geostatistics Articles
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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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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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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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Study of key factors in geometrical and grade modelling of copper porphyry deposits
Despite the development of a series of remarkable modelling technologies and sophisticated commercial software packages in the past two decades, the modelling process and software application are technically and practically facing a number of challenging issues. Some challenges are related to the theory and algorithm of modelling, and some of them related to the uncertainty of data. There is also ...
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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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Local recoverable reserves prediction with block LU simulation
Prediction of local recoverable reserves is an important problem in ore reserve evaluation. Wide spacing of exploration data leads to unavoidable uncertainty at unsampled locations. Deterministic methods such as kriging cannot explicitly account for this lack of perfect information and equipment selectivity. We present a methodology and software for assessing recoverable reserves at Selective ...
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Monitoring network optimisation for spatial data classification using support vector machines
The paper presents a novel method for monitoring network optimisation, based on a recent machine learning technique known as support vector machine. It is problem-oriented in the sense that it directly answers the question of whether the advised spatial location is important for the classification model. The method can be used to increase the accuracy of classification models by taking a small ...
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Industrial experience feedback of a geostatistical estimation of contaminated soil volumes
Geostatistics meets a growing interest for the remediation forecast of potentially contaminated sites (both chemical/radiological): pollution mapping, contaminated volumes estimation, integration of auxiliary information, setup of adaptive sampling strategies. This interest has been supported in France by the GeoSiPol association (Geostatistics for Polluted Sites) created in 2004 and which is ...
By Geovariances
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Soil geography and geostatistics
Geostatistics, which can be defined as the tools for studying and predicting the spatial structure of georeferenced variables, have been mainly used in soil science during the past two decades. Since now, hundreds of geostatistical papers have been published on soil science issues. The use of geostatistical tools in soil science is diverse and extensive. It can be for studying and predicting soil ...
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Use of geostatistics to evaluate the monitoring well network of a TCE plume
This paper summarises the use of geostatistics to evaluate an existing network of wells in a groundwater monitoring program. The primary objective was to evaluate whether selective well removal would result in a comparable characterisation of a trichloroethylene (TCE) plume. For adequate characterisation, it is important to retain enough wells to evaluate areas with higher concentrations and to ...
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Cartography for air quality monitoring: the geostatistical approach
Being able to provide quick and accurate pollutant maps from readings at isolated measurement stations is becoming more important today in light of the European norms on air quality and the public’s demand to be informed. Commonly used algorithms for cartography are quick but their accuracy remains to be determined.Firstly, the choice of method is arbitrary and based on user’s subjective ...
By Geovariances
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Kartotrak allows Dekra to justify undoubtely their conclusions
Problematics “Our work is to provide our clients with the elements of decision they need to prepare site management plans for future remediation. Before we decided to include geostatistical approach in our projects, we were used to produce contamination maps based on very simple interpolation methods and empirical calculations. We needed a rational solution which enabled us to justify ...
By Geovariances
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Spatial and temporal characterization of climate at regional scale using homogeneous monthly precipitation and air temperature data: an application in Calabria (southern Italy)
In the present study, an approach for a climate characterization based on a statistical analysis of monthly precipitation and temperature data is presented. First, the original database (1916–2010) was homogenized and a geostatistical analysis was carried out to characterize the monthly mean distribution of the two variables in the study area. Then, temporal change of precipitation and ...
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Characterization of dynamic evolution of the spatio-temporal variation of rain-field in Hong Kong
A significant part of Hong Kong has hilly terrain with relatively short flow concentration time and, hence, is susceptible to the threat of flash floods and landslides during intense convective thunderstorms and tropical cyclones. For places like Hong Kong, a rainfall model that could adequately capture small-scale temporal and spatial variations would be highly desirable. The main challenge ...
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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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Dedicated geostatistics based library for reliable dose rate mapping in a mouse click
ISYmap is a French start-up that launched GLOBall (GeoLOcalized Ball) early 2016, a revolutionary system allowing remoted and fast dose rate measurement and mapping, easy and quick to set up by operators staying far from hazard area in safe conditions. ISYmap has integrated QuickMap, a dedicated geostatistics-based library developed by Geovariances for a reliable mapping process. The ...
By Geovariances
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Geostatistical modelling of ground conditions to support the assessment of site contamination
The pattern of ground contamination across a site depends on the historical pattern of contaminant releases at the surface and the redistribution and the fate of contaminants below the surface. Using these concepts a new site assessment approach (assessment modelling) is proposed based on the development of three stochastic models: a model of the physical structure of the ground materials beneath ...
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White Paper: Soil Data Quality Control
Why it is essential during a contaminated soil study? Before starting an evaluation of the contamination leading to decision-making tools for site clean-up, it is essential to ensure data quality. Thus, based on solid and reliable foundations, uncertainties occurring during the different steps of the decision process will be better controlled and the final quality of the project improved. The ...
By Geovariances
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Some aspects of physiologic climatology in Nigeria
This study discusses the focus of researches in climate science in Nigeria with the view of identifying important gaps in knowledge in the publications in the field. The study used both expository review and geostatistics to present its results. The general overview of the field of climatology in Nigeria showed that Nigerian rainfall has been well studied while information on most other climate ...
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