Journal of Atmospheric and Environmental Optics ›› 2015, Vol. 10 ›› Issue (2): 149-157.

• 论文 • Previous Articles     Next Articles

Comparison and Analysis of Measurement of PM2.5 Between Filter-based Sampling Method and β-ray Attenuation Method

ZHANG Xiaochun1,2,3, ZHAO Yanan2,4, JIA Xiaofang2   

  1. (1.Chinese Academy of Meteorological Sciences, Beijing 100081, China; 
    2. Meteorological Observation Center of CMA, Beijing 100081, China; 
    3. University of the Chinese Academy of Sciences, Beijing 100049, China; 
    4. China Meteorological Administration Meteorological Training Center, Beijing 100081, China)
  • Received:2014-12-25 Revised:2015-02-16 Online:2015-03-28 Published:2015-04-02

Abstract:

A compared experiment of PM2.5 mass concentration automatic and manual sampling methods was carried out in Shangdianzi Atmospheric Background Station in Beijing from September to October in 2013 by using ray automatic observation instruments and filter-based sampling equipment. The results showed that there is good consistency and significant linear relationship between the observation data of the two methods; when PM2.5 mass concentration is lower than 35μg•m-3 or higher than 250 μg•m-3, the deviation between the two methods is larger than other circumstances; along with the increase of PM2.5 mass concentration, the deviation of two methods increased gradually. The Linear regression equation’s slope, intercept and correlation coefficient between the two methods all reach the relevant requirements of the people's Republic of China State Environmental Protection Standard of HJ 653-2013. For all observation data, great than 10 μg•m-3 and the range data of 10 ~ 150 μg•m-3, a correct regression equation is established respectively, and also according to the different air back trajectories conditions correct equations are established. The correction effects shows that the established equation within the range data of 10 ~ 150 μg•m-3 is the best one.

Key words: PM2.5, β-ray method, filter sampling, comparison and analysis

CLC Number: