Change In Nitrogen Dioxide (No2 ) Concentration Due To The Lockdown Amid The Covid-19 Pandemic In India

The study aimed to examine the change in the concentration of nitrogen dioxide due to the lockdown amid the COVID-19 pandemic in India at the district level using Sentinel-5P TROPOMI. The spatio-temporal characteristics of the tropospheric column NO2  concentration during 45 days of the lockdown wer...

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Main Authors: Zubairul Islam, Sudhir Kumar Singh, Saroj Ahirwar
Format: Article
Language:English
Published: Lomonosov Moscow State University 2021-12-01
Series:Geography, Environment, Sustainability
Subjects:
Online Access:https://ges.rgo.ru/jour/article/view/2192
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author Zubairul Islam
Sudhir Kumar Singh
Saroj Ahirwar
author_facet Zubairul Islam
Sudhir Kumar Singh
Saroj Ahirwar
author_sort Zubairul Islam
collection DOAJ
description The study aimed to examine the change in the concentration of nitrogen dioxide due to the lockdown amid the COVID-19 pandemic in India at the district level using Sentinel-5P TROPOMI. The spatio-temporal characteristics of the tropospheric column NO2  concentration during 45 days of the lockdown were compared with the same days of 2019. Further, to model spatially varying relationships of NO2 during the lockdown period, it was given as a dependent variable whereas NO2 during the pre-lockdown period was considered as an independent variable. Results show that the mean NO2 concentration was reduced from 0.00406 mol/m2 before the lockdown (2019-03-25 to 2019-05-10) to 0.0036 mol/m2 during the lockdown period (2020-03-25 to 2020-05-10). The maximum decline of NO2 concentration was observed in Gautam Buddha Nagar and Delhi. This indicates the high level of atmospheric pollution due to the excess use of fuel in human activities. The results of the Ordinary Least Squares (OLS) method show a strong positive relationship between both variables. Positive standard residuals indicate that the concentration of NO2 has reduced more than expected as per the OLS model. The z-score (24.11) was obtained from spatial autocorrelation. It indicates that residuals are highly clustered and there is less than a 1% likelihood that this clustered pattern could be a result of a random chance. The highest decrease was observed in districts/urban agglomerations of Gautam Buddha Nagar (-40%), Delhi (-37%), Greater Bombay (-31%), Hyderabad (-29%), Faridabad (-29%), Bangalore Urban (-28%), Gandhinagar (-27%), Chennai (-27%) and Gurgaon (-26%) respectively.
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spelling doaj.art-cd1cea146ad349eabb0128b1dc2172fd2023-03-13T07:52:34ZengLomonosov Moscow State UniversityGeography, Environment, Sustainability2071-93882542-15652021-12-0114419219810.24057/2071-9388-2021-065586Change In Nitrogen Dioxide (No2 ) Concentration Due To The Lockdown Amid The Covid-19 Pandemic In IndiaZubairul Islam0Sudhir Kumar Singh1Saroj Ahirwar2Adigrat UniversityK. Banerjee Centre of Atmospheric & Ocean Studies, IIDS, Nehru Science Centre University of AllahabadDepartment of Industrial Microbiology, Jacob Institute of Biotechnology and Bioengineering (JIBB) Sam Higginbottom Institute of Agriculture, Technology and Sciences (SHUATS)The study aimed to examine the change in the concentration of nitrogen dioxide due to the lockdown amid the COVID-19 pandemic in India at the district level using Sentinel-5P TROPOMI. The spatio-temporal characteristics of the tropospheric column NO2  concentration during 45 days of the lockdown were compared with the same days of 2019. Further, to model spatially varying relationships of NO2 during the lockdown period, it was given as a dependent variable whereas NO2 during the pre-lockdown period was considered as an independent variable. Results show that the mean NO2 concentration was reduced from 0.00406 mol/m2 before the lockdown (2019-03-25 to 2019-05-10) to 0.0036 mol/m2 during the lockdown period (2020-03-25 to 2020-05-10). The maximum decline of NO2 concentration was observed in Gautam Buddha Nagar and Delhi. This indicates the high level of atmospheric pollution due to the excess use of fuel in human activities. The results of the Ordinary Least Squares (OLS) method show a strong positive relationship between both variables. Positive standard residuals indicate that the concentration of NO2 has reduced more than expected as per the OLS model. The z-score (24.11) was obtained from spatial autocorrelation. It indicates that residuals are highly clustered and there is less than a 1% likelihood that this clustered pattern could be a result of a random chance. The highest decrease was observed in districts/urban agglomerations of Gautam Buddha Nagar (-40%), Delhi (-37%), Greater Bombay (-31%), Hyderabad (-29%), Faridabad (-29%), Bangalore Urban (-28%), Gandhinagar (-27%), Chennai (-27%) and Gurgaon (-26%) respectively.https://ges.rgo.ru/jour/article/view/2192covid-19coronavirusnitrogen dioxide (no2 )sentinel-5p
spellingShingle Zubairul Islam
Sudhir Kumar Singh
Saroj Ahirwar
Change In Nitrogen Dioxide (No2 ) Concentration Due To The Lockdown Amid The Covid-19 Pandemic In India
Geography, Environment, Sustainability
covid-19
coronavirus
nitrogen dioxide (no2 )
sentinel-5p
title Change In Nitrogen Dioxide (No2 ) Concentration Due To The Lockdown Amid The Covid-19 Pandemic In India
title_full Change In Nitrogen Dioxide (No2 ) Concentration Due To The Lockdown Amid The Covid-19 Pandemic In India
title_fullStr Change In Nitrogen Dioxide (No2 ) Concentration Due To The Lockdown Amid The Covid-19 Pandemic In India
title_full_unstemmed Change In Nitrogen Dioxide (No2 ) Concentration Due To The Lockdown Amid The Covid-19 Pandemic In India
title_short Change In Nitrogen Dioxide (No2 ) Concentration Due To The Lockdown Amid The Covid-19 Pandemic In India
title_sort change in nitrogen dioxide no2 concentration due to the lockdown amid the covid 19 pandemic in india
topic covid-19
coronavirus
nitrogen dioxide (no2 )
sentinel-5p
url https://ges.rgo.ru/jour/article/view/2192
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