气候变化领域集成服务门户(CCPortal): Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO2 variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations

CCPortal

DOI	10.1016/j.atmosenv.2020.117972
	Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO2 variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations
	Wang Z.; Uno I.; Yumimoto K.; Itahashi S.; Chen X.; Yang W.; Wang Z.
发表日期	2021
ISSN	1352-2310
卷号	244
英文摘要	The lockdown measures due to COVID-19 affected the industry, transportation and other human activities within China in early 2020, and subsequently the emissions of air pollutants. The decrease of atmospheric NO2 due to the COVID-19 lockdown and other factors were quantitively analyzed based on the surface concentrations by in-situ observations, the tropospheric vertical column densities (VCDs) by different satellite retrievals including OMI and TROPOMI, and the model simulations by GEOS-Chem. The results indicated that due to the COVID-19 lockdown, the surface NO2 concentrations decreased by 42% ± 8% and 26% ± 9% over China in February and March 2020, respectively. The tropospheric NO2 VCDs based on both OMI and high quality (quality assurance value (QA) ≥ 0.75) TROPOMI showed similar results as the surface NO2 concentrations. The daily variations of atmospheric NO2 during the first quarter (Q1) of 2020 were not only affected by the COVID-19 lockdown, but also by the Spring Festival (SF) holiday (January 24–30, 2020) as well as the meteorology changes due to seasonal transition. The SF holiday effect resulted in a NO2 reduction from 8 days before SF to 21 days after it (i.e. January 17 - February 15), with a maximum of 37%. From the 6 days after SF (January 31) to the end of March, the COVID-19 lockdown played an important role in the NO2 reduction, with a maximum of 51%. The meteorology changes due to seasonal transition resulted in a nearly linear decreasing trend of 25% and 40% reduction over the 90 days for the NO2 concentrations and VCDs, respectively. Comparisons between different datasets indicated that medium quality (QA ≥ 0.5) TROPOMI retrievals might suffer large biases in some periods, and thus attention must be paid when they are used for analyses, data assimilations and emission inversions. © 2020 Elsevier Ltd
关键词	China COVID-19 GEOS-Chem NO2 OMI TROPOMI
语种	英语
scopus关键词	Air pollution; Large dataset; Meteorology; Quality assurance; Troposphere; Daily variations; Data assimilation; Human activities; In-situ observations; Model simulation; Satellite retrieval; Surface concentration; Vertical column densities; Nitrogen oxides; nitrogen dioxide; air quality; atmospheric modeling; atmospheric pollution; concentration (composition); environmental impact; EOS; human activity; in situ measurement; meteorology; nitrogen oxides; observational method; satellite altimetry; simulation; spring (season); troposphere; air pollutant; Article; atmospheric deposition; China; comparative study; concentration (parameter); coronavirus disease 2019; human; meteorology; priority journal; quantitative analysis; seasonal variation; simulation; social isolation; 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/248814
作者单位	Research Institute for Applied Mechanics (RIAM), Kyushu University, Fukuoka, 8168580, Japan; State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences (CAS), Beijing, 100029, China; Environmental Science Research Laboratory, Central Research Institute of Electric Power Industry (CRIEPI), Chiba, 270-1194, Japan; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences (UCAS), Beijing, 100049, China; Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China
推荐引用方式 GB/T 7714	Wang Z.,Uno I.,Yumimoto K.,et al. Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO2 variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations[J],2021,244.
APA	Wang Z..,Uno I..,Yumimoto K..,Itahashi S..,Chen X..,...&Wang Z..(2021).Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO2 variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations.ATMOSPHERIC ENVIRONMENT,244.
MLA	Wang Z.,et al."Impacts of COVID-19 lockdown, Spring Festival and meteorology on the NO2 variations in early 2020 over China based on in-situ observations, satellite retrievals and model simulations".ATMOSPHERIC ENVIRONMENT 244(2021).