Impacts of Aerosol Chemical Composition on Cloud Condensation Nuclei (CCN) Activity during Wintertime in Beijing, China
نویسندگان
چکیده
The cloud condensation nuclei (CCN) activity and aerosol chemical composition were concurrently measured via a scanning mobility CCN analyzer (SMCA) an Aerodyne Time-of-Flight Aerosol Chemical Speciation Monitor (ACSM), respectively, during wintertime 2022 in Beijing, China. During the observation period, mean number concentrations ranged from 1345 ± 1270 cm−3 at SS = 0.1% to 3267 2325 0.3%. critical activation diameters (D50) 0.1%, 0.2%, 0.3% 172 13 nm, 102 8 84 7 corresponding average hygroscopicity parameters (κCCN) of 0.34, 0.33, 0.26, respectively. diurnal variations D50 suggested that local primary emissions significantly enhanced 0.2% 0.3%, but had less influence on due limited size (<150 nm) particles emitted sources. As PM2.5 concentration increases, dominant driver transitions sulfate nitrate. At specific SS, decreased with increases degree internal mixing, implying elevated mixing atmospheric aging was beneficial activation. In this study, commonly used f44 (or O:C) weakly correlated κorg failed describe κorg. Instead, can be well parameterized Org/BC ratio. correlation between κ derived bulk compositions measurements substantially improved when scheme adopted, emphasizing importance considering deriving κchem composition.
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ژورنال
عنوان ژورنال: Remote Sensing
سال: 2023
ISSN: ['2315-4632', '2315-4675']
DOI: https://doi.org/10.3390/rs15174119