Development and Implementation of a Novel Assessment System for Water Utilities in Strategic Water Loss Management
Publication: Journal of Pipeline Systems Engineering and Practice
Volume 14, Issue 1
Abstract
Numerous methods and tools have been proposed to manage water losses in water distribution systems. These methods generally involve time-consuming and costly processes. Since the dynamic structure of each system is different, the applicability of the methods should be analyzed before applying the methods. In this study, a novel system is developed to analyze the current condition of utility and to assess the data quality and current implementation level of water loss management (WLM) practices. This system consists of a total of 144 WLM components under eight main categories. Pilot utilities are selected to test the feasibility of the developed model and analyze its behavior in the field. Weaknesses and strengths within the scope of WLM are defined separately for each utility. It was understood that the model developed takes into account the dynamic structure of each utility, is applicable in the field, and presents the current condition in a realistic way. It is thought that the developed model will create a reference, especially for practitioners and decision makers in the field, and will provide important benefits in the scope of WLM.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This study was produced from the Ph.D. thesis conducted by Cansu Bozkurt. The authors thank Inonu University, Scientific Research Project Funding for their financial support (FDK-2020/2262). This research was supported by TUBITAK (Turkish National Science Foundation) under Project No. 220M091.
References
Aboelnga, H., M. Saidan, R. Al-Weshah, M. Sturm, L. Ribbe, and F.-B. Frechen. 2018. “Component analysis for optimal leakage management in Madaba, Jordan.” J. Water Supply Res. Technol. AQUA 67 (4): 384–396. https://doi.org/10.2166/aqua.2018.180.
Africa Development Bank. 2011. Self assessment matrix on non-revenue water. Tunis Belvédère, Tunisia: African Development Bank.
Alegre, H., J. M. Baptista, E. Cabrera, F. Cubillo, P. Duarte, W. Hirner, W. Merkel, and R. Parena. 2016. Performance indicators for water supply services. 3rd ed. London: IWA Publishing.
Al-Washali, T., S. Sharma, R. Lupoja, F. Al-Nozaily, M. Haider, and M. Kennedy. 2020. “Assessment of water losses in distribution networks: Methods, applications, uncertainties, and implications in intermittent supply.” Resour. Conserv. Recycl. 152 (Jan): 104515. https://doi.org/10.1016/j.resconrec.2019.104515.
Amoatey, P. K., R. Minke, and H. Steinmetz. 2018. “Leakage estimation in developing country water networks based on water balance, minimum night flow and component analysis methods.” Water Pract. Technol. 13 (1): 96–105. https://doi.org/10.2166/wpt.2018.005.
Azevedo, B. B., and T. A. Saurin. 2018. “Losses in water distribution systems: A complexity theory perspective.” Water Resour. Manage. 32 (9): 2919–2936. https://doi.org/10.1007/s11269-018-1976-7.
Bakhtiari, P., M. R. Nikoo, A. Izady, and N. Talebbeydokhti. 2020. “A coupled agent-based risk-based optimization model for integrated urban water management.” Sustainable Cities Soc. 53 (Feb): 101922. https://doi.org/10.1016/j.scs.2019.101922.
Berardi, L., and O. Giustolisi. 2021. “Calibration of design models for leakage management of water distribution networks.” Water Resour. Manage. 35 (8): 2537–2551. https://doi.org/10.1007/s11269-021-02847-x.
Bozkurt, C., M. Fırat, A. Ateş, S. Yılmaz, and Ö. Özdemir. 2022. “Strategic water loss management: Current status and new model for future perspectives.” Sigma J. Eng. Nat. Sci. 40 (2): 310–322. https://doi.org/10.14744/sigma.2022.00035.
Boztaş, F., Ö. Özdemir, F. M. Durmuşçelebi, and M. Firat. 2019. “Analyzing the effect of the unreported leakages in service connections of water distribution networks on non-revenue water.” Int. J. Environ. Sci. Technol. 16 (8): 4393–4406. https://doi.org/10.1007/s13762-018-2085-0.
Cassidy, J., B. Barbosa, M. Damião, P. Ramalho, A. Ganhão, A. Santos, and J. Feliciano. 2021. “Taking water efficiency to the next level: Digital tools to reduce non-revenue water.” J. Hydroinf. 23 (3): 453–465. https://doi.org/10.2166/hydro.2020.072.
Cordeiro, C., A. Borges, and R. Ramos. 2022. “A strategy to assess water meter performance.” J. Water Resour. Plann. Manage. 148 (2): 05021027. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001492.
Eggimann, S., L. Mutzner, O. Wani, M. Y. Schneider, D. Spuhler, M. Moy De Vitry, P. Beutler, and M. Maurer. 2017. “The potential of knowing more: A review of data-driven urban water management.” Environ. Sci. Technol. 51 (5): 2538–2553. https://doi.org/10.1021/acs.est.6b04267.
Eugine, M. 2017. “Predictive leakage estimation using the cumulative minimum night flow approach.” Am. J. Water Resour. 5 (1): 1–4. https://doi.org/10.12691/ajwr-5-1-1.
Fallahi, H., M. J. Ghazizadeh, B. Aminnejad, and J. Yazdi. 2021. “Leakage detection in water distribution networks using hybrid feedforward artificial neural networks.” J. Water Supply Res. Technol. AQUA 70 (5): 637–653. https://doi.org/10.2166/aqua.2021.140.
Farah, E., and I. Shahrour. 2017. “Leakage detection using smart water system: Combination of water balance and automated minimum night flow.” Water Resour. Manage. 31 (15): 4821–4833. https://doi.org/10.1007/s11269-017-1780-9.
Farley, M., and R. Liemberger. 2005. “Developing a non-revenue water reduction strategy: Planning and implementing the strategy.” Water Sci. Technol. Water Supply 5 (1): 41–50. https://doi.org/10.2166/ws.2005.0006.
Fontana, N., M. Giugni, L. Glielmo, G. Marini, and R. Zollo. 2018. “Real-time control of pressure for leakage reduction in water distribution network: Field experiments.” J. Water Resour. Plann. Manage. 144 (3): 04017096. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000887.
Fontanazza, C. M., V. Notaro, V. Puleo, and G. Freni. 2015. “The apparent losses due to metering errors: A proactive approach to predict losses and schedule maintenance.” Urban Water J. 12 (3): 229–239. https://doi.org/10.1080/1573062X.2014.882363.
Gungor, M., U. Yarar, Ü. Cantürk, and M. Firat. 2019. “Increasing the performance of water distribution network by using pressure management and database integration.” J. Pipeline Syst. Eng. Pract. 10 (2): 04019003. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000367.
Guo, G., X. Yu, S. Liu, Z. Ma, Y. Wu, X. Xu, X. Wang, K. Smith, and X. Wu. 2021. “Leakage detection in water distribution systems based on time–frequency convolutional neural network.” J. Water Resour. Plann. Manage. 147 (2): 04020101. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001317.
Gupta, A., and K. D. Kulat. 2018. “A selective literature review on leak management techniques for water distribution system.” Water Resour. Manage. 32 (10): 3247–3269. https://doi.org/10.1007/s11269-018-1985-6.
Haider, H. 2015. “Performance management framework for small to medium sized water utilities: Conceptualization to development and implementation.” Doctoral dissertation, Dept. of Civil Engineering, Univ. of British Columbia.
Jadhao, R. D., and R. Gupta. 2018. “Calibration of water distribution network of the Ramnagar zone in Nagpur City using online pressure and flow data.” Appl. Water Sci. 8 (1): 29. https://doi.org/10.1007/s13201-018-0672-3.
Kanakoudis, V., S. Tsitsifli, and G. Demetriou. 2016. “Applying an integrated methodology toward non-revenue water reduction: The case of Nicosia, Cyprus.” Desalin. Water Treat. 57 (25): 11447–11461. https://doi.org/10.1080/19443994.2015.1048537.
Kanakoudis, V., S. Tsitsifli, P. Samaras, and A. Zouboulis. 2014. “Water pipe networks performance evaluation.” J. Infrastruct. Syst. 24: 211–226.
Liemberger, R., and M. Farley. 2004. “Developing a non-revenue water reduction strategy Part 1: Investigating and assessing water losses.” In Proc., IWA Specialized Conf.: The 4th IWA World Water Congress, 1–10. Marrakesh, Morocco: International Water Association.
Meirelles Lima, G., B. M. Brentan, and E. Luvizotto. 2018. “Optimal design of water supply networks using an energy recovery approach.” Renewable Energy 117 (Mar): 404–413. https://doi.org/10.1016/j.renene.2017.10.080.
Mendoza, A. A., and H. Benavides-Munoz. 2021. “Evaluation of domestic water measurement error: A case study.” J. Water Supply Res. Technol. AQUA 70 (2): 217–225. https://doi.org/10.2166/aqua.2021.025.
Mesalie, R. A., D. Aklog, and M. S. Kifelew. 2021. “Failure assessment for drinking water distribution system in the case of Bahir Dar institute of technology, Ethiopia.” Appl. Water Sci. 11 (8): 138. https://doi.org/10.1007/s13201-021-01465-7.
Meydani, R., T. Giertz, and J. Leander. 2022. “Decision with uncertain information: An application for leakage detection in water pipelines.” J. Pipeline Syst. Eng. Pract. 13 (3): 04022013. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000644.
Momeni, A., K. R. Piratia, and K. C. Madathil. 2022. “Application of neural network–based modeling for leak localization in water mains.” J. Pipeline Syst. Eng. Pract. 13 (4): 04022032. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000674.
Moslehi, I., M. Jalili-Ghazizadeh, and E. Yousefi-Khoshqalb. 2021. “Developing a framework for leakage target setting in water distribution networks from an economic perspective.” Struct. Infrastruct. Eng. 17 (6): 821–837. https://doi.org/10.1080/15732479.2020.1777568.
Pearson, D. 2019. Standard definitions for water losses: A compendium of terms and acronyms and their associated definition in common use in the field of water loss management, 80. London: IWA Publishing.
Xin, K., T. Tao, Y. Lu, X. Xiong, and F. Li. 2014. “Apparent losses analysis in district metered areas of water distribution systems.” Water Resour. Manage. 28 (3): 683–696. https://doi.org/10.1007/s11269-013-0508-8.
Yılmaz, S., M. Fırat, A. Ateş, and Ö. Özdemir. 2021. “Analysis of economic leakage level and infrastructure leakage index indicator by applying active leakage control.” J. Pipeline Syst. Eng. Pract. 12 (4): 04021046. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000583.
Information & Authors
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Published In
Journal of Pipeline Systems Engineering and Practice
Volume 14 • Issue 1 • February 2023
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Jan 21, 2022
Accepted: Sep 9, 2022
Published online: Nov 14, 2022
Published in print: Feb 1, 2023
Discussion open until: Apr 14, 2023
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