Articles | Volume 10, issue 6
https://doi.org/10.5194/esurf-10-1233-2022
https://doi.org/10.5194/esurf-10-1233-2022
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

Related authors

Real-time Monitoring and Analysis of Debris Flow Events: Insight from seismic signal characteristics
Yan Yan, Cheng Zeng, Renhe Wang, Yifei Cui, Sheng Hu, Xinglu Wang, and Hui Tang
EGUsphere, https://doi.org/10.5194/egusphere-2024-2977,https://doi.org/10.5194/egusphere-2024-2977, 2024
Short summary
Real-time Monitoring and Analysis of Debris Flow Events: Insight from seismic signal features and dynamic flow characteristics
Yan Yan, Cheng Zeng, Yifei Cui, Sheng Hu, Xinglu Wang, and Hui Tang
EGUsphere, https://doi.org/10.5194/egusphere-2023-2015,https://doi.org/10.5194/egusphere-2023-2015, 2023
Preprint archived
Short summary

Related subject area

Physical: Geomorphology (including all aspects of fluvial, coastal, aeolian, hillslope and glacial geomorphology)
Haloturbation in the northern Atacama Desert revealed by a hidden subsurface network of calcium sulfate wedges
Aline Zinelabedin, Joel Mohren, Maria Wierzbicka-Wieczorek, Tibor Janos Dunai, Stefan Heinze, and Benedikt Ritter
Earth Surf. Dynam., 13, 257–276, https://doi.org/10.5194/esurf-13-257-2025,https://doi.org/10.5194/esurf-13-257-2025, 2025
Short summary
An evaluation of flow-routing algorithms for calculating contributing area on regular grids
Alexander B. Prescott, Jon D. Pelletier, Satya Chataut, and Sriram Ananthanarayan
Earth Surf. Dynam., 13, 239–256, https://doi.org/10.5194/esurf-13-239-2025,https://doi.org/10.5194/esurf-13-239-2025, 2025
Short summary
Geometric constraints on tributary fluvial network junction angles
Jon D. Pelletier, Robert G. Hayes, Olivia Hoch, Brendan Fenerty, and Luke A. McGuire
Earth Surf. Dynam., 13, 219–238, https://doi.org/10.5194/esurf-13-219-2025,https://doi.org/10.5194/esurf-13-219-2025, 2025
Short summary
Automatic detection of floating instream large wood in videos using deep learning
Janbert Aarnink, Tom Beucler, Marceline Vuaridel, and Virginia Ruiz-Villanueva
Earth Surf. Dynam., 13, 167–189, https://doi.org/10.5194/esurf-13-167-2025,https://doi.org/10.5194/esurf-13-167-2025, 2025
Short summary
Investigating uncertainty and parameter sensitivity in bedform analysis by using a Monte Carlo approach
Julius Reich and Axel Winterscheid
Earth Surf. Dynam., 13, 191–217, https://doi.org/10.5194/esurf-13-191-2025,https://doi.org/10.5194/esurf-13-191-2025, 2025
Short summary

Cited articles

Allstadt, K.: Extracting source characteristics and dynamics of the August 2010 Mount Meager landslide from broadband seismograms, J. Geophys. Res.-Earth, 118, 1472–1490, https://doi.org/10.1002/jgrf.20110, 2013. 
An, H. C., Ouyang, C. J., Zhao, C., and Zhao, W.: Landslide dynamic process and parameter sensitivity analysis by discrete element method: the case of Turnoff Creek rock avalanche, J. Mt. Sci., 17, 1581–1595, https://doi.org/110.1007/s11629-020-5993-7, 2020. 
An, H. C., Ouyang, C. J., and Zhou, S.: Dynamic process analysis of the Baige landslide by the combination of DEM and long-period seismic waves, Landslides, 18, 1625–1639, https://doi.org/10.1007/s10346-020-01595-0, 2021. 
Brodsky, E. E., Gordeev, E., and Kanamori, H.: Landslide basal friction as measured by seismic waves, Geophys. Res. Lett., 30, 2236, https://doi.org/10.1029/2003GL018485, 2003. 
Chao, W. A., Zhao, L., Chen, S. C., Wu, Y. M., Chen, C. H., and Huang, H. H.: Seismology-based early identification of dam-formation landquake events, Sci. Rep., 6, 19259, https://doi.org/10.1038/srep19259, 2016. 
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.
Share