Neyman-Scott-based water distribution network modelling

Residential water demand is one of the most difficult parameters to determine when modelling drinking water distribution networks. It has been proven to be a stochastic process which can be characterised as a series of rectangular pulses having set intensity, duration and frequency. Such parameters...

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Vydáno v:Ingeniería e investigación Ročník 32; číslo 3; s. 32 - 36
Hlavní autoři: Alcocer Yamanaka, Víctor Hugo, Tzatchkov, Velitchko G.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Bogota Universidad nacional de Colombia 01.09.2012
Universidad Nacional de Colombia
Facultad de Ingeniería, Universidad Nacional de Colombia
Témata:
Applied sciences
Buildings. Public works
Civil engineering
Demanda doméstica de agua potable
Distribution. Storage
ENGINEERING, MULTIDISCIPLINARY
Exact sciences and technology
Ingeniería Civil
modelación de redes
método de pulsos rectangulares de Neyman
network modeling
Neyman
Neyman-Scott
Rectangular Pulse (NSRP) model
Residential water demand
Scott
Water supply. Pipings. Water treatment
Drinking water
Statistical analysis
Flow rate
Probabilistic approach
Rectangular Pulse (NSRP) model
Flow measurement
Residential water demand
Water distribution
Stochastic process
Modeling
Water supply system network
Neyman-Scott
network modeling
Pressure measurement
Flowmetry
Non linear effect
modelación de redes
método de pulsos rectangulares de Neyman-Scott
Demanda doméstica de agua potable
ISSN:0120-5609, 2248-8723, 2248-8723
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Shrnutí:Residential water demand is one of the most difficult parameters to determine when modelling drinking water distribution networks. It has been proven to be a stochastic process which can be characterised as a series of rectangular pulses having set intensity, duration and frequency. Such parameters can be determined using stochastic models such as the Neyman-Scott rectangular pulse model (NSRPM). NSRPM is based on resolving a non-linear optimisation problem involving theoretical moments of the synthetic demand series (equiprobable) and of the observed moments (field measurements) statistically establishing the measured demand series. NSRPM has been applied to generating local residential demand. However, this model has not been validated for a real distribution network with residential demand aggregation, or compared to traditional methods (which is dealt with here). This paper compares the results of synthetic stochastic demand series (calculated using NSRPM applied to determining pressure and flow rate) to results obtained using traditional simulation methods using 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 study area.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0120-5609
2248-8723
2248-8723
DOI:10.15446/ing.investig.v32n3.35937