Record Display for the EPA National Library Catalog


Main Title Evaluating simple oxidant prediction methods using complex photochemical models : cluster analysis applied to urban ozone characteristics /
Author Hillyer, M. J. ; Hillyer, Martin S.
CORP Author Systems Applications, Inc., San Rafael, CA.;Environmental 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 1981
Report Number EPA-450/4-81-031 e; SAI-81176; EPA-68-02-2870; EPA-450/4-81-031E; PB82234212
Stock Number PB82-234212
OCLC Number 09661007
Subjects Cluster analysis ; Atmospheric ozone--United States ; Air--Pollution--United States
Additional Subjects Air pollution ; Ozone ; Clustering ; Mathematical modeling ; Urban areas ; Nitrogen oxides ; Classification
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EIAD  EPA-450/4-81-031e Region 2 Library/New York,NY 05/23/2003 DISPERSAL
EJBD ARCHIVE EPA-450/4-81-031e Headquarters Library/Washington,DC 09/10/2013
EKBD  EPA-450/4-81-031e Research Triangle Park Library/RTP, NC 08/27/1999
ESAD  EPA 450-4-81-031E Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB82-234212 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation v, 34 p. : ill., 1 map ; 28 cm.
This report describes efforts to classify cities observing ozone levels greater than 0.12 ppm into distinct subgroups. Cluster analysis, using such factors mixing height, wind speed, temperature, NMOC/NOx ratio and type of precursor sources, is used to identify subgroups of cities. Identification of a limited number of such subgroups could provide a means for more convincingly demonstrating the general applicability of complex photochemical models by conducting validation exercises in cities representative of each subgroup. The report indicates that the technique shows promise but, nevertheless, requires some further refinement before it can be used to identify most appropriate subgroups.
"September 1981." "EPA-450/4-81-031e." Bibliography: p. R-1. 68-02-2870.