Akademik Veri Yönetim Sistemi
World Environmental and Water Resources Congress 2025: Cool Solutions to Hot Topics, Alaska, Amerika Birleşik Devletleri, 18 - 21 Mayıs 2025, ss.194-202, (Tam Metin Bildiri)
This study presents a preliminary decision-support tool based on a Bayesian network (BN) model to evaluate nature-based solutions (NbS) for enhancing urban resilience. Focusing on Istanbul, a city highly vulnerable to extreme heat, flooding, humidity, and air pollution, the research designs a BN model by integrating land use data, meteorological data, and urban heat island mapping. The proposed method guides to develop a model with high accuracy and resolution, allowing for more precise identification of NbS that effectively achieve the goals of mitigating climate risks - temperature reduction, runoff reduction, humidity control, and air quality improvement. A key novelty is the incorporation of district-level data, ensuring that the proposed NbS are tailored specifically to Istanbul's unique environmental and urban conditions. This hybrid methodology provides both city-specific insights for urban resilience planning worldwide. The findings contribute to sustainable urban development and inform policy recommendations for incorporating NbS into urban planning and climate adaptation strategies.