Liu Song, Valks Pieter, Beirle Steffen, Loyola Diego G
Deutsches Zentrum für Luft- und Raumfahrt (DLR), Institut für Methodik der Fernerkundung (IMF), Oberpfaffenhofen, Germany.
Present Address: School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China.
Air Qual Atmos Health. 2021;14(11):1737-1755. doi: 10.1007/s11869-021-01046-2. Epub 2021 Aug 28.
Since its first confirmed case in December 2019, coronavirus disease 2019 (COVID-19) has become a worldwide pandemic with more than 90 million confirmed cases by January 2021. Countries around the world have enforced lockdown measures to prevent the spread of the virus, introducing a temporal change of air pollutants such as nitrogen dioxide (NO) that are strongly related to transportation, industry, and energy. In this study, NO variations over regions with strong responses to COVID-19 are analysed using datasets from the Global Ozone Monitoring Experiment-2 (GOME-2) sensor aboard the EUMETSAT Metop satellites and TROPOspheric Monitoring Instrument (TROPOMI) aboard the EU/ESA Sentinel-5 Precursor satellite. The global GOME-2 and TROPOMI NO datasets are generated at the German Aerospace Center (DLR) using harmonized retrieval algorithms; potential influences of the long-term trend and seasonal cycle, as well as the short-term meteorological variation, are taken into account statistically. We present the application of the GOME-2 data to analyze the lockdown-related NO variations for morning conditions. Consistent NO variations are observed for the GOME-2 measurements and the early afternoon TROPOMI data: regions with strong social responses to COVID-19 in Asia, Europe, North America, and South America show strong NO reductions of 30-50% on average due to restriction of social and economic activities, followed by a gradual rebound with lifted restriction measures.
The online version contains supplementary material available at 10.1007/s11869-021-01046-2.
自2019年12月首次确诊病例以来,2019冠状病毒病(COVID-19)已成为全球大流行疾病,截至2021年1月确诊病例超过9000万例。世界各国都实施了封锁措施以防止病毒传播,这导致了与交通、工业和能源密切相关的空气污染物(如二氧化氮(NO))的暂时变化。在本研究中,利用欧洲气象卫星组织(EUMETSAT)Metop卫星上搭载的全球臭氧监测实验-2(GOME-2)传感器和欧盟/欧洲航天局(EU/ESA)哨兵-5号前驱卫星上搭载的对流层监测仪器(TROPOMI)的数据集,分析了对COVID-19有强烈响应地区的NO变化情况。全球GOME-2和TROPOMI的NO数据集由德国航空航天中心(DLR)使用统一的反演算法生成;统计时考虑了长期趋势和季节周期以及短期气象变化的潜在影响。我们展示了GOME-2数据在分析早晨时段与封锁相关的NO变化中的应用。GOME-2测量结果和下午早些时候的TROPOMI数据观察到一致的NO变化:亚洲、欧洲、北美洲和南美洲对COVID-19社会响应强烈的地区,由于社会和经济活动受到限制,平均NO大幅减少30%-50%,随后随着限制措施的解除而逐渐反弹。
在线版本包含可在10.1007/s11869-021-01046-2获取的补充材料。