| 成都市冬季大气颗粒物组成特征及来源变化趋势 |
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| 引用本文： | 张彩艳,吴建会,张 普,张裕芬,吴 虹,史国良,冯银厂.成都市冬季大气颗粒物组成特征及来源变化趋势[J].环境科学研究,2014,27(7):782-789. |
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| 作者姓名： | 张彩艳 吴建会 张 普 张裕芬 吴 虹 史国良 冯银厂 |
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| 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;成都市环境保护科学研究院; |
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| 基金项目： | 国家自然科学基金项目(41205089,21207069,21207070) |
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| 摘 要： | 2010—2012年冬季分别在成都市8个环境受体采样点采集PM10、PM2.5样品,同时采集颗粒物源类样品,分析上述样品质量浓度及多种无机元素、水溶性离子和碳组分的含量,以对这3 a冬季大气颗粒物浓度、特征组分、来源及变化趋势进行分析.使用CMB-iteration模型对成都市中心城区的PM10、PM2.5进行来源解析.结果表明:成都市冬季ρ(PM10)在工业区最高,PM2.5污染呈现区域性特征;冬季PM10的主要来源有扬尘、二次硫酸盐、煤烟尘、二次硝酸盐和机动车尾气尘,上述5类源在2010─2012年的分担率分别为24%~29%、17%~22%、13%~16%、6%~12%、6%~11%;对PM2.5有重要贡献的源类有二次硫酸盐、扬尘、煤烟尘、二次硝酸盐和机动车尾气尘,这5类源在2010─2012年的分担率范围分别为25%~27%、19%~22%、12%~15%、11%~13%、8%~11%.二次粒子、扬尘等是成都市大气颗粒物的主要污染源,其中扬尘、建筑水泥尘等以粗粒子为主的源类浓度贡献呈逐年下降趋势,而二次粒子等以细粒子为主的源类浓度贡献则逐年上升,成都市冬季大气细颗粒物污染加重.
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| 关 键 词： | PM PM. 源解析 CMB-iteration模型 变化趋势 |
| 收稿时间： | 2013/6/13 0:00:00 |
| 修稿时间： | 2014/1/2 0:00:00 |
Particulate Composition and Source Apportionment Trends in Winter in Chengdu |
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| ZHANG Cai-yan,WU Jian-hui,ZHANG Pu,ZHANG Yu-fen,WU Hong,SHI Guo-liang and FENG Yin-chang.Particulate Composition and Source Apportionment Trends in Winter in Chengdu[J].Research of Environmental Sciences,2014,27(7):782-789. |
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| Authors: | ZHANG Cai-yan WU Jian-hui ZHANG Pu ZHANG Yu-fen WU Hong SHI Guo-liang and FENG Yin-chang |
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| 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;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;Chengdu Academy of Environmental Sciences, Chengdu 610000, 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;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 |
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| Abstract: | |
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| Keywords: | PM10 PM2 5 source apportionment CMB-iteration model variation trends |
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