Record Display for the EPA National Library Catalog

RECORD NUMBER: 152 OF 887

OLS Field Name OLS Field Data
Main Title CTDMPLUS: A Dispersion Model for Sources Near Complex Topography. Part 2. Performance Characteristics.
Author Paumier, J. O. ; Perry, S. G. ; Burns, D. J. ;
CORP Author Computer Sciences Corp., Research Triangle Park, NC. ;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 c1992
Year Published 1992
Report Number EPA-68-01-7365; EPA/600/J-92/363;
Stock Number PB93-107084
Additional Subjects Air quality display model ; Air pollution ; Computerized simulation ; Performance evaluation ; Atmospheric diffusion ; Plumes ; Comparison ; Wind(Meteorology) ; Terrain models ; Meteorological data ; Pollution sources ; Sulfur dioxide ; Reprints ; Complex Terrain Dispersion Model ; Rough Terrain Dispersion Model ; Southeast Region(New York)
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB93-107084 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 06/08/1993
Collation 17p
Abstract
The Complex Terrain Dispersion Model (CTDMPLUS), described in Part I of the paper, was evaluated using the SO2 field study data from the Lovett Power plant in southeastern New York State. For additional perspective, CTDMPLUS estimates are also compared with those from the regulatory version of the Rough Terrain Dispersion Model. Comparing the highest 25 hourly observations with the highest 25 model predictions shows a tendency for CTDMPLUS to overpredict, on average, by about a factor of two. Similar results are found for 3-h and 24-h average predictions. Overpredictions occur mainly for stable atmospheric conditions. The meteorological conditions associated with the highest 25 observed concentrations are examined relative to the performance of CTDMPLUS. The analysis suggests that the most significant factors affecting CTDMPLUS predictions for stable conditions are the height of the plume and its relation to the dividing streamline, and in convective conditions the plume penetration, lateral plume spread, and wind direction.