Characterization and prediction of cloud condensation nuclei activity in the northern suburb of Nanjing
ZHAO Jie-xin1,2, MA Yan1,2, ZHENG Jun1,2
1. School of Environmental Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China;
2. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Nanjing 210044, China
The size-resolved CCN activation properties of aerosol particles with diameters of 8.2~346nm were measured using SMPS-CCNC with full scan mode from November to December 2016 in the northern suburb of Nanjing, and six parameterization methods were used to predict the number concentration of CCN. The results showed that both the CCN activity and hygroscopicity of aerosols in Nanjing were relatively high, with an average hygroscopicity parameter (κ) of 0.31. From comparison of the CCN properties in clean and polluted conditions, it was found that the polluted conditions were characterized by relatively high aerosol and CCN number concentrations, but lower CCN activation and aerosol hygroscopicity, which may be accounted for the freshly emitted black carbon or organics. By comparing the closure results of six parameterization methods, it was found that the prediction of CCN number concentration by using cut-off diameters and critical dry diameters generated best result. Furthermore, the effects of parameters with different time resolution on the closure results were discussed, and it was found that the improvement of the time resolution of parameters could only increase the R2 value of the closure result, whereas the effects on closure slope could almost be ignored. Therefore, it was suggested that the average diurnal variation of each parameter can be directly used to predict the CCN number concentration.
赵洁心, 马嫣, 郑军. 南京北郊云凝结核活化特征观测及闭合研究[J]. 中国环境科学, 2018, 38(7): 2415-2424.
ZHAO Jie-xin, MA Yan, ZHENG Jun. Characterization and prediction of cloud condensation nuclei activity in the northern suburb of Nanjing. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(7): 2415-2424.
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