Articles | Volume 10, issue 6
https://doi.org/10.5194/esurf-10-1233-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-10-1233-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 Dec 2022
Research article |
| 09 Dec 2022
| 09 Dec 2022
Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction
Key Laboratory of High-Speed Railway Engineering, MOE/School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Institute of Geographic Sciences and Natural Resources Research,
Chinese Academy of Sciences, Beijing 100101, China
Yifei Cui
CORRESPONDING AUTHOR
State Key Laboratory of Hydroscience and Engineering, Tsinghua
University, Beijing 100084, China
Xinghui Huang
China Earthquake Networks Center, Beijing 100045, China
Jiaojiao Zhou
Key Laboratory of High-Speed Railway Engineering, MOE/School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
Wengang Zhang
School of Civil Engineering, Chongqing University, Chongqing
400045, China
Shuyao Yin
Key Laboratory of High-Speed Railway Engineering, MOE/School of Civil Engineering, Southwest Jiaotong University, Chengdu 610031, China
State Key Laboratory of Hydroscience and Engineering, Tsinghua
University, Beijing 100084, China
Sheng Hu
College of Urban and Environmental Sciences, Northwest University,
Xi'an 710127, China
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Cited
21 citations as recorded by crossref.
- Probabilistic identification of debris flow source areas in the Wenchuan earthquake-affected region of China based on Bayesian geomorphology X. Hu et al. 10.1007/s12665-024-11833-6
- Critical threshold mining of landslide deformation and intelligent early-warning methods based on multi-factor fusion D. Liu et al. 10.1007/s10064-024-03841-4
- Physical model experiment of rainfall-induced instability of a two-layer slope: implications for early warning B. Shiqiang et al. 10.1007/s10346-024-02339-0
- Quantitative Estimation of Pipeline Slope Disaster Risk in China Y. Yan et al. 10.1007/s13753-023-00462-5
- Modeling of particle migration in piping based on an improved discrete element method W. Xia et al. 10.1016/j.rockmb.2024.100151
- Understanding the failure mechanisms of the 2017 Santa Lucía landslide, Patagonian Andes, using remote sensing and 3D numerical modelling techniques J. Singh & S. Sepúlveda 10.1007/s10346-024-02346-1
- A digital-twin platform for cryospheric disaster warning Y. Cui et al. 10.1093/nsr/nwae300
- Quantifying the impact of earthquakes and geological factors on spatial heterogeneity of debris-flow prone areas: A case study in the Hengduan Mountains X. Hu et al. 10.1007/s11629-023-8320-2
- Phreatic Line Calculation of Reservoir Landslide under Complex Hydraulic Conditions—A Case Study L. Zhang et al. 10.3390/w16030375
- Lateral Shear Stress Calculation Model Based on Flow Velocity Field Distribution from Experimental Debris Flows Y. Yan et al. 10.1007/s13753-024-00584-4
- Detecting gas pipeline leaks in sandy soil with fiber-optic distributed acoustic sensing Z. Chen et al. 10.1016/j.tust.2023.105367
- Key predisposing factors and susceptibility assessment of landslides along the Yunnan–Tibet traffic corridor, Tibetan plateau: Comparison with the LR, RF, NB, and MLP techniques S. Wang et al. 10.3389/feart.2022.1100363
- Insights into landslide development and susceptibility in extremely complex alpine geoenvironments along the western Sichuan–Tibet Engineering Corridor, China S. Zhao et al. 10.1016/j.catena.2023.107105
- Experimental Study on the Clogging Performance of Waste Slag S. Li et al. 10.3390/w16101390
- Channel aggradation triggered by dam failure amplifies the damage of outburst flood D. Liu et al. 10.1007/s10346-023-02026-6
- Increasing landslide activity in the Taxkorgan River Basin (eastern Pamirs Plateau, China) driven by climate change Y. Pei et al. 10.1016/j.catena.2023.106911
- Deriving Debris‐Flow Dynamics From Real‐Time Impact‐Force Measurements Y. Yan et al. 10.1029/2022JF006715
- Insights into Deformation and Mechanism of a Reactivated Landslide Occurrence from Multi-Source Data: A Case Study in Li County, China Y. Du et al. 10.3390/rs16081317
- Preliminary analysis of the wildfire on March 15, 2024, and the following post-fire debris flows in Yajiang County, Sichuan, China K. He et al. 10.1007/s10346-024-02364-z
- Effects of mass entrainment on the estimation of landslide parameters from long-period seismic inversion X. Wang et al. 10.1007/s10950-023-10165-5
- Source characterization of the December 2018 Anak Krakatau volcano sector collapse X. Huang et al. 10.1007/s11069-024-06701-2
21 citations as recorded by crossref.
- Probabilistic identification of debris flow source areas in the Wenchuan earthquake-affected region of China based on Bayesian geomorphology X. Hu et al. 10.1007/s12665-024-11833-6
- Critical threshold mining of landslide deformation and intelligent early-warning methods based on multi-factor fusion D. Liu et al. 10.1007/s10064-024-03841-4
- Physical model experiment of rainfall-induced instability of a two-layer slope: implications for early warning B. Shiqiang et al. 10.1007/s10346-024-02339-0
- Quantitative Estimation of Pipeline Slope Disaster Risk in China Y. Yan et al. 10.1007/s13753-023-00462-5
- Modeling of particle migration in piping based on an improved discrete element method W. Xia et al. 10.1016/j.rockmb.2024.100151
- Understanding the failure mechanisms of the 2017 Santa Lucía landslide, Patagonian Andes, using remote sensing and 3D numerical modelling techniques J. Singh & S. Sepúlveda 10.1007/s10346-024-02346-1
- A digital-twin platform for cryospheric disaster warning Y. Cui et al. 10.1093/nsr/nwae300
- Quantifying the impact of earthquakes and geological factors on spatial heterogeneity of debris-flow prone areas: A case study in the Hengduan Mountains X. Hu et al. 10.1007/s11629-023-8320-2
- Phreatic Line Calculation of Reservoir Landslide under Complex Hydraulic Conditions—A Case Study L. Zhang et al. 10.3390/w16030375
- Lateral Shear Stress Calculation Model Based on Flow Velocity Field Distribution from Experimental Debris Flows Y. Yan et al. 10.1007/s13753-024-00584-4
- Detecting gas pipeline leaks in sandy soil with fiber-optic distributed acoustic sensing Z. Chen et al. 10.1016/j.tust.2023.105367
- Key predisposing factors and susceptibility assessment of landslides along the Yunnan–Tibet traffic corridor, Tibetan plateau: Comparison with the LR, RF, NB, and MLP techniques S. Wang et al. 10.3389/feart.2022.1100363
- Insights into landslide development and susceptibility in extremely complex alpine geoenvironments along the western Sichuan–Tibet Engineering Corridor, China S. Zhao et al. 10.1016/j.catena.2023.107105
- Experimental Study on the Clogging Performance of Waste Slag S. Li et al. 10.3390/w16101390
- Channel aggradation triggered by dam failure amplifies the damage of outburst flood D. Liu et al. 10.1007/s10346-023-02026-6
- Increasing landslide activity in the Taxkorgan River Basin (eastern Pamirs Plateau, China) driven by climate change Y. Pei et al. 10.1016/j.catena.2023.106911
- Deriving Debris‐Flow Dynamics From Real‐Time Impact‐Force Measurements Y. Yan et al. 10.1029/2022JF006715
- Insights into Deformation and Mechanism of a Reactivated Landslide Occurrence from Multi-Source Data: A Case Study in Li County, China Y. Du et al. 10.3390/rs16081317
- Preliminary analysis of the wildfire on March 15, 2024, and the following post-fire debris flows in Yajiang County, Sichuan, China K. He et al. 10.1007/s10346-024-02364-z
- Effects of mass entrainment on the estimation of landslide parameters from long-period seismic inversion X. Wang et al. 10.1007/s10950-023-10165-5
- Source characterization of the December 2018 Anak Krakatau volcano sector collapse X. Huang et al. 10.1007/s11069-024-06701-2
Latest update: 23 Nov 2024
Short summary
Landslides present a significant hazard for humans, but continuous landslide monitoring is not yet possible due to their unpredictability. Our study has demonstrated that combing landslide seismic signal analysis, dynamic inversion, and numerical simulation provides a comprehensive and accurate method for studying the landslide process. The approach outlined in this study could be used to support hazard prevention and control in sensitive areas.
Landslides present a significant hazard for humans, but continuous landslide monitoring is not...
