Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2387-2023
https://doi.org/10.5194/nhess-23-2387-2023
Research article
 | 
05 Jul 2023
Research article |  | 05 Jul 2023

Accounting for path and site effects in spatial ground-motion correlation models using Bayesian inference

Lukas Bodenmann, Jack W. Baker, and Božidar Stojadinović

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Latest update: 10 Nov 2024
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Short summary
Understanding spatial patterns in earthquake-induced ground motions is key for assessing the seismic risk of distributed infrastructure systems. To study such patterns, we propose a novel model that accounts for spatial proximity, as well as site and path effects, and estimate its parameters from past earthquake data by explicitly quantifying the inherent uncertainties.
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