Coseismic Deformation Field and Fault Slip Distribution Inversion of the 2020 Jiashi <i>Ms</i> 6.4 Earthquake: Considering the Atmospheric Effect with Sentinel-1 Data Interferometry
Due to some limitations associated with the atmospheric residual phase in Sentinel-1 data interferometry during the Jiashi earthquake, the detailed spatial distribution of the line-of-sight (LOS) surface deformation field is still not fully understood. This study, therefore, proposes an inversion me...
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| Format: | Article |
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MDPI AG
2023-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/6/3046 |
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| author | Xuedong Zhang Jiaojie Li Xianglei Liu Ziqi Li Nilufar Adil |
| author_facet | Xuedong Zhang Jiaojie Li Xianglei Liu Ziqi Li Nilufar Adil |
| author_sort | Xuedong Zhang |
| collection | DOAJ |
| description | Due to some limitations associated with the atmospheric residual phase in Sentinel-1 data interferometry during the Jiashi earthquake, the detailed spatial distribution of the line-of-sight (LOS) surface deformation field is still not fully understood. This study, therefore, proposes an inversion method of coseismic deformation field and fault slip distribution, taking atmospheric effect into account to address this issue. First, an improved inverse distance weighted (IDW) interpolation tropospheric decomposition model is utilised to accurately estimate the turbulence component in tropospheric delay. Using the joint constraints of the corrected deformation fields, the geometric parameters of the seismogenic fault and the distribution of coseismic slip are then inverted. The findings show that the coseismic deformation field (long axis strike was nearly east–west) was distributed along the Kalpingtag fault and the Ozgertaou fault, and the earthquake was found to occur in the low dip thrust nappe structural belt at the subduction interface of the block. Correspondingly, the slip model further revealed that the slips were concentrated at depths between 10 and 20 km, with a maximum slip of 0.34 m. Accordingly, the seismic magnitude of the earthquake was estimated to be <i>Ms</i> 6.06. Considering the geological structure in the earthquake region and the fault source parameters, we infer that the Kepingtag reverse fault is responsible for the earthquake, and the improved IDW interpolation tropospheric decomposition model can perform atmospheric correction more effectively, which is also beneficial for the source parameter inversion of the Jiashi earthquake. |
| first_indexed | 2024-03-11T05:56:01Z |
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| id | doaj.art-292314179f904ef6995e0cbba6f761f3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T05:56:01Z |
| publishDate | 2023-03-01 |
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| spelling | doaj.art-292314179f904ef6995e0cbba6f761f32023-11-17T13:45:11ZengMDPI AGSensors1424-82202023-03-01236304610.3390/s23063046Coseismic Deformation Field and Fault Slip Distribution Inversion of the 2020 Jiashi <i>Ms</i> 6.4 Earthquake: Considering the Atmospheric Effect with Sentinel-1 Data InterferometryXuedong Zhang0Jiaojie Li1Xianglei Liu2Ziqi Li3Nilufar Adil4School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaSchool of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaDue to some limitations associated with the atmospheric residual phase in Sentinel-1 data interferometry during the Jiashi earthquake, the detailed spatial distribution of the line-of-sight (LOS) surface deformation field is still not fully understood. This study, therefore, proposes an inversion method of coseismic deformation field and fault slip distribution, taking atmospheric effect into account to address this issue. First, an improved inverse distance weighted (IDW) interpolation tropospheric decomposition model is utilised to accurately estimate the turbulence component in tropospheric delay. Using the joint constraints of the corrected deformation fields, the geometric parameters of the seismogenic fault and the distribution of coseismic slip are then inverted. The findings show that the coseismic deformation field (long axis strike was nearly east–west) was distributed along the Kalpingtag fault and the Ozgertaou fault, and the earthquake was found to occur in the low dip thrust nappe structural belt at the subduction interface of the block. Correspondingly, the slip model further revealed that the slips were concentrated at depths between 10 and 20 km, with a maximum slip of 0.34 m. Accordingly, the seismic magnitude of the earthquake was estimated to be <i>Ms</i> 6.06. Considering the geological structure in the earthquake region and the fault source parameters, we infer that the Kepingtag reverse fault is responsible for the earthquake, and the improved IDW interpolation tropospheric decomposition model can perform atmospheric correction more effectively, which is also beneficial for the source parameter inversion of the Jiashi earthquake.https://www.mdpi.com/1424-8220/23/6/3046Jiashi earthquakeatmospheric effectDInSARcoseismic deformationslip distributioninversion |
| spellingShingle | Xuedong Zhang Jiaojie Li Xianglei Liu Ziqi Li Nilufar Adil Coseismic Deformation Field and Fault Slip Distribution Inversion of the 2020 Jiashi <i>Ms</i> 6.4 Earthquake: Considering the Atmospheric Effect with Sentinel-1 Data Interferometry Sensors Jiashi earthquake atmospheric effect DInSAR coseismic deformation slip distribution inversion |
| title | Coseismic Deformation Field and Fault Slip Distribution Inversion of the 2020 Jiashi <i>Ms</i> 6.4 Earthquake: Considering the Atmospheric Effect with Sentinel-1 Data Interferometry |
| title_full | Coseismic Deformation Field and Fault Slip Distribution Inversion of the 2020 Jiashi <i>Ms</i> 6.4 Earthquake: Considering the Atmospheric Effect with Sentinel-1 Data Interferometry |
| title_fullStr | Coseismic Deformation Field and Fault Slip Distribution Inversion of the 2020 Jiashi <i>Ms</i> 6.4 Earthquake: Considering the Atmospheric Effect with Sentinel-1 Data Interferometry |
| title_full_unstemmed | Coseismic Deformation Field and Fault Slip Distribution Inversion of the 2020 Jiashi <i>Ms</i> 6.4 Earthquake: Considering the Atmospheric Effect with Sentinel-1 Data Interferometry |
| title_short | Coseismic Deformation Field and Fault Slip Distribution Inversion of the 2020 Jiashi <i>Ms</i> 6.4 Earthquake: Considering the Atmospheric Effect with Sentinel-1 Data Interferometry |
| title_sort | coseismic deformation field and fault slip distribution inversion of the 2020 jiashi i ms i 6 4 earthquake considering the atmospheric effect with sentinel 1 data interferometry |
| topic | Jiashi earthquake atmospheric effect DInSAR coseismic deformation slip distribution inversion |
| url | https://www.mdpi.com/1424-8220/23/6/3046 |
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