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Damage Estimation Based on Spatial Variability of Seismic Parameters Using GIS Kriging  

Jeon Sang-Soo (Korea Highway & Transportation Technology, Korea Highway Corporation)
Publication Information
Journal of the Korean Geotechnical Society / v.20, no.7, 2004 , pp. 33-44 More about this Journal
Abstract
This paper is focused on the spatial variability of measured strong motion data during earthquake and its relationship with the performance of water distribution pipelines and residential buildings. Analyses of strong motion and the correlations of peak ground velocity (PGV) and pipeline and building damage were conducted with a very large geographical information system (GIS) database including the relationship of time and earthquake intensity and the measured location, and Kriging spatial statistics. Kriging was used to develop regressions of pipeline repair rate (RR) and residential building damage ratio (DR) associated with $90\%$ confidence peak ground velocity (PGV). Such regressions using Kriging provide an explicit means of characterizing the uncertainty embodied in the strong motion data compared with other spacial statistics such as inverse distance method.
Keywords
Building damages; Earthquake; Geotechnical engineering; GIS; Seismic parameters;
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