中国地质调查2025，Vol.12Issue(4)：113-123,11.DOI:10.19388/j.zgdzdc.2024.368
基于特征指标筛选与负样本优化的山区滑坡易发性评价
Susceptibility assessment of mountain landslide based on feature indicator screening and negative sample optimization
摘要
Abstract
Landslide susceptibility assessment is the basis of disaster monitoring and early warning.How to scien-tifically and reasonably screen feature indicators and optimize assessment samples is still a difficult and easily ig-nored problem.The authors took Longshan County of Hunan Province as an example,and screened high-quality indicators by principal component analysis(PCA),correlation analysis and collinearity diagnosis,based on 15 feature indicators such as elevation,slope and slope direction.An optimize negative samples(ONS)method was proposed to construct assessment samples,and then certainty factor-random forest(CF-RF)model was used to map landslide susceptibility.The accuracy of prediction results was tested according to receiver operating charac-teristic(ROC)curve and rationality analysis.The results show that ONS-CF-RF model can significantly en-hance the accuracy of model assessment.The area under curve(AUC)of this model has increased by 10.64％compared to the AUC of CF-RF model.The high landslide prone area is concentrated in human gathering area in the northwest corner of the study area,while the low landslide prone area is distributed in the high-altitude mountainous area which is less affected by human activities.The research results could provide scientific guidance for the prevention and control of landslide disaster in Longshan County,and could also provide references for the landslide prone zoning in the same type of region.关键词
滑坡易发性评价/特征指标/负样本/ROC曲线Key words
landslide susceptibility assessment/feature indicator/negative sample/receiver operating characteris-tic curve分类
天文与地球科学引用本文复制引用
杨若君,夏洋德龙,夏乐,贺秋华,李明波..基于特征指标筛选与负样本优化的山区滑坡易发性评价[J].中国地质调查,2025,12(4):113-123,11.基金项目
湖南省自然资源青年科技项目"湖南省1∶1万地质灾害调查和风险评价技术标准(编号:20240201DZ)"与湖南省自然资源事务中心财政项目"洞庭湖流域生态保护修复工程技术创新中心2025年度建设运行"联合资助. （编号:20240201DZ）
