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Automatic Detection of Sediment-Related Disasters Based on Seismic and Infrasound Signals Open image in new window

  • Andreas SchimmelEmail author
  • Johannes Hübl
Conference paper

Abstract

The automatic detection of sediment related disasters like landslides, debris flows and debris floods, gets increasing importance for hazard mitigation and early warning. Past studies showed that such processes induce characteristic seismic signals and acoustic signals in the infrasonic spectrum which can be used for event detection. So already many studies has been done on signal processing and detection methods based on seismic or infrasound sensors. But up to date no system has been developed which uses a combination of both technologies for an automatic detection of debris flows, debris floods or landslides. This work aims to develop a system which is based on one infrasound and one seismic sensor to detect sediment related processes with high accuracy in real time directly at the sensor site. The developed system compose of one geophone, one infrasound sensor and a microcontroller where a specially developed detection algorithm is executed. Further work tries to get out more information of the seismic and infrasound signals to enable an automatic identification of the process type and the magnitude of an event. Currently the system is installed on several test sites in Austria, Switzerland and Italy and these tests show promising results.

Keywords

Infrasound signals Seismic signals Early warning system Debris flow Debris flood 

Notes

Acknowledgements

This work was financed in the first period by the Austrian Research Promotion Agency (FFG) Bridge-Project “Automatic detection of alpine mass movements” (No. 836474) and in the second period by the Austrian Academy of Science (ÖAW) Earth System Sciences (ESS) project “Identification of sediment-related disaster based on seismic and acoustic signals”.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Institute of Mountain Risk EngineeringUniversity of Natural Resources and Life SciencesViennaAustria

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