This dataset was prepared to explore the effect of currents on wave dissipation by vegetation (hereafter referred as WDV) by conducting flume experiments with stiff plant mimics in combined wave-flow conditions. Two flume experiments with following and adverse currents were carried out respectively in a 40-m-long and 0.8-m-wide wave flume of the Fluid Mechanics Laboratory at Delft University of Technology and in a 26-m-long, 0.6-m-wide, 0.6-m-high wave flume in Sun Yat-sen University. Wave height data, velocity data and force data were obtained in these two flume experiments. Notably, drag coefficient data were calculated using calibration method and direct measurement method. The data sets presented here includes the wave data, velocity data, force data, velocity profile and drag coefficient.

Dataset to analyze a methodology to monitor bank erosion with an Unmanned Aerial Vehicle (UAV)

Wood transport in rivers, typically occurring during flood events, represents a relevant hazard for its potential to create obstruction at bridges and narrow cross-sections. Therefore, the understanding and prediction of entrainment and transport dynamics of woody material of different shapes, density and dimensions is of great interest for river managers. The paper presents results from laboratory experiments carried out to assess the entrainment conditions of large wood in lowland rivers, i.e. with negligible longitudinal slopes, relatively smooth bed and low flow Froude numbers. The tests were performed in a straight flume with fixed bed and smooth side walls for several flow conditions. Entrainment was studied for circular and square logs having different initial orientation. Integrating the results with other data available in the literature allowed to derive a semi-empirical entrainment threshold based on a force balance. This threshold is based on simple parameters, such as normal flow characteristics, log size and density as well as median diameter of bed sediments.