Remote sensing of aerosol properties during intense smog events over Lahore (Pakistan)

In recent years, smog has been one of the main concerns in heavily populated urban areas like Lahore (Pakistan) and Kanpur (India). Atmospheric pollutants aerosols play an important role smog. this paper, aerosol types are identified episodes, based on Aerosol Robotic Network (AERONET) data, during 4-year period i.e., 2015-2018. Aerosols classified fine mode fraction (FMF) single scattering albedo (SSA). One which abundant every episode is Black Carbon (BC) while dust present throughout year. BC responsible for radiation imbalance considered component climate changes at regional global levels. Furthermore, time series optical depth (AOD) episodes used to identify variability burden atmosphere. Backward trajectories from HYSPLIT model trace origin days maximum AOD.