Simulation of the thermal comfort conditions of urban areas: a case study in Kyiv

Keywords: urban area, thermal bioclimate, thermal comfort, physiologically equivalent temperature, «ENVI-met» model, «RayMan» model

Abstract

Formulation of the problem. Studies of bioclimate of a territory are aimed at determining the favorable and adverse impacts of various climatic factors and their combinations on the human body. Complex urban morphology has a significant impact on microclimate and, accordingly, on thermal comfort of a person in such an environment. The height of buildings, street orientation, and distance between buildings alter the solar energy inlet, affect thermal regime, transform the wind speed and direction at the street level. Studies of the bioclimatic conditions of urban areas during the warm season are highly relevant as they provide an opportunity to evaluate human thermal sensations in the city, as well as the potential effectiveness of adaptation measures to heat stress (architectural measures and measures based on the use of green areas and water
bodies).

The purpose of the article. The aim of this research is to simulate the bioclimate of an urban environment to determine the human thermal load in summer months based on modern bioclimatic indices and software.

Methods. For the purpose of this study, a part of the territory of the Osokorky residential area of Kyiv was selected. To get values of the main meteorological parameters of the researched area, a three-dimensional, prognostic, microscale model ENVI-met was used. ENVI-met pertains to the CFD-models (computation fluid dynamics model) and is designed for microscales with a horizontal resolution from 0.5 to 10 m and with a time step of 10 seconds as maximum. The PET calculation was performed using the RayMan model.

Results. A clear hot summer day (04 August 2017) was chosen for the simulation. The simulation was performed from 6:00 EEST on 4 August till 6:00 EEST the next day (output interval – 1 hour). The simulation results show that the values of the main meteorological parameters (air temperature and humidity, wind characteristics) and physiologically equivalent temperature differ significantly within urban spaces, even across small areas. The amplitudes of PET value were maximum in the daytime and made 12°–15°C. The decrease in the amplitude of the air temperature within the researched area in the evening and night hours led to a notable decrease in the PET amplitude to 2°–3°C. The analysis of the simulated PET values for the researched area confirmed that the residents of the urban areas experience the most intense heat stress while staying in the open asphalted areas during the daytime. The duration of the period with comfortable conditions during the researched day was very short – from 22:00 EEST through midnight. The range of the daily course of PET values at different points of the researched area varied from 19.4° (at point No. 7) to 37.1°C (at point No. 5 located in the well courtyard).

Based on the PET values simulated for the researched area and for CAWS Kyiv was found the significant differences between thermal comfort conditions within the complex urban spaces and at the weather station. Therefore, the values of bioclimatic indices simulated based on the weather station data can not be applied with any approximation to solve scientific and applied tasks that require information on the bioclimate at particular points in the urbanized environment. To solve such tasks, it is recommended to apply modern methods – ENVI-met and RayMan models.

Scientific novelty and practical significance. For the first time in Ukraine, microclimate and thermal comfort conditions within the complex urban environment has been simulated using ENVI-met and RayMan models. The results of such simulation can be used to choose heat adaptation measures which would help to increase the comfort of the urban areas. The simulation of microclimate and thermal comfort conditions of some parts of the city territory is important stage of design of the buildings, in order to choose the optimal location for buildings and trees and to create the most comfortable conditions for people.

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Author Biographies

Olga Hrygorivna Shevchenko, Taras Shevchenko National University of Kyiv

PhD (Geography), Associate Professor

Sergiy Ivanovych Snizhko, Taras Shevchenko National University of Kyiv

Doctor of Sciences (Geography), Professor

Mariia Olegivna Matviienko, Taras Shevchenko National University of Kyiv

PhD Student

References

Basu, R., & Samet, J. M. (2002). Relation between elevated ambient temperature and mortality: A review of the epidemiologic evidence. Epidemiologic Reviews, 24, 190–202. https://doi.org/10.1093/epirev/mxf007.

Vandentorren, S., Suzan, F., Medina, S., Pascal, M., Maulpoix, A., Cohen, J.-C., & Ledrans, M. (2004). Mortality in 13 French cities during the August 2003 heat wave. American Journal of Public Health, 94(9), 1518–1520. https://doi.org/10.2105/ajph.94.9.1518.

Jamei, E., Rajagopalan, P., Seyedmahmoudian, M., & Jamei, Y. (2016). Review on the impact of urban geometry and pedestrian level greening on outdoor thermal comfort. Renewable and Sustainable Energy Reviews, 54, 1002–1017. https://doi.org/10.1016/j.rser.2015.10.104.

Johansson, E., Thorsson, S., Emmanuel, R., & Krüger, E. (2014). Instruments and methods in outdoor thermal comfort studies - The need for standardization. Urban Climate, 10(P2), 346–366. https://doi.org/10.1016/j.uclim.2013.12.002.

Ahmed, K. S. (2003). Comfort in urban spaces: Defining the boundaries of outdoor thermal comfort for the tropical urban environments. Energy and Buildings, 35(1), 103–110. https://doi.org/10.1016/S0378-7788(02)00085-3.

Emmanuel, R., & Johansson, E. (2006). Influence of urban morphology and sea breeze on hot humid microclimate: the case of Colombo, Sri Lanka. Climate Research, 30, 189–200. https://doi.org/10.3354/cr030189.

Gaitani, N., Santamouris, M., & Mihalakakou, G. (2005). Thermal comfort conditions in outdoor spaces. Environment, 1995(May), 761–765.

Fahmy, M., & Sharples, S. (2009). On the development of an urban passive thermal comfort system in Cairo, Egypt. Building and Environment, 44(9), 1907–1916.

Giannopoulou, K., Santamouris, M., Livada, I., Georgakis, C., & Caouris, Y. (2010). The Impact of Canyon Geometry on Intra Urban and Urban: Suburban Night Temperature Differences Under Warm Weather Conditions. Pure and Applied Geophysics, 167(11), 1433–1449. https://doi.org/10.1007/s00024-010-0099-8.

Perini, K., & Magliocco, A. (2014). Effects of vegetation, urban density, building height and atmospheric conditions on local temperatures and thermal comfort. Urban Forestry and Urban Greening, 13(3), 495–506. https://doi.org/10.1016/j.ufug.2014.03.003.

Carfan, A. C., Galvani, E., & Nery, J. T. (2012). Study of thermal comfort in the city of São Paulo using ENVI-met model. Investigaciones Geograficas, 78(August), 34–47.

Holst, J., & Mayer, H. (2011). Impacts of street design parameters on human-biometeorological variables. Meteorologische Zeitschrift, 20(5), 541–552. https://doi.org/10.1127/0941-2948/2011/0254.

Lee, H., Holst, J., & Mayer, H. (2013b). Modification of Human-Biometeorologically Significant Radiant Flux Densities by Shading as Local Method to Mitigate Heat Stress in Summer within Urban Street Canyons. Advances in Meteorology, 2013, 1–13.

Ali-Toudert, F., & Mayer, H. (2006). Numerical study on the effects of aspect ratio and orientation of an urban street canyon on outdoor thermal comfort in hot and dry climate. Building and Environment, 41(2), 94–108. https://doi.org/10.1016/J.BUILDENV.2005.01.013.

Lee, H., Mayer, H., & Chen, L. (2016). Contribution of trees and grasslands to the mitigation of human heat stress in a residential district of Freiburg, Southwest Germany. Landscape and Urban Planning, 148, 37–50. https://doi.org/10.1016/j.landurbplan.2015.12.004.

Erell, E., Pearlmutter, D., Boneh, D., & Kutiel, P. B. (2014). Effect of high-albedo materials on pedestrian heat stress in urban street canyons. Urban Climate, 10(P2), 367–386. https://doi.org/10.1016/j.uclim.2013.10.005.

Huttner, S. (2012). Further development and application of the 3D microclimate simulation ENVI-met. Mainz: Johannes Gutenberg-Universitat in Mainz, 147. Retrieved from http://ubm.opus.hbz-nrw.de/volltexte/2012/3112/.

Skelhorn, C., Lindley, S., & Levermore, G. (2014). The impact of vegetation types on air and surface temperatures in a temperate city: A fine scale assessment in Manchester, UK. Landscape and Urban Planning, 121, 129–140. https://doi.org/10.1016/J.LANDURBPLAN.2013.09.012.

Noro, M., & Lazzarin, R. (2015). Urban heat island in Padua, Italy: Simulation analysis and mitigation strategies. Urban Climate, 14, 187–196. https://doi.org/10.1016/J.UCLIM.20.

Ketterer, C., & Matzarakis, A. (2014). Human-biometeorological assessment of heat stress reduction by replanning measures in Stuttgart, Germany. Landscape and Urban Planning, 122, 78–88. https://doi.org/10.1016/J.LANDURBPLAN.2013.11.00.

Taleghani, M., Kleerekoper, L., Tenpierik, M., & van den Dobbelsteen, A. (2015). Outdoor thermal comfort within five different urban forms in the Netherlands. Building and Environment, 83, 65–78. https://doi.org/10.1016/j.buildenv.2014.03.014.

Bruse, M., & Fleer, H. (1998). Simulating surface-plant-air interactions inside urban environments with a three dimensional numerical model. Environmental Modelling and Software, 13(3–4), 373–384. https://doi.org/10.1016/S1364-8152(98)00042-5.

Samaali, M., Courault, D., Bruse, M., Olioso, A., & Occelli, R. (2007). Analysis of a 3D boundary layer model at local scale: Validation on soybean surface radiative measurements. Atmospheric Research, 85(2), 183–198. https://doi.org/10.1016/j.atmosres.2006.12.005.

Matzarakis, A., Rutz, F., & Mayer, H. (2010). Modelling radiation fluxes in simple and complex environments: basics of the RayMan model. International Journal of Biometeorology, 54(2), 131–139. https://doi.org/10.1007/s00484-009-0261-0.

Shevchenko O. G. (2016). Comparative analysis of bioclimatic indices for estimation of comfort in urban areas in warm period. Hidrolohiiа, hidrokhimiiа i hidroekolohiiа, 3(42), 105–115.

Höppe Peter. (1999). The physiological equivalent temperature – a universal index for the biometeorological assessment of the thermal environment. https://inspectapedia.com/Appliances/Hoppe_1999_Pet.pdf.

Matzarakis A. (1996). Another kind of environmental stress: thermal stress. WHO Newsletter, 18, 7-10.

Tkachuk, S.V., (2012). Review of weather comfort indexes and their connection with mortality rates. Gidrometeorologicheskii nauchno-issledovatel’skii tsentr Rossiiskoi Federatsii Publ., Moscow.

Mayer, H., Holst, J., Dostal, P., Imbery, F., & Schindler, D. (2008). Human thermal comfort in summer within an urban street canyon in Central Europe. Meteorologische Zeitschrift, 17(3), 241–250. https://doi.org/10.1127/0941-2948/2008/0285.

Vieira De Abreu-Harbich, L., Labaki, L. C., & Matzarakis, A. (n.d.). Influence of different urban configuration on human thermal conditions in a Typical Subtropical Coast City-Case of Santos, São Paulo. Retrieved from http://www.meteo.fr/icuc9/LongAbstracts/poster_2-9-7721603_a.pdf.

Erell E., Pearlmutter D., Williamson T. Urban Microclimate: Designing the Spaces Between Buildings. – London, Washington, DC, 2012, 452.

Lin, T.-P., Matzarakis, A., & Hwang, R.-L. (2010). Shading effect on long-term outdoor thermal comfort. Building and Environment, 45(1), 213–221. https://doi.org/10.1016/j.buildenv.2009.06.002.

Matzarakis. A and Mayer. H. (2003). Human-Biometeorological assessment of urban structures, Proceedings of the Fifth International Conference on Urban Climate, 1-5 September 2003, Lodz, Poland, 83-86.

Nunez, M., & Oke, T. R. (1977). The Energy Balance of an Urban Canyon. Journal of Applied Meteorology, 16, 11–19. https://doi.org/10.2307/26177588.

Santamouris, M., Papanikolaou, N., Koronakis, I., Livada, I., & Asimakopoulos, D. (1999). Thermal and air flow characteristics in a deep pedestrian canyon under hot weather conditions. Atmospheric Environment, 33(27), 4503–4521. https://doi.org/10.1016/S1352-2310(99)00187-9.

Yahia, M. W., & Johansson, E. (2013). Influence of urban planning regulations on the microclimate in a hot dry climate: The example of Damascus, Syria. Journal of Housing and the Built Environment, 28(1), 51–65. https://doi.org/10.1007/s10901-012-9280-y.

Gusson, C. S., & Duarte, D. H. S. (2016). Effects of Built Density and Urban Morphology on Urban Microclimate - Calibration of the Model ENVI-met V4 for the Subtropical Sao Paulo, Brazil. Procedia Engineering, 169, 2–10. https://doi.org/10.1016/J.PROENG.2016.10.001.

Ali Toudert, F. (2005). Dependence of Outdoor Thermal Comfort on Street Design in Hot and Dry Climate. Berichte des Meteorologischen Institutes der Universität Freiburg . Retrieved from file:///C:/Users/hp1/Downloads/Diss_Freidok_Ali_Toudert_Fazia.pdf.

Winston, T. L. C., Ronald, P., Chris A., M., & Anthony J, B. (2010). Observing and modeling the nocturnal park cool island of an arid city: Horizontal and vertical impacts. Theoretical and Applied Climatology, 103, 197–211. https://doi.org/DOI: 10.1007/s00704-010-0293-8.

Ambrosini, D., Galli, G., Mancini, B., Nardi, I., & Sfarra, S. (2014). Evaluating Mitigation Effects of Urban Heat Islands in a Historical Small Center with the ENVI-Met® Climate Model. Sustainability, 6(10), 7013–7029. https://doi.org/10.3390/su6107013.

Spangenberg, J., Shinzato, P., Johansson, E., & Duarte, D. (2008). Simulation of the influence of vegetation on microclimate and thermal comfort in the city of São Paulo. Revista Da Sociedade Brasileira de Arborização Urbana (REVSBAU); 3(2), Pp 1-19 (2008), 3(2), 1–19. Retrieved from https://lup.lub.lu.se/search/publication/5ed25573-9929-4e43-871a-d9d3fc594aae.

Chandler, T. J. Absolute and relative. Retrieved from https://journals.ametsoc.org/doi/pdf/10.1175/1520-0477-48.6.394.

Landsberg, H. E. (1981). The urban climate. Academic Press, 275.

Published
2020-01-18
Cited
How to Cite
Shevchenko, O. H., Snizhko, S. I., & Matviienko, M. O. (2020). Simulation of the thermal comfort conditions of urban areas: a case study in Kyiv. Visnyk of V. N. Karazin Kharkiv National University, Series "Geology. Geography. Ecology", (51), 186-198. https://doi.org/10.26565/2410-7360-2019-51-13