Water Quality Event Detection in Drinking Water Network
2014
Zhao, Haifeng | Hou, Dibo | Huang, Pingjie | Zhang, Guangxin
Drinking water network is vulnerable to toxic chemicals. Anomaly detection-based event detection can provide reliable indication of contamination by analyzing the real-time water quality data, collected by online-distributed sensors in water network. This article reviews the water quality event detection methodologies based on the correlation of water quality parameters and contaminants. Further, we review how to reduce the impact of contamination in water distribution network, including sensor placement optimization and contamination source determination.
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