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Search Results (3,254)

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21 pages, 4354 KiB  
Article
Transboundary Water Allocation under Water Scarcity Based on an Asymmetric Power Index Approach with Bankruptcy Theory
by Jianan Qin, Xiang Fu, Xia Wu, Jing Wang, Jie Huang, Xuxun Chen, Junwu Liu and Jiantao Zhang
Water 2024, 16(19), 2828; https://doi.org/10.3390/w16192828 (registering DOI) - 6 Oct 2024
Viewed by 144
Abstract
Cooperative and self-enforceable water allocation is a key instrument to manage geopolitical conflict induced by water scarcity, which necessitates the cooperative willingness of the agents and considers their heterogeneity in geography, climate, hydrology, environment and social economy. Based on a multi-indicator system that [...] Read more.
Cooperative and self-enforceable water allocation is a key instrument to manage geopolitical conflict induced by water scarcity, which necessitates the cooperative willingness of the agents and considers their heterogeneity in geography, climate, hydrology, environment and social economy. Based on a multi-indicator system that contains asymmetric information on water volume contribution, current water consumption, water economic efficiency and efforts for eco-environmental protection, this study proposed a water allocation framework by combining the asymmetric power index approach with bankruptcy theory for solving the transboundary water allocation problem under scarcity. The proposed method was applied to the Yellow River Basin in northern China, which is mainly shared by nine provincial districts and frequently suffers from severe water shortages, and its results were compared with six alternative methods. The results highlight the necessity of quantifying agents’ willingness to cooperate under the condition of asymmetric negotiation power when making decisions on transboundary water allocations. The proposed method allows for transboundary water allocations through simultaneous consideration of the agent’s willingness to cooperate and asymmetric negotiation power, as well as disagreement allocation points, which ensure the stability, fairness and self-enforceability of allocation results. Therefore, it can offer practical and valuable decision-making insights for transboundary water management under water scarcity. Full article
(This article belongs to the Section Water Resources Management, Policy and Governance)
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<p>Methodological flowchart of the proposed water allocation framework.</p>
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<p>Geographical location of the Yellow River Basin in China.</p>
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<p>Water consumption of each province in YRB.</p>
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<p>Negotiation weight coefficients of nine agents in YRB.</p>
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<p>Water allocation satisfaction of nine agents in YRB under different allocation methods.</p>
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<p>Comparison results between symmetric (SPI-1,2) methods and asymmetric (API-1,2) methods under the “87” Water Allocation Plan (<b>a</b>,<b>b</b>) and the Yellow River Basin Plan (<b>c</b>,<b>d</b>).</p>
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<p>Quantitative results of the willingness of nine agents in YRB to cooperate and the stability of the solutions in equal and asymmetric negotiation cases.</p>
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20 pages, 13807 KiB  
Article
Desertification Mitigation in Northern China Was Promoted by Climate Drivers after 2000
by Haohui Li, Kai Yang, Yang Cui, Lingyun Ai, Chenghai Wang, Zhenting Wang and Caixia Zhang
Remote Sens. 2024, 16(19), 3706; https://doi.org/10.3390/rs16193706 (registering DOI) - 5 Oct 2024
Viewed by 279
Abstract
Desertification greatly threatens the ecological environment and sustainable development over approximately 30% of global land. In this study, the contributions of climate drivers and human activity in shaping the desertification process from 1984 to 2014 were quantified in the desertification-prone region (DPR) in [...] Read more.
Desertification greatly threatens the ecological environment and sustainable development over approximately 30% of global land. In this study, the contributions of climate drivers and human activity in shaping the desertification process from 1984 to 2014 were quantified in the desertification-prone region (DPR) in Northern China (NC) by employing net primary productivity (NPP) as a proxy. The results reveal that 72.74% of the DPR experienced desertification mitigation and 27.26% experienced exacerbation. Climate drivers acted as primary drivers, contributing to both the mitigation (47.2%) and exacerbation (48.5%) of desertification, while human activity also played a crucial role, with contributions of 39.6% to mitigation and 41.0% to exacerbation of desertification. Furthermore, a shift in desertification dynamics emerged around 2000, with climate drivers promoting the mitigation process (66.8%), and precipitation was a dominant climatic factor for the mitigation of desertification after 2000, which was related to internal atmospheric variability. This study highlights changes in the contributions of different factors to desertification, underscoring the need for policy adjustment to attain sustainable land management in NC. Full article
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<p>Location and subregions of the desertification-prone region (DPR) in NC.</p>
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<p>Spatial distributions of the annual mean (<b>A</b>) NPP from the GLASS, (<b>B</b>) ANPP, (<b>C</b>) PNPP, and (<b>D</b>) HNPP. All values are averages during the period from 1984 to 2014.</p>
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<p>Spatial distributions of the linear trends for (<b>A</b>) NPP from the GLASS, (<b>B</b>) ANPP, (<b>C</b>) PNPP, and (<b>D</b>) HNPP during the period from 1984 to 2014. The black dots represent grid values that are significant at the 95% confidence level.</p>
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<p>Different factors (human activity, climate drivers, and both) affected the (<b>A</b>) mitigation and (<b>B</b>) exacerbation of desertification during the period from 1984 to 2014. The inset figures in (<b>A</b>,<b>B</b>) represent the total areas of desertification mitigation and exacerbation, respectively, and the pie charts represent the contributions of each factor.</p>
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<p>First leading mode of EOF (EOF1) for NPP in NC. (<b>A</b>) Spatial pattern of loading vectors. (<b>B</b>) Principal component (PC1) of EOF1.</p>
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<p>The spatial pattern of the linear trends (slopes) for (<b>A</b>) NPP, (<b>B</b>) ANPP, (<b>C</b>) PNPP, and (<b>D</b>) HNPP during the periods of (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>) 1984-2000 and (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>) 2001–2014. The numbers indicate the trends of the corresponding regional averages, with red representing a positive trend and blue representing a negative trend. ***, **, and * indicate 99%, 95%, and 90% confidence levels, respectively. The black dots represent grid values that are significant at the 95% confidence level.</p>
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<p>Different factors (human activity, climate drivers, and both) affected the mitigation and exacerbation of desertification (<b>top</b>,<b>middle top</b>) from 1984 to 2000 and (<b>middle bottom</b>,<b>bottom</b>) from 2001 to 2014. The inset figures represent the total areas of desertification mitigation and exacerbation, and the pie charts represent the contributions of each factor.</p>
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<p>Attributions of desertification in the DPR to climate factors from 1984 to 2014. (<b>A</b>) The contribution of precipitation (<span class="html-italic">P</span>) to PNPP change, (<b>B</b>) the sensitivity of PNPP to <span class="html-italic">P</span>, and (<b>C</b>) mean changes (Δ) in <span class="html-italic">P</span> (1984–2014). (<b>D</b>–<b>F</b>) and (<b>G</b>–<b>I</b>) are the same as (<b>A</b>–<b>C</b>) but for evapotranspiration (<span class="html-italic">E</span>) and temperature (<span class="html-italic">T</span>).</p>
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<p>Spatial distributions of specific humidity (<b>A</b>,<b>B</b>), water vapor flux divergence (shading) and horizontal wind (vectors) (<b>C</b>,<b>D</b>), and their regressions against the precipitation series at 850 hPa (left line) and 500 hPa (right line). The black slashes and blue vectors represent grid values that are significant at the 90% confidence level. The dashed boxes are the different areas in the DPR.</p>
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<p>Serial histograms of (<b>A</b>) annual mean PDO and (<b>B</b>) AMO.</p>
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<p>The population and cropland changes in the DPR. (<b>A</b>) The entire DPR; (<b>B</b>) Juggar; (<b>C</b>) Tarim; (<b>D</b>) Qinghai; (<b>E</b>) Ala Shan, Hexi Corridor, and Ordos; and (<b>F</b>) Hulunbuir, Otindag, and Horqin. The blue line represents the population and the red line represents the percentage of the cropland area.</p>
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14 pages, 3061 KiB  
Article
Development and Field Test of Integrated Electronics Piezoelectric Accelerometer Based on Lead-Free Piezoelectric Ceramic for Centrifugal Pump Monitoring
by Byung-Hoon Kim, Dae-Sic Jang, Jeong-Han Lee, Min-Ku Lee and Gyoung-Ja Lee
Sensors 2024, 24(19), 6436; https://doi.org/10.3390/s24196436 - 4 Oct 2024
Viewed by 289
Abstract
In this study, an Integrated Electronics Piezoelectric (IEPE)-type accelerometer based on an environmentally friendly lead-free piezoceramic was fabricated, and its field applicability was verified using a cooling pump owned by the Korea Atomic Energy Research Institute (KAERI). As an environmentally friendly piezoelectric material, [...] Read more.
In this study, an Integrated Electronics Piezoelectric (IEPE)-type accelerometer based on an environmentally friendly lead-free piezoceramic was fabricated, and its field applicability was verified using a cooling pump owned by the Korea Atomic Energy Research Institute (KAERI). As an environmentally friendly piezoelectric material, 0.96(K,Na)NbO3−0.03(Bi,Na,K,Li)ZrO3− 0.01BiScO3 (0.96KNN−0.03BNKLZ−0.01BS) piezoceramic with an optimized piezoelectric charge constant (d33) was introduced. It was manufactured in a ring shape using a solid-state reaction method for application to a compression mode accelerometer. The fabricated ceramic ring has a high piezoelectric constant d33 of ~373 pC/N and a Curie temperature TC of ~330 °C. It was found that the electrical and physical characteristics of the 0.96KNN−0.03BNKLZ−0.01BS piezoceramic were comparable to those of a Pb(Zr,Ti)O3 (PZT) ring ceramic. As a result of a vibration test of the IEPE accelerometer fabricated using the lead-free piezoelectric ceramic, the resonant frequency fr = 20.0 kHz and voltage sensitivity Sv = 101.1 mV/g were confirmed. The fabricated IEPE accelerometer sensor showed an excellent performance equivalent to or superior to that of a commercial IEPE accelerometer sensor based on PZT for general industrial use. A field test was carried out to verify the applicability of the fabricated sensor in an actual industrial environment. The test was conducted by simultaneously installing the developed sensor and a commercial PZT-based sensor in the ball bearing housing location of a centrifugal pump. The centrifugal pump was operated at 1180 RPM, and the generated vibration signals were collected and analyzed. The test results confirmed that the developed eco-friendly lead-free sensor has comparable vibration measurement capability to that of commercial PZT−based sensors. Full article
16 pages, 6896 KiB  
Article
Numerical Simulation Study on Optimal CO2 Injection Well Placement for Sequestration in Old Gob: A Case Study of the Huainan Mining Area
by Yongchun Chen, Yanfei Xu, Yuchen Tian, Helong Zhang, Bo Xue, Shiheng Chen, Yinghai Liu, Yanzhi Liu, Shiqi Liu, Shuxun Sang and Sijian Zheng
Processes 2024, 12(10), 2167; https://doi.org/10.3390/pr12102167 - 4 Oct 2024
Viewed by 304
Abstract
The old gob, as a potential CO2 geological storage reservoir, has huge storage potential. To clarify the distribution characteristics and storage capacity of CO2 in the old gob after different well deployment schemes, this study, based on the actual geological conditions [...] Read more.
The old gob, as a potential CO2 geological storage reservoir, has huge storage potential. To clarify the distribution characteristics and storage capacity of CO2 in the old gob after different well deployment schemes, this study, based on the actual geological conditions of the old gob in the Huainan mining area, uses the COMSOL software to numerically simulate CO2 injection into the old gob, considering the heterogeneity of permeability and the difference in coal-rock adsorption capacity within the old gob. The research indicates that the distribution characteristics of CO2 are significantly influenced by the deployment scheme. Specifically, different deployment schemes result in varying CO2 concentrations and distribution patterns. Particularly, when the injection well is deployed at a depth of 65 m, the distribution of CO2 in the low-permeability upper part of the old gob will significantly increase and the horizontal distribution range will significantly decrease. Under different well deployment modes, the CO2 storage capacity varies significantly. When the injection well is deployed at a depth of 65 m, it is more conducive to the storage of CO2 than at other deeper depths and the total storage capacity is larger. In addition, increasing the number of monitoring wells helps the migration and diffusion of CO2 in the old gob. Reasonably increasing the number of monitoring wells and adopting a symmetric deployment mode can significantly improve the CO2 storage capacity in the old gob. Through a reasonable deployment scheme, the CO2 storage capacity in the old gob can be more than 1.8 times that of the single monitoring well deployment scheme. Overall, based on the analysis of the distribution characteristics and storage capacity, the vertical positioning of the injection wells and the deployment mode of the monitoring wells that are conducive to improving the CO2 storage capacity in the old gob are obtained, which can provide an important reference for the well deployment scheme of CO2 storage in the old gob. Full article
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<p>Distribution of mining rights in the Huainan mining area ((a) location of the study area).</p>
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<p>Schematic diagram of the distribution of abandoned mining goafs in the Huainan mining area.</p>
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<p>The geometric model of the abandoned mining area and the cross-section and planar grid division ((<b>a</b>) shows the overall dimensions of the model, while (<b>b</b>) presents the longitudinal section of the model).</p>
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<p>Three-dimensional porosity distribution in the old mined-out area under “O” shape distribution. (<b>a</b>) Three-dimensional porosity distribution cloud map; (<b>b</b>) cloud map of porosity distribution in different sections along the direction.</p>
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<p>Cloud map of porosity distribution at the bottom of the old mined-out area.</p>
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<p>Contour map of CO<sub>2</sub> distribution at 222 days for the injection well at 65 m.</p>
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<p>Cloud diagram at 80 m depth and 200 days for the injection well.</p>
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<p>Cloud diagram at 96 m depth and 192 days for the injection well.</p>
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<p>Variation in CO<sub>2</sub> concentration in monitoring well at different injection depths.</p>
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<p>Schematic diagram of monitoring well deployment.</p>
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<p>Variations in CO<sub>2</sub> concentration with different numbers of monitoring wells.</p>
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15 pages, 3570 KiB  
Article
Dynamics of the Interaction between Freeze–Thaw Process and Surface Energy Budget on the Permafrost Region of the Qinghai-Tibet Plateau
by Junjie Ma, Ren Li, Tonghua Wu, Hongchao Liu, Xiaodong Wu, Guojie Hu, Wenhao Liu, Shenning Wang, Yao Xiao, Shengfeng Tang, Jianzong Shi and Yongping Qiao
Land 2024, 13(10), 1609; https://doi.org/10.3390/land13101609 - 3 Oct 2024
Viewed by 297
Abstract
Exploring the complex relationship between the freeze–thaw cycle and the surface energy budget (SEB) is crucial for deepening our comprehension of climate change. Drawing upon extensive field monitoring data of the Qinghai-Tibet Plateau, this study examines how surface energy accumulation influences the thawing [...] Read more.
Exploring the complex relationship between the freeze–thaw cycle and the surface energy budget (SEB) is crucial for deepening our comprehension of climate change. Drawing upon extensive field monitoring data of the Qinghai-Tibet Plateau, this study examines how surface energy accumulation influences the thawing depth. Combined with Community Land Model 5.0 (CLM5.0), a sensitivity test was designed to explore the interplay between the freeze–thaw cycle and the SEB. It is found that the freeze–thaw cycle process significantly alters the distribution of surface energy fluxes, intensifying energy exchange between the surface and atmosphere during phase transitions. In particular, an increase of 65.6% is observed in the ground heat flux during the freezing phase, which subsequently influences the sensible and latent heat fluxes. However, it should be noted that CLM5.0 has limitations in capturing the minor changes in soil moisture content and thermal conductivity during localized freezing events, resulting in an imprecise representation of the complex freeze–thaw dynamics in cold regions. Nevertheless, these results offer valuable insights and suggestions for improving the parameterization schemes of land surface models, enhancing the accuracy and applicability of remote sensing applications and climate research. Full article
(This article belongs to the Special Issue Impact of Climate Change on Land and Water Systems)
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<p>General view of the QTP and locations of the sites studied: (XDT, BLH, TGL, LDH, and TSH site), the background color is altitude (km).</p>
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<p>The simulation results for the soil liquid moisture under two groups of tests (blue line: with freeze–thaw process experiment; orange line: without freeze–thaw process experiment) at three sites (left column: TGL station; middle column: BLH station; right column: XDT station) for different soil depths (first row: 5 cm; second row: 10 cm; third row: 20 cm; fourth row: 40 cm), (<b>a</b>) TGL, 5 cm; (<b>b</b>) BLH, 5 cm; (<b>c</b>) XDT, 5 cm; (<b>d</b>) TGL, 10 cm; (<b>e</b>) BLH, 10 cm; (<b>f</b>) XDT, 10 cm; (<b>g</b>) TGL, 20 cm; (<b>h</b>) BLH, 20 cm; (<b>i</b>) XDT, 20 cm; (<b>j</b>) TGL, 40 cm; (<b>k</b>) BLH, 40 cm; and (<b>l</b>) XDT, 40 cm.</p>
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<p>The simulation results for the soil temperature under two groups of experiments (blue line: with freeze–thaw process experiment; orange line: without freeze–thaw process experiment) at three sites (left column: TGL site; middle column: BLH site; right column: XDT site) for different soil depths (first row: 10 cm; second row: 50 cm; third row: 80 cm; fourth row: 210 cm), (<b>a</b>) TGL, 10 cm; (<b>b</b>) BLH, 10 cm; (<b>c</b>) XDT, 10 cm; (<b>d</b>) TGL, 50 cm; (<b>e</b>) BLH, 50 cm; (<b>f</b>) XDT, 50 cm; (<b>g</b>) TGL, 80 cm; (<b>h</b>) BLH, 80 cm; (<b>i</b>) XDT, 80 cm; (<b>j</b>) TGL, 210 cm; (<b>k</b>) BLH, 210 cm; and (<b>l</b>) XDT, 210 cm.</p>
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<p>Time series of SEB (Unit: Wm<sup>−2</sup>) (<b>a</b>) latent and (<b>c</b>) sensible heat flux, (<b>b</b>) ground heat flux, and (<b>d</b>) net radiation flux in CTL (red line) and TEST (green line) experiments at TGL site.</p>
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<p>The same as <a href="#land-13-01609-f004" class="html-fig">Figure 4</a>, but for BLH site.</p>
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<p>The same as <a href="#land-13-01609-f004" class="html-fig">Figure 4</a>, but for XDT site.</p>
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<p>Net radiation flux accumulation effects on AL thawing depth at (<b>a</b>) TGL, (<b>b</b>) LDH, (<b>c</b>) TSH, and (<b>d</b>) XDT site.</p>
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<p>Schematic diagram of the interaction between the AL freeze–thaw process and SEB.</p>
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18 pages, 4448 KiB  
Article
Eco-Friendly and Biocompatible Material to Reduce Noise Pollution and Improve Acoustic Comfort in Healthcare Environments
by David del Rosario-Gilabert, Jesús Carbajo, Miguel Hernández-Pozo, Antonio Valenzuela-Miralles, Daniel Ruiz, Pedro Poveda-Martínez, Gema Esquiva and Violeta Gómez-Vicente
Buildings 2024, 14(10), 3151; https://doi.org/10.3390/buildings14103151 - 2 Oct 2024
Viewed by 431
Abstract
Noise pollution negatively impacts people’s mental and physiological health. Unfortunately, not only is noise present in hospital environments, but its level frequently exceeds recommended thresholds. The efficacy of passive acoustic absorbers in reducing indoor noise in these scenarios has been well-documented. Conversely, given [...] Read more.
Noise pollution negatively impacts people’s mental and physiological health. Unfortunately, not only is noise present in hospital environments, but its level frequently exceeds recommended thresholds. The efficacy of passive acoustic absorbers in reducing indoor noise in these scenarios has been well-documented. Conversely, given their inorganic composition and their origin in the petrochemical industry, most of these materials present a risk to human health. Over the last few years, there has been a notable increase in research on eco-friendly, low-toxicity, and biocompatible materials. This work outlines a methodology for fabricating recycled acoustic panels from plastic bottles and PET felt composites. This study encompasses three key objectives: (i) a comprehensive biocompatibility assessment of the panels, (ii) an evaluation of their thermal and acoustic properties, and (iii) their applicability in several case studies to evaluate potential acoustic enhancements. Specifically, antifungal resistance tests, Volatile Organic Compound (VOC) emission assessment, and cell viability experiments were conducted successfully. Additionally, experimental procedures were performed to determine the thermal conductivity and thermal resistance of the proposed material, along with its sound absorption coefficients in diffuse field conditions. Finally, the potential benefits of using this biomaterial in healthcare environments to reduce noise and improve acoustic comfort were demonstrated. Full article
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<p>Eco-friendly acoustic panel: (<b>a</b>) rectangular sample of the fabricated material; (<b>b</b>) image taken with SEM for inspection of the fibrous microstructure; and (<b>c</b>) picture of the rectangular-shaped box designed for the cell viability assay.</p>
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<p>Sound absorption tests of the material under study: (<b>a</b>) schematic representation of the setup used for measurements with the plenum following ISO 10534-2; and (<b>b</b>) detailed view of the samples arranged for the tests in the reverberant chamber.</p>
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<p>Results of the biocompatibility tests: (<b>a</b>) sample of material with no specimens identified after antifungal resistance test; (<b>b</b>) chromatography of the VOC emission test after 3 days (red line) and after 28 days (blue line); and (<b>c</b>) optical microscopy images (10×) of the 661W cell line seeded at a density of 100,000 cells per flask of the 661W line in (Top) control and (Bottom) sample conditions.</p>
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<p>Sound absorption coefficient data obtained following the standardized procedure ISO 354 (reverberant chamber) for different thicknesses: (<b>a</b>) 9 mm, (<b>b</b>) 12 mm, and (<b>c</b>) 24 mm. Note that the tests were performed under two different conditions: without a plenum (red line) and with a 200 mm plenum (blue line). The weighted sound absorption coefficients (UNE-EN ISO 11654:1998) were 0.25 (0.8), 0.3 (0.9), and 0.5 (0.95), respectively; the values in parentheses correspond to the plenum arrangement.</p>
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<p>Case Study I, office building: (<b>a</b>) plan view; (<b>b</b>) rendered view; (<b>c,d</b>) pictures of the in situ RT measurements according to the ISO 3382 and ASTM E2235 standards; (<b>e</b>) plan view indicating source (pink circles) and microphone (green circles) positions.</p>
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<p>Case Study I, office building: (<b>a</b>) plan view; (<b>b</b>) rendered view; (<b>c,d</b>) pictures of the in situ RT measurements according to the ISO 3382 and ASTM E2235 standards; (<b>e</b>) plan view indicating source (pink circles) and microphone (green circles) positions.</p>
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<p>Noise pollution reduction and improvement of acoustic comfort in Case Study I: (<b>a</b>) comparison of the experimental (discontinuous black line) and predicted RT for the configurations without acoustic treatment (continuous red line) and with acoustic treatment (continuous blue line); (<b>b</b>) C50; (<b>c</b>) STI; and (<b>d</b>) %Alcons distribution over the useful space (areas most frequented by the alleged patients and healthcare workers).</p>
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<p>Case Study II, childcare room: (<b>a</b>) plan view; (<b>b</b>) rendered view; (<b>c</b>) aspect of the playroom of the Pediatric Oncology Department of the Hospital Universitario la Paz (Madrid, Spain) after reducing noise pollution and improving acoustic comfort.</p>
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<p>Noise pollution reduction and improvement of acoustic comfort in Case Study II: (<b>a</b>) Comparison of the predicted RT for the configurations without acoustic treatment (continuous magenta line) and with acoustic treatment (continuous cyan line); (<b>b</b>) C50; (<b>c</b>) STI; and (<b>d</b>) %Alcons distribution over the useful space.</p>
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20 pages, 1567 KiB  
Article
Nitrogen Transport Pathways and Source Contributions in a Typical Agricultural Watershed Using Stable Isotopes and Hydrochemistry
by Zhi Tang, Yangfu Xiong, Yang Liu, Jinhao Yu, Yuanbing Zou, Jiandong Zhu, Shengbo Fu, Fei Yang, Mingzhe Zhao, Jie Pan and Sen Yang
Water 2024, 16(19), 2803; https://doi.org/10.3390/w16192803 - 1 Oct 2024
Viewed by 464
Abstract
The increasing global nitrogen input poses a significant threat to aquatic environments, particularly in agricultural watersheds, where intensive human activities and insufficient water protection infrastructure exacerbate the risk of nitrogen pollution. Accurate identification of nitrogen pollution sources and the associated transformation processes is [...] Read more.
The increasing global nitrogen input poses a significant threat to aquatic environments, particularly in agricultural watersheds, where intensive human activities and insufficient water protection infrastructure exacerbate the risk of nitrogen pollution. Accurate identification of nitrogen pollution sources and the associated transformation processes is essential for protecting watershed ecosystems. In this study, a combination of hydrochemical analysis, correlation and principal component analysis, and stable nitrate isotopes (δ15N-NO3 and δ18O-NO3) were employed to trace nitrogen transport pathways and source contributions in both surface water and groundwater within a typical agricultural watershed. The results revealed the presence of nitrogen pollution, including total nitrogen (TN), ammonia nitrogen (NH3-N), and nitrate nitrogen (NO3-N), with significant spatial and seasonal variations in both surface water and groundwater. The spatiotemporal evolution of hydrochemical indicators and nitrate isotope compositions highlighted multiple potential sources of nitrogen, including soil input, agricultural input, and manure and sewage input. The results from stable isotope analysis in an R (SIAR) model indicated that ammonium fertilizers (7.1%~78.4%) and manure and sewage (2.6%~69.7%) were the primary sources of nitrates in surface water, while manure and sewage were the main sources in groundwater (67.9%~73.7%). This research demonstrated that nitrification, seasonal variations, and human activities significantly impact nitrogen migration and transformation in agricultural watersheds. However, the issue of groundwater severely polluted by manure and sewage has received insufficient attention. To effectively control nitrogen pollution in agricultural watersheds, it is necessary to improve septic tanks and sewage networks, as well as implement scientific fertilization practices. Full article
(This article belongs to the Section Water Quality and Contamination)
18 pages, 5626 KiB  
Article
An Eco-Driving Strategy at Multiple Fixed-Time Signalized Intersections Considering Traffic Flow Effects
by Huinian Wang, Junbin Guo, Jingyao Wang and Jinghua Guo
Sensors 2024, 24(19), 6356; https://doi.org/10.3390/s24196356 - 30 Sep 2024
Viewed by 383
Abstract
To encourage energy saving and emission reduction and improve traffic efficiency in the multiple signalized intersections area, an eco-driving strategy for connected and automated vehicles (CAVs) considering the effects of traffic flow is proposed for the mixed traffic environment. Firstly, the formation and [...] Read more.
To encourage energy saving and emission reduction and improve traffic efficiency in the multiple signalized intersections area, an eco-driving strategy for connected and automated vehicles (CAVs) considering the effects of traffic flow is proposed for the mixed traffic environment. Firstly, the formation and dissipation process of signalized intersection queues are analyzed based on traffic wave theory, and a traffic flow situation estimation model is constructed, which can estimate intersection queue length and rear obstructed fleet length. Secondly, a feasible speed set calculation method for multiple signalized intersections is proposed to enable vehicles to pass through intersections without stopping and obstructing the following vehicles, adopting a trigonometric profile to generate smooth speed trajectory to ensure good riding comfort, and the speed trajectory is optimized with comprehensive consideration of fuel consumption, emissions, and traffic efficiency costs. Finally, the effectiveness of the strategy is verified. The results show that traffic performance and fuel consumption benefits increase as the penetration rate of CAVs increases. When all vehicles on the road are CAVs, the proposed strategy can increase the average speed by 9.5%, reduce the number of stops by 78.2%, reduce the stopped delay by 82.0%, and reduce the fuel consumption, NOx, and HC emissions by 20.4%, 39.4%, and 46.6%, respectively. Full article
(This article belongs to the Section Vehicular Sensing)
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<p>Basic relationship between traffic wave flow and concentration.</p>
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<p>Schematic diagram of queuing at signalized intersections.</p>
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<p>Schematic diagram of vehicles obstruction.</p>
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<p>Eco-driving control system architecture.</p>
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<p>Schematic diagram of eco-driving vehicle trajectory.</p>
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<p>The speed trajectory of the trigonometric function curve. (<b>a</b>) Acceleration process; (<b>b</b>) Deceleration process.</p>
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<p>Schematic diagram of the connected eco-driving vehicle through the intersection.</p>
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<p>Stochastic crossover schematic.</p>
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<p>Best fitness value and mean fitness value of each generation.</p>
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<p>Flowchart of the proposed strategy.</p>
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<p>MATLAB and VISSIM joint simulation platform architecture.</p>
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<p>Simulation parameters diagram.</p>
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<p>Fuel consumption rate and emission rate of CAV flow versus HDV flow at medium traffic volume. (<b>a</b>) Fuel consumption rate; (<b>b</b>) NO<sub>x</sub> emission rate; (<b>c</b>) HC emission rate.</p>
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<p>Comparison of traffic performance, fuel consumption, and emissions between CAV flow and manual driving traffic flow under different traffic volumes. (<b>a</b>) Average speed; (<b>b</b>) Number of stops; (<b>c</b>) Stopped delay; (<b>d</b>) Fuel consumption; (<b>e</b>) NO<sub>x</sub> emission; (<b>f</b>) HC emission.</p>
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<p>Benefits for different penetration rates. (<b>a</b>) Average speed improvement; (<b>b</b>) Number of stops benefits; (<b>c</b>) Stopped delay benefits; (<b>d</b>) Fuel consumption benefits; (<b>e</b>) NO<sub>x</sub> emission benefits; (<b>f</b>) HC emission benefits.</p>
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13 pages, 5889 KiB  
Article
Lure Monitoring for Mediterranean Fruit Fly Traps Using Air Quality Sensors
by Miguel Hernández Rosas, Guillermo Espinosa Flores-Verdad, Hayde Peregrina Barreto, Pablo Liedo and Leopoldo Altamirano Robles
Sensors 2024, 24(19), 6348; https://doi.org/10.3390/s24196348 - 30 Sep 2024
Viewed by 317
Abstract
Effective pest population monitoring is crucial in precision agriculture, which integrates various technologies and data analysis techniques for enhanced decision-making. This study introduces a novel approach for monitoring lures in traps targeting the Mediterranean fruit fly, utilizing air quality sensors to detect total [...] Read more.
Effective pest population monitoring is crucial in precision agriculture, which integrates various technologies and data analysis techniques for enhanced decision-making. This study introduces a novel approach for monitoring lures in traps targeting the Mediterranean fruit fly, utilizing air quality sensors to detect total volatile organic compounds (TVOC) and equivalent carbon dioxide (eCO2). Our results indicate that air quality sensors, specifically the SGP30 and ENS160 models, can reliably detect the presence of lures, reducing the need for frequent physical trap inspections and associated maintenance costs. The ENS160 sensor demonstrated superior performance, with stable detection capabilities at a predefined distance from the lure, suggesting its potential for integration into smart trap designs. This is the first study to apply TVOC and eCO2 sensors in this context, paving the way for more efficient and cost-effective pest monitoring solutions in smart agriculture environments. Full article
(This article belongs to the Special Issue AI, IoT and Smart Sensors for Precision Agriculture)
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<p>(<b>a</b>) Traditional Delta (Jackson) trap used to capture Mediterranean fruit fly, (<b>b</b>) the CAD design with <span class="html-italic">Autodesk Fusion 360</span>© featuring integrated air quality sensors and slots (numbered 1 to 4 along the <span class="html-italic">x</span> axis) for different lure placements, and (<b>c</b>) the trap with axes definition.</p>
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<p>Resulting measures for the SGP30 (<b>a</b>,<b>b</b>) and the ENS160 (<b>c</b>,<b>d</b>) sensors in an experiment of 30 min: before setting the lure (min 1–10), with the lure set (min 11–20), and after removing the lure (min 21–30). The recorded data correspond to eCO<sub>2</sub> (<b>a</b>,<b>c</b>) and TVOC (<b>b</b>,<b>d</b>) with a distance of 3 cm between the sensor and the lure.</p>
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<p>Results for ENS160 sensor when measuring eCO<sub>2</sub> and TVOC at (<b>a</b>,<b>b</b>) 2 cm and (<b>c</b>,<b>d</b>) 1 cm of the distance between the sensor and the lure. Time intervals were distributed as in <a href="#sensors-24-06348-f002" class="html-fig">Figure 2</a>.</p>
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27 pages, 1249 KiB  
Review
Resistance Mechanisms of Plant Pathogenic Fungi to Fungicide, Environmental Impacts of Fungicides, and Sustainable Solutions
by Tarequl Islam, Danishuddin, Noshin Tabassum Tamanna, Muhammad Nurul Matin, Hasi Rani Barai and Md Azizul Haque
Plants 2024, 13(19), 2737; https://doi.org/10.3390/plants13192737 - 30 Sep 2024
Viewed by 777
Abstract
The significant reduction in agricultural output and the decline in product quality are two of the most glaring negative impacts caused by plant pathogenic fungi (PPF). Furthermore, contaminated food or transit might introduce mycotoxins produced by PPF directly into the food chain. Eating [...] Read more.
The significant reduction in agricultural output and the decline in product quality are two of the most glaring negative impacts caused by plant pathogenic fungi (PPF). Furthermore, contaminated food or transit might introduce mycotoxins produced by PPF directly into the food chain. Eating food tainted with mycotoxin is extremely dangerous for both human and animal health. Using fungicides is the first choice to control PPF or their toxins in food. Fungicide resistance and its effects on the environment and public health are becoming more and more of a concern, despite the fact that chemical fungicides are used to limit PPF toxicity and control growth in crops. Fungicides induce target site alteration and efflux pump activation, and mutations in PPF result in resistance. As a result, global trends are shifting away from chemically manufactured pesticides and toward managing fungal plant diseases using various biocontrol techniques, tactics, and approaches. However, surveillance programs to monitor fungicide resistance and their environmental impact are much fewer compared to bacterial antibiotic resistance surveillance programs. In this review, we discuss the PPF that contributes to disease development in plants, the fungicides used against them, factors causing the spread of PPF and the emergence of new strains, the antifungal resistance mechanisms of PPF, health, the environmental impacts of fungicides, and the use of biocontrol agents (BCAs), antimicrobial peptides (AMPs), and nanotechnologies to control PPF as a safe and eco-friendly alternative to fungicides. Full article
(This article belongs to the Special Issue Novel Methods for Detection and Control Strategies of Phytopathogens)
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<p>Antifungal resistance development and dispersal of resistant isolates. This figure was created using BioRender software v. 04.</p>
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<p>Mode of action of different biopesticides. AMPs, antimicrobial peptides; NPs, nanoparticles; PPF, plant pathogenic fungus; GM, genetically modified. This figure was created using BioRender software.</p>
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19 pages, 7781 KiB  
Article
Hydrological Evaluation of CRA40 and ERA5 Reanalysis Precipitation Products over Ganjiang River Basin in Humid Southeastern China
by Zhi Li, Zelan Zhou, Sheng Chen, Yanping Li and Chunxia Wei
Water 2024, 16(19), 2774; https://doi.org/10.3390/w16192774 - 29 Sep 2024
Viewed by 415
Abstract
This study evaluates two reanalysis precipitation products (CRA40 and ERA5) over the Ganjiang River Basin with precipitation data from 37 ground rainfall gauges and surface-observed stream flow data from January 1998 to December 2008. Direct comparison with rain gauge observations shows that both [...] Read more.
This study evaluates two reanalysis precipitation products (CRA40 and ERA5) over the Ganjiang River Basin with precipitation data from 37 ground rainfall gauges and surface-observed stream flow data from January 1998 to December 2008. Direct comparison with rain gauge observations shows that both CRA40 and ERA5 can capture the spatial and temporal characteristics of precipitation at the basin scale of the Ganjiang River and reflect most of the precipitation events, but there are pronounced differences in the quality of precipitation between them. ERA5 performs better on the daily scale, capturing precipitation changes more accurately over short periods of time, while CRA40 performs better on the monthly scale, providing more stable and long-term precipitation trends. The results of stream flow simulations using two reanalysis precipitation products driving the VIC hydrological model show that (1) CRA40 outperforms ERA5 with a better Nash–Sutcliffe Efficiency (NSE, 0.65 and 0.6) and higher CC (0.96 and 0.91) in daily and monthly scale stream flow simulations, and ERA5 has a good CC (0.86 and 0.93, respectively), but its NSE is poor (0.29 and 0.30, respectively); (2) both CRA40 and ERA5 generally overestimate basin stream flows, especially during the flood season (April–September), with ERA5’s overestimation being more pronounced. This study is expected to provide a basis for the selection of reliable reanalysis products for Ganjiang River Basin precipitation and hydrological simulation. Full article
(This article belongs to the Section Hydrology)
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<p>Study region and gauge distribution.</p>
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<p>Spatial distribution map of 11-year daily average precipitation (mm/day) in the Ganjiang River Basin using (<b>a</b>) GGIDW, (<b>b</b>) CRA40, and (<b>c</b>) ERA5, and spatial distribution of (<b>d</b>) the CRA40-GGIDW difference and (<b>e</b>) the ERA5-GGIDW difference.</p>
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<p>Grid-based scatter distribution of daily precipitation: (<b>a</b>) CRA40; (<b>b</b>) ERA5.</p>
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<p>Grid-based scatter density distribution of monthly precipitation: (<b>a</b>) CRA40; (<b>b</b>) ERA5.</p>
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<p>Probability distribution of precipitation (<b>a</b>) occurrence and (<b>b</b>) volume.</p>
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<p>Contingency metrics of (<b>a</b>) POD, (<b>b</b>) FAR, and (<b>c</b>) CSI for reanalysis precipitation products in Ganjiang River Basin.</p>
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<p>Time series of daily mean precipitation based on grid-based observations from gauge and (<b>a</b>) CRA40 and (<b>b</b>) ERA5 products. The smooth function was applied to enhance the differences among different reanalysis precipitation products.</p>
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<p>Time series of daily mean precipitation of observational interpolation data and reanalysis products (<b>a</b>) CRA40 and (<b>b</b>) ERA5 within the basin. The smooth function was applied to enhance the differences among different reanalysis precipitation products.</p>
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<p>Calibration of the VIC model during the period from January 1998 to December 2002. Rainfall inputs (gray bars) from gauge observations are plotted on the secondary coordinate.</p>
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<p>Daily simulations of river discharge with rainfall inputs from (<b>a</b>) gauge; (<b>b</b>) CRA40, and ERA5. Rainfall inputs (blue bars) are depicted on the secondary vertical axis in (<b>a</b>).</p>
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<p>Utilized (<b>a</b>) NSE, (<b>b</b>) RB (%), (<b>c</b>) RMSE (m<sup>3</sup>/s), (<b>d</b>) POD, (<b>e</b>) FAR, and (<b>f</b>) CSI as bivariate analyses of daily discharge against flow percentage. The x-axis percentages denote flow levels from low to high, where 100% represents all flows and 5% represents only the highest 5% of flows. Corresponding flow values are 0, 323, 393, 522, 1230, 2300, 3830, and 5060 (m<sup>3</sup>/s).</p>
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<p>Monthly observed stream flow and simulated flows with rainfall input from (<b>a</b>) gauge and (<b>b</b>) ERA5 and CRA40. Rainfall input (blue bars) is plotted on the secondary y-axis in (<b>a</b>).</p>
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<p>Input of (<b>a</b>) monthly CC, (<b>b</b>) monthly RB (%) and (<b>c</b>) monthly RMSE (mm/day) for precipitation. And (<b>d</b>) monthly CC, (<b>e</b>) monthly RB (%) and (<b>f</b>) monthly RMSE (m<sup>3</sup>/s) for the output stream flows. Subscripts denote January (J), February (F), March (M), April (A), May (M), June (J), July (J), August (A), September (S), October (O), November (N), and December (D).</p>
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23 pages, 6749 KiB  
Article
A Study of the Influence of Thermoactivated Natural Zeolite on the Hydration of White Cement Mortars
by Ventseslav Stoyanov, Vilma Petkova, Katerina Mihaylova and Maya Shopska
Materials 2024, 17(19), 4798; https://doi.org/10.3390/ma17194798 - 29 Sep 2024
Viewed by 348
Abstract
One trend in the development of building materials is the partial or complete replacement of traditional materials that have a high carbon footprint with eco-friendly ecological raw materials and ingredients. In the present work, the influence of replacing cement with 10 wt% thermally [...] Read more.
One trend in the development of building materials is the partial or complete replacement of traditional materials that have a high carbon footprint with eco-friendly ecological raw materials and ingredients. In the present work, the influence of replacing cement with 10 wt% thermally activated natural zeolite on the structural and physical-mechanical characteristics of cured mortars based on white Portland cement and river sand was investigated. The phase compositions were determined by wavelength dispersive X-ray fluorescence (WD-XRF) analysis, X-ray powder diffraction (PXRD), diffuse reflectance infrared Fourier transformed spectroscopy (DRIFTS), and scanning electron microscopy (SEM), as well as thermogravimetric analysis simultaneously with differential scanning calorimetry (TG/DTG-DSC). The results show that the incorporation of zeolite increases the amount of pores accessible with mercury intrusion porosimetry by about 40%, but the measured strengths are also higher by over 13%. When these samples were aged in an aqueous environment from day 28 to day 120, the amount of pores decreased by about 10% and the compressive strength increased by nearly 15%, respectively. The microstructural analysis carried out proves that these results are due to hydration with a low content of crystal water and the realization of pozzolanic reactions that last over time. Replacing some of the white cement with thermally activated natural zeolite results in the formation of a greater variety of crystals, including new crystalline CSH and CSAH phases that allow better intergrowth and interlocking. The results of the investigations allow us to present a plausible reaction mechanism of pozzolanic reactions and of the formation of new crystal hydrate phases. This gives grounds to claim that the replacement of part of the cement with zeolite improves the corrosion resistance of the investigated building solutions against aggressive weathering. Full article
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<p>(<b>a</b>). Data presenting the compressive strength for samples Ms and Mz. (<b>b</b>). Data presenting the pore volume for samples Ms and Mz.</p>
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<p>Macro- and micrographs of the surface structures of sample Ms at 28 days of water curing.</p>
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<p>Macro- and micrographs of the surface structures of sample Ms at 120 days of water curing.</p>
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<p>Macro- and micrographs of the surface structures of sample Mz at 28 days of water curing.</p>
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<p>Macro- and micrographs of the surface structures of sample Mz at 120 days of water curing.</p>
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<p>(<b>a</b>). PXRD pattern of sample Ms, water-cured for 28 days. (<b>b</b>). PXRD pattern of sample Ms, water-cured for 120 days. (<b>c</b>). PXRD pattern of sample Mz, water-cured for 28 days. (<b>d</b>). PXRD pattern of sample Mz, water-cured for 120 days.</p>
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<p>DRIFTS spectra of samples Ms28, Ms120, Mz28, and Mz120.</p>
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<p>(<b>a</b>). TG/DTG-DSC curves of sample Ms28. (<b>b</b>). TG/DTG-DSC curves of sample Ms120. (<b>c</b>). TG/DTG-DSC curves of sample Mz28. (<b>d</b>). TG/DTG-DSC curves of sample Mz120.</p>
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<p>(<b>a</b>). Mass loss dynamics during dehydration of crystallization water in the RT–200 °C temperature range. (<b>b</b>). Mass loss dynamics during dehydroxylation of structurally bound water by Ca(OH)<sub>2</sub> in the temperature range 422–500 °C. (<b>c</b>). Mass loss dynamics during dehydroxylation and partial decarbonation of CSH/CSAH in the temperature range 500–730 °C. (<b>d</b>). Total mass loss dynamics in the temperature range RT–1300 °C.</p>
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19 pages, 5368 KiB  
Article
Farmers’ Perception of Shelter Forests and the Influencing Factors in Windy Desert Areas of the Hexi Corridor, China
by Yuzhong Zhang, Gaofeng Zhu, Yang Zhang, Jingjing Wu, Zhiqi Gao, Yonghong Su, Cong Xu and Haochen Fan
Forests 2024, 15(10), 1721; https://doi.org/10.3390/f15101721 - 28 Sep 2024
Viewed by 461
Abstract
Shelter forest systems in the sandy areas mainly comprise farmland shelter forests (FSF) and windbreak and sand-fixing forests (WSF). Through a questionnaire survey of farmers in the oasis–desert transition zone of the windy desert areas of the Hexi Corridor in China, a perception [...] Read more.
Shelter forest systems in the sandy areas mainly comprise farmland shelter forests (FSF) and windbreak and sand-fixing forests (WSF). Through a questionnaire survey of farmers in the oasis–desert transition zone of the windy desert areas of the Hexi Corridor in China, a perception assessment model of farmers’ perception of the status quo and ecosystem service function of shelter forests was constructed, and the willingness of farmers to pay for shelter forest construction and protection was measured. Influencing factors for the farmers’ perception of shelter forests were analyzed by a multiple regression analysis. The results showed problems with pests and diseases all present in FSF and WSF, the destruction of farmland in FSF, and water scarcity in WSF. Farmers evaluated the ecological role of shelter forests as the most obvious in windbreak and sand fixation; intermediate in the four ecological roles of leisure and recreation, agricultural production, a sense of locality, and climate regulation; and the smallest in soil improvement. Nearly 95% of farmers are willing to donate funds to shelter forest construction and protection, and the average amount the farmers were willing to pay was CNY 54.30 per year. Willingness to pay, annual household income, gender, environmental experience, age, and interview area have significant effects on farmers’ perception of shelter forests. Finally, in this paper, we recommend increasing motivation through government financial support and training for farmers to address pests and diseases, water security, and the destruction of farmland in shelter forests to ensure healthy and sustainable growth. Full article
(This article belongs to the Section Forest Economics, Policy, and Social Science)
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<p>A map of the study area. (<b>a</b>): The geographic location of the study area. (<b>b</b>): Farmland shelter forest. (<b>c</b>): Windbreak and sand fixation forest. (<b>d</b>,<b>e</b>): Interviewing farmers.</p>
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<p>Framework for the research ideas.</p>
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<p>Farmers’ perception of the shelter forest. Note: (<b>a</b>) status, (<b>b</b>) ecosystem service, Gc: growth condition, Pd: peats and diseases, Df: destruction farmland, Ld: livestock destruction, Ws: water security, Cc: completeness condition; WS: windbreak and sand fixation, CR: climate regulation, SL: sense of locality, AP: agricultural production, LR: leisure and recreation, SI: soil improvement.</p>
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<p>Regional divergence in farmers’ perception of shelter forest status. Note: (<b>a</b>): growth condition, (<b>b</b>): peats and diseases, (<b>c</b>): destruction farmland, (<b>d</b>): livestock destruction, (<b>e</b>): water security, (<b>f</b>): completeness condition, ns: no significant.</p>
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<p>Regional divergence in farmers’ perception of shelter forest ecosystem service. Note: (<b>a</b>): windbreak and sand fixation, (<b>b</b>): climate regulation, (<b>c</b>): sense of locality, (<b>d</b>): agricultural production, (<b>e</b>): leisure and recreation, (<b>f</b>): soil improvement, ns: no significant.</p>
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<p>Interaction factors influencing farmers’ perception of shelter forest. Note: WTP: willingness to pay, PS: perception score, AHI: annual household income, EL: education level, EE: environmental experience, IA: interviewed area. (<b>a</b>) is the perception score moderated by willingness to pay and annual household income; (<b>b</b>) is the perception score moderated by willingness to pay and education level; (<b>c</b>) is the perception score moderated by interviewed area and environmental experience; (<b>d</b>) is the perception score moderated by age and environmental experience; A larger number on the horizontal axis of c indicates that the interviewed area is farther west. The 1, 2, 3, and 4 in the legend (<b>c</b>,<b>d</b>) represents no experience, afforestation, village construction, and agroforestry training.</p>
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<p>Environmental management planning for shelter forests in windy desert areas.</p>
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15 pages, 2735 KiB  
Review
Challenges Associated with the Production of Nanofibers
by Lebo Maduna and Asis Patnaik
Processes 2024, 12(10), 2100; https://doi.org/10.3390/pr12102100 - 27 Sep 2024
Viewed by 378
Abstract
Nanofibers, with their high surface area-to-volume ratio and unique physical properties, hold significant promise for a wide range of applications, including medical devices, filtration systems, packaging, electronics, and advanced textiles. However, their development and commercialization are hindered by several key challenges and hazards. [...] Read more.
Nanofibers, with their high surface area-to-volume ratio and unique physical properties, hold significant promise for a wide range of applications, including medical devices, filtration systems, packaging, electronics, and advanced textiles. However, their development and commercialization are hindered by several key challenges and hazards. The main issues are production cost and yield, high voltage, clogging, and toxic materials driven by complex production techniques, which limit their adoption. Additionally, there are environmental and health concerns associated with nanofiber production and disposal, necessitating the development of safer and more sustainable processes and materials. Addressing these challenges requires continued innovation in materials science and industrial practices, as well as a concerted effort to balance production, material, and surrounding condition parameters. This study emphasizes the challenges and hazards associated with nanofiber materials and their production techniques, including electrospinning, centrifugal spinning, solution blow spinning, electro-blown spinning, wet spinning, and melt spinning. It also emphasizes biopolymers and recycling as sustainable and eco-friendly practices to avoid harming the environment and human beings. Full article
(This article belongs to the Section Materials Processes)
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<p>Basic electrospinning setup [<a href="#B3-processes-12-02100" class="html-bibr">3</a>].</p>
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<p>Basic setup of centrifugal spinning [<a href="#B6-processes-12-02100" class="html-bibr">6</a>].</p>
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<p>Basic setup of a solution blow spinning [<a href="#B33-processes-12-02100" class="html-bibr">33</a>].</p>
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<p>Electro-blown spinning setup [<a href="#B36-processes-12-02100" class="html-bibr">36</a>].</p>
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<p>Wet spinning basic setup [<a href="#B43-processes-12-02100" class="html-bibr">43</a>].</p>
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<p>Melt electrospinning basic setup [<a href="#B26-processes-12-02100" class="html-bibr">26</a>].</p>
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21 pages, 1984 KiB  
Article
Prediction of Energy Consumption and Carbon Dioxide Emissions in Gansu Province of China under the Background of “Double Carbon”
by Mingchen Duan and Yi Duan
Energies 2024, 17(19), 4842; https://doi.org/10.3390/en17194842 - 27 Sep 2024
Viewed by 346
Abstract
Gansu Province in China has the characteristics of an underdeveloped economy, low forest carbon sink, and rich non-fossil energy, making it a typical area for research to achieve the “double carbon” target. In this paper, the primary energy consumption and carbon emissions and [...] Read more.
Gansu Province in China has the characteristics of an underdeveloped economy, low forest carbon sink, and rich non-fossil energy, making it a typical area for research to achieve the “double carbon” target. In this paper, the primary energy consumption and carbon emissions and their development trends in Gansu Province during the “double carbon” target period were predicted by the fixed-base energy consumption elasticity coefficient method, and the possibility of achieving the “double carbon” target in Gansu Province was explored. In the three hypothetical scenarios, it was estimated that the total primary energy consumption of Gansu Province will be 91.9–94.81 million tons of standard coal by 2030 and 99.35–110.76 million tons of standard coal by 2060. According to the predicted share of different energy consumption in Gansu Province, the CO2 emissions of Gansu Province in the three scenarios were calculated and predicted to be between 148.60 and 153.31 million tons in 2030 and 42.10 and 46.93 million tons in 2060. The study suggests that Gansu Province can reach the carbon peak before 2030 in the hypothetical scenarios. However, to achieve the goal of carbon neutrality by 2060, it was proposed that, in addition to increasing carbon sinks by afforestation, it is also necessary to increase the share of non-fossil energy. As long as the share is increased by 0.3% on the basis of 2030, the goal of carbon neutrality by 2060 in Gansu Province can be achieved. The results show that the increase in the share of non-fossil energy consumption is the most important way to achieve the goal of carbon neutrality in Gansu Province, and it also needs to be combined with the optimization of industrial structure and improvement of technological progress. Based on the research results, some countermeasures and suggestions are put forward to achieve the goal of carbon neutrality in Gansu Province. Full article
(This article belongs to the Special Issue Advances in Energy Transition to Achieve Carbon Neutrality)
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<p>GDP and energy consumption in Gansu Province during 2005–2021. The GDP data in <a href="#energies-17-04842-f001" class="html-fig">Figure 1</a> is calculated at current prices with included price increases.</p>
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<p>Growth rate of GDP and energy consumption in Gansu Province during 2005–2021.</p>
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<p>Energy consumption (<b>a</b>) and GDP (<b>b</b>) of different industries in Gansu Province during 2005–2021. The GDP data in <a href="#energies-17-04842-f003" class="html-fig">Figure 3</a>b is calculated at current prices with included price increases.</p>
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<p>Growth rate of energy consumption per unit GDP (<b>a</b>) and energy consumption per ten thousand yuan GDP (<b>b</b>) in Gansu Province during 2005–2021.</p>
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<p>(<b>a</b>,<b>b</b>) Production and consumption of different energy sources in Gansu Province during 2005–2021.</p>
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<p>Fixed-base energy consumption elasticity coefficient and its prediction in Gansu Province.</p>
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<p>Share and its prediction of different energy consumption in Gansu Province.</p>
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<p>Share and its prediction of non-fossil energy and fossil energy consumption in Gansu Province.</p>
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<p>CO<sub>2</sub> emission and its prediction in Gansu Province under different scenarios.</p>
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