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  • 1
    Publication Date: 2017-04-04
    Description: Data mining tools were tested within the WP 5 - Task 5.1 “Characterization of the threatening phenomena from space and ground” of the European MEDiterrranean Supersite Volcanoes (MED­SUV) project to tackle various classification and pattern recognition problems. These methods were successfully exploited for the identification of impending volcanic activity at Mt. Etna (Italy). Benefiting from the positive experiences acquired, we explored the application of one of these tools to seismic data recorded at Piton de la Fournaise (La Réunion) volcano, which the WP 7 “Pilot Phase - Validation and transfer of project outcome” of MED-SUV identified as ideal test site for the validation of innovative concepts for early-warning purposes. Our case study analyzes the time span from 2014 to 2015, during which episodes of lava fountains and lava flows occurred at the Dolomieu Crater. Their duration ranged from a few hours to about two months. For this application, we processed two years of continuous seismic data, providing a specific tuning of the software. We present our preliminary results considering the frequency content of the background seismic radiation at the broadband 3C station RVL, which was located close to the base of the Dolomieu cone and to the eruptive centers. Results of pattern classification applied to seismic data recorded during eruptive episodes at Mt. Etna are also presented for comparison.
    Description: Published
    Description: Rome (Italy)
    Description: 2V. Dinamiche di unrest e scenari pre-eruttivi
    Description: open
    Keywords: Pattern classification ; seismic data ; Piton de la Fournaise ; 04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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  • 2
    Publication Date: 2017-04-04
    Description: In the framework of the European MEDiterrranean Supersite Volcanoes (MEDSUV) project, Mt. Etna (Italy) and Piton de la Fournaise (La Réunion) were chosen as “European Supersite Demonstrator” and test site, respectively, to promote the transfer and implementation of efficient tools for the identification of impending volcanic activity. Both are “open-conduit volcanoes”, forming ideal sites for the test and validation of innovative concepts, which can contribute to minimize volcanic hazard. OneoftheaimsoftheMED-SUVprojectwasthedevelopmentofsoftwareformachinelearningapplicabletodata processing for early-warning purposes. Near-real time classification of continuous seismic data stream has been carried out in the control room of INGV Osservatorio Etneo since 2010. Subsequently, automatic alert procedures were activated. In the light of the excellent results for the 24/7 surveillance of Etna, we examine the portability of tools developed in the framework of the project when applied to seismic data recorded at Piton de la Fournaise. In the present application to data recorded at Piton de la Fournaise, the classifier aims at highlighting changes in the frequency content of the background seismic signal heralding the activation of the volcanic source and the imminent eruption. We describe the preliminary results of this test on a set of data of nearly two years starting on January 2014. This period follows three years of inactivity and deflation of the volcano and marks a renewal of thevolcanoactivity withinflation,deep seismicity (-7kmbsl) andfive eruptions with fountains and lava flowsthat lasted from a few hours to more than two months. We discuss here the necessary tuning for the implementation of the software to the new dataset analyzed. We also propose a comparison with the results of pattern classification regarding recent eruptive activity at Etna.
    Description: Published
    Description: Vienna (Austria)
    Description: 2V. Dinamiche di unrest e scenari pre-eruttivi
    Description: open
    Keywords: seismic signals ; Piton de la Fournaise ; Etna ; data processing ; 04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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  • 3
    Publication Date: 2022-06-13
    Description: Detecting renewal of volcanic activity is a challenging task and even more difficult in tropical settings. Continuous measurements of soil CO2 flux were carried out at the Piton de la Fournaise volcano during 2013–2016. Since this site is in the tropics, periods of heavy rainfall are in the norm. Measurements covered volcanic unrest after a hiatus of 3.5 years. We find that while temperature has the strongest effect, extreme rainfall causes short-term noise. When corrected and filtered from the environmental influence, soil CO2 time series permit to detect a major deep magmatic event during March–April 2014, 3 months before the first eruption of the new activity phase. Correlation with geophysical data sets allows timing of further stages ofupwardfluidascent.OurstudyvalidatessoilCO2fluxmonitoringintropicalenvironmentsasavaluabletoolto monitor magma transfer and to enhance understanding of volcano unrest down to the lithospheric mantle.
    Description: Published
    Description: 8244 – 8253
    Description: 4V. Dinamica dei processi pre-eruttivi
    Description: 5V. Dinamica dei processi eruttivi e post-eruttivi
    Description: 6V. Pericolosità vulcanica e contributi alla stima del rischio
    Description: JCR Journal
    Keywords: 04.08. Volcanology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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