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Characteristics of aerosol scattering coefficient in autumn Xi'an, China

  • ZHOU Yaqing ,
  • CAO Junji ,
  • WANG Qiyuan ,
  • LIU Suixin ,
  • ZHANG Ting
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  • 1. Key Lab of Aerosol Chemistry & Physics; Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China;
    2. University of Chinese Academy of Sciences, Beijing 100049, China;
    3. Institute of Global Environmental Change, Xi'an Jiaotong University, Xi'an 710049, China

Received date: 2015-02-09

  Revised date: 2015-02-24

  Online published: 2015-04-10

Abstract

To investigate the impact of PM2.5 chemical species on light scattering in autumn Xi'an, light scattering coefficient and PM2.5 samples were collected daily in November 2012 at the Institute of Earth Environment, Chinese Academy of Sciences. The PM2.5 water-soluble ionic species (Na+, NH4+, K+, Mg2+, Ca2+, F-, Cl-, NO3- and SO42-) and carbonaceous (organic carbon and elemental carbon) were analyzed to characterize their impacts on the light scattering coefficient. The average PM2.5 during the sampling period was (195.4±83.5) μg·m-3. The average light scattering coefficient was (579±387) Mm-1, with high value at night and low value in the daytime. The concentration of PM2.5 showed a strong correlation with light scattering coefficient, with a correlation coefficient of 0.85. The estimated light scattering efficiency of PM2.5 was 3.09 m2·g-1. Among the PM2.5 chemical species, NH4+, K+, SO42- and OC had a strong correlation with light scattering coefficient, suggesting that they are the main contribution sources for light extinction coefficient. The revised IMPROVE equation was used to estimate chemical extinction (bext), which was lower than measured bsp, wet. Among the PM2.5 chemical species, organics had the largest contribution to light extinction, accounting for 52.3%, followed by NH4NO3 (16.2%) and (NH4)2SO4 (13.7%).

Cite this article

ZHOU Yaqing , CAO Junji , WANG Qiyuan , LIU Suixin , ZHANG Ting . Characteristics of aerosol scattering coefficient in autumn Xi'an, China[J]. Science & Technology Review, 2015 , 33(6) : 37 -41 . DOI: 10.3981/j.issn.1000-7857.2015.06.005

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