| 基于InSAR识别的黄土高原活动性地质灾害发育规律分析 |
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| 引用本文： | 姚闯闯,姚鑫,顾畛逵,任开瑀,周振凯.基于InSAR识别的黄土高原活动性地质灾害发育规律分析[J].地质力学学报,2022,28(2):257-267. |
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| 作者姓名： | 姚闯闯 姚鑫 顾畛逵 任开瑀 周振凯 |
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| 作者单位： | 1.中国地质科学院地质力学研究所，北京 100081 |
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| 基金项目： | 中国地质调查局地质调查项目（DD20190717）；国家重点研发计划课题（2018YFC1505002）；三峡集团公司项目YMJ（XLD）（19）110） |
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| 摘 要： | 地震、降雨、人类工程活动诱发的活动性地质灾害在黄土高原频现，但由于其地域广阔、构造活跃、地貌类型多样、各地黄土特性差异较大，一直以来缺乏活动性地质灾害发育分布的系统认识。InSAR技术具有大范围观测地表变形的能力，文章利用2019年1月1日至2020年3月31日期间40期Sentinal-1 SAR数据，计算了整个黄土高原62.46×104 km2的地表变形，辅助地貌和光学影像特征，解译了4类活动性地质灾害，共解译出活动性地质灾害3286处，其中滑坡1135处、采矿塌陷1691处、沉降368处、堆填变形体92处，同时对其活动发育规律进行了分析。黄土高原活动性地质灾害主要分布在八大区域，包括四大滑坡发育区、三大采矿塌陷分布区和一个沉降灾害分布区。活动性滑坡在空间分布上具有显著的区域性和丛集性，主要分布在中西部，滑坡体的发育密度与地形地貌有一定联系；采矿塌陷和地面沉降分布在中东部，密集且成群发育。地质灾害发育具有明显的时空发生规律，区域尺度上，地质灾害的发育密集程度受地形地貌和矿产资源的控制；灾害规模上，InSAR识别的灾害规模都为中型以上，与传统统计手段有一定差别。InSAR的识别结果客观反映了黄土高原地质灾害的分布规律。同时，InSAR技术能够有效监测到地下采煤诱发的地表破坏的分布、范围和强度以及露天采煤矿坑深度和范围的扩展，进而推断煤业生产活动强度。
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| 关 键 词： | 活动性地质灾害 黄土高原 InSAR 滑坡 采煤塌陷 |
| 收稿时间： | 2021/7/16 0:00:00 |
| 修稿时间： | 2021/12/15 0:00:00 |
Analysis on the development law of active geological hazards in the Loess Plateau based on InSAR identification |
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| YAO Chuangchuang,YAO Xin,GU Zhenkui,REN Kaiyu,ZHOU Zhenkai.Analysis on the development law of active geological hazards in the Loess Plateau based on InSAR identification[J].Journal of Geomechanics,2022,28(2):257-267. |
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| Authors: | YAO Chuangchuang YAO Xin GU Zhenkui REN Kaiyu ZHOU Zhenkai |
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| Institution: | 1.Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China2.Key Laboratory of Active Tectonics and Geological Safety, Ministry of Natural Resources, Beijing 100081, China3.School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China |
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| Abstract: | Active geological disasters induced by earthquakes, rainfalls and human engineering activities occur frequently in the Loess Plateau. However, there is a lack of systematic understanding of the development and distribution of active geological disasters in the Loess Plateau due to the wide area, active structure, diverse landforms and great difference in loess characteristics. InSAR technology can observe surface deformation in a wide range. Based on 40 sentinal-1 SAR data from January 1, 2019 to March 31, 2020, a total of 3286 active geological disasters in the Loess Plateau of 624,600 km2 were interpreted by InSAR, including 1135 landslides, 1691 mining collapses, 368 subsidences and 92 landfills. Combined with geomorphological and optical image characteristics, four types of active geological hazards were interpreted, which reveals that they are mainly distributed in eight regions, including four landslide areas, three mining collapse areas and one subsidence area. The spatial distribution of active landslides is obviously regional and clustered, concentrating in the middle and west of China; while that of mining collapse and land subsidence densely developed in groups in the middle and west of China. There is a relationship between landslide development density and topography. The development of these geological disasters has an obvious spatio-temporal regularity. Regionally, the development intensity of geological disasters is controlled by topography and mineral resources; and in terms of scale, disasters identified by InSAR are all above medium size, which is different from traditional statistical methods. InSAR identification results objectively reflect the distribution of geological disasters in the Loess Plateau, and deepened our understanding on that as well. InSAR technique, meanwhile, can effectively detect the surface damage induced by underground coal mining, including its distribution, scope, strength, and monitor the depth and scope of opencast coal mine, and then infer the intensity of coal production activities. |
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| Keywords: | active geological hazards Loess Plateau InSAR landslide coal mining collapse |
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