Ping Wang1,3, Junji Cao 1,2, Xuexi Tie1, Gehui Wang1, Guohui Li1, Tafeng Hu1, Yaoting Wu3, Yunsheng Xu3, Gongdi Xu3, Youzhi Zhao3, Wenci Ding3, Huikun Liu1, Rujin Huang1, Changlin Zhan4

  • 1 Key Laboratory of Aerosol Chemistry & Physics, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710075, China
  • 2 Institute of Global Environmental Change, Xi’an Jiaotong University, Xi’an 710049, China
  • 3 Qiongzhou University, Sanya 722000, China
  • 4 School of Environmental Science and Engineering, Hubei Key Laboratory of Mine Environmental Pollution Control and Remediation, Hubei Polytechnic University, Huangshi 435003, China

Received: May 31, 2015
Revised: August 4, 2015
Accepted: August 14, 2015
Download Citation: ||https://doi.org/10.4209/aaqr.2015.05.0380  

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Cite this article:
Wang, P., Cao, J., Tie, X., Wang, G., Li, G., Hu, T., Wu, Y., Xu, Y., Xu, G., Zhao, Y., Ding, W., Liu, H., Huang, R. and Zhan, C. (2015). Impact of Meteorological Parameters and Gaseous Pollutants on PM2.5 and PM10 Mass Concentrations during 2010 in Xi’an, China. Aerosol Air Qual. Res. 15: 1844-1854. https://doi.org/10.4209/aaqr.2015.05.0380


HIGHLIGHTS

  • Terrain, meteorological parameters and precursors constrain PM2.5/PM10 spatiotemporally.
  • Relative Humidity is the main factor.
  • SO2 is still the primary gaseous pollutant.

 

ABSTRACT


Mass concentrations of PM2.5 and PM10 from the six urban/rural sampling sites of Xi’an were obtained during two weeks of every month corresponding to January, April, July and October during 2010, together with the six meteorological parameters and the data of two precursors. The result showed that the average annual mass concentrations of PM2.5 and PM10 were 140.9 ± 108.9 µg m–3 and 257.8 ± 194.7 µg m–3, respectively. Basin terrain constrains the diffusion of PM2.5 and PM10 concentration spatially. High concentrations in wintertime and low concentrations in summertime are due to seasonal variations of meteorological parameters and cyclic changes of precursors (SO2 and NO2). Stepwise Multiple Linear Regression (MLR) analysis indicates that relative humidity is the main factor influencing on meteorological parameter. Entry MLR analysis suggests that SO2 from local coal-burning power plants is still the primary pollutant. Trajectory cluster results of PM2.5 at BRR indicate that the entrained urban pollutants carried by the westerly or winter monsoon forms the dominant regional pollution sources in winter and spring. Ultraviolet (UV) aerosol index verified the source and pathway of dust storm in spring.


Keywords: Meteorological parameters; Gaseous pollutants; Xi’an; PM2.5 and PM10


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