Available as an ebook
Please purchase via www.iwaponline.comOpens in new window
Also part of Water Intelligence Online Digital Reference Library
Standard ePrice: £69.00
+ VAT
Available as an ebook
Please purchase via www.iwaponline.comOpens in new window
Also part of Water Intelligence Online Digital Reference Library
Standard ePrice: £69.00
+ VAT
This title is eBook only.
The drinking water distribution system (DWDS) is a critical infrastructure and a costly asset with a life time of several decades. With rapidly changing urban environments and increasing technological innovation, drinking water demand is likely to change in the coming decades. However, quantifying these changes involves large uncertainties. This book develops a methodology to analyse the robustness of the DWDS to deal with a wide range of future water demands.
A stress test was developed to investigate the effects of a set of demand scenarios on the network performance. In a first stage ten scenarios considering technological and demographic changes were applied and in a second stage, a more in depth analysis comparing the performance of a looped versus a branched design was performed, simulating 30 patterns per connection.
The proposed “stress-test” showed to be a robust methodology to investigate functionality of the system under a broad range of changing water demand scenarios. Results showed that even in the most extreme scenarios management and operation of the network can be adapted or adjusted to cope with head losses, low velocities or long residence times.
Contents
Introduction; Stress-test to determine network robustness; Stress-test to determine network robustness – Two networks layouts and 30 scenarios; Transitions in the drinking water demand; Conclusions and recommendations; References
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...
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...
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