Paper
10 February 2023 Stress and seismogenic faulting analysis of the earthquake of May 22, 2021 on Maduo, Qinghai studied through D-InSAR measurements
Xu Zhang, Kanglin Cong
Author Affiliations +
Proceedings Volume 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022); 1255214 (2023) https://doi.org/10.1117/12.2667405
Event: International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 2022, Kunming, China
Abstract
For Magnitude 7.4 large-scale earthquake that occurred in Maduo County, Guoluo Prefecture, Qinghai Province in 2021, two Sentinel-1a images were used for orbit descent, one Sentinel-1a image and one Sentinel-1b image were spliced and cut, and D-InSAR technology was used for analysis. Despite extensive research into this earthquake, understanding its causes was biased due to its low coherence characteristics. In this study, we derived seismic LOS direction interferograms and coherence maps from Sentinel-1A/B data. The interferogram shows that the fault has multiple asperities and the deformation is larger as it is closer to the epicenter. According to the distribution map of the fault zone, it is concluded that the seismogenic fault is the fault zone of the southern margin of Gande. The stress analysis of the plate where the earthquake is located shows that the probability of earthquakes in the south of the Bayan Har block where the earthquake is located will increase in the future.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xu Zhang and Kanglin Cong "Stress and seismogenic faulting analysis of the earthquake of May 22, 2021 on Maduo, Qinghai studied through D-InSAR measurements", Proc. SPIE 12552, International Conference on Geographic Information and Remote Sensing Technology (GIRST 2022), 1255214 (10 February 2023); https://doi.org/10.1117/12.2667405
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KEYWORDS
Earthquakes

Deformation

Interferograms

Phase interferometry

Data modeling

Data processing

Radar

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