Advances in Water Resources最新文献

{"title":"Multiple scale numerical simulation for development and role of biofilms on contaminant plume distribution in saturated porous media","authors":"Zhichao Cai,Changhong Zheng,Wenbo Li,Yuhan La,Songyan Zhang,Yuesuo Yang","doi":"10.1016/j.advwatres.2026.105553","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105553","url":null,"abstract":"<div><p>With the widespread applications of bioremediation in environmental pollution control, biofilms served as primary sites for contaminant removal for contaminated lands but altered pore scale uniformity and intrinsic pore structure of porous media in the meanwhile. Traditional continuum models often overlooked pore blockage and spatial heterogeneity of the biodegradation rates. These simplifications and limitations led to discrepancies between simulations and the actual spatiotemporal observation of the porous media and the microbially mediated contaminant plumes. To address such challenges, an LBM-IBM-CAM framework for pore scale numerical simulations was developed. The modeling approach was employed to determine changes of the medium permeability and dispersivity under different contaminant concentrations, to analyze the bio-mechanisms underlying these variations and evaluate the capability of the pore scale model in capturing the system responses to parameter changes. A multiscale modeling was carried out using domain decomposition for a 2D scenario, in which the pore scale simulation was sequentially coupled into the macroscopic continuum scale model for a second-stage simulation to quantify the spatiotemporal plume behavior in the zones influenced by biofilm growth. Results showed that biofilm growth reduced permeability by up to two orders of magnitude and dispersivity increased from the initial value. These physical changes were manifested as a delayed plume breakthrough at the macroscopic continuum scale and, in combination with bio-degradation, collectively influenced contaminant removal. This study is expected to provide a process-based modeling support for the refined characterization of the flow dynamics in porous media and contaminant plumes, and hence successful site remediation.</p></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"25 1","pages":"105553"},"PeriodicalIF":4.7,"publicationDate":"2026-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149368136","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}

{"title":"A 3D-printed microscale experimental investigation and numerical modelling of localized overbank flow: From discharge quantification to a partitioning relationship","authors":"Emmanuel Ah-Woane,Samer Majdalani,Olivier Delestre,Roger Moussa","doi":"10.1016/j.advwatres.2026.105558","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105558","url":null,"abstract":"<div><p>Overbank flow typically develops in two stages during the rising limb of a flood: a disseminated filling stage, during which water spills from the main channel into the floodplain, potentially followed by a conveyance stage, in which the floodplain conveys flow roughly parallel to the channel. While the conveyance stage is well studied, the initial localized stage remains poorly quantified, despite its importance in channel-floodplain connectivity, flood risk, and material transport. Because field observations are scarce and existing experimental studies rarely quantify this process, we investigate localized overbank flow using a 3D-printed microscale model. In this context, this work aims (i) to provide an experimental dataset on localized overbank floods, including inflow <em>I</em>(<em>t</em>), outflow <em>O</em>(<em>t</em>), and overbank flow <em>L</em>(<em>t</em>) hydrographs, (ii) to establish a simple overbank discharge relationship, and (iii) to validate this relationship within a simplified numerical model. We propose a generic hybrid methodology structured according to the Objective – Experimentation – Analysis – Modelling framework (OEAM). The potential of the proposed framework is demonstrated through two microscale models, which geometry is based on a real-world study site, and eleven flood scenarios. The observations reveal distinct behaviours during the rising and falling limbs of floods. From these observations, a parsimonious relationship <em>L</em>(<em>t</em>) = <em>f</em>(<em>I</em>(<em>t</em>)) is established to quantify overbank discharge from the excess flow above a threshold discharge <em>Q_t</em>. This relationship, derived from a simplified representation of physically based overflow relationships, bridges classical hydraulic formulations and parsimonious lateral-exchange representations used in hydrological routing models. Despite its simplicity, its integration into a Diffusive Wave Equation (DWE) routing model allows the experimental overbank hydrographs to be reproduced accurately, with <math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si20.svg\" class=\"math\"><mrow><mi>N</mi><mi>S</mi><msub><mi>E</mi><msub><mi>O</mi><mi>s</mi></msub></msub></mrow></math> > 0.99 and <math xmlns:mml=\"http://www.w3.org/1998/Math/MathML\" altimg=\"si21.svg\" class=\"math\"><mrow><mi>N</mi><mi>S</mi><msub><mi>E</mi><msub><mi>L</mi><mi>s</mi></msub></msub></mrow></math> > 0.98. Although the resulting insights primarily concerns the tested microscale conditions, these results demonstrate the value of 3D-printed microscale models for investigating localized overbank flows and support simple process-based representations of channel-floodplain exchanges in hydrological and hydraulic modelling.</p></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"44 1","pages":"105558"},"PeriodicalIF":4.7,"publicationDate":"2026-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149368155","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}

{"title":"Deep learning-based two-dimensional to three-dimensional mapping for rapid tortuosity prediction in subsurface porous media","authors":"Xiaojun Chen, Jianqing Ye, Mohammad Hadi Mohammadi, Chaozhong Qin, Masoud Babaei, Jianchao Cai","doi":"10.1016/j.advwatres.2026.105552","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105552","url":null,"abstract":"Tortuosity links pore-scale geometry to macroscopic transport in porous media and is a key parameter for understanding diffusion, electrical conduction, solute migration, and flow-related transport in subsurface water resources systems. However, accurate tortuosity estimation commonly requires three-dimensional imaging and computationally intensive pore-scale simulations. Conventional tortuosity–porosity relationships are efficient but often fail to represent pore connectivity,pore-throat constriction, and spatial heterogeneity. Here, a deep learning-based two-dimensional to three-dimensional (2D-to-3D) mapping framework was developed for estimating 3D geometric, electrical, and diffusive tortuosity metrics from two-dimensional pore sections. A dataset of 16,246 digital porous structures was constructed, and reference tortuosity values were obtained using shortest-path analysis, formation-factor-based electrical calculations, and finite-difference diffusion simulations. We systematically examined the relationships among the three tortuosity measures, evaluated 11 classical tortuosity–porosity models, and compared multiple deep learning architectures and two-point-correlation-function-guided sampling strategies. The ResNet18 model with dense sampling achieved consistently high predictive accuracy for all three tortuosity measures from individual 2D sections, with further improvements in sample-level accuracy and prediction stability obtained by aggregating predictions across the sections of each 3D structure. Independent validation on three-phase porous microstructures yielded slice-averaged mean relative errors below 12% for all three tortuosity types, providing preliminary evidence of cross-material transferability. These results show that local structural information contained in two-dimensional sections can provide statistically informative features related to three-dimensional transport pathways. The proposed framework provides a rapid and computationally efficient approach for pore-scale transport characterization, digital porous-media analysis, and high-throughput estimation of transport properties relevant to groundwater flow, solute migration, and subsurface storage applications.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"13 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149274865","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}

{"title":"Corrigendum to “HyGage: Solving the hysteresis puzzle with a new streamflow monitoring method” [Advances in Water Resources 218 (2026) 105513]","authors":"Marian Muste, Kyeongdong Kim, Alexandre Hauet, Christophe Rousseau, Emma House, Ehab Meselhe, Ibrahim Demir","doi":"10.1016/j.advwatres.2026.105518","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105518","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"500 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149232117","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}

{"title":"Mixed Copula for streamflow simulation based on intelligent knowledge set and parameter calibration using cooperation search algorithm","authors":"Yi-fan Xia ,&nbsp;Zhong-kai Feng ,&nbsp;Yang Xiao ,&nbsp;Tao-tao Zhang ,&nbsp;Ling-zhong Kong ,&nbsp;Wen-jing Niu ,&nbsp;Hui-ming Zhang","doi":"10.1016/j.advwatres.2026.105237","DOIUrl":"10.1016/j.advwatres.2026.105237","url":null,"abstract":"<div><div>Streamflow simulation plays a crucial role in the scientific management of reservoir operations and water resources. This study proposes a novel streamflow simulation method using a mixed Copula approach, coupled with an intelligent knowledge set and a cooperation search algorithm for parameter optimization. This method addresses the limitations of traditional Copula-based models, such as limited expressive capability, an excessive number of model parameters, and long computation times. Initially, an intelligent knowledge set is established using a time series model. Next, the cooperation search algorithm is employed to estimate model parameters. Finally, simulated streamflow values are generated via conditional Copula. Theoretical analysis shows significant reduction in computational complexity compared to traditional methods. Engineering applications at multiple hydrological stations validate that the proposed method reduces parameters by over 99%, shortens estimation time to 3–4% of traditional methods, and improves accuracy by 5–15%. This novel method integrates an intelligent knowledge set with parameter optimization to improve the precision of streamflow simulation, providing a valuable technical tool for watershed management.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"210 ","pages":"Article 105237"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138401","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}

{"title":"Multi-resolution transfer learning for rapid prediction of pore-scale multiphase flow","authors":"Haotian Li ,&nbsp;Saideep Pavuluri ,&nbsp;Harris Sajjad Rabbani ,&nbsp;Bicheng Yan","doi":"10.1016/j.advwatres.2026.105236","DOIUrl":"10.1016/j.advwatres.2026.105236","url":null,"abstract":"<div><div>Deciphering multiphase flow patterns at the pore-scale is fundamentally essential for upscaling to determine macro-scale flow parameters. Direct numerical simulations provide detailed insights related to pore-scale flow physics but are computationally expensive. To reduce computational costs, coarser meshes may be used at the expense of accuracy. This study presents a deep learning framework that leverages multi-resolution data for two-dimensional pore-scale two-phase flow at fixed capillary number: low resolution simulations generate large training datasets, while high resolution simulations offer the required supervision to capture the pore-scale flow physics. The model effectively transfers the flow physics learned from low resolution dataset to the high resolution cases, requiring only limited high-fidelity data for adaptation. By combining computational efficiency with predictive accuracy, the proposed framework facilitates rapid and accurate pore-scale flow analysis, addressing a critical need in multiphase flow research.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"210 ","pages":"Article 105236"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134973","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}

{"title":"One-dimensional non-Darcian flow model incorporating the impact of nonlinear clay consolidation on the threshold hydraulic gradient","authors":"Xianmeng Meng ,&nbsp;Lintao Shen ,&nbsp;Xiaoxuan Liu ,&nbsp;Qu Wang ,&nbsp;Maosheng Yin ,&nbsp;Dengfeng Liu","doi":"10.1016/j.advwatres.2026.105239","DOIUrl":"10.1016/j.advwatres.2026.105239","url":null,"abstract":"<div><div>The process of clay consolidation can alter hydraulic conductivity, which subsequently impacts the threshold hydraulic gradient, thereby affecting seepage flow. Existing seepage consolidation models have not considered the impact of changing hydraulic conductivity on the threshold hydraulic gradient. To address this issue, this paper establishes a one-dimensional non-Darcian flow model that accounts for the changes in the threshold hydraulic gradient due to the nonlinear consolidation characteristics of clay. The model is solved using the finite difference method, and the results are compared with those from a model that neglects the changes in the threshold hydraulic gradient. The results indicate that when the changes in the threshold hydraulic gradient are taken into account, both the rate of movement of the seepage moving boundary and the seepage flow velocity are reduced. The hydraulic head calculated with consideration of the threshold hydraulic gradient changes is higher than that calculated without considering such changes. The discrepancies in the position of the seepage moving boundary and the threshold hydraulic gradient collectively dictate the variations in the hydraulic head difference and the seepage flow velocity difference. When the initial hydraulic conductivity is small, the initial void ratio is large, the compression index is large, and the permeability index is small, the differences in hydraulic head between the model accounting for changes in the threshold hydraulic gradient and the one that does not are more significant. Ultimately, a laboratory experiment is used to validate the developed model. Experimental simulation results indicate that ignoring the variation in the threshold hydraulic gradient in long-term seepage simulations leads to a flow prediction error of approximately 15%.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"210 ","pages":"Article 105239"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160585","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}

{"title":"A reinterpreted discrete fracture model for Darcy–Brinkman flow in fractured porous media and its extension on nonconforming meshes","authors":"Jingyao Liu,&nbsp;Hui Guo ,&nbsp;Zhaoqin Huang ,&nbsp;Yang Yang","doi":"10.1016/j.advwatres.2026.105240","DOIUrl":"10.1016/j.advwatres.2026.105240","url":null,"abstract":"<div><div>A novel hybrid-dimensional model for Darcy–Brinkman flow in fractured porous media is proposed, inherently compatible with non-conforming grids. Building upon the reinterpreted discrete fracture model (RDFM) for Darcy flow, which introduces a Dirac–<span><math><mi>δ</mi></math></span> function to unify matrix-fracture flow, we develop the hybrid-dimensional RDFM for Darcy–Brinkman flow. We also rigorously establish its mathematical equivalence with the classical interface model. For numerical discretization, a hybrid scheme combining Local Discontinuous Galerkin (LDG) and standard Galerkin finite element methods (FEM) is employed. This approach overcomes key limitations of the LDG method in modeling one-dimensional fractures, such as difficulties with numerical flux selection and auxiliary variable specification, while maintaining computational efficiency. To solve the resulting coupled system, we introduce a pseudo-time and advance the solution in time toward a stationary state. Validation through coupled tracer transport simulations confirms the model’s robustness and applicability on non-matching grids.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"210 ","pages":"Article 105240"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386189","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}

{"title":"Single collector capture model analysis of particle deposition: Effects of hydrodynamics, particle size, and collector geometry","authors":"Shuyao Niu ,&nbsp;Zhike Zou ,&nbsp;Longcang Shu ,&nbsp;Giovanni Michele Porta","doi":"10.1016/j.advwatres.2026.105233","DOIUrl":"10.1016/j.advwatres.2026.105233","url":null,"abstract":"<div><div>Particle deposition in porous media is critical in natural and engineered systems and has significant implications for groundwater recharge, colloid filtration, and contaminant transport. Therefore, a comprehensive understanding of pore-scale dynamics is essential. Current research mainly focuses on deposition outcomes, whereas dynamic deposition processes require further research, particularly into the coupled effects of flow velocity, particle size, and collector geometry. This study establishes a single-collector model under favorable conditions, using Lagrangian simulations to analyze pore-scale force interactions and particle trajectories. This approach facilitates a systematic investigation of how flow velocity, particle size, and collector geometry influence deposition time, transport trajectory length, and spatial distribution of deposition particles, as well as force analysis of particles. The results showed that particle size and flow velocity primarily control η while collector geometry considerably affects deposition kinetics and spatial patterns. A distinct size-dependent transition in deposition mechanisms was observed, with sub-micron particles (≤1 μm) exhibiting stochastic, diffusion-dominated behavior with dispersed deposition times and trajectories and larger particles (≥2 μm) undergoing rapid, deterministic deposition driven by gravity. Irregular collector shapes enhanced the dispersion and delay of small particle deposition due to complex flow fields with vortices and tortuous streamlines, causing localized deposition hotspots in surface concavities. Force balance analysis shows that in the concave regions of irregular collectors, strong competition occurred Brownian motion and drag force, resulting in more random and tortuous deposition paths. As particle size increased, deposition behavior became shifts to gravity-dominated, with irregular flow fields exhibiting less influence. This study reveals the key role of local flow features in shaping particle deposition behavior, thus providing a deeper understanding of the particle deposition process.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"210 ","pages":"Article 105233"},"PeriodicalIF":4.2,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110457","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}

{"title":"Coupled two-phase flow and surfactant/PFAS transport in porous media with angular pores: From pore-scale physics to Darcy-scale modeling","authors":"Sidian Chen ,&nbsp;Bo Guo ,&nbsp;Tianyuan Zheng","doi":"10.1016/j.advwatres.2026.105222","DOIUrl":"10.1016/j.advwatres.2026.105222","url":null,"abstract":"<div><div>Two-phase surfactant-laden fluid flow and surfactant transport in porous media are critical to many natural and engineering applications. Surfactants modify two-phase flow by altering interfacial tension and wettability, while two-phase flow controls surfactant transport pathways and adsorption sites. These coupled processes are commonly modeled by combining Darcy-type two-phase flow equations with advection–dispersion–adsorption transport equations, with capillary pressure–saturation relationships scaled using the Leverett <span><math><mi>J</mi></math></span>-function. However, the Leverett <span><math><mi>J</mi></math></span>-function simplifies the porous medium as bundles of cylindrical tubes and decouples interfacial tension and wettability, limiting representation of angular pore geometries and coupled interfacial tension and wettability effects. We present a modeling framework that incorporates pore angularity and interfacial tension–wettability coupling effect into Darcy-scale surfactant-laden fluid flow and surfactant transport models. Within this framework, we derive two-phase flow properties for angular pores, upscale them across pore size distributions, and obtain explicit and closed-form expressions for the upscaled properties. These expressions are incorporated into a coupled flow–transport model for simulating transient two-phase flow and surfactant transport processes. Modeling results suggest a nonmonotonic and nonlinear dependence of two-phase flow properties on pore structure (angularity and size distribution) and interfacial tension (controlled by surfactant type and concentration). Example simulations of water flow and PFAS (surfactant-like contaminants) migration in unsaturated soils indicate that surfactant-induced flow effects on PFAS leaching are generally minor under typical site conditions, whereas pore angularity exerts dominant control on water flow, interfacial area, and consequently PFAS retention. Overall, the upscaling framework offers a more physically grounded approach for modeling two-phase surfactant-laden fluid flow and surfactant transport in porous media.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"209 ","pages":"Article 105222"},"PeriodicalIF":4.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072684","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}