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Spatial variability of soil modulus is modeled by geostatistical methods using data from a real construction site.
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The first part of this paper briefly elucidates two geostatistical methods used in this research: the Turning Bands Method and Sequential Gaussian Simulation.
Das Gupta et al. (1995) investigated groundwater resource quality in a Bangkok aquifer by geostatistical methods, and their results showed the usefulness of applying this method to issues related to groundwater quality.
In this research, the effect of reservoir heterogeneities generated by geostatistical methods applied to infill drilling scenarios has been discussed.
Equiprobable hydraulic conductivity (K) fields reproduced by geostatistical methods characterized the spatial uncertainty of contaminant transport in the heterogeneous aquifer.
Alumina contents obtained from duricrust samples were analyzed by geostatistical methods and classical kriging interpolation to discriminate between bauxitic and ferruginous laterites.
Geostatistical methods were used to analyse the spatial distribution of ECa and nematodes.
Classic statistical and geostatistical methods were used to assess variability in contamination levels.
Descriptive statistics and geostatistical methods were used to analyze the data at the three spatial scales.
Geostatistical methods are used to develop variograms, kriging maps, and conditional simulations of zeolitic abundance.
Geostatistical methods are used here for modeling and prediction of gas amounts and for assessing their associated uncertainty in gas emission zones of longwall mines for methane control.
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