Record Display for the EPA National Library Catalog


Main Title Systematic sensitivity analysis of air quality simulation models /
Author Gelinas, Robert J.
Other Authors
Author Title of a Work
Eskridge, Robert E.
Gelinas, Robert J.
Vajk, J. Peter,
CORP Author Science Applications, Inc., Pleasanton, CA.;Environmental Sciences Research Lab., Research Triangle Park, NC.
Publisher Environmental Sciences Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency,
Year Published 1979
Report Number EPA-600/4-79-035; EPA-68-02-2942
Stock Number PB80-112162
OCLC Number 53250668
Additional Subjects Air pollution ; Mathematical models ; Sensitivity ; Errors ; Calculus of variations ; Greens function ; Fourier analysis ; Monte Carlo method ; Computer programming ; Variational methods ; Independent variables ; Sensitivity analysis
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD  EPA 600/4-79-035 c.1 Headquarters Library/Washington,DC 04/09/2014
EKBD  EPA-600/4-79-035 Research Triangle Park Library/RTP, NC 10/24/2003
ELBD ARCHIVE EPA 600/4-79-035 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ESAD  EPA 600-4-79-035 Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB80-112162 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation viii, 97 p. : ill. ; 28 cm.
This report reviews and assesses systematic sensitivity and uncertainty analysis methods for applications to air quality simulation models. The discussion of the candidate methods presents their basic variables, mathematical foundations, user motivations and preferences, computer implementation properties, and costs (including both human and computer resources). Both deterministic and sampling methods have been evaluated. Deterministic methods include the time- and user-honored method of arbitrary parameter adjustments by trial and error, variational methods, and a newly formulated Green's function method (for kinetics systems only). Sampling methods include Monte Carlo sampling of the outputs of air quality models to compute variances and a Fourier analysis method of sampling model outputs to compute expectation values of sensitivity coefficients.
Project Officer: Robert E. Eskridge. Science Applications, Inc. "May 1979." "EPA-600/4-79-035."