A composite indicator for water meter replacement in an urban distribution network

Urban Water Journal

Volumn 9, Issue 6, 2012, Pages 419-428

  Fontanazza, Chiara M ^a   Freni, Gabriele ^b   la Loggia, Goffredo ^a   Notaro, Vincenza ^a   Puleo, Valeria ^a  

^a UNIVERSITY OF PALERMO   (Italy)

^b KORE UNIVERSITY OF ENNA   (Italy)

Author keywords

apparent losses; composite indicator; metering errors; uncertainty analysis; water meters

Indexed keywords

COMPLEXITY; MONTE CARLO ANALYSIS; UNCERTAINTY ANALYSIS; URBAN AREA; WATER MANAGEMENT; WATER SUPPLY; WATER USE;

ITALY; PALERMO [SICILY]; SICILY;

EID: 84868329593     PISSN: 1573062X     EISSN: 17449006     Source Type: Journal    
DOI: 10.1080/1573062X.2012.690434     Document Type: Article

References (37)

1. Arregui, F.J. 2006. Reducing apparent losses caused by meters inaccuracies. Water Practice & Technology, 1(4) doi: 10.2166/WPT.2006093
2. Arregui, F. Key factors affecting water meter accuracy. Proceedings of the leakage 2005 conference.
3. Arregui, F. 2003. Management strategies for optimum meter selection and replacement. Water Science and Technology: Water Supply, 3(1-2): 143-152.
4. Arregui, F.J. et al., 2011. Graphical method to calculate the optimum replacement period for water meters. Journal of Water Resources Planning and Management, 137 (1), 143-146
5. Arregui, F.J. Quantification of meter errors of domestic users: a case study. Proceedings of the water loss 2007 conference.
6. Brand, D.A. 2007. Comparative analysis of alcohol control policies in 30 countries. PLoS Medicine, 4(4): 752-759.
7. Christodoulou, S. Water network assessment and reliability analysis by use of survival analysis. Proceedings of the EWRA 7th conference. June25-272009, Limassol.
8. Christodoulou, S. and Charalambous, B. 2010. Proactive risk-based integrity assessment of water distribution networks. Water Resources Management, 24(13): 3715-3730.
9. Cobacho, R. 2008. Private water storage tanks: evaluating their inefficiencies. Water Practice & Technology, 3(1) doi: 10.2166/WPT.2008025
10. Council Directive 75/33/EEC of 17 December 1974 on the approximation of the laws of the Member States relating to cold-water meters (75/33/EEC)., 1974. Council of the European Communities, Brussel, Belgium, Official Journal L, 14, 1-9
11. Criminisi, A. 2009. Evaluation of the apparent losses caused by water meter under-registration in intermittent water supply. Water Science and Technology, 60(9): 2373-2382.
12. Farley, M. and Trow, S. 2003. Losses in water distribution networks - A practitioner's guide to assessment, monitoring and control, London: IWA Publishing.
13. Fontanazza, C.M. Effect of network pressure on apparent losses due to meters under-registration. Proceedings of the water loss 2010 conference.
14. Fontanazza, C.M., et al., 2006. Comparison of different stochastic models for urban water demand forecasting in drought conditions. In: Proceedings of the 7th international conference on hydroinformatics, 4-7 September 2006, Nice, France
15. Freudenberg, M. 2003. Composite indicators of country performance: a critical assessment, Paris: OECD Publishing.
16. ISO 4064, 2005. Measurement of water flow in fully charged closed conduits-Meters for cold potable water and hot water. International Organization for Standardization, Geneva, Switzerland.
17. Jacobs, R., Smith, P. and Goddard, M. Measuring performance: an examination of composite performance indicators. CHE Technical Paper Series 29. Centre for Health Economics, University of York.
18. Kanakoudis, V. and Tolikas, D. 2001. The role of leaks and breaks in water networks-Technical and economical solutions. Journal of Water Supply: Research and Technology - Aqua, 50(5): 301-311.
19. Kanakoudis, V. and Tolikas, D. 2004. Assessing the Performance Level of a water system. Water, Air & Soil Pollution, 4-5: 307-318.
20. Kanakoudis, V. and Tsitsifli, S., 2010a. Water volume vs. revenues oriented water balance calculation for urban water networks: the 'Minimum Charge Difference' component makes a difference! In: Proceedings of water loss 2010 conference, 6-9 June 2010, Sao Paulo, Brazil (CD-ROM edition)
21. Kanakoudis, V. and Tsitsifli, S. 2010b. Results of an urban water distribution network performance evaluation attempt in Greece. Urban Water Journal, 7(5): 267-285.
22. Kanakoudis, V. and Tsitsifli, S. 2011. Water pipe network reliability assessment using the DAC method. Desalination & Water Treatment, 33: 97-106.
23. Karavanas, A., Chaloulakou, A. and Spyrellis, N. 2009. Evaluation of the implementation of best available techniques in IPPC context: an environmental performance indicators approach. Journal of Cleaner Production, 17: 480-486.
24. Lambert, A.O. 2002. International report: water losses management and techniques. Water Science and Technology: Water Supply, 2(4): 1-20.
25. Lambert, A. and Hirner, W. 2000. Losses from water supply systems: standard terminology and recommended performance measures [online] Available from: http://www.iwahq.org.uk/bluepages [Accessed 28 October 2011]
26. Little, R.J.A. and Rubin, D.B. 2002. Statistical analysis with missing data, Hoboken, NJ: Wiley Interscience.
27. Makropoulos, C.K. and Butler, D. 2005. A neurofuzzy spatial decision support system for pipe replacement prioritisation. Urban Water Journal, 2(3): 141-150.
28. OECD - Organisation for Economic Co-operation, and Development. 2008. Handbook on constructing composite indicators. Methodology and user guide, Paris, France: OECD Publishing.
29. Rizzo, A. and Cilia, J., 2005. Quantifying meter under-registration caused by the ball valves of roof tanks (for indirect plumbing systems). In: Proceedings of the leakage 2005 conference, 12-14 September 2005, Halifax, Canada (CD-ROM edition)
30. Saisana, M., 2008. The 2007 Composite learning index: robustness issues and critical assessment. Ispra, Italy: European Commission, Joint Research Centre, Report Number 23274
31. Saisana, M. and Saltelli, A., 2010. Uncertainty and sensitivity analysis of the 2010 environmental performance index. Ispra, Italy: European Commission, Joint Research Centre, Report Number 24269
32. Saisana, M., Annoni, P., and Nardo, M., 2009. A robust model to measure governance in African countries. Ispra, Italy: European Commission, Joint Research Centre, Report Number 23773
33. Saltelli, A. 2008. Global sensitivity analysis, London: The Primer, John Wiley & Sons.
34. Tabesh, M., Yekta, A.H.A. and Burrows, R. 2008. An integrated model to evaluate losses in water distribution systems. Water Resources Management, 23(3): 477-492.
35. Thornton, J. and Rizzo, A., 2002. Apparent losses, how low can you go? In: Proceedings of the leakage management conference, 20-22 November 2002, Lemesos, Cyprus
36. Tsitsifli, S. and Kanakoudis, V. 2010. Predicting the behavior of a network pipe using the "critical z-score" as its performance indicator. Desalination, 250(1): 258-265.
37. Tsitsifli, S., Kanakoudis, V. and Bakouros, I. 2011. Pipe networks risk assessment based on survival analysis. Water Resources Management, 14(25): 3729-3746.