Application of neural networks for the prediction of total phosphorus concentrations in surface waters

• Autorzy: Mozejko J , Gniot R.
• Języki publikacji: EN

Abstrakty

EN

This paper describes the application of artificial neural networks (ANNs) for the time series modeling of total phosphorous concentrations in the Odra River. Data from the monitoring site Police in the lower part of the Odra were used for training, validating and testing the models. Two models are proposed to prove the satisfactory forecast of phosphorus concentrations: a simpler one with a single input variable and a more complex one with 14 input variables. Both ANN models show a high ability to predict from the new data set. On the basis of sensitivity analysis the relationships between phosphorus concentrations and other water quality variables were established.

Słowa kluczowe

EN

neural network; prediction; total phosphorus; phosphorus concentration; surface water; Odra River; ecosystem

• Wydawca: -
• Czasopismo: Polish Journal of Environmental Studies
• Rocznik: 2008
• Tom: 17
• Numer: 3
• Strony: 363-368
• Opis fizyczny: p.363-368,fig.,ref.

Twórcy

autor

Mozejko J

• Szczecin University of Technology, Al.Piastow 42, 71-065 Szczecin, Poland

autor

Gniot R.

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