Bayesian inference of a physical seismological model for earthquake strong-motion in south Iceland
KAUST DepartmentCrustal Deformation and InSAR Group
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
Online Publication Date2020-08-26
Print Publication Date2020-11
Embargo End Date2022-08-26
Permanent link to this recordhttp://hdl.handle.net/10754/664996
MetadataShow full item record
AbstractEarthquake ground motion prediction in Iceland where strong-motion data is scarce poses a challenge as empirical ground motion models (GMM) developed from data in other regions systematically fail to capture the consistently large near-fault peak amplitudes and their rapid attenuation with distance from the earthquake source. Therefore, regional GMMs must be constructed but due to the limited data, and none above Mw6.5, earthquake source scaling is unconstrained at larger magnitudes. Instead, physics-based GMMs should be applied based on realistic earthquake source modeling. For that purpose, a seismological model constructed around the specific barrier model (SBM) has been calibrated in the context of the stochastic method using random vibration theory, to earthquake high-frequency strong-motions in the South Iceland Seismic Zone. The SBM is used as it provides a physically consistent and efficient description of the heterogeneous faulting processes that are responsible for the generation of high-frequency waves. On the basis of the concise point-source representation of radiated spectra from N subevents of the SBM the pseudo-spectral accelerations were modeled and compared with that of data in the spectral domain. Backwards model selection was then carried out using Bayesian inference with Monte Carlo simulations and Markov Chains. The number of parameters in the model inference was reduced to obtain stable Markov chains and posterior probability density functions for each parameter, eliminating parametric cross-correlations to the extent possible. The seismological model has been shown to be unbiased with respect to strong-motions in the SISZ, with a total standard deviation of 0.216 (common logarithm), with only a minor contribution from inter-event variability, suggesting a relatively uniform character of SISZ earthquake strong-motions. We showcase the application of the SBM extended into a finite-fault and model the three Mw6.3-6.5 earthquakes in the dataset, allowing subevents of varying sizes to populate the fault plane and provide a more realistic earthquake source and acceleration ground motion time history modeling. The time domain results are shown to capture the essential characteristics of the ground motions of the three largest earthquakes in the dataset. We present therefore the SBM as a physically consistent source model of SISZ earthquakes for the generation of synthetic strong-motion time histories or peak parameters, with potential applications in scenario simulations and probabilistic or deterministic seismic hazard assessment.
CitationSonnemann, T., Halldorsson, B., Hrafnkelsson, B., & Jónsson, S. (2020). Bayesian inference of a physical seismological model for earthquake strong-motion in south Iceland. Soil Dynamics and Earthquake Engineering, 138, 106219. doi:10.1016/j.soildyn.2020.106219
SponsorsThis study was supported by the Icelandic Centre for Research (Icelandic Research Fund, Grant of Excellence No. 141261-051/052/053), and the University of Iceland Research Fund. The authors would like to acknowledge the logistical and material support from the Icelandic Meteorological Office, Division of Processing and Research.