Search Results (163)

Clean and safe air quality is essential for public health, yet particulate matter (PM) significantly degrades air quality and poses serious health risks. The Gulf Cooperation Council (GCC) countries are particularly vulnerable to frequent and intense dust storms due to their vast desert landscapes. This study presents the first health risk assessment of carcinogenic and non-carcinogenic risks associated with exposure to PM2.5 and PM10 bound heavy metals and polycyclic aromatic hydrocarbons (PAHs) based on air quality data collected during the years of 2016–2018 near Dubai International Airport and Abu Dhabi International Airport. The results reveal no significant carcinogenic risks for lead (Pb), cobalt (Co), nickel (Ni), and chromium (Cr). Additionally, AI-based regression analysis was applied to time-series dust monitoring data to enhance predictive capabilities in environmental monitoring systems. The estimated incremental lifetime cancer risk (ILCR) from PAH exposure exceeded the acceptable threshold (10⁻⁶) in several samples at both locations. The relationship between visibility and key environmental variables—PM1, PM2.5, PM10, total suspended particles (TSPs), wind speed, air pressure, and air temperature—was modeled using three machine learning algorithms: linear regression, support vector machine (SVM) with a radial basis function (RBF) kernel, and artificial neural networks (ANNs). Among these, SVM with an RBF kernel showed the highest accuracy in predicting visibility, effectively integrating meteorological data and particulate matter variables. These findings highlight the potential of machine learning models for environmental monitoring and the need for continued assessments of air quality and its health implications in the region. Full article

Accurately identifying the sources of fine particulate matter (PM_2.5) pollution is crucial for pollution control and public health protection. Taking the PM_2.5 pollution event that occurred in Suzhou in June 2023 as a typical case, this study analyzed the characteristics and components of PM_2.5, and quantified the contributions of meteorological conditions, regional transport, and local emissions to the summertime PM_2.5 surge in a typical Yangtze River Delta (YRD) city. Chemical composition analysis highlighted a sharp increase in nitrate ions (NO₃⁻, contributing up to 49% during peak pollution), with calcium ion (Ca²⁺) and sulfate ion (SO₄²⁻) concentrations rising to 2 times and 7.5 times those of clean periods, respectively. Results from the random forest model demonstrated that emission sources (74%) dominated this pollution episode, significantly surpassing the meteorological contribution (26%). The Weather Research and Forecasting model combined with the Community Multiscale Air Quality model (WRF–CMAQ) further revealed that local emissions contributed the most to PM_2.5 concentrations in Suzhou (46.3%), while external transport primarily originated from upwind cities such as Shanghai and Jiaxing. The findings indicate synergistic effects from dust sources, industrial emissions, and mobile sources. Validation using electricity consumption and key enterprise emission data confirmed that intensive local industrial activities exacerbated PM_2.5 accumulation. Recommendations include strengthening regulations on local industrial and mobile source emissions, and enhancing regional joint prevention and control mechanisms to mitigate cross-boundary transport impacts. Full article

Enhancing solar photovoltaic (PV) power generation is fundamental to achieving energy sustainability goals. However, elevated module temperatures can diminish photoelectric conversion efficiency and output power, impacting the safe and efficient operation of PV modules. Therefore, understanding module temperature distribution is crucial for predicting power generation performance and optimizing cleaning schedules in PV power plants. To investigate the combined effects of multiple factors on the temperature distribution and output power of dusty PV modules, a heat transfer model was developed. Validation against experimental data and comparisons with the NOCT model demonstrated the validity and advantages of the proposed model in accurately predicting PV module behavior. This validated model was then employed to simulate and analyze the influence of various parameters on the temperature of dusty modules and to evaluate the module output power, providing insights into sustainable PV energy generation. Results indicate that the attenuation of PV glass transmittance due to dust accumulation constitutes the primary determinant of the lower temperature observed in dusty modules compared to clean modules. This highlights a significant factor impacting long-term performance and resource utilization efficiency. Dusty module temperature exhibits a positive correlation with irradiance and ambient temperature, while displaying a negative correlation with wind speed and dust accumulation. Notably, alignment of wind direction and module orientation enhances module heat dissipation, representing a passive cooling strategy that promotes efficient and sustainable operation. At an ambient temperature of 25 °C and a wind speed of 3 m/s, the dusty module exhibits a temperature reduction of approximately 11.0% compared to the clean module. Furthermore, increasing the irradiance from 200 W/m² to 800 W/m² results in an increase in output power attenuation from 51.4 W to 192.6 W (approximately 30.4% attenuation rate) for a PV module with a dust accumulation of 25 g/m². This underscores the imperative for effective dust mitigation strategies to ensure long-term viability, economic sustainability, and optimized energy yields from solar energy investments. Full article

The article provides a brief overview of technologies and methods for processing dispersed metallic waste generated during ferroalloy production, including high-carbon ferrochrome (HCFeCr). It is noted that the most cost-effective and rational method for reusing metallic dust is briquetting. Considering the development of briquetting technologies, as well as the latest equipment and binder materials involved in this process, aspiration dust from ferrochrome crushing can be fully utilized in metallurgical recycling. To verify this assumption, laboratory studies were conducted using polymer-based binders and liquid glass as a baseline option. The methodology of briquetting using both laboratory and industrial presses is described, along with an assessment of the mechanical properties of the briquettes. The studies indicate that the introduction of an inert filler (gas-cleaning dust) into the metallic dust composition improves the briquetting ability of the mixture by enhancing adhesion between metal particles and the binder. The obtained industrial briquette samples exhibit high mechanical strength, ensuring their further use in metallurgical processing. The study concludes that semi-dry briquetting using hydraulic vibropresses is a promising approach for the utilization of dispersed ferroalloy waste. Full article

The colour degradation of murals presents a significant challenge in the conservation of architectural heritage. Previous research has often concentrated on localized pigment changes while paying insufficient attention to the interaction between colour variation and indoor environmental conditions. Although non-destructive analytical techniques are widely used in heritage studies, their integrated application in combination with colourimetry has been limited, particularly in the context of Tibetan Buddhist murals in highland continental climates. This study investigates the murals of Liuli Hall in Meidai Lamasery, Inner Mongolia, as a representative case. We employed a comprehensive methodology that combines non-destructive analytical tools, gas chromatography–mass spectrometry, and quantitative colour analysis to examine pigment composition, binding material, and surface deterioration. Through joint analysis using the CIE Lab and CIE LCh colour space systems, we quantified mural colour changes and explored their correlation with material degradation and environmental exposure. The pigments identified include cinnabar, atacamite, azurite, and chalk, with animal glue and drying oils as binding materials. Colourimetric results revealed pronounced yellowing on the east and west walls, primarily caused by the ageing of organic binders. In contrast, a notable reduction in brightness on the south wall was attributed to dust accumulation. These findings support tailored conservation measures such as regular surface cleaning for the south wall and antioxidant stabilization treatments for the east and west walls. Initial cleaning efforts proved effective. The integrated approach adopted in this study provides a replicable model for mural diagnostics and conservation under complex environmental conditions. Full article

To comparatively evaluate the suitability of superhydrophobic and superhydrophilic coatings for photovoltaic (PV) module surfaces in arid and low-rainfall regions, this study investigates their dust deposition mitigation performance under anhydrous conditions and assesses the impact of dust reduction on PV power generation efficiency. An experimental platform for dust deposition and a PV output measurement system were constructed to evaluate the performance of coated PV modules. The open-circuit voltage (U_oc), short-circuit current (I_sc), maximum power (P_max), and dust deposition mass were measured before and after dust exposure. Additionally, the influence of coating properties on dust deposition behavior and the correlation between dust deposition density and PV output power were systematically examined. The experimental data reveal a linear relationship between PV output power loss and dust deposition density. Dust accumulation decreases monotonically with panel tilt angle, while displaying a non-monotonic response to wind speed, peaking at 3.9 m/s. Under optimal conditions (60° tilt angle and 5.2 m/s wind speed), minimal dust deposition densities were observed: 0.25 g/m² for superhydrophobic coated PV modules versus 1.11 g/m² for superhydrophilic coated surfaces. Both superhydrophobic and superhydrophilic coatings demonstrated effective dust deposition inhibition in anhydrous environments. However, the dust deposition mitigation efficiency of the superhydrophobic coating (88.7%) is significantly better than that of the superhydrophilic coating (46.2%) under the working conditions of a large inclination angle (60°) and high wind speed (5.2 m/s). These findings provide critical experimental evidence for optimizing self-cleaning coating selection in PV modules deployed in arid regions. Full article

Background/Objectives: A specially designed chamber setup for containment investigations of pharmaceutical dusts was recently developed. The aim of the present study was to optimize the measurement procedure with this chamber setup, focusing on the atomization parameters. The optimization was aimed at a maximization of the amount of detected dust and a minimization of the required sample mass. Methods: For this purpose, the safe surrogate substance acetaminophen was used for dust measurements. In addition to the atomization parameters investigated by a design of experiments, the cleaning of the chamber setup and the selection of two different types of acetaminophen with different physicochemical properties were examined. Results: By altering the cleaning method of the chamber setup, more than a tenfold increase of detected acetaminophen was observed. In addition, by selecting the more appropriate acetaminophen type, the totally detected acetaminophen amount was further increased by more than 25%. By means of the design of experiments two models were developed, one dealing with the atomization parameters with regard to the atomization effectiveness and the other describing their influence on the spatial dust distribution of acetaminophen. Based on the model for atomization effectiveness, the totally detected acetaminophen amount may be increased by more than double at a constant sample mass. Conclusions: In summary, the measurement procedure of the chamber setup was optimized in terms of the cleaning method, surrogate choice, and the adjustment of the atomization parameters, giving valuable insights to deepen our understanding of dustiness and the spatial distribution of dust in the context of containment. Full article

Coal dust seriously affects the underground working environment. The current water-spray dust reduction technology uses a large amount of water and has a poor effect on coal dust with poor wettability. This study proposed a clean and sustainable technology using plasma-activated water (PAW) to alter the wettability of coal dust and improve its dust control effect. The PAW was prepared and its physical and mathematical properties were tested by a device designed in-house. The influence of PAW on the wettability of coal dust was determined by the coal dust contact angle experiments. The effect of PAW on the surface morphology of coal dust was analyzed by a scanning electron microscope. The effect of PAW on the pore structure of coal dust was analyzed through the specific surface area and pore size experiments. The results showed that PAW contained a large number of active substances such as H₂O₂, NO₃⁻, and NO₂⁻, showing strong and stable oxidation. PAW could significantly reduce the instantaneous contact angle of coal dust, and the higher the degree of coal dust metamorphism, the more significant the reduction effect. The surface morphology, pore volume, specific surface area, and fractal dimension of the coal dust were significantly changed after PAW treatment. PAW could transform the non-uniform three-dimensional spatial distribution of the coal dust surface into an approximate two-dimensional planar distribution, thus enhancing the wettability of the coal dust. With the increase in PAW ionization intensity, the contact angle of long-flame coal was negatively correlated with the mesoporous pore volume. The contact angle of gas coal was negatively correlated with the micropore volume and micropore specific surface area, and was positively correlated with the mesopore volume. The contact angle of meager lean coal was positively correlated with the macropore specific surface area. The surface morphology, pore volume, specific surface area, and fractal dimension changes in coal dust treated with PAW can reveal the wettability enhancement mechanism to some extent. The results of the study can provide pre-theoretical guidance for the field application of PAW coal mine dust reduction technology. Full article

Climate change poses a significant risk to the environment and public health, leading to extreme weather patterns, rising sea levels, and loss of biodiversity. The relationship between air pollution from African dust and climate change demonstrates its critical role in trapping heat in the atmosphere, resulting in heat-related illnesses, heart problems, and respiratory issues. This research points to the detrimental effects of pollutants such as smog, dust, acid rain, and ozone depletion on ecosystems, highlighting the importance of using geographically weighted regression modeling and the MODIS-NDVI analysis to address air pollution. Particulate Matter (PM_2.5–10) and ozone levels can have negative impacts on respiratory and cardiovascular health. Proactive steps, such as implementing clean energy technologies and enforcing stricter pollution regulations, are necessary to protect public health. Acting is crucial to addressing these global challenges and creating a cleaner, healthier future for future generations, underscoring the need for climate justice commitment. Full article

Self-cleaning coatings for solar mirrors aim to reduce water usage for cleaning, cut down on maintenance costs for solar fields, and lower the overall electricity production costs in concentrated solar power (CSP) systems. Various approaches have been developed for mirrors with back surface (BSM) and front surface (FSM) architectures, all sharing the characteristic that the self-cleaning coating serves as the outermost layer, acting as a “skin” that protects against fouling. A recent trend in this field is to enhance this “skin” with sensing capabilities, allowing it to self-monitor its performance in terms of soiling or failure, contributing to the digitalization of solar fields and CSP technology. Building on previous work with auxetic aluminum nitrides and ZnO transparent composites, which were developed to replace alumina as the self-cleaning layer in BSMs, this study explores the potential of adding sensing properties to these coatings. The approach leverages the piezoelectric properties of the materials, which can be linked to dust accumulation and surface soiling, as well as their electrical resistive behavior, which can help monitor potential failures. The promising d33 values of sputtered piezoelectric AlN and the tailored electrical properties of ZnO composites, combined with their self-cleaning effects and optical clarity across the full solar spectrum, suggest that these coatings could serve as an intelligent, self-aware skin for solar mirrors. Full article

Urban soiling, consisting of dust, industrial byproducts, and other pollutants, presents a significant risk to the effectiveness and safety of solar energy systems. To achieve the goal of net zero, having renewable energy systems such as solar panels in urban environments can help. This review will examine the composition and variety of urban soiling and evaluate its impact on PV installation. The study will analyze the efficiency loss attributable to soiling, focusing on its impact on small-scale installations such as rooftops, building integrated photovoltaics (BIPVs), and large-scale urban solar installations. Furthermore, this study will also investigate various developing technologies and strategies to reduce the effects of urban soiling. This encompasses the examination of automated cleaning systems and robotic maintenance, with a specific focus on their potential effectiveness. This review aims to underline the importance of addressing urban soiling within the framework of sustainable urban development and the expansion of solar energy, with further research into the development of soiling mitigation technologies. Finally, soil management and further research gaps will be discussed. Full article

Background/Objectives Using genotoxicity tests and oxidative stress indicators, the study evaluated the relationship between healthcare workers’ (HCWs) exposure to chemical risks. This study aimed to evaluate the oxidative damage and genotoxic effects of sub chronic or long-term volatile organic compounds (VOCs) exposure in HCWs. Methods: Pathology workers (Group 1), cleaning workers (Group 2), and medical secretaries (Group 3) were categorized, and VOCs and alkaline dust were measured for Groups 1 and 2 using appropriate occupational hygiene methods. Genotoxicity was assessed using alkaline comet and micronucleus (MN) assays. Oxidative stress indicators were analyzed in first-morning urine samples through liquid chromatography. Results: A total of 90 HCWs participated in the study. The mean R-cdA levels were 0.05 ± 0.02 for medical secretaries, 0.07 ± 0.03 for cleaning workers, and 0.06 ± 0.07 nmol/mmol creatinine for pathology workers (p = 0.040). The mean tail intensity (%) was 16.33 ± 10.68 (Group 1), 18.9 ± 7.4 for cleaning workers, and 14.1 ± 6.5 for medical secretaries (p = 0.020). Conclusion: Implementing occupational hygiene measures in the working environment has effectively reduced occupational risks. The lack of significant differences in genotoxicity and oxidative stress parameters between the exposed and control groups supports the notion that the exposure limit values are protective. Full article

As the adoption of solar photovoltaic systems continues to increase, the efficiency and reliability of these systems under real-world conditions become paramount. This paper presents a comprehensive study on the influence of dust deposition on PV panel performance, based on an innovative dust-related power loss sensor. A dust coefficient is defined, which gives the percentage loss in energy generation due to dust accumulation. This coefficient, obtained from the dust-related power loss sensor, was validated in this study in two ways: correlation with weather events monitored using data derived from a custom-built weather station and correlation with the outputs from an eight-panel reference system. Pairs of PV panels in this eight-panel system were subjected to four distinct cleaning schedules, and the energy generation from each pair was monitored. The results showed that the data from the dust-related power loss sensor system presented here are a reliable indicator of energy losses due to dust accumulation. The dust coefficient can thus be used as a real-time parameter that enables the creation of informed cost-effective cleaning schedules for large PV farms. Full article

In this work, we demonstrate an advanced light management strategy for bifacial perovskite solar cells incorporating a silica-based anti-dust and anti-reflection (AR) coating. The silica layer provides dual functionality, enhancing optical efficiency through effective reflection suppression and protecting the solar cell surface from environmental contaminants, especially dust. The hydrophobic nature of the silica coating further prevents accumulation of dust and particulate matter, supporting a self-cleaning mechanism that maintains cell transparency and performance over extended periods. The simulation results indicated that transitioning from a monofacial to a bifacial design with a silica layer on top had a considerable impact on the PSC performance. The optimized bifacial structure demonstrated high-performance metrics, achieving a voltage of 1.35 V, a fill factor of 84.24%, a current density (J_SC) of 29.10 mA/cm², and a power conversion efficiency of 31.00% when illuminated from the electron transport layer side. When illuminated from the hole transport layer side, the structure attained an efficiency of 22.00% with a calculated bifaciality factor (BF) of 72.12%, highlighting the potential of bifacial PSC design. Our findings reveal that the addition of the silica layer led to a notable improvement in light harvesting efficiency. Full article

This paper aims to assess the temporal and spatial variability of particulate matter (PM) concentrations (PM_2.5 and PM₁₀) at several rural and urban monitoring sites located in Portugal between 2011 and 2022. The exceedances to European Union Directive limits and World Health Organization (WHO) air quality guidelines were also evaluated. Higher PM concentrations were observed mainly at urban sites (e.g., up to 156 exceedances of the WHO PM_2.5 guideline for daily average concentrations were recorded in a year), with the main contributions being from traffic emissions and industrial activities. On the other hand, the lower number of exceedances at rural sites can be attributed to long-range transport (e.g., Saharan dust) and wildfires. Temporal trends showed that PM_2.5 concentrations decreased by up to 0.6 µg/m³ per year, while PM₁₀ reductions reached 1.0 µg/m³ per year at certain sites, showing the effectiveness of air quality policies and clean technology advancements. Also, the number of exceedances of the air quality guideline of WHO for PM_2.5 at urban traffic sites like Entrecampos decreased from 140 in 2015 to 15 in 2022. Principal component analysis grouped the air monitoring sites based on PM variability. These findings provide a comprehensive understanding of the temporal variation of PM concentration, contributing to air quality management strategies and the design of mitigation measures. Full article