Source model for the Mw 6.0 earthquake in Jiashi, China on 19 January 2020 from Sentinel-1A InSAR data

被引:0
|
作者
Pengfei Yu
Xuejun Qiao
Wei Xiong
Wei Chen
Zhaosheng Nie
Dijin Wang
Zhige Jia
Jie Li
机构
[1] China Earthquake Administration,Institute of Geophysics
[2] China Earthquake Administration,Key Laboratory of Earthquake Geodesy, Institute of Seismology
[3] Earthquake Administration of Xinjiang Uygur Autonomous Region,undefined
来源
关键词
Jiashi earthquake; InSAR; Coseismic deformation; Source model; Coulomb stress;
D O I
暂无
中图分类号
学科分类号
摘要
On January 19, 2020, an Mw 6.0 earthquake occurred in Jiashi, Xinjiang Uygur Autonomous Region of China. The epicenter was located at the basin-mountain boundary between the southern Tian Shan and the Tarim Basin. Interferometric Synthetic Aperture Radar (InSAR) is used to obtain the coseismic deformation field from both ascending and descending Sentinel-1A satellite images of the European Space Agency. The results showed that the coseismic deformation is distributed between the Kalping fault and the Ozgertaou fault. The earthquake produced significant deformation over an area of approximately 40 km by 30 km. The maximum and minimal displacements along the line of sight (LOS) are 5.3 cm and − 4.2 cm for the ascending interferogram and are 7.2 cm and − 3.0 cm for the descending interferogram, respectively. The fault geometry from the Multi peak Particle Swarm Optimization computation indicates that the seismogenic fault is a shallow low-dipping planar fault that is 4.58 km depth underground. The finite slip model inverted by the Steepest Descent Method implies that the rupture is dominated by a thrust fault. The slips are concentrated in a depth of 5–7 km with a maximum slip of 0.29 m. The estimated total seismic moment is 1.688 × 1018 Nm, corresponding to a magnitude of Mw 6.1. The seismogenic fault is the Kalping fault which has a listric structure. The coseismic deformation only occurred on the décollement layer and did not involve the ramp segment. The coseismic Coulomb stress changes have enhanced the stress on the deep margin of the Jiashi earthquake rupture area, indicating that there is still the possibility of strong earthquakes in this region in the future.[graphic not available: see fulltext]
引用
收藏
相关论文
共 50 条
  • [31] Time-Series Analysis of Subsidence in Nanning, China, Based on Sentinel-1A Data by the SBAS InSAR Method
    Bing Li
    Zemin Wang
    Jiachun An
    Chunxia Zhou
    Yuanyuan Ma
    PFG – Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 2020, 88 : 291 - 304
  • [32] 2.5-D Surface Deformation due to the 24 January 2020 Elazig, Turkey Earthquake Estimated by Multiple Sentinel-1 InSAR Data
    Panuntun, Hidayat
    2021 7TH ASIA-PACIFIC CONFERENCE ON SYNTHETIC APERTURE RADAR (APSAR), 2021,
  • [33] Source Characteristics of the 2020 Mw 7.4 Oaxaca, Mexico, Earthquake Estimated from GPS, InSAR, and Teleseismic Waveforms
    Wen, Yangmao
    Xiao, Zhuohui
    He, Ping
    Zang, Jianfei
    Liu, Yang
    Xu, Caijun
    SEISMOLOGICAL RESEARCH LETTERS, 2021, 92 (03) : 1900 - 1912
  • [34] An Improved Source Model of the 2021 Mw 6.1 Yangbi Earthquake (Southwest China) Based on InSAR and BOI Datasets
    Lu, Hao
    Feng, Guangcai
    He, Lijia
    Liu, Jihong
    Gao, Hua
    Wang, Yuedong
    Wu, Xiongxiao
    Wang, Yuexin
    An, Qi
    Zhao, Yingang
    REMOTE SENSING, 2022, 14 (19)
  • [35] Ground Deformation and Source Fault Model of the Mw 5.7 Xegar (Tibetan Plateau) 2020 Earthquake, Based on InSAR Observation
    Li, Chengtao
    Li, Qi
    Tan, Kai
    Huang, Yong
    Lu, Xiaofei
    PURE AND APPLIED GEOPHYSICS, 2022, 179 (10) : 3589 - 3603
  • [36] Ground Deformation and Source Fault Model of the Mw 5.7 Xegar (Tibetan Plateau) 2020 Earthquake, Based on InSAR Observation
    Chengtao Li
    Qi Li
    Kai Tan
    Yong Huang
    Xiaofei Lu
    Pure and Applied Geophysics, 2022, 179 : 3589 - 3603
  • [37] Ground Deformation and Its Causes in Abbottabad City, Pakistan from Sentinel-1A Data and MT-InSAR
    Shahzad, Naeem
    Ding, Xiaoli
    Wu, Songbo
    Liang, Hongyu
    REMOTE SENSING, 2020, 12 (20) : 1 - 18
  • [38] Surface Subsidence Characteristics and Causes in Beijing (China) before and after COVID-19 by Sentinel-1A TS-InSAR
    Sheng, Haiquan
    Zhou, Lv
    Huang, Changjun
    Ma, Shubian
    Xian, Lingxiao
    Chen, Yukai
    Yang, Fei
    REMOTE SENSING, 2023, 15 (05)
  • [39] Geodetic Model of the 2017 Mw 6.5 Mainling Earthquake Inferred from GPS and InSAR Data
    Jian, Huizi
    Wang, Lifeng
    Gan, Weijun
    Zhang, Keliang
    Li, Yanchuan
    Liang, Shiming
    Liu, Yunhua
    Gong, Wenyu
    Yin, Xinzhong
    REMOTE SENSING, 2019, 11 (24)
  • [40] Surface Subsidence over a Coastal City Using SBAS-InSAR with Sentinel-1A Data: A Case of Nansha District, China
    Yu, Huanghao
    Li, Binquan
    Xiao, Yang
    Sun, Jinyan
    Chen, Cheng
    Jin, Gaoyang
    Liu, Huanyu
    REMOTE SENSING, 2024, 16 (01)