Identifying Critical Components in Water Networks Using Time-Dependent Data

8 pages•Published: September 20, 2018

Abstract

Water supply systems are under stress due to population increase, climate change, aging infrastructures, terrorist attacks etc. all of which have an impact on the operation of water infrastructures resulting in failures/disruptions. The aim of this research is to evaluate the structural and operational properties of water supply systems together and identify the most critical locations in water networks and evaluate the systems’ functionalities. Graph-based metrics, called the entropic degree, is used to identify the critical locations on different network structures using the flow as a weighting parameter on links. The results would assist authorities, decision-makers in strategic plans for prioritizing and rehabilitating network components, identifying vulnerable locations as well as in enhancing the resilience of future water supply systems.

Keyphrases: entropic degree, graph theory, time dependent data, water networks

In: Goffredo La Loggia, Gabriele Freni, Valeria Puleo and Mauro De Marchis (editors). HIC 2018. 13th International Conference on Hydroinformatics, vol 3, pages 123-130.

Links:	https://easychair.org/publications/paper/mDfN
	https://doi.org/10.29007/pjhc

BibTeX entry

@inproceedings{HIC2018:Identifying_Critical_Components_Water,
  author    = {Nazli Yonca Aydin},
  title     = {Identifying Critical Components in Water Networks Using Time-Dependent Data},
  booktitle = {HIC 2018. 13th International Conference on Hydroinformatics},
  editor    = {Goffredo La Loggia and Gabriele Freni and Valeria Puleo and Mauro De Marchis},
  series    = {EPiC Series in Engineering},
  volume    = {3},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2330},
  url       = {/publications/paper/mDfN},
  doi       = {10.29007/pjhc},
  pages     = {123-130},
  year      = {2018}}

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