Articles | Volume 11, issue 1
Drink. Water Eng. Sci., 11, 49–65, 2018
https://doi.org/10.5194/dwes-11-49-2018
Drink. Water Eng. Sci., 11, 49–65, 2018
https://doi.org/10.5194/dwes-11-49-2018

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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Cited articles

Bahadur, R., Johnson, J., Janke, R., and Samuels, W. B.: Impact of model skeletonization on water distribution model parameters as related to water quality and contaminant consequence assessment, Water Distribution System Analysis Symp. 2006, 27–30 August 2006, Cincinnati, OH, USA, ASCE, Reston, VA, USA, https://doi.org/10.1061/40941(247)64, 2008. a, b, c
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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.