A Bayesian Source Model for the 2022 Mw6.6 Luding Earthquake, Sichuan Province, China, Constrained by GPS and InSAR Observations

被引:0
|
作者
Xu, Guangyu [1 ,2 ]
Xu, Xiwei [3 ]
Yi, Yaning [1 ]
Wen, Yangmao [4 ]
Sun, Longxiang [4 ]
Wang, Qixin [1 ]
Lei, Xiaoqiong [1 ]
机构
[1] Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China
[2] East China Univ Technol, Sch Surveying & Geoinformat Engn, Nanchang 330013, Peoples R China
[3] China Univ Geosci Beijing, Sch Earth Sci & Resources, Beijing 100083, Peoples R China
[4] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
Luding earthquake; InSAR; Bayesian inversion; strike-slip fault; coseismic slip distribution; SURFACE DEFORMATION; M(S)6.8 EARTHQUAKE; DISPLACEMENT FIELD; SOURCE PARAMETERS; HECTOR MINE; CALIFORNIA; SEQUENCE;
D O I
10.3390/rs16010103
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Until the Mw 6.6 Luding earthquake ruptured the Moxi section of the Xianshuihe fault (XSHF) on 5 September 2022, the region had not experienced an Mw >6 earthquake since instrumental records began. We used Global Positioning System (GPS) and Sentinel-1 interferometric synthetic aperture radar (InSAR) observations to image the coseismic deformation and constrain the location and geometry of the seismogenic fault using a Bayesian method We then present a distributed slip model of the 2022 Mw6.6 Luding earthquake, a left-lateral strike-slip earthquake that occurred on the Moxi section of the Xianshuihe fault in the southwest Sichuan basin, China. Two tracks (T26 and T135) of the InSAR data captured a part of the coseismic surface deformation with the line-of-sight displacements range from similar to-0.16 m to similar to 0.14 m in the ascending track and from similar to-0.12 m to similar to 0.10 m in the descending track. The inverted best-fitting fault model shows a pure sinistral strike-slip motion on a west-dipping fault plane with a strike of 164.3 degrees. We adopt a variational Bayesian approach and account for the uncertainties in the fault geometry to retrieve the distributed slip model. The inverted result shows that the maximum slip of similar to 1.82 m occurred at a depth of 5.3 km, with the major slip concentrated within depths ranging from 0.9-11 km. The InSAR-determined moment is 1.3 x 10(19) Nm, with a shear modulus of 30 GPa, equivalent to Mw 6.7. The published coseismic slip models of the 2022 Luding earthquake show apparent differences despite the use of similar geodetic or seismic observations. These variations underscore the uncertainty associated with routinely performed source inversions and their interpretations for the underlying fault model.
引用
收藏
页数:21
相关论文
共 50 条
  • [1] TheSeismogenicStructureandDeformationMechanismoftheLushan(MW6.6)Earthquake,Sichuan,China
    ZHOU Rongjun
    LI Yong
    SHAO Chongjian
    SU Jinrong
    YAN Zhaokun
    YAN Liang
    [J]. Acta Geologica Sinica(English Edition)., 2016, 90 (02) - 510
  • [2] Coseismic Deformation and Slip Distribution of the 2022 Luding Mw 6.6 Earthquake Revealed by InSAR Observations
    Han, Bingquan
    Liu, Zhenjiang
    Chen, Bo
    Li, Zhenhong
    Yu, Chen
    Zhang, Yong
    Peng, Jianbing
    [J]. Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2023, 48 (01): : 36 - 46
  • [3] InSAR coseismic deformation monitoring and source characteristics of the 2022 Qinghai Menyuan MW6.6 earthquake
    Zheng Rui
    Wang Qi
    Zou Rong
    Wang JunXiang
    [J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2023, 66 (08): : 3218 - 3229
  • [4] GPS constrained coseismic source and slip distribution of the 2013 Mw6.6 Lushan, China, earthquake and its tectonic implications
    Jiang, Zaisen
    Wang, Min
    Wang, Yanzhao
    Wu, Yanqiang
    Che, Shi
    Shen, Zheng-Kang
    Buergmann, Roland
    Sun, Jianbao
    Yang, Yonglin
    Liao, Hua
    Li, Qiang
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2014, 41 (02) : 407 - 413
  • [5] Rupture Process of the 2022 Mw6.6 Menyuan, China, Earthquake from Joint Inversion of Accelerogram Data and InSAR Measurements
    Huang, Chuanchao
    Zhang, Guohong
    Zhao, Dezheng
    Shan, Xinjian
    Xie, Chaodi
    Tu, Hongwei
    Qu, Chunyan
    Zhu, Chuanhua
    Han, Nana
    Chen, Junxian
    [J]. REMOTE SENSING, 2022, 14 (20)
  • [6] Improved Coseismic Slip Model of Menyuan MW 6.6 Earthquake, Qinghai Province in 2022 Derived from Gnss and Insar Observations
    Su, Xiaoning
    Bao, Qinghua
    Zhao, Lijiang
    Xiong, Renwei
    Shi, Ruijuan
    Zhang, Jingzhong
    [J]. SSRN, 2023,
  • [7] Source model of 2016 Mw6.6 Aketao earthquake, Xinjiang derived from Sentinel-1 InSAR observation
    Ma, Yun
    Qiao, Xuejun
    Chen, Wei
    Zhou, Yiyan
    [J]. GEODESY AND GEODYNAMICS, 2018, 9 (05) : 372 - 377
  • [8] Source model of 2016 Mw6.6 Aketao earthquake,Xinjiang derived from Sentinel-1 InSAR observation
    Yun Ma
    Xuejun Qiao
    Wei Chen
    Yiyan Zhou
    [J]. Geodesy and Geodynamics, 2018, 9 (05) : 372 - 377
  • [9] Simulation of the 2022 Mw 6.6 Luding, China, earthquake by a stochastic finite-fault model with a nonstationary phase
    Dang, Pengfei
    Cui, Jie
    Ma, Wanjun
    Li, Yadong
    [J]. SOIL DYNAMICS AND EARTHQUAKE ENGINEERING, 2023, 172
  • [10] Influence of source uncertainty on stochastic ground motion simulation: a case study of the 2022 Mw 6.6 Luding, China, earthquake
    Pengfei Dang
    Jie Cui
    Qifang Liu
    Yadong Li
    [J]. Stochastic Environmental Research and Risk Assessment, 2023, 37 : 2943 - 2960