Investigation of cloud condensation nuclei activity under different pollution conditions in spring of Nanjing
LU Wen-tao1, MA Yan1,2, ZHENG Jun1, JIANG You-ling1
1. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China; 2. Reading Academy, Nanjing University of Information Science & Technology, Nanjing 210044, China
Abstract：Filed observation of cloud condensation nuclei (CCN) activation properties of aerosols were carried out from March 2018 to April 2018 in the northern suburbs of Nanjing. Meteorological data, PM2.5 number concentration, chemical composition and optical properties of particles are also collected for analysis. The CCN activities of aerosols in polluted days and clean days during the observation period were compared, and the characteristics of typical pollution processes and new particle formation days were analyzed. Results showed that the CCN activity of aerosols are generally high during this observation, with an average hygroscopicity parameter (κ) of 0.30under each supersaturation(SS) condition. The lowest κ was observed under the lowest supersaturation (SS=0.17%), and the maximum activation ratio (B) was 0.72, indicating that aerosols contains many substances that are difficult for activation. κ was seen higher in polluted days than in clean days. When compared to that in clean days, the activation ratio in polluted days was relatively lower and the level of external mixing was higher, which was mainly due to the large amount of less hygroscopic particles emitted by traffic and industry. Aging process of particulate matters are observed fast at night, making particles more hygroscopic and leading to higher CCN number concentration. In new particle formation days, κ showed diurnal variation due to particle nucleation, and new particle formation process also made significant contribution to total aerosol number concentration(NCN) and CCN number concentration(NCCN).
陆文涛, 马嫣, 郑军, 蒋友凌. 不同污染条件下南京春季CCN活化特征分析[J]. 中国环境科学, 2021, 41(9): 4096-4106.
LU Wen-tao, MA Yan, ZHENG Jun, JIANG You-ling. Investigation of cloud condensation nuclei activity under different pollution conditions in spring of Nanjing. CHINA ENVIRONMENTAL SCIENCECE, 2021, 41(9): 4096-4106.
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