Group A, Poster #189, Ground Motions (GM)
Application and adaptation of global ground motion models to the eastern Caribbean Lesser Antilles
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Poster Presentation
2024 SCEC Annual Meeting, Poster #189, SCEC Contribution #13724 VIEW PDF
pplication of those models to the region.
Our work aims to utilize regional data to test more recent global GMMs, from the NGA-West2 and NGA-Subduction projects, against eastern Caribbean regional data. We specifically aim to evaluate the effectiveness of the GMMs’ source, path, and site relationships for this region. We gather earthquake catalog data and associated recordings (including recording station properties), process the ground motions, compute intensity measures (IMs), and develop necessary source, path, and site metadata. We perform mixed effects residuals analyses for shallow crustal events using the Abrahamson et al. (2014), Boore et al. (2014), Campbell and Bozorgnia (2014), and Chiou and Youngs (2014) GMMs and for subduction events using the Kuehn et al. (2020) and Parker et al. (2022) GMMs. The residuals are partitioned into overall bias, event terms, and within-event residuals and are examined for trends with source, path, and site terms. Finally, adjustments to the GMM model coefficients and weighting for use in logic trees are recommended for the region.
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Our work aims to utilize regional data to test more recent global GMMs, from the NGA-West2 and NGA-Subduction projects, against eastern Caribbean regional data. We specifically aim to evaluate the effectiveness of the GMMs’ source, path, and site relationships for this region. We gather earthquake catalog data and associated recordings (including recording station properties), process the ground motions, compute intensity measures (IMs), and develop necessary source, path, and site metadata. We perform mixed effects residuals analyses for shallow crustal events using the Abrahamson et al. (2014), Boore et al. (2014), Campbell and Bozorgnia (2014), and Chiou and Youngs (2014) GMMs and for subduction events using the Kuehn et al. (2020) and Parker et al. (2022) GMMs. The residuals are partitioned into overall bias, event terms, and within-event residuals and are examined for trends with source, path, and site terms. Finally, adjustments to the GMM model coefficients and weighting for use in logic trees are recommended for the region.
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