Multivariate analysis applied to X-ray fluorescence to assess soil contamination pathways: case studies of mass magnetic susceptibility in soils near abandoned coal and W/Sn mines.
Geochemistry
Magnetic minerals
Metal contamination
PCA and cluster analysis
Regression analyses
XRF spectra
Journal
Environmental geochemistry and health
ISSN: 1573-2983
Titre abrégé: Environ Geochem Health
Pays: Netherlands
ID NLM: 8903118
Informations de publication
Date de publication:
02 May 2024
02 May 2024
Historique:
received:
02
01
2024
accepted:
06
04
2024
medline:
2
5
2024
pubmed:
2
5
2024
entrez:
2
5
2024
Statut:
epublish
Résumé
Determining the origin and pathways of contaminants in the natural environment is key to informing any mitigation process. The mass magnetic susceptibility of soils allows a rapid method to measure the concentration of magnetic minerals, derived from anthropogenic activities such as mining or industrial processes, i.e., smelting metals (technogenic origin), or from the local bedrock (of geogenic origin). This is especially effective when combined with rapid geochemical analyses of soils. The use of multivariate analysis (MVA) elucidates complex multiple-component relationships between soil geochemistry and magnetic susceptibility. In the case of soil mining sites, X-ray fluorescence (XRF) spectroscopic data of soils contaminated by mine waste shows statistically significant relationships between magnetic susceptibility and some base metal species (e.g., Fe, Pb, Zn, etc.). Here, we show how qualitative and quantitative MVA methodologies can be used to assess soil contamination pathways using mass magnetic susceptibility and XRF spectra of soils near abandoned coal and W/Sn mines (NW Portugal). Principal component analysis (PCA) showed how the first two primary components (PC-1 + PC-2) explained 94% of the sample variability, grouped them according to their geochemistry and magnetic susceptibility in to geogenic and technogenic groups. Regression analyses showed a strong positive correlation (R
Identifiants
pubmed: 38696051
doi: 10.1007/s10653-024-01988-3
pii: 10.1007/s10653-024-01988-3
doi:
Substances chimiques
Soil Pollutants
0
Soil
0
Tin
7440-31-5
Coal
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
202Informations de copyright
© 2024. The Author(s).
Références
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