Open AccessIdentifying Critical Components in Water Networks Using Time-Dependent Data
Author(s) -
Nazli Yonca Aydin
Publication year - 2018
Publication title -
epic series in engineering
Language(s) - English
Resource type - Conference proceedings
ISSN - 2516-2330
DOI - 10.29007/pjhc
Subject(s) - resilience (materials science) , water supply , weighting , computer science , population , water supply network , risk analysis (engineering) , environmental science , business , environmental engineering , medicine , physics , demography , sociology , radiology , thermodynamics
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.