Title of article
Effects of LiDAR-derived, spatially distributed vegetation roughness on two-dimensional hydraulics in a gravel-cobble river at flows of 0.2 to 20 times bankfull
Author/Authors
Abu-Aly، نويسنده , , T.R. and Pasternack، نويسنده , , G.B. and Wyrick، نويسنده , , J.R. and Barker، نويسنده , , R. and Massa، نويسنده , , D. and Johnson، نويسنده , , T.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2014
Pages
15
From page
468
To page
482
Abstract
The spatially distributed effects of riparian vegetation on fluvial hydrodynamics during low flows to large floods are poorly documented. Drawing on a LiDAR-derived, meter-scale resolution raster of vegetation canopy height as well as an existing algorithm to spatially distribute stage-dependent channel roughness, this study developed a meter-scale two-dimensional hydrodynamic model of ~ 28.3 km of a gravel/cobble-bed river corridor for flows ranging from 0.2 to 20 times bankfull discharge, with and without spatially distributed vegetation roughness. Results were analyzed to gain insight into stage-dependent and scale-dependent effects of vegetation on velocities, depths, and flow patterns. At the floodplain filling flow of 597.49 m3/s, adding spatially distributed vegetation roughness parameters caused 8.0 and 7.4% increases in wetted area and mean depth, respectively, while mean velocity decreased 17.5%. Vegetation has a strong channelization effect on the flow, increasing the difference between mid-channel and bank velocities. It also diverted flow away from densely vegetated areas. On the floodplain, vegetation stands caused high velocity preferential flow paths that were otherwise unaccounted for in the unvegetated model runs. For the river as a whole, as discharge increases, overall roughness increases as well, contrary to popular conception.
Keywords
Hydraulic roughness , Floodplain hydraulics , Hydraulic Modeling , River velocity , Gravel-bed rivers , River vegetation
Journal title
Geomorphology
Serial Year
2014
Journal title
Geomorphology
Record number
2366937
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