Record Display for the EPA National Library Catalog

RECORD NUMBER: 19 OF 49

Main Title Evaluation of rural air quality simulation models : addendum D: Paradise SO2 data base /
Author Cox, W. M. ; Rorex, H. W. ; Moss, G. K. ; Baldridge, E. W.
CORP Author United States. Environmental Protection Agency. 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 1987
Report Number EPA 450/4-83-003d; EPA/450/4-83/003D
Stock Number PB87-232120
OCLC Number 16893506
Additional Subjects Air quality ; Electric power plants ; Air pollution ; Mathematical models ; Simulation models ; Evaluation ; Rural areas ; Sulfur dioxide ; Statistical data ; Meteorology ; Air quality
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=2000N2B9.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EKBD  EPA-450/4-83-003d Research Triangle Park Library/RTP, NC 01/01/1988
ELBD ARCHIVE EPA 450-4-83-033d Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ESAD  EPA 450-4-83-003D Region 10 Library/Seattle,WA 03/23/2010
NTIS  PB87-232120 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 1 v. (various pagings)
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 Paradise 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 this evaluation were similar in many ways to those obtained for Clifty Creek, Muskingum River and Kincaid. PPSP clearly over-predicted concentrations in almost every data category while MPSDM, MPTER, and TEM exhibited relatively small but detectable biases depending on averaging period and data category.
Notes
"January 1986." "EPA 450/4-83-003d." Includes bibliographical references.