TECHNICAL PAPERS
Dec 15, 2003

Groundwater Monitoring Network Optimization with Redundancy Reduction

Publication: Journal of Water Resources Planning and Management
Volume 130, Issue 1

Abstract

Three optimization models are proposed to select the best subset of stations from a large groundwater monitoring network: (1) one that maximizes spatial accuracy; (2) one that minimizes temporal redundancy; and (3) a model that both maximizes spatial accuracy and minimizes temporal redundancy. The proposed optimization models are solved with simulated annealing, along with an algorithm parametrization using statistical entropy. A synthetic case-study with 32 stations is used to compare results of the proposed models when a subset of 17 stations are to be chosen. The first model tends to distribute the stations evenly in space; the second model clusters stations in areas of higher temporal variability; and results of the third model provide a compromise between the first two, i.e., spatial distributions that are less regular in space, but also less clustered. The inclusion of both temporal and spatial information in the optimization model, as embodied in the third model, contributes to selection of the most relevant stations.

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Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 130Issue 1January 2004
Pages: 33 - 43

History

Received: Mar 20, 2002
Accepted: Oct 1, 2002
Published online: Dec 15, 2003
Published in print: Jan 2004

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Authors

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L. M. Nunes
Environmental Engineer, Assistant, Faculty of Marine and Environmental Sciences, Univ. of Algarve, Campus de Gambelas, 8000 Faro, Portugal.
M. C. Cunha
Civil Engineer, Assistant Professor, Civil Engineer Dept., Univ. of Coimbra, Pinhal de Marrocos, 3030 Coimbra, Portugal.
L. Ribeiro
Mining Engineer, Assistant Professor, Instituto Superior Técnico, Lisbon Technical Univ., Av. Rovisco Pais, 1096 Lisboa Codex, Portugal.

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