Microseismic monitoring of an unstable rock face - Preliminary signal classification

We analyse signals collected by a microseismic monitoring network installed on an unstable rock face threatening the city of Lecco, in the North of Italy. We propose a classification process based on parameters computed in both time and frequency domains able to identify events possibly related to microseismic activity within the unstable rock mass and discard unwanted signals caused by meteorological conditions or other sources of noise. Our classification routine seems to be robust and the preliminary outcomes are in agreement with the findings reported in previous studies. We believe that further investigations together with the integration with a localization process of the significant microseismic events will improve our approach.