Kentsel Mekânda Soğutma Yayılımının Araştırılması, İzmir Örneği

Year 2023, Volume: 21 Issue: 2, 453 - 480, 30.10.2023

Yasemin Şentürk , K. Mert Çubukçu

https://doi.org/10.33688/aucbd.1340464

Abstract

Kentsel mekânda, doğal ve doğal olmayan yeşil- mavi altyapı elemanları bitki örtüsüz alanların ısınma etkisine karşı yerel sıcaklıkları düzenlenme konusunda önemli rol oynamaktadır. Kentsel mekânda sıcaklığın mekânsal dağılımını biçimlendiren bu alanlar, kentsel soğuk ada olarak adlandırılmaktadır. Bu çalışma İzmir kentsel alanı yüzey sıcaklığı (YS) mekânsal dağılımını etkileyen unsurların araştırılmasında bir yöntem geliştirmeyi amaçlamaktadır. Kentsel soğuk adaların sınırlarının tespiti için uzaktan algılama ve mekânsal istatistik yöntemlerinden yararlanılarak bir yöntem önerilmiştir. Kentsel mekânda soğutma kapasitesinin incelenmesinde soğutma yayılım alanı ölçüt olarak belirlenmiştir. Çalışma kapsamında, kentsel soğuk ada büyüklüğü ve soğutma şiddetinin yayılım alanıyla ilişkisi ölçülmüştür. Elde edilen bulgular, soğutma etkisi yayılım alanını açıklamada kentsel soğuk ada büyüklüğünün soğutma şiddetine göre çok daha etkili olduğunu ortaya koymuştur. Sonuç olarak, çalışmanın geliştirdiği araştırma yaklaşımı ve elde ettiği sonuçların sürdürülebilir kentsel planlama ve yönetim bağlamında iklim değişikliğine uyum sürecinde kent bütününde sıcaklığın desenini belirleyen unsurları araştıran kısıtlı sayıdaki çalışmalara katkı sunacaktır.

Keywords

Kentsel soğuk ada, soğutma yayılımı, soğutma şiddeti, mekansal istatistik, uzaktan algılama

Thanks

Tez izleme komitesinde yer alan Prof. Dr. Çiğdem Coşkun Hepcan ve Prof. Dr. Mediha Burcu Sılaydın’a katkılarından dolayı teşekkür ederim.

Investigating cooling extend in the urban area, case of İzmir

Abstract

In urban space, green-blue infrastructure plays an important role in regulating local temperatures against the heating effect of areas without vegetation. These areas, which shape the spatial distribution of temperature in urban space, are called urban cold islands. This study aims to develop a method for investigating the factors affecting the spatial distribution of land surface temperature (LST). A method has been proposed for extracting the boundary of urban cold islands by using remote sensing and spatial statistics methods. Cooling extend was determined as a measure in analyzing cooling capacity of urban environment. According to scope of the study, the relationship between both of size of urban cool island and cooling intensity, and cooling extend was measured, then, discussed the impact on local climate conditions. The findings showed that size of urban cool island was more effective than the intensity in explaining cooling extend. As a result, the research approach and the findings will insight for mitigation of urban heat island effect in the context of sustainable urban planning and management.

Keywords

Urban cool island, Cooling extend, Cooling intensity, Spatial statistics, Remote sensing

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