Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title Network Design Factors for Assessing Temporal Variability in Ground-Water Quality.
Author Barcelona, M. J. ; Lettenmaier, D. P. ; Schock, M. R. ;
CORP Author Illinois State Water Survey Div., Champaign. Aquatic Chemistry Section. ;Washington Univ., Seattle. Dept. of Civil Engineering.;Environmental Monitoring Systems Lab., Las Vegas, NV.
Publisher c1989
Year Published 1989
Report Number EPA-R-812165; EPA/600/J-89/022;
Stock Number PB89-236434
Additional Subjects Ground water ; Water quality ; Waste disposal ; Sites ; Assessments ; Experimental design ; Ions ; Nutrients ; Seasonal variations ; Design criteria ; Quality assurance ; Quality control ; Sources ; Time series analysis ; Reprints ; Water pollution sampling ; Temporal distribution ; Water pollution detection ; Environmental transport
Internet Access
Description Access URL
Library Call Number Additional Info Location Last
NTIS  PB89-236434 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 12/18/1989
Collation 33p
Benchmark major ions and nutrients data were collected biweekly for about two years at 12 wells at two sites in a shallow sand and gravel aquifer in west-central Illinois. The purpose of the study was to explore the time series properties of ground water quality data collected at a relatively high sampling frequency. A secondary purpose was to determine the relative magnitudes of natural and sampling-related sources of variance in ground-water quality time series. The absence of this kind of information has severely hindered the design of ground-water sampling programs in the past. Results suggest that, for the wells sampled, sampling frequencies much higher than monthly can result in considerable loss of information, and may not be cost effective. Care was taken in the design of the field and laboratory sampling protocol to minimize the effects of measurement error. The data analysis confirmed that this goal was accomplished. In most cases considerably less than five percent of the total variability could be attributed to sampling and analytical error. Because of the relatively short duration of the study (42 biweekly sampling occasions at most wells) it was not possible to identify the magnitude of seasonal variations reliably. (Copyright (c) 1989 Kluwer Academic Publishers.)