Nitrogen-Containing Functional Groups Dominate the Molecular Absorption of Water-Soluble Humic-Like Substances in Air From Nanjing, China Revealed by the Machine Learning Combined FT-ICR-MS Technique
文献类型：期刊论文
| 作者 | Hong, Yihang2,3; Zhang, Yan-Lin2,4; Bao, Mengying5; Fan, Mei-Yi1,2,4; Lin, Yu-Chi2,4; Xu, Rongshuang2,4; Shu, Zhiyang6; Wu, Ji-Yan2,4; Cao, Fang2,4; Jiang, Hongxing7,8 |
| 刊名 | JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
 |
| 出版日期 | 2023-12-27 |
| 卷号 | 128期号:24页码:12 |
| 关键词 | machine learning few-shot learning humic-like substances light absorption coefficient FT-ICR-MS functional groups |
| ISSN号 | 2169-897X |
| DOI | 10.1029/2023JD039459 |
| 英文摘要 | The light absorption capacity of water-soluble humic-like substances (HULISWS) at the molecular level is crucial for reducing the uncertainties in modeling the radiative forcing. This study proposed a machine learning approach to allocate the light absorption coefficient at 365 nm (Abs(365)) of HULISWS into 8084 Fourier transform-ion cyclotron resonance mass spectrometry (FT-ICR-MS) detached molecular markers and their potential functional groups. The ML model showed an acceptable uncertainty (<5%) to the whole Abs(365) value based on the prediction errors. The results showed that five critical light-absorbing molecules (C4H6O4NS, C8H6O4NS, C11H15O3N2, C12H15O3N2, and C19H21O6) could explain 74% (+/- 3%) of the variation of Abs(365) in the winter, whereas no crucial light-absorbing molecules were found in the summer. Besides, the nitrogen-containing functional groups were found to dominate (61% +/- 8%) the molecular absorption near the 365 nm of the spectrum. This work illustrated how functional groups affect the absorption of HULISWS, providing critical information for future research of HULISWS on the molecular level. |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001124721800001 |
| 源URL | [http://ir.gig.ac.cn/handle/344008/75439]  |
| 专题 | 有机地球化学国家重点实验室 |
| 通讯作者 | Zhang, Yan-Lin |
| 作者单位 | 1.Hong Kong Polytech Univ, Dept Civil & Environm Engn, Air Qual Studies, Hong Kong, Peoples R China 2.Nanjing Univ Informat Sci & Technol, Minist Educ ILCEC, Atmospher Environm Ctr, Joint Lab Int Cooperat Climate & Environm Change, Nanjing, Peoples R China 3.Univ Reading, Sch Polit Econ & Int Relat, Reading, England 4.Nanjing Univ Informat Sci & Technol, Sch Ecol & Appl Meteorol, Nanjing, Peoples R China 5.Huzhou Meteorol Adm, Huzhou, Peoples R China 6.Boston Coll, Morrissey Coll Arts & Sci, Boston, MA USA 7.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangdong Prov Key Lab Environm Protect & Resource, Guangzhou, Peoples R China 8.CAS Ctr Excellence Deep Earth Sci, Guangzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hong, Yihang,Zhang, Yan-Lin,Bao, Mengying,et al. Nitrogen-Containing Functional Groups Dominate the Molecular Absorption of Water-Soluble Humic-Like Substances in Air From Nanjing, China Revealed by the Machine Learning Combined FT-ICR-MS Technique[J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,2023,128(24):12. |
| APA | Hong, Yihang.,Zhang, Yan-Lin.,Bao, Mengying.,Fan, Mei-Yi.,Lin, Yu-Chi.,...&Zhang, Gan.(2023).Nitrogen-Containing Functional Groups Dominate the Molecular Absorption of Water-Soluble Humic-Like Substances in Air From Nanjing, China Revealed by the Machine Learning Combined FT-ICR-MS Technique.JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES,128(24),12. |
| MLA | Hong, Yihang,et al."Nitrogen-Containing Functional Groups Dominate the Molecular Absorption of Water-Soluble Humic-Like Substances in Air From Nanjing, China Revealed by the Machine Learning Combined FT-ICR-MS Technique".JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES 128.24(2023):12. |
入库方式： OAI收割
来源：广州地球化学研究所
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