Characterization and source apportionment of aerosol light extinction with a coupled model of CMB-IMPROVE in Hangzhou, Yangtze River Delta of China

• Published in: Atmospheric research 2016-09, Vol.178-179, p.570-579
• Main Authors: Wang, Jiao, Zhang, Yu-fen, Feng, Yin-chang, Zheng, Xian-jue, Jiao, Li, Hong, Sheng-mao, Shen, Jian-dong, Zhu, Tan, Ding, Jing, Zhang, Qi
• Format: Article
• Language: English
• Subjects: Aerosol light extinction; Coupled model; Freshwater; IMPROVE; Source apportionment
• ISSN: 0169-8095; 1873-2895
• DOI: 10.1016/j.atmosres.2016.05.009

To investigate the characteristics and sources of aerosol light extinction in the Yangtze River Delta of China, a campaign was carried out in Hangzhou from December 2013 to November 2014. Hourly data for air pollutants including PM2.5, SO2, NO2, O3 and CO, and aerosol optical properties including aerosol scattering coefficient and aerosol absorbing coefficient was obtained in the environmental air quality automatic monitoring station. Meteorological parameters were measured synchronously in the automated meteorology monitoring station. Additionally, around seven sets of ambient PM2.5 samples per month were collected and analyzed during the campaign. The annual mean aerosol scattering coefficient, aerosol absorbing coefficient and aerosol single scattering albedo measured in this study was 514±284Mm−1, 35±20Mm−1 and 94% respectively. The aerosol extinction coefficient reconstructed using the modified IMPROVE (Interagency Monitoring of Protected Visual Environment) formula was compared to the measured extinction coefficient. Better correlations could be found between the measured and reconstructed extinction coefficient when RH was under 90%. A coupled model of CMB (chemical mass balance) and modified IMPROVE was used to apportion the sources of aerosol light extinction in Hangzhou. Vehicle exhaust, secondary nitrate and secondary sulfate were identified as the most significant sources for aerosol light extinction, accounted for 30.2%, 24.1% and 15.8% respectively. •Concentrations, mass size distributions of PM and composition were analyzed.•Correlations between light extinction and PM2.5 at different RHs were analyzed.•Aerosol light extinction was apportioned by a new coupled model of CMB-IMPROVE.•Source contributions to PM2.5 and aerosol light extinction were compared.