4.5 Article

Spatial and temporal changes analysis of air quality before and after the COVID-19 in Shandong Province, China

Journal

EARTH SCIENCE INFORMATICS
Volume 15, Issue 2, Pages 863-876

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s12145-021-00739-7

Keywords

Air quality; COVID-19; Google Earth Engine; Shandong Province

Funding

  1. National Natural Science Foundation of China [41801308, 41930107]
  2. Open Fund of State Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University [20S01]
  3. Doctoral Research Fund of Shandong Jianzhu University [XNBS1804]
  4. Science and Technology Support Program for Youth Innovation in Colleges and Universities of Shandong Province [2019KJG005]
  5. Key Laboratory of Land Satellite Remote Sensing Application Center, Ministry of Natural Resources of the People's Republic of China

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Due to the implementation of home quarantine policy during the COVID-19 pandemic outbreak, the air quality in China, particularly in Shandong Province, has shown improvements. The concentrations of CO and NO2 have decreased, while SO2 remains relatively stable. Aerosol optical depth (AOD) has also increased in January 2020, attributed to urban heating and reduction of pollutants. These findings provide valuable data for atmospheric protection and air quality monitoring, as well as guidance for policy formulation and urban planning.
Due to the COVID-19 pandemic outbreak, the home quarantine policy was implemented to control the spread of the pandemic, which may have a positive impact on the improvement of air quality in China. In this study, Google Earth Engine (GEE) cloud computing platform was used to obtain CO, NO2, SO2 and aerosol optical depth (AOD) data from December 2018-March 2019, December 2019-March 2020, and December 2020-March 2021 in Shandong Province. These data were used to study the spatial and temporal distribution of air quality changes in Shandong Province before and after the pandemic and to analyze the reasons for the changes. The results show that: (1) Compared with the same period, CO and NO2 showed a decreasing trend from December 2019 to March 2020, with an average total change of 4082.36 mol/m(2) and 167.25 mol/m(2), and an average total change rate of 4.80% and 38.11%, respectively. SO2 did not have a significant decrease. This is inextricably linked to the reduction of human travel production activities with the implementation of the home quarantine policy. (2) The spatial and temporal variation of AOD was similar to that of pollutants, but showed a significant increase in January 2020, with an average total amount increase of 1.69 x 10(7) up about 2.54% from December 2019 to March 2020. This is attributed to urban heating and the reduction of pollutants such as NOx. (3) Pollutants and AOD were significantly correlated with meteorological data (e.g., average temperature, average humidity, average wind speed, average precipitation, etc.). This study provides data support for atmospheric protection and air quality monitoring in Shandong Province, as well as theoretical basis and technical guidance for policy formulation and urban planning.

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