Articles | Volume 22, issue 6
https://doi.org/10.5194/nhess-22-1955-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-1955-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Debris flow velocity and volume estimations based on seismic data
Andreas Schimmel
Faculty of Science and Technology, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy
Andreas Schimmel – Alpine Monitoring Systems (ALMOSYS), Mkt. Piesting, Austria
Faculty of Science and Technology, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy
Research Institute for Geo-Hydrological Protection, Consiglio Nazionale delle Ricerche, Padua, Italy
Francesco Comiti
Faculty of Science and Technology, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy
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Cited
13 citations as recorded by crossref.
- Enhanced infrasound denoising for debris flow analysis: Integrating empirical mode decomposition with an improved wavelet threshold algorithm H. Dong et al. 10.1016/j.measurement.2024.114961
- Anatomy of an Alpine Bedload Transport Event: A Watershed‐Scale Seismic‐Network Perspective G. Antoniazza et al. 10.1029/2022JF007000
- Low-Frequency Ground Vibrations Generated by Debris Flows Detected by a Lab-Fabricated Seismometer C. Huang et al. 10.3390/s22239310
- An Effective Method for Improving Low-Frequency Response of Geophone K. Ma et al. 10.3390/s23063082
- A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results F. Cazorzi et al. 10.1051/e3sconf/202341503005
- A new real-time debris flow and snow avalanche detection system based on optical fiber sensing M. Barla et al. 10.1007/s10346-024-02399-2
- A debris-flow forecasting method with infrasound-based variational mode decomposition and ARIMA H. Dong et al. 10.1007/s11629-024-8901-8
- When instrument location makes the difference on rainfall thresholds definition: Lessons learned at Cancia, Dolomites S. Crema et al. 10.1051/e3sconf/202341503008
- Characterizing the evolution of mass flow properties and dynamics through analysis of seismic signals: insights from the 18 March 2007 Mt. Ruapehu lake-breakout lahar B. Walsh et al. 10.5194/nhess-23-1029-2023
- Keynote lecture. Debris-flow detection for early warning purposes: Recent advances, open problems, and future challenges V. Coviello et al. 10.1051/e3sconf/202341503007
- Deciphering the dynamics of debris flows through basal stress responses in model experiments C. Li et al. 10.1007/s11440-024-02461-2
- MAMODIS - A low-cost monitoring system for debris flows based on infrasound and seismic signals A. Schimmel et al. 10.1051/e3sconf/202341503025
- How debris‐flow composition affects bed erosion quantity and mechanisms: An experimental assessment L. Roelofs et al. 10.1002/esp.5369
10 citations as recorded by crossref.
- Enhanced infrasound denoising for debris flow analysis: Integrating empirical mode decomposition with an improved wavelet threshold algorithm H. Dong et al. 10.1016/j.measurement.2024.114961
- Anatomy of an Alpine Bedload Transport Event: A Watershed‐Scale Seismic‐Network Perspective G. Antoniazza et al. 10.1029/2022JF007000
- Low-Frequency Ground Vibrations Generated by Debris Flows Detected by a Lab-Fabricated Seismometer C. Huang et al. 10.3390/s22239310
- An Effective Method for Improving Low-Frequency Response of Geophone K. Ma et al. 10.3390/s23063082
- A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results F. Cazorzi et al. 10.1051/e3sconf/202341503005
- A new real-time debris flow and snow avalanche detection system based on optical fiber sensing M. Barla et al. 10.1007/s10346-024-02399-2
- A debris-flow forecasting method with infrasound-based variational mode decomposition and ARIMA H. Dong et al. 10.1007/s11629-024-8901-8
- When instrument location makes the difference on rainfall thresholds definition: Lessons learned at Cancia, Dolomites S. Crema et al. 10.1051/e3sconf/202341503008
- Characterizing the evolution of mass flow properties and dynamics through analysis of seismic signals: insights from the 18 March 2007 Mt. Ruapehu lake-breakout lahar B. Walsh et al. 10.5194/nhess-23-1029-2023
- Keynote lecture. Debris-flow detection for early warning purposes: Recent advances, open problems, and future challenges V. Coviello et al. 10.1051/e3sconf/202341503007
3 citations as recorded by crossref.
- Deciphering the dynamics of debris flows through basal stress responses in model experiments C. Li et al. 10.1007/s11440-024-02461-2
- MAMODIS - A low-cost monitoring system for debris flows based on infrasound and seismic signals A. Schimmel et al. 10.1051/e3sconf/202341503025
- How debris‐flow composition affects bed erosion quantity and mechanisms: An experimental assessment L. Roelofs et al. 10.1002/esp.5369
Latest update: 01 Jan 2025
Short summary
The estimation of debris flow velocity and volume is a fundamental task for the development of early warning systems and other mitigation measures. This work provides a first approach for estimating the velocity and the total volume of debris flows based on the seismic signal detected with simple, low-cost geophones installed along the debris flow channel. The developed method was applied to seismic data collected at three test sites in the Alps: Gadria and Cancia (IT) and Lattenbach (AT).
The estimation of debris flow velocity and volume is a fundamental task for the development of...
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