4.6 Article

Weather indicators and improving air quality in association with COVID-19 pandemic in India

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SOFT COMPUTING
卷 27, 期 6, 页码 3367-3388

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SPRINGER
DOI: 10.1007/s00500-021-06012-9

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COVID-19; Air quality index; Lockdown; Mortality; Analytical neural network

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This study investigates the impact of the COVID-19 lockdown on air quality in India and the relationship between climate variables and the spread of the virus. The results show that the lockdown has improved air quality across the country, but there is no clear connection between climate parameters and the outbreak and mortality of the virus.
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 O-3) 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.

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