Dynamics of shallow wakes on gravel-bed floodplains: dataset from field experiments

• Published in: Earth system science data 2021-04, Vol.13 (4), p.1519-1529
• Main Authors: Shumilova, Oleksandra O, Sukhodolov, Alexander N, Constantinescu, George S, MacVicar, Bruce J
• Format: Article
• Language: English
• Subjects: Advertising campaigns; Analysis; Channel morphology; Computational fluid dynamics; Datasets; Diameters; Driftwood; Dynamics; Experiments; Field tests; Floodplains; Fluid dynamics; Fluid flow; Free surfaces; Friction; Gravel; Hydrodynamics; Hydrologic data; Laboratories; Mathematical models; Morphology; Numerical models; Obstructions; Ocean surface topography; Porosity; Riparian vegetation; River networks; Rivers; Scaling; Submergence; Surveys; Turbulence; Vegetation; Velocity; Vortices; Wakes
• ISSN: 1866-3516; 1866-3508; 1866-3516
• DOI: 10.5194/essd-13-1519-2021

Natural dynamics of river floodplains are driven by the interaction of flow and patchy riparian vegetation, which has implications for channel morphology and diversity of riparian habitats. Fundamental mechanisms affecting the dynamics of flow in such systems are still not fully understood due to a lack of experimental data collected in natural environments that are free of the unavoidable scaling effects in laboratory studies. Here we present a detailed dataset on the hydrodynamics of shallow wake flows that develop behind solid and porous obstructions. The dataset was collected during a field experimental campaign carried out in a side branch of the gravel-bed Tagliamento River in northeast Italy. The dataset consists of 30 experimental runs in which we varied the diameter of the surface-mounted obstruction, its solid volume fraction, its porosity at the leading edge, the object's submergence and the approach velocity. Each run included: (1) measurements of mean velocity and turbulence in the longitudinal transect through the centreline of the flow with up to 25-30 sampling locations and from 8 to 10 lateral profiles measured at 14 locations, (2) detailed surveys of the free surface topography and (3) flow visualizations and video recordings of the wake patterns using a drone. The field scale of the experimental setup, precise control of the approach velocity, configuration of models and natural gravel-bed context for this experiment makes this dataset unique. Besides enabling the examination of scaling effects, these data also allow the verification of numerical models and provide insight into the effects of driftwood accumulations on the dynamics of wakes.