Banerjee, T. and Vercauteren, N. and Muste, M. and Yang, D. (2018) Coherent structures in wind shear induced wave-turbulence-vegetation interaction in water bodies. Agricultural and Forest Meteorology, 255 . pp. 57-67. ISSN 0168-1923
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Official URL: https://doi.org/10.1016/j.agrformet.2017.08.014
Abstract
Flume experiments with particle imaging velocimetry (PIV) were conducted recently to study a complex flow problem where wind shear acts on the surface of a static water body in presence of flexible emergent vegetation and induces a rich dynamics of wave–turbulence–vegetation interaction inside the water body without any gravitational gradient. The experiments were aimed at mimicking realistic vegetated wetlands and the present work is targeted to improve the understanding of the coherent structures associated with this interaction by employing a combination of techniques such as quadrant analysis, proper orthogonal decomposition (POD), Shannon entropy and mutual information content (MIC). The turbulent transfer of momentum is found to be dominated by organized motions such as sweeps and ejections, while the wave component of vertical momentum transport does not show any such preference. Reducing the data using POD shows that wave energy for large flow depths and turbulent energy for all water depths is concentrated among the top few modes, which can allow development of simple reduced order models. Vegetation flexibility is found to induce several roll type structures, however if the vegetation density is increased, drag effects dominate over flexibility and organize the flow. The interaction between waves and turbulence is also found to be highest among flexible sparse vegetation. However, rapidly evolving parts of the flow such as the air–water interface reduces wave–turbulence interaction.
Item Type: | Article |
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Uncontrolled Keywords: | Coherent structures Flexible emergent vegetation PIV POD Quadrant analysis Shannon entropy Wave–turbulence interaction Wind induced flow |
Subjects: | Mathematical and Computer Sciences > Mathematics > Applied Mathematics |
Divisions: | Department of Mathematics and Computer Science > Institute of Mathematics > Geophysical Fluid Dynamics Group |
ID Code: | 2185 |
Deposited By: | Ulrike Eickers |
Deposited On: | 25 Jan 2018 13:37 |
Last Modified: | 07 Aug 2018 08:50 |
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