...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Atmospheric chemistry and physics >Fine particulate matter (PM2.5) trends in China, 2013-2018: separating contributions from anthropogenic emissions and meteorology
【24h】

Fine particulate matter (PM2.5) trends in China, 2013-2018: separating contributions from anthropogenic emissions and meteorology

机译：中国的细颗粒物（PM2.5）趋势，2013-2018：分离人为排放和气象的贡献

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Fine particulate matter (PM2.5) is a severe air pollution problem in China. Observations of PM2.5 have been available since 2013 from a large network operated by the China National Environmental Monitoring Center (CNEMC). The data show a general 30 %-50 % decrease in annual mean PM2.5 across China over the 2013-2018 period, averaging at -5.2 mu g M-3 a(-1). Trends in the five megacity cluster regions targeted by the government for air quality control are -9.3 +/- 1.8 mu g m(-3) a(-1) (+/- 95 % confidence interval) for Beijing-Tianjin-Hebei, -6.1 +/- 1.1 mu g m(-3) a(-1) for the Yangtze River Delta, -2.7 +/- 0.8 mu g m(-3) a(-1) for the Pearl River Delta, -6.7 +/- 1.3 mu g m(-3) a(-1) for the Sichuan Basin, and -6.5 +/- 2.5 mu g m(-3) a(-1) for the Fenwei Plain (Xi' an). Concurrent 2013-2018 observations of sulfur dioxide (SO2) and carbon monoxide (CO) show that the declines in PM2.5 are qualitatively consistent with drastic controls of emissions from coal combustion. However, there is also a large meteorologically driven interannual variability in PM2.5 that complicates trend attribution. We used a stepwise multiple linear regression (MLR) model to quantify this meteorological contribution to the PM2.5 trends across China. The MLR model correlates the 10 d PM2.5 anomalies to wind speed, precipitation, relative humidity, temperature, and 850 hPa meridional wind velocity (V850). The meteorology-corrected PM2.5 trends after removal of the MLR meteorological contribution can be viewed as being driven by trends in anthropogenic emissions. The mean PM2.5 decrease across China is -4.6 mu g m(-3 )a(-1) in the meteorology-corrected data, 12 % weaker than in the original data, meaning that 12 % of the PM2.5 decrease in the original data is attributable to meteorology. The trends in the meteorology-corrected data for the five megacity clusters are -8.0 +/- 1.1 mu g m(-3) a(-1) for Beijing-Tianjin-Hebei (14 % weaker than in the original data), -6.3 +/- 0.9 mu g m(-3) a(-1) for
机译：细颗粒物质（PM2.5）是中国的严重空气污染问题。自2013年从中国国家环境监测中心（CNEMC）运营的大型网络起，PM2.5的观察已经获得。在2013 - 2018年期间，该数据显示一般30％-50％的年平均PM2.5减少，平均为-5.2μgm-3 a（-1）。政府用于空气质量控制的五个巨型群集区域的趋势是-9.3 +/- 1.8 mu gm（-3）a（-1）（+/- 95％的置信区间）为北京 - 天津 - 河北， - 6.1 +/- 1.1 mu gm（-3）A（-1）为长江三角洲，-2.7 +/- 0.8 mm gm（-3）a（-1）为珠江三角洲，-6.7 +/-四川盆地的1.3 mu gm（-3）A（-1），汾威平原的-6.5 +/- 2.5 mm（-3）a（-1）（xi'a）。同时2013-2018二氧化硫（SO2）和一氧化碳（CO）的观察结果表明，PM2.5的下降与煤燃烧排放的激烈控制定性一致。但是，PM2.5中还存在大的气象驱动的续际变异，使趋势归因复杂化。我们使用了逐步多个线性回归（MLR）模型来量化对中国的PM2.5趋势的气象贡献。 MLR模型将10d PM2.5异常与风速，沉淀，相对湿度，温度和850hPa的子午线风速（V850）相关联。在去除MLR气象贡献后，气象纠正的PM2.5趋势可以被视为受到人为排放趋势的推动。跨越中国的平均PM2.5减少 - 4.6 mm gm（-3）A（-1）在气象校正的数据中，比原始数据较弱12％，这意味着12％的PM2.5减少原始数据可归因于气象学。北京天津 - 河北的五兆型集群的气象校正数据趋势为-8.0 +/- 1.1 mu gm（-3）A（-1）（比原始数据弱14％），-6.3 +/- 0.9 mu gm（-3）a（-1）

著录项

  • 来源
    《Atmospheric chemistry and physics》 |2019年第16期|共11页
  • 作者

    Zhai Shixian; Jacob Daniel J.; Wang Xuan; Shen Lu; Li Ke; Zhang Yuzhong; Gui Ke; Zhao Tianliang; Liao Hong;

  • 作者单位

    Nanjing Univ Informat Sci &

    Technol Collaborat Innovat Ctr Forecast &

    Evaluat Meteoro Sch Atmospher Phys Key Lab Aerosol Cloud Precipitat China Meteorol A Nanjing 210044 Jiangsu Peoples R China;

    Harvard Univ John A Paulson Sch Engn &

    Appl Sci Cambridge MA 02138 USA;

    Harvard Univ John A Paulson Sch Engn &

    Appl Sci Cambridge MA 02138 USA;

    Harvard Univ John A Paulson Sch Engn &

    Appl Sci Cambridge MA 02138 USA;

    Harvard Univ John A Paulson Sch Engn &

    Appl Sci Cambridge MA 02138 USA;

    Harvard Univ John A Paulson Sch Engn &

    Appl Sci Cambridge MA 02138 USA;

    Chinese Acad Meteorol Sci Key Lab Atmospher Chem CMA Beijing 100081 Peoples R China;

    Nanjing Univ Informat Sci &

    Technol Collaborat Innovat Ctr Forecast &

    Evaluat Meteoro Sch Atmospher Phys Key Lab Aerosol Cloud Precipitat China Meteorol A Nanjing 210044 Jiangsu Peoples R China;

    Nanjing Univ Informat Sci &

    Technol Collaborat Innovat Ctr Atmospher Environm &

    Equip Sch Environm Sci &

    Engn Jiangsu Key Lab Atmospher Environm Monitoring &

    P Nanjing 210044 Jiangsu Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学（气象学）;
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号