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DOI: 10.3390/rs14051287
¤ OpenAccess: Gold
This work has “Gold” OA status. This means it is published in an Open Access journal that is indexed by the DOAJ.

Changes in the Eruptive Style of Stromboli Volcano before the 2019 Paroxysmal Phase Discovered through SOM Clustering of Seismo-Acoustic Features Compared with Camera Images and GBInSAR Data

Flora Giudicepietro,Sonia Calvari,Luca D’Auria,Federico Di Traglia,Lukas Layer,Giovanni Macedonio,Teresa Caputo,W. De Cesare,Gaetana Ganci,M. Martini,M. Orazi,Rosario Peluso,Giovanni Scarpato,Laura Spina,Teresa Nolesini,Nicola Casagli,Anna Tramelli,Antonietta M. Esposito

Strombolian eruption
Geology
Volcano
2022
Two paroxysmal explosions occurred at Stromboli on 3 July and 28 August 2019, the first of which caused the death of a young tourist. After the first paroxysm an effusive activity began from the summit vents and affected the NW flank of the island for the entire period between the two paroxysms. We carried out an unsupervised analysis of seismic and infrasonic data of Strombolian explosions over 10 months (15 November 2018–15 September 2019) using a Self-Organizing Map (SOM) neural network to recognize changes in the eruptive patterns of Stromboli that preceded the paroxysms. We used a dataset of 14,289 events. The SOM analysis identified three main clusters that showed different occurrences with time indicating a clear change in Stromboli’s eruptive style before the paroxysm of 3 July 2019. We compared the main clusters with the recordings of the fixed monitoring cameras and with the Ground-Based Interferometric Synthetic Aperture Radar measurements, and found that the clusters are associated with different types of Strombolian explosions and different deformation patterns of the summit area. Our findings provide new insights into Strombolian eruptive mechanisms and new perspectives to improve the monitoring of Stromboli and other open conduit volcanoes.
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    Changes in the Eruptive Style of Stromboli Volcano before the 2019 Paroxysmal Phase Discovered through SOM Clustering of Seismo-Acoustic Features Compared with Camera Images and GBInSAR Data” is a paper by Flora Giudicepietro Sonia Calvari Luca D’Auria Federico Di Traglia Lukas Layer Giovanni Macedonio Teresa Caputo W. De Cesare Gaetana Ganci M. Martini M. Orazi Rosario Peluso Giovanni Scarpato Laura Spina Teresa Nolesini Nicola Casagli Anna Tramelli Antonietta M. Esposito published in 2022. It has an Open Access status of “gold”. You can read and download a PDF Full Text of this paper here.