to Modeling – Terms & concepts Marti Blad, Ph.D., P.E. ITEP
Ideas on Selection and Approval of Models for EPA Regulatory Use by John S. Irwin EPA Eighth Conference on Air Quality Modeling September.
Operational Requirements and the Current State of the Science - GMU PANEL 1 Mark Miller/Debbie Payton NOAA/NOS/ORR response.restoration.noaa.gov.
Stephen F. Austin State University February 27, 2014 Justin Cherry, P.E. Reece Parker TCEQ Air Permits Division.
Template Application of SCICHEM-2012 for 1-Hour NO 2 Concentration Assessments Prakash Karamchandani, Ralph Morris, Greg Yarwood, Bart Brashers, S.-Y.
Roger W. Brode & James Thurman U.S. EPA/OAQPS/AQAD Air Quality Modeling Group AERMAP Training NESCAUM Permit Modeling Committee Annual Meeting Mystic,
AERSCREEN Status and Update James Thurman, Ph.D. U.S. EPA/OAQPS/AQAD Air Quality Modeling Group 2009 NESCAUM PMC Annual Meeting Mystic, CT.
N EW Y ORK S TATE D EPARTMENT OF E NVIRONMENTAL C ONSERVATION Short Term Ambient Air Quality Standards and The Effect on Permitting Margaret Valis NESCAUM,
Roger W. Brode U.S. EPA/OAQPS/AQAD Air Quality Modeling Group AERMAP Training NESCAUM Permit Modeling Committee Annual Meeting New London, Connecticut.
EPA’s 8 th Conference on Air Quality Modeling Comments on Model Evaluation By Bob Paine, ENSR (Peer reviewed by the A&WMA AB-3 Committee)
Roger W. Brode U.S. EPA/OAQPS/AQAD Air Quality Modeling Group AERMET Training NESCAUM Permit Modeling Committee Annual Meeting New London, Connecticut.
OAQPS Update NESCAUM PMC Meeting New London, CT May 30, 2007.
AERMOD Modeling System: Status and Updates Roger Brode & James Thurman U.S. EPA/OAQPS Air Quality Modeling Group 2009 NESCAUM PMC Annual Meeting Mystic,
Regulatory background How these standards could impact the permitting process How is compliance with the standards assessed.
Roger W. Brode U.S. EPA/OAQPS/AQAD Air Quality Modeling Group AERMOD Update: Status of AERSCREEN and AERSURFACE NESCAUM Permit Modeling Committee Annual.
Summary of the Report, “Federal Research and Development Needs and Priorities for Atmospheric Transport and Diffusion Modeling” 22 September 2004 Walter.
Consequence Analysis Robert Wu South Coast Air Quality Management District.
Comparisons of CALPUFF and AERMOD for Vermont Applications Examining differing model performance for a 76 meter and 12 meter (stub) stack with emission.
OAQPS Update June 24, NESCAUM PMC Annual Meeting.
ASOS Background Observation based 1st order stations NWS/FAA measurements replaced by ASOS in mid-1990s NWS/FAA Use of METAR reporting system began July.
Meteorological Site Representativeness and AERSURFACE Issues
AERSCREEN Hands-on Course #423 Day 4 Morning
AERLINE: Air Exposure Research model for LINE sources
AERSCREEN Course #423 Day 4 Morning Air Pollution Dispersion Models:
The application of an atmospheric boundary layer to evaluate truck aerodynamics in CFD “A solution for a real-world engineering problem” Ir. Niek van.
Suggested Analyses of WRAP Drilling Rig Databases
Introduction to Modeling – Part II
Presentation transcript:

1 THE AERMOD MODELING SYSTEM AN OVERVIEW FOR THE 8 TH MODELING CONFERENCE SEPTEMBER 22, 2005

2 AERMOD THE AERMIC (AMS/EPA REGULATORY MODEL IMPROVEMENT COMMITTEE)THE AERMIC (AMS/EPA REGULATORY MODEL IMPROVEMENT COMMITTEE) – Jeff Weil, University of Colorado, Chair –Akula Venkatram, University of California at Riverside –Robert Paine, ENSR International –Steven Perry, NOAA (EPA/ORD) –Alan Cimorelli, Region III, EPA –Russell Lee, Russel F. Lee Consulting –Robert Wilson, Region X, EPA –Warren Peters, OAQPS, EPA Recognize Roger Brode, MACTECRecognize Roger Brode, MACTEC

3 AERMOD Brief regulatory historyBrief regulatory history –April 2000 AERMOD proposal (version 99351) –June th modeling conference –Sept 2003 Notice of Data Avail. (02222) –Any minute Promulgation (04300)

4AERMOD Updates since proposal to obtain AERMOD (version 02222)Updates since proposal to obtain AERMOD (version 02222) –Added PRIME –Modified complex terrain algorithms –Modified urban dispersion for low-level sources and minimum mixing heights for calculating dispersion –Added meander for all stable and unstable point source conditions Updates to obtain version 04300Updates to obtain version –Minor bug fixes

5 AERMOD MODELING SYSTEM 3 COMPONENTS3 COMPONENTS –AERMET – THE METEOROLOGICAL PREPROCESOR –AERMAP – THE TERRAIN DATA PREPROCESSOR –AERMOD – THE DISPERSION MODEL

6 AERMOD 2 SUPPORT TOOLS2 SUPPORT TOOLS –AERSURFACE – PROCESSES SURFACE CHARACTERISTICS DATA –AERSCREEN – PROVIDES A SCREENING TOOL

7 AERMOD DOCUMENTATIONDOCUMENTATION 1. THE MODEL FORMULATION DOCUMENT 2. THE 3 USERS GUIDES 3. THE MODEL EVALUATION REPORT 4. THE CONSEQUENCE ANALYSIS PLEASE READ AND USE THESE DOCUMENTS

8 AERMOD BETTER BASIC SCIENCE WRT ISCBETTER BASIC SCIENCE WRT ISC –PLANTETARY BOUNDARY LAYER CONCEPTS – CONTINUUM OF ATMOSPHERES –MORE ADVANCED BUILDING DOWNWASH ALGORITHMS –ATMOSPHERIC PROFILING FOR MORE VARIABLES –OTHER ENHANCEMENTS (SEE HANDOUT)

9 AERMOD AERMOD IS SIMILAR TO ISC IN SETUPAERMOD IS SIMILAR TO ISC IN SETUP –THE CONTROL FILE STRUCTURE IS THE SAME –VIRTUALLY ALL THE CONTROL KEYWORDS AND OPTIONS ARE THE SAME

10 AERMOD AERMOD IS DIFFERENT FROM ISCAERMOD IS DIFFERENT FROM ISC –REQUIRES SURFACE CHARACTERISTICS (ALBEDO, BOWEN RATIO, SURFACE ROUGHNESS) IN AERMET –HAS PRIME FOR BUILDING DOWNWASH AND THE BUILDING PARAMETERS ARE MORE EXTENSIVE –REQUIRES LONGER COMPUTER RUN TIMES

11 AERMOD CONSEQUENCE ANALYSIS - ratios of AERMOD predicted high concentrations to ISCST3 predicted high concentrations: flat and simple terrain point, volume and area sources. 1hour3hour24hour annual average high low Total

12 AERMOD CONSEQUENCE ANALYSIS - ratios of AERMOD predicted high concentrations to ISCST3 (and PRIME) predicted high concentrations: flat terrain point sources with significant bldg downwash ANNUAL 24 H2H 3 H2H AER/ISC3 AER/ISCP AER/ISC3 AER/ISCP AER/ISC3 AER/ISCP ave max min No cases 6 6 6

13 AERMOD CONSEQUENCE ANALYSIS - ratios of AERMOD predicted high concentrations to ISCST3 predicted high concentrations: complex terrain point sources AER/ISC3 AVERAGE0.24 MAX0.79 \ MIN0.07 no of cases196

14 AERMOD AERMOD performanceAERMOD performance –17 databases – 7 with building downwash, 10 w/o building downwash –W/o downwash – AERMOD outperformed ISCST in 9 of 10 evaluations, had the same performance in 1 evaluation –With downwash – AERMOD outperformed ISCST- PRIME in 2 evaluations, had the same performance in 4 evaluations, was outperformed in 1 evaluation * ISC-PRIME slightly outperformed ISCST3

15 AERMOD On-going activitiesOn-going activities –Parallel processing –Various minor upgrades such as running AERMOD in multiple urban areas –Beta test with deposition –Beta test with OLM, PVMRM