New Method for Leakage Detection by Using Artificial Neural Networks

Document Type : Research Paper


1 PhD Student of Water Engineering & Hydraulic Structues, Ferdowsi University, Mashhad, Iran

2 Prof., Department of Civil Engineering, Ferdowsi University, Mashhad, Iran


Nowadays water loss has been turned into a global concern and on the other hand the demand for water is increasing. This problem has made the demand management and consumption pattern reform necessary. One of the most important methods for managing water consumption is to decrease the water loss. In this study by using neural networks, a new method is presented to specify the location and quantity of leakages in water distribution networks.  In this method, by producing the training data and applying it to neural network, the network is able to determine approximate location and quantity of nodal leakage with receiving the nodal pressure. Production of training data is carried out by applying assumed leakage to specific nodes in the network and calculating the new nodal pressures. The results show that by minimum use of hydraulic data taken from pressures, not only this method can determine the location of nodal leakages, but also it can specify the amount of leakage on each node with reasonable accuracy.


Main Subjects

Araujo, L.S., Ramos, H. & Coelho, S.T., 2006, "Pressure control for leakage minimization in water distribution systems management", Journal of Water Resources Management, 20, 133-149.
Soltani Asl, M. S. & Maghrebi, M. F., 2008, "Intelligent pressure management to reduce leakage in urban water supply networks, a case study of Sarafrazan District, Mashhad", Journal of Water and Wastewater, Vol. 20 No.3 (71), 99-104. (In Persian)
Campisano, A., Creaco, E. & Modica, C., 2010, "RTC of valves for leakage reduction in water supply network", Journal of Water Resources Planning and Management, 136, (1) 138-141.
Covas, D., & Ramos, H., 2010, "Case studies of leak detection and location in water pipe systems by inverse transient analysis", Journal of Water Resources Planning and Management, 136(2) 248-257.
Hunaidi, O., Chu, W., Wang, A., & Guan, W., 1998, "Effectiveness of leak detection methods for plastic water distribution pipes", Workshop on Advancing the State of our Distribution Systems, Denver: The Practical Benefits of Research.
Jing, K., & Zhi-Hong Z., 2012, "Time prediction model for pipeline leakage based on grey relational analysis", Journal of Physics Procedia 25, 2019-2024.
Karamouz, M., Tabesh, M., Nazif, S., & Moridi, A., 2005, "Estimation of hydraulic pressure in water networks using artificial neural networks and fuzzy logic", Journal of Water and Wastewater, Vol. 1 No.16 (53), 3-14. (In Persian)
Li, W., Ling, W., Liu, S., Zhao, J., Liu, R., Chen, Q., Qiang, Z. & Qu., J., 2011, "Development of system for detection, early warning, and control of pipeline leakage in drinking water distribution: A case study”, Journal of Environmental Science, 23(11) 1816-1822.
Maghrebi, M. F. & Attari, M., 2013, "A new method in leak detection of a water supply networks using minimal number of nodal pressure measurements for the case of two nodal leaks", 7th National Congress on Civil Engineering, Zahedan, Sistan and Baluchestan, Iran. (In Persian)
Marunga, A., Hoko, Z., & Kaseke, E., 2006, "Pressure management as a leakage reduction and water demand management tool: The case of the City of Mutare, Zimbabwe", Journal of Physics and Chemistry of the Earth,31, 763-770.
National Water & Wastewater Company, 2010, Statistics and information of rural water and wastewater company, Tehran, Iran. (In Persian)
Nicolini, M., Giacomello, C., & Ded, K., 2011, "Calibration and optimal leakage management for a real water distribution network", Journal of Water Resources Planning and Management, 137 (1) 134-142.
Perez, R., Puig, V., Pascual, J., Quevedo, J., Landeros, E. & Peralta, A., 2011, "Methodology for leakage isolation using pressure sensitivity analysis in water distribution networks", Journal of Control Engineering Practice 19, 1157-1167.
Poulakis, Z., Valougeorgis, D. & Papadimitriou, C., 2003, "Leakage detection in water pipe networks using a bayesian probabilistic framework", Probabilistic Engineering Mechanics, 18, 315-327.
Prodon, A., DeNegre, S. & Liebling, T.M., 2010, "Location leak detection sensors in a water distribution network by solving prize-collecting steiner arborescence problems", Journal of Math. Program. Ser B, 124, 119-141.
Soltani, J. & Mohammdrezapour Tabari, M., 2012, "Determination of the effective parameters on the rate of failure in in the pipelines of the water supply networks by the use of a hybrid method on the ANN and GA", Journal of Water and Wastewater, Vol. 23 No.3 (83) , 2-15. (In Persian)
Tajrishi, M. & Abrishamchi, A., 2004, "Management of water resources demands in the country", The First Congress on the Prevention of the Wasting the National Resources, Tehran, Iran. (In Persian)