Classification of aerosols using multiple clustering techniques over Zanjan, Iran, during 2010-2014

• Published in: E3S Web of Conferences
• Main Authors: Gharibzadeh Maryam, Alam Khan, Abedini Yousefali, Bidokhti Abbasali Aliakbari
• Format: Article in Journal/Newspaper
• Language: English; French
• Published: EDP Sciences 2019
• Subjects: Environmental sciences; GE1-350; Aerosol Robotic Network
• Online Access: https://doi.org/10.1051/e3sconf/20199902007; https://doaj.org/article/fa57058e505d462998ba0552296c0056

A more detailed study and identification of aerosol types can help to better understand the sources and effects of aerosols. In the present study, a number of optical properties of aerosols have been investigated seasonal for discrimination of aerosol types during 2010-2014 over Zanjan, Iran. Also using AERosol RObotic NETwork (AERONET) data, aerosol was classified by multiple clustering techniques. Both fine and coarse modes particles were seen in seasonal averaged of Aerosol Volume Size Distribution (AVSD). Single Scattering Albedo (SSA) variations indicate the presence of scattering aerosol like dust in the spring, summer and fall, and dominance of absorbing type aerosols in the winter. The maximum value of the phase function was observed in the summer and in small scattering angle which can be due to presence of coarse mode dust particles. The scatter plot of Aerosol Optical Depth (AOD) versus Angstrom Exponent (AE) is one of the most effective methods to find aerosol types. Extinction Angstrom exponent (EAE) versus SSA and EAE versus absorption Angstrom exponent (AAE) are other ways to classification of aerosol types. Graphs show abundance of dust in the spring, summer and fall in Zanjan's atmosphere. Also presence of urban/industrial aerosols is in all seasons, especially in the fall and winter. In addition mixed aerosols exist in all seasons. On the other hand, no biomass burning aerosols found in Zanjan's atmosphere.