| Citation: |
HAN Xudong, FU Jie, LI Yanyan, WANG Gaofeng, CAO Chen. A study of the early identification and risk assessment of the Jiangdingya landslide in Zhouqu county[J]. Hydrogeology & Engineering Geology, 2021, 48(6): 180-186. doi: 10.16030/j.cnki.issn.1000-3665.202104028
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A study of the early identification and risk assessment of the Jiangdingya landslide in Zhouqu county
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Abstract
How to identify deformed landslides in advance and conduct early risk assessments on them has become a research hotspot in the field of geological disaster prevention and control. In response to the above problems, the Jiangdingya landslide in the Bailong River Basin in Zhouqu is taken as a back analysis case, and a comprehensive study of the early identification and risk assessment of the landslide is carried out. In this paper, a full-process analysis method is proposed, which combine the small baseline subset interferometric synthetic aperture radar (SBAS-InSAR) technology interpretation, geo-mechanical analysis and dynamic process simulation. The research results show that the SABS-InSAR technology interpretation can effectively identify the range of the Jiangdingya landslide and its early deformation. It may be preliminarily determined that the failure mode of the Jiangdingya landslide is trailed and the plane characteristics of the landslide body is generally about 680 m in length and 210 m in width. Based on the early identification information and through geo-mechanical analysis, it is finally identified that the instability problem of the Jiangdingya landslide is a typical deformation problem of the front edge of the old accumulation layer landslide. The failure mode is the traction slip failure, the average thickness of the landslide body is in about 35 m, the overall slope of the sliding bed is relatively slow, and the moving speed is not large after instability. On the basis of the above analyses, a Coulomb friction model that conformed to the sliding friction characteristics of the Jiangdingya landslide body is selected. Based on the depth integral continuum equation, the dynamic process of the Jiangdingya landslide body is calculated and the speed of the landslide body is monitored. In terms of velocity monitoring curves and accumulation pattern, the sliding velocity of the landslide body is not large, the maximum value is about 2.2 m/s, the overall performance is pushing the Bailong River channel, and the possibility of blocking the river is relatively small. In addition, when the displacement of the front edge of the Jiangdingya landslide body is completed, the speed of the landslide body from the front edge to the rear edge quickly drope to zero, and the movement process is characterized by the traction movement. The analysis results of the Jiangdingya landslide in this paper are consistent with the actual event of the Jiangdingya landslide. The comprehensive analysis method and research model can provide a good reference for the early identification and risk assessment of similar landslides in the Bailong River Basin in Zhouqu county.
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References
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HAN Xudong, FU Jie, LI Yanyan, WANG Gaofeng, CAO Chen. A study of the early identification and risk assessment of the Jiangdingya landslide in Zhouqu county[J]. Hydrogeology & Engineering Geology, 2021, 48(6): 180-186. doi: 10.16030/j.cnki.issn.1000-3665.202104028
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Figure 1.
Jiangdingya ladslide and remote sensing image in the Jiangdingya landslide area in Zhouqu
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Figure 2.
Association of spatial and temporal baselines of 16 periods of sentinel-1A SAR data
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Figure 3.
Interference phase distribution of SAR images in the Jiangdingya landslide area
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Figure 4.
Average surface deformation rate in the Jiangdingya landslide area
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Figure 5.
Cumulative deformation curves of the Jiangdingya landslide in radar line of sight
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Figure 6.
Geological profile of the Jiangdingya landslide
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Figure 7.
Stability calculation model for the Jiangdingya landslide
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Figure 8.
Post-sliding geometry of the Jiangdingya landslide body
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Figure 9.
Velocity monitoring curve of the Jiangdingya landslide body