Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis
Shortly after the outbreak of the novel infectious disease (COVID-19) started at the end of 2019, it turned into a global pandemic, which caused the lockdown of many countries across the world. Various strict measures were adopted to reduce anthropogenic activities in order to prevent further spread...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-07-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/12/15/2420 |
id |
doaj-364d39d583af48ccbc9a1f1b5ccdb9a1 |
---|---|
record_format |
Article |
spelling |
doaj-364d39d583af48ccbc9a1f1b5ccdb9a12020-11-25T03:48:46ZengMDPI AGRemote Sensing2072-42922020-07-01122420242010.3390/rs12152420Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale AnalysisZhijie Zhang0Arfan Arshad1Chuanrong Zhang2Saddam Hussain3Weidong Li4Department of Geography, University of Connecticut, Storrs, CT 06269, USAKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, ChinaDepartment of Geography, University of Connecticut, Storrs, CT 06269, USADepartment of Irrigation and Drainage, University of Agriculture Faisalabad, Faisalabad 38040, PakistanDepartment of Geography, University of Connecticut, Storrs, CT 06269, USAShortly after the outbreak of the novel infectious disease (COVID-19) started at the end of 2019, it turned into a global pandemic, which caused the lockdown of many countries across the world. Various strict measures were adopted to reduce anthropogenic activities in order to prevent further spread and infection of the disease. In this study, we utilized continental scale remotely sensed data along with city scale in situ air quality observations for 2020 as well as data from the baseline period (2015–2019) to provide an early insight on air pollution changes in response to the COVID-19 pandemic lockdown, by combining both continental and city scales. For the continental scale analysis, data of NO<sub>2</sub>, SO<sub>2</sub>, and O<sub>3 </sub>were acquired from the ozone monitoring instrument (OMI) and data of aerosol optical depth (AOD) were collected from the moderate resolution imaging spectroradiometer (MODIS). For city scale analysis, data of NO<sub>2</sub>, CO, PM2.5, O<sub>3</sub>, and SO<sub>2</sub> were derived from ground-based air quality observations. Results from satellite observations at the continental scale showed that concentrations of NO<sub>2</sub>, SO<sub>2</sub>, and AOD substantially dropped in 2020 during the lockdown period compared to their averages for the baseline period over all continents, with a maximum reduction of ~33% for NO<sub>2 </sub>in East Asia, ~41% for SO<sub>2 </sub>in East Asia, and ~37% for AOD in South Asia. In the case of O<sub>3</sub>, the maximum overall reduction was observed as ~11% in Europe, followed by ~10% in North America, while a slight increase was found in other study regions. These findings align with ground-based air quality observations, which showed that pollutants such as NO<sub>2</sub>, CO, PM2.5, and SO<sub>2</sub> during the 2020 lockdown period decreased significantly except that O<sub>3</sub> had varying patterns in different cities. Specifically, a maximum reduction of ~49% in NO<sub>2</sub> was found in London, ~43% in CO in Wuhan, ~38% in PM2.5 in Chennai, and ~48% in SO<sub>2</sub> in Beijing. In the case of urban O<sub>3</sub>, a maximum reduction of ~43% was found in Wuhan, but a significant increase of ~47% was observed in Chennai. It is obvious that restricted human activities during the lockdown have reduced the anthropogenic emissions and subsequently improved air quality, especially across the metropolitan cities.https://www.mdpi.com/2072-4292/12/15/2420COVID-19lockdowngeospatial correlationambient air pollutantsOMIMODIS |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zhijie Zhang Arfan Arshad Chuanrong Zhang Saddam Hussain Weidong Li |
spellingShingle |
Zhijie Zhang Arfan Arshad Chuanrong Zhang Saddam Hussain Weidong Li Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis Remote Sensing COVID-19 lockdown geospatial correlation ambient air pollutants OMI MODIS |
author_facet |
Zhijie Zhang Arfan Arshad Chuanrong Zhang Saddam Hussain Weidong Li |
author_sort |
Zhijie Zhang |
title |
Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis |
title_short |
Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis |
title_full |
Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis |
title_fullStr |
Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis |
title_full_unstemmed |
Unprecedented Temporary Reduction in Global Air Pollution Associated with COVID-19 Forced Confinement: A Continental and City Scale Analysis |
title_sort |
unprecedented temporary reduction in global air pollution associated with covid-19 forced confinement: a continental and city scale analysis |
publisher |
MDPI AG |
series |
Remote Sensing |
issn |
2072-4292 |
publishDate |
2020-07-01 |
description |
Shortly after the outbreak of the novel infectious disease (COVID-19) started at the end of 2019, it turned into a global pandemic, which caused the lockdown of many countries across the world. Various strict measures were adopted to reduce anthropogenic activities in order to prevent further spread and infection of the disease. In this study, we utilized continental scale remotely sensed data along with city scale in situ air quality observations for 2020 as well as data from the baseline period (2015–2019) to provide an early insight on air pollution changes in response to the COVID-19 pandemic lockdown, by combining both continental and city scales. For the continental scale analysis, data of NO<sub>2</sub>, SO<sub>2</sub>, and O<sub>3 </sub>were acquired from the ozone monitoring instrument (OMI) and data of aerosol optical depth (AOD) were collected from the moderate resolution imaging spectroradiometer (MODIS). For city scale analysis, data of NO<sub>2</sub>, CO, PM2.5, O<sub>3</sub>, and SO<sub>2</sub> were derived from ground-based air quality observations. Results from satellite observations at the continental scale showed that concentrations of NO<sub>2</sub>, SO<sub>2</sub>, and AOD substantially dropped in 2020 during the lockdown period compared to their averages for the baseline period over all continents, with a maximum reduction of ~33% for NO<sub>2 </sub>in East Asia, ~41% for SO<sub>2 </sub>in East Asia, and ~37% for AOD in South Asia. In the case of O<sub>3</sub>, the maximum overall reduction was observed as ~11% in Europe, followed by ~10% in North America, while a slight increase was found in other study regions. These findings align with ground-based air quality observations, which showed that pollutants such as NO<sub>2</sub>, CO, PM2.5, and SO<sub>2</sub> during the 2020 lockdown period decreased significantly except that O<sub>3</sub> had varying patterns in different cities. Specifically, a maximum reduction of ~49% in NO<sub>2</sub> was found in London, ~43% in CO in Wuhan, ~38% in PM2.5 in Chennai, and ~48% in SO<sub>2</sub> in Beijing. In the case of urban O<sub>3</sub>, a maximum reduction of ~43% was found in Wuhan, but a significant increase of ~47% was observed in Chennai. It is obvious that restricted human activities during the lockdown have reduced the anthropogenic emissions and subsequently improved air quality, especially across the metropolitan cities. |
topic |
COVID-19 lockdown geospatial correlation ambient air pollutants OMI MODIS |
url |
https://www.mdpi.com/2072-4292/12/15/2420 |
work_keys_str_mv |
AT zhijiezhang unprecedentedtemporaryreductioninglobalairpollutionassociatedwithcovid19forcedconfinementacontinentalandcityscaleanalysis AT arfanarshad unprecedentedtemporaryreductioninglobalairpollutionassociatedwithcovid19forcedconfinementacontinentalandcityscaleanalysis AT chuanrongzhang unprecedentedtemporaryreductioninglobalairpollutionassociatedwithcovid19forcedconfinementacontinentalandcityscaleanalysis AT saddamhussain unprecedentedtemporaryreductioninglobalairpollutionassociatedwithcovid19forcedconfinementacontinentalandcityscaleanalysis AT weidongli unprecedentedtemporaryreductioninglobalairpollutionassociatedwithcovid19forcedconfinementacontinentalandcityscaleanalysis |
_version_ |
1724497212930523136 |