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Quantification of potential recruitment of large woody debris in mountain catchments considering the effects of vegetation on hydraulic and geotechnical bank erosion and shallow landslides

机译:考虑植被植被对液压和岩土基础堤坝侵蚀和浅层滑坡的影响,定量大型木质碎片的潜在招募

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Large woody debris (LWD) exacerbates flood damages near civil structures and in urbanized areas and the awareness of LWD as a risk is becoming more and more relevant. The recruitment of "fresh" large woody debris has been documented to play a significant role of the total amount of wood transported during flood events in mountain catchments. Predominately, LWD recruitment due to hydraulic and geotechnical bank erosion and shallow landslides contribute to high volumes of wood during floods. Quantifying the effects of vegetation on channel and slope processes is extremely complex. This manuscript therefore presents the concepts that are being implemented in a new modelling framework that aims to improve the quantification of vegetation effects on LWD recruitment processes. One of the focuses of the model framework is the implementation of the effect of spatio-temporal distribution of root reinforcement in recruitment processes such as bank erosion and shallow landslides in mountain catchments. Further, spatio-temporal precipitation patterns will be considered using a probabilistic approach to account for the spatio-temporal precipitation variability to estimate a LWD recruitment correction coefficient. Preliminary results are herein presented and discussed in form of a case study in the Swiss Prealps.
机译:大型木质碎片(LWD)加剧了民用结构附近的洪水损失,在城市化地区以及LWD的意识,因为风险越来越相关。已记录“新鲜”大型木质碎片的招聘,以发挥山地集水区洪水事件中运输的总量的显着作用。主要是,由于液压和岩土基础银行侵蚀和浅层滑坡导致的LWD招聘有助于洪水期间的大量木材。量化植被对通道和坡度过程的影响非常复杂。因此,该稿件呈现了在新的建模框架中实施的概念,该概念旨在提高LWD招生过程的植被影响的量化。模型框架的焦点之一是实施根部加强在招聘过程中的时空分布的效果,如山区集水区的银行侵蚀和浅层滑坡。此外,使用概率方法考虑用于估计LWD招募校正系数的时空降水变量的概率方法来考虑时空沉淀图案。本文在瑞士预氟普斯的案例研究中提出和讨论了初步结果。

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