Record Display for the EPA National Library Catalog

RECORD NUMBER: 10 OF 10

OLS Field Name OLS Field Data
Main Title Time Series Model for Cigarette Smoking Activity Patterns: Model Validation for Carbon Monoxide and Respirable Particles in a Chamber and an Automobile.
Author Ott, W. ; Langan, L. ; Switzer, P. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;Stanford Univ., CA. Dept. of Statistics. ;Langan Products, Inc., San Francisco, CA.
Publisher c1992
Year Published 1992
Report Number EPA/600/J-93/426;
Stock Number PB94-101771
Additional Subjects Time series analysis ; Cigarette smoking ; Indoor air pollution ; Air pollution sampling ; Mathematical models ; Carbon monoxide ; Particles ; Concentration(Composition) ; Exposure ; Public health ; Experimental design ; Confined environments ; Test chambers ; Reprints ; Sequential Cigarette Exposure Model
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB94-101771 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 27p
Abstract
Human activity pattern-exposure models require accurate submodels for the exposures in microenvironments that people occupy, including those containing environmental tobacco smoke (ETS). The paper describes the Sequential Cigarette Exposure Model (SCEM), a general-purpose mathematical model developed for calculating the pollutant concentration time series in a well-mixed microenvironment of known volume when any cigarette smoking activity pattern occurs. The SCEM is based on solutions to the mass balance equation that represent smoking emissions for each cigarette as a rectangular input function over time, and the paper evaluates the performance of the SCEM in several experiments. The paper presents theoretical equations for the minimum, maximum, and mean of the pollutant concentration time series for any sequential smoking activity pattern, including a uniform smoking activity pattern input time series (that is, the 'habitual smoker'), and these equations are more general than those reported elsewhere in the literature. The model is validated for carbon monoxide (CO) and respirable particles in a controlled experiment in a well-mixed chamber with a cigarette smoking machine. (Copyright (c) 1992 Princeton Scientific Publishing Co., Inc.)