Source identification and characterization of organic nitrogen in atmospheric aerosols at a suburban site in China

Source identification and characterization of organic nitrogen in atmospheric aerosols at a suburban site in China
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中国郊区大气气溶胶中有机氮的来源识别和表征

DOI:
10.1016/j.scitotenv.2021.151800
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发表时间:
2022
影响因子:
9.8
通讯作者:
Slowik Jay G.
Slowik Jay G.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Qi Lu;Bozzetti Carlo;Corbin Joel C.;Daellenbach Kaspar R.;El Haddad Imad;Zhang Qi;Wang Junfeng;Baltensperger Urs;Prévôt André S. H.;Chen Mindong;Ge Xinlei;Slowik Jay G.

文献摘要

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Despite the fact that atmospheric particulate organic nitrogen (ON) can significantly affect human health, ecosystems and the earth's climate system, qualitative and quantitative chemical characterization of ON remains limited due to its chemical complexity. In this study, the Aerodyne soot particle - high-resolution time-of-flight aerosol mass spectrometer (SP-AMS) was deployed for ambient measurements in Nanjing, China. Positive matrix factorization (PMF) was applied to the ON data to quantify the sources of ON in submicron aerosols. The averaged ON concentration was 1.24 μg m−3, while the averaged total nitrogen (TN) in the aerosol was 20.26 μg m−3. From the PMF ON analysis, a 5-factor solution was selected as the most representative and interpretable solution for the investigated dataset, including oxygenated OA (OOAON), amine-related OAON(AMOAON), hydrocarbon-like OA (HOAON), industry OA (IOAON), and local primary OA (POAON) factors. The quantified ON ions were separated into families, including CxHN, CxHyNO, C3H<6N, CxH2x+2N, CxH2xN and Others, consistent with their contribution to each factor. The CxHyNO family mainly contributed to the OOAONfactor and suggested the presence of amides or amino acids. The CxH2x+2N family likely mostly originated from amines only contributing to the AMOAONand HOAONfactors. The IOAONand POAONfactors were resolved due to significant tracers in the mass spectra. Further, compared with regular organic PMF analysis, PMF ON analysis gave more insights due to improved source separation and interpretability of the OA components, which could be a role model for further atmospheric ON research.