Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Derivation of an Indoor Air Averaging Time Model from the Mass Balance Equation for the Case of Independent Source Inputs and Fixed Air Exchange Rates.
Author Switzer, P. ; Ott, W. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.;Stanford Univ., CA. Dept. of Statistics.
Publisher c1993
Year Published 1993
Report Number EPA/600/J-93/427;
Stock Number PB94-101789
Additional Subjects Indoor air pollution ; Mathematical models ; Time series analysis ; Air pollution sampling ; Public health ; Air quality ; Mass balance ; Exposure ; Pollution sources ; Autocorrelation ; Air infiltration ; Human activities ; Concentration(Composition) ; Forecasting ; Test chambers ; Epidemiology ; Reprints ;
Library Call Number Additional Info Location Last
NTIS  PB94-101789 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 02/27/1994
Collation 25p
Previous human activity pattern-exposure models have required improved ways for handling the serial autocorrelation of pollutant concentrations in indoor and in-transit microenvironments. Because existing models often sample concentrations from microenvironmental distributions for different averaging times, one approach for handling this autocorrelation is to develop an averaging time model for each microenvironment of importance. The paper explores a new approach for developing averaging time models: deriving the model theoretically from the mass balance equation, which describes the relationship between the time series of the input and output concentrations of any pollutant introduced into a well-mixed chamber. Beginning with the mass balance equation, the paper derives an averaging time model that predicts the mean, variance, and autocorrelation of the time series of pollutant concentrations in a well-mixed chamber for any averaging time. The paper considers the case of a discrete model in which the input source concentration is a time series of independent, piecewise-constant concentrations of equal duration while the air exchange rate remains fixed. Because the model is derived theoretically, the model is exact for the conditions specified. The goal of the research is to provide human exposure researchers with basic concepts for designing and developing useful, practical algorithms for future exposure and indoor air quality models.