Record Display for the EPA National Library Catalog

RECORD NUMBER: 40 OF 251

OLS Field Name OLS Field Data
Main Title Can Selected RADM Simulations Be Aggregated to Estimate Annual Concentrations of Fine Particulate Matter.
Author Eder, B. K. ; LeDuc, S. K. ;
CORP Author National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.;Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab.
Publisher 1996
Year Published 1996
Report Number EPA/600/A-96/074;
Stock Number PB97-123004
Additional Subjects Air pollution ; Particles ; Ambient air quality ; Computerized simulation ; Wind(Meteorology) ; Atmospheric models ; Mathematical models ; Reprints ; RADM(Regional Acid Deposition Model) ; Eastern Region(United States)
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100VB35.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB97-123004 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 02/22/1997
Collation 10p
Abstract
Ambient air concentrations of fine particulate matter are an issue of increasing concern for the U.S. Environmental Protection Agency. Accordingly, the Clean Air Act and the Amendments of 1990, call for an assessment of past and future regulations to protect both health and visibility. Unfortunately, our most reliable tools for assessing long-term air quality change, Eulerian models, challenge the practical limits of current computer resources and require extensive input data. To reduce the resource requirement, an aggregation method, initially developed for RADM (Regional Acid Deposition Model) acid-deposition applications, is currently being applied to a limited number (thirty) of RADM simulations in order to provide estimates of long-term (annual) ambient air concentrations of fine particulate matter. This paper briefly examines this aggregation technique, its application to fine particulate matter, and the suitability of the original thirty RADM simulations.