| Main Title |
Interim procedures for evaluating air quality models : experience with implementation. |
| CORP Author |
United States. Environmental Protection Agency. Monitoring and Data Analysis Division. |
| Publisher |
U.S. Environmental Protection Agency, Monitoring and Data Analysis Division, Office of Air Quality Planning and Standards, |
| Year Published |
1985 |
| Report Number |
EPA-450/4-85-006 |
| Stock Number |
PB85-242477 |
| OCLC Number |
12827529 |
| Subjects |
Air quality--United States--Simulation methods ;
Air quality management--United States ;
Air quality--Simulation methods
|
| Additional Subjects |
Air quality--Simulation methods ;
Air quality management ;
Air pollution ;
Mathematical models ;
Performance evaluation ;
Standards ;
Comparison
|
| Internet Access |
|
| Holdings |
| Library |
Call Number |
Additional Info |
Location |
Last
Modified |
Checkout
Status |
| EKBD |
EPA-450/4-85-006 |
|
Research Triangle Park Library/RTP, NC |
08/27/1999 |
| ELBD ARCHIVE |
EPA 450-4-85-006 |
Received from HQ |
AWBERC Library/Cincinnati,OH |
10/04/2023 |
| ESAD |
EPA 450-4-85-006 |
|
Region 10 Library/Seattle,WA |
07/17/2018 |
| NTIS |
PB85-242477 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| Collation |
1 volume (various pagings) : illustrations, maps ; 28 cm |
| Abstract |
The report summarizes and intercompares the details of five major regulatory cases for which guidance provided in the 'Interim Procedures for Evaluating Air Quality Models' was implemented in evaluating candidate models. In two of the cases the evaluations have been completed and the appropriate model has been determined. In three cases the data base collection and/or the final analysis has not yet been completed. The purpose of the report is to provide potential users of the Interim Procedures with a description and analysis of several applications that have taken place. With this information in mind the user should be able to: (1) more effectively implement the procedures since some of the pitfalls experienced by the initial pioneers can now be avoided; and (2) design innovative technical criteria and statistical techniques that will advance the state of the science of model evaluation. |
| Notes |
Distributed to depository libraries in microfiche. "July 1985." Includes bibliographical references (pages 69-70). |
