Time series forecasting of cyanobacteria blooms in the Crestuma Reservoir (Douro River, Portugal) using artificial neural networks

Environmental Management

Volumn 38, Issue 2, 2006, Pages 227-237

  Teles, Luis Oliva ^a,b   Vasconcelos, Vitor ^a,b   Pereira, Elisa ^b   Saker, Martin ^b  

^a UNIVERSITY OF PORTO   (Portugal)

^b UNIVERSITY OF PORTO   (Portugal)

Author keywords

Artificial reservoir; Cyanobacteria; Eutrophication; Forecasting; Modelling; Neural network; Water quality management

Indexed keywords

EUTROPHICATION; MATHEMATICAL MODELS; NEURAL NETWORKS; RESERVOIRS (WATER); RIVERS; TIME SERIES ANALYSIS;

ARTIFICIAL RESERVOIR; CYANOBACTERIA BLOOMS; TIME SERIES FORECASTING; WATER QUALITY MANAGEMENT;

BACTERIA;

ARTIFICIAL NEURAL NETWORK; CYANOBACTERIUM; DRINKING WATER; FORECASTING METHOD; NETWORK ANALYSIS; RESERVOIR; TIME SERIES; WATER QUALITY; WATER TREATMENT;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIAL COUNT; CYANOBACTERIUM; INFORMATION PROCESSING; NONHUMAN; TIME SERIES ANALYSIS; VALIDATION PROCESS; WATER SUPPLY; WATER TREATMENT;

DOURO RIVER; EURASIA; EUROPE; PORTO [PORTUGAL]; PORTUGAL; SOUTHERN EUROPE;

CYANOBACTERIA;

EID: 33745323400     PISSN: 0364152X     EISSN: 14321009     Source Type: Journal    
DOI: 10.1007/s00267-005-0074-9     Document Type: Article

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