This study presents an advanced geospatial framework for Seoul, utilizing a database of over 29,000 boreholes to develop a high-resolution pseudo-3D shear-wave velocity field. By implementing site-specific SPT- N correlations, the framework captures intra-stratal heterogeneity and vertical stiffness gradients often masked by stratigraphic averaging. A density-adaptive mosaic-based interpolation was employed to estimate bedrock depth ( H ), time-averaged shear wave velocity ( V S30 ) and fundamental period ( T G ), effectively mitigating the "smoothing effect" inherent in ordinary kriging. The model achieved an average 36.56% reduction in cross-validation RMSE across all primary parameters and a 50% reduction in V S30 RMSE against 9,999 independent downhole records. T G was identified as the critical factor for localized resonance risk. The resulting 5-meter resolution zonation maps delineate seismic hotspots and alluvial micro-zones previously obscured in macro-scale assessments, providing a robust geospatial template for lot-level hazard mitigation and seismic design code refinement within the digital construction paradigm. • A high-fidelity "Geotechnical digital twin" was established using a massive database of 29,019 boreholes to capture site-specific pseudo-3D shear wave velocity ( V S ) fields. • A lot-level 5-meter resolution grid captured intra-stratal heterogeneity and vertical stiffness gradients, surpassing conventional layer-averaged models. • A density-adaptive mosaic-based interpolation framework minimized the "smoothing effect" of ordinary kriging, achieving a 36.56% reduction in cross-validation RMSE. • High-resolution seismic microzonation maps ( H , V S30 , T G ) identified localized resonance risks and "seismic hotspots" to support risk-informed structural design. • The proposed workflow integrates high-fidelity geotechnical assets into the digital construction paradigm, providing a robust tool for site-specific design for resilience (DfR).
Chung et al. (Wed,) studied this question.