An approach for predicting surface strong motion using borehole seismometers

Abstract

South Korea has implemented borehole -type seismometers for reliable earthquake observations and earthquake early -warning systems, with approximately 85% of seismometers being replaced by borehole -type seismometers after the Gyeongju earthquake. Although these seismometers are more effective at detecting earthquakes owing to the reduced artificial ambient noise, they do not record surface -level shaking. Therefore, it is necessary to estimate ground surface shaking directly associated with potential damage when using borehole -type seismometers without surface sensors. This study investigated and compared various methods, including the stochastic point -source ground -motion model, transfer function based on ambient noise, and one-dimensional site response, to estimate horizontal seismograms of the ground surface. We assessed the accuracy of these methods by comparing the waveforms generated in event cases (magnitude from 2.5 to 5.8, with epicentral distances spanning 22 km - 209 km) in terms of Fourier spectra, intensity, and spectral acceleration. Among the methods assessed, the transfer function approach, which does not account for the geophysical characteristics such as V S 30 , proved to be the most appropriate for correcting ground -surface effects.