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

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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,, 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,, 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,, 2021. 
Brodsky, E. E., Gordeev, E., and Kanamori, H.: Landslide basal friction as measured by seismic waves, Geophys. Res. Lett., 30, 2236,, 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,, 2016. 
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.