Record Display for the EPA National Library Catalog
RECORD NUMBER: 3 OF 3Main Title | Simulating Atmospheric Exposure Using an Innovative Meteorological Sampling Scheme. | |||||||||||
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Author | Schwede, D. B. ; Petersen, W. B. ; LeDuc, S. K. ; | |||||||||||
CORP Author | Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div. | |||||||||||
Publisher | 2000 | |||||||||||
Year Published | 2000 | |||||||||||
Report Number | EPA/600/A-00/015; | |||||||||||
Stock Number | PB2000-105755 | |||||||||||
Additional Subjects | Exposure ; Air pollution sampling ; Ecological concentration ; Computerized simulation ; Meteorological data ; Precipitation(Meteorology) ; Air pollution sources ; Area sources ; Point sources ; Risk assessment ; Mathematical models ; Particle size distribution ; ISCST3 computer model ; Sampled Chronological Input Model ; ISCST3(Industrial Source Complex-Short Term) ; Wet deposition ; Dry deposition | |||||||||||
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Collation | 6p | |||||||||||
Abstract | To analyze the impact of ISCST3 estimates of using the sampled meteorological data, we made model runs using five area sources and two point sources. The sources varied in size and particle size distribution. Each source was run with 5 years of meteorological data for four stations: Lake Charles, LA; Pittsburgh, PA; Salem, OR, and Tucson, AZ. The sites were selected to provide a diversity of climatological regimes. A polar grid of receptors along 16 evenly spaced radials at distances ranging from the edge of the source to several kilometers was used. We compared the results of various combinations of sampling rates with the results from using the full meteorological database. |