沉积与特提斯地质2024，Vol.44Issue(3)：547-559,13.DOI:10.19826/j.cnki.1009-3850.2024.08002
基于频率比-支持向量机耦合模型的四川省喜德县滑坡易发性评价
Landslide susceptibility mapping in Xide County,Sichuan Province based on frequency ratio-support vector machine coupling model
摘要
Abstract
This study addresses the critical issue of selecting factor classification base data and evaluation models for landslide susceptibility mapping,focusing on Xide County in Sichuan Province,a region frequently affected by landslide hazards.Utilizing slope units as evaluation units,a correlation analysis of the evaluation factors was conducted,ultimately selecting eleven key factors:elevation,slope angle,curvature,normalized difference vegetation index(NDVI),stream power index(SPI),distance to watercourses,distance to roads,distance to faults,slope structure,engineering geological rock groups,and land use types.Factors were classified using the natural breaks method for both regional point attributes and landslide point attributes.These classified factors were then incorporated into the frequency ratio model and the frequency ratio-support vector machine coupled model to evaluate landslide susceptibility.The precision of these models was validated using receiver operating characteristic(ROC)curves and typical slope analysis.The findings revealed that using landslide-specific attributes as the classification base data within the coupled model framework yielded the highest evaluation accuracy,with an area under the ROC curve(SAUC)value of 0.752,indicating a superior predictive capability for landslide susceptibility.The simulation results indicated that areas of extremely high and high susceptibility constitute 4.65%and 23.73%of the study area,respectively,predominantly located in regions characterized by significant topographic relief,well-developed faults,and intense human engineering activities.Conversely,regions with sparse faults and low population density were categorized as medium and low susceptibility zones,accounting for 44.20%and 27.42%of the study area,respectively.These findings provide essential scientific insights and references for the effective assessment and management of landslide susceptibility in Xide County and other similar regions.关键词
滑坡易发性/因子分级/频率比模型/支持向量机模型/耦合模型Key words
landslide susceptibility/factor grading/frequency ratio model/support vector machine model/coupling model分类
资源环境引用本文复制引用
孙才,铁永波,宁志杰,徐伟,熊小辉..基于频率比-支持向量机耦合模型的四川省喜德县滑坡易发性评价[J].沉积与特提斯地质,2024,44(3):547-559,13.基金项目
乌蒙山区重大地质灾害易灾机理和风险防控研究(202403AA080001) （202403AA080001）
中国地质调查局地质调查项目(DD20221746,DD20230086) （DD20221746,DD20230086）
