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基于In SAR技术天山乌吐劲河谷同震形变遥感研究
Research on coseismic deformation in Ukraine River Valley of Tianshan Mountains based on InSAR technology
【摘要】 基于ALOS/PALSAR雷达卫星影像,采用合成孔径雷达干涉测量(interferometric synthetic aperture Radar,InSAR)技术,重建地震形变前后的数字高程模型(digital elevation model,DEM),经RTK校验后利用差值算法反演天山乌吐劲河谷地震同震场形变特征。研究结果表明:①去尖三角状崩塌形变面积为104. 47万m2,崩塌量为1 461. 60万m~3,起始端高程为3 225 m,平均坡度为48°,坡向为NNW;②喇叭状堆积形变面积为78. 61万m~2,堆积量为1 424. 27万m~3,掩埋深度为35~80 m;③河道南岸堆积形变将河床向北推进了100 m、向东推进了300 m;④崩塌形变阻塞河道后导致水体形变,形成堰塞湖水面面积在30 d内由原有的0. 039 km~2增大至0. 059 km~2,并在2010年湖面面积出现峰值0. 146 km~2;⑤形变原因不仅是由于其处在地震活动带上,还有石灰岩岩性、地形坡度和断裂构造等综合因素作用的结果。
【Abstract】 In this paper,the authors studied the coseismic deformation in Ukraine River valley in Tianshan Mountains,and reconstructed digital elevation modle(DEM) graph of 12.5 m spatial resolution for the study area before and after the earthquake using the ALOS/PALSAR data by InSAR remote sensing technique.Then the authors obtained the remote sensing characteristics of seismic collapse of earthquake by difference method of the DEM after the field verification by RTK calibration.The results show that:① The area of the collapse of the triangle is 104.47 million m~2,the collapse is 1 416.60 million m~3,the starting elevation is 3 225 m,the average slope is 48°,and slope direction is NNW.②The trumpet-shaped accumulation body area is 78.61 million m~2,the accumulation is 1 424.27 million m~3,and the buried depth is between 35 m and 80 m.③The river bed was pushed northward by 100 m,and the eastward advance reached 300 m,due to the accumulation body of the south of the river channel.④Collapse of the body led to the the formation of quake river.The surface area of the lake increased from 0.039 km2 to 0.059 km~2 within 30 days and the lake area reached the peak of 0.146 km~2 in 2010.⑤The factors responsible for the collapse included not only seismic activity but also limestone lithology,terrain slope,fault structure and other comprehensive factors.
【Key words】 InSAR; coseismic deformation; Tianshan Mountains; remote sensing; dammed lake;
- 【文献出处】 国土资源遥感 ,Remote Sensing for Land & Resources , 编辑部邮箱 ,2019年01期
- 【分类号】P315.7;P237
- 【网络出版时间】2019-03-16 13:32
- 【被引频次】2
- 【下载频次】193