Advances in Water Resources最新文献

{"title":"Interpretable pressure-dependent permeability modeling for confined gas transport in complex nano-porous media","authors":"Nijat Rustamov, Qian Yang, Mo K. Delos, Saman A. Aryana","doi":"10.1016/j.advwatres.2026.105527","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105527","url":null,"abstract":"Estimating permeability in complex nano-porous media is difficult because of strong heterogeneity and a wide range of pore sizes. Shale is a prominent example, and it is the focus of this work. Experimental measurements are slow, particularly because apparent gas permeability is pressure-dependent due to gas slippage in nano-porous media and must be measured at several pressures. Direct numerical simulation is an alternative but requires high-resolution SEM or FIB-SEM imaging, digital-rock reconstruction, and substantial computational resources per sample. In this work we use a data-driven workflow to uncover the relationship between apparent gas permeability and the morphological and network-theoretic descriptors of the pore space. Over 5,000 2D porous-media images are generated at 1 nm resolution, and gas transport is modeled with the lattice Boltzmann method on high-performance computing resources. A large set of descriptors including porosity, pore-size distribution, morphology, and network-theoretic descriptors are extracted from each sample. Feature selection is followed by symbolic regression, which produces interpretable and physically consistent correlations for permeability with <mml:math altimg=\"si1.svg\" display=\"inline\"><mml:mrow><mml:msup><mml:mrow><mml:mi>R</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msup><mml:mo linebreak=\"goodbreak\" linebreakstyle=\"after\">=</mml:mo><mml:mn>0.95</mml:mn></mml:mrow></mml:math>. The correlation is then coupled with a power-law Knudsen correction to obtain a pressure-dependent, white-box apparent-permeability model. We apply this model end-to-end on a sample of Mowry shale, covering SEM imaging, stitching, segmentation, reconstruction, and permeability prediction, and compare it with LBM simulations across two orders of magnitude in pressure. Without parameter tuning, the model underpredicts the simulated permeability by a typical factor of 3.3, and it remains more accurate than black-box models applied to the same sample. The workflow offers a route to estimating apparent permeability in shale at a fraction of the cost of direct simulation.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"3 1","pages":"105527"},"PeriodicalIF":4.7,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221593","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":"Tracer dispersion in non-Newtonian fluid flows through rough-walled fractures","authors":"Abiodun Olanrewaju Awosola,Morteza Dejam,Hassan Hassanzadeh","doi":"10.1016/j.advwatres.2026.105516","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105516","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"1 1","pages":"105516"},"PeriodicalIF":4.7,"publicationDate":"2026-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149089747","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}

{"title":"Slope curvature and pool-riffle interactions drive hierarchical hyporheic exchange: A predictive framework for river corridor management","authors":"Adebayo Sadiq ,&nbsp;Kuldeep Singh","doi":"10.1016/j.advwatres.2026.105232","DOIUrl":"10.1016/j.advwatres.2026.105232","url":null,"abstract":"<div><div>Riverbed topography exerts a primary control on hyporheic exchange, yet the combined influence of reach-scale slope curvature and pool-riffle morphology on subsurface flow organization remains poorly quantified. Using a high-resolution, idealized two-dimensional numerical model that couples turbulent river hydraulics with groundwater flow and solute transport, we systematically vary regional slope (<em>S</em>), longitudinal slope curvature (δ), and pool-riffle amplitude (<em>a</em>) and wavelength (<em>λ</em>) to isolate their independent and combined effects on hyporheic processes. We demonstrate that increasing reach-scale convexity—representing knickzone morphology common to mountain streams—generates vertically nested hyporheic flow cells that expand exchange zones up to an order of magnitude. Slope curvature amplifies penetration intensity and flow-path diversity until a threshold (δ ≈ 2–4), beyond which pool-riffle geometry becomes the dominant control. Pool-riffle aspect ratio (<em>a</em>/<em>λ</em>) governs exchange fluxes through a universal power-law scaling, while larger <em>λ</em> deepens flow paths and accelerates dilution, and larger <em>a</em> enhance flushing intensity. These multi-scale interactions produce non-Fickian residence time distributions and distinct mixing regimes. By explicitly linking reach-scale convexity to hyporheic exchange, this study provides a predictive framework for understanding how knickzone morphology and pool-riffle geometry jointly regulate solute retention, offering new guidance for river restoration and corridor management.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"209 ","pages":"Article 105232"},"PeriodicalIF":4.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098394","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":"Increasing the fidelity of hyperlocal simulations of urban pluvial flooding through street flooding observations","authors":"S. Annis ,&nbsp;M.G. Badas ,&nbsp;G. Mascaro","doi":"10.1016/j.advwatres.2026.105223","DOIUrl":"10.1016/j.advwatres.2026.105223","url":null,"abstract":"<div><div>Urban pluvial flooding is a highly impactful natural hazard whose understanding remains limited by the scarcity of observations. Here, we demonstrated that continuous, spatially distributed, street-level flood depth measurements provide critical information to increase the fidelity of pluvial flooding simulations. We applied the LISFLOOD-FP two-dimensional, rain-on-grid hydrodynamic model to two dense urban basins of 10.9 and 0.8 km², respectively, in New York City (NYC), where eight sensors from the FloodNet network recorded widespread flooding during three intense storms. We first provided insights into the generation of model domain and net precipitation forcings at the hyperlocal resolution of 1 m, required to quantify flood hazards at the pedestrian and vehicle scale and to support decision-making. We then focused on one event in the larger basin and assessed the performance of three modeling scenarios under the common condition of limited information about the underground sewer network. We found that neglecting the sewer or simplifying its effect by reducing the precipitation rates severely overestimated the observed water depths. In contrast, simulations based on runoff removal at the stormwater inlets reproduced the observed hydrographs remarkably well after calibration of a single coefficient in the outflow relationship against the sensor data. This calibrated approach proved robust, maintaining high performance in the smaller basin across all three events. As street-level flood observations become increasingly available, the proposed methods could help identify the most accurate strategies to model pluvial flooding in diverse urban landscapes under varying levels of data availability.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"209 ","pages":"Article 105223"},"PeriodicalIF":4.2,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072682","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}