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Combining raw and compositional data to determine the spatial patterns of Potentially Toxic Elements in soils
C Boente1, M T D Albuquerque2, A Fernández-Braña1
1INDUROT, Environmental Technology, Biotechnology, and Geochemistry Group, Universidad de Oviedo, Campus de Mieres, 33600 Mieres, Asturias, Spain.
This study maps Potentially Toxic Elements (PTEs) in Langreo, Spain, revealing industrial pollution. The research highlights spatial trends of PTEs, identifying specific elements like lead and mercury concentrated in the city center.
Area of Science:
- Environmental Science
- Geochemistry
- Spatial Analysis
Background:
- Environmental characterization benefits from data dimensionality reduction for clearer insights.
- Mapping contaminant distribution and identifying enriched areas are crucial for understanding spatial patterns.
- Potentially Toxic Elements (PTEs) analysis in soil is vital for assessing environmental contamination.
Purpose of the Study:
- To introduce and apply a novel approach for studying the fate and spatial dissemination trends of 15 Potentially Toxic Elements (PTEs).
- To investigate the variability of PTE proportions and their spatial patterns in Langreo's soil.
- To combine raw and compositional data analysis for a comprehensive understanding of PTEs.
Main Methods:
- Measurement of 15 Potentially Toxic Elements (PTEs) in soil samples from Langreo, Spain.
- Application of Relative Enrichment (RE) concept to study PTE proportions.
- Utilizing Centered Log-ratio (clr) transformation and back-transformation for compositional data analysis.
- Integrating raw and compositional data for spatial characterization of PTEs.
Main Results:
- Spatial patterns of PTE concentrations and relative enrichment were identified.
- The study revealed trends in the spatial dissemination of PTEs.
- The Langreo area shows significant impact from its industrial and mining legacy.
- Lead (Pb) and Mercury (Hg) are highly enriched in the city center; Arsenic (As) shows enrichment towards the northwest.
Conclusions:
- The industrial and mining legacy profoundly affects the Langreo area.
- Spatial analysis of PTEs, considering compositional data, is effective in identifying pollution sources and trends.
- The novel approach provides valuable insights into PTE fate and dissemination.
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