Stochastic Water Demand Modelling
Book Details
Format
Paperback / Softback
Book Series
KWR Watercycle Research Institute Series
ISBN-10
1780400284
ISBN-13
9781780400280
Publisher
IWA Publishing
Imprint
IWA Publishing
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Sep 19th, 2011
Print length
177 Pages
Dimensions
23.40 x 15.60 x 1.80 cms
Product Classification:
Water industriesDrought & water supplyWater supply & treatment
Ksh 24,300.00
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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.
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.
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