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Influence factors of atmospheric boundary layer inversion in Yinchuan City and the relation with PM2.5 in winter
CHEN Rong, WANG Jianying, YANG Wenjun, CHEN Min, WANG Qian, LI Kun
Journal of Arid Meteorology    2023, 41 (1): 123-131.   DOI: 10.11755/j.issn.1006-7639(2023)-01-0123
Abstract382)   HTML11)    PDF(pc) (6281KB)(819)       Save

In order to explore the characteristics and influence factors of atmospheric boundary layer inversion in Yinchuan City and their relationship with winter PM2.5 pollution, based on the sounding and surface meteorological observation data at Yinchuan meteorological station and the air quality monitoring data in Yinchuan City from 2015 to 2020, the characteristics of atmospheric boundary layer inversion and surface meteorological elements are analyzed. And on this basis that the influence of inversion and surface meteorological elements on PM2.5 pollution weathers in winter is explored. The results are as follows: (1) The inversions in atmospheric boundary layer are more easily to occur in the early morning than in the evening in Yinchuan City, and most of the inversions are ground inversions, they are stronger and thinner than suspension inversions. The inversion frequency and thickness are the largest in winter and the smallest in summer, while the inversion intensity is the strongest in autumn and the weakest in summer. (2) In winter, the inversions are easily to occur on a sunny day with average surface wind speed from 1.0 to 1.5 m·s-1 and relative humidity from 30% to 60%. (3) Ground inversion is one of the main meteorological factors affecting PM2.5 pollution weathers in winter. When the inversion thickness exceeds 596 m and the intensity exceeds 1.4 ℃·(100 m)-1, PM2.5 pollution weathers are easily to occur, and the pollution is aggravated with the increase of inversion thickness and intensity. (4) Under PM2.5 pollution weathers in winter, the sky is mostly sunny in the early morning, the average surface wind speed is usually less than 1.3 m·s-1, the relative humidity is greater than 54%, and the pollution is aggravated with the increase of humidity. (5) The boundary layer height is significantly negatively correlated with PM2.5 mass concentration, and the lower boundary layer height is, the heavier PM2.5 pollution is.

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