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    “三查”体系在高植被山区地质灾害隐患识别与监测中的应用——以四川省乐山市为例

    Application of the space-air-ground investigation system in the identification and monitoring of geohazards in highly vegetation-covered mountain areas: A case study of Leshan City, Sichuan Province

    • 摘要: 自天-空-地一体化的“三查”体系提出以来,地质灾害隐患识别与监测示范性工作取得显著成效。四川省乐山市是示范区中的地质灾害重点防治区,高植被覆盖率和集中降雨导致地质灾害具有高位隐蔽和突发性。该文以乐山市为研究区,采用天-空-地一体化的“三查”技术体系,开展高植被山区地质灾害隐患识别与监测应用研究。主要得出以下结论: ①研究区共识别地质灾害隐患75处,通过现场核查确认地质灾害隐患解译数为51处,识别准确率为68%,新识别隐患点36处; ②地质灾害隐患主要集中分布在2个区域,集中区内识别地质灾害隐患37处,占研究区地质灾害隐患的72.5%; ③Stacking-InSAR可以作为斜坡初始变形阶段的地质灾害识别手段; 斜坡处于显著变形阶段且在InSAR探测能力范围内时,Stacking-InSAR、高分辨率光学卫星影像、LiDAR均能作为地质灾害识别的技术手段; ④在高植被覆盖的山区,可利用LiDAR技术去除地表植被的影响,结合一定的专家经验开展地质灾害隐患识别工作; ⑤目前利用遥感手段很难对“非显性地质灾害隐患”进行有效识别。

       

      Abstract: The space-air-ground investigation system has achieved remarkable results in the identification and monitoring demonstration work of geohazards. Leshan City in Sichuan Province, China, is a key zone for preventing and controlling geohazards within the demonstration area. The high vegetation cover and concentrated rainfall lead to the high concealment and sudden occurrence of geohazards in Leshan City, necessitating the identification and monitoring of geohazards in this city. Hence, under the guidance of the space-air-ground investigation system, this study explored the identification and monitoring of geohazards in the highly vegetation-covered mountain areas within Leshan City. The results indicate that 75 geohazards were identified in the study areas, with 51 confirmed through field verification, suggesting an identification accuracy rate of 68 %. Among them, 36 geohazards were newly identified. The geohazards were primarily concentrated in two areas, where 37 were identified, representing 72.5 % of the total geohazards in the study areas. Concerning techniques for identifying geohazards at different deformation stages of slopes, stacking-interferometric synthetic aperture radar (InSAR) can be employed to detect geohazards at the initial deformation stage of slopes. For slopes experiencing significant deformation within the detection range of InSAR, techniques like stacking-InSAR, high-resolution optical satellite imagery, and light detection and ranging (LiDAR) can all be used for geohazard identification. For highly vegetation-covered mountain areas, the LiDAR technique, which can be utilized to remove the effects of surface vegetation, combined with expert knowledge, can be used for geohazard identification. Additionally, remote sensing techniques face challenges in effectively identifying concealed geohazards.

       

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