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A simple numerical procedure for timely prediction of precipitation-induced landslides in unsaturated pyroclastic soils

机译:及时预测非饱和碎屑土中降雨诱发滑坡的简单数值程序

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In the last 20 years, several catastrophic precipitation-induced landslides have hit villages, towns and roads in Campania (southern Italy), causing extensive damage and many fatalities. Although such phenomena have occurred since time immemorial, recent urbanisation and infrastructural development have produced a major increase in landslide risk. Due to climatic changes and further unavoidable increases in exposure, in the near future, the risk will become even greater. It is therefore high time to develop reliable criteria for landslide prediction. The paper discusses the main factors which affect the triggering of precipitation-induced landslides, highlighting the key role played by antecedent rainfalls which cannot be precisely accounted for using empirical criteria. We propose a simple 1D numerical approach able to predict the evolution of the key factors governing slope stability as a tool to predict the onset of slope failure, with potential benefits for early warning systems. The approach is calibrated through a well-documented case history.
机译:在过去的20年中,几次灾难性的降雨诱发的滑坡袭击了坎帕尼亚(意大利南部)的村庄,城镇和道路,造成了广泛的破坏和许多死亡。尽管这种现象自远古时代就已发生,但近来的城市化和基础设施发展已大大增加了滑坡风险。由于气候变化和不可避免的进一步增加的暴露,在不久的将来,风险将会更大。因此,现在是时候为滑坡预测制定可靠的标准了。本文讨论了影响降雨诱发的滑坡触发的主要因素,强调了前期降雨所起的关键作用,而前期降雨无法使用经验标准来精确解释。我们提出了一种简单的一维数值方法,能够预测控制边坡稳定性的关键因素的演变,以此作为预测边坡破坏发生的工具,并对预警系统具有潜在的好处。通过记录良好的案例历史记录来校准该方法。

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