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2017年深圳市大气PM2.5污染状况及其来源解析研究
引用本文:严宙宁,牟敬锋,严燕,余淑苑,李斌.2017年深圳市大气PM2.5污染状况及其来源解析研究[J].实用预防医学,2019,26(10):1172-1176.
作者姓名:严宙宁  牟敬锋  严燕  余淑苑  李斌
作者单位:1.深圳市南山区疾病预防控制中心,广东 深圳 518054; 2.深圳市疾病预防控制中心,广东 深圳 518055; 3.深圳市龙岗区疾病预防控制中心,广东 深圳 518172
基金项目:深圳市科技创新委员会科技计划项目(项目编号:JCYJ20170306103652632)
摘    要:目的 探讨深圳市大气PM2.5污染状况及其污染来源,为防治空气污染和保护人群健康提供参考依据。 方法 于2017年1-12月每月10-16日分别在深圳市南山区和龙岗区各设置一个监测点采集大气PM2.5样品,分析样品PM2.5质量浓度及PM2.5中多环芳烃、重金属和水溶性离子含量,采用因子分析法对PM2.5污染来源进行分析。 结果 研究期间南山区和龙岗区PM2.5质量浓度中位数分别为0.041 mg/m3、0.039 mg/m3(Z=-0141,P=0.888),超标率分别为8.333%、7.143%(χ2=5.063,P=0.018)。因子分析法源解析发现:多环芳烃污染源为汽车尾气(南山区和龙岗区贡献率分别为49.986%、54.226%)、燃煤(南山区和龙岗区贡献率分别为16.936%、19.669%)和工业原料(南山区和龙岗区贡献率分别为9.270%、8.353%);水溶性离子污染源为汽车尾气、工业污染(贡献率为58.694%)和燃煤(贡献率为27.751%);重金属元素污染源为汽车尾气、工业冶金(南山区和龙岗区贡献率分别为55.993%、62.004%)和建筑尘(南山区和龙岗区贡献率分别为21.875%、11.051%)。 结论 2017年深圳市大气PM2.5污染较轻,其主要来源于汽车尾气、工业、燃煤尘的复合污染。

关 键 词:PM2.5  因子分析  多环芳烃  水溶性离子  重金属  
收稿时间:2018-12-25

Pollution status and source apportionment ofatmospheric particulates (PM2.5) in Shenzhen city
YAN Zhou-ning,MOU Jing-feng,YAN Yan,YU Shu-yuan,LI Bin.Pollution status and source apportionment ofatmospheric particulates (PM2.5) in Shenzhen city[J].Practical Preventive Medicine,2019,26(10):1172-1176.
Authors:YAN Zhou-ning  MOU Jing-feng  YAN Yan  YU Shu-yuan  LI Bin
Institution:1. Nanshan District Center for Disease Control and Prevention, Shenzhen, Guangdong 518054, China; 2. Shenzhen Municipal Center for Disease Control and Prevention, Shenzhen, Guangdong 518055, China; 3. Longgang District Center for Disease Control and Prevention, Shenzhen, Guangdong 518172, ChinaCorresponding
Abstract:Objective To explore the pollution status and source apportionment of PM2.5 in Shenzhen city, and to provide a basis for air pollution abatement and health protection. Methods PM2.5 samples of two monitoring sites in Nanshan district and Longgang district, Shenzhen city were collected on 10th-16th of every month from January to December 2017. PM2.5 concentration and the content of polycyclic aromatic hydrocarbons (PAHs), heavy metals and water-soluble ions in PM2.5 were measured, and the data were processed by factor analysis for the purpose of PM2.5 source identification. Results The median concentration of PM2.5 in Nanshan district and Longgang district was respectively 0.041 mg/m3 and 0.039 mg/m3 (Z=-0141, P=0.888), and the over-standard rates were respectively 8.333% and 7.143% (χ2=5.063, P=0.018 ). Source apportionment results derived from factor analysis showed that PAHs pollution sources were automobile exhaust (the contribution rates of Nanshan district and Longgang district were respectively 49.986% and 54.226%), coal combustion (the contribution rates of Nanshan district and Longgang district were respectively 16.936% and 19.669%) and industrial raw materials (the contribution rates of Nanshan district and Longgang district were respectively 9.270% and 8.353%). Water-soluble ion pollution sources were automobile exhaust, industrial pollution (the contribution rate was 58.694%) and coal combustion (the contribution rate was 27.751%). Heavy metal pollution sources were automobile exhaust, industrial metallurgy (the contribution rates of Nanshan district and Longgang district were respectively 55.993% and 62.004%) and construction dust (the contribution rates of Nanshan district and Longgang district were respectively 21.875% and 11.051%). Conclusions PM2.5 pollution in Shenzhen city in 2017 was relatively light, and it was primarily derived from combined sources from automobile exhaust, industrial dusts and coal combustion.
Keywords:PM2  5  factor analysis  polycyclic aromatic hydrocarbon  water soluble ion  heavy metal  
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