The Effects of Planetary Boundary Layer Features on Air Pollution Based on ERA5 Data in East China

分层(种子) 风速 环境科学 行星边界层 风切变 大气科学 相对湿度 污染 暖锋 空气污染 风向 气象学 湿度 边界层 气候学 地质学 湍流 地理 种子休眠 生态学 化学 植物 发芽 物理 有机化学 休眠 生物 热力学
作者
Xueliang Deng,Jian Chen,Rui Dai,Zhenfang Zhai,Dongyan He,Liang Zhao,Xiaolong Jin,Jiping Zhang
出处
期刊:Atmosphere [MDPI AG]
卷期号:14 (8): 1273-1273 被引量:2
标识
DOI:10.3390/atmos14081273
摘要

The planetary boundary layer (PBL) structure and its evolution can significantly affect air pollution. Here, the PBL’s characteristics and their association with air pollution were analyzed in Hefei, east China, using ERA5 reanalysis data, weather observations and air pollutant measurements from 2016 to 2021. In the near-surface level, air pollution was directly influenced by ground meteorological conditions, and high PM2.5 was normally related to weak wind speed, northwest wind anomalies, low temperature and high relative humidity. Moreover, in the trajectory analysis, air masses from the north and the northwest with short length played an important role in the high PM2.5 with pollutant transport within the PBL. Furthermore, high PM2.5 showed a tight dependence on PBL stratification. There was high temperature and relative humidity and low wind speed and PBL height within all PBL altitudes in the polluted condition. Notably, vertical wind shear (VWS) and temperature gradient tended to be much weaker below 900 hPa, which created a deeply stable stratification that acted as a cap to upward-moving air. Such a PBL structure facilitated more stable stratification and enhanced the generation of air pollution. Finally, the stable stratification in the PBL was related to the special synoptic configuration for the high PM2.5 conditions, which included the block situation at the high level, the southerly wind anomalies at the middle level and the wild range of the uniform pressure field at the near-ground level. Therefore, air pollutant concentrations were regulated by ground factors, PBL structure and the synoptic situation. Our results provide a precise understanding of the role of PBL features in air pollution, which contributes to improving the assimilation method of the atmospheric chemistry model in east China.
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