geostatistics methods Articles
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Applicability of the most frequent value method in groundwater modeling
The Most Frequent Value Method (MFV) is applied to groundwater modeling as a robust and effective geostatistical method. The Most Frequent Value method is theoretically derived from the minimization of the information loss called the I-divergence. The MFV algorithm is then coupled with global optimization (Very Fast Simulated Annealing) to provide a powerful method for solving the inverse ...
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A novel application of Cellular Automata for the evaluation and modelling of mineral resources
This paper presents the results from the current research on the application of Cellular Automata (CA) for modelling and evaluating mineral resources, including a discussion of its advantages and limitations vs. geostatistical methods. Geostatistics enables the estimation of key variables associated with a mineral deposit from field samples, and uses the variogram function to quantify spatial ...
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A method for the interpolation of nonnegative functions with an application to contaminant load estimation
The objective of this work is to extend kriging, a geostatistical interpolation method, to honor parameter nonnegativity. The new method uses a prior probability distribution based on reflected Brownian motion that enforces this constraint. The work presented in this paper focuses on interpolation problems where the unknown is a function of a single variable (e.g. time), and is developed both for ...
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Multigaussian kriging for point-support estimation: incorporating constraints on the sum of the kriging weights
In the geostatistical analysis of regionalized data, the practitioner may not be interested in mapping the unsampled values of the variable that has been monitored, but in assessing the risk that these values exceed or fall short of a regulatory threshold. This kind of concern is part of the more general problem of estimating a transfer function of the variable under study. In this paper, we ...
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The geostatistical evaluation of coal parameters in Seam H, Malinau area, Indonesia
Geostatistical modelling of coal quality parameters has not been widely adopted in Indonesia. Geostatistical interpolation of non-assay data allows the mine planner to estimate quality parameters regarding mining. The foresight can then be used for more timely and accurate seam blending protocols. This paper discusses the modelling and the spatial variability of three coal parameters, namely ...
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Development of a GIS–based information system for mining activities: Afsin–Elbistan lignite surface mine case study
In this study, it was aimed to monitor mining activities and product movements by establishing a mine information system and to give the optimum decision by conducting the necessary inquiries and analyses. For this purpose, at first the map materials used in the mining activities in Afsin–Elbistan lignite basin were converted to digital maps by means of GIS techniques, and after that the lignite ...
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Spatial variability of nutrients (N, P) in a deep, temperate lake with a low trophic level supported by global navigation satellite systems, geographic information system and geostatistics
We investigated changes in the spatial distribution of phosphorus (P) and nitrogen (N) in the deep, mesotrophic Lake Hańcza. The raw data collection, supported by global navigation satellite system (GNSS) positioning, was conducted on 79 sampling points. A geostatistical method (kriging) was applied in spatial interpolation. Despite the relatively small area of the lake (3.04 km2), ...
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Groundwater level response to hydrogeological factors in a semi-arid basin of Beijing, China
In this study, the mode of groundwater level fluctuations is analyzed by statistical approaches for 51 monitoring wells located in a semi-arid basin in Beijing from 1998 to 2013. Firstly, a geostatistical method was performed to characterize the spatial and temporal behaviors of data sets and analyze the responding mechanism of groundwater level to hydrologic features using the Geostatistics ...
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Geostatistics-based spatial variation characteristics of groundwater levels in a wastewater irrigation area, northern China
Although wastewater reuse in agriculture can ease water scarcity, this practice also alters the variation of groundwater recharge and groundwater levels. This study employed a geostatistical method to systematically investigate the spatio-temporal variations and storage fluctuations of groundwater in a wastewater irrigation area in a southeastern suburb of Beijing. Specifically, we generated ...
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A new deterministic method for groundwater mapping using a digital elevation model
Accurate knowledge of groundwater levels and flow conditions in the vicinity of groundwater-dependent terrestrial ecosystems (GWDTE-s) is required for identifying groundwater dependency and comparing the present situation with the optimal one, as part of the status assessment of groundwaters according to the EU Water Framework Directive. Geostatistical methods (like kriging or cokriging) may ...
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Geostatistically based optimization of a rainfall monitoring network extension: case of the climatically heterogeneous Tunisia
Rainfall data are an essential input for many simulation models. In fact, these latter have a decisive role in the development and application of rational water policies. Since the accuracy of the simulation depends strongly on the available data, the task of optimizing the monitoring network is of great importance. In this paper, an application is presented aiming at the evaluation of a ...
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Determination of anthropogenic pedo-geochemical backgrounds (FPGAs): the case of Toulouse Métropole - Case Study
Urban soils hold the "memory" of cities; the geochemical quality of urban soils, to which the population is exposed, reflects its history: emissions since the industrial revolution, successive reconstructions on rubble, particularly following historical conflicts, etc. This is why we know little about the quality of these surface layers, made up of rubble of uncertain composition, even though it ...
By BRGM
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