3D Displacement Field of Wenchuan Earthquake Based on Iterative Least Squares for Virtual Observation and GPS/InSAR Observations

被引:10
|
作者
Xiong, Luyun [1 ]
Xu, Caijun [1 ,2 ,3 ]
Liu, Yang [1 ,2 ,3 ]
Wen, Yangmao [1 ,2 ,3 ]
Fang, Jin [1 ]
机构
[1] Wuhan Univ, Sch Geodesy & Geomat, Wuhan 430079, Peoples R China
[2] Wuhan Univ, Key Lab Geospace Environm & Geodesy, Minist Educ, Wuhan 430079, Peoples R China
[3] Minist Nat Resources, Key Lab Geophys Geodesy, Wuhan 430079, Peoples R China
基金
中国国家自然科学基金;
关键词
Wenchuan earthquake; 3D displacement field; iterative least squares for virtual observation; GPS; InSAR; SURFACE MOTION MAPS; PARKFIELD EARTHQUAKE; SLIP DISTRIBUTION; SOURCE PARAMETERS; MT; ETNA; DEFORMATION; INSAR; GPS; DERIVATION; INVERSION;
D O I
10.3390/rs12060977
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The acquisition of a 3D displacement field can help to understand the crustal deformation pattern of seismogenic faults and deepen the understanding of the earthquake nucleation. The data for 3D displacement field extraction are usually from GPS/interferometric synthetic aperture radar (InSAR) observations, and the direct solution method is usually adopted. We proposed an iterative least squares for virtual observation (VOILS) based on the maximum a posteriori estimation criterion of Bayesian theorem to correct the errors caused by the GPS displacement interpolation process. Firstly, in the simulation examples, both uniform and non-uniform sampling schemes for GPS observation were used to extract 3D displacement. On the basis of the experimental results of the reverse fault, the normal fault with a strike-slip component, and the strike-slip fault with a reverse component, we found that the VOILS method is better than the direct solution method in both horizontal and vertical directions. When a uniform sampling scheme was adopted, the percentages of improvement for the reverse fault ranged from 3% to 9% and up to 70%, for the normal fault with a strike-slip component ranging from 4% to 8% and up to 68%, and for the strike-slip fault with a reverse component ranging from 1% to 8% and up to 22%. After this, the VOILS method was applied to extract the 3D displacement field of the 2008 Mw 7.9 Wenchuan earthquake. In the East-West (E) direction, the maximum displacement of the hanging wall was 1.69 m and 2.15 m in the footwall. As for the North-South (N) direction, the maximum displacement of the hanging wall was 0.82 m for the southwestern, 0.95 m for the northeastern, while that of the footwall was 0.77 m. In the vertical (U) direction, the maximum uplift was 1.19 m and 0.95 m for the subsidence, which was significantly different from the direct solution method. Finally, the derived vertical displacements were also compared with the ruptures from field investigations, indicating that the VOILS method can reduce the impact of the interpolated errors on parameter estimations to some extent. The simulation experiments and the case study of the 3D displacement field for the 2008 Wenchuan earthquake suggest that the VOILS method proposed in this study is feasible and effective, and the degree of improvement in the vertical direction is particularly significant.
引用
收藏
页数:17
相关论文
共 23 条
  • [1] Deriving 3D coseismic deformation field by combining GPS and InSAR data based on the elastic dislocation model
    Song, Xiaogang
    Jiang, Yu
    Shan, Xinjian
    Qu, Chunyan
    INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2017, 57 : 104 - 112
  • [2] 3D displacement field retrieved by integrating Sentinel-1 InSAR and GPS data: the 2014 South Napa earthquake
    Polcari, Marco
    Palano, Mimmo
    Fernandez, Jose
    Samsonov, Sergey V.
    Stramondo, Salvatore
    Zerbini, Susanna
    EUROPEAN JOURNAL OF REMOTE SENSING, 2016, 49 : 1 - 13
  • [3] 3D Coseismic Deformation inversion of Wenchuan Ms8.0 Earthquake with D-InSAR and the Fault Movement Model
    Chen, Y. L.
    Wu, J. C.
    Guo, L. Y.
    Wang, X. Y.
    Tan, H. B.
    Shen, C. Y.
    REMOTE SENSING OF THE ENVIRONMENT, 2015, 9669
  • [4] InSAR 3-D Coseismic Displacement Field of the 2015 Mw 7.8 Nepal Earthquake: Insights into Complex Fault Kinematics during the Event
    Qu, Chunyan
    Qiao, Xin
    Shan, Xinjian
    Zhao, Dezheng
    Zhao, Lei
    Gong, Wenyu
    Li, Yanchuan
    REMOTE SENSING, 2020, 12 (23) : 1 - 20
  • [5] Derivation of 3D Coseismic Displacement Field from Integrated Azimuth and LOS Displacements for the 2018 Hualien Earthquake
    Lin, Li-Chieh J.
    Chuang, Ray Y.
    Lu, Chih-Heng
    Ching, Kuo-En
    Chen, Chien-Liang
    REMOTE SENSING, 2024, 16 (07)
  • [6] InSARTrac Field Tests-Combining Computer Vision and Terrestrial InSAR for 3D Displacement Monitoring
    Zambanini, Christoph
    Reinprecht, Volker
    Kieffer, Daniel Scott
    REMOTE SENSING, 2023, 15 (08)
  • [7] 3D Coseismic Deformation of Wenchuan Ms8.0 Earthquake with D-InSAR Technology and the Thrust Fault Movement Model
    Guo, Linying
    Wu, Jicang
    2014 THIRD INTERNATIONAL WORKSHOP ON EARTH OBSERVATION AND REMOTE SENSING APPLICATIONS (EORSA 2014), 2014,
  • [8] Deriving 3D Coseismic Deformation Field of 2017 Jiuzhaigou Earthquake with Elastic Dislocation Model and InSAR Data
    Peng Y.
    Xu C.
    Liu Y.
    Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University, 2022, 47 (11): : 1896 - 1905and1937
  • [9] An integrated method based on DInSAR, MAI and displacement gradient tensor for mapping the 3D coseismic deformation field related to the 2011 Tarlay earthquake (Myanmar)
    Wang, Xiaowen
    Liu, Guoxiang
    Yu, Bing
    Dai, Keren
    Zhang, Rui
    Ma, Deying
    Li, Zhilin
    REMOTE SENSING OF ENVIRONMENT, 2015, 170 : 388 - 404
  • [10] 3D displacement maps of the 2009 L'Aquila earthquake (Italy) by applying the SISTEM method to GPS and DInSAR data
    Guglielmino, Francesco
    Anzidei, Marco
    Briole, Pierre
    Elias, Panagiotis
    Puglisi, Giuseppe
    TERRA NOVA, 2013, 25 (01) : 79 - 85