2020
DOI: 10.1016/j.catena.2019.104252
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Qualifying mass failures on loess gully sidewalls using laboratory experimentation

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Cited by 7 publications
(3 citation statements)
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“…A sensitivity coefficient, which represents the extent of change in a target value triggered by variation in a crucial factor while keeping other conditions fixed, is the ratio of the percentage change in the target value to the percentage change in the parameter (Xu et al 2020). A relatively large sensitivity coefficient indicates that the target value is highly susceptible to changes in the influencing factor.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…A sensitivity coefficient, which represents the extent of change in a target value triggered by variation in a crucial factor while keeping other conditions fixed, is the ratio of the percentage change in the target value to the percentage change in the parameter (Xu et al 2020). A relatively large sensitivity coefficient indicates that the target value is highly susceptible to changes in the influencing factor.…”
Section: Methodsmentioning
confidence: 99%
“…In addition, from a long-term perspective, the check dam has become an effective practice to control mass failure in gully areas on the Loess Plateau. The expansion of gully sidewall will be mitigated when the thalweg in the upper reach of the gully is increased and the height of the sidewall behind the check dam is reduced as a result of siltation behind the check dam (Xu et al 2020). Thus, a combination of vegetation measures on the gentle slope, structural and ecological practices on the sidewall and powerful structural practices, e.g., check dams, on the gully floor, is preferred for sidewalls vulnerable to expansion.…”
Section: Hazards and Defense Scenariosmentioning
confidence: 99%
“…Soil erosion caused by natural factors is widely distributed on all the earth surfaces, so numerous studies focus on the soil erosion problems caused by natural factors, e.g. rainfall (Xu et al, 2020), topography slope (Li et al, 2020), wind (Wang & shao, 2013), vegetation cover (Zhou, 2008), freeze-thaw (Wu et al, 2018).…”
mentioning
confidence: 99%