[S-SS02] Seismological advances in the ocean

[SSS02-01] On the Detection Capabilities of Underwater Distributed Acoustic Sensing

★Invited Papers

*Itzhak Lior¹, Anthony Sladen¹, Diane Rivet¹, Jean-Paul Ampuero¹, Yann Hello¹, Carlos Becerril^1,2, Hugo Fidalgo Martins³, Patrick Lamare⁴, Camille Jestin⁵, Stavroula Tsagkli⁶, Christos Markou⁶ (1.Universite Cote d Azur, CNRS, Observatoire de la Cote d Azur, IRD, Geoazur, France, 2.Department of Electronics, University of Alcalá, Alcalá de Henares 28805, Spain, 3.Instituto de Óptica, CSIC, 28006 Madrid, Spain, 4.Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France, 5.Febus-optics, Pau, France, 6.NCSR Demokritos, Institute of Nuclear and Particle Physics, Ag. Paraskevi Attikis, Athens, Greece)

Keywords:Earthquake seismology, Distributed Acoustic Sensing, Ocean-bottom seismology

The novel technique of distributed acoustic sensing (DAS) holds great potential for underwater seismology by transforming standard telecommunication cables, such as those currently traversing various regions of the world's oceans, into dense arrays of seismo-acoustic sensors. To harness these measurements for seismic monitoring, the ability to record transient ground deformations is investigated by analyzing ambient noise, earthquakes, and their associated phase velocities, on DAS records from three dark fibers in the Mediterranean Sea. Recording quality varies dramatically along the fibers and is strongly correlated with the bathymetry and the apparent phase velocities of recorded waves. Apparent velocities are determined for several well-recorded earthquakes and used to convert DAS S-wave strain spectra to ground motion spectra. Excellent agreement is found between the spectra of nearby underwater and on-land seismometers and DAS converted spectra, when the latter are corrected for site effects. Apparent velocities greatly affect the ability to detect seismic deformations: for the same ground motions, slower waves induce higher strains and thus are more favorably detected than fast waves. The effect of apparent velocity on the ability to detect seismic phases, quantified by expected signal-to-noise ratios, is investigated by comparing signal amplitudes predicted by an earthquake model to recorded noise levels. DAS detection capabilities on underwater fibers are found to be similar to those of nearby broadband sensors, and superior to those of on-land fiber segments, owing to lower velocities at the ocean-bottom. The results demonstrate the great potential of underwater DAS for seismic monitoring and earthquake early warning.