Sensitivity analysis of near-source ground motions to pseudo-dynamic source models derived with 1-point and 2-point statistics of earthquake source parameters

• Published in: Journal of seismology 2020-04, Vol.24 (2), p.397-422
• Main Authors: Park, Donghee, Song, Seok Goo, Rhie, Junkee
• Format: Article
• Language: English
• Subjects: Computer simulation; Directivity; Earth and Environmental Science; Earth Sciences; Earthquake prediction; Earthquakes; Geological hazards; Geophysics/Geodesy; Geotechnical Engineering & Applied Earth Sciences; Ground motion; Hazard assessment; Hydrogeology; Mathematical models; Motion simulation; Original Article; Parameters; Physics; Seismic activity; Seismic analysis; Seismic hazard; Seismology; Sensitivity analysis; Statistical analysis; Statistical methods; Statistics; Structural Geology
• ISSN: 1383-4649; 1573-157X
• DOI: 10.1007/s10950-020-09905-8

Ground motion prediction is an important element in seismic hazard analysis. However, the availability of recorded strong ground motion data is limited, particularly for large events in near-source regions. Recently, several physics-based ground motion simulation approaches have been developed, which may be useful for understanding the effect of earthquake source on near-source ground motion characteristics. In this study, we investigated the sensitivity of near-source ground motions to finite earthquake source processes with pseudo-dynamic source models, based on 1-point and 2-point statistics of earthquake source parameters. We simulated ground motions for M w 6.6 and 7.0 vertical strike-slip events using pseudo-dynamic source models derived from multiple sets of input source statistics and investigated the characteristics of near-source ground motions relative to the input source statistics, focusing on the relative station locations with respect to finite-fault geometry. Our results show that the effect of earthquake source on near-source ground motions can vary depending on the locations of near-source stations. The variability of ground motion intensities derived from multiple sets of input source statistics was greater in the forward directivity region. This pattern is also consistent for pseudo-spectral accelerations with various periods. The pseudo-dynamic source modeling method with 1-point and 2-point statistics seems to be an efficient framework for understanding the effect of earthquake source on near-source ground motion characteristics.