Main Title |
Evaluation of rural air quality simulation models / |
Author |
Cox, William M. ;
Moss, G. K.
|
Other Authors |
|
CORP Author |
Environmental Protection Agency, Research Triangle Park, NC. Office of Air Quality Planning and Standards. |
Publisher |
U.S. Environmental Protection Agency, Office of Air and Radiation, Office of Air Quality Planning and Standards, |
Year Published |
1985 |
Report Number |
EPA-450/4-83-003 a |
Stock Number |
PB85-244135 |
OCLC Number |
13414319 |
Subjects |
Air quality--Simulation methods ;
Air quality--United States
|
Additional Subjects |
Electric power plants ;
Air pollution ;
Mathematical models ;
Rural areas ;
Sulfur dioxide ;
Tables(Data) ;
Industrial wastes ;
Combustion products ;
Air quality
|
Internet Access |
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
ELBD ARCHIVE |
EPA 450-4-83-003 |
Received from HQ |
AWBERC Library/Cincinnati,OH |
10/04/2023 |
NTIS |
PB85-244135 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
2 volumes |
Abstract |
The addendum provides additional information regarding the performance of four rural air quality simulation models using SO2 air quality and a modelers data base assembled for the Muskingum River Power Plant. The report contains numerous tabulations of each model's performance in terms of statistical measures recommended by the AMS. The four models evaluated included MPTER (EPA), PPSP (Martin Marietta Corp), MPSDM (ERT) and TEM-8A (Texas Air Control Board). Results from the evaluation were similar to those obtained for Clifty Creek, i.e., the models as a group tend to overpredict 1-hour averages, overpredict to a lesser extent 3-hour averages, and slightly underpredict 24-hour average concentrations. |
Notes |
"June 1985." "August 1985." "EPA-450/4-83-003a." "EPA-450/4-83-003b." |
Contents Notes |
addendum A. Muskingum River data base / by William M. Cox, Gerald K. Moss -- addendum B. Graphical display of model performance using the Clifty Creek data base. |