Search Results (49,040)

The spatiotemporal dynamics of the Air Quality Index (AQI) and its response to vegetation regulation require further investigation. Using multi-source data from 2020 in Shandong Province, China, this study analyzed the effects of vegetation greenness (NDVI, LAI, EVI), ecological efficiency (Net Primary Productivity, NPP), and landscape structure on AQI within 3 km grids. Monthly correlation analyses revealed that AQI peaks in January (125.09), June (99.01), and December (105.81). PM_2.5, O₃, and PM₁₀ were the primary pollutants in winter, summer, and spring/autumn, respectively. Vegetation showed a significant purifying effect from June to September. NPP (r = −0.83) was more effective in mitigating air pollution than greenness-related indices (r = −0.48). Pollution mitigation was enhanced by vegetation patches with complex shapes and dispersed configurations. During the non-growing season, the vegetation alleviating effect weakened considerably, and a decoupling between greenness and ecological efficiency occurred. This decoupling was associated with a stronger positive correlation between population density and AQI. The findings highlight the importance of seasonal vegetation dynamics and landscape optimization for regional air quality management. Full article

Coagulation is a core technology for treating micro-polluted water containing algae and phosphorus. The development of a new coagulant is crucial for reducing operational costs in water treatment plants and similar enterprises. However, compared with traditional chemical coagulants, mineral-based materials have received relatively less attention in the development of high-efficiency coagulants, and their application potential remains to be fully explored, while traditional coagulants such as polyaluminum chloride (PAC) still dominate the market. This study investigated the effectiveness of a polysilicate aluminum ferric coagulant (PSAC) derived from volcanic rock. The influence of various parameters during synthesis and application on PSAC performance was examined, including NaOH dosage, polymerization temperature, silicic acid content, aging time, water environment pH, water quality type, and coagulant dosage. Performance was evaluated based on the removal efficiency of turbidity, UV₂₅₄, algae density, and total phosphorus. The results showed that the optimal preparation conditions for PSAC are: NaOH dosage of 8 mL, polymerization temperature of 60 °C, inclusion of silicic acid, aging for 72 h, and a pH range of 7–8. Under these conditions, the coagulant demonstrated high removal efficiency for the targeted pollutants. At a PSAC dosage of 80 mg/L, the removal rates for UV₂₅₄, algae, and total phosphorus were 90.2%, 99.2%, and 96.4%, respectively, with stable coagulation performance observed across different water qualities. Overall, PSAC exhibits good removal efficiency for UV₂₅₄, total phosphorus, and algae, indicating its great potential as a coagulant for water and wastewater treatment. Full article

The hematite phase decorated with iron-doped cerium oxide nanoparticles (F@FC) was precipitated from cerium and iron oxalate intermediate products. The photocatalytic composite of graphitic carbon nitride (gCN) and F@FC was prepared by a simple method involving mixing the two components, followed by thermal treatment at 400 °C. According to electron microscopy, F@FC is composed of a submicron iron oxide (hematite) phase decorated with iron-doped cerium oxide nanoparticles deposited on gCN substrate. A hierarchically structured composite was observed instead of a simple mechanical mixture of α-Fe₂O₃, Fe-CeO₂, and gCN. To observe two types of degradation activity, photocatalytic and Photo-Fenton degradation activity, Rhodamine B (RhB) was applied as the model water pollutant. The influence of the amount of photocatalyst, the RhB concentration, the presence of cations and anions, the pH, and the effect of e⁻, h⁺, •OH, and •O₂⁻ scavenging reactants were studied. The Photo-Fenton degradation exhibited high efficiency across the entire tested pH range, whereas photocatalytic degradation showed comparable activity only at acidic pH. The F@FC-gCN composite catalyst exhibited a high degree of recyclability. The degradation pathways of photocatalytic and Photo-Fenton reactions were suggested by HPLC-MS analysis of the reaction products. A notable finding of this study was the observation that the green-yellow, fluorescent intermediate Rhodamine 110 was formed during the photocatalytic degradation of RhB. However, the high reactivity of the generated •OH radicals during Photo-Fenton degradation has been demonstrated to inhibit the formation of intermediate Rhodamine 110. Full article

Heterogeneous catalytic degradation of organic dyes can effectively achieve the goals of reducing the chromaticity of aqueous solutions and completely removing pollutants. We here present a carbon-nitride-wrapped zero-valent Fe catalyst (CNFe), which can directly degrade Acid Red G (ARG) dye without additional oxidants. CNFe exhibited a nanotube-like morphology, wherein the zero-valent Fe (Fe⁰) was wrapped by a carbon layer to effectively enhance its dispersibility and prevent its oxidative deactivation. Meanwhile, the large specific surface area (169.19 m²/g), along with abundant active sites such as Fe and O, endowed CNFe with excellent activity. Under strongly acidic conditions, even in the presence of various anions, CNFe can still remove approximately 91.6% of ARG within 30 min. In a 10 h continuous flow column experiment, the removal efficiency of ARG consistently exceeded 67.6%, indicating that CNFe had great potential for treating actual dyeing wastewater. Catalytic mechanism studies showed that, under neutral conditions, CNFe mainly removed ARG through adsorption, whereas, under acidic conditions, the Fe⁰ in CNFe can not only activate molecular oxygen to generate HO· for the oxidative degradation of ARG but also remove ARG via reduction. Furthermore, CNFe can adsorb ARG through hydrogen bonding of surface hydroxyl groups. The developmental toxicity of the generated intermediates was effectively reduced, demonstrating lower environmental risks. Therefore, this study provided a simple, high-efficiency, and economical method for removing dyes from water, which can offer guidance for the treatment of practical dye wastewater. Full article

Natural by-products (NBPs), including pomace, peels, stems, and skins, account for over 50% of materials generated during fresh fruit processing. Most of these are discarded or landfilled, contributing to environmental pollution. NBPs are rich in bioactive compounds, including polyphenols and flavonoids, suggesting their potential as functional ingredients for health promotion. Accordingly, twelve types of NBPs from Korea were extracted with 70% ethanol. Each extract was comparatively evaluated at a uniform concentration for antioxidant, tyrosinase inhibition, and elastase inhibition activities. Anti-inflammatory and antimicrobial activities were additionally evaluated to identify extracts with superior overall activity profiles. Based on these findings, four extracts exhibiting the highest activities were combined, and the NBP complex was further tested for its antioxidant, anti-inflammatory, and antimicrobial effects. Although certain individual NBPs extracts showed strong activities, the NBP complex exhibited enhanced overall effects. These findings indicate that selected NBPs, both individually and in combination, possess significant potential as health-promoting functional ingredients. The study provides scientific evidence supporting the valorization of fruit processing residues into value-added products while addressing environmental concerns associated with their disposal. Full article

Background: Alzheimer’s disease (AD) remains an incurable disorder with severe clinical consequences. The type 3 diabetes hypothesis posits that AD may constitute a neuroendocrine disorder driven by disrupted insulin and insulin-like growth factor signaling. Amyloid pathogenesis in AD is characterized by the accumulation of beta-amyloid (Aβ) monomers, their subsequent oligomerization, and amyloid deposition. One of the causes of Aβ accumulation is disruption of amyloid precursor protein (APP) processing due to imbalance in ADAM10 and BACE1 expression. In recent years, increasing attention has been devoted to investigating the role of environmental factors in AD pathogenesis. The receptor for advanced glycation end products (RAGE) serves as a key molecular link between environmental exposure and neuroinflammatory pathology. Formaldehyde (FA) is one of the most widespread environmental pollutants. Its involvement in amyloid plaque formation has been previously reported; however, the molecular mechanisms underlying this process remain insufficiently understood. Moreover, most available data are based on prolonged FA exposure, whereas industrial FA emissions are often short-term. The objective of this study was to determine whether brief intranasal administration of FA, modeling episodic industrial pollution, induces RAGE-mediated neuroinflammation and amyloid deposition in CD1 mice. Methods: Mice received intranasal FA at environmentally relevant 0.02 mg/day or 0.2 mg/day doses for seven days; an additional group was co-treated with insulin. Cognitive function was assessed using passive avoidance (PA) and radial arm maze (RAM) tests, and synaptic plasticity was evaluated by electrophysiology. Hippocampal tissue was analyzed for RAGE expression, ADAM10/BACE1 gene balance, Aβ42 monomer levels, and amyloid deposits using optimized Thioflavin-S (Th-S) staining. Results: We observed cognitive decline in mice receiving intranasal FA administration. Elevated blood glucose levels were also observed following intranasal FA exposure. Sustained impairment of glucose metabolism led to overexpression of the RAGE in the hippocampus. There was also an imbalance of ADAM10 and BACE1 expression in the hippocampus. This was caused by overexpression of RAGE, as the enhanced interaction of the ligand and RAGE is a key factor disrupting this balance. Finally, Th-S staining confirmed amyloid deposition in mice subjected to intranasal FA exposure. Conclusions: This study provides new insights into the RAGE-mediated mechanisms by which FA contributes to the pathogenesis of AD. Full article

Gas flaring, the burning off gas coming out of oil wells is a common practice in oil-producing developing countries. This practice is harmful to human health, especially because of pollutants. This research focuses on Nigeria, where over 10 percent of all gas produced is flared and about 2 million people are estimated to live within 4 kilometres of a flare site. This paper uses child health data from Demographic Health Surveys and satellite-detected data on gas flaring to examine associations between flaring exposure and child morbidity, nutritional outcomes, and mortality among children under 5 years of age. The findings show a positive association between flaring and the incidence of respiratory diseases and fever among children under 5 years of age but no robust association with mortality. The study contributes to the literature measuring the wider cost to society of oil and gas production and adds to the body of work using satellite data to understand well-being in places where conventional data sources are unavailable. Full article

Pollution remains a major global public health concern increasingly associated with cancer incidence. This systematic review and meta-analyses examined the association between cancer risk and pollution across air, water, and land following the PRISMA guidelines. From 26,367 records initially identified in PubMed, Web of Science, and Scopus (January 2014–June 2025), 168 studies met the eligibility criteria. Meta-analyses conducted on 11 groups of studies revealed significant associations of lung cancer with fine particulate matter (HR_pooled = 1.347; 95% CI: 1.158–1.536), black carbon (HR_pooled = 1.096; 95% CI: 1.014–1.179) and ozone (HR_pooled = 0.941; 95% CI: 0.908–0.975), and breast cancer with nitrogen dioxide (HR_pooled = 1.064; 95% CI: 1.011–1.117). The association of ozone with cancer risks was inconsistent. While 155 studies reported on cancer risks from air pollution, only 10 studies focused on water pollutants and two on land pollutants, primarily heavy metals. Also, 79% of reviewed studies originated from only six high-income countries. The findings suggest that while particulate matter is a consistent risk factor, the global evidence base remains imbalanced based on pollution type and economic status of countries. Addressing these data gaps through targeted research in underrepresented regions and prioritizing the reduction of exposure to identified carcinogenic pollutants could reduce the global cancer burden. Full article

Traditional membrane separation materials suffer from drawbacks such as a high carbon footprint, significant energy consumption, membrane fouling, and the potential for secondary pollution. Under the dual drivers of carbon neutrality and carbon peak strategies, as well as the deepening of environmental governance, low-carbon membrane separation materials have emerged as a pivotal direction for the green transformation of membrane technology, leveraging their core advantages of green raw materials, low-energy preparation, and high application adaptability. This green transition is primarily achieved through the development of green raw materials and preparation processes, the enhancement of separation efficiency, and a reduction in operational energy consumption. Consequently, this review systematically summarizes the low-carbon design principles, key performance metrics, separation mechanisms, catalytic coupling technologies, and the recent application progress of several mainstream types of low-carbon membrane materials. It further identifies current bottlenecks in the research of low-carbon membrane materials such as performance trade-offs, challenges in scalable fabrication, and long-term operational instability. Finally, the review proposes future research directions aimed at developing novel membrane materials that integrate low-carbon attributes, excellent separation performance, and multifunctionality. Full article

In high-income countries, humans are continuously exposed to indoor and outdoor air pollution. Chronic exposure to these airborne solids and gases from natural or artificial sources is related to higher mortality. The objective of this work is to critically assess whether the association between indoor air pollution and death can support robust causal inference from a strict medico-legal perspective. We conducted a narrative review of existing literature on reported health consequences, autopsy and histopathological findings potentially linked to indoor air pollution exposure, and dose–response relationships and examined their role in criminal liability in Western countries. Despite prevention measures and regulations, establishing criminal liability for indoor air pollution remains arduous beyond a reasonable doubt given associative epidemiological evidence, translational biases, and non-specific autopsy findings. Further research on non-linear models and targeted forensic investigations is warranted. Full article

Intensive agriculture in semi-arid watersheds is considered a threat to global water security; however, the hydro-agronomic mechanisms that control diffuse pollution sources are often insufficiently characterized at the watershed scale. This study evaluates the hydrological response and nitrate leaching dynamics in the Upper Aguascalientes watershed by implementing the SWAT model, forced with meteorological data and calibrated using runoff derived from ERA5 reanalysis. Methodologically, the Potential Nitrate Leaching Risk Index (IRP_N) was formulated and coupled to the hydrological results. The comparative analysis shows that ERA captures the temporal dynamics of the HRUs, although it tends to significantly overestimate runoff volumes. The basin exhibits a marked scale-dependent duality, with the upper zone operating under a Hortonian regime, while the lower basin exhibits attenuation at the basin scale due to spatial integration and distributed storage processes. The $\left(IR{P}_N\right)$ analysis demonstrates a critical disconnect between fertilization rates (>1300 kg N·ha⁻¹) and crop absorption capacity, turning excess nitrogen into a rapid transport vector during runoff events. Finally, the results underscore the need to complement water management and infrastructure strategies with technical training programs and regulatory frameworks that promote modern agricultural practices aligned with the system’s retention capacity. Full article

The management of hazardous municipal solid waste incineration (MSWI) residues represents a critical challenge for sustainable development due to their increasing generation and environmental risk. At the same time, the cement industry faces urgent pressure to reduce CO₂ emissions associated with clinker production, creating a demand for alternative supplementary cementitious materials. The aim of this study was to evaluate the feasibility of valorising hazardous municipal solid waste incineration (MSWI) air pollution control fly ash (EWC 19 01 07*) as a constituent of Portland composite cement, in line with circular economy principles and the need to reduce CO₂ emissions associated with clinker production. The investigated fly ash, originating from flue gas cleaning processes, is characterised by high alkalinity and elevated concentrations of heavy metals, which currently necessitate controlled landfilling. To enable its safe reuse, the ash was subjected to high-temperature thermal treatment following granulation and subsequently incorporated into cement formulations under semi-industrial conditions. Two Portland composite cements were produced with different ash contents, corresponding to CEM II/A-07 and CEM II/B-07, while a Portland cement manufactured from the same clinker was used as a reference material. The chemical and phase composition of the ash before and after thermal treatment was analysed using XRF and XRD, supported by SEM/EDS observations. The results demonstrate that thermal treatment at 1150 °C induces partial phase stabilisation of APC fly ash without full vitrification, allowing its integration into cement systems under semi-industrial conditions. The incorporation of ash significantly alters hydration behaviour through increased water demand governed by particle porosity, CaO-rich phase composition, and early ionic interactions in the pore solution, leading to reduced workability and mechanical performance. While immobilisation efficiencies exceeding 99.5% were achieved for most heavy metals due to precipitation and incorporation into hydration products, barium exhibited persistent leaching controlled by its solubility under highly alkaline conditions and limited incorporation into C–S–H phases. These findings define both the technological feasibility and the key environmental constraints of APC fly ash utilisation in Portland composite cement. From a sustainability perspective, the proposed approach contributes to the reduction in hazardous waste landfilling and supports clinker substitution in cement production. The results demonstrate the potential of integrating waste management and low-carbon material design within a circular economy framework while highlighting current environmental limitations related to barium leaching. Full article

Indoor exposure to particulate matter (PM) is increasingly recognized as a major contributor to respiratory and cardiovascular risk, yet the relative contributions of outdoor pollution, building characteristics, and occupant behavior remain poorly resolved. PM₁ (aerodynamic diameter < 1 μm) warrants focus due to its higher alveolar deposition. “Evidence driven indoor air quality improvement” (EDIAQI) project aims to enhance indoor air quality guidelines and increase awareness by providing accessible data on exposure, pollution sources, and related risk factors. As part of the Zagreb pilot within the project, 103 paired indoor/outdoor PM₁ samples were analyzed. Seasonal analysis revealed substantial wintertime outdoor PM₁ spikes, while indoor medians remained stable. Chemometric analysis identified factors such as dwelling size, outdoor pollution, resuspension, building age/heating type, and urban context. Among the tested models, the validated gradient-boosted regressor (GBR) achieved the strongest performance, explaining ~65% variance in indoor PM₁ (test R² ≈ 0.65). Explainable machine learning analysis (SHAP) identified outdoor PM₁ levels, infiltration, and resuspension as the most influential predictors. Findings underscore wintertime outdoor emissions (e.g., residential heating and traffic) and dwelling-related and behavioral factors as key drivers, with the machine learning–environmental data integration enabling targeted residential IAQ management: optimized ventilation protocols, resuspension mitigation via behavior, and infiltration reduction through retrofits. Full article

Satellite remote sensing offers a cost-effective solution for the continuous monitoring of black and odorous water bodies (BOWs). However, limitations in spatial and spectral resolution hinder the quantitative inversion of water quality parameters and the precise assessment of risk levels using satellite data alone. To address this challenge, this study proposes a synergistic approach combining satellite and Unmanned Aerial Vehicle (UAV) remote sensing to rapidly identify potentially polluted water bodies and quantitatively assess their risk levels. First, a Black and Odorous Water Index (MBOWI) was constructed based on reflectance characteristics in the visible to near-infrared bands to screen for potential black and odorous water bodies using satellite imagery. Subsequently, high-resolution multispectral UAV imagery, integrated with in situ sampling data, was employed to develop machine learning models for inverting key water quality parameters, including Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), Total Phosphorus (TP) and Ammonia Nitrogen (NH₃-N). Comparative analysis of Polynomial Regression (PR), Random Forest (RF), and Simulated Annealing-optimized Support Vector Regression (SA-SVR) revealed that RF and SA-SVR exhibited superior performance in inverting four non-optically active water quality parameters due to their robust nonlinear fitting capabilities, with the mean Adjusted Coefficient of Determination ($R_{adj}^2$) ranging from 0.57 to 0.69. Water quality classification based on the single-factor worst-case method achieved an overall accuracy of 0.70 across validation samples. Notably, for Class V (heavily polluted) water bodies, both classification accuracy and recall rate reached 0.89, demonstrating the model’s high precision in identifying high-risk waters. Finally, the proposed framework was applied to northern Zhejiang Province to assess seven potential black and odorous water bodies, successfully identifying four as high-risk and one as low-risk. This study validates satellite and UAV synergistic remote sensing for the hierarchical risk management of black and odorous water bodies. Full article

Heavy metals in lake sediments represent typical persistent contaminants characterized by recalcitrance, bioaccumulation potential, and delayed toxic effects, thereby exerting sustained adverse impacts on lacustrine ecosystem stability and human health. Liuye Lake is a representative small-to-medium urban lake impacted by ambient domestic sewage discharge and agricultural non-point source pollution, with documented nitrogen and phosphorus enrichment. However, the contamination profile of heavy metals in its surface sediments has not been systematically investigated to date. In this work, surface sediment samples were collected from Liuye Lake, and nine heavy metal elements (As, Cd, Cr, Cu, Hg, Mn, Ni, Pb, Zn) were determined. An integrated approach incorporating Monte Carlo simulation, the geo-accumulation index (I_geo), and the enrichment factor (EF) method was employed to assess the ecological risk and human health risk imposed by these metals. The results revealed the following: (1) Average concentrations of eight heavy metals exceeded the background values of the Dongting Lake water system, with the exception of As, and Hg displayed potential localized anomalies. (2) Surface sediments were collectively categorized as slightly contaminated, with Hg identified as the primary pollutant, followed by minor contamination of Mn, Cr, and Ni; Monte Carlo simulation further suggested a probable risk that Mn contamination could progress to moderate levels. (3) All heavy metals posed low potential ecological risk, with an overall potential ecological risk index (RI) of 62.71, where Cd, Hg, and As were the dominant contributors. (4) Both non-carcinogenic and carcinogenic risks were generally within acceptable limits, whereas children exhibited higher non-carcinogenic susceptibility relative to adults; As and Mn were the leading contributors to non-carcinogenic risk, while Cr and As dominated carcinogenic risk. This study offers a scientific foundation for the prevention and control of heavy metal pollution and the ecological management of urban lakes. Full article