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DOI | 10.1016/j.atmosenv.2021.118440 |
Numerical simulation of interannual variation in transboundary contributions from Chinese emissions to PM2.5 mass burden in South Korea | |
Han X.; Cai J.; Zhang M.; Wang X. | |
发表日期 | 2021 |
ISSN | 1352-2310 |
卷号 | 256 |
英文摘要 | In recent years, extensive air pollution control measures have been adopted in China. Several studies have shown that the air quality has improved significantly in central and eastern parts of China since 2013. The transport contributions from emission sources in China to the PM2.5 mass burden in South Korea is therefore likely to change under the background of an emission flux decline. In this study, anthropogenic and natural emission data for East Asia were collected and emission inventories were constructed for 2010, 2015, and 2017. A numerical source apportionment was conducted using the Integrated Source Apportionment Method (ISAM) coupled with the Regional Atmospheric Modeling System - Community Multiscale Air Quality (RAMS-CMAQ) regional air quality model to simulate the pollutant transport features of emission sources in China. The contribution to the PM2.5 mass burden in South Korea was obtained quantitatively and its interannual variability was assessed. The results showed that the PM2.5 concentration decreased annually, especially in the seriously polluted regions, including North China, Central China, Yangtze River Delta, middle reaches of the Yangtze River, Sichuan Basin, and Pearl River Delta. The proportional contribution was higher in winter and lower in summer, which was largely due to the seasonal variation in the prevailing wind direction. In addition, the annual average contribution to the PM2.5 mass burden in South Korea dropped significantly from 28.0% in 2010 to 15.7% in 2017, which further proved that the management of atmospheric particulate pollution in China has been effective. © 2021 The Authors |
关键词 | ISAMPM2.5RAMS-CMAQTransboundary contribution |
语种 | 英语 |
scopus关键词 | Air pollution control; Atmospheric movements; Numerical methods; River pollution; Rivers; Emission sources; Integrated source apportionment method; Interannual variation; PM$-2.5$; PM2.5 mass; Regional atmospheric modeling system - community multiscale air quality; Source apportionment; South Korea; Trans-boundary; Transboundary contribution; Air quality; air quality; annual variation; atmospheric pollution; emission; emission inventory; numerical method; particulate matter; pollutant source; pollution control; simulation; source apportionment; transboundary pollution; air quality; article; China; computer simulation; particulate matter 2.5; pollution transport; quantitative analysis; river; seasonal variation; South Korea; summer; winter; China; Guangdong; Korea; Sichuan Basin; South Korea; Yangtze River; Zhujiang Delta |
来源期刊 | ATMOSPHERIC ENVIRONMENT |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/248398 |
作者单位 | State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China; Zhejiang Climate Center, Hangzhou, 310017, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China; State Environmental Protection Key Laboratory of Quality Control in Environmental Monitoring, China National Environmental Monitoring Centre, Beijing, 100012, China |
推荐引用方式 GB/T 7714 | Han X.,Cai J.,Zhang M.,et al. Numerical simulation of interannual variation in transboundary contributions from Chinese emissions to PM2.5 mass burden in South Korea[J],2021,256. |
APA | Han X.,Cai J.,Zhang M.,&Wang X..(2021).Numerical simulation of interannual variation in transboundary contributions from Chinese emissions to PM2.5 mass burden in South Korea.ATMOSPHERIC ENVIRONMENT,256. |
MLA | Han X.,et al."Numerical simulation of interannual variation in transboundary contributions from Chinese emissions to PM2.5 mass burden in South Korea".ATMOSPHERIC ENVIRONMENT 256(2021). |
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