Real-time detection of sanitary sewer overflows using neural networks and time series analysis

Journal of Environmental Engineering

Volumn 133, Issue 4, 2007, Pages 353-363

  Sumer, Derya ^a,b   Gonzalez, Javier ^c   Lansey, Kevin ^b  

^a CH2M HILL   (United States)

^b University of Arizona   (United States)

^c UNIVERSITY OF CASTILLA LA MANCHA   (Spain)

Author keywords

Combined sewer overflow; Neural networks; Numerical models; Predictions; Time series analysis

Indexed keywords

COMBINED SEWER OVERFLOW; CONTROL LIMIT THEORY; MULTIPLE MONITOR SYSTEM;

COMBINED SEWERS; HEALTH RISKS; MATHEMATICAL MODELS; NEURAL NETWORKS; NUMERICAL METHODS; TIME SERIES ANALYSIS;

SANITARY SEWERS;

COMBINED SEWERS; HEALTH RISKS; MATHEMATICAL MODELS; NEURAL NETWORKS; NUMERICAL METHODS; SANITARY SEWERS; TIME SERIES ANALYSIS;

ENVIRONMENTAL MONITORING; HEALTH RISK; PREDICTION; REAL TIME; SANITATION; TIME SERIES; WASTE MANAGEMENT; WASTEWATER;

PIMA;

EID: 34547638084     PISSN: 07339372     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)0733-9372(2007)133:4(353)     Document Type: Article

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