首页|Bankfull shear velocity predicts em bedded ness and silt cover in gravel streambeds

Bankfull shear velocity predicts em bedded ness and silt cover in gravel streambeds

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  • Wiley
Excess fine sediment (<2 mm) deposition on gravel streambeds can degrade habitat quality for stream biota. Two measures of fine sediment deposition include embeddedness and silt cover (<62.5 mu m). Embeddedness measures fine sediment in interstitial pore spaces, whereas silt cover, primarily deposited during low flows, measures fine sediment draped on the streambed's surface. Here, we demonstrate that a baseline level of embeddedness and a maximum value of silt cover can be predicted from bankfull shear velocity, which can be estimated from river channel and streamflow characteristics, independently of knowing the sediment supply. We derive an equation for bankfull shear velocity that only requires knowing bankfull flow, channel width, and channel slope, which can be readily obtained in the United States from freely available, remotely sensed data. We apply this methodology to data collected at 30 sites in the Piedmont region of Virginia and North Carolina. This work is an important step in developing statistical models of stream ecosystems in which geophysical variables can predict embeddedness and silt cover, which commonly limit biotic assemblages.

colmationfine sedimentgravel-bed riversediment depositionsediment infiltrationsediment supplystream habitatwinnowing

Czuba, Jonathan A.、Hirschler, Mallory、Pratt, Elizabeth A.、Villamagna, Amy、Angermeier, Paul L.

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Virginia Tech, Dept Biol Syst Engn, Blacksburg, VA 24061 USA|Virginia Tech, Global Change Ctr, Blacksburg, VA USA

Plymouth State Univ, Dept Environm Sci & Policy, Plymouth, NH USA

Virginia Tech, Dept Biol Syst Engn, Blacksburg, VA 24061 USA

Virginia Tech, Global Change Ctr, Blacksburg, VA USA|Virginia Tech, Dept Fish & Wildlife Conservat, Virginia Cooperat Fish & Wildlife Res Unit, US Geol Survey, Blacksburg, VA USA

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2022

10.1002/rra.3878

River research and applications

River research and applications

SCI
ISSN：1535-1459
年,卷(期)：2022.38(1)
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