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Regional-scale controls on the spatial activity of rockfalls (Turtmann Valley, Swiss Alps) - A multivariate modeling approach

机译:落石空间活动的区域尺度控制(Turtmann Valley,瑞士阿尔卑斯山)-多元建模方法

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摘要

In mountain geosystems, rockfalls are among the most effective sediment transfer processes, reflected in the regional-scale distribution of talus slopes. However, the understanding of the key controlling factors seems to decrease with increasing spatial scale, due to emergent and complex system behavior and not least to recent methodological shortcomings in rockfall modeling research. In this study, we aim (i) to develop a new approach to identify major regional-scale rockfall controls and (ii) to quantify the relative importance of these controls. Using a talus slope inventory in the Turtmann Valley (Swiss Alps), we applied for the first time the decision-tree based random forest algorithm (RF) in combination with a principal component logistic regression (PCLR) to evaluate the spatial distribution of rockfall activity. This study presents new insights into the discussion on whether periglacial rockfall events are controlled more by topo-climatic, cryospheric, paraglacial or/and rock mechanical properties.
机译:在山区的地质系统中,落石是最有效的泥沙转移过程之一,反映在距骨斜坡的区域规模分布中。然而,由于突发和复杂的系统行为,尤其是最近的落石建模研究中的方法学缺陷,对关键控制因素的理解似乎随着空间规模的增加而减少。在这项研究中,我们的目标是(i)开发一种新方法来识别主要的区域规模崩塌控制,以及(ii)量化这些控制的相对重要性。我们使用Turtmann山谷(瑞士阿尔卑斯山)的距骨坡度清单,首次将基于决策树的随机森林算法(RF)与主成分逻辑回归(PCLR)结合使用,以评估落石活动的空间分布。这项研究为有关冰缘崩塌事件是否更多地受地形气候,冰冻圈,冰川作用或/和岩石力学性质控制的讨论提供了新的见解。

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