Real‐time detection, location, and characterization of rockslides using broadband regional seismic networks

Abstract

Abstract We propose a new real‐time approach to detect, locate, and estimate the volume of rockslides by analyzing waveforms acquired from broadband regional seismic networks. The identification of signals generated by rockslides from other sources, such as natural and/or induced earthquakes, is accomplished by exploiting the ratio between local magnitudes ( M L ) and duration magnitudes ( M D ). We found that signals associated with rockslides have M L / M D < 0.8, while for earthquakes M L / M D ≅ 1. In addition, we derived an empirical relationship between M D and rockslide volumes, obtaining a preliminary characterization of rockslide volume within seconds after their occurrence. The key points of this study are presented by testing the hypothesis on a recent rockslide event that occurred in northern Italy. We discuss also the potential evolution of the methodology for early warning and/or rapid response purposes.