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Investigation of the sources and evolution processes of severe haze pollution in Beijing in January 2013

机译:2013年1月北京市严重霾污染源及演变过程调查

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China experienced severe haze pollution in January 2013. Herewe have a detailed characterization of the sources and evolution mechanisms of this haze pollution with a focus on four haze episodes that occurred during 10–14 January in Beijing. Themain source of data analyzed is from submicron aerosolmeasurements by an Aerodyne Aerosol Chemical Speciation Monitor. The average PM1 mass concentration during the four haze episodes ranged from 144 to 300 μgm~(-3), which was more than 10 times higher than that observed during clean periods. All submicron aerosol species showed substantial increases during haze episodes with sulfate being the largest. Secondary inorganic species played enhanced roles in the haze formation as suggested by their elevated contributions during haze episodes. Positive matrix factorization analysis resolved six organic aerosol (OA) factors including three primary OA (POA) factors from traffic, cooking, and coal combustion emissions, respectively, and three secondary OA (SOA) factors. Overall, SOA contributed 41–59% of OA with the rest being POA. Coal combustion OA (CCOA) was the largest primary source, on average accounting for 20–32%of OA, and showed the most significant enhancement during haze episodes. A regional SOA (RSOA) was resolved for the first time which showed a pronounced peak only during the record-breaking haze episode (Ep3) on 12–13 January. The regional contributions estimated based on the steep evolution of air pollutants were found to play dominant roles for the formation of Ep3, on average accounting for 66% of PM1 during the peak of Ep3 with sulfate, CCOA, and RSOA being the largest fractions (>~ 75%). Our results suggest that stagnant meteorological conditions, coal combustion, secondary production, and regional transport are four main factors driving the formation and evolution of haze pollution in Beijing during wintertime.
机译:2013年1月,中国经历了严重的霾霾污染。在此,我们对这一霾霾污染的来源和演变机制进行了详细描述,重点是1月10日至14日在北京发生的四次霾霾事件。分析的主要数据来源来自Aerodyne气溶胶化学形态监测仪的亚微米气溶胶测量。四个霾事件中PM1的平均浓度范围为144至300μgm〜(-3),比清洁期间的平均PM1高出10倍以上。在雾霾发作期间,所有亚微米气溶胶物种均显示出大幅增加,其中硫酸盐含量最大。次生无机物类在霾形成中起着增强的作用,这是由于其在霾事件中的贡献增加。积极的矩阵分解分析解决了六个有机气溶胶(OA)因子,包括分别来自交通,烹饪和燃煤排放的三个主要OA(POA)因子和三个次要OA(SOA)因子。总体而言,SOA贡献了OA的41–59%,其余为POA。燃煤OA(CCOA)是最大的主要来源,平均占OA的20–32%,并且在雾霾发作期间表现出最大的增强。区域SOA(RSOA)首次得到解决,仅在1月12日至13日破纪录的霾事件(Ep3)期间才显示出明显的峰值。发现基于空气污染物的急剧变化估算的区域贡献在Ep3的形成中起主要作用,在Ep3高峰期平均占PM1的66%,其中硫酸盐,CCOA和RSOA占最大比例(> 〜75%)。我们的结果表明,气象条件的停滞,煤炭的燃烧,二次生产和区域运输是冬季北京雾霾污染形成和演变的四个主要因素。

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