Next Article in Journal
Three-Dimensional Convolutional Neural Network Model for Early Detection of Pine Wilt Disease Using UAV-Based Hyperspectral Images
Next Article in Special Issue
Effusion Rates on Mt. Etna and Their Influence on Lava Flow Hazard Assessment
Previous Article in Journal
Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades
Article

The 2019 Eruptive Activity at Stromboli Volcano: A Multidisciplinary Approach to Reveal Hidden Features of the “Unexpected” 3 July Paroxysm

1
Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, 95125 Catania, Italy
2
Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Vesuviano, 80124 Napoli, Italy
3
Dipartimento di Fisica, Università di Salerno, 84084 Fisciano, Italy
4
Dipartimento di Scienze Biologiche Geologiche e Ambientali, Università degli Studi di Catania, 2-95131 Catania, Italy
*
Author to whom correspondence should be addressed.
Academic Editor: David Gomez-Ortiz
Remote Sens. 2021, 13(20), 4064; https://doi.org/10.3390/rs13204064
Received: 8 September 2021 / Revised: 30 September 2021 / Accepted: 5 October 2021 / Published: 11 October 2021
(This article belongs to the Special Issue Assessment and Prediction of Volcano Hazard Using Remote Sensing)
In July and August 2019, Stromboli volcano underwent two dangerous paroxysms previously considered “unexpected” because of the absence of significant changes in usually monitored parameters. We applied a multidisciplinary approach to search for signals able to indicate the possibility of larger explosive activity and to devise a model to explain the observed variations. We analysed geodetic data, satellite thermal data, images from remote cameras and seismic data in a timespan crossing the eruptive period of 2019 to identify precursors of the two paroxysms on a medium-term time span (months) and to perform an in-depth analysis of the signals recorded on a short time scale (hours, minutes) before the paroxysm. We developed a model that explains the observations. We call the model “push and go” where the uppermost feeding system of Stromboli is made up of a lower section occupied by a low viscosity, low density magma that is largely composed of gases and a shallower section occupied by the accumulated melt. We hypothesize that the paroxysms are triggered when an overpressure in the lower section is built up; the explosion will occur at the very moment such overpressure overcomes the confining pressure of the highly viscous magma above it. View Full-Text
Keywords: Stromboli volcano; ground deformations; thermal monitoring; modelling of volcanic sources; physics of volcanism; geophysical monitoring Stromboli volcano; ground deformations; thermal monitoring; modelling of volcanic sources; physics of volcanism; geophysical monitoring
Show Figures

Figure 1

MDPI and ACS Style

Mattia, M.; Di Lieto, B.; Ganci, G.; Bruno, V.; Romano, P.; Ciancitto, F.; De Martino, P.; Gambino, S.; Aloisi, M.; Sciotto, M.; Scarpa, R.; Ferlito, C. The 2019 Eruptive Activity at Stromboli Volcano: A Multidisciplinary Approach to Reveal Hidden Features of the “Unexpected” 3 July Paroxysm. Remote Sens. 2021, 13, 4064. https://doi.org/10.3390/rs13204064

AMA Style

Mattia M, Di Lieto B, Ganci G, Bruno V, Romano P, Ciancitto F, De Martino P, Gambino S, Aloisi M, Sciotto M, Scarpa R, Ferlito C. The 2019 Eruptive Activity at Stromboli Volcano: A Multidisciplinary Approach to Reveal Hidden Features of the “Unexpected” 3 July Paroxysm. Remote Sensing. 2021; 13(20):4064. https://doi.org/10.3390/rs13204064

Chicago/Turabian Style

Mattia, Mario, Bellina Di Lieto, Gaetana Ganci, Valentina Bruno, Pierdomenico Romano, Francesco Ciancitto, Prospero De Martino, Salvatore Gambino, Marco Aloisi, Mariangela Sciotto, Roberto Scarpa, and Carmelo Ferlito. 2021. "The 2019 Eruptive Activity at Stromboli Volcano: A Multidisciplinary Approach to Reveal Hidden Features of the “Unexpected” 3 July Paroxysm" Remote Sensing 13, no. 20: 4064. https://doi.org/10.3390/rs13204064

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop