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Water Distribution Networks

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Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 565))

Abstract

A water distribution system is a complex assembly of hydraulic control elements connected together to convey quantities of water from sources to consumers. The typical high number of constraints and decision variables, the nonlinearity, and the non-smoothness of the head—flow—water quality governing equations are inherent to water supply systems planning and management problems. Traditional methods for solving water distribution systems management problems, such as the least cost design and operation problem, utilized linear/nonlinear optimization schemes which were limited by the system size, the number of constraints, and the number of loading conditions. More recent methodologies employ heuristic optimization techniques, such as genetic algorithms or ant colony optimization as stand alone or hybrid data driven—heuristic schemes. This book chapter reviews some of the more traditional water distribution systems problem algorithms and solution methodologies. It is comprised of sub sections on least cost and multi-objective optimal design of water networks, reliability incorporation in water supply systems design, optimal operation of water networks, water quality analysis inclusion in distribution systems, water networks security related topics, and a look into the future.

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  1. Faculty of Civil and Environmental Engineering, Technion—Israel Institute of Technology, 32000, Haifa, Israel

    Avi Ostfeld

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    Elias Kyriakides

  2. KIOS Research Center for Intelligent Systems and Networks, Department of Electrical and Computer Engineering, University of Cyprus, Nicosia, Cyprus

    Marios Polycarpou

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Ostfeld, A. (2015). Water Distribution Networks. In: Kyriakides, E., Polycarpou, M. (eds) Intelligent Monitoring, Control, and Security of Critical Infrastructure Systems. Studies in Computational Intelligence, vol 565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-44160-2_4

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