In this study, a general framework integrating a data-driven estimation model with sequential
probability updating is suggested for detecting quality faults in water distribution systems …

Drinking water distribution systems throughout the world supply water intermittently, leaving
pipes without pressure between supply cycles. Understanding the multiple mechanisms that …

In this study, a dynamic thresholds scheme is developed and demonstrated for
contamination event detection in water distribution systems. The developed methodology is …

Rapid contamination of drinking water in distribution and storage systems can occur due to
pressure drop, backflow, cross-connections, accidents, and bio-terrorism. Small volumes of …

Water is a resource that affects every aspect of life. Intentional (terrorist or wartime events) or
accidental water contamination events could have a tremendous impact on public health …

This study presents a method for detecting contamination events of sources of drinking water
based on the Dempster–Shafer (DS) evidence theory. The detection method has the …

In the event of contamination in a water distribution network (WDN), source identification (SI)
methods that analyze sensor data can be used to identify the source location (s). Knowledge …

This study describes a decision support system, alerts for contamination events in water
distribution systems. The developed model comprises a weighted support vector machine …

This work describes a model-based approach for contamination event detection in water
distribution systems using chlorine mea-surements. The proposed method considers the …

Placement of water quality sensors in a water distribution system is a common approach for
minimizing contamination intrusion risks. This study incorporates detailed chemistry of …