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GIS-based prediction method of landslide susceptibility using a rainfall infiltration-groundwater flow model

机译:基于降雨入渗-地下水流模型的基于GIS的滑坡敏感性预测方法

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This paper describes a physical-based model to predict rainfall-induced landsides. Special attention was given to the introduction of a GIS-based model, YS-Slope model (YonSei-Slope model), which can evaluate the susceptibility of landslides. The model has been improved by incorporating the combined effects of groundwater flow and rainfall infiltration into the raster model. The two dimensional Darcy's law was used to reflect the effect of groundwater flow in the soil slope, and the modified Green-Ampt model, which is a one-dimensional infiltration model, was selected to capture the effect of rainfall infiltration into the soil mass. These elements were integrated into the infinite slope-stability model for a rainfall-induced landslide. The proposed model was verified by comparing the results from existing models as well as an actual slope failure case that occurred in Korea. With further study, the YS-model could be adopted as a prediction method for rainfall-induced landslides.
机译:本文介绍了一种基于物理的模型来预测降雨引起的陆地。特别注意了基于GIS的模型YS-Slope模型(YonSei-Slope模型)的引入,该模型可以评估滑坡的敏感性。通过将地下水流量和降雨入渗的综合影响纳入栅格模型,对模型进行了改进。利用二维达西定律来反映地下水在土壤边坡中的作用,并选择改进的Green-Ampt模型(一维渗透模型)来捕捉降雨入渗到土壤中的影响。这些要素被整合到降雨诱发滑坡的无限边坡稳定性模型中。通过比较现有模型的结果以及韩国发生的实际边坡破坏案例,对提出的模型进行了验证。通过进一步的研究,YS模型可以作为降雨诱发滑坡的预测方法。

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