| 基于源导向的农用地土壤重金属健康风险评估及优先控制因子分析 |
| 摘要点击 811 全文点击 243 投稿时间：2023-03-11 修订日期：2023-04-07 |
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| 中文关键词 土壤 重金属 正定矩阵因子分解（PMF）模型 蒙特卡罗 健康风险评估 重庆 |
| 英文关键词 soil heavy metals PMF model Monte Carlo health risk assessment Chongqing |
| 作者 | 单位 | E-mail | | 马杰 | 重庆市生态环境监测中心, 重庆 401147
有机污染物环境化学行为与生态毒理重庆市重点试验室, 重庆 401147 | pony312@qq.com | | 葛淼 | 重庆市生态环境监测中心, 重庆 401147
有机污染物环境化学行为与生态毒理重庆市重点试验室, 重庆 401147 | | | 王胜蓝 | 重庆市生态环境监测中心, 重庆 401147
有机污染物环境化学行为与生态毒理重庆市重点试验室, 重庆 401147 | | | 邓力 | 重庆市生态环境监测中心, 重庆 401147
有机污染物环境化学行为与生态毒理重庆市重点试验室, 重庆 401147 | | | 孙静 | 重庆市生态环境监测中心, 重庆 401147
有机污染物环境化学行为与生态毒理重庆市重点试验室, 重庆 401147 | 58000915@qq.com | | 蒋月 | 重庆市生态环境监测中心, 重庆 401147
有机污染物环境化学行为与生态毒理重庆市重点试验室, 重庆 401147 | | | 周林 | 重庆市生态环境监测中心, 重庆 401147
有机污染物环境化学行为与生态毒理重庆市重点试验室, 重庆 401147 | |
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| 中文摘要 |
| 以重庆市农产品主产区为研究对象,运用正定矩阵因子分解（PMF）受体模型对土壤重金属进行源解析,运用蒙特卡罗模拟的健康风险评估（HRA）模型,探析土壤重金属对人体的健康风险,并将PMF受体模型和HRA模型结合,探讨不同污染源影响下的土壤健康风险,确定优先管控要素.结果表明,研究区土壤Cd均值含量远高于背景值,Cr均值含量低于背景值,As、Pb、Cu、Ni和Zn均值含量与背景值基本持平.PMF受体模型源解析结果表明,研究区土壤受自然源、工业源和农业源影响,贡献率分别为35%、24%和41%.HRA模型评估结果表明,研究区土壤重金属对儿童和成人存在可耐受致癌健康风险（1.00E-6<TCR ≤ 1.00E-4）,非致癌健康风险可忽略（HI ≤ 1）,经口摄入是主要的暴露途径.土壤重金属、污染源与健康风险关系的分析结果表明,研究区工业源和As为首要管控要素,农业源和Cd为次要管控要素.研究结果为研究区有针对性开展土壤污染防治和提供降低土壤污染管理成本提供科学支撑. |
| 英文摘要 |
| To analyze the source apportionment and health risk of heavy metals in agricultural soils of major producing areas of agricultural products in Chongqing, a positive matrix factorization (PMF) model and health risk assessment (HRA) model based on Monte Carlo simulation were used. Meanwhile, both the PMF and HRA model were combined to explore health risks of heavy metals in agricultural soils by different pollution sources in order to determine the priority control factors. The results showed that the average values of Cd concentration were higher than its corresponding background value; the average values of Cr concentration were lower than its corresponding background value; and the average values of As, Pb, Cu, Ni, and Zn concentration were basically consistent with their corresponding background values. Using PMF model analysis, natural sources, industrial sources, and agricultural sources were identified as the determinants for the accumulation of heavy metals in agricultural soils, with the contribution rates of 35%, 24%, and 41%, respectively. Using the HRA model based on Monte Carlo simulation analysis, carcinogenic risks of adult and children were tolerable (1.00E-6 < TCR ≤ 1.00E-4), whereas non-carcinogenic risks were acceptable (HI ≤ 1). Oral ingestion was the main exposure pathway. The analysis results of the relationship among heavy metals, pollution sources, and health risks showed that industrial pollution and As were identified as priority control factors, and agricultural pollution and Cd were identified as secondary control factors. Our findings provide scientific support for decision makers to control soil pollution and reduce the management costs of soil pollution. |
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