Calibrating UTCI’S comfort assessment scale for three Brazilian cities with different climatic conditions

Krüger, Eduardo Leite; Silva, Thiago José Vieira; Hirashima, Simone Queiróz da Silveira; Cunha, Eduardo Grala da; Rosa, Luísa Alcantara

doi:10.1007/s00484-020-01897-x

Cited by 27 publications

(15 citation statements)

References 19 publications

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“…Conventionally, the neutral temperature range (MTSV ± 1 or MTSV ± 0.5) is considered to reveal thermally comfortable conditions. This idea stems from early indoor thermal comfort studies [58,[62][63][64] and is later applied to outdoor comfort studies [65,66]. The neutral temperature range assumes that neutrality (feeling neither warm nor cool) is the optimal thermal sensation.…”

Section: 1neutral Pet and Neutral Pet Rangementioning

confidence: 99%

Summer outdoor thermal benchmarks in Melbourne: Applications of different techniques

Kenawy

Lam

Shooshtarian

2021

Building and Environment

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Section: 1neutral Pet and Neutral Pet Rangementioning

confidence: 99%

Summer outdoor thermal benchmarks in Melbourne: Applications of different techniques

Kenawy

Lam

Shooshtarian

2021

Building and Environment

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“…The UTCI is defined as the air temperature of reference environment that would provide the same physiological response of a reference person as the actual environment (Błażejczyk et al, 2012;Jendritzky et al, 2012). The UTCI has been commonly applied in biometeorological research related to various spatial and temporal scales in different regions, e.g., in Europe as a whole (Błażejczyk et al, 2015a;Di Napoli et al, 2018), Germany (Matzarakis et al, 2014), Czech Republic (Novak, 2013;Urban & Kyselý, 2014;Lehnert et al 2020), Italy (Petralli et al, 2020), Russia (Vinogradova, 2020), Canada (Provençal et al, 2016), Brazil (Bröde et al, 2013;Krüger et al 2020), China (Ge et al, 2017). The first results of a new micrometeorological model with a biometeorology module to calculate UTCI (Fröhlich & Matzarakis, 2020) were recently presented by Geletič et al (2021).…”

Section: Introductionmentioning

confidence: 99%

The influence of air temperature diversity in Central Europe on the occurrence of very strong and extreme cold stress in Poland in winter months

Owczarek¹

2021

Geogr. Pol.

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The aim of this research was to illustrate the relationship between the occurrence of very strong and extreme cold stress among human beings under the Universal Thermal Climate Index (UTCI) across Poland and largescale near-surface air temperature over the central part of Europe. The statistical downscaling procedure of canonical correlation analysis (CCA) with respect to the period between 1971 and 2000 was applied to extract the main modes of large-scale factors and their local responses. The greatest frequency of occurrence of the discussed cold stress exceeded 35% in January. Most of the variance (39-44%) of the local field in each winter month is explained by the first coupled canonical maps. T he main patterns of large-scale field show negative anomalies of monthly mean air temperature in central Europe from -1°C up to -3°C. It can indicate an increase in frequency of the occurrence of analysed cold stress categories throughout the entire area of Poland, by 2% to even over 10%, depending on the region. The best quality model was obtained in eastern Poland, especially in the north-east and south-west of Poland.

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“…The previous section shows the consistent relationship between thermal comfort predictions by the physiological models and the linear model of TAI with the ambient temperature. Furthermore, this appears to be a common occurrence for steady-state models as it has been recorded in several studies that have been done in various climates, including tropical, dry and temperate (Watanabe and Ishii 2017, Huang, et al 2017, Fang, et al 2018, Binarti, et al 2020, Krüger, et al 2020. This section reports the relationship between the ambient temperature and the comfort predictions given by UTCI, PET and TAI for all 1100 responses.…”

Section: 2mentioning

confidence: 79%

“…However, warm climates have received more attention in recent years as it is considered that majority of the population spend most of the time outdoors (Baruti et al, 2019). (Klemm et al, 2015;Krüger et al, 2020;Nikolopoulou et al, 2001;Nikolopoulou & Lykoudis, 2006;Thorsson et al, 2004).…”

Section: Statement Of the Problem And Understanding The Need For This...mentioning

confidence: 99%

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Outdoor thermal comfort - An adaptive model to assess thermal comfort in urban outdoors in New Zealand.

Perera¹

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This research attempts to integrate human thermal adaptation into thermal comfort assessment in order to explore the complex link between microclimate, thermal comfort, thermal adaptation, and user expectations in outdoor urban parks in New Zealand. The study extends the exploratory analysis and the model developed by D.Walton, V. Dravitzky and M. Donn in 2007. It is based on extensive surveys of over 1000 people in urban parks in Wellington – a temperate but windy climate - and Christchurch – a less windy temperate climate with significantly higher and lower outdoor temperatures than Wellington. This study has extended the methodology to define a comprehensive human adaption scale (Combined Adaptive Factor) that combines a number of inputs related to thermal responses. The wind, sun, temperature and humidity were measured simultaneously with the survey implementation. The combined adaptive factor comprises a correlation of thermal sensations, behavioural changes and preferences to probe ‘the degree people have to adapt’ to be comfortable in different outdoor conditions. The exploration process to identify how the climate influences comfort resulted in a Thermal Adaptation Index, a linear model represented by temperature, wind, relative humidity, and solar radiation to predict comfort based on climate. The thermal environment in outdoor urban spaces substantially influences the use of the space as it directly affects peoples’ thermal perception. Improving thermal comfort in the urban outdoor environment can enhance the use of space and ultimately lead to a sustainable social life in cities. The result is improvement in the city inhabitants’ health and wellbeing. Improving the livability and vitality of the urban outdoors also has environmental and economic benefits. It is essential to understand people’s thermal expectations based on their requirements to enhance livability and improve thermal comfort in urban pockets by changing the physical context. Understanding people’s knowledge of the thermal environment and how they accept the thermal effects based on their expectations and functionality can lead to better thermal perception predictions enabling designers to design the physical context for better thermal comfort. Recent outdoor thermal comfort research has moved to investigate the combined effects of sun, wind and temperature integrating human adaptation aspects. Many field experiments have reported discrepancies with physiological models and have inclined to calibrate these models based on human thermal responses.

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Calibrating UTCI’S comfort assessment scale for three Brazilian cities with different climatic conditions

Cited by 27 publications

References 19 publications

Summer outdoor thermal benchmarks in Melbourne: Applications of different techniques

Summer outdoor thermal benchmarks in Melbourne: Applications of different techniques

The influence of air temperature diversity in Central Europe on the occurrence of very strong and extreme cold stress in Poland in winter months

Outdoor thermal comfort - An adaptive model to assess thermal comfort in urban outdoors in New Zealand.

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