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[Source Analysis and Ecological Risk Assessment of Heavy Metals in Soil of the Yifeng County, Jiangxi Province Based on APCS-MLR Receptor Model]. | LitMetric

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Article Abstract

The enrichment of heavy metals in soil is a consequence of both natural processes and anthropogenic activities. Conducting source analysis and ecological risk assessment of heavy metals in soil is a necessary approach for serving the prevention and control of soil heavy metal pollution. To identify the sources and ecological risk characteristics of heavy metals in the soil of Yifeng County, Jiangxi Province, surface soil samples were collected, and the heavy metal content and pH value were analyzed. The absolute principal component score-multiple linear regression (APCS-MLR) receptor model was applied to analyze the sources of heavy metals in the soil, and the contribution rates of each source were quantitatively calculated. The ecological risk of heavy metals in the soil was evaluated based on the geo-accumulation index method and the potential ecological risk index method. Meanwhile, GIS was utilized to explore the spatial distribution pattern of heavy metals in the soil. The results showed that the average values of (As), (Cd), (Cr), (Cu), (Hg), (Ni), (Pb), and (Zn) in the soil of the Yifeng County were 9.7, 0.211, 68, 25, 0.113, 24, 37, and 87 mg·kg, respectively, which were higher than the soil background values of the Jiangxi Province. Controlled by geological settings, the high content areas of As, Cr, Cu, and Ni were consistent with the distribution of the Qingbaikou metamorphic rock formations in the area, and the spatial distribution of Cd, Hg, Pb, and Zn showed significant differences from the distribution of rock formation types due to anthropogenic activities. The ecological risk assessment found that the risk of soil heavy metal pollution in the Yifeng County was relatively low on the whole, but there were local occurrences of slight pollution and moderate risk mainly caused by As, Cd, and Hg. The APCS-MLR receptor model identified three sources of heavy metals. Arsenic, Cr, Cu, and Ni were predominantly derived from natural sources, with contribution rates of 80.06%, 69.92%, 80.49%, and 94.27%, respectively. Lead and Zn primarily originated from transportation activities, contributing 74.73% and 66.99% to the overall contamination. Furthermore, Cd and Hg were predominantly influenced by industrial and agricultural sources, with respective contribution rates of 43.62% and 58.09%. The above research can provide data and theoretical support for soil pollution prevention and control in the Yifeng County.

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http://dx.doi.org/10.13227/j.hjkx.202405243DOI Listing

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