A network theoretical approach to identify vulnerabilities of urban drainage networks against structural failures

Paria Hajiamoosha, Christian Urich

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Abstract

This paper compares two different representations (primal-mapping and dual-mapping) and applies a range of topological metrics to analysis the vulnerability of an urban drainage network (UDN) against structural failures, which is examined in the Elster Creek catchment. Based on the node degree distribution, the properties of the dual graph are similar to a scale-free network while the primal graph behaves like a random network. Further, the results show that the structure of the dual graph has better connectivity and redundancy compared to the structure of the primal graph. To identify vulnerabilities this paper test’s a new centrality metrics, that modifies betweenness centrality based on the UDN’s performance. This new metric ranks the most vulnerable conduit in the UDN. To validate the ranking a hydrodynamic model is used as a reference. The results show the significance of the structural metric in identifying critical components of the UDN and suggest a dual representation is an appropriate method for investigating vulnerabilities of an UDN against structural failures.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
EditorsHocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
PublisherSpringer-Praxis
Pages919-930
Number of pages12
ISBN (Print)9783030366827
DOIs
Publication statusPublished - 2020
EventInternational Conference on Complex Networks and their Applications 2019 - Lisbon, Portugal
Duration: 10 Dec 201912 Dec 2019
Conference number: 8th
https://www.2019.complexnetworks.org/index

Publication series

NameStudies in Computational Intelligence
Volume882 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

ConferenceInternational Conference on Complex Networks and their Applications 2019
Abbreviated titleCOMPLEX NETWORKS 2019
CountryPortugal
CityLisbon
Period10/12/1912/12/19
Internet address

Keywords

  • Graph modelling
  • Network science
  • Urban drainage network
  • Vulnerability

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