Residential water consumption has been analysed by monitoring a water distribution system in a small town of about 1200 inhabitants, Piedimonte San Germano, in southern Italy. The design of a water distribution system is usually undertaken with reference to the maximum water required by customers—one of the most onerous operating conditions to which an hydraulic network is exposed. The aim of the present work has been to contribute to the characterisation of the peak water demand through statistical inferences on a large data sample collected from the system under consideration. Specifically, the data have been analysed for the effect of resampling the raw data with respect to time interval on the estimate of peak demand factor. Formulae are suggested to estimate the maximum flow demand for small towns, in relation to the number of users. In addition, statistical inferences have shown that the stochastic, maximum flow demand is described by the log-normal and Gumbel models. With reference to small residential areas, the parameters of such statistical distributions have been estimated. These have shown that the coefficient of variation (CV) of the peak water demand is a function of the number of users. Although these results are only directly applicable to the specific context from which they have been obtained, the comparison with the sparse data available in the technical literature leads to the belief that the proposed relationships could be extended to other small residential areas.

Peak Residential Water Demand

TRICARICO, Carla;DE MARINIS, Giovanni;GARGANO, Rudy;LEOPARDI, Angelo
2007

Abstract

Residential water consumption has been analysed by monitoring a water distribution system in a small town of about 1200 inhabitants, Piedimonte San Germano, in southern Italy. The design of a water distribution system is usually undertaken with reference to the maximum water required by customers—one of the most onerous operating conditions to which an hydraulic network is exposed. The aim of the present work has been to contribute to the characterisation of the peak water demand through statistical inferences on a large data sample collected from the system under consideration. Specifically, the data have been analysed for the effect of resampling the raw data with respect to time interval on the estimate of peak demand factor. Formulae are suggested to estimate the maximum flow demand for small towns, in relation to the number of users. In addition, statistical inferences have shown that the stochastic, maximum flow demand is described by the log-normal and Gumbel models. With reference to small residential areas, the parameters of such statistical distributions have been estimated. These have shown that the coefficient of variation (CV) of the peak water demand is a function of the number of users. Although these results are only directly applicable to the specific context from which they have been obtained, the comparison with the sparse data available in the technical literature leads to the belief that the proposed relationships could be extended to other small residential areas.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11580/13148
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