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Geostatistical Articles & Analysis
53 articles found
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 ...
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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 ...
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. ...
ISYmap has integrated QuickMap, a dedicated geostatistics-based library developed by Geovariances for a reliable mapping process. ...
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. ...
The aim is to apply a straightforward geostatistical algorithm, named ordinary kriging of radar errors (OKRE), to integrate X-band radar and rain gauge measurements in a mountainous catchment (15 km2) in central Spain. ...
ArcGIS and MVS have several built-in deterministic and geostatistical algorithms for interpolating analytical surfaces and contouring. ...
The objective of this white paper is to assess at best the validity of the data through visual, statistical and geostatistical basic tools before going further into their analysis. View it online ...
The method given here is based on the theory of the regionalized variables using the well-known geostatistical variance reduction method. The procedure, which involves different analysis methods of the available data, such as estimation of the interpolation uncertainty and data cross validation, is applied to a case study data set in Tunisia in order to demonstrate the potential ...
Kartotrak, in its full version, enables more advanced geostatistical data modeling and uncertainty quantification associated with contaminated volumes or masses of pollutants. ...
In this study, radar data with a high spatial (1 km2) and temporal (6 min) resolution of four rainstorm events in Hong Kong are analyzed. A geostatistical approach based on indicator variograms of rain-fields is used. ...
The methodology is presented in three stages. In the first stage, a geostatistics approach of co-kriging is used to estimate groundwater quality parameters at locations where the groundwater levels are measured. ...
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. ...
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 deposit was modelled in 3D, by utilising drill holes data and geostatistical methods. With the integration of the table and graphical data obtained in this way in GIS environment, ...
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. ...
They were seeking a software package able to process such huge datasets in a quick and efficient way. The solution Geostatistics definitely meets Airparif data assimilation challenge. It is an efficient way to incorporate auxiliary information (model outputs or any other secondary variables) in the final map by integrating the correlation between this information and the ...
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), compact shape (shore development index of 2.04) and low horizontal exchange of water (retention time 11.4 years), chemical ...
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. ...
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 ...
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 elements and issues is less available. ...