| 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
Modified |
Checkout
Status |
| NTIS |
PB95-174686 |
Some EPA libraries have a fiche copy filed under the call number shown. |
|
07/26/2022 |
|
| 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 |
