| 基于APCS-MLR受体模型的江西省宜丰县土壤重金属来源解析及生态风险评价 |
| 摘要点击 186 全文点击 12 投稿时间：2024-05-24 修订日期：2024-08-11 |
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| 中文关键词 土壤 重金属 来源 APCS-MLR受体模型 生态风险 |
| 英文关键词 soil heavy metal source APCS-MLR receptor model ecological risk |
| 作者 | 单位 | E-mail | | 唐志敏 | 中国地质调查局南京地质调查中心, 南京 210016 | 894431121@qq.com | | 周墨 | 中国地质调查局南京地质调查中心, 南京 210016 | zhoumo407@126.com | | 张明 | 中国地质调查局南京地质调查中心, 南京 210016 | | | 张晓东 | 中国地质调查局南京地质调查中心, 南京 210016 | | | 田福金 | 中国地质调查局南京地质调查中心, 南京 210016 | | | 刘冰权 | 江西省地质调查勘查院基础地质调查所, 南昌 330030
江西有色地质矿产勘查开发院, 南昌 330030 | | | 周强强 | 江西省地质调查勘查院基础地质调查所, 南昌 330030
江西有色地质矿产勘查开发院, 南昌 330030 | | | 文帮勇 | 江西省地质调查勘查院基础地质调查所, 南昌 330030
江西有色地质矿产勘查开发院, 南昌 330030 | | | 姜宏裕 | 江西省地质调查勘查院基础地质调查所, 南昌 330030
江西有色地质矿产勘查开发院, 南昌 330030 | |
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| 中文摘要 |
| 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，开展土壤重金属来源解析及生态风险评价是服务土壤重金属污染防治的必要手段. 为查明江西省宜丰县土壤中重金属来源及其生态风险特征，采集分析了宜丰县表层土壤中重金属含量以及pH值等指标，采用绝对主成分得分-多元线性回归（APCS-MLR）受体模型解析了土壤中重金属来源并定量计算了各来源贡献率，基于地累积指数法和潜在生态风险指数法对土壤重金属生态风险进行了评价，同时采用GIS技术对土壤重金属的空间分布规律进行了探讨. 结果显示，宜丰县土壤中ω（As）、 ω（Cd）、 ω（Cr）、 ω（Cu）、 ω（Hg）、 ω（Ni）、 ω（Pb）和ω（Zn）的平均值分别为9.7、 0.211、 68、 25、 0.113、 24、 37和87 mg·kg-1，均高于江西省土壤背景值. 受地质背景控制，土壤As、Cr、Cu和Ni的高含量区与区内青白口系变质岩建造的分布相吻合，受人为活动干扰，Cd、Hg、Pb和Zn的空间分布与岩石建造类型分布呈现显著差异. 生态风险评价发现宜丰县土壤重金属污染风险总体较低，但局部存在以As、Cd和Hg为主的轻微污染和中等风险. APCS-MLR受体模型解析出了3个重金属来源：As、Cr、Cu和Ni主要为自然来源，贡献率分别为80.06%、 69.92%、 80.49%和94.27%，Pb和Zn主要为交通来源，贡献率分别为74.73%和66.99%，Cd和Hg主要受工农业来源的控制，贡献率分别为43.62%和58.09%. 研究结果可为宜丰县土壤污染防治提供数据理论支撑. |
| 英文摘要 |
| 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 ω（As）， ω（Cd）， ω（Cr）， ω（Cu）， ω（Hg）， ω（Ni）， ω（Pb）， and ω（Zn） in the soil of the Yifeng County were 9.7， 0.211， 68， 25， 0.113， 24， 37， and 87 mg·kg-1， 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. |
