Artificial intelligence in Volcanology
Il mistero che circonda i serbatoi magmatici dei vulcani è stato a lungo una questione irrisolta nel campo della vulcanologia. Capire dove si trovano questi serbatoi è vitale per prevedere eruzioni future e la loro potenziale intensità. Un gruppo di ricercatori dell’Università di Firenze ha fatto un passo significativo in questa direzione, sviluppando una applicazione basata su artificial intelligence, chiamata GAIA (Geo Artificial Intelligence thermobArometry), che è in grado di predire la profondità dei serbatoi magmatici.
The Importance of Understanding the Depth of Magmatic Reservoirs
According to Simone Tommasini, professor of Petrology and Petrography at the University of Florence and coordinator of the research team, the depth of the magmatic reservoirs is a crucial variable for assessing the danger of a volcano. These reservoirs are pressure and temperature resonators, and their position may change over time. However, obtaining this information directly from underground is extremely difficult and requires new investigation methods.
GAIA: A Breakthrough in Volcano Analysis
GAIA è uno strumento di analisi avanzato che utilizza artificial intelligence e dati sulla composizione chimica dei minerali chiamati clinopirosseni, comunemente trovati nelle rocce vulcaniche. Attraverso questa analisi, GAIA è in grado di determinare pressione e temperatura, e quindi la profondità, delle camere magmatiche da cui questi minerali provengono. Questo strumento rappresenta un avanzamento significativo rispetto ai tradizionali metodi di analisi utilizzati in vulcanologia.
Methodology and Data Verification
Lorenzo Chicchi, doctoral student in the Department of Physics and Astronomy at the University of Florence and first signatory of the article in the journal Earth and Planetary Science Letters, explained that the methodology behind GAIA was developed in two phases. Initially, the system was trained on a part of the existing database and then its predictive accuracy was tested on the rest of the dataset. The result? GAIA has outperformed traditional analysis methods in accuracy.
Practical Application: Studies on Five Italian Volcanoes
GAIA was applied to the study of five active Italian volcanoes: Etna, Stromboli, Vesuvius, Vulcano and Campi Flegrei. The results were extraordinary, revealing details about the structure of the magma reservoirs of these volcanoes throughout their entire eruptive history.
Future Prospects and Security Implications
Professors Duccio Fanelli and Luca Bindi, from the Department of Physics of Matter and Mineralogy at the University of Florence, conclude with optimism. They hope that GAIA, being a free-to-use application, will become an essential working tool in the field of volcanology. The tool could help collect robust data that will be useful for assessing risks associated with volcanic eruptions, doing a great service to the scientific community and society as a whole.
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