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郑州市大气PM2.5中重金属的污染特征、来源及健康风险评估:基于高分辨数据
引用本文:曲光辉,孙俊苹,王申博,姜楠,李利萍,刘洋,陈红阳,马双良.郑州市大气PM2.5中重金属的污染特征、来源及健康风险评估:基于高分辨数据[J].环境科学,2022,43(4):1706-1715.
作者姓名:曲光辉  孙俊苹  王申博  姜楠  李利萍  刘洋  陈红阳  马双良
作者单位:郑州大学化学学院,郑州 450001;郑州大学生态与环境学院,郑州 450001;郑州大学环境科学研究院,郑州450001,河南省生态环境监测中心,郑州450004,郑州大学生态与环境学院,郑州 450001;郑州大学环境科学研究院,郑州450001,郑州大学环境科学研究院,郑州450001
基金项目:国家自然科学基金项目(52170117);河南省重点研发与推广专项(212102310065);国家重点研发计划项目(2017YFC0212403)
摘    要:为了研究城市大气PM2.5中重金属的污染特征和来源,于2017年的7月和10月及2018年的1月和4月,利用在线金属分析仪对郑州市大气PM2.5中的21种元素进行在线检测,分析了重金属浓度变化;通过富集因子、主成分分析和潜在源贡献等方法对重金属进行溯源;采用环境健康风险评价模型评估其健康风险.结果表明,K、 Zn、 Mn、 Pb、 Cu、 As、 Cr和Se的浓度随污染等级的提高而增加;富集因子和主成分分析法结果表明,重金属主要来源为地壳源、混合燃烧源、工业源和机动车源;雷达特征图表明,地壳源主导的污染主要发生在春、冬两季,混合燃烧源主导的污染主要发生在冬季;Pb、 As和Ni受汾渭平原、京津冀和河南南部的传输影响较大,Cd受采样点西北部影响较大;As对成年人和儿童均有显著致癌风险,Pb和Sb对儿童存在显著非致癌风险.

关 键 词:污染特征  富集因子(EFs)  潜在源贡献(PSCF)  主成分分析(PCA)  雷达特征图
收稿时间:2021/6/18 0:00:00
修稿时间:2021/9/10 0:00:00

Pollution Characterization, Source Identification, and Health Risks of Atmospheric Particle-Bound Heavy Metals in PM2.5 in Zhengzhou City: Based on High-resolution Data
QU Guang-hui,SUN Jun-ping,WANG Shen-bo,JIANG Nan,LI Li-ping,LIU Yang,CHEN Hong-yang,MA Shuang-liang.Pollution Characterization, Source Identification, and Health Risks of Atmospheric Particle-Bound Heavy Metals in PM2.5 in Zhengzhou City: Based on High-resolution Data[J].Chinese Journal of Environmental Science,2022,43(4):1706-1715.
Authors:QU Guang-hui  SUN Jun-ping  WANG Shen-bo  JIANG Nan  LI Li-ping  LIU Yang  CHEN Hong-yang  MA Shuang-liang
Institution:College of Chemistry, Zhengzhou University, Zhengzhou 450001, China;College of Ecology and Environment, Zhengzhou University, Zhengzhou 450001, China;Institute of Environmental Science, Zhengzhou University, Zhengzhou 450001, China;Ecological Environment Monitoring Center of Henan Province, Zhengzhou 450004, China
Abstract:In order to study the pollution characteristics and sources of heavy metals in urban atmospheric PM2.5, 21 elements in atmospheric PM2.5 in Zhengzhou City were detected using an online metal analyzer during July and October 2017 and January and April 2018, and the changes in heavy metal concentrations were analyzed. Heavy metals were traced by enrichment factors, principal component analysis, and potential source function. The US EPA risk assessment model was used to assess their health risks. The results showed that:the concentrations of K, Zn, Mn, Pb, Cu, As, Cr, and Se increased with the increase in pollution level. The results of enrichment factors and principal component analysis showed that the main sources of heavy metals were crust, mixed combustion, industry, and motor vehicles. The characteristic radar charts showed that the pollution dominated by crustal sources mainly occurred in spring and winter, whereas the pollution dominated by mixed combustion sources mainly occurred in winter. Pb, As, and Ni were greatly affected by the transport of a fen nutrient-laden plain, Beijing-Tianjin-Hebei, and southern Henan, whereas Cd was greatly affected by the northwest region of the sampling site. As presented a significant carcinogenic risk in both adults and children, whereas Pb and Sb presented a significant non-carcinogenic risk in children.
Keywords:pollution characterization  enrichment factors (EFs)  potential source contribution function (PSCF)  principal component analysis (PCA)  characteristic radar chart
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