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RECORD NUMBER: 40 OF 104

OLS Field Name OLS Field Data
Main Title Economics of sample compositing as a screening tool in ground water quality monitoring. /
Author Rajagopal, R. ; Williams, L. R.
Other Authors
Author Title of a Work
Williams, L. W.
Ward, C. H.
CORP Author Environmental Monitoring Systems Lab., Las Vegas, NV.
Publisher U.S. Environmental Protection Agency, Office of Research and Development, Environmental Monitoring Systems Laboratory,
Year Published 1989
Report Number EPA/600/J-89/044
Stock Number PB89-197453
Additional Subjects Ground water ; Water quality ; Economic analysis ; Site surveys ; Composts ; Water wells ; Cost effectiveness ; Waste disposal ; Concentration(Composition) ; Reprints ; Environmental monitoring ; Water pollution sampling
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB89-197453 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 01/01/1988
Collation 10 pages ; 28 cm
Abstract
Recent advances in high throughput/automated compositing with robotics/field-screening methods offer seldom-tapped opportunities for achieving cost-reduction in ground water quality monitoring programs. An economic framework is presented for the evaluation of sample compositing as a screening tool in ground water quality monitoring. When the likelihood of occurrence of a contaminant in a well is very small, the use of sample compositing instead of routine exhaustive sampling will lead to reduction in analytical efforts. Such reduction will be maximum when there are no contaminated wells in the network. An N-fold reduction will result when none of the wells in a network of N wells are contaminated. When 25% or more wells in a network are contaminated, the use of sample compositing will require, at the most, an additional 50% analytical effort compared to exhaustive sampling. A quantitative ratio (fl) of laboratory analytical cost to that of well installation and field sampling costs and a ratio (f2) of the expected number of contaminated wells to that of the total number of wells in the network. Several useful mathematical results of primary interest are derived and illustrated with case examples in the paper. Selected areas for further research are also outlined.
Notes
"Journal article." "EPA/600/J-89/044." Microfiche.