Analysis of Single-Station Standard Deviation Using the KiK-net Data

摘要: Estimates of single-station standard deviation can be used as a lower bound to probabilistic seismic hazard analyses that remove the ergodic assumption on site response. This paper presents estimates using data from KiK-net network. The network has dense array stations recorded large number earthquakes over period study, both at surface and colocated borehole instruments. records implies there are with recordings multiple events; hence, terms deviations properly estimated. Borehole instruments permit breakdown residuals, considering effect amplification in shallow layers. Random-effects regression was first develop ground-motion prediction equation (GMPE) data. GMPE constrained such event were same borehole. Residuals then computed within-event (intraevent) residuals separated into repeatable site-term remaining residual, for ground motion itself empirical factor between Results show considerably than assumption, these further reduced if only small bracket station-to-event azimuths is considered each station path variability minimized. Moreover, indicate most differences results poor parametrization effects. However, contribution site-to-site limited. Finally, comparison other studies different tectonic regions indicates values strikingly similar all studies.