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Random Walks Partitioning and Network Reliability Assessing in Water Distribution System

Author

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  • Tianwei Mu

    (Donghua University
    Shenyang Jianzhu University)

  • Yan Lu

    (Taizhou University)

  • Haoqiang Tan

    (Taizhou University)

  • Haowen Zhang

    (Taizhou University)

  • Chengzhi Zheng

    (Guangdong Yuegang Water Supply Co.Ltd)

Abstract

A novel network partition model is presented within the water distribution system (WDS). Firstly, random walk community detection (RWCD) is employed to divide WDS into different partitions concerning the average pressure of nodes. Then, network reliability is assessed based on hydraulic reliability estimation (HRE), mechanical reliability estimation (MRE), flow entropy function (FEF), and network resilience (NR), via optimizing boundary pipes by the non-dominated sorting genetic algorithm-II (NSGA-II). Finally, pressure-reducing valves (PRVs) are set to pipes for acquiring optimized partitions. The Open Water Analytics (OWA) toolbox and Matlab-2018b is adopted as a hydraulic calculation tool for these extended period simulations (EPS). Seven cases of WDSs were used to verify the practicability of this model. The results demonstrate that network reliability is improved effectively after partitioning and optimizing. Graphical Abstract

Suggested Citation

  • Tianwei Mu & Yan Lu & Haoqiang Tan & Haowen Zhang & Chengzhi Zheng, 2021. "Random Walks Partitioning and Network Reliability Assessing in Water Distribution System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2325-2341, June.
    • Handle: RePEc:spr:waterr:v:35:y:2021:i:8:d:10.1007_s11269-021-02793-8
    DOI: 10.1007/s11269-021-02793-8
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    References listed on IDEAS

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    Cited by:

    1. Jia, Rui & Du, Kun & Song, Zhigang & Xu, Wei & Zheng, Feifei, 2024. "Scenario reduction-based simulation method for efficient serviceability assessment of earthquake-damaged water distribution systems," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
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    3. Tianwei Mu & Manhong Huang & Shi Tang & Rui Zhang & Gang Chen & Baiyi Jiang, 2022. "Sensor Partitioning Placements via Random Walk and Water Quality and Leakage Detection Models within Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(13), pages 5297-5311, October.

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