Measuring robustness of water distribution networks using informational entropy

Seyed Ashkan Zarghami, Indra Gunawan, Frank Schultmann

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Researchers are recognizing that the robustness evaluation of Water Distribution Networks (WDNs) is of great importance for reducing the impact of disruptive events. Yet, very few methods to measure the robustness of WDNs have been developed. These methods mainly focus on topological attributes and fail to provide a comprehensive picture of the robustness characteristics of WDNs. The work described herein proposes a new robustness index to measure the heterogeneity of WDNs drawing on informational entropy theory. The paper attempts to shift away from an exclusive topological viewpoint or a pure hydraulic approach, towards a combined topological and hydraulic analysis. The main emphasis is on the influence of an individual node on the overall network performance. The use of the proposed index is illustrated with a real-world WDN of an Australian town. The results highlight the significance of integrating the topological and hydraulic metrics for a reliable assessment of robustness in WDNs.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Industrial Engineering and Operations Management, IEOM 2018
PublisherIEOM Society
Pages3331-3339
Number of pages9
ISBN (Print)9781532359446
Publication statusPublished - 6 Mar 2018
Externally publishedYes
Event8th International Conference on Industrial Engineering and Operations Management, IEOM 2018 - Bandung, Indonesia
Duration: 6 Mar 20188 Mar 2018

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
Volume2018-March
ISSN (Electronic)2169-8767

Conference

Conference8th International Conference on Industrial Engineering and Operations Management, IEOM 2018
CountryIndonesia
CityBandung
Period6/03/188/03/18

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Keywords

  • Degree distribution
  • Demand fraction
  • Informational entropy
  • Robustness
  • Water distribution networks

Cite this

Zarghami, S. A., Gunawan, I., & Schultmann, F. (2018). Measuring robustness of water distribution networks using informational entropy. In Proceedings of the International Conference on Industrial Engineering and Operations Management, IEOM 2018 (pp. 3331-3339). (Proceedings of the International Conference on Industrial Engineering and Operations Management; Vol. 2018-March). IEOM Society.