Record Display for the EPA National Library Catalog

RECORD NUMBER: 8 OF 14

OLS Field Name OLS Field Data
Main Title Objective procedures for optimum location of air pollution observation stations /
Author Buell, C. Eugene.
CORP Author Kaman Sciences Corp., Colorado Springs, Colo.;Environmental Sciences Research Lab., Research Triangle Park, N.C.
Publisher U.S. Environmental Protection Agency, Office of Research and Development, Environmental Sciences Research Laboratory ; For sale by the National Technical Information Service,
Year Published 1975
Report Number EPA/650/4-75/005; EPA-68-02-0699
Stock Number PB-252 622
Subjects Air--Pollution--United States. ; Interpolation. ; Mathematical optimization.
Additional Subjects Air pollution ; Urban areas ; Regression analysis ; Concentration(Composition) ; Lower atmosphere ; Wind velocity ; Exhaust emissions ; Combustion products ; Monitoring ; Position(Location) ; Correlation techniques ; Probability density functions ; Computer programs ; Air pollution sampling ; Air quality ; Observation posts ; BAST computer program
Internet Access
Description Access URL
http://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=20015UL5.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB-252 622 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 225 unnumbered pages : illustrations ; 28 cm
Abstract
This document is concerned with developing linear regression techniques for interpolation of air pollutant concentrations over an area and, using these techniques in a computer program for determining the optimum location of air pollution observing stations. The general interpolation problem is surveyed and the advantages of using linear regression formulas as interpolation formulas are discussed. The case of observations containing errors of observation or effects of limited range of influence is emphasized. Since the use of linear regression methods depends on knowledge of the two-point correlation function for pollutant concentration measures, the construction of correlation coefficients from synthetic data is taken up. Attention is given to the estimation of residual variances or the effects of limited range of influence, using Factor Analysis. In extending these methods to a continuous formulation in integral equation form, the lack of accuracy in the integral equation solution is more important than the statistical significance of the data unless the residual variances are removed. If this is done, then the tests for accuracy and statistical significance are reconciled. If the user carefully handles the residual variances in constructing program input, difficulties encountered in code development are avoidable.
Notes
Prepared by Kaman Sciences Corporation, Colorado Springs, Colo., under contract no. 68-02-0699. Includes appendices. Includes bibliographical references (pages 194-197). Microfiche.