波动性(金融)
纳米颗粒
环境化学
饱和(图论)
化学
粒径
环境科学
材料科学
纳米技术
物理化学
数学
金融经济学
组合数学
经济
作者
Zeqi Li,Bin Zhao,Dejia Yin,Yafei Wang,Xiaohui Qiao,Jingkun Jiang,Y. P. Li,Jianjian Shen,Yuhong He,Xing Chang,Xiaoxiao Li,Wei Nie,Yuanyuan Li,Chong Liu,Ximeng Qi,Liangduo Chen,Xuguang Chi,Yueqi Jiang,Yuyang Li,Jin Wu,Wei Nie,Aijun Ding
标识
DOI:10.1021/acs.est.3c06708
摘要
Nanoparticle growth influences atmospheric particles’ climatic effects, and it is largely driven by low-volatility organic vapors. However, the magnitude and mechanism of organics’ contribution to nanoparticle growth in polluted environments remain unclear because current observations and models cannot capture organics across full volatility ranges or track their formation chemistry. Here, we develop a mechanistic model that characterizes the full volatility spectrum of organic vapors and their contributions to nanoparticle growth by coupling advanced organic oxidation modeling and kinetic gas-particle partitioning. The model is applied to Nanjing, a typical polluted city, and it effectively captures the volatility distribution of low-volatility organics (with saturation vapor concentrations <0.3 μg/m3), thus accurately reproducing growth rates (GRs), with a 4.91% normalized mean bias. Simulations indicate that as particles grow from 4 to 40 nm, the relative fractions of GRs attributable to organics increase from 59 to 86%, with the remaining contribution from H2SO4 and its clusters. Aromatics contribute much to condensable organic vapors (∼37%), especially low-volatility vapors (∼61%), thus contributing the most to GRs (32–46%) as 4–40 nm particles grow. Alkanes also contribute 19–35% of GRs, while biogenic volatile organic compounds contribute minimally (<13%). Our model helps assess the climatic impacts of particles and predict future changes.
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