Record Display for the EPA National Library Catalog

RECORD NUMBER: 19 OF 2976

OLS Field Name OLS Field Data
Main Title A sensitivity analysis on the effects of serial correlation on exposure estimates /
Author Petersen, William B. ; Irwin, J. S.
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.
Publisher US Environmental Protection Agency, Atmospheric Research and Exposure Assessment Laboratory,
Year Published 1991
Report Number EPA/600/D-91/102
Stock Number PB91-196022
Additional Subjects Exposure ; Humans ; Sulfur dioxide ; Study estimates ; Indoor air pollution ; Simulation ; Air pollution monitoring ; Statistical analysis ; Sensitivity analysis ; Microenvironments
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB91-196022 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation 8 pages : illustrations ; 29 cm
Abstract
Statistical methods of estimating concentration values for use in human exposure estimates have become increasingly more popular because of the complexities in correlating the temporal and spatial concentration variations within microenvironments with the location of people. The number of variables and their associated uncertainty make deterministic models difficult to use. Monte-Carlo simulations of exposure conducted thus far have made no provision for serial correlation effects, and therefore tend to underestimate the highest exposures and overestimate the lowest exposures. The purpose of the sensitivity study is to quantify the factors affecting serial correlation in the indoor microenvironments. Further, the authors investigate in a very preliminary way use of personal exposure monitoring data to infer the value of variables needed to estimate indoor concentrations such as the rates of air exchange, pollutant removal, and pollutant generation. The authors conclude that the use of personal exposure monitoring data to derive rate constants may be useful for order of magnitude estimates.
Notes
"EPA 600/D-91/102." Microfiche.