气候变化领域集成服务门户(CCPortal): Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China

CCPortal

DOI	10.1016/j.atmosenv.2020.117745
	Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China
	Liu M.; Saari R.K.; Zhou G.; Liu X.; Li J.
发表日期	2020
ISSN	13522310
卷号	238
英文摘要	Air pollution in China has reached unprecedented levels due to rapid economic and industrial development. More than 90% of Chinese population experience higher health risks attributable to ambient fine particulate matter (PM2.5) exposure. Although evidence suggests that particle size may be an effect modifier on PM2.5-related health risks, few studies have explored this due to lack of size-resolved exposure data. In this study, we derive size-resolved particle effective radius of PM2.5 using theoretical relationships between aerosol microphysical characteristics and satellite optical measurements to explore the spatial variability and population exposure to ambient particle size. Applying this method to China in 2017, we observed annual mean effective radii between 0.3 and 1.3 μm with a mean average error of 0.1 μm. We find that 1% or less of the Chinese population was exposed to annual PM2.5 concentrations less than 10 μg/m3 and a mean particle effective radius greater than 0.7 μm (i.e. aerodynamic diameter of PM1). Spatially, the Centre economic region had the highest annual-mean PM2.5 exposures, where 90% of the population was exposed to concentrations higher than 50 μg/m3 and 98% was exposed to particles with mean radius below 0.5 μm. Temporally, although the highest PM2.5 concentrations were more likely to occur in winter, summertime was the season during which the highest percentage of the national population (86%) lived in the regions in which the fine fraction had the smallest mean particle radii (<0.5 μm). This study demonstrates the potential of remote sensing techniques to enable large-scale PM2.5 estimation, including concentrations and sizes. The revealed prevalence of exposure to PM1, and lack of particle size validation data, motivate further research to better understand size-resolved exposures and impacts of PM2.5 at population scales. © 2020 Elsevier Ltd
英文关键词	Air pollution; China; Exposure; Particle size; Particulate matter; Satellite retrieval
语种	英语
scopus关键词	Health risks; Optical data processing; Particle size; Population statistics; Remote sensing; Aerodynamic diameters; Air pollution in chinas; Fine particulate matter (PM2.5); Industrial development; PM2.5 concentration; Remote sensing techniques; Size-resolved particles; Sub-micron particulates; Particles (particulate matter); aerosol formation; air quality; ambient air; atmospheric pollution; concentration (composition); particle size; particulate matter; pollution exposure; remote sensing; satellite altimetry; seasonality; aerosol; air pollution; article; China; information retrieval; particle size; particulate matter; population exposure; prevalence; remote sensing; theoretical study; winter; China
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/145031
作者单位	Department of Geography and Environmental Management, University of Waterloo, Waterloo, ON N2L 3G1, Canada; Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, ON N2L 3G1, Canada; School of Information Engineering, China University of Geosciences, Beijing, 100083, China; Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, FJ 361005, China
推荐引用方式 GB/T 7714	Liu M.,Saari R.K.,Zhou G.,et al. Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China[J],2020,238.
APA	Liu M.,Saari R.K.,Zhou G.,Liu X.,&Li J..(2020).Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China.Atmospheric Environment,238.
MLA	Liu M.,et al."Size-differentiated patterns of exposure to submicron particulate matter across regions and seasons in China".Atmospheric Environment 238(2020).