Application of parallel computing in data mining for contaminant source identification in water distribution systems

Canadian Water Resources Journal

Volumn 38, Issue 1, 2013, Pages 34-39

  Shen, Hailiang ^a   McBean, Edward A ^a  

^a UNIVERSITY OF GUELPH   (Canada)

Author keywords

Contaminant source identification; EPANET; False negative; False positive; Parallel computing; Uncertainty

Indexed keywords

CONTAMINANT SOURCE IDENTIFICATIONS; EPANET; FALSE NEGATIVES; FALSE POSITIVE; UNCERTAINTY;

COMPUTER SIMULATION; PARALLEL ARCHITECTURES; PARALLEL PROCESSING SYSTEMS; UNCERTAINTY ANALYSIS; WATER DISTRIBUTION SYSTEMS;

CONTAMINATION;

EID: 84880945714     PISSN: 07011784     EISSN: None     Source Type: Journal    
DOI: 10.1080/07011784.2013.773658     Document Type: Article

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