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Main Title An Evaluation of trend detection techniques for use in water quality monitoring programs /
Author Loftis, J. C. ; Ward, R. C. ; Phillips, R. D. ; Taylor, C. H.
Other Authors
Author Title of a Work
Loftis, Jim C.
Ward, Robert C.
Phillips, Ronald D.
Taylor, Charles H.
CORP Author Colorado State Univ., Fort Collins.;Corvallis Environmental Research Lab., OR.
Publisher U.S. Environmental Protection Agency,
Year Published 1989
Report Number EPA/600/3-89/037
Stock Number PB90-100058
OCLC Number 20412999
Subjects Water quality management
Additional Subjects Acidification ; Lakes ; Water pollution ; Air pollution ; Precipitation(Meteorology) ; Trends ; Statistical tests ; Spatial distribution ; Seasonal variations ; Detection ; Monte Carlo method ; Evaluation ; Water quality monitoring ; Acid precipitation ; Mann-Kendall test
Internet Access
Description Access URL
Local Library Info
Library Local Subject Local Note
N/A EPA/600/3-89/037 see EPAX 8909-0044
Library Call Number Additional Info Location Last
EHAM  EPA/600/3-89/037 Region 1 Library/Boston,MA 05/25/2016
EJBD  EPA 600/3-89/037 Headquarters Library/Washington,DC 05/27/2014
EKBD  EPA-600/3-89-037 Research Triangle Park Library/RTP, NC 02/22/2011
EKCD  EPA/600/3-89/037 CEMM/GEMMD Library/Gulf Breeze,FL 07/17/2018
ELBD ARCHIVE EPA 600-3-89-037 Received from HQ AWBERC Library/Cincinnati,OH 10/04/2023
ELBD  EPA 600-3-89-037 AWBERC Library/Cincinnati,OH 12/18/1998
EMBD  EPA/600/3-89/037 NRMRL/GWERD Library/Ada,OK 09/29/1995
ERAD  EPA 600/3-89-037 Region 9 Library/San Francisco,CA 01/11/1991
ESAD  EPA 600-3-89-037 Region 10 Library/Seattle,WA 09/05/2017
ESBD  EPA-600-3-89-037 CPHEA/PESD Library/Corvallis,OR 09/05/2017
NTIS  PB90-100058 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 139 pages
Information goals for a long-term water quality monitoring program to measure the impacts due to acid precipitation were developed using the Acid Precipitation Act of 1980 (PL 96-294, Title VII) as a basis. These broad information goals were refined to obtain statistical hypotheses for which statistical tests could be employed as part of a data analysis plan. Seven statistical tests were identified as capable of providing the desired information regarding trends in individual systems. The tests were evaluated under various conditions (i.e., distribution shape, seasonality and serial correlation) in order to determine how well they might perform as part of a data analysis plan. A Monte Carlo simulation approach was used to evaluate the tests. For annual sampling, the Kendall-tau (also known as the Mann-Kendall) test is recommended. For seasonal sampling, the Seasonal Kendall or analysis of covariance (ANOCOV) on ranks tests are recommended.
"EPA/600/3-89/037." "March 1989."