Advances in Water Resources最新文献

{"title":"A novel hybrid framework for combining process-based models with machine learning for streamflow prediction","authors":"Xiaolei Jiang ,&nbsp;Leyi Hu ,&nbsp;Xiaolei Fu ,&nbsp;Hoshin Gupta ,&nbsp;Yueping Xu ,&nbsp;Chuancheng Zhao ,&nbsp;Gengxi Zhang ,&nbsp;Miao Lu","doi":"10.1016/j.advwatres.2025.105177","DOIUrl":"10.1016/j.advwatres.2025.105177","url":null,"abstract":"<div><div>Streamflow prediction is traditionally effective in mitigating water scarcity and flood protection. Current modeling approaches often rely on either “<em>process-based</em>” or “<em>data-based</em>” models, including ones based on machine learning (ML). However, numerous simplifying assumptions tend to limit the performance of process-based models. On the other hand, ML-based models tend to have limited interpretability. To address these drawbacks, we propose and test a hybrid modeling framework entitled the “<em>process elements correction</em>” method (PEC) that couples the Xinanjiang (XAJ) model with the long short-term memory network (LSTM). As a basis for comparison, we also test the more commonly used terminal error correction method (TEC). Our results indicate that in the TEC or PEC frameworks, significant improvements can be achieved by careful choice of the contextual variables provided as inputs to LSTM to correct the error of XAJ model simulations. Overall, both PEC and TEC significantly enhance the performance of the XAJ model, especially under low and medium flow conditions. Meanwhile, we find the newly proposed PEC approach to be superior to TEC in correcting flood volumes. Additionally, PEC and TEC generally performs better than LSTM model, although LSTM leads to the smallest error in flood volume. Overall, the PEC is an efficient hybrid model framework to improve the model simulations.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105177"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145531168","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":"Monitoring drywell infiltration dynamics using time-lapse electrical resistivity tomography","authors":"Z. Moreno ,&nbsp;L. Netzer ,&nbsp;U. Nachshon ,&nbsp;D. Kurtzman ,&nbsp;Y. Livshitz ,&nbsp;T. Kamai","doi":"10.1016/j.advwatres.2025.105102","DOIUrl":"10.1016/j.advwatres.2025.105102","url":null,"abstract":"<div><div>Drywell infiltration initiates as water is injected into the drywell. Subsequently, the water level in the drywell builds up the driving head of water flow into the subsurface via the surface area of the drywell. Drywell infiltration is a function of the surrounding media’s hydraulic properties, the drywell’s geometry, and the injection rate. The drywell infiltration capacity property determines the water volume that can infiltrate the subsurface for different injection rates without overspilling. This property can be evaluated under controlled infiltration experiments where water levels in the drywell are continuously monitored during injection. However, no available method exists for revealing spatiotemporal information on the subsurface flow mechanisms, including flow patterns and residual time at the vadose zone. Conventional methods for monitoring the subsurface are intrusive, expensive, and can provide limited information, especially on the spatial extent. Unlike conventional monitoring techniques, electrical resistivity tomography (ERT) can provide continuous, non-invasive information on the subsurface in an easy-to-apply and efficient manner. We examine the ERT applicability to monitor water dynamics at the deep vadose zone (at depths of 20–40 m), induced by drywell infiltration. For that purpose, electrodes were installed at the surface, in the perforated section of the drywell, and at a wetwell, located 5 m from the dry one. Time-lapse ERT surveys were conducted during a controlled drywell infiltration experiment, including the borehole and surface electrodes. The results show that the relative changes in the electrical conductivity can describe water dynamics during the infiltration experiment. Saturation maps translated from the electrical tomograms using calibrated petrophysical relations preserved the water mass balance injected into the well up to <span><math><mo>∼</mo></math></span>250 min after the injection started. Modeling this experiment with a semi-analytical solution, assuming a sharp-wetting front interface, agreed with the wetting front location from the time-lapse electrical tomograms and with the water levels measured in the drywell.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105102"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107273","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":"Effects of disconnected fluid interfaces on pressure drops for liquid-liquid-gas three-phase flow in porous media","authors":"Jiafan Guo ,&nbsp;Zhechao Wang ,&nbsp;Liping Qiao ,&nbsp;Hao Feng","doi":"10.1016/j.advwatres.2025.105144","DOIUrl":"10.1016/j.advwatres.2025.105144","url":null,"abstract":"<div><div>The simultaneous flow of three fluids in porous media often occurs during gas injection into formations, and the flow process typically exhibits significant intermittent or disconnected flow behavior. This study explores the relationships between the capillary pressure drop and interfacial area in steady-state three-phase flow. The capillary pressure drop, which occurs at the fluid-fluid interfaces between the three fluid phases (e.g., water/oil/gas), is defined as the difference between the total pressure drop and the viscous pressure drop. Through steady-state three-phase flow experiments in micromodels, we determined that the capillary pressure drop maintains a roughly linear relationship with the total specific interfacial area of non-wetting liquid-wetting liquid, non-wetting liquid-gas, and gas-wetting liquid interfaces. Furthermore, by considering the differences in interfacial tensions among these interfaces, we found that incorporating the interfacial energy per volume significantly enhances this linear relationship. The interfacial energy per volume is defined as the product of interfacial tension and specific interfacial area. Moreover, the slope of this linear relationship is mainly influenced by the flow rate and follows a negative exponential power function. This study quantifies the significant effect of fluid-fluid interfaces on pressure drop during three-phase disconnected flow.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105144"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324350","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 stochastic framework for mapping probable locations of discrete subsurface conductive pathways facilitating mass migration","authors":"Ahmad H. Askar ,&nbsp;Jeremy T. White ,&nbsp;Brioch Hemmings","doi":"10.1016/j.advwatres.2025.105161","DOIUrl":"10.1016/j.advwatres.2025.105161","url":null,"abstract":"<div><div>Discrete hydro(geo)logic features such as fractures and faults in subsurface formations critically influence the migration of dissolved-phase constituents, often serving as preferential pathways that complicate resource management planning and efforts. Robust characterization and representation of these features is crucial for designing effective management strategies and ensuring successful decision making. To address these challenges, we developed a novel stochastic modeling framework that couples groundwater flow and dissolved phase transport with a non-stationary categorical parameterization within an ensemble data assimilation scheme (PESTPP-iES), enabling improved characterization of such system controlling features. Using a hypothetical scenario involving an interbedded sandstone and fractured shale sequence, the framework was evaluated across various fracture configurations that represent differing levels of system property complexity and uncertainty. By creatively coupling distinct simulation models, the framework was able to capture highly localized, fine-scale fractures, while maintaining an efficient coarser scale representation of the primary aquifer units. Data assimilation involved conditioning the initial prior ensemble with geological information, followed by history matching with state (i.e., head and concentration) measurements from the aquifers. Results revealed up to 80 % reduction in spatial uncertainty of probable fracture locations, demonstrating the importance of assimilating all available information to aid in delineating probable damage zones. The framework is designed to be implemented within an iterative modeling workflow, whereby additional site data can be easily assimilated to progressively refine and constrain the probable locations of fractures through successive analyses.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105161"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145383383","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":"Comparative pore and continuum-scale modeling of evaporation in mixed wettability porous media","authors":"Ayomikun Bello ,&nbsp;Abdolreza Kharaghani,&nbsp;Evangelos Tsotsas","doi":"10.1016/j.advwatres.2025.105123","DOIUrl":"10.1016/j.advwatres.2025.105123","url":null,"abstract":"<div><div>Evaporation in porous media plays a critical role in systems where optimizing evaporation rates and patterns is vital. Heterogeneous wettability can significantly influence evaporation dynamics by altering capillary forces and liquid connectivity; however, its specific effects on evaporation front morphology, capillary pressure–saturation relationships, and the transition to the falling-rate regime are not well understood. This study addresses this gap by using a modeling framework to simulate evaporation in mixed-wet porous media. The approach combines a three-dimensional pore-network model with a spatially-resolved non-equilibrium continuum model on an identical voxel-based domain. The porous medium is assigned random contact angles ranging from 30°to 150°. Capillary-driven flow and evaporation are simulated, and key metrics such as liquid saturation, capillary pressure, and relative permeability are monitored. Our results show a two-stage drying process. In the initial stage, a highly connected liquid network sustains capillary-driven evaporation with high flux. Over time, liquid clusters become isolated and wet pockets persist, slowing evaporation and inducing a falling-rate regime. Heterogeneous wettability produces a ramified evaporation front, alters capillary pressure dynamics, and affects the evolution of relative permeability. These findings improve our understanding of evaporation kinetics in mixed-wet porous media. They validate the use of a dynamic capillary pressure formulation in continuum models and inform improved modeling of evaporation in environmental and industrial porous materials.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105123"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155600","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":"Impact of porous media heterogeneity on convective mixing in a Rayleigh–Bénard instability","authors":"Rima Benhammadi,&nbsp;Juan J. Hidalgo","doi":"10.1016/j.advwatres.2025.105139","DOIUrl":"10.1016/j.advwatres.2025.105139","url":null,"abstract":"<div><div>This work studies the effect of the heterogeneity of a porous medium on convective mixing. We consider a system in which a Rayleigh–Bénard instability is triggered by a temperature difference between the top and bottom boundaries. Heterogeneity is represented by multi-Gaussian log-normally distributed permeability fields. We explore the effect of the Rayleigh number, the variance and correlation length of the log-permeability field on the fingering patterns, heat flux, mixing state and flow structure. Heat flux increases for all heterogeneous cases compared to the homogeneous ones. When heterogeneity is weak and the horizontal correlation length small, flux exhibits minimal sensitivity to the variance of the log-permeability. When the correlation length increases, flux increases proportionally to the log-permeability variance.</div><div>The mixing state is evaluated through the temperature variance and the intensity of segregation. Both take higher values, compared to their homogeneous analogues, when the correlation length and the variance of the permeability are increased. This indicates that even if heat flux increases, the system is less well mixed.</div><div>The flow structure shows that in homogeneous and weakly heterogeneous cases there is a relation between the location of high strain rates and stagnation points, while for strongly heterogeneous cases, high strain rate zones are linked to high permeability areas near the boundaries, where temperature plumes originate. The interface width tends to decrease as the variance and the correlation length of the permeability field are augmented, suggesting that the interface undergoes greater stretching in heterogeneous porous media.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105139"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145261760","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":"Anisotropy of two-phase relative permeability in porous media and its implications for underground hydrogen storage","authors":"Ruichang Guo,&nbsp;Hongsheng Wang,&nbsp;Reza Ershadnia,&nbsp;Seyyed A. Hosseini","doi":"10.1016/j.advwatres.2025.105127","DOIUrl":"10.1016/j.advwatres.2025.105127","url":null,"abstract":"<div><div>Subsurface rocks with anisotropic pore structures that exhibit anisotropic absolute permeability also tend to display anisotropic behavior in relative permeability. As a key input for reservoir simulation, relative permeability is essential for evaluating and optimizing the performance of subsurface energy systems. However, this anisotropy is often overlooked in simulations due to the complexity involved in its characterization under varying conditions. A major challenge lies in the fact that relative permeability anisotropy is influenced by multiple factors, including fluid saturation, rock wettability, and the capillary number of the displacement process. Unlike absolute permeability, which can be succinctly characterized using an anisotropy ratio, relative permeability lacks a similarly concise representation. This study investigated how these factors affect relative permeability anisotropy in the context of underground hydrogen storage and provides insights for its modeling. Three types of porous media were designed to represent key forms of anisotropic pore structures: stratified sedimentary structure (SSS), directionally varying pore geometry (DVPG), and oriented fracture network (OFN). Direct pore-scale simulations using the lattice Boltzmann method were conducted to examine the anisotropic behavior of relative permeability in each medium. The degree of anisotropy was quantified using a relative permeability anisotropy ratio, <span><math><msub><mi>R</mi><mrow><mi>r</mi><mi>A</mi></mrow></msub></math></span>, and its dependence on water saturation and wettability was analyzed. Results showed that <span><math><msub><mi>R</mi><mrow><mi>r</mi><mi>A</mi></mrow></msub></math></span> in the SSS medium varied significantly with water saturation and wettability, while <span><math><msub><mi>R</mi><mrow><mi>r</mi><mi>A</mi></mrow></msub></math></span> in DVPG and OFN media remained largely insensitive to these factors. A geometric average anisotropy ratio, <span><math><msub><mover><mi>R</mi><mo>¯</mo></mover><mrow><mi>r</mi><mi>A</mi></mrow></msub></math></span>, was proposed to characterize the overall degree of relative permeability anisotropy under specific wetting conditions. This metric showed that <span><math><msub><mover><mi>R</mi><mo>¯</mo></mover><mrow><mi>r</mi><mi>A</mi></mrow></msub></math></span>, was greater than 1 for all porous media types and was comparable in magnitude to the absolute permeability ratio. These findings suggested that neglecting relative permeability anisotropy in reservoir simulations could introduce significant errors. The results enhanced theoretical understanding of two-phase flow in complex porous media and offered practical guidance for reservoir-scale modeling in anisotropic formations.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105127"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155633","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 generalized moving least squares-enhanced Lagrangian particle method for anisotropic dispersion in heterogeneous porous media","authors":"Jiayu Fang ,&nbsp;Mohammad Z. Al-Hamdan ,&nbsp;Xiaobo Chao ,&nbsp;QiZhi He","doi":"10.1016/j.advwatres.2025.105152","DOIUrl":"10.1016/j.advwatres.2025.105152","url":null,"abstract":"<div><div>The Lagrangian particle method (LPM) is a promising alternative to Eulerian grid-based methods for modeling advection-dominant transport, as it avoids numerical diffusion and oscillation. However, the most widely used LPM for subsurface solute transport—Smooth Particle Hydrodynamics (SPH)—typically requires a large number of particles for local numerical approximation due to its low order of consistency, making it computationally expensive. In addition, the conventional SPH method is prone to producing negative concentrations under anisotropic dispersion because of the unphysical dispersive flux computed by the model. To address these two issues, this study proposes a new LPM for solute transport simulation based on the generalized moving least squares (GMLS) method. In this approach, a GMLS-based finite difference method is developed for conservative solute transport, enabling efficient and accurate computation of the required higher-order derivatives. As a result, the proposed GMLS-LPM achieves improved representation of anisotropic dispersion and enhanced robustness in long-term predictions of complex subsurface solute transport. The effectiveness of GMLS-LPM is demonstrated through comparisons with two existing LPMs that employ the conventional SPH method and the finite particle method (FPM) in two anisotropic dispersion scenarios: one in homogeneous porous media and the other in heterogeneous porous media. Under similar CPU time, the GMLS-LPM significantly outperforms both SPH and FPM models. Even with randomly distributed particles, the GMLS-LPM maintains high accuracy and avoids unphysical negative concentrations, highlighting its strong potential as a particle-based model for solute transport.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105152"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145358154","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":"Can runoff modeled at coarse resolution simulate floods at finer resolutions? A case study over the Ohio River Basin","authors":"Tara J. Troy ,&nbsp;Naresh Devineni ,&nbsp;Carlos H.R. Lima ,&nbsp;Upmanu Lall","doi":"10.1016/j.advwatres.2025.105151","DOIUrl":"10.1016/j.advwatres.2025.105151","url":null,"abstract":"<div><div>Recent studies on flood-generating mechanisms have advanced understanding of the hydrologic processes that lead to riverine flooding. Flood modeling frameworks can play a role in furthering this research, but they can be computationally intensive. This study tests the ability to simulate floods using the widely used Variable Infiltration Capacity (VIC) land surface model with a kinematic wave routing model over the Ohio River basin, which is flood-prone and topographically variable. Using 200 USGS streamflow gauges, the model estimates the median annual maximum daily flow (AMF) with an average bias of 1.8% across the gauges and the 90th percentile AMF with an average bias of 6.2% for 1979–2022. Errors tend to be larger in flatter regions and in smaller basins with dams, highlighting the role dams play in reducing flood peaks in this basin. Model experiments show that the simulated AMF is not sensitive to the subdaily model timestep, but it is sensitive to the spatial resolution, with larger grid cells resulting in underestimating AMF. Overall, this modeling framework reproduces flooding across a range of land cover, topography, and drainage area, indicating it can be used in future studies to investigate flood generating mechanisms and flood risk estimation.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105151"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412651","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":"Numerical investigation and stochastic modeling of particle bridging under various flow, pore, and particle properties","authors":"Laurez Fogouang Maya ,&nbsp;Laurent André ,&nbsp;Cyprien Soulaine","doi":"10.1016/j.advwatres.2025.105158","DOIUrl":"10.1016/j.advwatres.2025.105158","url":null,"abstract":"<div><div>A complex interplay of fluid, particle, and pore properties influences the stochastic nature of particle bridging in confined channels. This study investigates the role of constriction angle, particle Reynolds number, particle concentration, particle-to-constriction size ratio, and constriction smoothness in clogging behavior within semidilute suspensions. A coupled CFD-DEM approach was used to simulate particle transport through a constricted channel, and a discrete stochastic model was developed to describe the statistical nature of clogging events. The model characterizes clogging through the average number of particles, or escapees, that pass through a constriction before a stable arch forms. Results show that the number of escapees decreases with increasing constriction angle and particle concentration, while remaining largely unaffected by injection flow rate within the Stokes regime. The number of particles forming stable arches increases in discrete steps, closely matching integer values of the particle-to-constriction size ratio. Sharper constrictions were observed to promote more frequent and stable clogging compared to smoother geometries. The stochastic model accurately captures these trends, demonstrating its predictive capability across various conditions.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105158"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145412652","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}