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Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms
Joint Authors
Kangrang, Anongrit
Prasanchum, Haris
Hormwichian, Rattana
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-11
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Kangrang, Anongrit& Prasanchum, Haris& Hormwichian, Rattana. 2018. Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms. Advances in Civil Engineering،Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1116411
Modern Language Association (MLA)
Kangrang, Anongrit…[et al.]. Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms. Advances in Civil Engineering No. 2018 (2018), pp.1-10.
https://search.emarefa.net/detail/BIM-1116411
American Medical Association (AMA)
Kangrang, Anongrit& Prasanchum, Haris& Hormwichian, Rattana. Development of Future Rule Curves for Multipurpose Reservoir Operation Using Conditional Genetic and Tabu Search Algorithms. Advances in Civil Engineering. 2018. Vol. 2018, no. 2018, pp.1-10.
https://search.emarefa.net/detail/BIM-1116411
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1116411