Leakage Detection and localization in Water Distribution Networks Using SMA

Articles in Press

Authors

1 Department of water and hydraulic structures, Faculty of civil engineering, Iran university of science and technology, Tehran, Iran

2 Vafadar St, Tehranpars 4 Sq, Tehran, Iran

3 Department of water and environment, Faculty of civil engineering, shahid beheshti university,Tehran, Iran

Abstract

The occurrence of leakage in water supply systems, in addition to water loss, increases the costs of operation as well as pollution entering the network. Therefore, finding leaks is a crucial challenge for water utilities. In most of the conventional methods, leak detection is costly and time consuming. In this paper, a calibration-optimization method is presented using a new meta-heuristic algorithm (SMA). The proposed method is based on comparing simulated and field data of pressure and flow. This method was implemented for 15 different scenarios of single leak in three water distribution networks. The amount and location of leakage in all scenarios were defined automatically. The results showed that the presented method is able to estimate the location and amount of leakage in the networks with high accuracy and independent of the dimensions and specifications of the networks and also without dependence on the amount and location of the leakage. In the studied networks, the algorithm has reached convergence in less than 90 iterations fast and the leak detection has been performed accurately. Based on the obtained results, leak location in water networks can be found with very high accuracy using the proposed powerful algorithm.

Keywords

Journal of Water and Wastewater Science and Engineering

Articles in Press, Accepted Manuscript
Available Online from 06 December 2023

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History

  • Receive Date: 08 April 2023
  • Revise Date: 13 November 2023
  • Accept Date: 06 December 2023

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