Acta Geographica Sinica ›› 2015, Vol. 70 ›› Issue (1): 110-120.doi: 10.11821/dlxb201501009

• Orginal Article • Previous Articles     Next Articles

Spatial-temporal characteristics of PM2.5 in Beijing in 2013

Zhanshan WANG1(), Yunting LI1, Tian CHEN2, Dawei ZHANG1(), Feng SUN1, Libo PAN3   

  1. 1. Beijing Municipal Environmental Monitoring Center, Beijing 100048, China
    2. Beijing Municipal Environmental Protection Bureau, Beijing 100044, China
    3. State Key Lab of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
  • Received:2014-08-20 Revised:2014-10-15 Online:2015-01-20 Published:2015-01-20
  • Supported by:
    The Science and Technology Commission of the Beijing Municipality Fund Project, No.Z131100006113009;The Commonwealth Project of the Ministry of Environmental Protection, No.201409005;The National Key Technology R&D Program, No.2014BAC23B03


Data of PM2.5 from 35 automatic air quality monitoring stations of Beijing in 2013 were analyzed to examine the temporal and spatial characteristics of PM2.5 and the correlation between PM2.5 and its precursors and atmospheric oxidation. The results showed that the average concentrations of PM2.5 in different seasons decreased in the order of winter, spring, autumn and summer, which were 122.8 μg·m-3, 85.1 μg·m-3, 84.9 μg·m-3 and 79.1 μg·m-3, respectively. The average concentrations of PM2.5 at different stations decreased in the order of traffic station, urban station, suburban station and regional station, which were 102.2 μg·m-3, 91.8 μg·m-3, 89.1 μg·m-3 and 88.7 μg·m-3, respectively. Monthly average concentrations of PM2.5 showed a wavy-shaped curve, the peaks of which appeared in January, March, June and October, respectively. For the whole year, diurnal variation of PM2.5 at traffic station showed a single-peak curve, while other stations showed bimodal curves. Annual average concentrations of PM2.5 in different regions decreased in the order of southeast, southwest, center (six districts), northeast and northwest. Concentrations of PM2.5 were significantly positively correlated with those of NO2, SO2 and OX, which indicated that precursors and atmospheric oxidation had a significant impact on the concentration of PM2.5.

Key words: Beijing, PM2.5, temporal characteristics, spatial characteristics, precursors, atmospheric oxidation