| 基于InSAR和光学遥感的贵州鬃岭采煤滑坡识别与危险性评价 |
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| 引用本文： | 朱怡飞,姚鑫,姚磊华,周振凯,姚闯闯,肖诗豪.基于InSAR和光学遥感的贵州鬃岭采煤滑坡识别与危险性评价[J].地质力学学报,2022,28(2):268-280. |
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| 作者姓名： | 朱怡飞 姚鑫 姚磊华 周振凯 姚闯闯 肖诗豪 |
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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： | 三峡集团公司项目YMJ（XLD）/（19）110；中国地质调查局工作项目（DD20221738-2） |
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| 摘 要： | 贵州鬃岭滑坡群具有孕灾规律性强、发育集中密集、威胁严重等特点。文章利用InSAR和光学遥感进行精细识别，获取了区域滑坡灾害信息，总结了鬃岭区域滑坡变形破坏模式，基于此建立了该地区的滑坡风险评价的体积-距离统计公式，并对典型灾害体进行了计算，获得了一些重要认识。地下采煤活动是引起鬃岭桌山边缘山体变形的主要原因；InSAR观测结果显示鬃岭地区变形具有明显的带状特征，年平均变形速度为-20.4~10.2 cm/a，与下部采空区具有较好的对应关系，大位移区域集中在采煤沉降和斜坡重力叠加的桌山边缘地带；鬃岭地区现存变形现象64处，其中滑坡37处，裂缝27条，危险变形体2处；滑坡主要发生在飞仙关组深灰色灰岩岩层和暗紫红色泥质粉砂岩岩层中，根据滑源岩性及变形特征将滑坡划分为拉裂-倾倒和拉裂-剪断两种类型，其中拉裂-倾倒型滑坡堆积体粒径大，运动距离远，威胁较大；文中建立的岩质滑坡碎屑流滑移距离计算公式，对鬃岭地区上硬下软地层中发育的采煤滑坡滑移距离具有良好的适用性，验证误差在5%以内，利用该公式对鬃岭滑坡群左家营和箐脚危险变形体进行计算，预测危险避让距离在220~386 m。文章提出的基于差分干涉测量技术和光学影像的采煤滑坡危险性评价方法对黔西、滇东地区的采矿滑坡防治工作具有重要的示范意义。
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| 关 键 词： | 鬃岭滑坡群 光学遥感 InSAR 滑坡运移距离 危险性评价 |
| 收稿时间： | 2021/5/29 0:00:00 |
| 修稿时间： | 2021/9/17 0:00:00 |
Identification and risk assessment of coal mining-induced landslides in Guizhou Province by InSAR and optical remote sensing |
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| ZHU Yifei,YAO Xin,YAO Leihua,ZHOU Zhenkai,YAO Chuangchuang,XIAO Shihao.Identification and risk assessment of coal mining-induced landslides in Guizhou Province by InSAR and optical remote sensing[J].Journal of Geomechanics,2022,28(2):268-280. |
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| Authors: | ZHU Yifei YAO Xin YAO Leihua ZHOU Zhenkai YAO Chuangchuang XIAO Shihao |
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| Affiliation: | 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.Research Center of Neotectonism and Crustal Stability, China Geological Survey, Beijing 100081, China4.School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China5.School of Civil Engineering, Guizhou University, Guiyang 550000, Guizhou, China |
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| Abstract: | The Zongling landslide group in Guizhou Province is characterized by strong regularity of disaster formation, concentrated development and severe threat. It is represented in the coal mining-induced geological hazards in western Guizhou and eastern Yunnan. In this paper, InSAR and optical remote sensing were used for nuanced identification to obtain the regional landslide information, and the landslide deformation-failure mode in the Zongling region was summarized. Based on this, the volume-distance statistical formula suitable for landslide risk assessment in this region was established, and the typical disaster bodies ware calculated. Some important insights are gained:Underground coal mining is the major contributor to the deformation of the edge of Table Mountain in Zongling. InSAR observation results show that the deformation in the Zongling area has prominent zonal characteristics, and the annual average deformation velocity is between -20.4~10.2 cm/a, which corresponds well with the lower goaf. The areas with great displacement are concentrated in the edge zone of cuesta, with coal mining subsidence and slope gravity superimposed; There are 64 deformations in the Zongling area, including 37 landslides, 27 cracks, and 2 dangerous deformed bodies. Landslides mainly occur in the dark grey limestone strata and dark purplish-red argillaceous siltstone strata of the Feixianguan Formation. According to the lithology and deformation characteristics of the slip source, the landslides can be classified into two types:pull-toppling and pull-clipping, and the former is distinguished by large particle size, long movement distance, and severe threat. The formula for calculating the slip distance of rock landslide debris flow has good applicability to the slip distance of coal mining-induced landslide developed in the "upper hard and lower soft" strata in the Zongling area, and the verification error is less than 5%. The formula is used to calculate the dangerous deformed bodies of Zuojiaying and Jingjiao in the study area, and the danger avoidance distance is predicted to be 220~386 m. The proposed method of coal mining-induced landslide risk assessment based on differential interferometry and optical image play an exemplary role for the prevention and control of coal mining-induced landslides in western Guizhou and eastern Yunnan. |
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| Keywords: | Zongling landslide group optical remote sensing InSAR landslide slip distance risk assessment |
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