姚鑫, 凌盛, 李凌婧, 张永双, 周振凯, 刘星洪, 姚佳明. 2016: 中巴经济走廊喀喇昆仑山区段蠕滑滑坡InSAR识别研究. 工程地质学报, 24(s1): 1283-1289. DOI: 10.13544/j.cnki.jeg.2016.s1.187
    引用本文: 姚鑫, 凌盛, 李凌婧, 张永双, 周振凯, 刘星洪, 姚佳明. 2016: 中巴经济走廊喀喇昆仑山区段蠕滑滑坡InSAR识别研究. 工程地质学报, 24(s1): 1283-1289. DOI: 10.13544/j.cnki.jeg.2016.s1.187
    YAO Xin, LING Sheng, LI Lingjing, ZHANG Yongshuang, ZHOU Zhenkai, LIU Xinghong, YAO Jiaming. 2016: STUDY OF SLOW-MOVING LANDSLIDE RECOGNITION BY INSAR IN THE KARAKORAM MOUNTAIN SECTION OF CHINA-PAKISTAN ECONOMIC CORRIDOR. JOURNAL OF ENGINEERING GEOLOGY, 24(s1): 1283-1289. DOI: 10.13544/j.cnki.jeg.2016.s1.187
    Citation: YAO Xin, LING Sheng, LI Lingjing, ZHANG Yongshuang, ZHOU Zhenkai, LIU Xinghong, YAO Jiaming. 2016: STUDY OF SLOW-MOVING LANDSLIDE RECOGNITION BY INSAR IN THE KARAKORAM MOUNTAIN SECTION OF CHINA-PAKISTAN ECONOMIC CORRIDOR. JOURNAL OF ENGINEERING GEOLOGY, 24(s1): 1283-1289. DOI: 10.13544/j.cnki.jeg.2016.s1.187

    中巴经济走廊喀喇昆仑山区段蠕滑滑坡InSAR识别研究

    STUDY OF SLOW-MOVING LANDSLIDE RECOGNITION BY INSAR IN THE KARAKORAM MOUNTAIN SECTION OF CHINA-PAKISTAN ECONOMIC CORRIDOR

    • 摘要: 中巴经济走廊喀喇昆仑山腹地洪扎河谷段构造运动活跃、地形陡峭、垂直气候分带明显、降雪丰沛、冰川侧蚀作用显著,发育了广泛的蠕滑滑坡。本文利用具有高精度、大范围、无接触优势的InSAR技术对该地区地表变形进行观测,结合光学遥感解译、现场验证以及地质条件综合分析,识别了研究区内蠕滑滑坡,进而分析了2007a~2011年变形特征及分布规律,获得了如下主要认识:(1)PS-InSAR融合多期D-InSAR方法可以观测每年毫米级至分米级的地表变形,不仅克服了中长时间跨度内的失相干,而且较好的解决了大变幅运动速率的观测问题,证明了InSAR技术在喀喇昆仑地区对蠕滑滑坡灾害识别的可行性与准确性;(2)研究区蠕滑滑坡后缘裂缝一般较明显,2008年末至2009年初各滑坡滑动速率明显快于其他时间,可能受到2008年巴基斯坦北部强降雨影响而加速运动;(3)研究区蠕滑滑坡平均速率在10~30mmyr-1之间,2010年阻断喀喇昆仑公路的Attabad滑坡发生前出现27.8~83.8cmyr-1的异常快速变形,这为进一步开展该区域滑坡监测预警工作提供了参数依据。

       

      Abstract: There are lots of slow-moving landslides in Hongza valley of Karakoram Mountain along China-Pakistan Economic Corridor, under the geological setting of active tectonic movement, steep terrain, vertical climate, abundant snow, glacier erosion, et al. This study employs the InSAR technology with characteristics of high accuracy, larger region coverage, and untouch, to observe ground surface deformation. Assisting the optical remote sensing interpretation and field validation, we recognize the slow-moving landslides, and further analyze their deformation feature and distribution, draw the following conclusions.(1) Combination of PS-InSAR and D-InSAR can achieved the velocity scale from mm/yr to dm/yr, which not only overcome the lose coherence of SAR date, but also gain the bigger velocity deformation, demonstrating the InSAR technique with PALSAR data is possible and accurate for the slow-moving landslide observationin this area; (2) Slow-moving landslide trailing edge rupture is clear commonly, the deformation between the end of 2008 and the earlier of 2009 is larger than that of other periods, which may be affected by storm rainfall in the second half year of 2008; (3) the velocities of slow-moving landslides ranger from 10 to 30mmyr-1,while the failed Attabad landslide blocked the Karakoram road in 2010 has the abnormal velocity of 27.8~83.8cmyr-1,which provides evidence for the further study for monitoring and early warming.

       

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