Modeling of Drinking Water Distribution Networks Using Stochastic Demand

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 c...

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Vydáno v:Water resources management Ročník 26; číslo 7; s. 1779 - 1792
Hlavní autoři: Alcocer-Yamanaka, Victor H., Tzatchkov, Velitchko G., Arreguin-Cortes, Felipe I.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Dordrecht Springer Netherlands 01.05.2012
Springer
Springer Nature B.V
Témata:
Atmospheric Sciences
Civil Engineering
Demand
Drinking water
Earth and Environmental Science
Earth Sciences
Earth, ocean, space
Environment
Exact sciences and technology
Flow measurement
Flow rate
Flow rates
Geotechnical Engineering & Applied Earth Sciences
Hydraulics
Hydrogeology
Hydrology. Hydrogeology
Hydrology/Water Resources
Marketing
Mathematical models
Networks
Residential
Sea level
Software
Stochastic models
Stochastic processes
Stochasticity
Studies
system optimization
Water demand
Water distribution
Water resources
Water resources management
Water supply engineering
Sinaloa Mexico
Mexico
Residential water demand
Water distribution network models
Neyman-Scott Rectangular Pulse (NSRP) model
Stochastic water demand
simulation
pressure
networks
North America
frequency
stochastic models
solution
optimization
water resource management
drinking water
stochastic processes
methodology
ISSN:0920-4741, 1573-1650
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Shrnutí: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.
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ISSN:0920-4741
1573-1650
DOI:10.1007/s11269-012-9979-2