img

Wechat

  • CN 62-1070/P
  • ISSN 1000-694X
  • Bimonthly 1981
Adv search

Analysis of A Haze-Dust Air Pollution Process in Spring of Beijing Based on Wind Profiler Radar

  • Liu Chao ,
  • Hua Cong ,
  • Zhang Hengde ,
  • Zhang Bihui
Expand
  • National Meteorological Centre, Beijing 100081, China

Received date: 2018-11-13

  Revised date: 2019-01-13

  Online published: 2019-09-29

Abstract

In this paper, the global NCEP reanalysis data, hourly pollutant concentration data, wind profiler radar and ground routine observation data in Beijing were used to analyze a haze-dust pollution process from March 26 to March 29, 2018. The results showed that the PM2.5 peak concentration was 242 μg·m-3, and PM2.5/PM10 ratio was 0.86 during haze period. Affected by Mongolian cyclone, the concentration of PM10 increased explosively, and the growth rate reached 912 μg·m-3·h-1, and the proportion of PM2.5/PM10 decreased to 0.11. By analyzing of the horizontal wind field, ventilation index and vertical velocity in the boundary layer, it could be seen that the southwest wind dominated the boundary layer during haze period, and the average ventilation index was 15 907 m2·s-1. The steady weak upward or subsidence movement was dominant. In the period of sand, the average ventilation index was 9 226 m2·s-1. Vertical velocity was earlier than variation of pollutant concentration in advance. Based on the backward trajectory model and potential source contribution analysis method (PSCF) results, central and southern Hebei province and central Shanxi province contributed significantly to PM2.5 in Beijing during the haze period. While in the sand period, the PM10 concentration in Beijing was mainly from the central of Inner Mongolia and western of Liaoning province.

Cite this article

Liu Chao , Hua Cong , Zhang Hengde , Zhang Bihui . Analysis of A Haze-Dust Air Pollution Process in Spring of Beijing Based on Wind Profiler Radar[J]. Journal of Desert Research, 2019 , 39(5) : 88 -96 . DOI: 10.7522/j.issn.1000-694X.2019.00010

References

[1] 中国气象局.QXT113—2010霾的观测和预报等级[S].北京:气象出版社,2010.
[2] 张志刚,赵艳华,陈万隆,等.北京沙尘天气与源地气象条件分析[J].安全与环境学报,2003,3(1):20-24.
[3] 刘瑞霞,张甲珅,郑照军,等.北京沙尘天气与源地积雪变化的关系[J].气候与环境研究,2007,12(3):374-380.
[4] Yang F,Chen H,Du J F,et al.Evolution of the mixing state of fine aerosols during Haze Events in Shanghai[J].Atmospheric Research,2012,104/105:193-201.
[5] 李霞,胡秀清,崔彩霞,等.南疆盆地沙尘气溶胶光学特性及我国沙尘天气强度划分标准的研究[J].中国沙漠,2005,25(4):488-495.
[6] 王跃思,姚利,刘子锐,等.京津冀大气霾污染及控制策略思考[J].中国科学院院刊,2013(3):353-363.
[7] Duha T A,Deokrye B,Naci M.Chinese Yellow Dust and Korean infant health [J].Social Science & Medicine,2017,186:78-86.
[8] Camino C,Cuevas E,Basart S,et at.An empirical equation to estimate mineral dust concentrations from visibility observations in Northern Africa [J].Aeolian Research,2015,16:55-68.
[9] 张小玲,李青春,谢璞,等.近年来北京沙尘天气特征及成因分析[J].中国沙漠,2005,25(3):417-421.
[10] 唐宜西,张小玲,熊亚军,等.北京一次持续霾天气过程气象特征分析[J].气象与环境学报,2013,29(5):12-19.
[11] 张钛仁,张明伟,蒋建莹.近60年北京地区沙尘天气变化及路径分析[J].高原气象,2012,31(2):487-491.
[12] 熊亚军,唐宜西,寇星霞.北京春季一次霾和沙尘混合污染天气过程分析[J].干旱气象,2017,35(1):100-107.
[13] 李莉,蔡鋆琳,周敏.2013年12月中国中东部地区严重灰霾期间上海市颗粒物的输送途径及潜在源区贡献分析[J].环境科学,2015,36(7):2327-2336.
[14] Wang H L,Qiao L P,Lou S R,et al.Chemical composition of PM2.5 and meteorological impact among three years in urban Shanghai,China[J].Journal of Cleaner Production,2016,112:1302-1311.
[15] Squizzato S,Masiol M.Application of meteorology-based methods to determine local and external contributions to particulate matter pollution:a case study in Venice (Italy)[J].Atmospheric Environment,2015,119:69-81.
[16] 徐强,王东强,王旭,等.灰霾中主要污染物粒子散射特性研究[J].大气与环境光学学报,2017,12(2):100-108.
[17] 吴兑,吴蒙,范绍佳.基于风廓线仪等资料的珠江三角洲污染气象条件研究[J].环境科学学报,2015,35(3):619-626.
[18] 刘超,花丛,张恒德,等.L波段探空雷达秒数据在污染天气边界层分析中的应用[J].气象,2017,45(5):591-597.
[19] 刘超,张碧辉,花丛,等.风廓线雷达在北京地区一次强沙尘天气分析中的应用[J].中国环境科学,2018,38(5):1663-1669.
[20] Qi J,Zheng B,Li M,et al.A high-resolution air pollutants emission inventory in 2013 for the Beijing-Tianjin-Hebei region,China[J].Atmospheric Environment,2017,170:156-168.
[21] Wang L L,Liu Z R,Sun Y,et al.Long-range transport and regional sources of PM2.5 in Beijing based on long-term observations from 2005 to 2010[J]. Atmospheric Research,2015,157:37-48.
Outlines

/