State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China.
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Beijing 100875, China.
Sci Total Environ. 2018 Jan 15;612:138-147. doi: 10.1016/j.scitotenv.2017.08.123. Epub 2017 Sep 1.
To analyze the spatial distribution patterns, risks, and sources of heavy metals (As, Cd, Cr, Cu, Hg, Mn, Ni, Pb, Zn, Fe), 36 road dust samples were collected from an urbanized area of Beijing in June 2016. The mean concentration of most metals, except As and Mn, exceeded their corresponding background values, with the mean concentration of Cd being 8 times that of its background. Spatially, for most heavy metals, except As and Mn, the high concentration areas were mainly within the 5th ring road, especially the northern area. The geo-accumulation index of Cd and Cu indicated moderate contamination at many sites. The entire study area was prone to potential ecological risks, with higher risks within the 4th ring road. Cd caused high potential ecological risk at most sites. According to the health risk assessment results, the non-carcinogenic risks that human beings suffered from heavy metals were insignificant. However, the carcinogenic risks due to Ni and Cr exceeded the acceptable level. Based on the source apportionment using positive matrix factorization, four factors were defined for the heavy metals. Factor 1, which was traffic-related exhaust, accounted for 34.47% of the concentration of heavy metals. The contributions of Factors 2 and 3 were approximately 25% each. Factor 2 was potentially related to coal combustion, while Factor 3 could be related to the manufacture and use of metal components. Factor 4, which could be related to the use of pesticides, fertilizers, and medical devices, accounted for 14.88%, which was the lowest.
为分析重金属(砷、镉、铬、铜、汞、锰、镍、铅、锌、铁)的空间分布模式、风险和来源,于 2016 年 6 月在北京城市化地区采集了 36 个道路灰尘样本。除砷和锰外,大多数金属的平均浓度均超过其相应的背景值,镉的平均浓度是其背景值的 8 倍。空间上,除砷和锰外,大多数重金属的高浓度区主要位于五环路内,尤其是北部地区。镉和铜的地积累指数表明许多地点存在中度污染。整个研究区具有潜在的生态风险,四环路内的风险更高。镉导致大多数地点存在高潜在生态风险。根据健康风险评估结果,人类受重金属的非致癌风险不显著。然而,镍和铬的致癌风险超过了可接受水平。基于正定矩阵因子分析的源解析,确定了重金属的四个因子。因子 1 与交通相关的废气有关,占重金属浓度的 34.47%。因子 2 和因子 3 的贡献率约各占 25%。因子 2 可能与煤炭燃烧有关,而因子 3 可能与金属部件的制造和使用有关。因子 4 可能与农药、化肥和医疗器械的使用有关,占 14.88%,这是最低的。