0000000000414262

AUTHOR

Claudia Corradino

0000-0003-3054-6840

showing 3 related works from this author

Classifying Major Explosions and Paroxysms at Stromboli Volcano (Italy) from Space

2021

Stromboli volcano has a persistent activity that is almost exclusively explosive. Predominated by low intensity events, this activity is occasionally interspersed with more powerful episodes, known as major explosions and paroxysms, which represent the main hazards for the inhabitants of the island. Here, we propose a machine learning approach to distinguish between paroxysms and major explosions by using satellite-derived measurements. We investigated the high energy explosive events occurring in the period January 2018–April 2021. Three distinguishing features are taken into account, namely (i) the temporal variations of surface temperature over the summit area, (ii) the magnitude of the …

High energygeographygeography.geographical_feature_categorysatellite remote sensingExplosive materialLand surface temperaturemachine learning classifierScienceQPlume heightoptical imageryMagnitude (mathematics)volcanic explosionsPlumeVolcanoGeneral Earth and Planetary Sciencesradar imageryvolcanic explosions; satellite remote sensing; machine learning classifier; optical imagery; radar imagerySeismologyGeologyVolcanic ashRemote Sensing
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Overview of the JET results in support to ITER

2017

The 2014–2016 JET results are reviewed in the light of their significance for optimising the ITER research plan for the active and non-active operation. More than 60 h of plasma operation with ITER first wall materials successfully took place since its installation in 2011. New multi-machine scaling of the type I-ELM divertor energy flux density to ITER is supported by first principle modelling. ITER relevant disruption experiments and first principle modelling are reported with a set of three disruption mitigation valves mimicking the ITER setup. Insights of the L–H power threshold in Deuterium and Hydrogen are given, stressing the importance of the magnetic configurations and the recent m…

Technologyfusion:Física [Ciências exactas e naturais]TokamakNuclear engineeringDIAGNOSTICS01 natural sciencesILW010305 fluids & plasmaslaw.inventionIlw[SPI.MECA.MEFL]Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]PlasmaH-Mode PlasmaslawITERDisruption PredictionCOLLISIONALITYEDGE LOCALIZED MODESDiagnosticsOperationfusion; ITER; JET; plasma; Nuclear and High Energy Physics; Condensed Matter PhysicsPhysicsJet (fluid)JET plasma fusion ITERDivertorSettore FIS/01 - Fisica SperimentaleCondensed Matter PhysicsFusion Plasma and Space PhysicsDENSITY PEAKINGCarbon WallH-MODE PLASMAS[ SPI.MECA.MEFL ] Engineering Sciences [physics]/Mechanics [physics.med-ph]/Fluids mechanics [physics.class-ph]Density PeakingNuclear and High Energy PhysicsNeutron transportFacing ComponentsCollisionality114 Physical sciencesFísica FísicaNuclear physics:Physical sciences [Natural sciences]Fusion plasma och rymdfysikPedestal0103 physical sciencesNuclear fusionddc:530Neutron010306 general physicsFusionplasmaPhysics Physical sciencesNuclear and High Energy PhysicEdge Localized ModesQC717:Física [Àrees temàtiques de la UPC]Reactors de fusióFísicaFACING COMPONENTSFusion reactorsJetJETCARBON WALLDISRUPTION PREDICTIONOPERATIONddc:600Collisionality
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Mapping lava flows at Etna Volcano using Google Earth Engine, open-access satellite data, and machine learning

2021

Estimating eruptive parameters is fundamental to assess the volcanic hazards posed to the community living at the edge of active volcanoes. Here, we analyzed satellite remote sensing data by using machine learning unsupervised and supervised techniques and analytical approaches, i.e., mathematical-physics and statistics formulations, to map lava flows emitted during the long sequences of short-lived, violent eruptions occurred at Etna volcano between December 2020 and March 2021. Satellite observations allowed to follow the evolution of eruptions thanks to their capability to survey large areas with frequent revisit time and accurate spatial resolution. We quantified the areal coverage of l…

geographyVolcanic hazardsgeography.geographical_feature_categoryLearning classifier systembusiness.industryLavaMachine learningcomputer.software_genrelaw.inventionEtna volcanoVolcanolawSatelliteArtificial intelligenceRadarbusinesscomputerImage resolutionGeology2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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