||Continued research in mesoscale air pollution simulation modeling. Volume I, Assessment of prior model evaluation studies and analysis of model validity and sensitivity /
Liu, M. K. ;
Whitney, D. C. ;
Seinfeld, J. H. ;
Roth., P. M. ;
||Systems Applications, Inc., San Rafael, Calif.;Environmental Sciences Research Lab., Research Triangle Park, N.C.
|| Environmental Sciences Research Laboratory ; National Technical Information Service,
||EPA 600/4-76-016 A; SAI/EF75-23; EPA-68-02-1237
Photochemical smog--Simulation methods. ;
Air pollution ;
Atmospheric models ;
Computerized simulation ;
Data processing ;
Mathematical models ;
Numerical analysis ;
Carbon monoxide ;
Nitrogen oxides ;
Photochemical reactions ;
Physical properties ;
Chemical properties ;
Urban areas ;
Wind velocity ;
Airshed models ;
Trajectory model ;
||Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy.
||xiv, 246 leaves : ill., map ; 28 cm.
||This report summarizes three independent studies: an analysis of prior evaluative studies of three mesoscale air pollution prediction models (two trajectory models and one grid model), an examination of the extent of validity of each type of model, and an analysis of the sensitivity of grid model predictions to changes in the magnitudes of key input variables. The analysis of prior studies showed that the three models evaluated generally reproduced measured ground-level pollutant concentrations with less than acceptable accuracy. This outcome is the result partly of problems of inadequacies in the models themselves and partly of the nonrepresentativeness of the measurement data. In the validity study, the results indicate that numerical diffusion can introduce significant error in the grid model, whereas neglect of wind shear and vertical transport are most detrimental in the trajectory approach. The sensitivity analysis assessed the change in magnitude of predicted atmospheric pollutant concentrations due to variations in wind speed, diffusivity, mixing depth, radiation intensity, and emissions rate. The results of the sensitivity analysis showed that variations in these key input variables influence predictions according to the following order of decreasing influence: wind speed, emissions rate, radiation intensity, mixing depth, vertical diffusivity, and horizontal diffusivity. Moreover, the responses of CO and NO2 tend to vary linearly with the meteorological and emissions parameters, whereas those of NO and O3 tend to be nonlinear.
||"EPA 600/4-76-016a." "May 1976." "68-02-1237." "Project Officer, Kenneth L. Demerjian." Includes bibliographical references (p. 242-245). Photocopy. Research Triangle Park, N.C. : US EPA,
||Research Triangle Park, N.C. Springfield, Va.
||Also available in set of 4 reports as PB-257 525-SET, PC E99/MF E99.
|Corporate Au Added Ent
||Environmental Sciences Research Laboratory.
|Title Ser Add Ent
||Research reporting series. Environmental monitoring ; EPA 600/4-76-016a.; Environmental monitoring series ; EPA 600/4-76-016a.
||Assessment of prior model evaluation studies and analysis of model validity and sensitivity
|NTIS Title Notes
||Final rept. Jun 74-Jun 75.
|PUB Date Free Form
|Series Title Untraced
||Research reporting series. 4, Environmental monitoring ; EPA 600/4-76-016a\ Environmental monitoring series ; EPA 600/4-76-016a
||4A; 13B; 68A; 55E
||PC A12/MF A01
|OCLC Time Stamp
|OCLC Rec Leader
||01865cam 2200397Ka 45020