Liang Jiahui, Liu Zhaoyue, Tian Yiqi, Shi Huading, Fei Yang, Qi Jingxian, Mo Li
Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.
Chinese Research Academy of Environmental Sciences, Beijing 100012, China; Technical Centre for Soil, Agriculture and Rural Ecology and Environment, Ministry of Ecology and Environment, Beijing 100012, China.
Sci Total Environ. 2023 Feb 1;858(Pt 3):159991. doi: 10.1016/j.scitotenv.2022.159991. Epub 2022 Nov 5.
Environmental problems caused by heavy metal pollution in soil have attracted widespread attention worldwide. Identifying and quantifying the heavy metal pollution sources and risks is crucial for subsequent soil management. In this study, an integrated source-risk method for source apportionment and risk assessment based on the PMF model, the geodetector model and the health risk assessment model (HRA) was proposed and applied. Analysis of Hg, As, Pb, Cd, Cu, Ni, Cr, and Zn in 208 topsoils showed that the average contents of eight heavy metals were 1.87-5.86 times greater than corresponding background values, among which Cd and As were relatively high, which were higher than the specified soil risk screening values, high-value areas of heavy metals are mainly concentrated in the central part of the study area. The source apportionment showed that the accumulation of heavy metals was affected by five sources: atmospheric deposition (16.3 %), natural sources (33.1 %), industrial activities dominated by metal mining (15.1 %), industrial activities dominated by metal smelting (12.6 %) and traffic sources (22.9 %). The results of the health risk assessment showed that the carcinogenic risks (adult: 4.74E-05, children: 7.41E-05) of heavy metals in soil to the study population were both acceptable, the non-carcinogenic risk of adult (THI = 0.277) was within the limit, while the non-carcinogenic risk of children (THI = 1.70) was higher than the limit value. Ingestion (89.5 %-95.9 %) contributed the greatest health risk among all exposure routes. Source 3 (arsenic-related industrial activities dominated by metal mining) contributed the most to the HI and CRI of adults and children (all above 50 %), therefore, in the formulation stage of soil management strategy in this area, priority should be given to the control and management of this pollution source. These results can provide more detailed support for environmental protection departments to propose targeted soil pollution control measures.
土壤中重金属污染所引发的环境问题已引起全球广泛关注。识别并量化重金属污染源及风险对于后续土壤管理至关重要。本研究提出并应用了一种基于PMF模型、地理探测器模型和健康风险评估模型(HRA)的用于源解析和风险评估的综合源-风险方法。对208份表层土壤中的汞、砷、铅、镉、铜、镍、铬和锌进行分析表明,8种重金属的平均含量比相应背景值高1.87至5.86倍,其中镉和砷含量相对较高,高于规定的土壤风险筛选值,重金属高值区主要集中在研究区域中部。源解析表明,重金属的积累受五种来源影响:大气沉降(16.3%)、自然源(33.1%)、以金属采矿为主的工业活动(15.1%)、以金属冶炼为主的工业活动(12.6%)和交通源(22.9%)。健康风险评估结果表明,土壤中重金属对研究人群的致癌风险(成人:4.74E-05,儿童:7.41E-05)均在可接受范围内,成人的非致癌风险(THI = 0.277)在限值内,而儿童的非致癌风险(THI = 1.70)高于限值。在所有暴露途径中,摄入(89.5%-95.9%)对健康风险的贡献最大。源3(以金属采矿为主的砷相关工业活动)对成人和儿童的危害指数(HI)和致癌风险指数(CRI)贡献最大(均超过50%),因此,在该区域土壤管理策略制定阶段,应优先控制和管理该污染源。这些结果可为环保部门提出针对性的土壤污染控制措施提供更详细的支持。