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Low-Cost, Sustainable Materials and 3D-Printed Systems for Wastewater Treatment and Reuse in Rural Communities: A Critical Review -
Impacts of Climatic Phenomena and Terrain on December 2021 Extreme Rainfall over Peninsular Malaysia -
Machine Learning in Climate Downscaling: A Critical Review of Methodologies, Physical Consistency, and Operational Applications -
Long-Term VOC Transport in a Thick Heterogeneous Vadose Zone and Perched Aquifers: Jerusalem Mountains Industrial Site -
Leakage Modelling in Water Distribution Networks: A Novel Framework for Embedding FAVAD Formulation into EPANET 2.2
Journal Description
Water
Water
is a peer-reviewed, open access journal on water science and technology, including the ecology and management of water resources, published semimonthly online by MDPI. Water collaborates with the Stockholm International Water Institute (SIWI). In addition, the American Institute of Hydrology (AIH), Polish Limnological Society (PLS) and Japanese Society of Physical Hydrology (JSPH) are affiliated with Water and their members receive a discount on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), Ei Compendex, GEOBASE, GeoRef, PubAg, AGRIS, CAPlus / SciFinder, Inspec, and other databases.
- Journal Rank: JCR - Q2 (Water Resources) / CiteScore - Q1 (Aquatic Science)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 18.9 days after submission; acceptance to publication is undertaken in 2.7 days (median values for papers published in this journal in the second half of 2025).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Companion journals for Water include: Hydropower and Freshwater.
- Journal Clusters of Water Resources: Water, Journal of Marine Science and Engineering, Hydrology, Resources, Oceans, Limnological Review, Coasts.
Impact Factor:
3.5 (2025);
5-Year Impact Factor:
3.6 (2025)
Latest Articles
Investigating the Regulatory Effects of Water Body Morphological Layouts on Settlement Microclimate
Water 2026, 18(13), 1558; https://doi.org/10.3390/w18131558 (registering DOI) - 25 Jun 2026
Abstract
Water bodies play an important role in regulating settlement microclimates, and understanding the influence of water body morphology is essential for climate-adaptive settlement planning. This study quantified three key morphological parameters, scale, dispersion degree, and enclosure morphology, to investigate their effects on the
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Water bodies play an important role in regulating settlement microclimates, and understanding the influence of water body morphology is essential for climate-adaptive settlement planning. This study quantified three key morphological parameters, scale, dispersion degree, and enclosure morphology, to investigate their effects on the microclimate of traditional Weizi settlements. Based on field measurements and ENVI-met simulations, fifteen water body layout scenarios were developed and evaluated using air temperature, relative humidity, wind speed, and PET. The results indicate that water body scale, enclosure morphology, and dispersion degree exert differentiated effects on thermal–humidity regulation, whereas their influence on wind speed is limited. The cooling and humidifying capacities followed the order of scale > enclosure morphology > dispersion degree, while the spatial influence range followed the order of enclosure morphology > scale > dispersion degree. PET analysis further demonstrated that larger water bodies, lower dispersion levels, and higher enclosure degrees contribute to improved outdoor thermal comfort. Under a constant water surface area, the optimal configuration consisted of a centralized water body layout with a water–land ratio of 0.49, a double-enclosure morphology, and a length-to-width ratio of 2:3. These findings provide quantitative guidance for climate-responsive planning and the design of water-adaptive settlements.
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(This article belongs to the Section Urban Water Management)
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Water Level Measurement Approach Using Monocular Vision with Piecewise Linear Fitting Algorithm
by
Dong Zhou, Xiaochen Wang, Kai Si, Mingtang Liu, Mengmeng Ge, Zhixin Li and Jinggan Shao
Water 2026, 18(13), 1557; https://doi.org/10.3390/w18131557 (registering DOI) - 25 Jun 2026
Abstract
Water level monitoring is closely linked to the safety of production and daily activities along riverbanks, making real-time and high-precision water level measurement an urgent technical demand. The feature extraction backbone of the Unet model is modified, and the lightweight MobileNet V2 network
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Water level monitoring is closely linked to the safety of production and daily activities along riverbanks, making real-time and high-precision water level measurement an urgent technical demand. The feature extraction backbone of the Unet model is modified, and the lightweight MobileNet V2 network is adopted in this paper. The constructed network achieves significantly higher computational efficiency than standard convolutions, effectively overcoming the limited real-time performance of conventional water level measurement methods. Furthermore, the coordinate attention (CA) mechanism is integrated into the skip connections of Unet to strengthen the network’s capability to extract key features for water level segmentation, thereby further improving the accuracy of water level detection. A novel piecewise linear fitting method for water level line measurement based on monocular vision is proposed, and field-measured water level data are adopted to verify the calculation results. The main achievements of the improved model include the following: (1) Compared with the baseline model, the improved model MCUnet (MobileNet V2 + CA + Unet) achieves a 5.77% increase in accuracy and a 25.71% improvement in inference speed on the experimental water surface recognition dataset. (2) Taking the field-observed water level as the reference, the mean absolute error of the proposed image-based water level monitoring method reaches approximately 1.69 cm. (3) In comparison with DeepLab, U2net and Unet, the MCUnet model gains accuracy improvements of 4.47%, 2.81% and 5.77% respectively, with the detection frame rate increased by 12 FPS, 15 FPS and 11 FPS correspondingly. Through this work, the paper can provide some theoretical support and technical references for overcoming the limitations of conventional water level measuring devices, including strict installation requirements, limited measurement precision, high deployment and maintenance costs, and cumbersome data processing.
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(This article belongs to the Section New Sensors, New Technologies and Machine Learning in Water Sciences)
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Indus Water Treaty (IWT): Competing Interpretations of India and Pakistan
by
Anuradha Jangra
Water 2026, 18(13), 1556; https://doi.org/10.3390/w18131556 (registering DOI) - 25 Jun 2026
Abstract
The article examines how India and Pakistan have interpreted the Indus Water Treaty (IWT) in the broader context of their preference, needs, and constraints. Rather than treating the IWT as a static legal instrument or as a case of institutional resilience, the analysis
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The article examines how India and Pakistan have interpreted the Indus Water Treaty (IWT) in the broader context of their preference, needs, and constraints. Rather than treating the IWT as a static legal instrument or as a case of institutional resilience, the analysis conceptualizes the Treaty as a performance-based regime, where treaty stability emerges from how states perform their obligations over time rather than from institutional design alone. Adopting a qualitative process-tracing approach grounded in treaty interpretation as operationalized through state practice, this article advances three interrelated arguments: first, the durability of the IWT cannot be explained solely by institutional design, but must be understood as a “performance-based equilibrium” sustained through state practice. Second, this stability historically relied on a pattern of “compliance asymmetry,” in which India, as the upper riparian, exercised restraint well beyond minimal entitlement while Pakistan consolidated downstream dependence through infrastructural development. Third, the growing juridification of dispute resolution since the 2000s, driven by escalating infrastructural friction, has altered the political meaning of compliance, narrowed interpretive flexibility, and reshaped reciprocal expectations. The article contributes to the scholarship of international legal theory and hydro-politics, particularly by reconceptualizing treaty resilience as a function of material and political performance, rather than the formal text alone.
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(This article belongs to the Special Issue Working Across Borders to Address Water Scarcity)
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Analysis of Hydrochemical Characteristics and Pollution Sources Based on Multi-Model Approach: A Case Study of the Wuhan Karst Region
by
Fangting Wang, Ke Bao, Xin Qi and Xiaohan Wang
Water 2026, 18(13), 1555; https://doi.org/10.3390/w18131555 (registering DOI) - 25 Jun 2026
Abstract
Karst terrains hold vital global groundwater reserves, underpinning regional water security and ecological stability. To elucidate groundwater hydrochemical patterns and formation mechanisms in Wuhan’s karst zone, this study adopted the Gibbs model, correlation analysis, principal component analysis and positive matrix factorization to explore
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Karst terrains hold vital global groundwater reserves, underpinning regional water security and ecological stability. To elucidate groundwater hydrochemical patterns and formation mechanisms in Wuhan’s karst zone, this study adopted the Gibbs model, correlation analysis, principal component analysis and positive matrix factorization to explore water–rock interactions, hydrochemical origins, element migration, hydrogeochemical facies and genetic processes. The results show that water in both confined porous loose rock aquifers (CPLRAs) and karst fissure carbonate rock aquifers (KFCRAs) is mainly of HCO3–Ca and HCO3·SO4–Ca types. Carbonate dissolution dominates hydrochemical evolution, with Ca2+, Mg2+, and HCO3− as major ions. Natural water–rock interactions control the ionic characteristics of both groundwater types. Silicate weathering exerts a greater influence on water in the KFCRA, while water in the CPLRA has more complex ion sources. Anthropogenic activities contribute 17.52% and 17.61% to their hydrochemical variations, suggesting moderate human influence. Water in the CPLRA is mainly affected by domestic sewage and soil organic nitrogen, locally superimposed with industrial and mining disturbances. Water in the KFCRA is primarily influenced by agricultural pollution, with minor domestic sewage input. These findings provide a scientific basis for sustainable development, protection, and targeted pollution control of groundwater resources in the Wuhan karst area, and offer a reference for hydrochemical studies in comparable karst regions.
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(This article belongs to the Special Issue Contaminant Transport, Risk Assessment, and Ecological Impacts in Karst)
Open AccessArticle
From Olive Mill Solid Waste to Engineered Biochar: An Effective Processing Approach to Trihalomethane Removal from Water
by
Sara P. Azerrad, Shilat Parsha, Hassan Azaizeh, Nariman Mattar-Dabit, Manal Haj Zaroubi and Eyal Kurzbaum
Water 2026, 18(13), 1554; https://doi.org/10.3390/w18131554 (registering DOI) - 25 Jun 2026
Abstract
Trihalomethanes (THMs) are priority disinfection by-products in drinking water, and their effective removal remains a persistent challenge for sustainable treatment. Here, olive mill solid waste (OMSW) was valorized into biochar (BC) and evaluated as a low-cost adsorbent for chloroform, bromodichloromethane (BDCM), chlorodibromomethane (CDBM),
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Trihalomethanes (THMs) are priority disinfection by-products in drinking water, and their effective removal remains a persistent challenge for sustainable treatment. Here, olive mill solid waste (OMSW) was valorized into biochar (BC) and evaluated as a low-cost adsorbent for chloroform, bromodichloromethane (BDCM), chlorodibromomethane (CDBM), and bromoform under environmentally relevant conditions. Among the prepared materials, thermally activated BC (BC-T) performed best, achieving equilibrium removals of 74.7 ± 6.6% for chloroform, 91.1 ± 0.8% for BDCM, 87.2 ± 1.9% for CDBM, and 93.8 ± 0.3% for bromoform at 3000 mg/L. Adsorption increased with bromine substitution, following the order of bromoform > CDBM ≈ BDCM > chloroform, consistent with rising hydrophobicity. In contrast, KOH and Zn/Fe activation increased the BET surface area but did not improve THM removal, suggesting that adsorption was controlled by surface chemistry and site accessibility rather than surface area alone. Persulfate (PSF) addition reduced THM removal, indicating that oxidant activation did not compensate for the loss of adsorption capacity. Adsorption data were well described by the Freundlich isotherm and pseudo-second-order kinetics. BC-T also maintained high removal efficiency in drinking water, demonstrating its promise as a practical polishing adsorbent for THM control and as a route for high-value valorization of an abundant agricultural residue.
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(This article belongs to the Special Issue New Technologies Towards the Degradation of Emerging Contaminants in Water)
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Annual Cycle of the Mesozooplankton in Oligotrophic Waters off Tenerife (Canary Islands, Spain)
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Marco Anglano, Genuario Belmonte, Enrique Isla, Juan Usó-Canós and Sergio Rossi
Water 2026, 18(13), 1553; https://doi.org/10.3390/w18131553 (registering DOI) - 25 Jun 2026
Abstract
Mesozooplankton were studied monthly (September 2023–August 2024, 12 months) at two coastal stations, at 35 and 90 m water depth, off Punta Blanca, SW Tenerife, Canary archipelago. Sample collection involved 250 and 500 μm bongo nets. This research focused on improving the description
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Mesozooplankton were studied monthly (September 2023–August 2024, 12 months) at two coastal stations, at 35 and 90 m water depth, off Punta Blanca, SW Tenerife, Canary archipelago. Sample collection involved 250 and 500 μm bongo nets. This research focused on improving the description of plankton biodiversity and dynamics of the Canary archipelago (Macaronesia area), including its role in the transport of particulate carbon. A total of 156 taxa were identified. Copepoda dominated with 85 taxa, including 72 Calanoida species. They were numerically followed by Appendicularia, Chaetognatha, and Hydrozoa. Mesh sizes varied in collection efficiency, but with a similar pattern during the annual cycle: abundance peaks in early autumn (October–November) and late winter–spring (February–April). The 35 m depth station showed 57 to 3809 ind. m−3 (250 μm mesh size) and 10 to 1577 ind. m−3 (500 μm). The 90 m depth station showed 22 to 402 ind. m−3 (250 μm) and 11 to 170 ind. m−3 (500 μm). The present study enhances our understanding of Macaronesia’s mesozooplankton dynamics related to environmental variability, which is crucial for energy transfer assessments in pelagic food webs. It reports new species for the study area, Labidocera acutifrons (Dana, 1849–1852) and Undinula vulgaris (Dana, 1849–1852), highlighting the need for consistent zooplankton monitoring to properly inform conservation and sustainable management actions in the region.
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(This article belongs to the Section Biodiversity and Functionality of Aquatic Ecosystems)
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Seasonal Variation Outweighs Spatial Variation in Lotic Water Mite Communities in a Mediterranean Mountain
by
Dinis Girão, Sónia Ferreira, Vladimir Pešić and Luís P. da Silva
Water 2026, 18(13), 1552; https://doi.org/10.3390/w18131552 (registering DOI) - 25 Jun 2026
Abstract
Water mites (Hydrachnidia) are diverse, ecologically important arachnids that can serve as effective bioindicators; however, their communities in Mediterranean mountain rivers are scarcely documented. The present study provides a comprehensive analysis of water mite communities in mountain rivers of Serra da Estrela (Portugal),
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Water mites (Hydrachnidia) are diverse, ecologically important arachnids that can serve as effective bioindicators; however, their communities in Mediterranean mountain rivers are scarcely documented. The present study provides a comprehensive analysis of water mite communities in mountain rivers of Serra da Estrela (Portugal), assessing how abundance, genus richness, and community composition vary across seasons, among rivers, and along an elevational gradient. Water mites were sampled in twelve sites belonging to 3 rivers across an elevational gradient and in three seasons. In total, 7296 adult water mites were collected, representing 33 genera and 17 families. Three genera were documented for the first time in Portugal: Albia, Hexaxonopsalbia, and Wettina. Abundance varied with season, being lower in spring (102 ± 35 specimens per site) than in summer (249 ± 73) and autumn (257 ± 83). Genus richness showed a similar pattern, with lower values in spring (9.8 ± 2.0) than in summer (12.2 ± 1.9). Spatial variation among rivers was comparatively minor. The multivariate analysis revealed that community-level changes between seasons, rivers and elevation were driven by only a few genera. The findings help improve the knowledge of Mediterranean mountain water mite communities, shedding light on their seasonal and spatial dynamics.
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(This article belongs to the Special Issue Impact of Environmental Factors on Aquatic Ecosystem, 2nd Edition)
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Open AccessReview
From Nanomaterial Performance to System Integration: Advancing Realistic Wastewater Treatment Technologies
by
Tamer Elsakhawy, Daniella Sári, Mohamed H. Sheta, Neama Abdalla, Hassan El-Ramady and József Prokisch
Water 2026, 18(13), 1551; https://doi.org/10.3390/w18131551 (registering DOI) - 25 Jun 2026
Abstract
Nanotechnology offers transformative potential for wastewater treatment, yet its full-scale implementation remains bottlenecked by the “lab–reality gap”. While bench-scale studies using idealized matrices report outstanding pollutant removal efficiencies, performance routinely deteriorates in authentic wastewater due to complex matrix interferences, natural organic matter (NOM)
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Nanotechnology offers transformative potential for wastewater treatment, yet its full-scale implementation remains bottlenecked by the “lab–reality gap”. While bench-scale studies using idealized matrices report outstanding pollutant removal efficiencies, performance routinely deteriorates in authentic wastewater due to complex matrix interferences, natural organic matter (NOM) competitive binding, fouling dynamics, and unpredictable nano–bio transformations. Moving beyond traditional reviews that focus heavily on material synthesis and theoretical capacities, this review provides a novel, systems-oriented, and function-driven perspective on environmental nanotechnology. We critically evaluate the operational stability and behavior of nano-enabled systems under realistic conditions, categorizing nanomaterial roles into reactive interfaces, selective barriers, signal generators, and biological modulators. Crucially, this work examines the synergistic integration of nanotechnology with advanced oxidation processes (AOPs), membrane bioreactors, and digital intelligence—including artificial intelligence (AI) and real-time nanosensing—to achieve smart fouling management and circular resource recovery. Finally, we propose a comprehensive, multidimensional evaluation framework that simultaneously assesses technical efficiency, stability, scalability, economic feasibility, environmental safety, and system compatibility. This review delivers a pragmatic roadmap to bridge the chasm between isolated laboratory discovery and robust, sustainable, field-scale wastewater engineering.
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(This article belongs to the Special Issue Advanced Wastewater Treatment Technologies with the Potential to Achieve Resource Recycling)
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Nitrogen Sources and Transformation Pathways in a Highly Urbanized Shallow Aquifer: Insights from an Integrated Hydrochemical and Isotopic Approach Incorporating δ15N-DON
by
Lan Anh Phung Thi, Yuki Itoh, Seongwon Lee, Masaya Yasuhara, Ryuga Ono and Takashi Nakamura
Water 2026, 18(13), 1550; https://doi.org/10.3390/w18131550 (registering DOI) - 25 Jun 2026
Abstract
This study investigates nitrogen sources and biogeochemical pathways in a highly urbanized shallow aquifer in Shinagawa Ward, Tokyo, using an integrated approach combining hydrochemical analysis, multivariate statistics (PCA and K-means cluster analysis), and stable nitrogen isotopes (δ15N-NH4+, δ
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This study investigates nitrogen sources and biogeochemical pathways in a highly urbanized shallow aquifer in Shinagawa Ward, Tokyo, using an integrated approach combining hydrochemical analysis, multivariate statistics (PCA and K-means cluster analysis), and stable nitrogen isotopes (δ15N-NH4+, δ15N-NO3−, δ15N-DON, and dual δ15N–δ18O-NO3−). K-means clustering (K = 2, silhouette = 0.54) partitioned all 41 samples into a background group (n = 34) and an ion-enriched group (n = 7; wells sbi 1, 2, 3, 4, 5, 13, and 19), with the latter exhibiting hydrochemical signatures consistent with localized sewage leakage. The convergence of hydrochemical, multivariate, and isotopic evidence suggests that soil organic matter may represent the dominant diffuse background source of nitrogen across the study area. DON constitutes the dominant fraction of total dissolved nitrogen (TDN), while the linear correlations between TDN and DON concentrations (r = 0.77, p < 0.001) and between δ15N-TDN and δ15N-DON (r = 0.88, p < 0.001) indicate a common primary source. The dominance of DON combined with the theoretical inverse relationship between δ15N-DON and DON concentration is consistent with active soil DON mineralization, supported by an isotope fractionation factor (ε = −4.4 ± 0.78‰). Dual isotope analysis of NO3− (δ15N–N–δ18O slope = 0.51) points towards denitrification as an ongoing process in the aquifer. Taken together, the isotopic variations among nitrogen species suggest a transformation sequence from soil organic nitrogen → DON → NH4+/NO3− → N2, though each step in this sequence is supported to varying degrees of confidence. These findings highlight the value of δ15N-DON as a tracer for nitrogen source attribution and cycling in urban groundwater systems, and underscore the importance of considering all dissolved nitrogen fractions in contamination assessments.
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(This article belongs to the Section Water Quality and Contamination)
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Annual Changes in the Feeding Ecology of Blackfin Flounder (Glyptocephalus stelleri) in the East Sea of Korea
by
Seung Hyun Son, Hyeon Ji Kim, Sang Chul Yoon, Dae-Hyeon Kwon, Hawsun Sohn and Do-Gyun Kim
Water 2026, 18(13), 1549; https://doi.org/10.3390/w18131549 (registering DOI) - 25 Jun 2026
Abstract
A total of 3930 blackfin flounder (Glyptocephalus stelleri) individuals were collected continuously on a monthly basis from the East Sea of Korea in 2024 (n = 1800) and 2025 (n = 2130). The total length ranged from 10.6 to
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A total of 3930 blackfin flounder (Glyptocephalus stelleri) individuals were collected continuously on a monthly basis from the East Sea of Korea in 2024 (n = 1800) and 2025 (n = 2130). The total length ranged from 10.6 to 44.0 cm in 2024 and from 11.9 to 49.7 cm in 2025. The major prey items differed between the years. In 2024, polychaetes (75.3%) and amphipods (12.2%) were the dominant prey items, whereas in 2025, euphausiids (33.1%), polychaetes (33.7%), and fish (17.5%) were the most important prey groups, indicating a clear interannual variation in diet composition. PERMANOVA revealed that diet composition varied significantly with year, season, and size class (p < 0.05), with a significant interaction between the year and season. These patterns were consistently supported by the CAP ordination, which showed a clear separation of samples along the seasonal gradient on the CAP1 axis, with additional variations associated with the year and size class observed within the respective seasonal groupings. Ultimately, these results suggest that G. stelleri functions as an opportunistic feeder that is capable of shifting its diet in response to environmental fluctuations. This study aims to provide scientific data for efficient fishery resource management and ecosystem-based assessments in response to future climate change.
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(This article belongs to the Section Biodiversity and Functionality of Aquatic Ecosystems)
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Comparative Study of UV-Based AOPs for Degradation of Hydrophilic Ribavirin and Hydrophobic Chloroquine Phosphate: Performance, Radical Pathways, EEO, and Water Matrix Effects
by
Xicheng Wang, Junqi Jia, Zhangbin Pan, Congcong Li, Zhenqi Du and Ruibao Jia
Water 2026, 18(13), 1548; https://doi.org/10.3390/w18131548 (registering DOI) - 25 Jun 2026
Abstract
Ribavirin (RBV) and chloroquine phosphate (CQP) are two typical pharmaceutical contaminants with distinct hydrophilic (RBV) and hydrophobic (CQP) properties. This polarity contrast led to markedly different degradation behaviors. Interestingly, hydrophobic CQP consistently degraded faster and with lower EEO than hydrophilic RBV across
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Ribavirin (RBV) and chloroquine phosphate (CQP) are two typical pharmaceutical contaminants with distinct hydrophilic (RBV) and hydrophobic (CQP) properties. This polarity contrast led to markedly different degradation behaviors. Interestingly, hydrophobic CQP consistently degraded faster and with lower EEO than hydrophilic RBV across all combined systems, highlighting pollutant polarity as a key determinant. This study systematically compared their degradation by three UV-based advanced oxidation processes (UV/AOPs): UV/H2O2, UV/PMS, and UV/KMnO4. Degradation kinetics, electrical energy per order (EEO), radical pathways, and water matrix effects were investigated. Sole UV or sole oxidant achieved negligible removal (<7.2%). All UV/AOPs greatly enhanced degradation in a dose-dependent manner. At equal molar oxidant concentration (0.2 mM), the efficiency order was UV/PMS > UV/H2O2 ≫ UV/KMnO4, with the gap widening at higher dosages. UV/H2O2 exhibited the best overall performance, with remarkably low EEO values (0.59 kWh/m3 for RBV and 0.46 kWh/m3 for CQP at 0.2 mM), whereas UV/PMS showed faster kinetics but much higher energy consumption (e.g., 28.67 kWh/m3 for RBV and 28.60 kWh/m3 for CQP at 0.4 mM) and secondary pollution risks. UV/KMnO4 had low energy but poor degradation. Radical quenching experiments revealed that in UV/H2O2, hydroxyl radicals (•OH) predominantly drove degradation regardless of pollutant polarity. In UV/PMS, •OH primarily drove RBV degradation, while CQP removal involved the combined action of •OH, sulfate radicals (SO4•−), and other reactive species. For the optimal UV/H2O2 process, acidic pH (5.0) favored degradation; Cl− slightly promoted CQP removal but inhibited RBV, whereas SO42−, CO32−, and HCO3− suppressed both pollutants. Collectively, UV/H2O2 is recommended as the most energy-efficient and robust UV/AOP for treating both hydrophilic and hydrophobic pharmaceuticals, with the additional insight that pollutant polarity governs both degradation kinetics and radical mechanisms.
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(This article belongs to the Special Issue Advanced Functional Materials for Water Pollution Control and Wastewater Treatment)
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Gas-Phase Chlorinated Organic Solvent Plume Analysis Through Numerical Simulation
by
Debbie F. Sulca, Bulbul Ahmmed, Noah F. Hobbs, Terry A. Miller, Kevin D. Reid and Philip H. Stauffer
Water 2026, 18(13), 1547; https://doi.org/10.3390/w18131547 (registering DOI) - 25 Jun 2026
Abstract
At subsurface waste disposal sites, degradation of containment materials can cause leaks of chlorinated volatile organic compounds (Cl-VOCs) in the vadose zone. Material Disposal Area L (MDA L) is a heavily monitored waste site at Los Alamos National Laboratory in Northern New Mexico
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At subsurface waste disposal sites, degradation of containment materials can cause leaks of chlorinated volatile organic compounds (Cl-VOCs) in the vadose zone. Material Disposal Area L (MDA L) is a heavily monitored waste site at Los Alamos National Laboratory in Northern New Mexico where a sharp increase in contaminant concentrations was measured in February 2019. Subsequently, soil vapor extraction (SVE) was performed as part of an ongoing interim measure. Here, we demonstrate a new method to introduce possible leakage within an existing numerical framework to bound possible leakage related to concentration increases seen in site monitoring data. A previously calibrated three-dimensional (3-D) model for SVE at MDA L is used to simulate the three conceptual stages from June 2017 to July 2024. The three conceptual stages based on the observed events are: leakage, passive diffusion, and soil vapor extraction. We use a 3-D multiphase flow simulator to introduce a simulated leak and attempt to approximately match monitoring data collected in February 2019, May 2024, and July 2024. After approximately matching the observed leak, outputs from the 3-D simulations were used to quantify the simulated mass of Cl-VOC leaked. Simulated results for a leak on the order of 40 kg of Cl-VOC showed general agreement with the monitoring data. Although the solution is non-unique, this paper presents a proof-of-concept addition to an existing case study, to show that a suspected subsurface container failure could create a signal consistent with the measured data and sets the stage for further analysis of future potential leak signals at the site. The work can also be adapted at other sites where changing subsurface conditions can require innovative modeling techniques to answer regulatory questions.
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(This article belongs to the Special Issue Advances in Contaminant Transport in Porous Media: Mechanisms, Remediation, and Numerical Simulation)
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Open AccessArticle
Assessment of Treatment Technologies and Research on Governance Models for Acid Mine Drainage from Closed Coal Mines in Karst Regions
by
Chong Li, Yanan Jiao, Xiaoying Zhao, Bin Yang and Bo Bai
Water 2026, 18(13), 1546; https://doi.org/10.3390/w18131546 (registering DOI) - 24 Jun 2026
Abstract
Acid mine drainage (AMD) pollution from closed coal mines in karst regions represents a major environmental challenge in the global mining industry. The complexity of hydrogeological conditions in such regions leads to significant challenges in both predictability and controllability of pollution. Taking the
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Acid mine drainage (AMD) pollution from closed coal mines in karst regions represents a major environmental challenge in the global mining industry. The complexity of hydrogeological conditions in such regions leads to significant challenges in both predictability and controllability of pollution. Taking the Yudong River Basin in Guizhou Province, Southwest China, as the study area, and based on six years (2017–2023) of systematic remediation practices and monitoring data, this study systematically evaluates the effectiveness and applicable conditions of three types of treatment technologies: centralized treatment stations, source control combined with end-of-pipe treatment, and water-sealing ecological plugging. On this basis, governance models applicable to karst regions are distilled. The results show that after six years of remediation, the number of pollution points in the Yudong River Basin decreased from 27 to 12. At the outflow section, the total Fe reduction rate reached 88.3%, the total Mn reduction rate reached 62.3%, and the proportion of contaminated river length was reduced by 78.5%. Each of the three technologies has its own applicable conditions. Centralized treatment stations, characterized by mature technology but high operational costs, are suitable for emergency transition periods. Source control combined with end-of-pipe treatment addresses both symptoms and root causes, making it applicable to complex pollution points. Water-sealing ecological plugging, although cost-controllable, carries a risk of secondary pollution in karst-developed areas. The failure of water-sealing ecological plugging technology is mainly attributed to two mechanisms: bypass flow through karst conduits and overflow induced by water level rise. Based on the six-year remediation practice, this study proposes a source control model for karst conduits centered on the core concepts of “filling, isolating, plugging, intercepting, draining, and controlling”. The implementation process consists of four stages: detailed investigation, graded optimization, stepwise implementation, and long-term monitoring. The core innovation lies in the cross-disciplinary application of coal mine water control techniques to environmental remediation, achieving a shift from passive end-of-pipe treatment to active source control. This model can provide theoretical reference and practical guidance for karst mining areas in Southwest China and other regions with similar geological conditions.
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(This article belongs to the Section Water Quality and Contamination)
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Spatiotemporal Characteristics and Quantitative Source Apportionment of Potentially Toxic Elements in the Lower Reaches of the Yellow River Based on a PMF Model
by
Duohui Zhao, Wei Zhang, Anfu Zhang, Liang Yin, Bin Yang and Lei Song
Water 2026, 18(13), 1545; https://doi.org/10.3390/w18131545 (registering DOI) - 24 Jun 2026
Abstract
The sources of potentially toxic elements (PTEs) in the lower reaches of the Yellow River (LYR) remain poorly understood due to intensive human activities in this region. To elucidate the spatiotemporal distribution characteristics and sources of PTEs, water samples were collected from both
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The sources of potentially toxic elements (PTEs) in the lower reaches of the Yellow River (LYR) remain poorly understood due to intensive human activities in this region. To elucidate the spatiotemporal distribution characteristics and sources of PTEs, water samples were collected from both mainstream and tributary sites during the dry season (DS) and flood season (FS). Concentrations of eight PTEs (Fe, Mn, Cu, Zn, Pb, As, Cr, and Hg) were determined. The single-factor pollution index, Nemerow comprehensive pollution index, statistical techniques, and the positive matrix factorization (PMF) receptor model were jointly employed to evaluate PTEs pollution levels and quantitatively apportion its sources. The results showed that PTEs concentrations in the mainstream were significantly higher than those in the tributaries, with Fe and Mn being the primary contaminants exceeding standards. During the DS, the mean concentrations of Fe and Mn were 1.33 mg/L and 0.34 mg/L, with exceedance rates of 100% and 84.2%, respectively. In contrast, both concentrations declined markedly in the FS (Fe: 0.27 mg/L; Mn: 0.112 mg/L). The PMF model identified three sources in the DS, with contribution rates of 42.1% (geogenic background and domestic sewage), 32.4% (industrial wastewater), and 25.5% (agricultural sources). In the FS, two sources were resolved, namely a mixture of non-point source pollution and domestic sewage (64.3%) and a mixture of geogenic background and industrial wastewater (35.7%). The pronounced increase in non-point source contribution during the FS highlights the role of rainfall runoff in driving pollutant input. This study provides a scientific basis for PTEs pollution control in the LYR.
Full article
(This article belongs to the Special Issue Pollution Mechanisms and Source Apportionment of Typical Pollutants in Aquatic Environments, 2nd Edition)
Open AccessArticle
Hybrid Deep Learning Models for Predicting Saltwater Intrusion in Nearshore Aquifers: Comparative Evaluation of CNN, LSTM, and DNN Architectures
by
Dilip Kumar Roy, Kowshik Kumar Saha and Bithin Datta
Water 2026, 18(13), 1544; https://doi.org/10.3390/w18131544 (registering DOI) - 24 Jun 2026
Abstract
Saltwater intrusion (SI) threatens groundwater sustainability in nearshore regions, particularly in Bangladesh, where over-extraction and sea-level rise accelerate aquifer salinization. Accurate prediction of SI dynamics is therefore critical for effective groundwater management. This study developed and evaluated several deep learning and hybrid models,
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Saltwater intrusion (SI) threatens groundwater sustainability in nearshore regions, particularly in Bangladesh, where over-extraction and sea-level rise accelerate aquifer salinization. Accurate prediction of SI dynamics is therefore critical for effective groundwater management. This study developed and evaluated several deep learning and hybrid models, including CNN, DNN, LSTM, CNN–DNN, CNN–LSTM, DNN–LSTM, and CNN–DNN–LSTM, to predict SI in a nearshore aquifer system. Predictor–response datasets were generated using the three-dimensional density-dependent flow and solute transport model FEMWATER. This study presents the first comprehensive benchmarking of standalone and hybrid CNN–DNN–LSTM models for SI prediction in a Bangladesh nearshore aquifer, supported by CRITIC–EDAS-based model ranking. Model performance was assessed using RMSE, MAE, MAD, R, IOA, a-20, NRMSE, along with CRITIC weighting and EDAS ranking. Results indicate that hybrid models integrating LSTM outperformed standalone models. The CNN–LSTM model achieved the best performance at OW1 (RMSE = 1.57 mg/L, MAE = 1.26 mg/L, R = 0.99, IOA = 0.99). The DNN–LSTM model performed best at OW2 (RMSE = 2.87 mg/L, IOA = 0.98, R = 0.97) and OW3 (RMSE = 1.95 mg/L, IOA = 0.99, R = 0.99). In contrast, the DNN model showed poor performance, while the CNN model demonstrated moderate performance and the LSTM model underperformed. Overall, the hybrid CNN–LSTM and DNN–LSTM models demonstrated superior accuracy and robustness for reliable SI prediction and sustainable groundwater management.
Full article
(This article belongs to the Special Issue AI, Machine Learning and Digital Twin Applications in Water, 2nd Edition)
Open AccessArticle
Evaluation of Travel–Time Definitions for Thermal Tracer Tomography Under Varying Data Density: A Laboratory Sandbox Study
by
Yang Song, Rui Hu, Lirui Fan and Huiyang Qiu
Water 2026, 18(13), 1543; https://doi.org/10.3390/w18131543 (registering DOI) - 24 Jun 2026
Abstract
Travel–time-based thermal tracer tomography (TTT) has emerged as a promising technique for characterizing aquifer heterogeneity. However, the influence of travel–time definitions and data density on inversion performance is not well understood. In this study, we present a controlled two-dimensional sandbox experiment designed to
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Travel–time-based thermal tracer tomography (TTT) has emerged as a promising technique for characterizing aquifer heterogeneity. However, the influence of travel–time definitions and data density on inversion performance is not well understood. In this study, we present a controlled two-dimensional sandbox experiment designed to systematically investigate three travel–time definitions (early-time t10, intermediate t50, and peak-time tpeak) under data-rich (32 travel times) and data-sparse (10 travel times) conditions. The obtained hydraulic conductivity (K) fields are benchmarked against permeameter measurements and a geostatistical inversion that assimilates dense steady-state head observations. The results demonstrate that all three travel–time definitions satisfactorily reproduce the primary layered heterogeneity when abundant travel–time data are available, with t50 and tpeak providing marginally better structural fidelity under data-rich conditions. However, only the early-time t10 definition preserves the spatial continuity of dominant geological structures under data-sparse conditions, exhibiting superior robustness. All TTT inversions systematically underestimate the K ranges and exhibit pronounced range compression, whereas the geostatistical inversion overestimates K and introduces spurious high-value extremes. Forward thermal transport simulations reveal that TTT-derived K fields yield systematically delayed thermal breakthroughs, while the geostatistical inversion yields more accurate predictions. These findings highlight the critical interplay between travel–time diagnostics and observation density. They also underscore the necessity of jointly inverting hydraulic and thermal data to overcome the limitations of single-dataset approaches for reliable aquifer characterization and transport prediction.
Full article
(This article belongs to the Special Issue Hydrogeophysical Methods and Hydrogeological Models)
Open AccessArticle
SWMM-Based Hydrological Modelling of Blue-Green Infrastructure for Climate-Resilient Stormwater Management and Urban Flood Reduction Under the 25-Year Return Period Extreme Rainfall Scenario in F-North and G-North Wards of Greater Mumbai, India
by
Vedanti Kelkar, Vishal Solanki and Peter Krebs
Water 2026, 18(13), 1542; https://doi.org/10.3390/w18131542 (registering DOI) - 24 Jun 2026
Abstract
Indian metropolitan cities such as Mumbai grapple with rapid urbanisation, extreme urban density, high built-up areas, loss of green cover, and shrinking open spaces, resulting in increased impermeable surfaces, urban heat island effects, and frequent flooding occurrences. Modern stormwater management has increasingly been
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Indian metropolitan cities such as Mumbai grapple with rapid urbanisation, extreme urban density, high built-up areas, loss of green cover, and shrinking open spaces, resulting in increased impermeable surfaces, urban heat island effects, and frequent flooding occurrences. Modern stormwater management has increasingly been characterised by integrated grey-green approaches; however, cities in the Global North benefit from established policies, technical expertise, and financial resources that enable the systematic and large-scale integration of Blue-Green Infrastructure (BGI) through district-wide geospatial assessment frameworks, unlike many cities in the Global South. Despite growing interest in nature-based stormwater solutions, there remains a dearth of geospatial empirical research from India examining the placement, distribution, performance, and functionality of BGI integrated with existing stormwater management systems in cities such as Mumbai. Furthermore, hydrological modelling using tools such as the Storm Water Management Model (SWMM) for the design, planning, and implementation of BGI in Indian cities remains largely unexplored. This study explores the role of BGI strategies in improving urban stormwater management within high-density Indian cities under a 25-year return period extreme rainfall scenario. Using an integrated approach that combines QGIS-based spatial analysis with EPA-SWMM hydrologic-hydraulic modelling, the research examines runoff behaviour, identifies flooding hotspots, and evaluates the effectiveness of Low Impact Development (LID)-based BGI measures such as permeable pavements, infiltration trenches, and green roofs applied at the ward level in Mumbai’s F/North and G/North Wards. Detailed land use classification, spatial mapping, and rainfall simulation corresponding specifically to a 25-year return period rainfall event was used to assess pre- and post-intervention conditions. The findings indicate that the applied BGI measures led to a 12.6% reduction in peak runoff (137.6 m3/s to 120.2 m3/s) and a 5.5% decrease in total runoff volume (783,510 m3 to 740,410 m3). More importantly, the peak flooding flow rate decreased by 45% (94.1 m3/s to 51.7 m3/s), demonstrating that BGI measures can efficiently reduce peak flooding flows by extending runoff hydrographs during extreme rainfall events. These findings are specifically applicable to the simulated 25-year return period extreme rainfall scenario and may vary under different rainfall intensities or return periods. Less extreme events could potentially experience even greater relative reductions or prevent flooding altogether, while also easing downstream hydraulic loads. Overall, strategically placed BGI interventions can significantly reduce surface runoff and peak flow, thereby enhancing stormwater resilience within spatially constrained urban environments. This study provides a replicable, data-driven framework for catchment-scale stormwater planning in dense Indian cities under extreme rainfall conditions, offering practical insights into methods, local contextual considerations, and spatial planning strategies for policymakers and urban planners seeking to retrofit and adapt existing infrastructure under increasing hydrologic stress and climate variability.
Full article
(This article belongs to the Section Hydrology)
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Open AccessArticle
The Impact of PFAS on Soil Surface Wettability
by
Xuexiang He and Mark L. Brusseau
Water 2026, 18(13), 1541; https://doi.org/10.3390/w18131541 (registering DOI) - 24 Jun 2026
Abstract
Per- and polyfluoroalkyl substances (PFAS) are a group of anthropogenically manufactured chemicals widely detected in the environment. Characterizing their transport and fate in soil is important for assessing the potential of their human exposure and health impact. However, to date, few studies have
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Per- and polyfluoroalkyl substances (PFAS) are a group of anthropogenically manufactured chemicals widely detected in the environment. Characterizing their transport and fate in soil is important for assessing the potential of their human exposure and health impact. However, to date, few studies have been conducted to investigate the influence of PFAS on soil physical properties. This study investigates the impact of PFAS exposure on the surface wettability of soil via contact angle (θ) measurements. Contact angle was measured based on the fluid uptake rate in the Washburn capillary rise (WCR) method. Contact angles were measurably affected by the presence of 0.5 µg/g PFAS, with an increase of 4.5–6.8% for the exposed Accusand 40/50 and a decrease of 3.6–16% for the exposed Eustis soil, after 7 days of contact. The changes were attributed to the modification of the surface properties caused by the adsorbed PFAS. These results demonstrate that PFAS can potentially alter the surface properties of soils, which could subsequently impact soil hydraulic properties as well as affect geochemical interactions.
Full article
(This article belongs to the Section Soil and Water)
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Open AccessEditorial
Novel Applications of Surface Water–Groundwater Modeling
by
Il-Moon Chung, Sun Woo Chang and Ryan Bailey
Water 2026, 18(13), 1540; https://doi.org/10.3390/w18131540 (registering DOI) - 24 Jun 2026
Abstract
Water resources systems are inherently complex, governed by dynamic interactions between surface water and groundwater across multiple spatial and temporal scales [Contribution 1] [...]
Full article
(This article belongs to the Special Issue Novel Applications of Surface Water–Groundwater Modeling)
Open AccessArticle
Revisiting Resilience in the Water–Energy–Food Nexus: A Spatial, Non-Compensatory Self-Sufficiency Framework
by
G.-Fivos Sargentis, Levon Gevorkov and Theano Iliopoulou
Water 2026, 18(13), 1539; https://doi.org/10.3390/w18131539 (registering DOI) - 23 Jun 2026
Abstract
We propose a quantitative, spatially explicit framework for assessing local self-sufficiency and resilience within the Water–Energy–Food (WEF) Nexus. The methodology introduces normalized, per capita indicators that quantify the degree of dependence on local versus external resources, explicitly incorporating physical availability, renewability, energy requirements,
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We propose a quantitative, spatially explicit framework for assessing local self-sufficiency and resilience within the Water–Energy–Food (WEF) Nexus. The methodology introduces normalized, per capita indicators that quantify the degree of dependence on local versus external resources, explicitly incorporating physical availability, renewability, energy requirements, infrastructure, and land-use constraints. In contrast to conventional composite indices, the proposed framework adopts a non-compensatory structure, whereby deficiencies in one sector cannot be offset by surpluses in another, reflecting the physical constraints of the nexus. Indicator values range from 0 (complete dependence on external resources) to 1 (full local self-sufficiency) and are formulated dynamically, enabling comparison across existing conditions and alternative infrastructural or policy scenarios. The framework is applied as a proof of concept to a small rural settlement in North Euboea, Greece. The results indicate substantial potential for food and renewable energy self-sufficiency under optimized infrastructure configurations, while also revealing critical vulnerabilities associated with groundwater-dependent water supply and seasonal energy imbalances. The analysis further demonstrates how spatial proximity, energy–water coupling, and land-use competition jointly constrain achievable self-sufficiency levels, highlighting trade-offs that are often overlooked in sectoral or purely volumetric assessments. By explicitly linking resource flows with spatial proximity and infrastructural choices, the proposed indicators provide a robust and transparent tool for resilience-oriented planning under conditions of climatic, environmental, and systemic uncertainty.
Full article
(This article belongs to the Special Issue Water–Energy–Food Nexus: Tools and Strategies for Resilient Growth)
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