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扬州市PM2.5中重金属来源及潜在健康风险评估
引用本文:董世豪,谢扬,皇甫延琦,史旭荣,易睿,史国良,冯银厂.扬州市PM2.5中重金属来源及潜在健康风险评估[J].环境科学,2019,40(2):540-547.
作者姓名:董世豪  谢扬  皇甫延琦  史旭荣  易睿  史国良  冯银厂
作者单位:南开大学环境科学与工程学院, 国家环境保护城市空气颗粒物污染防治重点实验室, 天津 300071;扬州市环境监测中心站,扬州,225009
基金项目:国家重点研发计划项目(2016YFC0208505);国家自然科学基金项目(41775149)
摘    要:本研究利用正定矩阵因子分解模型(PMF)-健康风险评价模型(HMHR)探究了扬州市细颗粒物(PM_(2.5))中重金属污染来源及不同污染源对重金属潜在健康风险值的贡献.结果表明,各重金属全年浓度均值为Pb(64. 4 ng·m~(-3)) Cr(25. 24ng·m~(-3)) As(6. 36 ng·m~(-3)) Ni(5. 36 ng·m~(-3)) Cd(3. 34 ng·m~(-3)) Co(1. 21 ng·m~(-3));各污染源对PM_(2.5)贡献分别为二次源(37. 7%)燃煤源(19. 4%)扬尘(17. 5%)机动车(16. 9%)建筑尘(5. 2%)工业源(3. 4%). As主要源于燃煤、机动车和扬尘; Co主要源于工业源;燃煤源对Pb的浓度贡献较高;工业源对Ni、Cd含量的贡献最高.不同污染源的健康风险依次为扬尘源、燃煤源、机动车、工业源、建筑尘.扬尘源和燃煤源的潜在健康风险较其他污染源为高,与其源谱中重金属元素占比较大且对PM_(2.5)贡献浓度较高有关.

关 键 词:重金属元素  健康风险  致癌风险  正定矩阵因子分解模型(PMF)  PM2.5
收稿时间:2018/5/9 0:00:00
修稿时间:2018/8/21 0:00:00

Source Apportionment and Heath Risk Quantification of Heavy Metals in PM2.5 in Yangzhou, China
DONG Shi-hao,XIE Yang,HUANGFU Yan-qi,SHI Xu-rong,YI Rui,SHI Guo-liang and FENG Yin-chang.Source Apportionment and Heath Risk Quantification of Heavy Metals in PM2.5 in Yangzhou, China[J].Chinese Journal of Environmental Science,2019,40(2):540-547.
Authors:DONG Shi-hao  XIE Yang  HUANGFU Yan-qi  SHI Xu-rong  YI Rui  SHI Guo-liang and FENG Yin-chang
Institution:State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China,Yangzhou Environmental Monitoring Center, Yangzhou 225009, China,State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China,State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China,Yangzhou Environmental Monitoring Center, Yangzhou 225009, China,State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China and State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control, College of Environmental Science and Engineering, Nankai University, Tianjin 300071, China
Abstract:Recently, a new method combining positive matrix factorization (PMF) and heavy metal health risk (HMHR) assessment was proposed to apportion sources of heavy metals in ambient particulate matter and the associated heavy metal cancer health risk (HMCR), which has been applied to data collected in Yangzhou, China. The annual average concentrations of six measured heavy metals were Pb (64.4 ng·m-3), followed by Cr (25.24 ng·m-3), As (6.36 ng·m-3), Ni (5.36 ng·m-3), Cd (3.34 ng·m-3), and Co (1.21 ng·m-3). The results showed that the major sources of PM2.5 were secondary sources (37.7%), followed by coal combustion (19.4%), resuspended dust (17.5%), vehicle emissions (16.9%), construction dust (5.2%), and industrial emissions (3.4%). As was primarily emitted from coal combustion, vehicle emissions, and resuspended dust. Co originated from industry emissions. Pb was mainly emitted from coal combustion. Ni and Cd were from industrial emissions. The major sources that contributed to HMCR were resuspended dust, coal combustion, vehicle emissions, industry emissions, and construction dust. The high contributions of resuspended dust and coal to HMCR were likely due to the high heavy metals concentrations in coal and the resuspended dust profile as well as high emissions of these sources.
Keywords:heavy metals  health risk  cancer risk  positive matrix factorization (PMF)  PM2  5
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