WoS İndeksli Yayınlar Koleksiyonu
Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/394
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Article Citation - WoS: 23Citation - Scopus: 28Exploring Flood and Erosion Risk Indices for Optimal Solar PV Site Selection and Assessing the Influence of Topographic Resolution(Pergamon-Elsevier Science Ltd, 2023-11) Yilmaz, Kutay; Dincer, Ali Ersin; Ayhan, Elif N.This study explores the suitability of Mentes,e Region in Turkiye for the installation of solar PV farms, given the significant increase in energy demand in the country and the need to reduce reliance on fossil fuels. The Analytical Hierarchy Process (AHP) method, which has been widely used in previous studies, is employed to identify the most influential criteria for site selection, including environmental, economic, and social factors. However, this study introduces two new factors, flood hazard and erosion indices, to the analysis, which are crucial in areas susceptible to these hazards. The results show that approximately 7.5% of the study surface area is suitable for solar PV production. The study reveals that flood hazard and erosion indices have an effect on the suitable sites despite their relatively lower weights in the AHP. In addition, the study illustrates that site selection can be carried out using topographic data of lower resolution, as long as the data is resampled to match the resolution of land use data. The study is novel in its integration of flood and erosion risk indices in the decision process and its investigation of the influence of topographic resolution on site selection for solar PV panels.Article Citation - WoS: 14Citation - Scopus: 17Debris Flow Modelling and Hazard Assessment for a Glacier Area: A Case Study in Barsem, Tajikistan(Springer, 2022-10-10) Yilmaz, Kutay; Dincer, A. Ersin; Kalpakci, Volkan; Ozturk, SevkiThis study analyses a previous debris flow hazard as a consequence of emerging risks related to climate and regional physical changes. In addition to the increasing flood frequencies, there is an increasing risk of mud or debris flow due to increasing temperature and heavy precipitation resulting in glacier melting. One of the most recent dramatic examples of the debris flow incident took place in Barsem, Tajikistan, in 2015. As a result of heavy precipitation and excess temperature, the melting of glaciers caused debris flow which ended up with a catastrophic damage at Barsem Town. In this study, a methodology for modelling debris flow and related hazard is developed by examining the 2015 incident in detail with a commercially available software, Hydrological Engineering Centre-River Analysis System (HEC-RAS). Simulations and hazard assessment of the incident suggest that assessment of debris flow hazard can be implemented similar to flood hazard. Moreover, it is seen that debris flow inundation area can be predicted accurately by low-resolution free-source digital elevation models (DEMs), while in the present work they could not predict the debris flow hazard assessment accurately. Sensitivity results also reveal that free-source DEMs with higher resolutions do not necessarily give better predictions than free-source DEMs with lower resolutions.Article A Sustainable Decision-Making Framework to Evaluate Land and Seaside Disposal Options for Tunnel Spoil: A Case Study of Trabzon(Science Press, 2025-05) Dincer, Ali Ersin; Demir, Abdullah; Ozturk, Sevki; Yilmaz, KutaySustainable urbanization is essential for developing cities. To ensure the success of planned construction projects, designers must prioritize sustainability by lowering emissions and reducing costs. Tunnel projects are common worldwide, but disposing of the excavated material presents a significant challenge due to unsuitable geographic conditions. While coastal cities with mountainous terrains have historically used spoil for sea filling, this study offers alternative landside options to promote sustainability. By using a conventional analytical hierarchy process (AHP) method for multi-criteria decision-making (MCDM), the study evaluates land use, sustainability, slope, and drainage lines as constraints for the AHP method. The transportation-related greenhouse gas (GHG) emissions are also considered to reduce environmental damage. Particle swarm optimization is used to determine the minimum transportation distance from the excavation zone to the dumpsite. As a sub-criteria of land use, the seaside is also considered a dumpsite compared with other options on the land side. The spatial analysis results of the case study show that suitable landside sites are available for the Trabzon tunneling project. Although coastal areas in Trabzon have been used for spoil dumping for filling purposes in the past, landside deposition is a viable alternative. The suitability ranks of land and coastal filling options are relatively similar, and selecting the seaside as the dumpsite for the Trabzon tunneling project reduces CO2 emissions. By adopting sustainable practices, we can realize a better future for our cities and the environment.Article Citation - WoS: 62Citation - Scopus: 63A Novel Method for the Site Selection of Large-Scale PV Farms by Using AHP and GIS: A Case Study in Izmir, Turkiye(Pergamon-Elsevier Science Ltd, 2023-07) Demir, Abdullah; Dincer, Ali Ersin; Yilmaz, KutayEffective and sustainable climate-friendly policies to reduce carbon dioxide emissions in line with the 2020 European Green Deal are necessary. Accordingly, renewable energies assumed a critical role, rendering the site selection of these systems very crucial. The present study proposes a novel approach to the site selection of large-scale photovoltaic (PV) plants using a combination of analytic hierarchy process (AHP) and geographic infor-mation system (GIS). In the study, the weights of criteria used for selecting solar PV panels are adjusted according to the installed capacity of the PV plant. The land of cost is included as a criterion in the AHP for the first time in PV plant site selection. Besides, a novel method called optimality-based site growing (OBSG) is introduced to further analyze the suitable sites obtained from GIS simulations and to determine the most suitable locations of PV farms. The proposed method is demonstrated with a case study of Turkiye, and the results show that the method effectively determines the most suitable locations for large-scale PV plants.