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基于短基线InSAR技术的滑坡监测研究——以四川茂县为例

Research on Landslide Monitoring Based on Small Baseline InSAR Technology-Taking Maoxian County in Sichuan Province as an Example
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摘要 四川茂县地区地质活动频繁、降雨丰富,易发生山体滑坡,有必要对其相关特征进行监测、分析和预测。本文采用SBAS-InSAR技术,对2017年3月~6月期间茂县以及周边区域的8景Sentinel-1A影像进行干涉处理,反演得到地表形变速率并进行时序分析。根据对地表沉降速率的分析,当地的地质特点可能与气候和地质构造有关。基于以上分析,本文预测当地未来有滑坡可能,且得到验证。本文的研究内容对城市灾害的监测预防以及SBAS-InSAR技术在山体滑坡中的应用有重要意义。 Maoxian County, Sichuan Province is prone to landslides due to frequent geological activities and abundant rainfall. It is necessary to monitor, analyze and predict its relevant characteristics. In this paper, SBAS-InSAR technology is used to carry out interference processing on eight sentinel-1 A images of Maoxian County and its surrounding areas from March to June 2017,and retrieve the surface deformation rate then analyze the time sequence basing on the data above. According to the analysis of surface subsidence rate, the form of local geological characteristics may be related to local climate character and geological structure. Based on the analysis above, this paper made a prediction that there is a possibility of landslide in the local area in the future, and this prediction has been verified. The research content of this paper is of great significance to the monitoring and prevention of urban disasters and the application of SBAS-InSAR technology in landslides.
作者 彭艺 吴云龙 杨玉 袁华清 PENG Yi;WU Yunlong;YANG Yu;YUAN Huaqing(Key Laboratory of Earthquake Geodesy,Institute of Seismology of China Earthquake Administration,Wuhan 430071,China;Institute of Disaster Prevention,Hebei Key Laboratory of Earthquake Dynamics,Sanhe 065201,China)
出处 《城市勘测》 2022年第6期102-107,共6页 Urban Geotechnical Investigation & Surveying
基金 国家自然科学基金项目(41974096,41931074)。
关键词 灾害监测 SBAS-InSAR 地表沉降 降水量 disaster monitoring SBAS-InSAR surface subsidence precipitation
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