...
首页> 外文期刊>Atmospheric chemistry and physics >Impacts of black carbon on the formation of advection–radiation fog during a haze pollution episode in eastern China
【24h】

Impacts of black carbon on the formation of advection–radiation fog during a haze pollution episode in eastern China

机译:黑碳对中国东部雾度污染发作期间平流污染形成的影响

获取原文
获取原文并翻译 | 示例
           

摘要

Aerosols can not only participate in fog formation by acting as condensation nuclei of droplets but also modify the meteorological conditions such as air temperature and moisture, planetary boundary layer height (PBLH) and regional circulation during haze events. The impact of aerosols on fog formation, yet to be revealed, can be critical in understanding and predicting fog–haze events. In this study, we used the Weather Research and Forecasting model coupled with Chemistry (WRF-Chem) to investigate a heavy fog event during a multiday intense haze pollution episode in early December 2013 in the Yangtze River Delta (YRD) region in eastern China. Using the WRF-Chem model, we conducted four parallel numerical experiments to evaluate the roles of aerosol–radiation interaction (ARI), aerosol–cloud interaction (ACI), black carbon (BC) and non-BC aerosols in the formation and maintenance of the heavy fog event. We find that only when the aerosols’ feedback processes are considered can the model capture the haze pollution and the fog event well. And the effects of ARI during the fog– haze episode in early December 2013 played a dominant role, while the effects of ACI were negligible. Furthermore, our analyses show that BC was more important in inducing fog formation in the YRD region on 7 December than non- BC aerosols. The dome effect of BC leads to an increase in air moisture over the sea by reducing PBLH and weakening vertical mixing, thereby confining more water vapor to the near-surface layer. The strengthened daytime onshore flow by a cyclonic wind anomaly, induced by contrast temperature perturbation over land and sea, transported moister air to the YRD region, where the suppressed PBLH and weakened daytime vertical mixing maintained the high moisture level. Then heavy fog formed due to the surface cooling at night. This study highlights the importance of anthropogenic emissions in the formation of advection–radiation fog in the polluted coastal areas.
机译:气溶胶不能通过液滴的冷凝核来参与雾形成,而且还在阴霾事件期间改变气温和水分,行星边界层高度(PBLH)和区域循环等气象状况。尚未被揭示的雾形成气溶胶对雾形成的影响可能对理解和预测雾霾事件至关重要。在这项研究中,我们使用了与化学(WRF-Chem)相结合的天气研究和预测模型,在2013年12月初在中国东部长三角(YRD)地区的多日期强烈阴霾污染发作期间调查沉重的迷雾事件。使用WRF-Chem模型,我们进行了四种并行数值实验,以评估气溶胶 - 辐射相互作用(ARI),气溶胶酰胺相互作用(ACI),黑碳(BC)和非BC气溶胶在形成和维护中的作用沉重的雾事件。我们发现,只有当考虑气溶胶的反馈过程时,模型才能捕获雾度污染和雾事件。 Ari在2013年12月初雾霾集中的效果发挥了主导作用,而ACI的影响则可以忽略不计。此外,我们的分析表明,BC在12月7日诱导YRD地区的雾层比非BC气溶胶源更重要。通过减少PBLH和弱化垂直混合,BC的圆顶效应导致海面上的空气水分增加,从而将更多的水蒸气限制到近表面层。通过陆地和海洋对比度温度扰动引起的循环风异常加强了白天的陆上流动,将气泡空气输送到YRD区域,其中抑制的PBLH和弱化的白天垂直混合保持高水分水平。然后由于夜间的表面冷却而形成的重雾。本研究强调了人为排放在污染沿海地区平流辐射雾形成中的重要性。

著录项

  • 来源
    《Atmospheric chemistry and physics》 |2019年第2期|共16页
  • 作者单位

    Joint International Research Laboratory of Atmospheric and Earth System Sciences Nanjing University Nanjing China;

    Joint International Research Laboratory of Atmospheric and Earth System Sciences Nanjing University Nanjing China;

    Joint International Research Laboratory of Atmospheric and Earth System Sciences Nanjing University Nanjing China;

    Joint International Research Laboratory of Atmospheric and Earth System Sciences Nanjing University Nanjing China;

    Joint International Research Laboratory of Atmospheric and Earth System Sciences Nanjing University Nanjing China;

    Joint International Research Laboratory of Atmospheric and Earth System Sciences Nanjing University Nanjing China;

    Joint International Research Laboratory of Atmospheric and Earth System Sciences Nanjing University Nanjing 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

    the meteorological conditions; the Weather Research; the model capture;

    机译:气象条件;天气研究;模型捕获;

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