AWWA WSC67775

AWWA WSC67775 On Contamination Source Identification with Imperfect Sensor Network
Conference Proceeding by American Water Works Association, 04/01/2008

De Sanctis, A.E.; Boccelli, D.L.; Shang, F.; Uber, J.G.

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This powerpoint presentation presents research that studies the impacts of imperfect sensor measurements (falsepositive/negative readings) on the contamination source identification.A probabilistic approach based on Bayes' theorem is applied to estimate theprobability 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 andspecificity). Includes 3 references, figures.