UTCI Based Assessment of Urban Outdoor Thermal Comfort in Belgrade, Serbia

Lukić, Milica; Milovanović, Jelena; Čubranić-Dobrodolac, Marjana; Švadlenka, Libor; Čičević, Svetlana; Trifunović, Aleksandar; Gavranović, Valentina; Marković, Viktor; Bakrač, Saša; Dimitrijević, Nina; Banković, Radoje; Drobnjak, Siniša; Stanišić, Svetlana; Perišić, Mirjana; Stojić, Andreja; Živković, Ivan; Lazić, Dragan A.; Grujić, Vladimir; Tanasković, Marko; Milošević, Miloš; Pantelić, Nina; Ratković, Tamara; Stefanović, Tamara; Alčaković, Slavko; Marković, Srđan; Čuk, Ivan; Živković, Aleksandar; Alimpić, Filip; Adžemović, Mesud; Michos, Maja Veljković; Marković, Valentina Bošković; Petrović, Aleksandar; Živković, Miodrag; Džakula, Nebojša Bačanin; Sarić, Marijana Matek; Romanić, Snježana Herceg; Stojnev, Dragana; Ilić, Aleksandra Stojnev; Gadžić, Aleksandar; Radičić, Biljana; Jovanović, Gordana; Gajić, Luka; Cvetnić, Dušan; Bezdan, Timea; Gajić, Vuk; Drazic, Gordana; Dražić, Nikola

doi:10.15308/sinteza-2020-70-77

Cited by 9 publications

(11 citation statements)

References 11 publications

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“…The mean annual temperature in Belgrade for the 1961-2010 period was 12.3 • C [63], and later that value for the 2000-2017 period was 13.4 • C [64]. The increase in mean daily, monthly and annual temperatures is obvious, and it is additionally affected by the existence of an urban heat island [53,54].…”

Section: Study Areamentioning

confidence: 96%

“…The first station is the Meteorological Observatory Belgrade (44 • 48 N, 20 • 28 E, 132 m), located in the central part of the city. Situated in the highly urbanized zone in the most densely populated part of Belgrade, called Vračar, with 19,285 inhabitants/km 2 in 2019, it best depicts the outdoor thermal comfort of central urban zones [47,54,61,62]. According to the Köppen-Geiger climate classification, the area of Belgrade belongs to the Cfa type which is characterized by the humid subtropical climate [54,58].…”

Section: Study Areamentioning

confidence: 99%

“…Situated in the highly urbanized zone in the most densely populated part of Belgrade, called Vračar, with 19,285 inhabitants/km 2 in 2019, it best depicts the outdoor thermal comfort of central urban zones [47,54,61,62]. According to the Köppen-Geiger climate classification, the area of Belgrade belongs to the Cfa type which is characterized by the humid subtropical climate [54,58]. The mean annual temperature in Belgrade for the 1961-2010 period was 12.3 • C [63], and later that value for the 2000-2017 period was 13.4 • C [64].…”

Section: Study Areamentioning

confidence: 99%

“…Belgrade's urban climate in relation to HL and UTCI was once again examined when Pecelj et al [53] examined biothermal conditions in different geographical environments in Serbia. In addition, a summer UTCI-based assessment of the urban OTC in Belgrade was conducted by Lukić and Milovanović [54]. Bajšanski et al [55] used UTCI to analyze the effects of urban planning on thermal sensations in Novi Sad.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of Outdoor Thermal Comfort in Serbia’s Urban Environments during Different Seasons

et al. 2021

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The urban microclimate is gradually changing due to climate change, extreme weather conditions, urbanization, and the heat island effect. In such an altered environment, outdoor thermal comfort can have a strong impact on public health and quality of life in urban areas. In this study, three main urban areas in Serbia were selected: Belgrade (Central Serbia), Novi Sad (Northern Serbia), and Niš (Southern Serbia). The focus was on the temporal assessment of OTC, using the UTCI over a period of 20 years (1999–2018) during different seasons. The main aim is the general estimation of the OTC of Belgrade, Novi Sad, and Niš, in order to gain better insight into the bioclimatic condition, current trends and anomalies that have occurred. The analysis was conducted based on an hourly (7 h, 14 h, and 21 h CET) and “day by day” meteorological data set. Findings show the presence of a growing trend in seasonal UTCI anomalies, especially during summer and spring. In addition, there is a notable increase in the number of days above the defined UTCI thresholds for each season. Average annual UTCIs values also show a positive, rising trend, ranging from 0.50 °C to 1.33 °C. The most significant deviations from the average UTCI values, both seasonal and annual, were recorded in 2000, 2007, 2012, 2015, 2017, and 2018.

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Section: Study Areamentioning

confidence: 96%

Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Assessment of Outdoor Thermal Comfort in Serbia’s Urban Environments during Different Seasons

et al. 2021

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“…Urban thermal stresses are usually compared to those observed at extra-urban stations. As with regional studies, use is made of the same UTCI measures (Mąkosza & Nidzgórska-Lencewicz, 2011;Bröde et al, 2013;Nowosad et al, 2013;Błażejczyk et al, 2014a, b;Lukić & Milovanović, 2020). In urban bioclimate research, the UTCI may be, and is likely to be, increasingly based on modelled data on account of their availability.…”

Section: Urban Bioclimatementioning

confidence: 99%

UTCI applications in practice (methodological questions)

Błażejczyk

Kuchcik

2021

Geogr. Pol.

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UTCI, although it was developed with the participation of scientists from 22 countries, it has shortcomings and people using it face various obstacles. The difficulties include wide range of issues: from different availability of meteorological data in individual countries, through the kind of air temperature which should be properly used in calculations, or the need of recalculation of wind speed. However the biggest subject concern algorithms for mean radiant temperature (Mrt) calculations, different models and programs which simplify calculations of this complex index though introduce different approximations and, as a result, many false results. The paper presents also wide range of UTCI applications in urban bioclimate studies and bioclimatic mapping, climate-human health researches and biometeorological forecasts which were the primary purpose of the index creation, but also applications in tourism and recreation or even in bioclimate change analysis.

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Improving the operational forecasts of outdoor Universal Thermal Climate Index with post-processing

Kuzmanović,

Banko,

Skok

2024

Int J Biometeorol

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The Universal Thermal Climate Index (UTCI) is a thermal comfort index that describes how the human body experiences ambient conditions. It has units of temperature and considers physiological aspects of the human body. It takes into account the effect of air temperature, humidity, wind, radiation, and clothes. It is increasingly used in many countries as a measure of thermal comfort for outdoor conditions, and its value is calculated as part of the operational meteorological forecast. At the same time, forecasts of outdoor UTCI tend to have a relatively large error caused by the error of meteorological forecasts. In Slovenia, there is a relatively dense network of meteorological stations. Crucially, at these stations, global solar radiation measurements are performed continuously, which makes estimating the actual value of the UTCI more accurate compared to the situation where no radiation measurements are available. We used seven years of measurements in hourly resolution from 42 stations to first verify the operational UTCI forecast for the first forecast day and, secondly, to try to improve the forecast via post-processing. We used two machine-learning methods, linear regression, and neural networks. Both methods have successfully reduced the error in the operational UTCI forecasts. Both methods reduced the daily mean error from about 2.6$$^{\circ }$$ ∘ C to almost zero, while the daily mean absolute error decreased from 5$$^{\circ }$$ ∘ C to 3$$^{\circ }$$ ∘ C for the neural network and 3.5$$^{\circ }$$ ∘ C for linear regression. Both methods, especially the neural network, also substantially reduced the dependence of the error on the time of the day.

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UTCI Based Assessment of Urban Outdoor Thermal Comfort in Belgrade, Serbia

Cited by 9 publications

References 11 publications

Assessment of Outdoor Thermal Comfort in Serbia’s Urban Environments during Different Seasons

Assessment of Outdoor Thermal Comfort in Serbia’s Urban Environments during Different Seasons

UTCI applications in practice (methodological questions)

Improving the operational forecasts of outdoor Universal Thermal Climate Index with post-processing

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