Hydro-morphometric parameters controlling travel distance of pebbles and cobbles in three gravel bed streams

Gilet, Louis; Gob, Frédéric; Gautier, Emmanuèle; Houbrechts, Geoffrey; Virmoux, Clément; Thommeret, Nathalie

doi:10.1016/j.geomorph.2020.107117

Cited by 11 publications

(17 citation statements)

References 60 publications

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“…In their review, however, note that the influence of the size distribution of tracers has not been considered in a consistent manner. Further statistical analyses by Gilet et al (2020) and Vázquez-Tarrío and Batalla (2019) have confirmed that channel width and particle size both strongly influence 𝐴𝐴 𝐿𝐿 and will need to be considered in the development of a relation with flow strength.…”

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confidence: 98%

Flow Strength and Bedload Sediment Travel Distance in Gravel Bed Rivers

Papangelakis

MacVicar

Montakhab

et al. 2022

Water Resources Research

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Characterizing the advection and dispersion of gravel bedload particles in response to fluid flow is a longstanding problem in river hydraulics. At the smallest or "local" scale, bed sediment movement is characterized by a series of individual hops and rests referred to as the transport step length and waiting time (Hassan & Bradley, 2017;Nikora et al., 2002). At a larger or "global" scale, the cumulative motion over floods, seasons, or years can be measured to obtain an overall "travel distance" ( 𝐴𝐴 𝐴𝐴 ; Hassan & Bradley, 2017;Nikora et al., 2002). Advances in bedload tracers have allowed us perhaps the best opportunity to observe the kinematics and untangle the controls of gravel transport (Hassan & Roy, 2016). Active tracers have internal batteries used to power accelerometers, recorders, or transmitters, that can be used to characterize motion on the local scale (Cassel

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confidence: 98%

Flow Strength and Bedload Sediment Travel Distance in Gravel Bed Rivers

Papangelakis

MacVicar

Montakhab

et al. 2022

Water Resources Research

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“…According to Schumm (1977), riverbed gradient and discharge have been regarded as potential controlling factors on hydrodynamic force. In recent studies, these are also confirmed to be able to drive variation in hydrodynamic force along riverbeds (Gilet et al, 2020). The Taolai, Hongshuiba, and Fengle Rivers originate from the Qilian Shan, and then debouch northward into the arid interior of North China (Figure 1).…”

Section: Influence Of Tectonic Uplift On Grain-size Distributionmentioning

confidence: 67%

“…The link between grain-size distribution in riverbed gravels and tectonic uplift thus seems to be confirmed in the study area. In fact, grain-size distribution in riverbed gravel has also been employed as an indicator for tectonic activity in the Central Alps, northern frontal Himalayas, around Taiwan and the Mediterranean (Attal and Lavé 2006;Whittaker et al, 2010;Wang et al, 2015;Gilet et al, 2020). The percentages of grainsize groups >128 mm in the riverbed gravels along the three study-area rivers can thus be understood as an evaluator of the fluvial response to tectonic uplift.…”

Section: Influence Of Tectonic Uplift On Grain-size Distributionmentioning

confidence: 99%

Evaluation of the Fluvial Response to Tectonic Uplift From Grain-Size Distribution in Riverbed Gravels at the Northeastern Margin of the Tibetan Plateau

Dong

Pan

et al. 2022

Front. Earth Sci.

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Downstream fining of riverbed gravels is generally linked with the processes of hydraulic sorting and abrasion. Hydraulic sorting is when larger gravel clasts stop moving in response to decreasing flow energy, whereas, finer grains will continue to be carried downstream. Furthermore, transportation of gravel clasts causes abrasion, bringing about a gradual decrease in grain size. Hydraulic sorting and abrasion have different dominant effects on the downstream fining of clasts in rivers with different climatic and tectonic backgrounds. At present, most studies focus on humid areas, and relatively few studies have explored this issue for the northeastern margin of the Tibetan Plateau in arid and semi-arid areas. Detailed investigations of the grain size, lithology, and roundness of riverbed gravels have been performed here along the Taolai, Hongshuiba, and Fengle Rivers, which flow across the northeastern margin of the Tibetan Plateau and debouch into the arid inland of North China. The obtained data were subsequently employed in a hydraulic pattern of grain-size distribution of riverbed gravels in this area, which is characterized by the combined influences of tectonic activity and climatic aridity. Analysis reveals that there is no new rock type appearing in the lithological compositions of riverbed gravels along these rivers, only showing fluctuations in proportions of lithology even though they are adjacent to uplifting mountains. Fresh gravel material from these mountains does indeed mix into the fluvial bedload, inducing a notable decrease in roundness in the Taolai and Hongshuiba bedloads downstream from here. The downstream fining of gravel along the three rivers, with median grain sizes above 128 mm and falling into the range from 20 to 128 mm, can probably be attributed to hydraulic sorting and abrasion. Further analysis suggests that the former presents a high correlation with channel gradient, which may be sustained by fault activity at the northeastern margin of the Tibetan Plateau. The grain-size distribution in these riverbed gravels thus provides insights into the evaluation of fluvial responses to active tectonic uplift.

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“…To estimate the bedload velocity at the event-based scale, we tested the most recent formulas published in the literature (eq. 4 in Gilet et al, 2020;eq. 13, 14 for all rivers, eq.…”

Section: Estimation Of Bedload Distance At the Event-based And Centur...mentioning

confidence: 99%

“…Bedload movements are generally viewed as stochastic processes (Bradley and Tucker, 2012;Einstein, 1937;Paintal, 1971;Roseberry et al, 2012), these mainly controlled by three groups of parameters: hydraulic and hydrological characteristics of the entrainment events, structural characteristics of the sediments, and finally, their textural characteristics (Gilet et al, 2020;Hassan et al, 1991;Hassan and Church, 1992;Vázquez-Tarrío and Batalla, 2019). Yet the distance travelled by the bedload during a competent event does not always depend on stochastic processes alone Ashmore, 2003a, 2003b).…”

Section: Introductionmentioning

confidence: 99%