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Coupling fluvial-hydraulic models to predict gravel transport in spatially variable flows

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  • This study investigated spatial-temporal variations of shear stress and bed load transport at three gravel bed river reaches of the Williams Fork River, Colorado. A two-dimensional flow model was used to compute spatial distributions of shear stress (τ) for four discharge levels between one third of bankfull (Qbf) and Qbf. Results indicate that mean τ values are highly variable among sites. However, the properties of the mean-normalized distributions of τ are similar across sites for all flows. The distributions of τ are then used with a transport function to compute bed load transport rates of individual grain size fractions. Probability distributions of the instantaneous unit-width transport rates, qb, indicate thatmost of the bed load is transported through small portions of the bed with high τ. The mean-normalized probability distributions of qb are different among sites for all flows except at Qbf, when the distributions overlap. We also find that the grain size distribution (GSD) of the bed load adjusts with discharge to resemble the grain size distribution of the subsurface at Qbf. We extend these results to 13 locations in the basin, using the mean-normalized distributions of shear stress and measured subsurface grain sizes to compute bed load transport rates at Qbf. We found a remarkably similar shape of the qb distribution among sites highlighting the basin-wide balance between flow forces and GSD at Qbf and the potential to predict sediment flux at the watershed scale.
  • KEYWORDS: gravel bed rivers, FaSTMECH, hydraulic modeling, shear stress, bed load
  • This is the publisher’s final pdf. The article is copyrighted by American Geophysical Union and published by John Wiley & Sons Ltd. It can be found at: http://agupubs.onlinelibrary.wiley.com/agu/jgr/journal/10.1002/%28ISSN%292169-9011/
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  • Segura, C., & Pitlick, J. (2015). Coupling fluvial‐hydraulic models to predict gravel transport in spatially variable flows. Journal of Geophysical Research: Earth Surface, 120(5), 834-855. doi:10.1002/2014JF003302
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  • 120
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  • 5
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  • Portions of this work have been funded by grants from the National Science Foundation (BCS-9986338) and the U.S. Forest Service (03-CS-11221625-122).
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