Exploratory seismic site response surveys in a complex geologic area: a case study from Mt. Etna volcano (southern Italy)

2016 ◽  
Vol 86 (S2) ◽  
pp. 385-399 ◽  
Author(s):  
F. Panzera ◽  
G. Lombardo ◽  
E. Longo ◽  
H. Langer ◽  
S. Branca ◽  
...  
Keyword(s):  
Southern Italy ◽  
Site Response ◽  
Etna Volcano ◽  
Seismic Site Response ◽  
Mt Etna

First application of ASDP software: a case study at Mt. Etna volcano and in the Acri region (Southern Italy)

1999 ◽  
Vol 113 (1-4) ◽  
pp. 75-88 ◽  
Author(s):  
Domenico Patanè ◽  
Ferruccio Ferrari ◽  
Fabrizio Ferrucci
Keyword(s):  
Southern Italy ◽  
Etna Volcano ◽  
Mt Etna

Cooling history of a dike as revealed by mineral chemistry: A case study from Mt. Etna volcano

2011 ◽  
Vol 288 (1-2) ◽  
pp. 39-52 ◽  
Author(s):  
Silvio Mollo ◽  
Gabriele Lanzafame ◽  
Matteo Masotta ◽  
Gianluca Iezzi ◽  
Carmelo Ferlito ◽  
...  
Keyword(s):  
Mineral Chemistry ◽  
Etna Volcano ◽  
Cooling History ◽  
Mt Etna ◽  
History Of

Dynamics of magma supply at Mt. Etna volcano (Southern Italy) as revealed by textural and compositional features of plagioclase phenocrysts

Lithos ◽  
2010 ◽  
Vol 116 (1-2) ◽  
pp. 77-91 ◽  
Author(s):  
Marco Viccaro ◽  
Pier Paolo Giacomoni ◽  
Carmelo Ferlito ◽  
Renato Cristofolini
Keyword(s):  
Southern Italy ◽  
Etna Volcano ◽  
Magma Supply ◽  
Mt Etna

OSL chronology of Quaternary terraced deposits outcropping between Mt. Etna volcano and the Catania Plain (Sicily, southern Italy)

2013 ◽  
Vol 63 ◽  
pp. 36-46 ◽  
Author(s):  
Gloria M. Ristuccia ◽  
Agata Di Stefano ◽  
Anna M. Gueli ◽  
Carmelo Monaco ◽  
Giuseppe Stella ◽  
...  
Keyword(s):  
Southern Italy ◽  
Etna Volcano ◽  
Mt Etna

Deciphering lava flow post-eruption differentiation processes by means of geochemical and isotopic variations: A case study from Mt. Etna volcano

Lithos ◽  
2013 ◽  
Vol 162-163 ◽  
pp. 115-127 ◽  
Author(s):  
Silvio Mollo ◽  
Piergiorgio Scarlato ◽  
Gabriele Lanzafame ◽  
Carmelo Ferlito
Keyword(s):  
Lava Flow ◽  
Etna Volcano ◽  
Mt Etna ◽  
Isotopic Variations

scholarly journals Clustering activity at Mt Etna based on volcanic tremor: A case study

2021 ◽  
Author(s):  
Giuseppe Nunnari
Keyword(s):  
Machine Learning ◽  
Volcanic Activity ◽  
Roc Curve ◽  
Volcanic Tremor ◽  
Machine Learning Algorithms ◽  
Etna Volcano ◽  
Mt Etna ◽  
Geophysical Signal

AbstractThis paper deals with the classification of volcanic activity into three classes, referred to as Quite, Strombolian and Paroxysm. The main purpose is to give a measure of the reliability with which such a classification, typically carried out by experts, can be performed by Machine Learning algorithms, by using the volcanic tremor as a feature. Both supervised and unsupervised methods are considered. It is experimentally shown that at least the Paroxysm activity can be reliably classified. Performances are rigorously assessed, in comparison with the classification made by expert volcanologists, in terms of popular indices such as the f1-score and the Area under the ROC curve (AuC). The work is basically a case study carried out on a dataset recorded in the area of the Mt Etna volcano. However, as volcanic tremor is a geophysical signal widely available, considered methods and strategies can be easily applied to similar volcanic areas.

scholarly journals Multifractality in local geomagnetic field at Etna volcano, Sicily (southern Italy)

2005 ◽  
Vol 5 (4) ◽  
pp. 555-559 ◽  
Author(s):  
G. Currenti ◽  
C. del Negro ◽  
V. Lapenna ◽  
L. Telesca
Keyword(s):  
Geomagnetic Field ◽  
Southern Italy ◽  
Complex Dynamics ◽  
Fluctuation Analysis ◽  
Etna Volcano ◽  
Multifractal Detrended Fluctuation Analysis ◽  
Nonstationary Signals ◽  
Eruptive Event ◽  
Mt Etna ◽  
Detrended Fluctuation

Abstract. We applied the Multifractal Detrended Fluctuation Analysis (MF-DFA), which allows to detect multifractality in nonstationary signals, to the hourly means of local geomagnetic field recorded at Mt. Etna volcano (southern Italy). We studied the signal measured at one geomagnetic station, installed at the summit of volcano, which was characterized by a strong eruption on 27 October 2002. We analyzed two frames of signals, one measured before the eruption and the other after, in order to evaluate dynamical changes induced by the eruptive event. Our findings show that: i) the geomagnetic time series is multifractal; ii) the multifractal degree of the signal decreases after the occurrence of eruption. This study aims to propose another approach to investigate the complex dynamics of volcano-related geomagnetic field.

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