HydroResearch最新文献

{"title":"A zero-order approach for estimating nutrient uptake length in streams: A Michaelis-Menten-based theoretical analysis","authors":"Chuanhui Gu ,&nbsp;Yinuo Yang","doi":"10.1016/j.hydres.2026.04.001","DOIUrl":"10.1016/j.hydres.2026.04.001","url":null,"abstract":"<div><div>Nutrient uptake in streams is commonly quantified by uptake length (<em>S</em>_<em>w</em>). Unlabeled nutrient addition experiments (steady plateau or pulse) are widely used because they are cost-effective, yet the standard analysis—linear regression of log-transformed, dilution-corrected concentrations—assumes first-order kinetics. That assumption breaks down under nutrient-saturated conditions and leads to biased estimates of <em>S</em>_<em>w</em>. Using a one-dimensional advection framework coupled with Michaelis–Menten (M–M) uptake, we demonstrate analytically that the classical first-order approach can overestimate <em>S</em>_<em>w</em>, particularly for pulse additions in which saturation is pronounced. We derive and evaluate an alternative, zero-order method that approximates M–M behavior when the substrate is non-limiting. Under nutrient-saturated conditions, the zero-order method yields <em>S</em>_<em>w</em> estimates that are substantially closer to the M–M benchmark than the first-order method. Therefore, the zero-order approach should be adopted to estimate <em>S</em>_<em>w</em> when the nutrient is not limiting. Furthermore, the new approach expands applicability to low-dispersion streams and improves inter-study comparability of stream nutrient retention metrics.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"9 ","pages":"Pages 1-8"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148010952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Connectivity over proximity: a directional analysis of aquifer–river coupling across three baseflow-dominated catchments","authors":"Francesco Granata,&nbsp;Giovanni de Marinis,&nbsp;Senlin Zhu","doi":"10.1016/j.hydres.2026.08.001","DOIUrl":"10.1016/j.hydres.2026.08.001","url":null,"abstract":"<div><div>Aquifer–river coupling controls baseflow generation, catchment memory and drought predictability, yet its spatial strength and direction within an aquifer are rarely resolved. Here, coupling is analysed directionally and model-free across three baseflow-dominated UK systems, two Chalk and one oolitic limestone, with 17 co-located observation wells, using correlation, lead–lag analysis, spectral coherence, transfer entropy and partial information decomposition on deseasonalised anomalies. Coupling is positive throughout but shows no consistent relationship with distance to either the gauge or channel: median monthly correlations are 0.87, 0.57 and 0.40 in the West Beck, Dour and Coln, respectively, while rank correlations with distance reverse sign between systems. The most informative well in each system is never the nearest and combines strong coupling with net groundwater-to-river information transfer; connected wells retain this information after conditioning on rainfall. Connectivity, rather than proximity, therefore better identifies wells that inform river behaviour and supports monitoring-network design.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"9 ","pages":"Pages 35-47"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149140943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart adsorbents: Innovations and advances in pesticide residue removal from water – A review","authors":"Raga K. P ,&nbsp;S. Giridhar Reddy ,&nbsp;B. Siva Kumar ,&nbsp;Aashli Mary ,&nbsp;Sanga Kugabalasooriar","doi":"10.1016/j.hydres.2025.11.001","DOIUrl":"10.1016/j.hydres.2025.11.001","url":null,"abstract":"<div><div>The growing contamination of water sources by emerging pollutants, such as pesticide residues, poses significant environmental and health risks. Traditional water treatment methods often face challenges in terms of cost-effectiveness and regeneration. Smart adsorbents, offering self-healing properties, reusability, and environmental adaptability, provide a promising alternative. This review explores recent advancements in self-healing and stimuli-responsive adsorbents, such as thermo-responsive and pH-sensitive materials, for pesticide removal. Materials like bio-nanoporous carbon, magnetic nanoparticles, and metal-organic frameworks show outstanding performance due to their high surface area and tunable pore structures. Adsorption behaviour, often analysed through the Langmuir isotherm, suggests efficient monolayer adsorption and enhanced selectivity. Additionally, the potential for resource recovery and reuse of spent adsorbents adds to their environmental sustainability. However, challenges related to cost, scalability, and regeneration need addressing. Future research should focus on integrating intelligent water management systems with advanced technologies such as the Internet of Things and real-time monitoring applications to enhance regeneration processes and support sustainable water remediation.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"9 ","pages":"Pages 9-23"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148243625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plant diversity shifts with drying and wetting cycles following removal of poplar plantations in Dongting Lake, China","authors":"Xueer Ma,&nbsp;Chenchen Liu,&nbsp;Lingli Peng,&nbsp;Chengzhu Liu,&nbsp;Beth Middleton,&nbsp;Ting Lei","doi":"10.1016/j.hydres.2026.05.001","DOIUrl":"10.1016/j.hydres.2026.05.001","url":null,"abstract":"<div><div>Dongting Lake, the second largest lake in China, plays a crucial role in maintaining regional ecological security by providing key habitats for waterbirds. This study examined how hydrology and topography (ditches and mounds) together generate fine-scale wet–dry gradients that shape species establishment and successional trajectories. Over the past decade, vegetation restoration has been implemented through the removal of poplar plantations. We selected sites in West Dongting Lake representing different stages following poplar removal, including active plantations (Poplar), one-year (1Yr) and five-year (5Yr) restored sites, and natural floodplain reference sites. Analyses of seasonal water-level dynamics over several years revealed distinct hydrological regimes among restoration stages, with differences in inundation duration and amplitude corresponding to ditch–mound topography. Species diversity indicators showed that species richness was highest in Poplar (37 species) and lowest in Reference sites (14 species), with exotic species richness following the same trend. The lowest Cody index occurred between 1Yr and Reference sites, while the Jaccard similarity differed significantly among site pairs, with lower similarity observed in comparisons with the Reference site. Non-metric Multidimensional Scaling (NMDS) analysis indicated minimal overlap between Poplar and Reference sites, with 1Yr and 5Yr sites clustering together but remaining distinct from the Reference site. These results suggest that poplar cultivation and its associated mound-ditch topography have altered hydrological and community structure of the wetland, facilitating the persistence of exotic species. Natural recolonization is driven by the interaction between seasonal water-level dynamics and topography, which regulate inundation duration and wet–dry cycles. Effective restoration may require removal of poplar plantations and regrading of artificial ditches and mounds to restore natural hydrological connectivity to support vegetation recovery in these subtropical monsoonal wetlands.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"9 ","pages":"Pages 24-34"},"PeriodicalIF":0.0,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148641464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Riverine flood hazard map prediction by neural networks","authors":"Zeda Yin,&nbsp;Arturo S. Leon","doi":"10.1016/j.hydres.2024.10.003","DOIUrl":"10.1016/j.hydres.2024.10.003","url":null,"abstract":"<div><div>Severe flooding can pose significant risks to human lives, result in substantial economic losses, and contribute to environmental problems such as soil salinization. An accurate early flood prediction system can effectively minimize these losses. Numerical method was the dominant approach for predicting flood inundation maps in the past decades. However, high-fidelity two-dimensional numerical methods are typically time-consuming. Machine learning methods have gained popularity in recent years, but generating a flood map directly with a small sample of boundary conditions remains challenging and largely unexplored. In this paper, we have developed a machine learning framework capable of directly predicting the maximum flood inundation map from boundary conditions. In our model, time-series boundary conditions are embedded into a higher-dimensional shape and then processed by a transformer encoder. The feature maps, post-processed by the transformer encoder, will be coupled with geophysical information such as a digital elevation map and Manning's coefficient map before being passed to the U-Net structure to obtain the final results. Our proposed model demonstrated notably high accuracy when tested with historical hurricane events. The mean absolute error of our proposed method on all test sets is 0.00717 ft., and the root mean squared error is 0.03974 ft. Furthermore, we conducted parametric studies on the model architecture and observed that they are not as sensitive as input features. Lastly, we provided explanations on why some certain geophysical features are necessary to accurately predict flood inundation maps in this paper.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 139-151"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142577849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multivariate approach to assess groundwater resources in the multilayer system of Iullemmeden basin in Dosso Region, Southwestern Niger","authors":"Ibrahim Abdou Ali ,&nbsp;Huguette C. Emvoutou ,&nbsp;Kossitse Venyo Akpataku ,&nbsp;Konaté Moussa ,&nbsp;Serigne Faye","doi":"10.1016/j.hydres.2024.09.008","DOIUrl":"10.1016/j.hydres.2024.09.008","url":null,"abstract":"<div><div>The Iullemmeden basin groundwater resources were assessed in the Dosso Region for the groundwater management. This study applied multivariate statistical analyses and classical tools of hydrogeochemistry to identify the main factors impacting groundwater mineralization. The results indicate the occurrence of acidic to basic fresh groundwaters but with excessive mineralization in some places. Good to excellent drinking groundwaters are largely represented in the system. The categorization of groundwater patterns evolves from <em>(i)</em> mixed types namely Ca/Mg-HCO₃, Ca/Mg-Cl, Na-Cl/SO₄, Ca-Cl/SO₄ and Ca/Mg-Cl/SO₄ for the Ct³ particularly; to <em>(ii)</em> chloride types such as Na<img>Cl, Ca<img>Cl and Mg<img>Cl mostly for Ct¹ and Ct²; and <em>(iii)</em> the bicarbonate types precisely Na-HCO₃, Ca-HCO₃, Mg-HCO₃ for Ch. The weathering of silicate minerals and dissolution of carbonate and salts are the major processes in the multilayer system. The increase of EC and salinity in Ct² could come from the relics of ancient seawater during the last regression. To a lesser extent, fertilizers from agriculture, and livestock farming also contribute to groundwater mineralization and nitrate contamination in the study area. The groundwater assessment of the Iullemmeden sedimentary basin in the Dosso Region revealed the main factors and processes characterizing each aquifer of this system, which can be helpful for better groundwater resource management.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 152-166"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142587404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geospatial and geo-electrical assessment of groundwater vulnerability and potential in parts of Cross River, Southern Nigeria","authors":"Francis Begianpuye Akiang ,&nbsp;Valerie Ngozi Nnaji ,&nbsp;Alexander Iheanyichukwu Opara ,&nbsp;Chidiebere Charles Agoha ,&nbsp;Okechukwu Ebuka Agbasi ,&nbsp;Eric Bekongshelhe Ulem ,&nbsp;Joy Obiageli Njoku","doi":"10.1016/j.hydres.2024.09.007","DOIUrl":"10.1016/j.hydres.2024.09.007","url":null,"abstract":"<div><div>Assessing groundwater vulnerability and potential is essential for sustainable management. This study evaluates these factors in southern Cross River, Nigeria, using geospatial and geo-electrical methods, including Vertical Electrical Sounding (VES), Geographic Information Systems (GIS), and Remote Sensing (RS). Twenty VES surveys were performed, revealing aquifer resistivity from 5.12 to 506.00 Ω/m, thickness from 6.60 to 34.30 m, and depth from 18.60 to 68.00 m. Rainfall was the most significant factor (38 %) affecting groundwater potential, followed by geology (24 %), slope (13 %), drainage density (8 %), land use/cover (6 %), lineament density (5 %), and soil type (3 %). With a Consistency Ratio (CR) of 0.043884, data consistency was high. Groundwater potential zoning (GWPZ) maps categorized the area into low, moderate, good, and excellent zones, highlighting high potential in western areas with high lineament density and moderate slopes. This research demonstrates the effectiveness of integrating geospatial and geo-electrical techniques for groundwater assessment.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 58-73"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589757824000295/pdfft?md5=699ab4e09c3b15815efe8c069b117927&pid=1-s2.0-S2589757824000295-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142312673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil archaea response to the water table drawdown in freshwater wetlands in the Yellow River Estuary","authors":"Qingqing Zhao,&nbsp;Yujie Huang,&nbsp;Wen Zhang,&nbsp;Fanyong Song,&nbsp;Tianyuan Li,&nbsp;Leilei Wang","doi":"10.1016/j.hydres.2024.11.001","DOIUrl":"10.1016/j.hydres.2024.11.001","url":null,"abstract":"<div><div>Water table dynamics affect the diversity and community structure of archaea in coastal wetlands. However, how the soil archaeal community responds to the water table drawdown remains unexplored. Here, soil samples from flooded freshwater wetlands (FFW) and saturated freshwater wetlands (SFW) were collected to investigate the impact of the water table drawdown on the soil archaeal community. The results showed that the alpha diversity index values in FFW soils were significantly higher than those in SFW soils (<em>p</em> &lt; 0.05). The beta diversity indices indicated significant differences between of the FFW and SFW soils (<em>p</em> &lt; 0.05). Crenarchaeota, Bathyarchaeia, and unidentified_Bathyarcaeia were the most dominant phylum, class and family in both the FFW and SFW soils, respectively, but they showed significantly higher proportions in the SFW soils (<em>p</em> &lt; 0.05). The water table drawdown lowered the archaeal community richness and diversity, and significantly altered the archaeal community structure.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 194-201"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142652734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A mini-review on clinical and epidemiological assessment of PAHs toxicity: Process of policy-making on a global scale","authors":"V.C. Deivayanai,&nbsp;P. Thamarai,&nbsp;P.R. Yaashikaa,&nbsp;A. Saravanan,&nbsp;A.S. Vickram","doi":"10.1016/j.hydres.2024.11.007","DOIUrl":"10.1016/j.hydres.2024.11.007","url":null,"abstract":"<div><div>Growing anthropological inhabitants and unorganized cleaning and disposal leads to the widespread garbage and usable residues witnessed every here and there in the ecosystem, especially Polycyclic Aromatic Hydrocarbons (PAHs). This waste of PAHs and its various forms is a great disaster that is been mixed in right from the air all respirate into the water organisms drink plus food intake is also contaminated. The pollution made by this bio-cumulative pollutant not only cause damage to land and water but directly alter the metabolisms of living beings and causes life-threatening disease and sometimes takes the life of immune defective groups. Whereas short communication sharply and crisply explains the PAHs in society and their worsening body impacts other than it this brief about the degradation techniques with latest techno advancements. Differently, this paper concentrates on the cleaning up or removal methods, policy discussion and making by governmental organizations.</div></div>","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 237-243"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Surface water quality evaluation, apportionment of pollution sources and aptness testing for drinking using water quality indices and multivariate modelling in Baitarani River basin, Odisha","authors":"Abhijeet Das","doi":"10.1016/j.hydres.2024.12.002","DOIUrl":"10.1016/j.hydres.2024.12.002","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Baitarani River, Odisha, faces serious deterioration due to massive human intervention. It is particularly susceptible to degradation because it receives industrial and waste water emissions from surrounding organizations and municipal bodies. The current condition of the river is deplorable, leaving behind only minimal economic and ecological values. In this Baitarani Watershed, Odisha, this study emphasizes on analysing the seasonal variation (post-monsoon) of the water quality rating of the river in terms of the Water Quality Index (WQI). Study assessed the hydro-chemical variables, collected from thirteen sampling sites, during 2021–2024; and the whole river was investigated for 15 physicochemical parameters. Again, environ-metrics techniques, such as principal component analysis (PCA), and hierarchical (H) cluster analysis (CA), were used to assess the hydro-chemical variables. In all sites, the indicator Turbidity did not meet the drinking water quality limits (&lt; 5NTU). During the post-monsoon season, the obtained WA-WQI value scored as 21.7 to 191, signifying excellent to unsuitable water quality. In this context, the WAWQI (Weighed Arithmetic Water Quality Index) values show that almost 61.54 % sampling sites have poor to unsuitable quality of water. On the contrary, the computed CCMEWQI (Canadian Council of Ministers of Environment Water Quality Index) value of the present research, varied between 23 and 97. These values indicate that water quality ranges from excellent to very poor water quality. Spanning a spectrum, the values of Integrated Weight (I)-WQI oscillated between 14 and 97. About 23.08 % remained within the excellent-good category, suggesting low pollution. These values also indicate 76.92 % of samples renders poor water and thus, significant contamination of the research zone by elements like turbidity, EC, and TDS indicates that the water quality in these areas is below drinkable limits and requires purification before use. The method, CA grouped four zones into three clusters, i.e., relatively low-polluted, medium-polluted, and high polluted. During post-monsoon season, most of the water quality characteristics were lower owing to dilution by monsoon rainfall, while pollutants were relatively higher in at some places, which might be due to reduced river flow and concentrated pollutants. The PCA resulted into 4 components namely PC-1 (51.31 %), PC-2 (16.044 %), PC-3 (11.799 %) and PC-4 (9.04 %) and indicated that particularly PC-1 contributes parameters such as turbidity, EC, TDS, Na&lt;sup&gt;+&lt;/sup&gt;, K&lt;sup&gt;+&lt;/sup&gt;, Ca&lt;sup&gt;2+&lt;/sup&gt;, and Mg&lt;sup&gt;2+&lt;/sup&gt;, were mostly influenced by mineralization, ions dissolution, and rock weathering. Ultimately, this innovative study from both indexing techniques, concludes that out of the 13 sampling sites, around 61.54 % (WA), 76.92 % (IWQI) and 53.85 % (CCME) is observed to be the most polluted site. CA and PCA identified that natural phenomena, along with agricultural, municipal","PeriodicalId":100615,"journal":{"name":"HydroResearch","volume":"8 ","pages":"Pages 244-264"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143154667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}