Abstract: Security issues have become increasingly important within drinking water distribution systems, leading to the development of event detection algorithms (EDAs) to provide timely detection of intrusion events. The current ...

Abstract: The use of drinking water distribution system models has been around for decades and requires good demand estimates to ensure adequate hydraulic and water quality representation. Traditional demand estimation processes are ...

Abstract: As utilities move toward more detailed hydraulic and water quality network models, the potential for the stochastic nature of consumptive demands having an effect on transport characteristics increases. A nonhomogeneous ...

Abstract: Drinking water distribution system models have been increasingly utilized in the development and implementation of contaminant warning systems. This study proposes a Bayesian approach for probabilistic contamination source ...

Abstract: The identification of monitoring or sensor locations, or demand estimation, within drinking water distribution systems can be challenging given the size of realistic network models. Approaches such as skeletonization or ...

Abstract: Security issues have become increasingly important within distribution systems, which have led to the development of event detection algorithms (EDAs) to provide timely detection of intrusion events. The current study ...

Abstract: Both inherent natural variability and model parameter uncertainty must be considered in the development of robust and reliable designs for drinking water treatment. This study presents an optimization framework for ...

Abstract: Consumer demand estimation is a key step in real-time drinking water system (DWS) modeling used for demand forecasting, optimal operations, and water quality management. Consumer nodes in a DWS are generally clustered to ...