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Main Title Numerical optimization techniques in air quality modeling : objective interpolation formulae for the spatial distribution of pollutant concentration /
Author Gustafson, Sven-ĂȘAke, ; Gustafson, Sven- Ake
Other Authors
Author Title of a Work
Kortanek, K. O.,
Sweigart, James R.
Calder, Kenneth L.
CORP Author Carnegie-Mellon Univ., Pittsburgh, Pa.;Environmental Sciences Research Lab., Research Triangle Park, N.C. Meteorology and Assessment Div.
Publisher Environmental Sciences Research Laboratory, Office of Research and Development, U.S. Environmental Protection Agency,
Year Published 1976
Report Number EPA-600/4-76-058; R 803632; EPA-R-803632
Stock Number PB-262 200
OCLC Number 34907272
Additional Subjects Air pollution ; Atmospheric circulation ; Contaminants ; Concentration(Composition) ; Mathematical models ; Dispersions ; Plumes ; Sampling ; Statistical distributions ; Least squares method ; Interpolation
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
EJBD  EPA 600/4-76-058 Headquarters Library/Washington,DC 03/26/2014
EKBD  EPA-600/4-76-058 Research Triangle Park Library/RTP, NC 06/21/1996
ELBD ARCHIVE EPA 600-4-76-058 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ESAD  EPA 600-4-76-058 Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB-262 200 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation vi, 42 p. ; 28 cm.
A technique is proposed for objective interpolation of the air quality distribution over a region in terms of sparse measurement data. Empirical information provided by the latter is effectively combined with knowledge of atmospheric dispersion functions of the type commonly used in source-oriented air quality models, to provide improved estimates of the concentration distribution over an extended region. However, the technique is not primarily source-oriented since, in contrast to the real source distribution of a source-oriented model, it utilizes fictitious or pseudo-sources that are estimated in terms of the measured air quality data. This involves the use of interpolation functions that are computed using numerical optimization techniques based on the method of least squares. Due to the large number of different 'weather' states that affect the atmospheric dispersion of pollution, considerable computation is required, although the bulk of this can be done in advance, so that the final interpolation from the measured values only requires very simple calculation. Thus the proposed method has the potential for application on a real-time basis. In addition to the mathematical formulation of the problem, this preliminary study includes some numerical experiments, using a current multiple-source EPA air quality model, to illustrate the technique.
EPA Project Officer: Kenneth L. Calder, Meteorology & Assessment Division. "Grant No. R 803632." "December 1976." Includes bibliographical references (p. 42).