Liu Cheng, Hu Qihou, Zhang Chengxin, Xia Congzi, Yin Hao, Su Wenjing, Wang Xiaohan, Xu Yizhou, Zhang Zhiguo
Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, 230026, Hefei, China.
Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China.
Light Sci Appl. 2022 Feb 2;11(1):28. doi: 10.1038/s41377-022-00722-x.
In response to the COVID-19 pandemic, governments worldwide imposed lockdown measures in early 2020, resulting in notable reductions in air pollutant emissions. The changes in air quality during the pandemic have been investigated in numerous studies via satellite observations. Nevertheless, no relevant research has been gathered using Chinese satellite instruments, because the poor spectral quality makes it extremely difficult to retrieve data from the spectra of the Environmental Trace Gases Monitoring Instrument (EMI), the first Chinese satellite-based ultraviolet-visible spectrometer monitoring air pollutants. However, through a series of remote sensing algorithm optimizations from spectral calibration to retrieval, we successfully retrieved global gaseous pollutants, such as nitrogen dioxide (NO), sulfur dioxide (SO), and formaldehyde (HCHO), from EMI during the pandemic. The abrupt drop in NO successfully captured the time for each city when effective measures were implemented to prevent the spread of the pandemic, for example, in January 2020 in Chinese cities, February in Seoul, and March in Tokyo and various cities across Europe and America. Furthermore, significant decreases in HCHO in Wuhan, Shanghai, Guangzhou, and Seoul indicated that the majority of volatile organic compounds (VOCs) emissions were anthropogenic. Contrastingly, the lack of evident reduction in Beijing and New Delhi suggested dominant natural sources of VOCs. By comparing the relative variation of NO to gross domestic product (GDP), we found that the COVID-19 pandemic had more influence on the secondary industry in China, while on the primary and tertiary industries in Korea and the countries across Europe and America.
为应对新冠疫情,全球各国政府于2020年初实施了封锁措施,导致空气污染物排放量显著减少。疫情期间空气质量的变化已在众多研究中通过卫星观测进行了调查。然而,尚未有使用中国卫星仪器收集的相关研究,因为光谱质量较差,使得从环境微量气体监测仪(EMI)的光谱中检索数据极为困难,EMI是中国首个基于卫星的监测空气污染物的紫外可见光谱仪。不过,通过从光谱校准到反演的一系列遥感算法优化,我们成功地从疫情期间的EMI中反演了全球气态污染物,如二氧化氮(NO)、二氧化硫(SO)和甲醛(HCHO)。NO的突然下降成功捕捉到了每个城市实施有效措施以防止疫情传播的时间,例如,2020年1月在中国城市,2月在首尔,3月在东京以及欧美各城市。此外,武汉、上海、广州和首尔的HCHO显著下降表明,大多数挥发性有机化合物(VOCs)排放是人为造成的。相比之下,北京和新德里缺乏明显下降表明VOCs的主要来源是自然的。通过比较NO与国内生产总值(GDP)的相对变化,我们发现新冠疫情对中国第二产业的影响更大,而对韩国以及欧美国家的第一和第三产业影响更大。