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RECORD NUMBER: 47 OF 130

OLS Field Name OLS Field Data
Main Title Evaluation of Alternative Gaussian Plume Dispersion Modeling Techniques in Estimating Short-Term Sulfur Dioxide Concentrations.
Author Pierce, T. E. ;
CORP Author Environmental Sciences Research Lab., Research Triangle Park, NC.
Year Published 1984
Report Number EPA/600/3-84/079;
Stock Number PB84-223627
Additional Subjects Sulfur dioxide ; Mathematical models ; Air pollution ; Concentration(Composition) ; Industrial wastes ; Combustion products ; Sites ; Electric power plants ; Plumes ; Gaussian plume models ; Atmospheric dispersion ; Air pollution sampling ; Coal fired power plants ; Johnsonville(Tennessee)
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NTIS  PB84-223627 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/23/1988
Collation 151p
Abstract
A routinely applied atmospheric dispersion model was modified to evaluate alternative modeling techniques which allowed for more detailed source data, onsite meteorological data, and several dispersion methodologies. These were evaluated with hourly SO2 concentrations measured at fixed receptors around coal-fired power plants near Paradise, Kentucky, during 1976 and near Johnsonville, Tennessee, during 1977. A significant finding of the evaluation was that the more sophisticated models did not appreciably 'outperform' the routinely applied models. The models using airport meteorological data performed as well as the models using onsite wind data. With the Pasquill-Gifford and Briggs dispersion schemes, small differences in model performance were observed. More substantial differences occurred with models using onsite turbulence measurements. The model using Pasquill's recommendations tended to overpredict peak concentrations. The models based on Draxler's and Cramer's approaches using onsite turbulence yielded mixed results perhaps in part because the lateral standard deviation of wind direction available was the one-hour average of five-minute values (rather than a one-hour value) thus eliminating the longer period fluctuations that are of importance in estimating one-hour concentrations in addition to the shorter period fluctuations. Additional research is recommended to improve the application of onsite turbulence measurements and to provide more accurate estimates of plume trajectories for input to atmospheric dispersion models.