Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Improvements in Indirect Exposure Assessment Modeling: A Model for Estimating Air Concentrations and Deposition.
Author Schwede, D. B. ; Scire., J. S. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;Sigma Research Corp., Concord, MA. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.
Publisher 1994
Year Published 1994
Report Number EPA/600/A-94/060;
Stock Number PB94-160413
Additional Subjects Air pollution ; Deposition ; Atmospheric models ; Combustion products ; Mathematical models ; Emission factors ; Plumes ; Pollution transport ; Diffusion ; Algorithms ; Incinerators ; ISC-COMPDEP model
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
NTIS  PB94-160413 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 09/01/1994
Collation 13p
The paper describes the ISC-COMPDEP model and compares it with its predecessor, the COMPDEP model. COMPDEP was developed by the U.S. Environmental Protection Agency (EPA) to fulfill the need for a model to estimate concentrations and dry and wet deposition for receptors at all terrain heights for use in indirect exposure assessments. It was developed by combining the methodologies in the Industrial Source Complex (ISC) and COMPLEX I models with algorithms for modeling dry and wet deposition. A recent review of COMPDEP by the U.S. EPA identified several algorithms in the model as potential areas for improvement. The ISC-COMPDEP model was developed to address these weaknesses. Improvements were made in the following algorithms: dry deposition of particles, building wake effects, deposition in complex terrain, and modeling of area sources. A brief discussion of the major algorithms and a description of the sensitivity of concentration and deposition estimates to changes in the model algorithms are presented in the paper.