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Retardation factor scaling for contaminant transport in fractured media Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-21 Sida Jia, Funing Ma, Zhijie Yang, Zhichao Zhou, Hui Ling, Tianshan Lan, Weiliang Wang, Yong Tian, Hung Vo Thanh, Mohamad Reza Soltanian, Zhenxue Dai
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Effects of microtopography on patterns and dynamics of groundwater–surface water interactions Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-21 Zheng Lu, Xiaofan Yang
Groundwater–surface water interaction is greatly affected by surface topography and agricultural activities in managed agricultural regions. Such an interaction increases the complexity of hierarchical groundwater flow systems. However, the combined effects of microtopography and agricultural activities on groundwater flow patterns remain unclear. In this study, an integrated groundwater–surface water
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Probabilistic assessment of scalar transport under hydrodynamically unstable flows in heterogeneous porous media Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-19 Alessandra Bonazzi, Xiaoshu Zeng, Roger Ghanem, Birendra Jha, Felipe P.J. de Barros
Quantitative predictions of scalar transport in natural porous media is a nontrivial task given the presence of multi-scale spatial heterogeneity in the permeability field. Due to data scarcity, the structural map of the permeability field is subject to uncertainty and therefore, model predictions are uncertain. For such reasons, probabilistic models of flow and transport in natural porous media are
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Two-phase approach to modeling the grain-fluid flows with deposition and entrainment over rugged topography Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-12 Hock-Kiet Wong, Yih-Chin Tai, Haruka Tsunetaka, Norifumi Hotta
We present a grain-fluid mixture for debris flows moving on a rugged (non-trivial) topography, where entrainment and deposition may take place. The model equations are derived with respect to a terrain-following coordinate system, which is constructed based on the topographic surface. The coordinates are fixed in space, and a “sub-topography” is added on the coordinate surface to account for the variation
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The Method of Finite Averages: A rigorous upscaling methodology for heterogeneous porous media Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-10 Kyle Pietrzyk
Rigorous upscaling techniques offer accurate and computationally-efficient strategies for modeling the behaviors of multi-physical, multiscale phenomena in geological porous media. However, such techniques often rely on a variety of methodological assumptions that prohibit their rigorous application to practical systems (e.g., systems involving heterogeneous porous media, system-scale boundary conditions
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A framework on utilizing of publicly availability stream gauges datasets and deep learning in estimating monthly basin-scale runoff in ungauged regions Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-09 Manh-Hung Le, Hyunglok Kim, Hong Xuan Do, Peter A. Beling, Venkataraman Lakshmi
This study introduces a framework that strategically applies a Long Short-Term Memory (LSTM)-based approach for monthly runoff prediction in South Africa and Central Asia. The framework is distinct in its utilization of newly developed Global Land Data Assimilation System (GLDAS)-derived climate dynamics variables and Global Streamflow Indices and Metadata Archives (GSIM)-derived static descriptors
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A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-09 Iman Nabipour, Amir Raoof, Veerle Cnudde, Hamed Aghaei, Jafar Qajar
Digital rock physics is at the forefront of characterizing porous media, leveraging advanced tomographic imaging and numerical simulations to extract key rock properties like permeability. However, fully capturing the heterogeneity of natural rocks necessitates imaging increasingly larger sample volumes, presenting a significant challenge. Direct numerical simulations at these scales become either
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Numerical simulation of foam displacement impacted by kinetic and equilibrium surfactant adsorption Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-09 Filipe F. de Paula, Iury Igreja, Thiago O. Quinelato, Grigori Chapiro
This study explores the effectiveness of foam in reducing gas mobility in porous media impacted by surfactant adsorption in highly heterogeneous porous media. The research focuses on assessing the influence of kinetic and equilibrium adsorption during foam displacement on reservoir sweep efficiency, considering co-injection and SAG (Surfactant Alternating Gas) injection strategies. Including the surfactant
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Analytical methodology for determining the extent of pumped freshwater lenses in recharge-limited, circular islands Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-06 Barret L. Kurylyk, Yin-Fang Lin, S. Cristina Solórzano-Rivas, Adrian D. Werner
Island freshwater lenses are often subjected to pumping to support the freshwater needs of isolated communities. Investigations of the lens extent commonly involve the application of analytical solutions, although the effects of pumping from circular island aquifers have not been assessed in previous analytical methodologies. In this study, a new analytical solution is derived based on Green's functions
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Revealing nitrate uptake and dispersion dynamics using high-frequency sensors and two-dimensional modeling in a large river system Adv. Water Resour. (IF 4.7) Pub Date : 2024-04-06 Amirreza Zarnaghsh, Michelle Kelly, Amy Burgin, Admin Husic
Nitrate pollution of water bodies is a critical issue in many parts of the world because of its negative effects on aquatic ecosystem and human health. Effective management of pollution, such as the continuous or instantaneous release from point-sources, requires an understanding – with high spatial and temporal resolution – of how nitrate is dispersed and cycled within rivers. Nitrate sensing data
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Ostwald ripening of gas bubbles in porous media: Impact of pore geometry and spatial bubble distribution Adv. Water Resour. (IF 4.7) Pub Date : 2024-03-26 Deepak Singh, Helmer André Friis, Espen Jettestuen, Johan Olav Helland
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Surrogate model for geological CO[formula omitted] storage and its use in hierarchical MCMC history matching Adv. Water Resour. (IF 4.7) Pub Date : 2024-03-25 Yifu Han, François P. Hamon, Su Jiang, Louis J. Durlofsky
Deep-learning-based surrogate models show great promise for use in geological carbon storage operations. In this work we target an important application — the history matching of storage systems characterized by a high degree of (prior) geological uncertainty. Toward this goal, we extend the recently introduced recurrent R-U-Net surrogate model to treat geomodel realizations drawn from a wide range
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Leveraging deep learning with progressive growing GAN and ensemble smoother with multiple data assimilation for inverse modeling Adv. Water Resour. (IF 4.7) Pub Date : 2024-03-21 Michael Tetteh, Liangping Li, Arden Davis
The incorporation of hard data in geostatistical modeling is crucial for enhancing the accuracy of interpolating or stochastically estimating subsurface spatial features. The hard data at specified points in the model domain serve as a guide in optimizing the unknown parameters to follow the patterns of the hard data. Recently, a novel approach to solving hydrogeologic/reservoir modeling problems has
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Simulation of two-phase flow in 3D fractured reservoirs using a projection-based Embedded Discrete Fracture Model on Unstructured tetrahedral grids (pEDFM-U) Adv. Water Resour. (IF 4.7) Pub Date : 2024-03-20 Túlio de M. Cavalcante, Artur C.R. Souza, Hadi Hajibeygi, Darlan K.E. Carvalho, Paulo R.M. Lyra
The modeling of fluid flow in heterogeneous, anisotropic and fractured porous media is relevant in many applications, including hydrocarbon and groundwater extraction, dispersion of contaminants, hydrogen or carbon dioxide (CO) storage. Thus, accurate and scalable simulation of fluid flow through these formations continues to be a great challenge. The presence of fractures that are explicitly modeled
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Polynomial chaos enhanced by dynamic mode decomposition for order-reduction of dynamic models Adv. Water Resour. (IF 4.7) Pub Date : 2024-03-14 G. Libero, D.M. Tartakovsky, V. Ciriello
Thanks to their low computational cost, reduced-order models (ROMs) are indispensable in ensemble-based simulations used, e.g., for uncertainty quantification, inverse modeling, and optimization. Since data used to train a ROM are typically obtained by running a high-fidelity model (HFM) multiple times, a ROM’s efficiency rests on the computational cost associated with the data generation and training
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Improving modelled streamflow using time-varying multivariate assimilation of remotely sensed soil moisture and in-situ streamflow observations Adv. Water Resour. (IF 4.7) Pub Date : 2024-03-10 R Visweshwaran, RAAJ Ramsankaran, T.I. Eldho
Hydrological models are widely used to estimate and forecast streamflow for various applications. Given the inherent uncertainties in these models, there is a pressing need to enhance the current state of the modelling strategies. Historically, hydrological models showed significant improvement through soil moisture (SM) assimilation. Particularly, when SM observations are combined with streamflow
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On the existence of multiple states of low flows in catchments in southeast Australia Adv. Water Resour. (IF 4.7) Pub Date : 2024-03-06 Pallavi Goswami, Tim J. Peterson, Arpita Mondal, Christoph Rüdiger
This study investigates whether low flow events in a catchment exhibit a possibility of switching regimes. If this happens, it can result in a catchment experiencing a flow anomaly that is even more extreme than what was historically considered a conventional low flow event. A Hidden Markov Modeling approach was used to identify shifts in the intensity of low flow events in catchments in southeast
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Optimal strategies for assigning prior boundary settings in Hydraulic Tomography analysis Adv. Water Resour. (IF 4.7) Pub Date : 2024-03-01 Xiaoru Su, Tian-Chyi Jim Yeh, Kuangjia Li, Guangcai Wang, Zhaokai Wang
Hydraulic Tomography (HT) is a high-resolution method for identifying aquifer hydraulic property heterogeneity. Despite decades of development leading to a relative maturation of HT, the influence of prior boundary information on HT estimations warrants further investigation. In this study, HT methods were applied to a synthetic heterogeneous aquifer to examine the impact of prior boundary types, sizes
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Pore-scale investigation of solute dispersion behavior in porous media under a two-phase co-flow condition Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-29 Chunwei Zhang, Kai Zhang, Jiale Mo, Zijing Li, Tetsuya Suekane, Yuncong Wang, Ming Li
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Three-dimensional visualization of Rayleigh–Bénard convection in porous media Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-28 Sotheavuth Sin, Shun Imai, Mohammad Azis Mahardika, Anindityo Patmonoaji, Muhammad Nasir, Wilson Susanto, Shintaro Matsushita, Tetsuya Suekane
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Quantifying time-variant travel time distribution and internal mixing by multi-fidelity model under nonstationary hydrologic conditions Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-28 Rong Mao, Jiu Jimmy Jiao, Xin Luo
The travel time distribution (TTD) is a lumped representation of water leaving the system responding to external forces such as rainfall. It reveals the mixing of water parcels and solute particles of different ages from different historical rainfall events at the outlet of a system. Under nonstationary rainfall input condition, the TTD varies with transit groundwater flow, leading to the time-variant
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A fully implicit edge/face centered discontinuous Galerkin / mixed finite element scheme for the advection-dispersion equation Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-28 Anis Younes, Frederick Delay, Philippe Ackerer
Mixed Finite Element (MFE) method is a robust numerical technique for solving elliptic and parabolic partial differential equations (PDEs). However, MFE can generate solutions with strong unphysical oscillations and/or large numerical diffusion for hyperbolic type PDEs. For its part, Discontinuous Galerkin (DG) finite element method is well adapted to solve hyperbolic systems and can accurately reproduce
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An efficient fully Crouzeix-Raviart finite element model for coupled hydro-mechanical processes in variably saturated porous media Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-23 Lingai Guo, Anis Younes, Marwan Fahs, Hussein Hoteit
Coupled hydro-mechanical processes in variably saturated porous media can be encountered in several applications in geosciences and soil mechanics. They are ruled by highly nonlinear and strongly coupled equations of fluid flow in unsaturated porous media and quasi-static mechanical deformation. In this work, we develop an efficient and robust numerical scheme for unsaturated poroelasticity that allows
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Measuring pore water velocities and dynamic contact angles at unstable wetting fronts Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-22 Naaran Brindt, Xinying Min, Jiuzhou Yan, Sunghwan Jung, J-Yves Parlange, Tammo S. Steenhuis
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Variability in the displacement of solute particles in heterogeneous confined aquifers Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-20 Ching-Min Chang, Chuen-Fa Ni, Chi-Ping Lin, I-Hsian Lee
In this work, the variability of regional-scale transport of inert solutes in heterogeneous confined aquifers of variable thickness is quantified by the variance of the displacement of a solute particle. In the traditional stochastic approach to solute transport at the regional scale, the variability of solute displacement is attributed to the variability of the transmissivity fields. In this work
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Unraveling residual trapping for geologic hydrogen storage and production using pore-scale modeling Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-14 Siqin Yu, Mengsu Hu, Carl I. Steefel, Ilenia Battiato
Residual trapping is an important process that affects the efficiency of cyclic storage and withdrawal and in-situ production of hydrogen in geological media. In this study, we have conducted pore-scale modeling to investigate the effects of pore geometry and injection rate on the occurrence and efficiency of residual trapping via dead-end bypassing. We begin our theoretical and numerical analyses
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Prediction of the weighted-mean soil water diffusivity in supporting the falling rate stage of evaporation Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-11 Yunquan Wang
Daily soil evaporation from drying soil can be described as isothermal linear diffusion process, resulting in a simple equation for estimating soil evaporation rate. However, determining soil water diffusivity and subsequently the crucial parameter of weighted-mean diffusivity, essential for estimating soil evaporation rate, is challenging and time-consuming. In this paper, the soil water diffusivity
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Precipitation uncertainty estimation and rainfall-runoff model calibration using iterative ensemble smoothers Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-09 Davide Zoccatelli, Daniel B. Wright, Jeremy T. White, Michael N. Fienen, Guo Yu
The introduction of iterative ensemble smoothers (IES) for parameter calibration opens avenues for expanding parameter space in surface water hydrologic modeling. Here, we have introduced independent parameters into a model calibration experiment to estimate errors in rainfall forcing data. This approach has the potential to estimate rainfall errors using other hydrological observations and to improve
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Measuring changes in background dissolved gases to evaluate multi-component gas dissolution: Laboratory experiments and implications for stray gas monitoring Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-07 Madeline M. Calvert, Mitchell A. Davidson, Ariel Nunez Garcia, Kevin G. Mumford
Gas emitted from leaking wells is a concern for natural gas production as well as the underground storage of carbon dioxide and hydrogen. Stray gas migration through heterogeneous layers, and its subsequent dissolution, controls the fraction emitted to the atmosphere rather than dissolved in groundwater. Understanding the effects of multiple gas components on gas dissolution is important for risk prediction
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Improved solute transport modeling through joint estimation of hydraulic conductivity and dispersivities from tracer and ERT data Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-05 Zheng Han, Xueyuan Kang, Jichun Wu, Xiaoqing Shi, Jianguo Jiang
The hydraulic conductivity () has been recognized as one of the controlling parameters that significantly impact the transport behavior in groundwater systems. To improve the predictive ability of a transport model, concentration measurements are commonly used in inverse modeling to characterize the distribution. In addition to , the spread of the solute plume also depends on dispersion coefficients
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Coupled nonlinear surface reactions in random walk particle tracking Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-05 Tomás Aquino
Random walk particle tracking (RWPT) methods employ a Lagrangian discretization of transported scalars into point particles to numerically solve the advection–dispersion equation. Their recognized advantages regarding numerical stability and numerical dispersion make them ideal candidates to tackle reactive transport problems. However, limitations in the classes of boundary conditions that can currently
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Gravity-driven remediation of DNAPL polluted aquifers using densified biopolymer brine solution Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-03 Amir Alamooti, Stéfan Colombano, Dorian Davarzani, Fabien Lion, Azita Ahmadi-Sénichault
Polymer solutions aid DNAPL (Dense Non Aqueous Phase Liquid)-contaminated soil remediation but are impacted by gravity and viscous forces. This study assesses the interplay between buoyancy and viscous forces in influencing the distribution of DNAPL and the invading phase, by introducing a densified brine (NaI) biopolymer (xanthan) solution as remediation fluid. A matrix of experiments was conducted
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Effect of the transition section on the flow structure of consecutive river bends with point bars Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-29 Xin He, Minghui Yu, Yujiao Liu
The transition section (TS), linking the front bend and the back bend in consecutive river bends, plays a key role in the flow hydraulic characteristics, sediment transport, and riverbed evolution in meandering rivers, which is crucial for flood control, navigation, and river stability. Most existing studies on the hydraulic effect of the TS focus on flat-bed scenarios, rendering an inadequate understanding
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Pore-scale modelling of subsurface biomineralization for carbon mineral storage Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-30 M. Starnoni, X. Sanchez-Vila
This work is framed within the topic of microbially enhanced carbon mineralization: biological catalysts are utilized to alter reaction rates and enhance carbon mineralization in the context of CO2 storage in highly reactive minerals formations. We propose a micro-continuum Eulerian formulation of coupled flow and bio-geochemical reactive transport at the pore-scale, in which the reactive transport
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Hydrodynamics in channels with partial vegetation cover: Investigating the effects of homogeneous and heterogeneous vertical vegetation distribution Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-02 Jyotirmoy Barman, Bimlesh Kumar, Ram Balachandar
Different heights and patterns of vegetation can be seen in river channels and other bodies of water. It is also common to see a mix of emergent and submerged vegetation. The present study considers the flow past homogeneous and heterogeneous vegetation height in a controlled laboratory setting. Four primary cases were considered each for two density arrangements: fully submerged homogeneous, fully
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H-ADCP-based real-time sediment load monitoring system using support vector regression calibrated by global optimization technique and its applications Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-02 Hyoseob Noh, Geunsoo Son, Dongsu Kim, Yong Sung Park
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A novel analytical model of fluid leakage through an abandoned well Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-01 Junyuan Zhang, Hongbin Zhan
A non-plugged abandoned well may cause unwanted flows and solute transport between aquifers. This research provides a novel analytical model to calculate the leakage rate in an abandoned well between a confined aquifer and an unconfined aquifer under steady-state flow conditions. The abandoned well is treated as a passive preferential flow channel connecting a confined aquifer receiving injection from
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Average domination: A new multi-objective value metric applied to assess the benefits of forecasts in reservoir operations under different flood design levels Adv. Water Resour. (IF 4.7) Pub Date : 2024-02-01 Julianne D. Quinn, Patrick M. Reed, Matteo Giuliani, Andrea Castelletti
Worldwide, reservoirs are used to buffer against both extreme floods and extreme droughts. However, operations favoring each of these and other management objectives conflict. Fortunately, tradeoffs in operations can often be mitigated by using hydrologic forecasts to condition release decisions, and significant research has investigated the value of using forecasts for this purpose. However, these
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The watertable fluctuation method of recharge estimation: A review Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-26 A.L. Becke, S.C. Solórzano-Rivas, A.D. Werner
Accurate groundwater recharge estimates are vital for the management of groundwater resources. The watertable fluctuation method (WTFM) is one of the most widely used techniques for estimating distributed recharge. This is likely due to the simplicity of its formulation and the limited input data requirements, which include groundwater level measurements and a specific yield estimate. The method is
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Sub-core permeability inversion using positron emission tomography data—Ensemble Kalman Filter performance comparison and ensemble generation using an advanced convolutional neural network Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-24 Zitong Huang, Christopher Zahasky
Multiscale permeability parameterization in geologic cores is key for quantifying multiphase flow and conservative, reactive, and colloidal transport processes in geologic systems. Despite its importance in controlling flow and transport processes, permeability measurement methods often suffer from low spatial resolution, high computational cost, or lack of generalizability. This study leverages positron
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Physics-informed neural networks for modeling two-phase steady state flow with capillary heterogeneity at varying flow conditions Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-24 A. Chakraborty, A. Rabinovich, Z. Moreno
Multi-phase flow simulations in heterogeneous porous media are essential in many applications, for example, CO2 sequestration, enhanced oil and gas recovery, groundwater contaminant treatment, soil aeration, and energy security. Modeling such complex systems is significantly changeling considering flow with capillary heterogeneity (hydraulic discontinuities). Traditional modeling methods have several
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A machine learning based-method to generate random circle-packed porous media with the desired porosity and permeability Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-20 Jianhui Li, Tingting Tang, Shimin Yu, Peng Yu
The generation of digital porous media facilitates the fabrication of artificial porous media and the analysis of their properties. The past random digital porous medium generation methods are unable to generate a porous medium with a specified permeability. In this work, a new method is proposed to generate a random circle-packed digital porous medium with a specified porosity and permeability. Firstly
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HydroCAL: A novel integrated surface–subsurface hydrological model based on the Cellular Automata paradigm Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-23 Luca Furnari, Alessio De Rango, Alfonso Senatore, Giuseppe Mendicino
Integrated Surface–Subsurface Hydrological Models (ISSHMs) are advanced tools for reproducing hydrological processes that are difficult to manage due to their complexity and computational cost. This paper introduces HydroCAL (Hydrological Cellular Automata Layer), an event-based spatially distributed ISSHM entirely based on the Cellular Automata (CA) paradigm through the OpenCAL software library. The
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Finger flow modeling in snow porous media based on lagrangian mechanics Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-21 Noriaki Ohara
Practical formulation for finger flow is lacking even though such a non-Darcy flow is commonly observed in homogeneous snow porous media. This study generalized physics for porous media flow based on the Lagrangian Mechanics; for instance, Darcy formula was theoretically derived minimizing the energy loss by solving the Euler-Lagrange Equation with Rayleigh dissipation function. This least energy loss
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Phase diagram and permeability evolution for dissolving vertical fractures in a gravity field Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-21 Kai Li, Ran Hu, Xu-Sheng Chen, Zhibing Yang, Yi-Feng Chen
Rock fractures always provide the main flow pathways in geological systems. When exposed to reactive flow, mineral dissolution causes different dissolution regimes and significantly impacts permeability change. Previous studies have examined dissolution regimes and permeability evolution in horizontal geometry, but dissolution dynamics and permeability changes of vertical fractures in a gravity field
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Migration behavior of fugitive methane in porous media: Multi-phase numerical modelling of bench-scale gas injection experiments Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-16 Kenza Bouznari, John Molson, Cole J.C. Van De Ven, Kevin G. Mumford
Two-dimensional multi-phase numerical simulations based on detailed laboratory experiments are used to provide insight into the key processes of methane migration in porous media and to analyze the suitability of a continuum approach for modelling gas migration at the intermediate bench-scale. The simulations were conducted using the multi-phase numerical model DuMux, including groundwater flow, transport
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Dynamic coupling between soil properties and water content in shrink-swell soils: Effects on surface hydrologic partitioning Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-17 Rodolfo Souza, Khaled Ghannam, Salvatore Calabrese
The parameterization of soil hydraulic properties (i.e., porosity and hydraulic conductivity) remains an important source of uncertainty in land-surface and large scale hydrological models, especially for shrink-swell soils, whose soil properties continuously change over time. Much research in shrink-swell soils has been devoted to understanding the relation between soil type, water content, shrinking
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Three-dimensional hydrodynamic modelling of saltwater ingression and circulation in a Brackish Lake Shinji, Japan Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-16 Muhammad Ali Hafeez, Tetsunori Inoue
Lake Shinji is a mesohaline lake that has intermittent saline water intrusion from its east coast connection of Ohashi River. This intrusion is often in the shape of a very thin layer that moves along the Lake bottom and stayed at the center due to bowl shape bathymetry of the Lake having maximum depth at the center. To elucidate the intrusion mechanism a 3-D hydrodynamic model (EcoPARI) was employed
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Numerical study of hydrodynamics and salinity transport processes in a hypersaline lake: A case study of Lake Urmia Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-18 Ammar Safaie, Amirmoez Jamaat
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A simple and accurate closed-form analytical solution to the Boussinesq equation for horizontal flow Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-18 Mohamed Hayek
The classical problem used to model the response of an unconfined aquifer to a sudden change in boundary head is considered in this paper. This problem is usually modeled using the nonlinear groundwater Boussinesq equation. Due to the nonlinearity of this problem, no exact solutions exist. Solutions to the Boussinesq equation are therefore obtained using numerical techniques or approximate analytical
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Pore-network modelling of transverse dispersion in porous media under non-Darcy flow conditions Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-16 A.A. El-Zehairy, H.A.A. Abdel-Gawad
This work is concerned, for the first time, with estimating the transverse dispersion coefficient under non-Darcy laminar flow conditions in porous media using pore-network modeling. The pore-network modelling approach and the mixed cell method are adopted to simulate both the steady laminar flow and the transient transport of solute for Berea and Bentheimer sandstone samples. For non-Darcy flow, the
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A thermo-poromechanical model for simulating freeze–thaw actions in unsaturated soils Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-15 Biao Li, Emad Norouzi, Hong-Hu Zhu, Bing Wu
This study presents a new fully coupled thermal-hydraulic-mechanical (THM) model for variably saturated freezing soil, which examines the freeze–thaw (F-T) actions. The model is derived based on the general form of continuum mechanics for porous media. The mass balance equations cover the conservations of the total water and dry air, where liquid water, ice, and vapor are involved in the total water
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A continuum theory of diffusive bubble depletion in porous media Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-15 Yashar Mehmani, Ke Xu
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Two-dimensional high-resolution numerical investigation of eddy effect in artificial rough conduits with different shapes Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-10 Tao Xiong, Zhongxia Li, Hongbin Zhan, Junwei Wan, Kun Huang, Shuai Yuan, Jing Xiao
Subsurface conduit flow is a critical element of investigating groundwater movement in karst regions, and it is still poorly understood due to complexity of subsurface conduit geometries and the nonlinearity of the conduit flux-hydraulic gradient relationship. A significant nature of the flow nonlinearity is the occurrence of different eddies in conduits. To reveal the nonlinear nature of conduit flow
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Bifurcating paths: the relation between preferential pathways, channel splitting, under sampled regions, and tortuosity on the Darcy scale Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-10 Avioz Dagan, Yaniv Edery
Transport in porous media on the Darcy scale can be both Fickian and non-Fickian, an outcome dependent on the degree of homogeneity of the hydraulic conductivity pattern, as well as the boundary conditions and flow rate. The non-Fickian manifestation is generally associated with heterogeneous media, which promotes the formation of preferential pathways that funnel the transport. Yet this funneling
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Non-local modelling of freezing and thawing of unsaturated soils Adv. Water Resour. (IF 4.7) Pub Date : 2024-01-05 Petr Nikolaev, Andrey P. Jivkov, Lee Margetts, Majid Sedighi
A large part of the earth’s surface is covered by seasonally or permanently frozen soils. Considering the negative impact of climate change, future development of such regions can be underpinned by mathematical methods for accurate analysis of heat and moisture transport in freezing and thawing soils. Reported in this paper is a novel non-local formulation of water and heat transport in unsaturated
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Hydrological drought characterization considering onset, maximum streamflow deficit, and termination Adv. Water Resour. (IF 4.7) Pub Date : 2023-12-29 Jiefeng Wu, Guoqing Wang, Xiaohong Chen, Xing Yuan, Huaxia Yao, Xingwei Chen, Tian Lan, Yanhui Zheng, Amir AghaKouchak
Duration and severity are two key characteristics commonly used for analyzing hydrological drought (HD); however, without considering important HD time nodes (i.e., drought onset, maximum streamflow deficit, and termination), drought monitoring and characterization remain inaccurate. For example, any HD index can identify the duration and severity of certain drought events. However, the onset and termination
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Multiscale simulation of highly heterogeneous subsurface flow with physically adaptive 3D unstructured grids Adv. Water Resour. (IF 4.7) Pub Date : 2023-12-28 Zahra Mehrdoost
The multiscale finite volume framework is extended with physical-based grid adaptation (MSFV-GA) for three-dimensional fully unstructured grids. The MSFV method produces large errors for highly heterogeneous and anisotropic problems on standard coarse grids generated based on geometrical features. Adding constraints based on the fine-scale physical properties to construct coarse grids can increase