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基于APCS-MLR受体模型的江西省宜丰县土壤重金属来源分析与生态风险评估

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

作者信息

Tang Zhi-Min, Zhou Mo, Zhang Ming, Zhang Xiao-Dong, Tian Fu-Jin, Liu Bing-Quan, Zhou Qiang-Qiang, Weng Bang-Yong, Jiang Hong-Yu

机构信息

Nanjing Center, China Geological Survey, Nanjing 210016, China.

Basic Geological Survey Institute of Jiangxi Geological Survey and Exploration Institute, Nanchang 330030, China.

出版信息

Huan Jing Ke Xue. 2025 Jul 8;46(7):4674-4683. doi: 10.13227/j.hjkx.202405243.

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.

摘要

土壤中重金属的富集是自然过程和人为活动共同作用的结果。开展土壤重金属的源解析及生态风险评估是服务于土壤重金属污染防治的必要手段。为明确江西省宜丰县土壤中重金属的来源及生态风险特征,采集了表层土壤样品,分析了重金属含量及pH值。应用绝对主成分得分-多元线性回归(APCS-MLR)受体模型解析土壤中重金属的来源,并定量计算各源的贡献率。基于地累积指数法和潜在生态风险指数法对土壤中重金属的生态风险进行评价。同时,利用地理信息系统(GIS)探究土壤中重金属的空间分布格局。结果表明,宜丰县土壤中(As)、(Cd)、(Cr)、(Cu)、(Hg)、(Ni)、(Pb)和(Zn)的平均值分别为9.7、0.211、68、25、0.113、24、37和87 mg·kg,均高于江西省土壤背景值。在地质背景控制下,As、Cr、Cu和Ni的高含量区与区内青白口变质岩建造分布一致,而Cd、Hg、Pb和Zn的空间分布因人为活动与岩性分布存在显著差异。生态风险评估发现,宜丰县土壤重金属污染风险总体较低,但局部存在轻度污染和中度风险,主要由As、Cd和Hg所致。APCS-MLR受体模型识别出重金属的3个来源。As、Cr、Cu和Ni主要来源于自然源,贡献率分别为80.06%、69.92%、80.49%和94.27%。Pb和Zn主要源于交通活动贡献了74.73%和66.99%的总体污染。此外,Cd和Hg主要受工农业源影响,贡献率分别为43.62%和58.09%。上述研究可为宜丰县土壤污染防治提供数据和理论支撑。

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