Detection of Pipes Causing Pressure Loss in Water Distribution Networks via Artificial Immune Systems
Abstract
This paper proposes the optimization model using Artificial Immune Systems, depending on a model calibration, in order to determine worn out pipes with low Hazen-Williams roughness coefficient causing pressure loss in the water distribution networks. The modified Clonal Selection Algorithm, a type of Artificial Immune Systems, was used as a heuristic optimization method. In order to evaluate its performance, the model was implemented to the four-loop hypothetical water distribution network under steady-state conditions. According to the results, the model appeared to be promising in the detection of old pipes causing high pressure losses in the water distribution networks
Keywords
Pressure loss, Water Distribution Networks, Optimization, Model Calibration, Artificial Immune Systems
References
- [1] W.B.F. De Schaetzen, G.A. Walters, and D.A. Savic, “Optimal sampling design for model calibration using shortest path, genetic and entropy algorithms,” Urban Water Journal, vol. 2, no. 2, pp. 141-152, 2000.
- [2] T.M. Walski, “Understanding the adjustments for water distribution system model calibration,” Journal of Indian Water Works Association, vol. 33, no. 2, pp. 151-157, 2001.
- [3] Z.Y. Wu, T. Walski, R. Mankowski, J. Cook, M. Tryby, and G. Herrin, “Calibrating water distribution model via genetic algorithms,” Proceedings of the AWWA IMTech Conference, Kansas City, Missouri, US, 2002, pp. 1-10.
- [4] D. Savic, Z. Kapelan, and P.M.R. Jonkergouw, “Quo vadis water distribution model calibration?,” Urban Water Journal, vol. 6, no. 1, pp. 3-22, 2009.
- [5] A. Ostfeld, E. Salomons, L. Ormsbee, J.G. Uber, C.M. Bros, P. Kalungi, R. Burd, B. Zazula-Coetzee, T. Belrain, D. Kang, K. Lansey, H. Shen, E. McBean, Z.Y. Wu, T. Walski, S. Alvisi, M. Franchini, J.P. Johnson, S.R. Ghimire, B.D. Barkdoll, T. Koppel, A. Vassiljev, J.H. Kim, G. Chung, D.G. Yoo, K. Diao, Y. Zhou, J. Li, Z. Liu, K. Chang, J. Gao, S. Qu, Y. Yuan, T.D. Prasad, D. Laucelli, L.S. Vamvakeridou Lyroudia, Z. Kapelan, D. Savic, L. Berardi, G. Barbaro, O. Giustolisi, M. Asadzadeh, B.A. Tolson, and R. McKillop, “Battle of the water calibration networks,” Journal of Water Resources Planning and Management, vol. 138, no. 5, pp. 523-532, 2012.
- [6] Z.S. Kapelan, D.A. Savic, and G.A Walters, “A hybrid inverse transient model for leakage detection and roughness calibration in pipe networks,” Journal of Hydraulic Research, vol. 41, no. 5, pp. 481-492, 2003.
- [7] S. Lingireddy and L.E. Ormsbee, “Hydraulic network calibration using genetic optimization,” Civil Engineering and Environmental Systems, vol. 19, no. 1, pp.13-39, 2002.
- [8] M. Jamasb, M. Tabesh, and M. Rahimi, “Calibration of EPANET using genetic algorithm,” Water Distribution Systems Analysis, Kruger National Park, South Africa, 2008, pp. 881-889.
- [9] T. Boczar, N. Adamikiewicz, and W. Stanisławski, “Calibration of parameters of water supply network model using genetic algorithm,” International Conference Energy, Environment and Material Systems (EEMS 2017), Polanica-Zdrój, Poland, 2017, pp. 1-4.
- [10] T.D. Prasad, “A clonal selection algorithm for the C-Town network calibration,” ASCE Water Distribution Systems Analysis (WDSA), Tucson, AZ, USA, 2010, pp. 1652-1663.