Shallow landslide hazard assessment using a three-dimensional deterministic model in a mountainous area
Shallow landslide hazard assessment using a three-dimensional deterministic model in a mountainous area
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DOI：
10.1016/j.compgeo.2012.04.007
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发表时间：
2012-09
影响因子：
5.3
通讯作者：
N. Jia;Y. Mitani;M. Xie;I. Djamaluddin
中科院分区：
文献类型：
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作者：
N. Jia;Y. Mitani;M. Xie;I. Djamaluddin
在强降雨后的山区，浅层滑坡很常见。在所有的滑坡危险性评价方法中，确定性方法提供了最好的滑坡危险性定量信息。然而，它们需要从实验室测试和实地测量中获得大量详细的现场数据，因此难以在大面积上应用。最重要的输入参数之一是土壤深度。对于大面积地区，通过实地测量获得土壤深度是不可能的。为了克服这一困难，采用基于统计的回归分析来评估土壤深度。选取控制土壤深度的所有地形属性作为影响因子。通过多元线性回归，可以预测每个地点的土壤深度。然后可以使用确定性方法对评估的土壤深度进行边坡稳定性分析。研究区被划分为斜坡单元。对于每个边坡单元，采用蒙特卡罗模拟和基于gis的三维极限平衡模型，定位临界滑移面并计算相应的安全系数。通过在日本山区的应用，验证了该方法的有效性。
Shallow landslides are common in mountainous areas after intense rainfall. Of all landslide hazard assessment methods, deterministic methods provide the best quantitative information on landslide hazard. However, they require a large amount of detailed in situ data, derived from laboratory tests and field measurements, and therefore it is difficult to apply them over large areas. One of the most important input parameters is soil depth. For large areas, it is impossible to obtain soil depth through field measurements. To overcome this difficulty, a statistics-based regression analysis is used to evaluate soil depths. All the terrain attributes that control soil depths are selected as influential factors. By using multi-linear regression, the soil depths at each location can be predicted. Slope stability analysis can then be performed using deterministic methods with the evaluated soil depths. The study area is divided into slope units. For each slope unit, Monte-Carlo simulation and a GIS-based 3D limit equilibrium model are used to locate the critical slip surface and calculate the corresponding safety factor. The effectiveness of the proposed method has been tested by applying it to a mountainous area in Japan.