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An InSAR and depth-integrated coupled model for potential landslide hazard assessment

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Abstract

Assessing the hazard of potential landslides is crucial for developing mitigation strategies for landslide disasters. However, accurate assessment of landslide hazard is limited by the lack of landslide inventory maps and difficulty in determining landslide run-out distance. To address these issues, this study developed a novel method combining the InSAR technique with a depth-integrated model. Within this new framework, potential landslides are identified through InSAR and their potential impact areas are subsequently estimated using the depth-integrated model. To evaluate its capability, the proposed method was applied to a landslide event that occurred on November 3, 2018 in Baige village, Tibet, China. The simulated results show that the area with a probability of more than 50% to be affected by landslides matched the real trimlines of the landslide and that the accuracy of the proposed method reached 85.65%. Furthermore, the main deposit characteristics, such as the location of maximum deposit thickness and the main deposit area, could be captured by the proposed method. Potential landslides in the Baige region were also identified and evaluated. The results indicate that in the event of landslides, the collapsed mass has a high probability to block the Jinsha River. It is therefore necessary to implement field monitoring and prepare hazard mitigation strategies in advance. This study provides new insights for regional-scale landslide hazard management and further contributes to the implementation of landslide risk assessment and reduction activities.

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source area with macroscopic cracks prior to the second landslide (image taken by a UAV on October 16, 2018). The red lines present the cracks at the back edge. b Cracks on the left-hand side. c Crack on the right-hand side

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Acknowledgements

Financial support was provided by NSFC (42022054;41831291), Key Research Program of Frontier Sciences of CAS (QYZDY-SSW-DQC006), and Youth Innovation Promotion Association.

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  1. Department of Geotechnical Engineering, College of Civil Engineering, Tongji University, Shanghai, 200092, China

    Shu Zhou & Yu Huang

  2. Key Laboratory of Geotechnical and Underground Engineering of the Ministry of Education, Tongji University, Shanghai, 200092, China

    Yu Huang

  3. Key Laboratory of Mountain Hazards and Earth Surface Process, Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu, 610041, China

    Chaojun Ouyang

  4. CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences (CAS), Beijing, 100101, China

    Chaojun Ouyang

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Zhou, S., Ouyang, C. & Huang, Y. An InSAR and depth-integrated coupled model for potential landslide hazard assessment. Acta Geotech. 17, 3613–3632 (2022). https://doi.org/10.1007/s11440-021-01429-w

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