| 刘超琦,宋常志,梁学峰,彭云英,黄青青,孙约兵.安徽省某铜矿区周边农田土壤重金属污染风险评价[J].农业环境科学学报,2025,44(8):2134-2144. |
| 安徽省某铜矿区周边农田土壤重金属污染风险评价 |
| Risk assessment of heavy metals in farmland soils around a copper mining area in Anhui Province，China |
| 投稿时间：2024-08-09 |
| DOI：10.11654/jaes.2024-0694 |
| 中文关键词: 重金属 污染评价 空间分布 APCS-MLR模型 |
| 英文关键词: heavy metals pollution evaluation spatial distribution APCS-MLR model |
| 基金项目:中国农业科学院科技创新工程项目（CAAS-CSGLCA-202302） |
| 作者 | 单位 | E-mail | | 刘超琦 | 东北农业大学资源与环境学院, 哈尔滨 150030
农业农村部产地环境污染防控重点实验室/天津市农业环境与农产品安全重点实验室, 农业农村部环境保护科研监测所, 天津 300191 | | | 宋常志 | 农业农村部产地环境污染防控重点实验室/天津市农业环境与农产品安全重点实验室, 农业农村部环境保护科研监测所, 天津 300191 | | | 梁学峰 | 农业农村部产地环境污染防控重点实验室/天津市农业环境与农产品安全重点实验室, 农业农村部环境保护科研监测所, 天津 300191 | | | 彭云英 | 农业农村部产地环境污染防控重点实验室/天津市农业环境与农产品安全重点实验室, 农业农村部环境保护科研监测所, 天津 300191 | yunyingpeng@163.com | | 黄青青 | 农业农村部产地环境污染防控重点实验室/天津市农业环境与农产品安全重点实验室, 农业农村部环境保护科研监测所, 天津 300191 | | | 孙约兵 | 农业农村部产地环境污染防控重点实验室/天津市农业环境与农产品安全重点实验室, 农业农村部环境保护科研监测所, 天津 300191 | sunyuebing@caas.cn |
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| 中文摘要: |
| 为了阐明矿产资源开发对周边农田土壤重金属富集的影响，以安徽省某铜矿区周边农田土壤为研究对象，研究了矿区周边农田表层土壤（0~20 cm）中重金属Cd、Pb、Zn、Cu、Cr和Ni的含量和空间分布特征，结合单因子指数法、内梅罗综合污染指数法、地累积指数法以及潜在生态风险法评价了矿区土壤重金属污染水平，并采用绝对主成分-多元线性回归（APCS-MLR）模型进行溯源分析。结果表明：研究区域土壤整体偏酸性，Cd、Pb、Zn、Cu、Cr、Ni含量分别为0.14~2.74、3.52~52.90、6.61~109.78、1.47~431.95、1.16~18.42、12.22~59.01 mg·kg-1，其中96.53%土壤调查点位的Cd含量和22.28%土壤调查点位的Cu含量超过农用地土壤污染风险筛选值。单因子污染指数与地累积指数评价结果显示土壤中Cd处于轻微或中等污染水平，内梅罗综合污染指数也表明土壤整体处于中度污染，且主要污染物为Cd和Cu。潜在生态风险评价结果表明，研究区土壤主要生态风险因子为Cd，为中等生态风险等级。APCS-MLR模型源解析表明，土壤中Cd主要来源为矿业活动，Cu主要来自采矿活动和工业源，Zn和Pb以工业源为主，而Cr和Ni则以采矿源为主。研究表明，铜矿区工业活动会导致周边农田存在Cd污染风险。 |
| 英文摘要: |
| To elucidate investigate the influence of mineral resource exploitation on heavy metal enrichment in surrounding farmland soils, this study investigated the contents and spatial distribution of heavy metals（Cd, Pb, Zn, Cu, Cr, and Ni）in the surface layer （0-20 cm）of farmland soils around the copper mining area in Anhui Province. The levels of heavy metals were evaluated by using single factor index Nemero integrated pollution index, geo-accumulation index, and potential ecological risk index. Source analysis was performed by using Absolute Principal Component Sore-Multiple Linear Regression（APCS-MLR） model. Results showed that the study area predominantly exhibited acidic soil, with Cd, Pb, Zn, Cu, Cr, and Ni contents averaging 0.14-2.74, 3.52-52.90, 6.61-109.78, 1.47- 431.95, 1.16-18.42, and 12.22-59.01 mg·kg-1, respectively. Approximately 96.53% of the tested soil samples exceeded Cd risk screening value and 22.28% exceeded the Cu screening value of Soil Environmental Quality Risk Control Standard for Soil Contamination of Agricultural Land（GB 15618—2018）. Cd was identified as slight or medium polluted based on single factor pollution and geo- accumulation indices, while the Nemerow index indicated overall medium pollution dominated by Cd and Cu. Potential ecological risk assessment showed that Cd was the main ecological risk factor in the study area, exhibiting a moderate ecological risk level. APCS-MLR model source analysis indicated that soil Cd were mainly from mining, Cu sources mainly derived from mining and industrial activities, Zn and Pb were mainly from industry sources, and while Cr and Ni were primarily from mining sources. In conclusion, industrial activities in the copper mining area may lead to the risk of Cd pollution in the surrounding farmland. |
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