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Quantitative assessment of landslide hazard along transportation lines using historical records

机译:利用历史记录对沿线滑坡灾害进行定量评估

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In this paper, a quantitative landslide hazard model is presented for transportation lines, with an example for a road and railroad alignment, in parts of Nilgiri hills in southern India. The data required for the hazard assessment were obtained from historical records available for a 21-year period from 1987 to 2007. A total of 901 landslides from cut slopes along the railroad and road alignment were included in the inventory. The landslides were grouped into three magnitude classes based on the landslide type, volume, scar depth, and run-out distance. To calculate landslide hazard, we estimated the total number of individual landslides per kilometer of the (rail) road for different return periods, based on the relationship between past landslides (recorded in our database) and triggering events. These were multiplied by the probability that the landslides belong to a given magnitude class. This gives the hazard for a given return period expressed as the number of landslides of a given magnitude class per kilometer of (rail) road. The relationship between the total number of landslides and the return period was established using a Gumbel distribution model, and the probability of landslide magnitude was obtained from frequency-volume statistics. The results of the analysis indicate that the total number of landslides, from 1- to 50-year return period, varies from 56 to 197 along the railroad and from 14 to 82 along the road. In total, 18 hazard scenarios were generated using the three magnitude classes and six return periods (1, 3, 5, 15, 25, and 50 years). The hazard scenarios derived from the model form the basis for future direct and indirect landslide risk analysis along the transportation lines. The model was validated with landslides that occurred in the year 2009.
机译:本文介绍了印度南部Nilgiri丘陵部分地区交通线路的定量滑坡灾害模型,并以道路和铁路路线为例。危险评估所需的数据是从1987年至2007年的21年期间的历史记录中获得的。清单中总共包括了901条沿铁路和公路平整的坡度的滑坡。根据滑坡的类型,数量,疤痕深度和跳动距离,将滑坡分为三级。为了计算滑坡灾害,我们基于过去的滑坡(记录在我们的数据库中)与触发事件之间的关系,估算了在不同返回期的每公里(铁路)道路上的单个滑坡总数。将这些乘以滑坡属于给定量级的概率。这给出了在给定返回期内的危险,表示为每公里(铁路)道路具有给定强度等级的滑坡数量。利用Gumbel分布模型建立了滑坡总数与恢复期之间的关系,并通过频率-体积统计获得了滑坡强度的概率。分析结果表明,从1年到50年的恢复期,滑坡的总数在铁路上从56变到197,在公路上从14变到82。使用三个级别的类别和六个返回期(1、3、5、15、25和50年),总共生成了18种危险情况。从该模型得出的灾害情景构成了未来沿运输线路进行直接和间接滑坡风险分析的基础。该模型已通过2009年发生的滑坡进行了验证。

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