ArticleScientific reports2025
A combined model method was used to identify the main influencing factors of soil heavy metal pollution sources in Qian river, China.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The issue of soil heavy metal contamination has garnered significant global attention, with the identification of heavy metal sources and their driving factors being crucial for the prevention and management of soil heavy metal pollution. This study introduces a comprehensive source-driver model integrating the Positive Matrix Factorization (PMF) model, Geographically Weighted Regression (GWR), and Geo-detector Model (GDM). Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was employed to quantify the concentrations of eight heavy metals in the soils of the lower reaches of the Qian River. The findings revealed that: (1) The average concentrations of the 8 heavy metals did not exceed the risk screening thresholds for soil environmental quality. Specifically, the mean concentrations of Ni, Zn, As, and Cd were 42.16, 102.07, 18.23, and 0.32 mg kg
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