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DOI | 10.5194/acp-23-3195-2023 |
Quantifying particle-to-particle heterogeneity in aerosol hygroscopicity | |
Yuan, Liang; Zhao, Chunsheng | |
发表日期 | 2023 |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
起始页码 | 3195 |
结束页码 | 3205 |
卷号 | 23期号:5页码:11 |
英文摘要 | The particle-to-particle heterogeneity in aerosol hygroscopicity is crucial for understanding aerosol climatic and environmental effects. The hygroscopic parameter kappa, widely applied to describe the hygroscopicity for aerosols both in models and observations, is a probability distribution highly related to aerosol heterogeneity due to the complex sources and aging processes. However, the heterogeneity in aerosol hygroscopicity is not adequately represented in observations and model simulations, leading to challenges in accurately estimating aerosol climatic and environmental effects. Here, we propose an algorithm for quantifying the particle-to-particle heterogeneity in aerosol hygroscopicity, based on information-theoretic entropy measures, by using the data that come only from the in situ measurement of the hygroscopicity tandem differential mobility analyzer (H-TDMA). Aerosols in this algorithm are assumed to be simple binary systems consisting of the less hygroscopic and more hygroscopic components, which are commonly used in H-TDMA measurement. Three indices, including the average per-particle species diversity D-alpha, the bulk population species diversity D-gamma, and their affine ratio chi are calculated from the probability distribution of kappa to describe aerosol heterogeneity. This algorithm can efficiently characterize the evolution of aerosol heterogeneity with time in the real atmosphere. Our results show that the heterogeneity varies much with aerosol particle size, and large discrepancies exist in the width and peak value of particle number size distribution (PNSD) with varied heterogeneity after hygroscopic growth, especially for conditions with high relative humidity. This reveals a vital role of the heterogeneity in ambient PNSD and significant uncertainties in calculating the climate-relevant properties if the population-averaged hygroscopicity is applied by neglecting its heterogeneity. This work points the way toward a better understanding of the role of hygroscopicity in evaluating aerosol climatic and environmental impacts. |
学科领域 | Environmental Sciences; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000946591100001 |
来源期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/273442 |
作者单位 | Chengdu University of Information Technology; Peking University |
推荐引用方式 GB/T 7714 | Yuan, Liang,Zhao, Chunsheng. Quantifying particle-to-particle heterogeneity in aerosol hygroscopicity[J],2023,23(5):11. |
APA | Yuan, Liang,&Zhao, Chunsheng.(2023).Quantifying particle-to-particle heterogeneity in aerosol hygroscopicity.ATMOSPHERIC CHEMISTRY AND PHYSICS,23(5),11. |
MLA | Yuan, Liang,et al."Quantifying particle-to-particle heterogeneity in aerosol hygroscopicity".ATMOSPHERIC CHEMISTRY AND PHYSICS 23.5(2023):11. |
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