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Modeling of Drinking Water Distribution Networks Using Stochastic Demand

Author

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  • Victor Alcocer-Yamanaka
  • Velitchko Tzatchkov
  • Felipe Arreguin-Cortes

Abstract

Residential water demand is one of the most difficult parameters to determine when modeling drinking water distribution networks. It has been proven to be a stochastic process that can be characterized as a series of rectangular pulses with a set intensity, duration and frequency. These parameters can be determined using stochastic models such as the Neyman-Scott Rectangular Pulse (NSRP) model. The NSRP model is based on the solution of a non-linear optimization problem. This solution involves theoretical moments that represent the synthetic demand series (equiprobable) and the observed moments (field measurements) that statistically establish the measured demand series. The NSRP model has been applied for residential demand, and the results have been published. However, this model has not been validated for a real distribution network or compared with traditional methods. The present study compared the results of synthetic stochastic demand series, which were calculated using the NSRP model, applied to the determination of pressures, flow rates and leaks; to the results obtained using traditional simulation methods, which use the curve of hourly variation in demand, and to actual pressure and flow rate measurements. The Humaya sector of Culiacan, Sinaloa, Mexico, was used as the study area. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Victor Alcocer-Yamanaka & Velitchko Tzatchkov & Felipe Arreguin-Cortes, 2012. "Modeling of Drinking Water Distribution Networks Using Stochastic Demand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(7), pages 1779-1792, May.
    • Handle: RePEc:spr:waterr:v:26:y:2012:i:7:p:1779-1792
    DOI: 10.1007/s11269-012-9979-2
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    Cited by:

    1. García-González, J.F. & Moreno, M.A. & Molina, J.M. & Madueño, A. & Ruiz-Canales, A., 2015. "Use of software to model the water and energy use of an irrigation pipe network on a golf course," Agricultural Water Management, Elsevier, vol. 151(C), pages 37-42.
    2. González-Bravo, Ramón & Fuentes-Cortés, Luis Fabián & Ponce-Ortega, José María, 2017. "Defining priorities in the design of power and water distribution networks," Energy, Elsevier, vol. 137(C), pages 1026-1040.
    3. Dália Loureiro & Aisha Mamade & Marta Cabral & Conceição Amado & Dídia Covas, 2016. "A Comprehensive Approach for Spatial and Temporal Water Demand Profiling to Improve Management in Network Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(10), pages 3443-3457, August.

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