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Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow

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Abstract

This paper presents a methodology for the application of the Smart Water technology to detect water leakage. This methodology consists in the use of the traditional water balance method together with the minimum night flow approach. This procedure has been applied to a large-scale pilot project conducted at the Scientific Campus of the University of Lille, which is the size of a small town. The water network of the campus is monitored by a set of sensors that record and transmit, in real-time, the hydraulic parameters of the water system. Analysis of real-time data has allowed the verification of water balance and the estimation of water losses level in the network. The paper presents an improvement of the application of the minimum night flow method, which is based on the determination of flow thresholds. A leak alarm is generated if the night flow exceeds the thresholds. This data analysis methodology provides the capability to detect the pipe bursts quickly, thereby reducing the runtime of leakage. The application of the improved method allowed the detection of 25 unreported leaks and decreased the Non-Revenue Water (NRW) level by 36%.

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References

  • Alkasseh JA, Adlan M, Abustan I, Aziz H, Hanif A (2013) Applying minimum night flow to estimate water loss using statistical modeling: a case study in Kinta Valley, Malaysia. Water Resour Manag 27:1439–1455. doi:10.1007/s11269-012-0247-2

    Article  Google Scholar 

  • Ayala–Cabrera D, Herrera M, Izquierdo J, Ocaña–Levario S, Pérez–García R (2013) GPR-based water leak models in water distribution systems. Sensors 13:15912–15936

    Article  Google Scholar 

  • Berthold MR, Cebron N, Dill F, Gabriel TR, Kötter T, Meinl T, Ohl P, Sieb C, Thiel K, Wiswedel B (2008) KNIME: the Konstanz information miner. In: Preisach C, Burkhardt H, Schmidt-Thieme L, Decker R (eds) Data analysis, machine learning and applications: proceedings of the 31st annual conference of the Gesellschaft für Klassifikation E.V., Albert-Ludwigs-Universität Freiburg, March 7–9, 2007. Springer Berlin Heidelberg, Berlin, Heidelberg, pp 319–326. doi:10.1007/978-3-540-78246-9_38

  • Boulos PF, Wiley AN (2013) Can we make water systems smarter? Opflow 39:20–22

    Article  Google Scholar 

  • Buchberger SG, Nadimpalli G (2004) Leak estimation in water distribution systems by statistical analysis of flow readings. J Water Resour Plan Manag 130:321–329. doi:10.1061/(ASCE)0733-9496(2004)130:4(321)

    Article  Google Scholar 

  • Chen XY, Chau KW, Busari AO (2015) A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model. Eng Appl Artif Intell 46(Part A):258–268. doi:10.1016/j.engappai.2015.09.010

    Article  Google Scholar 

  • Davis J, Goadrich M (2006) The relationship between precision-recall and ROC curves. In: Proceedings of the 23rd international conference on machine learning. ACM, pp 233–240

  • Fahmy M, Moselhi O (2009) Detecting and locating leaks in underground water mains using thermography. In: Proceedings of the 26th international symposium on automation and robotic in construction (ISARC), Austin, Texas, U.S., pp 61–67

  • Fang X, Misra S, Xue G, Yang D (2012) Smart grid—the new and improved power grid: a survey communications surveys & tutorials. IEEE 14:944–980

    Google Scholar 

  • Fantozzi M, Calza F, Lambert A (2009) Experience and results achieved in introducing district metered areas (DMA) and pressure management areas (PMA) at Enia utility (Italy). In: IWA International Specialised Conference Water Loss, Cape Town, Saatavissa

  • Fantozzi M, Lambert AO, Liemberger R (2010) Some examples of European water loss targets, and the law of unintended consequences. In: Proceedings of the international water association conference: water loss, Sao Paulo, Brazil. pp 192–200

  • Farah E, Abdallah A, Shahrour I (2017) Sunrise: large scale demonstrator of the smart water system. Int J Sustain Dev Plan 12:112–121

    Article  Google Scholar 

  • Fawcett T (2006) An introduction to ROC analysis. Pattern Recogn Lett 27:861–874. doi:10.1016/j.patrec.2005.10.010

    Article  Google Scholar 

  • García VJ, Cabrera E, Cabrera Jr E (2006) The minimum night flow method revisited. In: Proceedings of the 8th annual water distribution systems analysis symposium. Cincinnati, USA

  • Hunaidi O, Wang A, Bracken M, Gambino T, Fricke C (2004) Acoustic methods for locating leaks in municipal water pipe networks. In: Proceedings of the International Conference on Water Demand Management, Dead Sea, Jordan, 30 May - 3 June 2004. pp 1–14

  • Jones C, Mergelas B, Laven K, Bond A (2006) Pinpointing exfiltration in large diameter pressurized wastewater pipelines with the Sahara tethered system. In: Pipelines 2006. Am Soc Civil Eng, pp 1–8. doi:10.1061/40854(211)14

  • Kingdom B, Liemberger R, Marin P (2006) The challenge of reducing non-revenue (NRW) water in developing countries. How the private sector can help: a look at performance-based service contracting water supply and sanitation (WSS) sector board discussion paper N 8 Washington DC the World Bank

  • Kvanli A, Pavur R, Keeling K (2006) Concise managerial statistics. South-Western Thomson Learning, Mason

    Google Scholar 

  • Lambert A (2002) International report: water losses management and techniques. Water Sci Technol Water Supply 2:1–20

    Google Scholar 

  • Morrison J (2010) Managing leakage by district metered access: a practical approach. Water 21:44–46

    Google Scholar 

  • Mutikanga HE, Sharma SK, Vairavamoorthy K (2013) Methods and tools for managing losses in water distribution systems. J Water Resour Plan Manag 139:166–174. doi:10.1061/(ASCE)WR.1943-5452.0000245

    Article  Google Scholar 

  • Noran P, Obenauf P (2010) Asset Management of a Failing 36″ ductile iron sewage force main. In: pipelines 2010. Am Soc Civil Eng, pp 566–576. doi:10.1061/41138(386)55

  • dos Santos CC, Pereira Filho AJ (2014) Water demand forecasting model for the metropolitan area of São Paulo, Brazil. Water Resour Manag 28:4401–4414. doi:10.1007/s11269-014-0743-7

    Article  Google Scholar 

  • Shahrour I, Abbas O, Abdallah A, Abourjeily Y, Farah E (2016) SunRise Smart Water : Démonstrateur à grande échelle des réseaux d’eau intelligents. In: 95e congrès de l'ASTEE (Association Scientifique et Technique pour l'Eau et l'Environnement), Issy-les-Moulineaux, France. pp 145–150

  • Sturm R, Thornton J (2005) Proactive leakage management using district metered areas (DMA) and pressure management – is it applicable in North America? In: Proceedings of the international water association conference: leakage 2005, Halifax, Canada

  • Tabesh M, Yekta AHA, Burrows R (2009) An integrated model to evaluate losses in water distribution systems. Water Resour Manag 23:477–492. doi:10.1007/s11269-008-9284-2

    Article  Google Scholar 

  • Thornton J, Sturm R, Kunkel G (2008) Water loss control, Second edn. McGraw Hill Professional, 285 pages, USA

  • Wu CL, Chau KW, Fan C (2010) Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques. J Hydrol 389:146–167. doi:10.1016/j.jhydrol.2010.05.040

    Article  Google Scholar 

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Authors and Affiliations

  1. Laboratoire de Génie Civil et géo-Environnement (LGCgE), Université de Lille, 59650, Villeneuve d’Ascq, France

    Elias Farah & Isam Shahrour

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  1. Elias Farah
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  2. Isam Shahrour
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Correspondence to Elias Farah.

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Farah, E., Shahrour, I. Leakage Detection Using Smart Water System: Combination of Water Balance and Automated Minimum Night Flow. Water Resour Manage 31, 4821–4833 (2017). https://doi.org/10.1007/s11269-017-1780-9

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  • DOI: https://doi.org/10.1007/s11269-017-1780-9

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