Master Degree / Yüksek Lisans Tezleri
Permanent URI for this collectionhttps://hdl.handle.net/11147/3008
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Master Thesis Vulnerability assessment within the context of resilience To earthquake hazards: a case study of Bayraklı, İzmi̇r(01. Izmir Institute of Technology, 2024) Aydın, Helin; Kurt, Deniz Gerçek; 01. Izmir Institute of TechnologyDepremler, tüm doğal afetler arasında, Türkiye tarihinde en yıkıcı sonuçlara yol açmış olup, afet kaynaklı can kayıplarının çoğunluğu depremlerden kaynaklanmaktadır. Bayraklı, tarihi ve ekonomik öneminin yanı sıra, yüksek afet riski potansiyeline sahip ve deprem tehlikelerine karşı savunmasız yapı stokunun yoğun olduğu İzmir'in ilçelerinden biridir. Bu çalışma, ilçenin deprem tehlikelerine karşı kırılganlığı değerlendirmeyi amaçlamaktadır ve Bayraklı'nın tüm mahallelerini (24 mahalle) kapsayacak şekilde mahalle ölçeğinde uygulanmıştır. Çalışmada kırılganlık kriterlerini ölçmek ve deprem tehlikelerindeki önemlerini belirlemek için uzman görüşlerini değerlendirmek üzere Aanalitik Hiyerarşi Süreci yöntemi kullanılmıştır. Üç boyutu kapsayan kapsamlı bir kırılganlık değerlendirmesi yapılmıştır.: fiziksel kırılganlık, sosyal kırılganlık ve yapılı çevrenin kapasitesi. Uzman değerlendirmelerine dayanarak, kriterlerin deprem tehlikelerine karşı kırılganlık açısından göreceli önemi ortaya çıkarılmıştır. Kriter ağırlıklarına dayanarak, ArcGIS kullanılarak her ana boyut için kırılganlık haritaları oluşturulmuştur. Bu son aşamada sırasıyla Çay, Çiçek, Alpaslan, Tepekule Bayraklı ve Muhittin Erener, olmak üzere en kırılgan mahalleler belirlenmiştir. Bu araştırmanın bulguları, Bayraklı'nın deprem tehlikelerine karşı kırılganlığını azaltmayı amaçlayan kentsel planlama ve stratejik çabalar için değerli içgörüler sağlama potansiyeline sahiptir. Anahtar Kelimeler: Kırılganlık Değerlendirmesi, Afet Riski, Deprem Tehlikesi, Kapasite, Dayanıklılık, Analitik Hiyerarşi SüreciMaster Thesis Assessment of Spatial Temporal Variability of Urban Heat Island Effect: a Case Study in the Central Districts of İzmir(01. Izmir Institute of Technology, 2024) Ay, Filiz; Kurt, Deniz Gerçek; 01. Izmir Institute of TechnologyThe rapid increase in urban population leads to changes in land use/land cover (LULC) and environmental problems such as Urban Heat Islands. Temperatures in cities being higher than their rural surroundings is a climatic phenomenon known as Urban Heat Island (UHI). Besides direct measurements of air temperature, Land Surface Temperature (LST) that characterizes Surface Urban Heat Island (SUHI) is widely used to determine the impact of UHI. This study aims to determine the spatial/temporal variability of the SUHI effect in the central districts of İzmir for the years 1990, 2000, 2006, 2012, and 2018. Landsat satellite images were used for LST, Normalized Difference Vegetation Index (NDVI), Normalized Difference Water Index (NDWI), Normalized Difference Building Index (NDBI), Urban Index (UI), and albedo, while the CORINE land cover dataset was used for LULC maps. In the study, the relationship between LST and LULC, and spectral indices was analyzed using zonal statistics, correlation, and regression analyses. In 2018, the highest LST values were observed for pastures, industry, commercial areas, transportation units, and mines, respectively. There is a high positive correlation between LST and NDBI, UI, Albedo, and a negative correlation with NDVI, respectively, while there is a moderate positive correlation with NDWI. In the regression model, 60.4% of the variability of the dependent variable is explained by NDBI and NDVI. NDBI (71.3%) and NDVI (7.6%) indices were the most effective factors on SUHI formation. The SUHI effect was more comprehensively evaluated across five different regions adding built-up indices into the variable set. It is concluded that the changes in LST values, together with the built environment indices, are largely influenced by changes in LULC.Master Thesis Assessment of Spatial Pattern and Influencing Factors of Water Consumption: the Case of İzmir (türkiye)(2023) Maral, Şevval; Kurt, Deniz Gerçek; 01. Izmir Institute of TechnologyThe increasing demand for water resources worldwide brings to the fore water demand management that requires examining factors affecting water consumption patterns. This study focuses on per capita water consumption at the neighborhood level and broadly categorizes its driving factors as demographic, socioeconomic, and urban environments. This study aims to aid water demand management and urban planning by providing a comprehensive overview of per capita water consumption, spatial patterns, and underlying determinants through rigorous analysis and empirical findings. To achieve its aim, this study has two objectives. The first objective is to examine per capita water consumption and neighborhood characteristics. To examine the per capita water consumption and its spatial pattern, with the aim of understanding local variations, the study utilized cluster analysis and spatial autocorrelation techniques. The second objective of this study is to identify factors that influence per capita water consumption by analyzing various factors affecting water consumption. Correlation analysis revealed the link between per capita water consumption and demographic, socioeconomic, and urban environment characteristics, providing a comprehensive understanding of their relationship. The application of multiple linear regression analysis yielded a prediction model that elucidated the collective impact of several factors influencing per capita water consumption. The study shows that socioeconomic status and impervious surfaces substantially impact water consumption, offering valuable insights for city planners and policymakers to improve water demand management. The research emphasizes the importance of holistic approaches to understanding patterns and trends in water consumption and the quantity of water consumed.