Search Results (1,061)

The construction industry is a major contributor to environmental degradation, primarily due to the substantial volumes of construction waste (CW) generated on-site. As sustainability becomes a global imperative aligned with the UN 2030 Agenda, identifying and mitigating the root causes of CW is essential. This study adopts a cross-disciplinary approach to explore the drivers of CW and support more effective, sustainable waste reduction strategies. A systematic literature review was conducted to extract 25 key CW source factors from academic publications. These were analyzed using Social Network Analysis (SNA) to reveal their structural relationships and relative influence. The results indicate that the lack of structured on-site waste management planning, accumulation of residual materials, and insufficient worker training are among the most influential CW drivers. Comparative analysis with industry data highlights theoretical–practical gaps and the need for improved alignment between research insights and site implementation. This paper recommends the adoption of tiered waste management protocols as part of contractual documentation, integrating Building Information Modeling (BIM)-based residual material traceability systems, and increasing attention to workforce training programs focused on material handling efficiency. Future research should extend SNA frameworks to sector-specific waste patterns (e.g., pavement or demolition projects) and explore the intersection between digital technologies and circular economy practices. The study contributes to enhancing waste governance, promoting resource efficiency, and advancing circularity in the built environment by offering data-driven prioritization of CW sources and actionable mitigation strategies. Full article

Against the backdrop of global commitments to sustainable development and carbon neutrality objectives, the agricultural sector faces compelling imperatives to transition toward environmentally sustainable and resource-efficient production systems. Focusing on the critical role of agricultural inputs, this study investigates how China’s Zero Growth Policy for Fertilizer and Pesticide Use (ZGP), implemented in 2015, influences green transformation in the agricultural inputs sector through a quasi-natural experiment framework. Employing a staggered difference-in-differences (DID) design with comprehensive nationwide firm registration data from 2013 to 2020, we provide novel micro-level evidence on environmental regulation’s market-shaping effects. Our findings demonstrate that the ZGP significantly enhances green market selection, stimulating entry of environmentally certified firms, with effect heterogeneity revealing policy impacts are attenuated in manufacturing-intensive regions due to green entry barriers, while being amplified in major grain-producing areas and more market-oriented regions. Mechanism analyses identify three key transmission channels: intensified regulatory oversight, heightened public environmental awareness, and growing market demand for sustainable inputs. Furthermore, the policy has induced structural transformation within the industry, progressively increasing green enterprises’ market share. These results offer valuable insights for designing targeted environmental governance mechanisms to facilitate sustainable transitions in agricultural input markets. Full article

Inflammatory bowel diseases (IBDs), such as ulcerative colitis, and Crohn’s disease are chronic idiopathic inflammatory diseases of the gastrointestinal system involving interaction between genetic and environmental factors mediating the occurrence of oxidative stress and inflammation. There is no permanent cure for IBD except long-term treatment or surgery (resection of the intestine), and the available agents in the long term appear unsatisfactory and elicit numerous adverse effects. To keep the disease in remission, prevent relapses and minimize adverse effects of currently used medicines, novel dietary compounds of natural origin convincingly appear to be one of the important therapeutic strategies for the pharmacological targeting of oxidative stress and inflammation. Therefore, it is imperative to investigate plant-derived dietary agents to overcome the debilitating conditions of IBD. In the present study, the effect of α-Bisabolol (BSB), a dietary bioactive monoterpene commonly found in many edible plants as well as important components of traditional medicines, was investigated in acetic acid (AA)-induced colitis model in rats. BSB was orally administered to Wistar male rats at a dose of 50 mg/kg/day either for 3 days before or 30 min after induction of IBD for 7 days through intrarectal administration of AA. The changes in body weight, macroscopic and microscopic analysis of the colon and calprotectin levels in the colon of rats from different experimental groups were observed on day 0, 2, 4, and 7. The levels of myeloperoxidase (MPO), a marker of neutrophil activation, reduced glutathione (GSH) and malondialdehyde (MDA), a marker of lipid peroxidation, and the levels of pro-inflammatory cytokines were measured. AA caused a significant reduction in body weight and induced macroscopic and microscopic ulcers, along with a significant decline of endogenous antioxidants (superoxide dismutase (SOD), catalase, and GSH), with a concomitant increase in MDA level and MPO activity. BSB significantly improved the AA-induced reduction in body weight, colonic mucosal histology, inhibited MDA formation, and restored antioxidant levels along with a reduction in MPO activity. AA also induced the release of pro-inflammatory cytokines such as interleukin-1 (IL-1), interleukin-23 (IL-23) and tumor necrosis factor-α (TNF-α). Furthermore, AA also increased levels of calprotectin, a protein released by neutrophils under inflammatory conditions of the gastrointestinal tract. BSB treatment significantly reduced the release of calprotectin and pro-inflammatory cytokines. The findings of the present study demonstrate that BSB has the potential to improve disease activity and rescue colonic tissues from damage by inhibiting oxidative stress, lipid peroxidation and inflammation. The findings are suggestive of the benefits of BSB in IBD treatment and substantiate its usefulness in colitis management, along with its gastroprotective effects in gastric ulcer. Full article

Rising global populations, infrastructural development, and rapid urbanization have heightened the reliance on a linear economy, resulting in severe environmental and human impacts. This crisis has triggered an urgent quest for sustainable and ecologically benign innovations, as outlined in the United Nations’ Sustainable Development Goals (SDGs). This review investigates the potential of sugarcane bagasse (SCB) as a promising feedstock for advancing circular bioeconomy initiatives in South Africa. It shows how this copious bioresource can be utilized to enhance the country’s biobased value chains by producing bio-commodities, such as biofuels and platform chemicals. The review also identifies the driving forces behind the circular bioeconomy model within the South African sugarcane industry. To achieve the circular bioeconomy, it outlines essential technological prerequisites, including critical pretreatment strategies and emerging bio-innovations necessary for the effective valorization of SCB. Furthermore, it showcases the R&D and commercial strides that have been achieved in South Africa. Finally, the study covers techno-economic studies that corroborate the economic viability of this domain. In conclusion, harnessing SCB not only presents a viable biorefinery pathway towards sustainable economic growth but also contributes to environmental preservation and social well-being, aligning with global sustainability imperatives. The successful integration of these innovative approaches could play a pivotal role in transforming the South African sugarcane industry into a continental leader in circular bioeconomy innovations. Full article

Architecture can play a pivotal role in addressing the climate crisis by embedding sustainable design principles that reduce environmental impact and enhance resilience. Beyond ecological considerations, architectural interventions are crucial in developing structures capable of withstanding extreme weather events—and thereby mitigating the displacement of vulnerable populations. This study emphasizes the importance of tailoring architectural responses to the specific environmental challenges and evolving needs of rural communities. Drawing on the Perceived Values and Climate Change Resilience Dataset collected in Siaya County, Kenya, the research explores local perceptions of climate change and how these shape housing priorities. Among 300 respondents, 83% express concern about climate change, identifying drought as the most pressing environmental threat. The evolving desire for housing solutions that respond to specific needs highlights the need for more secure housing. This specifically calls for improvements in watertightness, pest resistance (especially against termites), and overall structural durability, as well as reducing maintenance effort, enabling houses to be enlarged, and improving their aesthetics. These findings provide critical insights into how rural populations in western Kenya are experiencing and responding to climate-related stressors. By foregrounding community perspectives, the study informs the development of adaptive, resilient, and contextually appropriate architectural solutions. It contributes to broader discourses on climate adaptation, vernacular design, and inclusive development strategies in Sub-Saharan Africa, reinforcing the imperative to align architectural innovation with both environmental imperatives and cultural realities. Full article

Ensuring the structural safety of components or facilities is essential for the smooth operation of industrial production and transportation. As a key index to evaluate structural health, the crack depth detection method has evolved from the early single physical field detection to the contemporary multi-physical field collaborative artificial intelligence algorithm. This paper presents a systematic review of crack depth detection technology under specific engineering conditions, such as those found in roads, train tracks, and engine blades. The framework categorizes and reviews detection technology according to detection principles, including physical principles, model inversion, hybrid methods, and evaluation indicators such as detection accuracy, speed, and cost. The paper compares various detection technologies, highlighting their advantages and limitations in real-world applications. The analysis reveals key challenges, which include complex environmental interference, the detection of microcracks and deep cracks, and the balance between accuracy and cost. Addressing these challenges is imperative to improving the reliability and generalization of detection technology. This paper proposes future research directions focusing on integrating multi-physical field detection with artificial intelligence, utilizing AI’s robust capabilities to develop more advanced methods for detecting crack depth. Full article

The use of hydrogel and biostimulants holds great potential for plants’ adaptation to stressful urban conditions, increasing their tolerance to drought stress. In this study, we investigated the plant performance and anatomical response of Petunia × hybrida hort. ex E. Wilm., cultivated under different substrate volumes and compositions, hydrogel amendments, and biostimulant treatments, as well as their interactions under drought stress. Namely, the plants were planted in pots with a substrate depth of 7 cm and 10 cm and cultivated under different combinations of organic (peat) and inorganic (perlite) substrates. Moreover, half of the plants were subjected to hydrogel and biostimulant treatments. Different watering intervals (24–96 h) were applied in combination with exposing the plants to direct sunlight for 8–10 h. The results showed that a larger substrate depth, along with hydrogel and biostimulant amendments in a mixture of perlite and peat, helps plants adapt to dry conditions when grown in shallow substrates, providing optimal water availability and thus contributing to the physiological adaptation of plants to water deficit. The study clearly demonstrates that substrate selection and irrigation frequency must be jointly optimized to ensure resilient urban greening. Hydrogels stand out as essential amendments, enabling significant water savings by extending irrigation intervals without compromising vascular growth or drought resilience. These water-efficient substrate strategies are vital for sustainable urban vegetation management, especially as cities face increasing environmental pressures and the imperative of climate adaptation, thereby supporting multiple Sustainable Development Goals. Full article

This study investigates the impact of environmental changes induced by systematic manipulation of flooding depth and breeding density on greenhouse gas emissions in the field-based giant rice–fish hybrid farming model. Compared with traditional agricultural practices, increasing cultured density in giant rice–fish co-cultivation significantly alleviated the adverse consequences of flooding on soil nutrient dynamics, microbial activity community structure, and greenhouse gas emissions. Relative to the traditional alternating wet and dry irrigation, the soil concentrations of ammonium, total nitrogen, and phosphate significantly increased. Cultured fish had significantly increased soil microbial biomass carbon, nitrogen, and phosphorus contents and improved soil β-glucosidase and aryl-sulfatase activates relative to flooding alone. Cultured fish increased the relative abundances of Actinobacteria, Nitrospirae, Planctomycetes, Verrucomicrobia, and Aminicenantes. An increasing cultured fish density reduced cumulative methane and nitrous oxide emissions and GWP (global warming potential). Relative to the continuous flooding throughout the growing period, cumulative methane emissions and GWP in the flooding with high-density cultured fish were reduced by 5.32% and 1.48%, respectively. Notably, this co-cultivation strategy has the potential to transform traditional practices for sustainable agriculture. Nevertheless, it is imperative to remain vigilant about the potential consequences of greenhouse gas emissions associated with these innovative practices. Continuous monitoring and refinement are essential to ensure the long-term sustainability and viability of this agricultural approach. Full article

Artificial intelligence (AI) is playing an increasingly important role in driving sustainable change across coastal and marine environments. Artificial intelligence offers strong support for environmental decision-making by helping to process complex data, anticipate outcomes, and fine-tune day-to-day operations. In busy coastal zones such as the Mediterranean where tourism and boating place significant strain on marine ecosystems, AI can be an effective means for marinas to reduce their ecological impact without sacrificing economic viability. This research examines the contribution of artificial intelligence toward the development of environmental sustainability in marina management. It investigates how AI can potentially reconcile economic imperatives with ecological conservation, especially in high-traffic coastal areas. Through a focus on the impact of social and technological context, this study emphasizes the way in which local conditions constrain the design, deployment, and reach of AI systems. The marinas of Ibiza and Monaco are used as a comparative backdrop to depict these dynamics. In Monaco, efforts like the SEA Index^® and predictive maintenance for superyachts contributed to a 28% drop in CO₂ emissions between 2020 and 2025. In contrast, Ibiza focused on circular economy practices, reaching an 85% landfill diversion rate using solar power, AI-assisted waste systems, and targeted biodiversity conservation initiatives. This research organizes AI tools into three main categories: supervised learning, anomaly detection, and rule-based systems. Their effectiveness is assessed using statistical techniques, including t-test results contextualized with Cohen’s d to convey practical effect sizes. Regression R² values are interpreted in light of real-world policy relevance, such as thresholds for energy audits or emissions certification. In addition to measuring technical outcomes, this study considers the ethical concerns, the role of local communities, and comparisons to global best practices. The findings highlight how artificial intelligence can meaningfully contribute to environmental conservation while also supporting sustainable economic development in maritime contexts. However, the analysis also reveals ongoing difficulties, particularly in areas such as ethical oversight, regulatory coherence, and the practical replication of successful initiatives across diverse regions. In response, this study outlines several practical steps forward: promoting AI-as-a-Service models to lower adoption barriers, piloting regulatory sandboxes within the EU to test innovative solutions safely, improving access to open-source platforms, and working toward common standards for the stewardship of marine environmental data. Full article

Establishing a sustainable framework for remediating environmental degradation caused by historical mining operations in the Sierra Minera of Cartagena-La Unión, southeastern Spain, is a critical imperative. When the reclamation requirements of the post-mining district are considered in the context of its critical location, nested among conflicting land uses, the development of practical solutions to restore ecological and cultural functions emerge as a landscape planning challenge. The greenway approach emphasizes the primary ecological and functional corridors that sustain the vitality of the region; therefore, it is essential to preserve and enhance these critical lifelines. This study aimed to design a localized greenway network to support the conservation of key ecological, agricultural, and cultural resources within the area, while simultaneously promoting reclamation activities in degraded zones. The greenway corridor is built upon key elements: conservation areas, post-mining cultural resources, dry riverbeds, and agricultural zones. In the light of greenway approach, planners and land managers can make their decisions more judiciously by considering the priority zones. The protection, leveraging, and reclamation of significant resources can be provided through a multifunctional greenway approach as seen in the case of Cartagena-La Unión Post-Mining District. Full article

The use of agrochemicals in agriculture is widespread globally, as it enables increased crop yields. However, they also contain heavy metals such as copper and nickel, which can leach into the drinking water and harm the environment and human health. As such, it is imperative that they are removed from drinking water. One way to achieve this is through adsorption using biosorbents. This proof-of-concept study aimed to synthesize and characterize environmentally friendly hydrogels from sodium alginate (SA) and pomegranate peel powder (PPP). The gels were characterized using Fourier-Transform Infrared Spectroscopy (FTIR), Scanning Electron Microscopy (SEM), and water uptake tests. The FTIR analysis confirmed the presence of the expected functional groups, SEM revealed that incorporating PPP enhanced the roughness and porosity of the gels, and gels with PPP incorporation were able to absorb 1.58 times more water than SA-only gels. Moreover, their ability to remediate copper and nickel from contaminated water was tested. Here, the effects of contact time, pH, and adsorbent amount were tested for copper, demonstrating that the optimal contact time was 60 min, the optimal pH was ~5, and 0.01 g of adsorbent was needed for optimal adsorption. The effect of contact time was tested for nickel, and it was found that the optimal contact time was 5 min. Overall, these gels show promising results for the remediation of copper and nickel from contaminated water. Full article

Environmental protection is one of the key challenges facing mankind today. Finding out what young people, referred to as Generation Z, think about this issue is extremely important, as they will be the first to experience the negative effects of environmental degradation. Research has shown that Generation Z has the greatest hope for solutions from the technological sphere. Thus, the economic and political spheres should support the development of technology in this area. The social sphere is rated lowest, which may reflect young people’s personal withdrawal and the delegation of responsibility for the environment’s future to engineers, entrepreneurs, and politicians. It is equally important to learn what constitutes an environmental imperative for Generation Z. It is based on new energy sources, energy producers, and the state’s pursuit of a policy of international cooperation in this area, supported by national legislative activity toward entrepreneurs and citizens. Research has demonstrated the need to raise awareness among young people, with a focus on individuals treated as subjects in their interaction with modern technology. Full article

Heavy metal pollution, particularly copper contamination, threatens the ecological environment and human survival. In response to this pressing environmental issue, the development of innovative remediation strategies has become imperative. Bioremediation technology is characterized by remarkable advantages, including its ecological friendliness, cost-effectiveness, and operational efficiency. In our previous research, Rossellomorea sp. ZC255 demonstrated substantial potential for environmental bioremediation applications. This study investigated the removal characteristics and underlying mechanism of strain ZC255 and revealed that the maximum removal capacity was 253.4 mg/g biomass under the optimal conditions (pH 7.0, 28 °C, and 2% inoculum). The assessment of the biosorption process followed pseudo-second-order kinetics, while the adsorption isotherm may fit well with both the Langmuir and Freundlich models. Cell surface alterations on the Cu(II)-treated biomass were observed through scanning electron microscopy (SEM). Cu(II) binding functional groups were determined via Fourier transform infrared spectroscopy (FTIR) analysis. Simultaneously, the genomic analysis of strain ZC255 identified multiple genes potentially involved in heavy metal resistance, transport, and metabolic processes. These studies highlight the significance of strain ZC255 in the context of environmental heavy metal bioremediation research and provide a basis for using strain ZC255 as a copper removal biosorbent. Full article

In the context of both domestic and international economic landscapes, regional policy has emerged as an increasingly influential factor shaping the developmental trajectories of Chinese enterprises. Despite its growing significance, the extant literature lacks a comprehensive and systematically visualized synthesis that encapsulates the scope and trends of research in this domain. This study addresses this critical gap by conducting an integrative bibliometric and qualitative review of the academic output related to regional policy and Chinese firm growth. Drawing on a final dataset comprising 3428 validated academic publications—selected from an initial pool of 3604 records retrieved from the Web of Science Core Collection between 1991 and 2022, the research employs a two-stage methodological framework. In the first phase, advanced bibliometric tools, and software applications, including RStudio, Bibliometrix, VOSviewer, and CitNetExplorer, are utilized to implement techniques such as keyword co-occurrence analysis, thematic clustering, and the tracing of thematic evolution over time. These methods facilitate rigorous data cleansing, breakpoint identification, and the visualization of intellectual structures and emerging research patterns. In the second phase, a targeted qualitative review is conducted to evaluate the influence of regional policies on Chinese firms across three critical stages of business development: start-up, expansion, and maturity. The findings reveal that regional policy interventions generally exert a positive influence on firm performance throughout all stages of development. Notably, a significant concentration of citation activity occurred prior to 2017; however, post-2017, the volume of scholarly publications, journal-level impact (as measured by h-index), and author-level influence experienced a marked increase. Among the 3428 analyzed publications, a substantial portion—2259 articles—originated from Chinese academic institutions, highlighting the strong domestic research interest in the subject. Furthermore, since 2015, there has been a discernible shift in keyword co-occurrence trends, with increasing scholarly attention directed towards sustainable development issues, particularly those related to carbon dioxide emissions and green innovation, reflecting evolving policy priorities and environmental imperatives. Full article

Synthetic aperture radar (SAR) systems are of paramount importance to remote sensing applications, including Earth observation and environmental monitoring. Accurate calibration of these systems is imperative to ensuring the accuracy and reliability of the acquired data. A central component of the calibration process is the antenna model, which serves as a fundamental reference for characterizing the radiation pattern, gain, and overall performance of SAR systems. The present paper sets out to describe the implementation and validation of a phased-array antenna model for Synthetic Aperture Radar Systems (SARAS) in MATLAB R2024a. The antenna model was developed for utilization in the Spanish Earth observation missions PAZ and PRECURSOR-ECO. The antenna model incorporates a number of functions, which are divided into two primary modules: the first of these is the antenna pattern generation (APG) module, and the second is the antenna excitation generation (AEG) module. The present document focuses on the AEG, the function of which is to generate patterns for all required beams. These patterns are optimized and matched to specific calculated masks using an ad hoc genetic algorithm (GA). In consideration of the aforementioned factors, the AEG module generates a set of complex excitations corresponding to the required beam from different satellite operational beams, based on several radiometrically defined parameters. Full article