Weilin Yang, Guochen Wang, Chunjuan Bi

  • School of Geographical Sciences, Key Laboratory of Geographical Information Science of Ministry of Education, East China Normal University, Shanghai 200241, China

Received: June 1, 2016
Revised: February 27, 2017
Accepted: April 22, 2017
Download Citation: ||https://doi.org/10.4209/aaqr.2016.06.0220  

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Cite this article:
Yang, W., Wang, G. and Bi, C. (2017). Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China. Aerosol Air Qual. Res. 17: 1610-1622. https://doi.org/10.4209/aaqr.2016.06.0220


HIGHLIGHTS

  • The concentration of PM2.5 decreased from south to north of Beijing.
  • Calm and steady meteorological condition was the major influence of PM2.5 concentration.
  • The air flows at 500 m had the greatest contribution of the air pollution.
  • The potential sources were the built-up areas in Jing-Jin-Ji zone.

 

ABSTRACT


Comprehensively using Inverse Distance Weighted (IDW) analysis, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, three-dimensional (3D) cluster analysis, Weight Potential Source Concentration Function (WPSCF) analysis and other statistic methods, we mainly studied about the spatio-temporal variation, long-range transport and potential source regions of PM2.5 in Beijing during a short severe haze from Dec05 to Dec11, 2015. The results showed that the concentration of PM2.5 decreased from south to north of Beijing. PM2.5 accumulation in the short-severe haze had high correlation with calm and steady meteorological condition (high relative humidity (RH), low wind speed (WS), low boundary-layer temperature (BLT) and surface air pressure (SAP)). In addition, air-flow in different heights (500 m, 1500 m and 3000 m) had different effects on the haze episode and the air flows at 500 m had the greatest contribution of the air pollution. The potential sources were mainly from the desert in northwest of Beijing and the built-up areas in Jing-Jin-Ji zone. Higher WPSCF values (> 0.7) were mainly distributed in Hebei, west Shandong province (around 0.5) and south Tianjin (around 0.5).


Keywords: PM2.5; Meteorological parameters; HYSPLIT; Potential sources; Spatio-temporal distribution


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