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Geostatistical Analysis Articles & Analysis
12 articles found
See What You've Been Missing As consultants, we’re always looking to find the most efficient ways to understand our project site data and maximize our understanding of the conditions and processes in the subsurface. Understanding data begins with quality data management, but it's important to have a streamlined process for providing data in proprietary formats for mapping and visualization ...
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 ...
In this study, statistical and geostatistical techniques were used to estimate PM10. After analysing data and obtaining a good variogram, multivariate data analysis, cartography via ordinary kriging was used to estimate PM10 concentration at unsampled locations. ...
The article introduces the geostatistical methodology and illustrates its added value on a real application case dealing with grounds of facilities partially dismantled at the end of the 1950s. 10 years ago, a first exploratory drill-hole confirmed the presence of a deep radiological contamination (more than 4m deep). More recently, 8 additional drill-holes failed to delineate ...
In this research the last challenge group was discussed, and the effect of major parameters that are associated with engineering judgement and the use of software package in each model were evaluated via the sensitivity analysis.Keywords: geostatistic modelling, sensitivity analysis, geometrical modelling, grade modelling, copper porphyry deposits, uncertainty ...
Optimised Kriging models and geostatistical analyses revealed that much of the farm topsoil in the catchment area was polluted above the levels established for human health. Cadmium hotspots (10-600 mg/kg) are identified in a highly populated region in the County.Keywords: cadmium, farm topsoil, geographic information systems, GIS, spatial analysis, kriging, ...
A systematic groundwater quality-monitoring program was conducted, and a total of 201 groundwater samples were collected. Multivariate and geostatistical techniques were employed to investigate major contamination types and its spatial characteristics in the study area. Principal Component Analysis (PCA) reveals that salinity (Factor 1) and nutrient (Factor 2) ...
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 ...
The Han River is the largest river in South Korea in terms of its length, drainage and mean annual discharge. The river is of importance for cultural and economic reasos because it is a unique source of drinking water for more than 20 million people living in Seoul and its surrounding areas. Intensive industrial development in Seoul during the last four decades has greatly increased the risk for ...
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. ...
The storm that struck France on december 26th and 28th 1999 felled 140 million m3 of timber and had a high economic, social and landscape impact. This event offered the opportunity to study large-scale patterns in populations of forest insect pests that would benefit from the abundant breeding material. A large-scale survey was carried out in France in 2000 to sample the most frequently observed ...
We recommend that quality assurance protocols aim to determine the overall measurement quality by evaluating error at all stages from sampling and sample handling through analysis. SAMPLING DESIGN AND GEOSTATISTICS The prerequisite of a well-designed study is a clear statement of the study's objectives for data quantity, quality, reliability, speed, and cost. ...