Real‐Time Sampling Strategies for Estimating Nutrient Loadings
Publication: Journal of Water Resources Planning and Management
Volume 116, Issue 6
Abstract
An investigation of water‐quality sampling strategies, applicable to real‐time sampling programs, is presented. The sampling strategies are designed to be a component of the data‐collection process for the determination of the annual mass load of pollutants, or nutrients, in a river. As such, the sampling schemes are intended for use in situations where stream‐flow data are collected regularly, but concentration data are collected during only a limited number of time periods. The sampling strategies are evaluated through the use of a Monte Carlo experiment that created synthetic stream‐flow and associated nutrient concentration data. The performance of each sampling strategy is evaluated and compared in terms of an accuracy measure and a precision measure to establish the relative merits of the proposed schemes. A sampling scheme incorporating stratified sampling with realtime updating of the sampling characteristics is found to give the best estimate of the annual mass load.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 116 • Issue 6 • November 1990
Pages: 727 - 741
Copyright
Copyright © 1990 ASCE.
History
Published online: Nov 1, 1990
Published in print: Nov 1990
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