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Wałeckie środowisko olimpijskie

100%

Gniot R.

Zeszyty Naukowe. Prace Instytutu Kultury Fizycznej. Uniwersytet Szczeciński

2009

nr 26(583)

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

63%

Mozejko J., Gniot R.

Polish Journal of Environmental Studies

2008

tom 17

nr 3

363-368

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.

Ograniczanie wyników

1 Polish Journal of Environmental Studies

1 Zeszyty Naukowe. Prace Instytutu Kultury Fizycznej. Uniwersytet Szczeciński

2 Gniot R.

1 Mozejko J.

1 2009

1 2008

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Wałeckie środowisko olimpijskie

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