SDG 13 · İklim Eylemi · SDG · Gümüşhane Üniversitesi

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Kitap BölümüYalnız künye2026/r/gumushane/13660
Bio-based and Biodegradable Nanocomposites for Clean Energy Applications
Bozbeyoglu, Pinar; Altuner, Elif Esra
The growing global demand for energy and the environmental concerns associated with fossil fuels have accelerated the search for sustainable alternatives. Bio-based and biodegradable nanocomposites represent a new generation of materials that combine ecological compatibility with superior mechanical, thermal, and electrical properties. This chapter provides a comprehensive overview of bio-based polymer matrices (such as PLA, PHA, PBS, PEF, PVA, and natural polymers like cellulose, chitosan, and lignin) and their integration with nanofillers, including graphene, carbon nanotubes, TiO2, ZnO, and nanoclay. The synergistic effects of these hybrid structures are discussed in the context of clean energy technologies, such as solar cells, fuel cells, batteries, supercapacitors, and piezoelectric nanogenerators. In addition, the chapter highlights green synthesis routes, characterization methods, life cycle assessment (LCA), and industrial perspectives, emphasizing how nanocomposite design bridges performance enhancement with environmental sustainability.
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MakaleYalnız künye2026/r/gumushane/13653
Towards Sustainable Environment in OECD Nations: The Moderator Role of Renewable Energy in Uncovering the Hidden Link Between Military Expenditure and Ecological Footprint
Ayaydın, Hasan; Ergün, Tolga; Ergün, Hilal Ok; Barut, Abdulkadir; Pilatin, Abdulmuttalip
This study examines the relationships among military spending, renewable energy (RNW), globalisation, economic growth, and ecological footprint in 35 OECD member countries, using data covering 1990–2022. Specifically, this study contributes to this discussion by presenting empirical evidence on the link between military expenditure and ecological footprint, while accounting for the moderating role of RNW in OECD countries. The analysis utilised Kao, Pedroni, and Westerlund cointegration tests, Driscoll-Kraay robust standard error tests, Dumitrescu-Hurlin causality tests, and FMOLS and DOLS techniques for robustness verification. Empirical results show that military spending in OECD countries increases the ecological footprint, leading to environmental degradation. Furthermore, the combined effect of military expenditure and RNW reduces the ecological footprint and contributes to environmental sustainability. The results contribute to the existing literature by underlining the role RNW plays in reducing the ecological footprint of military expenditures and by offering policy recommendations for environmental sustainability. From a managerial and policy perspective, the findings suggest that defense-related institutions and policymakers should integrate environmental sustainability criteria into military planning and procurement strategies. Increasing the use of renewable energy in military infrastructure, logistics, and defense technologies may significantly reduce the ecological footprint associated with military expenditure. Therefore, the transition toward renewable energy supported defense systems can serve as a strategic tool for aligning national security objectives with sustainable development goals.
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Kitap BölümüYalnız künye2026/r/gumushane/13613
Artificial Intelligence Nanocomposite Synergy for Next-Generation Fuel Desulfurization
Kostas, Rabia Yasa; Bozbeyoglu, Pinar; Altuner, Elif Esra; Elmas, Muzaffer
Fuel desulfurization is crucial due to the harmful effects of acid rain, air pollution, and health issues associated with sulfur compounds from fossil fuel combustion. Stricter international regulations require reducing sulfur content in fuels to ultra- low levels (<15 ppm), which current hydrodesulfurization (HDS) technology struggles to achieve due to high energy costs and inefficiencies with refractory aromatic sulfur compounds, such as dibenzothiophene (DBT). This gap in technology is driving the development of new solutions. This study explores the integration of materials science, chemical engineering, and artificial intelligence (AI) to meet ultra- low sulfur targets. It highlights alternative strategies, such as adsorptive (ADS) and oxidative (ODS) desulfurization, using advanced nanocomposite materials, including MetalOrganic Frameworks (MOFs), graphene hybrids, and zeolites. These innovative materials focus on “precision targeting” and “molecular recognition,” offering greater efficiency under milder conditions compared to traditional HDS methods AI and computational science are crucial for identifying the most suitable materials among a vast array of candidates. Combining Density Functional Theory (DFT) with Machine Learning (ML) accelerates material discovery by transitioning from a trial- and- error approach to an “inverse design” method. Successful AI tools, including Artificial Neural Networks (ANNs) and Genetic Algorithms (GAs), have been proven effective in optimising desulfurization processes through real- world examples. In summary, achieving cleaner fuels requires innovative materials guided by AI. The study also addresses the challenges of scaling this interdisciplinary approach and envisions the potential for transforming desulfurization from a cost centre into a profit centre through precise molecular separation.
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MakaleAçık Erişim2026/r/gumushane/13607
The effect of behavioral factors related to cashlessness on the perception of green finance
Özbek, Adem; Çam, Alper Veli; Soydaş, Şafak Sönmez; Barut, Abdulkadir; Sharabati, Abdel-Aziz Ahmad
This study aims to examine the effects of behavioral factors shaping cashless payment behaviors in Turkey on green finance perception. The study focuses on subconscious factors such as functional benefit, economic benefit, psychological benefit, attitude toward technology, and perceived behavioral control. Data were collected from 520 participants aged 18 and older via an online survey and analyzed using Structural Equation Modeling (SEM). The findings reveal that functional benefit, perceived behavioral control, and attitudes toward technology significantly and positively influence perceptions of green finance, while economic and psychological benefits do not have a significant effect on behavioral control. The results reveal that behavioral factors such as ease of use and attitudes toward technology play a more significant role in individuals’ adoption of cashless payment systems than rational economic gain expectations. The study contributes to the literature by showing that cashless payment behaviors contribute to the development of sustainable finance and environmental awareness. It also provides practical recommendations for policymakers and financial institutions on improving digital payment infrastructure and user experience to promote green finance.
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MakaleAçık Erişim2026/r/gumushane/13580
Development of the seasonal non-monotonic Mann-Kendall test for hydroclimatic data
Şan, Murat
Climate change can show different characteristics at low and high values of a time series, leading to non-monotonic trends. The Mann-Kendall (MK) and seasonal MK tests can only detect monotonic trends and ignore different behaviors in low and high value groups. To overcome this limitation, extending the recently proposed non-monotonic MK (NMK) test, the seasonal NMK (SNMK) test is proposed. The method was applied to four stations in Türkiye with four different climatic and topographic characteristics using monthly total precipitation data for the 1969-2020 for seasonal trend behavior. The results showed that while no significant trends were detected in entire time series, intra-seasonal and annual data, both monotonic and non-monotonic significant trends emerged in seasonal analyses. Especially in two stations, opposite changes in low and high values, increased seasonal variance and non-monotonic seasonal trends were observed. The test can be used for regional trend analysis by replacing seasonal data with regional data. It is also predicted that the SNMK test can be used as an effective decision support tool in areas with high seasonality such as water resources management, agriculture, energy planning and disaster management.
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MakaleAçık Erişim2026/r/gumushane/13565
Energy Consumption in the EU: The Role of Productivity and Efficiency-Driven Technology; [AB’de Enerji Tüketimi: Üretkenlik ve Verimlilik Odaklı Teknolojinin Rolü]
Çakır, Mehmet Ali; Ökte, Mehmet Kutluğhan Savaş
This study investigates how productivity and productivity-intensive technologies affect energy consumption in selected EU countries from 1996 to 2021. Despite technological progress, fossil fuels still dominate, posing environmental and economic concerns. Using the AMG method, results show that multifactor productivity significantly reduces energy use, while productivity-intensive technologies offer smaller but meaningful reductions. In contrast to prior research linking technology to higher energy demand, this study highlights the importance of efficiency-focused innovation. Findings support the EU’s 2030 energy reduction target and suggest policymakers should prioritise productivity-intensive technologies, on-the-job training, and digital tools to decouple growth from energy consumption.
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MakaleAçık Erişim2026/r/gumushane/13526
Towards Greening the BRICS: Uncovering the Impact of Green Energy, Green Technology and Forest Cover on Environmental Quality
Henni, Mohamed Djafar; Ayaydın, Hasan; Akbulut Yıldız, Gizem; Orhan, Abdullah; Pilatin, Abdulmuttalip; Abdelkader, Salim Bourchid
The BRICS economies, facing the threat of climate change, face a policy challenge in transitioning from fossil-fuel-based energy systems and improving environmental quality. This necessitates urgent policy changes in the outdated energy infrastructure of BRICS countries. However, there still remains a policy gap regarding how countries in the BRICS, a group of rapidly developing economies, can grow their economies in line with the Sustainable Development Goals. The aim of our study is to investigate the impact of green energy, green technology, and forest cover on environmental quality in BRICS countries. The BRICS group of countries offers an ideal field of study for both examining the impacts of green energy, green technology, and forest areas on environmental quality in developing economies, as well as for evaluating national and global energy policies. Although numerous studies have empirically examined the relationship between environmental variables and green initiatives, the impact of green initiatives on the load capacity factor has been overlooked. These studies have generally used various econometric methods and have not included machine learning in the process. This study addresses this research gap by focusing on green energy and green technology, which are preferred for their various advantages and make significant contributions to the load capacity factor. To analyze this relationship in BRICS economies between 2000 and 2022, the Augmented Mean Group (AMG) estimator and Machine Learning algorithms were used. According to the results, strong evidence emerges of a positive relationship between green energy, the digital economy, forested area, and the load capacity factor, while a negative relationship exists between green technology, growth, and the load capacity factor. Based on robust empirical findings, renewable energy sources are a key driver of clean energy adoption and can ultimately increase the load capacity factor in BRICS economies. The results also imply that, since developments in green technological innovation in BRICS countries are still in their infancy, investments in green technologies for a sustainable environment need to be qualitatively increased.
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MakaleAçık Erişim2026/r/gumushane/13460
Land Subsidence Susceptibility Mapping in Semi-Arid Regions Using PS-InSAR and Tree-Based Ensemble Machine Learning: A Case Study From Çumra, Türkiye
Bilgilioğlu, Burhan Baha
Land subsidence is an increasing environmental hazard in semi-arid agricultural basins where intensive groundwater abstraction, compressible geological units, and expanding land-use pressures interact. This study presents a PS-InSAR and machine-learning-based framework for land subsidence susceptibility mapping in the Çumra District of the Konya Closed Basin, Türkiye. A time-series PS-InSAR analysis was conducted using 172 Sentinel-1A ascending images acquired between 2018 and 2023, and 11,718 high-confidence subsidence points were extracted as the inventory dataset. Fourteen conditioning factors representing topographic, hydrogeological, lithological, environmental, and anthropogenic controls were integrated with eight tree-based ensemble models optimized using Optuna. Random Forest achieved the highest overall performance, with an accuracy of 0.9745, precision of 0.9562, recall of 0.9945, F1 score of 0.9750, and Cohen's Kappa of 0.9490, followed by Extremely Randomized Trees and XGBoost. Class-specific validation also confirmed the reliability of Random Forest in delineating the Very High Susceptibility class. Variable importance analysis identified land use, proximity to settlements, well density, and groundwater level change as the dominant predictors, emphasizing the role of groundwater-related anthropogenic pressure in subsidence development. The resulting susceptibility maps provide a spatial decision-support basis for groundwater management, land use planning, and subsidence risk mitigation.
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MakaleYalnız künye2026/r/gumushane/13423
Beyond reactive displacement: anticipatory mobility, climate governance, and the climate passport
Limon, Onur; Gürdal Limon, Elif
This article examines how existing mobility governance frameworks can be re-theorized to better align with the temporal dynamics of climate risk and the conditions shaping mobility decision-making. The analysis demonstrates that current mobility regimes systematically privilege discretionary, event-based protection while offering limited legal predictability or rights-based recognition for anticipatory and incremental mobility. Building on this analysis, the article develops the Climate Passport as a diagnostic framework rather than an operational policy instrument. The framework specifies three governance criteria that any adequate anticipatory mobility regime would need to satisfy: early recognition of climate risk before displacement becomes unavoidable, rights-based and legally predictable status for those facing slow-onset environmental harm, and institutional coherence across the currently fragmented domains of migration, refugee protection, and climate adaptation governance. Informed by the historical Nansen Passport and grounded in human rights and climate justice scholarship, the framework offers a systematic lens for examining how institutional architectures structure the timing, legitimacy, and accessibility of mobility under climate change. By reframing climate-related mobility as a structurally embedded component of adaptation rather than an exceptional failure of in situ resilience, the article contributes to interdisciplinary debates on migration, adaptation, and global justice.
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MakaleAçık Erişim2026/r/gumushane/12301
Assessment of Atmospheric Acidifying Pollutant Trends and Their Potential Impact on Aquatic Carbon Stability in a Semi-Arid Basin: The Case of Konya
Tona, Aziz Uğur; Demir, Vahdettin
The behavior of the carbon cycle within the Land-Ocean Aquatic Continuum (LOAC) is shaped not only by aquatic processes but also by chemical interactions occurring at the atmosphere–water interface. In particular, the transport of acid rain precursors such as SO2 and NOx to surface waters via deposition can alter the water’s pH balance, thereby affecting Dissolved Inorganic Carbon (DIC) fractions and CO2 emission potential. In this study, air quality measurements from three monitoring stations (Bosna, Karatay, and Meram) in Konya province of Türkiye, along with precipitation and temperature data from a representative meteorological station for the period 2021–2023, were analyzed using the Mann–Kendall Trend Test. Additionally, seasonal pH values of groundwater were examined, and their trends were compared with those of the other variables. The findings reveal striking differences on a station basis. At the Bosna station, while NO (Z = 10.80), NO2 (Z = 9.47), and NOx (Z = 10.04) showed strong increasing trends, O3 decreased significantly (Z = −15.14). At the Karatay station, significant increasing trends were detected for CO (Z = 10.01), PM10 (Z = 8.59), SO2 (Z = 5.55), and NOx (Z = 2.44), whereas O3 exhibited a negative trend (Z = −6.54). At the Meram station, a significant decrease was observed in CO (Z = −11.63), while NO2 showed an increasing trend (Z = 3.03). Analysis of meteorological series indicated no significant trend in precipitation (Z = −0.04), but a distinct increase in temperature (Z = 2.90, p < 0.01). These findings suggest that the increasing NOx load in the Konya atmosphere accelerates O3 consumption and, combined with rising temperatures, creates a potential for change in the carbon chemistry of aquatic systems. The results demonstrate that atmospheric pollutant trends constitute an indirect but significant pressure factor on the aquatic carbon cycle in semi-arid regions and highlight the necessity of integrating atmospheric processes into carbon budget analyses within the scope of LOAC.
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Kitap BölümüYalnız künye2026/r/gumushane/12300
Green-Synthesized Nanocomposites for Sustainable Fuel Desulfurization: Advances and Challenges
Ozkan, Abdullah; Ozkan, Vildan; Bozbeyoglu, Pinar; Altuner, Elif Esra
The mounting global demand for energy signifies that we must depend on fossil fuels, which engenders environmental degradation and precipitates the emission of substantial quantities of sulfur oxides (SOx). Protecting themselves from environmental pollution is a top priority for many countries. Proper removal of sulfur- containing compounds from fossil fuels is becoming a major focus. Fuels such as diesel, fuel oil, and gasoline are particularly important in this regard. Fuels such as diesel, fuel oil, and gasoline are particularly important in this regard. The numerous negative consequences of traditional hydrodesulfurization (HDS) methods are what researchers focus on, and these methods are limited. Some examples of these negative effects include higher costs, the use of too much pressure and temperature, and using too much hydrogen. Scientific studies show that biosourced nanocomposite materials are good for desulfurization methods because they can reduce the potential negative consequences. Using raw materials such as microorganisms, biopolymers, and plant extracts is one of the most important ways to increase energy efficiency and eliminate chemical emissions. The large surface areas, enhanced active site homogeneity, and diverse functional groups of nanocomposite materials obtained from such biosourced raw materials make them promising candidates for use in adsorptive and oxidative desulfurization processes. Metal- metal oxide (Fe, Ni, Cu, TiO2) and carbon- based (graphene, carbon nanotube, and biochar- supported) nanocomposites are particularly preferred for achieving high sulfur removal with low energy consumption. The provision of information on the production methods, chemical properties, sulfur removal methods, and recent scientific research on biosourced nanocomposites is the purpose of this section. In addition, the environmental benefits, economic benefits, and potential roles of biosourced materials in alternative energy systems are discussed.
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MakaleAçık Erişim2026/r/gumushane/12277
Valorization of Moss biomass as a natural porous Matrix for shape-stable phase change material (PCM) composites
Can, Ahmet; Ganguly, Sauradipta; Gencel, Osman; Sarı, Ahmet; Erata, Hüseyin
Phase change materials (PCMs) are used to improve energy efficiency, particularly in building heat storage and passive thermal management applications. In this study, moss biomass ( Calliergonella cuspidata (Hedw.) Loeske) (Ca) was evaluated as a natural porous matrix, and a novel non leachable composite phase change material (PCM) was developed based on n-octadecane (n-OD). The moss biomass was impregnated with 60% n-OD by direct mixing method, and its structural stability was enhanced by the addition of Sodium silicate (SS) at 10% and 30% (by wt%) respectively. The morphological, chemical, and thermal properties of the composites were characterized by SEM, EDS, FTIR, DSC, TGA, XRD, and thermal conductivity analyses. SEM-EDS results showed that the moss biomass (Ca) had high porosity, with the addition of SS resulting in a more compact and homogeneous structure. FTIR analyses exhibited the formation of Si–O–Si bands, indicating successful integration of SS into the matrix. According to DSC analysis, the Ca/n-OD(60%) composite had a melting temperature of 26.1 °C and a melting enthalpy of 153.7 J/g whereas for the SS-added variants, these values were measured as 148.3 J/g (10%) and 144.2 J/g (30%), respectively. The enthalpy losses of only 2–3 J/g after 700 heating-cooling cycles indicated high thermal stability. TGA and XRD analyses showed that the addition of SS increased the thermal resistance of the composites, creating an amorphous network structure. The results indicate that moss-based Ca/n-OD/SS composites, with their compact, leak-free structure, high heat storage capacity, and excellent cyclic stability, hold promise as eco‑friendly materials for subsequent applications in: thermal energy storage for buildings, solar energy systems, and the thermal management of electronic components.
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MakaleAçık Erişim2026/r/gumushane/12242
Do environmental taxes improve environmental sustainability beyond net-zero emissions? Evidence from ecological footprint subcomponents in the EU
Recepoğlu, Mürşit; Cay Cakir, Sümeyra; Cakir, Mehmet Ali; Artan, Seyfettin; Hayaloğlu, Pınar; Keşap, Doğan
Environmental degradation has manifested in various forms, including air and water pollution. Therefore, the impacts of environmental policies should be evaluated across all dimensions of environmental degradation. The European Union has targeted to stop CO2 emissions by 2050. Accordingly, the literature has predominantly focused on the relationship between environmental taxation and CO₂ emissions. Even if the net-zero emissions target is achieved, this does not necessarily ensure the elimination of overall environmental degradation. This study investigates the impact of environmental taxation on environmental degradation in the European Union over the period 1995–2021 using the Driscoll-Kraay (1998) estimator. The study focuses on the impact of environmental tax on ecological footprint and its subcomponents. The findings show that the ecological footprint and its subcomponents, except for built-up land and forest product footprints, can be mitigated by current environmental tax policies. However, in order to achieve net-zero environmental degradation, the European Union must reduce pressures arising from built-up land and forest product footprints. In addition to the Driscoll-Kraay (1998) estimator, the Feasible Generalized Least Squares (FGLS) estimator is employed as a robustness check, and the results remain broadly consistent across both methods. Moreover, Dumitrescu and Hurlin (2012) causality test states that strong and bidirectional causal relationships between environmental tax and ecological footprint components. This overall result confirms the existence of a green dividend within the double dividend hypothesis. It is suggested that renewable energy plants should be constructed in areas where built-up land and forest products footprint are not affected. For example, floating solar panels do not use land and also protect water bodies from evaporation.
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MakaleAçık Erişim2026/r/gumushane/12213
Foreign Direct Investment and Growth Impact on Pollution in the EU Countries: Empirical Analysis of the EKC and Pollution Halo Hypothesis
Pilatin, Abdulmuttalip; Ayaydın, Hasan; Soto, Gonzalo Hernández; Pala, Fahrettin
Foreign direct investment inflows are an important factor in the development of countries. Rising FDI can cause unexpected environmental consequences by changing technology use or energy consumption. The study examined the relationships between fossil energy consumption, carbon emission rate, and FDI for 27 European Union countries in the period 2006–2021. In addition, for the first time in this study, EU countries were divided into two according to their income levels and re-analysed. Panel data method and robust Driscoll and Kraay (1998) estimator were used in empirical analyses. The research findings show that a one-unit increase in FDI across EU countries results in a 0.055% increase in GDP and fossil fuel consumption, respectively, and a −0.155% decrease in pollution. These results support the pollution halo hypothesis, which posits that foreign direct investment reduces environmental degradation. The research findings support the pollution halo hypothesis, which states that FDI reduces environmental degradation. It also confirms that the EKC hypothesis, which states that there is an inverted U-shaped relationship between pollution and GDP, is valid in 27 EU countries. However, it has been determined that the pollution haven hypothesis is valid in low-income EU countries. Low-income EU countries should encourage more foreign investment in technology-intensive and environmentally friendly areas and develop various environmental regulations in this direction. The results obtained from the research are expected to provide benefits and insights to policy makers, researchers, and industrialists to increase environmental awareness. The results suggest that low-income EU countries should encourage technology-intensive and environmentally friendly investments, improve green financing and investment conditions, and develop regulations to strengthen environmental standards, so that they can limit environmental degradation while preserving the general welfare-enhancing benefits of FDI.
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MakaleYalnız künye2026/r/gumushane/12204
Monthly precipitation trends in Türkiye under complex topography and varying climate: a seasonal Mann–Kendall and innovative polygon trend framework
Şan, Murat; Nacar, Sinan; Kankal, Murat
The impacts of climate change are increasingly sensible, and Türkiye with its varied topography and diverse climate types is particularly exposed to these shifts. Understanding how precipitation patterns are evolving across its regions is therefore critical. While trend analysis is a widely used tool for this purpose, conventional approaches overlook periodicity, limiting their practical value for water resource management and irrigated agriculture. Therefore, this study aims to examine seasonal trends in long-term (1969–2020) monthly total precipitation in Türkiye, in which each calendar month is treated as a separate season in the sense of seasonal trend-analysis terminology, accounting for altitude, slope, geographical region, and Köppen climate classification. For this purpose, the seasonal Mann-Kendall (SMK) test and the innovative polygon trend Wilcoxon significance test (IPWST), a relatively new graphical method, were used, and the two approaches were comparatively evaluated. According to the study’s results, the rate of increase in coastal areas, specifically the Aegean and Black Seas, exceeds the rate of decrease. In contrast, the reverse is observed in inland and eastern regions. The IPTWST method indicates a more pronounced increasing trend in the Marmara and Mediterranean regions. Furthermore, although analogous trends are observed at lower slopes and altitudes, analyses indicate that these trends are more strongly related to altitude, with the rate of increase decreasing as altitude increases. The IPTWST identified significant or weak trend signals at a larger number of stations than the SMK, particularly in relation to altitude. Nationwide, the two methods revealed significant increases of 7% and decreases of 6%, respectively; this pattern was supported by statistical tests, reflecting the variability of regional climates and the influence of topographic factors on trend analysis.
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Kitap BölümüYalnız künye2026/r/gumushane/12200
Sustainability and Environmental Management in Aviation: The Role of Green Approaches
Yalvaç, Güler
The aviation sector holds a strategic position due to its contributions to global economic growth and transport infrastructure, but it is also the subject of intense debate in the context of sustainability due to its environmental impact. This study was conducted to examine the role of green approaches and environmental management in aviation management. Strategies for reducing carbon emissions, energy efficiency, waste management and renewable energy use are particularly emphasised. The study highlights that the adoption of sustainable practices by airlines and airport management is critical not only for environmental benefits but also for corporate reputation, competitive advantage and customer satisfaction. The feasibility of implementing green approaches as a strategic management model in aviation is discussed, and an exemplary model is proposed. At the same time, the necessity of an environmentally friendly transformation in the sector is emphasised.
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MakaleYalnız künye2026/r/gumushane/12185
Tourism in a Warming World: Climate Change and Inbound Expenditure in Leading Tourism Economies
Kömürcüoğlu, Ömer Faruk; Kömürcüoğlu, Elif Duygu; Hayaloğlu, Pınar
Climate change is a global risk reshaping tourism through destination attractiveness, service continuity, and travel risk perception. Yet tourism research has largely focused on traditional determinants such as income, price competition, and global integration, while multidimensional evidence on climate impacts remains limited. This study examines the link between climate change and tourism inbound expenditure in 12 leading tourism economies over 2004–2019. Climate change is measured using a PCA-based index combining per capita CO2 emissions with temperature and precipitation volatility. This approach captures both average climate conditions and fluctuations in the climate regime. MMQR is employed to account for heterogeneous effects, with economic size, exchange rate, and globalization included as controls. Results show that increases in the climate change index significantly reduce tourism inbound expenditure. Robustness is confirmed by PCSE and FGLS estimators, while causal linkages are assessed using the HPJ test. By showing that multidimensional climate pressure constrains the expenditure performance of major tourism economies, the study extends the application of destination resilience theory to a macroeconomic setting. It also highlights the need to integrate climate adaptation, resilient infrastructure, and ecosystem protection into sustainable tourism planning.
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MakaleAçık Erişim2026/r/gumushane/12155
Carbon footprint assessment and reduction strategies of a university campus in Turkey
Türle, İbrahim; Celen, Pınar
As key institutions and significant energy consumers, universities have a critical responsibility to lead efforts in energy efficiency and renewable energy use to reduce their environmental impact. In this regard, the Gümüşhane University carbon probe has produced the first study that makes it possible to identify the sources of greenhouse gas emissions and provides the opportunity to track, measure, and suggest reduction strategies in the years to come. The carbon footprint of Gümüşhane University from 2017 to 2023 has been calculated and examined in this paper. The IPCC and DEFRA conversion factors served as the foundation for the computations. The results showed that the university's use of natural gas and electricity was responsible for almost all of its carbon emissions. According to the IPCC and DEFRA, the 2017 emissions were 4999.93 and 4667 tCO2e, respectively. Following a move to online instruction in 2020, emissions decreased to 3894 tCO2e under DEFRA and 4365.44 tCO2e under IPCC. However, as campus life resumed its pre-pandemic pace in 2022 and 2023, emissions rose again, surpassing 5252.04 tonnes of CO₂e by 2023 using the IPCC method and 4042 tonnes of CO₂e using the DEFRA method. These results suggest that universities need to focus on their energy consumption patterns in order to reduce their carbon emissions, for example by placing greater emphasis on renewable energy sources, energy efficiency, and balanced consumption. The outcomes of this research will act as a guideline not only for Gümüşhane University to help it reach its sustainability goals, but also for other university administrations when formulating effective carbon reduction strategies, and for institutions seeking to measure or benchmark their environmental performance.
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MakaleYalnız künye2026/r/gumushane/12149
Analysis of microstructural properties and durability characteristics of geopolymer mortars with mining waste
Aksüt, Yavuz Selim; Kaya, Yusuf; Sünnetçi, Kadir
The growing environmental concerns over resource depletion and carbon emissions from cement production have accelerated the search for sustainable alternatives to conventional concrete. In this context, geopolymers have emerged as promising binders, particularly through the utilization of aluminosilicate-rich industrial wastes to reduce environmental impact and support waste recycling. This study examines the mechanical and durability properties of geopolymer mortars produced by partially replacing ground granulated blast furnace slag (GGBFS) with mining waste (MW) at ratios of 0%, 10%, 20%, and 30%. The mixtures were activated using 10 M sodium hydroxide and sodium silicate under standard water curing conditions. Mechanical strength, ultrasonic pulse velocity (UPV), freeze–thaw resistance, and sulfate durability were evaluated. The optimum performance was obtained with 20% MW, which achieved a 30.4% increase in flexural strength and 18% in compressive strength at 7 days. This mixture also showed the lowest mass (10.69%) and strength loss (18.36%) after 50 freeze–thaw cycles. Scanning electron microscopy analysis confirmed enhanced gel formation and microstructural densification. The findings demonstrate that controlled use of MW not only improves durability but also promotes sustainable binder development in geopolymer technology.
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MakaleYalnız künye2026/r/gumushane/12112
Stationarity or nonlinear nonstationarity? Assessing standard duration extreme rainfall under Türkiye’s complex topography and climate variability
Şahin, Nagehan; Şan, Murat; Kankal, Murat
The impact of climate change on extreme rainfall regimes requires a reassessment of the design processes of traditional hydrological structures. For this purpose, conducting an in-depth analysis of the nonstationary nature of extreme rainfall in regions with complex topography and climate is of great importance. This study examines the stationary and nonstationary states of standard duration (5 min–24 h) annual maximum rainfall data across Türkiye. For this purpose, the intensity-duration-frequency relationship was analyzed using data at 100 homogeneous stations during 1980–2020. The analyses were performed using the generalized extreme value (GEV) distribution with eight linear and non linear location and scale parameters, based on stationary and nonstationary models. Time was included as a covariate in nonstationary models. The corrected akaike information criterion and likelihood ratio test were used to select the appropriate GEV distribution. Findings indicate that stationarity is generally dominant, but nonstationarity is relatively higher in a nonlinear manner in cold climates and complex topography. The effect of location and scale parameters was found to be individual in the short duration and combined in the long duration. It was observed that nonstationarity was relatively higher in complex topography than in flatter regions up to 8 h. Still, the diversity of nonlinear models decreased over the long duration. In conclusion, this study emphasizes the need to consider nonstationary approaches in designing hydrological structures, especially in climate change.
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