MULTI-OBJECTIVE RISK ASSESSMENT ON WATER RESOURCES OPTIMAL ALLOCATION

被引:2
|
作者
Gu, Wenquan [1 ]
Shao, Dongguo
Huang, Xianfeng [2 ]
Dai, Tao
机构
[1] Wuhan Univ, State Key Lab Water Resource & Hydropower Engn Sc, Wuhan 430072, Peoples R China
[2] Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing, Jiangsu, Peoples R China
关键词
water resources optimal allocation; multi-objective risk assessment; stochastic simulation technology; the middle route project of South-to-North water diversion; the middle and lower reaches of Hanjiang River;
D O I
10.1007/978-3-540-89465-0_64
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Based on clarifying the meaning of risk in water resources allocation and risk factors that may affect the allocation, some main risk factors are identified. A risk analysis model of multi-objective water resources allocation is proposed. The method of risk evaluation in water resources allocation is also put forward based on the stochastic simulation technology. Case study on the middle and lower reaches of the Hanjiang River indicates that the implementation of the project of diversion water from Changjiang River to Hanjiang River could obviously increase the comprehensive benefit during the low water year and median flow year and decrease the risk of disadvantage effects such as water deficit caused by the middle route project of South-to-North water diversion.
引用
收藏
页码:361 / +
页数:2
相关论文
共 50 条
  • [31] Optimal allocation of water resources based on an improved quantum-inspired multi-objective evolutionary algorithm
    Zhang Tuo
    Wang Jianping
    [J]. 2014 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID 2014), VOL 1, 2014, : 234 - 237
  • [32] Application and Solution of Multi-objective Model for Optimal Allocation of Water Resources with Two-story Structure
    Gui Faliang
    Ping, Ouyang
    Lei, Yu
    [J]. CCDC 2009: 21ST CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-6, PROCEEDINGS, 2009, : 54 - +
  • [33] Bi-level multi-objective regional water resources optimal allocation under hybrid uncertainty
    Tu Y.
    Shi H.
    Qin J.
    Zhou X.
    [J]. Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2023, 43 (08): : 2428 - 2446
  • [34] Multi-objective comprehensive assessment model for water resources system
    He, Xin-Chun
    Li, Xing-Pin
    Liu, Wei-Lin
    [J]. Shuili Xuebao/Journal of Hydraulic Engineering, 2009, 40 (09): : 1033 - 1039
  • [35] Multi-Water Resources Optimal Allocation Based on Multi-Objective Uncertain Chance-Constrained Programming Model
    Li, Xiaona
    Wang, Xiaosheng
    Guo, Haiying
    Ma, Weimin
    [J]. WATER RESOURCES MANAGEMENT, 2020, 34 (15) : 4881 - 4899
  • [36] Multi-Water Resources Optimal Allocation Based on Multi-Objective Uncertain Chance-Constrained Programming Model
    Xiaona Li
    Xiaosheng Wang
    Haiying Guo
    Weimin Ma
    [J]. Water Resources Management, 2020, 34 : 4881 - 4899
  • [37] Developing a surface water resources allocation model under risk conditions with a multi-objective optimization approach
    Aalami, Mohammad Taghi
    Nourani, Vahid
    Fazaeli, Hamid
    [J]. WATER SUPPLY, 2020, 20 (04) : 1167 - 1177
  • [38] Optimal deployment of water resources based on multi-objective genetic algorithm
    Chen, Nan-Xiang
    Li, Yue-Peng
    Xu, Chen-Guang
    [J]. Shuili Xuebao/Journal of Hydraulic Engineering, 2006, 37 (03): : 308 - 313
  • [39] Multi-objective optimal allocation of water resources based on improved marine predator algorithm and entropy weighting method
    Zhaocai Wang
    Haifeng Zhao
    Xiaoguang Bao
    Tunhua Wu
    [J]. Earth Science Informatics, 2024, 17 : 1483 - 1499
  • [40] Multi-objective optimal allocation of water resources based on improved marine predator algorithm and entropy weighting method
    Wang, Zhaocai
    Zhao, Haifeng
    Bao, Xiaoguang
    Wu, Tunhua
    [J]. EARTH SCIENCE INFORMATICS, 2024, 17 (02) : 1483 - 1499