Geostatistical methods have been developed to optimize investigation and underground modelling especially of waste disposal sites. Analysis of the inaccuracy of sampling data takes account of the soil, rock and groundwater parameters as regionalized variables. Starting with an empirical semivariogram or variogram, the site being investigated is divided into polygons and the variance in the area of each polygon is determined. This is done to identify the spatial distribution of the errors in the available empirical data. Subsequently, areas of statistically low confidence can then be further sampled. This can be repeated until the necessary accuracy has been obtained. The method has also been extended to include multivariate analysis. The ge...
The major borax producer, Eti Mining Co. of Turkey, planned to construct an export stock site locate...
<H3>Aims</H3>This thesis aims at the development of optimal sampling strategies for geostatistical s...
Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty ...
A geostatistical survey for soil requires rational choices regarding the sampling strategy. If the v...
Evaluation and application of various geo-statistical interpolation techniques (including determinis...
Abstract: This project concerns multivariate simulations of pollutants, in order to assess uncertain...
A geostatistical methodology is developed with the aim of simulating three-dimensional grids of tran...
A growing area of application for geostatistical conditional simulation is as a tool for risk analys...
This thesis proposes a methodology towards quantifying the uncertainty resulting from the density an...
International audienceThe aim of this study was to assess the influence of uncertainties related to ...
The efficiency of soil sampling strategies can be increased by incorporating a spatial variation mod...
In der GRS Koeln wird gegenwaertig eine auf geostatistischen Algorithmen basierende schrittweise Met...
Geostatistics is extended to the spatial analysis of vector variables by defining the estimation var...
This paper presents an overview of the most recent developments in the field of geostatistics and de...
In an environmental concern it happens frequently to have to manage such a broad number of data that...
The major borax producer, Eti Mining Co. of Turkey, planned to construct an export stock site locate...
<H3>Aims</H3>This thesis aims at the development of optimal sampling strategies for geostatistical s...
Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty ...
A geostatistical survey for soil requires rational choices regarding the sampling strategy. If the v...
Evaluation and application of various geo-statistical interpolation techniques (including determinis...
Abstract: This project concerns multivariate simulations of pollutants, in order to assess uncertain...
A geostatistical methodology is developed with the aim of simulating three-dimensional grids of tran...
A growing area of application for geostatistical conditional simulation is as a tool for risk analys...
This thesis proposes a methodology towards quantifying the uncertainty resulting from the density an...
International audienceThe aim of this study was to assess the influence of uncertainties related to ...
The efficiency of soil sampling strategies can be increased by incorporating a spatial variation mod...
In der GRS Koeln wird gegenwaertig eine auf geostatistischen Algorithmen basierende schrittweise Met...
Geostatistics is extended to the spatial analysis of vector variables by defining the estimation var...
This paper presents an overview of the most recent developments in the field of geostatistics and de...
In an environmental concern it happens frequently to have to manage such a broad number of data that...
The major borax producer, Eti Mining Co. of Turkey, planned to construct an export stock site locate...
<H3>Aims</H3>This thesis aims at the development of optimal sampling strategies for geostatistical s...
Modelling a rock mass in an accurate and realistic way allows researchers to reduce the uncertainty ...