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OLS Field Name OLS Field Data
Main Title Optimum meteorological and air pollution sampling network selection in cities : volume I, theory and design for St. Louis /
Author Vukovich, Fred M. ; Bach, Jr., Walter D. ; Clayton, C. Andrew
Other Authors
Author Title of a Work
Bach, Walter D.
Clayton, C. Andrew.
CORP Author Research Triangle Inst., Research Triangle Park, NC.;Environmental Monitoring and Support Lab., Las Vegas, NV.
Publisher Environmental Monitoring and Support Laboratory, Office of Research and Development, U.S. Environmental Protection Agency,
Year Published 1978
Report Number EPA-600/4-78-030; 68-03-2187; EPA-68-03-2187
Stock Number PB-285 484
OCLC Number 04868735
Subjects Air--Pollution--Mathematical models. ; Meteorology--United States.
Additional Subjects Urban areas ; Sampling ; Air pollution ; Sites ; Mathematical models ; Concentration(Composition) ; Carbon monoxide ; Wind(Meteorology) ; Sensitivity ; Atmospheric motion ; Networks ; Air pollution sampling ; Air quality ; Saint Louis(Missouri) ; Numerical solutions
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EKAM  TD178.6.E62 600 1978, no.30 Region 4 Library/Atlanta,GA 05/27/1994
EKBD  EPA-600/4-78-030 Research Triangle Park Library/RTP, NC 09/08/2014
ENAD  EPA-600/4-78-030 Region 7 IRC Library/Kansas City,KS 05/20/2005
ESAD  EPA 600-4-78-030 Region 10 Library/Seattle,WA 09/12/2017
NTIS  PB-285 484 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 xviii, 134 pages : illustrations, maps ; 28 cm.
Abstract A technique was developed to establish an optimum meteorological and air pollution sampling network in urban areas. The basis of the network is the wind field in the urban area rather than the air pollution distribution because it provided a solution with longer-term stability than the air pollution distribution. Three specific models are required in order to determine the optimum network. These are: a three-dimensional hydrodynamic model; a statistical model; and an objective variational analysis model. The primitive equation model is used to simulate the wind field for a variety of cases. These simulated data were used to determine the form of a regression model which approximates the various wind fields. A regression model form was then used, along with a set of potential network sites, and a criterion for judging alternative networks to derive the sampling network for the winds. The method used to develop the network involved the successive elimination of candidate sites until a reasonably sized network was achieved. The air pollution distribution is obtained through an objective variational analysis model. The model simultaneously minimizes the error variance by comparing observed pollution concentrations with derived pollution concentrations and the error variance of the constraint equation.
Notes Prepared by the Research Triangle Institute under contract no. 68-03-2187. Supported by the National Science Foundation, Research Applied to National Needs. Includes bibliographical references (pages 133-134).
Place Published Las Vegas, Nev.
Corporate Au Added Ent Environmental Monitoring and Support Laboratory (Las Vegas, Nev.); Research Triangle Institute.; National Science Foundation (U.S.). Research Applied to National Needs Program.
Title Ser Add Ent Environmental monitoring series ; EPA-600/4-78-030.
PUB Date Free Form 1978
Series Title Traced Environmental monitoring series ; EPA-600/4-78-030
Series Title Untraced Environmental monitoring series ; EPA-600/4-78-030
NTIS Prices PC A08/MF A01
BIB Level m
Medium unmediated
Content text
Carrier volume
Cataloging Source OCLC/T
OCLC Time Stamp 20170908020023
Language eng
SUDOCS Number EP 1.23/5:600/4-78-030
Origin OCLC
OCLC Rec Leader 02289cam 2200529Ii 45010