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[1]徐晓雪,季灵运*,张文婷,等.基于相干性的InSAR时间序列方法追溯四川雅安地区汉源滑坡灾前形变[J].地球科学与环境学报,2022,44(04):632-640.[doi:10.19814/j.jese.2021.06015]
 XU Xiao-xue,JI Ling-yun*,ZHANG Wen-ting,et al.Pre-failure Displacements of Hanyuan Landslide in Ya'an Area of Sichuan, China Traced by a Coherence-based InSAR Time Series Method[J].Journal of Earth Sciences and Environment,2022,44(04):632-640.[doi:10.19814/j.jese.2021.06015]
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基于相干性的InSAR时间序列方法追溯四川雅安地区汉源滑坡灾前形变(PDF)
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《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

卷:
第44卷
期数:
2022年第04期
页码:
632-640
栏目:
大地测量、遥感与地学大数据
出版日期:
2022-07-15

文章信息/Info

Title:
Pre-failure Displacements of Hanyuan Landslide in Ya'an Area of Sichuan, China Traced by a Coherence-based InSAR Time Series Method
文章编号:
1672-6561(2022)04-0632-09
作者:
徐晓雪12季灵运123*张文婷12刘传金12
(1. 中国地震局第二监测中心,陕西 西安 710054; 2. 国家遥感中心 地质灾害部,北京 100036; 3. 防灾科技学院 地球科学学院,河北 三河 065201)
Author(s):
XU Xiao-xue12 JI Ling-yun123* ZHANG Wen-ting12 LIU Chuan-jin12
(1. The Second Monitoring and Application Center of China Earthquake Administration, Xi'an 710054, Shaanxi, China; 2. Department of Geological Hazards, National Remote Sensing Center of China, Beijing 100036, China; 3. School of Earth Sciences, Institute of Disaster Prevention, Sanhe 065201, Hebei, China)
关键词:
滑坡 InSAR技术 相干性 时间序列 SBAS方法 坡向形变 形变追溯 四川
Keywords:
landslide InSAR technology coherence time series SBAS method slope deformation deformation tracking Sichuan
分类号:
P22
DOI:
10.19814/j.jese.2021.06015
文献标志码:
A
摘要:
滑坡的高精度监测对于理解其运动学特征和减少滑坡造成的灾害是很有必要的,合成孔径雷达干涉测量(InSAR)技术可以为滑坡灾前形变监测提供新的技术途径。针对植被覆盖非常茂密的环境,采用基于相干性的InSAR时间序列方法,使用多轨道Sentinel-1 SAR影像数据集,厘定四川雅安地区汉源滑坡发生前(2018年10月至2020年8月)时空运动特征,并结合多轨道视线向形变结果提取滑坡沿坡向的运动分量。结果表明:汉源滑坡雷达视线方向(LOS)最大年平均形变速率为42.1 mm·年-1,滑前最大累积形变量达97 mm,共经历了形变加速和稳定两个阶段的变形; 滑坡沿坡向的最大年平均形变速率为43.9 mm·年-1。上述研究结果为汉源滑坡提供了第一手、相对完整的形变测量资料,展示了InSAR技术在滑坡灾前形变追溯方面的应用潜力。
Abstract:
High precision monitoring of landslides is necessary for understanding the kinematic characteristics of landslides and reducing the disasters caused by landslides. Interferometry synthetic aperture radar(InSAR)technology can provide a new technical way for deformation monitoring of landslides before disasters. Due to the serious vegetation coverage environment, the coherence-based InSAR time series method was adopted, and the multi-orbit Sentinel-1 SAR image dataset was used to determine the spatio-temporal motion characteristics of Hanyuan landslide in Ya'an area of Sichuan before the disaster from Oct, 2018 to Aug, 2020. Combined with the LOS deformation of the lifting track, the motion components of the landslide along the aspect were extracted. The results show that the maximum average LOS deformation rate of Hanyuan landslide is 42.1 mm·a-1, and the maximum cumulative deformation before sliding is 97 mm, which undergoes two stages of deformation acceleration and stability; the maximum average deformation rate of landslide along the aspect is 43.9 mm·a-1. In general, the InSAR technology has the potential in tracing the pre-failure displacement of landslide, and the research results provide the latest and relatively complete deformation measurement data for Hanyuan landslide.

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备注/Memo

备注/Memo:
收稿日期:2021-06-12; 修回日期:2021-10-25投稿网址:http:∥jese.chd.edu.cn/
基金项目:国家自然科学基金项目(41904007,41604015,42104061); 中国地震局震情跟踪定向工作任务项目(2021010203)
作者简介:徐晓雪(1993-),女,河南卫辉人,中国地震局第二监测中心工程师,E-mail:pdx212_xx@163.com。
*通讯作者:季灵运(1982-),男,内蒙古赤峰人,中国地震局第二监测中心研究员,理学博士,E-mail:dinsar010@163.com。
更新日期/Last Update: 2022-07-30