Identifying quantitative sources and hazardous areas of heavy metals is a crucial issue for
soil management. For this purpose, an integrated approach composed of finite mixture …

The effectiveness of predictive geological mapping was tested using re-analyzed lake
sediment geochemical data from lakes across the Melville Peninsula in Nunavut, Canada …

Transforming complex multivariate geological data to a Gaussian distribution is an important
and challenging problem in geostatistics. A variety of transforms are available for this goal …

Modeling of geometallurgical variables is becoming increasingly important for improved
management of mineral resources. Mineral processing circuits are complex and depend on …

Mineral deposits frequently contain several elements of interest that are spatially correlated
and require the use of joint geostatistical simulation techniques in order to generate models …

A multivariate spatial analysis was conducted on a suite of glacial till geochemical data
collected over the Melville Peninsula, Nunavut, Canada. Previous studies demonstrated …

An accurate characterization and modelling of rock mass geomechanical heterogeneity can
lead to more efficient mine planning and design. Using deterministic approaches and …

Abstract The Yellow River Delta (YRD) wetland, the most important estuary wetland in
eastern China, has an important ecosystem service function. Rapid and intensive …

Joint geostatistical simulation techniques are used to quantify uncertainty for spatially
correlated attributes, including mineral deposits, petroleum reservoirs, hydrogeological …

ABSTRACT A mining complex is an integrated business that extracts materials from open pit
or underground mines, treats extracted materials via a series of processing facilities that are …