Optimizing Solution in Decision Supporting System for River Basin Management Consisting of a Reservoir System
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- @Article{ngamsert:2023:Water,
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author = "Ratsuda Ngamsert and Rapeepat Techarungruengsakul and
Siwa Kaewplang and Rattana Hormwichian and
Haris Prasanchum and Ounla Sivanpheng and Anongrit Kangrang",
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title = "Optimizing Solution in Decision Supporting System for
River Basin Management Consisting of a Reservoir
System",
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journal = "Water",
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year = "2023",
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volume = "15",
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number = "14",
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pages = "Article No. 2510",
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keywords = "genetic algorithms, genetic programming",
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ISSN = "2073-4441",
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URL = "https://www.mdpi.com/2073-4441/15/14/2510",
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DOI = "doi:10.3390/w15142510",
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abstract = "Decision support systems tackle problems and require
systematic planning. They consider physical data,
hydrological data, and sediment levels to achieve
efficiency and adaptability in various situations.
Therefore, this research aims to identify alternative
engineering choices for the management of a river basin
with a single reservoir system. Optimisation
techniques, including marine predator algorithm (MPA),
genetic algorithm (GA), genetic programming (GP), tabu
search (TS), and flower pollination algorithm (FPA),
were applied to find the optimal reservoir rule curves
using a reservoir simulation model. The study focused
on the Ubolratana Reservoir in Thailand's Khon Kaen
Province, considering historic inflow data, water
demand, hydrologic and physical data, and sedimentation
volume. Four scenarios were considered: normal water
scarcity, high water scarcity, normal excess water, and
high excess water. The optimal rule curves derived from
the reservoir simulation model, incorporating
sedimentation and hedging rule (HR) criteria, were
found to be the best engineering choices. In the normal
and high water scarcity scenarios, they minimised the
average water shortage to 95.558 MCM/year, with the
lowest maximum water shortage 693.000 MCM/year.
Similarly, in the normal and high excess water
scenarios, the optimal rule curves minimised the
average excess water, resulting in a minimum overflow
of 1087.810 MCM/year and the lowest maximum overflow
4105.660 MCM/year. These findings highlight the
effectiveness of integrating optimisation techniques
and a reservoir simulation model to obtain the optimal
rule curves. By considering sedimentation and
incorporating HR criteria, the selected engineering
alternatives demonstrated their ability to minimise
water shortage and excess water. This contributes to
improved water resource management and decision-making
in situations of scarcity and excess.",
-
notes = "also known as \cite{w15142510}",
- }
Genetic Programming entries for
Ratsuda Ngamsert
Rapeepat Techarungruengsakul
Siwa Kaewplang
Rattana Hormwichian
Haris Prasanchum
Ounla Sivanpheng
Anongrit Kangrang
Citations