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DOI10.5194/acp-23-323-2023
Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions
An, Jingyu; Huang, Cheng; Huang, Dandan; Qin, Momei; Liu, Huan; Yan, Rusha; Qiao, Liping; Zhou, Min; Li, Yingjie; Zhu, Shuhui; Wang, Qian; Wang, Hongli
发表日期2023
ISSN1680-7316
EISSN1680-7324
起始页码323
结束页码344
卷号23期号:1页码:22
英文摘要Current chemical transport models fail to reproduce both the concentrations and temporal variations of organic aerosol (OA), especially the secondary organic aerosol (SOA), hindering the identification of major contribution sources. The fact that precursors of intermediate-volatility and semivolatile organic compounds (I/SVOCs) are not included in models has a significant impact on the performance of SOA simulation. Herein, we establish a high-resolution emission inventory of I/SVOCs and by incorporating it into the CMAQ model, concentrations, temporal variations, and spatial distributions of POA and SOA originating from different sources in the Yangtze River Delta (YRD) region of China were simulated. By incorporating I/SVOC emissions into the model, the modeled average SOA concentrations in the region increased by 148 %. Significant model improvements in the simulations of different OA components were demonstrated by comparison with comprehensive observation data. Furthermore, spatial and seasonal variations of different source contributions to OA production have been identified. We found that cooking emissions are predominant sources of POA in the densely populated urban area of the region. I/SVOC emissions from industrial sources are dominant contributors to the SOA formation, followed by those from mobile sources. Our results indicate that future control measures should be specifically tailored on an intraregional scale based on the different source characteristics to achieve the national goal of continuous improvement in air quality. In addition, local source profiles and emission factors of I/SVOCs, as well as SOA formation mechanisms in the model framework must urgently be updated to further improve the model performance and thus the accuracy of source identifications.
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:000911326000001
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/273281
作者单位Nanjing University of Information Science & Technology; Tsinghua University; Fudan University
推荐引用方式
GB/T 7714
An, Jingyu,Huang, Cheng,Huang, Dandan,et al. Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions[J],2023,23(1):22.
APA An, Jingyu.,Huang, Cheng.,Huang, Dandan.,Qin, Momei.,Liu, Huan.,...&Wang, Hongli.(2023).Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions.ATMOSPHERIC CHEMISTRY AND PHYSICS,23(1),22.
MLA An, Jingyu,et al."Sources of organic aerosols in eastern China: a modeling study with high-resolution intermediate-volatility and semivolatile organic compound emissions".ATMOSPHERIC CHEMISTRY AND PHYSICS 23.1(2023):22.
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