AWWA WSC67775

This powerpoint presentation presents research that studies the impacts of imperfect sensor measurements (false positive/negative readings) on the contamination source identification. A probabilistic approach based on Bayes' theorem is applied to estimate the probability of a contamination source. It can be implemented in real time and it is computationally efficient. A metric is proposed to evaluate the performance of the algorithm (accuracy and specificity). Includes 3 references, figures.