4.7 Article

Evolution of surface O3 and PM2.5 concentrations and their relationships with meteorological conditions over the last decade in Beijing

Journal

ATMOSPHERIC ENVIRONMENT
Volume 108, Issue -, Pages 67-75

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.atmosenv.2015.02.071

Keywords

PM2.5; O-3; Meteorological factors; Haze days; Beijing

Funding

  1. Beijing Natural Science Foundation [8152019]
  2. National Science Foundation of China [41305130, 41475135]
  3. State Key Laboratory of Earth Surface Processes and Resource Ecology [2013-KF-05]
  4. Korea Polar Research Institute [PE15010]

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In this study, hourly and daily records since 2005 and correlation, regression and composite methods were used to analyze the long-term evolution of surface O-3 and PM2.5 concentrations at the rural station of Shangdianzi (SDZ) and urban station of Baolian (BL) over Beijing and their relationships with meteorological conditions. The results show that the mean concentrations of PM2.5 (03) decreased (increased) at the urban and rural stations over the last decade. The linear trends of the annual mean concentrations of PM2.5 at BL and SDZ were -31.8 ug/m(3)/10yr (-4.3%/yr) (p < 0.01) and 13.3 ug/m(3)/10yr (-2.9%/yr) (p<0.05), respectively. In winter, the mean wind speed (W-s) and relative humidity (RH) were the most closely correlated with 03 at both stations, whereas RH and sunshine hours (S) were most closely correlated with PM2.5. The correlation coefficients and explained variances in spring and autumn were generally less than those in winter and greater than those in summer. Moreover, increase in precipitation can significantly reduce the PM2.5 concentration in both urban and rural areas in Beijing, whereas trace and light precipitation more effectively decreases the O-3 concentration. Concentrations of PM2.5 (O-3) on haze days increased by 114% (3%) and 162% (20%) compared with that on non-haze days at the urban and rural stations, respectively. This result suggests that haze is a major manifestation of air pollution in Beijing. (C) 2015 Elsevier Ltd. All rights reserved.

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