Drinking Water Engineering and Science
Drinking Water Engineering and Science
Drinking Water Engineering and Science
Articles | Volume 11, issue 1
Articles | Volume 11, issue 1
Drink. Water Eng. Sci., 11, 49–65, 2018
https://doi.org/10.5194/dwes-11-49-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Drink. Water Eng. Sci., 11, 49–65, 2018
https://doi.org/10.5194/dwes-11-49-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 1
Research article
02 May 2018
Research article | 02 May 2018

The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies

Michael J. Davis and Robert Janke

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Latest update: 28 Sep 2022
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Short summary
Public drinking water distribution systems can be contaminated. Sensors designed to detect contaminants can provide warning through the use of a contamination warning system (CWS). A properly designed CWS may help reduce the consequences associated with contamination events. Various factors can affect the performance of a CWS design, our paper focuses on the accuracy with which the network model of a distribution system represents the actual structural details of the water distribution network.
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