Che H C, Zhang X Y, Wang Y Q, Zhang L, Shen X J, Zhang Y M, Ma Q L, Sun J Y, Zhang Y W, Wang T T
Key Laboratory of Atmospheric Chemistry of CMA, Institute of Atmospheric Composition, Chinese Academy of Meteorological Sciences, Beijing 100081, China.
College of Earth Science, University of Chinese Academy of Sciences, Beijing 100049, China.
Sci Rep. 2016 Apr 14;6:24497. doi: 10.1038/srep24497.
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 (κ) of organic aerosols can be classified into 0.1 and 0.2 in different weather types. The particles at ~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.
为了更好地了解不同污染条件下气溶胶颗粒的云凝结核(CCN)活化能力,在中国长江三角洲地区的一个区域全球大气观测(GAW)站进行了一项长期野外实验。在清洁天气下,气溶胶颗粒的均匀性最高,在所有天气类型中活性分数最高。对于相同能见度的污染情况,相对湿度较高的天气条件下残留的气溶胶颗粒混合更不均匀且更具异质性,吸湿能力较低。在不同天气类型中,有机气溶胶的吸湿能力(κ)可分为0.1和0.2。在雾霾天气条件下,约150纳米的颗粒很容易被激活。对于CCN预测,在低过饱和度(≤0.1%)时,整体化学成分法更接近观测值,而当过饱和度≥0.2%时,粒径分辨化学成分法更准确。至于气溶胶颗粒的混合状态,在雾霾、重度雾霾和严重雾霾天气条件下,基于内部混合假设的CCN预测较为可靠,而对于其他天气条件,基于外部混合假设的预测更准确。