Advances in Water Resources最新文献

{"title":"Estimating the full anisotropy of the covariance function in geostatistical inversion using the pilot-point ensemble Kalman filter","authors":"Janek Geiger,&nbsp;Michael Finkel,&nbsp;Olaf A. Cirpka","doi":"10.1016/j.advwatres.2025.105103","DOIUrl":"10.1016/j.advwatres.2025.105103","url":null,"abstract":"<div><div>In geostatistical inversion, good prior knowledge about the covariance function is important in estimating hydraulic conductivity from hydraulic-head observations, but may be hampered by poor knowledge about anisotropy. In this study we propose an extension of the pilot-point ensemble Kalman filter (PP-EnKF) that can infer the full anisotropy of the covariance function based on attainable, initially random knowledge. We address the periodicity of rotation by incorporating the unique elements of the covariance transformation matrix into the set of parameters to be estimated. The filter is further modified by generating conditional realizations in each assimilation step, increasing the inherent variance of the ensemble and counteracting filter inbreeding. We demonstrate the methodology in a synthetic study of a 2-D groundwater-flow model where we estimate the full anisotropy of the covariance function and the hydraulic conductivity at pilot points via the assimilation of hydraulic-head data. The success of this method depends more on the configuration of pilot points than on the quality of prior knowledge, as ensembles initialized with faulty random priors successfully estimated the correct parameters of the covariance function, as well as the log-hydraulic conductivity values at the pilot points. The resulting parameter fields enabled accurate predictions of hydraulic heads during a verification period, with normalized root mean square errors reduced by up to 66% compared to ensembles with isotropic covariance functions. The methodology presented in this study mitigates the importance of informative prior knowledge of the covariance function in geostatistical parameter-inference methods, especially in highly anisotropic settings.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105103"},"PeriodicalIF":4.2,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145263652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-scale visualization of desorption in clay-coated microfluidic channels: Effect of flow dynamics and porous geometry","authors":"Negar Razaghi ,&nbsp;Mohaddeseh Mousavi Nezhad ,&nbsp;John Bridgeman","doi":"10.1016/j.advwatres.2025.105110","DOIUrl":"10.1016/j.advwatres.2025.105110","url":null,"abstract":"<div><div>This study investigates desorption dynamics in clay-rich porous media with multiple scales of pore size through a microfluidic approach that enables spatially resolved pore-scale observations of transport processes. Desorption, the release of previously sorbed substances from surfaces into surrounding fluid, is critical for contaminant transport, remediation strategies, and resource recovery in environmental systems. While microfluidic devices offer substantial advantages for studying transport processes in porous media, realistically replicating natural surface characteristics in traditional micromodels remains challenging. Geomaterial microfluidics, achieved by coating conventional substrates with rock or soil minerals, offers a powerful tool for visualising pore-scale mass transport and solid-fluid interactions. A key challenge in employing geomaterial-coated micromodels to explore sorption-desorption is the opacity of most geomaterial minerals, hindering visualization of mass concentration changes within porous media. This research introduces a streamlined clay coating procedure to functionalise polydimethylsiloxane (PDMS) microfluidic channels with transparent synthetic smectite clay, mimicking the physicochemical properties of clay porous media, enabling direct visualization of desorption processes across various flow conditions and porous geometries. Tracer flow tests conducted in a series of clay-coated microfluidic channels revealed the influence of fluid flow conditions and porous geometry on the microscale desorption behavior. Desorption of fluorescein, used as a model sorbate, was observed via fluorescence imaging, enabling visualization and quantification of concentration changes over time with high spatial resolution. The findings demonstrate that desorption behavior is influenced by the intricate interplay between fluid flow condition and porous geometry. While increasing flow rates accelerate desorption, this does not necessarily improve overall recovery efficiency (the proportion of previously sorbed substance that can be recovered). Lower flow rates result in longer times to achieve complete desorption, where no recoverable sorbate remains, but may reduce residual mass concentration at exhaustive desorption, highlighting the importance of optimizing flow conditions for efficient contaminant recovery. This work provides insights into transport phenomena relevant to efficient recovery of valuable substances from water, supporting circular economy principles through resource reuse while minimizing harmful by-products. By addressing the previously underexplored desorption dynamics in recovery processes, our findings contribute to developing sustainable treatment and recovery technologies for water management and environmental remediation.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105110"},"PeriodicalIF":4.2,"publicationDate":"2025-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145094094","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 semi-analytical solution for seepage field and soil deformation induced by coupled pre-excavation dewatering and groundwater recharge with a suspended waterproof curtain considering delayed phreatic surface response","authors":"Weitao Yang ,&nbsp;Liang Xiao ,&nbsp;Guoxiong Mei","doi":"10.1016/j.advwatres.2025.105111","DOIUrl":"10.1016/j.advwatres.2025.105111","url":null,"abstract":"<div><div>Accurate prediction and effective control of soil deformation induced by pre-excavation dewatering are essential for construction safety in underground space development. However, the coupled effects of suspended waterproof curtains and external groundwater recharge on drawdown and soil deformation in unconfined aquifers remain unclear, particularly considering the delayed response of the phreatic surface. This study develops an improved theoretical model to characterize soil deformation induced by pre-excavation dewatering and external recharge under plane strain conditions, explicitly considering a suspended waterproof curtain and the time-dependent behavior of the water table. A semi-analytical solution is then derived using integral transform techniques and verified through laboratory model tests, degradation solutions, and numerical simulations. Parametric analyses indicate that prolonging time required for the groundwater level within the pit to reach the target value can substantially decrease soil settlement before excavation, which has minimal effect on the final steady-state settlement. Increasing the horizontal distance between recharge wells and the foundation pit mitigates far-field drawdown but may increase soil settlement within the pit, whereas longer well screens enhance phreatic surface recovery near the excavation. Furthermore, increasing the penetration depth of the waterproof curtain and appropriately scheduling the initiation of recharge wells can effectively limit external groundwater inflow, thereby reducing groundwater drawdown and soil settlement outside the foundation pit. Specifically, increasing the penetration depth of the waterproof curtain from 6 m to 12 m reduces internal settlement by 6.7% and external settlement by 77.9%, suggesting a stronger mitigation effect on the external side. These findings not only extend existing theoretical models by explicitly incorporating the coupled effects of suspended waterproof curtains and external recharge wells with delayed phreatic surface response, but also support and broaden prior findings by demonstrating how recharge design parameters and initiation timing critically govern drawdown and soil deformation in deep excavations.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105111"},"PeriodicalIF":4.2,"publicationDate":"2025-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047329","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":"Incorporating the vertical velocity in a coupled Lagrangian–Eulerian approach for particle transport in shallow flows","authors":"P. Vallés ,&nbsp;J. Segovia-Burillo ,&nbsp;M. Morales-Hernández ,&nbsp;V. Roeber ,&nbsp;P. García-Navarro","doi":"10.1016/j.advwatres.2025.105085","DOIUrl":"10.1016/j.advwatres.2025.105085","url":null,"abstract":"<div><div>This work presents a method to incorporate vertical velocity into a two-dimensional depth-averaged Shallow Water Equation (2DH SWE) model, thereby improving the calculation of particle trajectories in a Lagrangian Particle Tracking (LPT) framework. The resulting formulation couples Eulerian and Lagrangian approaches. The vertical velocity is also used to modify the dispersion terms in the LPT model. The proposed approximation is first validated—without particle transport—by comparison with Hyperbolic–Elliptic and Hyperbolic-Relaxed Non-Hydrostatic Pressure (NHP) models. The differences between models are minor, confirming the suitability of the vertical velocity approximation for shallow flow problems. Subsequently, the method is applied to particle transport scenarios, demonstrating that including vertical velocity yields more realistic particle trajectories in complex flow situations.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"205 ","pages":"Article 105085"},"PeriodicalIF":4.2,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145018805","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":"Gravity currents and wall behavior modeling at high Reynolds numbers","authors":"Antonio Ammendola ,&nbsp;Michele Rebesco ,&nbsp;Federico Falcini ,&nbsp;Stefano Salon ,&nbsp;Federico Roman","doi":"10.1016/j.advwatres.2025.105101","DOIUrl":"10.1016/j.advwatres.2025.105101","url":null,"abstract":"<div><div>Gravity currents are buoyancy-driven flows governed by horizontal density gradients, originating from both natural and anthropogenic sources. They play a critical role in a variety of environmental and geophysical processes, and their interaction with human-made structures can be highly significant. These flows are often studied numerically using advanced techniques such as Large Eddy Simulation (LES), which are capable of capturing the complex physics involved. However, the high computational cost associated with LES makes the study of realistic cases prohibitively expensive. To address this challenge, the present study investigates the use of coarse-grid simulations, both with and without wall-model implementations, to evaluate the potential for reducing computational costs while maintaining reasonable accuracy. Gravity currents were analyzed using the lock-exchange configuration at a Reynolds number of 136,000, based on the bulk velocity and the domain height. The analyses indicate that the coarse-grid cases are able to qualitatively reproduce the main characteristics of the current. In one case, based on a wall modification of the eddy viscosity, the front evolution, during the self-similar phase, exhibits an error of 0.25% relative to a wall-resolved reference case. Generally, cases with an eddy viscosity wall models perform better during the self-similar phase and in representing the head of the current, whereas cases without eddy viscosity modification perform better in capturing the integral quantities of a gravity current. Overall, the use of coarser grids reduces computational costs by approximately two order of magnitude while preserving the main characteristics of the gravity current.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105101"},"PeriodicalIF":4.2,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047328","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":"Combinatorial differential forms for multi-dimensional fluid flow in porous media: A unified framework for volumetric pores, fractures, and channels","authors":"Changhao Liu ,&nbsp;Kiprian Berbatov ,&nbsp;Majid Sedighi ,&nbsp;Andrey P. Jivkov","doi":"10.1016/j.advwatres.2025.105095","DOIUrl":"10.1016/j.advwatres.2025.105095","url":null,"abstract":"<div><div>We present a novel mathematical framework for modelling fluid flow in porous media that naturally accommodates the mixed-dimensional nature of real pore spaces. Unlike traditional pore network models that reduce complex geometries to one-dimensional flow between idealised pores, or computationally intensive direct numerical simulations, our approach uses cell complexes with combinatorial differential forms to represent flow through volumetric pores (3D), sheet-like voids and fractures (2D), and narrow channels (1D) simultaneously. The method maps experimentally measured pore space characteristics onto polyhedral tessellations where different void types are assigned to cells of appropriate dimensions. Flow equations are formulated using calculus with combinatorial differential forms, yielding exact conservation laws directly in matrix form. We validate the approach using X-ray computed tomography images of four different rocks: Bentheimer sandstone, Doddington sandstone, Estaillades carbonate, and Ketton carbonate. For each rock, we generate 30 statistically equivalent realisations to investigate fabric-property relationships. The method achieves substantial computational efficiency compared to direct numerical simulations while maintaining accuracy comparable to pore-scale CFD and lattice-Boltzmann methods. Beyond efficiency, the framework provides scientific insight by explicitly linking pore-space topology to macroscopic permeability, enabling systematic exploration of how connectivity and dimensional transitions in the pore network control flow. The framework’s structure-preserving formulation and ability to assign different material properties to features of different dimensions make it particularly suitable for studying evolving pore structures, multiphase flow, and coupled processes in heterogeneous porous media relevant to groundwater systems and subsurface hydrology.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105095"},"PeriodicalIF":4.2,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145061326","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":"Graph neural network for multi-physics geothermal simulation with discrete fracture network","authors":"Manojkumar Gudala,&nbsp;Bicheng Yan","doi":"10.1016/j.advwatres.2025.105062","DOIUrl":"10.1016/j.advwatres.2025.105062","url":null,"abstract":"&lt;div&gt;&lt;div&gt;With the increasing global energy demand, geothermal energy provides a clean and sustainable alternative to traditional fossil fuel energy. Numerical simulation of geothermal energy recovery requires high computational cost, since it considers the coupled physics of fluid flow in porous media, heat transport, and geomechanics. Even though many recent studies focus on developing deep-learning models to accelerate geothermal reservoir simulation, they are relatively limited to geothermal reservoirs with no fractures or relatively simple planar fractures, which typically use Cartesian grids for discretization.&lt;/div&gt;&lt;div&gt;In this study, we develop a novel deep-learning framework to address the computational overburden in fractured geothermal reservoir simulations based on discrete fracture networks, which are discretized with unstructured grids. We develop graph Neural Network (GNN) models to handle fractures with various orientations flexibly and use information associated with graph nodes and edges to characterize the impact of discrete fracture networks on fluid flow, heat transport, and geomechanics. Injection and extraction in fractured geothermal reservoirs can easily induce microseismic events. Therefore, the GNN models take input parameters, including permeability and porosity, and comprehensively predict model output or state variables, including pressure &lt;span&gt;&lt;math&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;/math&gt;&lt;/span&gt;, temperature &lt;span&gt;&lt;math&gt;&lt;mi&gt;T&lt;/mi&gt;&lt;/math&gt;&lt;/span&gt;, effective stress &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;, shear modulus &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;G&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;, and magnitude of microseismic events &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;M&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;w&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt;. In our numerical experiments, we demonstrate that GNN can accurately predict the spatial and temporal evolution of &lt;span&gt;&lt;math&gt;&lt;mi&gt;T&lt;/mi&gt;&lt;/math&gt;&lt;/span&gt; (&lt;span&gt;&lt;math&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/span&gt;=0.997), &lt;span&gt;&lt;math&gt;&lt;mi&gt;p&lt;/mi&gt;&lt;/math&gt;&lt;/span&gt; (&lt;span&gt;&lt;math&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/span&gt;=0.984), &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;σ&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;mi&gt;f&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; (&lt;span&gt;&lt;math&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/span&gt;=0.954), &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;G&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; (&lt;span&gt;&lt;math&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/span&gt;=0.962), and &lt;span&gt;&lt;math&gt;&lt;msub&gt;&lt;mrow&gt;&lt;mi&gt;M&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mi&gt;w&lt;/mi&gt;&lt;/mrow&gt;&lt;/msub&gt;&lt;/math&gt;&lt;/span&gt; (&lt;span&gt;&lt;math&gt;&lt;msup&gt;&lt;mrow&gt;&lt;mi&gt;R&lt;/mi&gt;&lt;/mrow&gt;&lt;mrow&gt;&lt;mn&gt;2&lt;/mn&gt;&lt;/mrow&gt;&lt;/msup&gt;&lt;/math&gt;&lt;/span&gt;=0.973) in fractured geothermal reservoirs. Besides, GNN models perform predictions with a CPU cost of 2.634 &lt;span&gt;&lt;math&gt;&lt;mrow&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;mi&gt;e&lt;/mi&gt;&lt;mi&gt;c&lt;/mi&gt;&lt;mi&gt;o&lt;/mi&gt;&lt;mi&gt;n&lt;/mi&gt;&lt;mi&gt;d&lt;/mi&gt;&lt;mi&gt;s&lt;/mi&gt;&lt;/mrow&gt;&lt;/math&gt;&lt;/span&gt; per simulation ","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"205 ","pages":"Article 105062"},"PeriodicalIF":4.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145009049","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":"Continuous and discrete models for the dynamic behaviors description of suspended sediment-fluid system","authors":"Lian Wang ,&nbsp;Yongchao Zhang ,&nbsp;Xihua Chu ,&nbsp;Hongguang Sun","doi":"10.1016/j.advwatres.2025.105104","DOIUrl":"10.1016/j.advwatres.2025.105104","url":null,"abstract":"<div><div>Dynamic behaviors of suspended sediment-fluid system play an important role in the transport of bedload and the evolution of riverbed, but the related mathematical models are deficient or limited. In this paper, two models, micropolar fluid model and fluid-particle coupling model, are adopted in the dynamic behaviors calculation of the suspended sediment-fluid system in lid-driven cavity. We first establish the discrete solution program for micropolar fluid governing equations, and analyze the dynamic behaviors of suspended sediment-fluid system under different microstructure parameters. Meanwhile, the dynamic behaviors calculations are carried out by CFD-DEM (Computational Fluid Dynamics-Discrete Element Method) numerical method, and the influences of suspended sediment diameter and concentration are investigated. The results show that micropolar fluid model and fluid-particle coupling model can effectively describe the dynamic behaviors of suspended sediment-fluid system. The influences of microstructure parameters and macro-properties of suspended sediment at given range are almost same, suggesting the definite relationships existed between micro- and macro- quantities. Based on the equivalent effects of microstructure parameters to macro-properties of suspended sediment, micropolar fluid model is expected to replace CFD-DEM method completely in the study of the large-scale dynamic behaviors of suspended sediment-fluid system.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"205 ","pages":"Article 105104"},"PeriodicalIF":4.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145004286","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 multiscale model for wave propagation in double-porosity media","authors":"Yonggang Kang,&nbsp;Xiu'e Zhang","doi":"10.1016/j.advwatres.2025.105107","DOIUrl":"10.1016/j.advwatres.2025.105107","url":null,"abstract":"<div><div>Wave-induced fluid flow (WIFF) at different scales is regarded as a major cause of wave dispersion and attenuation in heterogeneous porous reservoirs. WIFF refers to the fluid flow relative to the solid induced by the fluid pressure gradients created by a passing wave within the fluid phase. According to the length scales of the pressure gradient, WIFF can be classified into macro-, meso‑, and microscopic flow. Seismic exploration, acoustic logging, and ultrasonic measurement use the elastic waves in the seismic frequency band (about 1 ∼ 10²Hz), acoustic frequency range (about 10⁴Hz), and ultrasonic frequency range (about 10⁶Hz), respectively. The single-scale model for wave propagation only includes a single-scale WIFF mechanism and can only model strong dispersion and attenuation in a frequency range. In addition, these technologies in different frequency ranges often give mismatched characteristics of the porous reservoirs. In this paper, we develop a multiscale model simultaneously including the macro-, meso‑, and microscopic WIFF mechanisms for fluid-saturated double-porosity media. Based on the calculation results, the effects of the multiscale WIFF on dispersion and attenuation characteristics are investigated. The calculation results show that the multiscale model is suitable for modelling the strong wave dispersion and attenuation over the whole frequency range. Based on the multiscale model, seismic exploration data, acoustic logging data, and ultrasound measurement data of rock samples can be effectively linked and calibrated.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105107"},"PeriodicalIF":4.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145047327","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":"Breaking down annual and tropical cyclone-induced nonlinear interactions in total water levels","authors":"Md Shadman Sakib ,&nbsp;David F. Muñoz ,&nbsp;Thomas Wahl","doi":"10.1016/j.advwatres.2025.105108","DOIUrl":"10.1016/j.advwatres.2025.105108","url":null,"abstract":"<div><div>With the increase of tropical cyclone activity, coastal communities will experience growing impacts from extreme water levels and associated compound flooding. Multiple drivers contribute to total water level (TWL), including mean sea level, astronomical tides, riverine flow, storm surges, and waves. Therefore, gaining insight into future TWL variability requires a thorough understanding of how those drivers nonlinearly interact at different spatiotemporal scales. In this study, we developed a coupled coastal and wave model at sufficient spatial resolution to analyze: (i) tide–driver interactions and their nonlinear components stemming from surge, river flow, and wind-waves, and (ii) their spatiotemporal evolution across the pre-landfall, landfall, and post-landfall stages of tropical cyclones in the Chesapeake Bay, USA. Results show that tide–surge and tide–wave interactions, along with their nonlinear components, exhibit substantial annual variability, with extreme hurricanes producing abrupt and spatially distinct responses driven by low pressure anomalies in slow-moving storms and wind setup in faster systems. In contrast, tide–river interactions remain negligible except in the upper bay tributaries. A weak or neutral tide–driver interaction does not necessarily indicate a negligible nonlinear response. Rather, nonlinear interactions (NIs) generally act out of phase with their associated drivers, functioning as compensatory mechanisms that amplify or suppress TWL. These nonlinearities are transient and of high-frequency nature near the coast, but evolve into slower, more persistent fluctuations in upstream regions. As climate change reshapes coastal dynamics, a robust understanding of NIs is essential for designing effective flood protection, enhancing risk assessments, and developing informed adaptation strategies for extreme water levels.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105108"},"PeriodicalIF":4.2,"publicationDate":"2025-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107272","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}