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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Copyright © 2004 American Society of Civil Engineers.
History
Received: Feb 28, 2003
Accepted: Oct 27, 2003
Published online: Jun 15, 2004
Published in print: Jul 2004
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