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
https://doi.org/10.5194/dwes-11-49-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
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

Viewed

Total article views: 6,809 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
5,678 1,044 87 6,809 283 77 113
  • HTML: 5,678
  • PDF: 1,044
  • XML: 87
  • Total: 6,809
  • Supplement: 283
  • BibTeX: 77
  • EndNote: 113
Views and downloads (calculated since 04 Jan 2018)
Cumulative views and downloads (calculated since 04 Jan 2018)

Viewed (geographical distribution)

Total article views: 6,809 (including HTML, PDF, and XML) Thereof 5,178 with geography defined and 1,631 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 Jul 2025
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.
Read more
Share