Record Display for the EPA National Library Catalog

RECORD NUMBER: 22 OF 40

Main Title Prediction by Numerical Models of Transport and Diffusion in an Urban Boundary Layer. Volume I.
Author Pandolf, Joseph P. ; Atwate, Marshall A. ; Anderso, Gerald E. ;
CORP Author Center for the Environment and Man, Inc., Hartford, Conn.
Year Published 1971
Report Number CEM-4082-FR-Vol-1; CPA-70-62; 0931;
Stock Number PB-206 939
Additional Subjects ( Air pollution ; Atmospheric models) ; Mathematical models ; Atmospheric motion ; Atmospheric diffusion ; Mixing ; Boundary layers ; Wind(Meteorology) ; Air water interactions ; Solar radiation ; Temperature gradients ; Connecticut ; Urban areas ; Rural areas ; Seasonal variations ; Diurnal variations ;
Holdings
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Status
NTIS  PB-206 939 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 146p
Abstract
A three-dimensional numerical model based on the Eulerian conservation equations for momentum, heat, water vapor, salinity, and air pollutants was used to examine the transport and diffusion processes in the planetary boundary layer. Horizontal diffusion was incorporated through a strongly and implicitly diffusive finite-difference scheme for the horizontal advection terms, viz, upwind differencing. However, terms representing other transport and diffusion processes were explicitly included in the differential equations. It is feasible to simulate the temporal variation of meteorological and pollutant variables, on a three-dimensional array containing several thousand grid points, within practical limits on a computer. Simulated urban-rural low level temperature differences in winter are qualitatively realistic. The simulated daytime vertical profile of pollutants show a well-mixed surface layer with quasi-constant concentrations. The nighttime profiles show definite peaks of concentration near the source height. Three-dimensional fields of meteorological and pollutant variables were simulated using Connecticut source inventory data and typical (hypothetical) winter meteorological conditions. (Author)