Scholarly record
ASSESSMENT OF THE URBAN HEAT ISLAND EFFECT UNDER CURRENT AND CLIMATE CHANGE CONDITIONS IN ISTANBUL
Abstract
In addition to adverse impacts on ecosystem services, climate change will very likely result in the increased occurrence, duration and intensity of heat waves threatening human health and comfort, in cities in particular. This is especially due to the replacement of natural surfaces with high thermal capacity urban constructions leading to the so-called urban heat island (UHI) effect. The purpose of this paper is to investigate the UHI effect under current conditions and conditions affected by climate change over Istanbul, one of the most populous cities in the world. In this study, the Weather Research and Forecasting (WRF) model was used to dynamically downscale global climate model simulation from the CMIP5 project for 1990, 2004 and 2050. Physical parameters were chosen to represent urban climate with a horizontal resolution of 1 km. The WRF model was used to simulate weather during July 1990 and 2004 (historical run with corresponding climate conditions) and 2050 (projected future climate conditions) forced with the Representative Concentration Pathway 8.5 scenario. The performance of the model was assessed by comparing the simulation-derived skin surface temperature to satellite estimates. The study further explores within-day and monthly distribution of temperature over the city and characteristics related to UHI. The results confirm that the increasing temperature affects the formation of urban heat island in the study area. In 2050, the average monthly 2 m air temperature in July is projected to increase by 1.5 degrees under the projected future climate change. The evidence from this study suggests that making adaptations strategies for climate change should be made with the consideration of the urban heat island effect.
Publication Impact Profile
Publication details
References14
World Urbanization Prospects - Population Division - United Nations. Population.un.org (2019). at <https://population.un.org/wup/Download/>
Alcoforado, M. & Andrade, H. Global Warming and the Urban Heat Island. Urban Ecology 249-262 DOI: 10.1007/978-0-387-73412-5_14
Argüeso, D., Evans, J., Pitman, A. & Di Luca, A. Effects of City Expansion on Heat Stress under Climate Change Conditions. PLOS ONE 10, e0117066 (2015).
Ogrin, D. & Krevs, M. Assessing urban heat island impact on long-term trends of air temperatures in Ljubljana. Dela 41 (2015). DOI: 10.4312/dela.43.1.41-59
Göndöcs, J., Breuer, H., Pongrácz, R. & Bartholy, J. Urban heat island mesoscale modelling study for the Budapest agglomeration area using the WRF model. Urban Climate 21, 66-86 (2017).
Li, D., Bou-Zeid, E. & Oppenheimer, M. The effectiveness of cool and green roofs as urban heat island mitigation strategies. Environmental Research Letters 9, 055002 (2014).
Skamarock, W.C., Klemp, J.B., Dudhia, J., Gill, D.O., Barker, D.M., Duda, M.G., Huang, X.-Y., Wang, W. & Powers, J.G. A Description of the Advanced Research WRF Version 3. " NCAR Tech. Note NCAR/TN-475+STR, (2008).
Liao, J. et al. Impacts of different urban canopy schemes in WRF/Chem on regional climate and air quality in Yangtze River Delta, China. Atmospheric Research 145-146, 226-243 (2014).
Giannaros, C., Nenes, A., Giannaros, T., Kourtidis, K. & Melas, D. A comprehensive approach for the simulation of the Urban Heat Island effect with the WRF/SLUCM modeling system: The case of Athens (Greece). Atmospheric Research 201, 86-101 (2018).
Li, H. et al. Quantifying urban heat island intensity and its physical mechanism using WRF/UCM. Science of The Total Environment 650, 3110-3119 (2019).
Wang, J., Huang, B., Fu, D., Atkinson, P. M. & Zhang, X. Response of urban heat island to future urban expansion over the Beijing–Tianjin–Hebei metropolitan area. Applied Geography 70, 26–36 (2016).
ÖZTÜRK, M., ÇETİNKAYA, G. & AYDIN, S. Köppen-Geiger İklim Sınıflandırmasına Göre Türkiye’nin İklim Tipleri. Journal of Geography 35, 17-27 (2017).
Guler, Dogus & Yomralioglu, Tahsin. (2017). A GIS-Based Landfill Site Selection Approach Using Spatial Multi-Criteria Decision Making Methods.
Huang, Q., Huang, J., Yang, X., Fang, C. & Liang, Y. Quantifying the seasonal contribution of coupling urban land use types on Urban Heat Island using Land Contribution Index: A case study in Wuhan, China. Sustainable Cities and Society 44, 666–675 (2019).
Citing literature
Number of times cited according to Crossref: 2
View or Download full articleAccess options
SWS access login
Login as SWS Scientific CommitteeLogin as SWS Scientific PartnerLogin as SWS AuthorAuthors and approved SWS contributors will read and export their own linked papers after identity matching by SWS profile, email and SGEM GlobalID.
For librarian assistance: [email protected]
Purchase Instant Access
- Article can be downloaded after successful payment.
- Article may be used according to SWS library access terms.
- Article cannot be redistributed.


