
1.Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, 230026 Hefei, China
2.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
3.Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China
4.Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, 230026 Hefei, China
5.School of Earth and Space Sciences, University of Science and Technology of China, 230026 Hefei, China
6.Department of Environmental Science and Engineering, University of Science and Technology of China, 230026 Hefei, China
Qihou Hu (qhhu@aiofm.ac.cn)
Published:28 February 2022,
Published Online:02 February 2022,
Received:24 August 2021,
Revised:29 December 2021,
Accepted:18 January 2022
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Liu, C. et al. First Chinese ultraviolet–visible hyperspectral satellite instrument implicating global air quality during the COVID-19 pandemic in early 2020. Light: Science & Applications, 11, 242-253 (2022).
Liu, C. et al. First Chinese ultraviolet–visible hyperspectral satellite instrument implicating global air quality during the COVID-19 pandemic in early 2020. Light: Science & Applications, 11, 242-253 (2022). 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
2
)
sulfur dioxide (SO
2
)
and formaldehyde (HCHO)
from EMI during the pandemic. The abrupt drop in NO
2
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
2
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.
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