Data mining to identify contaminant event locations in water distribution systems

Journal of Water Resources Planning and Management

Volumn 135, Issue 6, 2009, Pages 466-474

  Huang, Jinhui Jeanne ^a   McBean, Edward A ^b  

^a WSP   (United Kingdom)

^b UNIVERSITY OF GUELPH   (Canada)

Author keywords

Data collection; Uncertainty principles; Water distribution systems; Water pollution; Water quality

Indexed keywords

BACKFLOW; DATA COLLECTION; DATA MINING METHODS; DRINKING WATER; EVENT LOCATION; IDENTIFICATION PROBLEM; INTRUSION EVENTS; MULTIPLE INJECTIONS; SENSOR DATA; SENSOR MEASUREMENTS; SOURCES OF UNCERTAINTY; TERRORIST THREATS; UNCERTAINTY PRINCIPLES; WATER DEMAND; WATER DISTRIBUTION NETWORKS;

DATA ACQUISITION; DISTRIBUTED PARAMETER NETWORKS; LOCATION; MAXIMUM LIKELIHOOD; MINING; OIL SPILLS; POTABLE WATER; SENSOR NETWORKS; SENSORS; UNCERTAINTY ANALYSIS; WATER INJECTION; WATER POLLUTION; WATER QUALITY; WATER SUPPLY;

WATER DISTRIBUTION SYSTEMS;

DATA MINING; DRINKING WATER; UNCERTAINTY ANALYSIS; WATER POLLUTION; WATER QUALITY; WATER SUPPLY;

EID: 70350391726     PISSN: 07339496     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9496(2009)135:6(466)     Document Type: Article

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