Contamination Source Identification: A Bayesian Framework Integrating Physical and Statistical Models

Contamination in the water distribution network poses a serious threat to this critical infrastructure. Detecting contamination sources promptly and accurately, so that remedial action can be taken, is highly desirable. Traditional methods mainly address the source detection problem by brute-force forward simulations, followed by applying statistical or optimization techniques to massive simulatio...