2020
DOI: 10.1007/s12524-020-01157-w
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Investigating the Effect of Lockdown During COVID-19 on Land Surface Temperature: Study of Dehradun City, India

Abstract: Urban environment imposes challenges due to its dynamics and thermodynamic characteristics of the built environment. The present study aims to study the effect of lockdown during COVID-19 on the spatio-temporal land surface temperature (LST) patterns in Dehradun city. The TIRS sensor data of

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Cited by 47 publications
(28 citation statements)
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“…Hence, to prevent the outbreak of such a type, it is essential to understand the importance of forests and encourage afforestation worldwide [ 44 ]. Maithani et al [ 117 ] reported an increase in hotspots and a reduction in thermal comfort index in the Indian city of Dehradun in their examination of land surface temperature during post the COVID-19 lockdown.…”
Section: Thematic Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Hence, to prevent the outbreak of such a type, it is essential to understand the importance of forests and encourage afforestation worldwide [ 44 ]. Maithani et al [ 117 ] reported an increase in hotspots and a reduction in thermal comfort index in the Indian city of Dehradun in their examination of land surface temperature during post the COVID-19 lockdown.…”
Section: Thematic Discussionmentioning
confidence: 99%
“…For instance, Ahmadi et al [ 68 ] identified that disease spread is higher in humid areas, and is slow in arid regions of Iran embarking the need for experimental and observational studies to assess the effect of world climate in the long-run for anticipating pandemics. The use of urban thermal variance index can be applied to different cities of India for assessing the thermal comfort level post-lockdown [ 117 ]. The varying climatic conditions from country-to-country need to be studied in addition to host behavior of the disease for a better understanding of the prevalence of novel coronavirus.…”
Section: Future Research Agendamentioning
confidence: 99%
“…Except for the LST reductions in the above-mentioned countries, the inconsistent LST patterns and changes are attributed to the seasonal shift of the Intertropical Convergence Zone caused by the location of the sun in the remaining investigated countries located in tropical, temperate, or sub-polar climate zones. Few studies have examined the relationship between LST and air pollution ( Maithani et al, 2020 ; Song et al, 2018 ; Zheng et al, 2016 ; Feizizadeh and Blaschke, 2013 ); therefore, we performed this analysis as part of this study. The results showed that air pollution improvement has certain impacts on LST, which was evidenced in some countries by a declining LST trend throughout the study period, and in a few countries, it reduced immediately after the lockdown period began.…”
Section: Discussionmentioning
confidence: 99%
“…The results showed that air pollution improvement has certain impacts on LST, which was evidenced in some countries by a declining LST trend throughout the study period, and in a few countries, it reduced immediately after the lockdown period began. A similar approach was utilized in a study conducted in India that highlighted the effect of the lockdown on the spatiotemporal LST patterns ( Maithani et al, 2020 ). That study found that pollution levels were considerably lower during the lockdown period due to restricted vehicular movement and the absence of commercial and industrial activities, which caused a reduction in the greenhouse effect, allowing long-wave radiation to escape; therefore, the mean LSTs were lower in 2020 than in the previous years ( Maithani et al, 2020 ).…”
Section: Discussionmentioning
confidence: 99%
“…The impact of COVID-19 induced lockdown on the changes of air quality and land surface temperature has been already discussed in the literature. Reference [22] reported an overall decrease in LST values in Dehradun City, India, during the post-COVID lockdown time. Another research conducted in Wuhan City, China, by [23] reveals that during the COVID-19, the mean LST was lower than the mean LST of the last three years on the same dates.…”
Section: Introductionmentioning
confidence: 99%