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  • 1
    Publication Date: 2017-04-04
    Description: A system for automatic recognition of different volcanic activity regimes based on supervised classification of volcanic tremor is proposed. Spectrograms are calculated from volcanic tremor time-series, separated into four classes, each assumed as representative of a different state of volcanic activity, i.e., pre-eruptive, eruptive, lava fountains, and post-eruptive. As classification features, the spectral profiles obtained by averaging each spectrogram along its rows are chosen. As supervised classification strategy, the Support Vector Machine (SVM) classifier is adopted. Evaluation of the system performance is carried out on volcanic tremor data recorded at Mt Etna during the eruptive episodes of July-August 2001. The leave-one-out classification accuracy achieved is of about 94%.
    Description: Published
    Description: 67-75
    Description: 1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attive
    Description: open
    Keywords: Support Vector Machine ; automatic classification ; volcanic tremor ; Etna ; 04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 2
    Publication Date: 2017-04-04
    Description: By 30 December, 2002 a flank collapse affected the Sciara del Fuoco on the western slope of Stromboli volcano, Italy. To characterize this landslide-prone area for hazard mitigation purposes, Falsaperla et al. [2006] followed a multidisciplinary approach, merging geo-structural observations with visual images (taken by a video-camera surveillance network and vertical ortho-photos) and seismic data recorded throughout the continuous monitoring of the volcano. The study combined these different data types in a complementary framework to assess how and where the Sciara del Fuoco morphology changed. The time span investigated ranged from 2002 to 2004. We present here the results of that study, which identified the zones affected by sliding episodes and highlighted their changes in time. The evidence of the regression of the upper landslide scarp toward the summit craters over the years leads us to speculate about precursory patterns of eruptive activity linked to the progression of flank instability.
    Description: Published
    Description: 57-65
    Description: open
    Keywords: Stromboli ; flank instability ; seismic monitoring ; visual monitoring ; 04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 3
    Publication Date: 2017-04-04
    Description: A 3D grid search method for the location of the volcanic tremor source was applied to data recorded at Mt. Etna in 2004 [Di Grazia et al., 2006]. The aim of that application was to highlight changes in time and space of the location of the tremor source, heralding the onset of a lava emission on 7 September, 2004. The time span investigated ranged from January to November 2004. The method exploits the amplitude decay of the seismic signal recorded at permanent stations used for monitoring purposes. Consequently, it does not require any additional set up of temporary, mobile stations. We present here the results of that application, which was followed in the autumn of 2006 by the successful implementation of the method we named TREMLOC, as an automated and continuous near real time analysis for the location of volcanic tremor at the Istituto Nazionale di Geofisica e Vulcanologia (INGV) - Sezione di Catania.
    Description: Published
    Description: 49-56
    Description: 1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attive
    Description: open
    Keywords: Etna ; volcanic tremor ; monitoring ; source location ; 04. Solid Earth::04.06. Seismology::04.06.08. Volcano seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: book chapter
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  • 4
    Publication Date: 2017-04-04
    Description: Mt Etna is among the best monitored basaltic volcano worldwide. High-quality, multidisciplinary data set are continuously available for around-the-clock surveillance. Seismic data sets cover decades long local recordings, obtained during different regimes of eruptive activity, from Strombolian eruptions to lava fountains and lava flows. Earthquakes swarms have often heralded effusive activity. However, volcanic tremor – the persistently radiated signal by the volcano - has proved to be a key indicator of impending eruptive activity. Changes in the volcano feeder show up in the signature of tremor, its spectral characteristics and source location. We apply a recently developed software for the analysis of volcanic tremor, combining Kohonen Maps along with Cluster and Fuzzy Analysis, in order to identify transitions from pre-eruptive to eruptive activity. Throughout the analysis of the data flow, the software provides an unsupervised classification of the spectral characteristics (i.e., amplitude and frequency content) of the signal, which is interpreted in the context of a specific state of the volcano. We present an application on the eruptive events occurred during the 2007-2009 time period, encompassing 7 episodes of lava fountaining, periodic Strombolian activity at the summit craters, and a lava emission on the upper east flank of the volcano, which started on 13 May 2008 and ended on 6 July 2009. In this time span the source of volcanic tremor was always shallow (less than 3 km), i. e., within the volcano edifice. From the analysis we conclude that the upraise of magma to the surface was fast, taking several hours to a few minutes. We discuss the possible reasons of such variability in the light of the characteristics of the overall seismicity preceding the eruptions in the study period, taking into account field observations and rheology of the ascending magma as well.
    Description: Published
    Description: Vienna, Austria
    Description: 1.4. TTC - Sorveglianza sismologica delle aree vulcaniche attive
    Description: open
    Keywords: Volcanic Tremor Data ; Unsupervised Classification ; Mt. Etna ; 04. Solid Earth::04.08. Volcanology::04.08.06. Volcano monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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