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Main Title Relative Importance of Oxidation Pathways and Clouds to Atmospheric Ambient Sulfate Production as Predicted by the Regional Acid Deposition Model.
Author McHenry, J. N. ; Dennis, R. L. ;
CORP Author MCNC, Research Triangle Park, NC. Information Technologies Div. ;National Oceanic and Atmospheric Administration, Research Triangle Park, NC. Atmospheric Sciences Modeling Div.;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher cJul 94
Year Published 1994
Report Number EPA-68-W0-0043; EPA/600/J-94/361;
Stock Number PB94-209673
Additional Subjects Clouds(Meteorology) ; Air pollution ; Sulfates ; Atmospheric chemistry ; Reprints ; Oxidation ; Deposition ; Study estimates ; Acid rain ; pH ; Rain ; Hydrogen peroxide ; Ammonia ; Troposphere ; Comprehensive Sulfate Tracking Model ; COMSTM model ; Regional Acid Deposition Model/Engineering Model ; Chemical reaction mechanisms
Library Call Number Additional Info Location Last
NTIS  PB94-209673 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 19p
The development and use of a version of the Regional Acid Deposition Model/Engineering Model (RADM/EM) called the Comprehensive Sulfate Tracking Model (COMSTM) is reported. The COMSTM is used to diagnose the relative contributions of each sulfate production pathway to the total atmospheric ambient sulfate predicted by RADM. Thirty meteorological cases are used to aggregate the results into annual estimates. For the operational RADM (denoted RADM 2.6), nonprecipitating cloud production of ambient sulfate dominates over precipitating cloud production, and the hydrogen peroxide pathway dominates over four other aqueous formation routes. Gas-phase production of sulfate contributes less than 40% of the ambient budget. Further, the COMSTM is used to explore the sensitivity of the RADM's cloud water and rainwater pH's and ambient sulfate predictions to uncertainties in the ammonia emissions inventory. By developing correction factors to improve in-cloud and deposited ammonia, and utilizing them in the COMSTM, it is shown that the uncertainties should have a minimal effect on predicted cloud water and rainwater pH's and on the overall ambient sulfate budget in the operational RADM 2.6. (Copyright (c) 1994 American Meteorological Society.)