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The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis
To overcome the spread of the severe COVID-19 outbreak, various lockdown measures have been taken worldwide. China imposed the strictest home-quarantine measures during the COVID-19 outbreak in the year 2020. This provides a valuable opportunity to study the impact of anthropogenic emission reductio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778968/ https://www.ncbi.nlm.nih.gov/pubmed/36554934 http://dx.doi.org/10.3390/ijerph192417056 |
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author | Wang, Siyu Chu, Haijiao Gong, Changyu Wang, Ping Wu, Fei Zhao, Chunhong |
author_facet | Wang, Siyu Chu, Haijiao Gong, Changyu Wang, Ping Wu, Fei Zhao, Chunhong |
author_sort | Wang, Siyu |
collection | PubMed |
description | To overcome the spread of the severe COVID-19 outbreak, various lockdown measures have been taken worldwide. China imposed the strictest home-quarantine measures during the COVID-19 outbreak in the year 2020. This provides a valuable opportunity to study the impact of anthropogenic emission reductions on air quality. Based on the GEE platform and satellite imagery, this study analyzed the changes in the concentrations of NO(2), O(3), CO, and SO(2) in the same season (1 February–1 May) before and after the epidemic control (2019–2021) for 16 typical representative cities of China. The results showed that NO(2) concentrations significantly decreased by around 20–24% for different types of metropolises, whereas O(3) increased for most of the studied metropolises, including approximately 7% in megacities and other major cities. Additionally, the concentrations of CO and SO(2) showed no statistically significant changes during the study intervals. The study also indicated strong variations in air pollutants among different geographic regions. In addition to the methods in this study, it is essential to include the differences in meteorological impact factors in the study to identify future references for air pollution reduction measures. |
format | Online Article Text |
id | pubmed-9778968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97789682022-12-23 The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis Wang, Siyu Chu, Haijiao Gong, Changyu Wang, Ping Wu, Fei Zhao, Chunhong Int J Environ Res Public Health Article To overcome the spread of the severe COVID-19 outbreak, various lockdown measures have been taken worldwide. China imposed the strictest home-quarantine measures during the COVID-19 outbreak in the year 2020. This provides a valuable opportunity to study the impact of anthropogenic emission reductions on air quality. Based on the GEE platform and satellite imagery, this study analyzed the changes in the concentrations of NO(2), O(3), CO, and SO(2) in the same season (1 February–1 May) before and after the epidemic control (2019–2021) for 16 typical representative cities of China. The results showed that NO(2) concentrations significantly decreased by around 20–24% for different types of metropolises, whereas O(3) increased for most of the studied metropolises, including approximately 7% in megacities and other major cities. Additionally, the concentrations of CO and SO(2) showed no statistically significant changes during the study intervals. The study also indicated strong variations in air pollutants among different geographic regions. In addition to the methods in this study, it is essential to include the differences in meteorological impact factors in the study to identify future references for air pollution reduction measures. MDPI 2022-12-19 /pmc/articles/PMC9778968/ /pubmed/36554934 http://dx.doi.org/10.3390/ijerph192417056 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Siyu Chu, Haijiao Gong, Changyu Wang, Ping Wu, Fei Zhao, Chunhong The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis |
title | The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis |
title_full | The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis |
title_fullStr | The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis |
title_full_unstemmed | The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis |
title_short | The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis |
title_sort | effects of covid-19 lockdown on air pollutant concentrations across china: a google earth engine-based analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9778968/ https://www.ncbi.nlm.nih.gov/pubmed/36554934 http://dx.doi.org/10.3390/ijerph192417056 |
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