2014
DOI: 10.1002/2013wr014449
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Bed load fluctuations in a steep channel

Abstract: Bed load transport rate fluctuations have been observed over time in steep rivers and flumes with wide grain size distributions even under constant sediment feeding and water discharge. The observed bed load transport rate pulses are periodic and a consequence of grain sorting. Moreover, the presence of large, relatively immobile boulders, such as erratic stones, which are often present in mountain streams, has an impact on flow conditions. The detailed analysis of a 13 h laboratory experiment is presented in … Show more

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Cited by 31 publications
(41 citation statements)
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“…2A). The rough surface of the channel consisted of grains cast in mortar with the size of the D 84 of the supply mixture or larger, as a representative grain size for roughness (Ferguson, 2007;Ghilardi et al, 2014;Rickenmann and Recking, 2011;Zimmermann, 2010). The water-sediment mixture was separated at the downstream model end by a filter basket.…”
Section: Methodsmentioning
confidence: 99%
“…2A). The rough surface of the channel consisted of grains cast in mortar with the size of the D 84 of the supply mixture or larger, as a representative grain size for roughness (Ferguson, 2007;Ghilardi et al, 2014;Rickenmann and Recking, 2011;Zimmermann, 2010). The water-sediment mixture was separated at the downstream model end by a filter basket.…”
Section: Methodsmentioning
confidence: 99%
“…The absence of vertical sorting does not permit the creation of coarse plane bed structures, the subsequent destruction of which causes bedload fluctuations (cf. Section 3.1; Ghilardi, 2014;Ghilardi et al, 2014b). The attenuation of fluctuations is rapid at first (increase in low values of stream power), but quickly reaches a lower limit for a stream power of~15-20 W m −2 .…”
Section: Analysis Of Amplitude and Period Of Bedload Pulsesmentioning
confidence: 99%
“…Both phenomena mentioned by Iseya and Ikeda (1987), grain sorting and bedform migration, were observed (cf. Ghilardi, 2014;Ghilardi et al, 2014b).…”
Section: Assessment Of Data Time Seriesmentioning
confidence: 99%
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