Grid cells and slope units are commonly used in regional landslide analysis models. In practice, both show significant advantages and disadvantages. Due to the simplicity of using regular grid cells, grid cells are favored in landslide analysis models but cannot reflect the boundary of natural slopes and landforms. Slope unit can reflect characteristics of a natural slope. The algorithm of slope stability analysis needs to iteratively calculate the safety factor of each dangerous slip surface, which is more complicated than the stability analysis method of grid cells. To this end, the failure area ratio (r_A) of the slope unit, which represents the size of the failure area inside the slope unit under the rainfall infiltration, is employed to establish our landslide analysis model. In this model, larger r_A can indicate a greater unstable probability of the slope unit, which is used to identify whether a slope unit is stable or not. Taking the rainfall data provided by Chongqing Meteorological Bureau as inputs, the landslide analysis model was tested in Fengjie County, Chongqing. Results show that the spatial distribution of the predicted landslides has a good correspondence with the observed landslides. The rate of false negative and false positive of the proposed model is 12.3% and 24.3%, and the accuracy of the model is 78.3%.

网格单元和坡度单元通常用于区域滑坡分析模型。在实践中，两者都显示出显着的优点和缺点。由于使用规则网格单元的简单性，网格单元在滑坡分析模型中受到青睐，但不能反映自然坡度和地貌的边界。坡度单元可以反映自然坡度的特征。边坡稳定性分析算法需要迭代计算每个危险滑面的安全系数，比网格单元的稳定性分析方法复杂。为此，失效面积比（r _A), 代表降雨入渗作用下斜坡单元内部破坏面积的大小, 用于建立我们的滑坡分析模型。在该模型中，r _A越大，表示斜率单元不稳定的概率越大，用于识别斜率单元是否稳定。以重庆市气象局提供的降雨数据为输入，滑坡分析模型在重庆奉节县进行了测试。结果表明，预测滑坡的空间分布与实测滑坡具有较好的对应关系。所提出模型的假阴性和假阳性率为12.3%和24.3%，模型准确率为78.3%。