气候变化领域集成服务门户(CCPortal): Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain

CCPortal

DOI	10.5194/acp-21-7023-2021
	Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain
	Xiang Y.; Zhang T.; Ma C.; Lv L.; Liu J.; Liu W.; Cheng Y.
发表日期	2021
ISSN	1680-7316
起始页码	7023
结束页码	7037
卷号	21 期号:9
英文摘要	China has made great efforts to monitor and control air pollution in the past decade. Comprehensive characterization and understanding of pollutants in three dimensions are, however, still lacking. Here, we used data from an observation network consisting of 13 aerosol li dars and more than 1000 ground observation stations combined with a data assimilation technique to conduct a comprehensive analysis of extreme heavy aerosol pol lution (HAP) over the North China Plain (NCP) from November December 2017. During the studied period, the maximum hourly mass concentration of surface PM2.5 reached ∼ 390 μg m-3. After assimilation, the correlation be tween model results and the independent observation sub dataset was ∼ 50 % higher than that without the assimila tion, and the root mean square error was reduced by ∼ 40 %. From pollution development to dissipation, we divided the HAP in the NCP (especially in Beijing) into four phases: An early phase (EP), a transport phase (TP), an accumulation phase (AP), and a removal phase (RP). We then analyzed the evolutionary characteristics of PM2.5 concentration during different phases on the surface and in 3-D space. We found that the particles were mainly transported from south to north at a height of 1 2 km (during EP and RP) and near the sur face (during TP and AP). The amounts of PM2.5 advected into Beijing with the maximum transport flux intensity (TFI) were through the pathways in the relative order of the south west > southeast > east pathways. The dissipation of PM2.5 in the RP stage (with negative TFI) was mainly from north to south with an average transport height of ∼ 1 km above the surface. Our results quantified the multi-dimensional distri bution and evolution of PM2.5 concentration over the NCP, which may help policymakers develop efficient air pollution control strategies. © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License.
语种	英语
scopus关键词	aerosol; atmospheric pollution; concentration (composition); data assimilation; data set; lidar; particulate matter; pollution control; three-dimensional modeling; Beijing [Beijing (ADS)]; Beijing [China]; China; Varanidae
来源期刊	ATMOSPHERIC CHEMISTRY AND PHYSICS
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/246910
作者单位	Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230601, China; Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei, 230031, China; Minerva Research Group, Max Planck Institute for Chemistry, Mainz, Germany
推荐引用方式 GB/T 7714	Xiang Y.,Zhang T.,Ma C.,et al. Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain[J],2021,21(9).
APA	Xiang Y..,Zhang T..,Ma C..,Lv L..,Liu J..,...&Cheng Y..(2021).Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain.ATMOSPHERIC CHEMISTRY AND PHYSICS,21(9).
MLA	Xiang Y.,et al."Lidar vertical observation network and data assimilation reveal key processes driving the 3-D dynamic evolution of PM2.5 concentrations over the North China Plain".ATMOSPHERIC CHEMISTRY AND PHYSICS 21.9(2021).