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A Case Study in View of Developing Predictive Models for Water Supply System Management

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  • Katarzyna Pietrucha-Urbanik

    (Department of Water Supply and Sewerage Systems, Faculty of Civil, Environmental Engineering and Architecture, Rzeszow University of Technology, Al. Powstancow Warszawy 6, 35-959 Rzeszow, Poland)

  • Barbara Tchórzewska-Cieślak

    (Department of Water Supply and Sewerage Systems, Faculty of Civil, Environmental Engineering and Architecture, Rzeszow University of Technology, Al. Powstancow Warszawy 6, 35-959 Rzeszow, Poland)

  • Mohamed Eid

    (National Institute of Applied Sciences of Rouen-LMN, INSA-Rouen, 685 avenue de l’Université-BP 08, 76801 St. Etienne du Rouvray, France)

Abstract

Initiated by a case study to assess the effectiveness of the modernisation actions undertaken in a water supply system, some R&D activities were conducted to construct a global predictive model, based on the available operational failure and recovery data. The available operational data, regarding the water supply system, are the pipes’ diameter, failure modes, materials, functional conditions, seasonality, and the number of failures and time-to-recover intervals. The operational data are provided by the water company responsible of the supply system. A predictive global model is proposed based on the output of the operational data statistical assessment. It should assess the expected effectiveness of decisions taken in support of the modernisation and the extension plan.

Suggested Citation

  • Katarzyna Pietrucha-Urbanik & Barbara Tchórzewska-Cieślak & Mohamed Eid, 2021. "A Case Study in View of Developing Predictive Models for Water Supply System Management," Energies, MDPI, vol. 14(11), pages 1-25, June.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3305-:d:569047
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    References listed on IDEAS

    as
    1. Katarzyna Pietrucha-Urbanik & Janusz R. Rak, 2020. "Consumers’ Perceptions of the Supply of Tap Water in Crisis Situations," Energies, MDPI, vol. 13(14), pages 1-20, July.
    2. Katarzyna Pietrucha-Urbanik & Barbara Tchórzewska-Cieślak & Mohamed Eid, 2020. "Water Network-Failure Data Assessment," Energies, MDPI, vol. 13(11), pages 1-14, June.
    3. Robles-Velasco, Alicia & Cortés, Pablo & Muñuzuri, Jesús & Onieva, Luis, 2020. "Prediction of pipe failures in water supply networks using logistic regression and support vector classification," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    4. Dawid Szpak, 2020. "Method for Determining the Probability of a Lack of Water Supply to Consumers," Energies, MDPI, vol. 13(20), pages 1-16, October.
    5. Debón, A. & Carrión, A. & Cabrera, E. & Solano, H., 2010. "Comparing risk of failure models in water supply networks using ROC curves," Reliability Engineering and System Safety, Elsevier, vol. 95(1), pages 43-48.
    6. Marek Urbanik & Barbara Tchórzewska-Cieślak & Katarzyna Pietrucha-Urbanik, 2019. "Analysis of the Safety of Functioning Gas Pipelines in Terms of the Occurrence of Failures," Energies, MDPI, vol. 12(17), pages 1-13, August.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Barbara Tchórzewska-Cieślak & Katarzyna Pietrucha-Urbanik, 2023. "Water System Safety Analysis Model," Energies, MDPI, vol. 16(6), pages 1-18, March.

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