Urban Development and Climate Change Interactions: A Case Study Review of Astana City
DOI:
https://doi.org/10.32523/d4y0kv13Keywords:
urban development, climate change, Astana, GIS technologies, urban heat island (UHI), urbanization, satellite monitoringAbstract
Cities have become a relevant object of study for human impact on nature due to the fast development of urbanization and anthropogenic global climate change. In this regard, we will analyze the impact of urbanization processes in the city of Astana on climate change using Geographic Information System (GIS) in this review article. This paper seeks to detect the effects of urbanization, spatial arrangement and land-use changes on local microclimate and to find a structural similarity. This paper discusses relevant experiences in China, USA, Germany and South Korea on the influence of urbanization on air temperature, heat balance, relative humidity and surface albedo in the microclimate.
Active and passive remote sensing, meteorology and computer modeling are actively used, including the usage of GIS technologies to integrate various environmental data sources and analyze the spatial heterogeneity of key climate parameters (e.g. surface temperature). Satellite image analysis (Landsat, MODIS) and local meteorological data show that the urban heat island in the city of Astana is quite intense, due to a very high building density, a large area of artificial surfaces, and a small area of vegetation and water bodies. The results of the study show that spatial analysis can assist in defining the most critical places in need of thermal stress mitigation and potential places for ecological restoration, as well as helping urban planning by defining and implementing strategies to reduce the effects of urbanization on the city microclimate. Ultimately, this research contributes to the broader understanding of urban climate management and offers practical insights for the adaptation of rapidly developing cities to ongoing climate challenges.
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References
1. Almeida, C. R. de, Teodoro, A. C., & Gonçalves, A. (2021). Study of the Urban Heat Island (UHI) Using Remote Sensing Data/Techniques: A Systematic Review. Environments, 8(10), 105. https://doi.org/10.3390/environments8100105 DOI: https://doi.org/10.3390/environments8100105
2. Amanova, S., Hajiyeva, A. Z., & Jafarova, F. (2024). Investigation of Urban Heat Island Based on Remote Sensing and GIS. Comptes Rendus de l’Académie Bulgare des Sciences, 77(8), 1154–1161. https://doi.org/10.7546/CRABS.2024.08.05 DOI: https://doi.org/10.7546/CRABS.2024.08.05
3. Arnfield, A. J. (2003). Two decades of urban climate research: A review of turbulence, exchanges of energy and water, and the urban heat island. International Journal of Climatology, 23(1), 1–26. https://doi.org/10.1002/joc.859 DOI: https://doi.org/10.1002/joc.859
4. Bai, X., Dawson, R. J., Ürge-Vorsatz, D., Delgado, G. C., & Barau, A. S. (2018). Six research priorities for cities and climate change. Nature, 555(7694), 23–25. https://doi.org/10.1038/d41586-018-02409-z DOI: https://doi.org/10.1038/d41586-018-02409-z
5. Baisholanova, L., Ramazanova, E., & Lee, S. H. (2022). Temperature variability and urban expansion in Kazakhstan. Environmental Monitoring and Assessment, 194(8), 632–645. https://doi.org/10.1007/s10661-022-10250-3
6. Butt, M. A., & Azeem, A. (2016). Assessment of Urban Heat Island (UHI) using Remote Sensing and GIS. Global Journal of Human-Social Science: B Geography, Geo-Sciences, Environmental Science & Disaster Management, 16(2), 1–8. Retrieved from https://socialscienceresearch.org/index.php/GJHSS/article/view/1715 (PDF: https://socialscienceresearch.org/index.php/GJHSS/article/download/1715/1656/0)
7. Zhao, Q., Sailor, D. J., & Wentz, E. A. (2018). Impact of tree locations and arrangements on outdoor microclimates and human thermal comfort in an urban residential environment. Urban Forestry & Urban Greening, 32, 81–91.
https://doi.org/10.1016/j.ufug.2018.03.022 DOI: https://doi.org/10.1016/j.ufug.2018.03.022
8. Chang, H.-T. (2016). A temporal and spatial analysis of urban heat island in basin city utilising remote sensing techniques. ISPRS Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B2, 165–170. https://doi.org/10.5194/isprs-archives-XLI-B2-165-2016 DOI: https://doi.org/10.5194/isprsarchives-XLI-B2-165-2016
9. Shahmohammad, M., Hosseinzadeh, M., Dvorak, B., Bordbar, F., Shahmohammadmirab, H., & Aghamohammadi, N. (2022). Sustainable green roofs: A comprehensive review of influential factors. Environmental Science and Pollution Research, 29(52), 78228–78254. https://doi.org/10.1007/s11356-022-23405-x DOI: https://doi.org/10.1007/s11356-022-23405-x
10. Erell, E., Pearlmutter, D., & Williamson, T. (2011). Urban Microclimate: Designing the Spaces Between Buildings.London: Routledge.
https://doi.org/10.4324/9781849775397 DOI: https://doi.org/10.4324/9781849775397
11. Emmanuel, R., & Krüger, E. (2012). Urban heat island and its impact on climate change resilience in a shrinking city. Building and Environment, 53, 137–149. https://doi.org/10.1016/j.buildenv.2012.01.020 DOI: https://doi.org/10.1016/j.buildenv.2012.01.020
12. Gago, E. J., Roldan, J., Pacheco-Torres, R., & Ordóñez, J. (2013). The city and urban heat islands: A review. Renewable and Sustainable Energy Reviews, 25, 749–758. https://doi.org/10.1016/j.rser.2013.05.057 DOI: https://doi.org/10.1016/j.rser.2013.05.057
13. Gerçek, D., Güven, İ. T., & Oktay, İ. Ç. (2016). Analysis of the intra-city variation of UHI and its relation to land surface/cover parameters. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, III-8, 123–128. https://doi.org/10.5194/isprs-annals-III-8-123-2016 DOI: https://doi.org/10.5194/isprsannals-III-8-123-2016
14. Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. DOI: https://doi.org/10.1093/oso/9780195115383.001.0001
15. Grimmond, C. S. B. (2007). Urbanization and global environmental change: Local effects of urban warming. The Geographical Journal, 173(1), 83–88. https://doi.org/10.1111/j.1475-4959.2007.232_3.x DOI: https://doi.org/10.1111/j.1475-4959.2007.232_3.x
16. Hlushchenko, S., Tsyhanok, Y., & Temchenko, Y. (2025). Remote sensing data-based analysis of the urban heat island phenomenon (Kyiv case). Conference Proceedings — Monitoring of Geological Processes and Ecological Condition of the Environment, 2025, 1–5. https://doi.org/10.3997/2214-4609.2025510067 DOI: https://doi.org/10.3997/2214-4609.2025510067
17. Kazhydromet. (2024). Climate change projections for Kazakhstan: 2050 Outlook. Astana: Committee on Hydrometeorology of Kazakhstan. https://www.kazhydromet.kz/en/weather/in_city/4/921
18. Kerimray, A., Suleimenov, B., De Miglio, R., Rojas-Solórzano, L., & Ó Gallachóir, B. P. (2018). Investigating the energy transition to a coal-free residential sector in Kazakhstan. Journal of Cleaner Production, 197, 1102–1116. https://doi.org/10.1016/j.jclepro.2018.06.158 DOI: https://doi.org/10.1016/j.jclepro.2018.06.158
19. Hwang, B. M., Lee, J. H., & Park, S. J. (2023). Cooling effect of urban forests on the urban heat island in Seoul, South Korea. PLOS ONE, 18(3), e0288774. https://doi.org/10.1371/journal.pone.0288774 DOI: https://doi.org/10.1371/journal.pone.0288774
20. Li, X., Zhou, Y., Asrar, G. R., Imhoff, M., & Li, X. (2017). The surface urban heat island response to urban expansion: A panel analysis for the conterminous United States. Science of the Total Environment, 605–606, 426–435.
https://doi.org/10.1016/j.scitotenv.2017.06.229 DOI: https://doi.org/10.1016/j.scitotenv.2017.06.229
21. Liu, Z., Cheng, W., Jim, C. Y., Morakinyo, T. E., Shi, Y., & Ng, E. (2021). Heat mitigation benefits of urban green and blue infrastructures: A systematic review of modeling techniques, validation and scenario simulation in ENVI-met.Building and Environment, 200, 107939.
https://doi.org/10.1016/j.buildenv.2021.107939 DOI: https://doi.org/10.1016/j.buildenv.2021.107939
22. Mills, G. (2014). Urban climatology: History, status, and prospects. Urban Climate, 10, 479–489. https://doi.org/10.1016/j.uclim.2014.06.004
23. Taheri Otaghsara, M. P., & Arefi, H. (2019). Modeling urban heat island using remote sensing and city morphological parameters. ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLII-4/W18, 1035–1040.
https://doi.org/10.5194/isprs-archives-XLII-4-W18-1035-2019
24. Nandi, D., Singh, D., Banik, A., & Mishra, P. S. (2024). Assessing urban heat island impact and identifying vulnerability zones. International Journal of Conservation Science, 15(3), 1577–1592. https://doi.org/10.36868/IJCS.2024.03.26 DOI: https://doi.org/10.36868/IJCS.2024.03.26
25. Oke, T. R. (1982). The energetic basis of the urban heat island. Quarterly Journal of the Royal Meteorological Society, 108(455), 1–24. https://doi.org/10.1002/qj.49710845502 DOI: https://doi.org/10.1002/qj.49710845502
26. Peng, S., Piao, S., Ciais, P., Friedlingstein, P., & Ottlé, C. (2012). Surface urban heat island across 419 global big cities. Environmental Science & Technology, 46(2), 696–703. https://doi.org/10.1021/es2030438 DOI: https://doi.org/10.1021/es2030438
27. Ramazanova, E., Lee, S. H., & Lee, W. (2021). Stochastic risk assessment of urban soils contaminated by heavy metals in Kazakhstan. Science of the Total Environment, 750, 141535. https://doi.org/10.1016/j.scitotenv.2020.141535 DOI: https://doi.org/10.1016/j.scitotenv.2020.141535
28. Rizwan, A. M., Dennis, L. Y. C., & Liu, C. (2008). A review on the generation, determination, and mitigation of UHI. Journal of Environmental Sciences, 20(1), 120–128. https://doi.org/10.1016/S1001-0742(08)60019-4 DOI: https://doi.org/10.1016/S1001-0742(08)60019-4
29. Santamouris, M. (2015). Analyzing the heat island magnitude and characteristics in Asian and Australian cities. Science of the Total Environment, 512–513, 582–598. https://doi.org/10.1016/j.scitotenv.2015.01.060 DOI: https://doi.org/10.1016/j.scitotenv.2015.01.060
30. Seto, K. C., Güneralp, B., & Hutyra, L. R. (2012). Global forecasts of urban expansion to 2030 and impacts on biodiversity. PNAS, 109(40), 16083–16088. https://doi.org/10.1073/pnas.1211658109 DOI: https://doi.org/10.1073/pnas.1211658109
31. Stewart, I. D., & Oke, T. R. (2012). Local climate zones for urban temperature studies. Bulletin of the American Meteorological Society, 93(12), 1879–1900. https://doi.org/10.1175/BAMS-D-11-00019.1 DOI: https://doi.org/10.1175/BAMS-D-11-00019.1
32. Taheri Otaghsara, M. P., & Arefi, H. (2019). Modelling urban heat island using remote sensing and city morphological parameters. ISPRS Archives, XLII-4/W18, 1035–1040. https://doi.org/10.5194/isprs-archives-XLII-4-W18-1035-2019 DOI: https://doi.org/10.5194/isprs-archives-XLII-4-W18-1035-2019
33. Tan, Z., Lau, K. K.-L., & Ng, E. (2016). Urban tree design approaches for mitigating daytime UHI effects. Energy and Buildings, 114, 265–274. https://doi.org/10.1016/j.enbuild.2015.06.031 DOI: https://doi.org/10.1016/j.enbuild.2015.06.031
34. United Nations. (2022). World Urbanization Prospects: 2022 Revision. Department of Economic and Social Affairs, UN.
35. Voogt, J. A., & Oke, T. R. (2003). Thermal remote sensing of urban climates. Remote Sensing of Environment, 86(3), 370–384. https://doi.org/10.1016/S0034-4257(03)00079-8 DOI: https://doi.org/10.1016/S0034-4257(03)00079-8
36. Gong, A., Li, J., & Chen, Y. (2021). A spatio-temporal brightness temperature prediction method for forest fire detection with MODIS data: A case study in San Diego. Remote Sensing, 13(15), 2900. https://doi.org/10.3390/rs13152900 DOI: https://doi.org/10.3390/rs13152900
37. Liu, L., & Zhang, Y. (2011). Urban heat island analysis using the Landsat TM data and ASTER data: A case study in Hong Kong. Remote Sensing, 3(7), 1535–1552. https://doi.org/10.3390/rs3071535 DOI: https://doi.org/10.3390/rs3071535
38. Yang, J., Jin, S., Xiao, X., Jin, C., Xia, J., Li, X., & Wang, S. (2019). Local climate zone ventilation and surface temperatures. Sustainable Cities and Society, 47, 101487. https://doi.org/10.1016/j.scs.2019.101487 DOI: https://doi.org/10.1016/j.scs.2019.101487
39. Zhao, L., Lee, X., Smith, R. B., & Oleson, K. (2014). Strong contributions of local background climate to urban heat islands. Nature, 511(7508), 216–219. https://doi.org/10.1038/nature13462 DOI: https://doi.org/10.1038/nature13462
40. Zhou, D., Zhao, S., Liu, S., Zhang, L., & Zhu, C. (2014). Surface UHI in China: Spatial patterns and driving forces. Remote Sensing of Environment, 152, 51–61. https://doi.org/10.1016/j.rse.2014.05.017 DOI: https://doi.org/10.1016/j.rse.2014.05.017
41. Li, Q., Zhai, Z., & Niu, J. (2021). Effect of urban material albedo modification on surface temperature: A case study based on high-resolution satellite data. Sustainable Cities and Society, 72, 103072. https://doi.org/10.1016/j.scs.2021.103072 DOI: https://doi.org/10.1016/j.scs.2021.103072
42. Debbage, N., & Shepherd, J. M. (2015). The urban heat island effect and city contiguity. Computers, Environment and Urban Systems, 54, 181–194. https://doi.org/10.1016/j.compenvurbsys.2015.08.002 DOI: https://doi.org/10.1016/j.compenvurbsys.2015.08.002
43. Howard, L. (2009). The Climate of London. Cambridge University Press (reprint). https://www.researchgate.net/publication/292141041_The_Climate_of_London_by_Luke_Howard_1833
44. Meng, C.-L., Huang, C.-C., Dou, J.-X., Li, H.-Q., & Cheng, C.-L. (2021). Key parameters in urban surface radiation budget and energy balance modeling. Urban Climate, 39, 100940. https://doi.org/10.1016/j.uclim.2021.100940 DOI: https://doi.org/10.1016/j.uclim.2021.100940
45. IPCC. (2021). Climate Change 2021: The Physical Science Basis. Intergovernmental Panel on Climate Change.
46. Nichol, J. E. (2005). Remote sensing of urban heat islands by day and night. Photogrammetric Engineering & Remote Sensing, 71(5), 613–621. https://doi.org/10.14358/PERS.71.5.613 DOI: https://doi.org/10.14358/PERS.71.5.613
47. Mills, G. (2014). Urban climatology: History, status and prospects. Urban Climate, 10, 479–489. https://doi.org/10.1016/j.uclim.2014.06.004 . DOI: https://doi.org/10.1016/j.uclim.2014.06.004
48. Zhou, B., Rybski, D., & Kropp, J. P. (2017). The role of city size and climate in UHI formation. Scientific Reports, 7(1), 4791. https://doi.org/10.1038/s41598-017-04242-2 DOI: https://doi.org/10.1038/s41598-017-04242-2
49. Grimmond, C. S. B., & Oke, T. R. (1999). Aerodynamic properties of urban areas derived from analysis of surface form. Journal of Applied Meteorology, 38(9), 1262–1292. https://doi.org/10.1175/1520-0450(1999)038%3C1262:APOUAD%3E2.0.CO;2 DOI: https://doi.org/10.1175/1520-0450(1999)038<1262:APOUAD>2.0.CO;2
50. EEA (European Environment Agency). (2023). Urban climate adaptation and heat risk management in Europe.EEA Report 02/2023.
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Copyright (c) 2025 Айдана Кыдырова, Аманбек Зандыбай, Асель Омар (Автор)
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