Search Results (1,949)

Often considered the most pristine natural areas, mountains are the third most important tourist destination in the world after coasts and islands, contributing significantly to the tourism sector (15–20%). Tourism is economically important for many mountain communities and is among the key drivers of economic growth in mountain regions worldwide. However, these high-altitude places are under increasing pressure from activities such as expeditions and trekking, which can contribute to the degradation of mountain ecosystems. In this study, we focused on the Italian expedition to K2 in July 2024, which celebrated the 70th anniversary of the first ascent in 1954. In particular, we assessed its environmental impact by estimating the expedition’s carbon footprint. We also discussed the different impact compared to the previous Italian expeditions. Overall, the 2024 Italian expedition to K2 had a carbon footprint of 27,654 kg CO_2-eq, or 1383 kg CO_2-eq per team member that flew from Italy. Air transport (i.e., the flight from Italy to Pakistan via Islamabad) was the largest source of emissions (91.7%, divided into 66.4% for passengers and 25.4% for cargo). Waste incineration was the smallest contributor (1.1%). Instead of using traditional diesel generators, the 2024 expedition used photovoltaic panels to generate electricity, eliminating further local greenhouse gas emissions. At the carbon credit price of 61.30 USD/ton of CO₂ or 57.02 EUR/ton of CO₂, offsetting the expedition’s emissions would cost 1695 USD or EUR 1577. This approach seems feasible and effective for mitigating the environmental impact of expeditions such as the one performed in 2024 by Italians. Full article

In this paper, the application is investigated of fast Fourier transform filtering (FFT-FR) to high spatial resolution digital terrain models (HR-DTM) derived from LiDAR sensors, assessing its efficacy in identifying genuine relief elements, including both natural geological features and anthropogenic landforms. The suitability of the derived filtered geomorphic references (FGRs) is evaluated through spatial correlation with ground truths (GTs) extracted from the topographical and geological geodatabases of Santander Bay, Northern Spain. In this study, it is revealed that existing artefacts, derived from vegetation or human infrastructures, pose challenges in the units’ construction, and large physiographic units are better represented using low-pass filters, whereas detailed units are more accurately depicted with high-pass filters. The results indicate a propensity of high-frequency filters to detect anthropogenic elements within the DTM. The quality of GTs used for validation proves more critical than the geodatabase scale. Additionally, in this study, it is demonstrated that the footprint of buildings remains uneliminated, indicating that the model is a poorly refined digital surface model (DSM) rather than a true digital terrain model (DTM). Experiments validate the DTM’s capability to highlight contacts and constructions, with water detection showing high precision (≥60%) and varying precision for buildings. Large units are better captured with low filters, whilst high filters effectively detect anthropogenic elements and more detailed units. This facilitates the design of validation and correction procedures for DEMs derived from LiDAR point clouds, enhancing the potential for more accurate and objective Earth surface representation. Full article

Currently, subway and underground engineering projects are vital for alleviating urban congestion and enhancing citizens’ quality of life. Among these, excavation engineering for foundation pits involves the most accidents in geotechnical engineering. Although there are various construction methods, most face issues such as a large footprint, high investments, resource waste, and low mechanization. Addressing these, this paper focuses on a subway foundation pit project in Guangzhou using mechanical shaft sinking technology. Using intelligent cloud monitoring, we analyzed the stress–strain patterns of the cutting edge and segments. The results showed significant improvements in construction efficiency, cost reduction, safety, and resource conservation. Based on this work, this paper makes the following conclusions: (1) The mechanical shaft sinking method offers advantages such as small footprint, high mechanization, minimal environmental impact, and cost-effectiveness. The achievements include a 22.22% reduction in construction time, a 20.27% decrease in investment, and lower worker risk. (2) Monitoring confirmed that all cutting edge and segment values remained safe, demonstrating the method’s feasibility and rationality. (3) Analyzing shaft monitoring data and field uncertainties, this study proposes recommendations for future work, including precise segment lowering control and introducing high-precision total stations and GPS technology to mitigate tunneling and assembly inaccuracies. The research validates the mechanical shaft sinking scheme’s scientific and logical nature, ensuring safety and contributing to technological advancements. It offers practical insights, implementable suggestions, and significant economic benefits, reducing project investment by RMB 41,235,600. This sets a benchmark for subway excavation projects in South China and beyond, providing reliable reference values. Furthermore, the findings provide valuable insights and guidance for industry peers, enhancing overall efficiency and sustainable development in subway construction. Full article

University dormitories are vital spaces for students’ daily lives and informal learning, and require desks and chairs of utmost comfort. This study evaluates the desks and chairs at F University using Jack 8.01 software to optimize ergonomic design. By simulating three common sitting postures, this research identifies key issues, such as posture-related strain and limited reachability, particularly for female users. The optimized design introduces adjustable desk height (440~840 mm), chair height (250~520 mm), and tilt angle (0~60°), resulting in a 14.3% and 51.9% improvement in hip and knee joint comfort for the 5th percentile of female users, respectively, and effectively avoids the health risks caused by poor sitting posture. At the same time, based on the universal design concept, the design considerations for non-normative people are introduced. From the perspective of environmental sustainability, fewer wood-based panels used in the improved desk can reduce the greenhouse gas (GHG) footprint by approximately 135 kg CO₂ e. These enhancements highlight the critical role of digital human modeling (DHM) in developing ergonomic, “people-centered” furniture that promotes healthier and more effective learning environments, as well as the sustainable development of educational facilities. Future work will validate these findings in real-world settings and explore their applications across educational and professional spaces. Full article

The production process of extra virgin olive oil, which is a strategic asset of the Italian agrifood sector, can be innovated in its impact on the environment, according to a dual approach: (a) with a view to a circular economy, acting on the waste it produces, either correctly disposing of it or effectively reusing it, and (b) with a view to emissions, reducing the carbon footprint that it generates, starting from the supply chain. This dual approach, clearly contributing to the circular economy paradigm and the achievement of a zero-emission economy, requires the sector to make significant investments in technological innovation. To this end, this study highlights the importance of the financial resources that can be obtained either through financial intermediaries, in particular banks, now able to provide green loans with a positive environmental impact, or through the financial markets and the use of securities issues, such as green bonds. Full article

The Internet of Things (IoT) and Industrial Internet of Things (IIoT) have drastically transformed industries by enhancing efficiency and flexibility but have also introduced substantial cybersecurity risks. The rise of zero-day attacks, which exploit unknown vulnerabilities, poses significant threats to these interconnected systems. Traditional signature-based intrusion detection systems (IDSs) are insufficient for detecting such attacks due to their reliance on pre-defined attack signatures. This study investigates the effectiveness of Adaptive SAMKNN, an adaptive k-nearest neighbor with self-adjusting memory (SAM), in detecting and responding to various attack types in Internet of Things (IoT) environments. Through extensive testing, our proposed method demonstrates superior memory efficiency, with a memory footprint as low as 0.05 MB, while maintaining high accuracy and F1 scores across all datasets. The proposed method also recorded a detection rate of 1.00 across all simulated zero-day attacks. In scalability tests, the proposed technique sustains its performance even as data volume scales up to 500,000 samples, maintaining low CPU and memory consumption. However, while it excels under gradual, recurring, and incremental drift, its sensitivity to sudden drift highlights an area for further improvement. This study confirms the feasibility of Adaptive SAMKNN as a real-time, scalable, and memory-efficient solution for IoT and IIoT security, providing reliable anomaly detection without overwhelming computational resources. Our proposed method has the potential to significantly increase the security of IoT and IIoT environments by enabling the real-time, scalable, and efficient detection of sophisticated cyber threats, thereby safeguarding critical interconnected systems against emerging vulnerabilities. Full article

Wasted bread (WB) has been studied as an alternative ingredient for increasing the sustainable footprint in the beer production chain. There are gaps in the literature on the impact of WB on beer manufacturing. Thus, the objective was to evaluate the addition of WB as a replacement for wheat flakes in a craft beer. Three formulations with different concentrations of WB were produced and monitored for glucose and maltose concentrations in the mash; the beer was analyzed for ethanol, glycerol, acetic acid, lactic acid, pH, acidity, turbidity, color, and volatile compounds. Sensory analysis was performed by a trained panel. In the initial stages of mashing, a higher concentration of sugars was found in the wort with WB added, while, at the end stages, this was higher in the control wort. The addition of WB resulted in beers with a lower turbidity, darker color, and lower concentrations of ethanol, glycerol, and acetic acid. Among the volatile compounds, D-limonene, ethyl dodecanoate, heptanol, acetaldehyde, and ethyl acetate should be further explored as markers for the presence of WB. Higher intensities of banana odor and flavors were observed by the trained panel when there was a greater substitution of wheat flakes. WB is a low-cost and effective ingredient for beer production, although more work is needed for its large-scale use. Full article

The co-production of BHD with other renewable fuels (i.e., using a novel process involving carbon dioxide utilization to achieve the global sustainability goal) is presented. The three configurations of BHD production from refined bleached deodorized palm oil (RBDPO), including (1) the conventional BHD process with hydrogen recovery (BHD process), (2) the BHD process coupled with the Fischer–Tropsch process (BHD-FT process), and (3) the BHD process coupled with the bio-jet fuel and methanol processes (BHD-BIOJET-MEOH process) are investigated using the process model developed in Aspen Plus. The effect of the operating parameters is studied, and the condition of each process offering the highest BHD yield is proposed. Then, the pinch analysis and heat exchanger network (HEN) design of each proposed process are performed to find the highest energy-efficient configuration. The economic and environmental analysis is later performed to investigate the sustainability performance of each configuration. The conventional BHD process requires less hydrogen and consumes less energy than the others. The BHD-BIOJET-MEOH process is the most economically feasible, offering the highest net present value (NPV) of USD 7.93 million and the shortest payback period of 3 years and 1 month. However, it offers the highest carbon footprint of 0.820 kgCO₂ eq./kg of BHD, and it presented the highest potential environmental impact (PEI) in all categories. Full article

Straw return is an effective agricultural measure that influences the ecological environment. In the context of global climate change and the need for sustainable development, it is essential to explore how straw return methods affect the environment. This study conducted a two-year field experiment comparing different straw return treatments: no straw return (CK), straw return directly (SR), and straw returned in deep ditches (ISR). The results showed that SR treatment increased soil dissolved organic carbon (DOC) (21.7~25.8%) and dissolved organic nitrogen (DON) (8.5~43.8%) compared to CK. The ISR treatment significantly enhanced DOC (13.1~33.0%) and DON (14.2~50.8%). Both SR and ISR treatments also improved maize growth indicators, such as leaf area index (LAI), stem biomass, leaf biomass, and grain biomass. In terms of environmental effects, the ISR measure reduced N₂O emissions and significantly lowered the carbon footprint (CF) and water footprint (WF). Specifically, the yield-scale carbon footprint (CF_y) and yield-scale water footprint (WF_y) of ISR were reduced by 12.0% and 9.1%, respectively, in 2023. Correlation analysis revealed that soil DON and DOC were key factors in these environmental benefits. Furthermore, the reduction in WF and CF was closely linked to the increased SWC and higher biomass in all maize organs. Therefore, we demonstrated that the ISR measure not only promotes maize biomass accumulation but also effectively mitigates carbon emissions and water consumption on farmland. It may be related to the boosting soil DON and DOC levels. Overall, the ISR method holds promise for supporting sustainable farming practices. Full article

It is currently essential to seek innovative solutions for sustainability and the efficient use of resources, rooted in bioeconomy principles and linked to the concepts of the circular economy. Technological innovations supporting the production of wood–plastic composites, using recycled materials, reduce the ecological footprint. The aim of the study was to present conclusions of the evaluation of the business plan concept’s effectiveness and to propose applications of traditional and innovative cost calculations resulting from the implementation of technological innovations in the production of wood–plastic composites in the forest-based sector in accordance with the principles of the circular economy. Using dynamic methods for evaluating business plan net present value, profitability index, internal rate of return, and discounted payback period, positive recommendations for project rentability were identified under both realistic and pessimistic scenarios. By applying traditional markup calculation, material cost savings of EUR 3.99/m³ were quantified, representing a relative saving of over 2% compared to traditional particle board. Verification of alternative machine hour rate calculation allows for more precise allocation of overhead costs into product pricing and provides the ability to respond swiftly to changes in input parameters. The findings have practical implications for the forest-based sector, as the use of recycled plastics can reduce production costs and increase the competitiveness of production. Full article

Background: The wine industry in arid area serves as a crucial livelihood source at the frontiers of anti-desertification and anti-poverty. By making use of a carbon footprint (CF) management system, formerly untapped climate values can be explored, embedded, and cherished to connect rural communities with the global goals of sustainable development. However, the current standards of CF management mainly represent the traditional wine grape growing areas of Europe, Oceania, and North America. Limited study of the arid areas in lower-income regions exists, which offers a kind of potential development knowledge regarding creating climate-related livelihoods. Methods: This paper attempts to construct a cradle-to-gate CF Life Cycle Assessment (LCA) framework based on the prominent emission factors in three GHG emission phases (raw material input, planting management, and transportation) of a wine grape variety, Cabernet Sauvignon (chi xia zhu), planted at the Eastern Foothills of the Helan Mountains in the Ningxia Hui Autonomous Region of China. Results: It is found that viticulture processes (instead of wine-making, bottling, or distribution) account for a larger proportion of GHG emissions in Ningxia. Due to the large amount of irrigation electricity usage, the less precipitation wine producers have, the larger CF they produce. By using organic fertilizer, the CF of Ningxia Cabernet Sauvignon, being 0.3403 kgCO₂e/kg, is not only lower than that of the drier areas in Gansu Province (1.59–5.7 kgCO₂e/kg) of Western China, but it is even lower than that of the Israel Negev Region (0.342 kgCO₂e/kg) that experiences more rainfall. Conclusions: The measurement of CF also plays a role in understanding low-carbon experience sharing. As the largest wine grape production area in China, CF analysis of the Ningxia region and its commercial value realization might practically fill in the knowledge gap for desert areas in developing countries. It is inspiring to know that by applying green agricultural technologies, the viticulture CF can be effectively reduced. For the potential exchanges in global carbon markets or trading regulations under the Carbon Border Adjustment Mechanism (CBAM), positive variations in CF and soil organic carbon (SOC) storage volume need to be considered within financial institutional design to lead to more participation toward SDGs. Full article

The paper explores the impact of digital transformation on young people’s interaction with digital leisure and its ecological footprint. The study highlights the increasing awareness of ecological sustainability in digital consumption among university students. It also delves into the concept of emotional sustainability, a term proposed to address the psychological and emotional effects of digital entertainment consumption. The digitalization of leisure has led to significant changes, including the rise in digital dependency, anxiety disorders, and the dehumanization of human relationships. The paper underscores the need for emotional sustainability in managing digital leisure to mitigate these negative consequences. Additionally, it discusses students’ awareness of the ecological footprint associated with digital activities, pointing out gaps in knowledge regarding the environmental impact of maintaining digital infrastructure. The authors advocate for integrating emotional sustainability into digital consumption practices to promote healthier and more sustainable digital lifestyles. This exploratory study provides a framework for understanding the dual aspects of sustainability in digital leisure, emphasizing the importance of both ecological and emotional dimensions in fostering a balanced and sustainable digital future. This context has generated needs that must be addressed from the perspective of the emotional sustainability of digital entertainment consumption. Full article

Extracting building outlines from 3D models poses significant challenges stemming from the intricate diversity of structures and the complexity of urban scenes. Current techniques heavily rely on human expertise and involve repetitive, labor-intensive manual operations. To address these limitations, this paper presents an innovative automatic technique for accurately extracting building footprints, particularly those with gable and hip roofs, directly from 3D data. Our methodology encompasses several key steps: firstly, we construct a triangulated irregular network (TIN) to capture the intricate geometry of the buildings. Subsequently, we employ 2D indexing and counting grids for efficient data processing and utilize a sophisticated connected component labeling algorithm to precisely identify the extents of the roofs. A single seed point is manually specified to initiate the process, from which we select the triangular facets representing the outer walls of the buildings. Utilizing the projection histogram method, these facets are grouped and processed to extract regular building footprints. Extensive experiments conducted on datasets from Nanjing and Wuhan demonstrate the remarkable accuracy of our approach. With mean intersection over union (mIOU) values of 99.2% and 99.4%, respectively, and F1 scores of 94.3% and 96.7%, our method proves to be both effective and robust in mapping building footprints from 3D real-scene data. This work represents a significant advancement in automating the extraction of building footprints from complex 3D scenes, with potential applications in urban planning, disaster response, and environmental monitoring. Full article

The real-time assessment of ecological conditions in arid and semi-arid regions is essential for global ecological sustainability. This study utilizes an improved three-dimensional ecological footprint model to assess the ecological footprint, ecological carrying capacity, and footprint depth of Xilingol League, analyzing its spatiotemporal evolution characteristics. An ecological pressure index is developed to evaluate ecological security, and two-way ANOVA and M-K mutation tests are employed to analyze the effects of county-level and year-level factors on these indicators and their evolving trends. The results show that the following: (1) From 2011 to 2021, the ecological footprint and footprint depth in Xilingol League first increased and then decreased, while its ecological carrying capacity slightly improved, leading to an overall reduction in ecological deficit. Spatially, ecological footprint and carrying capacity were higher in the northeast than in the southwest, and ecological pressure was higher in the eastern and western regions compared to the central area. (2) Grassland ecological footprint and footprint depth were relatively high, with a higher carrying capacity than other land types; however, the ecological deficit was severe, reaching a minimum value of −5 in 2019. (3) County-level factors had a significant impact on ecological footprint, carrying capacity, ecological balance, footprint depth, and ecological pressure, while year-level factors significantly influenced footprint depth and ecological pressure. (4) From 2013 to 2021, the ecological footprint significantly increased, while ecological carrying capacity notably improved from 2016 to 2021; however, ecological balance remained in a deficit. Footprint depth showed a significant increase from 2011 to 2016 and a significant decrease from 2016 to 2021, while ecological pressure significantly increased from 2011 to 2018 and then significantly decreased from 2018 to 2021. This study highlights the spatiotemporal dynamics of the ecological system in Xilingol League and provides scientific support for ecological management in arid and semi-arid regions. Full article

Governments and politicians are very concerned about the environmental sustainability of the energy sector, particularly with regard to oil and gas. To assist in achieving global climate objectives, the clean energy transition involves moving away from a fossil-fuel-based economy and toward one that is dominated by clean, renewable energy. This reduces carbon emissions. Here, we consider the moderating effects of natural resources, urbanization, and energy consumption between 1990 and 2022 as we analyze the impact of China’s energy transition and the external balance of goods and services on the country’s environmental quality. We used ARDL econometric techniques and present a thorough empirical investigation. Overall, the findings indicate that the ecological footprint is adversely correlated with energy transition, natural resource use, the external balance of goods and services, and renewable energy usage. Urbanization and the use of non-renewable energy, however, are positively associated with that footprint. The use of renewable energy sources, richness of natural resources, and energy transition all contribute to environmental sustainability. The sustainability of the environment is weakened by urbanization and non-renewable energy usage. It is recommended that policymakers facilitate the acceleration of the energy transition by utilizing renewable energy, promoting policies that create favorable conditions for the widespread adoption of renewables, and balancing the nation’s urban structure in a way that enhances self-sufficient urban development and ensures a sustainable future. Limitations of this study and future directions for research are outlined. Full article