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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
作者姓名:黄艳琴  李为乐  许洲  李鹏飞  铁永波
作者单位:1.成都理工大学地质灾害防治与地质环境保护国家重点实验室,四川 成都 610059;2.四川峨眉山四零三建设工程有限责任公司,四川 乐山 614200;3.中国电建集团贵阳勘测设计研究院有限公司,贵州 贵阳 550081;4.中国地质调查局成都地质调查中心,四川 成都 610081
基金项目: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
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。

关 键 词:国道213  滑坡隐患  遥感识别  Logistic回归模型  易发性评价  
收稿时间:2022-05-20

Remote sensing identification and susceptibility evaluation of landslide hazards in Wenchuan-Songpan section of National Highway 213
Authors:HUANG Yanqin  LI Weile  XU Zhou  LI Pengfei  TIE Yongbo
Institution:1. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Sichuan Chengdu 610059, China;2. Sichuan Emei Mountain 403 Construction Engineering Limited Liability Company, Sichuan Leshan, 614200, China;3. Guiyang Engineering Corporation Limited of Power China, Guizhou Guiyang 550081, China;4. Chengdu Geological Survey Center, China Geological Survey, Sichuan Chengdu 610081, China
Abstract: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.
Keywords:National Highway 213  landslide hazard  remote sensing recognition  logistic regression model  susceptibility assessment  
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