The Contribution of DAS to the Routine Monitoring of Seismicity in Oceanic Islands: The Case for Faial (Azores)
Abstract
Distributed acoustic sensing (DAS) deployed in submarine telecom cables is bound to revolutionize the earthquake monitoring routine currently performed by seismic network operators, particularly in domains where most of seismic activity is originated offshore. In this work we analyze one year DAS data recorded on a submarine telecommunication cable joining the Islands of Faial and Flores in the Azores, an area where seismic crisis of volcano-tectonic origin are frequent. We explore whether spatially decimated channels can be added to the operation routine without major changes. During the DAS operation the land network recorded 368 local and regional earthquakes. The best of these events were jointly analyzed and earthquake parameters were compared between original locations and adding DAS picks. Despite the larger picking uncertainty on DAS channels, adding P and S or S-wave picks only from DAS data showed a considerable improvement on earthquake parameters, reducing the error ellipse area and the focal depth uncertainty. These results demonstrate that in domains where offshore seismicity is a concern and submarine telecom cables are available, integrating DAS channels into the routine operation of seismic networks considerably improve the accuracy earthquake parameter estimation. A procedure to accomplish these results is presented.
Read the paper
Related studies
- Current state and future directions for deep learning based automatic seismic fault interpretation: A systematic review
- Physics of Partially Saturated Porous Media: Residual Saturation and Seismic-Wave Propagation
- Modern Imaging Using Seismic Reflection Data
- Effects of marine seismic surveys on free-ranging fauna: a systematic literature review
- A review of the recent seismic activity in the southern part of egypt (upper egypt)
- A review of research on mechanism of seismic attenuation and energy compensation
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.