Landslides are geomorphological phenomena that affect anthropogenic and natural features on the Earth’s surface. Many previous studies have identified several factors that have contributed to landslides. Among these factors are physical characteristics, such as slope, aspect, and land cover, of Earth’s surface. Moreover, landslides can be triggered by human activities such as underground mining. This study aims to identify landslide susceptibility areas by analyzing landslide-related factors, including land subsidence triggered by underground mining. The area of interest was Kozlu, Turkey, where underground mining has been in progress for the past 100 years. Thus, to identify landslide risk zones, the multicriteria decision analysis method, together with the analytical hierarchy method, was used. The datasets included were topography, land cover, geological settings, and mining-induced land subsidence. The spatial extent of land subsidence was estimated using a previously published model. A landslide susceptibility map (LSM) was developed using a purposely developed GIS-based software. The results were compared with a terrain deformation map, which was developed in a separate study using the differential synthetic aperture radar interferometry (DInSAR) technique. The results showed a substantial correlation between the LSM and DInSAR map. Furthermore, it was found that ~ 88% of the very high and high landslide risk areas coincided with location of the past landslide events. These facts suggest that the algorithm and data sources used were sufficient to produce a sufficiently accurate LSM, which may be used for various purposes such as urban planning.

Günümüzün globalleşen dünyasında insanoğlunun temel ihtiyaçlarından biri olan enerji, teknolojinin ilerlemesi ile daha da önem kazanmıştır. Geleneksel yöntemler ile enerji üretimindeki sınırlamalar ve çevresel kaygılar neticesinde, yenilenebilir enerjiye doğru hızlı bir yönelim gerçekleşmektedir. Yenilenebilir enerji santrallerinin kurulumu ve işletme esnasındaki verimliliği açısından, yerlerinin seçimi büyük önem taşımaktadır. Güneş enerjisi, günümüzde hayatımızın önemli ve kaçınılmaz bir parçası haline gelmiş olan sürdürülebilir ve yenilenebilir enerji kaynakları arasında yer almaktadır. Güneş enerji santrallerin (GES) kurulum yerlerinin belirlenmesinde ekonomik, çevresel ve sosyal faktörlerin dikkate alınması oldukça büyük önem arz etmektedir. Bu çalışmanın amacı Karabük ilinde GES kurulabilecek en uygun alanların Coğrafi Bilgi Sistemleri (CBS) ve Çok Kriterli Karar Verme (ÇKKA) yöntemlerinden biri olan Analitik Hiyerarşi Yöntemi (AHY) kullanılarak belirlenmesidir. Elde edilen sonuçlara göre, çalışma alanının GES yapımı için orta ve düşük duyarlılık düzeyinde olduğu tespit edilmiştir.

Solar energy is among the sustainable and renewable energy sources that has become an important and inevitable part of our lives today. It is of great importance to consider economic, environmental, and social factors in determining the installation locations of solar power plants (SPP). In this study, we aimed to determine suitable areas where SPP can be established in Safranbolu District by using the fuzzy analytical hierarchy process (FAHP), which is one of the multiple criteria decision making (MCDM) method together with Geographic Information Systems (GIS), to enable the decision-makers to express their preferences in approximate or adaptable ways. The criteria addressed in the technical analysis process were also determined by supporting the basic principles of impact assessment systems. Within the scope of the environmental analysis, the relevant national and international legal frameworks were also examined and the legal constraints were identified. Thus, in the process of determining the optimal areas for SPP, it has been attempted to produce sustainable solutions that are expected to have minimal impact on the integrity of the natural system. This study was carried on within a scientific, technical, and legal framework. According to the results obtained, the Safranbolu District had low, medium, and high sensitivity properties for SPP construction, and the areas suitable for SPP construction provided medium and high sensitivity of 10.86% and 27.26% correspondence detected according to the Chang (Eur J Oper Res 95(3): 649-655, 1996) and Buckley (Fuzzy Set Syst 17(3): 233-247, 1985) methods, respectively. There are very suitable areas for SPP installations in the central and western parts of Safranbolu District, and there are also areas suitable for SPP installation in the northern and southern parts of the district. Thanks to this study, suitable SPP establishment areas were determined for the under protection in a location in Safranbolu where clean energy is needed. It was also observed that these areas do not conflict with the basic principles of impact assessment systems.