地质科学2024，Vol.59Issue(2)：562-574,13.DOI:10.12017/dzkx.2024.039
基于斜坡单元和语义分割的皖南地区滑坡灾害易发性评估
Landslide susceptibility assessment in southern Anhui Province based on slope units and semantic segmentation
摘要
Abstract
Landslide disasters seriously affect people's lives and property safety and cause significant damage to the natural environment.Landslide susceptibility assessment based on slope units can allow for a more accurate representation of the actual terrain and provide more scientific theoretical support for the prevention and control of landslide disasters.Based on the data of landslide points in Huangshan,Xuancheng,Chizhou cities and the basic geographical data of southern Anhui Province,this paper selects landslide evaluation factors by using principal component analysis and multicollinearity analysis,proposes an innovative method that combines the geometric shape information of slope units and semantic segmentation,builds a landslide disaster vulnerability assessment model to evaluate the vulnerability of landslide disasters in southern Anhui Province and reveal its spatial distribution pattern.The results show that the landslide susceptibility assessment model constructed by combining slope units and semantic segmentation has high prediction accuracy and can fully consider the influence of geometric shape information of slope units on landslide susceptibility,and accurately assess the landslide susceptibility in southern Anhui Province.The evaluation results are consistent with the formation mechanism of landslides,with 62.19%of landslide units distributed on slope units with medium to high landslide susceptibility levels.The model predicts an AUC value of 0.878,which is significantly improved in prediction accuracy compared to CNN models lacking geometric shape information.关键词
斜坡单元/深度学习/语义分割/Unet/滑坡易发性评估Key words
Slop units/Deep learning/Semantic segmentation/Unet/Landslide susceptibility assessment分类
天文与地球科学引用本文复制引用
赵萍,赵思逸,孙雨,阮旭东,王宁,张树衡..基于斜坡单元和语义分割的皖南地区滑坡灾害易发性评估[J].地质科学,2024,59(2):562-574,13.基金项目
国家自然科学基金项目(编号:42271417)和杭州市主城区地质灾害风险调查评价项目(编号:W2021JSZX1150)资助 （编号:42271417）
