Asset Details
Do you wish to reserve the book?
Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period
Do you wish to request the book?
Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Spatial and temporal variations of air pollution over 41 cities of India during the COVID-19 lockdown period
2020
Overview
In this study, we characterize the impacts of COVID-19 on air pollution using NO
2
and Aerosol Optical Depth (AOD) from TROPOMI and MODIS satellite datasets for 41 cities in India. Specifically, our results suggested a 13% NO
2
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
2
was observed during the 2020-lockdown as compared to the same period during 2019. The top cities where NO
2
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
2
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
2
levels decreased exponentially. In contrast, to the decreased NO
2
observed for most of the cities, we observed an increase in NO
2
for cities in Northeast India during the 2020 lockdown period and attribute it to vegetation fires. The NO
2
temporal patterns matched the AOD signal; however, the correlations were poor. Overall, our results highlight COVID-19 impacts on NO
2
, and the results can inform pollution mitigation efforts across different cities of India.
Publisher
Nature Publishing Group UK,Nature Publishing Group
