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Infrastructure Resilience Conference 2018

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Changes in Critical Functionality and Operational Resilience of Water Networks

Water supply systems are in stress due to population growth, climate change, increased duration and intensity of natural disasters, aging infrastructures all of which have adverse impacts on the operations of water distribution systems (WDSs) causing failures, short or long-term disruptions. Evaluating the performance of WDSs and planning for resilient urban water infrastructure for future populations are becoming a priority among developed countries. The major challenge with this goal is quantifying and measuring resilience for urban water infrastructure. The performance of a WDS under disruptions needs to be evaluated in terms of changes in the critical functionality of each network component for the extended period of time. There is no universal agreement on measuring critical functionality or defining “acceptable” level of services for the reliability or resilience evaluations. In literature, resilience evaluations are based on simulation approaches or graph theory. While simulation approaches rely on different failure scenarios and estimating hydraulic and water quality parameters, graph theory is used to measure connectivity indices such as meshedness coefficient, algebraic connectivity, and flow entropy. There is a need to identify a comprehensive resilience method considering for both critical functionalities and operational resilience of WDSs together. In this study, the aim is to evaluate the structural and operational resilience of water supply systems, which enable identifying the most critical locations as well as assessing different water management strategies for WDSs. Critical functionalities of network components are identified in topological point of view using graph theory metrics. Changes in critical functionality after each disruption evaluated to observe the performance of each network component while resilience is investigated extended period of time using EPANET software to simulate the WDS’s recovery performance of providing an acceptable level of services after a disruption. Disruptions are identified using scenario analysis approach to reflect the impact of different water stressors on WDS. The results can assist authorities, decision makers and companies in preparing strategic recovery plans for certain disruption scenario as well as in enhancing the resilience of future water supply systems.

Nazli Aydin
ETH-Zurich
Singapore

 

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