Evidence map›Paper›PMID 38326378›Full record

ArticleScientific reports2024

Monitoring underwater volcano degassing using fiber-optic sensing.

Corentin Caudron, Yaolin Miao, Zack J Spica, Christopher Wollin, Christian Haberland, Philippe Jousset, Alexander Yates, Jean Vandemeulebrouck, Bernd Schmidt, Charlotte Krawczyk and 1 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 4 countries.

Corentin Caudron *Laboratoire G-Time, Department of Geosciences, Environment, and Society, Université Libre de Bruxelles, Brussels, Belgium.
Yaolin Miao *Department of Earth and Environmental Sciences, University of Michigan, Ann Arbor, MI, USA.
Zack J SpicaDepartment of Earth and Environmental Sciences, University of Michigan, Ann Arbor, MI, USA. zspica@umich.edu.
Christopher WollinGFZ German Research Centre for Geosciences, Potsdam, Deutschland, Germany.
Christian HaberlandGFZ German Research Centre for Geosciences, Potsdam, Deutschland, Germany.
Philippe JoussetGFZ German Research Centre for Geosciences, Potsdam, Deutschland, Germany.
Alexander YatesLaboratoire G-Time, Department of Geosciences, Environment, and Society, Université Libre de Bruxelles, Brussels, Belgium.
Jean VandemeulebrouckISTerre, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, IRD, IFSTTAR, 38000, Grenoble, France.
Bernd SchmidtLandesamt für Geologie und Bergbau, Mainz, Germany.
Charlotte KrawczykGFZ German Research Centre for Geosciences, Potsdam, Deutschland, Germany.
Torsten DahmGFZ German Research Centre for Geosciences, Potsdam, Deutschland, Germany.
Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences · DEUniversity of Michigan–Ann Arbor · USInstitut de Recherche pour le Développement · FRInstitut des Sciences de la Terre · FRLandesamt für Bergbau, Energie und Geologie · DEUniversité Libre de Bruxelles · BE

Funding

DoD FA9453-21-2-0018NSF EAR2022716
6 · The paper itself

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.

Identifiers

PMID38326378
PMCPMC10850492
OpenAlexW4391604021

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.