2026-08-12 清華大学
Figure 1. Exemplary condensational growth case captured by the system developed in this study, which occurred in Beijing on July 17 and 18, 2025. (a) Modal diameter, (b)k , and (c)kc or kv during the growth events. The “I-” and “II-” represents growth case I and II, while “GE” and “SE” represent growing episode x and shrinkage episode x, respectively. Shaded areas in (b) and (c) represent uncertainties of k and kc.
＜関連情報＞
- https://www.tsinghua.edu.cn/en/info/1245/15015.htm
- https://pubs.acs.org/esthag/article-abstract/60/26/18767/5168884/Characterizing-Long-Term-Multimodal-Condensational
大気エアロゾルの長期的な多峰性凝縮成長を、エアロゾルサイズと吸湿性の同期モニター（SMASH）を用いて特徴付ける Characterizing Long-Term Multimodal Condensational Growth of Atmospheric Aerosols with the Synchronous Monitor of Aerosol Size and Hygroscopicity (SMASH)
Chun Xiong;Guangjie Zheng;Qiang Zhang;Yuyang Li;Dongbin Wang;Zhibin Wang;Jingkun Jiang;Kebin He
Environmental Science & Technology Published:June 25, 2026
DOI:https://doi.org/10.1021/acs.est.6c00847
Abstract
Ultrafine particles (diameters <100 nm) dominate atmospheric particle number concentrations, exerting substantial health and climatic impacts. Condensational growth significantly modifies their size and chemical composition, yet the long-term dominant condensing species remain poorly characterized, largely due to the lack of suitable instruments. Here, we developed the Synchronous Monitor of Aerosol Size and Hygroscopicity (SMASH) for condensing species characterization, integrating a rapid modal diameter identification strategy and the data transmissions between size distribution and size-resolved hygroscopicity measurements. This system thereby enables high-time-resolution (6 min) tracing of growing modal diameter and concurrent hygroscopicity measurements. The hygroscopicity parameter of condensing species, κc, can be subsequently derived, which is indicative of its chemical compositions. This system also enabled characterization of multimodal simultaneous growth events, which yield unique insights into the size-dependence of condensations. The measured κc exhibits high sensitivity to condensing species variations, offering a potential standardized method for growth episode classification and growth rate calculations. Moreover, the highly time-resolved measurements can discern the occurrence of nonideal mixing and thereby constraining associated uncertainties. Considering the dynamic mode-tracking capability, the high time resolution, low cost, and easy maintenance, this system is a promising new tool for large-scale long-term measurements to investigate general characteristics of condensing species.
