New interpretation of the rupture process of the 2016 Taiwan Meinong Mw 6.4 earthquake based on the InSAR, 1-Hz GPS and strong motion data

被引:5
|
作者
Yang, Ying-Hui [1 ]
Chen, Qiang [2 ]
Diao, Xin [2 ]
Zhao, Jingjing [2 ]
Xu, Lang [2 ]
Hu, Jyr-Ching [3 ]
机构
[1] Chengdu Univ Technol, State Key Lab Geohazard Prevent & Geoenvironm Pro, Chengdu 610059, Sichuan, Peoples R China
[2] Southwest Jiaotong Univ, Dept Remote Sensing & Geoinformat Engn, Chengdu 611756, Sichuan, Peoples R China
[3] Natl Taiwan Univ, Dept Geosci, Taipei 10617, Taiwan
基金
国家重点研发计划;
关键词
2016 Meinong earthquake; InSAR; 1-HZ GPS; Strong motion data; Fault geometry model; Rupture process; FAULT SLIP DISTRIBUTION; 7.1 HECTOR MINE; SURFACE DEFORMATION; GROUND MOTION; INVERSION; DISPLACEMENTS; CALIFORNIA; RECORDINGS; RADAR; MODEL;
D O I
10.1007/s00190-021-01570-0
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
A new interpretation of the 2016 Meinong earthquake is proposed based on the Synthetic Aperture Radar (SAR) satellites, high-rate GPS and strong motion data. The fault geometry is firstly estimated by the Interferometric Synthetic Aperture Radar (InSAR) surface deformation data. Then, the coseismic rupture process is inferred through the 1-Hz GPS and strong motion data based on the estimated fault geometry parameters. The InSAR-derived best-fitting fault geometry model suggests that the preferred fault strike and dip angles are 271.7 degrees and 22.7 degrees, respectively. The inferred fault rupture model indicates that the coseismic fault rupture is a mixed motion of thrust and left-strike slip with the maximum slip of similar to 1.0 m, and the high slip area is located at 9-16 km underground. The snapshots demonstrate that the coseismic fault rupture propagation is along the northwest direction, with the entire duration of similar to 16 s. Besides, the InSAR-derived faulting model reflects that the InSAR observation includes the deformation caused by aseismic slip and aftershock. However, the InSAR-derived fault geometry model can significantly contribute to the estimation of the rupture process based on the high-rate GPS and strong motion data.
引用
收藏
页数:12
相关论文
共 46 条
  • [21] A comprehensive study of the 2016 Mw 6.0 Italy earthquake based on high-rate (10 Hz) GPS data
    Xiang, Yunfei
    Yue, Jianping
    Tang, Kai
    Li, Zhen
    ADVANCES IN SPACE RESEARCH, 2019, 63 (01) : 103 - 117
  • [22] Complex Rupture Features and Triggering during the 2022 Chishang Earthquake Sequence in Eastern Taiwan Estimated by InSAR, GPS, Strong Motion, and Teleseismic Waveform Evidence
    He, Ping
    Liu, Chengli
    Wen, Yangmao
    Ding, Kaihua
    SEISMOLOGICAL RESEARCH LETTERS, 2024, 95 (04) : 2092 - 2104
  • [23] Source rupture process of the 2016 Kaikoura, New Zealand earthquake estimated from the kinematic waveform inversion of strong-motion data
    Zheng, Ao
    Wang, Mingfeng
    Yu, Xiangwei
    Zhang, Wenbo
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2018, 212 (03) : 1736 - 1746
  • [24] Rupture Process of the 23 October 2011 Mw7.1 Van Earthquake in Eastern Turkey by Joint Inversion of Teleseismic, GPS and Strong-Motion Data
    Chengli Liu
    Yong Zheng
    Xiong Xiong
    Rongjiang Wang
    Pure and Applied Geophysics, 2015, 172 : 1383 - 1396
  • [25] Rupture Process of the 23 October 2011 Mw7.1 Van Earthquake in Eastern Turkey by Joint Inversion of Teleseismic, GPS and Strong-Motion Data
    Liu, Chengli
    Zheng, Yong
    Xiong, Xiong
    Wang, Rongjiang
    PURE AND APPLIED GEOPHYSICS, 2015, 172 (06) : 1383 - 1396
  • [26] Ability of 1-Hz GPS data to infer the source process of a medium-sized earthquake: The case of the 2008 Iwate-Miyagi Nairiku, Japan, earthquake
    Yokota, Yusuke
    Koketsu, Kazuki
    Hikima, Kazuhito
    Miyazaki, Shin'ichi
    GEOPHYSICAL RESEARCH LETTERS, 2009, 36
  • [27] Rupture process of 2011 Mw7.1 Van, Eastern Turkey earthquake from joint inversion of strong-motion, high-rate GPS, teleseismic, and GPS data
    Konca, A. Ozgun
    JOURNAL OF SEISMOLOGY, 2015, 19 (04) : 969 - 988
  • [28] Rupture process of 2011 Mw7.1 Van, Eastern Turkey earthquake from joint inversion of strong-motion, high-rate GPS, teleseismic, and GPS data
    A. Ozgun Konca
    Journal of Seismology, 2015, 19 : 969 - 988
  • [29] Source Model of the 2016 Kumamoto, Japan, Earthquake Constrained by InSAR, GPS, and Strong-Motion Data: Fault Slip under Extensional Stress
    Zhang, Yingfeng
    Shan, Xinjian
    Zhang, Guohong
    Gong, Wenyu
    Liu, Xiaodong
    Yin, Hao
    Zhao, Dezheng
    Wen, Shaoyan
    Qu, Chunyan
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2018, 108 (5A) : 2675 - 2686
  • [30] Source-Rupture Process of the 2007 Noto Hanto, Japan, Earthquake Estimated by the Joint Inversion of Strong Motion and GPS Data
    Asano, Kimiyuki
    Iwata, Tomotaka
    BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2011, 101 (05) : 2467 - 2480