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Dataset Information

Fibre optic distributed acoustic sensing of volcanic events.


ABSTRACT: Understanding physical processes prior to and during volcanic eruptions has improved significantly in recent years. However, uncertainties about subsurface structures distorting observed signals and undetected processes within the volcano prevent volcanologists to infer subtle triggering mechanisms of volcanic phenomena. Here, we demonstrate that distributed acoustic sensing (DAS) with optical fibres allows us to identify volcanic events remotely and image hidden near-surface volcanic structural features. We detect and characterize strain signals associated with explosions and locate their origin using a 2D-template matching between picked and theoretical wave arrival times. We find evidence for non-linear grain interactions in a scoria layer of spatially variable thickness. We demonstrate

SUBMITTER: Jousset P 

PROVIDER: S-EPMC8971480 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature