A spatial distribution – Principal component analysis (SD-PCA) model to assess pollution of heavy metals in soil

With the rapid development of urbanization, heavy metal pollution of soil has received great attention. Over-enrichment of heavy metals in soil may endanger human health. Assessing soil pollution and identifying potential sources of heavy metals are crucial for prevention and control of soil heavy m...

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Bibliographic Details
Published in:The Science of the total environment 2023-02, Vol.859 (Pt 1), p.160112, Article 160112
Main Authors: Liu, Jiawei, Kang, Hou, Tao, Wendong, Li, Hanyu, He, Dan, Ma, Lixia, Tang, Haojie, Wu, Siqi, Yang, Kexin, Li, Xuxiang
Format: Article
Language:English
Subjects:
autocorrelation
China
Ecological risk
environment
Environmental Monitoring - methods
Heavy metal pollution
heavy metals
human health
Humans
Metals, Heavy - analysis
Principal Component Analysis
Risk Assessment
SD-PCA model
Soil
Soil Pollutants - analysis
soil pollution
Source analysis
Spatial autocorrelation
Spatial distribution
traffic
urban areas
urbanization
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