Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Effects of Uncertainty in Meteorological Inputs on O3 Concentration, O3 Production Efficiency, and O3 Sensitivity to Emissions Reductions in the Regional Acid Deposition Model.
Author Li, Y. ; Dennis, R. L. ; Tonnesen, G. S. ; Pleim, J. E. ; Byun, D. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. National Exposure Research Lab. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.
Publisher 1998
Year Published 1998
Report Number EPA/600/A-97/099;
Stock Number PB98-116296
Additional Subjects Ozone ; Emissions ; Photochemical reactions ; Mathematical models ; Air pollution monitoring ; Atmospheric transport ; Atmospheric chemistry ; Planetary boundary layer ; Nitrogen oxides ; Meteorological data ; Sensitivity analysis ; Computerized simulation ; Regional Acid Deposition Model ; Volatile organic compounds
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
NTIS  PB98-116296 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 07/03/1998
Collation 12p
Photochemical models are widely used to determine the level of VOC and NOx emissions reductions required to attain the National Ambient Air Quality Standard for ozone (O3). Modeled O3 concentrations, (O3), are affected by photochemical production of O3, by NOx and VOC precursor emissions, and by meteorological processes that included horizontal transport, vertical mixing, cloud effects on actinic flux, and deposition of O3 and its precursors. In this study, the authors conduct a series of sensitivity experiments with the Regional Acid Deposition Model (RADM) using changes in meteorological inputs, such as PBL height and cloud effects, to examine their impact on (O3) and on O3 production efficiency. Using each of these modified meteorology scenarios as a 'base case' the authors then evaluate the effect of meteorology on the effectiveness of emissions controls by running additional model simulations with 15% and 50% reductions in NOx or VOC emissions.