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首页> 外文期刊>The Science of the Total Environment >Temperature inversions in severe polluted days derived from radiosonde data in North China from 2011 to 2016
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Temperature inversions in severe polluted days derived from radiosonde data in North China from 2011 to 2016

机译：根据华北地区2011年至2016年探空仪数据得出的严重污染天数中的温度反演

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摘要

Temperature inversion tends to inhibit the transfer of momentum, heat and moisture in the atmospheric boundary layer, which is often accompanied by severe air pollution. Recently, severe haze pollution has frequently occurred in North China. In this study, the characteristics of temperature inversion on severe polluted days (SPDs) in Beijing were investigated by using radiosonde data with standard pressure levels from 2011 to 2016. Both surface-based inversion (SI) and elevated inversion (EI) were analyzed. 93% of the SPDs were accompanied by temperature inversion, most of which occurred in wintertime. Annual frequency of SI (F-SI) and EI (F-EI) showed slight fluctuations with mean value of 0.18 and 0.67, respectively. Overall, the annual SI was stronger and deeper than annual EI. Seasonally, the SI was most frequent (0.39) in autumn, in contrast to EI that occurred most frequently (0.95) in summer. Both SI and EI were weakest in summer and strongest in winter. Average monthly SI strength was about 0.38 degrees C in summer and 2.40 degrees C in winter, average monthly EI strength was about 0.64 degrees C in summer and 2.20 degrees C in winter. The average monthly SI and EI were deepest in winter and shallowest in summer. SI depth were 778 m and 221 m in winter and summer, EI were 630 m and 336 m in winter and summer. The substantially strong liner relationship was found between seasonal inversion strength and PM2.5 concentration, and the inversion strength was found to be better compared with the inversion depth at predicting the PM2.5 concentration during SPDs. Obvious lower air outflow and turbulent kinetic energy were found in SPDs compared to non-SPDs, which indicated weaker turbulence in SPDs. Future efforts should focus on accurate model simulations of temperature inversions in SPDs. (C) 2018 Elsevier B.V. All rights reserved.
机译：温度反转往往会抑制动量，热量和水分在大气边界层中的转移，而大气边界层常常伴随着严重的空气污染。最近，华北地区经常发生严重的霾污染。本研究利用2011-2016年标准气压水平的探空资料，研究了北京市重度污染日的温度反演特征。对地表反演和高反演进行了分析。 93％的SPD伴有温度反转，其中大部分发生在冬季。 SI（F-SI）和EI（F-EI）的年频率显示出轻微波动，平均值分别为0.18和0.67。总体而言，年度SI比年度EI更强大和更深入。季节性上，秋季的SI最高（0.39），而夏季的EI最高（0.95）。 SI和EI的夏季最弱，冬季最强。夏季的月平均SI强度约为0.38摄氏度，冬季为2.40摄氏度，夏季的月平均EI强度约为0.64摄氏度，而冬季为2.20摄氏度。冬季，SI和EI的月平均平均值最深，夏季最浅。冬季和夏季的SI深度分别为778 m和221 m，冬季和夏季的EI分别为630 m和336 m。发现季节性反演强度与PM2.5浓度之间存在明显强的线性关系，并且在预测SPD期间PM2.5浓度时，反演强度比反演深度更好。与非SPD相比，在SPD中发现明显较低的空气流出和湍动能，这表明SPD中的湍流较弱。未来的工作应集中在SPD中温度反演的精确模型仿真上。 （C）2018 Elsevier B.V.保留所有权利。

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