Stochastic Water Demand Modelling

Stochastic Water Demand Modelling
Author: Mirjam Blokker
Publisher: IWA Publishing
Total Pages: 181
Release: 2011-09-19
Genre: Science
ISBN: 1780400284


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Water quality processes in the drinking water distribution network are strongly influenced by the flow velocity and residence time of the water in the network. In order to understand how the water quality changes in the drinking water distribution network, a good understanding of hydraulics is required. Specifically in the periphery of the network, where customers are connected, the hydraulics can change rapidly. During the night time the water is almost stagnant and the residence time increases. In the morning, when everybody gets up and flushes the toilet and takes a shower, high flow velocities can occur. During the remainder of the day flow velocities are low. The stochastic endues model SIMDEUM was developed to simulate water use on a small time scale (1 s) and small spatial scale (per fixture). SIMDEUM enables a good model of flow velocities, residence times and the connected water quality processes in the water distribution network. Stochastic Water Demand Modelling: Hydraulics in Water Distribution Networks describes the requirements of hydraulics in water quality modelling and provides insight into the development of detailed residential and non-residential water demand models. The book illustrates the use of detailed demand models in water quality models with respect to the variation in residence times and the relation with particle accumulation and resuspension. The models are compared to measurements in several real drinking water distribution networks.


Stochastic Water Demand Modelling
Language: en
Pages: 181
Authors: Mirjam Blokker
Categories: Science
Type: BOOK - Published: 2011-09-19 - Publisher: IWA Publishing

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Water quality processes in the drinking water distribution network are strongly influenced by the flow velocity and residence time of the water in the network.
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Stochastic hydrology is an essential base of water resources systems analysis, due to the inherent randomness of the input, and consequently of the results. The
Network Water Quality Modeling with Stochastic Water Demands and Mass Dispersion
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A new computer model, ADRNET, is developed to predict the spatial and temporal distribution of disinfectant in a pipe network, considering stochastic water dema