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首页> 外文期刊>Atmospheric chemistry and physics >Attributions of meteorological and emission factors to the 2015 winter severe haze pollution episodes in China's Jing-Jin-Ji area
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Attributions of meteorological and emission factors to the 2015 winter severe haze pollution episodes in China's Jing-Jin-Ji area

机译：2015年冬季严重阴霾污染集中气象和排放因子的归因

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摘要

In the 2015 winter month of December, northern China witnessed the most severe air pollution phenomena since the 2013 winter haze events occurred. This triggered the first-ever red alert in the air pollution control history of Beijing, with an instantaneous fine particulate matter (PM2:5)concentration over 1 mg m(-3) . Air quality observations reveal large temporal-spatial variations in PM2 : 5 concentrations over the Beijing-Tianjin-Hebei (Jing-Jin-Ji) area between 2014 and 2015. Compared to 2014, the PM2:5 concentrations over the area decreased significantly in all months except November and December of 2015, with an increase of 36% in December. Analysis shows that the PM2 : 5 concentrations are significantly correlated with the local meteorological parameters in the Jing-Jin-Ji area such as the stable conditions, relative humidity (RH), and wind field. A comparison of two month simulations (December 2014 and 2015) with the same emission data was performed to explore and quantify the meteorological impacts on the PM2:5 over the Jing-Jin-Ji area. Observation and modeling results show that the worsening meteorological conditions are the main reasons behind this unusual increase of air pollutant concentrations and that the emission control measures taken during this period of time have contributed to mitigate the air pollution (similar to 9 %) in the region. This work provides a scientific insight into the emission control measures vs. the meteorology impacts for the period.
机译：在2015年12月冬季，中国北方目睹了自2013年冬季阴霾事件以来最严重的空气污染现象。这引发了北京空气污染控制史上的第一个红色警报，瞬时细颗粒物质（PM2：5）浓度超过1mg m（-3）。空气质量观察揭示了2014年至2015年京津冀（京锦吉）地区的PM2：5浓度的大规模空间变化。与2014年，PM2：5浓度在该地区的浓度大幅下降2015年11月和12月除外几个月，12月增长了36％。分析表明，PM2：5浓度与静金姬面积中的局部气象参数显着相关，例如稳定的条件，相对湿度（RH）和风场。对两个月的模拟（2014年和2015年12月）进行了相同的排放数据的比较，以探索和量化在京晋地区的PM2：5上的气象影响。观察和建模结果表明，恶化的气象条件是这种不寻常增加空气污染物浓度的主要原因，并且在这段时间内采取的排放控制措施有助于减轻该地区的空气污染（类似于9％） 。这项工作提供了对排放控制措施与气象影响的科学洞察力。

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  • 来源
    《Atmospheric chemistry and physics》 |2017年第2期|共10页
  • 作者

    Liu Tingting; Gong Sunling; He Jianjun; Yu Meng; Wang Qifeng; Li Huairui; Liu Wei; Zhang Jie; Li Lei; Wang Xuguan; Li Shuli; Lu Yanli; Du Haitao; Wang Yaqiang; Zhou Chunhong; Liu Hongli; Zhao Qichao;

  • 作者单位

    Hangzhou Dianzi Univ Sch Mech Engn Hangzhou Zhejiang Peoples R China;

    Chinese Acad Meteorol Sci State Key Lab Severe Weather Beijing Peoples R China;

    Chinese Acad Meteorol Sci State Key Lab Severe Weather Beijing Peoples R China;

    Langfang Bur Environm Protect Langfang Hebei Peoples R China;

    Langfang Acad Eco Ind Wisdom Environm Langfang Hebei Peoples R China;

    Langfang Acad Eco Ind Wisdom Environm Langfang Hebei Peoples R China;

    Langfang Bur Environm Protect Langfang Hebei Peoples R China;

    Langfang Bur Environm Protect Langfang Hebei Peoples R China;

    Langfang Bur Environm Protect Langfang Hebei Peoples R China;

    Langfang Bur Environm Protect Langfang Hebei Peoples R China;

    Langfang Bur Environm Protect Langfang Hebei Peoples R China;

    Langfang Bur Environm Protect Langfang Hebei Peoples R China;

    Langfang Bur Meteorol Langfang Hebei Peoples R China;

    Chinese Acad Meteorol Sci State Key Lab Severe Weather Beijing Peoples R China;

    Chinese Acad Meteorol Sci State Key Lab Severe Weather Beijing Peoples R China;

    Chinese Acad Meteorol Sci State Key Lab Severe Weather Beijing Peoples R China;

    Langfang Acad Eco Ind Wisdom Environm Langfang Hebei Peoples R China;

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  • 正文语种 eng
  • 中图分类 大气科学（气象学）;
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