Surface-wave relocation of remote moderate-to-large magnitude earthquakes along the Southwest Indian Ridge
Earthquake locations are essential parameters used in seismology for investigations of earthquake processes, tectonics and subsurface imaging. The parameters associated with an earthquake location provide seismologists information about its rupture processes, faulting, and interaction with the surrounding environment. Throughout the history of earthquake location, seismologists have constrained the location of an earthquake reasonably well using arrival-time measurements. Though there exist many similar waveform features, earthquakes and their characteristics are not uniform, and under the right conditions, the available data and methods used to constrain an earthquake location can significantly influence the degree of location uncertainty. Existing earthquake locations for remote, but important tectonic regions such as mid-ocean ridges (MOR), are less well constrained because of the lack of seismic stations nearby. In remote MOR environment’s location uncertainties have been reduced using full surface-waveform observations in earthquake location analyses. Surface waves generally have a better signal to noise ratio for shallow, moderate-to-large events observed at longer distances. Previous work has shown that relative surface-wave time shifts, used for relative event locations, can be measured to a precision of 1-2 seconds, suitable enough to substantially improve the relative earthquake locations in remote regions such as MORs. We use surface-wave relative time shifts to estimate relative locations for moderate-to-large earthquake events along the Southwest Indian Ridge from 1990-2021. We employ a machine learning tool to assign quality ratings to the waveform data to speed the analysis and use the results to explore processes driving slow and ultra-slow spreading ridges.
|Work Title||Surface-wave relocation of remote moderate-to-large magnitude earthquakes along the Southwest Indian Ridge|
|License||In Copyright (Rights Reserved)|
|Publication Date||December 2021|
|Deposited||August 31, 2022|
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