Record Display for the EPA National Library Catalog
RECORD NUMBER: 11 OF 12
|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.|
|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|
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.