Identification and hazard analysis of landslides triggered by earthquakes and rainfallOA
This study aims to utilize the Small Baseline Subset Interferometric Synthetic Aperture Radar(SBAS-In SAR)technique and Google Earth optical remote sensing images to analyze the area within 20 km around the epicenter of a M 3.9, earthquake that occurred in Tanchang County, Gansu Province, on December 28, 2020. The objective is to identify potential earthquake-induced landslides, assess their scale, and determine their impact range. The study results reveal the successful identification of two potential landslides in the 20 km radius around the epicenter. Through time-series deformation analysis, it was observed that these potential landslides were significantly influenced by both the earthquake and rainfall. Further estimation of these potential landslides indicates maximum depths of 7.4 m and 14.1 m for the failure surfaces, with volumes of 9.02 × 10~4m~3and 25.5 ×10~4m~3, respectively. Finally, based on the simulation analysis of Massflow software, the maximum thickness of soil accumulation in the final accumulation area after sliding of the potential landslide in Shangyaai is 12 m, the area of the final accumulation area is 1.75 × 10~4m~2, and the farthest movement distance is 1124 m. The maximum thickness of soil accumulation in the final accumulation area after sliding of the potential landslide in Wangshancun is 8 m, the area of the final accumulation area is 7.89 × 10~4m~2, and the farthest movement distance is 742 m.
Lei Li;Yu Zhang;Yunlong Hou;Bingbing Han;Ning An;Hui Zhang;Ying Ma;
School of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou,730070,China Key Laboratory of Railway Industry on Plateau Railway Transportation Intelligent Management and Control,Lanzhou Jiaotong University,Lanzhou,730070,ChinaGansu Institute of Engineering Geology,Lanzhou,730030,ChinaSchool of Civil Engineering,Lanzhou Jiaotong University,Lanzhou,730070,ChinaSchool of Traffic and Transportation,Lanzhou Jiaotong University,Lanzhou,730070,China
地质学
SBAS-InSAR technologyEarthquakeDeformation monitoringLandslideMassflowHazard analysis
《Earthquake Research Advances》 2024 (003)
P.42-54 / 13
supported by the Natural Science Foundation of Gansu Province (22JR5RA326);The geological disaster prevention projects of Gansu Provincial Bureau of Geology and Mineral Resources (2023-2-9)。
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