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Volume 14, issue 14
Atmos. Chem. Phys., 14, 7631–7644, 2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Program of Regional Integrated Experiments on Air Quality...

Atmos. Chem. Phys., 14, 7631–7644, 2014
© Author(s) 2014. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 30 Jul 2014

Research article | 30 Jul 2014

An alternative method for estimating hygroscopic growth factor of aerosol light-scattering coefficient: a case study in an urban area of Guangzhou, South China

Z. J. Lin1,5, Z. S. Zhang1, L. Zhang2, J. Tao1, R. J. Zhang3, J. J. Cao4, S. J. Fan5, and Y. H. Zhang6 Z. J. Lin et al.
  • 1South China Institute of Environmental Sciences, the Ministry of Environment Protection of PRC, Guangzhou, China
  • 2Air Quality Research Division, Science Technology Branch, Environment Canada, Toronto, Canada
  • 3RCE-TEA, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
  • 4Key Laboratory of Aerosol, SKLLQG, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an, China
  • 5Department of Atmospheric Science, Sun Yat-Sen University, Guangzhou, China
  • 6State Joint Key Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing, China

Abstract. A method was developed to estimate hygroscopic growth factor (f(RH)) of aerosol light-scattering coefficient (bsp), making use of the measured size- and chemically resolved aerosol samples. In this method, chemical composition of the measured aerosol samples were first reconstructed using the equilibrium model ISORROPIA II. The reconstructed chemical composition, which varies with relative humidity (RH), was then employed to calculate bsp and hygroscopic growth factor of bsp (fsp(RH)) using the Mie model. Furthermore, the calculated fsp(RH) was fitted with an empirical curve. To evaluate the applicability of fsp(RH), the curve of fsp(RH) was used to correct the long-term records of the measured bsp from the values under comparative dry conditions to the ones under ambient RH conditions. Compared with the original bsp data, the fsp(RH)-corrected bsp had a higher linear correlation with, and a smaller discrepancy from, the bsp derived directly from visibility and absorption measurements. The fsp(RH) determined here was further compared with that reported in previous studies. The method described in this manuscript provides an alternative approach to derive credible fsp(RH) with high accuracy and has many potential applications in aerosol-related research.

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