Record Display for the EPA National Library Catalog

RECORD NUMBER: 6 OF 6

OLS Field Name OLS Field Data
Main Title Regional Air Quality and Acid Deposition Modeling and the Role for Visualization.
Author Novak, J. H. ; Dennis, R. L. ;
CORP Author National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher Nov 91
Year Published 1991
Report Number EPA-R-814854; EPA/600/D-91/274;
Stock Number PB92-124247
Additional Subjects Air pollution ; Air quality ; Deposition ; Mathematical models ; Atmospheric models ; Air pollution control ; US EPA ; Regional analysis ; Physical properties ; Chemical properties ; Pollution sources ; Spatial distribution ; Geographic Information System ; Substitutes ; Acid rain ; Meteorological data ; Regional Acid Deposition Model ; Regional Oxidant Model ; Urban Airshed Model ; Regional Lagrangian Model of Air Pollution
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB92-124247 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 02/24/1992
Collation 11p
Abstract
The U.S. Environmental Protection Agency (EPA) uses air quality and deposition models to advance the scientific understanding of basic physical and chemical processes related to air pollution, and to assess the effectiveness of alternative emissions control strategies. The paper provides a brief technical description of several regional scale atmospheric models, their current use within EPA, and related data analysis issues. Spatial analysis is a key component in the evaluation and interpretation of the model predictions. Thus, the authors highlight several types of analysis enhancements focusing on those related to issues of spatial scale, user access to models and analysis tools, and consolidation of air quality modeling and graphical analysis capabilities. They discuss their initial experience with a Geographical Information System (GIS) pilot project that generated the initial concepts for the design of an integrated modeling and analysis environment. And finally, they present current plans to evolve this modeling/visualization approach to a distributed, heterogeneous computing environment which enables any research scientist or policy analyst to use high performance visualization techniques from his/her desktop.