气候变化领域集成服务门户(CCPortal): Impact of meteorology and emission on atmospheric PM2.5 – Using observed concentrations to reduce simulation uncertainty

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DOI	10.1016/j.atmosenv.2021.118610
	Impact of meteorology and emission on atmospheric PM2.5 – Using observed concentrations to reduce simulation uncertainty
	Chen T.-F.; Chang K.-H.; Liu W.-Y.; Chen Y.-C.
发表日期	2021
ISSN	1352-2310
卷号	261
英文摘要	Whether the improvement or deterioration of PM2.5 concentration is caused by a reduction/increase of emissions or a change in the weather has always been a curious yet difficult question to clarify because there are many uncertainties in the simulation system. In previous research, the observed concentration was introduced to reduce the uncertainty of the simulation system; however, no literature existed on how to correctly and reasonably split the observed concentration difference into its contribution from emission changes and its impact from meteorological changes. This study not only derived the splitting process in detail, but further derived the formula for splitting the contribution from emission changes into its contribution from local emission changes and its contribution from overseas emission changes. This was done to assess the importance of changes in Taiwan's own emissions and changes in overseas emissions with regard to the improvement/deterioration of the observed concentration. Based on the derived formula, this study simulated 7 cases and combined the observation data to quantify the emission and meteorological impact on PM2.5 concentrations in Taiwan. Compared to 2013, the results in 2016 show a 5.28 μg/m3 improvement in the observed concentration of PM2.5 in Taiwan, and this was mainly due to the concentration improvement (5.92 μg/m3) brought about by the difference in emissions between those two years; the meteorological difference between those two years may have led to a slight increase in concentration (0.64 μg/m3). Regarding the concentration improvement brought about by the difference in emissions between those two years, 94% resulted from Taiwan's own emission changes, and the remaining 6% resulted from overseas emission changes. These results confirm that the improvement of Taiwan's PM2.5 concentration between those two years should mainly be attributed to Taiwan's own emission reduction. Therefore, the proportion of Taiwan's PM2.5 concentration affected by long-range transport was higher in 2016 (43%) than it was in 2013 (38%). © 2021
关键词	Air quality modeling Emissions impact Fine particulate matter Meteorological impact Observation
语种	英语
scopus关键词	Deterioration; Emission control; Particulate emissions; Air quality modelling; Emission change; Emissions' impacts; Fine particulate matter; Meteorological impact; Observation; PM$-2.5$; Simulation systems; Simulation uncertainty; Uncertainty; Air quality; carbon emission; emission control; meteorology; particulate matter; simulation; air quality; article; clinical article; deterioration; human; meteorology; particulate matter 2.5; simulation; Taiwan; uncertainty; Taiwan
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/248310
作者单位	Department of Safety, Health and Environmental Engineering, National Yunlin University of Science and Technology, Touliu, Yunlin, Taiwan; Green Energy and Environment Research Laboratories, Industrial Technology Research Institute, Chutung, Hsinchu, Taiwan
推荐引用方式 GB/T 7714	Chen T.-F.,Chang K.-H.,Liu W.-Y.,等. Impact of meteorology and emission on atmospheric PM2.5 – Using observed concentrations to reduce simulation uncertainty[J],2021,261.
APA	Chen T.-F.,Chang K.-H.,Liu W.-Y.,&Chen Y.-C..(2021).Impact of meteorology and emission on atmospheric PM2.5 – Using observed concentrations to reduce simulation uncertainty.ATMOSPHERIC ENVIRONMENT,261.
MLA	Chen T.-F.,et al."Impact of meteorology and emission on atmospheric PM2.5 – Using observed concentrations to reduce simulation uncertainty".ATMOSPHERIC ENVIRONMENT 261(2021).