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Passive seismic monitoring of potentially unstable rock masses can be used to track resonance frequencies, shear wave velocity variations and microseismicity over time, in an early warning perspective. While the computation of the first two seismic parameters can be easily done in near-real time, microseismicity analyses always imply time-consuming classification of the detected events. We developed an unsupervised detection and classification procedure for the microseismicity of the Gollone Landslide (northwestern Italian Alps) that can overcome these limitations and be used for early warning of the ongoing failure processes.