Scaling Effects On The Stochastic Modeling
Of Instantaneous Water Demand
Author(s)
R. Magini, I. Pallavicini & R. Guercio
Abstract
The conventional modelling of distribution networks normally makes reference
to a deterministic approach, not merely with regard to the supplies, but also with
respect to the geometrical description and the hydraulic characteristics of the
system. A different approach for the modelling of water supply systems derives
from the explicit consideration of the random nature of the processes analysed,
and by the reciprocal interaction and attenuation operated by the hydraulic
system. The main objective of this paper is to achieve the implementation of a
stochastic simulation model for the instantaneous demand able to preserve in
space and time the characteristics of the physical peculiarities of the elementary
demand. The results obtained from the processing of progressive
spatial-temporal aggregations of the various elementary users are presented in
order to highlight the non-linearity characteristics which distinguish the
phenomena examined and facilitate the adoption of optimum observation and
simulation scales.
Keywords: residential water demand, stochastic modelling, spatial scaling.
1 Overview
In the stochastic modelling of water demand, firstly proposed by Buchberger et
al [1] [2], two phases can be distinguished: the first step consists of the
estimation of the parameters of the stochastic process from the recorded demand
series the second step is the use of the model as a demand simulator, as a
stochastic process, for the types of users considered.
In both cases is essential to understand if spatial scaling effects exist that can
affect the correct modelling of phenomena.
Keywords
residential water demand, stochastic modelling, spatial scaling.
Related Book
Other papers in this volume
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