Record Display for the EPA National Library Catalog

RECORD NUMBER: 12 OF 13

OLS Field Name OLS Field Data
Main Title Statistical questions relating to the validation of air quality simulation models /
Author Brier, Glenn W.
CORP Author Brier (Glenn W.), Fort Collins, Colo.;National Environmental Research Center, Research Triangle Park, N.C. Meteorology Lab.
Publisher U.S. Environmental Protection Agency, National Environmental Research Center ; National Technical Information Service,
Year Published 1975
Report Number EPA 650/4-75-010; EPA-ROAP-21ADO
Stock Number PB-241 866
OCLC Number 10768120
Subjects Air quality--United States--Statistical methods. ; Air quality management--United States. ; Air--Pollution.
Additional Subjects Air pollution ; Statistical analysis ; Sampling ; Normal density functions ; Analysis of variance ; Regression analysis ; Mathematical prediction ; Atmospheric motions ; Atmospheric models
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=20015USU.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EJAD  EPA 650/4-75-010 Region 3 Library/Philadelphia, PA 05/24/1996
EJBD ARCHIVE EPA 650-4-75-010 Headquarters Library/Washington,DC 04/20/2010
EJBD  EPA 650-4-75-010 Headquarters Library/Washington,DC 01/06/2015
EKAM  TD883.2.B75 Region 4 Library/Atlanta,GA 01/17/1997
NTIS  PB-241 866 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 21 p. : ill.
Abstract
This study examines some of the statistical problems that arise in the validation and evaluation of air quality models. It considers the various scores or indices that can be used in measuring the predictive accuracy of a model and shows how the verification statistics are affected by errors in the input and output data and imperfections in the model. Suggestions are made regarding the major problem of separating input-output data errors from those introduced by a poor mathematical representation of the physical and chemical processes, and recommendations are made regarding validation procedures to be followed as the RAPS data base becomes available.