Main Title |
Cloud and Chemical Pathway Characterization of the Nonlinear Response of Sulfur Deposition and Sulfate Air Concentrations to Changes in SO2 Emissions in the RADM. |
Author |
McHenry, J. N. ;
Dennis, R. L. ;
|
CORP Author |
Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. ;MCNC, Research Triangle Park, NC. Information Technologies Div. ;Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab. |
Publisher |
1994 |
Year Published |
1994 |
Report Number |
EPA/600/A-93/288; |
Stock Number |
PB94-130101 |
Additional Subjects |
Sulfur dioxide ;
Air pollution monitoring ;
Chemical reactions ;
Sulfates ;
Emissions ;
Ozone ;
Hydrogen peroxide ;
Atmospheric chemistry ;
Clouds(Meteorology) ;
Air pollution control ;
Atmospheric models ;
Reprints ;
RADM(Regional Acid Deposition Model) ;
COMSTM(COMprehensive Sulfate Tracking Model) ;
Wet sulfate deposition
|
Holdings |
Library |
Call Number |
Additional Info |
Location |
Last Modified |
Checkout Status |
NTIS |
PB94-130101 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
Collation |
7p |
Abstract |
A specially instrumented diagnostic version of the RADM/EM, called the Comprehensive Sulfate Tracking Model (COMSTM), has been developed to help characterize and quantify the nature of the nonlinearity. The COMSTM tags the sulfate in the model by chemical pathway and cloud-type pathway of origin. This allows the authors to estimate the strength and spatial extent of the nonlinearity in each sulfate production pathway, and the contributions of each pathway to the total sulfate deposition. Thus, the model's overall nonlinear response may be broken down into its characteristic components. The same approach may be used to characterize the nonlinearity in relationship to atmospheric sulfate aerosol. |