Objective analysis on circulation types and its links to haze days over Beijing during 2007~2016
YIN Xiao-mei1,2, ZHU Bin3, XIONG Ya-jun2, SUN Zhao-bin1, QIAO Lin2
1. Institute of Urban Meteorology, Beijing 100089, China;
2. Environment Meteorology Forecast Center of Beijing-Tianjin-Hebei, Beijing 100089, China;
3. Experiment Teaching Center for Atmospheric and Environmental Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China
Nine weather types (T1 to T9) during 2007 to 2016 in Beijing were first identified with the objective weather classification approach in COST 733. The correlation between these weather types and haze days was then investigated, and the characteristics of air pollution and meteorological parameters under nine weather types were analyzed in combination with the variation of surface PM2.5 and ozone. The overall occurrence probability of haze days was 21.5% in Beijing during 2007~2016, and haze days were the most frequented in T4 and T9. The variation of haze days in 9 weather types could be divided to two stages. During 2007~2012 (stage 1), haze days were fewer and the interannual change was not significant, while number of haze days increased during 2013~2016 (stage 2). After analyzing the variation of PM2.5 and ozone concentrations under nine types, it was found that haze days in T1, T3, T4 and T9 mostly occurred in autumn and winter, and the PM2.5 concentration increased hour by hour. On stage1, there were concentration fluctuations and a daily peak in the morning, which decreased and disappeared on stage2. The PM2.5 concentrations on stage 2 in haze days were lower than that on stage 1 except for those under T7 and T9 types, which were 23.7% and 3.9% higher. The diurnal variation pattern of ozone had a single-peak in haze days in nine types, with maximum concentrations in afternoon. Daily average ozone concentration of T8 was the highest. In addition, mean ozone concentrations in T3, T5 and T6 were higher on stage 2 than those of stage 1, and the degree of increase in T5 was highest (49.8%). Correlation analysis between haze days and meteorological elements demonstrated that, temperature, wind direction and speed can explain the ozone variation well. While PM2.5 variation was not only related with the local meteorological elements, but also reflected the emission characteristics and contributions of regional linkage emission reduction to some extent. Thus, a comprehensive consideration of all these factors was a better way to research the PM2.5 characteristics.
尹晓梅, 朱彬, 熊亚军, 孙兆彬, 乔林. 2007~2016年北京天气分型与霾日的关联[J]. 中国环境科学, 2020, 40(1): 123-134.
YIN Xiao-mei, ZHU Bin, XIONG Ya-jun, SUN Zhao-bin, QIAO Lin. Objective analysis on circulation types and its links to haze days over Beijing during 2007~2016. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(1): 123-134.
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