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http://dx.doi.org/10.7843/kgs.2012.28.1.17

Local Uncertainty of Thickness of Consolidation Layer for Songdo New City  

Kim, Dong-Hee (Infrastructure Engineering Team, SK E&C)
Ryu, Dong-Woo (KIGAM)
Chae, Young-Ho (School of Civil, Environmental and Architectural Engrg, Korea Univ.)
Lee, Woo-Jin (School of Civil, Environmental and Architectural Engrg, Korea Univ.)
Publication Information
Journal of the Korean Geotechnical Society / v.28, no.1, 2012 , pp. 17-27 More about this Journal
Abstract
Since geologic data are often sampled at sparse locations, it is important not only to predict attribute values at unsampled locations but also to assess the uncertainty attached to the prediction. In this study the assessment of the local uncertainty of prediction for the thickness of the consolidation layer was performed by using the indicator approach. A conditional cumulative distribution function (ccdf) was first modeled, and then E-type estimates and the conditional variance were computed for the spatial distribution of the thickness of the consolidation layer. These results could be used to estimate the spatial distribution of secondary compression and to assess the local uncertainty of secondary compression for Songdo New City.
Keywords
Geostatistics; Indicator approach; Indicator kriging; Local uncertainty; MultiGaussian approach;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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