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A tool for the automatic calculation of rainfall thresholds for landslide occurrence

机译:自动计算滑坡发生的降雨阈值的工具

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Empirical rainfall thresholds are commonly used to forecast landslide occurrence in wide areas. Thresholds are affected by several uncertainties related to the rainfall and the landslide information accuracy, the reconstruction of the rainfall responsible for the failure, and the method to calculate the thresholds. This limits the use of the thresholds in landslide early warning systems. To face the problem, we developed a comprehensive tool, CTRLeT (Calculation of Thresholds for Rainfall-induced Landslides-Tool) that automatically and objectively reconstructs rainfall events and the triggering conditions responsible for the failure, and calculates rainfall thresholds at different exceedance probabilities. CTRL-T uses a set of adjustable parameters to account for different morphological and climatic settings. We tested CTRL - T in Liguria region (Italy), which is highly prone to landslides. We expect CTRL-T has an impact on the definition of rainfall thresholds in Italy, and elsewhere, and on the reduction of the risk posed by rainfall-induced landslides. (c) 2018 The Authors. Published by Elsevier Ltd.
机译:经验降雨阈值通常用于预测大面积滑坡的发生。阈值受到与降雨和滑坡信息准确性,造成故障的降雨的重建以及阈值的计算方法有关的若干不确定性的影响。这限制了滑坡预警系统中阈值的使用。为了解决这个问题,我们开发了一个综合工具CTRLeT(降雨引起的滑坡阈值计算工具),该工具可以自动客观地重建降雨事件和造成该故障的触发条件,并计算出不同超出概率的降雨阈值。 CTRL-T使用一组可调参数来说明不同的形态和气候设置。我们在意大利利古里亚地区测试了CTRL-T,该地区极易发生滑坡。我们预计CTRL-T将对意大利和其他地区的降雨阈值的定义产生影响,并减少降雨引起的滑坡带来的风险。 (c)2018作者。由Elsevier Ltd.发布

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