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Multi-objective Optimization of Three Gorges Reservoir Based on Ecological Flow Constraints
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Ding-guo JIANG1, Yun KE2, Jing-qiao MAO3, Pei-pei ZHANG3, Yi-qing GONG3
Water Resources and Power | 2023, 41(12) : 53 - 57
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Water Resources and Power | 2023, 41(12): 53-57
HYDROLOGICAL FORECAST AND OPTIMAL SCHEDULING
Multi-objective Optimization of Three Gorges Reservoir Based on Ecological Flow Constraints
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Ding-guo JIANG1, Yun KE2, Jing-qiao MAO3, Pei-pei ZHANG3, Yi-qing GONG3
Affiliations
  • 1.China Three Gorges Corporation, Wuhan 430010, China
  • 2.PowerChina Northwest Engineering Corporation Limited, Xi’an 710065, China
  • 3.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
Published: 2023-12-25 doi: 10.20040/j.cnki.1000-7709.2023.20230453
Outline
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Exerting huge economic and social benefits, the construction and operation of water conservancy projects have an impact on the ecological environment of upstream and downstream reaches. However, it is also an effective way to regulate and improve the ecological environment by rationally optimizing the water storage and release process of the reservoir and carrying out targeted ecological management of the reservoir. From the perspective of ecological flow constraints, through data investigation and analysis, the appropriate flow ranges of the Yangtze River main stream conducive to the natural reproduction of the four major Chinese carps, Chinese sturgeon and the control of estuary salt tide intrusion were determined. Then, the optimal scheduling model of the Three Gorges Reservoir was established considering the downstream ecological flow constraints. Multi-objective reservoir ecological dispatching model is emphasized. The results show that the ecological flow of the lower reaches of the Three Gorges Reservoir was basically guaranteed during the wet season from May to September, but the ecological water shortage was prone to occur in different degrees in other seasons, especially in the dry years. For the optimal scheduling, the power generation and the monthly maximum ecological water shortage rate showed a positive relationship, indicating that the two scheduling objectives could not reach the optimum simultaneously. The power generation of the optimal scheduling in a typical dry year was between 80.2 billion and 83.5 billion kW·h, and the monthly maximum ecological water shortage rate was between 24% and 48%. The optimal scheme obtained by multi-objective dispatching can basically coordinate the ecological and power generation needs. On the basis of the downstream ecological flow needs, the power generation benefits increases by 4.07% compared to the design scheme.

ecological flow  /  multi-objective optimization  /  Three Gorges Reservoir  /  ecological operation
Ding-guo JIANG, Yun KE, Jing-qiao MAO, Pei-pei ZHANG, Yi-qing GONG. Multi-objective Optimization of Three Gorges Reservoir Based on Ecological Flow Constraints[J]. Water Resources and Power, 2023 , 41 (12) : 53 -57 . DOI: 10.20040/j.cnki.1000-7709.2023.20230453
Year 2023 volume 41 Issue 12
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20230453
  • Receive Date:2023-03-25
  • Online Date:2026-01-28
  • Published:2023-12-25
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History
  • Received:2023-03-25
  • Revised:2023-04-18
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Affiliations
    1.China Three Gorges Corporation, Wuhan 430010, China
    2.PowerChina Northwest Engineering Corporation Limited, Xi’an 710065, China
    3.College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

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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