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Monitoring underwater volcano degassing using fiber-optic sensing.
Caudron, Corentin; Miao, Yaolin; Spica, Zack J; Wollin, Christopher; Haberland, Christian; Jousset, Philippe; Yates, Alexander; Vandemeulebrouck, Jean; Schmidt, Bernd; Krawczyk, Charlotte; Dahm, Torsten.
Afiliação
  • Caudron C; Laboratoire G-Time, Department of Geosciences, Environment, and Society, Université Libre de Bruxelles, Brussels, Belgium.
  • Miao Y; Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, MI, USA.
  • Spica ZJ; Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, MI, USA. zspica@umich.edu.
  • Wollin C; GFZ German Research Centre for Geosciences, Potsdam, Deutschland, Germany.
  • Haberland C; GFZ German Research Centre for Geosciences, Potsdam, Deutschland, Germany.
  • Jousset P; GFZ German Research Centre for Geosciences, Potsdam, Deutschland, Germany.
  • Yates A; Laboratoire G-Time, Department of Geosciences, Environment, and Society, Université Libre de Bruxelles, Brussels, Belgium.
  • Vandemeulebrouck J; ISTerre, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, IFSTTAR, 38000, Grenoble, France.
  • Schmidt B; ISTerre, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, IFSTTAR, 38000, Grenoble, France.
  • Krawczyk C; Landesamt für Geologie und Bergbau, Mainz, Germany.
  • Dahm T; GFZ German Research Centre for Geosciences, Potsdam, Deutschland, Germany.
Sci Rep ; 14(1): 3128, 2024 Feb 07.
Article em En | MEDLINE | ID: mdl-38326378
ABSTRACT
Continuous monitoring of volcanic gas emissions is crucial for understanding volcanic activity and potential eruptions. However, emissions of volcanic gases underwater are infrequently studied or quantified. This study explores the potential of Distributed Acoustic Sensing (DAS) technology to monitor underwater volcanic degassing. DAS converts fiber-optic cables into high-resolution vibration recording arrays, providing measurements at unprecedented spatio-temporal resolution. We conducted an experiment at Laacher See volcano in Germany, immersing a fiber-optic cable in the lake and interrogating it with a DAS system. We detected and analyzed numerous acoustic signals that we associated with bubble emissions in different lake areas. Three types of text-book bubbles exhibiting characteristic waveforms are all found from our detections, indicating different nucleation processes and bubble sizes. Using clustering algorithms, we classified bubble events into four distinct clusters based on their temporal and spectral characteristics. The temporal distribution of the events provided insights into the evolution of gas seepage patterns. This technology has the potential to revolutionize underwater degassing monitoring and provide valuable information for studying volcanic processes and estimating gas emissions. Furthermore, DAS can be applied to other applications, such as monitoring underwater carbon capture and storage operations or methane leaks associated with climate change.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Bélgica

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Bélgica