Skip to main navigation Skip to search Skip to main content

Graphical aerosol classification method using aerosol relative optical depth

  • Qi Xiang Chen
  • , Yuan Yuan*
  • , Yong Shuai
  • , He Ping Tan
  • *Corresponding author for this work
  • School of Energy Science and Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

A simple graphical method is presented to classify aerosol types based on a combination of aerosol optical thickness (AOT) and aerosol relative optical thickness (AROT). Six aerosol types, including maritime (MA), desert dust (DD), continental (CO), sub-continental (SC), urban industry (UI) and biomass burning (BB), are discriminated in a two dimensional space of AOT440 and AROT1020/440. Numerical calculations are performed using MIE theory based on a multi log-normal particle size distribution, and the AROT ranges for each aerosol type are determined. More than 5 years of daily observations from 8 representative aerosol sites are applied to the method to confirm spatial applicability. Finally, 3 individual cases are analyzed according to their specific aerosol status. The outcomes indicate that the new graphical method coordinates well with regional characteristics and is also able to distinguish aerosol variations in individual situations. This technique demonstrates a novel way to estimate different aerosol types and provide information on radiative forcing calculations and satellite data corrections.

Original languageEnglish
Pages (from-to)84-91
Number of pages8
JournalAtmospheric Environment
Volume135
DOIs
StatePublished - 1 Jun 2016
Externally publishedYes

Keywords

  • Aerosol classification method
  • Aerosol optical thickness (AOT)
  • Aerosol relative optical thickness (AROT)
  • Pollutants

Fingerprint

Dive into the research topics of 'Graphical aerosol classification method using aerosol relative optical depth'. Together they form a unique fingerprint.

Cite this