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Predicting cloud condensation nuclei number concentration based on conventional measurements of aerosol properties in the North China Plain.

Authors :
Zhang, Yanyan
Tao, Jiangchuan
Ma, Nan
Kuang, Ye
Wang, Zhibin
Cheng, Peng
Xu, Wanyun
Yang, Wenda
Zhang, Shaobin
Xiong, Chun
Dong, Wenlin
Xie, Linhong
Sun, Yele
Fu, Pingqing
Zhou, Guangsheng
Cheng, Yafang
Su, Hang
Source :
Science of the Total Environment. Jun2020, Vol. 719, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

Cloud condensation nuclei (CCN) play an important role in the formation and evolution of cloud droplets. However, the dataset of global CCN number concentration (N CCN) is still scarce due to the lack of direct CCN measurements, hindering an accurate evaluation of its climate effects. Alternative approaches to determine N CCN have thus been proposed to calculate N CCN based on measurements of other aerosol properties, such as particle number size distribution, bulk aerosol chemical composition and aerosol optical properties. To better understand the interaction between haze pollution and climate, we performed direct CCN measurements in the winter of 2018 at the Gucheng site, a typical polluted suburban site in North China Plain (NCP). The results show that the average CCN concentrations were 3.81 × 103 cm−3, 5.35 × 103 cm−3, 9.74 × 103 cm−3, 1.27 × 104 cm−3, 1.44 × 104 cm−3 at measured supersaturation levels of 0.114%, 0.148%, 0.273%, 0.492% and 0.864%, respectively. Based on these observational data, we have further investigated two methods of calculating N CCN from: (1) bulk aerosol chemical composition and particle number size distribution; (2) bulk aerosol chemical composition and aerosol optical properties. Our results showed that both methods could well reproduce the observed concentration (R 2 > 0.88) and variability of N CCN with a 9% to 23% difference in the mean value. Further error analysis shows that the estimated N CCN tends to be underestimated by about 20% during the daytime while overestimated by <10% at night compared with the measured N CCN. These results provide quantitative instructions for the N CCN prediction based on conventional aerosol measurements in the NCP. Unlabelled Image • Conventional measurements of PNSD and bulk aerosol chemical composition perform well in predicting N CCN • The estimation of N CCN based on conventional measurements of AOP can be applicable under SSs lower than 0.114% • Relative deviations between calculated and measured N CCN suggest significant diurnal variations of aerosol hygroscopicity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00489697
Volume :
719
Database :
Academic Search Index
Journal :
Science of the Total Environment
Publication Type :
Academic Journal
Accession number :
142409924
Full Text :
https://doi.org/10.1016/j.scitotenv.2020.137473