Journal article
Coherent structures in wind shear induced wave-turbulence-vegetation interaction in water bodies
Agricultural and forest meteorology, Vol.255, pp.57-67
05/28/2018
DOI: 10.1016/j.agrformet.2017.08.014
Abstract
Flume experiments with particle imaging velocimetry (Ply) 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.
Details
- Title: Subtitle
- Coherent structures in wind shear induced wave-turbulence-vegetation interaction in water bodies
- Creators
- Tirtha Banerjee - Karlsruhe Institute of TechnologyNikki Vercauteren - Freie Universität BerlinMarian Muste - University of IowaDi Yang - University of Houston
- Resource Type
- Journal article
- Publication Details
- Agricultural and forest meteorology, Vol.255, pp.57-67
- DOI
- 10.1016/j.agrformet.2017.08.014
- ISSN
- 0168-1923
- eISSN
- 1873-2240
- Publisher
- Elsevier
- Number of pages
- 11
- Grant note
- University of Houston
- Language
- English
- Date published
- 05/28/2018
- Academic Unit
- IIHR--Hydroscience and Engineering; Geographical and Sustainability Sciences
- Record Identifier
- 9984459631602771
Metrics
8 Record Views