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Search Results (26,317)

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16 pages, 2731 KiB  
Article
Major Ion Chemistry of Surface Water and Its Controlling Factors in Ebinur Lake Basin
by Jiaxin Zhou, Fuyuan Gao, Ruiqi Yang, Chuancheng Zhao and Qingfeng Li
Water 2024, 16(19), 2780; https://doi.org/10.3390/w16192780 (registering DOI) - 29 Sep 2024
Abstract
The sustainable development of arid regions is significantly constrained by the availability of water resources, which play a crucial role in this context. It is necessary to deeply investigate and analyze the hydrochemical characteristics and major ion sources. This study, which was based [...] Read more.
The sustainable development of arid regions is significantly constrained by the availability of water resources, which play a crucial role in this context. It is necessary to deeply investigate and analyze the hydrochemical characteristics and major ion sources. This study, which was based on data from 183 water samples collected from the Jinghe River Basin, provided a comprehensive analysis of the river water hydrochemistry. The results show that the average TDSs (total dissolved solids) was measured at 49.8 mg·L1. HCO3 (82.4%) and Ca2+ (77.1%) were the ions present in the highest abundances. The river water was classified as the HCO3-Ca2+ hydrochemical type. The Gibbs diagrams indicated that the ion composition was primarily influenced by rock weathering. Additionally, the Na-normalized molar ratio diagrams suggested that the chemical composition was primarily governed by the weathering and dissolution of silicate rocks, while the carbonate rock dissolution played a lesser role. This study demonstrates a critical aspect of water resources quality evaluation, which is of great significance for the sustainable development, utilization and environmental protection of regional water resources. Full article
(This article belongs to the Section Hydrology)
21 pages, 1562 KiB  
Article
The Role of Climate Change and Human Intervention in Shaping Vegetation Patterns in the Fen River Basin of China: Implications of the Grain for Green Program
by Kaijie Niu, Geng Liu, Cun Zhan and Aiqing Kang
Forests 2024, 15(10), 1733; https://doi.org/10.3390/f15101733 (registering DOI) - 29 Sep 2024
Abstract
The Fen River Basin (FRB), an ecologically fragile region in China, exemplifies the intricate interplay between vegetation dynamics and both climatic and human-driven factors. This study leverages a 40-year (1982–2022) dataset, utilizing the kernel-based normalized difference vegetation index (kNDVI) alongside key climatic variables—rainfall [...] Read more.
The Fen River Basin (FRB), an ecologically fragile region in China, exemplifies the intricate interplay between vegetation dynamics and both climatic and human-driven factors. This study leverages a 40-year (1982–2022) dataset, utilizing the kernel-based normalized difference vegetation index (kNDVI) alongside key climatic variables—rainfall (PRE), temperature (TMP), and solar radiation (SRAD)—to investigate vegetation variations and their drivers in the FRB, particularly in relation to the Grain for Green Program (GGP). Our analysis highlights significant greening across the FRB, with the kNDVI slope increasing by 0.0028 yr⁻¹ and green-covered areas expanding by 92.8% over the study period. The GGP facilitated the greening process, resulting in a notable increase in the kNDVI slope from 0.0005 yr⁻¹ to 0.0052 yr⁻¹ and a marked expansion in the area of significant greening from 24.6% to 95.8%. Regional climate shifts, characterized by increased warming, heightened humidity, and a slight rise in SRAD, have further driven vegetation growth, contributing 75%, 58.7%, and 23.6% to vegetation dynamics, respectively. Notably, the GGP has amplified vegetation’s sensitivity to climatic variables, with areas significantly impacted by multiple climate factors expanding from 4.8% to 37.5%. Specially, PRE is the primary climatic influence, impacting 71.3% of the pertinent regions, followed by TMP (60.1%) and SRAD (30%). The integrated effects of climatic and anthropogenic factors, accounting for 47.8% and 52.2% of kNDVI variations, respectively, collectively influence 96% of the region’s vegetation dynamics. These findings underscore the critical role of climate change and human interventions in shaping vegetation patterns and provide a robust foundation for refining ecological conservation strategies, particularly in the context of global warming and land-use policies. Full article
(This article belongs to the Special Issue Application of Remote Sensing in Vegetation Dynamic and Ecology)
17 pages, 7426 KiB  
Article
Differential Evaluation of Ecological Resilience in 45 Cities along the Yangtze River in China: A New Multidimensional Analysis Framework
by Chong Li, Yibao Wang, Wen Qing, Cuixi Li and Yujiang Yang
Land 2024, 13(10), 1588; https://doi.org/10.3390/land13101588 (registering DOI) - 29 Sep 2024
Abstract
The rapid pace of urbanization and global climate change necessitates a thorough assessment of urban ecological resilience to cultivate sustainable regional ecosystem development. Cities along the Yangtze River face an intensifying conflict between ecological preservation and socio-economic growth. Analyzing the ecological resilience of [...] Read more.
The rapid pace of urbanization and global climate change necessitates a thorough assessment of urban ecological resilience to cultivate sustainable regional ecosystem development. Cities along the Yangtze River face an intensifying conflict between ecological preservation and socio-economic growth. Analyzing the ecological resilience of these urban centers is essential for achieving equilibrium in regional urban ecosystems. This study proposes a “system process space” attribute analysis framework, taking into account urban development processes, ecosystem structure, and resilience evolution stages. Utilizing data from 45 Yangtze River cities, we establish a “Driver, Pressure, State, Impact, and Response” (DPSIR) evaluation index system to evaluate changes in ecological resilience levels and evolution trends from 2011 to 2022. Our findings indicate that: (1) The ecological resilience index of Yangtze River cities increased from 0.177 to 0.307 between 2011 and 2022, progressing through three phases: ecological resilience construction, rapid development, and stable development. (2) At the city level, ecological resilience along the Yangtze River exhibits uneven development characteristics. Upstream cities display a significant “stepped” pattern, midstream cities exhibit a significant “Matthew effect”, and downstream cities present a pyramid-shaped pattern. While regional differences in ecological resilience persist, overall polarization is gradually decreasing, intercity connections are strengthening, and there is a growing focus on coordinated regional development. (3) The spatial distribution of ecological resilience in Yangtze River cities demonstrates both continuity and evolution, generally forming a “core-edge” clustered pattern. Based on these findings, we recommend enhancing inter-city cooperation and connectivity, addressing imbalances in urban ecological resilience, and promoting high-quality ecological resilience development along the Yangtze River through tailored development strategies for each city. Full article
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Figure 1
<p>Theoretical framework for UER.</p>
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<p>Overview of the study area. (<b>a</b>) Geographic location of the Yangtze River Basin in China. (<b>b</b>) Location of the study area. (<b>c</b>) Upstream cities in the research area. (<b>d</b>) Midstream cities in the research area. (<b>e</b>) Downstream cities in the research area.</p>
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<p>UERI of cities along the Yangtze River (<b>a</b>), Upstream cities (<b>b</b>), Midstream cities (<b>c</b>), Downstream cities (<b>d</b>).</p>
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<p>Spatial distribution of UER along the Yangtze River (<b>a</b>), 2011–2014 average (<b>b</b>), 2015–2018 average (<b>c</b>), 2019–2022 average (<b>d</b>).</p>
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<p>UER core density curve (<b>a</b>), upstream cities (<b>b</b>), midstream cities (<b>c</b>) and downstream cities (<b>d</b>) along the Yangtze River.</p>
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16 pages, 1501 KiB  
Article
Optimizing Oxalic Acid Application Regime to Maximize Sunflower Remediation Efficacy in Cd-Contaminated Soils
by Dengmin Zhang, Yang Han, Dongmei Qiao, Yadan Wang, Wenhuan Yang, Weiping Li, Yongqiang Xing, Fangfang Bai and Yulong Zhao
Agronomy 2024, 14(10), 2255; https://doi.org/10.3390/agronomy14102255 (registering DOI) - 29 Sep 2024
Abstract
The exogenous application of oxalic acid is a potential approach to amplifying phytoremediation performance on Cd-contaminated soils. However, few studies explore the optimal oxalic acid application regime from a perspective of coupling different concentrations and timings to maximize Cd removal rate. Given this, [...] Read more.
The exogenous application of oxalic acid is a potential approach to amplifying phytoremediation performance on Cd-contaminated soils. However, few studies explore the optimal oxalic acid application regime from a perspective of coupling different concentrations and timings to maximize Cd removal rate. Given this, a pot experiment was conducted using oil sunflower (Helianthus annuus L.) as the test plant. Oxalic acid was added to the pots at concentrations of 1, 2, 3, 4, 5, and 6 mmol/kg at 20, 30, 40, and 50 days after emergence. A control (CK) without exogenous oxalic acid was also included. We examined the discrepancies in various soil Cd forms, sunflower height, plant non-protein thiol (NPT) levels, and soil Cd remediation efficiency under different oxalic acid application regimes. The results showed that applying oxalic acid at a concentration of 4 mmol/kg reduced the proportion of Fe-Mn oxide Cd and organic Cd compared to the control (CK), while increased the proportion of available Cd. The optimal application time is 30 or 40 days after emergence. The addition of exogenous oxalic acid promoted the growth of sunflowers, with the greatest increase in plant height observed when 4 mmol/kg oxalic acid was applied at 30 days after emergence. Exogenous oxalic acid enhanced the absorption of Cd by sunflower roots, with the total Cd accumulation in roots, stems, and leaves being higher than in the control (CK). When 4 mmol/kg oxalic acid was applied at 30 days after emergence, the total Cd accumulation in roots, stems, and leaves was highest. Under different application times and concentration levels of oxalic acid, Cd accumulation was highest in roots, followed by leaves, with stems showing the lowest accumulation. The NPT content in each part is as follows: root > stem > leaf. Applying 5 mmol/kg oxalic acid after 30 days of sunflower emergence resulted in relatively higher total NPT content in roots, stems, and leaves compared to the control (CK). The TOPSIS model was used for comprehensive evaluation, which showed that 4 mmol/kg oxalic acid application at 30 days after emergence could be used as the optimal oxalic acid application regime for phytoremediation. These findings indicate that the addition of oxalic acid effectively promoted the absorption of Cd by sunflower and increased the efficiency of Cd removal from the rhizosphere soil, with the optimal removal of soil Cd achieved by applying oxalic acid at a concentration of 4 mmol/kg 30 days after the emergence of oilseed sunflower seedlings. Full article
(This article belongs to the Section Agroecology Innovation: Achieving System Resilience)
18 pages, 5633 KiB  
Article
Characteristics and Driving Factors of Benthic Animal Communities in Different Water Functional Zones of the Jiangsu Section of the Yangtze River
by Mengqi Shi, Mingyue Lou, Jinhua Wu, Guangbin Liu, Han Gao and Mingchen Guo
Water 2024, 16(19), 2778; https://doi.org/10.3390/w16192778 (registering DOI) - 29 Sep 2024
Abstract
This study explored the characteristics of benthic animal communities in different water functional areas and the driving factors affecting changes in the community structure of four water functional zones of the Jiangsu section of the Yangtze River: the protection, buffer, reserve, and development [...] Read more.
This study explored the characteristics of benthic animal communities in different water functional areas and the driving factors affecting changes in the community structure of four water functional zones of the Jiangsu section of the Yangtze River: the protection, buffer, reserve, and development and utilization zones. The results showed that the alpha diversity of the benthic animal communities in the protected and reserved zones was significantly higher than that of the buffer and development and utilization zones, and the benthic animal community structure differed significantly across different water functional zones. These zones indirectly affected the community of benthic fauna due to their environmental heterogeneity. Furthermore, the average degree, map density, and average clustering coefficient of the molecular ecological network were highest in the protected zone. The average path length was shorter, and there were more types and numbers of key species in the benthic animal community in the protected zone, indicating high levels of connectivity and efficiency in transferring substances, energy, and information between benthic animals. These results will provide a scientific basis for studying the characteristics and driving factors of benthic animal communities in the Yangtze River and have important significance for assessing and restoring aquatic ecology in the Yangtze River Basin. Full article
21 pages, 7132 KiB  
Article
Identification of Groundwater–Surface Water Interaction Using Combined Hydraulic and Hydrogeochemical Methods
by Zihan Li, Yongjun Fang, Bo Meng, Hui Guo and Xinqiang Du
Water 2024, 16(19), 2777; https://doi.org/10.3390/w16192777 (registering DOI) - 29 Sep 2024
Abstract
Abstract: Understanding groundwater–surface water interaction is essential for water resource management and watershed ecological protection. However, the existing studies often emphasize the tracer role of hydrogeochemical methods (including hydrochemistry and isotopes) while underestimating the importance of analyzing watershed hydraulic characteristics, thus neglecting the [...] Read more.
Abstract: Understanding groundwater–surface water interaction is essential for water resource management and watershed ecological protection. However, the existing studies often emphasize the tracer role of hydrogeochemical methods (including hydrochemistry and isotopes) while underestimating the importance of analyzing watershed hydraulic characteristics, thus neglecting the indications of the driving mechanisms (hydraulic head difference) for the water exchange. Taking the Songhua River in the Sanjiang Plain as an example, this study combines hydraulic, hydrochemical, and isotopic methods to clarify the groundwater–surface water interactions from both a driving mechanism perspective and a hydrogeochemical characterization perspective within the water cycle. The results indicate that human exploitation has caused river water to infiltrate into groundwater, converting the section into a losing river, where surface water consistently exhibits a hydraulic tendency to recharge the aquifer. The influence zone of the river extends up to 3.5 km from the riverbank, with an average recharge rate from the river reaching 78.04% within this area. This recharge mixes and dilutes the adjacent groundwater, impacting its hydrogeochemical characteristics. This study enhances the understanding of combined methods for groundwater–surface water interaction and provides a scientific basis for water resource management and pollution control strategies in the local agricultural regions. Full article
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 (registering DOI) - 29 Sep 2024
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 (registering DOI) - 29 Sep 2024
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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Figure 1
<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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30 pages, 5593 KiB  
Article
Experimental Investigation of Bridge Scour under Pressure Flow Conditions
by Müsteyde Baduna Koçyiğit and Önder Koçyiğit
Water 2024, 16(19), 2773; https://doi.org/10.3390/w16192773 (registering DOI) - 29 Sep 2024
Abstract
Recent studies have revealed that the frequency and magnitude of floods tend to increase due to climate change. Hence, excessive scouring due to flood events puts river bridges at greater risk of failure. This paper presents the initial findings of an experimental study [...] Read more.
Recent studies have revealed that the frequency and magnitude of floods tend to increase due to climate change. Hence, excessive scouring due to flood events puts river bridges at greater risk of failure. This paper presents the initial findings of an experimental study to improve the understanding of the main characteristics of bridge pier scour under pressurized flow encountered during flooding. The experiments were carried out in four main groups according to two deck alignments with circular and oblong pier shapes. For each group of experiments, thirty-six tests were conducted under partially and fully pressurized flow conditions using four approach flow depths and three discharge values. The validity of the structured design approach for pier scour estimation implemented in the guidelines was investigated. The results showed that the bridge pier scour depths were up to 29.4% and 49.4% greater than the sum of the vertical contraction and local scour depths for 100 L/s for partially and fully pressurized flow conditions, respectively. However, as the discharge increased to 120 L/s, the bridge pier scour depth became 38.3% and 17.8% smaller than the sum of the vertical contraction and local scour depths for partially and fully pressurized flow, respectively. So, the structured design approach was determined to be safe for high discharge values. Furthermore, it was found that tests with a circular pier resulted in higher bridge pier scour depths than the sum of the vertical contraction and local scour depths up to 19.3% even for 120 L/s. Conversely, smaller bridge pier scour depths than the sum of the vertical contraction and local scour depths were observed up to 17.8% for tests with oblong piers. Thus, it can be concluded that the pier shape has a profound effect on scour holes and oblong piers cause smaller scour depths than circular piers in pressurized flow conditions. This study showed that the flow–pier–deck interaction significantly affects the depth and width of the scour hole, especially for small discharges and fully pressurized flow conditions. Full article
(This article belongs to the Special Issue Sediment Transport at Bridges and River Training Structures)
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Figure 1
<p>Definition sketch of variables for pressure flow scour around a circular pier: (<b>a</b>) top view; (<b>b</b>) oblong pier shape; (<b>c</b>) side view (cross-section of A-A for the circular pier shape).</p>
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<p>Schematic of the flume.</p>
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<p>Experimental apparatus: (<b>a</b>) bridge deck; (<b>b</b>) laser meter and circular pier; and (<b>c</b>) skewed bridge deck and circular pier.</p>
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<p>Dimensionless longitudinal pressurized scour profiles for Q<sub>1</sub> (100 L/s) and Q<sub>3</sub> (120 L/s) and approach flow depths of <span class="html-italic">y<sub>a</sub></span><sub>1</sub> (34.5 cm) and <span class="html-italic">y<sub>a</sub></span><sub>4</sub> (41.5 cm) for (<b>a</b>) Group 1, (<b>b</b>) Group 2, (<b>c</b>) Group 3, and (<b>d</b>) Group 4.</p>
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<p>Dimensionless longitudinal pressurized scour profiles for Q<sub>1</sub> (100 L/s) and Q<sub>3</sub> (120 L/s) and approach flow depths of <span class="html-italic">y<sub>a</sub></span><sub>1</sub> (34.5 cm) and <span class="html-italic">y<sub>a</sub></span><sub>4</sub> (41.5 cm) for (<b>a</b>) Group 1, (<b>b</b>) Group 2, (<b>c</b>) Group 3, and (<b>d</b>) Group 4.</p>
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<p>Dimensionless lateral pressurized flow scour profiles for Q<sub>1</sub> (100 L/s) and Q<sub>3</sub> (120 L/s) and approach flow depths of <span class="html-italic">y<sub>a</sub></span><sub>1</sub> (34.5 cm) and <span class="html-italic">y<sub>a</sub></span><sub>4</sub> (41.5 cm) for (<b>a</b>) Group 1, (<b>b</b>) Group 2, (<b>c</b>) Group 3, and (<b>d</b>) Group 4.</p>
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<p>Dimensionless lateral pressurized flow scour profiles for Q<sub>1</sub> (100 L/s) and Q<sub>3</sub> (120 L/s) and approach flow depths of <span class="html-italic">y<sub>a</sub></span><sub>1</sub> (34.5 cm) and <span class="html-italic">y<sub>a</sub></span><sub>4</sub> (41.5 cm) for (<b>a</b>) Group 1, (<b>b</b>) Group 2, (<b>c</b>) Group 3, and (<b>d</b>) Group 4.</p>
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<p>Dimensionless longitudinal pressurized flow scour profiles at 34.5 cm approach flow depth for all groups for discharge values of (<b>a</b>) 100 L/s and (<b>b</b>) 120 L/s.</p>
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<p>Dimensionless longitudinal pressurized flow scour profiles at approach flow depths of 34.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>1</sub>), 37.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>2</sub>), 39.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>3</sub>), and 41.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>4</sub>) for 120 L/s at (<b>a</b>) the oblong pier and (<b>b</b>) the circular pier.</p>
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<p>Dimensionless longitudinal pressurized flow scour profiles at approach flow depths of 34.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>1</sub>), 37.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>2</sub>), 39.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>3</sub>), and 41.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>4</sub>) for 120 L/s at (<b>a</b>) the oblong pier and (<b>b</b>) the circular pier.</p>
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<p>Dimensionless longitudinal pressurized flow scour profiles at approach flow depths of 34.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>1</sub>), 37.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>2</sub>), 39.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>3</sub>), and 41.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>4</sub>) for (<b>a</b>) Group 1 and Group 2 and (<b>b</b>) Group 3 and Group 4.</p>
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<p>Dimensionless longitudinal pressurized flow scour profiles at approach flow depths of 34.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>1</sub>), 37.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>2</sub>), 39.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>3</sub>), and 41.5 cm (<span class="html-italic">y<sub>a</sub></span><sub>4</sub>) for (<b>a</b>) Group 1 and Group 2 and (<b>b</b>) Group 3 and Group 4.</p>
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<p>The measured maximum depth of scour versus the predicted maximum scour depth under the pressure flow condition.</p>
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<p>Comparison of Equation (9) with Equation (1) of Abed [<a href="#B15-water-16-02773" class="html-bibr">15</a>].</p>
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<p>Performance of Equations (1) of Abed [<a href="#B15-water-16-02773" class="html-bibr">15</a>] and (9).</p>
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<p>Performance of Equations (1), (2) of Abed [<a href="#B15-water-16-02773" class="html-bibr">15</a>] and (9).</p>
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<p>Scour hole profiles for 100 L/s at an approach flow depth of 34.5 cm along the flume centerline for (<b>a</b>) Group 1, (<b>b</b>) Group 2, (<b>c</b>) Group 3, and (<b>d</b>) Group 4.</p>
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<p>Scour hole profiles for 100 L/s at an approach flow depth of 34.5 cm along the flume centerline for (<b>a</b>) Group 1, (<b>b</b>) Group 2, (<b>c</b>) Group 3, and (<b>d</b>) Group 4.</p>
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<p>Scour hole profiles for 120 L/s at an approach flow depth of 34.5 cm along the flume centerline for (<b>a</b>) Group 1, (<b>b</b>) Group 2, (<b>c</b>) Group 3, and (<b>d</b>) Group 4.</p>
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<p>Scour hole profiles for 120 L/s at an approach flow depth of 34.5 cm along the flume centerline for (<b>a</b>) Group 1, (<b>b</b>) Group 2, (<b>c</b>) Group 3, and (<b>d</b>) Group 4.</p>
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17 pages, 3193 KiB  
Article
Biomimetic Studies on the Antimicrobial Activity of Some Biocides Based on Garlic and Lavender in Surface Waters
by Mădălina Grinzeanu, Oanamari Daniela Orbuleț, Annette Madelene Dăncilă, Constantin Bobirică, Cristina Modrogan, Liliana Bobirică and Mădălina Andreea Pandele
Biomimetics 2024, 9(10), 591; https://doi.org/10.3390/biomimetics9100591 (registering DOI) - 29 Sep 2024
Abstract
For a given aquatic ecosystem that will be used as a water source, it is necessary to establish the quality of the water from a microbiological point of view by identifying the pathogens present in the water. The aim of this study was [...] Read more.
For a given aquatic ecosystem that will be used as a water source, it is necessary to establish the quality of the water from a microbiological point of view by identifying the pathogens present in the water. The aim of this study was to determine and analyze the antimicrobial activity of some biocides derived from garlic (garlic–methanol extract) and lavender (lavender–water extract). Their efficiency was evaluated at different concentrations and contact times. Initially, through specific laboratory analyses, the microbiological characteristics of the river were determined. Biomimetic studies on the antimicrobial activity of biocides based on garlic and lavender in surface waters involved detailed exploration of how the natural antimicrobial properties of these plants can be effectively utilized to treat water contaminated with harmful microorganisms. Both the contact time and the amount of biocide used have a significant effect on the microorganisms of interest. Thus, to describe the degradation rate of coliform bacteria, a pseudo-first-order and zero-order kinetic model was used, r=(dN/dt)=kobs·t şi r0=kobs·N0=k0, where r is the rate of degradation of microorganisms (CFU/min), N0 is the initial number of microorganisms in the aqueous solution (colony-forming unit, CFU), N is the final number of microorganisms after a contact time t (CFU), kobs is the pseudo-first-order rate constant (min−1), t is the contact time (min), r0 is the initial rate of degradation of microorganisms (CFU/min), and k0 is the pseudo-rate constant zero order (min−1). Following 60 min of treatment with 1 mL of lavender-water biocide, the inhibition rate of pathogenic microorganisms in the water reached 59.09%, whereas, under the same conditions, the garlic–methanol biocide achieved an inhibition rate of 40.86%. This study confirms the antimicrobial activity of both lavender and garlic biocides, highlighting their potential in mitigating water pollution caused by pathogens. Full article
(This article belongs to the Special Issue Advances in Biomaterials, Biocomposites and Biopolymers 2024)
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<p>The decrease in the concentration of microorganisms after the addition of the garlic–methanol biocide.</p>
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<p>The decrease in the concentration of microorganisms after the addition of the lavender–water biocide.</p>
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<p>GC-MS spectrum of lavender–water extract.</p>
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<p>GC-MS spectrum of garlic–methanol extract.</p>
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<p>FTIR spectrum of garlic–methanol extract.</p>
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<p>FTIR spectrum of lavender–water extract.</p>
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<p><sup>1</sup>H NMR spectrum of garlic–methanol extract.</p>
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<p>Variation in the number of coliform bacteria depending on the contact time with the lavender–water biocide, (<b>a</b>) V = 1 mL, (<b>b</b>) V = 3 mL, (<b>c</b>) V = 5 mL, (<b>d</b>) V = 10 mL.</p>
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<p>Variation in the number of fecal coliforms depending on the contact time with the garlic–methanol biocide, (<b>a</b>) V = 1 mL, (<b>b</b>) V = 5 mL, (<b>c</b>) V = 10 mL.</p>
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<p>Pseudo-first-order kinetic model for the degradation of coliform bacteria in contact with lavender–water biocide, (<b>a</b>) V = 1 mL, (<b>b</b>) V = 3 mL, (<b>c</b>) V = 5 mL, (<b>d</b>) V = 10 mL.</p>
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<p>Pseudo-first-order kinetic model for the degradation of coliform bacteria in contact with lavender–water biocide, (<b>a</b>) V = 1 mL, (<b>b</b>) V = 3 mL, (<b>c</b>) V = 5 mL, (<b>d</b>) V = 10 mL.</p>
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<p>Pseudo-first-order kinetic model for the degradation of fecal coliforms in contact with garlic–methanol biocide, (<b>a</b>) V = 1mL, (<b>b</b>) V = 5 mL, (<b>c</b>) V = 10 mL.</p>
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18 pages, 2925 KiB  
Article
The Spatial Variation of Soil Structure Fractal Derived from Particle Size Distributions at the Basin Scale
by Yujiang He, Borui Peng, Lei Dai, Yanyan Wang, Ying Liu and Guiling Wang
Fractal Fract. 2024, 8(10), 570; https://doi.org/10.3390/fractalfract8100570 (registering DOI) - 29 Sep 2024
Abstract
Abstract: The accurate characterization of soil structure is fundamental to groundwater science, environmental ecology, and Earth systems science. To address the challenge of quantifying the high spatial variability of large-scale soil structures, this study used a laser particle size analyzer to measure the [...] Read more.
Abstract: The accurate characterization of soil structure is fundamental to groundwater science, environmental ecology, and Earth systems science. To address the challenge of quantifying the high spatial variability of large-scale soil structures, this study used a laser particle size analyzer to measure the distribution of soil particle size in 207 samples from ten profiles across the Daqing and Ziya River basins in the North China Plain. The quantified soil structure, expressed as soil fractal dimension D, was derived using monofractal theory. Various spatial analysis techniques, including Moran’s I index, correlation analysis heat maps, the Kolmogorov–Smirnov one-sample test, and geostatistical semivariogram function, were jointly applied to investigate the spatial variability of soil structural fractals across different depths in the piedmont plain–coastal areas of the two river basins. The results indicate the following: (1) Quantitative analysis confirms that under the influence of piedmont alluvial and fluvial dynamics, soil D values homogenize from the piedmont to the coastal areas, with decreasing particle size differences closer to the coast. However, the spatial variability of the soil structural fractals in the Ziya River Basin was greater than that in the Daqing River Basin. (2) The combined effects of climate change, regional differences, and human activity led to greater spatial variability in the soil structural fractals in the Ziya River Basin than in the Daqing River Basin. The correlation between D values and burial depth was strongest in the Xianxian profile (−0.78), whereas the spatial correlation was strongest in the Hengshui and Dacheng profiles (−0.47). (3) The greatest spatial variability in soil D values occurred at depths of 1–2 m, with a coefficient of variation of 23.595%, which was significantly higher than those at depths of 0–1 (14.569%) and 2–3 m (16.284%). Full article
(This article belongs to the Special Issue Fractal and Fractional in Geomaterials, 2nd Edition)
16 pages, 8118 KiB  
Article
Assessment of High-Severity Post-Fire Soil Quality and Its Recovery in Dry/Warm Valley Forestlands in Southwest China through Selecting the Minimum Data Set and Soil Quality Index
by Xiaosong Qin, Yi Wang, Dongdong Hou and Yongkang Li
Forests 2024, 15(10), 1727; https://doi.org/10.3390/f15101727 (registering DOI) - 29 Sep 2024
Abstract
Recurrent wildfires can negatively affect soil quality, and post-fire soil quality recovery is critical for maintaining sustainable ecosystem development. The objective of this study was to evaluate the changes and recovery of soil properties and soil quality in the forests of dry/warm river [...] Read more.
Recurrent wildfires can negatively affect soil quality, and post-fire soil quality recovery is critical for maintaining sustainable ecosystem development. The objective of this study was to evaluate the changes and recovery of soil properties and soil quality in the forests of dry/warm river valleys in southwest China after disturbance by high-severity fires. In this study, the impact of fire on soil properties and soil quality was investigated for three years post-fire. Unburned forest land with a similar natural environment compared to the fire area was used as a control. Soil samples were collected from three different depths of 0–10 cm, 10–20 cm, and 20–30 cm, respectively. Principal component analysis (PCA) combined with the Norm value was used to select the minimum data set (MDS), thus calculating the soil quality index (SQI). The results showed that the soil properties changed significantly after high-severity fires. On average, soil bulk density (0.91 g/cm3, p = 0.001), total nitrogen (0.12 g/kg, p = 0.000), total phosphorus (0.10 g/kg, p = 0.000), and total potassium (5.55 g/kg, p = 0.000) were significantly lower in the burned areas than in the unburned areas at the first sampling. These indicators increased in the following three years but still did not recover to unburned levels. Compared with the above indicators, soil porosity and organic matter increased post-fire, but gradually decreased over time. Soil clay, geometric mean diameter, and total potassium were included in the MDS. The SQI was ranked as unburned > 3 years > 2 years > 1 year > 6 months. The SQI was significantly (p = 0.001) reduced six months post-fire by an average of 36%, and, after three years of recovery, the soil quality of the post-fire areas could be restored to 81% of soil in unburned areas. Apparently, high-severity fires caused changes in soil properties, thereby significantly decreasing soil quality. Soil quality gradually improved with increasing restoration time. However, the complete recovery of soil quality post-fire in forest land in the dry/warm river valley will take a longer time. Full article
(This article belongs to the Special Issue Influence of Environmental Changes on Forest Soil Quality and Health)
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<p>Location of the study and fire site.</p>
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<p>Before and after fire comparison ((<b>a</b>): pre-fire, (<b>b</b>): post-fire).</p>
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<p>Different recovery periods of burned areas ((<b>a</b>): six months, (<b>b</b>): 1 year, (<b>c</b>): 2 years, (<b>d</b>): 3 years).</p>
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<p>Correlation among soil quality evaluation indexes. Note: Clay—clay content; Silt—silt content; Sand—sand content; BD—bulk density; POR—porosity; MWD—mean weight diameter; GMD—geometric mean diameter; TN—total nitrogen; TP—total phosphorus; TK—total potassium; SOM—soil organic matter.</p>
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<p>SQI of unburned and burned areas with different restoration years (UB—unburned; T0—6 months after fire; T1—1 year after fire; T2—2 years after fire; T3—3 years after fire). Different lowercase letters were significantly different (<span class="html-italic">p</span> &lt; 0.05). Note: SQI-LT-A—the linear scoring additive TDS; SQI-LT-W—the linear scoring weighted additive; SQI-LM-A—the linear scoring additive MDS; SQI-LM-W—the linear scoring weighted additive; SQI-NLT-A—the nonlinear scoring additive TDS; SQI-NLT-W—the nonlinear scoring weighted additive; SQI-NLM-A—the nonlinear scoring additive MDS; SQI-NLM-W—the nonlinear scoring weighted additive.</p>
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<p>Relationship between TDS and MDS of SQI based on two scoring methods. MAE—mean absolute error; SEE—standard error of estimate.</p>
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22 pages, 15025 KiB  
Article
The Coupling Coordination Degree and Its Driving Factors for Water–Energy–Food Resources in the Yellow River Irrigation Area of Shandong Province
by Wei Zhang, Chang Liu, Lingqi Li, Enhui Jiang and Hongjun Zhao
Sustainability 2024, 16(19), 8473; https://doi.org/10.3390/su16198473 (registering DOI) - 29 Sep 2024
Abstract
Water resources, energy, and food are essential for the development of society, and they are strongly interdependent. The coupling and coordination relationships of the water–energy–food (WEF) system are important for regional resource security and high-quality development. The Yellow River Irrigation Area in Shandong [...] Read more.
Water resources, energy, and food are essential for the development of society, and they are strongly interdependent. The coupling and coordination relationships of the water–energy–food (WEF) system are important for regional resource security and high-quality development. The Yellow River Irrigation Area in Shandong Province, China, is a grain production base and has a substantial impact on national food security. To examine the water, energy, and food subsystem dynamics in this area, an evaluation system for the WEF system was established. A comprehensive weighting method based on game theory was employed to determine index weights. TOPSIS was used to assess the development level of the WEF system. A coupling coordination degree model was used to analyze the evolution of the coupling coordination degree of the WEF system from 2000 to 2020, and a GWR model was constructed to explore the spatial heterogeneity of its driving factors. The findings indicated that the development level of the WEF system in the study area was moderate, with a gradual upward trend. The coupling coordination degree fluctuated between 0.62 and 0.739. The GWR model revealed that temperature had an overall negative effect on the coupling coordination degree, with the greatest impact on the central irrigation area; the slope and NDVI had a negative effect, with increasing intensity from the southwest to the northeast; and rainfall had an overall positive effect, with the greatest impact on the irrigation area near the estuary in the northeast. Overall, the building area ratio had a negative effect on the coupling coordination degree, with exceptions in some areas. These research outcomes provide theoretical support for sustainable agricultural development in the Yellow River irrigation areas of Shandong Province and methodological reference data for studying collaborative resource utilization in irrigation regions. Full article
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<p>Yellow River irrigation areas in Shandong Province.</p>
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<p>Flowchart of the method for exploring the coupling and coordination relationships of the WEF system.</p>
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<p>Comparison of the combined weights of the evaluation indices of the WEF system.</p>
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<p>Trends in the comprehensive evaluation index for the WEF system.</p>
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<p>Comprehensive evaluation indices of 28 Yellow River irrigation areas in Shandong Province.</p>
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<p>Spatial distribution map of the coupling coordination degrees of the WEF system.</p>
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<p>Spatial heterogeneity of the driving factors.</p>
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12 pages, 2726 KiB  
Article
Asparagine Availability Is a Critical Limiting Factor for Infectious Spleen and Kidney Necrosis Virus Replication
by Baofu Ma, Fangying Li, Xiaozhe Fu, Xia Luo, Qiang Lin, Hongru Liang, Yinjie Niu and Ningqiu Li
Viruses 2024, 16(10), 1540; https://doi.org/10.3390/v16101540 (registering DOI) - 29 Sep 2024
Abstract
Infectious spleen and kidney necrosis virus (ISKNV) has brought huge economic loss to the aquaculture industry. Through interfering with the viral replication and proliferation process that depends on host cells, its pathogenicity can be effectively reduced. In this study, we investigated the role [...] Read more.
Infectious spleen and kidney necrosis virus (ISKNV) has brought huge economic loss to the aquaculture industry. Through interfering with the viral replication and proliferation process that depends on host cells, its pathogenicity can be effectively reduced. In this study, we investigated the role of asparagine metabolites in ISKNV proliferation. The results showed that ISKNV infection up-regulated the expression of some key enzymes of the asparagine metabolic pathway in Chinese perch brain (CPB) cells. These key enzymes, including glutamic oxaloacetic transaminase 1/2 (GOT1/2) and malate dehydrogenase1/2 (MDH1/2) associated with the malate-aspartate shuttle (MAS) pathway and asparagine synthetase (ASNS) involved in the asparagine biosynthesis pathway, were up-regulated during ISKNV replication and release stages. In addition, results showed that the production of ISKNV was significantly reduced by inhibiting the MAS pathway or reducing the expression of ASNS by 1.3-fold and 0.6-fold, respectively, indicating that asparagine was a critical limiting metabolite for ISKNV protein synthesis. Furthermore, when asparagine was added to the medium without glutamine, ISKNV copy number was restored to 92% of that in the complete medium, indicating that ISKNV could be fully rescued from the absence of glutamine by supplementing asparagine. The above results indicated that asparagine was a critical factor in limiting the effective replication of ISKNV, which provided a new idea for the treatment of aquatic viral diseases. Full article
(This article belongs to the Special Issue Iridoviruses, 2nd Edition)
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<p>ISKNV infection altered the MAS pathway in CPB cells. Transcript and protein levels of the key enzyme genes GOT1 (<b>A</b>), MDH1 (<b>B</b>), GOT2 (<b>C</b>), and MDH2 (<b>D</b>) in the MAS pathway, respectively. And hpi, hour post infection. * <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 (unpaired Student’s <span class="html-italic">t</span>-test); data are representative of three different independent experiments (mean ± SEM).</p>
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<p>ISKNV infection altered the asparagine biosynthesis pathway in CPB cells. Transcript (<b>A</b>) and protein (<b>B</b>,<b>C</b>) levels of the key enzyme gene ASNS in the asparagine biosynthesis pathway, respectively. And hpi, hour post infection; * <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 (unpaired Student’s <span class="html-italic">t</span>-test); data are representative of three different independent experiments (mean ± SEM).</p>
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<p>Inhibition of the MAS pathway affects ISKNV replication. (<b>A</b>) Cell viability of CPB cells treated with different concentrations of an AOAA for 72 h. (<b>B</b>) Effect of adding AOAA inhibitor on ISKNV virus production. (<b>C</b>,<b>D</b>) Effect of adding inhibitor AOAA on the expression of ISKNV viral proteins. And * <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 (unpaired Student’s <span class="html-italic">t</span>-test); data are representative of three different independent experiments (mean ± SEM).</p>
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<p>Effects of ASNS knockdown on ISKNV replication. (<b>A</b>,<b>B</b>) Effects of siASNS treatment on ASNS mRNA and protein expression in CPB cells. (<b>C</b>) Effects of siASNS treatment on ISKNV copy number in CPB cells. (<b>D</b>) Effects of siASNS treatment on ISKNV-MCP protein expression in CPB cells. And * <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 (unpaired Student’s <span class="html-italic">t</span>-test); data are representative of three different independent experiments (mean ± SEM).</p>
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<p>Asparagine recused ISKNV replication in glutamine depletion. (<b>A</b>) The copy number of ISKNV with different concentrations of asparagine. (<b>B</b>,<b>C</b>) The copy number of ISKNV in medium supplemented with 2 mM asparagine (Asn, N) and 2 mM glutamine (Gln, Q). (<b>D</b>) The expression levels of ISKNV-MCP protein in CPB cells in medium supplemented with 2 mM asparagine (Asn, N) medium. And * <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 (unpaired Student’s <span class="html-italic">t</span>-test); data are representative of three different independent experiments (mean ± SEM).</p>
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<p>Schematic illustration of the role of glutamine in the efficient replication of ISKNV in CPB cells.</p>
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14 pages, 6469 KiB  
Article
Genome-Wide Identification and Analysis of the WRKY Transcription Factor Family Associated with Leaf Senescence in Alfalfa
by Xiaojing Peng, Jinning Hu, Xiangxue Duan, Maofeng Chai, Jiangqi Wen, Zengyu Wang and Hongli Xie
Plants 2024, 13(19), 2725; https://doi.org/10.3390/plants13192725 (registering DOI) - 29 Sep 2024
Abstract
Leaves are the most significant parts of forage crops such as alfalfa. Senescence is the terminal stage of leaf development and is controlled by an integrated myriad of endogenous signals and environmental stimuli. WRKY transcription factors (TFs) play essential roles in regulating leaf [...] Read more.
Leaves are the most significant parts of forage crops such as alfalfa. Senescence is the terminal stage of leaf development and is controlled by an integrated myriad of endogenous signals and environmental stimuli. WRKY transcription factors (TFs) play essential roles in regulating leaf senescence; however, only a few studies on the analysis and identification of the WRKY TF family in Medicago Sativa have been reported. In this study, we identified 198 WRKY family members from the alfalfa (M. sativa L.) cultivar ’XinjiangDaye’ using phylogenetic analysis and categorized them into three subfamilies, Groups I, II, and III, based on their structural characteristics. Group II members were further divided into five subclasses. In addition, several hormone- and stress-related cis-acting elements were identified in the promoter regions of MsWRKYs. Furthermore, 14 aging-related MsWRKYs genes from a previous transcriptome in our laboratory were selected for RT-qPCR validation of their expression patterns, and subsequently cloned for overexpression examination. Finally, MsWRKY5, MsWRKY66, MsWRKY92, and MsWRKY141 were confirmed to cause leaf yellowing in Nicotiana benthaminana using a transient expression system. Our findings lay a groundwork for further studies on the mechanism of M. sativa leaf aging and for the creation of new germplasm resources. Full article
(This article belongs to the Special Issue Abiotic and Biotic Stress of the Crops and Horticultural Plants)
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<p>A neighbor-joining phylogenetic tree was constructed using MEGA11.0 software with 1000 boot-strap replications, by comparing WRKY TFs from <span class="html-italic">M. sativa</span> L. (Ms) and <span class="html-italic">Arabidopsis thaliana</span> (At). Various highlighted colors correspond to the different subgroups.</p>
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<p>Analysis of phylogenetic relationships, motifs, and gene structure of WRKY TFs from <span class="html-italic">M. sativa</span>. (<b>a</b>) Phylogenetic tree of 198 MsWRKYs in <span class="html-italic">M. sativa</span>. The colors highlighted the different subgroups are same as that in <a href="#plants-13-02725-f001" class="html-fig">Figure 1</a>. (<b>b</b>) Conserved motif arrangements of MsWRKYs. The motifs are highlighted in various colored boxes. Motif 1 represents the WRKY domain. (<b>c</b>) Exon-intron organizations of <span class="html-italic">MsWRKYs</span>. Green boxes indicate exons; black lines indicate introns.</p>
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<p>The 2 kb promoter sequences of the <span class="html-italic">MsWRKY</span> gene contain various <span class="html-italic">cis</span>-acting elements. Different colored rectangles indicate different <span class="html-italic">cis</span>-elements, positioned according to their locations within the promoters.</p>
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<p>A heatmap displaying the RNA−Seq data for 198 <span class="html-italic">MsWRKYs</span>, with expression levels normalized by row using the Z−Scores algorithm. The color scale on the right of the heatmap shows relative expression, with the color gradient from blue to red indicating increased expression levels. X0 (top not fully unfolded leaf), X1 (top fully unfolded first leaf), X2 (top fully unfolded second leaf), X3 (top fully unfolded third leaf), X4 (bottom leaf with senescent symptom); D0, D1, D2, D4, D6 (leaves treated in the dark for 0, 1, 2, 4 and 6 days); S1, S2, S4, S6 (leaves treated with salt for 1, 2, 4 and 6 days). Fourteen genes selected for RT-qPCR were labeled with an asterisk.</p>
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<p>RT-qPCR results of 14 <span class="html-italic">MsWRKYs</span> in the process of leaf senescence under (<b>a</b>) natural condition (X0, X1, X2, X3, X4 represent different stages of leaf development), (<b>b</b>) dark stress (D0, D1, D2, D4, D6 represent 0, 1, 2, 4, and 6 days of dark treatment), (<b>c</b>) salt stress (S1, S2, S4, S6 represent 1, 2, 4, and 6 days of the 150 mM NaCl treatment). The error bars indicate the standard deviation of three biological replicates. Relative expression was calculated using the 2<sup>–ΔCT</sup> method. The data for gene expression are presented as the mean ± SD and were analyzed to detect significant differences by ANOVA using GraphPad Prism 8 (NS: not significant; * <span class="html-italic">p</span> &lt; 0.05; ** <span class="html-italic">p</span> &lt; 0.01) against D0 or X0.</p>
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<p>Functional validation of selected <span class="html-italic">MsWRKYs</span> was conducted using an <span class="html-italic">Agrobacterium</span>-mediated transient expression assay. Symptoms of leaf senescence in representative <span class="html-italic">Nicotiana benthamiana</span> leaves appeared after infiltration with various constructs encoding <span class="html-italic">MsWRKY5</span>, <span class="html-italic">MsWRKY66</span>, <span class="html-italic">MsWRKY92</span>, <span class="html-italic">MsWRKY141</span>, <span class="html-italic">MsSGR</span> and an empty vector with YFP. Positive control: SGR. Negative control: empty vector with YFP. Bar = 1 cm.</p>
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