Articles | Volume 11, issue 1
https://doi.org/10.5194/dwes-11-67-2018
https://doi.org/10.5194/dwes-11-67-2018
Research article
 | 
15 May 2018
Research article |  | 15 May 2018

Algorithms for optimization of branching gravity-driven water networks

Ian Dardani and Gerard F. Jones

Viewed

Total article views: 6,067 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,253 709 105 6,067 92 102
  • HTML: 5,253
  • PDF: 709
  • XML: 105
  • Total: 6,067
  • BibTeX: 92
  • EndNote: 102
Views and downloads (calculated since 24 Feb 2017)
Cumulative views and downloads (calculated since 24 Feb 2017)

Viewed (geographical distribution)

Total article views: 6,067 (including HTML, PDF, and XML) Thereof 4,688 with geography defined and 1,379 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
Short summary
This work is an outgrowth of engineering service learning at Villanova University in Pennsylvania, USA. Teams of students assess and collect data on site, and design and communicate information for clean water networks that benefit developing areas around the world. The design of a water network requires the selection of pipe diameters that satisfy pressure and flow requirements while minimizing cost. This work contrasts and compares results of several models and makes key recommendations.