Pub Date : 2026-01-01Epub Date: 2025-12-08DOI: 10.1016/j.wroa.2025.100464
Chaoran Li , Yelong He , Qifan Zhang , Lin Zhao , Zhonglai Zhou , Yuxiu Zhang , Pengpeng Yu , Min Xu
Microplastics (MPs) are known to promote the spread of antibiotic resistance genes (ARGs) through biofilm formation, pollutant co-selection, and enhanced horizontal gene transfer (HGT). However, emerging evidence suggests that aged microplastics (A-MPs) may, under certain conditions, exert inhibitory effects via two coupled mechanisms: radical-mediated suppression of cellular and extracellular DNA, and plasmid-level interference with replication and transfer. Photo-oxidative aging introduces oxygen-containing functional groups and enables the surface generation of environmentally persistent free radicals (EPFRs) and reactive oxygen species (ROS), especially hydroxyl radicals (•OH). These reactive intermediates can damage cell membranes, inhibit biofilm formation, and fragment extracellular DNA, reducing conjugation and transformation frequencies. Meanwhile, nanoscale or highly concentrated A-MPs can suppress plasmid replication, particularly of low-copy plasmids, and hinder donor. recipient contact through aggregation and spatial hindrance, thereby decreasing HGT efficiency. A concentration–size–replication relationship reconciles the duality of observed effects: smaller or low-dose MPs may transiently enhance permeability and uptake, whereas higher radical fluxes and aggregation shift systems toward inhibition. This review consolidates current evidence and proposes that the oxidative microenvironments associated with aged microplastics may indirectly constrain ARG dissemination, providing a new hypothesis and research direction for understanding their ecological role in antibiotic resistance dynamics.
{"title":"The unexpected role of aged microplastics in inhibiting antibiotic resistance gene spread","authors":"Chaoran Li , Yelong He , Qifan Zhang , Lin Zhao , Zhonglai Zhou , Yuxiu Zhang , Pengpeng Yu , Min Xu","doi":"10.1016/j.wroa.2025.100464","DOIUrl":"10.1016/j.wroa.2025.100464","url":null,"abstract":"<div><div>Microplastics (MPs) are known to promote the spread of antibiotic resistance genes (ARGs) through biofilm formation, pollutant co-selection, and enhanced horizontal gene transfer (HGT). However, emerging evidence suggests that aged microplastics (A-MPs) may, under certain conditions, exert inhibitory effects via two coupled mechanisms: radical-mediated suppression of cellular and extracellular DNA, and plasmid-level interference with replication and transfer. Photo-oxidative aging introduces oxygen-containing functional groups and enables the surface generation of environmentally persistent free radicals (EPFRs) and reactive oxygen species (ROS), especially hydroxyl radicals (•OH). These reactive intermediates can damage cell membranes, inhibit biofilm formation, and fragment extracellular DNA, reducing conjugation and transformation frequencies. Meanwhile, nanoscale or highly concentrated A-MPs can suppress plasmid replication, particularly of low-copy plasmids, and hinder donor. recipient contact through aggregation and spatial hindrance, thereby decreasing HGT efficiency. A concentration–size–replication relationship reconciles the duality of observed effects: smaller or low-dose MPs may transiently enhance permeability and uptake, whereas higher radical fluxes and aggregation shift systems toward inhibition. This review consolidates current evidence and proposes that the oxidative microenvironments associated with aged microplastics may indirectly constrain ARG dissemination, providing a new hypothesis and research direction for understanding their ecological role in antibiotic resistance dynamics.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100464"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-12-14DOI: 10.1016/j.wroa.2025.100469
Kaifeng Zheng , Guotao Cui , Yi Xie , Yimei Liu , Xinzhong Du
Accurate water quality prediction is critical for water resource management, yet task-specific models are often limited by their reliance on extensive training data. The emergence of large time series foundation models presents a promising yet unexplored solution for water quality forecasting under data scarcity. This study evaluates Chronos, an advanced time series foundation model using the T5 large language model (LLM), against a suite of task-specific benchmark models (i.e., RF, MLP, LSTM, Transformer, XGBoost, LightGBM, KAN, PatchTST, and Crossformer). We evaluated their performances in predicting total nitrogen (TN) at 12 stations in the Huang-Huai-Hai River basin of China under varying data availability ratios (20%-100%) and different forecast ahead times (4-48 hours). Adapting the Chronos model with station-specific data (i.e., fine-tuning) yields superior performance compared to using the model’s general, pre-trained capabilities directly (i.e., zero-shot). Fine-tuned Chronos consistently outperformed benchmark models when trained on less than 60% of available data across all ahead times, though LSTM and PatchTST achieved comparable or superior performance with sufficient training data (≥80%), particularly for medium-to-low complexity sequences. The model showed its greatest performance advantage at high-complexity stations and during peak pollution events, maintaining superiority regardless of data availability. Through transfer learning, fine-tuned Chronos achieved cross-station generalization superior to other benchmark models, and we found this transferability is dictated by water-quality-data complexity. This study first evaluated the large time series foundation models as a powerful and data-efficient tool for environmental science, poised to remarkably improve pollution prediction and water resource management, especially in data-scarce regions.
{"title":"Time series foundation model chronos enhances nitrogen forecasting under data scarcity","authors":"Kaifeng Zheng , Guotao Cui , Yi Xie , Yimei Liu , Xinzhong Du","doi":"10.1016/j.wroa.2025.100469","DOIUrl":"10.1016/j.wroa.2025.100469","url":null,"abstract":"<div><div>Accurate water quality prediction is critical for water resource management, yet task-specific models are often limited by their reliance on extensive training data. The emergence of large time series foundation models presents a promising yet unexplored solution for water quality forecasting under data scarcity. This study evaluates Chronos, an advanced time series foundation model using the T5 large language model (LLM), against a suite of task-specific benchmark models (i.e., RF, MLP, LSTM, Transformer, XGBoost, LightGBM, KAN, PatchTST, and Crossformer). We evaluated their performances in predicting total nitrogen (TN) at 12 stations in the Huang-Huai-Hai River basin of China under varying data availability ratios (20%-100%) and different forecast ahead times (4-48 hours). Adapting the Chronos model with station-specific data (i.e., fine-tuning) yields superior performance compared to using the model’s general, pre-trained capabilities directly (i.e., zero-shot). Fine-tuned Chronos consistently outperformed benchmark models when trained on less than 60% of available data across all ahead times, though LSTM and PatchTST achieved comparable or superior performance with sufficient training data (≥80%), particularly for medium-to-low complexity sequences. The model showed its greatest performance advantage at high-complexity stations and during peak pollution events, maintaining superiority regardless of data availability. Through transfer learning, fine-tuned Chronos achieved cross-station generalization superior to other benchmark models, and we found this transferability is dictated by water-quality-data complexity. This study first evaluated the large time series foundation models as a powerful and data-efficient tool for environmental science, poised to remarkably improve pollution prediction and water resource management, especially in data-scarce regions.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100469"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924961","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2026-02-05DOI: 10.1016/j.wroa.2026.100507
Shih-Hsuan Lin , Philipp Kuntke , Sanne M. de Smit , Hubertus V.M. Hamelers , Maria Cristina Gagliano
The hydrogenotrophic conversion of carbon dioxide (CO2) and hydrogen (H2) gases to methane (CH4), presents a viable alternative to fossil-based natural gas. While different bioreactors have been investigated, the key challenge in these systems is overcoming mass transfer limitations of H2 to hydrogenotrophic archaea due to its low solubility. Ideally, optimal H2 bioavailability is achieved at thermophilic temperatures, directly feeding the gas to the biomass. In this study, a membrane biofilm reactor (MBfR) with gas-permeable polydimethylsiloxane (PDMS) membranes was designed to support methanogenic biofilm formation and enhance CO2 and H2 conversion under minimal mixing conditions, in a closed-loop and without additional nutrients supplementation. Over the 437-day operation, a thick, proteins-rich biofilm developed on the membrane. High-purity methane (≈95 %) was produced, and a >95 % conversion efficiency to methane was achieved for CO2 and H2. The MBfR sustained high methane production 397 days without additional nutrient supply, and reach the highest methane production rate of 24.3 L·m-2·day-1 after trace element supplementation, likely replenishing molybdenum. In both biofilm and mixed liquor, the microbial community was dominated by the hydrogenotrophic methanogen Methanothermobacter together with a new Hydrothermae spp. bacterium, likely utilizing H2 and CO2 for homoacetogenesis and/or fermenting detrital biomass. The stable microbial community functions ensured a complete anaerobic digestion metabolic chain, allowing for nutrients recycling and metals mobilization. The MBfR design presented in this study offers a promising strategy for scalable, energy-efficient biological methanation optimizing H2 utilization with minimal nutrient input.
{"title":"Membrane biofilm reactor (MBfR) enabling optimal H2 delivery and supporting minimal nutrient supplementation to hydrogenotrophic biofilms","authors":"Shih-Hsuan Lin , Philipp Kuntke , Sanne M. de Smit , Hubertus V.M. Hamelers , Maria Cristina Gagliano","doi":"10.1016/j.wroa.2026.100507","DOIUrl":"10.1016/j.wroa.2026.100507","url":null,"abstract":"<div><div>The hydrogenotrophic conversion of carbon dioxide (CO<sub>2</sub>) and hydrogen (H<sub>2</sub>) gases to methane (CH<sub>4</sub>), presents a viable alternative to fossil-based natural gas. While different bioreactors have been investigated, the key challenge in these systems is overcoming mass transfer limitations of H<sub>2</sub> to hydrogenotrophic archaea due to its low solubility. Ideally, optimal H<sub>2</sub> bioavailability is achieved at thermophilic temperatures, directly feeding the gas to the biomass. In this study, a membrane biofilm reactor (MBfR) with gas-permeable polydimethylsiloxane (PDMS) membranes was designed to support methanogenic biofilm formation and enhance CO<sub>2</sub> and H<sub>2</sub> conversion under minimal mixing conditions, in a closed-loop and without additional nutrients supplementation. Over the 437-day operation, a thick, proteins-rich biofilm developed on the membrane. High-purity methane (≈95 %) was produced, and a >95 % conversion efficiency to methane was achieved for CO<sub>2</sub> and H<sub>2</sub>. The MBfR sustained high methane production 397 days without additional nutrient supply, and reach the highest methane production rate of 24.3 L·m<sup>-2</sup>·day<sup>-1</sup> after trace element supplementation, likely replenishing molybdenum. In both biofilm and mixed liquor, the microbial community was dominated by the hydrogenotrophic methanogen <em>Methanothermobacter</em> together with a new <em>Hydrothermae</em> spp. bacterium, likely utilizing H<sub>2</sub> and CO<sub>2</sub> for homoacetogenesis and/or fermenting detrital biomass. The stable microbial community functions ensured a complete anaerobic digestion metabolic chain, allowing for nutrients recycling and metals mobilization. The MBfR design presented in this study offers a promising strategy for scalable, energy-efficient biological methanation optimizing H<sub>2</sub> utilization with minimal nutrient input.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100507"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2026-01-26DOI: 10.1016/j.wroa.2026.100501
Mengyao An , Qiang Liu , Zhaocai Wang , Yecang Chen
Dissolved oxygen (DO) is a fundamental indicator for aquatic ecological health and algal bloom early warning. To address the limitations of existing models in capturing multi-scale features and their reliance on empirical parameter tuning, this study proposes a novel integrated framework. First, a four-dimensional feature system incorporating target, peripheral, upstream, and meteorological variables is constructed. Second, the original DO series is decomposed into long-term trends and short-term fluctuations using Variational Mode Decomposition (VMD) and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). An Improved Dung Beetle Optimization algorithm (IDBO) automatically optimizes the hyperparameters of VMD and the subsequent Convolutional Neural Network (CNN). The model employs a heterogeneous architecture where CNN extracts localized short-term features and an Improved Transformer (iTransformer) captures long-term dependencies. Experimental results at Lake Taihu and Dongting Lake sites demonstrate superior performance, with R² values reaching 0.9968 and 0.9942, significantly outperforming baseline models. Ablation studies confirm the substantial contributions of dual-modal decomposition and IDBO optimization. Furthermore, a stair-step water temperature control-oriented mechanism is established as a model-driven hypothetical control strategy, which proactively modulates DO levels by introducing a constant C. Setting C = 3 significantly increased the appropriate DO compliance rates from 30.3% and 74.7% to 61.9% and 97.2% at the two sites, respectively. This research provides a reliable closed-loop control-oriented technical pathway from precise prediction to active management for lake water quality, with the control-oriented mechanism based on the significant associative relationship between water temperature and DO rather than formal statistical causal inference.
{"title":"Fusing multi-dimensional features with heterogeneous deep learning for robust dissolved oxygen prediction and control-oriented regulation analysis in complex lakes","authors":"Mengyao An , Qiang Liu , Zhaocai Wang , Yecang Chen","doi":"10.1016/j.wroa.2026.100501","DOIUrl":"10.1016/j.wroa.2026.100501","url":null,"abstract":"<div><div>Dissolved oxygen (DO) is a fundamental indicator for aquatic ecological health and algal bloom early warning. To address the limitations of existing models in capturing multi-scale features and their reliance on empirical parameter tuning, this study proposes a novel integrated framework. First, a four-dimensional feature system incorporating target, peripheral, upstream, and meteorological variables is constructed. Second, the original DO series is decomposed into long-term trends and short-term fluctuations using Variational Mode Decomposition (VMD) and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). An Improved Dung Beetle Optimization algorithm (IDBO) automatically optimizes the hyperparameters of VMD and the subsequent Convolutional Neural Network (CNN). The model employs a heterogeneous architecture where CNN extracts localized short-term features and an Improved Transformer (iTransformer) captures long-term dependencies. Experimental results at Lake Taihu and Dongting Lake sites demonstrate superior performance, with R² values reaching 0.9968 and 0.9942, significantly outperforming baseline models. Ablation studies confirm the substantial contributions of dual-modal decomposition and IDBO optimization. Furthermore, a stair-step water temperature control-oriented mechanism is established as a model-driven hypothetical control strategy, which proactively modulates DO levels by introducing a constant <em>C</em>. Setting <em>C</em> = 3 significantly increased the appropriate DO compliance rates from 30.3% and 74.7% to 61.9% and 97.2% at the two sites, respectively. This research provides a reliable closed-loop control-oriented technical pathway from precise prediction to active management for lake water quality, with the control-oriented mechanism based on the significant associative relationship between water temperature and DO rather than formal statistical causal inference.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100501"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146077344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2025-12-23DOI: 10.1016/j.wroa.2025.100474
Qiang Liu , Fengjiao Zhao , Chuanxing Zheng , Jijian Lian , Zhixiang Da , Maozhi Duan
With rapid urbanization, urban flooding has become increasingly severe, challenging conventional drainage systems. This study proposes an optimization framework for collaborative urban drainage that integrates Urban Micro-Watercourses (UMW), Low Impact Development (LID) facilities, and conventional drainage networks into a unified multi-level regulation system. The framework consists of two core modules: (1) an intelligent optimization module for LID facility planning, automatically determining optimal allocation ratios to maximize hydrological control; and (2) a layout optimization module for UMW, dynamically refining the spatial configuration of UMW networks to enhance collaborative drainage capacity. By establishing coordinated coupling among LID facilities, UMW networks, and conventional drainage systems, the framework enables integrated operation and resource sharing across subsystems, improving overall system performance and resilience. The parallelized framework led to a 46.8-fold increase in LID optimization efficiency and a 192.3-fold increase in UMW optimization efficiency. A case study in the Fangzhuang area of Beijing, under extreme rainfall scenarios with 5-, 10-, and 50-year return periods, showed total accumulated water volume reduced by 51.2 %–68.1 % and overflow points decreased by 18.1 %–73.3 %. Compared with the optimal LID scheme, the UMW–LID–pipe network coupling further reduced water volume by 7.85 %–21.77 % and overflow points by up to 64.94 %, substantially alleviating pressure on drainage infrastructure. The results demonstrate that the proposed framework provides an innovative and scalable approach for sustainable urban stormwater management and flood resilience.
{"title":"Optimization framework for urban flood mitigation strategies considering collaborative drainage mechanisms","authors":"Qiang Liu , Fengjiao Zhao , Chuanxing Zheng , Jijian Lian , Zhixiang Da , Maozhi Duan","doi":"10.1016/j.wroa.2025.100474","DOIUrl":"10.1016/j.wroa.2025.100474","url":null,"abstract":"<div><div>With rapid urbanization, urban flooding has become increasingly severe, challenging conventional drainage systems. This study proposes an optimization framework for collaborative urban drainage that integrates Urban Micro-Watercourses (UMW), Low Impact Development (LID) facilities, and conventional drainage networks into a unified multi-level regulation system. The framework consists of two core modules: (1) an intelligent optimization module for LID facility planning, automatically determining optimal allocation ratios to maximize hydrological control; and (2) a layout optimization module for UMW, dynamically refining the spatial configuration of UMW networks to enhance collaborative drainage capacity. By establishing coordinated coupling among LID facilities, UMW networks, and conventional drainage systems, the framework enables integrated operation and resource sharing across subsystems, improving overall system performance and resilience. The parallelized framework led to a 46.8-fold increase in LID optimization efficiency and a 192.3-fold increase in UMW optimization efficiency. A case study in the Fangzhuang area of Beijing, under extreme rainfall scenarios with 5-, 10-, and 50-year return periods, showed total accumulated water volume reduced by 51.2 %–68.1 % and overflow points decreased by 18.1 %–73.3 %. Compared with the optimal LID scheme, the UMW–LID–pipe network coupling further reduced water volume by 7.85 %–21.77 % and overflow points by up to 64.94 %, substantially alleviating pressure on drainage infrastructure. The results demonstrate that the proposed framework provides an innovative and scalable approach for sustainable urban stormwater management and flood resilience.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100474"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2026-01-07DOI: 10.1016/j.wroa.2026.100488
Margareta Kračun-Kolarević , Bojana Žegura , Katja Kološa , Jovana Jovanović Marić , Andrea Novaković , Peter Oswald , Martina Oswaldova , Jaroslav Slobodnik , Nikiforos Alygizakis , Momir Paunović , Marija Ilić , Branka Vuković-Gačić , Stoimir Kolarević
The increasing complexity of aquatic pollution, dominated by diverse and often uncharacterized chemical mixtures, challenges traditional monitoring approaches. In this study, we assessed the genotoxic potential of surface water samples collected during the Joint Danube Survey 4 (JDS4) using large-volume solid-phase extraction (LVSPE) combined with a comprehensive battery of bioassays. Twenty-three enriched water samples from the Danube River and its major tributaries were evaluated for genotoxicity using a tiered testing strategy comprising the SOS/umuC assay, zebrafish liver (ZFL) cell-based assays (cytotoxicity, comet assay, cell cycle), and zebrafish embryo assays. While no genotoxicity was detected in the prokaryotic SOS/umuC assay, ZFL assays revealed significant DNA damage in 16 out of 23 samples, with notable genotoxicity observed in samples from the middle Danube section. In contrast, no teratogenic effects were observed in zebrafish embryo assays at concentrations up to REF100. These findings demonstrate the superior sensitivity of ZFL cells compared to both prokaryotic and in vivo embryo models. The study also highlights a critical gap in available genotoxicity data for detected substances, emphasizing the need for standardized databases and testing frameworks. Overall, our results support zebrafish-based in vitro assays as effective tools for effect-based monitoring, providing early warnings of genotoxic pollution in complex aquatic environments.
{"title":"Tiered genotoxicity testing of enriched river water samples using zebrafish in vitro and in vivo models: A Joint Danube Survey 4 case study","authors":"Margareta Kračun-Kolarević , Bojana Žegura , Katja Kološa , Jovana Jovanović Marić , Andrea Novaković , Peter Oswald , Martina Oswaldova , Jaroslav Slobodnik , Nikiforos Alygizakis , Momir Paunović , Marija Ilić , Branka Vuković-Gačić , Stoimir Kolarević","doi":"10.1016/j.wroa.2026.100488","DOIUrl":"10.1016/j.wroa.2026.100488","url":null,"abstract":"<div><div>The increasing complexity of aquatic pollution, dominated by diverse and often uncharacterized chemical mixtures, challenges traditional monitoring approaches. In this study, we assessed the genotoxic potential of surface water samples collected during the Joint Danube Survey 4 (JDS4) using large-volume solid-phase extraction (LVSPE) combined with a comprehensive battery of bioassays. Twenty-three enriched water samples from the Danube River and its major tributaries were evaluated for genotoxicity using a tiered testing strategy comprising the SOS/<em>umuC</em> assay, zebrafish liver (ZFL) cell-based assays (cytotoxicity, comet assay, cell cycle), and zebrafish embryo assays. While no genotoxicity was detected in the prokaryotic SOS/<em>umuC</em> assay, ZFL assays revealed significant DNA damage in 16 out of 23 samples, with notable genotoxicity observed in samples from the middle Danube section. In contrast, no teratogenic effects were observed in zebrafish embryo assays at concentrations up to REF100. These findings demonstrate the superior sensitivity of ZFL cells compared to both prokaryotic and <em>in vivo</em> embryo models. The study also highlights a critical gap in available genotoxicity data for detected substances, emphasizing the need for standardized databases and testing frameworks. Overall, our results support zebrafish-based <em>in vitro</em> assays as effective tools for effect-based monitoring, providing early warnings of genotoxic pollution in complex aquatic environments.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100488"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145976534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2026-02-05DOI: 10.1016/j.wroa.2026.100508
Moyang Li , Xiaoyu Guo , Zifu Xu , Xianhui S. Wan , Lianghao Ge , Wenbin Zou , Jun Yang , Li-Li Han , Min Xu , Shuh-Ji Kao
Thermal stratification in inland waters creates pronounced physicochemical gradients, yet a quantitative, depth-resolved understanding of how these gradients regulate nitrogen (N) dynamics remains lacking. Here, we conducted a two-year, depth-resolved study in a subtropical reservoir, quantifying uptake of ammonium (NH4+), nitrate (NO3-), and urea using the 15N tracer labeling technique. Although NO3- is the dominant component of the dissolved inorganic nitrogen (DIN) pool in the euphotic zone, NH4+ consistently sustained the majority of N assimilation, exceeding NO3- and urea uptake by approximately 7- and 11-fold, respectively, resulting in rapid NH4+ turnover (median τ≈4 days). Vertically, we observed a distinct three-layer structure of nitrogen assimilation along the light gradient: (1) phytoplankton preferentially utilized NH4+ and urea under high irradiance in the surface layer; (2) NO3- uptake peaked near the base of the euphotic zone, likely associated with low-light adapted diatoms; and (3) in the aphotic layer, substantial NH4+ assimilation persisted but decoupled from carbon fixation, indicating NH4+ consumption by heterotrophs. Our results provide a quantitative framework that refines our current view of nitrogen cycling in stratified inland waters and challenges concentration-based views of nutrient limitation. We demonstrate that effective management of eutrophication in stratified systems must account for N speciation, vertical stratification, and the distinct roles of autotrophic and heterotrophic communities.
{"title":"Depth-partitioned nitrogen uptake sustained by ammonium in a nitrate-rich reservoir","authors":"Moyang Li , Xiaoyu Guo , Zifu Xu , Xianhui S. Wan , Lianghao Ge , Wenbin Zou , Jun Yang , Li-Li Han , Min Xu , Shuh-Ji Kao","doi":"10.1016/j.wroa.2026.100508","DOIUrl":"10.1016/j.wroa.2026.100508","url":null,"abstract":"<div><div>Thermal stratification in inland waters creates pronounced physicochemical gradients, yet a quantitative, depth-resolved understanding of how these gradients regulate nitrogen (N) dynamics remains lacking. Here, we conducted a two-year, depth-resolved study in a subtropical reservoir, quantifying uptake of ammonium (NH<sub>4</sub><sup>+</sup>), nitrate (NO<sub>3</sub><sup>-</sup>), and urea using the <sup>15</sup>N tracer labeling technique. Although NO<sub>3</sub><sup>-</sup> is the dominant component of the dissolved inorganic nitrogen (DIN) pool in the euphotic zone, NH<sub>4</sub><sup>+</sup> consistently sustained the majority of N assimilation, exceeding NO<sub>3</sub><sup>-</sup> and urea uptake by approximately 7- and 11-fold, respectively, resulting in rapid NH<sub>4</sub><sup>+</sup> turnover (median τ≈4 days). Vertically, we observed a distinct three-layer structure of nitrogen assimilation along the light gradient: (1) phytoplankton preferentially utilized NH<sub>4</sub><sup>+</sup> and urea under high irradiance in the surface layer; (2) NO<sub>3</sub><sup>-</sup> uptake peaked near the base of the euphotic zone, likely associated with low-light adapted diatoms; and (3) in the aphotic layer, substantial NH<sub>4</sub><sup>+</sup> assimilation persisted but decoupled from carbon fixation, indicating NH<sub>4</sub><sup>+</sup> consumption by heterotrophs. Our results provide a quantitative framework that refines our current view of nitrogen cycling in stratified inland waters and challenges concentration-based views of nutrient limitation. We demonstrate that effective management of eutrophication in stratified systems must account for N speciation, vertical stratification, and the distinct roles of autotrophic and heterotrophic communities.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100508"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2026-02-23DOI: 10.1016/j.wroa.2026.100515
Jiajie Su , Dantong Zhu , Jiaxing Zeng , Zhuoyin Lu , Shoushu Liu , Saiyu Yuan , Xianglong Wei , Hongwu Tang , Xiangju Cheng
Drop structures are common in urban rivers, yet their ecological effects on sedimentary bacterial communities insufficiently resolved. We investigated nine artificial units (single- and dual-drop configurations) along the urbanized Yangmei River, China. Using 16S rRNA sequencing, co-occurrence networks, assembly modeling, and PICRUSt2 functional inference, and we evaluated microbial diversity, interaction architecture, assembly mechanisms, and N/P-cycling potential. The Mantel test results indicated a significant correlation between water flow velocity downstream of the drop structure and the benthic microbial community (p < 0.05). Downstream networks were more connected but less modular and contained fewer keystone taxa, indicating higher interaction complexity yet lower compartmentalization and, by inference, reduced stability to disturbance. Stochastic processes overall dominated community assembly; in sediments, dispersal limitation prevailed but weakened downstream, where homogeneous selection increased, consistent with enhanced mixing across the drop. Functional profiles suggested a systematic rise in nitrification potential downstream in both configurations, with stronger gains in dual-drop units, whereas gene sets associated with DNRA and nitrogen fixation generally declined; phosphorus-cycling markers were comparatively insensitive. In single-drop reaches, a lower (nirK + nirS)/ nosZ ratio pointed to a reduced propensity for N2O accumulation. These patterns indicate that drop structures can restructure sediment microbiomes and shift N-cycle potentials toward nitrification, potentially elevating nitrate accumulation risks under sustained nutrient loading, while possibly limiting N2O buildup in certain settings. As gene imprints reflect potential rather than process rates, targeted assays are warranted to quantify biogeochemical outcomes and inform eco-hydraulic design.
{"title":"Hydro-environmental and ecological effects of drop structure in urban river system","authors":"Jiajie Su , Dantong Zhu , Jiaxing Zeng , Zhuoyin Lu , Shoushu Liu , Saiyu Yuan , Xianglong Wei , Hongwu Tang , Xiangju Cheng","doi":"10.1016/j.wroa.2026.100515","DOIUrl":"10.1016/j.wroa.2026.100515","url":null,"abstract":"<div><div>Drop structures are common in urban rivers, yet their ecological effects on sedimentary bacterial communities insufficiently resolved. We investigated nine artificial units (single- and dual-drop configurations) along the urbanized Yangmei River, China. Using 16S rRNA sequencing, co-occurrence networks, assembly modeling, and PICRUSt2 functional inference, and we evaluated microbial diversity, interaction architecture, assembly mechanisms, and N/P-cycling potential. The Mantel test results indicated a significant correlation between water flow velocity downstream of the drop structure and the benthic microbial community (<em>p</em> < 0.05). Downstream networks were more connected but less modular and contained fewer keystone taxa, indicating higher interaction complexity yet lower compartmentalization and, by inference, reduced stability to disturbance. Stochastic processes overall dominated community assembly; in sediments, dispersal limitation prevailed but weakened downstream, where homogeneous selection increased, consistent with enhanced mixing across the drop. Functional profiles suggested a systematic rise in nitrification potential downstream in both configurations, with stronger gains in dual-drop units, whereas gene sets associated with DNRA and nitrogen fixation generally declined; phosphorus-cycling markers were comparatively insensitive. In single-drop reaches, a lower (nirK + nirS)/ nosZ ratio pointed to a reduced propensity for N<sub>2</sub>O accumulation. These patterns indicate that drop structures can restructure sediment microbiomes and shift N-cycle potentials toward nitrification, potentially elevating nitrate accumulation risks under sustained nutrient loading, while possibly limiting N<sub>2</sub>O buildup in certain settings. As gene imprints reflect potential rather than process rates, targeted assays are warranted to quantify biogeochemical outcomes and inform eco-hydraulic design.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100515"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2026-02-18DOI: 10.1016/j.wroa.2026.100512
Madeleine Wesche , Adjaia Borges , Anabela Gonçalves , Asmiralda Santos , Barbara Simões , Nilton Teixeira , Anery Katia Lima , Lazismino Lázaro , Thorsten Thye , Doris Winter , Marcos do Nascimento , Jürgen May , Rosa Maria Afonso Neto , Katia Toancha , Yardlene Sacramento Sequeira , Kathrin Schuldt
The emergence and increasing spread of Escherichia coli producing extended-spectrum -lactamase (ESBL) in water reservoirs poses a significant public health threat, particularly in low-resource settings. In this study 115 ESBL-producing E. coli (ESBL-Ec) were isolated from six community wastewater sites in São Tomé city and analyzed by long-read whole genome sequencing and bioinformatic tools. With a median read length of 2 kb and a median coverage of 76x, this approach yielded high-quality genome assemblies and associated plasmids, allowing in-depth analyses of antibiotic resistance genes (ARGs), virulence-associated genes, pathotypes, mobile genetic elements and the phylogenetic relationship of the isolates. 34% (39/115) of the bacterial isolates were known E. coli pathotypes and 22% (25/115) were found to be multidrug-resistant, including the emerging global high-risk clones ST131 and ST1193. The most frequent ARGs identified were blaCTX-M-15 in 80%, gyrA p.S83L in 57%, and sul2 in 54% of the ESBL-Ec isolates. Notably, ten of the 12 ESBL-encoding genes present in our data set were only plasmid-coded, highlighting the presence of highly mobile resistance genes in the aquatic environment. The phylogenetic analysis revealed a high genetic diversity, indicating a vast prevalence of ESBL-Ec from different sources in community wastewater in São Tomé. Our research highlights the importance of a comprehensive monitoring and management approach involving all sectors, the clinical, animal, and environmental sector to limit the spread of antibiotic resistance in areas lacking a formal sewage infrastructure.
水库中产生广谱β-内酰胺酶(ESBL)的大肠杆菌的出现和日益蔓延构成了重大的公共卫生威胁,特别是在资源匮乏的环境中。本研究从 o tom市的6个社区污水中分离出115株产esbl的大肠杆菌(ESBL-Ec),并利用长读全基因组测序和生物信息学工具对其进行了分析。该方法中位读取长度为2 kb,中位覆盖率为76x,获得了高质量的基因组组合和相关质粒,可以深入分析抗生素抗性基因(ARGs)、毒力相关基因、病原、可移动遗传元件和分离株的系统发育关系。34%(39/115)的细菌分离株为已知的大肠杆菌病原型,22%(25/115)被发现具有多重耐药,包括新出现的全球高风险克隆ST131和ST1193。最常见的ARGs是blaCTX-M-15 (80%), gyrA p.S83L(57%)和sul2(54%)。值得注意的是,在我们的数据集中存在的12个esbl编码基因中,有10个仅为质粒编码,突出了水生环境中高流动性抗性基因的存在。系统发育分析显示,ESBL-Ec具有较高的遗传多样性,表明来自不同来源的ESBL-Ec在 o tom社区废水中广泛流行。我们的研究强调了全面监测和管理方法的重要性,涉及所有部门,临床,动物和环境部门,以限制抗生素耐药性在缺乏正式污水基础设施的地区的传播。
{"title":"Genomic surveillance of ESBL-producing Escherichia coli from community wastewater in São Tomé and Príncipe","authors":"Madeleine Wesche , Adjaia Borges , Anabela Gonçalves , Asmiralda Santos , Barbara Simões , Nilton Teixeira , Anery Katia Lima , Lazismino Lázaro , Thorsten Thye , Doris Winter , Marcos do Nascimento , Jürgen May , Rosa Maria Afonso Neto , Katia Toancha , Yardlene Sacramento Sequeira , Kathrin Schuldt","doi":"10.1016/j.wroa.2026.100512","DOIUrl":"10.1016/j.wroa.2026.100512","url":null,"abstract":"<div><div>The emergence and increasing spread of <em>Escherichia coli</em> producing extended-spectrum <span><math><mi>β</mi></math></span>-lactamase (ESBL) in water reservoirs poses a significant public health threat, particularly in low-resource settings. In this study 115 ESBL-producing <em>E. coli</em> (ESBL-Ec) were isolated from six community wastewater sites in São Tomé city and analyzed by long-read whole genome sequencing and bioinformatic tools. With a median read length of 2 kb and a median coverage of 76x, this approach yielded high-quality genome assemblies and associated plasmids, allowing in-depth analyses of antibiotic resistance genes (ARGs), virulence-associated genes, pathotypes, mobile genetic elements and the phylogenetic relationship of the isolates. 34% (39/115) of the bacterial isolates were known <em>E. coli</em> pathotypes and 22% (25/115) were found to be multidrug-resistant, including the emerging global high-risk clones ST131 and ST1193. The most frequent ARGs identified were <em>bla</em><sub>CTX-M-15</sub> in 80%, <em>gyrA</em> p.S83L in 57%, and <em>sul2</em> in 54% of the ESBL-Ec isolates. Notably, ten of the 12 ESBL-encoding genes present in our data set were only plasmid-coded, highlighting the presence of highly mobile resistance genes in the aquatic environment. The phylogenetic analysis revealed a high genetic diversity, indicating a vast prevalence of ESBL-Ec from different sources in community wastewater in São Tomé. Our research highlights the importance of a comprehensive monitoring and management approach involving all sectors, the clinical, animal, and environmental sector to limit the spread of antibiotic resistance in areas lacking a formal sewage infrastructure.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100512"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147394320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-01-01Epub Date: 2026-01-27DOI: 10.1016/j.wroa.2026.100503
Xin Zhang , Runhua Wang , Yang Lei
Livestock wastewater typically contains high concentrations of nutrients and antibiotics that are difficult to remove, posing serious environmental risks. This study proposed a dual-anode electrochemical system (DA-EMSP), which simultaneously integrates a boron-doped diamond (BDD) anode for sulfadiazine (SD) degradation and a sacrificial magnesium (Mg) anode for struvite precipitation. The DA-EMSP system achieved 58.8% SD degradation and 98% phosphorus (P) recovery within 72 min of operation. However, the in-situ formation of struvite was found to hinder SD degradation efficiency, likely due to the adsorption and physical shielding of SD by the struvite precipitates. To address this, a multi-stage operation strategy was developed to conduct oxidation and precipitation sequentially. The results revealed that sequential oxidation followed by precipitation (Seq-O/P) achieved the highest SD degradation efficiency (77.6%) while maintaining complete P recovery (100%). Further analysis showed that increasing the BDD current significantly improved SD degradation (up to 93%) without significantly impacting bulk pH or Mg²⁺ release. With flexible circuit control and dual-functionality, the DA-EMSP system demonstrates strong potential as a post-treatment strategy for livestock wastewater containing both antibiotics and nutrient pollutants.
{"title":"Dual-Anode electrochemical strategy enabling struvite-based nutrient recovery coupled with antibiotic degradation","authors":"Xin Zhang , Runhua Wang , Yang Lei","doi":"10.1016/j.wroa.2026.100503","DOIUrl":"10.1016/j.wroa.2026.100503","url":null,"abstract":"<div><div>Livestock wastewater typically contains high concentrations of nutrients and antibiotics that are difficult to remove, posing serious environmental risks. This study proposed a dual-anode electrochemical system (DA-EMSP), which simultaneously integrates a boron-doped diamond (BDD) anode for sulfadiazine (SD) degradation and a sacrificial magnesium (Mg) anode for struvite precipitation. The DA-EMSP system achieved 58.8% SD degradation and 98% phosphorus (P) recovery within 72 min of operation. However, the in-situ formation of struvite was found to hinder SD degradation efficiency, likely due to the adsorption and physical shielding of SD by the struvite precipitates. To address this, a multi-stage operation strategy was developed to conduct oxidation and precipitation sequentially. The results revealed that sequential oxidation followed by precipitation (Seq-O/P) achieved the highest SD degradation efficiency (77.6%) while maintaining complete P recovery (100%). Further analysis showed that increasing the BDD current significantly improved SD degradation (up to 93%) without significantly impacting bulk pH or Mg²⁺ release. With flexible circuit control and dual-functionality, the DA-EMSP system demonstrates strong potential as a post-treatment strategy for livestock wastewater containing both antibiotics and nutrient pollutants.</div></div>","PeriodicalId":52198,"journal":{"name":"Water Research X","volume":"30 ","pages":"Article 100503"},"PeriodicalIF":8.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146187340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}