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首页> 外文期刊>Natural Hazards >Frequency-size relation of shallow debris slides on cut slopes along aTI Frequency-size relation of shallow debris slides on cut slopes along a railroad corridor: A case study from Nilgiri hills, Southern India
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Frequency-size relation of shallow debris slides on cut slopes along aTI Frequency-size relation of shallow debris slides on cut slopes along a railroad corridor: A case study from Nilgiri hills, Southern India

机译：沿aTI的切坡上的浅层碎片滑移的频率-大小关系沿铁路走廊的沿切坡上的浅层碎片滑移的频率-大小关系：以印度南部的尼尔吉里山为例

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摘要

The probability of landslide volume, V (L) , is a key parameter in the quantitative hazard analysis. Several studies have demonstrated that the non-cumulative probability density, p(V (L) ), of landslide volumes obeys almost invariably a negative power law scaling of p(V (L) ) for landslides exceeding a threshold volume and a roll-over of small landslides. Some researchers attributed the observed roll-over to under-sampling of data, while others relate it to a geo-morphological (physical) property of landslides. We analyzed 15 sets of a complete landslide inventory containing shallow debris slides (2 a parts per thousand currency sign V (L) a parts per thousand currency sign 3.6 x 10(3) m(3)) with sources located on cut slopes along a 17-km-long railroad corridor. The 15 datasets belong to individual years from 1992 to 2007. We obtained the non-cumulative probability densities of landslide volumes for each dataset and analyzed the distribution pattern. The results indicate that for some datasets the probability density exhibits a negative power law distribution for all ranges of volume, while for others, the negative power scaling exists only for a volume greater than 10 m(3), with scaling exponent beta varying between 0.96 and 2.4. When the spatial distribution of landslides were analyzed in relation to the terrain condition and triggering rainfall, we observed that the number of landslides and the range and the frequency of volumes vary according to the changes in local terrain condition and the amount of rainfall that trigger landslides. We conclude that the probability density distribution of landslide volumes has a dependency on the local morphology and rainfall intensity and the deviation of small landslides from power law, i.e., the roll-over is a "real effect" and not an artifact due to sampling discrepancies.
机译：滑坡量的概率V（L）是定量灾害分析中的关键参数。多项研究表明，对于超过阈值体积和翻滚的滑坡，滑坡体的非累积概率密度p（V（L））几乎总是服从p（V（L））的负幂律定标。小滑坡。一些研究人员将观测到的翻转归因于数据的欠采样，而另一些研究人员则将其与滑坡的地貌（物理）特性相关。我们分析了15套完整的滑坡清单，其中包含浅层碎片滑坡（2个千分之几的货币符号V（L）一个千分之几的货币符号3.6 x 10（3）m（3）），其来源位于沿17公里长的铁路走廊。这15个数据集属于1992年至2007年的各个年份。我们获得了每个数据集的滑坡体的非累积概率密度，并分析了其分布模式。结果表明，对于某些数据集，概率密度在所有体积范围内均呈现负幂定律分布，而对于其他数据集，仅在大于10 m（3）的体积上才存在负幂定标，比例指数β在0.96之间变化和2.4。在分析与地形条件和引发降雨有关的滑坡的空间分布时，我们观察到滑坡的数量，范围和体积频率会根据当地地形条件的变化和引发滑坡的降雨量而变化。 。我们得出的结论是，滑坡体的概率密度分布与局部形态和降雨强度以及小滑坡与幂律的偏差有关，即，翻滚是“实际效应”，而不是由于采样差异引起的假象。

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