β
If youβre interested in leveraging machine learning and seismic signals for channelized flow early warning,
including, but not limited to, debris flows, glacial lake outburst floods (GLOFs), and lahars,
youβve come to the right place!
Check out our repository to get started.
Flow-Alert
βββ calculate_features # Convert raw seismic data into features
βββ config # Configuration files
βββ data # Seismic data and extracted features
βββ demo # Examples of running the case
βββ docs # Documentation for users
βββ functions # Core functions and scripts
βββ trained_model # Pre-trained models
βββ feature_imp # Seismic geature weight
βββ v1_model # Model version 1
To get started:
2.1, Check the To-Do-List for setup and prerequisites
2.2, Follow our tutorial notebook: Inference Tutorial
Feel free to open a Pull request, or reach out to us via email.
4.1 Start by reading our related paper
Qi Zhou, Hui Tang, ClΓ©ment Hibert, MaΕgorzata Chmiel, Fabian Walter, Michael Dietze, and Jens M Turowski.
βEnhancing debris flow warning via machine learning feature reduction and model selection.β
Journal of Geophysical Research: Earth Surface, 129, e2024JF008094.
Click here for the manuscript
If you still have questions, feel free to contact the project contributors.
4.2 Or reach out to our research groups
Hazards and Surface Processes Research Group and Digital Earth Lab
Led by Dr. Hui Tang
Physical Earth Surface Modelling Lab
Led by Dr. Jens Turowski.
Qi Zhou
qi.zhou@gfz.de or qi.zhou.geo@gmail.com
Kshitij Kar
kshitij.kar@gfz-potsdam.de