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  Monitoring underwater volcano degassing using fiber-optic sensing

Caudron, C., Miao, Y., Spica, Z. J., Wollin, C., Haberland, C., Jousset, P., Yates, A., Vandemeulebrouck, J., Schmidt, B., Krawczyk, C., Dahm, T. (2024): Monitoring underwater volcano degassing using fiber-optic sensing. - Scientific Reports, 14, 3128.
https://doi.org/10.1038/s41598-024-53444-y

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Caudron, Corentin1, Autor
Miao, Yaolin1, Autor
Spica, Zack J.1, Autor
Wollin, Christopher2, Autor              
Haberland, C.2, Autor              
Jousset, P.2, Autor              
Yates, Alexander1, Autor
Vandemeulebrouck, Jean1, Autor
Schmidt, Bernd1, Autor
Krawczyk, C.M.2, Autor              
Dahm, T.3, Autor              
Affiliations:
1External Organizations, ou_persistent22              
22.2 Geophysical Imaging of the Subsurface, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_66027              
32.1 Physics of Earthquakes and Volcanoes, 2.0 Geophysics, Departments, GFZ Publication Database, Deutsches GeoForschungsZentrum, ou_146029              

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 Zusammenfassung: 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.

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 Datum: 2024-02-072024
 Publikationsstatus: Final veröffentlicht
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 Identifikatoren: DOI: 10.1038/s41598-024-53444-y
GFZPOF: p4 T3 Restless Earth
GFZPOFWEITERE: p4 MESI
OATYPE: Gold Open Access
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Titel: Scientific Reports
Genre der Quelle: Zeitschrift, SCI, Scopus, OA
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Seiten: - Band / Heft: 14 Artikelnummer: 3128 Start- / Endseite: - Identifikator: CoNE: https://gfzpublic.gfz-potsdam.de/cone/journals/resource/journals2_395
Publisher: Springer Nature