摘要
在滑坡易发性区划制图过程中,预测模型性能的优劣很大程度上取决于众多影响因子的选择和组合,如何选择滑坡影响因子以优化滑坡预测模型的性能是区域滑坡易发性评价的关键。本文提出一种基于强关联分析的Apriori算法,通过滑坡强关联分析来从预选的15个滑坡影响因子中选择诱发灾害可能性最高的因子进行组合,进而利用随机森林构建滑坡易发性预测模型,并通过因子优化前后的结果对比衡量该方法对模型预测性能的影响。结果表明,经过优化后的因子组所得到的滑坡易发区域与实际的滑坡分布情况更加吻合、产生的预测模型精度更优。Apriori算法对滑坡影响因子组合方法加以改进,为更加精确的滑坡易发性预测提供一种新思路。
In the process of landslide susceptibility mapping,the performance of the landslide prediction model depends largely on the selection and combination of influencing factors. How to select landslide impact factors to optimize the performance of landslide prediction model is the key to the evaluation of regional landslide susceptibility. This paper proposes an Apriori algorithm which based on the strong correlation analysis,and through landslide strong correlation analysis,the factors with the highest probability of inducing disaster were selected from 15 pre-selected landslide factors. Then use random forest building liability landslide prediction model,the results before and after the optimization of the factors are compared to measure the impact of the algorithm on the model prediction performance. The results show that the landslide prone area obtained by the optimized factors group is more consistent with the actual landslide distribution and the prediction model is more accurate. The Apriori algorithm improves the combination method of landslide impact factors,thereby providing a new idea for the landslide sensitivity prediction method.
作者
刘瑞
李露瑶
杨鑫
杨远陶
杨梅
LIU Rui;LI Luyao;YANG Xin;YANG Yuantao;YANG Mei(Key Laboratory of Earth Exploration and Information Technology of Ministry of Education,Chengdu University of Technology,Chengdu 610059,China;State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Chengdu Universityof Technology,Chengdu 610059,China;Chengdu University of Technology,Chengdu 610059,China)
出处
《地球与环境》
CAS
CSCD
北大核心
2021年第2期198-206,共9页
Earth and Environment
基金
四川省教育厅项目(14ZB0071)
四川省科技厅科技支撑项目(2012FZ0018)。
作者简介
第一作者:刘瑞(1979-),男,副教授,主要研究方向为地球探测与信息技术,E-mail:lr@cdut.edu.cn;通讯作者:李露瑶(1996-),女,硕士研究生,研究方向为遥感与地质灾害.E-mail:lilyao@stu.cdut.edu.cn.
