Earth Surface Dynamics
Earth Surface Dynamics
ESurf
Articles | Volume 10, issue 6
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.
https://doi.org/10.5194/esurf-10-1233-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 10, issue 6
Research article
 | 
09 Dec 2022
Research article |  | 09 Dec 2022

Combining seismic signal dynamic inversion and numerical modeling improves landslide process reconstruction

Yan Yan, Yifei Cui, Xinghui Huang, Jiaojiao Zhou, Wengang Zhang, Shuyao Yin, Jian Guo, and Sheng Hu

Viewed

Total article views: 3,130 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,402 635 93 3,130 85 74 108
  • HTML: 2,402
  • PDF: 635
  • XML: 93
  • Total: 3,130
  • Supplement: 85
  • BibTeX: 74
  • EndNote: 108
Views and downloads (calculated since 22 Mar 2022)
Cumulative views and downloads (calculated since 22 Mar 2022)

Viewed (geographical distribution)

Total article views: 3,130 (including HTML, PDF, and XML) Thereof 2,973 with geography defined and 157 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 06 Nov 2025
Download
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.
Read more
Share