Modelled spatiotemporal variability of outdoor thermal comfort in local climate zones of the city of Brno, Czech Republic

Geletič, Jan; Lehnert, Michal; Savić, Stevan; Milošević, Dragan

doi:10.1016/j.scitotenv.2017.12.076

Cited by 125 publications

(72 citation statements)

References 41 publications

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“…Using HUMIDEX to quantify outdoor human thermal comfort, Geletič et al . () concluded that the most thermally uncomfortable areas within Brno (Czech Republic) were all built LCZs, apart from LCZ 4 and LCZ 9, which probably benefited from shading associated with high‐rise buildings and a high proportion of vegetated areas. With reference to all the above studies, one may conclude that LCZ 5 is the area that is most prone to heat stress, while LCZ A and LCZ 9 are thermally more pleasant zones.…”

Section: Resultsmentioning

confidence: 99%

“…Apart from studies on the air temperature differences between LCZs, attempts have been made to evaluate outdoor thermal comfort conditions for different LCZs using physiological equivalent temperatures (PET) calculated from station measurements (Kovács and Németh, ; Van Hove et al, ; Milošević et al, ; Unger et al, ) and thermal sensation votes obtained from field surveys (Villadiego and Velay‐Dabat, ). Other studies (Müller et al, ; Geletič et al, ) have examined the spatiotemporal variability of outdoor human thermal comfort with respect to LCZs and relevant adaptation scenarios to reduce heat stress with the help of numerical model simulations. Understanding both the temporal and spatial distribution of thermal comfort indicators in cities could provide urban planners with helpful information for climate‐responsive planning and the formulation of city‐wide heat stress mitigation strategies (Koppe et al, ; Kleerekoper et al, ).…”

Section: Introductionmentioning

confidence: 99%

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How well does the local climate zone scheme discern the thermal environment of Toulouse (France)? An analysis using numerical simulation data

Kwok

Schoetter

Lau

et al. 2019

Intl Journal of Climatology

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To build healthy, resilient, and climate‐responsive cities, planners need ways to understand the local complexities of urban thermal climates. To assist in meeting this need, this study employs the simple classification of “local climate zones” (LCZs) to conduct a spatiotemporal thermal climatic analysis of the Toulouse Metropolitan Region (France) under warm and dry summer conditions. Simulations are performed using the mesoscale atmospheric model Méso‐NH. These simulations provide a city‐wide spatial coverage of 2‐m air temperature (T2M), mean radiant temperature (MRT), and Universal Thermal Climate Index (UTCI). Model parameters describing the urban morphology are initialized based on administrative databases and independent of LCZ maps, which allows for an evaluation of whether the distributions of the modelled thermal climatic parameters will differ between LCZs. The results show that different LCZs possess significantly different distributions of T2M and MRT, confirming the suitability of the LCZ scheme for discerning the thermal environment of Toulouse. Compact urban settings (LCZ 1/2/3) show the highest T2M throughout the day and a nocturnal temperature difference of up to 2.8 K compared to rural settings. The MRT of LCZ 1/2/3 in the late afternoon (1700–2000 LST (UTC + 2)) can be as much as 6.3 K lower than it is for LCZs with open settings due to shading by dense urban structures. Additional analysis reveals that the intra‐LCZ variabilities of T2M and MRT may be explained by the distance to the city centre. Finally, the thermal stress in different LCZs is assessed with the modelled UTCI. Among the built LCZs, the probability of strong heat stress is the highest for open high/mid‐rise (LCZ 4/5) and lowest for sparsely built (LCZ 9) and open low‐rise (LCZ 6) settings. For land cover type LCZs, dense trees (LCZ A) are the most favourable for daytime outdoor human thermal comfort.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

How well does the local climate zone scheme discern the thermal environment of Toulouse (France)? An analysis using numerical simulation data

Kwok

Schoetter

Lau

et al. 2019

Intl Journal of Climatology

View full text Add to dashboard Cite

show abstract

“…Extreme heat conditions occur when Humidex exceeds specific thresholds (Humidex > 30). Its results are directly comparable with temperature in degrees Celsius and its values are associated with the corresponding degrees of thermal comfort, rendering the index "widely understandable" as Geletič et al (2018) point out. This index is particularly suitable for the assessment of bioclimatic conditions in a certain area during the hot part of the year, late spring and especially the summer months.…”

Section: Methodsmentioning

confidence: 70%

An evaluation of summer discomfort in Nis (Serbia) using Humidex

Lukić¹,

Pecelj

Protić³

et al. 2019

J geographical I JC

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The bioclimatic analysis of the central area of the city of Niš conducted in this paper is based on the use of the bioclimatic index Humidex, which represents subjective outdoor temperature that one feels in warm and humid environment. The purpose of this research is to observe the index change on a daily basis during the hottest part of the year (June, July, and August) over the period from 1998 to 2017. For the purposes of this analysis, hourly (7:00, 14:00), maximum and mean daily values of meteorological parameters (air temperature and relative humidity) were used, for the period of 20 years (1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017), which were measured at Niš weather station (43°19'N, 21°53'E, at an altitude of 202 meters). The findings indicate a gradual change in the bioclimatic characteristics of this area during this period, especially over the last decade. After 2007 there has been a decrease in the total number of the days described as "comfortable". However, there has been an increase in the index values in all the other heat stress categories characterized by a higher or lower degree of thermal discomfort.

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“…It also uses categorisations of proportions of surfaces of varied kinds using an established scale: built-up, impermeable, and permeable surface parts such as vegetation cover and soil (Sievers et al, 1983). The model has been used for UHI studies in various cities, for example, Vienna (Žuvela et al, 2014), Brno (Geletič et al, 2016(Geletič et al, , 2018, Bratislava (Holec and Šťastný, 2017), Szeged (Gál and Skarbit, 2017) or comparison of five central European cities (Bokwa et al, 2015;Bokwa et al, in print). Several model inputs are necessary, including layers of a digital elevation model, a LC/LU map, parameters of LC/LU classes, and meteorological inputs.…”

Section: Model Muklimomentioning

confidence: 99%

Visualising a comparison of simulated urban heat islands: a case study of two Slovakian cities

Feranec

Holec

Šťastný

et al. 2019

Adv. Cartogr. GIScience Int. Cartogr. Assoc.

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Abstract. Temperature increases in cities affects inhabitants’ quality of life, justifying the extent of research focusing on identifying, analysing, and assessing the relationship between the density of urban fabric represented by land cover/land use (LC/LU) classes and manifestation of the urban heat island (UHI) phenomenon. This paper delimits LC/LU classes for the urban Bratislava (2,117&thinsp;ha of class 12110 dominated in 2016) and Trnava (598 ha of class 12120 dominated in 2016). The greatest median air temperature over 33&thinsp;&deg;C (at 18:00) was derived with the MUKLIMO model for the class Continuous urban fabric with the sealing degree &gt;&thinsp;80% in Bratislava. The graphic outputs improve our perception and evaluation of the LC/LU and UHI relationship. The information potential of the graphical outputs may increase through use of computer animations to represent the temperature changes during day or the temperature changes among years.

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Modelled spatiotemporal variability of outdoor thermal comfort in local climate zones of the city of Brno, Czech Republic

Cited by 125 publications

References 41 publications

How well does the local climate zone scheme discern the thermal environment of Toulouse (France)? An analysis using numerical simulation data

How well does the local climate zone scheme discern the thermal environment of Toulouse (France)? An analysis using numerical simulation data

An evaluation of summer discomfort in Nis (Serbia) using Humidex

Visualising a comparison of simulated urban heat islands: a case study of two Slovakian cities

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