Record Display for the EPA National Library Catalog

RECORD NUMBER: 3 OF 3

OLS Field Name OLS Field Data
Main Title Statistical Method for Detection of a Trend in Atmospheric Sulfate.
Author Shreffler, J. H. ; Barnes, H. M. ;
CORP Author Environmental Protection Agency, Research Triangle Park, NC. Atmospheric Research and Exposure Assessment Lab.
Publisher 1995
Year Published 1995
Report Number EPA/600/A-95/026;
Stock Number PB95-174686
Additional Subjects Sulfates ; Ozone ; Air pollution ; Statistical analysis ; Sulfur dioxide ; Concentration(Composition) ; Regression analysis ; Acid rain ; Seasonal variations ; Photochemical reactions ; Meteorology ; Computerized simulation ; Atmospheric chemistry ; Sampling ; Point sources ; Bias ; Particulates ; EMEFS(Eulerian Model Evaluation Field Study) ; RADM(Regional Acid Deposition Model) ; Acid Models Operational and Diagnostic Evaluation Study ; Acid MODES ; Clean Air Act Amendments
Holdings
Library Call Number Additional Info Location Last
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Status
NTIS  PB95-174686 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 05/26/1995
Collation 16p
Abstract
Daily atmospheric concentrations of sulfate collected in northeastern Pennsylvania are regressed against meteorological factors, ozone, and time in order to determine if a significant trend in sulfate can be detected. The data used in the analysis were collected during the Sulfate Regional Experiment (SURE, 1977-1978) and the Acid Model Operational Diagnostic Evaluation Study (Acid MODES, 1988-1989). The steps in building a multiple linear regression model for sulfate are discussed. Ozone and seasonal terms (reflecting the potential of the atmosphere for oxidation of sulfur dioxide) emerge as important explanatory factors.