Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction
文献类型：期刊论文
| 作者 | Yan, Yan1,5; Cui, Yifei6; Huang, Xinghui2; Zhou, Jiaojiao5; Zhang, Wengang4; Yin, Shuyao; Guo, Jian6; Hu, Sheng3 |
| 刊名 | EARTH SURFACE DYNAMICS
 |
| 出版日期 | 2022-12-09 |
| 卷号 | 10期号:6页码:1233-1252 |
| ISSN号 | 2196-6311 |
| DOI | 10.5194/esurf-10-1233-2022 |
| 通讯作者 | Cui, Yifei(yifeicui@mail.tsinghua.edu.cn) |
| 英文摘要 | Landslides present a significant hazard for humans, but continuous landslide monitoring is not yet possible due to their unpredictability. In recent years, numerical simulation and seismic inversion methods have been used to provide valuable data for understanding the entire process of landslide movement. However, each method has shortcomings. Dynamic inversion based on long-period seismic signals gives the force-time history of a landslide using an empirical Green's function but lacks detailed flowing characteristics for the hazards. Numerical simulation can simulate the entire movement process, but results are strongly influenced by the choice of modeling parameters. Therefore, developing a method for combining those two techniques has become a focus for research in recent years. In this study, we develop such a protocol based on analysis of the 2018 Baige landslide in China. Seismic signal inversion results are used to constrain and optimize the numerical simulation. We apply the procedure to the Baige event and, combined with a field geological survey, show it provides a comprehensive and accurate method for dynamic process reconstruction. We found that the Baige landslide was triggered by detachment of the weathered layer, with severe top fault segmentation. The landslide process comprised four stages: initiation, main slip, blocking, and deposition. Multi-method mutual verification effectively reduces the inherent drawbacks of each method, and multi-method joint analysis improves the rationality and reliability of the results. The approach outlined in this study could help us to better understand the landslide dynamic process. |
| WOS关键词 | SINGLE-FORCE REPRESENTATION ; CLOSE-PACKED LATTICE ; MOUNT ST-HELENS ; JINSHA RIVER ; ROCK ; AVALANCHES ; ROCKSLIDES ; ERUPTION ; FAILURE ; HISTORY |
| 资助项目 | National Natural Science Foundation of China[42120104002] ; National Natural Science Foundation of China[41901008] ; National Natural Science Foundation of China[U21A2008] ; National Natural Science Foundation of China[41941019] ; Second Tibetan Plateau Scientific Expedition and Research Program-(STEP)[2019QZKK0906] ; Fundamental Research Funds for the Project of Science & Technology Department of Sichuan Province[2020YFH0085] ; State Key Laboratory of Hydroscience and Hydraulic Engineering[2021-KY-04] |
| WOS研究方向 | Physical Geography ; Geology |
| 语种 | 英语 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| WOS记录号 | WOS:000895466300001 |
| 资助机构 | National Natural Science Foundation of China ; Second Tibetan Plateau Scientific Expedition and Research Program-(STEP) ; Fundamental Research Funds for the Project of Science & Technology Department of Sichuan Province ; State Key Laboratory of Hydroscience and Hydraulic Engineering |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/187825]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Cui, Yifei |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.China Earthquake Networks Ctr, Beijing 100045, Peoples R China 3.Northwest Univ, Coll Urban & Environm Sci, Xian 710127, Peoples R China 4.Chongqing Univ, Sch Civil Engn, Chongqing 400045, Peoples R China 5.Southwest Jiaotong Univ, Sch Civil Engn, Key Lab High Speed Railway Engn, MOE, Chengdu 610031, Peoples R China 6.Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yan, Yan,Cui, Yifei,Huang, Xinghui,et al. Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction[J]. EARTH SURFACE DYNAMICS,2022,10(6):1233-1252. |
| APA | Yan, Yan.,Cui, Yifei.,Huang, Xinghui.,Zhou, Jiaojiao.,Zhang, Wengang.,...&Hu, Sheng.(2022).Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction.EARTH SURFACE DYNAMICS,10(6),1233-1252. |
| MLA | Yan, Yan,et al."Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction".EARTH SURFACE DYNAMICS 10.6(2022):1233-1252. |
入库方式： OAI收割
来源：地理科学与资源研究所
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