Rok 2022

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

  Publikacja

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

  - Resources-Basel - Rok 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...

  Pełny tekst do pobrania w portalu

Rok 2021

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

  Publikacja

  • K. Fitobór
  • B. Quant

  - Resources-Basel - Rok 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...

  Pełny tekst do pobrania w portalu