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Emergency Repair Scope Partition of City Water Distribution Network: a Novel Approach Considering the Node Importance

Author

Listed:
  • Fei Wang

    (China Three Gorges University
    China Three Gorges University)

  • Xia-zhong Zheng

    (China Three Gorges University
    China Three Gorges University)

  • Shu Chen

    (China Three Gorges University
    China Three Gorges University)

  • Jian-Lan Zhou

    (Huazhong University of Science & Technology)

Abstract

The timely repair of City Water Distribution System, a basic guarantee for the life of city residents, requires a reasonable supervision area partition of the City Water Distribution Network (CWDN). In this paper, a graph-theoretic and multi-objective approach for the partition of CWDN is presented. The proposed framework is mainly based on rescue distance and extreme workload of the same area. The rescue distance is expressed by effective distance, which is calculated by the adjustment of straight line distance and seeking smallest value. Extreme workload refers to the average importance of failure nodes belonging to a same crew and needing to be placed in balance. The node importance is coupled with node function importance and node structure importance, and they are calculated using knowledge of Graph Theory. This approach can finish the emergency repair scope partition quickly and easily since it does not rely on precise hydraulic simulation which requires complex calibration processes and computation, while remaining meaningful from a physical and topological point of view. The method is also applied to the analysis of a CWDN and successfully tested, with the result that there emerged a 7.83% decrease of the rescue distance. In addition, the balance of extreme workload was found to be three times higher than the previous.

Suggested Citation

  • Fei Wang & Xia-zhong Zheng & Shu Chen & Jian-Lan Zhou, 2017. "Emergency Repair Scope Partition of City Water Distribution Network: a Novel Approach Considering the Node Importance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(12), pages 3779-3794, September.
    • Handle: RePEc:spr:waterr:v:31:y:2017:i:12:d:10.1007_s11269-017-1706-6
    DOI: 10.1007/s11269-017-1706-6
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    References listed on IDEAS

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    Cited by:

    1. Tornyeviadzi, Hoese Michel & Owusu-Ansah, Emmanuel & Mohammed, Hadi & Seidu, Razak, 2022. "A systematic framework for dynamic nodal vulnerability assessment of water distribution networks based on multilayer networks," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    2. Mehryar, Mehdi & Hafezalkotob, Ashkan & Azizi, Amir & Sobhani, Farzad Movahedi, 2023. "Dynamic zoning of the network using cooperative transmission and maintenance planning: A solution for sustainability of water distribution networks," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    3. C. Giudicianni & A. Nardo & R. Greco & A. Scala, 2021. "A Community-Structure-Based Method for Estimating the Fractal Dimension, and its Application to Water Networks for the Assessment of Vulnerability to Disasters," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(4), pages 1197-1210, March.
    4. Jinping Zhang & Hongbin Li & Xixi Shi & Yang Hong, 2019. "Wavelet-Nonlinear Cointegration Prediction of Irrigation Water in the Irrigation District," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2941-2954, June.
    5. Wang, Fei & Zheng, Xia-zhong & Li, Nan & Shen, Xuesong, 2019. "Systemic vulnerability assessment of urban water distribution networks considering failure scenario uncertainty," International Journal of Critical Infrastructure Protection, Elsevier, vol. 26(C).
    6. Jiajia Wu & Donghui Ma & Wei Wang & Zhao Han, 2020. "Research on Sensor Placement for Disaster Prevention in Water Distribution Networks for Important Users," Sustainability, MDPI, vol. 12(2), pages 1-16, January.

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