Record Display for the EPA National Library Catalog


Main Title Performance measures and standards for air quality simulation models /
Author Hayes, S. R.
CORP Author Systems Applications, Inc., San Rafael, CA.;Environmenal Protection Agency, Research Triangle Park, NC. Office of Air Quality Planning and Standards.
Publisher U.S. Environmental Protection Agency, Office of Air Quality Planning and Standards,
Year Published 1979
Report Number EPA 450-4-79-032; EPA-68-02-2593
Stock Number PB80-152838
OCLC Number 08272322
Subjects Air--Pollution--United States--Measurement ; Air--Pollution--United States--Mathematical models ; Air--Pollution--Mathematical models ; Air--Pollution--Measurement ; Environmental impact analysis ; Air Pollution/ Air Quality ; Environmental Impact Modeling
Additional Subjects Air pollution ; Mathematical models ; Standards ; Performance ; Accuracy ; Errors ; Correlation ; Bias
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD  EPA 450-4-79-032 Headquarters Library/Washington,DC 04/11/2019
EKBD  EPA-450/4-79-032 Research Triangle Park Library/RTP, NC 02/01/2002
ELBD ARCHIVE EPA 450-4-79-032 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ELBD  EPA 450-4-79-032 AWBERC Library/Cincinnati,OH 03/28/2011
ESAD  EPA 450-4-79-032 Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB80-152838 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 1 volume (various pagings) : illustrations ; 28 cm
Currently there are no standardized guidelines for evaluating the performance of air quality simulation models. In this report a conceptual framework for objectively evaluating model performance is developed. Five attributes of a well-behaving model are defined: accuracy of the peak prediction, absence of systematic bias, lack of gross error, temporal correlation, and spatial alignment. The relative importance of these attributes is shown to depend on the issue being addressed and the pollutant being considered. Acceptability of model behavior is determined by calculating several perofrmance measures and comparing their values with specific standards. Comprehensive background material is presented on the elements of the performance evaluation problem: the types of issues to be addressed; the classes of models to be used along with the applications for which they are suited; and the categories of performance measures available for consideration. Also, specific rationales are developed on which performance standards could be based. Guidance on the interpretation of performance measure values is provided by means of an example using a large, grid-based air quality model.
"Systems Applications, Incorporated." "October 1979." Includes bibliographical references (R-1-R-2). "Contract no. 68-02-2593." "EPA 450-4-79-032."