scholarly journals Outdoor human thermal comfort in local climate zones of Novi Sad (Serbia) during heat wave period

2016 ◽  
Vol 65 (2) ◽  
pp. 129-137 ◽  
Author(s):  
Dragan D. Milošević ◽  
Stevan m. Savić ◽  
Vladimir Marković ◽  
Daniela Arsenović ◽  
Ivan Šećerov
Keyword(s):  
Thermal Comfort ◽  
Heat Wave ◽  
Wave Period ◽  
Climate Zones ◽  
Local Climate ◽  
Human Thermal Comfort ◽  
Local Climate Zones ◽  
Novi Sad

Human thermal comfort in Local climate zones of Berlin

2020 ◽  
Author(s):  
Ines Langer ◽  
Alexander Pasternack ◽  
Uwe Ulbrich
Keyword(s):  
Thermal Comfort ◽  
Urban Heat Island ◽  
Urban Areas ◽  
Heat Island ◽  
Climate Zones ◽  
Local Climate ◽  
Human Thermal Comfort ◽  
Local Climate Zones ◽  
Urban Heat ◽  
The City

<p>Urban areas show higher nocturnal temperature comparing to rural areas, which is denoted by urban heat island. This effect can intensify the impact of global warming in urban areas especially during heat waves, that leads to higher energy demand for cooling the building and higher thermal stress for residents.  </p><p>The aim of this study is to identify the Urban Heat Island (UHI) effect during the heat spell 2018 and 2019 in order to calculated human thermal comfort for Berlin. Berlin, the capital city of Germany covers an area of 892km<sup>2</sup> and its population is growing, therefore more residential areas will be planned in future through higher building. The methodology of this research is to divide Berlin into Local Climate Zones (LCZ's) regarding the concept of Stewart & Oke (2012). Then to evaluate the accuracy of this concept using 30 microclimate stations. Estimating the magnitude of urban heat island and its seasonal changes in combination with human thermal perception in different LCZ during summer time is another objective of this research. </p><p>Ten LCZ's for Berlin were selected, as class 1 (compact high rise), class 3 (compact low rise), class 7 (lightweight low-rise), class C (bush, scrub), class E (bare rock or paved) and class F (bare soil or sand) don't exist in Berlin. Class A (dense trees) is with a fraction of 18.6% in a good agreement with the percentage of dense trees reported from the city administration of Berlin (18.4%), class G (water) has a coverage of 5.1% through our classification instead of 6.7% reported by the city administration. In summary, the LCZ 1-10 cover 59.3% (more than half) of the city area.</p><p>Regarding temperature measurements, which represent a hot summer day with calm wind and clear sky the difference of Local Climate Zones will be calculated and the temperature variability in every LCZ's regarding sky view factor values show the hot spot of the city.</p><p>The vulnerability of LCZ's to heat stress will be ranked and discussed regarding ventilation and other factors.</p><p> </p><p>Literature</p><p>Matzarakis, A. Mayer, H., Iziomon, M. (1999) Applications of a universal thermal index: Physiological equivalent temperature: Intern. J. of Biomet 43 (2), 76-84.</p><p>Stewart, I.D., Oke, T.R. (2012) Local climate zones for urban temperature studies. Bull. Amer. Meteor. Soc. 93 1879-1900. DOI: 10.1175/BAMS-D-11-00019.1.</p><p> </p>

scholarly journals Investigating local climate zones for outdoor thermal comfort assessment in an Indian city

2019 ◽  
Vol 23 (4) ◽  
pp. 318-328 ◽  
Author(s):  
Rajashree Kotharkar ◽  
Anurag Bagade ◽  
Abhay Agrawal
Keyword(s):  
Thermal Comfort ◽  
Outdoor Thermal Comfort ◽  
Climate Zones ◽  
Local Climate ◽  
Local Climate Zones ◽  
Indian City

Targeted urban heat mitigation strategies using urban morphology databases and micro-climate modelling to examine the urban heat profile

2020 ◽  
Author(s):  
Kerry Nice ◽  
Ashley Broadbent
Keyword(s):  
Thermal Comfort ◽  
Urban Morphology ◽  
Mitigation Strategies ◽  
Local Context ◽  
Climate Modelling ◽  
Local Conditions ◽  
Local Climate ◽  
Human Thermal Comfort ◽  
Local Climate Zones ◽  
Urban Heat

<p>Strategies for urban heat mitigation often make broad and non-specific recommendations (i.e. plant more trees) without accounting for local context. As a result, resources might be allocated to areas of lesser need over those where more urgent interventions are needed. Also, these interventions might return less than optimal results if local conditions are not considered. This project aims to assist with these interventions by providing a method to examine the urban heat profile of a city through an automated systematic approach. Using urban morphology information from databases such as WUDAPT, areas of cities are clustered into representative local climate zones (LCZs) and modelled at a micro-scale using localised features and properties. This bottom up modelling approach, using the VTUF-3D, UMEP, and TARGET models, allows these areas to be assessed in detail for their human thermal comfort performance and provide a city-wide heat map of thermal comfort. It also allows mitigation scenarios to be tested and targeted for each cluster type. A case study performed using this method for Melbourne is presented.</p>

scholarly journals Classifying urban meteorological stations sites by 'local climate zones': Preliminary results for the city of Novi Sad (Serbia)

2013 ◽  
Vol 17 (3) ◽  
pp. 60-68 ◽  
Author(s):  
Stevan Savic ◽  
Dragan Milosevic ◽  
Lazar Lazic ◽  
Vladimir Markovic ◽  
Daniela Arsenovic ◽  
...  
Keyword(s):  
Climate Zones ◽  
Local Climate ◽  
Preliminary Results ◽  
Local Climate Zones ◽  
Novi Sad ◽  
The City

Urban tree planting to maintain outdoor thermal comfort under climate change: The case of Vancouver's local climate zones

2019 ◽  
Vol 158 ◽  
pp. 226-236 ◽  
Author(s):  
Mehdi Aminipouri ◽  
David Rayner ◽  
Fredrik Lindberg ◽  
Sofia Thorsson ◽  
Anders Jensen Knudby ◽  
...  
Keyword(s):  
Climate Change ◽  
Thermal Comfort ◽  
Tree Planting ◽  
Outdoor Thermal Comfort ◽  
Climate Zones ◽  
Local Climate ◽  
Urban Tree ◽  
Local Climate Zones

scholarly journals Air Humidity Characteristics in “Local Climate Zones” of Novi Sad (Serbia) Based on Long-Term Data

2021 ◽  
Vol 10 (12) ◽  
pp. 810
Author(s):  
Jelena Dunjić ◽  
Dragan Milošević ◽  
Milena Kojić ◽  
Stevan Savić ◽  
Zorana Lužanin ◽  
...  
Keyword(s):  
Vapor Pressure ◽  
Air Temperature ◽  
Temporal Dynamics ◽  
Water Vapor Pressure ◽  
Specific Humidity ◽  
Air Humidity ◽  
Climate Zones ◽  
Local Climate ◽  
Local Climate Zones ◽  
Novi Sad

This study aims to investigate spatial and temporal dynamics and relationship between air temperature and five air humidity parameters (relative humidity, water vapor pressure, absolute humidity, specific humidity, and vapor pressure deficit) in Novi Sad, Serbia, based on two-year data (Dec 2015–Dec 2017). The analysis includes different urban areas of Novi Sad, which are delineated in five built (urban) types of local climate zones (LCZ) (LCZ 2, LCZ 5, LCZ 6, LCZ 8, and LCZ 9), and one land cover (natural) local climate zone (LCZ A) located outside the urban area. Temporal analysis included annual, seasonal, and monthly dynamics of air temperature and air humidity parameters, as well as their patterns during the extreme periods (heat and cold wave). The results showed that urban dry island (UDI) occurs in densely urbanized LCZ 2 from February to October, unlike other urban LCZs. The analysis of the air humidity dynamics during the heat wave shows that UDI intensity is most pronounced during the daytime, but also in the evening (approximately until midnight) in LCZ 2. However, lower UDI intensity is observed in the afternoon, in other urban LCZs (LCZ 6, LCZ 8, and LCZ 9) and occasionally in the later afternoon in LCZ 5. Regression analysis confirms the relationship between air temperature and each of the analyzed air humidity parameters.

scholarly journals Analysis of land surface temperatures in the "Local Climate Zones" of Novi Sad (Serbia)

2020 ◽  
Vol 100 (1) ◽  
pp. 41-50
Author(s):  
Stevan Savic ◽  
Jan Geletic ◽  
Dragan Milosevic ◽  
Michal Lehnert
Keyword(s):  
Land Surface ◽  
Landsat 8 ◽  
Similar Time ◽  
Climate Zones ◽  
Local Climate ◽  
Surface Temperatures ◽  
Local Climate Zones ◽  
Scattered Trees ◽  
Land Surface Temperatures ◽  
Novi Sad

In this study, the Local Climate Zones (LCZs) in Novi Sad, the second largest city in Serbia, are analysed as to surface temperature differences. The LCZs were delineated on the basis of the GIS-based method created by Geletic & Lehnert (2016). Land Surface Temperatures (LSTs) were derived from the satellites Terra, sensor ASTER, and LANDSAT-8. The thermal images were provided at a similar time (at about 9.30 AM) between 2002 and 2008 (ASTER) and between 2013 and 2017 (LANDSAT-8). Statistical analyses, including the analysis of variance (ANOVA) and Tukey-HSD test, were employed to reveal LST differences between the LCZs. The results indicate that in 84% of cases there were significant differences in LST between pairs of LCZs. Temperature differences between LCZs were the most pronounced in the summer season. In general, 8 (large low-rise), 10 (heavy industry), 2 (compact midrise) and 3 (compact low-rise) LCZs had the highest surface temperatures in Novi Sad. Contrary to this, LCZs A (dense trees), B (scattered trees) G (water bodies) were the coolest zones.

scholarly journals Analysis of human thermal comfort in Central European City during summer of 2015: A case of Novi Sad (Serbia)

2020 ◽  
Vol 100 (1) ◽  
pp. 31-39
Author(s):  
Dragan Milosevic ◽  
Stevan Savic ◽  
Danijela Arsenovic ◽  
Zorana Luzanin ◽  
Jelena Dunjic
Keyword(s):  
Heat Stress ◽  
Thermal Comfort ◽  
Extreme Heat ◽  
Outdoor Thermal Comfort ◽  
European City ◽  
Central European ◽  
Human Thermal Comfort ◽  
Local Climate Zones ◽  
Novi Sad ◽  
Extreme Heat Stress

Urban meteorological network (UMN) was established in the Central European City of Novi Sad (Serbia) based on "local climate zones" (LCZs) system. Physiologically Equivalent Temperature (PET) index was used for the assessment of outdoor thermal comfort in the "built" and "land cover" LCZ classes of Novi Sad. The index was calculated in the RayMan software based on the meteorological, physiological as well as building and vegetation data. Temporal analysis was performed for extreme heat stress days (PETmax ? 41 ?C), extreme heat stress hours (PETav ? 41 ?C) and days with occurrence of "tropical nights" (Tmin > 20 ?C) during exceptionally hot summer of 2015. Our results show that extreme heat stress hours are the least frequent in compact midrise LCZ 2, followed by dense trees LCZ A. On the contrary, countryside (low plants - LCZ D) showed to be the most uncomfortable area during daytime followed by compact low-rise areas (LCZ 3). Tropical nights are the most frequent in midrise LCZs 5 and 2 (40-46 nights) and decreasing towards open, sparsely built and natural LCZs (6-8 tropical nights in LCZs A and D). This is almost 800% decrease and it has implications for health and recreation of urban population and emphasizes the need for UMN development based on LCZ system.

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