Yazar "Sengun, Mustafa Taner" seçeneğine göre listele

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    Assessment of Geosite and Geotourism Potential of Baskil District (Elazığ) Using Preliminary Geosite Assessment Model (GAM)
    (Springer Heidelberg, 2025) Goktas, Yaren; Aytac, Ahmet Serdar; Sengun, Mustafa Taner; Kocaoglu, Muhammed
    Geosites bearing the traces of geological and geomorphological processes play an important role in sustainable geotourism development. This study aims to analyze the geotourism potential of eight potential geosites located in Baskil district of Elaz & imath;& gbreve; province through the Preliminary Geosite Assessment Model (GAM). The geosites examined include Baskil Magmatites, Keban and K & ouml;m & uuml;rhan Gorges, Karaleylek and Sakl & imath;kap & imath; Canyons, Tepesidelik Cave, G & uuml;m & uuml;& scedil;& ccedil;ay Canyon and Kad & imath;k & ouml;y Alluvial Fan. In the study, these areas were evaluated in terms of scientific, aesthetic, functional and tourism-related criteria. The findings reveal that the geosites have high scientific and geological importance, but touristic infrastructure and promotional activities are inadequate. Sakl & imath;kap & imath; and Karaleylek Canyons received the highest scores in terms of main values, while functional and touristic values were generally low. The results show that Baskil district has geotourism and geopark potential at national and international levels. However, to unlock this potential, it is of great importance to implement strategic planning that prioritizes protection, accessibility and the participation of local people.
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    Forecasting urban shifts post-earthquake: LULC change analysis in Elazığ, Turkey using ANN and Markov models
    (Wiley, 2025) Sunbul, Fatih; Karadeniz, Enes; Sengun, Mustafa Taner; Kocaoglu, Muhammed
    Understanding land use and land cover (LULC) dynamics in seismically active regions is crucial for risk-informed urban planning and sustainable post-disaster recovery. This study investigates the impact of the Mw 6.8 Elaz & imath;& gbreve; earthquake (24 January 2020) on LULC patterns in eastern Turkey by integrating high-resolution Sentinel-2 satellite imagery with geographic information systems (GIS), remote sensing (RS), artificial neural networks (ANNs), and Markov chain modelling. The methodology comprises four phases: establishing a pre-earthquake baseline (2015-2019), assessing post-earthquake changes (2015-2023), analysing transition probabilities to identify key LULC drivers, and forecasting land-use scenarios for 2030 and 2050 under seismic and non-seismic conditions. Results reveal that seismic activity significantly accelerates urban expansion, shifting development towards geologically stable zones. By 2050, artificial surfaces are projected to occupy 54.70% of the region under seismic influence, compared to 48.87% without it. Agricultural land is more preserved in the seismic scenario (26.54%) than in the non-seismic case (22.68%), while pasture and meadow areas decline sharply to 6.18%, raising concerns for biodiversity and ecosystem services. These findings emphasise the importance of integrating ecological considerations and seismic risk into land-use planning frameworks. By combining multicriteria decision-making with machine learning-based forecasting, the study offers a replicable and scalable model for balancing urban growth, environmental conservation, and resilience. Framed within interdisciplinary insights from disaster resilience theory, urban governance, and spatial risk modelling, this research contributes to the global discourse on sustainable urban transformation in the face of increasing natural hazards.