Record Display for the EPA National Library Catalog

RECORD NUMBER: 383 OF 869

Main Title Investigation of Photochemical Modeling of Point Source Pollutants with Eulerian Grid and Lagrangian Plume Approaches.
Author Godowitch, J. M. ;
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 1995
Year Published 1995
Report Number EPA/600/A-95/128;
Stock Number PB96-116892
Additional Subjects Air pollution ; Atmospheric models ; Photochemical reactions ; Computerized simulation ; Point sources ; Grids(Coordinates) ; Plumes ; Environmental transport ; Mathematical models ; Nitrogen oxides ; Atmospheric composition ; Atmospheric diffusion ; UAM(Urban Airshed Model) ; Eulerian grid model ; Lagrangian plume model
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100VF1F.PDF
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NTIS  PB96-116892 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 6p
Abstract
In this paper, results of Eulerian grid and Lagrangian photochemical model simulations of emmissions from a major elevated point source are presented. A series of simulations with grid sizes varying from 30 km to 2km were performed with the Urban Airshed Model, a photochemical grid model, in order to examine the capability of the model to resolve plume features and to emulate the chemical evolution of the pollutant plume. Differences in pollutant concentrations with emphasis on O3 for various grid sizes are highlighted. The grid model simulation results are compared to O3 concentrations generated from a Lagrangian reactive plume model (RPM). Both models were applied to treat the transport, dispersion, and photochemical processes impacting a pollutant plume. In order to promote the comparison and interpretation of the model results, meteorological inputs for the Lagrangian plume model were provided through an interface program using the input data sets employed to drive the grid model.