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Open AccessArticle

Automatic Identification of Alpine Mass Movements by a Combination of Seismic and Infrasound Sensors

1
Institute of Mountain Risk Engineering, University of Natural Resources and Life Sciences (BOKU), 1190 Vienna, Austria
2
Swiss Federal Institute for Forest, Snow and Landscape Research WSL, 8903 Birmensdorf, Switzerland
3
Laboratory of Hydraulics, Hydrology and Glaciology (VAW), ETH Zürich, 8093 Zürich, Switzerland
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(5), 1658; https://doi.org/10.3390/s18051658
Received: 18 April 2018 / Revised: 2 May 2018 / Accepted: 5 May 2018 / Published: 22 May 2018
(This article belongs to the Section Physical Sensors)
The automatic detection and identification of alpine mass movements such as debris flows, debris floods, or landslides have been of increasing importance for devising mitigation measures in densely populated and intensively used alpine regions. Since these mass movements emit characteristic seismic and acoustic waves in the low-frequency range (<30 Hz), several approaches have already been developed for detection and warning systems based on these signals. However, a combination of the two methods, for improving detection probability and reducing false alarms, is still applied rarely. This paper presents an update and extension of a previously published approach for a detection and identification system based on a combination of seismic and infrasound sensors. Furthermore, this work evaluates the possible early warning times at several test sites and aims to analyze the seismic and infrasound spectral signature produced by different sediment-related mass movements to identify the process type and estimate the magnitude of the event. Thus, this study presents an initial method for estimating the peak discharge and total volume of debris flows based on infrasound data. Tests on several catchments show that this system can detect and identify mass movements in real time directly at the sensor site with high accuracy and a low false alarm ratio. View Full-Text
Keywords: infrasound sensors; seismic sensors; debris flow; detection system; identification system infrasound sensors; seismic sensors; debris flow; detection system; identification system
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MDPI and ACS Style

Schimmel, A.; Hübl, J.; McArdell, B.W.; Walter, F. Automatic Identification of Alpine Mass Movements by a Combination of Seismic and Infrasound Sensors. Sensors 2018, 18, 1658.

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