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Pressure-Pipe Breaks Relationship in Water Distribution Networks: A Statistical Analysis

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  • Iman Moslehi

    (Shahid Beheshti University)

  • Mohammadreza Jalili_Ghazizadeh

    (Shahid Beheshti University)

Abstract

Maximum pressure is a crucial factor in pipe break events. In this paper, a field data-based methodology is proposed to statistically investigate the relationship between operating pressures and pipe break rates in water distribution networks. The objective is to develop the pipe break rate functions (BRFs) where a maximum pressure indicator (MPI) is associated with an average level of pipe break rates. The methodology uses measured pressure values at the average zone point to calculate MPIs along with recorded pipe breaks to establish BRFs for different pipe materials. The Bayes theorem is then applied to identify the maximum pressure thresholds on the BRFs by means of the unconditional and break- conditioned cumulative distribution functions of the MPIs. The methodology is applied to a large zone of the water distribution network of Tehran (Iran). The results showed that the annual average of the MPI is the best indicator to develop BRFs. The obtained pressure thresholds confirm that the break rates increase rapidly for specific maximum pressure ranges, which can be used to implement effective pressure management.

Suggested Citation

  • Iman Moslehi & Mohammadreza Jalili_Ghazizadeh, 2020. "Pressure-Pipe Breaks Relationship in Water Distribution Networks: A Statistical Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(9), pages 2851-2868, July.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:9:d:10.1007_s11269-020-02587-4
    DOI: 10.1007/s11269-020-02587-4
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    References listed on IDEAS

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    1. Kabir, Golam & Tesfamariam, Solomon & Francisque, Alex & Sadiq, Rehan, 2015. "Evaluating risk of water mains failure using a Bayesian belief network model," European Journal of Operational Research, Elsevier, vol. 240(1), pages 220-234.
    2. Xu, Qiang & Chen, Qiuwen & Li, Weifeng & Ma, Jinfeng, 2011. "Pipe break prediction based on evolutionary data-driven methods with brief recorded data," Reliability Engineering and System Safety, Elsevier, vol. 96(8), pages 942-948.
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    Cited by:

    1. Jara-Arriagada, Carlos & Stoianov, Ivan, 2021. "Pipe breaks and estimating the impact of pressure control in water supply networks," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    2. Ram Kailash Prasad, 2021. "Identification of Critical Pipes for Water Distribution Network Rehabilitation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(15), pages 5187-5204, December.
    3. Yaser Amiri-Ardakani & Mohammad Najafzadeh, 2021. "Pipe Break Rate Assessment While Considering Physical and Operational Factors: A Methodology based on Global Positioning System and Data-Driven Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3703-3720, September.
    4. Moslehi, Iman & Jalili Ghazizadeh, Mohammadreza & Yousefi-Khoshqalb, Ehsan, 2020. "An economic valuation model for alternative pressure management schemes in water distribution networks," Utilities Policy, Elsevier, vol. 67(C).

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