中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics

文献类型:期刊论文

作者Che, H. C.1,2; Zhang, X. Y.1,3,4; Zhang, L.1,2; Wang, Y. Q.1; Zhang, Y. M.1; Shen, X. J.1; Ma, Q. L.5; Sun, J. Y.1,6; Zhong, J. T.1
刊名SCIENTIFIC REPORTS
出版日期2017-07-19
卷号7页码:12
ISSN号2045-2322
DOI10.1038/s41598-017-05998-3
通讯作者Zhang, X. Y.(xiaoye@camscma.cn)
英文摘要Atmospheric aerosol particles acting as cloud condensation nuclei (CCN) are key elements in the hydrological cycle and climate. To improve our understanding of the activation characteristics of CCN and to obtain accurate predictions of their concentrations, a long-term field campaign was carried out in the Yangtze River Delta, China. The results indicated that the CCN were easier to activate in this relatively polluted rural station than in clean (e.g., the Amazon region) or dusty (e.g., Kanpurspring) locations, but were harder to activate than in more polluted urban areas (e.g., Beijing). An improved method, using two additional parameters-the maximum activation fraction and the degree of heterogeneity, is proposed to predict the accurate, size-resolved concentration of CCN. The value ranges and prediction uncertainties of these parameters were evaluated. The CCN predicted using this improved method with size-resolved chemical compositions under an assumption that all particles were internally mixed showed the best agreement with the long-term field measurements.
收录类别SCI
WOS关键词YANGTZE-RIVER DELTA ; SINGLE-PARAMETER REPRESENTATION ; AEROSOL CHEMICAL-COMPOSITION ; BIOMASS BURNING SMOKE ; MEGA-CITY GUANGZHOU ; NORTH CHINA PLAIN ; MIXING STATE ; CCN ACTIVITY ; HYGROSCOPIC GROWTH ; ORGANIC AEROSOL
WOS研究方向Science & Technology - Other Topics
WOS类目Multidisciplinary Sciences
语种英语
出版者NATURE PUBLISHING GROUP
WOS记录号WOS:000405894200037
URI标识http://www.irgrid.ac.cn/handle/1471x/2557717
专题寒区旱区环境与工程研究所
通讯作者Zhang, X. Y.
作者单位1.Chinese Acad Meteorol Sci, Inst Atmospher Composit, Key Lab Atmospher Chem CMA, Beijing 100081, Peoples R China
2.Univ Chinese Acad Sci, Coll Earth Sci, Beijing 100049, Peoples R China
3.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Reg Atmospher Environm, IUN, Xiamen 361021, Peoples R China
5.LinAn Reg Global Atmosphere Watch Stn, Linan 311307, Peoples R China
6.Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China
推荐引用方式
GB/T 7714
Che, H. C.,Zhang, X. Y.,Zhang, L.,et al. Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics[J]. SCIENTIFIC REPORTS,2017,7:12.
APA Che, H. C..,Zhang, X. Y..,Zhang, L..,Wang, Y. Q..,Zhang, Y. M..,...&Zhong, J. T..(2017).Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics.SCIENTIFIC REPORTS,7,12.
MLA Che, H. C.,et al."Prediction of size-resolved number concentration of cloud condensation nuclei and long-term measurements of their activation characteristics".SCIENTIFIC REPORTS 7(2017):12.

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来源:寒区旱区环境与工程研究所

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