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RECORD NUMBER: 7 OF 7

OLS Field Name OLS Field Data
Main Title User's Guide for the Automated Inhalation Exposure Methodology (IEM).
Author O'Donnell, F. R. ; Mason, P. M. ; Pierce, J. E. ; Holton, G. A. ; Dixon, E. ;
CORP Author Oak Ridge National Lab., TN.;Industrial Environmental Research Lab.-Cincinnati, OH.;Department of Energy, Washington, DC.
Year Published 1983
Report Number W-7405-eng-26; EPA-600/2-83-029;
Stock Number PB83-187468
Additional Subjects Air pollution ; Transport properties ; Public health ; Computer programs ; Exposure ; Concentration(Composition) ; Sites ; Mathematical models ; Inhalation exposure methodology ; User manuals(Computer programs) ; Industrial Source Complex ; Long Term Dispersion Model
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB83-187468 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 115p
Abstract
The Inhalation Exposure Methodology(IEM) is a system of computer programs that estimates atmospheric transport of and population exposure to airborne pollutants. This paper discusses the capabilities of IEM and gives detailed instructions for executing the automated, interactive version of IEM that is installed on the IBM system at the National Computer Center, Research Triangle Park, North Carolina. This version uses eight execute (EXEC) programs to assist the user in preparing needed input data files, to direct the flow of input and output data, and to submit the computer programs for execution. Wind speed and direction data contained in Stability Array (STAR) meteorological data files are accessed, prepared, and input to the Industrial Source Complex, Long Term (ISCLT) Dispersion Model. This model is then employed to calculate annual-average ground-level air concentrations of pollutants at specified points. These concentrations and site-specific population data are combined by the Concentration-Exposure Program (CONEX) to provide estimates of population exposures to pollutants. All steps required to execute the interactive version of IEM are explained and demonstrated with the aid of a sample problem.