Main Title |
Spectral modeling of atmospheric flows and turbulent diffusion / |
Author |
Bass, Arthur. ;
Orszag., Steven A.
|
Other Authors |
|
CORP Author |
Flow Research, Inc., Cambridge, Mass.;Environmental Sciences Research Lab., Research Triangle Park, N.C. |
Publisher |
Environmental Sciences Research Laboratory, |
Year Published |
1976 |
Report Number |
EPA-600/4-76-007; EPA-68-02-1297 |
Stock Number |
PB-252 506 |
OCLC Number |
641346268 |
Subjects |
Turbulent diffusion (Meteorology)--Mathematical models ;
Turbulence--Mathematical models ;
Air quality management--United States
|
Additional Subjects |
Atmospheric motion ;
Turbulent diffusion ;
Atmospheric models ;
Air pollution ;
Mathematical models ;
Incompressible flow ;
Finite difference theory ;
Fourier transformation ;
Computations ;
Fast Fourier transform ;
Discrete Fourier transform
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
EJBD ARCHIVE |
EPA 600-4-76-007 |
|
Headquarters Library/Washington,DC |
12/27/2011 |
NTIS |
PB-252 506 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
xi, 139 p. : ill. ; 28 cm. |
Abstract |
This report presents a survey of discrete spectral and pseudospectral numerical methods to simulate atmospheric flow and turbulent diffusion. Some applications of these methods to air quality simulation modeling are presented. A three-dimensional spectral incompressible numerical model is described in detail. Computational resource limitations precluded successful evaluation of eddy Austauch coefficients. Some numerical results are presented for the rate of relaxation of anisotropic flows. Recommendations and suggestions for further research are made concerning the prospective utility of these spectral methods for air quality simulation modeling. |
Notes |
Includes bibliographical references (p. 115-117). "January 1976." "EPA-600/4-76-007." "Contract No. 68-02-1297." "Project officer, Kenneth L. Calder, Meteorology and Assessment Division, Environmental Sciences Research Laboratory." |