Articles | Volume 11, issue 1
https://doi.org/10.5194/dwes-11-49-2018
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

Viewed

Total article views: 6,319 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,313 943 63 6,319 235 57 84
  • HTML: 5,313
  • PDF: 943
  • XML: 63
  • Total: 6,319
  • Supplement: 235
  • BibTeX: 57
  • EndNote: 84
Views and downloads (calculated since 04 Jan 2018)
Cumulative views and downloads (calculated since 04 Jan 2018)

Viewed (geographical distribution)

Total article views: 6,319 (including HTML, PDF, and XML) Thereof 4,745 with geography defined and 1,574 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Apr 2024
Download
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.