Year 2022

• Predicting Ice Phenomena in a River Using the Artificial Neural Network and Extreme Gradient Boosting

  Publication

  • R. Graf
  • T. Kolerski
  • S. Zhu

  - Resources-Basel - Year 2022

  Forecasting ice phenomena in river systems is of great importance because these phenomena are a fundamental part of the hydrological regime. Due to the stochasticity of ice phenomena, their prediction is a difficult process, especially when data sets are sparse or incomplete. In this study, two machine learning models—Multilayer Perceptron Neural Network (MLPNN) and Extreme Gradient Boosting (XGBoost)—were developed to predict...

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Year 2021

• Is the microfiltration process suitable as a method of removing suspended solids from rainwater?

  Publication

  • K. Fitobór
  • B. Quant

  - Resources-Basel - Year 2021

  Due to climate change and anthropogenic pressure, freshwater availability is declining in areas where it has not been noticeable so far. As a result, the demands for alternative sources of safe drinking water and effective methods of purification are growing. A solution worth considering is the treatment of rainwater by microfiltration. This study presents the results of selected analyses of rainwater runoff, collected from the...

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• Micro and Macroelements in Honey and Atmospheric Pollution (NW and Central Poland)

  Publication

  • M. Gałczyńska
  • R. Gamrat
  • M. Bosiacki
  • Z. Sotek
  • M. Stasińska
  • I. D. Ochmian

  - Resources-Basel - Year 2021

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