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Editor’s Choice Articles

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

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22 pages, 3482 KB  
Review
Occurrence, Risks, and Removal Methods of Antibiotics in Urban Wastewater Treatment Systems: A Review
by Liping Zhu, Xiaohu Lin, Zichen Di, Fangqin Cheng and Jingcheng Xu
Water 2024, 16(23), 3428; https://doi.org/10.3390/w16233428 - 28 Nov 2024
Cited by 19 | Viewed by 5844
Abstract
Antibiotics, widely used pharmaceuticals, enter wastewater treatment systems and ultimately the aquatic environment through the discharge of wastewater from residential areas, hospitals, breeding farms, and pharmaceutical factories, posing potential ecological and health risks. Due to the misuse and discharge of antibiotics, the spread [...] Read more.
Antibiotics, widely used pharmaceuticals, enter wastewater treatment systems and ultimately the aquatic environment through the discharge of wastewater from residential areas, hospitals, breeding farms, and pharmaceutical factories, posing potential ecological and health risks. Due to the misuse and discharge of antibiotics, the spread of antibiotic resistance genes (ARGs) in water bodies and significant changes in microbial community structure have direct toxic effects on aquatic ecosystems and human health. This paper summarizes the occurrence of antibiotics in wastewater treatment systems and their ecological and health risks, focusing on the impact of antibiotics on aquatic microorganisms, aquatic plants and animals, and human health. It points out that existing wastewater treatment processes have poor removal capabilities for antibiotics and even become an important pathway for the spread of some antibiotics. In terms of detection technology, the article discusses the application of immunoassays, instrumental analysis, and emerging sensor technologies in detecting antibiotics in sewage, each with its advantages and limitations. Future efforts should combine multiple technologies to improve detection accuracy. Regarding the removal methods of antibiotics, the paper categorizes physical, chemical, and biodegradation methods, introducing various advanced technologies including membrane separation, adsorption, electrochemical oxidation, photocatalytic oxidation, and membrane bioreactors. Although these methods have shown good removal effects in the laboratory, there are still many limitations in large-scale practical applications. This paper innovatively takes urban wastewater treatment systems as the entry point, systematically integrating the sources of antibiotics, environmental risks, detection technologies, and treatment methods, providing targeted and practical theoretical support and technical guidance, especially in the removal of antibiotics in wastewater treatment, on a scientific basis. Future efforts should strengthen the control of antibiotic sources, improve the efficiency of wastewater treatment, optimize detection technologies, and promote the formulation and implementation of relevant laws and standards to more effectively manage and control antibiotic pollution in the aquatic environment. Full article
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37 pages, 9617 KB  
Review
The Importance of Measuring Soil Erosion by Water at the Field Scale: A Review
by Alessio Nicosia, Francesco Giuseppe Carollo, Costanza Di Stefano, Vincenzo Palmeri, Vincenzo Pampalone, Maria Angela Serio, Vincenzo Bagarello and Vito Ferro
Water 2024, 16(23), 3427; https://doi.org/10.3390/w16233427 - 28 Nov 2024
Cited by 6 | Viewed by 3739
Abstract
Water erosion is a significant global threat due to the high soil loss rate and all its consequent implications. Technologies to predict erosion are strongly related to measurements and vice versa. Measurements can simply provide empirical evidence of the erosion process and are [...] Read more.
Water erosion is a significant global threat due to the high soil loss rate and all its consequent implications. Technologies to predict erosion are strongly related to measurements and vice versa. Measurements can simply provide empirical evidence of the erosion process and are hard to extrapolate in time and space. Measurements were used to develop some erosion models, such as the Universal Soil Loss Equation (USLE), and also for their calibration and validation. Several measurement techniques are used to collect soil erosion data at different spatial and temporal scales, but they cannot be considered fully accurate in any experimental condition. Each technique exhibits advantages and disadvantages, so extensive knowledge of their feasibility, accuracy, and limitations is required to correctly plan experiments and use the performed measurements. In this paper, recent scientific developments on the measurement of rainfall erosivity, soil loss at the plot scale, and rill and gully erosion using close-range photogrammetry are presented. Further considerations are made on the quality of soil erosion measurements and the usefulness and importance of measuring plot soil loss. Our critical analysis highlighted that the techniques reported in the literature are a solid basis, which, however, should be developed to improve their range of applicability and data quality. Full article
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18 pages, 2656 KB  
Article
Spatial Distribution of Calanoida in Freshwater Ecosystems and Their Application as a Food Web Assessment Index
by Yerim Choi, Geun-Hyeok Hong, Geung-Hwan La, Hyun-Woo Kim, Moo Seong Kim, Min-Ho Jang, Kwang-Hyeon Chang and Hye-Ji Oh
Water 2024, 16(23), 3414; https://doi.org/10.3390/w16233414 - 27 Nov 2024
Cited by 4 | Viewed by 1207
Abstract
Calanoida is a representative oligo-mesotrophic indicator species, frequently used as an index for assessing lake ecosystems’ health. Additionally, they function as trophic intermediates in the food web, connecting primary producers and higher consumers within lake ecosystems’ food chains. However, research cases that present [...] Read more.
Calanoida is a representative oligo-mesotrophic indicator species, frequently used as an index for assessing lake ecosystems’ health. Additionally, they function as trophic intermediates in the food web, connecting primary producers and higher consumers within lake ecosystems’ food chains. However, research cases that present the implications of habitat environment assessments, such as ecosystem structure and water quality, represented by these taxa remain insufficient. In this study, we conducted research across 49 lakes in South Korea, analyzing the occurrence characteristics of Calanoida and examining the correlations between Calanoida abundance and water quality parameters and the morphological-based functional groups of phytoplankton. Calanoida were more frequently observed in lakes characterized by greater size, increased depth, and reduced levels of anthropogenic land use. Furthermore, Calanoida occurrence was more probable in environments characterized by lower electrical conductivity and suspended solids concentrations. Their presence was also associated with conditions where Large mucilaginous phytoplankton (MBFG7), which includes cyanobacteria, and Large filamentous phytoplankton (MBFG3) were prevalent. An analysis of the environmental factors influencing the increase in Calanoida abundance revealed an inverse relationship between their abundance and water quality factors, including nutrient levels. This trend was observed consistently across all genera. Additionally, Calanoida were observed to maintain a high abundance in environments where the presence of the Large mucilaginous phytoplankton group (MBFG7) was relatively high. In contrast, Cyclopoida exhibited varying occurrence characteristics by genus in response to different water quality factors. Based on these results, we suggest that Calanoida, commonly used as an indicator of mesotrophic conditions, can also serve as a valuable indicator for evaluating the functionality of the food web. While Calanoida struggle to inhabit environments characterized by degraded water quality, they demonstrate the ability to adapt and persist in environments containing large, mucilaginous, or filamentous phytoplankton species that are typically challenging for other zooplankton to graze. Full article
(This article belongs to the Section Ecohydrology)
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21 pages, 814 KB  
Review
Aquatic Fungi as Bioindicators of Freshwater Ecosystems
by Juliana Barros, Sarra Ben Tanfous and Sahadevan Seena
Water 2024, 16(23), 3404; https://doi.org/10.3390/w16233404 - 26 Nov 2024
Cited by 2 | Viewed by 3513
Abstract
Aquatic fungi, especially aquatic hyphomycetes, are promising bioindicators for assessing the health and integrity of freshwater ecosystems. Their sensitivity to a wide range of environmental stressors, coupled with their essential roles in ecological processes such as organic matter decomposition and nutrient cycling, establish [...] Read more.
Aquatic fungi, especially aquatic hyphomycetes, are promising bioindicators for assessing the health and integrity of freshwater ecosystems. Their sensitivity to a wide range of environmental stressors, coupled with their essential roles in ecological processes such as organic matter decomposition and nutrient cycling, establish them as important tools for monitoring ecological disturbances. By examining aquatic fungal responses at various biological levels—from molecular mechanisms to ecosystem dynamics—ecologists are able to uncover valuable information about the functioning of freshwater habitats. Despite challenges such as the complexity of fungal communities and knowledge gaps, the prospects for using aquatic fungi as bioindicators are encouraging. Advancing research and technological innovations are expected to refine our understanding of the ecological roles of aquatic fungi and enhance their use in detecting impacts on freshwater ecosystems. The inclusion of these organisms in environmental monitoring programmes alongside other bioindicators could significantly improve our ability to detect and mitigate the effects of both natural and anthropogenic environmental changes, leading to more effective conservation strategies. Full article
(This article belongs to the Special Issue Freshwater Species: Status, Monitoring and Assessment)
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26 pages, 4845 KB  
Article
The Pyrolysis of Biosolids in a Novel Closed Coupled Pyrolysis and Gasification Technology: Pilot Plant Trials, Aspen Plus Modelling, and a Techno-Economic Analysis
by Nimesha Rathnayake, Savankumar Patel, Ibrahim Gbolahan Hakeem, Ganesh Veluswamy, Ibrahim Al-Waili, Shivani Agnihotri, Arun Krishna Vuppaladadiyam, Aravind Surapaneni, David Bergmann and Kalpit Shah
Water 2024, 16(23), 3399; https://doi.org/10.3390/w16233399 - 26 Nov 2024
Cited by 8 | Viewed by 3422
Abstract
Pyrolysis is gaining recognition as a sustainable solution for biosolid management, though scaling it commercially presents challenges. To address this, RMIT developed a novel integrated pyrolysis and gasification technology called PYROCO™, which was successfully tested in pilot-scale trials. This study introduces PYROCO™ and [...] Read more.
Pyrolysis is gaining recognition as a sustainable solution for biosolid management, though scaling it commercially presents challenges. To address this, RMIT developed a novel integrated pyrolysis and gasification technology called PYROCO™, which was successfully tested in pilot-scale trials. This study introduces PYROCO™ and its application to produce biochar, highlighting the biochar properties of the results of the initial trials. In addition, an energy analysis using semi-empirical Aspen Plus modelling, paired with a preliminary techno-economic assessment, was carried out to evaluate the feasibility of this technology. The results show that the PYROCO™ pilot plant produced biochar with a ~30 wt% yield, featuring beneficial agronomic properties such as high organic carbon (210–220 g/kg) and nutrient contents (total P: 36–42 g/kg and total N: 16–18 g/kg). The system also effectively removed contaminants such as PFASs, PAHs, pharmaceuticals, and microplastics from the biochar and scrubber water and stack gas emissions. An energy analysis and Aspen Plus modelling showed that a commercial-scale PYROCO™ plant could operate energy self-sufficiently with biosolids containing >30% solids and with a minimum calorific value of 11 MJ/kg. The process generates excess energy for drying biosolids and for electricity generation. Profitability is sensitive to biochar price; prices rise from AUD 300 to AUD 1000 per tonne, the NPV improves from AUD 0.24 million to AUD 4.31 million, and the payback period shortens from 26 to 12 years. The low NPV and high payback period reflect the use of a relatively high discount rate of 8%, chosen to be on the conservative side given the novel nature of the technology. Full article
(This article belongs to the Special Issue Advanced Biotechnologies for Water and Wastewater Treatment)
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19 pages, 2662 KB  
Article
Deep Reinforcement Learning for Multi-Objective Real-Time Pump Operation in Rainwater Pumping Stations
by Jin-Gul Joo, In-Seon Jeong and Seung-Ho Kang
Water 2024, 16(23), 3398; https://doi.org/10.3390/w16233398 - 26 Nov 2024
Cited by 5 | Viewed by 2023
Abstract
Rainwater pumping stations located near urban centers or agricultural areas help prevent flooding by activating an appropriate number of pumps with varying capacities based on real-time rainwater inflow. However, relying solely on rule-based pump operations that monitor only basin water levels is often [...] Read more.
Rainwater pumping stations located near urban centers or agricultural areas help prevent flooding by activating an appropriate number of pumps with varying capacities based on real-time rainwater inflow. However, relying solely on rule-based pump operations that monitor only basin water levels is often insufficient for effective control. In addition to maintaining a low maximum water level to prevent flooding, pump operation at rainwater stations also requires minimizing the number of pump on/off switches. Reducing pump switch frequency lowers the likelihood of mechanical failure and thus decreases maintenance costs. This paper proposes a real-time pump operation method for rainwater pumping stations using Deep Reinforcement Learning (DRL) to meet these operational requirements simultaneously, based only on currently observable information such as rainfall, inflow, storage volume, basin water level, and outflow. Simulated rainfall data with various return periods and durations were generated using the Huff method to train the model. The Storm Water Management Model (SWMM), configured to simulate the Gasan rainwater pumping station located in Geumcheon-gu, Seoul, South Korea, was used to conduct experiments. The performance of the proposed DRL model was then compared with that of the rule-based pump operation currently used at the station. Full article
(This article belongs to the Section Urban Water Management)
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16 pages, 7087 KB  
Article
Hydrochar Loaded with Nitrogen-Containing Functional Groups for Versatile Removal of Cationic and Anionic Dyes and Aqueous Heavy Metals
by Yue Zhang, Yongshan Wan, Yulin Zheng, Yicheng Yang, Jinsheng Huang, Hao Chen, Jianjun Chen, Ahmed Mosa and Bin Gao
Water 2024, 16(23), 3387; https://doi.org/10.3390/w16233387 - 25 Nov 2024
Cited by 3 | Viewed by 2021
Abstract
Developing novel sorbents for effective removal of heavy metals and organic dyes from industrial wastewater remains a central theme for water research. We modified hydrochar derived from the hydrothermal carbonization of wheat straw at 180 °C with 3-Aminopropyl triethoxysilane (APTES) to enhance its [...] Read more.
Developing novel sorbents for effective removal of heavy metals and organic dyes from industrial wastewater remains a central theme for water research. We modified hydrochar derived from the hydrothermal carbonization of wheat straw at 180 °C with 3-Aminopropyl triethoxysilane (APTES) to enhance its versatile adsorption of Pb(II), Cu(II), methylene blue (MB), and reactive red (Red). Pristine and modified hydrochar (HyC and APTES-HyC) were characterized and tested for sorption performance. Characterization results revealed an enriched presence of N-functional groups, mainly -NH2 and C-N, on APTES-HyC, in addition to an increased specific surface area from 1.14 m2/g (HyC) to 4.51 m2/g. APTES-HyC exhibited a faster adsorption rate than HyC, reaching equilibrium approximately 4 h after initiation. The Langmuir adsorption capacities of APTES-HyC were 49.6, 14.8, 31.7, and 18.3 mg/g for Pb(II), Cu(II), MB, and Red, respectively, about 8.5, 5.0, 1.3, and 9.5 times higher than for HyC. The enhanced adsorption performance of APTES-HyC is attributed to the increased N-functional groups, which facilitated adsorption mechanisms specific to the pollutant of concern such as formation of frustrated Lewis pairs and cation–π interactions for metal ions and π–π interactions and hydrogen bond for dyes. This study offers a novel and facile approach to the synthesis of N-doped carbon materials for practical applications. Full article
(This article belongs to the Section Wastewater Treatment and Reuse)
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22 pages, 2118 KB  
Review
Interactions Between Forest Cover and Watershed Hydrology: A Conceptual Meta-Analysis
by Mathurin François, Terencio Rebello de Aguiar, Jr., Marcelo Schramm Mielke, Alain N. Rousseau, Deborah Faria and Eduardo Mariano-Neto
Water 2024, 16(23), 3350; https://doi.org/10.3390/w16233350 - 21 Nov 2024
Cited by 6 | Viewed by 5869
Abstract
The role of trees in watershed hydrology is governed by many environmental factors along with their inherent characteristics and not surprisingly has generated diverse debates in the literature. Herein, this conceptual meta-analysis provides an opportunity to propose a conceptual model for understanding the [...] Read more.
The role of trees in watershed hydrology is governed by many environmental factors along with their inherent characteristics and not surprisingly has generated diverse debates in the literature. Herein, this conceptual meta-analysis provides an opportunity to propose a conceptual model for understanding the role of trees in watershed hydrology and examine the conditions under which they can be an element that increases or decreases water supply in a watershed. To achieve this goal, this conceptual meta-analysis addressed the interaction of forest cover with climatic conditions, soil types, infiltration, siltation and erosion, water availability, and the diversity of ecological features. The novelty of the proposed conceptual model highlights that tree species and densities, climate, precipitation, type of aquifer, and topography are important factors affecting the relationships between trees and water availability. This suggests that forests can be used as a nature-based solution for conserving and managing natural resources, including water, soil, and air. To sum up, forests can reduce people’s footprint, thanks to their role in improving water and air quality, conserving soil, and other ecosystem services. The outcomes of this study should be valuable for decision-makers in understanding the types of forests that can be used in an area, following an approach of environmental sustainability and conservation aiming at restoring hydrological services, mitigating the costs of environmental services, promoting sustainable land use, managing water resources, and preserving and restoring soil water availability (SWA) when investing in reforestation for watershed hydrology, which is important for the human population and other activities. Full article
(This article belongs to the Special Issue Soil Dynamics and Water Resource Management)
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13 pages, 3260 KB  
Article
Reconstruction of Surface Water Temperature in Lakes as a Source for Long-Term Analysis of Its Changes
by Mariusz Sojka and Mariusz Ptak
Water 2024, 16(23), 3347; https://doi.org/10.3390/w16233347 - 21 Nov 2024
Cited by 1 | Viewed by 1308
Abstract
One of the key parameters of lakes is water temperature, which influences many physical and biochemical processes. In Poland, in situ temperature measurements are or have been conducted in only about 30 lakes, whereas there are over 3000 lakes with an area larger [...] Read more.
One of the key parameters of lakes is water temperature, which influences many physical and biochemical processes. In Poland, in situ temperature measurements are or have been conducted in only about 30 lakes, whereas there are over 3000 lakes with an area larger than 10 hectares. In many cases, the length of existing observation series is not always sufficient for long-term analysis. Using artificial neural networks of the multilayer perceptron network (MLP) type, the reconstruction of average monthly water temperatures was carried out for nine lakes located in northern Poland. During the validation stage of the reconstruction results, BIAS values were obtained in the range of −0.33 to 0.44 °C, the mean absolute error was 0.46 °C, and the root mean square error was 0.61 °C. The high quality of the reconstructed data allowed for an assessment of water temperature changes in the analyzed lakes from 1993 to 2022 using the Mann–Kendall and Sen tests. It was found that, on an annual basis, the water temperature increased by an average of 0.50 °C per decade, ranging from 0.36 °C per decade to 0.64 °C per decade for individual lakes. For specific months, the largest increase was observed in November, about 0.99 °C per decade, and the smallest in May, 0.07 °C per decade. The obtained results confirm previous studies in this field while adding new data from lakes, which are particularly significant for the western part of Poland—a region with a previously limited number of monitored lakes. According to the findings, the analyzed lakes have undergone significant warming over the past three decades, which is important information for water management authorities. Full article
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57 pages, 3124 KB  
Review
An Extensive Review of Leaching Models for the Forecasting and Integrated Management of Surface and Groundwater Quality
by Stephanos D. V. Giakoumatos, Christina Siontorou and Dimitrios Sidiras
Water 2024, 16(23), 3348; https://doi.org/10.3390/w16233348 - 21 Nov 2024
Cited by 5 | Viewed by 4839
Abstract
The present study reviews leachate models useful for proactive and rehab actions to safeguard surface and subsurface soft water, which have become even more scarce. Integrated management plans of water basins are of crucial importance since intensively cultivated areas are adding huge quantities [...] Read more.
The present study reviews leachate models useful for proactive and rehab actions to safeguard surface and subsurface soft water, which have become even more scarce. Integrated management plans of water basins are of crucial importance since intensively cultivated areas are adding huge quantities of fertilizers to the soil, affecting surface water basins and groundwater. Aquifers are progressively being nitrified on account of the nitrogen-based fertilizer surplus, rendering water for human consumption not potable. Well-tested solute leaching models, standalone or part of a model package, provide rapid site-specific estimates of the leaching potential of chemical agents, mostly nitrates, below the root zone of crops and the impact of leaching toward groundwater. Most of the models examined were process-based or conceptual approaches. Nonetheless, empirical prediction models, though rather simplistic and therefore not preferrable, demonstrate certain advantages, such as less demanding extensive calibration database information requirements, which in many cases are unavailable, not to mention a stochastic approach and the involvement of artificial intelligence (AI). Models were categorized according to the porous medium and agents to be monitored. Integrated packages of nutrient models are irreplaceable elements for extensive catchments to monitor the terrestrial nitrogen-balanced cycle and to contribute to policy making as regards soft water management. Full article
(This article belongs to the Special Issue Soil-Groundwater Pollution Investigations)
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20 pages, 8256 KB  
Article
Optimization of Real-Time Control Approach: Number, Placement, and Proportional–Integral–Derivative Control Rules of Flow Control Devices in Distributed Flood Routing
by Hamidreza Jalili, Lizette Chevalier and John W. Nicklow
Water 2024, 16(22), 3331; https://doi.org/10.3390/w16223331 - 20 Nov 2024
Cited by 3 | Viewed by 1425
Abstract
Climate change, through more frequent extreme weather events, and urban sprawl, by increasing runoff, are two critical threats to drainage networks, impacting both public health and property. Augmenting drainage networks to withstand additional stress by enlarging conduits or constructing new detention facilities requires [...] Read more.
Climate change, through more frequent extreme weather events, and urban sprawl, by increasing runoff, are two critical threats to drainage networks, impacting both public health and property. Augmenting drainage networks to withstand additional stress by enlarging conduits or constructing new detention facilities requires a significant financial investment. The goal of this study is to enhance urban resilience by optimizing real-time control (RTC) systems for drainage networks that optimize the flow control devices (FCDs), which could mitigate the need to invest in major construction costs. RTC is an approach that can help mitigate flooding in urban areas. This study is the first to optimize feedback controllers in SWMM, as well as the first to simultaneously optimize the number, location, and proportional–integral–derivative (PID) controllers for FCDs through two nested genetic algorithms (GAs), and especially within a unified environment (i.e., Python), which led to more efficient management of the process, thereby enhancing the efficiency of urban drainage network optimization. This study examined the impact of optimized RTC on the urban drainage network (UDN) in a part of New Orleans, LA, USA, under 1-, 2-, 5-, and 10-year storm events. The optimized RTC resulted in an improvement of up to 50% in network performance during a design storm. The results demonstrate the applicability in an urban environment where storms, flooding, and financial investments are critical to the management of stormwater drainage. Full article
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16 pages, 4635 KB  
Article
Impacts of Drought Severity and Frequency on Natural Vegetation Across Iran
by Atefeh Torkaman Pary, Pejvak Rastgoo, Christian Opp, Dirk Zeuss and Temesgen Alemayehu Abera
Water 2024, 16(22), 3334; https://doi.org/10.3390/w16223334 - 20 Nov 2024
Cited by 5 | Viewed by 2260
Abstract
Drought recurrence is increasing in arid and semi-arid regions, and its effects are becoming more complicated due to climate change. Despite the increasing frequency of drought events, the sensitivity of natural vegetation to different levels of drought frequency and severity is not fully [...] Read more.
Drought recurrence is increasing in arid and semi-arid regions, and its effects are becoming more complicated due to climate change. Despite the increasing frequency of drought events, the sensitivity of natural vegetation to different levels of drought frequency and severity is not fully understood. Here, we aim to characterize the regional spatio-temporal patterns of drought frequency and severity and the response of vegetation across Iran at a high spatial resolution (5 km × 5 km). We examined the responses of three natural vegetation types (forest, grassland, and shrubland) to drought conditions across Iran using the Normalized Difference Vegetation Index (NDVI) and the Standardized Precipitation Evapotranspiration Index (SPEI) at different time scales and temporal lags from 2001 to 2022. Our results showed that drought severity increased in 15%, decreased in 1%, and remained stable in 84% of the study area. The severity and frequency of drought showed spatial patterns across Iran (i.e., increased from northwest to southeast and central Iran). The correlation between the monthly NDVI anomaly and SPEI varied across vegetation types, SPEI accumulation period (SPEI-1-3-6-9-12), and temporal lags, revealing different sensitivities of vegetation to drought in Iran. All natural vegetation types showed the strongest responses two months after drought events. Forests, mostly located in northern Iran, showed lower sensitivity to drought onset and responded slower to drought severity than other vegetation classes (i.e., grasslands and shrublands). These findings highlight the importance of analyzing the sensitivity of natural vegetation at different levels of drought severity and frequency for land use planning and mitigation efforts. Full article
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15 pages, 5207 KB  
Article
Threshold Ranges of Multiphase Components from Natural Ice CT Images Based on Watershed Algorithm
by Shengbo Hu, Qingkai Wang, Chunjiang Li and Zhijun Li
Water 2024, 16(22), 3330; https://doi.org/10.3390/w16223330 - 19 Nov 2024
Viewed by 977
Abstract
The multiphase components of natural ice contain gas, ice, unfrozen water, sediment and brine. X-ray computed tomography (CT) analysis of ice multiphase components has the advantage of high precision, non-destructiveness and visualization; however, it is limited by the segmentation thresholds. Due to the [...] Read more.
The multiphase components of natural ice contain gas, ice, unfrozen water, sediment and brine. X-ray computed tomography (CT) analysis of ice multiphase components has the advantage of high precision, non-destructiveness and visualization; however, it is limited by the segmentation thresholds. Due to the proximity of the CT value ranges of gas, ice, unfrozen water, sediment and brine within the samples, there is uncertainty in the artificial determination of the CT image segmentation thresholds, as well as unsuitability of the global threshold segmentation methods. In order to improve the accuracy of multi-threshold segmentation in CT images, a CT system was used to scan the Yellow River ice, the Wuliangsuhai lake ice and the Arctic sea ice. The threshold ranges of multiphase components within the ice were determined by watershed algorithm to construct a high-precision three-dimensional ice model. The results indicated that CT combined with watershed algorithm was an efficient and non-destructive method for obtaining microscopic information within ice, which accurately segmented the ice into multiphase components such as gas, ice, unfrozen water, sediment, and brine. The gas CT values of the Yellow River ice, the Wuliangsuhai lake ice and the Arctic sea ice ranged from −1024 Hu~−107 Hu, −1024 Hu~−103 Hu, and −1024 Hu~−160 Hu, respectively. The ice CT values of the Yellow River ice, the Wuliangsuhai lake ice and the Arctic sea ice ranged from −103 Hu~−50 Hu, −100 Hu~−38 Hu, −153 Hu~−51 Hu. The unfrozen water CT values of the Yellow River ice and the Wuliangsuhai lake ice ranged from −8 Hu~18 Hu, −8 Hu~13 Hu. The sediment CT values of the Yellow River ice and the Wuliangsuhai lake ice ranged from 20 Hu~3071 Hu, 20 Hu~3071 Hu, and the brine CT values of the Arctic sea ice ranged from −6 Hu~3071 Hu. The errors between the three-dimensional ice model divided by threshold ranges and measured sediment content were less than 0.003 g/cm3, which verified the high accuracy of the established microscopic model. It provided a scientific basis for ice engineering, ice remote sensing, and ice disaster prevention. Full article
(This article belongs to the Special Issue Ice and Snow Properties and Their Applications)
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17 pages, 6037 KB  
Article
The Impact of Storm Sewer Network Simplification and Rainfall Runoff Methods on Urban Flood Analysis
by Sang-Bo Sim and Hyung-Jun Kim
Water 2024, 16(22), 3307; https://doi.org/10.3390/w16223307 - 18 Nov 2024
Cited by 3 | Viewed by 1565
Abstract
Due to the impact of climate change, the importance of urban flood analysis is increasing. One of the biggest challenges in urban flood simulations is the complexity of storm sewer networks, which significantly affects both computational time and accuracy. This study aimed to [...] Read more.
Due to the impact of climate change, the importance of urban flood analysis is increasing. One of the biggest challenges in urban flood simulations is the complexity of storm sewer networks, which significantly affects both computational time and accuracy. This study aimed to analyze and evaluate the impact of sewer network simplification on the accuracy and computational performance of urban flood prediction by comparing different rainfall runoff methods. Using the hyper-connected solution for urban flood (HC-SURF) model, two rainfall runoff methods, the SWMM Runoff method and the Surface Runoff method, were compared. The sewer network simplification was applied based on manhole catchment areas ranging from 10 m2 to 10,000 m2. The analysis showed that the computation time could be reduced by up to 54.5% through simplification, though some accuracy loss may occur depending on the chosen runoff method. Overall, both methods produced excellent results in terms of mass balance, but the SWMM Runoff method minimized the reduction in analytical performance due to simplification. This study provides important insights into balancing computational efficiency and model accuracy in urban flood analysis. Full article
(This article belongs to the Section Hydrology)
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21 pages, 7451 KB  
Article
Integrated Subsurface Hydrologic Modeling for Agricultural Management Using HYDRUS and UZF Package Coupled with MODFLOW
by Efthymios Chrysanthopoulos, Martha Perdikaki, Konstantinos Markantonis and Andreas Kallioras
Water 2024, 16(22), 3297; https://doi.org/10.3390/w16223297 - 17 Nov 2024
Cited by 3 | Viewed by 1893
Abstract
The present work aims to compare two different subsurface hydrological models, namely HYDRUS and MODFLOW UZF package, in terms of groundwater recharge; thus, both models were coupled with MODFLOW. The study area is an experimental kiwifruit orchard located in the Arta plain in [...] Read more.
The present work aims to compare two different subsurface hydrological models, namely HYDRUS and MODFLOW UZF package, in terms of groundwater recharge; thus, both models were coupled with MODFLOW. The study area is an experimental kiwifruit orchard located in the Arta plain in the Epirus region of Greece. A novel conceptual framework is introduced in order to (i) use in situ and laboratory measurements to estimate parameter values for both sub-surface flow models; (ii) couple the developed models with MODFLOW to estimate groundwater recharge; and (iii) compare and evaluate the performance of both approaches, with differences stemming from the distinctive equations describing the flow in the unsaturated zone. Detailed soil investigation was conducted in two soil horizons in the research field to identify soil texture zones, along with infiltration experiments implementing both double-ring and single-ring infiltrometers. The results of the field measurements indicate that fine-textured soils are predominant within the field, affecting several hydrological processes, such as infiltration, drainage, and root water uptake. Field measurements were incorporated in unsaturated zone flow modeling and the infiltration fluxes were simulated with the application of both the UZF package of MODFLOW and the HYDRUS code. The two codes presented acceptable agreement between the simulated and observed hydraulic head values with a similar performance in terms of statistics; however, they produced different results regarding recharge rates in the aquifer as simulated by MODFLOW. HYDRUS produced higher hydraulic head values in the aquifer throughout the simulation, related to higher recharge rates arising from the root water uptake and the capillary effects that are computed by HYDRUS but neglected by the UZF package of MODFLOW. Full article
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16 pages, 4179 KB  
Article
A Pore-Scale Simulation of the Effect of Heterogeneity on Underground Hydrogen Storage
by Hongqing Song, Yiyang Zhou, Zhenhuan Xie, Junming Lao and Ming Yue
Water 2024, 16(22), 3264; https://doi.org/10.3390/w16223264 - 13 Nov 2024
Cited by 10 | Viewed by 2200
Abstract
Using underground hydrogen storage technology has been recognized as an effective way to store hydrogen on a large scale, yet the physical mechanisms of hydrogen flow in porous media remain complex and challenging. Studying the heterogeneity of pore structures is crucial to enhance [...] Read more.
Using underground hydrogen storage technology has been recognized as an effective way to store hydrogen on a large scale, yet the physical mechanisms of hydrogen flow in porous media remain complex and challenging. Studying the heterogeneity of pore structures is crucial to enhance the efficiency of hydrogen storage. In order to better understand the pore-scale behavior of hydrogen in underground heterogeneous porous structures, this paper investigates the effects of wettability, pore–throat ratio, and pore structure heterogeneity on the behavior of the two-phase H2–brine flow using pore-scale simulations. The results show that the complex interactions between wettability, heterogeneity, and pore geometry play a crucial role in controlling the repulsion pattern. The flow of H2 is more obstructed in the region of the low pore–throat ratio, and the obstructive effect is more obvious when adjacent to the region of the high pore–throat ratio than that when adjacent to the region of the medium pore–throat ratio. In high-pore–throat ratio structures, the interfacial velocity changes abruptly as it passes through a wide pore and adjacent narrower throat. Interfacial velocities at the local pore scale may increase by several orders of magnitude, leading to non-negligible viscous flow effects. It is observed that an increase in the pore–throat ratio from 6.35 (low pore–throat ratio) to 12.12 (medium pore–throat ratio) promotes H2 flow, while an increase from 12.12 (medium pore–throat ratio) to 23.67 (high pore–throat ratio) negatively affects H2 flow. Insights are provided for understanding the role of the heterogeneity of pore structures in H2–brine two-phase flow during underground hydrogen storage. Full article
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29 pages, 15304 KB  
Article
Lake Trafford Nutrients Budget and Influxes After Organic Sediment Dredging (South Florida, USA)
by Serge Thomas, Mark A. Lucius, Jong-Yeop Kim, Edwin M. Everham III and Thomas M. Missimer
Water 2024, 16(22), 3258; https://doi.org/10.3390/w16223258 - 13 Nov 2024
Cited by 3 | Viewed by 2420
Abstract
Lake Trafford, a 600-ha subtropical lake in southwestern Florida, has suffered from over 50 years of cultural eutrophication, resulting in the invasion of Hydrilla verticillata and organic sediment accumulation due to herbicide treatments. This study aimed to assess the effects of dredging on [...] Read more.
Lake Trafford, a 600-ha subtropical lake in southwestern Florida, has suffered from over 50 years of cultural eutrophication, resulting in the invasion of Hydrilla verticillata and organic sediment accumulation due to herbicide treatments. This study aimed to assess the effects of dredging on nutrient dynamics. A pre-dredging nutrient budget, developed using land use models and climatic data, estimated nutrient loads of 190 kg d−1 for total nitrogen (TN) and 18.6 kg d−1 for total phosphorus (TP), with total maximum daily loads (TMDLs) of 70.4 kg d−1 for TN and 4.15 kg d−1 for TP. Post-dredging analysis, using detailed spatiotemporal data, showed higher nutrient loads of 274.3 kg d−1 for TN and 24.2 kg d−1 for TP. While dredging reduced legacy nutrient accumulation, it led to increased nutrient influx from groundwater, caused by the exposure of organic sediment, as evidenced by increased lake water electrical conductivity. These findings demonstrate the importance of conducting thorough pre-dredging assessments to mitigate unintended consequences, offering practical insights for managing nutrient loads and improving restoration strategies in eutrophic lakes. Full article
(This article belongs to the Special Issue Research on Nutrient Dynamics in Lakes)
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25 pages, 10924 KB  
Article
Numerical Study of the Cavitation Performance of an Ice-Blocked Propeller Considering the Free Surface Effect
by Li Zhou, Anwen Zhang, Shifeng Ding, Sen Han, Fang Li and Pentti Kujala
Water 2024, 16(22), 3260; https://doi.org/10.3390/w16223260 - 13 Nov 2024
Cited by 31 | Viewed by 1723
Abstract
Propeller cavitation performance can be predicted based on model tests or simulations. However, the cavitation performance of an ice-blocked propeller near the free surface differs from that of a propeller in the cavitation tunnel. Therefore, research on the cavitation performance simulation of propellers [...] Read more.
Propeller cavitation performance can be predicted based on model tests or simulations. However, the cavitation performance of an ice-blocked propeller near the free surface differs from that of a propeller in the cavitation tunnel. Therefore, research on the cavitation performance simulation of propellers near the free surface holds crucial scientific significance. In this study, a coupled model was established using Computational Fluid Dynamics (CFD) and the Volume of Fluid (VOF) coupling method. The CFD-VOF model weighted the overlapping grids and simulated the cavitation performance of an ice-blocked propeller using various immersion depths, cavitation numbers, and advance coefficients. The propeller inflow ahead of the propeller and the wake field behind it were controlled to accurately obtain the propeller cavitation performance. Moreover, a comparison was conducted between the cavitation tunnel test results and the numerical simulation results at various immersion depths. When the immersion depth was at a distance of 1D, the effect of the free surface on the propeller cavitation performance became significant. When the immersion depth was at a distance of 9D, the average errors between the numerical simulation and the model test data were within 10%. This study analyzed the cavitation performance of ice-blocked propellers near the free surface and provided valuable insights for the design of ice-class propellers. Full article
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13 pages, 1634 KB  
Article
Nuclear Magnetic Resonance (NMR) and Density Functional Theory (DFT) Study of Water Clusters of Hydrogen-Rich Water (HRW)
by Nikolay Vassilev, Ignat Ignatov, Teodora P. Popova, Fabio Huether, Alexander I. Ignatov, Mario T. Iliev and Yordan Marinov
Water 2024, 16(22), 3261; https://doi.org/10.3390/w16223261 - 13 Nov 2024
Cited by 6 | Viewed by 2610
Abstract
The present study investigated the 1H Nuclear Magnetic Resonance (NMR) spectra of hydrogen-rich water (HRW) produced using the EVObooster device. The analyzed HRW has pH = 7.1 ± 0.11, oxidation–reduction potential (ORP) of (−450 ± 11) mV, and a dissolved hydrogen concentration [...] Read more.
The present study investigated the 1H Nuclear Magnetic Resonance (NMR) spectra of hydrogen-rich water (HRW) produced using the EVObooster device. The analyzed HRW has pH = 7.1 ± 0.11, oxidation–reduction potential (ORP) of (−450 ± 11) mV, and a dissolved hydrogen concentration of 1.2 ppm. The control sample was tap water filtered by patented technology. A 600 NMR spectrometer was used to measure NMR spectra. Isotropic 1H nuclear magnetic shielding constants of the most stable clusters (H2O)n with n from 3 to 28 have been calculated by employing the gauge-including-atomic-orbital (GIAO) method at the MPW1PW91/6-311+G(2d,p) density function level of theory (DFT). The HRW chemical shift is downfield (higher chemical shifts) due to increased hydrogen bonding. More extensive formations were formed in HRW than in control filtered tap water. The exchange of protons between water molecules is rapid in HRW, and the 1H NMR spectra are in fast exchange mode. Therefore, we averaged the calculated chemical shifts of the investigated water clusters. As the size of the clusters increases, the number of hydrogen bonds increases, which leads to an increase in the chemical shift. The dependence is an exponential saturation that occurs at about N = 10. The modeled clusters in HRW are structurally stabilized, suggesting well-ordered hydrogen bonds. In the article, different processes are described for the transport of water molecules and clusters. These processes are with aquaporins, fusion pores, gap-junction channels, and WAT FOUR model. The exponential trend of saturation shows the dynamics of water molecules in clusters. In our research, the chemical shift of 4.257 ppm indicates stable water clusters of 4–5 water molecules. The pentagonal rings in dodecahedron cage H3O+(H2O)20 allow for an optimal arrangement of hydrogen bonds that minimizes the potential energy. Full article
(This article belongs to the Section Water and One Health)
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11 pages, 1566 KB  
Article
Waste Bauxite Residue Valorization as Trace Metal Sorbent: Application to Acid Mine Drainage Remediation
by Arnaud Gauthier, Brenda Omana, Fouad Amin and Philippe Le Coustumer
Water 2024, 16(22), 3255; https://doi.org/10.3390/w16223255 - 12 Nov 2024
Cited by 2 | Viewed by 1902
Abstract
With an output of more than two million tons of alumina per year, Venezuela is an important producer. As observed, this mining extraction activity generates a large number of by-products poorly valorized for many reasons (economic, technical, and due to environmental standards and [...] Read more.
With an output of more than two million tons of alumina per year, Venezuela is an important producer. As observed, this mining extraction activity generates a large number of by-products poorly valorized for many reasons (economic, technical, and due to environmental standards and regulations) Venezuela production generates wastes (more than 15 million of m3) called red muds, which are dumped in old lagoons near the Orinoco river or stored. This sludge has a high alkalinity (pH between 10 and 13) and a chemical composition containing some heavy metals (40 ppm Cr, 107 ppm La, 178 ppm Ce) that means it is considered environmentally problematic waste. However, their mineralogical, textural and structural characteristics make them adsorption materials. So, the aim of the study presented here was to investigate the sorption properties of these residues in the case of treatment of water from acid mine drainage. In fact, with an important reactive surface, their capacities to trap by adsorption trace elements such as cadmium, lead or zinc has been studied. Batch sorption tests revealed significant retention of contaminants such as Pb, Zn and As. These retention processes were interpreted using the Langmuir isotherm model. The promising first results indicate that the red mud named Venezuelan bauxite residue (VBR) reveals its great potential as a sorbent of inorganic pollutants. The sorption process is chemically dependent and efficient for certain pH and IS ranges. In addition, the material showed a strong affinity for the adsorption of arsenate (As5+). This was observed during post adsorption chemical speciation experiments, through the very high affinity of this element for the least mobile fractions, including oxyhydroxides mobile fractions, including Fe oxyhydroxides (amorphous). Nevertheless, these mining by-products could be considered as valuable absorbent materials. Despite this promising results, further studies are required to evaluate their potential in different conditions (dynamic tests, pH, IS, inorganic and organic contaminants, concentration and time effect). Full article
(This article belongs to the Special Issue Impact of Mining Activities on the Groundwater Resources)
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20 pages, 4249 KB  
Article
How Can Restoration Improve the Environmental Conditions of a Meromictic Urban Lake?
by Jolanta Katarzyna Grochowska
Water 2024, 16(22), 3238; https://doi.org/10.3390/w16223238 - 11 Nov 2024
Cited by 1 | Viewed by 779
Abstract
This study was conducted on Klasztorne Małe Lake located in the city of Kartuzy. For about 100 years, the lake served as a receiver of domestic, industrial, and rain sewage. The lake was completely degraded. In addition, excessive sewage inflow caused the accumulation [...] Read more.
This study was conducted on Klasztorne Małe Lake located in the city of Kartuzy. For about 100 years, the lake served as a receiver of domestic, industrial, and rain sewage. The lake was completely degraded. In addition, excessive sewage inflow caused the accumulation of dense pollution in the area of the lake’s deepest part, which caused the formation of a monimolimnion layer. The bradymictic KML became a meromictic lake. After cutting off the inflow of pollutants, the lake was restored by the P inactivation method using coagulants PIX 111 and PAX 18. Before the restoration process of this lake, concentrations of nutrients in the bottom water layers achieved very high values of TN (total N) 65 mg/L and TP (total P) 30 mg/L. An average concentration of chlorophyll was 65 µg/L and visibility did not exceed 1 m. The method used brought very good results. In the entire volume of water, over 90% reduction in TP and a several-fold decrease in the content of TN were noted. The withdrawal of mineral P from the water limited the production processes in the lake, which was reflected in the reduction in chlorophyll amounts (19 µg/L) and the increase in water visibility (2 m). In addition, oxygen conditions in the lake improved. The application of coagulants caused a decrease in the density of the monimolimnion water, which was indicated by a significant decrease in water conductivity. However, the restoration method did not improve the water dynamics. Full article
(This article belongs to the Section Urban Water Management)
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15 pages, 4336 KB  
Article
Measuring Microplastic Concentrations in Water by Electrical Impedance Spectroscopy
by Diogo Gomes, Solange Magalhães, Maria Graça Rasteiro and Pedro Faia
Water 2024, 16(22), 3228; https://doi.org/10.3390/w16223228 - 10 Nov 2024
Cited by 2 | Viewed by 3027
Abstract
Plastics are vital for society, but their usage has grown exponentially and contributes to the growth of pollution worldwide. The World Health Organization, WHO, already reported that microplastics (MPs) are found everywhere, in waste and fresh water, and in the air and soil. [...] Read more.
Plastics are vital for society, but their usage has grown exponentially and contributes to the growth of pollution worldwide. The World Health Organization, WHO, already reported that microplastics (MPs) are found everywhere, in waste and fresh water, and in the air and soil. Regarding water effluents, waste-water treatment plants only minimize the problem, trapping only larger size particles. In contrast, smaller ones remain in oxidation ponds or sewage sludges, or are even released to aquifers environment. Classic procedures for MPs detection are still quite laborious, and are usually conducted off-line, involving several steps and expensive equipment. Electrical Impedance Spectroscopy, EIS, is a technique that allows the analysis of a system’s electrical response, yielding helpful information about its domain-dependent on physical-chemical properties. Due to the superficial electronegativity of MPs’ particles, EIS may allow to attain the purpose of the present work: to provide a fast and reliable method to detect/estimate MPs’ concentration in water effluents. Among the most common microplastics are Polyethylene, PE, and Polyvinyl Chloride, PVC. Using the developed setup and experimental data collection methodology, the authors could differentiate between MPs’ suspensions containing the same concentration of the different evaluated MPs, PVC and PE, and assess PVC concentration variation, in the interval between 0.03 to 0.5 g (w/w), with an error, estimated based on the obtained impedance modulus, around or below 3% for the entire stimulus signal frequency range (from 100 Hz to 40 MHz) for the PVC particles. Full article
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26 pages, 3333 KB  
Review
Electrocoagulation as a Remedial Approach for Phosphorus Removal from Onsite Wastewater: A Review
by Arif Reza, Shannon Haller and Xinwei Mao
Water 2024, 16(22), 3206; https://doi.org/10.3390/w16223206 - 8 Nov 2024
Cited by 4 | Viewed by 3737
Abstract
Onsite wastewater treatment systems (OWTSs), although essential for managing domestic sewage in areas without centralized sewerage treatment plants, often release phosphorus (P) into the environment due to inadequate treatment. This unregulated P discharge exacerbates water quality degradation and jeopardizes aquatic habitats and human [...] Read more.
Onsite wastewater treatment systems (OWTSs), although essential for managing domestic sewage in areas without centralized sewerage treatment plants, often release phosphorus (P) into the environment due to inadequate treatment. This unregulated P discharge exacerbates water quality degradation and jeopardizes aquatic habitats and human health. Among different treatment technologies, electrocoagulation (EC) demonstrates considerable potential for addressing this challenge by efficiently removing P from OWTSs and thus protecting water resources and ecological integrity. Through electrochemical reactions, EC destabilizes and aggregates P-bearing particles, facilitating their removal through precipitation. Compared to conventional treatment approaches, i.e., chemical and biological methods, EC offers several advantages, including high efficiency, minimal chemical usage, and adaptability to varying wastewater compositions. This review underscores the urgent need for mitigating P discharge from OWTSs and the efficacy of EC as a sustainable solution for P removal, offering insights into its mechanisms, reactor design considerations, important operational factors, performance, and potential applications in OWTSs as well as providing future research directions. Full article
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21 pages, 12616 KB  
Article
Numerical Simulations Using iRIC Nays2DH for Sediment Transport Behaviors in Dam Breach Tests
by Zheng-Yi Feng, Zhi-You Chen and Su-Chin Chen
Water 2024, 16(22), 3205; https://doi.org/10.3390/w16223205 - 8 Nov 2024
Cited by 2 | Viewed by 2398
Abstract
After the breach of a landslide dam, the sediment in the breach opening will be carried downstream by the breach flood. The river channel will also be eroded by the flood, resulting in bed load transport. Three large-scale dam breach tests were conducted [...] Read more.
After the breach of a landslide dam, the sediment in the breach opening will be carried downstream by the breach flood. The river channel will also be eroded by the flood, resulting in bed load transport. Three large-scale dam breach tests were conducted to investigate the sediment transport behavior after a dam breach. The topography data of the creek channel were measured before and after the dam breach tests to understand the sediment transport behavior. The sediment transport simulations of the dam breach tests were conducted using the iRIC Nays2DH software. The simulations focused on three types of test setups: the single dam, single dam with a spur dike, and double dam models. The terrain (DEM) for the numerical model input was designated based on the LiDAR results, and a flow hydrograph during the dam breach tests was applied. The accuracy of the simulations was assessed using the “coverage index” and “mean absolute percentage error”. A numerical parametrical study was performed to find the major parameters that influenced the simulations. The results showed that the dynamic behavior of water flow and sediment during the dam breach processes were effectively captured by the iRIC Nays2DH simulation, but with limitations. The average flow velocity of the flood in the single dam case was the fastest among the three types of dam breaches. Due to the contraction of the creek channel caused by the spur dike, severe erosion occurred locally, and the flow rate increased in the narrowed section. Water impoundment between the two dams after the first dam breach and the consequent breach of the second dam were also well-simulated for the double dam breach. The findings and simulations in this study help explain dam breaches better and can guide researchers working on sediment transport during dam-breach floods. Full article
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30 pages, 5142 KB  
Review
Managed Aquifer Recharge for Sustainable Groundwater Management: New Developments, Challenges, and Future Prospects
by Muhammad Sufyan, Grazia Martelli, Pietro Teatini, Claudia Cherubini and Daniele Goi
Water 2024, 16(22), 3216; https://doi.org/10.3390/w16223216 - 8 Nov 2024
Cited by 12 | Viewed by 11634
Abstract
The combined effect of climate change and increased water demand has put significant strain on groundwater resources globally. Managed aquifer recharge (MAR) has become an effective approach for addressing groundwater depletion problems and sustainable management of groundwater resources. This review article provides an [...] Read more.
The combined effect of climate change and increased water demand has put significant strain on groundwater resources globally. Managed aquifer recharge (MAR) has become an effective approach for addressing groundwater depletion problems and sustainable management of groundwater resources. This review article provides an extensive insight into the existing knowledge of MAR, including the main objectives and applications, implementation techniques (surface spreading, sub-surface, and induced recharge) being practiced over the years, risks and challenges associated with the MAR, and the developments in the field of MAR. This review also explores the potential of MAR in the Friuli Venezia Giulia (FVG) region, north-eastern Italy. An average increase in temperature and a decrease in precipitation and piezometric levels in the region suggest the development of a proper MAR plan to manage water resources in the decades to come. Additionally, a comparative analysis of studies published over the last 20 years, focusing on the quantitative and qualitative aspects of water resource management, is conducted to analyze the research trends in the field of MAR. The reviewed literature reveals a notable research trend towards the quantitative aspect compared to the qualitative one. This review also identifies a notable disparity in qualitative studies during the analysis of water quality parameters considered in different MAR studies. Based on this review, a prospective viewpoint to address the challenges and expand the scope of the field is presented. This calls for an optimized strategy that considers both water quality and quantity issues, along with incorporating environmental and socio-economic aspects within the framework of MAR. Full article
(This article belongs to the Section Hydrogeology)
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18 pages, 3071 KB  
Article
Evaluating Stormwater Infiltration Systems in High Water Table Areas: Insights from Southwest Florida
by John P. Herman, Seneshaw Tsegaye and Thomas M. Missimer
Water 2024, 16(22), 3198; https://doi.org/10.3390/w16223198 - 7 Nov 2024
Cited by 2 | Viewed by 1928
Abstract
Infiltration-based stormwater best management practices (BMPs) are progressively being utilized to mitigate issues such as increased runoff and poor water quality associated with urbanization. However, they are often difficult to accurately model due to the extensive design variables involved, particularly in high water [...] Read more.
Infiltration-based stormwater best management practices (BMPs) are progressively being utilized to mitigate issues such as increased runoff and poor water quality associated with urbanization. However, they are often difficult to accurately model due to the extensive design variables involved, particularly in high water table regions where groundwater mounding can cause primary infiltration to shift from vertical to horizontal. This study assessed an infiltration-based stormwater management system for a commercial property in Southwest Florida using integrated ArcMap 10.8.2 -ICPR4 software. A unique modeling technique captured the shift from vertical to horizontal infiltration in high water table conditions, employing ICPR4’s “percolation ring” and “percolation link”. The integration of GIS with the ICPR model enabled detailed modeling, assessment, and visualization of runoff in high water table areas. Three site-specific design storms were employed to analyze the pre- and post-developed conditions of the study area and assess whether existing BMPs met Environmental Resource Permit (ERP) requirements. While the system complies with ERP standards, it was found to be oversized based on storage basin stages and stormwater discharges from the simulated 100-year/24-h storm event. This is because 45–68% of the total volume entering the stormwater management basins infiltrated during the analysis period. The infiltration rate in the models was initially heavily dependent on vertical infiltration. However, horizontal groundwater flow substantially increased with the increasing water stage in the detention ponds after vadose zone saturation. These findings highlight the significance of modeling techniques in accurately capturing the performance of infiltration-based stormwater management systems in high water table conditions. Full article
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29 pages, 17733 KB  
Article
Long-Term Spatiotemporal Trends in Precipitation, Temperature, and Evapotranspiration Across Arid Asia and Africa
by Akinwale T. Ogunrinde, Oluwafemi E. Adeyeri, Xue Xian, Haipeng Yu, Qiqi Jing and Oluwaseun Temitope Faloye
Water 2024, 16(22), 3161; https://doi.org/10.3390/w16223161 - 5 Nov 2024
Cited by 5 | Viewed by 2856
Abstract
This study examines trends in precipitation (PRE), maximum temperature (TMAX), minimum temperature (TMIN), and potential evapotranspiration (PET) using the Modified Mann-Kendall test and Sen’s slope estimator between 1901 and 2022 in the arid lands of Central Asia, West Asia and North Africa. The [...] Read more.
This study examines trends in precipitation (PRE), maximum temperature (TMAX), minimum temperature (TMIN), and potential evapotranspiration (PET) using the Modified Mann-Kendall test and Sen’s slope estimator between 1901 and 2022 in the arid lands of Central Asia, West Asia and North Africa. The results reveal complex spatial and temporal climate change patterns across the study area. Annual PRE shows a slight negative trend (Z = −0.881, p = 0.378), with significant decreases from 1951–2000 (Z = −3.329, p = 0.001). The temperatures exhibit strong warming trends (TMIN: Z = 9.591, p < 0.001; TMAX: Z = 8.405, p < 0.001). PET increased significantly (Z = 6.041, p < 0.001), with acceleration in recent decades. Spatially, precipitation decreased by 10% in maximum annual values, while PET increased by 10–15% in many areas. Temperature increases of 2–3 °C were observed, with TMAX rising from 36–39 °C to 39–42 °C in some MENA regions. Seasonal analysis shows winter precipitation decreasing significantly in recent years (Z = −1.974, p = 0.048), while summer PET shows the strongest increasing trend (Z = 5.647, p < 0.001). Spatial analysis revealed clear latitudinal gradients in temperature and PET, with higher values in southern regions. PRE patterns were more complex, with coastal and mountainous areas receiving more precipitation. The combination of rising temperatures, increasing PET, and variable PRE trends suggest an overall intensification of aridity in many parts of the region. This analysis provides crucial insights into the climate variability of these water-scarce areas, emphasizing the need for targeted adaptation strategies in water resource management, agriculture, and ecosystem conservation. Full article
(This article belongs to the Special Issue Drought Risk Assessment and Human Vulnerability in the 21st Century)
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17 pages, 6991 KB  
Article
Multi-Step Ahead Water Level Forecasting Using Deep Neural Networks
by Fahimeh Sharafkhani, Steven Corns and Robert Holmes
Water 2024, 16(21), 3153; https://doi.org/10.3390/w16213153 - 4 Nov 2024
Cited by 24 | Viewed by 2605
Abstract
Stream gauge height (water level) is a significant indicator for forecasting future floods. Flooding occurs when the water level exceeds the flood stage. Predicting imminent floods can save lives, protect infrastructure, and improve road traffic management and transportation. Deep neural networks have been [...] Read more.
Stream gauge height (water level) is a significant indicator for forecasting future floods. Flooding occurs when the water level exceeds the flood stage. Predicting imminent floods can save lives, protect infrastructure, and improve road traffic management and transportation. Deep neural networks have been increasingly used in this domain due to their predictive capabilities in capturing complex features and interdependencies. This study employs four distinct models—Multi-Layer Perceptron (MLP), Long Short-Term Memory (LSTM), transformer, and LSTNet—with MLP serving as the baseline model to forecast water levels. The models are trained using data from 20 distinct river gages across the state of Missouri to ensure consistent performance. Random search optimization is employed for hyperparameter tuning. The prediction intervals are set at 4, 6, 8, and 10 (each interval equivalent to 30 min) to ensure that performance results are robust and not due to random weight initialization or suboptimal hyperparameters and are consistent throughout different prediction intervals. The findings of this study indicate that the LSTNet model leads to a better performance than the other models, with a median RMSE of 0.00724, 0.00959, 0.01204, and 0.01230 for the 4, 6, 8, and 10 intervals, respectively. As climate change leads to localized storms driven by atmospheric shifts, water level fluctuations are becoming increasingly extreme, further exacerbating data drift in real-world datasets. The LSTNet model demonstrates superior performance in terms of RMSE, MAE, and the correlation coefficient across all prediction intervals when forecasting water levels under data drift conditions. Full article
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25 pages, 3248 KB  
Review
Nutrient Water Pollution from Unsustainable Patterns of Agricultural Systems, Effects and Measures of Integrated Farming
by Roxana Maria Madjar, Gina Vasile Scăețeanu and Mirela Alina Sandu
Water 2024, 16(21), 3146; https://doi.org/10.3390/w16213146 - 3 Nov 2024
Cited by 24 | Viewed by 14749
Abstract
Nowadays, agricultural practices require special attention due to their important contribution to water pollution, the more so as they are associated with environmental and health impairments. Despite legislation addressing nutrient pollution, there are still high levels of nutrients in water bodies, as evidenced [...] Read more.
Nowadays, agricultural practices require special attention due to their important contribution to water pollution, the more so as they are associated with environmental and health impairments. Despite legislation addressing nutrient pollution, there are still high levels of nutrients in water bodies, as evidenced by the results identified in the literature. Among nutrients of environmental concern identified in water and associated with agricultural practices are nitrogen and phosphorus. When applied in excess under fertilizer form, these nutrients accumulate in water bodies with consequences such as eutrophication or human health impairments if water is used for drinking. The purpose of this review paper is to present the current state of nutrient water pollution generated by unsustainable agricultural practices. In addition, are presented the main legislative regulations addressing water quality imposed by the European Union, are described aspects related to nitrogen and phosphorus pollution from agriculture, and levels of nutrients in water bodies from different European countries. Also, effects of agricultural pollution on the environment and humans are discussed, and possible strategies that could be employed to decrease or prevent water pollution are reviewed. Full article
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19 pages, 5149 KB  
Article
Enhanced Organics Removal Using 3D/GAC/O3 for N-Containing Organic Pharmaceutical Wastewater: Accounting for Improved Biodegradability and Optimization of Operating Parameters by Response Surface Methodology
by Jun Wei Goh, Raphael Jun Hao Tan, Weiyi Wu, Zhaohong Huang, Say Leong Ong and Jiangyong Hu
Water 2024, 16(21), 3138; https://doi.org/10.3390/w16213138 - 2 Nov 2024
Cited by 2 | Viewed by 1526
Abstract
Pharmaceutical industry effluents often contain high concentrations of refractory organic solvents, chemical oxygen demand (COD), and total dissolved solids (TDSs). These wastewaters, including N-containing organic solvents known for their persistence and toxicity, pose significant environmental challenges. The study evaluated the efficacy of 3D/Granular [...] Read more.
Pharmaceutical industry effluents often contain high concentrations of refractory organic solvents, chemical oxygen demand (COD), and total dissolved solids (TDSs). These wastewaters, including N-containing organic solvents known for their persistence and toxicity, pose significant environmental challenges. The study evaluated the efficacy of 3D/Granular Activated Carbon (GAC)/O3 treatment compared to linear process additions when treating real pharmaceutical wastewater, and revealed a 2.73-fold enhancement in COD mineralization. The process primarily involves the direct oxidation of monoprotic organic acids found in real pharmaceutical effluents, such as acetic and formic acid, crucially influencing mineralization rates. Optimal conditions determined via the response surface methodology were 125 g/L GAC, 30 mA/cm2, and 75 mg/L O3, achieving high total organic carbon (TOC) and COD removal efficiencies of 87.19 ± 0.19% and 89.67 ± 0.32%, respectively (R2 > 0.9), during verification runs. Current density emerged as the key parameter for organic abatement, aligning with the emphasis on direct oxidation at the anode surface. This integrated approach enhances biodegradability (BOD5/COD) and reduces acute toxicity associated with persistent N-containing solvents, demonstrating promising applications in pharmaceutical wastewater treatment. Full article
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19 pages, 7115 KB  
Article
N-Chloramine Functionalized Polymer Gels for Point-of-Use Water Disinfection
by Ana Estrella-You, Israt Jahan Duti, Qinmo Luo, Jamie D. Harris, Rachel A. Letteri and James A. Smith
Water 2024, 16(21), 3128; https://doi.org/10.3390/w16213128 - 1 Nov 2024
Cited by 1 | Viewed by 1717
Abstract
Combinations of metal disinfectants (i.e., silver and copper) with chlorine in doses that meet the World Health Organization guidelines for drinking water operate synergistically to provide superior drinking water disinfection across a wide range of pathogens. Moreover, the combination of disinfectants allows for [...] Read more.
Combinations of metal disinfectants (i.e., silver and copper) with chlorine in doses that meet the World Health Organization guidelines for drinking water operate synergistically to provide superior drinking water disinfection across a wide range of pathogens. Moreover, the combination of disinfectants allows for lower chlorine levels and a less objectionable taste and odor to the treated water (some people can taste or smell chlorine at concentrations as low as 300 μg/L). Towards chlorine-releasing materials for combination with silver- or copper-releasing materials in point-of-use water disinfection, N-chloramine containing polymer gels were developed and their potential for E. coli bacteria inactivation was assessed in deionized water that contained salts to simulate groundwater. Following the chlorination of gels containing chloramine precursors, these gels capably inactivated E. coli, achieving log10 reductions—depending on the gel mass—ranging from 1.1 to 4.5. While chlorine released from the gels was not spectroscopically detected, free chlorine solutions inactivated E. coli in a concentration-dependent way, with 5 and 20 μg/L Cl2 yielding log10 reductions of 0.43 and 1.69, respectively, suggesting that low levels of chlorine, below both the limit of detection of spectroscopic assays (ca. 40 μg/L Cl2) and levels known to create adverse taste and smell, are sufficient to inactivate bacteria. Unchlorinated gels or chlorinated control styrene gels (without chloramine precursor) did not inactivate bacteria, suggesting that disinfection did not come from the precursor or from chlorine trapped in the gels after chlorination. In addition, these gels were evaluated together with the MadiDrop (MD, a commercial silver-ceramic tablet) and a copper screen that release silver and copper disinfectants, respectively. Combinations of the gel and MD produced E. coli inactivation close to 2-log10 reduction, with the combination, gels alone, and MD alone achieving 1.86-, 1.10-, and 0.69-log10 reduction, respectively. When the gels were combined with the copper screen, however, neither an increase nor a decrease in bacterial reduction was observed compared to that achieved with the gels alone. The laboratory results in this study are promising and suggest the potential for chloramine-functionalized gels to serve as an alternative to existing commercial chlorine-based POU technologies and in combination with silver-based POU technologies. Full article
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21 pages, 5237 KB  
Article
Water Temperature Model to Assess Impact of Riparian Vegetation on Jucar River and Spain
by Carlos Miñana-Albanell, Dongryeol Ryu and Miguel Ángel Pérez-Martín
Water 2024, 16(21), 3121; https://doi.org/10.3390/w16213121 - 1 Nov 2024
Cited by 3 | Viewed by 3039
Abstract
Water temperature is a critical factor for aquatic ecosystems, influencing both chemical and biological processes, such as fish growth and mortality; consequently, river and lake ecosystems are sensitive to climate change (CC). Currently proposed CC scenarios indicate that air temperature for the Mediterranean [...] Read more.
Water temperature is a critical factor for aquatic ecosystems, influencing both chemical and biological processes, such as fish growth and mortality; consequently, river and lake ecosystems are sensitive to climate change (CC). Currently proposed CC scenarios indicate that air temperature for the Mediterranean Jucar River will increase higher in summer, 4.7 °C (SSP5-8.5), resulting in a river water temperature increase in the hotter month; July, 2.8 °C (SSP5-8.5). This will have an impact on ecosystems, significantly reducing, fragmenting, or even eliminating natural cold-water species habitats, such as common trout. This study consists of developing a simulated model that relates the temperature of the river with the shadow generated by the riverside vegetation. The model input data are air temperature, solar radiation, and river depth. The model proposed only has one parameter, the shadow river percentage. The model was calibrated in a representative stretch of the Mediterranean river, obtaining a 0.93 Nash–Sutcliffe efficiency coefficient (NSE) that indicates a very good model fit, a 0.90 Kling–Gupta efficiency index (KGE), and a relative bias of 0.04. The model was also validated on two other stretches of the same river. The results show that each 10% increase in the number of shadows can reduce the river water temperature by 1.2 °C and, in the stretch applied, increasing shadows from the current status of 62% to 76–87% can compensate for the air temperature increase by CC. Generating shaded areas in river restorations will be one of the main measures to compensate for the rise in water temperature due to climate change. Full article
(This article belongs to the Section Water and Climate Change)
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19 pages, 6885 KB  
Article
Adapting to Climate Change: Reducing Nonpoint Source Pollution in Agriculture: A Case Study in Gyeseong Stream, Korea
by Heongak Kwon, Suyeon Choi and Chang Dae Jo
Water 2024, 16(21), 3127; https://doi.org/10.3390/w16213127 - 1 Nov 2024
Cited by 1 | Viewed by 1597
Abstract
Climate change scenarios have been used to evaluate future climate change impacts and develop adaptation measures to mitigate potential damage. This study investigated strategies to reduce nonpoint source loads in an agriculturally dominated watershed and adapt to climate change despite uncertainty. We also [...] Read more.
Climate change scenarios have been used to evaluate future climate change impacts and develop adaptation measures to mitigate potential damage. This study investigated strategies to reduce nonpoint source loads in an agriculturally dominated watershed and adapt to climate change despite uncertainty. We also investigated strategies for adapting to future meteorological conditions characterized by uncertainty. We utilized the latest future climate change scenarios—shared socioeconomic pathways—and explored measures to reduce nonpoint source loads by implementing nonpoint pollution abatement facilities in a watershed model. The simulation results indicate that the future frequency of rainfall events may decrease based on observations and the types and features of rainfall events in the scenarios. However, the variability of runoff loads in the context of future climate scenarios may increase because of factors influencing surface runoff, including the amount and intensity of rainfall. Nonpoint source loads are expected to exhibit high uncertainty in the future. Finally, the optimal solution can be determined through a simulated evaluation of the cost–benefit of installing the abatement facilities, considering the abatement efficiency and maintenance period. Overall, implementing effective management practices is crucial for reducing nonpoint source loads resulting from agricultural activities while adapting to increasingly variable meteorological conditions. Full article
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21 pages, 7072 KB  
Article
Investigating the Influence of Vegetation Height on the Air Concentration of Supercritical Aerated Flows
by Anne Mozer and S. Harish
Water 2024, 16(21), 3136; https://doi.org/10.3390/w16213136 - 1 Nov 2024
Cited by 1 | Viewed by 1456
Abstract
Spillways can present a way to control the overflowing of water during flood events and prevent damage from levee breaches. With increasing interest in nature-based solutions, the interaction between flow and vegetation parameters has to be understood. Aeration usually occurs during the overflow [...] Read more.
Spillways can present a way to control the overflowing of water during flood events and prevent damage from levee breaches. With increasing interest in nature-based solutions, the interaction between flow and vegetation parameters has to be understood. Aeration usually occurs during the overflow of sloped spillways, leading to the bulking of flow, alterations of flow characteristics, and energy dissipation. The influence of the vegetation parameter on aerated flow characteristics has not yet been investigated in greater detail; no systematic investigation of the effect of vegetation parameters has been conducted. This paper aims to systematically analyze the influence of different vegetation heights on air entrainment during the overflow of spillways. Therefore, a spillway model with a slope of 18° (1:3) was equipped with artificial turf of varying turf heights, and supercritical flows were investigated. The aeration was measured using double-tip conductivity probes, giving insights into air concentration profiles, bubble count rates, estimations of energy dissipation, and flow velocities. The results highlighted the significant influence of vegetation height on the aeration process. Higher air concentrations over the flow depth were observed for higher turf heights tested in this study. Also, the energy dissipation and flow velocity reduction increased with higher vegetation heights. Overall, the present study uncovers the effect of vegetated covers, thereby contributing to the fundamentals of aerated flows. Full article
(This article belongs to the Section Hydraulics and Hydrodynamics)
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13 pages, 781 KB  
Article
The Legal Personhood as an Instrumental Tool for Reforming the Governance of the Rhône River
by Cyrille Vallet, Christian Bréthaut and Michel Lussault
Water 2024, 16(21), 3131; https://doi.org/10.3390/w16213131 - 1 Nov 2024
Cited by 1 | Viewed by 2738
Abstract
Legal personhood has been recognized for several ecosystems worldwide, garnering significant attention from the scholarly community. This attention translated with the mobilization of approaches anchored into legal, institutional, or ethnographic perspectives. On-going calls for the recognition of Rhone River’s legal personhood provides us [...] Read more.
Legal personhood has been recognized for several ecosystems worldwide, garnering significant attention from the scholarly community. This attention translated with the mobilization of approaches anchored into legal, institutional, or ethnographic perspectives. On-going calls for the recognition of Rhone River’s legal personhood provides us the opportunity to analyze on-going processes in a transboundary river located in the middle of Europe. This paper focuses on how such a concept gets promoted and intends to make its way on the political agenda. Specifically, we examine two current promoters of the legal personhood of the Rhone River: the International Commission for the Protection of Lake Geneva (CIPEL) and ID-Eau. We identify five key lessons: (1) the request for recognition of legal personhood derives from actors’ willingness to change current governance practices and to shift the productivist paradigm towards more decentralized and inclusive governance system; (2) legal personhood is presented as a solution to problems that have not yet been clearly framed nor identified, opening up thinking on how such concept may be instrumentalized; (3) the discussion remains limited to a small number of experts; (4) the legitimacy of this debate requires scrutiny; (5) the legal personhood concept should be reinterpreted to fit within Western ontologies. Full article
(This article belongs to the Section Water Resources Management, Policy and Governance)
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26 pages, 8954 KB  
Article
Deep Learning Ensemble for Flood Probability Analysis
by Fred Sseguya and Kyung-Soo Jun
Water 2024, 16(21), 3092; https://doi.org/10.3390/w16213092 - 29 Oct 2024
Cited by 3 | Viewed by 2880
Abstract
Predicting flood events is complex due to uncertainties from limited gauge data, high data and computational demands of traditional physical models, and challenges in spatial and temporal scaling. This research innovatively uses only three remotely sensed and computed factors: rainfall, runoff and temperature. [...] Read more.
Predicting flood events is complex due to uncertainties from limited gauge data, high data and computational demands of traditional physical models, and challenges in spatial and temporal scaling. This research innovatively uses only three remotely sensed and computed factors: rainfall, runoff and temperature. We also employ three deep learning models—Feedforward Neural Network (FNN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM)—along with a deep neural network ensemble (DNNE) using synthetic data to predict future flood probabilities, utilizing the Savitzky–Golay filter for smoothing. Using a hydrometeorological dataset from 1993–2022 for the Nile River basin, six flood predictors were derived. The FNN and LSTM models exhibited high accuracy and stable loss, indicating minimal overfitting, while the CNN showed slight overfitting. Performance metrics revealed that FNN achieved 99.63% accuracy and 0.999886 ROC AUC, CNN had 95.42% accuracy and 0.893218 ROC AUC, and LSTM excelled with 99.82% accuracy and 0.999967 ROC AUC. The DNNE outperformed individual models in reliability and consistency. Runoff and rainfall were the most influential predictors, while temperature had minimal impact. Full article
(This article belongs to the Special Issue Machine Learning Methods for Flood Computation)
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20 pages, 8443 KB  
Article
Inversion Model for Permeability Coefficient Based on Random Forest–Secretary Bird Optimization Algorithm: Case Study of Lower Reservoir of C-Pumped Storage Power Station
by Zekai Ma, Zhenzhong Shen and Jiangyin Yang
Water 2024, 16(21), 3096; https://doi.org/10.3390/w16213096 - 29 Oct 2024
Cited by 3 | Viewed by 1552
Abstract
The geological complexity of the karst regions presents significant challenges, with the permeability coefficient being a critical parameter for accurately analyzing seepage behavior in hydraulic engineering projects. To overcome the limitations of traditional inversion methods, which often exhibit low computational efficiency, poor accuracy, [...] Read more.
The geological complexity of the karst regions presents significant challenges, with the permeability coefficient being a critical parameter for accurately analyzing seepage behavior in hydraulic engineering projects. To overcome the limitations of traditional inversion methods, which often exhibit low computational efficiency, poor accuracy, and instability, this study utilizes a finite-element forward model and orthogonal experimental design to establish a sample set for permeability-coefficient inversion. A surrogate model for seepage calculation based on the Random Forest (RF) algorithm is subsequently developed. Furthermore, the Secretary Bird Optimization Algorithm (SBOA) is incorporated to propose an intelligent RF–SBOA inversion method for permeability-coefficient estimation, which is validated through a case study of the C-pumped storage power station. The results demonstrate that the RF model’s predictions for water levels at four boreholes closely align with the measured data, outperforming models such as CART, BP, and SVR. The SBOA effectively identifies the optimal geological permeability coefficient, with the borehole water-level inversion achieving a maximum relative error of only 0.128%, which meets the accuracy requirements for engineering applications. Additionally, the computed distribution of the natural seepage field is consistent with the typical distribution patterns observed in mountain seepage systems. During the normal water-storage phase, both the calculated seepage flow and gradient comply with engineering standards, while the seepage-field distribution aligns with empirical observations. This inversion model provides a rapid and accurate method for estimating the permeability coefficient of strata in the project area, with potential applicability to permeability inversion in other engineering geology contexts, thus demonstrating considerable practical value for engineering applications. Full article
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19 pages, 3110 KB  
Article
The Financial Model for Water and Sanitation Services in Portugal: Lessons from Decades of Subsidies and Questionable Public Policies
by Rui Cunha Marques, Pedro Simões and Eduardo Marques
Water 2024, 16(21), 3087; https://doi.org/10.3390/w16213087 - 28 Oct 2024
Cited by 3 | Viewed by 3133
Abstract
Despite the billions of euros used as subsidies over recent decades, Portugal’s water sector continues to struggle, being characterized by significant inefficiencies and differences between high- and low-performing water and sanitation services (WSSs). Current subsidy policies lack transparency and are not linked to [...] Read more.
Despite the billions of euros used as subsidies over recent decades, Portugal’s water sector continues to struggle, being characterized by significant inefficiencies and differences between high- and low-performing water and sanitation services (WSSs). Current subsidy policies lack transparency and are not linked to performance results, undermining efforts to promote efficiency and sustainability in both environmental and financial dimensions. To address these issues, this article highlights relevant aspects to be taken into account in the redefinition of funding allocation in the Portuguese WSS sector. By implementing performance-based criteria for subsidy allocation and prioritization, regardless of the identity of beneficiaries or providers, we aim to instigate accountability and efficiency in this process. The analysis draws on empirical data to highlight the shortcomings of existing practices and demonstrates the potential benefits of adopting the “user-pays” principle. This principle is able to improve the definition of tariffs aiming for full cost recovery, while still providing for disadvantaged and vulnerable customers through social tariffs or assistance programs. Key findings indicate that coordinated efforts among government agencies, regulators, public and private utilities, and municipalities are essential to develop and promote effective financing strategies. This stakeholder’s cooperation is essential for managing the urban water cycle sustainably and addressing the sector’s long-term challenges. This research implies that a strategic shift in subsidy allocation is required, to develop accountability, efficiency, and equity in the WSS sector. The allocation of financial resources must be better justified to enhance overall performance in the sector. Full article
(This article belongs to the Special Issue Review Papers of Urban Water Management 2024)
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14 pages, 2198 KB  
Review
The Impact of Nanobubble Gases in Enhancing Soil Moisture, Nutrient Uptake Efficiency and Plant Growth: A Review
by Yeganeh Arablousabet and Arvydas Povilaitis
Water 2024, 16(21), 3074; https://doi.org/10.3390/w16213074 - 27 Oct 2024
Cited by 10 | Viewed by 6162
Abstract
Nanobubble (NB) technology in agriculture has received increased interest due to its potential to promote soil moisture retention and plant development. Therefore, this review investigates the impact of various types of NBs—such as oxygen, carbon dioxide, and air—on soil and plant systems. Various [...] Read more.
Nanobubble (NB) technology in agriculture has received increased interest due to its potential to promote soil moisture retention and plant development. Therefore, this review investigates the impact of various types of NBs—such as oxygen, carbon dioxide, and air—on soil and plant systems. Various studies revealed that nanobubble-saturated water (NBSW) increases moisture retention, microbial activity, and nutrient absorption, which contribute to better plant development. However, there are still gaps in understanding the specific roles of different gases regarding their stability, interactions with soil, and long-term agricultural impacts. This review aims to combine previous research by focusing on various types of NBs impact on soil moisture, water quality, and nutrient retention. Challenges include the quick dissolution of particular gases, limited field studies, and scalability. The analysis showed that despite these challenges, NBs have potential for enhancing agriculture by improving soil structure and crop yield. More study is needed to maximize their application, particularly in determining the most effective gas types and concentrations for certain agricultural areas. Full article
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31 pages, 14974 KB  
Article
Defining and Mitigating Flow Instabilities in Open Channels Subjected to Hydropower Operation: Formulations and Experiments
by Miguel Tavares, Modesto Pérez-Sánchez, Oscar E. Coronado-Hernández, Alban Kuriqi and Helena M. Ramos
Water 2024, 16(21), 3069; https://doi.org/10.3390/w16213069 - 26 Oct 2024
Viewed by 2005
Abstract
A thorough literature review was conducted on the effects of free surface oscillation in open channels, highlighting the risks of the occurrence of positive and negative surge waves that can lead to overtopping. Experimental analyses were developed to focus on the instability of [...] Read more.
A thorough literature review was conducted on the effects of free surface oscillation in open channels, highlighting the risks of the occurrence of positive and negative surge waves that can lead to overtopping. Experimental analyses were developed to focus on the instability of the flow due to constrictions, gate blockages, and the start-up and shutdown of hydropower plants. A forebay at the downstream end of a tunnel or canal provides the right conditions for the penstock inlet and regulates the temporary demand of the turbines. In tests with a flow of 60 to 100 m3/h, the effects of a gradually and rapidly varying flow in the free surface profile were analyzed. The specific energy and total momentum are used in the mathematical characterization of the boundaries along the free surface water profile. A sudden turbine stoppage or a sudden gate or valve closure can lead to hydraulic drilling and overtopping of the infrastructure wall. At the same time, a PID controller, if programmed appropriately, can reduce flooding by 20–40%. Flooding is limited to 0.8 m from an initial amplitude of 2 m, with a dissipation wave time of between 25 and 5 s, depending on the flow conditions and the parameters of the PID characteristics. Full article
(This article belongs to the Section Hydraulics and Hydrodynamics)
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17 pages, 3369 KB  
Article
Seasonal Variations in the Thermal Stratification Responses and Water Quality of the Paldang Lake
by Ju Yeon Son, Hye Jin Han, Yong-Chul Cho, Taegu Kang and Jong Kwon Im
Water 2024, 16(21), 3057; https://doi.org/10.3390/w16213057 - 25 Oct 2024
Cited by 4 | Viewed by 2599
Abstract
We evaluated the thermal and chemical stratifications of Paldang Lake using Schmidt’s stability index (SSI) and the chemical stratification index (IC-i) with weekly data from 2013 to 2022. The temporal trends of stratification were analyzed alongside correlations with meteorological, hydrological, and water quality [...] Read more.
We evaluated the thermal and chemical stratifications of Paldang Lake using Schmidt’s stability index (SSI) and the chemical stratification index (IC-i) with weekly data from 2013 to 2022. The temporal trends of stratification were analyzed alongside correlations with meteorological, hydrological, and water quality variables. Thermal stratification intensified with rising air temperature and sunshine duration, while hydrological factors like discharge and retention time affected SSI during periods with less than five days of water retention. During summer, fewer occurrences of intense rainfall or early rainfall before August led to stronger stratification. In fall, nutrient influx from external sources during summer stimulated algal growth, increasing Chlorophyll-α (Chl-α) concentrations. Summer rainfall had a significant impact on the strength and duration of stratification in Paldang Lake. Annual rainfall patterns and subsequent changes in discharge were key factors affecting the physical environment of the lake, which in turn determined water quality and the extent of algal blooms. We provide insights into the seasonal stratification and water quality variations in temperate river-type reservoirs like Paldang Lake. SSI and IC-i from this research can be applied to understand stratification and mixing dynamics in other lakes. Full article
(This article belongs to the Section Water Quality and Contamination)
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15 pages, 5672 KB  
Article
Sustainability of Groundwater Exploitation Under Climate Change Scenarios in a Mountainous Area of South Korea
by Soyoung Woo, Wonjin Kim, Sun Woo Chang, Min-Gyu Kim and Il-Moon Chung
Water 2024, 16(21), 3065; https://doi.org/10.3390/w16213065 - 25 Oct 2024
Viewed by 1678
Abstract
The excessive extraction of groundwater is a globally significant issue, as it can lead to the permanent loss of groundwater system sustainability. Sustainable groundwater requires development that appropriately balances the needs of both humans and the environment. In this study, the exploitable groundwater [...] Read more.
The excessive extraction of groundwater is a globally significant issue, as it can lead to the permanent loss of groundwater system sustainability. Sustainable groundwater requires development that appropriately balances the needs of both humans and the environment. In this study, the exploitable groundwater (EGW) of the So-Yang-gang Dam (SYD) Basin was estimated based on simulated groundwater recharge rates using SWAT, and the sustainability of future groundwater development was evaluated under different climate change scenarios. The EGW in each sub-watershed of the SYD was estimated to range from 60 to 240 mm/year, with higher values in the upstream watersheds. A sustainability index (SI) was evaluated, ranging from 0.56 to 1.0 across various GCMs. The analysis revealed that uniform EGW across a watershed is overestimated value in sub-watersheds with low recharge rates, potentially accelerating groundwater depletion in those areas. Thus, a flexible EGW estimation approach is essential to balance groundwater conservation with human water demands. Full article
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26 pages, 5657 KB  
Review
Application of Metal–Organic Framework-Based Composite Materials for Photodegradation of Dye Pollutants in Wastewater
by Farzaneh Mahmoudi and Leonidas G. Bachas
Water 2024, 16(21), 3051; https://doi.org/10.3390/w16213051 - 24 Oct 2024
Cited by 12 | Viewed by 4275
Abstract
Water pollution is one of the main challenges that severely affects human health and aquatic ecosystems. Chemical pollutants, including industrial waste, agricultural runoff, and clinical sources, can contaminate water. Photocatalytic processes present clean, renewable, and efficient techniques for degrading organic contaminants in wastewater. [...] Read more.
Water pollution is one of the main challenges that severely affects human health and aquatic ecosystems. Chemical pollutants, including industrial waste, agricultural runoff, and clinical sources, can contaminate water. Photocatalytic processes present clean, renewable, and efficient techniques for degrading organic contaminants in wastewater. Metal–organic frameworks (MOFs) are one of the more efficient materials in wastewater remediation due to their significantly high surface area and tunable structures. This review summarizes the development of novel composite materials based on MOFs for the photocatalytic decomposition of dye contaminants in wastewater. Different synthesis methods of MOFs and composite materials are explored. Several strategies for enhancing the photocatalytic activity of MOFs are discussed. Photocatalytic reaction conditions and suggested mechanisms are summarized, particularly for eliminating dye contaminants using MOF-based composite materials. The designed composite materials demonstrate improved stability and photocatalytic activity. This review provides strategies for designing MOF-based composite materials and improving their efficiency and stability for the photocatalytic elimination of dye pollutants in wastewater. Additionally, the review addresses challenges in advancing MOF-based composite materials. Full article
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15 pages, 4796 KB  
Article
Spatial Distribution, Leaching Characteristics, and Ecological and Health Risk Assessment of Potential Toxic Elements in a Typical Open-Pit Iron Mine Along the Yangzi River
by Yifan Zeng, Zuxin Xu and Bin Dong
Water 2024, 16(21), 3017; https://doi.org/10.3390/w16213017 - 22 Oct 2024
Cited by 2 | Viewed by 1169
Abstract
Potential toxic elements (PTEs) pollution in the soil of abandoned open-pit mines can lead to great ecological risk to the areas around the mining districts. This study selected a typical abandoned open-pit iron mine along the Yangzi River in southeast China to investigate [...] Read more.
Potential toxic elements (PTEs) pollution in the soil of abandoned open-pit mines can lead to great ecological risk to the areas around the mining districts. This study selected a typical abandoned open-pit iron mine along the Yangzi River in southeast China to investigate the spatial distribution, leaching characteristics, and ecological and health risk of the soil PTEs (As, Pb, Cd, Ni, Cr, Cu, and Zn). Leaching tests and sequential extraction were applied to study the migration of PTEs under the condition of rainfall. Different risk assessment methods were used to analyze the pollution and ecological risk of PTEs. The contents of As and Cu exceeded the background value of the Chinese soil guideline, with average contents of 50.71 ± 1.59 and 197.47 ± 16.09, respectively. The leaching test and sequential extraction indicated that sites 8 and 9 posed the greatest risk of PTE migration. According to the map of the Nemerow integrated pollution index (NIPI), the pollution level of the middle bare area of the study area was the highest, and Cu possessed the highest pollution index (PI) of 3.92. The average geo-accumulation index (Igeo) of As and Cu was between 1 and 2, reaching the pollution level of moderately contaminated. The average potential ecological risk coefficient (Ei) of As was the highest, and the contributions of As, Cu, and Cd to the potential ecological risk of the whole study area were 46.7%, 29.7%, and 14.3%, respectively. The range of the hazard index (HI) and the range of the As carcinogenic risk (CRAs) of all the sampling sites for children were 1.30–3.94 and 2.19 × 10−4–7.20 × 10−4, and As accounted for more than 85% of the total noncarcinogenic risk, indicating that the comprehensive pollution of PTEs in the study area posed great carcinogenic and noncarcinogenic risks to children. This study can be a proper reference for the subsequent recovery methods and environmental management of the whole mining area. Full article
(This article belongs to the Special Issue Soil and Groundwater Quality and Resources Assessment)
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36 pages, 19498 KB  
Article
Advancing SWAT Model Calibration: A U-NSGA-III-Based Framework for Multi-Objective Optimization
by Huihui Mao, Chen Wang, Yan He, Xianfeng Song, Run Ma, Runkui Li and Zheng Duan
Water 2024, 16(21), 3030; https://doi.org/10.3390/w16213030 - 22 Oct 2024
Cited by 5 | Viewed by 2760
Abstract
In recent years, remote sensing data have revealed considerable potential in unraveling crucial information regarding water balance dynamics due to their unique spatiotemporal distribution characteristics, thereby advancing multi-objective optimization algorithms in hydrological model parameter calibration. However, existing optimization frameworks based on the Soil [...] Read more.
In recent years, remote sensing data have revealed considerable potential in unraveling crucial information regarding water balance dynamics due to their unique spatiotemporal distribution characteristics, thereby advancing multi-objective optimization algorithms in hydrological model parameter calibration. However, existing optimization frameworks based on the Soil and Water Assessment Tool (SWAT) primarily focus on single-objective or multiple-objective (i.e., two or three objective functions), lacking an open, efficient, and flexible framework to integrate many-objective (i.e., four or more objective functions) optimization algorithms to satisfy the growing demands of complex hydrological systems. This study addresses this gap by designing and implementing a multi-objective optimization framework, Py-SWAT-U-NSGA-III, which integrates the Unified Non-dominated Sorting Genetic Algorithm III (U-NSGA-III). Built on the SWAT model, this framework supports a broad range of optimization problems, from single- to many-objective. Developed within a Python environment, the SWAT model modules are integrated with the Pymoo library to construct a U-NSGA-III algorithm-based optimization framework. This framework accommodates various calibration schemes, including multi-site, multi-variable, and multi-objective functions. Additionally, it incorporates sensitivity analysis and post-processing modules to shed insights into model behavior and evaluate optimization results. The framework supports multi-core parallel processing to enhance efficiency. The framework was tested in the Meijiang River Basin in southern China, using daily streamflow data and Penman–Monteith–Leuning Version 2 (PML-V2(China)) remote sensing evapotranspiration (ET) data for sensitivity analysis and parallel efficiency evaluation. Three case studies demonstrated its effectiveness in optimizing complex hydrological models, with multi-core processing achieving a speedup of up to 8.95 despite I/O bottlenecks. Py-SWAT-U-NSGA-III provides an open, efficient, and flexible tool for the hydrological community that strives to facilitate the application and advancement of multi-objective optimization in hydrological modeling. Full article
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16 pages, 15674 KB  
Article
Delineation of Groundwater Potential Zones Using Geospatial Techniques. Case Study: Roman City and the Surrounding Area in the Northeastern Region, Romania
by Petrut-Liviu Bogdan, Valentin Nedeff, Mirela Panainte-Lehadus, Dana Chitimuș, Narcis Barsan and Florin Marian Nedeff
Water 2024, 16(21), 3013; https://doi.org/10.3390/w16213013 - 22 Oct 2024
Cited by 6 | Viewed by 1803
Abstract
Effective groundwater management is crucial under the current climatic conditions, addressing both qualitative and quantitative aspects. An important step in delineating groundwater potential zones involves remote sensing (RS) data and geographic information systems (GISs), facilitating resource assessment, and the implementation of suitable field [...] Read more.
Effective groundwater management is crucial under the current climatic conditions, addressing both qualitative and quantitative aspects. An important step in delineating groundwater potential zones involves remote sensing (RS) data and geographic information systems (GISs), facilitating resource assessment, and the implementation of suitable field data management. This study introduces the delineation of potential groundwater zones using seven layers and the Multi-Criteria Decision Analysis (MCDA) method. Satty’s Analytic Hierarchy Process (AHP) was employed to rank the seven selected parameters, contributing to the advancement of groundwater research and resource assessment. All seven thematic layers (Rainfall, Geology, Land Use/Land Cover, Drainage Density, Elevation, Slope, and Soil) were prepared and analyzed to delineate groundwater potential zones. The resulting groundwater potential zone map was categorized into four classes, Very Good, Good, Moderate, and Poor, covering areas of 81.53 km2 (45.1%), 56.36 km2 (31.2%), 19.54 km2 (10.8%), and 23.17 km2 (12.8%) of the total area, respectively. The accuracy of the output was validated by comparing it with information on groundwater prospects in the area, and the overall accuracy of the method was approximately 72%. High-yield boreholes were drilled and concentrated in the Very Good groundwater potential zones, while low-yield ones were developed in the Poor areas. Full article
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18 pages, 2077 KB  
Article
Ecological Environment Assessment System in River–Riparian Areas Based on a Protocol for Hydromorphological Quality Evaluation
by Lan Duo, Martí Sánchez-Juny and Ernest Bladé i Castellet
Water 2024, 16(21), 3025; https://doi.org/10.3390/w16213025 - 22 Oct 2024
Cited by 2 | Viewed by 1638
Abstract
This paper aims to propose a method for the evaluation of the hydromorphological quality of a river and its riparian areas using three essential components: morphological characterization, river connectivity, and vegetation coverage. The method has been applied to the Tordera river in Catalonia, [...] Read more.
This paper aims to propose a method for the evaluation of the hydromorphological quality of a river and its riparian areas using three essential components: morphological characterization, river connectivity, and vegetation coverage. The method has been applied to the Tordera river in Catalonia, Spain. The general goal is to establish a riparian environment assessment tool by proposing parameters for each of the three mentioned aspects. This approach relies on data collection and evaluation with a simple computational procedure for eliminating subjectivity in the weighting and classification of evaluation levels. In the proposed methodology, the weights of the indicators are determined by the Distance Correlation-Based CRITIC (D-CRITIC) method, and the results are integrated using the Coupling Coordination Degree Model (CCDM). The proposed methodology quantifies assessment parameters and analyzes the environmental problems faced by riparian zones and rivers through the parameters and the results of the CCDM and thus can be used as a basis for proposing methods to improve the ecological situation. The results can be used for the enhancement of the coordination between the development of riparian resources and the requirements of ecosystem protection and utilization, and they can be used to promote the healthy development of ecological environments and the effective use of riparian resources. Full article
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15 pages, 5351 KB  
Article
Estimation of Hydraulic and Water Quality Parameters Using Long Short-Term Memory in Water Distribution Systems
by Nadia Sadiki and Dong-Woo Jang
Water 2024, 16(21), 3028; https://doi.org/10.3390/w16213028 - 22 Oct 2024
Cited by 2 | Viewed by 2212
Abstract
Predicting essential water quality parameters, such as discharge, pressure, turbidity, temperature, conductivity, residual chlorine, and pH, is crucial for ensuring the safety and efficiency of water supply systems. This study employs long short-term memory (LSTM) networks to address the challenge of capturing temporal [...] Read more.
Predicting essential water quality parameters, such as discharge, pressure, turbidity, temperature, conductivity, residual chlorine, and pH, is crucial for ensuring the safety and efficiency of water supply systems. This study employs long short-term memory (LSTM) networks to address the challenge of capturing temporal dependencies in these complex processes. Our approach, using a robust LSTM-based model, has demonstrated significant predictive accuracy, as evidenced by substantial R-squared values (e.g., 0.86 for discharge and 0.97 for conductivity). These models have proven particularly effective in handling non-linear patterns and time-series data, which are prevalent in water quality metrics. The results indicate the potential for LSTMs not only to enhance the real-time monitoring of water systems but also to aid in the strategic planning and management of water supply systems. This study’s findings can serve as a basis for further research into the integration of AI in environmental engineering, particularly for predictive tasks in complex, dynamic systems. Full article
(This article belongs to the Special Issue Hydrological-Hydrodynamic Simulation Based on Artificial Intelligence)
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16 pages, 2309 KB  
Review
A Review of Strategies and Technologies for Sustainable Decentralized Wastewater Treatment
by Chuqiao Sha, Shuting Shen, Junjun Zhang, Chao Zhou, Xiwu Lu and Hong Zhang
Water 2024, 16(20), 3003; https://doi.org/10.3390/w16203003 - 21 Oct 2024
Cited by 11 | Viewed by 8651
Abstract
The traditional model of centralized wastewater treatment is facing substantial strain due to a confluence of global challenges. Consequently, it is imperative to evaluate the impediments and potential advantages associated with the deployment of decentralized wastewater (DW) treatment technologies and systems. Decentralized wastewater [...] Read more.
The traditional model of centralized wastewater treatment is facing substantial strain due to a confluence of global challenges. Consequently, it is imperative to evaluate the impediments and potential advantages associated with the deployment of decentralized wastewater (DW) treatment technologies and systems. Decentralized wastewater (DW) treatment represents a sustainable approach to managing and purifying wastewater across both urban and rural settings. This literature review provides a detailed examination of current advancements and challenges associated with DW treatment technologies. It specifically addresses their operational efficiency, long-term sustainability, and practical implementation across diverse environments. This review critically analyzes recent studies that highlight innovative methodologies, including the deployment of constructed wetlands, anaerobic digestion processes, and predictive models enhanced by artificial intelligence. A critical focus is placed on the ecological and economic advantages of source separation and resource recovery from wastewater streams. The issue of emerging contaminants, such as microplastics, antibiotics, and steroids, is also discussed, emphasizing the continued need for innovation in treatment technologies. Findings from various life cycle assessments are presented to illustrate the environmental impact and feasibility of decentralized systems relative to centralized alternatives. This comprehensive analysis offers valuable insights into the future trajectories of wastewater treatment research and implementation. Full article
(This article belongs to the Section Wastewater Treatment and Reuse)
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38 pages, 16780 KB  
Review
An Evaluation of Metal Binding Constants to Cell Surface Receptors in Freshwater Organisms, and Their Application in Biotic Ligand Models to Predict Metal Toxicity
by Paul L. Brown and Scott J. Markich
Water 2024, 16(20), 2999; https://doi.org/10.3390/w16202999 - 21 Oct 2024
Cited by 2 | Viewed by 1913
Abstract
Biotic ligand models (BLMs) predict the toxicity of metals in aquatic environments by accounting for metal interactions with cell surface receptors (biotic ligands) in organisms, including water chemistry (metal speciation) and competing cations. Metal binding constants (log KMBL values), which indicate the [...] Read more.
Biotic ligand models (BLMs) predict the toxicity of metals in aquatic environments by accounting for metal interactions with cell surface receptors (biotic ligands) in organisms, including water chemistry (metal speciation) and competing cations. Metal binding constants (log KMBL values), which indicate the affinity of metals for cell surface receptors, are fundamental to BLMs, but have only been reported for a few commonly investigated metals and freshwater species. This review evaluated literature toxicity and uptake data for seven key metals (cadmium (Cd), cobalt (Co), copper (Cu), nickel (Ni), lead (Pb), uranium (U), and zinc (Zn)) and four key competing cations (protons (H), calcium (Ca), magnesium (Mg), and sodium (Na)), to derive average metal binding constants for freshwater organisms/taxa. These constants will improve current BLMs for Cd, Cu, Ni, Pb, and Zn, and aid in developing new BLMs for Co and U. The derived metal binding constants accurately predicted metal toxicity for a wide range of freshwater organisms (75–88% of data were within a factor of two and 88–98% of data were within a factor of three of the ideal 1:1 agreement line), when considering metal speciation, competing cations and the fraction of cell receptors ((fC)M50%) occupied by the metal at the median (50%) effect concentration (EC50). For many organisms, toxicity occurs when 50% of cell surface receptors are occupied by the metal, though this threshold can vary. Some organisms exhibit toxicity with less than 50% receptor occupancy, while others with protective mechanisms show reduced toxicity, even with similar log KMBL values. For Cu, U, and Pb, the toxic effect of the metal hydroxide (as MOH+) must be considered in addition to the free metal ion (M2+), as these metals hydrolyse in circumneutral freshwaters (pH 5.5 to 8.5), contributing to toxicity. Full article
(This article belongs to the Special Issue Ecotoxicity of Pollutants on Aquatic Species)
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