Clustering of seismicity at Mount Etna |
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| Institution: | 1. Deconstruction Division, Joint Bioenergy Institute, 5885 Hollis Street, Emeryville, California 94608, United States;2. Bioresource and Environmental Security Department, Sandia National Laboratories, 7011 East Avenue, Livermore, California 94551, United States;3. Department of Chemical Engineering, Indian Institute of Technology Guwahati, Guwahati, Assam, 781039, India;4. Biological Systems and Engineering Division, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, United States;5. Department of Computational Biology and Biophysics, Sandia National Laboratories, 7011 East Avenue, Livermore, California 94551, United States;1. Department of Analytical Chemistry, Institute of Research on Chemical and Biological Analysis (IAQBUS), Universidade de Santiago de Compostela, E-15782 Santiago de Compostela, Galicia, Spain;2. FI-TRACE Group, Department of Chemistry, Faculty of Science, University of the Balearic Islands, Carretera de Valldemossa km 7.5, E-07122 Palma de Mallorca, Illes Balears, Spain |
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| Abstract: | The aim of this study is to understand the seismic characteristics of fault systems, which play key roles in the geodynamics of the Mt. Etna and the ascending magma. Understanding the seismic behaviour of fault systems and their relationship to volcanic and seismic phenomena may provide a useful contribution to a better understanding of dynamic processes at Mt. Etna. The seismicity in two periods (1874–1913 and 1981–1996), which include some important eruptions, have been analysed. Quantitative analysis of seismicity has been performed. Calculating fractal dimension allows us to distinguish between random, periodic and clustered scale-invariant time distributions of volcanic events. Correlations between fractal clustering evolution at long, mid and short term and eruptive processes has been found. |
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