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24 pages, 25821 KiB  
Article
Impact of Paddy Field Expansion on Ecosystem Services and Associated Trade-Offs and Synergies in Sanjiang Plain
by Xilong Dai, Linghua Meng, Yong Li, Yunfei Yu, Deqiang Zang, Shengqi Zhang, Jia Zhou, Dan Li, Chong Luo, Yue Wang and Huanjun Liu
Agriculture 2024, 14(11), 2063; https://doi.org/10.3390/agriculture14112063 (registering DOI) - 16 Nov 2024
Viewed by 136
Abstract
In recent decades, the integrity and security of the ecosystem in the Sanjiang Plain have faced severe challenges due to land reclamation. Understanding the impact of paddy field expansion on regional ecosystem services (ESs), as well as revealing the trade-offs and synergies (TOS) [...] Read more.
In recent decades, the integrity and security of the ecosystem in the Sanjiang Plain have faced severe challenges due to land reclamation. Understanding the impact of paddy field expansion on regional ecosystem services (ESs), as well as revealing the trade-offs and synergies (TOS) between these services to achieve optimal resource allocation, has become an urgent issue to address. This study employs the InVEST model to map the spatial and temporal dynamics of five key ESs, while the Optimal Parameter Geodetector (OPGD) identifies primary drivers of these changes. Correlation analysis and Geographically Weighted Regression (GWR) reveal intricate TOS among ESs at multiple scales. Additionally, the Partial Least Squares-Structural Equation Model (PLS-SEM) elucidates the direct impacts of paddy field expansion on ESs. The main findings include the following: (1) The paddy field area in the Sanjiang Plain increased from 5775 km2 to 18,773.41 km2 from 1990 to 2020, an increase of 12,998.41 km2 in 40 years. And the area of other land use types has generally decreased. (2) Overall, ESs showed a recovery trend, with carbon storage (CS) and habitat quality (HQ) initially decreasing but later improving, and consistent increases were observed in soil conservation, water yield (WY), and food production (FP). Paddy fields, drylands, forests, and wetlands were the main ES providers, with soil type, topography, and NDVI emerging as the main influencing factors. (3) Distinct correlations among ESs, where CS shows synergies with HQ and SC, while trade-offs are noted between CS and both WY and FP. These TOS demonstrate significant spatial heterogeneity and scale effects across subregions. (4) Paddy field expansion enhances regional SC, WY, and FP, but negatively affects CS and HQ. These insights offer a scientific basis for harmonizing agricultural development with ecological conservation, enriching our understanding of ES interrelationships, and guiding sustainable ecosystem management and policymaking. Full article
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<p>The flowchart of this study.</p>
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<p>Study area. (<b>a</b>) Location of the study area. (<b>b</b>) Elevation and county boundaries. (<b>c</b>) Land cover/land use in 2020.</p>
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<p>(<b>a</b>) Land use changes in the SJP from 1990 to 2020. (<b>b</b>) Land use transition chord diagram in the SJP from 1990 to 2020.</p>
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<p>(<b>a</b>) Spatiotemporal distribution of ESs in the SJP from 1990 to 2020. (<b>b</b>) Spatiotemporal changes in ESs in the SJP.</p>
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<p>Interannual changes in the total ESs of the SJP.</p>
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<p>Nightingale rose charts of ESs by eight LUTs for 1990, 2000, 2010, and 2020.</p>
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<p>Percentage of and change in the total supply of ESs by eight LUTs for 1990, 2000, 2010, and 2020.</p>
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<p>Interactive detection of influencing factors of ESs in SJP. Note: X1, elevation; X2, slope; X3, annual precipitation; X4, annual mean temperature; X5, annual evapotranspiration; X6, normalized difference vegetation index; X7, soil type; X8, distance to river; X9, policy factors.</p>
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<p>Correlation matrix and scatterplot of TOS of ESs in the SJP from 1990 to 2020. *** Indicating a highly significant <span class="html-italic">p</span> &lt; 0.001. A, B represents the correlation demonstrated by dividing the data in the study area into two groups on average.</p>
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<p>Spatial distribution of TOS of ESs in the SJP.</p>
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<p>Impact of paddy field expansion on ESs in the SJP.</p>
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<p>Changes in annual mean temperature and annual precipitation in the SJP from 1990 to 2020.</p>
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<p>Changes in paddy area in the SJP and policy-driven paddy area expansion.</p>
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18 pages, 8024 KiB  
Article
Evaluating a Nickel–Metal Hydride (NiMH) Battery Regeneration Patent Based on a Non-Intrusive and Unsupervised Prototype
by Rafael Martínez-Sánchez, Angel Molina-García, Antonio Mateo-Aroca and Alfonso P. Ramallo-González
Batteries 2024, 10(11), 402; https://doi.org/10.3390/batteries10110402 - 14 Nov 2024
Viewed by 609
Abstract
In the ongoing shift toward electric vehicles (EVs) primarily utilizing lithium-ion battery technology, a significant population of hybrid electric vehicles (HEVs) remains operational, which are reliant on established NiMH battery systems. Over the last twenty years, these HEVs have generated a substantial number [...] Read more.
In the ongoing shift toward electric vehicles (EVs) primarily utilizing lithium-ion battery technology, a significant population of hybrid electric vehicles (HEVs) remains operational, which are reliant on established NiMH battery systems. Over the last twenty years, these HEVs have generated a substantial number of NiMH batteries that are either inoperable, experiencing performance degradation, or approaching the end of their service life. This situation results in a twofold challenge: (i) a growing volume of environmentally hazardous waste due to the difficulty of NiMH battery reclamation and (ii) escalating maintenance costs for HEV owners necessitated by replacement battery purchases. To overcome this scenario, patent WO2015092107A1, published in 2015, proposed a ‘Method for regenerating NiMH batteries.’ This method claimed the ability to restore NiMH batteries to their original functionality based on a non-intrusive approach. However, a comprehensive review of the relevant scientific literature fails to identify any empirical evidence supporting the efficacy of this regeneration technique. Within this context, this study provides a detailed analysis and evaluation of the regeneration process based on an unsupervised and non-intrusive prototype. The proposed prototype can be used not only to implement and evaluate the previous patent, but also to test any other process or methodology based on controlled charging/discharging periods under certain current conditions. NiMH battery cells from a Toyota Prius were included in this work as a real case study. The experimental results from this prototype demonstrate the reduced potential for battery regeneration using the proposed method. Future contributions should offer a promising solution for mitigating the challenges associated with NiMH battery disposal, maintenance within the HEV domain, and other second-life alternative options. Full article
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<p>Operational scheme. General overview.</p>
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<p>General operation of the prototype.</p>
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<p>General electrical diagram of the prototype.</p>
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<p>Electrical diagram of the prototype in charging mode.</p>
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<p>Electrical diagram of the prototype in discharging mode.</p>
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<p>Power supplies for the cells and additional power supply for the process.</p>
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<p>Potentiometer for the discharging process (TE Connectivity, Type 23 Series).</p>
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<p>Display monitoring system (Caredy DT3010).</p>
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<p>Example of the selected relay (Elego ASDIOFJ1).</p>
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<p>Example of an A or B switch (RS PRO 1858229).</p>
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<p>Frontal panel. General overview.</p>
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<p>Rear panel with relays. Example.</p>
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<p>Energy charged in each cell. Data distribution for 9 process iterations.</p>
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<p>Energy discharged from each cell. Data distribution for 9 process iterations.</p>
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<p>Ratio of energy discharged and charged for each cell (in pu). Data distribution for 9 process iterations and statistical analysis.</p>
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<p>SOH in each cell for each process and statistical analysis.</p>
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<p>SOH of cell 21 in each process.</p>
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<p>SOH of cell 11 in each process.</p>
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<p>SOH of cell 3 in each process.</p>
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20 pages, 770 KiB  
Article
Grain-Filling Characteristics and Yield Formation of Rice at Saline Field
by Huanhe Wei, Boyuan Zuo, Jizou Zhu, Weiyi Ma, Xiang Zhang, Lulu Wang, Xiaoyu Geng, Yinglong Chen, Tianyao Meng and Qigen Dai
Agronomy 2024, 14(11), 2687; https://doi.org/10.3390/agronomy14112687 - 14 Nov 2024
Viewed by 222
Abstract
It is of great interest to utilize saline fields to promote rice production in China. It has still not been established how salinity stress affects grain-filling characteristics and the relationships with yield formation of rice in a saline field. This experiment was conducted [...] Read more.
It is of great interest to utilize saline fields to promote rice production in China. It has still not been established how salinity stress affects grain-filling characteristics and the relationships with yield formation of rice in a saline field. This experiment was conducted with Ningjing 7 (salinity-tolerant rice variety) and Wuyunjing 30 (salinity-susceptible rice variety) in a non-saline field and a high-saline field in 2021 and 2022. The grain yields of Ningjing 7 and Wuyunjing 30 in a high-saline field were 37.7% and 49.8% lower (p < 0.05) than in a non-saline field across two years. Ningjing 7 exhibited a higher (p < 0.05) grain yield than Wuyunjing 30 in a high-saline field. The reductions in filled-grain percentage and grain weight in inferior grains were greater than in superior grains of Ningjing 7 and Wuyunjing 30. For Ningjing 7 and Wuyunjing 30, the total starch contents in superior and inferior grains at 15, 30, and 45 days after heading were reduced (p < 0.05) in a high-saline field compared to a non-saline field. The ADP–glucose pyrophosphorylase, granule-bound starch synthase, and starch synthase activities after heading in superior and inferior grains in a high-saline field were lower (p < 0.05) than those in a non-saline field, and the reductions were more pronounced for Wuyunjing 30. The maximum grain-filling rate and mean grain-filling rate were decreased, while the time to achieve the maximum grain-filling rate was increased in a high-saline field compared to a non-saline field, especially for Wuyunjing 30. The mean grain-filling rate and grain-filling amount in superior and inferior grains during the early, middle, and late stages were lower in a high-saline field than in a non-saline field. For Ningjing 7 and Wuyunjing 30, the reductions in the grain-filling amount in the inferior grains during the early, middle, and late stages in a high-saline field were greater than those in superior grains. Our results suggest that salinity stress inhibited the grain-filling rate, reduced the total starch content and affected key enzyme activities, which led to the poor sink-filling efficiency and yield performance of rice in a saline field, especially for the salinity-susceptible variety. Full article
(This article belongs to the Section Soil and Plant Nutrition)
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<p>Flag leaf photosynthetic rate and SPAD values at 20 and 40 DAH of rice in two fields across two years. NSF, non-saline field; HSF, high-saline field. NJ 7, Ningjing 7; WYJ 30, Wuyunjing 30. DAH, days after heading. Vertical bars represent ± standard deviation of the mean (<span class="html-italic">n</span> = 3). Different letters above the column indicate statistical significance at the 0.05 probability level.</p>
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<p>Total starch content in SG and IG at 15, 30, and 45 DAH of rice at two fields across two years. NSF, non-saline field; HSF, high-saline field. SG, superior grains; IG, inferior grains. NJ 7, Ningjing 7; WYJ 30, Wuyunjing 30. DAH, days after heading. Vertical bars represent ± standard deviation of the mean (<span class="html-italic">n</span> = 3). Different letters above the column indicate statistical significance at the 0.05 probability level.</p>
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<p>Grain weighting after heading in SG and IG of rice at two fields across two years. NSF, non-saline field; HSF, high-saline field. SG, superior grains; IG, inferior grains. NJ 7, Ningjing 7; WYJ 30, Wuyunjing 30. DAH, days after heading.</p>
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16 pages, 8723 KiB  
Article
Effect of Fines Content on the Compression Behavior of Calcareous Sand
by Suhang Huang and Xiaonan Gong
Appl. Sci. 2024, 14(22), 10457; https://doi.org/10.3390/app142210457 - 13 Nov 2024
Viewed by 325
Abstract
Due to the hydraulic sorting effect in the hydraulic filling process, a fine-grained aggregate layer dominated by silty fine sand with uneven distribution is easily formed in reclamation projects, which triggers issues with the bearing capacity and nonuniform settlement of calcareous sand foundations. [...] Read more.
Due to the hydraulic sorting effect in the hydraulic filling process, a fine-grained aggregate layer dominated by silty fine sand with uneven distribution is easily formed in reclamation projects, which triggers issues with the bearing capacity and nonuniform settlement of calcareous sand foundations. In this study, a series of one-dimensional compression tests were conducted to investigate the effect of different fines contents (fc) on the compression behavior of calcareous sand. The results show that at the same relative density (medium-density, Dr = 50%), the addition of fine particles leads to a reduction in the initial void ratio (for fc ≤ 40%). Furthermore, while the compressibility of the soil samples increases with the rising of fines content, it begins to decrease with further addition of fine particles beyond a threshold value of fines content (fc-th). Additionally, particle crushing contributes to the compressive deformation of calcareous sand, and the particle relative breakage of calcareous sand increases at the initial stage of adding fine particles. Moreover, a comparison of the compression test results between calcareous silty sand (fc = 10%) and clean sand reveals that the addition of fine particles accentuates the compressibility differences among calcareous sands with different relative densities. These findings provide valuable insights for addressing the challenges posed by fine-grained layers in calcareous sand foundations. Full article
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<p>Calcareous sand particles with different grain sizes (same magnification).</p>
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<p>Particle size distribution curves of calcareous sand sample and fines.</p>
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<p>Schematic diagram of the relative breakage model.</p>
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<p><span class="html-italic">e</span>-log <span class="html-italic">p</span> curves for calcareous sand samples with varying fines contents (<span class="html-italic">D</span><sub>r</sub> = 50%). <span class="html-italic">e</span>: void ratio.</p>
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<p>The relationship between compression coefficient and initial void ratio of calcareous sand with varying fines contents (<span class="html-italic">D</span><sub>r</sub> = 50%).</p>
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<p>Vertical compression deformation with varying fines contents under different levels of axial load (<span class="html-italic">D</span><sub>r</sub> = 50%).</p>
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<p>Variation of the coefficient of volumetric compressibility with varying fines contents under different levers of axial load (<span class="html-italic">D</span><sub>r</sub> = 50%).</p>
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<p>The variation of the coefficient of volumetric compressibility of clean sand and mixed sand samples with axial load under different initial relative densities.</p>
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<p>Interparticle contact state classification for calcareous clean sand and silty sand.</p>
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16 pages, 5554 KiB  
Article
Unmanned Aerial Vehicle Photogrammetry for Monitoring the Geometric Changes of Reclaimed Landfills
by Grzegorz Pasternak, Klaudia Pasternak, Eugeniusz Koda and Paweł Ogrodnik
Sensors 2024, 24(22), 7247; https://doi.org/10.3390/s24227247 - 13 Nov 2024
Viewed by 281
Abstract
Monitoring reclaimed landfills is essential for ensuring their stability and monitoring the regularity of facility settlement. Insufficient recognition of the magnitude and directions of these changes can lead to serious damage to the body of the landfill (landslides, sinkholes) and, consequently, threaten the [...] Read more.
Monitoring reclaimed landfills is essential for ensuring their stability and monitoring the regularity of facility settlement. Insufficient recognition of the magnitude and directions of these changes can lead to serious damage to the body of the landfill (landslides, sinkholes) and, consequently, threaten the environment and the life and health of people near landfills. This study focuses on using UAV photogrammetry to monitor geometric changes in reclaimed landfills. This approach highlights the advantages of UAVs in expanding the monitoring and providing precise information critical for decision-making in the reclamation process. This study presents the result of annual photogrammetry measurements at the Słabomierz–Krzyżówka reclaimed landfill, located in the central part of Poland. The Multiscale Model to Model Cloud Comparison (M3C2) algorithm was used to determine deformation at the landfill. The results were simultaneously compared with the landfill’s reference (angular–linear) measurements. The mean vertical displacement error determined by the photogrammetric method was ±2.3 cm. The results showed that, with an appropriate measurement methodology, it is possible to decide on changes in geometry reliably. The collected 3D data also gives the possibility to improve the decision-making process related to repairing damage or determining the reclamation direction of the landfill, as well as preparing further development plans. Full article
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<p>View of the Słabomierz–Krzyżówka landfill from a (<b>a</b>) south-east and (<b>b</b>) north-east direction.</p>
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<p>Location of GCPs on the generated orthophotomap of the landfill (<b>left</b>) and on the DSM (<b>right</b>).</p>
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<p>Flowchart of research methodology.</p>
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<p>M3C2 algorithm functional rule.</p>
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<p>Distance Uncertainty calculated by the M3C2 algorithm.</p>
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<p>Differential point cloud showing vertical displacements of the Słabomierz–Krzyżówka landfill body.</p>
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<p>Vertical cross-section (<b>up</b>) and vertical displacements of the slope (<b>down</b>).</p>
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<p>Examples of damage caused by surface runoff of rainwater on orthophotomap—Set 1: (<b>a</b>,<b>d</b>,<b>g</b>);—Set 2: (<b>b</b>,<b>e</b>,<b>h</b>), and on differential point cloud: (<b>c</b>,<b>f</b>,<b>i</b>).</p>
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24 pages, 1596 KiB  
Article
Integrated Assessment of Metal Contamination of Soils, Sediments, and Runoff Water in a Dry Riverbed from a Mining Area Under Torrential Rain Events
by José Cuevas, Ángel Faz, Silvia Martínez-Martínez, Juan Beltrá and José A. Acosta
Land 2024, 13(11), 1892; https://doi.org/10.3390/land13111892 - 12 Nov 2024
Viewed by 321
Abstract
Dry riverbeds can transport mining waste during torrential rain events, disseminating pollutants from mining areas to natural ecosystems. This study evaluates the impact of these mine wastes on soils, sediments, and runoff/pore water in the La Carrasquilla dry riverbed (southeastern Spain). An integrated [...] Read more.
Dry riverbeds can transport mining waste during torrential rain events, disseminating pollutants from mining areas to natural ecosystems. This study evaluates the impact of these mine wastes on soils, sediments, and runoff/pore water in the La Carrasquilla dry riverbed (southeastern Spain). An integrated approach utilizing geochemical and mineralogical techniques was employed, analyzing water, soil, and sediment samples from both the headwater and mouth of the riverbed. Soil profiles and pore water were collected at 30 cm, 60 cm, and 90 cm deep, alongside sediment and runoff water samples. The assessment of metal(loid) contamination focused on arsenic, cadmium, chromium, copper, iron, nickel, manganese, zinc, and lead, utilizing sequential extraction to evaluate metal partitioning across soil phases. Various pollution indices, including the contamination factor (Cf), pollution load index (PLI), potential ecological risk index (RI), and metal(loid) evaluation index (MEI), were employed to classify contamination levels. The highest level of contamination was reported in the headwater, which suggested anthropogenic activities linked to the presence of mining residues as the major source of metal(loid)s. However, an active deposition of As, Cd, Cu, Fe, Mn, and Zn was reported in the topsoil at the mouth. In the headwater, a quartz and muscovite-rich zone exhibited the highest Cf for Pb (1022), primarily bound to the soil residual fraction (62.8%). At the headwater and mouth, pore water showed higher concentrations of sulfate, Ca, Na, Cl, Mg, and Mn and higher salinity than acceptable limits for drinking water or irrigation established by the World Health Organization. Runoff-water metal concentrations surpassed established guidelines, with MEI values indicating significant contamination by cadmium (36.1) and manganese (19.0). These findings highlight the considerable ecological risk of Pb and underscore the need for targeted remediation strategies to mitigate environmental impacts in the Mar Menor coastal lagoon. Full article
(This article belongs to the Special Issue The Impact of Extreme Weather on Land Degradation and Conservation)
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<p>Sampling area and layout of La Carrasquilla dry riverbeds located in the Cartagena-La Unión mining district. The figure includes: the topography highlighting elevation in the study area, and the hydrology with the mining area border and main riverbed network.</p>
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<p>Temporal representation of sampling campaigns in the headwater and mouth of the La Carrasquila dry riverbed.</p>
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<p>The PLIs (<b>a</b>) and RIs (<b>b</b>) of soil layers in the headwater and the mouth of the La Carrasquilla dry riverbed. Neeraj et al. [<a href="#B40-land-13-01892" class="html-bibr">40</a>] established the classification as follows: unpolluted (0 &lt; PLI ≤ 1), unpolluted to moderately polluted (1 &lt; PLI ≤ 2), moderately polluted (2 &lt; PLI ≤ 3), moderately to highly polluted (3 &lt; PLI ≤ 4), highly polluted (4 &lt; PLI ≤ 5), or very highly polluted (PLI &gt; 5). Hakanson [<a href="#B37-land-13-01892" class="html-bibr">37</a>] categorized RI &lt; 150 as low potential ecological risk; 150 ≤ RI &lt; 300 as moderate; 300 ≤ RI &lt; 600 as high; and RI ≥ 600 as significantly high.</p>
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<p>Eris of sediments in the headwater (<b>a</b>) and the mouth (<b>b</b>) of the La Carrasquilla dry riverbed.</p>
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23 pages, 6301 KiB  
Article
The Effects of an Adaptive Ventilation Control System on Indoor Air Quality and Energy Consumption
by Vasilica Vasile, Vlad Iordache, Valentin Mihai Radu, Cristian Petcu and Claudiu-Sorin Dragomir
Sustainability 2024, 16(22), 9836; https://doi.org/10.3390/su16229836 - 11 Nov 2024
Viewed by 455
Abstract
Indoor air quality (IAQ) and energy consumption (Q) are well-known building estimators, but they are used separately. Energy consumption is used during the design stage, while IAQ is used during operation. The novelty of our approach is that we propose using both estimators [...] Read more.
Indoor air quality (IAQ) and energy consumption (Q) are well-known building estimators, but they are used separately. Energy consumption is used during the design stage, while IAQ is used during operation. The novelty of our approach is that we propose using both estimators simultaneously during building operations. The purpose of this study was to find an adaptive ventilation strategy that maintained good indoor air quality with minimal energy consumption. The second novelty of our approach consists of IAQ estimation. While the operation of ventilation systems depends only on the indoor carbon dioxide (CO2) concentration at present, our novel approach uses a more global IAQ index that includes four different air pollutants. Physical models are used for the hourly prediction of the two indices: global IAQ and Q. This study presents a comparative analysis of several ventilation operations strategies: fixed versus adaptive. The main findings show that a decrease in the ventilation rate, na, from 3.5 h−1 to 2.0 h−1 leads to a diminishment in energy consumption of 42.9%, maintaining the global IAQ index under the limited health risk value (VRL). Moreover, an adaptive ventilation strategy of na, maintaining the global IAQ index value under VRL, achieves a further reduction in energy consumption of 72.9%, highlighting its efficiency. Full article
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<p>A flowchart of the research methodology.</p>
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<p>A roadmap for obtaining adaptive ventilation systems to maintain good IAQ with minimal Q.</p>
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<p>The indoor space physical model [<a href="#B46-sustainability-16-09836" class="html-bibr">46</a>].</p>
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<p>The energy classes and scale for one hour of heating, customized for the studied space, in kWh.</p>
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<p>Th effects of fixed and adaptive ventilation strategies on the indoor O<sub>3</sub> concentration.</p>
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<p>The effects of fixed and adaptive ventilation strategies on the indoor PM<sub>2.5</sub> concentration (without an episode of an extreme enhancement in the concentration).</p>
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<p>The effects of fixed and adaptive ventilation strategies on the indoor PM<sub>2.5</sub> concentration (with an episode of an extreme enhancement in the concentration).</p>
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<p>The effects of fixed and adaptive ventilation strategies on the indoor HCHO concentration.</p>
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<p>The effects of fixed and adaptive ventilation strategies on the indoor CO<sub>2</sub> concentration.</p>
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<p>The effects of fixed and adaptive ventilation strategies on the indoor air quality index.</p>
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<p>A comparative analysis of the event of an extreme episode of one of the pollutants.</p>
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<p>The effects of fixed and adaptive ventilation strategies on energy consumption.</p>
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<p>The energy consumption when using fixed and adaptive ventilation strategies.</p>
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29 pages, 11031 KiB  
Article
The Potential of Micro-Dictum Preparation in Surface Water Reclamation Subject to Strong Anthropogenic Pressure
by Jerzy Mirosław Kupiec
Water 2024, 16(22), 3243; https://doi.org/10.3390/w16223243 - 11 Nov 2024
Viewed by 389
Abstract
The aim of this research was to analyze the potential of e micro-dictum preparation containing compositions of beneficial microorganisms using this product in surface water reclamation. The experiments were carried out in 2016. The scope of this research included the analysis of the [...] Read more.
The aim of this research was to analyze the potential of e micro-dictum preparation containing compositions of beneficial microorganisms using this product in surface water reclamation. The experiments were carried out in 2016. The scope of this research included the analysis of the physical and chemical properties of a solid preparation; tests of the microbiological parameters of micro-dictum; an analysis of the spread of microorganisms in the aquatic environment; a study of water quality with the solid preparation; and tests of the formulation in real conditions and its potential in the reclamation of surface waters. Tests on the produced formulation were carried out in the laboratory in containers and under real conditions. Laboratory tests have shown that the analyzed preparation may introduce certain amounts of nitrogen and phosphorus into the water. However, they are not important in the case of water reclamation. Analyses of the micro-dictum preparation showed that the content of lactic acid bacteria in the center of the ball is lower compared to the outer layers. The results describing an increase in the number of lactic acid bacteria correlate with a decrease in pH and oxygen dissolved in the water with the preparation. The tests showed no negative impact on changes in the physical and chemical properties of water at the site of application. Changes in physical parameters were recorded, in particular dissolved oxygen and pH at the bottom, where the greatest microbiological activity occurred. Full article
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<p>Cross-section of micro-dictum balls.</p>
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<p>Micro-dictum balls ready for use.</p>
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<p>Visualization of a cross-section of a micro-dictum preparation for the purpose of examining the number of microorganisms.</p>
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<p>Location of sample sites in the SED-BIO system.</p>
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<p>Physical changes in water in selected containers with the preparation: (<b>A</b>)—beginning of the experiment (container 1); (<b>B</b>)—beginning of the experiment (container 2); (<b>C</b>)—after 24 h of incubation (container 3); (<b>D</b>)—after 24 h of incubation (container 4); (<b>E</b>)—after two days of incubation (container 5); and (<b>F</b>)—after two days of incubation (container 1).</p>
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<p>Physical changes in water in selected containers with the preparation: (<b>A</b>)—after three days of incubation (container 2); (<b>B</b>)—after three days of incubation (container 3); (<b>C</b>)—after four days of incubation (container 1); (<b>D</b>)—after four days of incubation (container 4); (<b>E</b>)—after five days of incubation (container 5); and (<b>F</b>)—after five days of incubation (container 1).</p>
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<p>Physical changes in water in selected containers with the preparation: (<b>A</b>)—after six days of incubation (container 1); (<b>B</b>)—after six days of incubation (container 2); (<b>C</b>)—after sixteen days of incubation (container 3); (<b>D</b>)—after sixteen days of incubation (container 4); (<b>E</b>)—after thirty-four days of incubation (container 5); and (<b>F</b>)—after thirty-four days of incubation (container 1).</p>
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<p>Physical changes in the water in container no. 6 with the preparation located outside the building: (<b>A</b>)—after 24 h of incubation; (<b>B</b>)—after two days of incubation; (<b>C</b>)—after three days of incubation; (<b>D</b>)—after five days of incubation; (<b>E</b>)—after six days of incubation; (<b>F</b>)—after sixteen days of incubation; and (<b>G</b>)—after thirty-four days of incubation.</p>
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<p>Physical changes in water in a container with forced circulation and the preparation placed in it: (<b>A</b>)—beginning of the experiment; (<b>B</b>)—after 24 h of incubation; (<b>C</b>)—after two days of incubation; (<b>D</b>)—after four days of incubation; (<b>E</b>)—after five days of incubation; and (<b>F</b>)—after six days of incubation.</p>
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<p>Comparison of trends in changes in physical parameters of water to which micro-dictum balls were applied: containers in the laboratory vs. outdoor container: (<b>A</b>)—temperature; (<b>B</b>)—pH; (<b>C</b>)—electrolytic conductivity; (<b>D</b>)—dissolved oxygen.</p>
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<p>Trends in changes in the physical parameters of water to which micro-dictum balls were applied, in a container with forced water circulation: (<b>A</b>)—temperature; (<b>B</b>)—pH; (<b>C</b>)—electrolytic conductivity; and (<b>D</b>)—dissolved oxygen.</p>
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<p>Concentrations of selected biogenic substances in five analyzed containers with the micro-dictum preparation.</p>
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<p>Physical parameters at the water surface and bottom, in the sedimentation zone of the SED-BIO system in section A: years 2016 (<b>A</b>,<b>B</b>) and 2022 (<b>C</b>,<b>D</b>).</p>
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<p>Phosphorus compounds at water sampling points in the SED-BIO system in 2016 (<b>A</b>,<b>B</b>) and 2022 (<b>C</b>,<b>D</b>).</p>
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<p>Places of greatest anthropogenic pressure modifying the quality of water in the Gnieźnieńska Struga river: 1—settling tanks of the former sugar factory; 2—allotment gardens; 3—storm sewage system with periodic discharge of municipal sewage from the treatment plant; 4—combined sewage system; 5—temporarily activated storm sewage system; and 6—surface runoff.</p>
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28 pages, 6312 KiB  
Article
Reclamation and Improvement of Saline Soils Using Organo–Mineral–Natural Resources, Treated Saline Water, and Drip Irrigation Technology
by Nahla A. Hemdan, Soad M. El-Ashry, Sameh Kotb Abd-Elmabod, Zhenhua Zhang, Hani A. Mansour and Magdy Attia
Water 2024, 16(22), 3234; https://doi.org/10.3390/w16223234 - 10 Nov 2024
Viewed by 792
Abstract
Reclamation and management of saline soil in arid regions fundamentally require more consideration to attain sustainable agriculture. Experiments were conducted at Abo-Kalam Farm, South Sinai, Egypt. Split-split-plot design experiments were carried out to study the effect of treatments on saline soil hydrophysical properties, [...] Read more.
Reclamation and management of saline soil in arid regions fundamentally require more consideration to attain sustainable agriculture. Experiments were conducted at Abo-Kalam Farm, South Sinai, Egypt. Split-split-plot design experiments were carried out to study the effect of treatments on saline soil hydrophysical properties, sorghum, and cv. ‘Dorado’ plants during the summer season. Pea cv. ‘Entsar 3’ plants were cultivated during the winter season for the residual effect of treatments. Organo–mineral amendment (rice straw compost + mineral sulfur at different rates) was assigned as the main factor, natural rock or artificial fertilizers were assigned as subfactors, and humic acid at different rates was the sub-subfactor. Results showed that organo–mineral amendments improved the hydrophysical properties of the soil, plant nutrient uptake, crop yield, and crop water productivity; however, it diminished by 10 tons/fed (4200 m2) of compost plus 700 kg/fed of mineral sulfur. Therefore, it is recommended that economically using the combination of applying organic–mineral amendments of 4 tons/fed of compost plus 400 kg/fed of mineral sulfur and 5 kg/fed of humic acid plus natural rock fertilizer is the best safe management for reclamation and improvement of saline soils using partially treated saline irrigation water and natural resources. Full article
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<p>Location of the experiment at NRC’s Agricultural Research Station (Abo-Kalam Farm) Tor, South Sinai, Egypt.</p>
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<p>Graph of the studied split-split-plot design experiments.</p>
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<p>Organo–mineral–natural resources are identified by FTIR spectroscopy: (<b>a</b>–<b>d</b>) function groups’ intensity of elemental sulfur and rock phosphate, feldspar (potassium source) peak, and humic acid.</p>
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<p>The general individual effect of organo–mineral–natural resources on sorghum biomass yield tons/fed, where: C1S1, C2S2, C3S3, and C4S4: (Compost (C) rate at 4, 6, 8, and 10 tons/fed + mineral sulfur (S) rate at 400, 500, 600, and 700 kg/fed.), FR: natural rock fertilizers (feldspar and rock phosphate), PK: artificial fertilizers, and H: humic acid (10, 5 and 0 kg/fed). Different letters in the figures show significant differences according to the Tukey–Kramer test (<span class="html-italic">p</span> = 0.05).</p>
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<p>Effect of the organo–mineral–natural resources on total sorghum biomass tons/fed, where: C1S1, C2S2, C3S3, and C4S4: Compost (C) rate at 4, 6, 8, and 10 tons/fed + mineral sulfur (S) rate at 400, 500, 600, and 700 kg/fed.</p>
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<p>General individual residual effect of organo–mineral–natural resources on pea pod yield kg/fed, where: C1S1, C2S2, C3S3, and C4S4: (Compost (C) rate at 4, 6, 8, and 10 tons/fed + mineral sulfur (S) rate at 400, 500, 600, and 700 kg/fed.), RF: natural rock fertilizers (rock phosphate and feldspar), PK: artificial fertilizers, and H: humic acid (10, 5, and 0 kg/fed). Different letters in the figures show significant differences according to the Tukey–Kramer test (<span class="html-italic">p</span> = 0.05).</p>
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<p>Effect of the organo–mineral–natural resources on saturated hydraulic conductivity of saline soil, where: C1, C2, C3, and C4: (Compost rate at 4, 6, 8, and 10 tons/fed +mineral sulfur rate at 400, 500, 600, and 700 kg/fed.), FR: natural rock fertilizers (feldspar and rock phosphate), PK: artificial fertilizers, and H: humic acid (10, 5, and 0 kg/fed).</p>
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<p>Effect of the organo–mineral–natural resources on soil hydraulic conductivity (Hc); N, Na, and K concentrations % in the sorghum plant leaves; sorghum water productivity, where: C1, C2, C3, and C4: (Compost rate at 4, 6, 8, and 10 tons/fed + mineral sulfur rate at 400, 500, 600, and 700 kg/fed.), FR: natural rock fertilizers (feldspar and rock phosphate), PK: artificial fertilizers, and H: humic acid (10, 5, and 0 kg/fed).</p>
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<p>The residual effect of the organo–mineral–natural resources on saturated hydraulic conductivity of saline soil, where: C1, C2, C3, and C4: (Compost rate at 4, 6, 8, and 10 tons/fed + mineral sulfur rate at 400, 500, 600, and 700 kg/fed.), FR: natural rock fertilizers (feldspar and rock phosphate), PK: artificial fertilizers, and H: humic acid (10, 5, and 0 kg/fed).</p>
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<p>Effect of the organo–mineral–natural resources on sorghum biomass water productivity (kg/m<sup>3</sup>), where: C1, C2, C3, and C4: (Compost rate at 4, 6, 8, and 10 tons/fed + mineral sulfur rate at 400, 500, 600, and 700 kg/fed.), FR: natural rock fertilizers (feldspar and rock phosphate), PK: artificial fertilizers, and H: humic acid (10, 5, and 0 kg/fed).</p>
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<p>Effect of the organo–mineral–natural resources on net profits, where: C1S1, C2S2, C3S3, where C1S1, C2S2, C3S3, and C4S4: (Compost (C) rate at 4, 6, 8, and 10 tons/fed + mineral sulfur (S) rate at 400, 500, 600, and 700 kg/fed.), FR: natural rock fertilizers (feldspar and rock phosphate), PK: artificial fertilizers, H: humic acid (10, 5, and 0 kg/fed), and LE: Egyptian pound, fed = 4200 m<sup>2</sup>.</p>
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18 pages, 3714 KiB  
Article
Effects of Biochar on the Growth and Physiological and Mechanical Properties of Cucumber Plug Seedlings Before and After Transplanting
by Guoxin Ma, Qiang Shi, Yuanchao Wu, Yang Liu, Lvhua Han, Jianping Hu, Hanping Mao and Zhiyu Zuo
Agriculture 2024, 14(11), 2012; https://doi.org/10.3390/agriculture14112012 - 8 Nov 2024
Viewed by 363
Abstract
Since the characteristics of plug seedlings affect the effectiveness of automatic transplanting, this study aimed to explore the effect of the addition of biochar into substrates on the growth of plug seedlings before and after transplanting. The physicochemical properties of substrates with 0%, [...] Read more.
Since the characteristics of plug seedlings affect the effectiveness of automatic transplanting, this study aimed to explore the effect of the addition of biochar into substrates on the growth of plug seedlings before and after transplanting. The physicochemical properties of substrates with 0%, 5%, 10%, 15%, 20%, and 25% biochar addition all met the requirements of seedling cultivation. The growth trend, root systems, and mechanical properties of seedlings before transplanting and the leaf gas exchange parameters of seedlings after transplanting were measured in this study. The results indicated that the seedlings cultivated with 10% biochar added to the substrate achieved the best growth trend and physiological indices, and the root systems under this treatment were also stronger than those of other treatments, while the seedlings cultivated with 25% biochar treatment were the worst, with less than 22.23% of the growth seen in the 10% biochar treatment, and even less than 1.5% of the growth of the seedlings cultivated without biochar treatment. Since the strong root systems could enhance the mechanical properties of seedling pots, the seedling pots cultivated with 10% biochar added into the substrate possessed the best compression resistance properties, with the maximum value of 49.52 N, and could maintain maximum completeness after free-fall impacting, wherein the loss of root and substrate was only 8.22%. The analysis results of seedlings cultivated after impacting proposed that the seedlings with better growth trends and root systems before transplanting could obtain better leaf gas exchange parameters during the flower stage after transplanting, so the seedlings cultivated with 5%~10% biochar added into the substrate grew better after impacting and then transplanting. It was noticed that the seedlings cultivated with appropriate biochar added into the substrate were able to achieve the optimal growth parameters and mechanical properties before and after transplanting, which were better able to meet the requirements of automatic transplanting. Thus, this study can promote the development of automatic transplanting technology to some extent. Full article
(This article belongs to the Section Agricultural Technology)
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<p>The basic growth parameters of seedlings with different treatments: (<b>a</b>) Plant height; (<b>b</b>) Leaf expansion; (<b>c</b>) Stem diameter; (<b>d</b>) Leaf and stem dry matter. The values shown were significant when <span class="html-italic">p</span> &lt; 0.05 by the least significant difference (LSD) multiple comparison method as indicated by different letters.</p>
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<p>The sugar content of leaf and stem of plug seedlings under different treatments: (<b>a</b>) Soluble sugar content; (<b>b</b>) Sucrose content. The value shown was significant when <span class="html-italic">p</span> &lt; 0.05 by the least significant difference (LSD) multiple comparison method as indicated by different letters.</p>
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<p>The calibration set and validation set scatter plot of leaf nitrogen content: (<b>a</b>) Calibration set; (<b>b</b>) Validation set.</p>
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<p>Reflectance of seedling leaves cultivated under different treatments.</p>
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<p>The chemical composition content of root system cultivated under different treatments.</p>
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<p>The mechanical properties of root system under different treatments: (<b>a</b>) Tensile properties of root systems; (<b>b</b>) Shear properties of root systems.</p>
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<p>The mechanical property of seedling pots cultivated under different treatments: (<b>a</b>) The compression resistance; (<b>b</b>) The impacting resistance. The value shown was significant when <span class="html-italic">p</span> &lt; 0.05 by the least significant difference (LSD) multiple comparison method as indicated by different letters.</p>
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<p>The damage degree of seedling pots after impacting: (<b>a</b>) Small damage degree; (<b>b</b>) Large damage degree. Notes: The red boxed area in the figure was the damaged area where the seedling pots were impacted.</p>
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25 pages, 11128 KiB  
Article
Spatiotemporal Changes and Utilization Intensity of the Zhoushan Archipelago Coastline over Four Decades
by Zhuocheng Liu, Lianqiang Shi, Junli Guo, Tinglu Cai, Xinkai Wang and Xiaoming Xia
J. Mar. Sci. Eng. 2024, 12(11), 2013; https://doi.org/10.3390/jmse12112013 - 8 Nov 2024
Viewed by 313
Abstract
Coastal changes in China, notably in the Zhoushan Islands, have primarily been driven by coastal reclamation since the establishment of New China. This study conducted a comprehensive analysis of the Zhoushan Archipelago shoreline spanning four decades, employing remote sensing, aerial photographs, and shoreline [...] Read more.
Coastal changes in China, notably in the Zhoushan Islands, have primarily been driven by coastal reclamation since the establishment of New China. This study conducted a comprehensive analysis of the Zhoushan Archipelago shoreline spanning four decades, employing remote sensing, aerial photographs, and shoreline data since 1984, along with GIS (Geographic Information System) technology. We assessed shoreline changes using the shoreline change index and shoreline artificialization index, as well as examined the influence of the Yangtze River’s suspended sediment and impoldering activities on Zhoushan’s shoreline. Furthermore, the correlation between local economic development and shoreline development was explored. The results revealed the following key findings: (1) From 1984 to 2018, the Zhoushan Archipelago shoreline decreased by 7.05 km. Temporally, the shoreline change index was −0.08%, with the most significant reduction occurring between 2008 and 2018. Spatially, differences among island groups were not pronounced. (2) The shoreline diversity index consistently increased, indicating greater diversity and complexity in shoreline use over the four decades. (3) The shoreline artificiality index steadily rose, particularly after 2000. It was highest in the south, followed by the center, and lowest in the north. (4) The intensity index of coastal land use continuously increased, with the southern island group having a higher index compared to the Zhoushan Islands. (5) The Yangtze River contributed significantly to sand inflow, influencing shoreline changes and beach shaping in Zhejiang. However, reclamation projects were identified as the primary and direct factor. (6) A positive correlation existed between Zhoushan City’s economic development and the intensity of coastal land use. This study emphasized the need for improving the control over reclamation projects and the better management of coastal protection and use. These measures could optimize resource allocation and establish a more scientific and rational coastal zone pattern. Full article
(This article belongs to the Section Coastal Engineering)
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<p>Changes in the length of the southern coastline of the Zhoushan Archipelago from 1984 to 2000.</p>
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<p>Changes in shoreline length in the northern Zhoushan Archipelago from 2000 to 2008.</p>
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<p>Changes in shoreline length in the central Zhoushan Archipelago from 2000 to 2008.</p>
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<p>Changes in the length of the southern coastline of the Zhoushan Archipelago from 2000 to 2008.</p>
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<p>Changes in shoreline length in the southern Zhoushan Archipelago from 2008 to 2018.</p>
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<p>Changes in the length of the northern coastline of the Zhoushan Archipelago from 2008 to 2018.</p>
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<p>Changes in shoreline length in the central Zhoushan Archipelago from 2008 to 2018.</p>
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<p>Changes in the length of natural shoreline in the Zhoushan Archipelago from 1984 to 2018.</p>
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<p>Change in length of artificial shoreline in Zhoushan Archipelago from 1984 to 2018.</p>
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<p>Changes in the Zhoushan Archipelago shoreline diversity index.</p>
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<p>Changes in the Zhoushan Archipelago shoreline artificiality index from 1984 to 2018.</p>
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<p>Changes in the shoreline use intensity index of the Zhoushan Archipelago from 1984 to 2018.</p>
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<p>Relationship between land area and shoreline length in the Zhoushan Archipelago from 1984 to 2018. Land area data were applied from Cao et al. [<a href="#B62-jmse-12-02013" class="html-bibr">62</a>].</p>
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<p>Relationship between land area and shoreline diversity index in the Zhoushan Archipelago from 1984 to 2018.</p>
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<p>Statistics on GDP and shoreline use intensity index in Zhoushan City from 1984 to 2018.</p>
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<p>Statistics of GDP and shoreline artificiality index in Zhoushan City from 1984 to 2018.</p>
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14 pages, 5375 KiB  
Article
Patterns and Driving Mechanisms of Soil Organic Carbon, Nitrogen, and Phosphorus, and Their Stoichiometry in Limestone Mines of Anhui Province, China
by Yiyi Long, Dandan Zhang, Hongmiao Wu, Jinsheng Li, Peifeng Xiong, Guohong Zhao, Hai Liu, Boren Wu and Zhen Zhang
Forests 2024, 15(11), 1969; https://doi.org/10.3390/f15111969 - 8 Nov 2024
Viewed by 347
Abstract
Active vegetation restoration plays an important role in the improvement in soil organic matter (SOM), including the carbon (C), nitrogen (N) and phosphorus (P) sequestration of degraded mining ecosystems. However, there is still a lack of understanding of the key drivers of SOM [...] Read more.
Active vegetation restoration plays an important role in the improvement in soil organic matter (SOM), including the carbon (C), nitrogen (N) and phosphorus (P) sequestration of degraded mining ecosystems. However, there is still a lack of understanding of the key drivers of SOM pool size and dynamics in active vegetation restoration. For this study, soil was collected from five different sites (Xiaoxian, Dingyuan, Chaohu, Tongling and Dongzhi), four habitats (platforms, slopes, steps and native areas) and two soil layers (0–20 cm and 20–40 cm) in limestone mines of Anhui province to quantify the spatial distribution of SOM contents and their stoichiometric characteristics and influential factors. It was found that the top soil in Chaohu had the highest significant C, N and P contents in the ranges of 14.95–17.97, 1.74–2.21 and 0.80–1.24 g/kg, respectively. Comparing the stoichiometric ratios of the different sites revealed significant differences in C:N and N:P ratios, but C:P ratios were relatively consistent. In particular, the C:N and C:P ratios in deep soil were higher than those in top soil, whereas the N:P ratio in deep soil was lower than that in top soil, suggesting that soil N is a major limiting factor in the top soil. The SOM content did not differ significantly between the three reclaimed habitats, but was significantly higher than that in the native habitat, suggesting that mine restoration has significantly enhanced SOM accumulation. Further analysis showed that nutrient availability and enzyme activity are important factors affecting soil C, N and P content in top soil, while the relationship gradually weakens in deep soil. This was attributed to active anthropogenic management and conservation measures during the early stages of reclamation. This study shows that the ecological recovery of the mining area can be enhanced by implementing differentiated vegetation planting strategies and anthropogenic management on different habitats in the mining area. Full article
(This article belongs to the Special Issue Soil Organic Carbon and Nutrient Cycling in the Forest Ecosystems)
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<p>Soil total carbon (<b>a</b>), nitrogen (<b>b</b>), phosphorus (<b>c</b>) and their stoichiometric ratio (<b>d</b>–<b>f</b>) from different sites and layers. Different capital letters over the bars indicate statistical significance among different sites in the same layer at <span class="html-italic">p</span> &lt; 0.05. The lines with * are significantly different between the top and deep layer at the same site. **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001, ns, no significant difference. XX, Xiaoxian; DY, Dingyuan; CH, Chaohu; TL, Tongling; DZ, Dongzhi. TC, total carbon; TN, total nitrogen; TP, total phosphorus.</p>
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<p>Soil carbon (<b>a</b>), nitrogen (<b>b</b>), phosphorus (<b>c</b>) and their stoichiometric ratio (<b>d</b>–<b>f</b>) from different habitats and layers. Different capital letters over the bars indicate statistical significance among different habitats in the same layer at <span class="html-italic">p</span> &lt; 0.05. The lines with * are significantly different between the top and deep layer in the same habitats. *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001, ns, no significant difference. See abbreviations in <a href="#forests-15-01969-f001" class="html-fig">Figure 1</a>.</p>
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<p>The soil enzyme-C (<b>a</b>), enzyme-N (<b>b</b>), enzyme-P (<b>c</b>) and catalase (<b>d</b>) activities from different sites and layers. Different capital letters over the bars indicate statistical significance among different sites in the same layer at <span class="html-italic">p</span> &lt; 0.05. The lines with * are significantly different between the top and deep layer under the same site. *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001, ns, no significant difference. See abbreviations in <a href="#forests-15-01969-f001" class="html-fig">Figure 1</a>.</p>
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<p>The soil enzyme-C (<b>a</b>), enzyme-N (<b>b</b>), enzyme-P (<b>c</b>) and catalase (<b>d</b>) activities from different habitats and layers. Different capital letters over the bars indicate statistical significance among different habitats in the same layer at <span class="html-italic">p</span> &lt; 0.05. The lines with * are significantly different between the top and deep layer in the same habitats. *, <span class="html-italic">p</span> &lt; 0.05; **, <span class="html-italic">p</span> &lt; 0.01; ***, <span class="html-italic">p</span> &lt; 0.001, ns, no significant difference.</p>
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<p>Pearson correlation coefficients of soil carbon, nitrogen, phosphorus and their stoichiometric ratio on climates, soil properties and soil enzyme activity across different layers (* <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001; numbers are F-values). EC, electrical conductivity; TK, total potassium; AK, available potassium; NO<sub>3</sub><sup>−</sup>, nitrate nitrogen; NH<sub>4</sub><sup>+</sup>, ammonium nitrogen; AP, available phosphorus. EnzC, sucrase; EnzN, urease; EnzP, acid phosphatase; CAT, catalase. See abbreviations in <a href="#forests-15-01969-f001" class="html-fig">Figure 1</a>.</p>
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<p>Relative importance analysis showing independent and combined effects of climate, soil properties and enzyme activities on soil carbon, nitrogen and phosphorus content in top (<b>a</b>–<b>c</b>) and deep soil (<b>d</b>–<b>f</b>). The effects of climates including MAT, MAP, longitude and latitude were marked in red. The soil properties including pH, EC, NO<sub>3</sub><sup>−</sup>, NH<sub>4</sub><sup>+</sup>, TK, AK, and AP were marked in blue, and soil enzyme activities including enzyme-C, enzyme-N, enzyme-P and CAT were marked in greed. See abbreviations in <a href="#forests-15-01969-f001" class="html-fig">Figure 1</a> and <a href="#forests-15-01969-f005" class="html-fig">Figure 5</a>.</p>
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<p>Relative importance analysis showing independent and combined effects of climate, soil properties, and enzyme activities on stoichiometric ratio in top (<b>a</b>–<b>c</b>) and deep soil (<b>d</b>–<b>f</b>). The soil properties including pH, EC, NO<sub>3</sub><sup>−</sup>, NH<sub>4</sub><sup>+</sup>, TK, AK, and AP were marked in blue, and soil enzyme activities including enzyme-C, enzyme-N, enzyme-P and CAT were marked in greed. See abbreviations in <a href="#forests-15-01969-f001" class="html-fig">Figure 1</a> and <a href="#forests-15-01969-f005" class="html-fig">Figure 5</a>.</p>
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11 pages, 1145 KiB  
Article
Closed-Loop Process of Extracting and Separating Zinc Impurities from Industrial Cobalt Products—Pilot Test Study
by Xiaoping Zou, Xiaofei Meng, Yingping Jiang, Xulong Dong and Shili Li
Minerals 2024, 14(11), 1127; https://doi.org/10.3390/min14111127 - 8 Nov 2024
Viewed by 425
Abstract
The cobalt-containing products of an enterprise were selected as the object of this study. The separation effect of Cyanex 272 on Zn and Co was studied through a pilot test. The results showed that Cyanex 272 had a high extraction rate for Zn [...] Read more.
The cobalt-containing products of an enterprise were selected as the object of this study. The separation effect of Cyanex 272 on Zn and Co was studied through a pilot test. The results showed that Cyanex 272 had a high extraction rate for Zn at pH 3–3.4, up to 99.8%. The extracted Zn2+ was enriched in the organic phase, and the Zn2+ in the organic phase was extracted back into the aqueous phase in the stripping stage by adding strong acid. Addition amounts of strong acid of 50 g·L−1, 80 g·L−1, and 100 g·L−1 were set. The results showed that the addition amounts of 80 g·L−1 and 100 g·L−1 could significantly reduce the pH of the back-extraction solution and effectively enrich Zn2+ in the solution. There was a large amount of Zn2+ in the back-extraction solution, which could be used twice to prepare zinc carbonate products through neutralization and precipitation. By comparing the extraction effect, economic cost, and resource loss under different strong acid addition amounts, it was found that the 80 g·L−1 strong acid addition amount was more suitable for the actual production process. This study provides data support and practical evidence for the selection of industrial extraction process parameters for Zn2+ separation in actual cobalt products. Full article
(This article belongs to the Section Mineral Processing and Extractive Metallurgy)
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<p>Process flow diagram of continuous extraction test.</p>
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<p>Effects of different sulfuric acid addition amounts on pH with running time. Note: Figure (<b>a</b>–<b>c</b>) refer to the pH changes in the extraction system under the conditions of a 50 g·L<sup>−1</sup>, an 80 g·L<sup>−1</sup>, and a 100 g·L<sup>−1</sup> addition of strong acid, respectively.</p>
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<p>Effects of different sulfuric acid addition amounts on concentration of Zn<sup>2+</sup> and Co<sup>2+</sup> in liquid phase with running time. Note: Figure (<b>a</b>,<b>d</b>) refer to the changes in aqueous Zn and Co in the extraction system with time under the condition that the addition of strong acid is 50 g·L<sup>−1</sup>. Figure (<b>b</b>,<b>e</b>) refer to the changes in aqueous Zn and Co in the extraction system with time under the condition that the addition of strong acid is 80 g·L<sup>−1</sup>. Figure (<b>c</b>,<b>f</b>) show changes in Zn<sup>2+</sup> and Co<sup>2+</sup> in aqueous phase with time under the condition of 100 g·L<sup>−1</sup> strong acid addition.</p>
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15 pages, 4118 KiB  
Article
Antibacterial, Herbicidal, and Plant Growth-Promoting Properties of Streptomyces sp. STD57 from the Rhizosphere of Adenophora stricta
by Dan He, Congting Gao, Shen Zhao, Hongmin Chen, Peng Li, Xishan Yang, Deping Li, Tingting Zhao, Hong Jiang and Chongxi Liu
Microorganisms 2024, 12(11), 2245; https://doi.org/10.3390/microorganisms12112245 - 6 Nov 2024
Viewed by 469
Abstract
Bacterial wilt triggered by the soil-borne pathogenic bacterium Ralstonia solanacearum is one of the most serious diseases in tomato plants, leading to huge economic losses worldwide. Biological control is considered an environmentally friendly and sustainable way to manage soil-borne diseases. In this study, [...] Read more.
Bacterial wilt triggered by the soil-borne pathogenic bacterium Ralstonia solanacearum is one of the most serious diseases in tomato plants, leading to huge economic losses worldwide. Biological control is considered an environmentally friendly and sustainable way to manage soil-borne diseases. In this study, Streptomyces sp. STD57 isolated from the rhizosphere of Adenophora stricta showed strong antibacterial activity against R. solanacearum. Pot experiments showed that strain STD57 exhibited a significant biocontrol effect (81.7%) on tomato bacterial wilt in the greenhouse environment. Furthermore, strain STD57 could inhibit the growth of weeds (Amaranthus retroflexus, Portulaca oleracea, and Echinochloa crusgalli) but promote the growth of crops (wheat, rice, and tomato). The plant growth-promoting substance was identified as indoleacetic acid (IAA) by high-pressure liquid chromatography–mass spectrometry and genome analysis. Coarse separation of the fermented extracts revealed that the antibacterial and herbicidal substances were mainly in the fermentation supernatant and belonged to different products. These findings suggested that strain STD57 may be a potential biocontrol and bioherbicide agent useful in agriculture. Full article
(This article belongs to the Section Microbial Biotechnology)
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Figure 1
<p>Characterization of strain STD57 with antagonistic activity against <span class="html-italic">R. solanacearum</span>. (<b>A</b>) The antagonistic activity of STD57 against <span class="html-italic">R. solanacearum</span>. (<b>B</b>) Colony morphology of STD57 grown on ISP3 medium for 2 weeks. (<b>C</b>) Scanning electron micrograph of STD57 grown on ISP3 agar for 2 weeks. Scale bar, 5 μm. (<b>D</b>) Phylogenetic tree constructed based on 16S rRNA gene sequences showing the relationship of STD57 with related taxa. Only bootstrap values greater than 50% (percentages of 1000 replications) are shown. Scale bar: 0.002 nucleotide substitutions per site.</p>
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<p>Effect of strain STD57 on tomato plants infected with <span class="html-italic">R. solanacearum</span>. (<b>A</b>) Disease symptoms of tomato bacterial wilt in the potted tomato plants inoculated with <span class="html-italic">R. solanacearum</span> and treated with varying spore concentrations of STD57. (<b>B</b>,<b>C</b>) Disease index and control efficacy were assessed 2 weeks after inoculation with <span class="html-italic">R. solanacearum</span> in tomato plants treated with STD57. Data with different lowercase letters denote significant differences at the 0.05 probability level.</p>
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<p>Preemergence inhibition activities of strain STD57 at different spore concentrations on weeds. (<b>A</b>) Inhibition effects of STD57 at different spore concentrations on different weeds. (<b>B</b>) Inhibition rates of STD57 at different spore concentrations on shoot and root length of <span class="html-italic">A. retroflexus</span>. (<b>C</b>) Inhibition rates of STD57 at different spore concentrations on the shoot and root length of <span class="html-italic">P. oleracea</span>. (<b>D</b>) Inhibition rates of STD57 at different spore concentrations on the shoot and root length of <span class="html-italic">E. crusgalli</span>. *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Postemergence inhibition activities of strain STD57 at different spore concentrations on weeds after mixing spores with soil. (<b>A</b>) Inhibiting effects of STD57 at different spore concentrations on <span class="html-italic">A. retroflexus</span>. (<b>B</b>,<b>C</b>) Inhibition rates of STD57 at different spore concentrations on fresh and dry weight of <span class="html-italic">A. retroflexus</span>. (<b>D</b>) Inhibiting effects of STD57 at different spore concentrations on <span class="html-italic">E. crusgalli</span>. (<b>E</b>,<b>F</b>) Inhibition rates of STD57 at different spore concentrations on fresh and dry weight of <span class="html-italic">E. crusgalli</span>. *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Preemergence growth-promoting activities of strain STD57 at different spore concentrations on crops. (<b>A</b>) Growth-promoting effects of STD57 at different spore concentrations on different crops. (<b>B</b>) Growth-promoting rates of STD57 at different spore concentrations on shoot and root length of wheat. (<b>C</b>) Growth-promoting rates of STD57 at different spore concentrations on the shoot and root length of rice. (<b>D</b>) Growth-promoting rates of STD57 at different spore concentrations on the shoot and root lengths of tomato. ns, no significance; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>Postemergence growth-promoting activities of strain STD57 at different spore concentrations on weeds by spore mixing with soil. (<b>A</b>) Growth-promoting effects of STD57 at different spore concentrations on wheat. (<b>B</b>,<b>C</b>) Growth-promoting rates of STD57 at different spore concentrations on fresh and dry weight of wheat. (<b>D</b>) Growth-promoting effects of STD57 at different spore concentrations on tomato. (<b>E</b>,<b>F</b>) Growth-promoting rates of STD57 at different spore concentrations on fresh and dry weight of tomato. ns, no significance; ** <span class="html-italic">p</span> &lt; 0.01; *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>LC-MS and HPLC analysis of extracts from STD57. (<b>A</b>) LC-MS analysis. (<b>B</b>) HPLC analysis.</p>
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Article
Influence of Reclaimed Water on the Visual Quality of Automotive Coating
by Piotr Woźniak and Marek Gryta
Materials 2024, 17(21), 5382; https://doi.org/10.3390/ma17215382 - 4 Nov 2024
Viewed by 484
Abstract
In the present study, the possibility of recovering water in a car wash station was presented. The resistance of automotive coatings to washing water recovered at 50% and 70% from wastewater generated at car wash was tested. Wastewater treatment was carried out by [...] Read more.
In the present study, the possibility of recovering water in a car wash station was presented. The resistance of automotive coatings to washing water recovered at 50% and 70% from wastewater generated at car wash was tested. Wastewater treatment was carried out by ultrafiltration (UF) using tubular polyvinylidene fluoride (PVDF) membranes (100 and 200 kDa) manufactured by the PCI company. The membranes retained oil contamination, suspended solids, and over 60% of surfactants. For comparison, the 0.5% Turbo Active Green solution, used at professional car washes, was also applied in paint resistance studies. The tested solutions washed the painted surfaces of samples taken from car doors for 8 days. The resistance of automotive coatings to washing solutions was assessed by measuring gloss, Log Haze, RIQ, and Rspec parameters. Scratch resistance was also assessed. The results obtained in the current study indicated that the use of water recovered from wastewater did not deteriorate the quality of the car paint coating. Full article
(This article belongs to the Special Issue Sustainable Materials for Engineering Applications)
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<p>The image of the experimental installation.</p>
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<p>LSM images of tested non-washed samples: (<b>a</b>) R#1, (<b>b</b>) W#1, (<b>c</b>) CH#1.</p>
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<p>Microscopic images of surface CH#2 sample covered with metallic coating: (<b>a</b>) non-washed, (<b>b</b>) after 8 days washing with Permeate 50%.</p>
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<p>LSM images of R samples surface: (<b>a</b>) R#1-non washed, (<b>b</b>) R#1-washed by Turbo Active Green, (<b>c</b>) R#2-washed by Permeate 50%, (<b>d</b>) R#3-washed by Permeate 75%.</p>
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<p>The result of car body samples washing with 0.5% Turbo Active Green solution. Samples: (<b>a</b>,<b>b</b>)—R#1, (<b>c</b>,<b>d</b>)—W#1, and (<b>e</b>,<b>f</b>)—CH#1. Goniophotometric profiles: (<b>b</b>,<b>d</b>,<b>f</b>).</p>
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<p>The result of car body samples washing with 0.5% Turbo Active Green solution. Samples: (<b>a</b>,<b>b</b>)—R#1, (<b>c</b>,<b>d</b>)—W#1, and (<b>e</b>,<b>f</b>)—CH#1. Goniophotometric profiles: (<b>b</b>,<b>d</b>,<b>f</b>).</p>
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<p>The results R samples washing with the UF permeates: (<b>a</b>,<b>b</b>) R#2-Permeate 50%, (<b>c</b>,<b>d</b>) R#3-Permeate 75%. Goniophotometric profiles: (<b>b</b>,<b>d</b>).</p>
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<p>The results of W samples washing with the UF permeates: (<b>a</b>,<b>b</b>) W#2—Permeate 50%, (<b>c</b>,<b>d</b>) W#3—Permeate 75%. Goniophotometric profiles: (<b>b</b>,<b>d</b>).</p>
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<p>LSM images surface of W#2 sample: (<b>a</b>) non-washed, (<b>b</b>) after 8 days washing with Permeate 50%.</p>
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<p>The results of CH#2 sample washing with Permeate 50%. (<b>a</b>) changes during 8 days of washing, (<b>b</b>) goniophotometric profiles.</p>
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<p>SEM image surface of filter paper applied for scratch resistance tests.</p>
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<p>Microscopic images of the surface of R samples used for the scratch resistance test: (<b>a</b>) R#6 new, (<b>b</b>) R#6-rubbed 10 times through filter paper, (<b>c</b>) R#4–8 days washed with Turbo Active Green solution and rubbed daily through filter paper, (<b>d</b>) R#5–8 days washed with Permeate 50% solution and rubbed daily through filter paper.</p>
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<p>Changes of the clearcoat parameters during the scratch test with 8 days washing by 0.5% solution of Turbo Active Green-sample R#4 (<b>a</b>,<b>b</b>) and Permeate 50%-sample R#5 (<b>c</b>,<b>d</b>).</p>
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