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Evolving Effective Hydraulic Model for Municipal Water Systems

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  • Zheng Wu
  • Christopher Clark

Abstract

Constructing a robust hydraulic network model is vitally important, but a time-consuming task. Over last two decades, several approaches using optimization techniques have been developed for identifying model parameters. Although most of the methods can make the model agree with field observations, few are able to achieve a good level of accuracy in terms of determining the correct model parameters for a water distribution system. The previously developed methods appear to be lacking versatility for users to specify calibration tasks given real data for a real system. This paper proposes a comprehensive framework for evolving a hydraulic network model. Calibration tasks can be specified according to data availability and model application requirements. It allows an engineer to (1) flexibly choose any combination of the model parameters such as pipe roughness, junction demand and link (pipes, valves and pumps) operational status; (2) easily aggregate model parameters to reduce the problem dimension for expeditious calculation and (3) consistently specify boundary conditions and junction demand loadings that are corresponding to field data collection. A model calibration is then defined as an implicit nonlinear optimization problem, which is solved by employing a competent evolutionary algorithm. With this methodology, a modeler can be fully assisted to carry out not only a single parameter optimization run, but also a variety of calibration tasks in a progressive manner according to practical system conditions, thus it is possible to achieve a good model calibration with high level of confidence. The method has been applied to the model of a municipal water system to demonstrate the efficacy and robustness of the evolutionary modeling practices. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • Zheng Wu & Christopher Clark, 2009. "Evolving Effective Hydraulic Model for Municipal Water Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(1), pages 117-136, January.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:1:p:117-136
    DOI: 10.1007/s11269-008-9267-3
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    Citations

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    Cited by:

    1. Sarai Díaz & Roberto Mínguez & Javier González, 2017. "Calibration via Multi-period State Estimation in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4801-4819, December.
    2. Cristiana Bragalli & Matteo Fortini & Ezio Todini, 2016. "Enhancing Knowledge in Water Distribution Networks via Data Assimilation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3689-3706, September.
    3. Andrea Menapace & Diego Avesani, 2019. "Global Gradient Algorithm Extension to Distributed Pressure Driven Pipe Demand Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(5), pages 1717-1736, March.
    4. Mehdi Dini & Massoud Tabesh, 2014. "A New Method for Simultaneous Calibration of Demand Pattern and Hazen-Williams Coefficients in Water Distribution Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 2021-2034, May.

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