Data underlying the publication: Upgrading Existing Water Distribution Networks Using Cluster-Based Optimization Techniques

DOI:10.4121/49badc7f-096a-4f2d-bdf9-c9a6057d8576.v2
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/49badc7f-096a-4f2d-bdf9-c9a6057d8576

Datacite citation style

Hussein, Mustafa; R. Torkomany, Mohamed; Gooda, Essam (2025): Data underlying the publication: Upgrading Existing Water Distribution Networks Using Cluster-Based Optimization Techniques. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/49badc7f-096a-4f2d-bdf9-c9a6057d8576.v2
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 2 - 2025-03-10 (latest)
Version 1 - 2025-02-18

This dataset is the support material of the paper ''Upgrading Existing Water Distribution Networks Using Cluster-Based Optimization Techniques''. This research proposes a novel optimal upgrading methodology for WDNs, leveraging clustering principles from graph theory. The proposed methodology involves adding a new storage tank and rehabilitating selected pipes of an existing WDN.

History

  • 2025-02-18 first online
  • 2025-03-10 published, posted

Publisher

4TU.ResearchData

Format

xlsx file, epanet file

Organizations

Alexandria University, Faculty of Engineering, Department of Irrigation and Hydraulics

DATA

Files (6)