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RECORD NUMBER: 4 OF 5

OLS Field Name OLS Field Data
Main Title Stochastic Description of Subgrid Pollutant Variability in CMAQ (Community Multiscale Air Quality).
Author Herwehe, J. A. ; Ching, J. K. S. ; Swall, J. L. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Oak Ridge, TN.
Publisher 2004
Year Published 2004
Report Number EPA/600/A-04/100 ;NERL-RTP-AMD-04-071;
Stock Number PB2005-100837
Additional Subjects Air pollution monitoring ; Air quality ; Stochastic analysis ; Statistical analysis ; Community Multiscale Air Quality (CMAQ) ; Grid cell volume ; Exploratory data analysis ; Subgrid pollutant variability
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2005-100837 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 05/03/2005
Collation one CD-ROM contains 5 page document
Abstract
Regional scale air quality (AQ) models are typically limited to relatively coarse resolutions when simulating mean pollutant concentrations for each grid cell volume. However, human exposure and risk assessment require more detailed information on the location and magnitude of hazardous air pollutant, or air toxics, concentrations, with particular interest in capturing extreme values, or 'hot spots.' Computational fluid dynamics and coupled large-eddy simulation with photochemistry techniques allow AQ simulations with much finer grid spacings, but these types of simulations are impractical for long time integrations or operational use. Thus, some procedure is needed to represent the subgrid pollutant concentration extremes in regional models without requiring concurrent fine resolution simulations.