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Development of an Optimal Water Allocation Model for Reservoir System Operationoa mark
  • Lee, Eunkyung ;
  • Ji, Jungwon ;
  • Lee, Seonmi ;
  • Yoon, Jeongin ;
  • Yi, Sooyeon ;
  • Yi, Jaeeung
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Publication Year
2023-10-01
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Citation
Water (Switzerland), Vol.15
Keyword
effective storage ratioHan River Basinlinear programmingreservoir optimizationwater allocation modelwater resources management
Mesh Keyword
Effective storage ratioHan riverHan river basinLinear-programmingReservoir optimizationsReservoir systemsRiver basinsSystems operationWater allocation modelsWater resources management
All Science Classification Codes (ASJC)
BiochemistryGeography, Planning and DevelopmentAquatic ScienceWater Science and Technology
Abstract
Allocating adequate water supplies under the increasing frequency and severity of droughts is a challenge. This study develops an optimal reservoir system operation method to allocate water supplies from upstream reservoirs to meet the downstream water requirements; validates the proposed optimization model through the system operation of upstream reservoirs; and proposes new water supply policies that incorporate a transformed hydropower reservoir with an add-on water supply function and two multipurpose reservoirs. We use linear programming to develop an optimal water allocation model. This model provides an operational strategy for managing upstream reservoirs with different storage capacities. By integrating the effective storage ratio of each reservoir into the allocation estimation, the model ensures an optimal distribution of downstream water requirements. The results indicated well-balanced, effective storage ratios among the Chungju, Soyanggang, and Hwacheon Reservoirs across varying hydrological conditions. Specifically, during drought years, the average effective storage rates were 20.5%, 20.6%, and 19.07%, respectively. In normal years, these figures, respectively, were 59.3%, 68.6%, and 52.4%, while in wet years, the rates stood at 64.08%, 62.90%, and 54.61%. This study enriches the reservoir operation literature by offering adaptable solutions for collaborative reservoir management and presents efficient strategies for reservoir operations.
ISSN
2073-4441
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33761
DOI
https://doi.org/10.3390/w15203555
Fulltext

Type
Article
Funding
This work was supported by the Korea Environment Industry & Technology Institute (KEITI) through the Water Management Project for Drought funded by the Korea Ministry of Environment (MOE) (2022003610004).
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Department of Civil Systems Engineering
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