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Advances in Civil Engineering
Volume 2018, Article ID 6474870, 10 pages
https://doi.org/10.1155/2018/6474870
Research Article

Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms

1Faculty of Engineering, Mahasarakham University, Kantharawichai, Mahasarakham 44150, Thailand
2Faculty of Engineering, Rajamangala University of Technology Isan, Khon Kaen Campus, Muang, Khon Kaen 40000, Thailand

Correspondence should be addressed to Anongrit Kangrang; ht.ca.usm@k.tirgnona

Received 28 July 2017; Revised 21 October 2017; Accepted 6 November 2017; Published 11 February 2018

Academic Editor: Ravipudi V. Rao

Copyright © 2018 Anongrit Kangrang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Optimal rule curves are necessary guidelines in the reservoir operation that have been used to assess performance of any reservoir to satisfy water supply, irrigation, industrial, hydropower, and environmental conservation requirements. This study applied the conditional genetic algorithm (CGA) and the conditional tabu search algorithm (CTSA) technique to connect with the reservoir simulation model in order to search optimal reservoir rule curves. The Ubolrat Reservoir located in the northeast region of Thailand was an illustrative application including historic monthly inflow, future inflow generated by the SWAT hydrological model using 50-year future climate data from the PRECIS regional climate model in case of B2 emission scenario by IPCC SRES, water demand, hydrologic data, and physical reservoir data. The future and synthetic inflow data of reservoirs were used to simulate reservoir system for evaluating water situation. The situations of water shortage and excess water were shown in terms of frequency magnitude and duration. The results have shown that the optimal rule curves from CGA and CTSA connected with the simulation model can mitigate drought and flood situations than the existing rule curves. The optimal future rule curves were more suitable for future situations than the other rule curves.