Real-time implementation of contamination source identification method for water distribution systems

Annamaria E. De Sanctis, Sam Hachett, James G. Uber, Dominic L. Boccelli, Feng Shang

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

1 Scopus citations

Abstract

A contamination source identification methodology should be continuously run in real time to provide timely information about contamination event status. The method should be robust with respect to uncertainty and variability in factors affecting the network hydraulic model. This work assesses the impact of hydraulic modeling errors on the performance of a source identification algorithm. Preliminary results evaluate the effect of demand estimation errors on the performance of the identification algorithm. Results suggest the source identification method can be robust to the types of errors investigated. It is stressed, however, that broader conclusions can not be drawn, because the tests consider only one network test case, and the true statistical characteristics of stochastic demands are unknown. Furthermore, the particular example chosen assumes optimistic scenarios for demand estimation. The results provide a methodology and motivation for continuing to investigate the true performance characteristics of real-time contamination source identification algorithms.

Original languageEnglish (US)
Title of host publicationProceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009
Subtitle of host publicationGreat Rivers
Pages544-553
Number of pages10
DOIs
StatePublished - 2009
Externally publishedYes
EventWorld Environmental and Water Resources Congress 2009: Great Rivers - Kansas City, MO, United States
Duration: May 17 2009May 21 2009

Publication series

NameProceedings of World Environmental and Water Resources Congress 2009 - World Environmental and Water Resources Congress 2009: Great Rivers
Volume342

Other

OtherWorld Environmental and Water Resources Congress 2009: Great Rivers
Country/TerritoryUnited States
CityKansas City, MO
Period5/17/095/21/09

Keywords

  • Contamination source identification
  • Real-time calibration model

ASJC Scopus subject areas

  • General Environmental Science

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