AI provides debris flow warnings

Together with his team, D-BAUG Professor Fabian Walter has developed an innovative alarm system that can provide early warning of debris flows at Illgraben in Valais. For this, the scientists used seismic sensors and machine learning. The new AI detector increases the warning time by at least 20 minutes compared with existing systems. The study is the first milestone in a research collaboration conducted by WSL and Swisscom Broadcast in the early detection of natural hazards in Alpine regions.

Workshop discussion: New IT solution for faster warning of natural hazards

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"Workshop discussion" with Fabian Walter, Professor of Glacier Seismology at ETH Zurich, and Klaus Pilz, Business Development Manager Swisscom Broadcast AG, about a new IT solution for faster warning of natural hazards.

TV broadcast from 26.03.2021 in the Swiss news program 10vor10

Video in german

Prof. Fabian Walter, TV news 10vor10
"The Idea": Using artificial intelligence to warn of debris flows

Find ETH News article by Michael Keller

Original publication:
Chmiel M, Walter F, Wenner M, Zhang Z, McArdell BW, Hibert C: Machine Learning Improves Debris Flow Warning. Geophysical Research Letters (2021), external pagedoi: 10.1029/2020GL090874

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