Record Display for the EPA National Library Catalog

RECORD NUMBER: 12 OF 18

OLS Field Name OLS Field Data
Main Title Initial Application of the Adaptive Grid Air Pollution Model.
Author Odman, M. T. ; Khan, M. N. ; Srivastava, R. K. ; McRae, D. S. ;
CORP Author Georgia Inst. of Tech., Atlanta. School of Civil and Environmental Engineering. ;North Carolina State Univ. at Raleigh. Dept. of Mechanical and Aerospace Engineering.;Environmental Protection Agency, Research Triangle Park, NC. Air Pollution Prevention and Control Div.
Publisher 2001
Year Published 2001
Report Number EPA-R827028-01-0; EPA/600/A-01/096;
Stock Number PB2002-100283
Additional Subjects Air pollution ; Models ; Grid resolution ; Grid scales ; Simulation ; Meteorological data ; Ozone ; Nitrogen oxide ; Adaptive gird algorithm
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100TDYN.PDF
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB2002-100283 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 10/21/2002
Collation 12p
Abstract
The paper discusses an adaptive-grid algorithm used in air pollution models. The algorithm reduces errors related to insufficient grid resolution by automatically refining the grid scales in regions of high interest. Meanwhile the grid scales are coarsened in other parts of the domain that are of lesser interest. This ensures a near-optimal use of available computational resources at all times during the simulation. The movement of the grid is controlled by a weight function formed as a linear combination of errors in various pollutant species. The user defines which species should be included in the weight-function calculation. After a brief description of the adaptive-grid model, the paper discusses its performance in an initial application to an ozone episode that occurred in the Tennessee Valley during July 1995. A mesoscale model at 4-km resolution over the region provided the meteorological inputs. The estimated ozone levels are compared to the observations from the Aerometric Information Retrieval System (AIRS) network for verification of the model.