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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
Library Call Number Additional Info Location Last
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.
Category Codes 68A; 55E; 55C; 91A; 97R; 99E
NTIS Prices PC A03/MF A01
Primary Description 600/09
Document Type NT
Cataloging Source NTIS/MT
Control Number 509021470
Origin NTIS
Type CAT