TECHNICAL PAPERS
Jun 15, 2004

Randomized Stratified Sampling Methodology for Water Quality in Distribution Systems

Publication: Journal of Water Resources Planning and Management
Volume 130, Issue 4

Abstract

Water utilities rely on samples collected from the distribution system to assure the quality of drinking water delivered to customers. However, few utilities employ a systematic sampling protocol to collect these samples. This paper presents a methodology that involves random selection of sample locations and time of sample collection to minimize bias and variance in results. For a given sampling goal, system-specific knowledge is incorporated into the sampling design through definition of appropriate stratification variables, selection of sample size, and sample allocation. The sampling designs produced by this methodology provide a measurement of water quality along with an estimate of statistical precision, with insights into significant factors affecting water quality. The methodology is illustrated using a synthetic data set from a distribution system water quality model to assess sampling designs and results for a mid-sized water utility.

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References

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Information & Authors

Information

Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 130Issue 4July 2004
Pages: 330 - 338

History

Received: Feb 28, 2003
Accepted: Oct 27, 2003
Published online: Jun 15, 2004
Published in print: Jul 2004

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Authors

Affiliations

Vanessa L. Speight, P.E.
Project Engineer, Malcolm Pirnie Inc., 8790 Governor’s Hill Dr., Suite 101, Cincinnati, OH 45249.
William D. Kalsbeek
Professor, Dept. of Biostatistics, Univ. of North Carolina at Chapel Hill, CB 2400, Chapel Hill, NC 27599-2400.
Francis A. DiGiano, P.E., M.ASCE
Professor, Dept. of Environmental Sciences and Engineering, Univ. of North Carolina at Chapel Hill, CB 7431, Chapel Hill, NC 27599-7431.

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