Evidence map›Paper›PMID 41291069›Full record

ArticleScientific reports2025

Azimuthal sensitivity and spatio-temporal decimation of data from distributed acoustic sensing on submarine cables for offshore earthquake early warning systems.

Jack Lee Smith, Mohammad Belal, Karen Lythgoe, Carl Spingys, Jennifer Ward Neale, Davide Embriaco, Andrew Curtis

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Jack Lee SmithSchool of Geosciences, University of Edinburgh, Edinburgh, UK. Jack.L.Smith@ed.ac.uk.
Mohammad BelalNational Oceanography Centre, Southampton, UK.
Karen LythgoeSchool of Geosciences, University of Edinburgh, Edinburgh, UK.
Carl SpingysNational Oceanography Centre, Southampton, UK.
Jennifer Ward NealeNational Oceanography Centre, Southampton, UK.
Davide EmbriacoIstituto Nazionale di Geofisica e Vulcanologia (INGV), Rome, Italy.
Andrew CurtisSchool of Geosciences, University of Edinburgh, Edinburgh, UK.

Funding

EMSO ERIC Physical Access Programme EE-PA_202306_01Natural Environment Research Council EP/W524384/1Natural Environment Research Council NE/Z000408/1; NE/Y003365/1; NE/Y005589/1
6 · The paper itself

Abstract

Offshore earthquakes can cause widespread destruction due to directly propagating seismic vibrations and/or the generation of tsunamis. Early warning of offshore earthquakes is vital, but their location complicates identification of clear early warning (EW) signatures. Distributed acoustic sensing (DAS), applied to offshore fibre-optic cables offers the prospect to improve early warning of offshore events. We use a DAS dataset acquired from a 30 km submarine cable spanning a complex bathymetry, offshore Sicily, to contribute to a proof-of-concept using five regional earthquakes to investigate factors impacting incident body wave detection capabilities. We demonstrate observations for P- and S-waves incident parallel and perpendicular to the cable, and that cable coupling to the surrounding medium exerts far more control on signal quality than incidence azimuth. Compared to the nearest land station, an EW signal for a Mw5.8 earthquake was triggered 1.59 seconds earlier using P-wave arrivals on the fibre, and 3.89 seconds earlier using S-waves. We show that effective warnings can be made despite spatially decimating data by factors of 10 and 100 for P-waves and S-waves, respectively. This data volume reduction allows DAS on legacy seafloor cables to be integrated with EW systems for offshore earthquakes and other geohazards which threaten coastal populations.

Indexed as

Angular resolutionBody wavesDistributed acoustic sensingEarly warningEarthquakes

Identifiers

PMID41291069
PMCPMC12765012

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.