气候变化领域集成服务门户(CCPortal): Combined positive matrix factorization (PMF) and nitrogen isotope signature analysis to provide insights into the source contribution to aerosol free amino acids

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DOI	10.1016/j.atmosenv.2021.118799
	Combined positive matrix factorization (PMF) and nitrogen isotope signature analysis to provide insights into the source contribution to aerosol free amino acids
	Wen Z.; Li B.; Xiao H.-Y.; Zhe L.; Zhu R.-G.
发表日期	2022
ISSN	1352-2310
卷号	268
英文摘要	Free amino acids (FAAs) are particularly interesting because they play an important role in the atmosphere, but their origins are not well understood. This study measured the concentrations of FAAs and water-soluble ions as well as δ15N values of Glycine (Gly) in total suspended particle (TSP) samples collected at Nanchang in 2017. The correlation of total FAAs concentrations with meteorological conditions and atmospheric oxidants showed that secondary formation processes could be an important contribution sources for FAAs in the atmosphere. Moreover, the concentrations of FAAs in aerosols may be affected by the wind directions and the regions where air mass passed. The correlations of FAAs with water-soluble ions and PMF analysis indicated that the concentration of FAAs in Nanchang aerosols was influenced by agricultural activities and dust sources, mixture of natural origins and biomass burning and mixture of secondary formation process and biomass burning. Interestingly, we also found that coal combustion and vehicle emission are not the sources for atmospheric FAAs. Based on δ15N values of free Gly, a Bayesian model was performed to obtain the individual fractional contributions of free Gly from major sources (natural and biomass burning sources) to aerosol Gly. Subsequently, applying fractional contributions of free Gly from biomass burning obtained by Bayesian model to the analysis result of PMF, the overestimated of the contribution of secondary formation processes and natural sources to atmospheric FAAs concentration caused by biomass burning source could be excluded. Our findings suggest that combining δ15N values of free Gly and PMF analysis could provide further information on the sources of atmospheric FAAs. © 2021 Elsevier Ltd
关键词	Aerosol FAAs Free Gly PMF δ15N
语种	英语
scopus关键词	Aerosols; Bayesian networks; Biomass; Coal combustion; Factorization; Mixtures; Nitrogen; Acid concentrations; Bayesian modelling; Biomass-burning; Formation process; Free amino acids; Free glycine; N value; Positive Matrix Factorization; Water-soluble ions; Δ15N; Amino acids; amino acid; ammonia; calcium ion; chloride ion; fluoride ion; formic acid; glycine; magnesium ion; nitrate; nitrogen 15; nitrogen dioxide; oxalic acid; oxidizing agent; ozone; potassium ion; sodium ion; sulfate; aerosol; air mass; amino acid; biomass burning; coal combustion; concentration (composition); correlation; detection method; nitrogen isotope; pollutant source; traffic emission; aerosol; agricultural procedures; air monitoring; amino acid analysis; Article; atmospheric deposition; atmospheric transport; biomass production; concentration (parameter); controlled study; dust; environmental temperature; fractionation; geographic mapping; ion transport; isotope tracing; mathematical model; molecular weight; natural resource; nitrogen concentration; non-negative matrix factorization; oxidation; particulate matter 10; particulate matter 2.5; plant metabolism; precipitation; relative humidity; rural area; signal noise ratio; soil chemistry; suburban area; temporal analysis; water solubility; wind; wind power; wind speed; China; Jiangxi; Nanchang
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248150
作者单位	Department of Earth Sciences, Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, 650093, China; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China; Jiangxi Province Key Laboratory of the Causes and Control of Atmospheric Pollution, East China University of Technology, Nanchang, 330013, China
推荐引用方式 GB/T 7714	Wen Z.,Li B.,Xiao H.-Y.,et al. Combined positive matrix factorization (PMF) and nitrogen isotope signature analysis to provide insights into the source contribution to aerosol free amino acids[J],2022,268.
APA	Wen Z.,Li B.,Xiao H.-Y.,Zhe L.,&Zhu R.-G..(2022).Combined positive matrix factorization (PMF) and nitrogen isotope signature analysis to provide insights into the source contribution to aerosol free amino acids.ATMOSPHERIC ENVIRONMENT,268.
MLA	Wen Z.,et al."Combined positive matrix factorization (PMF) and nitrogen isotope signature analysis to provide insights into the source contribution to aerosol free amino acids".ATMOSPHERIC ENVIRONMENT 268(2022).