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1.
Anales De Geografia De La Universidad Complutense ; 42(2):409-444, 2022.
Article in English | Web of Science | ID: covidwho-2202625

ABSTRACT

The COVID-19 outbreak and the lockdown situation have generated a significant negative impact on the world economy but have provided a unique opportunity to understand the impact of human activity on environmental pollution and how it affects the urban climate. This study takes the city of Granada (Spain) in order to carry out an evaluation of the environmental parameters (So2, No2, Co and O3) obtained through Sentinel 5P images and how they affect the Terrestrial Surface Temperature (TST) and the Surface Urban Heat Island (ICUS) obtained through Sentinel 3 images. Knowing the environmental impact on the TST and ICUS of the different Local Climate Zones (ZCL) of the city will have an impact on future urban resilience studies. As a result, and during the confinement period, the following variations have been obtained with respect to environmental pollutants: So2 (-24.0%), No2 (-6.7%), Co (-13.2%) and O3 (+4.0%). The TST has experienced an average reduction of-8.7 degrees C (-38.0%) while the ICUS has decreased by-1.6 degrees C (-66.0%).

2.
Geohealth ; 6(5): e2021GH000568, 2022 May.
Article in English | MEDLINE | ID: covidwho-1805558

ABSTRACT

In March 2020, the first known cases of COVID-19 occurred in Europe. Subsequently, the pandemic developed a seasonal pattern. The incidence of COVID-19 comprises spatial heterogeneity and seasonal variations, with lower and/or shorter peaks resulting in lower total incidence and higher and/or longer peaks resulting higher total incidence. The reason behind this phenomena is still unclear. Unraveling factors that explain why certain places have higher versus lower total COVID-19 incidence can help health decision makers understand and plan for future waves of the pandemic. We test whether differences in the total incidence of COVID-19 within five European countries (Norway, Sweden, Germany, Italy, and Spain), correlate with two environmental factors: the Köppen-Geiger climate zones and the Continentality Index, while statistically controlling for crowding. Our results show that during the first 16 months of the pandemic (March 2020 to July 2021), climate zones with larger annual differences in temperature and annually distributed precipitation show a higher total incidence than climate zones with smaller differences in temperature and dry seasons. This coincides with lower continentality values. Total incidence increases with continentality, up to a Continentality Index value of 19, where a peak is reached in the semicontinental zone. Low continentality (high oceanic influence) appears to be a strong suppressing factor for COVID-19 spread. The incidence in our study area is lowest at open low continentality west coast areas.

3.
Geophysical Research Letters ; 49(2):10, 2022.
Article in English | Web of Science | ID: covidwho-1692656

ABSTRACT

The significant reduction in human activities during COVID-19 lockdown is anticipated to substantially influence urban climates, especially urban heat islands (UHIs). However, the UHI variations during lockdown periods remain to be quantified. Based on the MODIS daily land surface temperature and the in-situ surface air temperature observations, we reveal a substantial decline in both surface and canopy UHIs over 300-plus megacities in China during lockdown periods compared with reference periods. The surface UHI intensity (UHII) is reduced by 0.25 (one S.D. = 0.22) K in the daytime and by 0.23 (0.20) K at night during lockdown periods. The reductions in canopy UHII reach 0.42 (one S.D. = 0.26) K in the daytime and 0.39 (0.29) K at night. These reductions are mainly due to the near-unprecedented drop in human activities induced by strict lockdown measures. Our results provide an improved understanding of the urban climate variations during the global pandemic.

4.
Buildings ; 12(1):82, 2022.
Article in English | ProQuest Central | ID: covidwho-1631602

ABSTRACT

The present research analyzes the impact of nine factors related to household demographics, building equipment, and building characteristics towards a home’s total energy consumption while controlling for climate. To do this, we have surveyed single-family owned houses from the 2015 Residential Energy Consumption Survey (RECS) dataset and controlled the analysis by Building America climate zones. Our findings are based on descriptive statistics and multiple regression models, and show that for a median-sized home in three of the five climate zones, heating equipment is still the main contributor to a household’s total energy consumed, followed by home size. Social-economic factors and building age were found relevant for some regions, but often contributed less than size and heating equipment towards total energy consumption. Water heater and education were not found to be statistically relevant in any of the regions. Finally, solar power was only found to be a significant factor in one of the regions, positively contributing to a home’s total energy consumed. These findings are helpful for policymakers to evaluate the specificities of climate regions in their jurisdiction, especially guiding homeowners towards more energy-efficient heating equipment and home configurations, such as reduced size.

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