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Bayesian regional moment tensor from ocean bottom seismograms recorded in the Lesser Antilles: implications for regional stress field

VoiLA Working Group; Lindner, Mike 1; Rietbrock, Andreas ORCID iD icon 1; Bie, Lidong; Goes, Saskia; Collier, Jenny; Rychert, Catherine; Harmon, Nicholas; Hicks, Stephen P.; Henstock, Tim
1 Geophysikalisches Institut (GPI), Karlsruher Institut für Technologie (KIT)

Abstract:

In this paper, we perform full-waveform regional moment tensor (RMT) inversions, to gain insight into the stress distribution along the Lesser Antilles arc. We developed a novel inversion approach, AmPhiB - Amphibious Bayesian, taking into account uncertainties associated with OBS deployments like the orientation of horizontal components and the high noise level. The inversion is conducted using a direct, uniform importance sampling of the fault parameters within a tree structure. We show that the alignment of the horizontal OBS components influences the obtained source mechanism when using standard least-squares (L2) RMT inversion schemes, resulting in systematic errors in the recovered focal mechanisms including high artificial CLVD contributions. AmPhiB reduces these CLVD components by nearly 60% and the aberration of the focal geometry as measured by the Kagan angle by around 40% relative to a standard L2 inversion. Subsequently, we obtain 45 (Mw > 3.8) regional MT solutions. Combining our new results with existing solutions, we subsequently analyze a total of 151 solutions in a FMC diagram and map them to the regional tectonic setting. ... mehr


Volltext §
DOI: 10.5445/IR/1000162366
Veröffentlicht am 20.09.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2022
Sprache Englisch
Identifikator KITopen-ID: 1000162366
Umfang 51 S.
Vorab online veröffentlicht am 11.06.2022
Nachgewiesen in Dimensions
arXiv
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