Title of article :
Application of factorial kriging analysis to the FOREGS
European topsoil geochemistry database
Author/Authors :
Claire E. Imrie?، نويسنده , , Anna Korre، نويسنده , , Gabriela Munoz-Melendez، نويسنده , , Iain Thornton، نويسنده , , Sevket Durucan، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2008
Abstract :
Concern about increasing levels of trace elements in the environment has led to the
development and implementation of a global programme to determine the current baseline
levels of these chemicals in the Earth’s surface. The FORum of European Geological Surveys
(FOREGS) has recently published a geochemical database for Europe, while progress on similar
databases is continuing in other major regions of the world. The FOREGS database comprises
multimedia samples collected at a resolution of approximately 72×72 km from 26 European
countries. This enables the investigation of the factors governing geochemical variation on a
continental scale, potentially allowing contributions of natural processes to be appreciated
prior to setting environmental quality standards. This paper investigates the variation in
European topsoil geochemistry using factorial kriging analysis, which performs principal
components analysis at different spatial scales. The results are interpretedwiththe aid of a GIS
database. Four spatial scaleswere identified: anugget component representing variationover a
range less than the sampling density; a ‘short’ scale component with a range of 296 km; an
‘intermediate’ scale component (875 km); and a ‘long’ scale component (1750 km). The first
three principal components (PCs) of the nugget covariance matrix explained 22.2% of the
overall variance, representing local variation in geology, land use, weathering and organic
matter content. The first two PCs of the short range structure explained 12.6% of the variance,
representing variation according to themajor structural divisions of Europe, and to carbonate
content. The first PC of the intermediate structure explained 7.2% of the variance and was
found to relate to glacial history and Quaternary deposition. Finally, the first three PCs of the
long range structure explained 29.6% of the variance and represented variation due to
mineralisation, soil texture, climate and possibly anthropogenic contamination.
Keywords :
FOREGSFactorial kriging analysisGeochemistryEuropeTopsoilLinear model of coregionalisation
Journal title :
Science of the Total Environment
Journal title :
Science of the Total Environment