LockdownV1, Main, Corpus, bibRecord, 001385

Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period.

Identifieur interne : 001385 ( Main/Corpus ); précédent : 001384; suivant : 001386

Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period.

Auteurs : Krishna Prasad Vadrevu ; Aditya Eaturu ; Sumalika Biswas ; Kristofer Lasko ; Saroj Sahu ; J K Garg ; Chris Justice

Source :

Scientific reports [ 2045-2322 ] ; 2020.

RBID : pubmed:33024128

Abstract

In this study, we characterize the impacts of COVID-19 on air pollution using NO₂ and Aerosol Optical Depth (AOD) from TROPOMI and MODIS satellite datasets for 41 cities in India. Specifically, our results suggested a 13% NO₂ reduction during the lockdown (March 25-May 3rd, 2020) compared to the pre-lockdown (January 1st-March 24th, 2020) period. Also, a 19% reduction in NO₂ was observed during the 2020-lockdown as compared to the same period during 2019. The top cities where NO₂ reduction occurred were New Delhi (61.74%), Delhi (60.37%), Bangalore (48.25%), Ahmedabad (46.20%), Nagpur (46.13%), Gandhinagar (45.64) and Mumbai (43.08%) with less reduction in coastal cities. The temporal analysis revealed a progressive decrease in NO₂ for all seven cities during the 2020 lockdown period. Results also suggested spatial differences, i.e., as the distance from the city center increased, the NO₂ levels decreased exponentially. In contrast, to the decreased NO₂ observed for most of the cities, we observed an increase in NO₂ for cities in Northeast India during the 2020 lockdown period and attribute it to vegetation fires. The NO₂ temporal patterns matched the AOD signal; however, the correlations were poor. Overall, our results highlight COVID-19 impacts on NO₂, and the results can inform pollution mitigation efforts across different cities of India.

DOI: 10.1038/s41598-020-72271-5
PubMed: 33024128
PubMed Central: PMC7539013

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Le document en format XML

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<author><name sortKey="Vadrevu, Krishna Prasad" sort="Vadrevu, Krishna Prasad" uniqKey="Vadrevu K" first="Krishna Prasad" last="Vadrevu">Krishna Prasad Vadrevu</name>
<affiliation><nlm:affiliation>NASA Marshall Space Flight Center, Huntsville, AL, 35811, USA. krishna.p.vadrevu@nasa.gov.</nlm:affiliation>
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<author><name sortKey="Eaturu, Aditya" sort="Eaturu, Aditya" uniqKey="Eaturu A" first="Aditya" last="Eaturu">Aditya Eaturu</name>
<affiliation><nlm:affiliation>University of Alabama in Huntsville, Huntsville, AL, USA.</nlm:affiliation>
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<author><name sortKey="Biswas, Sumalika" sort="Biswas, Sumalika" uniqKey="Biswas S" first="Sumalika" last="Biswas">Sumalika Biswas</name>
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<author><name sortKey="Lasko, Kristofer" sort="Lasko, Kristofer" uniqKey="Lasko K" first="Kristofer" last="Lasko">Kristofer Lasko</name>
<affiliation><nlm:affiliation>US Army Corps of Engineers, Alexandria, VA, USA.</nlm:affiliation>
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<author><name sortKey="Sahu, Saroj" sort="Sahu, Saroj" uniqKey="Sahu S" first="Saroj" last="Sahu">Saroj Sahu</name>
<affiliation><nlm:affiliation>Utkal University, Bhubaneswar, Odisha, India.</nlm:affiliation>
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<author><name sortKey="Garg, J K" sort="Garg, J K" uniqKey="Garg J" first="J K" last="Garg">J K Garg</name>
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<author><name sortKey="Justice, Chris" sort="Justice, Chris" uniqKey="Justice C" first="Chris" last="Justice">Chris Justice</name>
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<author><name sortKey="Justice, Chris" sort="Justice, Chris" uniqKey="Justice C" first="Chris" last="Justice">Chris Justice</name>
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<front><div type="abstract" xml:lang="en">In this study, we characterize the impacts of COVID-19 on air pollution using NO<sub>2</sub>
 and Aerosol Optical Depth (AOD) from TROPOMI and MODIS satellite datasets for 41 cities in India. Specifically, our results suggested a 13% NO<sub>2</sub>
 reduction during the lockdown (March 25-May 3rd, 2020) compared to the pre-lockdown (January 1st-March 24th, 2020) period. Also, a 19% reduction in NO<sub>2</sub>
 was observed during the 2020-lockdown as compared to the same period during 2019. The top cities where NO<sub>2</sub>
 reduction occurred were New Delhi (61.74%), Delhi (60.37%), Bangalore (48.25%), Ahmedabad (46.20%), Nagpur (46.13%), Gandhinagar (45.64) and Mumbai (43.08%) with less reduction in coastal cities. The temporal analysis revealed a progressive decrease in NO<sub>2</sub>
 for all seven cities during the 2020 lockdown period. Results also suggested spatial differences, i.e., as the distance from the city center increased, the NO<sub>2</sub>
 levels decreased exponentially. In contrast, to the decreased NO<sub>2</sub>
 observed for most of the cities, we observed an increase in NO<sub>2</sub>
 for cities in Northeast India during the 2020 lockdown period and attribute it to vegetation fires. The NO<sub>2</sub>
 temporal patterns matched the AOD signal; however, the correlations were poor. Overall, our results highlight COVID-19 impacts on NO<sub>2</sub>
, and the results can inform pollution mitigation efforts across different cities of India.</div>
</front>
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<Abstract><AbstractText>In this study, we characterize the impacts of COVID-19 on air pollution using NO<sub>2</sub>
 and Aerosol Optical Depth (AOD) from TROPOMI and MODIS satellite datasets for 41 cities in India. Specifically, our results suggested a 13% NO<sub>2</sub>
 reduction during the lockdown (March 25-May 3rd, 2020) compared to the pre-lockdown (January 1st-March 24th, 2020) period. Also, a 19% reduction in NO<sub>2</sub>
 was observed during the 2020-lockdown as compared to the same period during 2019. The top cities where NO<sub>2</sub>
 reduction occurred were New Delhi (61.74%), Delhi (60.37%), Bangalore (48.25%), Ahmedabad (46.20%), Nagpur (46.13%), Gandhinagar (45.64) and Mumbai (43.08%) with less reduction in coastal cities. The temporal analysis revealed a progressive decrease in NO<sub>2</sub>
 for all seven cities during the 2020 lockdown period. Results also suggested spatial differences, i.e., as the distance from the city center increased, the NO<sub>2</sub>
 levels decreased exponentially. In contrast, to the decreased NO<sub>2</sub>
 observed for most of the cities, we observed an increase in NO<sub>2</sub>
 for cities in Northeast India during the 2020 lockdown period and attribute it to vegetation fires. The NO<sub>2</sub>
 temporal patterns matched the AOD signal; however, the correlations were poor. Overall, our results highlight COVID-19 impacts on NO<sub>2</sub>
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Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period.

Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period.

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Abstract

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