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A Neurofuzzy Decision Framework for the Management of Water Distribution Networks

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Abstract

Among the most important components of sustainable management strategies for water distribution networks is the ability to integrate risk analysis and asset management decision-support systems (DSS), as well as the ability to incorporate in the analysis financial and socio-political parameters that are associated with the networks in study. Presented herein is a neurofuzzy decision-support system for the performance of multi-factored risk-of-failure analysis and pipe asset management, as applied to urban water distribution networks. The study is based on two datasets (one from New York City and the other from the city of Limassol, Cyprus), analytical and numerical methods, and artificial intelligence techniques (artificial neural networks and fuzzy logic) that capture the underlying knowledge and transform the patterns of the network’s behaviour into a knowledge-repository and a DSS.

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References

  • Andreou SA, Marks DH, Clark RM (1987) New methodology for modelling break failure patterns in deteriorating water distribution systems: applications. Adv Water Resour AWREDI 10:2–10

    Article  Google Scholar 

  • Aslani P (2003) Hazard rate modeling and risk analysis of water mains. MSc thesis, Polytechnic University

  • Charalambous B (2005) Experiences in DMA redesign at the water board of Lemesos, Cyprus. In: International water association’s specialised conference on leakage. Halifax, Nova Scotia, Canada, pp 403–413

  • Christodoulou S, Aslani P, Vanrenterghem A (2003) A risk analysis framework for evaluating structural degradation of water mains in urban settings, using neurofuzzy systems and statistical modeling techniques. In: World water & environmental resources congress 2003 and related symposia, Pennsylvania, USA

  • Christodoulou S, Charalambous B, Adamou A (2007) Managing the ‘repair or replace’ dilemma on water leakages. In: International water association’s (IWA) third specialty conference on water loss reduction (Water loss 2007), Bucharest, Romania

  • Clark RM, Stafford CL, Goodrich JA (1982) Water distribution systems: a spatial and cost evaluation. J Water Resour Plan Manage Div 108:243–256

    Google Scholar 

  • Ekinci O, Konak H (2009) An optimization strategy for water distribution networks. Water Resour Manag 23:169–185

    Article  Google Scholar 

  • El-Shafie A, Taha MR, Noureldin A (2007) A neuro-fuzzy model for inflow forecasting of the Nile river at Aswan high dam. Water Resour Manag 21:533–556

    Article  Google Scholar 

  • Goulter IC, Kazemi A (1988) Spatial and temporal groupings of water main pipe breakage in Winnipeg. Can J Civil Eng 15:91–97

    Article  Google Scholar 

  • Hajkowicz S, Collins K (2007) A review of multiple criteria analysis for water resources planning and management. Water Resour Manag 21:1553–1566

    Article  Google Scholar 

  • Kleiner Y, Rajani B (1999) Using limited data to assess future needs. J Am Water Works Assoc 91:47–61

    Google Scholar 

  • Lu HW, Huang G, Zeng GM, Maqsood I, He L (2008) An inexact two-stage fuzzy-stochastic programming model for water resources management. Water Resour Manag 22:991–1016

    Article  Google Scholar 

  • Park S, Kim BJ, Im GC (2008) Modeling of water main failure rates using the log-linear ROCOF and the power law process. Water Resour Manag 22:1311–1324

    Article  Google Scholar 

  • Shamir U, Howard C (1979) An analytical approach to scheduling pipe replacement. J Am Water Works Assoc 71:248–258

    Google Scholar 

  • Tabesh M, Yekta AH, Burrows R (2009) An integrated model to evaluate losses in water distribution systems. Water Resour Manag 23:477–492

    Article  Google Scholar 

  • Vanrenterghem-Raven A, Eisenbeis P, Juran I, Christodoulou S (2004) Statistical modeling of the structural degradation of an urban water distribution system: case study of New York City. In: World water & environmental resources congress 2003 and related symposia, Pennsylvania, USA

  • Zadeh L (1965) Fuzzy sets. Inf Control 8:338–353

    Article  Google Scholar 

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Authors and Affiliations

  1. University of Cyprus, Nicosia, Cyprus

    Symeon Christodoulou & Alexandra Deligianni

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  1. Symeon Christodoulou
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  2. Alexandra Deligianni
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Correspondence to Symeon Christodoulou.

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Christodoulou, S., Deligianni, A. A Neurofuzzy Decision Framework for the Management of Water Distribution Networks. Water Resour Manage 24, 139–156 (2010). https://doi.org/10.1007/s11269-009-9441-2

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  • DOI: https://doi.org/10.1007/s11269-009-9441-2

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