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Assessing the Resilience of Water Distribution Networks Under Different Sensor Network Architectures and Data Sampling Frequencies

Author(s): Siling Chen; F. Brokhausen; P. Wiesner; L. Thamsen; A. Cominola

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Keywords: Smart urban water management; Resilience assessment; Water distribution networks; Sensor networks


Leakages and other infrastructure failures represent major challenges confronting the reliability, efficiency, and resilience of water distribution networks (WDNs). Timely identification and accurate localization of these anomalies is paramount to mitigate water and revenue losses, and avoid unwanted cascading effects. Previous resilience studies have demonstrated that the topology of WDNs affects their resilience, for instance to pipe failures. Moreover, several methodologies have been proposed in the last decades to identify optimal sensor locations in a WDN and monitor physical variables (e. g., pressure, flow, concentration of contaminants) in relation to specific objectives, including water contamination monitoring and leakage detection. Yet, most of the studies on optimal sensor placement in WDNs assume constant data logging frequency or number of available sensors, and do not comparatively analyze the influence of different sensor network architectures in relation to different WDN topologies. Here, we develop a simulation-based approach for WDN resilience assessment to quantify the influence and trade-offs of different sensor network architectures, data sampling frequencies, and WDN topologies on automatic leakage identification and localization capabilities.


Year: 2021

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