Characterization and parameterization of aerosol cloud condensation nuclei activation under different pollution conditions

被引:37
作者
Che, H. C. [1 ,2 ]
Zhang, X. Y. [1 ]
Wang, Y. Q. [1 ]
Zhang, L. [1 ,2 ]
Shen, X. J. [1 ]
Zhang, Y. M. [1 ]
Ma, Q. L. [3 ]
Sun, J. Y. [1 ,4 ]
Zhang, Y. W. [5 ]
Wang, T. T. [6 ]
机构
[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] LinAn Reg Atmosphere Background Stn, Linan 311307, Peoples R China
[4] Chinese Acad Sci, Cold & Arid Reg Environm & Engn Res Inst, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China
[5] China Off, INC, Trinity Consultants, Hangzhou 310012, Zhejiang, Peoples R China
[6] Heilongjiang Meteorol Bur, Harbin 150001, Peoples R China
关键词
YANGTZE-RIVER DELTA; BIOMASS BURNING SMOKE; SIZE-RESOLVED MEASUREMENTS; MEGA-CITY GUANGZHOU; CHEMICAL-COMPOSITION; ATMOSPHERIC AEROSOL; HYGROSCOPIC GROWTH; CCN CONCENTRATION; LIGHT-SCATTERING; AMBIENT AEROSOL;
D O I
10.1038/srep24497
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
To better understand the cloud condensation nuclei (CCN) activation capacity of aerosol particles in different pollution conditions, a long-term field experiment was carried out at a regional GAW (Global Atmosphere Watch) station in the Yangtze River Delta area of China. The homogeneity of aerosol particles was the highest in clean weather, with the highest active fraction of all the weather types. For pollution with the same visibility, the residual aerosol particles in higher relative humidity weather conditions were more externally mixed and heterogeneous, with a lower hygroscopic capacity. The hygroscopic capacity (kappa) of organic aerosols can be classified into 0.1 and 0.2 in different weather types. The particles at similar to 150 nm were easily activated in haze weather conditions. For CCN predictions, the bulk chemical composition method was closer to observations at low supersaturations (<= 0.1%), whereas when the supersaturation was >= 0.2%, the size-resolved chemical composition method was more accurate. As for the mixing state of the aerosol particles, in haze, heavy haze, and severe haze weather conditions CCN predictions based on the internal mixing assumption were robust, whereas for other weather conditions, predictions based on the external mixing assumption were more accurate.
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页数:14
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