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Forecasting Etna eruptions by real-time observation of volcanic gas composition

2007; Geological Society of America; Volume: 35; Issue: 12 Linguagem: Inglês

10.1130/g24149a.1

1943-2682

Alessandro Aiuppa, Roberto Moretti, Cinzia Federico, Gaetano Giudice, Sergio Gurrieri, Marco Liuzzo, Paolo Papale, Hiroshi Shinohara, M. Valenza,

Atmospheric and Environmental Gas Dynamics

Research Article| December 01, 2007 Forecasting Etna eruptions by real-time observation of volcanic gas composition Alessandro Aiuppa; Alessandro Aiuppa 1Dipartimento CFTA, Università di Palermo, Via Archirafi 36, 90123 Palermo, and Istituto Nazionale di Geofisica e Vulcanologia, sezione di Palermo, Via La Malfa 153, 90146 Palermo, Italy Search for other works by this author on: GSW Google Scholar Roberto Moretti; Roberto Moretti 2Istituto Nazionale di Geofisica e Vulcanologia, sezione Osservatorio Vesuviano, Via Diocleziano 328, 80124 Napoli, Italy Search for other works by this author on: GSW Google Scholar Cinzia Federico; Cinzia Federico 3Istituto Nazionale di Geofisica e Vulcanologia, sezione di Palermo, Via La Malfa 153, 90146 Palermo, Italy Search for other works by this author on: GSW Google Scholar Gaetano Giudice; Gaetano Giudice 3Istituto Nazionale di Geofisica e Vulcanologia, sezione di Palermo, Via La Malfa 153, 90146 Palermo, Italy Search for other works by this author on: GSW Google Scholar Sergio Gurrieri; Sergio Gurrieri 3Istituto Nazionale di Geofisica e Vulcanologia, sezione di Palermo, Via La Malfa 153, 90146 Palermo, Italy Search for other works by this author on: GSW Google Scholar Marco Liuzzo; Marco Liuzzo 3Istituto Nazionale di Geofisica e Vulcanologia, sezione di Palermo, Via La Malfa 153, 90146 Palermo, Italy Search for other works by this author on: GSW Google Scholar Paolo Papale; Paolo Papale 4Istituto Nazionale di Geofisica e Vulcanologia–Sezione di Pisa, Via della Faggiola 32, 56123 Pisa, Italy Search for other works by this author on: GSW Google Scholar Hiroshi Shinohara; Hiroshi Shinohara 5National Institute of Advanced Industrial Science and Technology, Geological Survey of Japan, 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8567, Japan Search for other works by this author on: GSW Google Scholar Mariano Valenza Mariano Valenza 6Dipartimento CFTA, Università di Palermo, Via Archirafi36, 90123 Palermo, Italy Search for other works by this author on: GSW Google Scholar Geology (2007) 35 (12): 1115–1118. https://doi.org/10.1130/G24149A.1 Article history received: 06 Jun 2007 rev-recd: 01 Aug 2007 accepted: 03 Aug 2007 first online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share MailTo Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Alessandro Aiuppa, Roberto Moretti, Cinzia Federico, Gaetano Giudice, Sergio Gurrieri, Marco Liuzzo, Paolo Papale, Hiroshi Shinohara, Mariano Valenza; Forecasting Etna eruptions by real-time observation of volcanic gas composition. Geology 2007;; 35 (12): 1115–1118. doi: https://doi.org/10.1130/G24149A.1 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyGeology Search Advanced Search Abstract It is generally accepted, but not experimentally proven, that a quantitative prediction of volcanic eruptions is possible from the evaluation of volcanic gas data. By discussing the results of two years of real-time observation of H2O, CO2, and SO2 in volcanic gases from Mount Etna volcano, we unambiguously demonstrate that increasing CO2/SO2 ratios can allow detection of the pre-eruptive degassing of rising magmas. Quantitative modeling by the use of a saturation model allows us to relate the pre-eruptive increases of the CO2/SO2 ratio to the refilling of Etna's shallow conduits with CO2-rich deep-reservoir magmas, leading to pressurization and triggering of eruption. The advent of real-time observations of H2O, CO2, and SO2, combined with well-constrained models of degassing, represents a step forward in eruption forecasting. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.