2021
DOI: 10.1016/j.uclim.2020.100652
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Predicting urban thermal comfort from calibrated UTCI assessment scale - A case study in Belo Horizonte city, southeastern Brazil

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Cited by 27 publications
(8 citation statements)
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“…Therefore, while thermal conditions in southern Africa are on average largely classified as thermophysiologically acceptable by global standards, they, and especially the large degree of day-time heat stress and night-time cold stress experienced, might not be suitable in the context of a population spending more time outdoors, and with less infrastructural amelioration; with less infrastructural amelioration, and due to limited availability of resources, day-time activities (and in particular those outdoors) have limited availability of adaptation and mitigation strategies against heat stress, for instance (Ncongwane et al, 2021). There may, thus, be a need for more regional-specific tuning of the UTCI thermal classifications to consider the thermal comfort of people taking part in activities more common to southern Africa; as has been suggested for China (Ge et al, 2017) and South Korea (Shin et al, 2022), and similar to the regional-specific tuning undertaken in Belo Horizonte city in southeastern Brazil (Silva and Hirashima, 2021). Nonetheless, foundational work has demonstrated the universal nature of the UTCI, highlighting that it is more sensitive to changes in ambient stimuli (e.g., temperature, relative humidity, solar radiation, and wind conditions, all of which are included in the index), depicts temporal variability of thermal conditions better than other indices, and is valid at all spatiotemporal scales and not only specific meteorological and geographical situations (Błażejczyk et al, 2012;Jendritzky et al, 2012).…”
Section: Discussionmentioning
confidence: 96%
“…Therefore, while thermal conditions in southern Africa are on average largely classified as thermophysiologically acceptable by global standards, they, and especially the large degree of day-time heat stress and night-time cold stress experienced, might not be suitable in the context of a population spending more time outdoors, and with less infrastructural amelioration; with less infrastructural amelioration, and due to limited availability of resources, day-time activities (and in particular those outdoors) have limited availability of adaptation and mitigation strategies against heat stress, for instance (Ncongwane et al, 2021). There may, thus, be a need for more regional-specific tuning of the UTCI thermal classifications to consider the thermal comfort of people taking part in activities more common to southern Africa; as has been suggested for China (Ge et al, 2017) and South Korea (Shin et al, 2022), and similar to the regional-specific tuning undertaken in Belo Horizonte city in southeastern Brazil (Silva and Hirashima, 2021). Nonetheless, foundational work has demonstrated the universal nature of the UTCI, highlighting that it is more sensitive to changes in ambient stimuli (e.g., temperature, relative humidity, solar radiation, and wind conditions, all of which are included in the index), depicts temporal variability of thermal conditions better than other indices, and is valid at all spatiotemporal scales and not only specific meteorological and geographical situations (Błażejczyk et al, 2012;Jendritzky et al, 2012).…”
Section: Discussionmentioning
confidence: 96%
“…However, systematic errors are common amongst current reanalyses and are mostly related to resolution issues. Thus, it is important to work on the further development of better local calibrations, as suggested by Silva and Hirashima (2021). A comparison between different indices should also be encouraged as different heat stress levels vary depending on how temperature and humidity are considered in the equations (Freychet et al, 2022).…”
Section: Discussionmentioning
confidence: 99%
“…However, few studies globally analyzed thermal comfort indexes such as UTCI and heat stress based on gridded data (Di Napoli et al, 2018;Antonescu et al, 2021). In the case of SA, the overwhelming majority of studies using UTCI rely on single-point analysis using in-situ data and are limited to a few regions in Brazil, namely the main cities (Silva and Hirashima, 2021).…”
Section: Introductionmentioning
confidence: 99%
“…This definition leaves open what is meant by the condition of mind or satisfaction, but it correctly emphasizes that the judgment of comfort is a cognitive process involving many inputs influenced by physical, physiological, psychological, and other processes [4][5][6]. Different approaches are used to assess the outdoor thermal comfort in cities characterized by different climates (e.g., Brazil [7], Hong Kong [8], The Netherlands [9], Spain [10], and other European cities [11], United States [12], and India [13]). As is well known, built areas alter the local surface energy balance, impacting micrometeorological variables (e.g., air temperature and humidity) and local atmospheric circulation, with consequences for pedestrian comfort conditions.…”
Section: Introductionmentioning
confidence: 99%