Application of Geostatistical Models for Estimating Spatial Variability of Rock Depth

HTML  Download Download as PDF (Size: 1315KB)  PP. 886-894  
DOI: 10.4236/eng.2011.39108    5,698 Downloads   11,269 Views  Citations

Affiliation(s)

.

ABSTRACT

Rock depth information of a site is a significant factor for geotechnical engineering and earthquake ground response analysis. In this paper, reduced level of rock at Bangalore is arrived from the 652 boreholes in the area covering 220 km2. Geostatistical modeling based on kriging (simple and ordinary) techniques has been applied for estimating reduced level of hard rock in Bangalore. The models are used to compute variance of estimated reduced level of the rock. A new type of cross-validation analysis proves the robustness of the developed models. The comparison between the simple and ordinary kriging model demonstrates that the ordinary kriging model is superior to simple kriging model in predicting reduced level of rock in the subsurface of Bangalore.

Share and Cite:

P. Samui and T. Sitharam, "Application of Geostatistical Models for Estimating Spatial Variability of Rock Depth," Engineering, Vol. 3 No. 9, 2011, pp. 886-894. doi: 10.4236/eng.2011.39108.

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.