波动性(金融)
气溶胶
环境科学
气象学
计量经济学
经济
物理
作者
Xing Chang,Bin Zhao,Haotian Zheng,Yafei Wang,Siyi Cai,Fengqiao Guo,Ping Gui,Guanghan Huang,Di Wu,Licong Han,Jia Xing,Hanyang Man,Ruolan Hu,Chengrui Liang,Hezhong Tian,Xionghui Qiu,Dian Ding,Kaiyun Liu,Rui Han,Allen L. Robinson,Neil M. Donahue
出处
期刊:One earth
[Elsevier]
日期:2022-04-01
卷期号:5 (4): 403-412
被引量:34
标识
DOI:10.1016/j.oneear.2022.03.015
摘要
•A full-volatility organic emission inventory is established for China •The model performance on organic aerosol is greatly improved •IVOC emissions contribute more SOA than VOC emissions do •VCP, domestic combustion, and biomass open burning are largest SOA sources Organic aerosol (OA) is the largest and most complicated component of aerosols that greatly affect human health and global climate. However, widely used models cannot reproduce primary and secondary OA concentrations, and thus the source contributions of OA remain elusive. This is largely caused by the oversimplification of traditional organic emission inventories. Here, we develop an emission framework that achieves a full volatility coverage in both the gas and particle phases with a high chemical and volatility resolution. The new inventory fills a gap of 3,382 kt/y semi- and intermediate-volatility organic emissions and 59% ambient secondary OA (SOA) concentrations in China 2017, resulting in a significantly improved model-measurement agreement. Volatile chemical products, domestic combustion, and biomass open burning, with their SOA contributions increased by a factor of two to nine, turn out to be three leading sources of SOA. Future control policies must focus more on these previously underestimated sources. Organic aerosol (OA) is the largest and most complicated component of aerosols that greatly affect human health and global climate. However, widely used models cannot reproduce primary and secondary OA concentrations, and thus the source contributions of OA remain elusive. This is largely caused by the oversimplification of traditional organic emission inventories. Here, we develop an emission framework that achieves a full volatility coverage in both the gas and particle phases with a high chemical and volatility resolution. The new inventory fills a gap of 3,382 kt/y semi- and intermediate-volatility organic emissions and 59% ambient secondary OA (SOA) concentrations in China 2017, resulting in a significantly improved model-measurement agreement. Volatile chemical products, domestic combustion, and biomass open burning, with their SOA contributions increased by a factor of two to nine, turn out to be three leading sources of SOA. Future control policies must focus more on these previously underestimated sources.
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