Forecasting performance of algae blooms based on artificial neural networks and automatic observation system

In recent, South Korea has faced on water quality management problems in reservoir and river because of increasing water temperature (Tw) and rainfall frequency caused by climate change. For these reasons, South Korea has set up automatic water quality monitoring system for preventing early algae bl...

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Veröffentlicht in:	Desalination and water treatment 2012-01, Vol.38 (1-3), p.293-301
Hauptverfasser:	Kim, Mi Eun, Shon, Tae Seok, Min, Kyung Sok, Shin, Hyun Suk
Format:	Artikel
Sprache:	eng
Schlagworte:	Algae Algae bloom Applied sciences Artificial neural network Artificial neural networks Blooms Chlorophyll-a Exact sciences and technology Forecasting Mathematical models Pollution Reservoirs Rivers Water quality Water treatment and pollution
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