Ying Zhou1, Shuiyuan Cheng 1,2, Dongsheng Chen 1, Jianlei Lang1, Gang Wang1, Tingting Xu1, Xiaoqi Wang1, Sen Yao1

  • 1 Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology, Beijing 100124, China
  • 2 Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing 100081, China

Received: November 27, 2014
Revised: April 19, 2015
Accepted: May 28, 2015
Download Citation: ||https://doi.org/10.4209/aaqr.2014.11.0306  

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Cite this article:
Zhou, Y., Cheng, S., Chen, D., Lang, J., Wang, G., Xu, T., Wang, X. and Yao, S. (2015). Temporal and Spatial Characteristics of Ambient Air Quality in Beijing, China. Aerosol Air Qual. Res. 15: 1868-1880. https://doi.org/10.4209/aaqr.2014.11.0306


HIGHLIGHTS

  • The ambient air quality of Beijing in 2013 was comprehensively assessed.
  • The monthly, seasonal and diurnal variation of pollutants were analyzed.
  • Higher concentrations of O3 and other pollutants occurred in various areas.
  • The visibility was correlated with PM2.5 concentration and RH, respectively.
  • Beijing showed higher pollutant concentrations than other mega cities in the world.

 

ABSTRACT


The ambient air quality in Beijing was comprehensively assessed based on the real-time pollutant concentrations monitored at urban, suburban, roadside, and background sites in 2013. The results showed that the annual average concentration for CO, NO2, SO2, O3, PM2.5 and PM10 in 2013 was 2.0 mg/m3, 55.6 µg m–3, 28.5 µg m–3, 48.0 µg m–3, 92.2 µg m–3 and 118.6 µg m–3, respectively. The annual average concentration of CO, NO2, SO2, PM2.5 and PM10 was highest in roadside, while that of O3 was highest in background stations. The mean monthly statistics indicated the maximum concentration of CO, NO2, SO2, PM2.5 and PM10 occurred in January because of larger emissions in heating season, lower wind speed and higher relative humidity (RH), while the minimum was found in July or August due to larger precipitation or photochemical degradation. The peak concentrations of O3 occurred during May to August due to higher temperature and solar radiation which could promote the photochemistry activity. The monthly variation is also reflected in the corresponding season. Diurnally analysis showed the CO, NO2, SO2, PM2.5 and PM10 in urban and roadside area had two increase phases accompanying with the traffic peaks. Beside the temporal variation, we also found the spatial variation that higher concentrations of O3 and other pollutants occurred in northern and southern districts/counties, respectively. It could be attributed to the spatial distribution of various pollutant emissions in Beijing and the impact of pollutant transport from neighboring provinces. Moreover, we examined the visibility in Beijing and found its significant correlation with PM2.5 concentration and RH, respectively. Lastly, the air quality in Beijing was compared with that in other mega cities in the world. The higher pollutant concentrations and PM2.5/PM10 ratio indicated that the mitigation of the air pollution especially the PM2.5 pollution in Beijing still had a long way to go.


Keywords: Visibility; Meteorological conditions; Beijing; Ambient air quality; Temporal-spatial characteristics


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