Risk assessment, spatial patterns and source apportionment of soil heavy metals in a typical Chinese hickory plantation region of southeastern China

K Zhao, L Zhang, J Dong, J Wu, Z Ye, W Zhao, L Ding… - Geoderma, 2020 - Elsevier
Abstract Chinese hickory (Carya cathayensis Sarg.) is a famous woody nut in China.
Currently, there is an increasing concern related to the soil heavy metal pollution in Chinese …

Heavy metals contents in agricultural topsoils in the Ebro basin (Spain). Application of the multivariate geoestatistical methods to study spatial variations

JAR Martín, ML Arias, JMG Corbí - Environmental pollution, 2006 - Elsevier
In this work the content of seven heavy metals (Cd, Cr, Cu, Hg, Ni, Pb and Zn) and other
parameters (the pH, organic matter, carbonates and granulometric fraction) in agricultural …

Trend analysis of global usage of digital soil mapping models in the prediction of potentially toxic elements in soil/sediments: a bibliometric review

PC Agyeman, SK Ahado, L Borůvka, JKM Biney… - Environmental …, 2021 - Springer
The rising and continuous pollution of the soil from anthropogenic activities is of great
concern. Owing to this concern, the advent of digital soil mapping (DSM) has been a tool that …

Spatial relations of heavy metals in arable and greenhouse soils of a Mediterranean environment region (Spain)

JAR Martín, JJ Ramos-Miras, R Boluda, C Gil - Geoderma, 2013 - Elsevier
This study characterises and compares Cr, Ni, Pb, Cu, Zn and Cd (HMs) contents and the
main edaphic parameters in arable soils (AS) from western areas of the Andalusian …

Statistical interpretation of spatially varying 2D geo-data from sparse measurements using Bayesian compressive sampling

T Zhao, Y Hu, Y Wang - Engineering Geology, 2018 - Elsevier
Spatially varying two dimensional (2D) geo-data are commonly encountered in earth
sciences and engineering, such as soil or rock properties. Only sparse measurements are …

[HTML][HTML] Non-parametric machine learning methods for interpolation of spatially varying non-stationary and non-Gaussian geotechnical properties

C Shi, Y Wang - Geoscience Frontiers, 2021 - Elsevier
Spatial interpolation has been frequently encountered in earth sciences and engineering. A
reasonable appraisal of subsurface heterogeneity plays a significant role in planning, risk …

Characterization of metal pollution in soils under two landuse patterns in the Angouran region, NW Iran; a study based on multivariate data analysis

A Qishlaqi, F Moore, G Forghani - Journal of Hazardous Materials, 2009 - Elsevier
The study presents the application of selected multivariate statistical methods (multivariate
analysis of variance, discriminant analysis, principal component analysis) and geostatistical …

[PDF][PDF] Georeferenced data in epidemiologic research

GL Werneck - Ciência & Saúde Coletiva, 2008 - SciELO Public Health
This paper reviews some conceptual and practical issues regarding the application of
georeferenced data in epidemiologic research. Starting with the disease mapping tradition …

Assessment and modeling of the groundwater hydrogeochemical quality parameters via geostatistical approaches

S Karami, H Madani, H Katibeh, A Fatehi Marj - Applied water science, 2018 - Springer
Geostatistical methods are one of the advanced techniques used for interpolation of
groundwater quality data. The results obtained from geostatistics will be useful for decision …

Spatial distribution and risk assessment of metals in agricultural soils

Z Bednářová, J Kalina, O Hájek, M Sáňka… - Geoderma, 2016 - Elsevier
The purpose of the presented study was to identify possible ecological and health risks by
metal contamination in soil. More than 50,000 topsoil samples in agricultural soil were used …