A Proposed Method for Locating of Leaky Areas in Water Supply Networks Based on Flow Hydraulic Grade Line

Document Type : Research Article

Authors

1 Faculty of Civil, Water, and Environmental Engineering, Shahid Beheshti University, Tehran, Iran

2 Faculty of Civil, Water, and Environmental Engineering, Shahid Beheshti University

Abstract

Leaks in water supply networks cause problems such as water loss and contamination. Due to the difficulties of the current leak detection methods, some methods are recently being developed that use network field data (in the form of flow or pressure) and hydraulic simulation to determine the location of leaks. In this paper, a new method is proposed for locating the leaky areas in water supply networks, based on the results of field pressure measurements and investigating the hydraulic grade line. Suggestions on the number and arrangement of pressure meters in the network were also recommended. The obtained results for three scenarios in a looped water network with 30 junctions were presented. The results showed that this method can correctly identify the leak areas with no limitation on the number of simultaneous leaks in the network. On the other hand, this method is verifiable, unlike the most commonly leak analytical methods. In this methodology, if the number of field pressure meters increases, the reported leaky areas become smaller. As a scenario, by increasing the number of pressure meters from 3 to 4, the reported area gets halved. The proposed method can be utilized by operators of water distribution and transport networks.

Keywords

Main Subjects

References

[1] G. Mazzolani, L. Berardi, D. Laucelli, R. Martino, A. Simone, O. Giustolisi, A Methodology to Estimate Leakages in Water Distribution Networks Based on Inlet Flow Data Analysis, Procedia Engineering, 162(2016) 411-418.
[2] Vice Presidency for Strategic Planning and Supervision, The Guide to Recognizing and Investigating the Effective Factors in Unaccounted-For Water the Unaccounted and Approaches to its Reduction: No. 556(2012) (In Persian).
[3] J. Sousa, L. Ribeiro, J. Muranho, A. Marques, Locating Leaks in Water Distribution Networks with Simulated Annealing and Graph Theory, Procedia Engineering, 119 (2015) 63-71.
[4] R. Puust, Z. Kapelan, D.A. Savic, T. Koppel, A review of methods for leakage management in pipe networks, Urban Water Journal, 7(1) (2010) 25-45.
[5] N. Samir, R. Kansoh, W. Elbarki, A. Fleifle, Pressure control for minimizing leakage in water distribution systems. Alexandria Engineering Journal, 56(4) (2017) 601-612.
[6] D. Covas, H. Ramos, Case Studies of Leak Detection and Location in Water Pipe Systems by Inverse Transient Analysis, Journal of Water Resources Planning and Management, 136(2) (2010) 248-257.
[7] Z.Y. Wu, P. Sage, Water loss detection via genetic algorithm optimization-based model calibration, ASCE 8th Annual International Symposium on Water Distribution System Analysis, Cincinnati,Ohio(2006).
[8] M. Faghafur Maghrebi, Y. Hasanzadeh, S. Yazdani, Calibration of Water Supply Systems Based on Ant Colony Optimization, Journal of Water & Wastewater, 24(1) (2013) 101-111 (In Persian).
[9] A. Candelieri, D. Conti, F. Archetti, A Graph based Analysis of Leak Localization in Urban Water Networks, Procedia Engineering, 70 (2014) 228-237.
[10] M. Faghafur Maghrebi, M. Aghaebrahimi, H. Taherian, M. Attari, Determining the amount and location of leakage in water supply networks using a neural network improved by the bat optimization algorithm. Journal of Civil Engineering and Urbanism, 4(3) (2014) 322-327.
[11] A. Boostani, S. Khodashenas, Studying a leakage detection method in pressurized water networks based on the pressure–leakage relation (Presentation of Optimization Code for Locating Leakage), Journal of Water and Sustainable Development, 2(1)(2015) 59-66 (In Persian).
[12] H.R. Asgari, M. Faghafur Maghrebi, Application of nodal pressure measurements in leak detection, Journal of Flow Measurement and Instrumentation, 50(2016) 128-134.
[13] Z. Poulakis, D. Valougeorgis, C. Papadimitriou, Leakage detection in water pipe networks using a bayesian probabilistic framework, Journal of Probabilistic Engineering Mechanics, 18(4) (2003) 315-327.
[14] S. Ebrahimi, M. Jalili-Ghazizadeh, Identification of the leakage location in water distribution networks using flow-meter, 1th National Conference on Water Loss & Consumption Management, Iran, Shahid Beheshti University (2017) (In Persian).
[15] Y. Wu, S. Liu, A review of data-driven approaches for burst detection in water distribution systems, Urban Water Journal, 14 (9)(2017)  972-983.
[16] M. Attari, M. Faghafur Maghrebi, New method for leakage detection by using artificial neural networks, Journal of Water & Wastewater, 29(1) (2018) 14-26 (In Persian).
[17] M. Rahmanshahi, M. Fathi-Moghadam, A. Haghighi, Leak detection in viscoelastic pipeline using inverse transient analysis,  Journal of Water & Wastewater, 29 (5)(2018) 85-97 (In Persian).
[18] R. Moasheri, M. Jalili-Ghazizadeh, Identifying Position and Amount of Two Simultaneous Leaks in Water Supply Networks by Two-step Algorithm, Amirkabir Journal of Civil Engineering, (2018) (In Persian). DOI: 10.22060/ceej.2018.15272.5867
[19] E. Hajibandeh, S. Nazif, Pressure Zoning Approach for Leak Detection in Water Distribution Systems Based on a Multi Objective Ant Colony Optimization, Journal of Water Resources Management, 32(7)(2018)  2287-2300.
[20] L.A. Rossman, EPANET user's manual, version 1.1, Cincinnati: US Environmental Protection Agency (1994).
[21] Y. Wu, S. Liu, X. Wang, Distance-Based Burst Detection Using Multiple Pressure Sensors in District Metering Areas, Journal of Water Resources Planning and Management, 144(11)(2018) 06018009.
[22] T.J. McGhee, Water supply and sewerage, McGraw-Hill Book Company, 6th Edition (1991).
AUT Journal of Civil Engineering
Volume 4, Issue 4
December 2020
Pages 437-448

Files

Share

How to cite

Statistics