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Impact of COVID lockdowns on spatio-temporal variability in land surface temperature and vegetation index.
Tewari, Apurba; Srivastava, Nishi.
  • Tewari A; Department of Physics, Birla Institute of Technology, Mesra, Ranchi, 835215, India.
  • Srivastava N; Department of Physics, Birla Institute of Technology, Mesra, Ranchi, 835215, India. nishi.bhu@gmail.com.
Environ Monit Assess ; 195(4): 507, 2023 Mar 24.
Article in English | MEDLINE | ID: covidwho-2283852
ABSTRACT
In urban areas, industrial and human activities are the prime cause that exacerbates the heating effects, also called the urban heat island (UHI) effect. The land surface temperature (LST), normalized difference vegetation index (NDVI), and the proportion of vegetation (Pv) are indicators of measurement of the heating/urbanization effects. In the present work, we investigated the impact of the COVID-19 lockdown, i.e., restricted human activities. We used Landsat-8 OLI/TIRS (level 1) data to investigate spatial and temporal heterogeneity changes in these urbanization indicators during full and partial lockdown periods in 2020 and 2021, with 2019 as the base year. We have selected three cities in India's eastern coal mining belt, Bokaro, Dhanbad, and Ranchi, for the study. Results showed a significant decrease in LST values over all sites, with a maximum reduction over mining sites, i.e., Bokaro and Dhanbad. The LST value decreased by about 13-19% during the lockdown period. Vegetation indices (i.e., NDVI and Pv) showed a substantial increase of about 15% overall sites. With decreased LST values and increased NDVI values, these quantities' correlations became more negative during the lockdown period. More positive changes are noticed over mining sites than non/less mining sites. This indirectly indicates the reduction in the heat-absorbing particles in the environment and surface of these sites, a possible cause for the reduction in LST values substantially. Reduction in coal particles at the land and vegetation surface likely contributed to decreased LST and enhanced vegetation indices. To check the statistical significance of changes in the UHI indicators in the lockdown period, statistical tests (ANOVA and Tukey's test) are performed. Results indicate that most of the case changes have been significant. The study's finding suggests the lockdown's positive impact on the heating/UHI effects. It emphasizes the need for planned lockdowns as city mitigation strategies to overcome pollution and environmental issues.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Hot Temperature Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Environ Monit Assess Journal subject: Environmental Health Year: 2023 Document Type: Article Affiliation country: S10661-023-11119-7

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Hot Temperature Type of study: Experimental Studies / Observational study Limits: Humans Language: English Journal: Environ Monit Assess Journal subject: Environmental Health Year: 2023 Document Type: Article Affiliation country: S10661-023-11119-7