Посилення теплового стресу для населення урбанізованих територій на фоні глобальних кліматичних змін

Illia O. Sviatohorov

doi:10.32347/2411-4049.2024.1.49-59

Authors

Illia O. Sviatohorov Post-Graduate of Department of Labour and Environment Protection, Kyiv National University of Construction and Architecture, Kyiv, Ukraine https://orcid.org/0009-0005-2793-1520

DOI:

https://doi.org/10.32347/2411-4049.2024.1.49-59

Keywords:

urbanized areas, climate changes, heat dome, relative humidity, heat stress

Abstract

The combination of high temperature and relative humidity of the atmospheric air creates heat stress, which has a serious impact on the environment, society and the health of the population in urban areas. Using the example of the city of Kyiv, the paper investigated long-term changes in heat stress depending on global climate changes. Averaged monthly long-term climate data of the urban environment were studied, starting from 1981, based on monitoring data using the Copernicus Climate Change Service toolkit and data from the Borys Sreznevsky Central Geophysical Observatory. Predictive dynamics of temperature by conventional and wet bulb was investigated using OriginPro8 software. Data on the dependence of the frequency and unevenness of precipitation during the last decades are presented. The dependences of the value of the heat index (NI) on the temperature and air humidity for different observation periods were obtained. Over the past decade, Kyiv has seen a significant increase in average heat stress and the frequency of days and events with extreme heat stress. According to the obtained forecast estimates, in 2050 the heat index should increase by almost 30%, and the risk to the health of the population in the surrounding area and for workers in the open air will be interpreted as "high" levels at a relative humidity of 80%; "moderate" at a relative humidity of 50% and "low" at a relative humidity of 20%. The forecast temperature dynamics according to the conventional and according to the wet thermometer in the month of July at the end of different years is: 2021–2030 – 24.136°С and 26.24°С; 2030–2050 – 26.371°С and 28.918°С, respectively, with other equal conditions of the urban environment. An additional possibility of influence on the thermal dome appears already at the design stage, thanks to the variability of the placement of the projected buildings on the general plan, and the formation of individual buildings, in the correct area ratio green plantings to stone surfaces of facades and paving. The research data will be useful for the possible reduction of the size of the thermal dome over the city during the planning and reconstruction of the housing stock and the development of climate neutrality measures for the cities of Ukraine.

References

Rosenzweig, C., Solecki, W., Romero-Lankao, P., Mehrotra, S., Dhakal, S., Bowman, T., & Ibrahim, S. A. (2015). Climate Change and Cities: Second Assessment Report of the Urban Climate Change Research Network (ARC3.2). Cambridge, UK and New York: Cambridge University Press.

Gasparrini, A., Guo, Y., Hashizume, M., Lavigne, E., Zanobetti, A., Schwartz, J., Tobias, A., Tong, S., Rocklöv, J., Forsberg, B., Leone, M., De Sario, M., Bell, M. L., Guo, Y.-L. L., Wu, C.-f., Kan, H., Yi, S.-M., de Sousa Zanotti Stagliorio Coelho, M., Saldiva, P. H. N., Honda, Y., Kim, H., & Armstrong, B. (2015). Mortality risk attributable to high and low ambient temperature: A multicountry observational study. Lancet, 386(9991), 369–375. https://doi.org/10.1016/S0140-6736(14)62114-0

Li, J., Chen, Y. D., Gan, T. Y., & Lau, N.-C. (2018). Elevated increases in human-perceived temperature under climate warming. Nature Climate Change, 8(1), 43–47. https://doi.org/10.1038/s41558-017-0036-2

Matthews, T. K., Wilby, R. L., & Murphy, C. (2017). Communicating the deadly consequences of global warming for human heat stress. Proceedings of the National Academy of Sciences of the United States of America, 114(15), 3861–3866. https://doi.org/10.1073/pnas.1617526114

Zhao, L., Oppenheimer, M., Zhu, Q., Baldwin, J. W., Ebi, K. L., Bou-Zeid, E., Guan, K., & Liu, X. (2018). Interactions between urban heat islands and heat waves. Environmental Research Letters, 13(3), 034003. https://doi.org/10.1088/1748-9326/aa9f73

Fujibe, F. (2003). Long-term surface wind changes in the Tokyo metropolitan area in the afternoon of sunny days in the warm season. Journal of the Meteorological Society of Japan, 81(1), 141–149. https://doi.org/10.2151/jmsj.81.141

Wang, Y., Li, Y., Sabatino, S. D., Martilli, A., & Chan, P. W. (2018). Effects of anthropogenic heat due to air-conditioning systems on an extreme high temperature event in Hong Kong. Environmental Research Letters, 13(3), 034015. https://doi.org/10.1088/1748-9326/aaa848

Hatvani-Kovacs, G., Belusko, M., Skinner, N., Pockett, J., & Boland, J. (2016). Heat stress risk and resilience in the urban environment. Sustainable Cities and Society, 26, 278–288. https://doi.org/10.1016/j.scs.2016.06.019

Karl, T. R., & Trenberth, K. E. (2003). Modern global climate change. Science, 302(5651), 1719–1723. https://doi.org/10.1126/science.1090228

Zhang, B., Gao, J.-x., & Yang, Y. (2014). The cooling effect of urban green spaces as a contribution to energy-saving and emission-reduction: A case study in Beijing, China. Building and Environment, 76, 37–43. https://doi.org/10.1016/j.buildenv.2014.03.003

Dunne, J. P., Stouffer, R. J., & John, J. G. (2013). Reductions in labour capacity from heat stress under climate warming. Nature Climate Change, 3(6), 563–566. https://doi.org/10.1038/nclimate1827

Zander, K. K., Botzen, W. J. W., Oppermann, E., Kjellstrom, T., & Garnett, S. T. (2015). Heat stress causes substantial labour productivity loss in Australia. Nature Climate Change, 5(7), 647–651. https://doi.org/10.1038/nclimate2623

G. J. Steeneveld, S. Koopmans, B. G. Heusinkveld, L. W. A. van Hove, A. A. M. Holtslag (2011). Quantifying urban heat island effects and human comfort for cities of variable size and urban morphology in the Netherlands. JGR: Atmospheres, 116(D20), https://doi.org/10.1029/2011JD015988

G. J. Steeneveld, L. W. A. van Hove, C. M. J. Jacobs, A. A. M., Bert G. Heusinkveld (2012). Holtslag Spatial variability of the Rotterdam urban heat island as influenced by urban land use. JGR: Atmospheres, 119(2), 667-692. https://doi.org/10.1002/2012JD019399

Congyuan Li, Ning Zhang (2020). Analysis of the Daytime Urban Heat Island Mechanism in East China. JGR: Atmospheres, 126(12), e2020JD034066. https://doi.org/10.1029/2020JD034066

Ming Luo, Ngar-Cheung Lau (2018). Increasing Heat Stress in Urban Areas of Eastern China: Acceleration by Urbanization. Research Letter, 45(23), 13,060-13,069. https://doi.org/10.1029/2018GL080306

Balcerak, E. (2014). Statistical analysis describes urban heat island effect in Europe. Eos, 95(6), 60-60. https://doi.org/10.1002/2014EO060010

The Global Liveability Index 2023. Retrieved from https://www.eiu.com/n/campaigns/global-liveability-index-2023/

Fischer, E. M., Oleson, K. W., Lawrence, D. M. (2012). Contrasting urban and rural heat stress responses to climate change. Geophysical Research Letters, Climet, 39, 3. https://doi.org/10.1029/2011GL050576

Willett, K. M., and S. C. Sherwood (2012). Exceedance of heat index thresholds for 15 regions under a warming climate using the wet-bulb globe temperature. Int. J. Climatol., 32, 161–177. https://doi.org/10.1002/joc.2257

DSTU 9190:2022 Energy efficiency of buildings. Method for calculating energy consumption during heating, cooling, ventilation, lighting and hot water supply.

Climate Data Store. Retrieved from https://cds.climate.copernicus.eu/cdsapp#!/software/app-era5-explorer

Borys Sreznevsky Central Geophysical Observatory. Retrieved from http://www.cgo-sreznevskyi.kyiv.ua/uk/diialnist/meteorolohichna/meteorolohichni-dani-meteostantsii-kyiv-na-9-hodynu-ranku