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Main Title Multivariate Trend Testing of Lake Water Quality.
Author Loftis, J. C. ; Taylor, C. H. ; Newell, A. D. ; Chapman, P. L. ;
CORP Author Colorado State Univ., Fort Collins. Dept. of Agricultural and Chemical Engineering. ;Merrell Dow Research Inst., Cincinnati, OH. ;ManTech Environmental Technology, Inc., Corvallis, OR. Environmental Research Lab.;Corvallis Environmental Research Lab., OR.
Publisher cJun 91
Year Published 1991
Report Number EPA-68-03-3439; EPA/600/J-94/510;
Stock Number PB95-148722
Additional Subjects Lakes ; Water quality ; Trends ; Multivariate analysis ; Water pollution sampling ; Acid rain ; Long term effects ; Air pollution ; Air water interactions ; Statistical analysis ; Reprints ; Acid precipitation
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
NTIS  PB95-148722 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 15p
Abstract Multivariate methods of trend analysis offer the potential for higher power in detecting gradual water quality changes as compared to multiple applications of univariate tests. Simulation experiments were used to investigate the power advantages of multivariate methods for both linear model and Mann-Kendall based approaches. The experiments focused on quarterly observations of three water quality variables with no serial correlation and with several different intervariable correlation structures. The multivariate methods were generally more powerful than the univariate methods, offering the greatest advantage in situations where water quality variables were positively correlated with trends in opposing directions. For illustration, both the univariate and multivariate versions of the Mann-Kendall based tests were applied to case study data from several lakes in Maine and New York which had been sampled as part of EPA's long term monitoring study of acid precipitation effects.
Supplementary Notes Pub. in Water Resources Bulletin, American Water Resources Association, Paper no. 90060, v27 n3 p461-473 Jun 91. See also PB88-215099. Prepared in cooperation with Merrell Dow Research Inst., Cincinnati, OH. and ManTech Environmental Technology, Inc., Corvallis, OR. Environmental Research Lab. Sponsored by Corvallis Environmental Research Lab., OR.
Title Annotations Reprint: Multivariate Trend Testing of Lake Water Quality.
Category Codes 68D; 68A; 48G
NTIS Prices PC A03/MF A01
Primary Description 600/02
Document Type NT
Cataloging Source NTIS/MT
Control Number 503415226
Origin NTIS
Type CAT