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RECORD NUMBER: 20 OF 57

OLS Field Name OLS Field Data
Main Title Comparison of Spatial Patterns of Pollutant Distribution with CMAQ Predictions.
Author Phillips, S. B. ; Finkelstein, P. L. ;
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 2004
Year Published 2004
Report Number EPA/600/A-04/090; NERL-RTP-AMD-04-061;
Stock Number PB2004-107463
Additional Subjects Pollutants ; Comparisons ; Sulfate ; Nitrate ; Ozone ; Ammonium ; Aerosols ; Air pollution ; Spatial patterns ; Pollutant distribution ; CMAQ computer code
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100R6W1.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2004-107463 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 10/29/2004
Collation 6p
Abstract
One indication of model performance is the comparison of spatial patterns of pollutants, either as concentration or deposition, predicted by the model with spatial patterns derived from measurements. If the spatial patterns produced by the model are similar to the observations in shape, location, and magnitude it can add to our confidence that the model is performing well. However, deriving spatial patterns from measured pollutant data is not always trivial. Modeling networks are spatially sparse, and frequently biased toward certain types of land use. Likewise, frequently there is measurement bias between monitoring networks. This study will compare the observed spatial patterns with those predicted by EPA's Community Multiscale Air Quality (CMAQ) model, noting any similarities and differences. We will consider sulfate (SO(sub 4)), nitrate (NO(sub 3)), ammonium aerosols (NH(sub 4)), and ozone (O(sub 3)).