Real-time detection, location, and characterization of rockslides using broadband regional seismic networks
Por:
Manconi, Andrea, Picozzi, Matteo, Coviello, Velio, De Santis, Francesca, Elia, Luca
Publicada:
16 jul 2016
Resumen:
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.
Filiaciones:
Manconi, Andrea:
Swiss Fed Inst Technol, Dept Earth Sci, Zurich, Switzerland
Picozzi, Matteo:
Univ Naples Federico II, Naples, Italy
Coviello, Velio:
Univ Nacl Autonoma Mexico, Ctr Geociencias, Campus Juriquilla, Queretaro, Mexico
De Santis, Francesca:
Inst Natl Environm Ind & Risques, Nancy, France
Elia, Luca:
Univ Naples Federico II, Naples, Italy
AMRA Scarl, Naples, Italy
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