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A Methodology for the Breakdown of NRW into Real and Administrative Losses

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Abstract

The estimation of Non Revenue Water (NRW) is simple and easy for water suppliers who keep records of the system input volume and the billed authorized consumption. However, the breakdown of NRW into its two main components real and administrative which refers to the unbilled authorized consumption plus apparent losses is not an easy or straight forward task. Methods reported in the literature for the breakdown of NRW into its components are top down approach and bottom up approach. Both approaches suffer from certain limitations and shortcomings that limits their use and reduce our confidence in the results obtained by them. This paper presents a methodology that can be used to draw a line between the real and the administrative losses with an acceptable level of accuracy. This methodology is based on the fact that the administrative losses are delivered to the demand site and consequently reach the wastewater collection system whereas the real losses are lost from the system and consequently do not reach the wastewater collection system. The methodology applies water balance from the water treatment plant outlet till the inlet of the wastewater treatment plant (WWTP). The mass balance approach of the Water Evaluation And Planning (WEAP) system was implemented for this purpose. In this methodology, the breakdown of NRW into its two main components is adjusted iteratively so that the difference between WEAP calculated and measured inflow to the WWTP is minimal. The presented methodology was applied to Amman and Zarqa cities in Jordan which return their wastewater to As Samra WWTP. The results showed that this methodology is capable of dividing NRW water into its two main components with an acceptable level of accuracy.

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References

  • Aksela K, Aksela M, Vahala R (2009) Leakage detection in a real distribution network using SOM. Urban Water J 6(4):279–289

    Article  Google Scholar 

  • Alegre H, Hirner W, Baptista J, Parena R (2000) Performance indicators for water supply services, manual of best practice series. IWA Publishing, London

    Google Scholar 

  • AL-Washali T (2010) Non-revenue water management in Sana’a water distribution system. master’s thesis, University of Jordan

  • Amick R, Burgess E, Camp D (2000) Exfiltration in sewer systems. U.S. Environmental Protection Agency publication, Cincinnati

    Google Scholar 

  • Araujo L, Ramos H, Coelho S (2006) Pressure control for leakage minimisation in water distribution systems management. Water Resour Manag 20(1):133–149

    Article  Google Scholar 

  • Beck S, Curren M, Sims N, Stanway R (2005) Pipeline network features and leak detection by cross-correlation analysis of reflected waves. J Hydraul Eng 131(8):715–723

    Article  Google Scholar 

  • Brunone B, Ferrante M (2001) Detecting leaks in pressurized pipes by means of transients. J Hydraul Res 39:539–547

    Article  Google Scholar 

  • Brunone B, Ferrante M (2004) Pressure waves as a tool for leak detection in closed conduits. Urban Water J 1(2):145–155

    Article  Google Scholar 

  • Buchberger S, Nadimpalli G (2004) Leak estimation in water distribution systems by statistical analysis of flow readings. J Water Resour Plan Manag 130(4):321–329

    Article  Google Scholar 

  • Colombo A, Karney B (2002) Energy and costs of leaky pipes: towards comprehensive picture. J Water Resour Plan Manag 128(6):441–450

    Article  Google Scholar 

  • Covas D, Ramos H, de Almeida A (2005) Standing wave difference method for leak detection in pipeline systems. J Hydraul Eng 131(12):1106–1116

    Article  Google Scholar 

  • Farley M, Wyeth G, Bin Md. Ghazali Z, Istandar A, Singh S (2008) The Manager’s Non-Revenue Water Handbook: A Guide to Understanding Water Losses

  • Gao Y, Brennan M, Joseph P, Muggleton J, Hunaidi O (2004) A model of the correlation function of leak noise in buried plastic pipes. J Sound Vib 277:133–148

    Article  Google Scholar 

  • Gao Y, Brennan M, Joseph P, Muggleton J, Hunaidi O (2005) On the selection of acoustic/vibration sensors for leak detection in plastic water pipes. J Sound Vib 283:927–941

    Article  Google Scholar 

  • Gao Y, Brennan M, Joseph P (2006) A comparison of time delay estimators for the detection of leak noise signals in plastic water distribution pipes. J Sound Vib 292:552–570

    Article  Google Scholar 

  • Giustolisi O, Savic D, Kapelan Z (2008) Pressure-driven demand and leakage simulation for water distribution networks. J Hydraul Eng 134(5):626–635

    Article  Google Scholar 

  • Gleick P, Haasz D, Henges-Jeck C, Srinivasan V, Wolff G, Cushing K, Mann A (2003) Waste not, want not: The potential for urban water conservation in California, a report of the Pacific institute for studies in development, environment, and security, Oakland, California

  • Haghighi A, Ramos H (2012) Detection of leakage freshwater and friction factor calibration in drinking networks using central force optimization. Water Resour Manag 26(8):2347–2363

    Article  Google Scholar 

  • Hirner W, Lambert A (2000) Losses from water supply systems: Standard terminology and recommended performance measures. An IWA task force publication:1–13

  • Kapelan Z, Savic D, Walters G (2003) A hybrid inverse transient model for leakage detection and roughness calibration in pipe networks. J Hydraul Res 41(5):481–492

    Article  Google Scholar 

  • Kapelan Z, Savic D, Walters G (2004) Incorporation of prior information on parameters in inverse transient analysis for leak detection and roughness calibration. Urban Water J 1(2):129–143

    Article  Google Scholar 

  • Karadirek I, Kara S, Yilmaz G, Muhammetoglu A, Muhammetoglu H (2012) Implementation of hydraulic modeling for water-loss reduction through pressure management. Water Resour Manag 26(9):2555–2568

    Article  Google Scholar 

  • Kim S (2005) Extensive development of leak detection algorithm by impulse response method. J Hydraul Eng 131(3):201–208

    Article  Google Scholar 

  • Kingdom B, Liemberger R, Marin P (2006) The challenge of reducing Non-Revenue Water (NRW) in developing countries how the private sector can help: A look at performance-based service contracting, water supply and sanitation sector board discussion paper series paper no.8. The world bank group

  • Lambert A and Taylor R (2010) Water loss guidelines. A guideline for the New Zealand water and wastes association: water New Zealand, New Zealand

  • Lee P, Vıtkovsky J, Lambert M, Simpson A, Liggett J (2005) Leak location using the pattern of the frequency response diagram in pipelines: a numerical study. J Sound Vib 284:1051–1073

    Article  Google Scholar 

  • May J (1994) Pressure dependent leakage. World water and environmental engineering, October 1994

  • Metcalf and Eddy (1991) Wastewater engineering: treatment, disposal, reuse, McGraw-Hill, 3rd ed., Singapore

  • Ministry of Water and Irrigation (MWI) (2008) Water for life: Jordan’s water strategy 2008–2020

  • Misiunas D, Vítkovský J, Olsson G, Simpson A, Lambert M (2005) Pipeline break detection using pressure transient monitoring. J Water Resour Plan Manag 131(4):316–325

    Article  Google Scholar 

  • Mounce S, Machell J (2006) Burst detection using hydraulic data from water distribution systems with artificial neural networks. Urban Water J 3(1):21–31

    Article  Google Scholar 

  • Mpesha W, Chaudhry M, Gassman S (2002) Leak detection in pipes by frequency response method using a step excitation. J Hydraul Res 40(1):55–62

    Article  Google Scholar 

  • Muggleton J, Brennan M (2004) Leak noise propagation and attenuation in submerged plastic water pipes. J Sound Vib 278:527–537

    Article  Google Scholar 

  • Mutikanga H, Sharma S, and Vairavamoorthy K (2010) Assessment of apparent losses in urban water systems. Water and Environment Journal 25(2011): 327–335

    Google Scholar 

  • Mutikanga H, Sharma S, Vairavamoorthy K (2011) Multi-criteria decision analysis: A strategic planning tool for water loss management. Water Resour Manag 25(14):3947–3969

    Article  Google Scholar 

  • Pudar R, Liggett J (1992) Leaks in pipe networks. J Hydraul Eng 118(7):1031–1046

    Article  Google Scholar 

  • Puust R, Kapelan Z, Savic D, Koppel T (2010) A review of methods for leakage management in pipe networks. Urban Water J 7(1):25–45

    Article  Google Scholar 

  • Skeel T and Lucas N (1998) Seattle water’s outdoor use study. http://www.ci.seattle.wa.us/util/RESCONS/papers/p_tsnl.HTM

  • Stockholm Environment Institute (SEI) (1999) WEAP: Water Evaluation and Planning system. Tellus Institute, Boston

    Google Scholar 

  • Water Loss Committee Review (2007) Water audits and loss control programs, AWWA M36 Publication Rewrite

Download references

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Authors and Affiliations

  1. Water, Energy and Environment Center, The University of Jordan, Amman, 11942, Jordan

    Abbas Al-Omari

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  1. Abbas Al-Omari
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Correspondence to Abbas Al-Omari.

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Al-Omari, A. A Methodology for the Breakdown of NRW into Real and Administrative Losses. Water Resour Manage 27, 1913–1930 (2013). https://doi.org/10.1007/s11269-013-0262-y

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  • DOI: https://doi.org/10.1007/s11269-013-0262-y

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