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RECORD NUMBER: 8 OF 30

OLS Field Name OLS Field Data
Main Title Evaluation of the TUPOS Air Quality Dispersion Model Using Data from the Epri Kincaid Field Study.
Author Turner, D. B. ; Bender, L. W. ; Paumier, J. O. ; Boone., P. F. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;Computer Sciences Corp., Research Triangle Park, NC.
Publisher c1991
Year Published 1991
Report Number EPA/600/J-91/186;
Stock Number PB91-233494
Additional Subjects Gaussian plume models ; Atmospheric diffusion ; Air quality ; Air pollution forecasts ; Mathematical models ; Data processing ; Performance evaluation ; Study estimates ; Tracer studies ; Environmental transport ; Air pollution sampling ; Concentration(Composition) ; Comparison ; Revision ; Field tests ; Reprints ; TUPOS model ; Phase turbulence profile sigmas ; Kincaid power plant ; Central Region(Illinois) ; Electric Power Research Institute ; MPTER model
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB91-233494 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 11/26/1991
Collation 17p
Abstract
Data from SF6 tracer studies conducted at the Kincaid power plant in central Illinois by the Electric Power Research Institute in 1980 and 1981 have been used to evaluate the TUPOS air quality dispersion model. Most of the 96 hours' data are from periods representing daytime convective conditions when the impact of an elevated buoyant source would be expected to be greatest at ground level. Since on the order of 200 tracer measurement stations on four to six arcs were in operation during each hour of the study, a reasonable estimate of the maximum concentration along each arc could be made. The maximum concentration on each arc was the principal value used for purposes of comparing tracer measurements with model estimates. In addition to making comparisons between tracer and TUPOS estimates, comparisons were also made using the model MPTER. Although the means of residuals from the hourly maxima are not statistically different at the 95% confidence level for these two models, the TUPOS shows subjective improvement. The performance results were used to suggest further changes to the TUPOS model. These consisted primarily of determining the fluctuation statistics and wind speed and direction for a height midway between effective plume height and ground-level rather than at plume height. These changes were implemented and shown to provide improvement when tested on the dependent data set used to evaluate the original model. The mean of the residuals (model concentration minus tracer concentration) of 7.9 ppt (parts per trillion) for the revised model was found using a t test to be significantly different at the 95% confidence level from the mean of residuals for the original model of -13.1 ppt. This was from using all data for all arcs for all hours (580 data pairs). This shifts from underestimation of the concentration for the original model to slight overestimation with the revised model. Although the significance of the results for the revised model are not as great as they would be if an independent data set were used, these results are still useful in indicating the proper direction of changes to be made that can improve modeling.