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RSS FeedsRemote Sensing, Vol. 14, Pages 4650: Geospatial Technology-Based Analysis of Air Quality in India during the COVID-19 Pandemic (Remote Sensing)

 
 

17 september 2022 11:52:57

 
Remote Sensing, Vol. 14, Pages 4650: Geospatial Technology-Based Analysis of Air Quality in India during the COVID-19 Pandemic (Remote Sensing)
 


The study evaluates the impacts of India’s COVID-19 lockdown and unlocking periods on the country’s ambient air quality. India experienced three strictly enforced lockdowns followed by unlocking periods where economic and social restrictions were gradually lifted. We have examined the in situ and satellite data of NO2 emissions for several Indian cities to assess the impacts of the lockdowns in India. Additionally, we analyzed NO2 data acquired from the Sentinel-5P TROPOMI sensor over a few districts of the Punjab state, as well as the National Capital Region. The comparisons between the in situ and satellite NO2 emissions were performed for the years 2019, 2020 and up to July 2021. Further analysis was conducted on the satellite data to map the NO2 emissions over India during March to July for the years of 2019, 2020 and 2021. Based on the in situ and satellite observations, we observed that the NO2 emissions significantly decreased by 45–55% in the first wave and 30% in the second wave, especially over the Northern Indian cities during the lockdown periods. The improved air quality over India is indicative of reduced pollution in the atmosphere due to the lockdown process, which slowed down the industrial and commercial activities, including the migration of humans from one place to another. Overall, the present study contributes to the understanding of the trends of the ambient air quality over large geographical areas using the Sentinel-5P satellite data and provides valuable information for regulatory bodies to design a better decision support system to improve air quality.


 
106 viewsCategory: Geology, Physics
 
Remote Sensing, Vol. 14, Pages 4649: A Multi-Indicator Evaluation Method for Spatial Distribution of Urban Emergency Shelters (Remote Sensing)
Remote Sensing, Vol. 14, Pages 4651: Joint Inversion of 3D Gravity and Magnetic Data under Undulating Terrain Based on Combined Hexahedral Grid (Remote Sensing)
 
 
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