A stochastic finite‐fault approach based on corner frequency (EXSIM) is applied to simulate the Tottori Mw 6.2 earthquake. The parameter κ0 is calculated based on ground motion recordings. Other parameters, such as quality factor (127f0.61) and stress drop (27.97 bars) are taken from our earlier work. The slip distribution refers to the results of Kubo et al. (2017, https://doi.org/10.1186/s40623-017-0714-3). The geometric spreading function and ground motion duration are taken from Atkinson and Boore (1995, https://doi.org/10.1785/bssa0850010017). The simulated results match well with the observed values in a short period (T < 1 s). In addition, the effects of hanging wall (HW) and footwall (FW) on the simulated values are discussed. The results show that the simulated results of HW stations are more consistent with the observed values than those of FW stations. The differences between simulated Pseudo Spectral Acceleration (PSA) and observed PSA with epicentral distance and azimuth are also analyzed. The results show that the local site amplification and geometric location of stations influence the simulation results for soft soil sites. Overall, the simulated ground motions obtained by applying EXSIM approach matched well with the observed recordings which could be considered as the basis for earthquake‐resistant design during the post‐disaster recovery and could become a powerful tool for earthquake ground motion prediction.

No abstract

No abstract

No abstract

No abstract

No abstract

No abstract

To incorporate basin effects into seismic hazard assessment of urban areas and infrastructure, basin-depth effect models that are the dependence of basin amplification factor on basin depth have been derived via numerical and empirical approaches. However, commonly observed quantitative and qualitative differences between numerical and empirical models remain unresolved. In particular, empirical models tend to predict smaller basin amplification factors. In this study, a modified empirical approach from Choi et al. was applied to the derivation of basin-depth effect models for four deep basins in Japan using a database consisting of 71 M J > 6 (M w > 5.7) earthquakes and 13,562 records from strong-motion seismograph networks (K-NET and KiK-net). The obtained basin-depth models vary among basins and crustal-subduction earthquake pairs, which confirms the recent trend of accounting for regional-seismotectonic basin amplification in seismic hazard analysis. The basin amplification observed for crustal earthquakes is generally larger than that for subduction earthquakes.Moreover, the differences between the numerical and empirical models can be explained by changing the options of basin or outside-basin stations for computing the inter-event residuals. These results bridge a knowledge gap in seismic hazard analysis between ground-motion prediction equations and those using large-scale seismic wave simulations, which are now the main tools for regions lacking seismic records.