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.
Research article
| 
10 Jun 2022
Research article |
| 10 Jun 2022
| 10 Jun 2022
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
21 citations as recorded by crossref.
- Anatomy of an Alpine Bedload Transport Event: A Watershed‐Scale Seismic‐Network Perspective G. Antoniazza et al.
- DEBRIS FLOW DETECTION USING REMOTE GROUND VIBRATION RECORDING BASED ON EXPERIMENTAL DATA T. KURITA et al.
- A new real-time debris flow and snow avalanche detection system based on optical fiber sensing M. Barla et al.
- An innovative approach to evaluate debris flow scale-activity across diverse aridity zones: Fusion of image recognition and geomorphometric analysis Z. Jiang et al.
- Applying Distributed Acoustic Sensing (DAS) approaches to monitor debris flow events: a preliminary analysis N. Poursalimi et al.
- Quantifying Seismic Properties of a River Channel at Mount Rainier for Use in Debris Flow Monitoring and Analysis A. Conner et al.
- When instrument location makes the difference on rainfall thresholds definition: Lessons learned at Cancia, Dolomites S. Crema et al.
- Admissibility of solitary wave modes in long-runout debris flows L. Bouchard & S. Moon
- Keynote lecture. Debris-flow detection for early warning purposes: Recent advances, open problems, and future challenges V. Coviello et al.
- Enhanced infrasound denoising for debris flow analysis: Integrating empirical mode decomposition with an improved wavelet threshold algorithm H. Dong et al.
- A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results F. Cazorzi et al.
- Flow resistance variability in debris flows: evaluating equations, critical stress, and scaling from high-resolution field data T. Schöffl et al.
- Characterizing and clustering debris flow and environmental noise seismic signals using unsupervised deep learning Z. Huang et al.
- Near-real-time seismic monitoring improves deep-seated landslides early warning, Jiuxianping, China L. Feng et al.
- Impacts of plant roots on debris-flow bed erosion in laboratory experiments A. van den Broek et al.
- Low-Frequency Ground Vibrations Generated by Debris Flows Detected by a Lab-Fabricated Seismometer C. Huang et al.
- An Effective Method for Improving Low-Frequency Response of Geophone K. Ma et al.
- A debris-flow forecasting method with infrasound-based variational mode decomposition and ARIMA H. Dong et al.
- Vibration signal characteristics of debris flow initiation and motion experiments by considering clay content Z. Li et al.
- 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.
- Debris-Flow Erosion Volume Estimation Using a Single High-Resolution Optical Satellite Image P. Zhang et al.
21 citations as recorded by crossref.
- Anatomy of an Alpine Bedload Transport Event: A Watershed‐Scale Seismic‐Network Perspective G. Antoniazza et al.
- DEBRIS FLOW DETECTION USING REMOTE GROUND VIBRATION RECORDING BASED ON EXPERIMENTAL DATA T. KURITA et al.
- A new real-time debris flow and snow avalanche detection system based on optical fiber sensing M. Barla et al.
- An innovative approach to evaluate debris flow scale-activity across diverse aridity zones: Fusion of image recognition and geomorphometric analysis Z. Jiang et al.
- Applying Distributed Acoustic Sensing (DAS) approaches to monitor debris flow events: a preliminary analysis N. Poursalimi et al.
- Quantifying Seismic Properties of a River Channel at Mount Rainier for Use in Debris Flow Monitoring and Analysis A. Conner et al.
- When instrument location makes the difference on rainfall thresholds definition: Lessons learned at Cancia, Dolomites S. Crema et al.
- Admissibility of solitary wave modes in long-runout debris flows L. Bouchard & S. Moon
- Keynote lecture. Debris-flow detection for early warning purposes: Recent advances, open problems, and future challenges V. Coviello et al.
- Enhanced infrasound denoising for debris flow analysis: Integrating empirical mode decomposition with an improved wavelet threshold algorithm H. Dong et al.
- A model-based early warning system for runoff-generated debris-flow occurrence: Preliminary results F. Cazorzi et al.
- Flow resistance variability in debris flows: evaluating equations, critical stress, and scaling from high-resolution field data T. Schöffl et al.
- Characterizing and clustering debris flow and environmental noise seismic signals using unsupervised deep learning Z. Huang et al.
- Near-real-time seismic monitoring improves deep-seated landslides early warning, Jiuxianping, China L. Feng et al.
- Impacts of plant roots on debris-flow bed erosion in laboratory experiments A. van den Broek et al.
- Low-Frequency Ground Vibrations Generated by Debris Flows Detected by a Lab-Fabricated Seismometer C. Huang et al.
- An Effective Method for Improving Low-Frequency Response of Geophone K. Ma et al.
- A debris-flow forecasting method with infrasound-based variational mode decomposition and ARIMA H. Dong et al.
- Vibration signal characteristics of debris flow initiation and motion experiments by considering clay content Z. Li et al.
- 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.
- Debris-Flow Erosion Volume Estimation Using a Single High-Resolution Optical Satellite Image P. Zhang et al.
Saved (final revised paper)
Latest update: 30 Apr 2026
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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