Record Display for the EPA National Library Catalog


Main Title Statistical Methodology for Exploring Elevational Differences in Precipitation Chemistry.
Author Warren, W. G. ; Boehm, M. ; Link., D. ;
CORP Author Environmental Protection Agency, Denver, CO. Region VIII. ;Oregon State Univ., Corvallis. Dept. of Forest Management. ;NSI Technology Services Corp., Corvallis, OR. Environmental Research Lab.
Publisher c1992
Year Published 1992
Report Number EPA/600/J-92/036;
Stock Number PB92-144088
Additional Subjects Precipitation(Meteorology) ; Statistical analysis ; Atmospheric chemistry ; Air pollution ; Study estimates ; Concentration(Composition) ; Elevation ; Techniques ; Sulfates ; Snow ; Rain ; Reprints ; National Atmospheric Deposition Program ; National Trends Network
Library Call Number Additional Info Location Last
NTIS  PB92-144088 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 12p
A statistical methodology for exploring the relationships between elevation and precipitation chemistry is outlined and illustrated. The methodology utilizes maximum likelihood estimates and likelihood ratio tests with contour ellipses of assumed bivariate lognormal distributions used to assist in interpretation. The approach was illustrated using 12 NADP/NTN sites located in six study areas in the Wyoming and Colorado Rockies. These sites are part of the Rocky Mountain Deposition Monitoring Project (RMDMP), which was initiated in 1986 to investigate the relationships between elevation and the chemistry of precipitation. The results indicate differences in sulfate concentrations between airsheds, between snow and rain, and between higher and lower elevations. In general, sulfate concentrations in snow are greater at lower elevations and this difference is independent of concentration. A similar relationship for rain was not well established. In addition there is evidence that, overall, the sulfate concentrations differed between the six study areas, although pairwise differences were not always significant.