Climate Change Data Portal
DOI | 10.5194/acp-22-14893-2022 |
Winter brown carbon over six of China's megacities: light absorption, molecularcharacterization, and improved source apportionment revealed by multilayerperceptron neural network | |
Wang, Diwei; Shen, Zhenxing; Zhang, Qian; Lei, Yali; Zhang, Tian; Huang, Shasha; Sun, Jian; Xu, Hongmei; Cao, Junji | |
发表日期 | 2022 |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
起始页码 | 14893 |
结束页码 | 14904 |
卷号 | 22期号:22页码:12 |
英文摘要 | Brown carbon (BrC) constitutes a large fraction of organic carbon and exhibits strong light absorption properties, thus affecting the global radiation budget. In this study, we investigated the light absorption properties, chemical functional bonds, and sources of BrC in six megacities in China, namely Beijing, Harbin, Xi'an, Chengdu, Guangzhou, and Wuhan. The average values of the BrC light absorption coefficient and the mass absorption efficiency at 365 nm in northern cities were higher than those in southern cities by 2.5 and 1.8 times, respectively, demonstrating the abundance of BrC present in northern China's megacities. Fourier transform infrared (FT-IR) spectra revealed sharp and intense peaks at 1640, 1458-1385, and 1090-1030 cm-1, which were ascribed to aromatic phenols, confirming the contribution of primary emission sources (e.g., biomass burning and coal combustion) to BrC. In addition, we noted peaks at 860, 1280-1260, and 1640 cm(-1), which were attributed to organonitrate and oxygenated phenolic groups, indicating that secondary BrC also existed in the six megacities. Positive matrix factorization (PMF) coupled with multilayer perceptron (MLP) neural network analysis was used to apportion the sources of BrC light absorption. The results showed that primary emissions (e.g., biomass burning, tailpipe emissions, and coal combustion) made a major contribution to BrC in the six megacities. However, secondary formation processes made a greater contribution to light absorption in the southern cities (17.9 %-21.2 %) than in the northern cities (2.1 %-10.2 %). These results can provide a basis for the more effective control of BrC to reduce its impacts on regional climates and human health. |
学科领域 | Environmental Sciences; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000888026800001 |
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/273386 |
作者单位 | Xi'an Jiaotong University; Xi'an University of Architecture & Technology; East China Normal University; Chinese Academy of Sciences; Institute of Earth Environment, CAS |
推荐引用方式 GB/T 7714 | Wang, Diwei,Shen, Zhenxing,Zhang, Qian,et al. Winter brown carbon over six of China's megacities: light absorption, molecularcharacterization, and improved source apportionment revealed by multilayerperceptron neural network[J],2022,22(22):12. |
APA | Wang, Diwei.,Shen, Zhenxing.,Zhang, Qian.,Lei, Yali.,Zhang, Tian.,...&Cao, Junji.(2022).Winter brown carbon over six of China's megacities: light absorption, molecularcharacterization, and improved source apportionment revealed by multilayerperceptron neural network.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(22),12. |
MLA | Wang, Diwei,et al."Winter brown carbon over six of China's megacities: light absorption, molecularcharacterization, and improved source apportionment revealed by multilayerperceptron neural network".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.22(2022):12. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。