Abstract
Soil and rock characteristics are primarily affected by geological, geotechnical, and terrain variation with spatial uncertainty. Earthquake-induced hazards are also strongly influenced by site-specific seismic site effects associated with subsurface strata and soil stiffness. For reliable mapping of soil and seismic zonation, qualification and normalization of spatial uncertainties is required; this can be achieved by interactive refinement of a geospatial database with remote sensing-based and geotechnical information. In this study, geotechnical spatial information and zonation were developed while verifying database integrity, spatial clustering, optimization of geospatial interpolation, and mapping site response characteristics. This framework was applied to Daejeon, South Korea, to consider spatially biased terrain, geological, and geotechnical properties in an inland urban area. For developing the spatially best-matched geometry with remote sensing data at high spatial resolution, the hybrid model blended with two outlier detection methods was proposed and applied for geotechnical datasets. A multiscale grid subdivided by hot spot-based clusters was generated using the optimized geospatial interpolation model. A principal component analysis-based unified zonation map identified vulnerable districts in the central old downtown area based on the integration of the optimized geoprocessing framework. Performance of the geospatial mapping and seismic zonation was discussed with digital elevation model, geological map.
Highlights
To evaluate regional geotechnical characteristics, multivariate information should be collected and normalized from the perspectives of geotechnical, spatial analysis, and remote sensing experts.Geospatial data are often limited or irregularly cover an area of interest
A preprocessing preprocessing phase phase for for optimum optimum site site classification classification was was proposed proposed with with aa sophisticated sophisticated computerized framework based on geoinformatics
A computerized framework based on geoinformatics
Summary
To evaluate regional geotechnical characteristics, multivariate information should be collected and normalized from the perspectives of geotechnical, spatial analysis, and remote sensing experts. Large metropolitan areas have high spatial variability in topography, geology, and subsurface characteristics as well as various urban developments In such areas site assessments are largely based on the characteristics of soils and surface geology. Site-specific response prediction methods provide rapid seismic response through regional seismic disaster prediction, including the seismic susceptibility of structures without numerical site response analysis, and seismic design through site-specific ground motion prediction They can be used directly for seismic performance evaluation. This study proposes a sophisticated framework by stepwise geospatial and geotechnical analysis models, which include geotechnical database (DB) optimization, hot spot analysis, geostatistical interpolation, and the generation of site response parameters. The mapping of the associated site response parameters will provide basic guidelines for understanding earthquake hazard scenario in any region
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