气候变化领域集成服务门户(CCPortal): Diagnostic analysis of wintertime PM2.5 pollution in the North China Plain: The impacts of regional transport and atmospheric boundary layer variation

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DOI	10.1016/j.atmosenv.2020.117346
	Diagnostic analysis of wintertime PM2.5 pollution in the North China Plain: The impacts of regional transport and atmospheric boundary layer variation
	Jin X.; Cai X.; Yu M.; Song Y.; Wang X.; Kang L.; Zhang H.
发表日期	2020
ISSN	1352-2310
卷号	224
英文摘要	Air pollution has recently become a regional problem in the North China Plain, which is heavily populated with industrialized city clusters. The local air quality is frequently affected by air pollutant transport in this region, as well as other meteorological conditions. This study aims to reveal the roles of air pollutant transport and atmospheric boundary layer variation in the development of air pollution episodes. Two cities (Dezhou and Cangzhou in Shandong and Hebei Provinces, respectively) near the centre of the North China Plain are chosen, and PM2.5 (particulate matter with an aerodynamic diameter less than 2.5 μm) concentrations over two winters (January 2016 and December 2017 to January 2018) are evaluated. Both meteorological and air quality observational data are used to construct hourly wind and PM2.5 concentration fields. High-quality atmospheric boundary layer soundings provide detailed information on boundary layer height and its diurnal evolution. A simple box model is employed to simulate variation in PM2.5 levels in these two cities by using the spatial gradients and temporal variation rates in the diagnostic fields of wind and PM2.5 concentrations. Two prominent factors affecting PM2.5 concentration variation are identified by comparing the simulated and observed diurnal variation in PM2.5 concentration. The first one is the entrainment of upper-layer air pollutants into the boundary layer in the morning. And the second one is the temporary accumulation of PM2.5 during the day-to-evening period. After incorporating these two effects, the simulated PM2.5 is comparable with the observed data. The correlation coefficients between the simulation and observation are 0.84 and 0.77 (P < 0.01) for Cangzhou and Dezhou, respectively, and the normalized mean biases are −0.04 and −0.09, respectively. The relative contributions of different processes affecting PM2.5 concentrations during air pollution episodes are assessed with the model simulations. The percentage contributions for local emissions, deposition, horizontal advection, temporary accumulation, and boundary layer height variation are from 27% to 45%, −28% to −20%, 46% to 76%, 13% to 40%, and −6% to 22%, respectively. Local emission and regional air pollutant transport are the main causes of these episodes. Temporary accumulation of PM2.5 during the day-to-evening period is also an important contributor to the episodes. In addition, the entrainment shows varying contributions to PM2.5 increase with a maximum rate of 30% during the PM2.5 pollution episodes in the North China Plain. © 2020
关键词	Atmospheric boundary layer PM2.5 pollution Regional transport
语种	英语
scopus关键词	Air entrainment; Air quality; Atmospheric movements; Boundary layer flow; Aerodynamic diameters; Air pollutant transport; Air pollution episodes; Boundary layer heights; Correlation coefficient; Meteorological condition; Pm2.5 pollutions; Regional transport; Atmospheric boundary layer; air quality; atmospheric pollution; boundary layer; detection method; diurnal variation; emission; particulate matter; pollutant transport; simulation; temporal variation; winter; advection; air pollutant; air quality; article; boundary layer; China; circadian rhythm; city; clinical article; correlation coefficient; particulate matter; simulation; 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/249278
作者单位	College of Environmental Sciences and Engineering, State Key Lab of Environmental Simulation and Pollution Control, Peking University, Beijing, 100871, China; Department of Atmospheric and Oceanic Sciences, School of Physics, Peking University, Beijing, 100871, China
推荐引用方式 GB/T 7714	Jin X.,Cai X.,Yu M.,et al. Diagnostic analysis of wintertime PM2.5 pollution in the North China Plain: The impacts of regional transport and atmospheric boundary layer variation[J],2020,224.
APA	Jin X..,Cai X..,Yu M..,Song Y..,Wang X..,...&Zhang H..(2020).Diagnostic analysis of wintertime PM2.5 pollution in the North China Plain: The impacts of regional transport and atmospheric boundary layer variation.ATMOSPHERIC ENVIRONMENT,224.
MLA	Jin X.,et al."Diagnostic analysis of wintertime PM2.5 pollution in the North China Plain: The impacts of regional transport and atmospheric boundary layer variation".ATMOSPHERIC ENVIRONMENT 224(2020).