TY - JOUR
T1 - Insights From the Particle Impact Model Into the High-Frequency Seismic Signature of Debris Flows
AU - Zhang, Zhen
AU - Walter, Fabian
AU - McArdell, Brian W.
AU - Wenner, Michaela
AU - Chmiel, Małgorzata
AU - de Haas, Tjalling
AU - He, Siming
N1 - Funding Information:
We thank Victor Tsai, Velio Coviello, and two anonymous reviewers for their thoughtful reviews of the manuscript. Seismometer deployments were funded by WSL and the Canton Valais and supported by the Swiss Military. We thank the Swiss Seismological Service and its Electronic Laboratory (ELAB) for technical support. This work was supported by the National Key Research and Development program of China (Project No. 2017YFC1501003), the Major Program of the National Natural Science Foundation of China (Grant No. 41790433), and the National Natural Science Foundation of China (Grant No. 41772312).
Funding Information:
We thank Victor Tsai, Velio Coviello, and two anonymous reviewers for their thoughtful reviews of the manuscript. Seismometer deployments were funded by WSL and the Canton Valais and supported by the Swiss Military. We thank the Swiss Seismological Service and its Electronic Laboratory (ELAB) for technical support. This work was supported by the National Key Research and Development program of China (Project No. 2017YFC1501003), the Major Program of the National Natural Science Foundation of China (Grant No. 41790433), and the National Natural Science Foundation of China (Grant No. 41772312).
Publisher Copyright:
© 2020. American Geophysical Union. All Rights Reserved.
PY - 2021/1/16
Y1 - 2021/1/16
N2 - Debris flows induce seismic ground unrest detectable over large distances. However, recent theoretical description of debris-flow seismograms has yet to be implemented in alarm systems. Here, we test the implications of a particle impact model for debris-flow detection and warning using seismic data. We analyze 14 debris flows at Illgraben, Switzerland, using instantaneous weight measurements, a seismic network and video footage. A novel approach to simulate seismic wave propagation estimates both vertical and horizontal particle impact forces on the ground. Scaling between impact forces, weight, and particle sizes suggests that seismic data identify destructive debris flows with large boulders. Impact force spectra change with bed topography and increase during flow propagation of large events, but decrease for smaller events. This can be explained with the known conveyor mechanism concentrating boulders at the flow front. Our results highlight opportunities to use seismic data for debris-flow research and warning.
AB - Debris flows induce seismic ground unrest detectable over large distances. However, recent theoretical description of debris-flow seismograms has yet to be implemented in alarm systems. Here, we test the implications of a particle impact model for debris-flow detection and warning using seismic data. We analyze 14 debris flows at Illgraben, Switzerland, using instantaneous weight measurements, a seismic network and video footage. A novel approach to simulate seismic wave propagation estimates both vertical and horizontal particle impact forces on the ground. Scaling between impact forces, weight, and particle sizes suggests that seismic data identify destructive debris flows with large boulders. Impact force spectra change with bed topography and increase during flow propagation of large events, but decrease for smaller events. This can be explained with the known conveyor mechanism concentrating boulders at the flow front. Our results highlight opportunities to use seismic data for debris-flow research and warning.
UR - http://www.scopus.com/inward/record.url?scp=85100103442&partnerID=8YFLogxK
U2 - 10.1029/2020GL088994
DO - 10.1029/2020GL088994
M3 - Letter
AN - SCOPUS:85100103442
SN - 0094-8276
VL - 48
SP - 1
EP - 11
JO - Geophysical Research Letters
JF - Geophysical Research Letters
IS - 1
M1 - e2020GL088994
ER -