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RECORD NUMBER: 7 OF 60

OLS Field Name OLS Field Data
Main Title Atmospheric Dispersion Modeling Based upon Boundary Layer Parameterization.
Author Silvertsen, B. ; Gryning, S. E. ; Holtslag, A. A. M. ; Irwin, J. S. ;
CORP Author Norsk Inst. for Luftforskning, Lillestroem. ;Risoe National Lab., Roskilde (Denmark). ;Royal Netherlands Meteorological Inst., De Bilt.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Sciences Research Lab.
Year Published 1985
Report Number EPA/600/D-85/224;
Stock Number PB86-110699
Additional Subjects Mathematical models ; Boundary layers ; Air pollution ; Scale(Ratio) ; Parametric equations ; Concentration(Composition) ; Transport properties ; Sources ; Atmospheric dispersion ; Gaussian plume models ; Atmospheric chemistry ; Tracer studies
Holdings
Library Call Number Additional Info Location Last
Modified
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Status
NTIS  PB86-110699 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 06/21/1988
Collation 21p
Abstract
Characteristic scaling parameters in the planetary boundary layer have been applied to estimate the dispersion of nonbuoyant gaseous pollutants. Vertical and lateral spread are treated separately, and the choice of parameters for the dispersion models depends upon the actual state of the planetary boundary layer. The lateral concentration distribution at the surface was usually found to be a Gaussian distribution. The vertical concentration distribution was more often other than Gaussian. For the different scaling regions of the atmosphere, methods are proposed for estimating the crosswind integrated concentrations, as functions of distance from the source, and are compared using results from tracer experiments. The proposed methods estimate the transport and dispersion directly from the turbulent state of the atmosphere. In all the scaling regions, the various methods adequately estimated the observed concentrations. The turbulence, and thus the dispersion, is better explained and modeled in the surface layer of the atmosphere (stable and unstable), than within the layers above the surface layer. Some success was demonstrated for releases in the stable local scaling (z-less) layer, and in the mixed layer and the near-neutral layer.