Publication

Abstract : The contamination in the Urban water distribution networks (WDNs) is a spontaneous event, and it can occur anytime and anywhere in a water distribution network. The contamination causes severe health impacts to an urban population. Therefore, IoT-based water quality sensors are used as the resilience tool for water distribution networks. Resilience includes contamination detection and localization. The placement of the water quality sensors in the water distribution network must be optimally planned as distribution networks are sensitive to invasive sensors, infrastructure aging, and the robustness of IoT sensor deployments. The proposed methodology identifies the sensor placement locations as the critical points in a particular water distribution network and analyzes the contamination scenarios for each critical point. The proposed method was applied to the benchmark water distribution system Net3 and the live network in Edakochi, Kerala (India). The results demonstrate the significant detection efficiency of the defined water quality sensor placement framework.