Record Display for the EPA National Library Catalog

RECORD NUMBER: 586 OF 3040

OLS Field Name OLS Field Data
Main Title CMAQ Modeling for Air Toxics at Fine Scales: A Prototype Study.
Author Majeed, M. A. ; Ching, J. ; Otte, T. ; Reynolds, L. ; Tang, R. ;
CORP Author National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div. ;Delaware State Dept. of Natural Resources and Environmental Control, Dover.
Publisher 2004
Year Published 2004
Report Number EPA/600/A-04/101 ;NERL RTP-AMD-04-073;
Stock Number PB2005-100836
Additional Subjects Air pollution monitoring ; Toxic substances ; Particulates ; Photochemistry ; Urban areas ; Emissions ; Cencentration ; Human exposure ; Models ; Risk assessment ; Accuracy ; Meteorology ; Exposure assessments ; Temporal variations ; Spatial variations ; Community Multiscale Air Quality ; Toxic air pollutants ; Chemical transport models
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB2005-100836 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 4 page document
Abstract
Toxic Air Pollutants (TAPs) exhibit considerable spatial and temporal variability across urban areas. Therefore, the ability of chemical transport models (CTMs), e.g., Community Multi-scale Air Quality (CMAQ), to reproduce the spatial and temporal variability is needed to perform accurate exposure assessments and to be able to identify and characterize toxic hot spots, which are the areas that experience high levels of air toxics (AT). These areas are not only impacted by local sources but also by the secondary production of many air toxics compounds due to photochemistry and long range transport. For example, formaldehyde and acetaldehyde have secondary components of oxidant photochemistry. The source distribution, photochemistry, dry and wet deposition of these compounds are scale dependent. Therefore, in order to capture the spatial and temporal variability of these compounds and identify air toxic hot spots, it is necessary to perform air quality simulations at fine scales.