Abstract
Effective monitoring and early warning methods can greatly reduce the threat of sudden landslide damage to lives and property in mountainous areas. Seismic monitoring is a newly developing remote monitoring method that can make up for the shortage of on-site data obtained from traditional methods. This review article summarizes the authors’ recent developments involving the combination of band-pass filter, empirical mode decomposition, and fast and short-time Fourier transform methods to deduce event sequences of actual landslides. Two case studies of landslides in Xinmo and Shuicheng, China are used to follow the methodology development. Through seismic signal processing, seismic signals caused by the two landslides are extracted and successfully denoised, and the time-frequency characteristics of the seismic signal in each stage are analyzed in detail. The results show good correspondence between each seismic signal stage caused by the landslide and the field investigations. This further demonstrates the feasibility of applying monitoring and early warning methods based on seismic signals.
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Acknowledgements
We thank Esther Posner, PhD, from Liwen Bianji, Edanz Editing China, for editing the English text of a draft of this manuscript.
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Yan, Y., Cui, Y., Yin, S., Tian, X. (2021). Quantitative Analysis of Landslide Processes Based on Seismic Signals—A New Method for Monitoring and Early Warning of Landslide Hazards. In: Arbanas, Ž., Bobrowsky, P.T., Konagai, K., Sassa, K., Takara, K. (eds) Understanding and Reducing Landslide Disaster Risk. WLF 2020. ICL Contribution to Landslide Disaster Risk Reduction. Springer, Cham. https://doi.org/10.1007/978-3-030-60713-5_21
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DOI: https://doi.org/10.1007/978-3-030-60713-5_21
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