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<p>The Yangbi earthquake generated a certain number of creep bodies, which may evolve into creep geological disasters under the influence of disaster-inducing factors. Identifying and monitoring these creep bodies is of significant importance for geological disaster warning. This paper utilizes time-series InSAR technology to conduct post-earthquake creep body identification and monitoring from an overall to local perspective. In the global deformation identification phase, 18 creep bodies with significant deformation were identified using SBAS-InSAR technology based on HyP3 data. Subsequently, three creep bodies were selected for local deformation monitoring and analysis using Level 1 Sentinel-1 data. (1) Post-earthquake creep bodies were primarily distributed in areas of high seismic intensity, including 11 near the epicenter and 4 along the Hangrui Expressway. (2) The earthquake caused accelerated subsidence of creep bodies near residential areas in Zhangzi Village, Taiping Township, and Majiadian. Post-seismic rainfall infiltration during the wet season and aftershock perturbations may serve as important external triggers that initiate or amplify accelerated deformation of the creep bodies and increase their instability risk. (3) The process of identifying and monitoring creep bodies from overall to local using combined online SAR data and Level 1 Sentinel-1 data can effectively enhance the efficiency and accuracy of creep body identification.</p>

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Identification and deformation monitoring of post-earthquake creep bodies after Ms 6.4 Yangbi earthquake

  • 期刊论文

  • 发表日期：

    2026年3月25日

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  • Ping Duan,
  • Xuehao Yu,
  • Haoran Liu,
  • Juntang Nie,
  • Zhike Zhang,
  • Jia Li

摘要

The Yangbi earthquake generated a certain number of creep bodies, which may evolve into creep geological disasters under the influence of disaster-inducing factors. Identifying and monitoring these creep bodies is of significant importance for geological disaster warning. This paper utilizes time-series InSAR technology to conduct post-earthquake creep body identification and monitoring from an overall to local perspective. In the global deformation identification phase, 18 creep bodies with significant deformation were identified using SBAS-InSAR technology based on HyP3 data. Subsequently, three creep bodies were selected for local deformation monitoring and analysis using Level 1 Sentinel-1 data. (1) Post-earthquake creep bodies were primarily distributed in areas of high seismic intensity, including 11 near the epicenter and 4 along the Hangrui Expressway. (2) The earthquake caused accelerated subsidence of creep bodies near residential areas in Zhangzi Village, Taiping Township, and Majiadian. Post-seismic rainfall infiltration during the wet season and aftershock perturbations may serve as important external triggers that initiate or amplify accelerated deformation of the creep bodies and increase their instability risk. (3) The process of identifying and monitoring creep bodies from overall to local using combined online SAR data and Level 1 Sentinel-1 data can effectively enhance the efficiency and accuracy of creep body identification.