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Sub-volume analysis of pore-network simulations: Determining the asymptotic longitudinal dispersion coefficient Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-23 Alex V.L. Machado, Paulo L.C. Lage, Paulo Couto
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PoreSkel: Skeletonization of grayscale micro-CT images of porous media using deep learning techniques Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-21 Mehdi Mahdaviara, Mohammad Sharifi, Amir Raoof
Skeletonization, a crucial step in pore network modeling, traditionally involves the extraction of skeleton pixels from binarized, segmented X-ray images of porous materials. However, this conventional approach often suffers from user bias during segmentation, potentially leading to the loss of essential image details. This study addresses this limitation by developing deep learning model, called PoreSkel
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Lattice Boltzmann modelling of salt precipitation during brine evaporation Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-21 Junyu Yang, Timan Lei, Geng Wang, Qianghui Xu, Jin Chen, Kai H. Luo
Salt precipitation during brine evaporation in porous media is an important phenomenon in a variety of natural and engineering scenarios. This work establishes a multiphase multicomponent lattice Boltzmann (LB) method with phase change for simulating salt precipitation during brine evaporation. In the proposed LB models, the gas–brine multiphase flow, brine evaporation, salt concentration evolution
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Pre-event base flow as a useful indicator for flood forecasting Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-21 Ali Shokri, Ashkan Shokri, Jahangir Abedi Koupai
The hydrological cycle comprises several components, including precipitation, infiltration, evaporation, transpiration, and runoff, with the latter being a vital part of the cycle that connects precipitation to bodies of water. modelling is necessary due to limitations in standard hydrological measurement techniques, providing a better understanding of hydrological systems that were previously inaccessible
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Effects of regional groundwater discharge on transverse hyporheic exchange in compound channels Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-21 Nairu Wang, Yang Xiao, Lei Huang, Huai Chen, Qian Du, Taotao Zhang, Guangqiu Jin, Ling Li
Previous studies of transverse hyporheic exchange in compound rivers mainly focused on processes driven by riverbed morphology, and neglected the effects of regional groundwater discharge (RGD). This study numerically investigated the transverse hyporheic exchange subjected to the joint influences of bedform and RGD in a conceptual compound channel. The results show the existence of an interfacial
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Coupled fluid flow, solute transport and dissolution processes in discrete fracture networks: an advanced Discontinuous Galerkin model Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-17 Sara Tabrizinejadas, Anis Younes, Hussein Hoteit, Jerome Carrayrou, Marwan Fahs
Modeling dissolution processes in discrete fracture networks (DFNs) is a challenging task. Challenges are related to the highly nonlinear coupling between flow, mass transport, and reactive processes associated with fracture aperture evolution by dissolution. Further, advection-dominated transport due to fast fluid flow in fractures renders the problem more complex from a computational point of view
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Efficient representation of transient tidal overheight in a coastal groundwater flow model using a phase-averaged tidal boundary condition Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-09 Patrick Haehnel, Janek Greskowiak, Clare E. Robinson, Merle Schuett, Gudrun Massmann
Ocean tides cause water table overheight near the seaward boundary of coastal aquifers which can have a large impact on groundwater flows and saltwater intrusion. Despite this, regional-scale coastal groundwater flow models often neglect the effects of ocean tides or alternatively assume that the influences of ocean tides and sea level are constant over time. These simplifications are often required
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Numerical simulation of turbidity currents using Consistent Particle Method Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-09 X.-Q. Tang, C.G. Koh, M. Luo
This paper expands the Consistent Particle Method (CPM) to simulation of turbidity currents with focus on turbulent water-sediment flow. A mixture model is adopted in solving the sediment transport equation to simulate the sediment mass transfer due to settling convection and turbulent diffusion. To compute the gravity-driven convection term, the proposed CPM-upwind scheme is relatively easy to implement
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Insight into heterogeneous karst catchment by the dynamical system approach Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-09 Simon Rusjan, Klaudija Lebar, Nejc Bezak
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An adaptive multi-fidelity optimization framework based on co-Kriging surrogate models and stochastic sampling with application to coastal aquifer management Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-09 Vasileios Christelis, George Kopsiaftis, Rommel G. Regis, Aristotelis Mantoglou
Surrogate modelling has been used successfully to alleviate the computational burden that results from high-fidelity numerical models of seawater intrusion in simulation-optimization routines. Nevertheless, little attention has been given to multi-fidelity modelling methods to address cases where only limited runs with computationally expensive seawater intrusion models are considered affordable imposing
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Theoretical derivation of hydraulic geometry equations for a gravel bed river channel Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-01 George A. Griffiths, Shailesh Kumar Singh
The geomorphic relations of hydraulic geometry at-a-station and downstream, expressed as power laws, are derived for a straight, single thread, gravel river channel. The cross-section has a plane central bed, narrow or wide, flanked by curved sides or banks. The analysis employs mechanistic formulae for fixed and mobile bed flow resistance, downchannel bedslope, bedload transport and the novel introduction
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On the delineation of the flow separation zone in open-channel confluences Adv. Water Resour. (IF 4.7) Pub Date : 2023-09-01 T. Jin, P.X. Ramos, E. Mignot, N. Riviere, T. De Mulder
In the context of a T-shaped open-channel confluence, where the tributary flow separates at the downstream junction edge and creates a separation zone in the post-confluence channel, this paper provides a critical reflection upon the terminology and the delineation methods for the separation zone and its proxies: the recirculation zone and the reverse flow zone. Following the fluid-mechanical literature
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Hydrodynamic numerical simulations based on residual cooperative neural network Adv. Water Resour. (IF 4.7) Pub Date : 2023-08-23 Jian Sun, Xungui Li, Qiyong Yang, Yi Tian, Shaobo Wang, Meiqing Yang
As a gridless computational method, physics-informed neural networks (PINNs) have been widely applied and are a research hotspot in the field of numerical simulation due to their potential to provide approximations that are infinitely close to the analytical solutions. To address the complex hydrodynamic simulation scenarios with a large solution domain, where the conventional PINNs are not fully applicable
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Solute transport in highly heterogeneous media: The asymptotic signature of connectivity Adv. Water Resour. (IF 4.7) Pub Date : 2023-08-22 Anthony Beaudoin, Iván Colecchio, Alejandro Boschan
The connectivity of the more conductive hydrofacies strongly determines flow and transport in heterogeneous media. Here we study solute transport in 3D binary isotropic samples with a proportion p of a high hydraulic conductivity facies (k+), and (1−p) of a low (k−) one. The k+ facies is characterized by two connectivity parameters: a connectivity structure type (no, low, intermediate and high), that
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Addendum to: “The response of aquifers to periodic forcing”, 18(3), 125–146, 1995 Adv. Water Resour. (IF 4.7) Pub Date : 2023-08-19 Lloyd R. Townley
Even though the original paper (Townley, 1995) contained no significant mathematical errors, this Addendum has been prepared (i) to give readers access to 3D graphics that are of much higher quality than are available online, (ii) to provide access to Mathematica notebook files in both .nb and .pdf formats, that demonstrate the use of Mathematica to obtain the six published solutions and to produce
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Impact of hydrodynamic dispersion on mixing-induced reactions under radial flows Adv. Water Resour. (IF 4.7) Pub Date : 2023-08-17 Pratyaksh Karan, Uddipta Ghosh, Yves Méheust, Tanguy Le Borgne
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Transformer-based deep learning models for predicting permeability of porous media Adv. Water Resour. (IF 4.7) Pub Date : 2023-08-12 Yinquan Meng, Jianguo Jiang, Jichun Wu, Dong Wang
The direct acquisition of the permeability of porous media by digital images helps to enhance our understanding of and facilitate research into the problem of subsurface flow. A complex pore space makes the numerical simulation methods used to calculate the permeability quite time-consuming. Deep learning models represented by three-dimensional convolutional neural networks (3D CNNs), as a promising
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Analytical and HYDRUS solutions for exfiltration through inclined seepage faces Adv. Water Resour. (IF 4.7) Pub Date : 2023-08-12 Anvar Kacimov, Yurii Obnosov
Steady, phreatic flows in wedge-shaped aquifers subtended by a tilted bedrock and discharged through a hillslope seepage face are studied by 2-D and 1-D analytical models for fully saturated and a FEM numerical model for saturated-unsaturated flows. The curvilinear triangle in the hodograph domain is conformally mapped onto a reference half-plane where the Hilbert problem is solved for two holomorphic
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Combining multi-phase flow and pathway-specific reactive transport modeling to investigate the impact of water table fluctuations on dichloromethane biodegradation Adv. Water Resour. (IF 4.7) Pub Date : 2023-08-12 Maria Prieto-Espinoza, Raphaël Di Chiara Roupert, Emilie E.L. Muller, Stéphane Vuilleumier, Gwenaël Imfeld, Sylvain Weill
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The critical role of fracture flow on two-phase matrix–fracture transfer mechanisms Adv. Water Resour. (IF 4.7) Pub Date : 2023-08-08 Mohsen Farhadzadeh, Hamidreza M. Nick
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Numerical investigation of solute migration and release from sediments driven by wave-induced accumulation of pore water pressure Adv. Water Resour. (IF 4.7) Pub Date : 2023-08-02 Xiaoli Liu, Shouming Liu, Hongyi Zhao, Dong-Sheng Jeng, Longtao Guo, Tianyuan Zheng
Sediments with poor drainage conditions are prone to build-up of excess pore water pressure when exposed to dynamic wave loading. This results in accumulated seepage flow that may have a significant impact on migration of solutes in marine sediments. In this study, the complex interplay between solute transport and wave-induced seepage process is investigated through a pioneering approach that combines
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Effect of injection water ionic strength on estimating hydraulic parameters in a 3D sand tank using silica encapsulated magnetic DNA particles Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-26 Swagatam Chakraborty, Rayan Elhaj, Jan Willem Foppen, Jack Schijven
We investigated the applicability of Silica encapsulated, superparamagnetic DNA particles (SiDNAmag) in determining aquifer hydraulic parameters at different ionic strengths (1 mM, 5 mM, and 20 mM phosphate buffer) of injection suspension. Thereto, in a homogeneous, unconsolidated sand tank we pulse - injected two uniquely sequenced SiDNAmag at two injection points. At 0.5 m and 0.8 m downstream from
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Parameter correlation study on two new analytical solutions for radially divergent tracer tests in two-zone confined aquifers with vertical dispersion effect Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-26 Chen Wang, Ching-Sheng Huang, Chenchen Tong, Cheng-Haw Lee
This study develops two new analytical models for radially divergent tracer tests at a fully-penetrating well in two-zone confined aquifers of skin and formation zones. Mixing length in the well is below the well length for inducing vertical dispersion. One model treats skins as an adsorptive Robin boundary condition for reflecting the adsorption effect. The other model applies skin's governing equation
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Multi-scale simulation of the effect of microbial growth on the permeability of porous media Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-17 Shilin Wang, Yong Yang, Taijia Lu, Yu Chen, Chunming Jin, Yanfeng Gong, Liping Chen
In this study, a novel algorithm coupling the flow at the pore and representative elementary volume (REV) scales was developed to analyze the effect of microbial growth at the pore scale on the permeability decay of porous media at the REV scale. This provides a new method for investigating microbial clogging in porous media. At the pore scale, an immersed boundary-lattice Boltzmann model was used
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Identifying the source settings of deep brine leakage from CO2 geological repositories using observations from shallow overlying formations Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-17 Ahmad H. Askar, Jeremy T. White, Tissa H. Illangasekare
Shallow groundwater resources overlaying deep saline formations used in carbon storage applications are subjected to a potential contamination threat by CO2/brine leakage via natural or anthropogenically-induced conductive pathways in the confining caprock. Identifying the leakage source location and rate is critical for developing remediation plans and designing corrective actions. Owing to limited
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A reinterpreted discrete fracture model for Darcy–Forchheimer flow in fractured porous media Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-21 Xinyu Wu, Hui Guo, Ziyao Xu, Yang Yang
We propose a novel hybrid-dimensional model for the Darcy–Forchheimer flow in fractured rigid porous media, with a natural applicability to non-conforming meshes. Motivated by the previous work on the reinterpreted discrete fracture model (RDFM) for Darcy flows, we extend its key idea to non-Darcy flows. Coupling the Darcy’s law in the matrix and the Forchheimer’s law in the fractures through the introduction
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Upscaled model for the diffusion/heterogeneous reaction in porous media: Boundary layer problem Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-18 Tien Dung Le, Christian Moyne, Mohamed Khaled Bourbatache, Olivier Millet
Multi-species diffusion/heterogeneous reaction coupled problem in porous media involving a boundary layer problem is studied. The spectral approach developed in our previous work allows to derive a macroscopic model in the high Damköhler number regime combining homogenization technique and spectral approach. Such a homogenized model cannot describe the perturbation at the external boundary where the
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Minkowski functional evaluation of representative elementary volume of rock microtomography images at multiple resolutions Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-13 Saeid Sadeghnejad, Marcel Reinhardt, Frieder Enzmann, Pit Arnold, Bianca Brandstätter, Holger Ott, Fabian Wilde, Sarah Hupfer, Thorsten Schäfer, Michael Kersten
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Optimizing bilinear multi-source water supply systems using mixed-integer linear programming approximations: An analysis of the Israeli seawater desalination array Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-03 Mashor Housh
Decision support systems (DSSs) in water resources management often use optimization models to make decisions. Therefore, the quality of these models is crucial for the success of DSSs. However, optimization models can struggle with reaching global optima, resulting in inconsistent and untrustworthy results for decision-makers. Additionally, current solution methods can be slow and inefficient, hindering
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Pore-scale characterization of residual gas remobilization in CO2 geological storage Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-07 Ramin Moghadasi, Sepideh Goodarzi, Yihuai Zhang, Branko Bijeljic, Martin J. Blunt, Auli Niemi
A decrease in reservoir pressure can lead to remobilization of residually trapped CO2. In this study, the pore-scale processes related to trapped CO2 remobilization under pressure depletion were investigated with the use of high-resolution 3D X-ray microtomography. The distribution of CO2 in the pore space of Bentheimer sandstone was measured after waterflooding at a fluid pressure of 10 MPa, and then
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Relation between storm characteristics and extreme precipitation statistics over CONUS Adv. Water Resour. (IF 4.7) Pub Date : 2023-07-02 Diogo Araujo, Francesco Marra, Haider Ali, Hayley J. Fowler, Efthymios I. Nikolopoulos
In this paper we use a statistical framework to analyze the relation between storm properties and the statistics of extreme precipitation. We identify storm events using a 24-hour dry hiatus separation. We investigate the statistics of the hourly maximum intensity for the heaviest storm events at durations of 1 and 24 h. A two-parameter Weibull distribution is used to represent precipitation frequencies
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Using 3D-printed fluidics to study the role of permeability heterogeneity on miscible density-driven convection in porous media Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-25 Ruichang Guo, Hanxing Sun, Hongsheng Wang, Yang Liu, Cheng Chen
Miscible density-driven convection in porous media has important implications to the long-term security of geological carbon sequestration. Laboratory investigations of miscible density-driven convection in heterogeneous porous media have been greatly limited due to the challenge in constructing well-controlled heterogeneous permeability fields. In this study, three-dimensional (3D) printing was used
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Efficient simulation of CO2 migration dynamics in deep saline aquifers using a multi-task deep learning technique with consistency Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-21 Mengjie Zhao, Yuhang Wang, Marc Gerritsma, Hadi Hajibeygi
CO2 sequestration and storage in deep saline aquifers is a promising technology for mitigating the excessive concentration of the greenhouse gas in the atmosphere. However, accurately predicting the migration of CO2 plumes requires complex multi-physics-based numerical simulation approaches, which are prohibitively expensive due to highly nonlinear coupled governing equations and uncertainties in heterogeneous
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PoreSeg: An unsupervised and interactive-based framework for automatic segmentation of X-ray tomography of porous materials Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-21 Mehdi Mahdaviara, Mohammad Sharifi, Yousef Rafiei
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Second-order accurate implicit finite volume method for two-dimensional modeling of PFAS transport in unsaturated porous media with variable surface tension Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-18 Rui Wu, Xiaoxing Li, Yuanyuan Sun, Piotr Szymczak, Wentao Jiao
Per- and polyfluoroalkyl substances (PFASs) have become emerging contaminants of critical concern. Comprehensive understanding of the transport and fate of PFAS in the vadose-zone, a type of water-unsaturated porous media, is key to determination of the risks of the PFAS contamination in the subsurface and to the development of the effective remediation strategies. Accurate modeling of the PFAS transport
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A hybrid 1D-2D Lagrangian solver with moving coupling to simulate dam-break flow Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-14 Payam Sarkhosh, Yee-Chung Jin
In dam-break problems, two-dimensional (2D) models on the vertical plane appropriately capture the non-hydrostatic pressure distribution but with a high computational cost. This study presents a hybrid Lagrangian solver of one-dimensional (1D) shallow water flow and a 2D large-eddy simulation with a sub-particle scale to simulate dam-break flows over frictional beds. The proposed 1D-2D hybrid scheme
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Coupled THM formulation and wellbore analytical solution in naturally fractured media during injection/production Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-18 Yarlong Wang
The heat extraction efficiency, storage, and safety of carbon dioxide (CO2) sequestration and methane (CH4) injection/post-production in naturally fractured formations have attracted significant interest. However, these studies require the examination of complex thermal-hydraulic-mechanical (THM) interacting processes, which include muti-discipline coupling and phase changes. Energy transfer mechanisms
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Geomorphic floodplain mapping in small Mediterranean catchments using LiDAR data Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-17 Claudia Deiana, Roberto Deidda, Francesco Viola
Recent advances in remote sensing technologies along with the increased availability of topographic data have lately encouraged the development of automatic DEM (Digital Elevation Model)-based procedures for floodplain delineation. Geomorphic methods, establishing relationships between flood descriptors and morphologic catchment characteristics, appear particularly suitable to be implemented within
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Estimation of hydraulic conductivity in a watershed using sparse multi-source data via Gaussian process regression and Bayesian experimental design Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-16 Chien-Yung Tseng, Maryam Ghadiri, Praveen Kumar, Hadi Meidani
Enhanced water management systems depend on accurate estimation of subsurface hydraulic properties. However, geologic formations can vary significantly, so information from a single source (e.g., widely spaced boreholes) is insufficient in characterizing subsurface aquifer properties. Therefore, multiple sources of information are needed to complement the hydrogeology understanding of a region. This
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Watertable fluctuations in coastal unconfined aquifers with a sloping sea boundary: Vertical flow and dynamic effective porosity effects Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-15 Zhaoyang Luo, Jun Kong, D.A. Barry
Interactions between the tide and sloping sea boundary make watertable fluctuations in coastal unconfined aquifers complicated. Based on a perturbation method, we derived a new analytical solution to predict watertable fluctuations for coastal unconfined aquifers with a sloping sea boundary. Following validation with a numerical model, the analytical solution was used to explore the effects of the
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A consistent multi-resolution particle method for fluid-driven granular dynamics Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-15 Mojtaba Jandaghian, Ahmad Shakibaeinia
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A discussion of “Water sorptivity of unsaturated fractured sandstone: Fractal modeling and neutron radiography experiment” Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-09 Hans Janssen
In August 2019, this journal published the paper “Water sorptivity of unsaturated fractured sandstone: Fractal modeling and neutron radiography experiment”, which reports on the experimental monitoring and analytical calculation of capillary moisture absorption in fractured sandstone. This discussion, considered a post-publication review, raises a number of concerns in relation to this paper. These
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A robust experimental design for conceptual model discrimination based on information theory Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-08 Hai V. Pham, Frank T.-C. Tsai
This study introduces firm information gain for model discrimination based on Shannon entropy and worst-case scenario experimental design. Firm information gain is the minimal additional information gained by an experimental design with respect to existing information. Robust experimental design aims to maximize the firm information gain by searching for the least number of new pumping wells and observation
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On constructing limits-of-acceptability in watershed hydrology using decision trees Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-10 Abhinav Gupta, Rao S. Govindaraju, Pin-Ching Li, Venkatesh Merwade
A hydrological model incurs three types of uncertainties: measurement, structural and parametric uncertainty. For instance, in rainfall-runoff models, measurement uncertainty exists due to errors in measurements of rainfall and streamflow data. Structural uncertainty exists due to errors in mathematical representation of hydrological processes. Parametric uncertainty is a consequence of our inability
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Stochastic inversion of discrete fracture networks using genetic algorithms Adv. Water Resour. (IF 4.7) Pub Date : 2023-06-05 Fleford Redoloza, Liangping Li, Arden Davis
Reservoir management and contaminant transport simulations rely on accurate modeling of the subsurface. This task becomes more challenging when the reservoir of interest also has a large amount of fractures. Inverse modeling of these fractured media involves first performing multiple field tests such as pumping tests, tracer tests, or seismic surveys. Inverse modeling methods then are used to find
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Investigating the effects of initial concentration and population distribution on the transport of aggregating nanoparticles in porous media Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-30 Vasileios E. Katzourakis, Constantinos V. Chrysikopoulos
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Interface-induced dispersion in the unsaturated porous media: A pore-scale perspective Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-27 Rasoul Soufi Noughabi, Seyed Hossein Mansouri, Amir Raoof
Although the fluid invasion process impacts the transport and dispersion of chemicals and contaminants in the resident phase of natural, manufactured, and biological unsaturated porous media, these effects remain poorly understood. In this study, we investigate the role of hydrodynamic dispersion in different invasion patterns within the resident phase. While nonidealities in pore structures contribute
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Effects of aquitard windows on groundwater fluctuations within a coastal leaky aquifer system: An analytical and experimental study Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-26 Chao Zhuang, Hongbin Zhan, Xiangdong Xu, Jinguo Wang, Zhifang Zhou, Zhi Dou
Low-permeability aquitards are important sedimentary units that protect the underlying confined aquifers from contamination by seawater and anthropogenic sources in coastal leaky aquifer systems. Therefore, the integrity of the aquitard is of crucial importance. However, the aquitard integrity may be vulnerable to horizontal heterogeneities in the form of aquitard windows. In this study, an innovative
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Pore doublet micromodel experiments of evaporation influence on pre-event water entrapment and pre-event and event water interaction Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-20 Qun-Zhan Huang, Jyun-Cong Huang, Chia-Wen Tsao, Shao-Yiu Hsu
The stable isotopic signature of xylem water differs from those of rainfall and river water. Without considering the water exchange through the vapor phase, this phenomenon implies that when the event water (new water) infiltrates the soil, a part of the pre-event water (old water) is isolated. The isolation and immobilization of old water are suspected because of the low matrix potential. Because
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Multitasking neural network to jointly map discrete fracture structures and matrix transmissivity by inverting hydraulic data acquired in 2D fractured aquifers. XNET-fracture Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-18 M.T. Vu, A. Jardani
In this paper, we propose a new approach to simultaneously map the fracture/conduit network and the equivalent transmissivity of the rock matrix from hydraulic head measurements acquired during pumping/injection tests in fractured aquifers. The algorithm relies on the use of a multitask neural network to directly approximate the joint inversion operator that links hydraulic head data to aquifer hydraulic
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Understanding and predicting physical clogging at managed aquifer recharge systems: A field-based modeling approach Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-16 Maria Chiara Lippera, Ulrike Werban, Rudy Rossetto, Thomas Vienken
Managed aquifer recharge (MAR) techniques are in demand to cope with water scarcity challenges posed by climate change and groundwater overexploitation. One of the long-lasting technical issues associated with MAR systems is physical clogging. The intrusion and deposition of external fines during water recharge reduce the infiltration capacity of the site over time. Operation and maintenance (O&M)
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Numerical study on the spatial–temporal distribution of solute and salt accumulation in saturated sulfate saline soil during freezing–thawing processes: Mechanism and feedback Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-10 Jing Zhang, Yuanming Lai, Shuangyang Li, Mingyi Zhang, Zhemin You, Te Liang
Knowledge of freezing–thawing (F–T) cycles of sulfate saline soil is crucial regarding the spatial–temporal distribution of solutes in the soil, soil salinization, and cold region engineering in sulfate saline soil areas. F–T tests of saturated sulfate saline soils with different salt contents, water supply conditions, and the number of F–T cycles were conducted. The coupling mechanism of water and
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Nonstationary hydrological frequency analysis using the Metastatistical extreme value distribution Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-07 Cuauhtémoc Tonatiuh Vidrio-Sahagún, Jianxun He, Alain Pietroniro
The nonstationary hydrological frequency analysis (NS-HFA) aids in assessing the recurrence of hydrological extremes under nonstationarity, but its reliability is often questioned due to relatively limited record lengths. The Metastatistical extreme value (MEV) distribution, which harnesses the ordinary event records along with the extremes, has proven advantageous under stationarity and in instances
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Computed-tomography-based discrete fracture-matrix modeling: An integrated framework for deriving fracture networks Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-06 Carlos A.S. Ferreira, Hamidreza M. Nick
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Boundary-to-solution mapping for groundwater flows in a Toth basin Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-04 Jingwei Sun, Jun Li, Yonghong Hao, Cuiting Qi, Chunmei Ma, Huazhi Sun, Negash Begashaw, Gurcan Comet, Yi Sun, Qi Wang
In this paper, the authors propose a new approach to solving the groundwater flow equation in the Toth basin of arbitrary top and bottom topographies using deep learning. Instead of using traditional numerical solvers, they use a DeepONet to produce the boundary-to-solution mapping. This mapping takes the geometry of the physical domain along with the boundary conditions as inputs to output the steady
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Advancing Characterization and Modeling of Space-Time Correlation Structure and Marginal Distribution of Short-Duration Precipitation Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-03 Giuseppe Mascaro, Simon Michael Papalexiou, Daniel B. Wright
The statistical characterization of precipitation (P) at short durations (≤ 24 h) is crucial for practical and scientific applications. Here, we advance the knowledge of and ability to model the space-time correlation structure (STCS) and marginal distribution of short-duration P using a network of rain gages in central Arizona with one of the largest densities and spatial coverages in the world. We
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Investigating steady unconfined groundwater flow using Physics Informed Neural Networks Adv. Water Resour. (IF 4.7) Pub Date : 2023-05-02 Mohammad Afzal Shadab, Dingcheng Luo, Eric Hiatt, Yiran Shen, Marc Andre Hesse
A deep learning technique called Physics Informed Neural Networks (PINNs) is adapted to study steady groundwater flow in unconfined aquifers. This technique utilizes information from underlying physics represented in the form of partial differential equations (PDEs) alongside data obtained from physical observations. In this work, we consider the Dupuit–Boussinesq equation, which is based on the Dupuit–Forchheimer
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Quantifying nonlocal bedload transport: A regional-based nonlocal model for bedload transport from local to global scales Adv. Water Resour. (IF 4.7) Pub Date : 2023-04-29 ZhiPeng Li, Saiyu Yuan, Hongwu Tang, Yantao Zhu, HongGuang Sun
Recent studies have emphasized the importance of nonlocal models in characterizing bedload transport in natural rivers, particularly in mixed-size gravel beds or steep hillslopes. Nonlocality denotes that a quantity (flux) at a specific location x is dependent on the conditions in the surrounding area, as opposed to solely at the location itself. This concept applies in bedload transport even in planar
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Topographic hydro-conditioning to resolve surface depression storage and ponding in a fully distributed hydrologic model Adv. Water Resour. (IF 4.7) Pub Date : 2023-04-28 Ai-Ling Jiang, Kuolin Hsu, Brett F. Sanders, Soroosh Sorooshian
Land surface depressions play a central role in the transformation of rainfall to ponding, infiltration and runoff, yet digital elevation models (DEMs) used by spatially distributed hydrologic models that resolve land surface processes rarely capture land surface depressions at spatial scales relevant to this transformation. Methods to generate DEMs through processing of remote sensing data (e.g.,
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Exploring the Signal Filtering Properties of Idealized Watersheds Using Spectral Analysis Adv. Water Resour. (IF 4.7) Pub Date : 2023-04-26 Abram Farley, Laura E. Condon
Watersheds act as low-pass filters, damping and attenuating climatic signals as water moves through the surface and subsurface. This is a well observed phenomenon; however, the ways in which watershed properties control the nature of this filtering are less well documented, especially with respect to groundwater surface water interactions. Here, we use a physically based groundwater surface water model