Technical Papers
Jul 11, 2023

Stochastic Multistage Multiobjective Water Allocation with Hedging Rules for Multireservoir Systems

Publication: Journal of Water Resources Planning and Management
Volume 149, Issue 9

Abstract

In this study, a multiobjective multistage stochastic mixed-integer quadratic model for water allocation with hedging rules is proposed and investigated. Hedging rules determine different rationing levels among users at certain trigger volumes of reservoirs during droughts. The goal of this study is to provide a water management policy that could alleviate the water shortages caused by droughts and uneven distribution of rainfall in a region with multiple reservoirs. We devise a stochastic mathematical model to determine hedging rules under inflow uncertainty and apply an improved version of the augmented ϵ-constraint method to generate the Pareto frontier of two negatively correlated objectives. A real-world case study on the Taizi River Basin in China and numerical comparisons of the proposed stochastic model with other ways of handling uncertainty used in the literature (1) demonstrate the value of the proposed model; and (2) emphasize the importance of adequately considering the uncertainties and multiobjectives in managing multireservoir systems subject to droughts.

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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request, including network data, inflow data, and other data used.

Acknowledgments

The authors are grateful to three anonymous referees whose suggestions led to a significantly improved paper.

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 149Issue 9September 2023

History

Received: Aug 10, 2022
Accepted: Apr 16, 2023
Published online: Jul 11, 2023
Published in print: Sep 1, 2023
Discussion open until: Dec 11, 2023

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Dept. of Integrated Systems Engineering, Ohio State Univ., 210 Baker Systems Bldg., 1971 Neil Ave., Columbus, OH 43210. ORCID: https://orcid.org/0009-0004-2469-7145. Email: [email protected]
Professor, Dept. of Integrated Systems Engineering, Ohio State Univ., 210 Baker Systems Bldg., 1971 Neil Ave., Columbus, OH 43210 (corresponding author). ORCID: https://orcid.org/0000-0001-5521-1313. Email: [email protected]

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