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Keywords = weathered coal particles

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15 pages, 4570 KiB  
Article
Preparation of Heat and Salt Resistant Foam Composite System Based on Weathered Coal Particle Strengthening and a Study on Foam Stabilization Mechanism
by Yanyan Xu, Linghui Xi, Yajun Wu, Xin Shi, Zhi Kang, Beibei Wu and Chao Zhang
Processes 2025, 13(1), 183; https://doi.org/10.3390/pr13010183 - 10 Jan 2025
Viewed by 379
Abstract
Nitrogen foam is a promising enhanced oil recovery (EOR) technique with significant potential for tertiary oil recovery. This improves the efficiency of the oil displacement during the gas drive processes while expanding the swept volume. However, in the high-temperature, high-salinity reservoirs of the [...] Read more.
Nitrogen foam is a promising enhanced oil recovery (EOR) technique with significant potential for tertiary oil recovery. This improves the efficiency of the oil displacement during the gas drive processes while expanding the swept volume. However, in the high-temperature, high-salinity reservoirs of the Tahe Oilfield, conventional N2 foam systems show suboptimal performance, as their effectiveness is heavily limited by temperature and salinity. Consequently, enhancing the foam stability under these harsh conditions is crucial for unlocking new opportunities for the development of Tahe fracture-vuggy reservoirs. In this study, the Waring–Blender method was used to prepare weathered coal particles as a foam stabilizer. Compared to conventional foam stabilizers, weathered coal particles were found to enhance the stability of the liquid film under high-temperature and high-salinity conditions. Firstly, the foaming properties of the six foaming agents were comprehensively evaluated and their foaming properties were observed at different concentrations. YL-3J with a mass concentration of 0.7% was selected. The foaming stabilization performance of four types of solid particles was evaluated and weathered coal solid particles with a mass concentration of 15% and particle size of 300 mesh were selected. Therefore, the particle-reinforced foam system was determined to consist of “foaming agent YL-3J (0.7%) + weathered coal (15.0%) + nitrogen”. This system exhibited a foaming volume of 310 mL at 150 °C and salinity of 210,000 mg/L, with a half-life of 1920 s. Finally, through interfacial tension and viscoelastic modulus tests, the synergistic mechanism between weathered coal particles and surfactants was demonstrated. The incorporation of weathered coal particles reduced the interfacial tension of the system. The formation of a skeleton at the foam interface increased the apparent viscosity and viscoelastic modulus, reduced the liquid drainage rate from the foam, and mitigated the disproportionation effect. These effects enhanced the temperature, salinity resistance, and stability of the foam. Consequently, they contributed to the stable flow of foam under high-temperature and high-salinity conditions in the reservoir, thereby improving the oil displacement efficiency of the system. Full article
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Figure 1
<p>Schematic of the high-temperature and high-pressure foam evaluator. 1, Pressure control valve; 2, electric heating sleeve; 3, visualization window; 4, control box; 5, temperature-pressure digital display.</p>
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<p>Effects of foaming agent and concentration on foaming volume.</p>
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<p>Effect of foaming agent concentration on half-life.</p>
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<p>Effects of foaming agent and concentration on foam composite index.</p>
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<p>Comparison of the salinity resistance of different foaming agents.</p>
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<p>Comparison of temperature resistance of different foaming agents.</p>
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<p>Performance of foam system strengthened by fly ash (<b>a</b>), weathering coal (<b>b</b>), 1000 mesh graphite (<b>c</b>), and graphite milk (<b>d</b>) with different mass concentrations.</p>
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<p>Comparison of foaming performance of weathered coal and fly ash reinforced foam system. (<b>a</b>) Weathered coal reinforced foam system. (<b>b</b>) Fly ash reinforced foam system.</p>
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<p>Effect of weathered coal with different particle sizes on the foam properties. (<b>a</b>) Effect of weathered coal particles with different mesh numbers on the foam volume. (<b>b</b>) Effect of weathered coal particles with different mesh numbers on the half-life. (<b>c</b>) Effect of weathered coal particles with different mesh numbers on the foam composite index.</p>
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<p>Interface properties of foaming solutions with different concentrations of YL-3J.</p>
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<p>Interface properties of foaming solutions with different solid particle concentrations.</p>
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<p>Photograph of weathered coal particle-reinforced foam at room temperature. (Red circle shows that the local amplification of the foam layer).</p>
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<p>Foam disproportionation diagram.</p>
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21 pages, 5692 KiB  
Article
Kinetic Column Evaluation of Potential Construction Options for Lessening Solute Mobility in Backfill Aquifers in Restored Coal Mine Pits, Powder River Basin, USA
by Jeff B. Langman and Julianna Martin
Hydrology 2025, 12(1), 8; https://doi.org/10.3390/hydrology12010008 - 7 Jan 2025
Viewed by 371
Abstract
Following open-pit coal mining in the Powder River Basin, landscape reconstruction includes the construction of backfill aquifers from overburden waste rock. With overburden disaggregation and the re-introduction of groundwater, the weathering of newly available mineral surfaces and mobilization of nanomaterials can impact groundwater [...] Read more.
Following open-pit coal mining in the Powder River Basin, landscape reconstruction includes the construction of backfill aquifers from overburden waste rock. With overburden disaggregation and the re-introduction of groundwater, the weathering of newly available mineral surfaces and mobilization of nanomaterials can impact groundwater quality even when such issues were not previously detected in the overburden’s groundwater. Kinetic columns of Powder River Basin waste rock were used to evaluate backfill construction options—zeolite amendment, and soil amendment, compaction, rinse—that could reduce potential groundwater quality impacts. The leachate from each column was collected twice weekly for 20 weeks. The Eh and pH of the leachate substantially varied during an initial high-weathering period indicative of the traditional weathering of newly exposed mineral surfaces and the weathering and flushing of mobile particles. Correspondingly, select elements, such as arsenic and cadmium, were present in relatively high concentrations during this initial weathering period. Waste rock that was compacted or rinsed produced leachate with less solutes and potential contaminants when compared to the unaltered and zeolite- and soil-amended waste rock. Greater compaction during backfilling is possible but may require additional consideration for connecting the surface drainage network to the surrounding area. Rinsing of the waste rock is a viable construction option because of the temporary storage of the waste rock prior to backfilling but would require leachate collection for contaminant treatment. Full article
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<p>Location of the Cordero Rojo Mine in the Powder River Basin of Wyoming, USA.</p>
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<p>An example of the removal of overburden and waste generation during open-pit coal mining at the Cordero Rojo Mine, Powder River Basin, Wyoming, USA.</p>
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<p>Overburden formations and coal seam at the Cordero Rojo Mine, Powder River Basin, Wyoming, USA. The pit perspective and stepped wall distort the coal seam thickness (about 8 m) in relation to the overburden thickness (about 75 m).</p>
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<p>Sieving of Cordero Rojo Mine waste rock to ≤6.3 mm onsite.</p>
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<p>Kinetic columns for benchtop experiments conducted with Cordero Rojo Mine waste rock.</p>
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<p>Major and trace element composition of the Fort Union and Wasatch waste rock from the Cordero Rojo Mine. * Total Fe expressed as FeO.</p>
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<p>Field parameter results for (<b>a</b>) Eh, (<b>b</b>) specific conductance, (<b>c</b>) pH, and (<b>d</b>) alkalinity of leachate from the (1) unamended column, (2) zeolite-amended column, (3) soil-amended column, (4) compaction column, and (5) rinsed column.</p>
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<p>Anion concentrations for leachate from unamended, zeolite, soil, compacted, and rinsed waste rock columns for (<b>a</b>) chloride, (<b>b</b>) fluoride, (<b>c</b>) nitrate, and (<b>d</b>) sulfate.</p>
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<p>Arsenic concentrations for leachate from (<b>a</b>) zeolite, (<b>b</b>) soil, (<b>c</b>) compacted, and (<b>d</b>) rinsed waste rock columns. Non-detection values were set to half the reporting limit (0.5 μg/L).</p>
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<p>Cadmium concentrations in leachate from (<b>a</b>) zeolite, (<b>b</b>) soil, (<b>c</b>) compacted, and (<b>d</b>) rinsed waste rock columns for the first 18 days of the experiment. Non-detection values were set to half the reporting limit (0.5 μg/L).</p>
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<p>Iron concentrations for (<b>a</b>) zeolite, (<b>b</b>) soil, (<b>c</b>) compaction, and (<b>d</b>) rinsed amended columns. Non-detection values were set to half the reporting limit (5 μg/L).</p>
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<p>Mean particle size and ζ potential of leachate from the unamended, zeolite, soil, compacted, and rinsed waste rock columns for the first 55 days of the experiment.</p>
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18 pages, 7664 KiB  
Article
Complex Speciation and Distribution of Iron, Sulfur, and Trace Metals in Coal Mine Soils Reflect Grain- and Sub-Grain-Scale Heterogeneity during Pyrite Oxidative Dissolution
by Md Abu Raihan Chowdhury and David M. Singer
Soil Syst. 2024, 8(1), 2; https://doi.org/10.3390/soilsystems8010002 - 22 Dec 2023
Cited by 2 | Viewed by 2188
Abstract
Historical coal mining practices have caused various soil and water hazards, particularly through the dumping of mine waste. The primary environmental risk associated with this waste is the leaching of toxic metals from dumps of spoil or refuse into the subsurface soil or [...] Read more.
Historical coal mining practices have caused various soil and water hazards, particularly through the dumping of mine waste. The primary environmental risk associated with this waste is the leaching of toxic metals from dumps of spoil or refuse into the subsurface soil or into nearby water resources. The extent of metal release is controlled via the oxidative dissolution of pyrite and potential re-sequestration through secondary Fe oxides. The characterization of the dominant Fe-bearing phase and the distribution of trace metals associated with these phases was determined via electron microscopy, synchrotron-based X-ray micro-fluorescence (μ-XRF) element and redox mapping from shallow mine soils from an impacted watershed in Appalachian Ohio. The dominant Fe-bearing phases were: (1) unweathered to partially weathered pyrite; (2) pseudomorphic replacement of pyrite with Fe(III) oxides; (3) fine-grained Fe oxide surface coatings; and (4) discrete Fe(III) oxide grains. Thicker secondary coatings and larger particles were sulfate rich, whereas smaller grains and thinner coatings were sulfate poor. The discrete Fe oxide grains exhibited the highest concentrations of Cr, Mn, Ni, and Cu, and sub-grain-scale concentration trends (Mn > Cr > Ni > Cu) were consistent with bulk soil properties. Predicting future metal transport requires an understanding of metal speciation and distribution from the sub-grain scale to the pedon scale. Full article
(This article belongs to the Special Issue Research on Heavy Metals in Soils and Sediments)
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<p>(<b>A</b>) Location of the Huff Run Watershed (in red), with Ohio coal counties shown in light gray and known abandoned coal mines in dark gray [<a href="#B31-soilsystems-08-00002" class="html-bibr">31</a>]; (<b>B</b>) a watershed map [<a href="#B32-soilsystems-08-00002" class="html-bibr">32</a>] showing the location of sub-watershed HR-25 (in yellow), stream flow direction, and portions of the watershed impacted by historic surface mines and abandoned mine spoils (pink) and areas that still have active permits (green); (<b>C</b>) Map of sub-watershed HR-25 (the dashed outline), which includes the spatial extent of known surface area affected by coal surface mining (green) and mine spoil emplacement (hatched orange), the Huff Run stream (blue line) and roads (gray lines). The stars represent sampling sites 1 and 2. The coal mining data were obtained from: <a href="https://gis.ohiodnr.gov" target="_blank">https://gis.ohiodnr.gov</a> (accessed on 7 December 2014).</p>
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<p>Representative SEM backscattered electron images and EDS elemental maps of grains consistent with the composition and morphology of framboidal pyrite, showing evidence of dissolution pits and weathering features for sites 1 (<b>A</b>,<b>B</b>) and 2 (<b>C</b>). The black box in (<b>A</b>) indicates the field of view in (<b>B</b>); the black box in (<b>B</b>) indicates the EDS map regions. The black box in (<b>C</b>) indicates the EDS map region of a grain with its morphology and composition consistent with a euhedral grain of pyrite that is protected from dissolution from a complex matrix of grains dominated by grains consistent with phyllosilicate composition and textures.</p>
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<p>Representative μ-XRF images for unweathered pyrite (regions in white-dashed lines) and weathered products (regions in a solid white line and highlighted by the white arrow), including redox maps (for Fe and S) and elemental maps (for Si, Cr, Mn, Ni, and Cu) for the samples from site 1 (<b>left column</b>) and site 2 (<b>right column</b>). The Fe and S maps are shown as two-component images (Fe(II) and Fe(III); S<sub>red</sub> and S<sub>ox</sub>) plus Si for orientation relative to the other maps. The color key is shown at the bottom right.</p>
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<p>Box-and-whisker plots showing I0-normalized m-XRF counts as a proxy for the concentrations of Cr (<b>A</b>,<b>B</b>), Mn (<b>C</b>,<b>D</b>), Ni (<b>E</b>,<b>F</b>), and Cu (<b>G</b>,<b>H</b>) in the samples from sites 1 (<b>left</b>) and 2 (<b>right</b>) as a function of the type of Fe-bearing host phases: pyrite (blue), pseudomorphic replacement of pyrite with Fe oxides (green), Fe oxide surface coatings (yellow), and larger discrete grains of Fe oxides (orange). The range of total metal counts for the m-XRF maps is shown in red. Median values are shown as black-dashed lines, and the black circles represent the 5th and 95th percentile of outliers.</p>
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<p>Representative SEM backscattered electron images and EDS elemental maps of Fe oxide pseudomorphically replacing framboidal pyrite with one possible unweathered pyrite remaining (in the top panel, lower left corner) and around the particle rims in the lower panel for site 1 (<b>A</b>) and site 2 (<b>B</b>).</p>
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<p>Representative μ-XRF images for pyrite replaced with Fe oxides (regions in white-dashed lines); structures observed in the SEM–EDS analyses were not able to be observed at the resolution of the μ-XRF analyses; however, pyritic cores with oxidized rims were observed. The images include redox maps (for Fe and S) and elemental maps (for Si, Cr, Mn, Ni, and Cu) for the samples from site 1 (<b>left column</b>) and site 2 (<b>right column</b>). The Fe and S maps are shown as two-component images (Fe(II) and Fe(III); S<sub>red</sub> and S<sub>ox</sub>) plus Si for orientation relative to the other maps. The color key is shown at the bottom right.</p>
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<p>Representative SEM backscattered electron images and EDS elemental maps of S-bearing Fe oxide surface coatings on quartz (top panel (<b>A</b>), site 1), and a mix of Fe oxide and clay minerals on quartz (bottom panel (<b>B</b>), site 2). The black box in (<b>B</b>) indicates where EDS element maps were collected.</p>
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<p>Representative μ-XRF images for Fe oxide surface coatings (regions in white-dashed lines), including redox maps (for Fe and S) and elemental maps (for Si, Cr, Mn, Ni, and Cu) for the samples from site 1 (<b>left column</b>) and site 2 (<b>right column</b>). The Fe and S maps are shown as two-component images (Fe(II) and Fe(III); S<sub>red</sub> and S<sub>ox</sub>) plus Si for orientation relative to the other maps. The color key is shown at the bottom right.</p>
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<p>Representative SEM backscattered electron images and EDS elemental maps of a grain consistent with an Fe sulfate grain in an aggregate with clay particles ((<b>A</b>), site 1), and discrete particles of Fe sulfate ((<b>B</b>,<b>C</b>), site 2). The black box in (<b>C</b>) indicates where EDS element maps were collected.</p>
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<p>Representative μ-XRF images for discrete Fe oxide particles ranging from larger grains (solid white arrows) to smaller grains (white-dashed arrows), including redox maps (for Fe and S) and element maps (for Si, Cr, Mn, Ni, and Cu) for the samples from site 1 (<b>left column</b>) and site 2 (<b>right column</b>). The Fe and S maps are shown as two-component images (Fe(II) and Fe(III); S<sub>red</sub> and S<sub>ox</sub>) plus Si for orientation relative to the other maps. The color key is shown at the bottom right.</p>
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17 pages, 16840 KiB  
Article
Leachate Experiments to Evaluate Weathering of Waste Rock for Backfill Aquifers in Restored Coal Mine Pits, Powder River Basin, USA
by Julianna Martin and Jeff B. Langman
Geosciences 2024, 14(1), 4; https://doi.org/10.3390/geosciences14010004 - 20 Dec 2023
Cited by 2 | Viewed by 1895
Abstract
Restoration of open-pit mines may utilize waste rock for landscape reconstruction, which can include the construction of backfill aquifers. Weathering and contaminant transport may be different in backfill aquifers compared to the surrounding aquifer because of newly available mineral surfaces and transportable nano- [...] Read more.
Restoration of open-pit mines may utilize waste rock for landscape reconstruction, which can include the construction of backfill aquifers. Weathering and contaminant transport may be different in backfill aquifers compared to the surrounding aquifer because of newly available mineral surfaces and transportable nano- to micro-scale particles generated during mining. Waste rock from the Cordero Rojo open-pit coal mine in the Powder River Basin was exposed to benchtop leachate experiments for 20 weeks at temperatures of 5 °C and 20 °C. Collected leachate was analyzed for Eh, pH, specific conductance, alkalinity, and cation and anion concentrations as unfiltered and 0.45-μm and 0.2-μm filtered concentrations. During the experiment, leachate Eh and pH substantially varied during the first 55 days, which corresponds to a period of high specific conductance (>1000 µS/cm) and alkalinity (>200 mg/L). Correspondingly, anion and cation concentrations were the largest during this early weathering stage, and the filter fractions indicated multiple forms of transported elements. After this early weathering stage, column leachate evolved towards a weathering equilibrium of neutral, oxidizing, and low solute conditions indicated by positive Eh values, pH near 7, and specific conductance <500 μS/cm. This evolution was reflected in the decline and stabilization or non-detection of metal(loid) concentrations reflective of a shift to primarily bulk aluminosilicate weathering when coal- and salt-associated elements, such as arsenic, cadmium, and selenium, were not detected or at minimal concentrations. Over the course of the experiment, the solute trend of certain elements indicated particular weathering processes—cadmium and nanoparticle transport, selenium and salt dissolution, and arsenic and pyrite oxidation. The mining of overburden formations and use of the waste rock for backfill aquifers as part of landscape reconstruction will create newly available mineral surfaces and nanoparticles that will weather to produce solute concentrations not typically found in groundwater associated with the original overburden. Full article
(This article belongs to the Topic Groundwater Pollution Control and Groundwater Management)
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Figure 1
<p>Location of the Cordero Rojo Mine near the town of Gillette in the Powder River Basin of Wyoming, USA (basin boundary from the U.S. Geological Survey).</p>
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<p>Overburden and coal seam at the Cordero Rojo Mine, Powder River Basin, Wyoming, USA.</p>
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<p>Removal of overburden and waste rock generation during open-pit coal mining at the Cordero Rojo Mine, Powder River Basin, Wyoming, USA.</p>
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<p>Element composition of the Fort Union and Wasatch waste rock from the Cordero Rojo Mine.</p>
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<p>(<b>a</b>) Eh, (<b>b</b>) specific conductance, (<b>c</b>) pH, and (<b>d</b>) alkalinity for leachate from the warm- and cold-room columns. All trendlines have been smoothed using the moving window average (4-point window) technique except for Eh.</p>
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<p>Unfiltered (total) and filtered concentrations in the warm-room and cold-room leachates for (<b>a</b>) cadmium and (<b>b</b>) selenium during the first 18 days of the experiment and (<b>c</b>) arsenic during the entire length of the experiment. All non-detect values were set to 0.5 μg/L, which is half the reporting limit for each of the analytes.</p>
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<p>Grain size analysis of waste rock from the pre-experiment Fort Union and Wasatch samples and post-experimental waste rock sampled at three locations from the warm-room leach column (low, middle, and high).</p>
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<p>Activation energy (E<sub>a</sub>) of pyrite weathering derived from warm-room leach column arsenic concentrations during the 20-week experiment.</p>
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<p>Potassium (<b>a</b>) and calcium (<b>b</b>) unfiltered (total) and filtered concentrations for the warm-room and cold-room leachates during the 20-week leach column experiment.</p>
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<p>Iron unfiltered (total) and filtered concentrations for warm-room and cold-room leachates during the 20-week leach column experiment. Non-detect values were set to half the reporting limit (50 μg/L).</p>
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14 pages, 3040 KiB  
Article
Highly Efficient Adsorption of Pb(II) by Functionalized Humic Acid: Molecular Experiment and Theoretical Calculation
by Qi Xu, Yan Yan, Yazhou Jiao, Jinxiong Wu, Xiuling Yan and Xintai Su
Materials 2023, 16(23), 7290; https://doi.org/10.3390/ma16237290 - 23 Nov 2023
Viewed by 1177
Abstract
Environmental pollution has been widely considered by researchers, especially the heavy metals damage to the human and ecological environment is irreversible. Adsorption is an important method to remove heavy metal ions from the environment. In this paper, humic acid (HA) was functionalized by [...] Read more.
Environmental pollution has been widely considered by researchers, especially the heavy metals damage to the human and ecological environment is irreversible. Adsorption is an important method to remove heavy metal ions from the environment. In this paper, humic acid (HA) was functionalized by the improved Hummers method, and its adsorption capacity for Pb(II) was studied. The results of scanning electron microscope (SEM), X-ray diffraction (XRD), Roman, and Brunauer-Emmett-Teller (BET) showed that the thickness of irregular particles decreases to a layered structure during the transformation process. In addition, X-ray photoelectron spectroscopic (XPS) and Fourier transform infrared spectra (FT-IR) spectra showed that the surface of oxidized-biochar (OBC) was rich in reactive oxygen species, which was conducive to the formation of coordination bonds with Pb(II). Further adsorption experiments showed that it was a spontaneous monolayer chemisorption. The results of the DFT calculation showed that -COOH had the lowest adsorption energy for Pb(II), and it was easier to form stable chemical bonds than -OH, -C=O, and -C-O-C-. Because those oxygen-containing functional groups not only can promote electrostatic attraction but also are more favorable for forming a covalent bond with Pb(II). This study had guiding significance for the deep modification and application of weathered coal as a heavy metal ion adsorbent or cation exchanger. Full article
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Figure 1
<p>(<b>a</b>,<b>d</b>) are the SEM of HA (1 μm and 500 nm), (<b>b</b>,<b>e</b>) are the SEM of OBC (1 μm and 500 nm), (<b>c</b>) is the EDS of OBC after adsorption, and (<b>f</b>) is the TEM of OBC.</p>
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<p>(<b>a</b>,<b>b</b>) are XRD and FTIR spectrogram of the three materials, respectively, (<b>c</b>,<b>d</b>) are BET and Roman spectra of HA and OBC, (<b>e</b>,<b>f</b>) are O 1s and C 1s energy spectra of OBC.</p>
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<p>(<b>a</b>) is the influence of the amount of adsorbent on the adsorption performance, (<b>b</b>) is the adsorption performance comparison diagram of HA, OBC, and HA-400, (<b>c</b>) is a comparison of the adsorption capacity of OBC for lead ion at different pH values, (<b>d</b>) is the Zeta potential plot of OBC, (<b>e</b>) is a plot of regeneration performance of the OBC.</p>
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<p>(<b>a</b>,<b>b</b>) are Freundlich and Langmuir adsorption plots of the OBC, (<b>c</b>) is Dubinin-Radushkevich linear fit plot of OBC, (<b>d</b>) is a pseudo-first-order kinetic linear fit plot of OBC, (<b>e</b>) is a pseudo-second-order kinetic linear fit plot of the OBC, (<b>f</b>) is the thermodynamic parameter diagram of OBC.</p>
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<p>(<b>a</b>–<b>d</b>) are the XPS spectra of lead adsorbed by OBC and the energy spectra of C 1s O 1s and Pb 4f, respectively, (<b>e</b>–<b>h</b>) is the structure optimization diagram of different functional groups of OBC, and (<b>i</b>–<b>l</b>) is the structure optimization diagram of lead adsorbed by OBC.</p>
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19 pages, 3328 KiB  
Article
Coupling Effects of Sandstorm and Dust from Coal Bases on the Atmospheric Environment of Northwest China
by Yun Liu, Tingning Zhao, Ruoshui Wang, Xianfeng Ai, Mengwei Wang, Tao Sun and Qunou Jiang
Atmosphere 2022, 13(10), 1629; https://doi.org/10.3390/atmos13101629 - 6 Oct 2022
Cited by 5 | Viewed by 2270
Abstract
The coupling effects of sandstorm and dust from coal bases themselves can have a major impact on the atmospheric environment as well as on human health. The typical coal resource city of Wuhai in Inner Mongolia was selected in order to study these [...] Read more.
The coupling effects of sandstorm and dust from coal bases themselves can have a major impact on the atmospheric environment as well as on human health. The typical coal resource city of Wuhai in Inner Mongolia was selected in order to study these impacts during a severe sandstorm event in March 2021. Particulate matter (PM1, PM2.5 and PM10) and total suspended particulate matter (TSP) samples were collected during the sandstorm event of 15–19 March 2021 and non-sandstorm weather (11–13 March 2021) and analyzed for their chemical composition. The concentrations of PM1, PM2.5, PM10 and TSP in Wuhai city during the sandstorm were 2.2, 2.6, 4.8 and 6.0 times higher than during non-sandstorm days, respectively. Trace metals concentrations in particles of different sizes generally increased during the sandstorm, while water-soluble ions decreased. Positive matrix fraction (PMF) results showed that the main sources of particles during both sandstorm and non-sandstorm days were industrial emissions, traffic emissions, combustion sources and dust. The proportion of industrial emissions and combustion sources increased compared with non-sandstorm days, while traffic emissions and dust decreased. The backward trajectory analysis results showed that airflows were mainly transported over short distances during non-sandstorm days, and high concentration contribution source areas were from southern Ningxia, southeast Gansu and western Shaanxi. The airflow was mainly transported over long distances during the sandstorm event, and high concentration contribution source areas were from northwestern Inner Mongolia, southern Russia, northern and southwestern Mongolia, and northern Xinjiang. A health risk analysis showed that the risk to human health during sandstorm days related to the chemical composition of particles was generally 1.2–13.1 times higher than during non-sandstorm days. Children were more susceptible to health risks, about 2–6.3 times more vulnerable than adults to the risks from heavy metals in the particles under both weather conditions. Full article
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<p>Sandstorm transport process based on remote sensing observations: (<b>a</b>,<b>b</b>) sandstorm occurred; (<b>c</b>–<b>n</b>) sandstorm continued; (<b>o</b>,<b>p</b>) sandstorm dissipation.</p>
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<p>Sandstorm transport process based on remote sensing observations: (<b>a</b>,<b>b</b>) sandstorm occurred; (<b>c</b>–<b>n</b>) sandstorm continued; (<b>o</b>,<b>p</b>) sandstorm dissipation.</p>
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<p>Spatial distribution of PM<sub>2.5</sub> and PM<sub>10</sub> concentrations during the sandstorm.</p>
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<p>Spatial distribution of PM<sub>2.5</sub> and PM<sub>10</sub> concentrations during the sandstorm.</p>
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<p>(<b>a</b>) Daily change of PM<sub>2.5</sub> and PM<sub>10</sub> concentrations in Wuhai during the sandstorm; (<b>b</b>) changes of meteorological conditions in Wuhai during the sandstorm.</p>
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<p>Source apportionment of PM<sub>1</sub>, PM<sub>2.5</sub>, PM<sub>10</sub> and TSP during the (<b>a</b>) non-sandstorm and (<b>b</b>) sandstorm.</p>
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<p>Analytical results of 72 h backward trajectories cluster of air mass in Wuhai during non-sandstorm (<b>a</b>) and sandstorm (<b>b</b>) intervals.</p>
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<p>Weighted potential source contribution function (PSCF) for PM<sub>2.5</sub> and PM<sub>10</sub> during non-sandstorm (<b>a</b>,<b>b</b>) and sandstorm (<b>c</b>,<b>d</b>) intervals.</p>
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<p>Weighted concentration weight trajectories (CWT) for PM<sub>2.5</sub> and PM<sub>10</sub> during non-sandstorm (<b>a</b>,<b>b</b>) and sandstorm (<b>c</b>,<b>d</b>) intervals.</p>
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16 pages, 2086 KiB  
Article
Alkylated Polycyclic Aromatic Hydrocarbons Are the Largest Contributor to Polycyclic Aromatic Compound Concentrations in the Topsoil of Huaibei Coalfield, China
by Yahui Qian, Zhenpeng Xu, Xiuping Hong, Zhonggeng Luo, Xiulong Gao, Cai Tie and Handong Liang
Int. J. Environ. Res. Public Health 2022, 19(19), 12733; https://doi.org/10.3390/ijerph191912733 - 5 Oct 2022
Cited by 11 | Viewed by 1776
Abstract
Alkyl polycyclic aromatic hydrocarbons (APAHs) are more toxic and persistent than their parent compounds. Here, the concentrations, composition profiles, and spatial distribution of polycyclic aromatic compounds (PACs) in 127 topsoil samples from Huaibei coalfield were analyzed. The PAC concentrations in different functional areas [...] Read more.
Alkyl polycyclic aromatic hydrocarbons (APAHs) are more toxic and persistent than their parent compounds. Here, the concentrations, composition profiles, and spatial distribution of polycyclic aromatic compounds (PACs) in 127 topsoil samples from Huaibei coalfield were analyzed. The PAC concentrations in different functional areas were significantly different: mining area > industrial area > residential area > agricultural area. APAHs were the major contributors to PACs, accounting for 71–83% of total PACs. Alkylnaphthalenes and alkylphenanthrenes were the primary APAH components, accounting for 83–87% of APAHs. Principal component analysis showed that petrogenic source, coal and biomass combustion, and vehicle emissions were the primary sources of PACs. By comparing the fingerprint information of soil, coal, and coal gangue, it was hypothesized that the petrogenic source of PAC pollution in typical mining areas and surrounding areas are coal particle scattering and coal gangue weathering. Some coal mining and industrial areas potentially pose risks to children, whereas others do not. There are limited evaluation criteria for alkyl PAHs; hence, the estimated risk is likely lower than the actual risk. In addition to the conventional 16 PAHs, it is critical to consider a broader range of PACs, especially APAHs. Full article
(This article belongs to the Section Environmental Science and Engineering)
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<p>Geographical location of the research area and distribution of sampling points.</p>
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<p>Concentration of 16 PAHs, APAHs, and PACs in topsoil and percentage content of APAHs and ANAPs + APHEs.</p>
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<p>Percentage distribution of 16 PAHs (<bold>a</bold>) and APAHs (<bold>b</bold>) with different ring numbers from topsoil, coal, and coal gangue.</p>
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<p>Spatial distribution of ∑2- and 3-ring-APAHs (<bold>a</bold>), ∑4- and 5- ring-APAHs (<bold>b</bold>), ∑2- and 3-ring-16 PAHs (<bold>c</bold>), and ∑4- to 6-ring-APAHs (<bold>d</bold>) in topsoil samples.</p>
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<p>Factor score of principal component analysis.</p>
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<p>PAC fingerprint information and bell-shaped distribution pattern from different types of samples. The bell-shaped distribution means that the content of APAHs is higher than that of parent PAHs, and the relative abundance of C0–C4 PAHs is high in the middle and low on both sides.</p>
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21 pages, 13937 KiB  
Article
Comparative Study of PM10 Concentrations and Their Elemental Composition Using Two Different Techniques during Winter–Spring Field Observation in Polish Village
by Tomasz Mach, Tomasz Olszowski, Wioletta Rogula-Kozłowska, Justyna Rybak, Karolina Bralewska, Patrycja Rogula-Kopiec, Marta Bożym, Grzegorz Majewski, Zbigniew Ziembik and Anna Kuczuk
Energies 2022, 15(13), 4769; https://doi.org/10.3390/en15134769 - 29 Jun 2022
Cited by 2 | Viewed by 2246
Abstract
The aims of this study were to determine the concentrations and elemental composition of PM10 in the village of Kotórz Mały (Poland), to analyse their seasonal variability, to determine the sources of pollutant emissions and to compare the consistency of the results obtained [...] Read more.
The aims of this study were to determine the concentrations and elemental composition of PM10 in the village of Kotórz Mały (Poland), to analyse their seasonal variability, to determine the sources of pollutant emissions and to compare the consistency of the results obtained using different methods. Sampling and weather condition measurements were carried out in the winter (January–February) and spring (April) of 2019. Two combinations of different techniques were used to examine PM10 concentrations and their chemical composition: gravimetric method + atomic absorption spectrometry (GM+AAS) and continuous particle monitor + energy dispersive X-ray fluorescence (CPM+EDXRF). In winter, the average concentrations of PM10 measured by the GM and CPM were similar (GM 44.3 µg/m3; CPM 34.0 µg/m3), while in spring they were clearly different (GM 49.5 µg/m3; CPM 29.8 µg/m3). Both AAS and EDXRF proved that in both seasons, Ca, K and Fe had the highest shares in the PM10 mass. In the case of the lowest shares, the indications of the two methods were slightly different. Factor analysis indicated that air quality in the receptor was determined by soil erosion, coal and burning biomass, and the combustion of fuels in car engines; in the spring, air quality was also affected by gardening activities. Full article
(This article belongs to the Special Issue Energy-Related Building Materials, Structure and Air Quality)
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<p>Location of sampling point with arrangement of point emission sources within a radius of 300 m from the sampling point (without a Renewable Energy Systems-RES; n = 11).</p>
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<p>Average 24 h PM10 mass concentration obtained by two methods in winter campaign.</p>
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<p>Average 24 h PM10 mass concentration obtained by two methods in spring campaign.</p>
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<p>PM10-bound elements data for winter period. Boxes show the range between the 25th and 75th percentiles. The whiskers extend from the edge of the box to the 5th and 95th percentiles of data. The horizontal line inside indicates the median value.</p>
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<p>Data for PM10-bound elements for spring period. Boxes show the range between the 25th and 75th percentiles. The whiskers extend from the edge of the box to the 5th and 95th percentiles of data. The horizontal line inside indicates the median value.</p>
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<p>Dendrograms of the elemental composition of PM10 in relation to the analytical method EDXRF and AAS (winter on the left and spring on the right).</p>
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13 pages, 2070 KiB  
Article
Geochemical and Morphological Evaluations of Organic and Mineral Aerosols in Coal Mining Areas: A Case Study of Santa Catarina, Brazil
by Segun A. Akinyemi, Marcos L. S. Oliveira, Bemgba B. Nyakuma and Guilherme L. Dotto
Sustainability 2022, 14(7), 3847; https://doi.org/10.3390/su14073847 - 24 Mar 2022
Cited by 3 | Viewed by 2446
Abstract
Numerous researchers have described the correlation between the short-term contact of nano-particulate (NP) matter in diverse coal phases and amplified death or hospitalizations for breathing disorders in humans. However, few reports have examined the short-term consequences of source-specific nanoparticles (NPs) on coal mining [...] Read more.
Numerous researchers have described the correlation between the short-term contact of nano-particulate (NP) matter in diverse coal phases and amplified death or hospitalizations for breathing disorders in humans. However, few reports have examined the short-term consequences of source-specific nanoparticles (NPs) on coal mining areas. Advanced microscopic techniques can detect the ultra-fine particles (UFPs) and nanoparticles that contain potential hazardous elements (PHEs) generated in coal mining areas. Secondary aerosols that cause multiple and complex groups of particulate matter (PM10, PM2.5, PM1) can be collected on dry deposition. In this study, scanning electron microscopy (SEM) and high-resolution transmission electron microscopy (HR-TEM) were employed to detect and define the magnitude of particulate matters on restaurants walls at coal mines due to weathering interactions. The low cost self-made passive sampler (SMPS) documented several minerals and amorphous phases. The results showed that most of the detected coal minerals exist in combined form as numerous complexes comprising significant elements (e.g., Al, C, Fe, K, Mg, S, and Ti), whereas others exist as amorphous or organic compounds. Based on the analytical approach, the study findings present a comprehensive understanding of existing potential hazardous elements in the nanoparticles and ultrafine particles from coal mining areas in Brazil. Full article
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<p>Studied zone and SMPS functions illustration.</p>
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<p>Compounds containing PHEs: (<bold>A</bold>) Jarosite; (<bold>B</bold>) Spherical amorphous particle around several jarosites and goethite minerals; (<bold>C</bold>) Sphalerite containing Fe in the crystalline structure in the PM 11–PM 18.</p>
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<p>Selected identified NPs: (<bold>A</bold>) Angular carbonaceous matter including As and Se; (<bold>B</bold>) Spherical nano-kaolinite; (<bold>C</bold>) Fe-amorphous and crystalline mixed with carbonaceous matter containing Pb; (<bold>D</bold>) Hematite containing Pb.</p>
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<p>Massive rutile agglomerate and crystalline detail HR-TEM image contain FFT (for identification).</p>
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<p>(<bold>A</bold>) Sallammoniac and (<bold>B</bold>) siderite as depicted in HR-TEM image contain FFT (for identification).</p>
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18 pages, 3922 KiB  
Article
The Kaolinite Crystallinity and Influence Factors of Coal-Measure Kaolinite Rock from Datong Coalfield, China
by Dongna Liu, Yun Zhang, Anchao Zhou, Emmanuel N. Nnachi, Shuting Huo and Qi Zhang
Minerals 2022, 12(1), 54; https://doi.org/10.3390/min12010054 - 30 Dec 2021
Cited by 9 | Viewed by 4217
Abstract
In order to ascertain the kaolinite crystallinity of Carboniferous Permian coal-measure kaolinite rocks, seven groups of fresh samples were collected from below the ground in the Xiaoyu mine, Datong coalfield. Microscopy, X-ray diffraction (XRD), differential thermal analysis (DTA), infrared (IR) spectroscopy and X-ray [...] Read more.
In order to ascertain the kaolinite crystallinity of Carboniferous Permian coal-measure kaolinite rocks, seven groups of fresh samples were collected from below the ground in the Xiaoyu mine, Datong coalfield. Microscopy, X-ray diffraction (XRD), differential thermal analysis (DTA), infrared (IR) spectroscopy and X-ray fluorescence (XRF) spectrometry methods were applied to the samples. The petrographic analysis results show that the kaolinite rocks are characterized as compact, phaneritic, clastic, sand-bearing, sandy and silty types; the kaolinite content in the Shanxi formation and upper Taiyuan formations was more than 95%, while it was 60–90% in the middle and lower Taiyuan formations. Based on the Hinckley index and the features of XRD, DTA and IR of kaolinites, crystallinity was classified as having three grades: ordered, slightly disordered and disordered. The kaolinites’ SiO2/Al2O3 molar ratio was about 1.9–5.7, with a chemical index of alteration (CIA) of about 95.4–99.5. This research suggests that the kaolinite crystallinity correlates positively to its clay mineral content, purity and particle size, which are also related to the SiO2/Al2O3 molar ratio and CIA. The original sedimentary environment and weathering have a direct influence on kaolinite crystallinity, and the existence of organic matter is conducive to the stable existence of kaolinite. The study results have significance for the extraction and utilization of coal-measure kaolinite and the development of kaolinite crystallography and mineralogy. Full article
(This article belongs to the Special Issue Geochemistry and Mineralogy of Coal-Bearing Rocks)
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<p>The geographical location of the Datong coalfield and column chart of kaolinite rocks in Xiaoyu mine.</p>
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<p>The kaolinite rocks field outcrop in Datong coalfield: (<b>a</b>) represents the S4F kaolinite rock, (<b>b</b>) the kaolinite in C2F, (<b>c</b>) represents the C3R and (<b>d</b>) represents C8F.</p>
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<p>The plane-polarized light microscopy (Leica 2700) images of kaolinite rock samples under single polarization (−) and cross-polarization (+), where panels (<b>a</b>) kaolinite rock represent sample S4F, including scaly and flaky texture kaolinite; panels (<b>b</b>) represent sample C2F, including scaly, clastic and vermicular texture kaolinite; and panels (<b>c</b>) represent sample C3R, including scaly, clastic and flaky texture kaolinite. Kln, kaolinite; Qz, quartz; SKln, scaly kaolinite; CKln, clastic kaolinite.</p>
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<p>The plane-polarized light microscopy (Leica 2700) images of kaolinite rock samples under single polarization (−) and cross-polarization (+), where panels (<b>a</b>) of kaolinite rock represent sample C5G, including scaly and clastic texture kaolinite and quartz; panels (<b>b</b>) represent the sample C5F1 including scaly, clastic and flaky texture kaolinite; panels (<b>c</b>) represent sample C5F2, including scaly texture kaolinite, carbonaceous matrix and quartz; and panels (<b>d</b>) represent sample C8F, including clastic and flaky texture kaolinite, carbonaceous matrix and quartz. Kln, kaolinite; Qz, quartz; SKln, scaly kaolinite; CKln, clastic kaolinite; C, carbonaceous matrix. The content of quartz is clearly increased in C5F2 and C8F.</p>
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<p>The XRD patterns of kaolinite rocks in Xiaoyu mine. Kln, kaolinite; Qz, quartz; Dsp, diaspore; Ilt, illite; Ant, anatase; Bhm, boehmite; Py pyrite. A<sub>t</sub> is the height from the peak to the baseline, while A and B are the height of sum peaks, respectively. (<b>a</b>–<b>g</b>) represent samples S4F, C2F, C3R, C5G, C5F1, C5F2 and C8F, respectively; (<b>h</b>) revised from Hinckley [<a href="#B33-minerals-12-00054" class="html-bibr">33</a>].</p>
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<p>The XRD patterns of kaolinite rocks in Xiaoyu mine. Kln, kaolinite; Qz, quartz; Dsp, diaspore; Ilt, illite; Ant, anatase; Bhm, boehmite; Py pyrite. A<sub>t</sub> is the height from the peak to the baseline, while A and B are the height of sum peaks, respectively. (<b>a</b>–<b>g</b>) represent samples S4F, C2F, C3R, C5G, C5F1, C5F2 and C8F, respectively; (<b>h</b>) revised from Hinckley [<a href="#B33-minerals-12-00054" class="html-bibr">33</a>].</p>
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<p>The differential thermal analysis curve of kaolinite; for the exact results, see <a href="#minerals-12-00054-t002" class="html-table">Table 2</a>.</p>
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<p>The IR spectra of some kaolinite rock: (<b>a</b>–<b>d</b>) represent samples S4F, C2F, C5F1 and C5F2, respectively.</p>
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17 pages, 4419 KiB  
Article
Three-Year Variations in Criteria Atmospheric Pollutants and Their Relationship with Rainwater Chemistry in Karst Urban Region, Southwest China
by Jie Zeng, Xin Ge, Qixin Wu and Shitong Zhang
Atmosphere 2021, 12(8), 1073; https://doi.org/10.3390/atmos12081073 - 21 Aug 2021
Cited by 6 | Viewed by 2538
Abstract
Air pollutants have been investigated in many studies, but the variations of atmospheric pollutants and their relationship with rainwater chemistry are not well studied. In the present study, the criteria atmospheric pollutants in nine monitoring stations and rainwater chemistry were analyzed in karst [...] Read more.
Air pollutants have been investigated in many studies, but the variations of atmospheric pollutants and their relationship with rainwater chemistry are not well studied. In the present study, the criteria atmospheric pollutants in nine monitoring stations and rainwater chemistry were analyzed in karst Guiyang city, since the time when the Chinese Ambient Air Quality Standards (CAAQS, third revision) were published. Based on the three-year daily concentration dataset of SO2, NO2, CO, PM10 and PM2.5, although most of air pollutant concentrations were within the limit of CAAQS III-Grade II standard, the significant spatial variations and relatively heavy pollution were found in downtown Guiyang. Temporally, the average concentrations of almost all air pollutants (except for CO) decreased during three years at all stations. Ratios of PM2.5/PM10 in non- and episode days reflected the different contributions of fine and coarse particles on particulate matter in Guiyang, which was influenced by the potential meteorological factors and source variations. According to the individual air quality index (IAQI), the seasonal variations of air quality level were observed, that is, IAQI values of air pollutants were higher in winter (worst air quality) and lower in summer (best air quality) due to seasonal variations in emission sources. The unique IAQI variations were found during the Chinese Spring Festival. Air pollutant concentrations are also influenced by meteorological parameters, in particular, the rainfall amount. The air pollutants are well scoured by the rainfall process and can significantly affect rainwater chemistry, such as SO42−, NO3, Mg2+, and Ca2+, which further alters the acidification/alkalization trend of rainwater. The equivalent ratios of rainwater SO42−/NO3 and Mg2+/Ca2+ indicated the significant contribution of fixed emission sources (e.g., coal combustion) and carbonate weathering-influenced particulate matter on rainwater chemistry. These findings provide scientific support for air pollution management and rainwater chemistry-related environmental issues. Full article
(This article belongs to the Special Issue Outdoor Air Pollution and Human Health)
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<p>Map of study area. (<b>a</b>) The location of the Guizhou Province; (<b>b</b>) the position of Guiyang city; (<b>c</b>) land use and air quality monitoring stations in Guiyang city.</p>
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<p>(<b>a</b>) The concentration variations of atmospheric SO<sub>2</sub> and NO<sub>2</sub> at Guiyang city since 2003 and (<b>b</b>) the monthly rainfall amount in 2012, 2013, and 2014. The data source [<a href="#B27-atmosphere-12-01073" class="html-bibr">27</a>,<a href="#B31-atmosphere-12-01073" class="html-bibr">31</a>].</p>
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<p>Yearly average concentrations of criteria atmospheric pollutants in Guiyang City from 2013 to 2015.</p>
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<p>The seasonal variations of citywide daily mean concentrations of air pollutants in Guiyang city from 2013 to 2015. (<b>a</b>) SO<sub>2</sub> and NO<sub>2</sub>, (<b>b</b>) PM<sub>10</sub> and PM<sub>2.5</sub>, (<b>c</b>) CO.</p>
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<p>The PM<sub>2.5</sub>/PM<sub>10</sub> ratios in non- and episode days at all stations in Guiyang City during 2013–2015, the error bars are standard deviations. Shihuanbaozhan station (SHS), Xinhualu station (XHS), Hongbianmen station (HBS), Maanshan station (MAS), Zhongyuancun station (ZYS), Biyunwo station (BYS), Jianhulu station (JHS), Yanzichong station (YZS), Tongmuling station (TMS).</p>
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<p>Temporal and seasonal variations in IAQI of SO<sub>2</sub>, NO<sub>2</sub>, PM<sub>10</sub>, PM<sub>2.5</sub>, and CO; S = summer, W = winter. Monthly IAQI values of SO<sub>2</sub> (<b>a</b>), NO<sub>2</sub> (<b>b</b>), PM<sub>10</sub> (<b>c</b>), PM<sub>2.5</sub> (<b>d</b>), and CO (<b>e</b>); Seasonal IAQI values of all air pollutants (<b>f</b>).</p>
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<p>The monthly variations of SO<sub>4</sub><sup>2−</sup>, NO<sub>3</sub><sup>−</sup>, Mg<sup>2+</sup>, and Ca<sup>2+</sup> concentrations of rainwater and atmospheric SO<sub>2</sub>, NO<sub>2</sub>, PM<sub>10</sub> + PM<sub>2.5</sub> concentrations (<b>a</b>–<b>c</b>), the relationships between atmospheric SO<sub>2</sub>, NO<sub>2</sub>, PM<sub>10</sub> + PM<sub>2.5</sub> concentrations and rainfall amount (<b>d</b>–<b>f</b>), the equivalent ratios of rainwater SO<sub>4</sub><sup>2−</sup>/NO<sub>3</sub><sup>−</sup> (<b>g</b>) and Mg<sup>2+</sup>/Ca<sup>2+</sup> (<b>h</b>). The related data sources and reference values are from [<a href="#B27-atmosphere-12-01073" class="html-bibr">27</a>,<a href="#B61-atmosphere-12-01073" class="html-bibr">61</a>].</p>
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18 pages, 3847 KiB  
Article
A Multidisciplinary Approach for the Assessment of Origin, Fate and Ecotoxicity of Metal(loid)s from Legacy Coal Mine Tailings
by Honorine Gauthier-Manuel, Diane Radola, Flavien Choulet, Martine Buatier, Raphaël Vauthier, Tatiana Morvan, Walter Chavanne and Frédéric Gimbert
Toxics 2021, 9(7), 164; https://doi.org/10.3390/toxics9070164 - 10 Jul 2021
Cited by 5 | Viewed by 2454
Abstract
Over the course of history, the development of human societies implied the exploitation of mineral resources which generated huge amounts of mining wastes leading to substantial environmental contamination by various metal(loid)s. This is especially the case of coal mine tailings which, subjected to [...] Read more.
Over the course of history, the development of human societies implied the exploitation of mineral resources which generated huge amounts of mining wastes leading to substantial environmental contamination by various metal(loid)s. This is especially the case of coal mine tailings which, subjected to weathering reactions, produce acid mine drainage (AMD), a recurring ecological issue related to current and past mining activities. In this study, we aimed to determine the origin, the fate and the ecotoxicity of metal(loid)s leached from a historical coal tailing heap to the Beuveroux river (Franche-Comté, France) using a combination of mineralogical, chemical and biological approaches. In the constitutive materials of the tailings, we identified galena, tetrahedrite and bournonite as metal-rich minerals and their weathering has led to massive contamination of the water and suspended particles of the river bordering the heap. The ecotoxicity of the AMD has been assessed using Chironomus riparius larvae encaged in the field during a one-month biomonitoring campaign. The larvae showed lethal and sub-lethal (growth and emergence inhibition and delay) impairments at the AMD tributary and near downstream stations. Metal bioaccumulation and subcellular fractionation in the larvae tissues revealed a strong bioavailability of, notably, As, Pb and Tl explaining the observed biological responses. Thus, more than 70 years after the end of mining operations, the coal tailings remain a chronic source of contamination and environmental risks in AMD effluent receiving waters. Full article
(This article belongs to the Special Issue Fate of Metals Released from Wastewater Effluents)
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<p>Map of the study area, presenting the coal tailing sampling stations over the heap (black points) and the water sampling/caging stations in the Beuveroux river (turquoise points).</p>
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<p>Photographs of active biomonitoring devices dedicated to in situ exposure of <span class="html-italic">Chironomus riparius</span> larvae. (<b>A</b>): submerged cages dedicated to the assessment of growth, survival and bioaccumulation; (<b>B</b>): Floating cages dedicated to the monitoring of emergence; 1: before deployment and 2: installed devices.</p>
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<p>(<b>A</b>–<b>B</b>): SEM-BSE images of metal bearing sulfides within a shale fragment from the foot of the tailing. Dark grey minerals are silicates (quartz, feldspars, micas) from the shales. (<b>C</b>–<b>E</b>): EDS spectra of selected sulfide minerals. Abbreviations: Bou: bournonite, Ccp: chalcopyrite, Gn: galena, Py: pyrite, Ttr: tetrahedrite.</p>
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<p>Boxplots of mortality percentage (%) according to the station. Statistical and significant differences between the stations are identified by different letters.</p>
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<p>Boxplots of length of larvae (mm) according to the station (30 &lt; <span class="html-italic">n</span> &lt; 58). t<sub>0</sub>: beginning of the exposure (<span class="html-italic">n</span> = 60). Statistical and significant differences between the stations are identified by different letters.</p>
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<p>Time course of cumulative percentage of emergence of <span class="html-italic">C. riparius</span> encaged at the different stations.</p>
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<p>Boxplots of metal accumulation in the cytosolic fraction of <span class="html-italic">Chironomus riparius</span> for As, Cd, Co, Cu, Ni, Pb, Tl and Zn (µg.g<sup>−1</sup>, <span class="html-italic">n</span> = 3) according to the different stations. Statistical and significant differences between the stations are identified by different letters.</p>
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18 pages, 6345 KiB  
Article
Gold-Bearing Brown Coal Deposits of the Zeya–Bureya Sedimentary Basin (East Russia): Fundamental Model of Formation
by Anatoliy Petrovich Sorokin, Andrey Alexeyevich Konyushok, Valeriy Mikhailovich Kuz’minykh and Sergey Vadimovich Dugin
Minerals 2021, 11(7), 682; https://doi.org/10.3390/min11070682 - 25 Jun 2021
Cited by 7 | Viewed by 2440
Abstract
The primary sources and the conditions for the formation of the Paleogene–Neogene coal-bearing deposits in the Zeya–Bureya sedimentary basin were identified and studied with the help of paleogeographic reconstructions and geochemical analyses. Based on the results obtained, we suggest a new basic model [...] Read more.
The primary sources and the conditions for the formation of the Paleogene–Neogene coal-bearing deposits in the Zeya–Bureya sedimentary basin were identified and studied with the help of paleogeographic reconstructions and geochemical analyses. Based on the results obtained, we suggest a new basic model of element transfer into the coal, involving two mutually complementary processes to account for the introduction and concentration of gold and other trace elements in the sequences investigated. The first process reflects the system in which peatlands were concentrated along the basin’s junction zone and the passive internal residual mountain ranges. The second reflects the junction’s contrast-type (sharp-type) forms conditions along the external mobile mountain-fold frame. The eroded gold particles were transported over 10–20 km as complex compounds, colloids, dispersed particles, and nanoparticles, and remobilized into clastogenic and dissolved forms along the first few kilometers. The release of gold in the primary sources occurred due to weathering of gold-bearing ore zones, followed by transportation of gold by minor rivers to the areas of peat accumulation. This study considered the probability of the accumulation of high concentrations of gold and rare earth elements (REE) in coal due to the introduction of organic and inorganic materials during floods, with episodes of catastrophic events, and volcano–hydrothermal activities. Full article
(This article belongs to the Special Issue Geochemistry and Mineralogy of Coal-Bearing Rocks)
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<p>Schematic tectonostructural map of the Zeya–Bureya sedimentary basin [<a href="#B20-minerals-11-00682" class="html-bibr">20</a>].</p>
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<p>Zones of adjacent mineralized areas of the Tygda-Ulunginsky cluster and the Cenozoic basin [<a href="#B29-minerals-11-00682" class="html-bibr">29</a>], with additions by the authors.</p>
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<p>Geological section of gold placer in Gryaznushka Creek.</p>
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<p>Gold distribution in the silty and clay fractions of the Nagiminskaya gold placer [<a href="#B23-minerals-11-00682" class="html-bibr">23</a>]. Abbreviations: n.f.—not found; n.a.—not analyzed; traces—trace gold.</p>
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<p>Distribution of Au and REE + Y + Sc in the Paleocene coals of the Yerkovetskoye, Raichikhinskoye, and Arkharo–Boguchanskoye coal deposits.</p>
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<p>Distribution of Au &amp; REE + Y + Sc in the Lower–Middle Miocene coals of the Sergeevskoe and Sianchik deposits.</p>
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<p>Native gold particles with mineral inclusions extracted from (<b>a</b>–<b>d</b>) slags, (<b>e</b>–<b>h</b>) fly ash, and (<b>i</b>–<b>j</b>) slime.</p>
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24 pages, 16145 KiB  
Review
Ballast Contamination Mechanisms: A Criterial Review of Characterisation and Performance Indicators
by Daniel Bassey, Ben Ngene, Isaac Akinwumi, Victor Akpan and Gideon Bamigboye
Infrastructures 2020, 5(11), 94; https://doi.org/10.3390/infrastructures5110094 - 2 Nov 2020
Cited by 15 | Viewed by 12011
Abstract
Across the world, ballasted railway tracks are utilised extensively due to their cost efficiency, ease of drainage, and capacity to withstand cyclic imposed loadings from heavy trains. In spite of these benefits, the ballast is often considered as a flexible medium; as such, [...] Read more.
Across the world, ballasted railway tracks are utilised extensively due to their cost efficiency, ease of drainage, and capacity to withstand cyclic imposed loadings from heavy trains. In spite of these benefits, the ballast is often considered as a flexible medium; as such, its continuous deterioration is largely disregarded. Geotechnical challenges such as ballast contamination in the form of particle fragmentation, deposition of weathered materials, upward pumping of clay and fines from underlayers, and coal intrusion have led to differential settlements and reduced drainability of tracks, thereby exacerbating track maintenance costs. This study reviews existing works of literature to expound on the mechanisms for ballast contamination and to highlight the fundamental parameters that guide the characterisation and performance evaluation of railway ballasts. The study shows that ballast fragmentation accounts for about 76% of commonly recorded contaminations, while it is also observed as the most critical to track stability. As such, a variety of indices and specifications for ballast gradation have been established worldwide to guide practice in ballast characterisation and performance evaluation. However, the mechanisms of ballast fragmentation and deterioration require further research to guide the improvement of contemporary guidelines, and mitigate the risk of abrupt track failures, especially in developing countries. Full article
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<p>Ballast fouling mechanisms.</p>
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<p>European Rail Research Institute (ERRI) ballast specification [<a href="#B8-infrastructures-05-00094" class="html-bibr">8</a>].</p>
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<p>Ballast fouling stages: (<b>a</b>) clean ballast contact point; (<b>b</b>) minor fouling, contact point unaffected; (<b>c</b>) contact point contaminated, causing instability [<a href="#B19-infrastructures-05-00094" class="html-bibr">19</a>].</p>
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<p>Compaction stages and possible breakdown: (<b>a</b>) initial placement; (<b>b</b>) initial compaction; (<b>c</b>) well-consolidated ballast; (<b>d</b>) breakdown with subsequent compaction [<a href="#B5-infrastructures-05-00094" class="html-bibr">5</a>].</p>
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<p>Time- and load-bound variation in ballast aggregate–aggregate contact area.</p>
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<p>Ballast gradation chart [<a href="#B5-infrastructures-05-00094" class="html-bibr">5</a>].</p>
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<p>Ballast particle size gradation results with varied levels of clay fouling [<a href="#B31-infrastructures-05-00094" class="html-bibr">31</a>].</p>
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<p>Relationship between mass loss and r<sub>2</sub>/r<sub>1</sub> of brick-shaped particles due to roundness for three ballast shape categories [<a href="#B66-infrastructures-05-00094" class="html-bibr">66</a>].</p>
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<p>Comparison of ballast degradation patterns: (<b>a</b>) fragmentation; (<b>b</b>) abrasion [<a href="#B18-infrastructures-05-00094" class="html-bibr">18</a>].</p>
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<p>Criteria for calculation of <math display="inline"><semantics> <mrow> <msub> <mi>B</mi> <mrow> <mi>b</mi> <mi>a</mi> <mi>l</mi> </mrow> </msub> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msubsup> <mi>B</mi> <mrow> <mi>b</mi> <mi>a</mi> <mi>l</mi> </mrow> <mi>r</mi> </msubsup> </mrow> </semantics></math> [<a href="#B18-infrastructures-05-00094" class="html-bibr">18</a>].</p>
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<p>Low drainability of ballast after rainfall: condition after (<b>a</b>) one day and (<b>b</b>) three days [<a href="#B31-infrastructures-05-00094" class="html-bibr">31</a>].</p>
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<p>Surface water drainage rate and FI relationship (Mod. = moderately) [<a href="#B28-infrastructures-05-00094" class="html-bibr">28</a>].</p>
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<p>Darcy’s novel finding of a linear relationship between the velocity of flow and hydraulic gradient [<a href="#B89-infrastructures-05-00094" class="html-bibr">89</a>,<a href="#B90-infrastructures-05-00094" class="html-bibr">90</a>].</p>
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17 pages, 3970 KiB  
Article
Sustainable Reuse of Coal Mine Waste: Experimental and Economic Assessments for Embankments and Pavement Layer Applications in Morocco
by Mustapha Amrani, Yassine Taha, Yassine El Haloui, Mostafa Benzaazoua and Rachid Hakkou
Minerals 2020, 10(10), 851; https://doi.org/10.3390/min10100851 - 26 Sep 2020
Cited by 42 | Viewed by 5616
Abstract
This paper deals with the potential reuse of coal mine waste rocks (CMWR) as an alternative material for road construction to conserve the natural resources and sustainable management of mining waste. The investigation was conducted through the determination of the chemical, mineralogical, geotechnical [...] Read more.
This paper deals with the potential reuse of coal mine waste rocks (CMWR) as an alternative material for road construction to conserve the natural resources and sustainable management of mining waste. The investigation was conducted through the determination of the chemical, mineralogical, geotechnical properties, and acid mine drainage formulation of CMWR as well as economic feasibility. This waste was used either alone for embankments and mixed with stabilizing agents fly ash (FA) and hydraulic road binder (HRB) for pavement applications. The experimental results confirmed that weathered CMWR can be successfully used alone as a sustainable alternative material for the embankment. Furthermore, the use of stabilizing agents in the following ratio CMWR:FA:HRB = 80:20:5 allow the use of CMWR in road sub-base layers for high-traffic pavements. Also, the environmental investigations showed that CMWR does not present any potential contaminating risk on the surrounding environment and most of the pyrite particles were already oxidized. Therefore, the environmental impact of acid mine drainage produced by pyritic waste throughout its life cycle can be neglected. Finally, an economic case study confirmed the workability of CMWR reuse in a radius of 29 km around their dumps by resulting in a lower cost compared with conventional materials. Full article
(This article belongs to the Collection Clays and Other Industrial Mineral Materials)
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<p>Old and recent coal dumps in the Jerada city.</p>
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<p>Coal mine waste rocks (CMWR) sampling with a loader machine.</p>
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<p>Optical microscopy observations of CMWR sample.</p>
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<p>Compressibility curve of compacted CMWR material.</p>
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<p>Grain size distribution curves of used materials.</p>
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<p>Proctor compaction energies of CMRW samples according to dry weight and CBR(4i).</p>
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<p>Evolution of grading curves of CMWR under controlled compaction energies.</p>
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<p>Classification zones of the designed mixes according to the (<span class="html-italic">E</span>, Rt) at 90 curing ages [<a href="#B35-minerals-10-00851" class="html-bibr">35</a>].</p>
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<p>Structural classification of designed mixes according to NF-P98-113 [<a href="#B38-minerals-10-00851" class="html-bibr">38</a>].</p>
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