IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v191y2019ics0951832018313899.html
   My bibliography  Save this article

Managing water main breaks in distribution networks––A risk-based decision making

Author

Listed:
  • Phan, Hieu Chi
  • Dhar, Ashutosh Sutra
  • Hu, Guangji
  • Sadiq, Rehan

Abstract

Water distribution network (WDN) is an important infrastructure which suffers from failures. A risk-based decision making required for maintaining the integrity of water mains effectively. This paper presents a framework for risk assessment of pipes in a WDN for maintenance prioritization. Because pipe failure can lead to various types of consequences, a fuzzy inference system (FIS) is proposed to aggregate different consequences. The properties of algebraic connectivity (AC) from complex network analysis are used to assess the topological consequence accounting for the change in redundancy of the network and the service disruption due to isolation of nodes. The AC-based approach is found to reasonably correspond to the hydraulic importance of the pipes determined through hydraulic analysis for the most critical pipes. Other consequences such as cost of repair and effects on the community can be determined using relevant consequence parameters such as diameter and are combined with the topological consequence using FIS for risk assessment. Based on the risk analysis, a risk map can be developed, highlighting the pipes with high risk levels for prioritization planning. A relationship between the risk and maximum failure probability of pipes within a network is developed for selecting the thresholds for decision making.

Suggested Citation

  • Phan, Hieu Chi & Dhar, Ashutosh Sutra & Hu, Guangji & Sadiq, Rehan, 2019. "Managing water main breaks in distribution networks––A risk-based decision making," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    • Handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832018313899
    DOI: 10.1016/j.ress.2019.106581
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832018313899
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ress.2019.106581?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. H. Jun & G. Loganathan & J. Kim & S. Park, 2008. "Identifying Pipes and Valves of High Importance for Efficient Operation and Maintenance of Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(6), pages 719-736, June.
    2. Alessandro Pagano & Irene Pluchinotta & Raffaele Giordano & Umberto Fratino, 2018. "Integrating “Hard” and “Soft” Infrastructural Resilience Assessment for Water Distribution Systems," Complexity, Hindawi, vol. 2018, pages 1-16, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rifaai, Talha M. & Abokifa, Ahmed A. & Sela, Lina, 2022. "Integrated approach for pipe failure prediction and condition scoring in water infrastructure systems," Reliability Engineering and System Safety, Elsevier, vol. 220(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. Chen, Weiyi & Zhang, Limao, 2021. "Resilience assessment of regional areas against earthquakes using multi-source information fusion," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    4. Ramos-Salgado, Cristóbal & Muñuzuri, Jesús & Aparicio-Ruiz, Pablo & Onieva, Luis, 2022. "A comprehensive framework to efficiently plan short and long-term investments in water supply and sewer networks," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    5. Chadha, Mayank & Ramancha, Mukesh K. & Vega, Manuel A. & Conte, Joel P. & Todd, Michael D., 2023. "The modeling of risk perception in the use of structural health monitoring information for optimal maintenance decisions," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    6. Salehi, Sattar & Robles-Velasco, Alicia & Seyedzadeh, Ali & Ghazali, Aliakbar & Davoudiseresht, Mohsen, 2022. "A hybrid knowledge-based method for pipe renewal planning in Water Distribution Systems with limited data: Application to Iran," Utilities Policy, Elsevier, vol. 78(C).
    7. Ramos-Salgado, Cristóbal & Muñuzuri, Jesús & Aparicio-Ruiz, Pablo & Onieva, Luis, 2021. "A decision support system to design water supply and sewer pipes replacement intervention programs," Reliability Engineering and System Safety, Elsevier, vol. 216(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Paul Brous & Marijn Janssen & Paulien Herder, 2019. "Next Generation Data Infrastructures: Towards an Extendable Model of the Asset Management Data Infrastructure as Complex Adaptive System," Complexity, Hindawi, vol. 2019, pages 1-17, February.
    2. E. Creaco & M. Franchini & S. Alvisi, 2012. "Evaluating Water Demand Shortfalls in Segment Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2301-2321, June.
    3. Jorge Pinto & Humberto Varum & Isabel Bentes & Jitendra Agarwal, 2010. "A Theory of Vulnerability of Water Pipe Network (TVWPN)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(15), pages 4237-4254, December.
    4. Silvia Meniconi & Bruno Brunone & Marco Ferrante & Christian Massari, 2011. "Small Amplitude Sharp Pressure Waves to Diagnose Pipe Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(1), pages 79-96, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:reensy:v:191:y:2019:i:c:s0951832018313899. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.