Near wake of emergent vegetation patches in shallow flow
Wunder, Sina; Trevisson, Michele; Heckele, Christoph; Chagot, Loïc; Murphy, Brendan; McLelland, Stuart; Moulin, Frédéric; Eiff, Olivier
Dr Stuart McLelland S.J.McLelland@hull.ac.uk
Deputy Director of the Energy and Environment Institute
Vegetation patches are particularly difficult to quantify in terms of flow resistance due to their complex geometry and topological behaviour under hydrodynamic loading. They not only influence the water level and mean velocities due to the drag they exert, but they also affect the turbulence and hence all transfer processes such as the sediment transport dynamics in the surrounding area. Existing studies dealing with the interaction of flow and vegetation concern mostly measurements of the drag of single plants followed by analyses of the flow through and above homogeneous canopies. However, studies of the flow around single patches are uncommon and are mostly restricted to arrays of cylindrical elements. For leafy plants there is very limited information and understanding of how the flow evolves through and around the plants. This work aims at filling these gaps via complementary physical lab-scale and numerical experiments of the flow through and around an artificial vegetation patch. The experimental work focuses on PIV measurements in the wake of the patches whereas the method of large-eddy simulation is employed to provide additional insights of the flow inside the patch. Here we focus on results based on the PIV measurements.
|Journal Article Type||Article|
|Journal||E3S Web of Conferences|
|Peer Reviewed||Peer Reviewed|
|APA6 Citation||Wunder, S., Trevisson, M., Heckele, C., Chagot, L., Murphy, B., McLelland, S., …Eiff, O. (2018). Near wake of emergent vegetation patches in shallow flow. E3S Web of Conferences, 40, https://doi.org/10.1051/e3sconf/20184002057|
|Keywords||River morphodynamics and restoration|
© The Authors, published by EDP Sciences, 2018
Licence Creative Commons
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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