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    一种基于多源遥感的滑坡防灾技术框架及其工程应用

    李振洪 张成龙 陈博 占洁伟 丁明涛 吕艳 李鑫泷 彭建兵

    李振洪, 张成龙, 陈博, 占洁伟, 丁明涛, 吕艳, 李鑫泷, 彭建兵, 2022. 一种基于多源遥感的滑坡防灾技术框架及其工程应用. 地球科学, 47(6): 1901-1916. doi: 10.3799/dqkx.2022.205
    引用本文: 李振洪, 张成龙, 陈博, 占洁伟, 丁明涛, 吕艳, 李鑫泷, 彭建兵, 2022. 一种基于多源遥感的滑坡防灾技术框架及其工程应用. 地球科学, 47(6): 1901-1916. doi: 10.3799/dqkx.2022.205
    Li Zhenhong, Zhang Chenglong, Chen Bo, Zhan Jiewei, Ding Mingtao, Lü Yan, Li Xinlong, Peng Jianbing, 2022. A Technical Framework of Landslide Prevention Based on Multi-Source Remote Sensing and Its Engineering Application. Earth Science, 47(6): 1901-1916. doi: 10.3799/dqkx.2022.205
    Citation: Li Zhenhong, Zhang Chenglong, Chen Bo, Zhan Jiewei, Ding Mingtao, Lü Yan, Li Xinlong, Peng Jianbing, 2022. A Technical Framework of Landslide Prevention Based on Multi-Source Remote Sensing and Its Engineering Application. Earth Science, 47(6): 1901-1916. doi: 10.3799/dqkx.2022.205

    一种基于多源遥感的滑坡防灾技术框架及其工程应用

    doi: 10.3799/dqkx.2022.205
    基金项目: 

    国家自然科学基金 41941019

    陕西省科技创新团 2021TD-51

    陕西省地学大数据与地质灾害防治创新团队 2022

    中央高校基本科研业务费专项 300102260301

    中央高校基本科研业务费专项 300102262902

    中央高校基本科研业务费专项 300102261108

    中央高校基本科研业务费专项 300203211261

    详细信息
      作者简介:

      李振洪(1975-),男,教授,主要研究方向包括影像大地测量与生态地质环境.ORCID:0000-0002-8054-7449.E-mail:zhenhong.li@chd.edu.cn

      通讯作者:

      丁明涛, ORCID:0000-0003-1210-9188.E-mail: mingtaoding@chd.edu.cn

    • 中图分类号: P642

    A Technical Framework of Landslide Prevention Based on Multi-Source Remote Sensing and Its Engineering Application

    • 摘要: 我国是世界上受滑坡影响最大的国家之一,也投入了大量的人力物力开展区域性滑坡隐患探测工作.近年的政府工作表明,80%的滑坡发生在已圈定的隐患点范围外,80%的滑坡发生在防灾减灾工作条件相对薄弱的边远农村地区.为了解决这个困境,亟需:(1)厘清不同类型滑坡宜选用的广域探测技术,解决滑坡隐患广域探测的漏检问题;(2)突破社区协同滑坡防灾的难题,助力滑坡隐患探测和风险评估.本文将滑坡隐患分为4类:斜坡变形区、复活历史变形破坏区、稳定历史变形破坏区和潜在斜坡变形区,以便充分发挥多源遥感数据和技术的优势;进而提出一种“滑坡隐患广域探测-单体滑坡隐患风险评估-社区协同防灾”的多源遥感滑坡防灾技术框架.以青藏高原交通工程关键区段约10 000 km²区域作为研究区,协同社区(如设计和建设单位)共识别出滑坡隐患263处,其中斜坡变形区249处,复活历史变形破坏区5处,稳定历史变形破坏区9处,并针对3个典型滑坡隐患进行风险定量评估和社区协同防灾.该多源遥感技术框架将有助于提高社区滑坡防灾的能力,也将直接服务于青藏高原交通工程的建设与运维.

       

    • 图  1  多源遥感的滑坡防灾技术框架

      Fig.  1.  The multi⁃source remote sensing technical framework for landslide prevention

      图  2  青藏高原交通工程关键区段滑坡隐患的分布

      Fig.  2.  Distribution of potential landslides in the key section of the Qinghai⁃Tibet Plateau Transportation Project (QTPTP)

      图  3  贡巴滑坡的形态(a)和形变(b)信息,以及基于物理力学模型的滑坡失稳模拟(c)

      Fig.  3.  The geomorphological (a) and deformation (b) information of the Gongba landslide, and landslide failure simulation based on a physical and mechanical model (c)

      图  4  雄巴滑坡的地貌形态(a)和地表形变(b)信息,以及基于物理力学模型的滑坡失稳模拟(c)

      滑坡失稳模拟改编自Yao et al.2022

      Fig.  4.  The geomorphological (a) and surface displacement (b) information of the Xiongba landslide, and landslide failure simulation based on a physical and mechanical model (c)

      图  5  乱石包滑坡的地貌形态和地表形变信息

      Fig.  5.  The geomorphological and surface displacement information of the Luanshibao landslide

      表  1  滑坡隐患分类及识别方法

      Table  1.   Potential landslide types and their corresponding identification methods

      滑坡隐患类型 斜坡变形区 复活历史变形破坏区 稳定历史变形破坏区 潜在斜坡变形区
      示意图
      识别指标 可能存在裂缝、前缘小规模崩塌等形态信息,有形变信息 呈现圈椅状、存在滑坡后壁、滑坡侧壁、多级台坎,有形变信息 呈现圈椅状、存在滑坡后壁、滑坡侧壁、多级台坎,无形变信息 无形态或形变信息
      识别方法 光学卫星影像解译、InSAR技术、POT技术 光学卫星影像解译、InSAR技术、POT技术 光学卫星影像解译 航空物探、钻探
      下载: 导出CSV
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    • 收稿日期:  2022-06-08
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