Passive seismic interferometry of the ultraslow-spreading Southwest Indian Ridge
- 1Sorbonne University, France (mohamadhasan.mohamadian_sarvandani@sorbonne-universite.fr)
- 2Free University of Berlin, Germany (emanuel.kaestle@fu-berlin.de )
- 3University of Padova, Italy (larryboschi@gmail.com )
- 4Sorbonne University, France (sylvie.leroy@sorbonne-universite.fr )
- 5Institut de Physique du Globe de Paris (IPGP), France (cannat@ipgp.fr)
Passive seismic interferometry (ambient-noise seismology) is an increasingly popular, eco-friendly, relatively inexpensive exploration geophysics tool, to map S-wave velocity in the Earth’s crust. This method has not yet been applied widely to marine exploration. The purpose of this study is to investigate the crustal structure of a quasi-amagmatic portion of the Southwest Indian Ridge by interferometry, and to examine the performance and reliability of interferometry in marine exploration. To achieve this goal, continuous vertical-component recordings from 43 ocean bottom seismometers (OBS) deployed during the SISMO-SMOOTH cruise (2014) were utilized. Recorded signals span frequencies between 0.1Hz and 3Hz. We show that reliable estimates of the Green’s function are obtained for many station pairs, by cross-correlation in the frequency domain. The comparison of the cross-correlations with the theoretical Green’s (Bessel) function provides one Rayleigh-wave dispersion curve per station pair; dispersion curves are then averaged, and inverted through a conditional neighborhood algorithm to determine a 1D S-wave velocity model, that we estimate to be well constrained within the crust. Our S-wave velocity model is analyzed and interpreted with geological information, and independent geophysical studies in the region of interest, as well as other areas characterized by similar tectonically-dominated, quasi amagmatic spreadings.
How to cite: Mohamadian Sarvandani, M., Kästle, E., Boschi, L., Leroy, S., and Cannat, M.: Passive seismic interferometry of the ultraslow-spreading Southwest Indian Ridge , EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-6132, https://doi.org/10.5194/egusphere-egu21-6132, 2021.