Japan Geoscience Union Meeting 2025

Presentation information

[E] Poster

S (Solid Earth Sciences ) » S-SS Seismology

[S-SS07] Environmental Seismology: from deep earth to surface process

Sun. May 25, 2025 5:15 PM - 7:15 PM Poster Hall (Exhibition Hall 7&8, Makuhari Messe)

convener:Ling Bai(Institute of Tibetan Plateau Research, Chinese Academy of Sciences), Kiwamu Nishida(Earthquake Research Institute, University of Tokyo), Yifei Cui(Tsinghua University), Yuzo Ishikawa(Shizuoka university)

5:15 PM - 7:15 PM

[SSS07-P09] Analysis of the Processes and Characteristics of Debris Flows Based on Seismic Signals

*Shuai Li1, Lei Jing Yang1, Jing Liu, Chen Yin, Hui Tang (1.Institute of Mountain Hazards and Environment, CAS)

Keywords:Debris Flow, Seismic Signal, Dynamic Characteristics, Flow Regime

Debris flows are characterized by their suddenness, randomness, and concealment, often resulting in significant property losses and casualties. The pressing challenge lies in how to monitor debris flows in real-time, swiftly and accurately ascertain their time-varying characteristics, and early warnings. This study employs seismic technology to conduct on-site monitoring of debris flows in Jiangjia Gully, deciphering the evolutionary patterns of debris-flow patterns, and inverting the dynamic parameters of debris flows. The results reveal that the characteristics of the seismic signals generated by the debris - flow event that occurred in Jiangjia Gully, align well with the theoretical thin-layer flow model of debris-flow-induced seismic motion, validating the model's significant practical application. There exists a notable difference in the power spectral density of seismic signals between the continuous and surge flows within a debris-flow event, which can be distinguished by the ratio of 10-40Hz to 1-10Hz. The peak amplitude of debris flow seismic signals shows a strong correlation with sediment transport rate, flow resistance, sediment volume, and kinetic energy, while the power spectral density exhibits a strong correlation with sediment transport rate and kinetic energy. The research results confirm that particle collisions are the primary source of seismic energy, and variations in the ratio of solid particles to fluid also affect the propagation of seismic signals. The changing characteristics of debris-flow-induced seismic signals are helpful for us to remotely monitor the evolution process of debris flows in real-time and issue accurate early warnings in a timely manner, which has broad application prospects.