<abstract xmlns="http://www.w3.org/1999/xhtml">This study investigated the possibility of using artificial neural networks to predict changes in the concentration of chloride ions in the urban ponds on the example of the inflow and outflow zones of water to and from the ponds Syrenie Stawy in Szczecin (NW-Poland). The possibility of using selected water quality indices (selected based on correlation matrix of water quality indices with Cl−), in particular: COD-Cr, BOD5, DO, water saturation by O2 and NO2− and their influence on the chloride concentration forecast was tested.</abstract>

This study investigated the possibility of using artificial neural networks to predict changes in the concentration of chloride ions in the urban ponds on the example of the inflow and outflow zones of water to and from the ponds Syrenie Stawy in Szczecin (NW-Poland). The possibility of using selected water quality indices (selected based on correlation matrix of water quality indices with Cl−), in particular: COD-Cr, BOD5, DO, water saturation by O2 and NO2− and their influence on the chloride concentration forecast was tested.

Prediction of the Seasonal Changes of the Chloride Concentrations in Urban Water Reservoir

Department of Chemistry and Natural Waters Management, Institute for Research on Biodiversity, Faculty of Biology

Ecological Chemistry and Engineering S

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This study investigated the possibility of using artificial neural networks to predict changes in the concentration of chloride ions in the urban ponds on the...

Prediction of the Seasonal Changes of the Chloride Concentrations in Urban Water Reservoir

Data publikacji: 19 sty 2018

Zakres stron: 595 - 611

DOI: https://doi.org/10.1515/eces-2017-0039

Słowa kluczowe
urban lake, water quality prediction, artificial neural network

© 2017 Tymoteusz Miller et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Prediction of the Seasonal Changes of the Chloride Concentrations in Urban Water Reservoir

Data publikacji: 19 sty 2018

Zakres stron: 595 - 611

DOI: https://doi.org/10.1515/eces-2017-0039

Słowa kluczoweurban lake, water quality prediction, artificial neural network

© 2017 Tymoteusz Miller et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
urban lake, water quality prediction, artificial neural network