Analytic solution on the estimation of the ångstrom exponent in log-normal aerosol size distribution

Chang H. Jung, Yong P. Kim

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

In this study, the Ångstrom exponent of the polydispersed aerosol size distribution was theoretically studied. The Ångstrom exponent was represented using a harmonic mean type analytic approximation. A log-normal aerosol size distribution was assumed and a sensitive analysis of the Ångstrom exponent was performed. The change in the Ångstrom exponent was estimated for a range of values of the real and imaginary parts of the refractive index. The result of the approximate analytic solution was comparable with that obtained by numerical integration, although there exists some discrepancy, especially for the intermediate range of particle sizes. Subsequently, this study quantitatively shows how the refractive index and particle size distribution are crucial in estimating the Ångstrom exponent, and that an analytic type approximation can be applied for the estimation of the Ångstrom exponent, especially for the limiting ranges of particle size (i.e., for the Rayleigh and geometric mean dominant size ranges).

Original languageEnglish
Pages (from-to)92-99
Number of pages8
JournalParticulate Science and Technology
Volume31
Issue number1
DOIs
StatePublished - 1 Jan 2013

Bibliographical note

Funding Information:
This work was funded by the Korea Meteorological Administration Research and Development Program under Grant RACS 2010-3006 and by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No. 2012R1A1A201133).

Keywords

  • analytic solution
  • extinction coefficient
  • harmonic mean
  • log-normal size distribution
  • polydispersed aerosol
  • Ångstrom exponent

Fingerprint

Dive into the research topics of 'Analytic solution on the estimation of the ångstrom exponent in log-normal aerosol size distribution'. Together they form a unique fingerprint.

Cite this