Effect of Sediment Supply on Cyclic Fluctuations of the Disequilibrium Ratio and Threshold Transport Discharge, Inferred From Bedload Transport Measurements Over 27 Years at the Swiss Erlenbach Stream
Effect of Sediment Supply on Cyclic Fluctuations of the Disequilibrium Ratio and Threshold Transport Discharge, Inferred From Bedload Transport Measurements Over 27 Years at the Swiss Erlenbach Stream
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泥沙供应对不平衡比和阈值输送流量循环波动的影响,根据瑞士埃伦巴赫河 27 年来的底质输送测量推断
DOI:
10.1029/2020wr027741
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发表时间:
2020
影响因子:
5.4
通讯作者:
Rickenmann
中科院分区:
文献类型:
--
作者:
Rickenmann
Bedload transport in natural channels typically shows large fluctuations even for constant hydraulic forcing. It has been shown that the threshold shear stress for initiation of motion depends, for example, on the bed morphology and on channel slope and that it may be influenced by flood history effects. This study is based on a unique data set of continuous field observations of bedload transport acquired during 27 years with impact plate measurements and involving more than 500 sediment‐transporting flood events. A disequilibrium ratio is defined which represents the observed bedload mass per event divided by the bedload mass calculated via a bedload transport equation integrated over the time of a flood event. The disequilibrium ratio varies in a cyclic behavior around equilibrium conditions defined by its median value. The mean duration of a cycle depends on upstream sediment supply or availability on the bed, and longer cycles are associated with a larger active layer on the bed. A memory effect is evident regarding the temporal evolution of both disequilibrium ratio and bed state as reflected by threshold transport conditions, determined from the observations as the critical discharge at the start and at the end of a bedload‐transporting event. The disequilibrium ratio and the threshold transport discharge are inversely correlated with each other, likely providing a feedback mechanism governing the fluctuations around an equilibrium state. Accounting for the memory effect, that is, for the bed state after the previous event, improves the prediction of bedload transport for the following event.
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DOI:
--
发表时间:
2014
期刊:
影响因子:
--
作者:
D. Rickenmann;J. Turowski;B. Fritschi;C. Wyss;J. Laronne;Ronel Barzilai;I. Reid;Andrea Kreisler;J. Aigner;H. Seitz;H. Habersack
通讯作者:
H. Habersack
DOI:
--
发表时间:
2017
期刊:
影响因子:
--
作者:
D. Rickenmann
通讯作者:
D. Rickenmann
DOI:
--
发表时间:
2005
期刊:
影响因子:
--
作者:
Sandra E. Ryan;L. Porth;C. Troendle
通讯作者:
C. Troendle
DOI:
--
发表时间:
2010
期刊:
影响因子:
--
作者:
M. Church
通讯作者:
M. Church
DOI:
10.1002/2013jf002874
发表时间:
2014-03
期刊:
Journal of Geophysical Research: Earth Surface
影响因子:
--
作者:
J. Schneider;J. Turowski;D. Rickenmann;Ramon Hegglin;S. Arrigo;L. Mao;J. Kirchner
通讯作者:
J. Schneider;J. Turowski;D. Rickenmann;Ramon Hegglin;S. Arrigo;L. Mao;J. Kirchner