Record Display for the EPA National Library Catalog


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; PB252622
Stock Number PB-252 622
OCLC Number 02379069
ISBN pbk.
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
Library Call Number Additional Info Location Last
EJBD  EPA 650-4-75-005 c.1 Headquarters Library/Washington,DC 05/07/2013
EKBD  EPA-650/4-75-005 Research Triangle Park Library/RTP, NC 01/12/2015
ELBD ARCHIVE EPA 650-4-75-005 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
NTIS  PB-252 622 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation [225] pages : illustrations ; 28 cm.
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.
Prepared by Kaman Sciences Corporation, Colorado Springs, Colo., under contract no. 68-02-0699. Includes appendices. Includes bibliographical references (pages 194-197).