Case Studies
Jan 17, 2019

Multicriteria Decision Analysis of Drinking Water Source Selection in Southwestern Bangladesh

Publication: Journal of Water Resources Planning and Management
Volume 145, Issue 4

Abstract

Decision analysis methods provide opportunities to explore alternatives for drinking water resources in impoverished, rural regions of developing countries. With varying success, southwestern Bangladesh communities currently use multiple drinking water sources, including rainwater harvesting, ponds, pond sand filters, managed aquifer recharge (MAR), and tubewells. This study uses a variety of multicriteria decision analysis (MCDA) methods to assess the probable success of these drinking water sources based on various technical, economic, social, and environmental factors. Data include an assortment of physical and social sources including focus group interviews, surveys, and water quality measurements. Additionally, the MCDA methods (multiple attribute value theory, analytic hierarchy process, ELECTRE I, and ELECTRE III) are informed by preferences from three stakeholders—locals, nongovernmental organizations, and environmental science academics—to ensure proper weighting of criteria for success. Across all MCDA methods, we find that rainwater harvesting is the most likely to succeed as a reliable drinking water source in the region. Conversely, MAR is the least preferred alternative. Sensitivity analyses suggest a robust ranking order that is relatively insensitive to model parameters, including water source performance score and stakeholder weighting, across all criteria categories. This case study demonstrates how decision modeling and alternative assessment can be the first step to reach sustainable solutions in complex water management problems.

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Acknowledgments

This study was supported by the Office of Naval Research Grant No. N00014-11-1-0683. This material is also based on work supported by the National Science Foundation Graduate Fellowship under Grant No. 1445197. We would also like to thank the anonymous reviewers for their careful reading of our manuscript and their many insightful comments and suggestions. Data and R code used in this study are available at https://github.com/chelspeters7/BanglaMCDA.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 145Issue 4April 2019

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Received: Nov 22, 2017
Accepted: Aug 7, 2018
Published online: Jan 17, 2019
Published in print: Apr 1, 2019
Discussion open until: Jun 17, 2019

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Postdoctoral Researcher, Dept. of Civil and Environmental Engineering, Vanderbilt Univ., Nashville, TN 37235-1831 (corresponding author). ORCID: https://orcid.org/0000-0001-8668-9790. Email: [email protected]; [email protected]
Hiba Baroud, Ph.D., A.M.ASCE
Assistant Professor, Dept. of Civil and Environmental Engineering, Vanderbilt Univ., Nashville, TN 37235-1831.
George M. Hornberger, Ph.D.
Director, Vanderbilt Institute for Energy and Environment, Vanderbilt Univ., Nashville, TN 37235-1831.

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