Validation of FAA's emissions and dispersion modeling system (EDMS): carbon monoxide study
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2003-06-22
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Alternative Title:96th Annual Conference and Exhibition of the Air and Waste Management Association
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NTL Classification:AGR-IMPACTS-Environment;NTL-AVIATION-Aviation Energy and Environment;NTL-ENERGY AND ENVIRONMENT-Aviation Energy and Environment;NTL-ENERGY AND ENVIRONMENT-Air Quality;
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Abstract:Air quality at airports has received substantial attention in recent years. In a 2000 report
by the U.S. General Accounting Office (GAO), air quality was cited as the number two
environmental concern (after noise) by the 50 busiest airports in the United States.1
Accurate air quality models are needed to properly analyze air pollution in the vicinity of
airports, develop appropriate mitigation and policies, and to plan for increased growth.
The FAA?s Office of Environment and Energy (FAA/AEE) and the Environmental
Measurement and Modeling Division at the United States Department of Transportation?s
John A. Volpe National Transportation Systems Center (Volpe Center) are engaged in a
multi-year validation effort of FAA/AEE?s Emissions and Dispersion Modeling System
(EDMS). EDMS is the FAA required tool for assessing aviation emissions and
concentrations near airports. A systematic validation effort is needed to assess the
accuracy of the model and identify any needed refinements.
This study involved the measurement of carbon monoxide (CO) concentrations at 25
locations at a major U.S. international airport. In addition to the CO measurements, a
detailed accounting of all related airside and landside activity was also done. This
additional data included aircraft types and runways, ground support equipment activity,
auxiliary power unit activity, roadway and parking lot traffic activities, stationary
sources, and meteorological data.
The airside and landside data are currently being input to EDMS. EDMS-predicted
concentration levels will then be compared with measured concentrations, and a detailed
statistical assessment of the AERMOD dispersion algorithm within the model will be
conducted. As such the information contained in this report is interim, with more
detailed results to follow.
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