首尔特大城市 PM2.5 与 PM1.0 和 PM10 的质量关系特征

IF 1.1 Q4 METEOROLOGY & ATMOSPHERIC SCIENCES
Jihyun Han, Seahee Lim, Meehye Lee, Young Jae Lee, Gangwoong Lee, Changsub Shim, Lim-Seok Chang
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引用次数: 0

摘要

本研究考察了首尔 PM2.5 与 PM1.0 和 PM10 的相关特性。通常每天用过滤器采集样本,并在几次雾霾天气(2007 年 3 月至 2008 年 6 月)期间进行了几小时的采样。PM1.0、PM2.5 和 PM10 的平均质量浓度分别为 19.7 μg/m3、26.0 μg/m3 和 48.2 μg/m3,PM2.5 与 PM1.0(γ=0.79)和 PM10(γ=0.52)具有合理的相关性。主要分为三个质量组类型。第 1 组(31%):PM1.0 与 PM10 呈线性增长,OC 和 NO3- 较高;第 2 组(17%):PM10明显高于PM1.0,Ca2+和SO42-含量高;第3组(52%):PM1.0比PM10相对增强,碳质组分相对质量最高。第 2 组(第 3 组)的细模组分最低(最高)。非负矩阵因式分解分析表明,与交通相关的城市一次排放(28%)和燃煤工业排放(27%)对 PM2.5 质量的贡献相同,其次是老化的城市二次排放(19%)、土壤矿物排放(16%)和生物质燃烧排放(10%)。空气质量轨迹有明显的季节性变化。在温暖季节的停滞条件下和寒冷季节的强北风条件下,城市一次源和燃煤工业源分别在第 3 组中占主导地位。然而,其他三个因子在第 1 组和第 2 组的贡献率较高。这项研究表明,首尔的 PM2.5 质量在很大程度上取决于主要发生在寒冷季节的高浓度事件。研究还表明,在温暖的月份里,本地排放物的贡献很大,而在寒冷的月份里,中国外流的影响则占主导地位。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of PM2.5 Mass in Relation to PM1.0 and PM10 in Megacity Seoul

This study examines the PM2.5 characteristics in Seoul in relation to those of PM1.0 and PM10. Samples were typically collected daily on filters and a few hours sampling were conducted during a few haze events (March 2007 to June 2008). Mean mass concentrations of PM1.0, PM2.5, and PM10 were 19.7 μg/m3, 26.0 μg/m3, and 48.2 μg/m3, respectively, and PM2.5 was reasonably correlated with PM1.0 (γ=0.79) and PM10 (γ=0.52). Three mass group types were mainly distinguished. Group 1 (31%): linear increase of PM1.0 with PM10 and high OC and NO3; Group 2 (17%): PM10 considerably higher than PM1.0 and high Ca2+ and SO42−; Group 3 (52%): PM1.0 relatively more enhanced than PM10 and highest carbonaceous fraction against mass. The fine mode fraction was lowest (highest) in Group 2 (Group 3). Haze and dust episodes relating to Chinese outflows were mostly evident in Groups 1 and 2, respectively; average PM2.5 concentrations were visibly higher than in Group 3. Non-Negative Matrix Factorization analysis demonstrated that traffic-related urban primary (28%) and coal-fired industry (27%) emissions equally contributed to the PM2.5 mass, followed by aged urban secondary (19%), soil mineral (16%), and biomass combustion (10%) sources. Seasonal variations were apparent in air mass trajectories. Urban primary and coal-fired industry factors were predominant in Group 3 under stagnant conditions in the warm season and under a strong northerly wind in the cold season, respectively. However, contributions of the other three factors were higher in Groups 1 and 2. This study shows that the PM2.5 mass in Seoul is largely dependent on high concentration episodes occurring mostly in cold seasons. It also shows that local emissions contribute considerably during warm months, while the influence of Chinese outflow predominates during cold months.

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来源期刊
Asian Journal of Atmospheric Environment
Asian Journal of Atmospheric Environment METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
2.80
自引率
6.70%
发文量
22
审稿时长
21 weeks
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