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DOI | 10.5194/acp-20-6273-2020 |
Direct links between hygroscopicity and mixing state of ambient aerosols: Estimating particle hygroscopicity from their single-particle mass spectra | |
Wang X.; Ye X.; Chen J.; Wang X.; Yang X.; Fu T.-M.; Zhu L.; Liu C. | |
发表日期 | 2020 |
ISSN | 1680-7316 |
起始页码 | 6273 |
结束页码 | 6290 |
卷号 | 20期号:11 |
英文摘要 | Hygroscopicity plays crucial roles in determining aerosol optical properties and aging processes in the atmosphere. We investigated submicron aerosol hygroscopicity and composition by connecting an aerosol time-of-flight mass spectrometer (ATOFMS) in series to a hygroscopic tandem differential mobility analyzer (HTDMA), to characterize hygroscopicity and composition of ambient aerosols in Shanghai, China. The HTDMA-ATOFMS data suggested that particle types, including biomass burning, elemental carbon (EC), dust/ash, organic particles, cooking particles and sea salt, were shown to have distinct hygroscopicity distributions. Peak intensities in particle spectra were found to be nonlinearly correlated with hygroscopicity, and the correlations were variant with particle types. Based on the measured hygroscopicity-composition relations, we developed a statistical method to estimate ambient particle hygroscopicity just from their mass spectra. The method was applied to another ambient ATOFMS dataset sampled from 12 to 28 September 2012 in Shanghai. The estimated hygroscopicity suggested that ambient particles were present in three apparent hygroscopicity modes, whose growth factors peaked at 1.05, 1.42 and 1.60 (85 % relative humidity, RH). The estimated growth factor (GF) were divided into four bins as <1.1, 1.1-1.3, 1.3-1.5 and >1.5 to represent the nearly hydrophobic (NH), less-hygroscopic (LH), more-hygroscopic (MH) and sea salt (SS) modes. Number contributions of particle types to hygroscopicity modes showed consistent results with the HTDMA-ATOFMS experiment. Based on the combined information on particle composition, hygroscopicity, air mass back trajectories and ambient pollutant concentrations, we inferred that the NH, LH, MH and SS modes were characterized by primary organic aerosol (POA) ĝˆ• EC, secondary organic aerosol (SOA), secondary inorganic aerosol (SIA) and salt compositions, respectively. The proposed method would provide additional information to the study of particle mixing states, source identification and visibility variation. © 2020 Copernicus GmbH. All rights reserved. |
语种 | 英语 |
scopus关键词 | aerosol; aerosol composition; ambient air; biomass burning; elemental carbon; hygroscopicity; mass spectrometry; particulate organic matter; China; Shanghai |
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/141314 |
作者单位 | Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, China; School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China |
推荐引用方式 GB/T 7714 | Wang X.,Ye X.,Chen J.,et al. Direct links between hygroscopicity and mixing state of ambient aerosols: Estimating particle hygroscopicity from their single-particle mass spectra[J],2020,20(11). |
APA | Wang X..,Ye X..,Chen J..,Wang X..,Yang X..,...&Liu C..(2020).Direct links between hygroscopicity and mixing state of ambient aerosols: Estimating particle hygroscopicity from their single-particle mass spectra.Atmospheric Chemistry and Physics,20(11). |
MLA | Wang X.,et al."Direct links between hygroscopicity and mixing state of ambient aerosols: Estimating particle hygroscopicity from their single-particle mass spectra".Atmospheric Chemistry and Physics 20.11(2020). |
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