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Regional scenario of air pollution in lockdown due to COVID-19 pandemic: Evidence from major urban agglomerations of India.
Das, Manob; Das, Arijit; Sarkar, Raju; Saha, Sunil; Mandal, Papiya.
  • Das M; Department of Geography, University of Gour Banga, Malda 732103, West Bengal, India.
  • Das A; Department of Geography, University of Gour Banga, Malda 732103, West Bengal, India.
  • Sarkar R; Department of Civil Engineering, Delhi Technological University, Delhi 110042, India.
  • Saha S; Department of Geography, University of Gour Banga, Malda 732103, West Bengal, India.
  • Mandal P; Delhi Zonal Centre, CSIR-National Environmental Engineering Research Institute, New Delhi, India.
Urban Clim ; 37: 100821, 2021 May.
Article in English | MEDLINE | ID: covidwho-1127053
ABSTRACT
Air pollution in India during COVID-19 lockdown, which imposed on 25th March to 31st May 2020, has brought a significant improvement in air quality. The present paper mainly focuses on the scenario of air pollution level (PM2.5, PM10, SO2, NO2 and O3) across 57 urban agglomerations (UAs) of India during lockdown. For analysis, India has been divided into six regions - Northern, Western, Central, Southern, Eastern and North-Eastern. Various spatial statistical modelling with composite air quality index (CAQI) have been utilised to examine the spatial pattern of air pollution level. The result shows that concentration of all air pollutants decreased significantly (except O3) during lockdown. The maximum decrease is the concentration of NO2 (40%) followed by PM2.5 (32%), PM10 (24%) and SO2 (18%). Among 57 UA's, only five - Panipat (1.00), Ghaziabad (0.76), Delhi (0.74), Gurugram (0.72) and Varanasi (0.71) had least improvement in air pollution level considering entire lockdown period. The outcome of this study has an immense scope to understand the regional scenario of air pollution level and to implement effective strategies for environmental sustainability.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Urban Clim Year: 2021 Document Type: Article Affiliation country: J.uclim.2021.100821

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Language: English Journal: Urban Clim Year: 2021 Document Type: Article Affiliation country: J.uclim.2021.100821