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EARTHQUAKE ›› 2024, Vol. 44 ›› Issue (4): 194-208.doi: 10.12196/j.issn.1000-3274.2024.04.013

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Using PS-InSAR Technology to Analyze the Characteristics and Causes of Urban Subsidence in Yucheng District Ya’an, Sichuan

LI Ya-nan1, DOU Ai-xia1, GUO Hong-mei2, CUI Zi-ang3   

  1. 1. Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China;
    2. Sichuan Earthquake Administration, Chengdu 610004, China;
    3. Shandong University of Science and Technology, Qingdao 266590, China
  • Received:2024-04-11 Revised:2024-07-09 Online:2024-10-31 Published:2024-12-16

Abstract: To clarify the temporal changes in ground deformation and their causes in the Yucheng District of Ya’an City, this study used 36 scenes of Sentinel-1A satellite data from January 2019 to December 2021 and applied PS-InSAR technology to monitor ground deformation in the Yucheng District of Ya’an City. The accuracy was evaluated using concurrent GNSS observation data. By combining geological structures, precipitation, underground resource extraction, seismic activities, and other factors, the characteristics and mechanisms of deformation in the study area were analyzed. The results showed that the root mean square error (RMSE) between the PS-InSAR monitoring results and the GNSS monitoring results was 3.97 mm. The average deformation rate in the study area ranged from -28.00 to 30.12 mm/a. Under the influence of geological structures, there were significant differences in subsidence rates on both sides of the fault zones, with the maximum difference reaching 25.68 mm/a. Under the same structural control, subsidence rates had a certain relationship with human activities, mineral resource extraction, construction projects, transportation, and dense high-rise buildings all accelerated ground subsidence. Seasonal changes in groundwater levels due to rainfall had seasonal effects on ground subsidence; taking the 2019 precipitation and ground subsidence study as an example, the minimum subsidence in summer, which reached -0.14 mm.

Key words: PS-InSAR, Subsidence monitoring, Yucheng District Ya’an, Causal mechanisms

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