The Rhine River is a vital waterway in Europe, crucial for navigation, hydropower generation, and ecosystem health. Thus, accurately forecasting its streamflow is essential for effective water resource management. This study explored the utilization of several Machine Learning (ML) techniques including Multi-layer Perceptron (MLP), Support Vector Regression (SVR), K-Nearest Neighbor (KNN), and eXtreme Gradient Boosting (XGBoos...

The effects of advective pore water exchange driven by shallow water waves on the oxygen distribution in a permeable (k = 3.3 x 10 −12 to 4.9 x 10 −11 m 2 ) natural sediment were studied with a planar oxygen optode in a wave tank. Our experiments demonstrate that pore water flow driven by the interaction of sediment topography and oscillating boundary flow changes the spatial and temporal oxygen distribution in the upper sedim...

The effects of surface gravity waves on pore‐water release from permeable sediment (k = 1.3–1.8 × 10 −11 m 2 ) in shallow water were studied in a wave tank. Our tracer experiments demonstrated that shallow‐water waves can increase fluid exchange between sandy sediment and overlying water 50‐fold, relative to the exchange by molecular diffusion. The main driving force for this increased exchange are the pressure gradients gener...