Similarities and Differences in Mass Spectral Signatures of Primary Organic Aerosol From Biomass Burning, Cooking, Coal Combustion, and Vehicle Exhaust

IF 3.4 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Jie Tian, Qiyuan Wang, Li Li, Weikang Ran, Yong Zhang, Yaqing Zhou, Huikun Liu, Miao Gao, Yichen Wang, Haiyan Ni, Chong Wei, Nan Ma, Yongming Han, Junji Cao
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引用次数: 0

Abstract

A comprehensive understanding of mass spectra of primary organic aerosols (OA) from anthropogenic sources is crucial for source apportionment of ambient OA measured by aerosol mass spectrometer. However, localized mass spectral data in China are still scarce. This study conducted a series of source emission experiments using a quadrupole aerosol chemical speciation monitor (ACSM) to characterize mass spectra of OA from crop residue burning (CRBOA), wood burning (WBOA), cooking (COA), coal combustion (CCOA), and vehicle exhaust (VEOA). The extracted marker fragments and diagnostic ratios from mass spectra were investigated, revealing their representativeness and effectiveness in distinguishing OA sources. Distinct differences were generally found between OA mass spectra from various anthropogenic sources. Additionally, subtypes of COA and CCOA mass spectra showed notable differences, allowing for finer OA source apportionment. Cluster analysis of existing 57 OA mass spectra further demonstrated their efficacy in identifying OA sources, and revealed certain sources were grouped into distinct clusters. This highlights the importance of using localized mass spectra for refined OA source classification. Our mass spectral characterization of primary OA from anthropogenic sources offers a practical data set for ACSM-based source apportionment, which can support more accurate identification of ambient OA sources in China.

Abstract Image

生物质燃烧、烹饪、煤炭燃烧和汽车尾气产生的初级有机气溶胶质谱特征的异同
全面了解来自人为源的原生有机气溶胶(OA)的质谱对于气溶胶质谱仪测量环境OA的源分配至关重要。然而,中国本地化的质谱数据仍然很少。本研究利用四极杆气溶胶化学形态监测仪(ACSM)进行了一系列源排放实验,以表征作物残茬燃烧(CRBOA)、木材燃烧(WBOA)、烹饪(COA)、煤炭燃烧(CCOA)和汽车尾气(VEOA)中OA的质谱。研究了提取的标记片段和质谱的诊断率,揭示了它们在鉴别OA源方面的代表性和有效性。不同人为来源的OA质谱之间普遍存在明显差异。此外,COA和CCOA质谱的亚型显示出显着差异,允许更精细的OA源分配。对现有57个OA质谱的聚类分析进一步证明了它们对OA源的识别效果,并发现某些OA源被划分为不同的聚类。这突出了使用局域质谱对OA源精细分类的重要性。我们对来自人为源的原始OA的质谱表征为基于acsm的源分配提供了一个实用的数据集,这可以支持更准确地识别中国环境OA源。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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