The First Network of Ocean Bottom Seismometers in the Red Sea to Investigate the Zabargad Fracture Zone

Author:

Parisi Laura,Augustin NicoORCID,Trippanera Daniele,Kirk Henning,Dannowski Anke,Matrau RémiORCID,Fittipaldi Margherita,Nobile AdrianoORCID,Zielke Olaf,Valero Cano Eduardo,Hoogewerf Guus,Aspiotis TheodorosORCID,Manzo-Vega Sofia,Espindola Carmona Armando,Barreto Alejandra,Juchem Marlin,Suhendi CahliORCID,Schmidt-Aursch MechitaORCID,Mai P. Martin,Jónsson SigurjónORCID

Abstract

In the last decades, the slow-spreading Red Sea rift has been the objective of several geophysical investigations to study the extension of the oceanic crust, the thickness of the sedimentary cover, and the formation of transform faults. However, local seismology datasets are still lacking despite their potential to contribute to the understanding of the tectonic evolution of the Red Sea. The Zabargad Fracture Zone is located in the Northern Red Sea and significantly offsets the rift axis to the East. Thus, it is considered a key tectonic element to understand better the formation of the Red Sea rift. To fill the gap in the dataset availability, we deployed the first passive seismic network in the Red Sea, within the Zabargad Fracture Zone. This network included 12 Lobster OBSs from the DEPAS pool, 2 OBS developed and deployed by Fugro, and 4 portable seismic land stations deployed on islands and onshore on the Saudi Arabian coast. Our data-quality analysis confirms that the head-buoy cable free to strum, as well as other additional elements of the DEPAS OBSs, generate seismic noise at frequencies $>$ 10 Hz. However, the Fugro OBSs show high-frequency disturbances even if they lack vibrating elements. Comparison between land and OBS stations reveals that noise between 1 and 10 Hz is due to ocean-generated seismic noise, and not due to resonance of the OBS elements. We also found that waveforms of teleseismic earthquakes recorded by the Fugro OBSs, islands, and onshore stations have comparable signal-to-noise ratios. Instead, differences in signal-to-noise ratio for local earthquakes are affected more by site and path effects than instrument settings.

Funder

King Abdullah University of Science and Technology

Publisher

McGill University Library and Archives

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