首页> 外文期刊>International Journal of Geosciences >Spatial Variation of Soil Depth and Shallow Slope Failures in Sangun Mountains, Fukuoka Prefecture, Japan
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Spatial Variation of Soil Depth and Shallow Slope Failures in Sangun Mountains, Fukuoka Prefecture, Japan

机译:日本福冈三枝山土壤深度和浅坡破坏的空间变化

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Shallow slope failure is often induced by rainfall infiltration in a soil mantle overlying a less permeable bedrock. Soil depth is an important input parameter in slope stability analysis. This paper provides the spatial variation of soil depth and the occurrence of slope failure in Sangun mountains area. The spatial pattern of soil depth was simulated by proses based model using airborne laser survey data (LiDAR data) and Geographic Information System (GIS) function. As a function for soil production, we use in the study area a numerical model developed by Dietrich?et al.?(1995) to predict the local spatial variation of the depth of soil. The soil depth data measured at 20 locations that represent morphological variability are used as a sample data set to test the model results. Furthermore, the soil depth variations are compared to the slope failure distribution in the whole area. Slope failure locations in the study area are identified from interpretation of aerial photographs and field surveys. Fifty-five of slope failures are considered for slope failure hazard analysis. Therefore, the slope failures occur more frequently at soil depth intervals in the ranged from 1.01 m to 1.5 m.
机译:浅层边坡破坏通常是由渗透性差的基岩上的地幔中的降雨入渗引起的。土层深度是边坡稳定性分析的重要输入参数。本文提供了三gun山区土壤深度的空间变化和边坡破坏的发生。利用机载激光勘测数据(LiDAR数据)和地理信息系统(GIS)功能,通过基于散文的模型来模拟土壤深度的空间格局。作为土壤生产的函数,我们在研究区使用了Dietrich等人(1995)开发的数值模型来预测土壤深度的局部空间变化。在代表形态变异性的20个位置处测量的土壤深度数据用作样本数据集,以测试模型结果。此外,将土壤深度变化与整个区域的边坡破坏分布进行了比较。根据航拍照片的解释和现场调查确定研究区域内的斜坡破坏位置。边坡破坏危险分析中考虑了55个边坡破坏。因此,在土层深度范围为1.01 m至1.5 m范围内,边坡破坏发生的频率更高。

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