摘要
南迦巴瓦峰地区位于东喜马拉雅构造结的构造变形核心地带,地质构造环境复杂,地质灾害频发,加强对该地区的地表形变监测研究对当地防灾减灾和经济可持续发展有着重要意义。研究利用Sentinel-1卫星数据在该区域开展地表形变监测,通过PS-InSAR技术获得雷达视线方向(Line-Of-Sight, LOS)的形变速率分布与形变时间序列数据,并对地表形变的分布情况和2017年米林M6.9地震的同震形变情况展开分析与讨论。结果发现南迦巴瓦地区地表形变受新生代构造变形影响较大,研究区内的构造形变主要有同震、震后松弛形变和板块边界带的俯冲形变。雅鲁藏布江两侧变形差异较大,北侧呈缓慢的负形变趋势,南侧由于受到俯冲断裂的影响以较高的速率正形变。米林地震的同震形变呈现出西南盘负形变,北东盘正形变且西南盘形变量更大的空间分布特征。研究结果表明:InSAR监测技术可为青藏高原灾害监测和科学研究提供高时空分辨率的地表形变数据。
Namcha Barwa region is located in the core tectonic deformation zone of the Eastern Himalayan Syntaxis with a complicated geological-tectonic environment and frequent geohazards.Therefore,it is of great significance to strengthen the research of surface deformation monitoring in this area for local disaster prevention and mitigation and sustainable economic development.This study aims to monitor surface deformation using Sentinel-1 SAR images in this region.Using PS-InSAR technique,the surface deformation rates distribution and deformation time series on LOS(Line-Of-Sight)were acquired.Then the status of surface deformation distribution and coseismic deformation caused by Mainling M6.9 earthquake in 2017 were discussed.It is revealed that the deformation in Namcha Barwa is greatly affected by Cenozoic tectonic deformation.Tectonic deformation in the study area mainly included coseismic deformation,postseismic relaxation deformation and thrust deformation in plate boundary.The deformations were quite different on both sides of the Yarlung Zangbo River.A slow negative deformation trend is shown on the north side,while the south side is positive deformed at a high rate caused by thrust faults.The coseismic deformation of Mainling earthquake showed a spatial distribution trait of negative deformation on the southeast side of the epicenter,positive deformation on the northeast side,positive and a larger deformation on the southwest side.This study demonstrated that,InSAR can provide high spatial and temporal resolution surface deformation data for hazard monitoring and scientific research on Qinghai-Tibet Plateau.
作者
吴弼星
郭建文
吴阿丹
刘丰
冯敏
WU Bixing;GUO Jianwen;WU Adan;LIU Feng;FENG Min(Heihe Remote Sensing Experimental Research Station,Key Laboratory of Remote Sensing of Gansu Province,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China;University of Chinese Academy of Sciences,Beijing 100049,China;Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application,Nanjing 210023,China;Academy of Plateau Science and Sustainability,Qinghai Normal University,Xining 810016,China;National Tibetan Plateau Data Center,State Key Laboratory of Tibetan Plateau Earth System,Resources and Environment(TPESRE),Institute of Tibetan Plateau Research,Chinese Academy of Sciences,Beijing 100101,China)
出处
《遥感技术与应用》
CSCD
北大核心
2023年第5期1042-1053,共12页
Remote Sensing Technology and Application
基金
中国科学院战略性先导科技专项(A类)课题“泛第三极大数据平台及数据集成”(XDA20060600)。
