Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Refinement and validation of an urban meteorological-pollutant model /
Author Pandolfo, Joseph P. ; Jacobs, Clifford A. ; Ball, Robert J. ; Atwater., Marshall A.
Other Authors
Author Title of a Work
Pandolfo, Joseph P.
Ching, Jason.
United States.
CORP Author Center for the Environment and Man, Inc., Hartford, Conn.;Environmental Sciences Research Lab., Research Triangle Park, N.C.
Publisher U.S. Environmental Protection Agency, Office of Research and Development, Environmental Sciences Research Laboratory,
Year Published 1976
Report Number EPA-600/4-76-037; CEM-4182-542; EPA-68-02-1767
Stock Number PB-258 310
OCLC Number 52758018
Additional Subjects Urban areas ; Air pollution ; Atmospheric motion ; Carbon monoxide ; Forecasting ; Mathematical models ; Time series analysis ; Partial differential equations ; Correlation techniques ; California ; Atmospheric diffusion ; Atmospheric models ; Los Angeles(California)
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD ARCHIVE EPA 600-4-76-037 Headquarters Library/Washington,DC 02/22/2013
EJBD  EPA 600-4-76-037 Headquarters Library/Washington,DC 04/22/2014
EKBD  EPA-600/4-76-037 Research Triangle Park Library/RTP, NC 08/01/2003
ELBD RPS EPA 600-4-76-037 repository copy AWBERC Library/Cincinnati,OH 10/17/2014
NTIS  PB-258 310 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 01/01/1988
Collation viii, 22 p. : ill. ; 28 cm.
This report discusses the refinement of a grid point model for predicting atmospheric transport and diffusion in an urban boundary layer. In earlier studies, a coarse 8-mile horizontal square grid was used to predict CO concentrations in the Los Angeles Metropolitan area. In this stud, a 2-mile grid for the CO emission has been used to test a recent hypothesis that predictive accuracy can be improved by incorporating a finer horizontal grid resolution to more accurately reflect the spatial distribution of a pollutant emission pattern. However, contrary to expectations, the evaluation statistics show that increasing the degree of horizontal detail in the source emission inventory did not significantly increase the sensitivity and accuracy of the pollutant concentration forecast. When compared to other models, this pollutant forecast is among the most accurate when predicting the overall average concentration and temporal correlation, and approximately as accurate as other primitive equation models in terms of spatial correlation statistics.
Project Officer: Jason Ching. The Center for the Environment and Man, Inc. "July 1976." "EPA-600/4-76-037."