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Search Results (384)

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28 pages, 7925 KiB  
Article
Assessment of Soil Loss Due to Wind Erosion and Dust Deposition: Implications for Sustainable Management in Arid Regions
by Abdulhakim J. Alzahrani, Abdulaziz G. Alghamdi and Hesham M. Ibrahim
Appl. Sci. 2024, 14(23), 10822; https://doi.org/10.3390/app142310822 - 22 Nov 2024
Viewed by 340
Abstract
Soil loss due to wind erosion and dust deposition has become a growing concern, particularly in arid regions like Al-Baha, Saudi Arabia. The aim of this study was to quantitatively assess soil loss and dust deposition using three different dust collection methods across [...] Read more.
Soil loss due to wind erosion and dust deposition has become a growing concern, particularly in arid regions like Al-Baha, Saudi Arabia. The aim of this study was to quantitatively assess soil loss and dust deposition using three different dust collection methods across 20 sites during the summer of 2022. The methods include Big Spring Number Eight (BSNE), which measures airborne dust particles using passive samplers; Surface Dust Collector (SDC), designed to collect dust settling on the ground surface; and Marble Dust Collector (MDCO), which utilizes marble-coated surfaces to trap and measure dust deposition. These methods collectively provide a comprehensive evaluation of dust dynamics in the study area. The objective was to evaluate the effects of wind erosion and dust deposition on soil properties, offering insights into the mechanisms of soil loss in arid environments. The study revealed significant variations in soil characteristics, including low organic matter content (<1%), high calcite (up to 19.62%), and increased salinity levels, with notable quantities of Cl (211.58 meq kg⁻1) and Na (165.98 meq kg⁻1). July showed the highest dust deposition (0.0133 ton ha−1), particularly at site S11, while soil loss was lowest at site S5. This research offers novel insights into the nonlinear relationship between soil loss and time, contributing to sustainable soil management strategies. By aligning with Saudi Arabia’s Vision 2030 and the Sustainable Development Goals (SDGs), the findings underscore the need to mitigate soil loss to enhance environmental sustainability, prevent desertification, and promote long-term resilience in arid regions. Full article
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<p>Administrative boundaries of Al-Baha region and its affiliated governorates.</p>
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<p>A geological map of Kingdom of Saudi Arabia (KSA) showing a clearer representation of the geological domains and their extent within the Al-Baha region.</p>
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<p>Locations of sample collection from all 20 sites where the dust-sampling methods were employed. Colored lines represent contours in meters, illustrating the topographical variations across the study area.</p>
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<p>Dust-collection instruments and their deposition mechanisms: (<b>A</b>) Big Spring Number Eight (BSNE) Dust Collector, capturing airborne dust at various heights; (<b>B</b>) Surface Dust Collector (SDC), collecting surface dust directly affected by wind; and (<b>C</b>) Marble Dust Collector (MDCO), utilizing marble trays to capture deposited dust.</p>
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<p>The least significant difference (LSD) values at <span class="html-italic">p</span> &lt; 0.05 for the amount of dust (ton h<sup>−1</sup>) collected by the variable dust collector devices at the different sites.</p>
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<p>Mineralogical composition (XRD) of collected soil samples from the studied location (S1 to S20 are the study sites).</p>
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<p>Classification of study area based on contour lines (<b>A</b>), slope degree (<b>B</b>), soil type (<b>C</b>), and stream orders (<b>D</b>). Each panel provides insights into the geographical and environmental characteristics that influence dust-erosion and soil-formation processes in the Al-Baha region.</p>
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<p>Classification of study area based on contour lines (<b>A</b>), slope degree (<b>B</b>), soil type (<b>C</b>), and stream orders (<b>D</b>). Each panel provides insights into the geographical and environmental characteristics that influence dust-erosion and soil-formation processes in the Al-Baha region.</p>
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<p>Soil loss across studied sites (S1–S20) due to the falling dust in terms of wind. Erosion (<b>A</b>), wind surface disturbance (<b>B</b>), and dust deposition (<b>C</b>).</p>
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<p>The sensitivity of various sites in the Al-Baha region to wind erosion (<b>A</b>), wind surface disturbance (<b>B</b>), and dust deposition (<b>C</b>), measured in tons per hectare (ton ha<sup>−1</sup>).</p>
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<p>The sensitivity of various sites in the Al-Baha region to wind erosion (<b>A</b>), wind surface disturbance (<b>B</b>), and dust deposition (<b>C</b>), measured in tons per hectare (ton ha<sup>−1</sup>).</p>
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14 pages, 1503 KiB  
Article
Determination of Polycyclic Aromatic Hydrocarbons from Atmospheric Deposition in Malva sylvestris Leaves Using Gas Chromatography with Mass Spectrometry (GC-MS)
by Giuseppe Ianiri, Alessandra Fratianni, Pasquale Avino and Gianfranco Panfili
Atmosphere 2024, 15(12), 1402; https://doi.org/10.3390/atmos15121402 - 22 Nov 2024
Viewed by 257
Abstract
Plant leaves can be used to determine the atmospheric deposition of organic contaminants, including polycyclic aromatic hydrocarbons (PAHs), to assess the contamination status of an area. The purpose of this study was to develop an analytical method for the determination of PAHs deriving [...] Read more.
Plant leaves can be used to determine the atmospheric deposition of organic contaminants, including polycyclic aromatic hydrocarbons (PAHs), to assess the contamination status of an area. The purpose of this study was to develop an analytical method for the determination of PAHs deriving from atmospheric deposition using Malva sylvestris leaves. Analytes were recovered from the leaves of the plant using cyclohexane as an organic solvent and subsequent sonication. The percentage recoveries (R%) were good (from 65.8 ± 3.2 to 104.2 ± 16.9), together with the instrumental analytical parameters, including correlation coefficients (r) ≥ 0.995 for all PAHs. The instrumental analysis was carried out using GC-MS in total ion current and single ion monitoring at the same time. Real samples taken from urban environments have shown that they are not always the most contaminated. At the Palermo site, leaves were observed to have high amounts of PAHs due to the deposition of dust generated by combustion processes that occurred near the sampling site. Further studies are recommended to compare the use of plants and classical sampling systems for monitoring the atmospheric deposition of key contaminants toxic to human health. Full article
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<p>Sampling sites of <span class="html-italic">M. sylvestris</span>: (<b>a</b>) Rotello rural site (A) in Molise Region; (<b>b</b>) Rome urban and background sites (B and C), respectively; (<b>c</b>) Palermo urban and background sites (D and E), respectively.</p>
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<p>(<b>a</b>) Chromatogram of a 2 µg mL<sup>−1</sup> PAH standard solution in TIC. For peak identification: 1. NA; 2. ACL; 3. AC; 4. FL; 5. PHE; 6. AN; 7. FA; 8. PY; 9. BaA; 10. CHR-D<sub>12</sub>; 11. CHR; 12. BbFA; 13. BjFA; 14. BkFA; 15. BaP; 16. PE-D<sub>12</sub>; 17. IP; (<b>b</b>) chromatogram of a 2 µg mL<sup>−1</sup> PAHs standard solution in SIM.</p>
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<p>(<b>a</b>) Chromatogram of a real sample without addition of a PAH standard solution in TIC; (<b>b</b>) chromatogram of a real sample without addition of a PAH standard solution in SIM. For peak identification: please see <a href="#atmosphere-15-01402-f002" class="html-fig">Figure 2</a>.</p>
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<p>(<b>a</b>) Chromatogram of a real sample spiked with 500 µL of a 0.5 µg mL<sup>−1</sup> PAH standard solution in TIC; (<b>b</b>) chromatogram of a real sample spiked with 500 µL of a 0.5 µg mL<sup>−1</sup>PAH standard solution in SIM. For peak identification: please see <a href="#atmosphere-15-01402-f002" class="html-fig">Figure 2</a>.</p>
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<p>(<b>a</b>) Chromatogram of a real sample spiked with 500 µL of a 0.5 µg mL<sup>−1</sup> PAH standard solution in TIC; (<b>b</b>) chromatogram of a real sample spiked with 500 µL of a 0.5 µg mL<sup>−1</sup>PAH standard solution in SIM. For peak identification: please see <a href="#atmosphere-15-01402-f002" class="html-fig">Figure 2</a>.</p>
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19 pages, 3162 KiB  
Article
Challenges and Performance of Filter Dusts as a Supplementary Cementitious Material
by Johannes Berger, Anabella Mocciaro, Gisela Cordoba, Cecilia Martinefsky, Edgardo F. Irassar, Nancy Beuntner, Sebastian Scherb, Karl-Christian Thienel and Alejandra Tironi
Materials 2024, 17(22), 5676; https://doi.org/10.3390/ma17225676 - 20 Nov 2024
Viewed by 334
Abstract
Global industry relies on a linear approach for economic growth. One step towards transformation is the implementation of a circular economy and the reclamation of anthropogenic deposits. This study examines two filter dusts, one German and one Argentinian, from the production of calcined [...] Read more.
Global industry relies on a linear approach for economic growth. One step towards transformation is the implementation of a circular economy and the reclamation of anthropogenic deposits. This study examines two filter dusts, one German and one Argentinian, from the production of calcined clays, representing such deposits. Investigations and comparisons of untreated and calcined filter dust and the industrial base product pave the way for using waste product filter dust as supplementary cementitious material (SCM). In the future, some twenty thousand tons of contemporary waste could potentially be used annually as SCM. The results confirm the suitability of one material as a full-fledged SCM without further treatment and a measured pozzolanic reactivity on par with fly ash. Sample materials were classified into two groups: one was found to be a reactive pozzolanic material; the other was characterized as filler material with minor pozzolanic reactivity. Additionally, important insights into the physical properties of oven dust and heat-treated oven dust were obtained. For both material groups, an inversely proportional relationship with rising calcination temperatures was found for the specific surface area and water demand. The impact of the calcination temperature on both the particle size distribution and the potential to optimize the reactivity performance is presented. Full article
(This article belongs to the Special Issue Advances in Natural Building and Construction Materials)
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<p>XRD assessment of swellable clay minerals in D-CIC through glycol vapor treatment. D-CIC—AD represents the air-dried and D-CIC—Glycol the glycol vapor-treated D-CIC sample.</p>
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<p>XRD segment of the XRD quantification showing the different phyllosilicates present in the D-CIC.</p>
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<p>TG and DTG curves of the two dusts D-CCC and D-CIC with marked calcination temperatures.</p>
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<p>FTIR spectra, comparing German filter dust before and after treatment.</p>
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<p>FTIR spectra, comparing Argentinian filter dust before and after treatment.</p>
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<p>Visualization of the inverse proportional relationship between the BET surface area and the water demand determined with the Puntke method with qualitatively increasing temperatures for both of the investigated sample groups.</p>
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<p>R<sup>3</sup> test for evolved heat; German samples with reference curves and inert threshold band according to [<a href="#B9-materials-17-05676" class="html-bibr">9</a>].</p>
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<p>R<sup>3</sup> test for evolved heat; Argentinian samples with reference curves and inert threshold band according to [<a href="#B9-materials-17-05676" class="html-bibr">9</a>].</p>
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19 pages, 28838 KiB  
Article
Biomagnetic Monitoring of Urban Pollution: The Case of Aburrá Valley, Colombia
by Avto Goguitchaichvili, Alexander Sánchez-Duque, Francisco Bautista, Rubén Cejudo and Miguel Cervantes
Land 2024, 13(11), 1864; https://doi.org/10.3390/land13111864 - 8 Nov 2024
Viewed by 577
Abstract
This study aims to identify the most polluted areas and sites using the magnetic signal of ornamental plant leaves as an indicator of environmental pollution. Systematic sampling was conducted with 98 sampling sites described according to urban land use, such as road hierarchy [...] Read more.
This study aims to identify the most polluted areas and sites using the magnetic signal of ornamental plant leaves as an indicator of environmental pollution. Systematic sampling was conducted with 98 sampling sites described according to urban land use, such as road hierarchy and road surface, soil group, collected plant species, and municipality. The magnetic parameters analyzed were low- and high-frequency magnetic susceptibility and the isothermal remanent magnetization acquisition curves in order to calculate the magnetic enhancement factor. For the analysis of variance, a Kruskal–Wallis test was performed to compare urban land uses. Subsequently, the magnetic enhancement factor in dust and surface soil was used to prepare maps of environmental pollution for each urban area. Analyses of the different magnetic parameters of the dust deposited on leaves show that low-coercivity ferrimagnetic minerals dominated the magnetic signal, probably magnetite of anthropic origin, and were closely linked to vehicular traffic and, to a lesser extent, industrial activities. Full article
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<p>Sampling sites in the AMVA (Colombia). The polygon corresponds to the metropolitan area, while the colored zones inside indicate the municipal urban spaces.</p>
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<p>Sampling procedure of plant leaves. View cutting height (<b>a</b>) and type without touching the blade (<b>b</b>).</p>
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<p>Box plots of magnetic parameters X and SIRM of leaf-deposited powders by factor. The white square box represents the mean, while the white and blue-filled circles represent the outliers.</p>
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<p>IRM acquisition curves for urban dust deposited on plant leaves. (<b>a</b>) IRM acquisition curves of the pair of samples with the maximum values obtained for each land use category; and (<b>b</b>) IRM acquisition curves of the pair of samples with the minimum values obtained for each land use category. The dotted line in the 0.3 T pulse indicates the point from which the asymptotic behavior of the IRM acquisition curves begins.</p>
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<p>Scatter diagrams of the magnetic signal in plant leaves for the parameters (<b>a</b>) SIRM versus χ; (<b>b</b>) S<sub>-200</sub> versus χ. Discrimination of samples according to urban land use (<b>a1</b>,<b>b1</b>) and road hierarchy (<b>a2</b>,<b>b2</b>).</p>
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<p>Experimental variogram (black circles) and best-fit theoretical model (solid black line) for the transformation function of FAM-Ki in dust deposited on public ornamental leaves of the AMVA: (<b>a</b>) ln (MEF-χ-0.17); (<b>b</b>) ln (MEF-SIRM-0.18).</p>
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<p>Spatial distribution map of MEF-χ in dust deposited on leaves of public ornamental plants of the AMVA.</p>
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<p>Spatial distribution map of the MEF-SIRM for dust deposited on leaves of public ornamental plants of the AMVA.</p>
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23 pages, 5757 KiB  
Article
Photovoltaic Modules’ Cleaning Method Selection for the MENA Region
by Haneen Abuzaid, Mahmoud Awad and Abdulrahim Shamayleh
Sustainability 2024, 16(21), 9331; https://doi.org/10.3390/su16219331 - 27 Oct 2024
Viewed by 1282
Abstract
Photovoltaic (PV) systems are important components of the global shift towards sustainable energy resources, utilizing solar energy to generate electricity. However, the efficiency and performance of PV systems heavily rely on cleanliness, as dust accumulation can significantly obstruct their effectiveness over time. This [...] Read more.
Photovoltaic (PV) systems are important components of the global shift towards sustainable energy resources, utilizing solar energy to generate electricity. However, the efficiency and performance of PV systems heavily rely on cleanliness, as dust accumulation can significantly obstruct their effectiveness over time. This study undertook a comprehensive literature review and carried out multiple interviews with experts in the PV systems field to propose a map for selecting the optimal PV cleaning method for PV systems within MENA region. These factors, covering meteorological conditions, the local environment, PV system design, module characteristics, dust deposition attributes, exposure time to dust, and socio-economic and environmental considerations, were employed as criteria in a Multi-Criteria Decision-Making (MCDM) model, specifically, an Analytic Network Process (ANP). The results indicate that partially automated cleaning is the most suitable method for existing utility-scale PV projects in the MENA region. The findings provide robust guidelines for PV system stakeholders, aiding informed decision-making and enhancing the sustainability of PV cleaning processes. Full article
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<p>Installed and projected capacities of renewable energy by technology 2016–2028 [<a href="#B7-sustainability-16-09331" class="html-bibr">7</a>].</p>
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<p>Current PV cleaning techniques.</p>
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<p>Installed and targeted PV capacity in the MENA region [<a href="#B78-sustainability-16-09331" class="html-bibr">78</a>].</p>
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<p>Direct normal irradiation in the MENA region [<a href="#B81-sustainability-16-09331" class="html-bibr">81</a>].</p>
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<p>Average precipitation rate in the MENA region. Sources: [<a href="#B87-sustainability-16-09331" class="html-bibr">87</a>,<a href="#B88-sustainability-16-09331" class="html-bibr">88</a>,<a href="#B89-sustainability-16-09331" class="html-bibr">89</a>].</p>
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<p>Electricity and labor costs in the MENA region. Sources: [<a href="#B99-sustainability-16-09331" class="html-bibr">99</a>].</p>
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<p>PV cleaning and the sustainability pillars. Source: authors.</p>
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<p>Research methodology.</p>
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<p>Analytic network process model.</p>
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<p>The unweighted super-matrix for the ANP model.</p>
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<p>The limit matrix for the ANP model.</p>
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<p>Ranking of PV cleaning methods in the MENA region.</p>
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<p>Sensitivity analysis.</p>
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<p>Sensitivity analysis.</p>
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<p>Mapping PV cleaning methods by PV system type.</p>
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15 pages, 1222 KiB  
Article
Assessment of the Total Amount of Surface Deposited Sediments in Small Towns
by Andrian Seleznev, Andrew Shevchenko, Georgy Malinovsky, Natali Ivanchukova, Vitaly Glukhov and Mohamed Youssef Hanfi
Urban Sci. 2024, 8(4), 178; https://doi.org/10.3390/urbansci8040178 - 17 Oct 2024
Viewed by 757
Abstract
Local surface-depressed areas in an urban microrelief are geochemical traps for sediments deposited at the surface. These sediments accumulate pollutants over space and time. The aim of this study was to estimate the total amount of surface sediment in residential areas of small [...] Read more.
Local surface-depressed areas in an urban microrelief are geochemical traps for sediments deposited at the surface. These sediments accumulate pollutants over space and time. The aim of this study was to estimate the total amount of surface sediment in residential areas of small towns with different industrial specialisations. Snow-dirt sludge, snow, and surface sediment samples were collected in towns of the Sverdlovsk region, Russia: Alapaevsk, Kachkanar, Serov, and Verkhnyaya Pyshma. Snow and snow-dirt sludge were collected in the cold season, and surface sediment was collected in the warm season. This study was carried out in 2024. The solid matter of the samples was divided by sieving into particle size fractions: dust (<0.1 mm), fine sand (0.1–1 mm), and coarse sand (1–3 mm). The method used to estimate the total amount of sediment took into account data on the concentration of solid matter in snow-dirt sludge, the volume of melt water, and the contribution of the dust fraction in surface sediment and residential areas. The concentration of solid matter in snow-dirt sludge was about the same in the three cities (up to 6.6 g/L), but differed significantly in Kachkanar (60 g/L). The total amount of surface sediment per unit area was about the same in the three towns (1.1–1.4 kg/m2), but differed significantly in Kachkanar (10.8 kg/m2). The contribution of the dust fraction to the total amount of sediment was estimated to be 10–20% in the cities. The total amount of surface deposited sediments in the residential areas of the small towns was 1.6 × 107 t in Alapaevsk, 5.9 × 107 t in Kachkanar, 1.7 × 107 t in Serov, and 1.3 × 107 t in Verkhnyaya Pyshma. The values obtained for the total amount of surface sediments characterise the contemporary sedimentation processes in residential areas and the environmental quality of small towns. Full article
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<p>The structural organisation of the residential area of each small Russian town.</p>
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<p>The location of the study sites in the warm and cold seasons in Alapaevsk, Kachkanar, Serov, and Verkhnyaya Pyshma.</p>
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<p>Particle size composition (mass concentration) of the solid matter (with min and max values) in the USDS (<b>a</b>) and in the SDS samples (<b>b</b>) in the towns.</p>
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27 pages, 9077 KiB  
Article
Investigating the Spatial Patterns of Heavy Metals in Topsoil and Asthma in the Western Salt Lake Valley, Utah
by Long Yin Lee, Ruth Kerry, Ben Ingram, Connor S. Golden and Joshua J. LeMonte
Environments 2024, 11(10), 223; https://doi.org/10.3390/environments11100223 - 13 Oct 2024
Viewed by 902
Abstract
Mining activities, particularly in large excavations like the Bingham Canyon Copper Mine in Utah, have been increasingly linked to respiratory conditions due to heavy-metal-enriched waste and dust. Operating continuously since 1906, the Bingham Canyon Copper Mine contributes 4.4% of the Salt Lake Valley [...] Read more.
Mining activities, particularly in large excavations like the Bingham Canyon Copper Mine in Utah, have been increasingly linked to respiratory conditions due to heavy-metal-enriched waste and dust. Operating continuously since 1906, the Bingham Canyon Copper Mine contributes 4.4% of the Salt Lake Valley PM2.5 pollution. However, the extent of its contributions to larger-sized particulate matter (PM10) dust, soil and water contamination, and human health impacts is largely unknown. Aerosol optical depth data from Sentinel-2 imagery revealed discernible dust clouds downwind of the mine and smelter on non-prevailing-wind days, suggesting potential heavy metal dispersion from this fugitive dust and subsequent deposition to nearby surface soils. Our analysis of topsoils from across the western Salt Lake Valley found mean arsenic, copper, lead, and zinc concentrations to be well above global background concentrations. Also, the minimum values for arsenic and maximum values for lead were well above the US EPA regional screening levels for residential soils. Thus, arsenic is the metal of greatest concern for impacts on human health. Elevated concentrations of all metals were most notable near the mine, smelter, and tailings pond. Our study linked these elevated heavy metal levels to regional asthma outcomes through cluster analysis and distance-related comparison tests. Significant clusters of high asthma rates were observed in regions with elevated topsoil heavy metal concentrations, impacting both low- and high-income neighborhoods. The findings of this preliminary study suggest that the mine, smelter, and recent construction activities, especially on lands reclaimed from former tailings ponds, could be contributing to atmospheric dust containing high levels of heavy metals and exacerbating asthma outcomes for residents. However, the methods used in the study with aggregated health outcome data cannot determine causal links between the heavy metal contents of soil and health outcomes; they can only point to potential links and a need for further investigation. Such further investigation should involve individual-level data and control for potential confounding factors, such as socioeconomic status, access to healthcare, and lifestyle factors, to isolate the effect of metal exposures on asthma outcomes. This study focused on atmospheric deposition as a source of heavy metal enrichment of topsoil. However, future research is also essential to assess levels of heavy metals in subsoil parent materials and local surface and groundwaters to be able to assess the links between the sources or methods of soil contamination and health outcomes. Full article
(This article belongs to the Special Issue New Insights in Soil Quality and Management)
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<p>A map showing the location of sampling points in relation to Utah Small Areas, the mine, the smelter, and the settling pond.</p>
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<p>Sentinel-2 AOD data from (<b>a</b>) 10 July, (<b>b</b>) 4 August, and (<b>c</b>) 19 August 2019. The pink polygon is Bingham Mine. The red arrows are pointing at small dust clouds near the mine. The black lines are Utah Small Area boundaries.</p>
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<p>Plots of the kriged distribution of topsoil (<b>a</b>) arsenic, (<b>b</b>) copper, (<b>c</b>) lead, (<b>d</b>) and zinc; (<b>e</b>) kriging variance for copper; and (<b>f</b>) the range of kriging errors for all metals in the western Salt Lake Valley. The green polygon is Bingham Mine, the blue polygon is the tailings pond, the black point is the copper smelter, the yellow dots are the sample points, and the black lines are Small Area boundaries. The blue lines in (<b>a</b>,<b>c</b>) are waterways on the western side of the valley, and the black lines in (<b>b</b>,<b>d</b>) are the road network.</p>
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<p>Plots of the kriged distribution of topsoil (<b>a</b>) arsenic, (<b>b</b>) copper, (<b>c</b>) lead, (<b>d</b>) and zinc; (<b>e</b>) kriging variance for copper; and (<b>f</b>) the range of kriging errors for all metals in the western Salt Lake Valley. The green polygon is Bingham Mine, the blue polygon is the tailings pond, the black point is the copper smelter, the yellow dots are the sample points, and the black lines are Small Area boundaries. The blue lines in (<b>a</b>,<b>c</b>) are waterways on the western side of the valley, and the black lines in (<b>b</b>,<b>d</b>) are the road network.</p>
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<p>Local Moran’s I maps for kriged topsoil (<b>a</b>) arsenic, (<b>b</b>) copper, (<b>c</b>) lead, and (<b>d</b>) zinc concentrations in the western Salt Lake Valley. The blue polygon is the tailings pond, the green polygon is Bingham Mine, the black point is the copper smelter, and the black lines are Small Area boundaries.</p>
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<p>Box plots showing concentrations of heavy metals for locations &gt; 5 km or 10 km (0) and &lt;5 km or 10 km (1) from the mine or smelter: (<b>a</b>) copper concentration within 5 km or more of the smelter, (<b>b</b>) copper concentration within 10 km or more of the smelter, (<b>c</b>) copper concentration within 5 km or more of the mine, (<b>d</b>) copper concentration within 10 km or more of the mine, (<b>e</b>) arsenic concentration within 5 km or more of the smelter, (<b>f</b>) arsenic concentration within 10 km or more of the smelter, (<b>g</b>) arsenic concentration within 5 km or more of the mine, (<b>h</b>) arsenic concentration within 10 km or more of the mine.</p>
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<p>Asthma rate maps for Utah Small Areas (n = 99), expressed as percentages and per 10,000 population, for (<b>a</b>) asthma prevalence in Utah, (<b>b</b>) asthma prevalence in Salt Lake County, (<b>c</b>) emergency room (ER visits) in Utah, (<b>d</b>) ER visits in Salt Lake County, (<b>e</b>) hospitalizations in Utah, (<b>f</b>) hospitalizations in Salt Lake County. Note: In Figures (<b>a</b>,<b>c</b>,<b>e</b>), the black lines show Utah Small Areas (n = 99). In Figures (<b>b</b>,<b>d</b>,<b>f</b>), the road network is shown as thin black lines, the small black dots are sample points, the large black dot is the smelter, the blue polygon is the settling pond, and the green polygon is the mine. The State of Utah is approximately 250 miles wide.</p>
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<p>Maps showing the locations of significant clusters of asthma outcomes using univariate local Moran’s I analysis for Utah Small Area (n = 99) asthma data: (<b>a</b>) asthma prevalence in Utah, (<b>b</b>) asthma prevalence in Salt Lake County, (<b>c</b>) emergency room visits (ER visits) in Utah, (<b>d</b>) ER visits in Salt Lake County, (<b>e</b>) hospitalizations in Utah, (<b>f</b>) hospitalizations in Salt Lake County. Note: In Figures (<b>a</b>,<b>c</b>,<b>e</b>), the black lines show Utah Small Areas (n = 99). In Figures (<b>b</b>,<b>d</b>,<b>f</b>), the road network is shown as thin black lines, the small black dots are sample points, the large black dot is the smelter, the blue polygon is the settling pond, and the green polygon is the mine. The State of Utah is approximately 250 miles wide.</p>
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<p>Bivariate local Moran’s I for asthma hospitalizations and soil heavy metal levels (<b>a</b>) arsenic, (<b>b</b>) copper, (<b>c</b>) lead and (<b>d</b>) zinc in Salt Lake County. The road network and Small Area boundaries are shown as black lines, the small black points are sampling locations, the large black point is the smelter, the blue polygon is the settling pond, and the green polygon is the mine.</p>
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<p>Maps showing the Health Improvement Index (HII) for Utah Small Areas (background) with soil heavy metal levels at sampling locations (colored dots) for (<b>a</b>) arsenic, (<b>b</b>) copper, (<b>c</b>) lead, and (<b>d</b>) zinc. The road network is shown as black lines, the large black dot is the smelter, the blue shape is the settling pond, and the green shape is the mine. The yellow-circled area is Daybreak.</p>
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<p>(<b>a</b>) A location map of cities in the Salt Lake Valley and (<b>b</b>) population growth in the cities near the Bingham Canyon Copper Mine between 2000 and 2020. The color code for cities in the map (<b>a</b>) is the same as in the graph (<b>b</b>). The black lines show the road network, the red polygon is the mine, the blue polygon is the evaporation pond, and the red dot is the smelter. Source: U.S. Census Bureau, Quick Facts [<a href="#B81-environments-11-00223" class="html-bibr">81</a>].</p>
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20 pages, 3744 KiB  
Article
Optimal Scheduling of PV Panel Cleaning and Policy Implications Considering Uncertain Dusty Weather Conditions in the Middle East
by Abubaker Gebreil Siddig Matar and Heungjo An
Systems 2024, 12(10), 418; https://doi.org/10.3390/systems12100418 - 8 Oct 2024
Viewed by 864
Abstract
Airborne dust easily accumulates on the top of solar panel surfaces and reduces the output power in arid regions. A commonly used mitigation solution for dust deposition issues is cleaning PV panels periodically. However, cleaning frequency affects the economic viability of solar PV [...] Read more.
Airborne dust easily accumulates on the top of solar panel surfaces and reduces the output power in arid regions. A commonly used mitigation solution for dust deposition issues is cleaning PV panels periodically. However, cleaning frequency affects the economic viability of solar PV systems, resulting in a trade-off between cleaning costs and energy loss costs. To address this issue, this study relates several metrics and develops a generic framework based on simulation and optimization to determine the optimal cleaning interval. Based on the computational tests, the optimal cleaning interval in Abu Dhabi is determined to be 34 days, which is longer than the currently recommended cleaning interval of 28 days. This study also identifies that energy recovery is responsive to decreases in unit cleaning costs in the presence of high electricity tariffs, whereas total cost savings show sensitivity when electricity tariffs are low. Finally, this study discusses energy policy implications by presenting an innovative concept involving the introduction of a cleaning subsidy which could reshape energy system cost dynamics, making PV systems economically competitive beyond the conventional levelized cost of electricity. Full article
(This article belongs to the Section Systems Engineering)
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<p>Various factors affecting solar panel efficiency.</p>
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<p>Logic flow chart of the simulation model.</p>
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<p>Daily weather data for three years: (<b>a</b>) temperature, (<b>b</b>) wind speed, (<b>c</b>) particulate matter, and (<b>d</b>) irradiance.</p>
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<p>Validation of the simulation model.</p>
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<p>Simulation output of Case S3exp.</p>
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<p>Optimal cleaning intervals for several cleaning costs: (<b>a</b>) expat tariff (Cases S1–5exp) and (<b>b</b>) UAE national tariff (Cases S1–5exp).</p>
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<p>Optimal cleaning intervals for several cleaning costs: (<b>a</b>) expat tariff (Cases S1–5exp) and (<b>b</b>) UAE national tariff (Cases S1–5exp).</p>
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<p>Sensitivity analysis for cleaning cost and electricity tariff.</p>
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<p>Energy recovery and total cost savings per panel over a lifespan from the base case (S3) based on the unit cleaning cost: (<b>a</b>) expat tariff (Cases S1–5exp) and (<b>b</b>) UAE national tariff (Cases S1–5exp).</p>
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<p>Energy recovery and total cost savings per panel over a lifespan from the base case (S3) based on the unit cleaning cost: (<b>a</b>) expat tariff (Cases S1–5exp) and (<b>b</b>) UAE national tariff (Cases S1–5exp).</p>
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13 pages, 1663 KiB  
Article
Experimental Examination of Enhanced Nanoceramic-Based Self-Cleaning Sprays for High-Efficiency Hydrophobic Photovoltaic Panels
by Merna Abdrabo, Ahmed Elkaseer, Engy Elshazly, Mohamed S. El-Deab and Iman El-Mahallawi
Coatings 2024, 14(10), 1239; https://doi.org/10.3390/coatings14101239 - 26 Sep 2024
Viewed by 832
Abstract
Dust deposition poses a significant challenge in the implementation of photovoltaic panels (PV) especially in hot and dusty environments, such as the Middle East and North Africa (MENA) region. This issue leads to progressive degradation of PV efficiency and output power. In this [...] Read more.
Dust deposition poses a significant challenge in the implementation of photovoltaic panels (PV) especially in hot and dusty environments, such as the Middle East and North Africa (MENA) region. This issue leads to progressive degradation of PV efficiency and output power. In this context, this research work aims to improve PV performance by developing self-cleaning sprays as a preventative solution. Different concentrations of SnO2 and TiO2 nanoceramics were dispersed in isopropyl alcohol solvent to reduce the mixture’s viscosity and facilitate smooth spraying on solar panels, whose efficiency was continually assessed in outdoor conditions. Although less commonly used for this application, the nano-SnO2 was selected for the purpose of enhancing the surface hydrophobicity, whereas nano-TiO2 was included for its favorable photocatalytic properties. Polydimethylsiloxane (PDMS) oil, known for its self-cleaning characteristic, was served as the base material in the developed sprays. The described blend of materials represents a novel combination. The results indicated that 2.5% nano-SnO2 and 2.5% nano-TiO2 in PDMS oil enhanced efficiency by 5.4% compared to a non-sprayed panel after five weeks of outdoor exposure. This efficiency gain was experimentally justified and attributed to the spray’s ability to achieve a water contact angle (WCA) of 100.6°, forming a hydrophobic surface conducive to self-cleaning. Further characterization results, including photocatalysis and zeta potential have been gathered and analyzed. Full article
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<p>A schematic of the WCA measurement setup, where a dropper release drops at different positions on the sprayed substrates and a camera captures a picture of the droplet before it hits the substrate for initial diameter measurement.</p>
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<p>Absorbance plots of MB samples with nano-TiO<sub>2</sub> exposed to different durations of UV radiation against light wavelength.</p>
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<p>Absorbance plots of MB samples with nano-SnO<sub>2</sub> exposed to different durations of UV radiation against light wavelength.</p>
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<p>Absorbance plots of MB samples with nano-TiO<sub>2</sub> and nano-SnO<sub>2</sub> exposed to different durations of UV radiation against light wavelength.</p>
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<p>Energy Efficiency plots of sprayed and unsprayed panels against solar day (day of the year).</p>
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17 pages, 2561 KiB  
Article
Comparative Study of Steel Mill Dust Leaching with Phosphoric Acid and Sodium Hydroxide
by Fernando Sánchez, Ernesto de la Torre, Alicia Guevara, Katherine Moreno and Carlos F. Aragón-Tobar
Metals 2024, 14(9), 1087; https://doi.org/10.3390/met14091087 - 23 Sep 2024
Viewed by 1106
Abstract
Steel mill dust (SMD), produced by electric arc furnaces, is a highly polluting industrial waste due to its high content of metals (Zn, Fe, and Pb) and fine particle size (ca. 5.4 µm). This residue can be valorized to recover Zn using pyro [...] Read more.
Steel mill dust (SMD), produced by electric arc furnaces, is a highly polluting industrial waste due to its high content of metals (Zn, Fe, and Pb) and fine particle size (ca. 5.4 µm). This residue can be valorized to recover Zn using pyro and hydrometallurgical methods, with hydrometallurgy offering greater selectivity and lower energy costs. However, composition of SMD presents a challenge in identifying an optimal leaching agent. This study investigates the preferential extraction of Zn using two leaching agents, namely 150 g L−1 (1.5 M) phosphoric acid (H3PO4) and 240 g L−1 (6 M) sodium hydroxide (NaOH), in a two-stage leaching process (80 °C). Metallic Zn from the alkaline pregnant solution was recovered by electrodeposition (750 A/m2, graphite anode, stainless-steel cathode) and smelting (450 °C). The samples of SMD contained 26.3% Zn, 20.1% Fe, and 0.9% Pb, in compounds such as magnetite (Fe3O4), zincite (ZnO), and franklinite (ZnFe2O4). Each leaching agent successfully attained a 99% Zn recovery, demonstrating the proposed procedure’s high efficacy. However, H3PO4 leached also Fe and corroded the cathode during electrodeposition, thereby restricting the final recovery of metallic Zn. NaOH demonstrated greater selectivity for Zn over Fe and Pb, producing high-purity Zn deposits on the cathode by electrodeposition and 99% metallic zinc by smelting. Full article
(This article belongs to the Special Issue Recovery and Utilization of Metallurgical Solid Wastes)
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<p>Flowchart of the comparative study of steel mill dust using phosphoric acid and sodium hydroxide as leaching agents.</p>
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<p>Particle size distribution curve of the SMD.</p>
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<p>X-ray diffraction analysis of the SMD (red: zincite, ZnO; blue: magnetite, Fe<sub>3</sub>O<sub>4</sub>; green: franklinite, ZnFe<sub>2</sub>O<sub>4</sub>; orange: halite, NaCl; purple: sylvite, KCl).</p>
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<p>Zinc recovery from SMD with sodium hydroxide at 10%, 20%, 30%, and 40% solids and 5 h of agitation, heating at 80 °C, and a sodium hydroxide concentration of 240 g L<sup>−1</sup> (6 M).</p>
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<p>Zinc, lead, and iron recovery from SMD in two stages with sodium hydroxide (240 g L<sup>−1</sup>—6 M), phosphoric acid (150 g L<sup>−1</sup>—1.5 M), and sulfuric acid (150 g L<sup>−1</sup>—1.5 M) at 10% solids and 5 h of agitation per stage at 80 °C.</p>
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<p>Stainless-steel cathode after electrodeposition with phosphoric acid pregnant solution.</p>
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<p>Zinc deposited on stainless steel cathode after electrodeposition of the pregnant solution obtained by alkaline leaching.</p>
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18 pages, 5110 KiB  
Article
Development of Dust Emission Prediction Model for Open-Pit Mines Based on SHPB Experiment and Image Recognition Method
by Shanzhou Du, Hao Chen, Xiaohua Ding, Zhouquan Liao and Xiang Lu
Atmosphere 2024, 15(9), 1118; https://doi.org/10.3390/atmos15091118 - 14 Sep 2024
Viewed by 499
Abstract
Open-pit coal mining offers high resource recovery, excellent safety conditions, and large-scale production. However, the process generates significant dust, leading to occupational diseases such as pneumoconiosis among miners and adversely affecting nearby vegetation through dust deposition, which hinders photosynthesis and causes ecological damage. [...] Read more.
Open-pit coal mining offers high resource recovery, excellent safety conditions, and large-scale production. However, the process generates significant dust, leading to occupational diseases such as pneumoconiosis among miners and adversely affecting nearby vegetation through dust deposition, which hinders photosynthesis and causes ecological damage. This limits the transition of open-pit mining to a green, low-carbon model. Among these processes, blasting generates the most dust and has the widest impact range, but the specific amount of dust generated has not yet been thoroughly studied. This study integrates indoor experiments, theoretical analyses, and field tests, employing the Split Hopkinson Pressure Bar (SHPB) system to conduct impact loading tests on coal–rock samples under pressures ranging from 0.13 MPa to 2.0 MPa. The results indicate that as the impact load increases, the proportion of large-sized blocks decreases while smaller fragments and powdered samples increase, signifying intensified sample fragmentation. Using stress wave attenuation theory, this study translates indoor impact loadings to field blast shock waves, revealing the relationship between blasting dust mass fraction and impact pressure. Field tests at the Haerwusu open-pit coal mine validated the formula. Using image recognition technology to analyze post-blast muck-pile fragmentation, the estimated dust production closely matched the calculated values, with an error margin of less than 10%. This formula provides valuable insights for estimating dust production and improving dust control measures during open-pit mine blasting operations. Full article
(This article belongs to the Section Air Pollution Control)
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<p>Research flowchart.</p>
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<p>Partially processed coal and rock samples. Subfigure (<b>a</b>) shows the prepared coal sample. Subfigure (<b>b</b>) shows a prepared rock sample.</p>
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<p>Test equipment and specimen loading method. Subfigure (<b>a</b>) shows the SHPB experimental system and subfigure (<b>b</b>) shows the specimen loading method.</p>
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<p>Particle size grading sieve for fragments after impact damage.</p>
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<p>Characteristics of sieved rock fragments under different pressures.</p>
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<p>Variation of rock sample particle size distribution and average particle size with impact pressure.</p>
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<p>Variation of coal sample particle size distribution and average particle size with impact pressure.</p>
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<p>Relationship between blasting dust mass percentage and impact pressure. Subfigure (<b>a</b>) shows the coal dust mass fraction versus impact air pressure, and subfigure (<b>b</b>) shows the rock dust mass fraction versus impact air pressure.</p>
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<p>Blast area charging structure and wiring diagram. Subfigure (<b>a</b>) shows the blast area charging structure, and subfigure (<b>b</b>) shows the wiring diagram.</p>
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<p>Coal seam blasting site.</p>
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<p>Image recognition characteristics of fragmentation distribution in different areas between holes.</p>
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<p>Secondary recognition of fragmentation distribution in detailed areas.</p>
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<p>The Pattern of Change of Block Size Distribution and the Average Size of Coal Block in Coal Rock Blasting.</p>
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13 pages, 4372 KiB  
Article
Effect of Cutting Conditions on the Size of Dust Particles Generated during Milling of Carbon Fibre-Reinforced Composite Materials
by Štěpánka Dvořáčková, Dora Kroisová, Tomáš Knápek and Martin Váňa
Polymers 2024, 16(18), 2559; https://doi.org/10.3390/polym16182559 - 10 Sep 2024
Cited by 1 | Viewed by 641
Abstract
Conventional dry machining (without process media) of carbon fibre composite materials (CFRP) produces tiny chips/dust particles that float in the air and cause health hazards to the machining operator. The present study investigates the effect of cutting conditions (cutting speed, feed per tooth [...] Read more.
Conventional dry machining (without process media) of carbon fibre composite materials (CFRP) produces tiny chips/dust particles that float in the air and cause health hazards to the machining operator. The present study investigates the effect of cutting conditions (cutting speed, feed per tooth and depth of cut) during CFRP milling on the size, shape and amount of harmful dust particles. For the present study, one type of cutting tool (CVD diamond-coated carbide) was used directly for machining CFRP. The analysis of harmful dust particles was carried out on a Tescan Mira 3 (Tescan, Brno, Czech Republic) scanning electron microscope and a Keyence VK-X 1000 (Keyence, Itasca, IL, USA) confocal microscope. The results show that with the combination of higher feed per tooth (mm) and lower cutting speed, for specific CFRP materials, the size and shape of harmful dust particles is reduced. Particles ranging in size from 2.2 to 99 μm were deposited on the filters. Smaller particles were retained on the tool body (1.7 to 40 μm). Similar particle sizes were deposited on the machine and in the work area. Full article
(This article belongs to the Section Polymer Composites and Nanocomposites)
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<p>Size of inhaled particles. Reproduced from [<a href="#B9-polymers-16-02559" class="html-bibr">9</a>], MDPI, 2023.</p>
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<p>Machined composite material: (<b>a</b>) 250 μm composite plate cut; (<b>b</b>) plate cut; (<b>c</b>) composite plate.</p>
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<p>Cutting tool.</p>
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<p>Size of particles trapped on the filter.</p>
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<p>The SEM analysis of dust particles trapped on the filter for selected cutting conditions.</p>
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<p>Particle size trapped on the cutting tool.</p>
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<p>The SEM analysis—dust particles trapped on the cutting tool for selected cutting conditions.</p>
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<p>Size of particles trapped on the workpiece and fixture.</p>
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<p>Size of particles trapped on the filter of a worn cutting tool.</p>
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<p>The SEM analysis: (<b>a</b>) dust particles trapped on the filter of the worn cutting tool; (<b>b</b>) worn cutting tool.</p>
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13 pages, 5861 KiB  
Article
Engineering Moderately Lithiophilic Paper-Based Current Collectors with Variable Solid Electrolyte Interface Films for Anode-Free Lithium Batteries
by Baohong Yang, Hairu Wei, Huan Wang, Haoteng Wu, Yanbo Guo, Xuan Ren, Chuanyin Xiong, Hanbin Liu and Haiwei Wu
Nanomaterials 2024, 14(17), 1461; https://doi.org/10.3390/nano14171461 - 8 Sep 2024
Viewed by 966
Abstract
Compared to traditional lithium metal batteries, anode-free lithium metal batteries use bare current collectors as an anode instead of Li metal, making them highly promising for mass production and achieving high-energy density. The current collector, as the sole component of the anode, is [...] Read more.
Compared to traditional lithium metal batteries, anode-free lithium metal batteries use bare current collectors as an anode instead of Li metal, making them highly promising for mass production and achieving high-energy density. The current collector, as the sole component of the anode, is crucial in lithium deposition-stripping behavior and greatly impacts the rate of Li depletion from the cathode. In this study, to investigate the lithiophilicity effect of the current collector on the solid electrolyte interface (SEI) film construction and cycling performance of anode-free lithium batteries, various lightweight paper-based current collectors were prepared by electroless plating Cu and lipophilic Ag on low-dust paper (LDP). The areal densities of the as-prepared LDP@Cu, LDP@Cu-Ag, and LDP@Ag were approximately 0.33 mg cm−2. The use of lipophilic Ag-coated collectors with varying loadings allowed for the regulation of lipophilicity. The impacts of these collectors on the distribution of SEI components and Li depletion rate in common electrolytes were investigated. The findings suggest that higher loadings of lipophilic materials, such as Ag, on the current collector increase its lipophilicity but also lead to significant Li depletion during the cycling process in full-cell anode-free Li metal batteries. Thus, moderately lithiophilic current collectors, such as LDP@Cu-Ag, show more potential for Li deposition and striping and stable SEI with a low speed of Li depletion. Full article
(This article belongs to the Special Issue Nanostructured Materials for Electric Applications)
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<p>(<b>a</b>) Schematic structure and (<b>b</b>) XRD spectrum of LDP-based current collectors. Optical photographs and SEM images of LDP-based current collectors: (<b>c</b>) LDP@Cu, (<b>d</b>) LDP@Cu-Ag, and (<b>e</b>) LDP@Ag.</p>
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<p>(<b>a</b>) First charge curve, (<b>b</b>) first discharge curve, (<b>c</b>) pre-Li curve, and (<b>d</b>) first and second discharge capacities of AFLMBs assembled with Cu foil and LDP-based current collectors (LDP@XX||LFP, LiPF<sub>6</sub> electrolyte).</p>
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<p>The cycling performance of AFLMBs assembled with LDP@XX||LFP and using LiPF6 electrolyte under different charge/discharge rates: (<b>a</b>) 0.1C/0.1C, (<b>b</b>) 0.1C/0.3C, and (<b>c</b>) 0.1C/1C.</p>
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<p>SEM images of the surface of Cu foil and LDP-based current collectors after the 2nd, 5th, and failure cycles at 0.1C/0.1C. (<b>a</b>) Cu foil (<b>b</b>) LDP@Cu (<b>c</b>) LDP@Cu-Ag (<b>d</b>) LDP@Ag.</p>
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<p>EIS tests of AFLMBs after (<b>a</b>) the first cycle, (<b>b</b>) second cycle, (<b>c</b>) fifth cycle, and (<b>d</b>) failure.</p>
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<p>Argon ion sputtering onto (<b>a</b>) the surface, (<b>b</b>) at 20 nm, and (<b>c</b>) at 40 nm for XPS F-1s spectra.</p>
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<p>Argon ion sputtering onto (<b>a</b>) the surface (<b>b</b>), at 20 nm (<b>c</b>), and at 40 nm for XPS Li-1s spectra.</p>
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16 pages, 3740 KiB  
Article
Quantification of Airborne Particulate Matter and Trace Element Deposition on Hedera helix and Senecio cineraria Leaves
by Anabel Saran, Mariano Javier Mendez, Diego Gabriel Much, Valeria Imperato, Sofie Thijs, Jaco Vangronsveld and Luciano Jose Merini
Plants 2024, 13(17), 2519; https://doi.org/10.3390/plants13172519 - 7 Sep 2024
Viewed by 754
Abstract
In both developed and developing countries, atmospheric pollution with particulate matter (PM) remains an important issue. Despite the health effects of poor air quality, studies on air pollution are often limited by the high costs of continuous monitoring and the need for extensive [...] Read more.
In both developed and developing countries, atmospheric pollution with particulate matter (PM) remains an important issue. Despite the health effects of poor air quality, studies on air pollution are often limited by the high costs of continuous monitoring and the need for extensive sampling. Furthermore, these particles are often enriched with potentially toxic trace elements and organic pollutants. This study evaluates both the composition of atmospheric dust accumulated during a certain timespan on Hedera helix and Senecio cineraria leaves and the potential for their use as bio-monitors. The test plants were positioned near automatic air quality monitoring stations at four different sites with respectively high, moderate and low traffic intensity. The gravimetric deposition of PM10 and PM2.5 on leaves was compared with data recorded by the monitoring stations and related to the weather conditions reported by Argentina’s National Meteorological Service. To determine the presence of trace elements enriching the PM deposited on leaves, two analytical techniques were applied: XRF (not destructive) and ICP (destructive). The results indicated that only in the unpaved street location (site 2) did PM10 and PM2.5 concentrations (90 µg m−3 and 9 µg m−3) in the air exceed more than five times WHO guidelines (15 µg m−3 and 5 µg m−3). However, several trace elements were found to be enriching PM deposited on leaves from all sites. Predominantly, increased concentrations of Cd, Cu, Ti, Mn, Zn and Fe were found, which were associated with construction, traffic and unpaved street sources. Furthermore, based on its capability to sequester above 2800 µg cm−2 of PM10, 2450 µg cm−2 of PM2.5 and trace elements, Senecio cineraria can be taken into consideration for adoption as a bio-monitor or even for PM mitigation. Full article
(This article belongs to the Section Plant Ecology)
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<p>Measurements from an automatic weather station of the National Weather Service of Argentina at Santa Rosa Aero station. Humidity (orange line), wind speed (grey bars), temperature (red line) and precipitation (blue bars) recorded between 15 September 2021 and 15 March 2022.</p>
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<p>Average concentrations of PM 10 and PM 2.5 recorded monthly at each site (n = 5). The pink line represents the WHO recommended annual limit (PM10 = 15 µg m<sup>−3</sup>; PM2.5 = 5 µg m<sup>−3</sup>).</p>
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<p>Spearman correlation matrix, pairwise relationships between meteorological variables and PM concentrations recorded by monitors located at the four sites. Circle sizes dynamically adjust based on the magnitude of correlation, and the color gradient indicates the strength and direction of correlations, from negative (red) to positive (blue).</p>
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<p>Means (n = 5) of XRF spectra of <span class="html-italic">Hedera helix</span> (H) leaves collected from (<b>a</b>) site 1, (<b>b</b>) site 2, (<b>c</b>) site 3 and (<b>d</b>) site 4. Leaves were analyzed before (0 m) and after 3 and 6 months of exposure (3 m and 6 m). The KeV of the peaks shows which elements are present, and the height of a peak indicates the abundance of that element.</p>
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<p>Means (n = 5) of XRF spectra of <span class="html-italic">Senecio cineraria</span> (C) leaves originating from (<b>a</b>) site 1, (<b>b</b>) site 2, (<b>c</b>) site 3 and (<b>d</b>) site 4. Leaves were analyzed before (0 m) and after 3 and 6 months of exposure (3 m and 6 m). The KeV of the peaks shows which elements are present, and the height of a peak indicates the abundance of that element.</p>
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<p>Score plot of the first two PCs obtained by PCA illustrating sample distributions based on (<b>A</b>) site and plant species (‘C’ for <span class="html-italic">Senecio cineraria</span> and ‘H’ for <span class="html-italic">Hedera helix</span>) and (<b>B</b>) exposure time in months. (<b>C</b>) Loading plot highlighting elements with the main influence on the sample distribution.</p>
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<p>Pie charts of average leaf surface elemental concentration measured by ICP and XRF for <span class="html-italic">Hedera</span> helix and <span class="html-italic">Senecio cineraria</span> plants after 6 months of exposure at sites 1, 2, 3 and 4. Cd and Cu (left side) were only detected by ICP. Al and Si (right side) were only detected using XRF.</p>
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<p>Site locations, Santa Rosa City, La Pampa province, Argentina. (<b>a</b>) Site 1, an urban area with high intensity of car traffic; (<b>b</b>) Site 2, a suburban area with moderate car traffic and unpaved streets; (<b>c</b>) Site 3, a residential area with moderate car traffic; and (<b>d</b>) Site 4, a rural area with low intensity of car traffic, based on Google Maps Traffic.</p>
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12 pages, 1769 KiB  
Review
Recent Progress on Atmospheric Corrosion of Field-Exposed Magnesium Alloys
by Mengqi Wang, Lihui Yang, Hao Liu, Xiutong Wang, Yantao Li and Yanliang Huang
Metals 2024, 14(9), 1000; https://doi.org/10.3390/met14091000 - 2 Sep 2024
Viewed by 717
Abstract
It is well known that the poor corrosion resistance of magnesium alloys is a key factor limiting their application. Field exposure is the most reliable means to evaluate the atmospheric corrosion performance of magnesium alloys. This article reviews the field exposure corrosion behavior [...] Read more.
It is well known that the poor corrosion resistance of magnesium alloys is a key factor limiting their application. Field exposure is the most reliable means to evaluate the atmospheric corrosion performance of magnesium alloys. This article reviews the field exposure corrosion behavior of magnesium alloys in typical atmospheric environments (including the marine atmosphere, industrial atmosphere, etc.) in recent years. According to the literature review, it was found that there are significant regional differences in the atmospheric corrosion behavior of magnesium alloys, which is the result of the coupling of multiple factors in the atmospheric environment. By investigating the corrosion rate and corrosion products of different types of magnesium alloys in different environments, the corrosion mechanism of magnesium alloys in different environments was summarized. Specifically, environmental parameters such as atmospheric temperature, relative humidity, CO2, and chloride ion deposition rates in the marine atmospheric environment can affect the corrosion behavior of magnesium alloys. The corrosion of magnesium alloys in different industrial atmospheric environments is mainly affected by atmospheric temperature and relative humidity, as well as atmospheric pollutants (such as SO2, CO2, NO2) and dust. This review provides assistance to the development of new corrosion-resistant magnesium alloys. Full article
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<p>Microstructure of magnesium and several common magnesium alloys [<a href="#B17-metals-14-01000" class="html-bibr">17</a>].</p>
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<p>Summary of the weight loss rates of the pure Mg and Mg alloys at the two exposure sites, and in the lab salt spray and sea wave impact tests [<a href="#B29-metals-14-01000" class="html-bibr">29</a>].</p>
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<p>Corrosion mechanism diagram of magnesium alloys in marine atmosphere.</p>
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<p>Hydrogen evolution curves of pure Mg immersed in basic Mg(OH)<sub>2</sub> saturated solution, haze constituent-contaminated solutions, and haze-contaminated solution for 72 h: (<b>a</b>) all the curves, and (<b>b</b>) details of some curves in (<b>a</b>) [<a href="#B58-metals-14-01000" class="html-bibr">58</a>].</p>
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