Collapses, landslides, and debris flows are the main geological hazards faced by mankind, which bring heavy losses of life and property to people every year. The purpose of this paper is to establish a method for determining the optimal weighting scheme for multiple geological hazard susceptibility mapping. The information gain ratio (IGR) method was used to analyze the predictive ability of the conditioning factors. The support vector machine (SVM) algorithm was used to evaluate the susceptibility to collapse, landslide, and debris flow of the study area. The receiver operating characteristic curves (ROC) and classification statistics of geological hazard samples were applied to evaluate the performance of the models. The analytic hierarchy process (AHP) and frequency ratio (FR) method were combined to determine the optimal weighting scheme for collapse, landslide, and debris flow. All the conditioning factors have shown a certain predictive ability, making the models of collapse, landslide, and debris flow achieve very good performance. The multiple geological hazard susceptibility maps with the weights of 0.297, 0.539, and 0.164 for collapse, landslide, and debris flow was optimal for this study area with high-precision classification of all the geological hazard samples. The conclusions of this paper could provide meaningful references for risk migration and land use in the study area.

中文翻译：

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燕子河流域多重地质灾害敏感性图研究

坍塌，滑坡和泥石流是人类面临的主要地质灾害，每年给人类带来重大的生命和财产损失。本文的目的是建立一种确定多重地质灾害敏感性图的最佳加权方案的方法。信息增益比（IGR）方法用于分析条件因素的预测能力。支持向量机（SVM）算法用于评估研究区域倒塌，滑坡和泥石流的敏感性。接收器工作特征曲线（ROC）和地质灾害样品的分类统计数据被用于评估模型的性能。结合层次分析法（AHP）和频率比率（FR）方法，确定倒塌，滑坡和泥石流的最佳加权方案。所有的条件因素都显示出一定的预测能力，使得坍塌，滑坡和泥石流的模型具有非常好的性能。对于本研究区域，采用所有地质灾害样品的高精度分类方法，以塌陷，滑坡和泥石流的权重分别为0.297、0.539和0.164的多重地质灾害敏感性图是最佳的。本文的结论可以为研究区域的风险迁移和土地利用提供有意义的参考。泥石流达到了很好的效果。对于本研究区域，采用所有地质灾害样品的高精度分类方法，以塌陷，滑坡和泥石流的权重分别为0.297、0.539和0.164的多重地质灾害敏感性图是最佳的。本文的结论可以为研究区域的风险迁移和土地利用提供有意义的参考。泥石流达到了很好的效果。对于本研究区域，采用所有地质灾害样品的高精度分类方法，以塌陷，滑坡和泥石流的权重分别为0.297、0.539和0.164的多重地质灾害敏感性图是最佳的。本文的结论可以为研究区域的风险迁移和土地利用提供有意义的参考。