WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://gcris.yasar.edu.tr/handle/123456789/11289
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Browsing WoS İndeksli Yayınlar Koleksiyonu by Author "A. Ersin Dinçer"
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Article Citation - WoS: 18Citation - Scopus: 22Effect of urbanization on surface runoff and performance of green roofs and permeable pavement for mitigating urban floods(Springer Science and Business Media B.V., 2024-05-29) Şevki Ozturk; Kutay Yılmaz; A. Ersin Dinçer; Volkan Kalpakcı; Yilmaz, Kutay; Dincer, A. Ersin; Ozturk, Sevki; Kalpakci, VolkanFloods are increasingly becoming a significant concern due to climate change global warming and excessive urbanization. The Intergovernmental Panel on Climate Change (IPCC) has projected that global warming will continue to contribute to more frequent and severe floods and hydrological extremes. In response to these challenges nature-based solutions (NBSs) have gained recognition as effective approaches to mitigate the adverse impacts of floods by focusing on ecosystem conservation restoration and sustainable utilization of natural resources. This study examines a flood that occurred in the Erkilet District of Kayseri Türkiye on September 22 2022 as a result of intense rainfall. It involves a thorough on-site investigation to assess the hydraulic hydrologic and geotechnical attributes of the study area. The findings from the field study indicate that the primary cause of the flood is attributed to excessive urbanization. To further analyze the impact of urbanization a hydraulic model is developed considering both the physical and topographical conditions of the study area for both the year 2006 and 2022. The simulation results reveal that the extent of inundation area and water depth has increased significantly due to the excessive urbanization that occurred within a 16-year period. Additionally the effectiveness of green roofs and permeable pavements as NBSs to mitigate urban flooding is explored. The implementation of green roofs and permeable pavements shows promising results reducing the adverse effects of urban floods by 3% to 8% depending on their specific locations and configurations. However the results suggest that NBSs alone cannot fully prevent floods so they should complement gray infrastructure. The novelty of the study lies in its ability to demonstrate the impact of urbanization and the effectiveness of nature-based solutions in mitigating flood extent based. © 2024 Elsevier B.V. All rights reserved.Article Enhanced Objectivity of AHP for More Reliable Solar Farm Site Selection(John Wiley and Sons Ltd, 2025-04-17) A. Ersin Dinçer; Abdullah Demir; Kutay YılmazThe analytic hierarchy process (AHP) is a popular decision-making method for reliable decisions in different areas of study. Although the conventional AHP method mathematically ensures the consistency of results the reliability of these results depends on the expert manifests. While AHP was originally proposed for subjectively relatable criteria there may also be additional objectively relatable criteria or a consensus about the final relation of some couple of criteria. To address these objective relations and/or consensuses this study proposes the analytic hierarchy process with optimized hierarchy (AHP-OH). This method enhances the reliability of results by satisfying objective relations and/or consensuses about relations between criteria. The AHP-OH methodology was applied to select optimal photovoltaic (PV) farm locations in Konya Province Turkey a region characterized by diverse terrain and solar radiation levels. The study incorporated geographic information systems to analyze criteria such as solar radiation rate land use slope proximity to roads and transmission lines and restricted areas. Results demonstrated that 2.56% of Konya's terrain is highly (80%–100%) suitable and 19.34% of it has moderately high (60%–80%) suitability for PV farm development with five highly suitable regions identified. Notably the locations of existing PV farms aligned closely with the identified suitable zones validating the efficacy of the AHP-OH approach. This research underscores the importance of objectivity of decision-making methods and proposes AHP-OH to enhance the objectivity of the conventional AHP method. By providing a systematic and objective framework for spatial decision support systems AHP-OH offers significant advancements for policymakers and developers in the renewable energy sector. Future applications of this methodology can extend to other regions and renewable energy sources contributing to global efforts in sustainable energy development. © 2025 Elsevier B.V. All rights reserved.

