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Derivation of critical rainfall thresholds for shallow landslides as a tool for debris flow early warning systems

机译:推导浅层滑坡临界降雨阈值作为泥石流预警系统的工具

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Real-time assessment of debris-flow hazard is fundamental for developingwarning systems that can mitigate risk. A convenient method to assess thepossible occurrence of a debris flow is to compare measured and forecastedrainfalls to critical rainfall threshold (CRT) curves. Empirical derivationof the CRT from the analysis of past events' rainfall characteristics is notpossible when the database of observed debris flows is poor or when theenvironment changes with time. For debris flows and mud flows triggered byshallow landslides or debris avalanches, the above limitations may beovercome through the methodology presented. In this work the CRT curves arederived from mathematical and numerical simulations, based on theinfinite-slope stability model in which slope instability is governed by theincrease in groundwater pressure due to rainfall. The effect of rainfallinfiltration on landside occurrence is modelled through a reduced form of theRichards equation. The range of rainfall durations for which the method canbe correctly employed is investigated and an equation is derived for thelower limit of the range. A large number of calculations are performedcombining different values of rainfall characteristics (intensity andduration of event rainfall and intensity of antecedent rainfall). For eachcombination of rainfall characteristics, the percentage of the basin that isunstable is computed. The obtained database is opportunely elaborated toderive CRT curves. The methodology is implemented and tested in a small basinof the Amalfi Coast (South Italy). The comparison among the obtained CRTcurves and the observed rainfall amounts, in a playback period, gives a goodagreement. Simulations are performed with different degree of detail in thesoil parameters characterization. The comparison shows that the lack ofknowledge about the spatial variability of the parameters may greatly affectthe results. This problem is partially mitigated by the use of a Monte Carloapproach.
机译:泥石流危害的实时评估对于开发可降低风险的预警系统至关重要。评估泥石流可能发生的一种便捷方法是将测得的和预测的降雨与临界降雨阈值(CRT)曲线进行比较。当观测到的泥石流数据库很差或环境随时间变化时,无法通过对过去事件的降雨特征的分析来得出CRT的经验推导。对于由浅层滑坡或碎屑崩塌引发的泥石流和泥浆流,可以通过介绍的方法来克服上述限制。在这项工作中,CRT曲线是基于无限边坡稳定性模型从数学和数值模拟中得出的,在该模型中,边坡不稳定性受降雨引起的地下水压力升高的支配。降雨入渗对陆地发生的影响通过理查兹方程的简化形式来模拟。研究了可以正确采用该方法的降雨持续时间范围,并得出了该范围下限的方程。结合不同的降雨特征值(事件降雨的强度和持续时间以及前降雨强度),进行了大量计算。对于每种降雨特征组合,都将计算不稳定盆地的百分比。获得的数据库是精心制作的CRT曲线。该方法已在阿马尔菲海岸(意大利南部)的一个小盆地中实施和测试。在回放期间,所获得的CRT曲线与观测到的降雨量之间的比较给出了很好的协议。在土壤参数表征中以不同的详细程度执行模拟。比较表明,缺乏对参数空间变异性的认识可能会极大地影响结果。使用蒙特卡洛方法可部分缓解此问题。

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