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Main Title Dependencies and Sensitivity of Tropospheric Oxidants to Precursor Concentrations over the Northeast United States: A Model Study.
Author Mathur, R. ; Schere, K. L. ; Nathan, A. ;
CORP Author North Carolina Supercomputing Center, Research Triangle Park, NC. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div. ;Computer Sciences Corp., Research Triangle Park, NC.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher 20 May 94
Year Published 1994
Report Number EPA-R-816496; EPA/600/J-94/310;
Stock Number PB94-192770
Additional Subjects Atmospheric models ; Troposphere ; Photochemical reactions ; Ozone ; Chemical composition ; Periodic variations ; Concentration(Composition) ; Nitrogen oxides ; Air pollution control ; Emission ; Sources ; Transport properties ; Hydrocarbons ; Reprints ; ROM(Regional oxidant model) ; Northeast United States
Library Call Number Additional Info Location Last
NTIS  PB94-192770 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 21p
Several important issues related to the distribution and production of photochemical species are examined through an analysis of results obtained from applications of a comprehensive three-dimensional regional scale photochemical model over the northeast United States. The Regional Oxidant Model (ROM) is used to simulate the response of various photochemical species to specific anthropogenic emissions strategies involving NOx and hydrocarbon reductions for an episodic period during July 1988. Domain and temporal averages of predicted concentrations are examined for various species. Their relative influence on oxidant chemistry over the modeled domain is investigated. Further, spatial distributions of Ozone (O3) with respect to those of NOx, NOy, and hydrocarbons over the modeled domain are examined and the variations in O3 levels for different chemical regimes classified by characteristic NOx/ROG and NOx/NOy ratios are investigated. The relative benefits of reductions in NOx and hydrocarbon emissions on predicted O3 levels are also examined. In general, for this modeled domain, reductions in NOx emissions with or without reductions in hydrocarbon emissions have more impact on reducing predicted O3 levels compared to reductions only in hydrocarbon emissions.