摘要
贵州省开阳县地质条件复杂,区内地质灾害频发。以该县为研究区,选取高程、坡度、地形起伏度、坡向、工程岩组、斜坡结构、断层、水系、归一化植被指数(normalized difference vegetation index,NDVI)等9个影响因子,基于GIS的栅格数据模型,分别采用确定性模型(certainty factor,CF)、Logistic回归模型以及两种模型耦合的方法进行地质灾害易发性评价,利用灾害点在各等级下的分布和成功率曲线(receiver operating characteristic,ROC)对三种模型的评价精度进行检验。结果表明:CF模型与Logistic回归模型评价结果总体上一致,但是耦合模型的评价分区结果更加合理,精度更高。因此,基于耦合模型的评价结果,将开阳县地质灾害易发性等级分为高易发区、中易发区、低易发区和极低易发区。这为县级区域地质灾害易发性评价提供了理论指导和技术参考。
Kaiyang County,Guizhou,SW China,has complex geological conditions and suffers from frequent geological disaster.To assess the local geohazard susceptibility,nine factors were selected and analyzed,including altitude,the slope gradient,relief amplitude,slope direction,the engineering rock group,fault,drainage,the normalized difference vegetation index(NDVI)etc,using GIS-based raster data model,the geohazard level was accessed in logistic regression model,the certainty factor model,and the combination model.The assessment accuracy of the three models was compared based on the distribution of disaster points at each level and the receiver operating characteristic(ROC)curve.Results show that the combined model is the most reasonable,consistent,and accurate.Therefore,in geohazard level,the study area are divided into four zones,ie,high,intermediate,low,and very low.The results provide a theoretical guidance and technical reference for the evaluation of regional geological hazards at a county-wise level.
作者
覃乙根
杨根兰
江兴元
鲁鲲鹏
李子安
QIN Yi-gen;YANG Gen-lan;JIANG Xing-yuan;LU Kun-peng;LI Zi-an(College of Resource and Environment Engineering,Guizhou University,Guiyang 550025,China;Key Laboratory of Karst Environment and Geohazard,Guizhou University,Guiyang 550025,China)
出处
《科学技术与工程》
北大核心
2020年第1期96-103,共8页
Science Technology and Engineering
基金
贵州省科技平台及人才团队计划项目(黔科合平台人才[2017]5402号)
贵州省科学技术项目(黔科合J字2244)
贵州省专业学位研究生课程案例库项目[黔教合YJSCXJH﹝2018﹞089]
关键词
地质灾害
易发性
确定性系数模型
二元逻辑回归模型
耦合模型
geological hazard
susceptibility
certainty factor model
binary logistic regression model
coupling model