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Volume 36 Issue 4
Aug 2025
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Journal of Earth Science  > 2025  >  36(4): 1605-1622.
Jie Dou, Ke Xing, Lizhe Wang, Haixiang Guo, Dun Wang, Yigui Peng, Xinjian Xiang, Dunzhu Ciren, Songcheng Zhang, Lele Zhang, Bo Peng. Air-Space-Ground Synergistic Observations for Rapid Post-Seismic Disaster Assessment of 2025 Ms6.8 Xigazê Earthquake, Xizang. Journal of Earth Science, 2025, 36(4): 1605-1622. doi: 10.1007/s12583-025-0160-2
Citation: Jie Dou, Ke Xing, Lizhe Wang, Haixiang Guo, Dun Wang, Yigui Peng, Xinjian Xiang, Dunzhu Ciren, Songcheng Zhang, Lele Zhang, Bo Peng. Air-Space-Ground Synergistic Observations for Rapid Post-Seismic Disaster Assessment of 2025 Ms6.8 Xigazê Earthquake, Xizang. Journal of Earth Science, 2025, 36(4): 1605-1622. doi: 10.1007/s12583-025-0160-2
shu

Air-Space-Ground Synergistic Observations for Rapid Post-Seismic Disaster Assessment of 2025 Ms6.8 Xigazê Earthquake, Xizang

doi: 10.1007/s12583-025-0160-2
  • 1.

    Badong National Observation and Research Station of Geohazards, China University of Geosciences (Wuhan), Wuhan 430074, China

  • 2.

    National Engineering Research Center of Geographic Information System, China University of Geosciences (Wuhan), Wuhan 430074, China

  • 3.

    Key Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences (Wuhan), Wuhan 430074, China

  • 4.

    School of Computer Science, China University of Geosciences (Wuhan), Wuhan 430078, China

  • 5.

    School of Economics and Management, China University of Geosciences (Wuhan), Wuhan 430078, China

  • 6.

    School of Earth Sciences, China University of Geosciences (Wuhan), Wuhan 430074, China

  • 7.

    Xizang Autonomous Region Water Conservancy and Electric Power Planning, Survey and Design Institute, Lhasa 850010, China

More Information
  • Corresponding author: Lizhe Wan, lizhe.wang@foxmail.com
  • Received Date: 20 Jan 2025
  • Accepted Date: 28 Jan 2025
  • Issue Publish Date: 30 Aug 2025
    Abstract

  • On January 7, 2025, an Ms6.8 earthquake struck Dingri County, Xigazê City, in the Xizang Autonomous Region. The epicenter, located near the Shenzha-Dingjie fault zone at the boundary between the Qinghai-Xizang Plateau and the Indian Plate, marked the largest earthquake in the region in recent years. The Shenzha-Dingjie fault zone, situated at the boundary between the Qinghai-Xizang Plateau and the Indian Plate, is a key tectonic feature in the India-Eurasia collision process, exhibiting both thrust and strike-slip faulting. This study analyzed the disaster characteristics induced by the earthquake using Differential Synthetic Aperture Radar Interferometry (D-InSAR) to process Sentinel-1 satellite data and derive pre- and post-earthquake surface deformation information. Additionally, high-resolution optical remote sensing data, UAV (unmanned aerial vehicle) imagery, and airborne LiDAR (light detection and ranging) data were employed to analyze the spatial distribution of the surface rupture zone, with field investigations validating the findings. Key results include: (1) Field verification confirmed that potential landslide hazard points identified via optical image interpretation did not exhibit secondary landslide activity; (2) D-InSAR revealed the co-seismic surface deformation pattern, providing detailed deformation information for the Dingri region; (3) Integration of LiDAR and optical imagery further refined and validated surface rupture characteristics identified by optical-InSAR, indicating a predominantly north-south rupture zone. Additionally, surface fracture features extending in a near east-west direction were observed on the southeast side of the epicenter, accompanied by some infrastructure damage; (4) Surface fracture was most severe in high-intensity seismic areas near the epicenter, with the maximum surface displacement approximately 28 km from the epicenter. The earthquake-induced surface deformation zone spanned approximately 6 km by 46 km, with deformation concentrated primarily on the western side of the Dingmucuo Fault, where maximum subsidence of 0.65 m was detected. On the eastern side, uplift was dominant, reaching a maximum of 0.75 m. This earthquake poses significant threats to local communities and infrastructure, underscoring the urgent need for continued monitoring in affected areas. The findings highlight the effectiveness of multi-source data fusion (space-air-ground based observation) in seismic disaster assessment, offering a methodological framework for rapid post-earthquake disaster response. providing a valuable scientific foundation for mitigating secondary disasters in the region.

     

    • Conflict of Interest
    The authors declare that they have no conflict of interest.
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