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Locating of Probabilistic Leakage Areas in Water Distribution Networks by a Calibration Method Using the Imperialist Competitive Algorithm

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  • Reza Moasheri

    (Shahid Beheshti University)

  • Mohammadreza Jalili-Ghazizadeh

    (Shahid Beheshti University)

Abstract

Leakages in water distribution networks (WDNs), in addition to water loss, causes more problems such as water pollution and land subsidence. In this paper, a new method is proposed to determine the leaky areas in WDNs. At first, a WDN is divided into several virtual areas. Then, while leakage is considered as an additional demand of nodes, the simultaneous calibration of the demands and the roughness coefficient of pipes is carried out by the imperialist competitive algorithm (ICA). Finally, the leakage probability of each area is estimated. The proposed method was implemented in a model water network with three scenarios (one, two and six simultaneous leakages, respectively) and a real water network, with two different leaky scenarios. The results showed that the proposed algorithm can correctly predict the location of multi simultaneous leakages considering their values priority. However, with increasing the number of simultaneous leakages, the ability of the used optimization algorithm (ICA) was reduced as for the studied model network, the average errors of the roughness coefficient of pipes for the three scenarios were approximate 2.3, 3.2, and 4.5%, respectively. The proposed method can be utilized by water utilities for locating leaky areas.

Suggested Citation

  • Reza Moasheri & Mohammadreza Jalili-Ghazizadeh, 2020. "Locating of Probabilistic Leakage Areas in Water Distribution Networks by a Calibration Method Using the Imperialist Competitive Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(1), pages 35-49, January.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:1:d:10.1007_s11269-019-02388-4
    DOI: 10.1007/s11269-019-02388-4
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    References listed on IDEAS

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    1. Lipowski, Adam & Lipowska, Dorota, 2012. "Roulette-wheel selection via stochastic acceptance," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(6), pages 2193-2196.
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    3. Erfan Hajibandeh & Sara Nazif, 2018. "Pressure Zoning Approach for Leak Detection in Water Distribution Systems Based on a Multi Objective Ant Colony Optimization," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(7), pages 2287-2300, May.
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    Citations

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    Cited by:

    1. Irene Marzola & Stefano Alvisi & Marco Franchini, 2022. "A Comparison of Model-Based Methods for Leakage Localization in 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(14), pages 5711-5727, November.
    2. Shipeng Chu & Tuqiao Zhang & Xinhong Zhou & Tingchao Yu & Yu Shao, 2022. "An Efficient Approach for Nodal Water Demand Estimation in Large-scale 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(2), pages 491-505, January.
    3. Pham Duc Dai, 2023. "A Real Time Optimization Based Sequential Convex Program for Pressure Management in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(12), pages 4751-4768, September.
    4. L. Berardi & O. Giustolisi, 2021. "Calibration of Design Models for Leakage Management of Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(8), pages 2537-2551, June.

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