By utilizing the Green-Ampt infiltration equation and the infinite slope stability model, a method for analyzing shallow slope failures caused by rainfall is developed. With rainfall intensity, soil characteristics, and topography, the modified Green-Ampt infiltration equation is used to estimate the rainfall infiltration capacity and depth of infiltration in a given slope. Assigning the calculated depth of infiltration as the depth of slip surface, the factor of safety of the slope is obtained through the infinite slope stability model. A time-series visualization map of the space-time varying factor of safety is generated when the method is implemented with the aid of Geographic Information System (GIS) software. The model is applied and validated with the landslides that occurred during the October 2019 Typhoon Hagibis in Marumori, Japan. The model results show good agreement with the reported time and depths of failure, and the analysis of the spatial distribution of predicted failures yielded receiver operating characteristic-area under the curve (ROC-AUC) value of 0.90. The applicability of the model can be extended for post-analysis, real-time, or projected assessment of slope stability, depending on the nature of input rainfall data (e.g., historical, real-time, forecast, hypothetical).

利用格林-安培入渗方程和无限边坡稳定模型，建立了一种分析降雨引起的浅层边坡破坏的方法。结合降雨强度，土壤特征和地形，修改后的Green-Ampt渗透方程用于估算给定坡度的降雨渗透能力和渗透深度。将计算出的渗透深度指定为滑动面深度，可通过无限边坡稳定性模型获得边坡的安全系数。当借助地理信息系统（GIS）软件实施该方法时，将生成时空变化安全系数的时间序列可视化图。应用该模型并通过2019年10月日本丸森市台风哈吉比斯期间发生的滑坡进行了验证。模型结果与报告的故障时间和深度显示出良好的一致性，对预测故障的空间分布进行分析得出了曲线（ROC-AUC）值为0.90时的接收器工作特征区域。根据输入降雨数据的性质（例如历史，实时，预测，假设），可以将模型的适用性扩展到分析后，实时或预测的边坡稳定性评估中。