Leakage Risk Assessment of Urban Water Distribution Network Based on Unascertained Measure Theory and Game Theory Weighting Method

被引:1
|
作者
Xiong, Chuyu [1 ]
Wang, Jiaying [1 ]
Gao, Wei [2 ]
Huang, Xianda [2 ]
Tao, Tao [1 ]
机构
[1] Tongji Univ, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China
[2] Wuxi Water Grp Co Ltd, Wuxi 214031, Peoples R China
关键词
water distribution network; leakage control; risk assessment; unascertained measure theory; game theory;
D O I
10.3390/w15244294
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Assessing the risk of water leakage within urban water distribution networks (UWDN) is crucial prior to implementing any control measures. Conducting a risk assessment facilitates the development of effective water leakage management plans. By comprehensively analyzing the probability and loss factors that contribute to the risk of leakage in UWDN, this paper presents an evaluation index system for pipeline leakage risk. This index system utilized both quantitative and qualitative data on influencing factors derived from an actual pipeline network. In order to determine the precise level of pipeline leakage risk, an index theory-based pipeline leakage risk evaluation model was established. This model consisted of a single-index measure function and a multi-index comprehensive measure vector. The combined weight of evaluation indices through game theory was used to determine the weight of each index, thereby minimizing the negative effects of a single weight determination method. A risk assessment model that evaluated the leakage risk of specific pipelines was constructed based on actual data from the water distribution network in a certain area of China. The analysis showed that the risk of pipeline leakage in this area was mainly classified as a third-level risk, which is consistent with the actual evaluation results obtained from field visits.
引用
收藏
页数:23
相关论文
共 50 条
  • [31] A Novel Method for Predicting Rockburst Intensity Based on an Improved Unascertained Measurement and an Improved Game Theory
    Liu, Zhe
    Chen, Jianhong
    Zhao, Yakun
    Yang, Shan
    MATHEMATICS, 2023, 11 (08)
  • [32] Theory and assessment method of water resources risk
    Wang H.
    Qian L.
    Zhao Z.
    Wang Y.
    Shuili Xuebao/Journal of Hydraulic Engineering, 2019, 50 (08): : 980 - 989
  • [33] A new method of bid evaluation for renovation projects: Based on unascertained measure theory and entropy weight
    Li, Wenlong
    Li, Qin
    Liu, Yijun
    Wang, Sunmeng
    Pei, Xingwang
    PLOS ONE, 2022, 17 (07):
  • [34] Risk assessment of gas explosion in coal mines based on game theory and Bayesian network
    基于博弈论−贝叶斯网络的煤矿瓦斯爆炸风险评估
    Li, Min (cumtlimin@163.com), 1600, China Coal Society (49):
  • [35] Application of Extension Theory Based on Optimal Combination Weighting Method in Risk Assessment on Geological Hazards
    Wang, Xialin
    Yan, Baowen
    VIBRATION, STRUCTURAL ENGINEERING AND MEASUREMENT II, PTS 1-3, 2012, 226-228 : 2284 - 2291
  • [36] Risk assessment method of coal and gas outburst based on improved comprehensive weighting and cloud theory
    Zhang, Chunhua
    Jiao, Dengming
    Dong, Ziwen
    Zhang, Hongyu
    ENERGY EXPLORATION & EXPLOITATION, 2022, 40 (02) : 777 - 799
  • [37] Operation Safety Risk Assessment of Water Distribution Networks Based on the Combined Weighting Method (CWM)
    Wei Liu
    Wanli Cui
    Mingji Chen
    Qunfang Hu
    Zhaoyang Song
    KSCE Journal of Civil Engineering, 2023, 27 : 2116 - 2130
  • [38] Study on Charges Distribution of the Expressway Network Based on the Game Theory
    Dai Hang
    Du Chengxiang
    Tian Shaobo
    PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INNOVATION AND MANAGEMENT, VOLS I AND II, 2009, : 905 - 910
  • [39] Water Richness Evaluation of Coal Roof Aquifers Based on the Game Theory Combination Weighting Method and the TOPSIS Model
    Shi, Longqing
    Li, Yu
    Han, Jin
    Yang, Xiao
    MINE WATER AND THE ENVIRONMENT, 2024, 43 (04) : 691 - 706
  • [40] Operation Safety Risk Assessment of Water Distribution Networks Based on the Combined Weighting Method (CWM)
    Liu, Wei
    Cui, Wanli
    Chen, Mingji
    Hu, Qunfang
    Song, Zhaoyang
    KSCE JOURNAL OF CIVIL ENGINEERING, 2023, 27 (05) : 2116 - 2130