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国道213汶川—松潘段滑坡隐患遥感识别与易发性评价

Remote sensing identification and susceptibility evaluation of landslide hazards in Wenchuan-Songpan section of National Highway 213
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摘要 国道213汶川—松潘段位于强震山区,滑坡灾害频发,每年都会因滑坡灾害导致交通中断,迫切需要查明沿线滑坡隐患的空间分布,并对其易发性进行评价。利用光学遥感和InSAR综合遥感技术对沿线滑坡隐患进行识别,共识别滑坡隐患288处,其中InSAR探测出有形变的滑坡隐患点27处。以识别出的滑坡隐患为评价样本,选取高程、坡度、坡向、地表曲率、工程地质岩组、归一化植被指数(normalizied difference vegetation index,NDVI)、距道路距离、距河流距离、距断层距离等9个影响因素作为评价因子,采用Logistic回归模型评价该沿线滑坡隐患易发性,评价结果可为国道213汶川—松潘段滑坡灾害防治提供参考。 The Wenchuan-Songpan section of National Highway 213 is located in a mountainous area with strong earthquakes,where the landslide disasters occurred frequently.The traffic in this area is interrupted every year due to landslide disasters,so it is urgent to identify the space distribution of landslide hazards along the line and evaluate the susceptibility.A total of 288 landslide hazards were identified by the optical remote sensing and InSAR integrated remote sensing technology,of which 27 deformation landslide hazards were detected by InSAR.The identified landslide hazards were set as evaluation samples,and 9 influences including elevation,slope,slope aspect,surface curvature,engineering geological rock group,normalized vegetation index(NDVI),distance from road,distance from river,and distance from fault were selected.Besides,the logistic regression model is used to evaluate the susceptibility of landslide hazards in highway corridors.The evaluation results can provide a reference for the prevention and control of landslide disasters in the Wenchuan-Songpan section of National Highway 213.
作者 黄艳琴 李为乐 许洲 李鹏飞 铁永波 HUANG Yanqin;LI Weile;XU Zhou;LI Pengfei;TIE Yongbo(State Key Laboratory of Geohazard Prevention and Geoenvironment Protection,Sichuan Chengdu 610059,China;Sichuan Emei Mountain 403 Construction Engineering Limited Liability Company,Sichuan Leshan,614200,China;Guiyang Engineering Corporation Limited of Power China,Guizhou Guiyang 550081,China;Chengdu Geological Survey Center,China Geological Survey,Sichuan Chengdu 610081,China)
出处 《中国地质调查》 CAS 2022年第4期121-133,共13页 Geological Survey of China
基金 中华人民共和国科学技术部国家重点研发计划课题“重大崩滑灾害危险源识别指标体系研究(编号:2021YFC3000401)” 国家自然科学基金委员会川藏铁路专项“川藏铁路重大灾害风险识别与预测(编号:41941019)” 中国电力建设股份有限公司科技项目“金沙江上游河段大型滑坡致灾机制与风险防控研究(编号:DJ-ZDXM-2020-03)”联合资助。
关键词 国道213 滑坡隐患 遥感识别 LOGISTIC回归模型 易发性评价 National Highway 213 landslide hazard remote sensing recognition logistic regression model susceptibility assessment
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