Classification - Optimization model for contamination event detection in water distribution systems

World Environmental and Water Resources Congress 2013: Showcasing the Future - Proceedings of the 2013 Congress

Volumn , Issue , 2013, Pages 626-636

  Oliker, Nurit ^a   Ostfeld, Avi ^a  

^a TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); DECISION SUPPORT SYSTEMS; SUPPORT VECTOR MACHINES; WATER DISTRIBUTION SYSTEMS;

CONTAMINATION EVENTS; HIGH DIMENSIONAL SPACES; MODELING FEATURES; MULTIVARIATE DATA; OPTIMIZATION MODELING; PARALLEL ANALYSIS; SEQUENCE ANALYSIS; SIMULTANEOUS ANALYSIS;

WATER RESOURCES;

EID: 84887460874     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/9780784412947.061     Document Type: Conference Paper

References (7)

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3. CANARY. Event Detection Software, EPA (2010). Sandia Corporation, Website: https://software.sandia.gov/trac/canary
4. Deb K. (2001). "Multi-objective optimization using evolutionary algorithms." John Wiley &Sons, Inc., ISBN 047187339
5. Klise K. A.; McKenna S. A. Multivariate application for detecting anomalous water quality. Proc. of the 8th An. W. Dis. Sys. An. Symp., WDSA, Cincinnati, Ohio, USA, 2006.
6. Kroll, D. J. Securing our water supply: Protecting a Vulnerable Resource. PennWell Corporation, Tulsa, Oklahoma, 2006.
7. USEPA. "WaterSentinel: Online Water Quality Monitoring as an Indicator of Drinking Water Contamination", 2005a.