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Multi-objective Optimization of Ecological Water Supplement Scheduling for Gate and Dam Groups for Suqian Yellow River Old Course Based on Genetic Algorithm
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Chuan-long LI1, Yi-cheng GU1, Si-ru WANG1, Ji-cheng HU2, Mi-xue LIU1, Yi YAO1, Ya-qian SONG1
Water Resources and Power | 2026, 44(1) : 212 - 216
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Water Resources and Power | 2026, 44(1): 212-216
Multi-objective Optimization of Ecological Water Supplement Scheduling for Gate and Dam Groups for Suqian Yellow River Old Course Based on Genetic Algorithm
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Chuan-long LI1, Yi-cheng GU1, Si-ru WANG1, Ji-cheng HU2, Mi-xue LIU1, Yi YAO1, Ya-qian SONG1
Affiliations
  • 1.The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China
  • 2.Suqian Urban River Management Center, Suqian 223800, China
Published: 2026-01-25 doi: 10.20040/j.cnki.1000-7709.2026.20251460
Outline
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The joint optimal operation of multi-source gate-dam groups is the key to balance multiple objectives like water level, water quality, water efficiency, and costs in water network scheduling. This study focuses on the cascade scheduling system of the Suqian Yellow River Old Course. Considering water level control, water quality compliance, cost reduction, and efficiency improvement, a multi-source gate-dam joint scheduling optimization model was established by coupling a hydrodynamic-water quality model with the NSGA-Ⅱ algorithm. Using the mechanism of "scheme generation-process simulation-effect evaluation-feedback optimization", the Pareto optimal solution set was iteratively solved. The comprehensive optimal scheduling solution was determined by the entropy weight method. The results show that the significant multi-objective conflicts among water level, water quality, efficiency, and cost in the study area; The cost and efficiency are inversely constrained; The relationship between water quality and water level is non-monotonic; There is a positive synergy interval between efficiency and water level; The cost and water quality mutually restrict each other; The proposed model can effectively balance these four objectives, with the comprehensive optimal solution yielding values of 0, 0.09, 0.24, and 0.12, respectively, achieving integrated optimization compared to single-objective solutions. The proposed method can provide crucial support for solving optimal scheduling problems involving multiple water sources, projects, and objectives.

Yellow River Old Course  /  gate-dam groups joint operation  /  hydrodynamic-water quality coupling model  /  multi-objective optimization model  /  NSGA-Ⅱ algorithm  /  entropy weight method
李传龙, 顾一成, 王思如, 胡继成, 刘米雪, 姚轶, 宋亚倩. 基于遗传算法的宿迁黄河故道闸坝群生态补水调度多目标优化研究. 水电能源科学, 2026 , 44 (1) : 212 -216 . DOI: 10.20040/j.cnki.1000-7709.2026.20251460
Chuan-long LI, Yi-cheng GU, Si-ru WANG, Ji-cheng HU, Mi-xue LIU, Yi YAO, Ya-qian SONG. Multi-objective Optimization of Ecological Water Supplement Scheduling for Gate and Dam Groups for Suqian Yellow River Old Course Based on Genetic Algorithm[J]. Water Resources and Power, 2026 , 44 (1) : 212 -216 . DOI: 10.20040/j.cnki.1000-7709.2026.20251460
Year 2026 volume 44 Issue 1
71
9
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Article Info
doi: 10.20040/j.cnki.1000-7709.2026.20251460
  • Receive Date:2025-08-19
  • Online Date:2026-09-28
  • Published:2026-01-25
Article Data
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History
  • Received:2025-08-19
  • Revised:2025-09-29
  • Accepted:2025-10-05
Funding
Affiliations
    1.The National Key Laboratory of Water Disaster Prevention, Nanjing Hydraulic Research Institute, Nanjing 210029, China
    2.Suqian Urban River Management Center, Suqian 223800, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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