Zhang Jian-Fei, Jiang Nan, Duan Shi-Guang, Sun You-Chang, Hao Qi, Zhang Rui-Qin
College of Chemistry, Zhengzhou University, Zhengzhou 450001, China.
Research Institute of Environmental Science, Zhengzhou University, Zhengzhou 450001, China.
Huan Jing Ke Xue. 2020 Nov 8;41(11):4813-4824. doi: 10.13227/j.hjkx.202004099.
The aim of this study was to fully understand the pollution characteristics and sources of PM in Zhengzhou, and to investigate the differences in four seasons and between urban and suburban areas. At the Zhengzhou environmental monitoring center (urban areas) and Zhengzhou University (suburban areas), 1284 environmental PM samples were collected in the four seasons of 2018. The concentrations of nine kinds of inorganic water-soluble ions, organic carbon, elemental carbon and 27 kinds of elements, were measured by ion chromatography, carbon analyzer, and X-ray fluorescence spectrometry, respectively. Enrichment factors (EF), index of geoaccumulation (), potential ecological risk index (RI), chemical mass balance model (CMB), backward trajectory, and potential source contribution function were the methods used to study the chemical component characteristics and source differences of PM in different seasons in the urban and suburban areas of Zhengzhou. The results showed that the annual average PM concentration at the Zhengzhou environmental monitoring center and Zhengzhou University sites reached (59.7±24.0) μg·m and (74.7±13.5) μg·m, respectively. The PM concentration at the suburban point was higher than at the urban point with the exception of winter, and the seasonal mean concentration decreased in the order of winter > autumn > spring > summer. Compared with the urban areas, the suburban areas were more affected by crustal substances in spring, and the concentrations of all components were higher in summer and autumn than the urban areas. Nevertheless, urban areas were more affected by coal burning sources and motor vehicle sources in winter. The component analysis results showed that the influences of soil dust and building dust were greater in the suburbs in spring than in the urban areas. In autumn, the suburbs were more affected by biomass sources than the urban areas, while the urban areas were more affected by building dust than were the suburbs. The concentrations of Cu, As, Zn, Pb, and Sb were strongly influenced by anthropogenic sources, and the enrichments of Zn, Cu, As, and Pb in urban areas were greater than in the suburbs. In addition, Zn, Cu, As, and Pb exhibited potential ecological risks. The outcomes of the CMB model showed that dust sources, secondary sulfate, secondary nitrate, and coal burning sources contributed significantly to PM concentrations in spring, summer, autumn and winter, respectively. The contributions of secondary pollution sources (secondary organic aerosol, secondary sulfate, and secondary nitrate) and motor vehicle sources to urban areas were higher than to suburban areas, and the influences of biomass sources in autumn and winter were significantly higher than in spring and summer and urban areas. The backward trajectory results indicated that the local PM concentration was affected by distant transmission from the northwest except in summer, was affected by neighboring provinces in the east in four seasons, and was affected by transmission from the south, with the exception of winter. Furthermore, the consequences of potential sources demonstrated that the local PM concentration was mainly affected by the potential areas in Henan province and its boundary with neighboring provinces.
本研究旨在全面了解郑州市细颗粒物(PM)的污染特征和来源,并调查四季以及城区和郊区之间的差异。于2018年四季在郑州市环境监测中心(城区)和郑州大学(郊区)采集了1284个环境PM样本。分别采用离子色谱法、碳分析仪和X射线荧光光谱法测定了9种无机水溶性离子、有机碳、元素碳以及27种元素的浓度。富集因子(EF)、地累积指数(Igeo)、潜在生态风险指数(RI)、化学质量平衡模型(CMB)、后向轨迹和潜在源贡献函数是用于研究郑州市城区和郊区不同季节PM化学成分特征和源差异的方法。结果表明,郑州市环境监测中心和郑州大学校点的PM年均浓度分别达到(59.7±24.0)μg·m³和(74.7±13.5)μg·m³。除冬季外,郊区的PM浓度高于城区,季节平均浓度按冬季>秋季>春季>夏季的顺序降低。与城区相比,郊区春季受地壳物质影响更大,夏季和秋季所有组分的浓度均高于城区。然而,城区冬季受燃煤源和机动车源影响更大。成分分析结果表明,春季郊区土壤扬尘和建筑扬尘的影响大于城区。秋季,郊区受生物质源影响大于城区,而城区受建筑扬尘影响大于郊区。Cu、As、Zn、Pb和Sb的浓度受人为源影响较大,城区Zn、Cu、As和Pb的富集程度高于郊区。此外,Zn、Cu、As和Pb存在潜在生态风险。CMB模型结果表明,扬尘源、二次硫酸盐、二次硝酸盐和燃煤源分别对春、夏、秋、冬四季的PM浓度有显著贡献。二次污染源(二次有机气溶胶、二次硫酸盐和二次硝酸盐)和机动车源对城区的贡献高于郊区,生物质源在秋冬季节的影响明显高于春夏季节和城区。后向轨迹结果表明,除夏季外,本地PM浓度受来自西北方向的远距离传输影响,四季均受东部邻省影响,除冬季外受来自南方的传输影响。此外,潜在源的结果表明,本地PM浓度主要受河南省及其与邻省边界的潜在区域影响。