2016
DOI: 10.1002/2015jf003794
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Structural properties of mobile armors formed at different flow strengths in gravel‐bed rivers

Abstract: Differences in the structure of mobile armors formed at three different flow strengths have been investigated in a laboratory flume. The temporal evolution of the bed surfaces and the properties of the final beds were compared using metrics of surface grain size, microtopography, and bed organization at both grain and mesoscales. Measurements of the bed condition were obtained on nine occasions during each experiment to describe the temporal evolution of the beds. Structured mobile armors formed quickly in eac… Show more

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Cited by 71 publications
(70 citation statements)
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“…It is of key interest to accurately estimate the sediment transport in natural rivers, since bar evolution (i.e., armor formation and breakup ) depends on fractional transport rates estimation (Orrú et al, ; Parker, ; Powell et al, ). Therefore, the authors proposed to use the model of Wilcock and Crowe () (WC‐2003), which is interesting in the way that (i) it is based on surface investigations and is particularly adapted for the prediction of transient conditions of bed armoring and scenarios of bed aggradation/degradation, (ii) it considers the full size distribution of the bed surface (from finest sands to coarsest gravels), (iii) it was calibrated under a wide range of water discharges and sediment mixtures, (iv) the hiding function has been designed to resolve discrepancies observed from previous experiments (Parker, ; Proffitt & Sutherland, ) including the hiding‐exposure effect of sand content on gravel transport for weak to high values of sand contents in the bulk, and (v) it has already shown efficiency when applied for morphodynamics modeling (An et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…It is of key interest to accurately estimate the sediment transport in natural rivers, since bar evolution (i.e., armor formation and breakup ) depends on fractional transport rates estimation (Orrú et al, ; Parker, ; Powell et al, ). Therefore, the authors proposed to use the model of Wilcock and Crowe () (WC‐2003), which is interesting in the way that (i) it is based on surface investigations and is particularly adapted for the prediction of transient conditions of bed armoring and scenarios of bed aggradation/degradation, (ii) it considers the full size distribution of the bed surface (from finest sands to coarsest gravels), (iii) it was calibrated under a wide range of water discharges and sediment mixtures, (iv) the hiding function has been designed to resolve discrepancies observed from previous experiments (Parker, ; Proffitt & Sutherland, ) including the hiding‐exposure effect of sand content on gravel transport for weak to high values of sand contents in the bulk, and (v) it has already shown efficiency when applied for morphodynamics modeling (An et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…; Powell et al. ; Bertin and Friedrich, ). DEMs representing the grain, bed structure and large bedforms scale were added.…”
Section: Discussionmentioning
confidence: 99%
“…Indeed, the roughness of the river bed results from both the grain roughness and the larger bed surface variations. The bed roughness adjusts and evolves constantly, influencing near-bed hydraulics and sediment transport (Hardy et al, 2000;Powell et al, 2016;Berni et al, 2018). Complex patterns can develop at different scales, such as specific grain arrangements, structures and large bedforms (Brayshaw et al, 1983;Curran, 2007;Cooper and Tait, 2009;Qin and Leung Ng, 2012).…”
Section: Introductionmentioning
confidence: 99%
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“…In gravel-bed rivers, large grains tend to be relatively over-exposed while the smaller grains are sheltered on the bed (e.g. Kirchner et al, 1990;Hodge et al, 2013;Powell et al, 2016). 'Hiding functions' model how surface GSD feedbacks enhance the mobility of coarser grains relative to finer (e.g.…”
Section: Introductionmentioning
confidence: 99%