Stochastic Water Demand Modelling

URL: http://www.iwapublishing.com/books/9781780400280/stochastic-water-demand-modelling

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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Additional Information

Field Value
Last updated June 16, 2016
Created June 16, 2016
Format unknown
License No License Provided
created over 2 years ago
id e9689954-0b45-4def-abda-48b321031c75
openAccess false
package id b0b32b0f-aa1a-43fe-9de8-0d6fcc872fb8
position 5
revision id f0a5a351-7af0-466a-aa97-47988e9757d6
state active
tags Water Distribution Networks,water quality
topic Water supply and distribution
type Book
year 2,011