Advances in Water Resources最新文献

{"title":"Visualization experiment for characterizing the influence of an open fracture on CO2 behavior in fractured porous media","authors":"Seung-Wook Ha ,&nbsp;Ji-Young Baek ,&nbsp;In-Woo Park ,&nbsp;Kang-Kun Lee","doi":"10.1016/j.advwatres.2024.104871","DOIUrl":"10.1016/j.advwatres.2024.104871","url":null,"abstract":"<div><div>While gas behavior influenced by the intricate interplay between fractures and the surrounding porous media can create complex flow paths and distribution, there is a scarcity of experimental research focusing on the influence of a fracture on gas behavior due to the limitation of implementing an open structure within porous media. In this study, we have implemented transparent porous structures embedding an open fracture in porous media by using a 3D printer. The study encompasses a series of experiments to visualize and quantify the spatiotemporal distribution of gaseous and dissolved CO₂ concentration by high-resolution pixel-wise image analysis. Results show that the presence of an open fracture significantly influences the behavior of CO₂, affecting both the migration and distribution of gas and dissolved CO₂ concentration. In addition, capillary fingering can be the trigger of early breaching across the fracture into the upper matrix which can create a highly discontinuous and heterogeneous spatiotemporal CO₂ distribution. The implications of this research are not limited to CO₂ behavior but extend to other gases and immiscible contaminants such as non-aqueous phase liquid whose behavior is different from that of groundwater. Our results suggest the applicability of the 3D printing technique in visualization experiments and the importance of incorporating detailed geological structures into environmental monitoring and predictive models for an effective environmental management.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104871"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167155","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":"Study on the effects of non-uniformity of microbial growth on permeability changes in porous media","authors":"Gengyang Zang,&nbsp;Lijian Huang,&nbsp;Shilin Wang,&nbsp;Taijia Lu,&nbsp;Yanfeng Gong,&nbsp;Liping Chen","doi":"10.1016/j.advwatres.2024.104876","DOIUrl":"10.1016/j.advwatres.2024.104876","url":null,"abstract":"<div><div>Based on the assumption that biofilms are impermeable, we investigated the mechanism and law of the influence of microbial growth non-uniformity on the permeability of porous media in the artificial recharge of groundwater. The relationship between the total permeability of porous media and that of cross section was developed and the coupled Lattice Boltzmann Method-Immersed Moving Boundary-Cellular Automata (LBM-IBM-CA) model was used to simulate the non-uniform microbial growth in porous media. Quantitative analysis was conducted on the impact of the grain sparsity of porous media on the non-uniformity of relative porosity changes and permeability decrease caused by microbial growth. The non-uniformity of relative porosity changes was innovatively introduced into the porosity-permeability relationship. The main results are as follows. (1) The non-uniformity of nutrient concentration distribution in porous media is the fundamental reason for the non-uniformity of microbial growth and relative porosity changes. (2) The non-uniformity of relative porosity changes increases with microbial growth for the porous media with smaller grain sparsity. However, the opposite situation occurs for the porous media with larger grain sparsity. (3) In the event of clogging of porous media, the pressure drop caused by biological growth accounts for more than 90 % of the total pressure drop. (4) In the power-law relationship of the porosity-permeability, the index of non-uniformity of relative porosity changes is closely related to the sparsity of the grain at the entrance of porous media.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104876"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142874789","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 novel geometry-informed drag term formulation for pseudo-3D Stokes simulations with varying apertures","authors":"David Krach ,&nbsp;Felix Weinhardt ,&nbsp;Mingfeng Wang ,&nbsp;Martin Schneider ,&nbsp;Holger Class ,&nbsp;Holger Steeb","doi":"10.1016/j.advwatres.2024.104860","DOIUrl":"10.1016/j.advwatres.2024.104860","url":null,"abstract":"<div><div>Alterations in the pore morphology of porous materials cause changes to the characteristic hydraulic properties, which are mostly non-linear and inherently difficult to predetermine. Assuming the alterations are known with sufficient accuracy, the relation between the altered pore structure, measured in terms of porosity, and intrinsic permeability may be determined by simulations with enormous computational effort. We focus on microfluidic experiments during the course of which the pore space becomes increasingly occupied with solid precipitate over elapsed process time. To analyze these domains, we present a novel geometry-informed drag formulation which allows for solving pseudo-3D Stokes equations for image-based input data of clogging porous media with accuracy and efficiency. In a pre-processing step, local pore space properties are analyzed and employed to spatially vary the magnitude of the drag term, which reflects the influence of neglected 3D effects. Calibration and validation is achieved through fully 3D Finite Difference Stokes simulations of different benchmark cases. With the proposed formulation we achieve the high accuracy of the pseudo-3D methods as far as permeability is concerned (<span><math><mo>&lt;</mo></math></span>30% deviation), but also with respect to local velocities, for a microfluidic domain throughout the clogging process. Noteworthy, the computational cost is being reduced to less than 1%. Combining the efficiency of a Stokes 2D simulation and accuracy of a 3D model the presented approach is rendered an interesting option to investigate remaining open questions, for example on anisotropy of effective hydraulic parameters during the clogging process.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104860"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143166699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Acropora coral pore morphology and its internal hydrodynamics","authors":"Yanmei Tian,&nbsp;Rongrong Tian,&nbsp;Xiangbo Gao,&nbsp;Liang Lei,&nbsp;S.A. Galindo-Torres,&nbsp;Ling Li","doi":"10.1016/j.advwatres.2024.104873","DOIUrl":"10.1016/j.advwatres.2024.104873","url":null,"abstract":"<div><div>Pore networks are the pivotal channel for mass transport within Acropora corals, enabling coral’s reef-building capabilities in their marine ecosystems. The interactions of the coral with its surrounding water can be described as a complex hydrological system where the exchange of fluids transporting different agents is constantly occurring. Despite being of critical importance, there is a lack of modeling frameworks to represent coral’s pore structure and how it interacts with the outside. In this paper, combining micron-scale computed tomography (micro-CT), image processing, and lattice Boltzmann fluid simulations, we determine the preliminary pore scale hydraulic properties based on one single branch. Also, we quantify the anisotropy of the skeleton permeability tensor by using Darcy’s law at low Reynolds numbers. Consistently, the methods we used provide evidence for a tree-like structure, which governs the internal flow to spread across the coral, maximizing the residence time of solutes. We also compared the skeleton’s inner pore structure with the terrestrial trees’ growth region, aiming to identify the structural and functional similarities that could enhance the understanding of the coral branch’s morphology and functional roles. Our work gives a novel perspective to characterize the internal hydraulic properties of the skeleton, which enhances the understanding of nutrient transport during coral growth and facilitates further biomimetic applications in coastal defense designs.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104873"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167712","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":"Phase diagram of invasion patterns in «capillary number, wetting angle, disorder» coordinates: A lattice Boltzmann study","authors":"T.R. Zakirov ,&nbsp;A.S. Khayuzkin ,&nbsp;A.N. Kolchugin ,&nbsp;I.V. Malevin","doi":"10.1016/j.advwatres.2024.104861","DOIUrl":"10.1016/j.advwatres.2024.104861","url":null,"abstract":"<div><div>Pore space heterogeneity, numerically described by the disorder parameter, is a factor that strongly influences the displacement mechanics in porous media. This paper presents a systematic study of the simultaneous effects of capillary number, wetting angle, and pore space disorder on the invasion patterns of immiscible displacement: viscous and capillary fingering, compact displacement, and various crossover regimes. The results are based on lattice Boltzmann simulations performed on synthetic micromodels and natural X-ray computed tomography models of natural sandstones. This paper addresses two objectives. The first is to present for the first time a three-dimensional phase diagram in «capillary number, wetting angle, disorder» coordinates, which accurately indicates the regions of invasion patterns. The identification is based on a number of displacement characteristics, such as sweep efficiency map, fractal dimension, and the dynamics of the leading front movement. Based on the phase diagram, the critical wetting angles, which define the boundary of the viscous fingering, capillary fingering, and compact displacement regimes, shift towards imbibition with increasing disorder. A decrease in capillary number shifts the critical wetting angles for the viscous fingering and compact displacement modes towards drainage, and for the capillary fingering mode towards imbibition. The second goal is to identify the maximum effect of pore space disorder on sweep efficiency as a function of capillary number and wetting angle. It has been found that at high capillary numbers the disorder effect is independent of the wetting angle. A decrease in capillary number enhances the maximum disorder effect on sweep efficiency and it becomes strongly dependent on the wetting angle. With increased capillary forces the transition from deep imbibition and drainage regimes to the mode with neutral wettability greatly enhances the effect of disorder. The extremum point of wetting angle, at which the effect of disorder is maximum, shifts towards drainage with decreasing capillary number.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104861"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167153","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":"An extension of the box method discrete fracture model (Box-DFM) to include low-permeable barriers with minimal additional degrees of freedom","authors":"Ziyao Xu ,&nbsp;Dennis Gläser","doi":"10.1016/j.advwatres.2024.104869","DOIUrl":"10.1016/j.advwatres.2024.104869","url":null,"abstract":"<div><div>The box method discrete fracture model (Box-DFM) is an important finite volume-based discrete fracture model (DFM) to simulate flows in fractured porous media. In this paper, we investigate a simple but effective extension of the box method discrete fracture model to include low-permeable barriers. The method remains identical to the traditional Box-DFM in the absence of barriers. The inclusion of barriers requires only minimal additional degrees of freedom to accommodate pressure discontinuities and necessitates minor modifications to the original coding framework of the Box-DFM. We use extensive numerical tests on published benchmark problems and comparison with existing finite volume DFMs to demonstrate the validity and performance of the method.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104869"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793883","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 computationally efficient hybrid neural network architecture for porous media: Integrating convolutional and graph neural networks for improved property predictions","authors":"Qingqi Zhao ,&nbsp;Xiaoxue Han ,&nbsp;Ruichang Guo ,&nbsp;Cheng Chen","doi":"10.1016/j.advwatres.2024.104881","DOIUrl":"10.1016/j.advwatres.2024.104881","url":null,"abstract":"<div><div>Porous media is widely distributed in nature, found in environments such as soil, rock formations, and plant tissues, and is crucial in applications like subsurface oil and gas extraction, medical drug delivery, and filtration systems. Understanding the properties of porous media, such as the permeability and formation factor, is crucial for comprehending the physics of fluid flow within them. We present a novel fusion model that significantly enhances memory efficiency compared to traditional convolutional neural networks (CNNs) while maintaining high predictive accuracy. Although the CNNs have been employed to estimate these properties from high-resolution, three-dimensional images of porous media, they often suffer from high memory consumption when processing large-dimensional inputs. Our model integrates a simplified CNN with a graph neural network (GNN), which efficiently consolidates clusters of pixels into graph nodes and edges that represent pores and throats, respectively. This graph-based approach aligns naturally with the porous medium structure, enabling large-scale simulations that are challenging with traditional methods. Furthermore, we use the GNN Grad-CAM technology to provide new interpretability and insights into fluid dynamics in porous media. Our results demonstrate that the accuracy of the fusion model in predicting porous medium properties is superior to that of the standalone CNN, while its total parameter count is nearly two orders of magnitude lower. This innovative approach highlights the transformative potential of hybrid neural network architectures in advancing research on fluid flow in porous media.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104881"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901785","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 Modeling framework for flocculated cohesive sediment transport in the current bottom boundary layer","authors":"Jorge A. Penaloza-Giraldo ,&nbsp;Liangyi Yue ,&nbsp;Tian-Jian Hsu ,&nbsp;Bernhard Vowinckel ,&nbsp;Andrew Manning ,&nbsp;Eckart Meiburgc","doi":"10.1016/j.advwatres.2024.104857","DOIUrl":"10.1016/j.advwatres.2024.104857","url":null,"abstract":"<div><div>Cohesive sediment transport, where its settling velocity is controlled by the flocculation process, is a crucial component in determining biochemical cycles, fate of pollutants, and morphodynamics in many aquatic ecosystems. In this study, a modeling framework is presented to investigate how flocculation influences cohesive sediment transport in the current bottom boundary layer in dilute conditions, consistent with the calibration range of the flocculation model. From a local analysis of floc dynamics in homogenous turbulence, we identify that the floc size distribution is mainly controlled by floc cohesion and yield strength. The uncertainty in fractal dimension plays a minor role for the floc size but it influences the resulting floc density and settling velocity. The transport analysis in the current boundary layer shows that the flocculation process alters the vertical distribution of the settling velocity and hence the sediment concentration with a strong dependence on cohesion, floc yield strength, and floc structure. When the flocs are more susceptible to breaking, a well-mixed concentration profile is obtained. In contrast, for flocs with higher cohesion or yield strength, higher concentration with a sharp gradient is observed close to the bed. Overall, the settling velocity exhibits a low vertical variability within 20 % of the depth-averaged value except near the bed. This suggests that using a depth-averaged settling velocity yields acceptable predictions of the sediment concentration profiles, especially for flocs with lower cohesion.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104857"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167150","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":"Modeling parametric uncertainty in PDEs models via Physics-Informed Neural Networks","authors":"Milad Panahi,&nbsp;Giovanni Michele Porta,&nbsp;Monica Riva,&nbsp;Alberto Guadagnini","doi":"10.1016/j.advwatres.2024.104870","DOIUrl":"10.1016/j.advwatres.2024.104870","url":null,"abstract":"<div><div>We provide an approach enabling us to employ physics-informed neural networks (PINNs) to propagate parametric uncertainty to model outputs. Our approach is applicable to systems where observations are scarce (or even lacking), these being typical situations associated with subsurface water bodies. Our physics-informed neural network under uncertainty (PINN-UU) integrates the space–time domain across which processes take place and uncertain parameter spaces within a unique computational domain. PINN-UU is then trained to satisfy the relevant physical principles (e.g., mass conservation) in the defined input domain. We employ a stage training approach via transfer learning to accommodate high-dimensional solution spaces. We demonstrate the effectiveness of PINN-UU in a scenario associated with reactive transport in porous media, showcasing its reliability, efficiency, and applicability to sensitivity analysis. PINN-UU emerges as a promising tool for robust uncertainty quantification, with broad applicability to groundwater systems. As such, it can be considered as a valuable alternative to traditional methods such as multi-realization Monte Carlo simulations based on direct solvers or black-box surrogate models.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104870"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pore-scale modeling of biofilm formation and biofilm-induced anomalous transport features in heterogenous porous media","authors":"Xueying Li ,&nbsp;Xiaofan Yang","doi":"10.1016/j.advwatres.2024.104877","DOIUrl":"10.1016/j.advwatres.2024.104877","url":null,"abstract":"<div><div>Biofilms and their formation dynamics are ubiquitous and complex in porous media. The mechanism of biofilm formation on solute transport behavior remains limited, which inhibits potential biofilm applications such as bioremediation. In this study, we present a new numerical solver, BioFOAM, based on the micro-continuum theory, to simulate the coupled pore-scale processes of biofilm formation, fluid flow and solute transport in heterogeneous porous media. The BioFOAM explicitly solves the Darcy-Brinkman-Stokes equation, the convection-diffusion equation, and Monod kinetics in an iterative way. Benchmark tests are conducted to validate and quantify regimes of biofilm formation. We find that the competition among diffusion, advection, and the growth kinetics controls biofilm formation patterns. This competition partially explains the emergence of anomalous transport features in the growth-clogging regime when the growth kinetics dominate over diffusion and advection. When the growth kinetics, diffusion, and advection are comparable, the growth and decay processes of biofilm reach equilibrium. When advection dominates other processes, biofilm formation could not occur. Finally, we apply our model to simulate biofilm formation in real quartz sand media. We observe strong velocity intermittency in the growth-clogging regime in quartz sand media. The velocity probability density function <em>p</em>(<em>u_x</em>) for low velocities follows a power law (<span><math><mrow><mi>p</mi><mrow><mo>(</mo><msub><mi>u</mi><mi>x</mi></msub><mo>)</mo></mrow><mo>∝</mo><msubsup><mi>u</mi><mi>x</mi><mi>α</mi></msubsup></mrow></math></span>, with |α| increasing from |α| &lt; 0.05 to |α| &gt; 1), which corresponds to the intermittency that enhances solute spreading in the breakthrough curves with typical anomalous features. These results indicate that the BioFOAM model is able to quantify biofilm formation patterns and simulate the growing interest in the effects of biofilm on solute transport behavior at the pore scale.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"195 ","pages":"Article 104877"},"PeriodicalIF":4.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143167713","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}