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Effects of vegetation canopy density and bank angle on near-bank patterns of turbulence and Reynolds stresses

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https://ir.library.oregonstate.edu/concern/articles/cj82k821x

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Abstract
  • Vegetation growing on the surface of a streambank has been shown to alter the shear stresses applied to the boundary, but basic questions remain regarding the influence of vegetation and streambank configurations on near-bank hydraulics. In the present study, Froude-scaled flume experiments were used to investigate how changes in vegetation density (ratio of frontal area to channel area, including both stems and leaves) and bank surface angle influence near-bank turbulence intensities (RMS[subscript u,v,w]) and Reynolds stresses (τ[subscript uv] and τ[subscript uw]) estimated using velocities obtained with an acoustic Doppler velocimeter positioned beneath the canopy. Results illustrate how, with increasing vegetation density, turbulence intensities and Reynolds stresses decreased along the sloped bank surface but increased at the base of the slope and within the main channel. The steeper bank angle resulted in greater vertical stresses on the bank surface than the shallower angle, but lateral momentum exchange was larger than vertical exchange along the base of the slope, regardless of bank angle. Leaves were an important influence on near-bank turbulence intensities and Reynolds stresses, while the influence of bank slope was small relative to the influence of vegetation density.
  • This is the author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the American Society of Civil Engineers and can be found at: ASCE Civil Engineering Database(http://cedb.asce.org).
  • Keywords: Stream bank, Vegetation density, Turbulence intensity, Riparian vegetation, Reynolds stress
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  • Czarnomski, N. M., Tullos, D. D., Thomas, R. E., & Simon, A. (2012). Effects of vegetation canopy density and bank angle on near-bank patterns of turbulence and reynolds stresses. Journal of Hydraulic Engineering, 138(11), 974-978.
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  • 138
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  • 11
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  • Support for this research was provided by an NSF IGERT graduate fellowship (NSF award 0333257) in the Ecosystem Informatics IGERT program at Oregon State University and the USDA-ARS National Sedimentation Laboratory at Oxford, Mississippi.
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