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Copula-based IDF curves and empirical rainfall thresholds for flash floods and rainfall-induced landslides

机译:基于Copula的IDF曲线和暴雨和降雨诱发的滑坡的经验降雨阈值

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摘要

Floods, landslides and debris flows are natural events that occur all over the world and are often induced by extreme rainfall conditions. Several extreme events occurred in Slovenia (Europe) in the last 25 years that caused 18 casualties and approximately 500 million Euros of economic loss. The intensity-duration frequency (IDF) relationship was constructed using the Frank copula function for several rainfall stations using high-resolution rainfall data with an average subsample length of 34 years. The empirical rainfall threshold curves were also evaluated for selected extreme events. Post-event analyses showed that rainfall characteristics triggering flash floods and landslides are different. The sensitivity analysis results indicate that the inter-event time definition (IETD) and subsample definition methodology can have a significant influence on the position of rainfall events in the intensity-duration space, the constructed IDF curves and on the relationship between the empirical rainfall threshold curves and the IDF curves constructed using the copula approach. Furthermore, a combination of several empirical rainfall thresholds with an appropriate high-density rainfall measurement network can be used as part of the early warning system of the initiation of landslides and debris flows. However, different rainfall threshold curves should be used for lowland and mountainous areas in Slovenia. (C) 2016 Elsevier B.V. All rights reserved.
机译:洪水,滑坡和泥石流是世界各地发生的自然事件,通常是极端降雨条件引起的。在过去的25年中,斯洛文尼亚(欧洲)发生了几起极端事件,造成18人伤亡和约5亿欧元的经济损失。使用Frank copula函数,使用高分辨率降雨数据(平均子样本长度为34年)为几个降雨站构建强度-持续时间频率(IDF)关系。还针对选定的极端事件评估了经验降雨阈值曲线。事件后分析表明,引发山洪和滑坡的降雨特征是不同的。敏感性分析结果表明,事件间时间定义(IETD)和子样本定义方法可能对强度持续时间中降雨事件的位置,IDF曲线的建立以及经验降雨阈值之间的关系有重大影响。使用copula方法构建的曲线和IDF曲线。此外,几种经验性降雨阈值与适当的高密度降雨测量网络的组合可以用作引发滑坡和泥石流的预警系统的一部分。但是,对于斯洛文尼亚的低地和山区,应使用不同的降雨阈值曲线。 (C)2016 Elsevier B.V.保留所有权利。

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