Keylock2020_Article_AJointVelocity-intermittencyAn.pdf (2.7 MB)
A joint velocity-intermittency analysis reveals similarity in the vertical structure of atmospheric and hydrospheric canopy turbulence
journal contribution
posted on 2019-08-06, 08:15 authored by Chris KeylockChris Keylock, Marco Ghisalberti, Gabriel G Katul, Heidi M NepfTurbulent fow through and over vegetation continues to draw signifcant research attention
given its relevance to a plethora of applications in earth and environmental science. Canopy
fows are characterized by three-dimensional coherent vortical motions not directly accessible from single-point measurements, which pose a challenge to formalizing links between
vegetation structure and turbulent motion. A joint velocity-intermittency technique is
applied to velocity data collected within and above aquatic vegetation in a hydraulic fume
and above a forested canopy. The approach reveals behavior that provides greater insight
into canopy fow dynamics than may be inferred from the vertical profles of mean velocity, turbulence intensity and Reynolds stresses, which are the quantities usually studied.
There is a remarkable similarity in the structure of such fows between the forest canopy
and the fume study despite large diferences in morphology and stem rigidity. In particular, these results determine an outer fow type arising above 1.5 canopy heights, while turbulent in-rushing events are most signifcant at the zero-plane displacement. The approach
also implies ways in which improved models for canopy turbulence may be developed.
History
School
- Architecture, Building and Civil Engineering
Published in
Environmental Fluid MechanicsVolume
20Issue
1Pages
77 - 101Publisher
Springer Science and Business Media LLCVersion
- VoR (Version of Record)
Rights holder
© The AuthorsPublisher statement
This is an Open Access Article. It is published by Springer under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/Acceptance date
2019-05-31Publication date
2019-07-04Copyright date
2019ISSN
1567-7419eISSN
1573-1510Publisher version
Language
- en
Depositor
Prof Chris KeylockUsage metrics
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