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SBAS/PS-InSAR技术在复杂山区地质灾害探测中的对比研究——以云南省福贡县为例 被引量:2

Detecting geological hazards in mountainous area using SBAS/PS-InSAR:a case study in Fugong County,Yunnan Province
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摘要 地质环境脆弱、气候条件复杂的高山峡谷区容易发生滑坡、崩塌、泥石流等地质灾害。但长期以来受到调查手段的局限,难以实现对高位、隐蔽林区的全面地质灾害调查和隐患排查。因此,高位隐蔽地质灾害的发生时间、位置、影响范围和灾害链往往难以预测,容易造成巨大的人员和财产损失。本文以位于横断山脉北段的云南省福贡县为研究区,采用对两种典型时间序列InSAR技术开展地表变形监测研究,探索适用于高山峡谷区的地质灾害隐患探测技术。研究表明,SBAS-InSAR技术的监测密度和范围远超PS-InSAR技术,检测出接近70%的地质灾害台账点存在变形迹象,可以有效弥补地面调查的不足。研究区地质灾害隐患大都分布于怒江及其支流沿岸的河谷和两侧高山,建议对这些地区进一步开展详查和监测工作。本文研究可对类似复杂山区地质灾害变形监测和调查提供参考。 Geological disasters such as landslides,collapses and mudslides are easy to occur in mountainous area having fragile geological environment and complex climatic conditions.However,it is still difficult to detect potential geological disasters there,especially those at high mountain and covered by forest,with traditional investigation techniques.Consequently,human lives and property are always severely threatened by them,as it is impossible to predict the time,location,impact range and disaster chain of the geological events by now.In this study,two typical time series of InSAR techniques are used detect surface deformation and potential geological hazards in high mountain canyon area Fugong County,Yunnan Province.The research shows that the density and range of scatter points detected by SBAS-InSAR are better than those detected by PS-InSAR,and nearly 70% of references which was identified by manual interpretation are detected by it.Results indicate that most potential geological hazards are distributed in valleys and mountains along the Nujiang River and its tributaries.It is suggested that further detailed investigation and monitoring should be carried out in these areas.The research provides references for investigating and monitoring geological hazards in the high mountains area of Southwest China.
作者 易邦进 吴帆 傅涛 黄成 钟成 YI Bangjin;WU Fan;FU Tao;HUANG Cheng;ZHONG Cheng(Yunnan Institute of Geological Science,Kunming,Yunnan 650051,China;Yunnan Bureau of Geology and Minerals Exploration and Development,Kunming,Yunnan 650051,China;Yunnan Geological Environmental Monitoring Institute,Kunming,Yunnan 650216,China;Badong National Observation and Research Station of Geohazards,China University of Geosciences,Wuhan,Hubei 430074,China)
出处 《贵州师范大学学报(自然科学版)》 CAS 2022年第6期54-61,共8页 Journal of Guizhou Normal University:Natural Sciences
基金 云南省地质矿产勘查开发局科技创新项目(202235) 长江科学院开放研究基金资助项目(CKWV2018485/KY) 2020年度云南省重点区域地质灾害精细化调查与风险评价项目(YNLH202011010793/A) 湖北巴东地质灾害国家野外科学观测研究站开放基金(BNORSG-202104)。
关键词 滑坡 SBAS PS INSAR 变形监测 landslide SBAS PS InSAR deformation monitoring
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