Turbulence and Bed Load Transport in Channels With Randomly Distributed Emergent Patches of Model Vegetation
Name
2020-GRL-Shanetal.-Emergentpatchesofmodelvegetation.pdf
Description
Published version
Size
2.35 MB
Format
Adobe PDF
Checksum (MD5)
9e04ac8531d555a8ba1f25c67141309c
Author(s)
Shan, Yuqi
Zhao, Tian
Liu, Chao
Nepf, Heidi
Date Issued
June 2020
Journal
Geophysical Research Letters
Publisher
American Geophysical Union (AGU)
Citation
Shan, Y., Zhao, T., Liu, C., & Nepf, H. (2020). Turbulence and bed load transport in channels with randomly distributed emergent patches of model vegetation. Geophysical Research Letters, 47, e2020GL087055
Version
Final published version
Abstract
©2020. American Geophysical Union. All Rights Reserved. Laboratory experiments explored the impact of vegetation patchiness on channel-averaged turbulence and sediment transport. Stems were clustered into 16 randomly distributed circular patches of decreasing diameter. For the same channel velocity, the sediment transport increased with total stem number but decreased as stems were clustered into smaller patch diameters, occupying a smaller fraction of the bed area. The channel-averaged turbulence, which also declined with increased clustering, was shown to be a good predictor for sediment transport at the channel scale. Previous models for uniform vegetation were adapted to predict both the channel-averaged turbulence and sediment transport as a function of the total number of stems and degree of clustering, represented by the fraction of bed covered by patches. This provides a way for numerical modelers to represent the impact of subgrid-scale vegetation patchiness on sediment transport.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1029/2020GL087055
