On contamination source identification with imperfect sensor network

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This research 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).

Original languageEnglish (US)
Title of host publicationAmerican Water Works Association - Water Security Congress 2008
Pages85-105
Number of pages21
StatePublished - 2008
Externally publishedYes
EventWater Security Congress 2008 - Cincinnati, OH, United States
Duration: Apr 6 2008Apr 8 2008

Publication series

NameAmerican Water Works Association - Water Security Congress 2008

Conference

ConferenceWater Security Congress 2008
Country/TerritoryUnited States
CityCincinnati, OH
Period4/6/084/8/08

ASJC Scopus subject areas

  • Water Science and Technology
  • Public Administration

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