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气溶胶辐射效应对边界层结构及夹卷特征影响的观测分析
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1.南京信息工程大学气象灾害预报和评估协同创新中心 2.耶鲁大学—南京信息工程大学大气环境中心;2.耶鲁大学—南京信息工程大学大气环境中心;3.1.南京信息工程大学气象灾害预报和评估协同创新中心 2.南京信息工程大学江苏省农业气象重点实验室;4.1.南京信息工程大学气象灾害预报和评估协同创新中心 2. 南京信息工程大学大气物理学院;5.东华理工大学江西省大气污染成因与控制重点实验室;6.中国气象局交通气象重点开放实验室

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国家重点基础研究发展计划


Observational Analysis of Planetary Boundary Layer Structure and Entrainment Characteristics under Heavy Haze Pollution
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1.Yale–NUIST Center on Atmospheric Environment;2.1.Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment 2. Jiangsu Key Laboratory of Agricultural Meteorology, College of Applied Meteorology, Nanjing University of Information Science and Technology;3.1. Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science and Technology 2. School of Atmospheric Physics, Nanjing University of Information Science and Technology;4.1. Collaborative Innovation Center on Forecast Meteorological Disaster Warning and Assessment, Nanjing University of Information Science and Technology 2. Yale–NUIST Center on Atmospheric Environment;5.Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology;6.Key Laboratory of Transportation Meteorology, China Meteorological Administration, Jiangsu province

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    摘要:

    摘要: 2017年12月22日至2018年1月18日利用无人机携带温、湿和颗粒物浓度探测仪对南京地区灰霾污染条件下大气边界层垂直结构开展加密观测。通过比较不同灰霾污染条件下温、湿和PM2.5(直径小于2.5微米的颗粒物)浓度的垂直结构差异,结合地面热通量,2米空气温度,相对湿度,风及主要化学污染物(如臭氧,PM2.5),定量评估了气溶胶辐射效应对边界层和夹卷过程的影响。分析表明,灰霾或气溶胶削弱到达地表太阳辐射,减小地表感热通量,延迟边界层发展,增加近地层大气稳定度,降低边界层高度,并加重灰霾污染。灰霾污染物在混合层顶处累积,导致PM2.5浓度最大变化出现在边界层顶部而不是近地层。气溶胶辐射效应对夹卷特征及其特征参数有重要影响。灰霾浓度升高时,夹卷区厚度增加;无量纲化夹卷速度随对流理查逊数的变化不再符合-1次方幂函数关系,与大涡模拟结果一致。本研究进一步指出,为提高重霾污染条件下天气和空气质量数值预报水平,必须考虑气溶胶辐射效应对边界层和夹卷参数化的影响。

    Abstract:

    Abstrac: An unmanned aerial vehicle (UAV) was used to carry on portable instruments to measure vertical profiles of temperature, specific humidity, and particulate matter under different haze-polluted weather conditions in Nanjing from December 22, 2017 to January 18, 2018. The study is aimed to assess the impact of aerosol radiative effect on the atmospheric boundary layer (ABL) and entrainment zone structures as well as their evolution between one day with heavy haze pollution and another with good air quality. Vertical profiles of potential temperature, water vapor, and PM2.5 concentrations are characterized by performing detailed analyses on UAV-measured vertical profiles and surface observations including surface heat flux, 2-m air temperature, specific humidity, winds, and major air pollutants (e.g., O3, PM2.5) under different air pollution conditions. Results indicate that aerosols reduce surface-reaching solar radiation and surface sensible heat flux, postpone the development of the ABL, enhance the atmospheric stability near surface, decrease the ABL height, and exacerbate air pollution. The maximum concentrations of PM2.5 and the largest increase rate were observed at the top of the ABL rather than near surface. Furthermore, aerosol radiative effect imposes an important impact on entrainment and its characteristic parameters. The entrainment-zone depth increases with increasing surface PM2.5 concentrations, and entrainment rate normalized with convective velocity does not follow -1 power function with the convective Richardson number under heavy haze or PM2.5 pollution conditions, which is consistent with the findings by the large-eddy simulation studies. The study indicates that aerosol radiative effect must be included in the ABL and entrainment parameterization schemes to further improve numerical predictions of weather and air quality under heavy pollution conditions.

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  • 收稿日期:2019-06-26
  • 最后修改日期:2019-11-13
  • 录用日期:2019-12-30
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