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Weather indicators and improving air quality in association with COVID-19 pandemic in India.
Soft comput. 2021 Jul 13 [Online ahead of print]SC

Abstract

The COVID-19 pandemic enforced nationwide lockdown, which has restricted human activities from March 24 to May 3, 2020, resulted in an improved air quality across India. The present research investigates the connection between COVID-19 pandemic-imposed lockdown and its relation to the present air quality in India; besides, relationship between climate variables and daily new affected cases of Coronavirus and mortality in India during the this period has also been examined. The selected seven air quality pollutant parameters (PM10, PM2.5, CO, NO2, SO2, NH3, and O3) at 223 monitoring stations and temperature recorded in New Delhi were used to investigate the spatial pattern of air quality throughout the lockdown. The results showed that the air quality has improved across the country and average temperature and maximum temperature were connected to the outbreak of the COVID-19 pandemic. This outcomes indicates that there is no such relation between climatic parameters and outbreak and its associated mortality. This study will assist the policy maker, researcher, urban planner, and health expert to make suitable strategies against the spreading of COVID-19 in India and abroad.

Supplementary Information

The online version contains supplementary material available at 10.1007/s00500-021-06012-9.

Authors+Show Affiliations

Department of Geography, The University of Burdwan, Bardhaman, West Bengal India.Department of Geography, The University of Burdwan, Bardhaman, West Bengal India.Centre for Rural Development and Sustainable Innovative Technology, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal India.Department of Geomorphology, Tarbiat Modares University, 14117-13116 Tehran, Iran.Department of Geography, The University of Burdwan, Bardhaman, West Bengal India.Department of Geography, The University of Burdwan, Bardhaman, West Bengal India.Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007 Australia. Department of Energy and Mineral Resources Engineering, Sejong University, Choongmu-gwan, 209 Neungdong-ro, Gwangjin-gu, Seoul, 05006 Korea. Center of Excellence for Climate Change Research, King Abdulaziz University, P.O. Box 80234, Jeddah, 21589 Saudi Arabia. Earth Observation Center, Institute of Climate Change, University Kebangsaan Malaysia, 43600 UKM Bangi, Selangor Malaysia.Ecology and Environmental Modelling Laboratory, Department of Environmental Science, The University of Burdwan, Burdwan, West Bengal India.Institute of Research and Development, Duy Tan University, Da Nang, 550000 Vietnam.Department of Geography, The University of Burdwan, Bardhaman, West Bengal India.Centre for Climate Change Adaptation, National Institute for Environmental Studies, Ibaraki, 305-8506 Japan.School of Environment, Education and Development, University of Manchester, Oxford Road, Manchester, M13 9PL UK.Department of Geography, The University of Burdwan, Bardhaman, West Bengal India.Department of Geography, The University of Burdwan, Bardhaman, West Bengal India.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

34276248

Citation

Chakrabortty, Rabin, et al. "Weather Indicators and Improving Air Quality in Association With COVID-19 Pandemic in India." Soft Computing, 2021, pp. 1-22.
Chakrabortty R, Pal SC, Ghosh M, et al. Weather indicators and improving air quality in association with COVID-19 pandemic in India. Soft comput. 2021.
Chakrabortty, R., Pal, S. C., Ghosh, M., Arabameri, A., Saha, A., Roy, P., Pradhan, B., Mondal, A., Ngo, P. T. T., Chowdhuri, I., Yunus, A. P., Sahana, M., Malik, S., & Das, B. (2021). Weather indicators and improving air quality in association with COVID-19 pandemic in India. Soft Computing, 1-22. https://doi.org/10.1007/s00500-021-06012-9
Chakrabortty R, et al. Weather Indicators and Improving Air Quality in Association With COVID-19 Pandemic in India. Soft comput. 2021 Jul 13;1-22. PubMed PMID: 34276248.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Weather indicators and improving air quality in association with COVID-19 pandemic in India. AU - Chakrabortty,Rabin, AU - Pal,Subodh Chandra, AU - Ghosh,Manoranjan, AU - Arabameri,Alireza, AU - Saha,Asish, AU - Roy,Paramita, AU - Pradhan,Biswajeet, AU - Mondal,Ayan, AU - Ngo,Phuong Thao Thi, AU - Chowdhuri,Indrajit, AU - Yunus,Ali P, AU - Sahana,Mehebub, AU - Malik,Sadhan, AU - Das,Biswajit, Y1 - 2021/07/13/ PY - 2021/06/28/accepted PY - 2021/7/19/entrez PY - 2021/7/20/pubmed PY - 2021/7/20/medline KW - Air quality index KW - Analytical neural network KW - COVID-19 KW - Lockdown KW - Mortality SP - 1 EP - 22 JF - Soft computing JO - Soft comput N2 - : The COVID-19 pandemic enforced nationwide lockdown, which has restricted human activities from March 24 to May 3, 2020, resulted in an improved air quality across India. The present research investigates the connection between COVID-19 pandemic-imposed lockdown and its relation to the present air quality in India; besides, relationship between climate variables and daily new affected cases of Coronavirus and mortality in India during the this period has also been examined. The selected seven air quality pollutant parameters (PM10, PM2.5, CO, NO2, SO2, NH3, and O3) at 223 monitoring stations and temperature recorded in New Delhi were used to investigate the spatial pattern of air quality throughout the lockdown. The results showed that the air quality has improved across the country and average temperature and maximum temperature were connected to the outbreak of the COVID-19 pandemic. This outcomes indicates that there is no such relation between climatic parameters and outbreak and its associated mortality. This study will assist the policy maker, researcher, urban planner, and health expert to make suitable strategies against the spreading of COVID-19 in India and abroad. Supplementary Information: The online version contains supplementary material available at 10.1007/s00500-021-06012-9. SN - 1432-7643 UR - https://www.unboundmedicine.com/medline/citation/34276248/Weather_indicators_and_improving_air_quality_in_association_with_COVID-19_pandemic_in_India. L2 - https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/34276248/ DB - PRIME DP - Unbound Medicine ER -
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