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Application of Geostatistical Models for Estimating Spatial Variability of Rock Depth

机译:地统计学模型在岩石深度空间变异性估算中的应用

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摘要

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.
机译:场地的岩石深度信息是岩土工程和地震地面响应分析的重要因素。在本文中,班加罗尔的岩石减少是由覆盖220 km2区域的652个钻孔引起的。基于克里金法(简单和普通)的地统计学模型已被用于估算班加罗尔硬岩的减少水平。这些模型用于计算估计的岩石降低高度的方差。一种新型的交叉验证分析证明了所开发模型的鲁棒性。简单克里金模型和普通克里金模型的比较表明,在预测班加罗尔地下岩石的减少程度方面,普通克里金模型优于简单克里金模型。

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