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Modularity-Based Procedure for Partitioning Water Distribution Systems into Independent Districts

Author

Listed:
  • Carlo Ciaponi

    (University of Pavia)

  • Enrico Murari

    (University of Pavia)

  • Sara Todeschini

    (University of Pavia)

Abstract

A proper division of a Water Distribution System (WDS) into District Metered Areas (DMAs) provides important management benefits particularly with regard to leakage detection through water balances, control and optimization of pressure so as to reduce leakage, implementation of monitoring, warning and emergency acting systems against accidental or intentional water contamination. This paper presents a new methodology that combines a suitable modularity-based algorithm for the automated creation of DMA boundaries and convincing practical criteria for the DMA design. A further plus of the proposed methodology is its ability to identify many technically feasible solutions that can be subsequently economically assessed. The successful applications of the proposed methodology to a real case study, already tested by other authors, has proven its effectiveness for the DMA design in existing water distribution systems.

Suggested Citation

  • Carlo Ciaponi & Enrico Murari & Sara Todeschini, 2016. "Modularity-Based Procedure for Partitioning Water Distribution Systems into Independent Districts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 2021-2036, April.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:6:d:10.1007_s11269-016-1266-1
    DOI: 10.1007/s11269-016-1266-1
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    Citations

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    Cited by:

    1. Carlo Giudicianni & Manuel Herrera & Armando Nardo & Kemi Adeyeye, 2020. "Automatic Multiscale Approach for Water Networks Partitioning into Dynamic District Metered Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 835-848, January.
    2. Katarzyna Pietrucha-Urbanik & Barbara Tchórzewska-Cieślak & Mohamed Eid, 2020. "Water Network-Failure Data Assessment," Energies, MDPI, vol. 13(11), pages 1-14, June.
    3. Dawid Szpak, 2020. "Method for Determining the Probability of a Lack of Water Supply to Consumers," Energies, MDPI, vol. 13(20), pages 1-16, October.
    4. Marius Møller Rokstad, 2021. "Optimisation of Fixed-Outlet and Flow-Modulated Pressure Reduction Measures in Looped Water Distribution Networks Constrained by Fire-Fighting Capacity Requirements," IJERPH, MDPI, vol. 18(13), pages 1-22, July.
    5. Taehyeon Kim & Yoojin Oh & Jayong Koo & Doguen Yoo, 2022. "Evaluation of Priority Control District Metered Area for Water Distribution Networks Using Water Quality-Related Big Data," Sustainability, MDPI, vol. 14(12), pages 1-19, June.
    6. Katarzyna Pietrucha-Urbanik & Janusz R. Rak, 2020. "Consumers’ Perceptions of the Supply of Tap Water in Crisis Situations," Energies, MDPI, vol. 13(14), pages 1-20, July.
    7. 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.

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