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Severe particulate pollution days in China during 2013-2018 and the associated typical weather patterns in Beijing-Tianjin-Hebei and the Yangtze River Delta regions

机译:2013-2018年间中国的严重颗粒物污染天数以及北京,天津,河北和长三角地区的典型天气模式

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摘要

This study examined the spatial and temporal variations of severe particulate pollution days (SPPDs) in China by using observed PM2.5 concentrations during April 2013 to February 2018 from the Ministry of Environmental Protection of China. SPPDs were defined as those with observed daily mean PM2.5 concentrations larger than 150 mu g m(-3). Observations showed that northern China had the highest number of SPPDs during the studied period. Since 2015, the number of SPPDs in northwestern China is comparable to or even higher than that observed in Beijing-Tianjin-Hebei (BTH). The highest numbers of SPPDs observed within BTH and the Yangtze River Delta (YRD) were 122 (33), 95 (17), 57 (15), 78 (18), and 31 (25) days in 2013, 2014, 2015, 2016, and 2017, respectively, indicating a general decreasing trend as a result of emission reduction measures. SPPDs occurred mainly from November to February in BTH and in December and January in the YRD. The major circulation patterns associated with large-scale SPPDs were analyzed by using principal component analysis. Five typical synoptic weather patterns were identified for BTH. The most dominant weather type (a cold high centered over the Xinjiang and Mongolian regions) for BTH was also responsible for most of the SPPD5 in the YRD. These results have important implications for emission control strategies during SPPDs. Emission control measures can be applied once the dominant circulation patterns have been predicted. (C) 2019 Elsevier Ltd. All rights reserved.
机译:本研究使用中国环境保护部2013年4月至2018年2月期间观测到的PM2.5浓度,研究了中国严重颗粒物污染天数(SPPD)的时空变化。 SPPD定义为观察到的PM2.5日平均浓度大于150μg m(-3)的SPPD。观测表明,在研究期间,中国北方地区的SPPD数量最多。自2015年以来,中国西北地区的SPPD数量与北京-天津-河北(BTH)的数量相当甚至更高。在2013、2014、2015年,BTH和长三角地区(YRD)内观察到的SPPD数量最多,分别为122(33),95(17),57(15),78(18)和31(25)天, 2016年和2017年分别表明由于减排措施的总体下降趋势。 SPPD主要发生在BTH的11月至2月,以及YRD的12月和1月。使用主成分分析法分析了与大型SPPD相关的主要循环模式。确定了BTH的五个典型天气天气模式。 BTH的最主要天气类型(以新疆和蒙古地区为中心的寒冷高压)也是造成长三角地区大部分SPPD5的原因。这些结果对SPPD期间的排放控制策略具有重要意义。一旦预测了主要的循环模式,便可以采用排放控制措施。 (C)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Environmental Pollution》 |2019年第5期|74-81|共8页
  • 作者单位

    Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys & Atm, Beijing 100029, Peoples R China|Univ Chinese Acad Sci, Beijing 100049, Peoples R China;

    Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing 210044, Jiangsu, Peoples R China;

    Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing 210044, Jiangsu, Peoples R China;

    Nanjing Univ Informat Sci & Technol, Sch Environm Sci & Engn, Jiangsu Collaborat Innovat Ctr Atmospher Environm, Jiangsu Key Lab Atmospher Environm Monitoring & P, Nanjing 210044, Jiangsu, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Severe particulate pollution; T-PCA; Atmospheric circulation;

    机译:严重颗粒物污染;T-PCA;大气环流;
  • 入库时间 2022-08-18 04:24:17

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