Spatial variability of SPT data using ordinary and disjunctive kriging

P. Samui, T.G. Sitharam
2010 Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards  
The purpose of this study is to develop a geostastistical model based on ordinary and disjunctive kriging technique to estimate spatial variability of SPT (N) data in the three dimensional subsurface of Bangalore. The database consists of 766 boreholes spread over a 220 sq km area, with several N values in each of them. The analysis has been done for corrected SPT (N c ) value. Ordinary kriging produces linear estimator whereas, disjunctive kriging produces nonlinear estimator. The knowledge of
more » ... r. The knowledge of the semivariogram of the SPT data is used in the kriging theory to estimate the values at points in the subsurface of Bangalore where field measurements are not available. The capability of disjunctive kriging to be a nonlinear estimator and an estimator of the conditional probability is explored. A cross validation (Q1 and Q2) analysis is also done for the developed ordinary and disjunctive kriging model. For the data sets used in this study, disjunctive kriging has shown to be a better estimator than ordinary kriging in terms of reduced kriging variance and the comparison between an estimated and actual value.
doi:10.1080/17499510902792209 fatcat:nnpcquqoqnetjdpe66gzbwvgt4