气候变化领域集成服务门户(CCPortal): Estimation of background PM2.5 concentrations for an air-polluted environment

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DOI	10.1016/j.atmosres.2019.104636
	Estimation of background PM2.5 concentrations for an air-polluted environment
	Wang S.-H.; Hung R.-Y.; Lin N.-H.; Gómez-Losada Á.; Pires J.C.M.; Shimada K.; Hatakeyama S.; Takami A.
发表日期	2020
ISSN	0169-8095
卷号	231
英文摘要	The background PM2.5 concentration represents the combined emissions from natural domestic and foreign sources, which has implications for the maximum effect, in terms of air-quality control, that can be achieved by reducing emissions. However, estimating the background PM2.5 concentration via background monitoring sites for a densely populated region (e.g., Taiwan) has been a challenge. In this study, we compared two statistical methods of estimating the background concentration using an 11-year time series (2005–2016) of data from three air-quality stations in Taiwan. The results of two methods showed good agreement for the background PM2.5 concentration estimation, which was about 4.4 μg m−3 and comparable to literature reports. According to the trend analysis, the concentration has decreased at a rate of 1–2 μg m−3 decade−1 as a result of better emissions control in East Asia in recent years. Furthermore, the local concentration can exceed the regional background value by up to 5 times due to local emissions, topographic effects, and weather regimes. When considering the cross-county transport of PM2.5, a difference as high as 5 μg m−3 exists between two prevailing-wind scenarios. This study provides crucial information to policy-makers on setting an achievable and reasonable goal for PM2.5 reduction. © 2019
英文关键词	Air-quality monitoring networks; Background level; Hidden Markov Model; PM2.5 concentration
学科领域	Air quality; Hidden Markov models; Air quality monitoring networks; Background concentration; Background level; Background monitoring sites; Combined emissions; Densely populated regions; PM2.5 concentration; Topographic effects; Quality control; air quality; atmospheric pollution; concentration (composition); emission control; emission inventory; estimation method; Markov chain; particulate matter; policy making; pollution monitoring; quantitative analysis; size distribution; trend analysis; Taiwan
语种	英语
scopus关键词	Air quality; Hidden Markov models; Air quality monitoring networks; Background concentration; Background level; Background monitoring sites; Combined emissions; Densely populated regions; PM2.5 concentration; Topographic effects; Quality control; air quality; atmospheric pollution; concentration (composition); emission control; emission inventory; estimation method; Markov chain; particulate matter; policy making; pollution monitoring; quantitative analysis; size distribution; trend analysis; Taiwan
来源期刊	Atmospheric Research
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/120625
作者单位	Department of Atmospheric Sciences, National Central University, Taoyuan, Taiwan; European Commission, Joint Research Centre (JRC), Edificio Expo, C/Inca Garcilaso 3, Seville, 41092, Spain; LEPABE, DEQ, Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias s/n, Porto, 4200-465, Portugal; Global Innovation Research Organization, Tokyo University of Agriculture and Technology, Fuchu, Tokyo 183-8538, Japan; Institute of Agriculture, Graduate School of Tokyo University of Agriculture and Technology, Tokyo, 183-8538, Japan; National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan
推荐引用方式 GB/T 7714	Wang S.-H.,Hung R.-Y.,Lin N.-H.,et al. Estimation of background PM2.5 concentrations for an air-polluted environment[J],2020,231.
APA	Wang S.-H..,Hung R.-Y..,Lin N.-H..,Gómez-Losada Á..,Pires J.C.M..,...&Takami A..(2020).Estimation of background PM2.5 concentrations for an air-polluted environment.Atmospheric Research,231.
MLA	Wang S.-H.,et al."Estimation of background PM2.5 concentrations for an air-polluted environment".Atmospheric Research 231(2020).