Regional Farmland Soil Heavy Metal Pollution Risk Assessment and Source Apportionment Based on Multi-Model Integration

May 1, 2026EARTH AND ENVIRONMENT

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This research aims to evaluate heavy metal pollution in farmland soil and identify its sources in Qingyuan, Guangdong.
Utilized multiple models: single factor index method, geo-accumulation index, comprehensive pollution index, and potential ecological risk index.
Applied absolute principal component analysis and multivariate linear regression to identify pollution sources and quantify their contribution.
Identified pollution levels of lead, cadmium, mercury, arsenic, chromium, and copper.
All heavy metal mean levels, except Pb, were slightly above local background values, indicating spatial distribution inconsistency.
Most sampling points showed light pollution or low risk, overall demonstrating moderate pollution and medium ecological risk.
Four pollution sources identified: natural sources from carbonate lithology, atmospheric deposition, granite lithology, and an agricultural-combined source.

Assesses heavy metal pollution sources and risks in farmland soil, indicating need for targeted management.

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Mo et al. (2026) studied this question.

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