Advances in Water Resources最新文献

{"title":"Evaluating existing flow theories for modelling macropore flow through unsaturated soils: A numerical study","authors":"Anoop Pandey,&nbsp;Richa Ojha","doi":"10.1016/j.advwatres.2025.105136","DOIUrl":"10.1016/j.advwatres.2025.105136","url":null,"abstract":"<div><div>Quantifying flow through macropores is challenging due to their discrete and heterogeneous distribution in soil. Many flow theories exist for modelling flow through macropores based on Darcian and non-Darcian approaches. However, not much is known about their applicability and performance under various geometrical characteristics of macropores. This study numerically examines the ability of four theoretically relevant models: the single-porosity model (SPM), dual-permeability model (DPM), coupled Richards equation with laminar flow in macropores (CRL), and coupled Richards equation with thin-film flow along macropores (CRTF), in capturing water flux, pressure distribution, and related hydrological responses across diverse macropore geometries under different boundary conditions. Five representative scenarios (S-1 to S-5) were formulated based on field-observed macropore characteristics, considering variations in density, size, distribution, shape, and connectivity. The details related to geometry, parameter values, initial and boundary conditions were obtained from various sources in the literature. Two-dimensional numerical analyses were performed within the COMSOL Multiphysics® environment, leveraging the Richards equation interface. Findings indicate that model selection is critically dependent on the specific hydrological variable of interest. The CRL and CRTF models reliably capture soil-moisture distribution and lateral mass exchange, whereas the DPM adequately estimates the total outflux. Notably, the CRTF model consistently yields the most accurate predictions for bottom outflux and velocity, values ranging from 0.1 to 1 mm/s, which closely align with observed field data. Although its performance reduces in scenarios characterized by poorly connected macropores that impede mass exchange. The SPM exhibits low performance in S-4 (related to shape and curvature) with an average deviation of 75–80 % between CRL and SPM. This study highlights the critical need for careful model selection based on the specific structural features of macropore networks.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105136"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145324349","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":"2025-12-01","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":"Spatial delineation of the compound flood transition zone using deep learning","authors":"Farnaz Yarveysi ,&nbsp;Francisco Gomez Diaz ,&nbsp;Hamed Moftakhari ,&nbsp;Hamid Moradkhani","doi":"10.1016/j.advwatres.2025.105131","DOIUrl":"10.1016/j.advwatres.2025.105131","url":null,"abstract":"<div><div>Coastal and hydrologic floods are distinct yet interconnected phenomena, driven by oceanic and terrestrial processes, respectively. Their interaction—known as compound flooding—occurs when storm surge, heavy precipitation, and river flow coincide, significantly amplifying flood impacts in coastal riverine regions. These interactions give rise to a transition zone, where coastal and hydrologic flood processes converge, resulting in complex, prolonged inundation that is challenging to predict using traditional hydrodynamic models. Accurately delineating this zone is essential for improving flood risk assessment and mitigation strategies. In this study, we employ deep learning to quantify the relative contributions of terrestrial hydrologic and coastal flood drivers, enabling spatial delineation of the transition zone within Galveston Bay in Texas. This data-driven approach addresses the limitations of conventional models and supports more effective flood-resilience planning for vulnerable coastal communities. Our results reveal spatial patterns of flood driver dominance, with storm tide influencing coastal zones and river flow playing a greater role inland. The use of SHapley Additive exPlanations (SHAP) enables the delineation of a transition zone where no single driver dominates, underscoring the importance of compound flood modeling in such areas. This framework offers a scalable and interpretable solution for identifying high-risk zones, enhancing the precision of flood risk assessments, and informing targeted mitigation efforts in coastal regions.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105131"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145217980","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":"2025-12-01","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":"Upscaling nature-based solutions for reducing risk from natural hazards: From process to practice","authors":"Amanda Tritinger ,&nbsp;Sydney Crisanti ,&nbsp;Steven P. Bailey ,&nbsp;Jacob F. Berkowitz ,&nbsp;Elizabeth S. Godsey ,&nbsp;Burton C. Suedel ,&nbsp;Jeffrey K. King","doi":"10.1016/j.advwatres.2025.105135","DOIUrl":"10.1016/j.advwatres.2025.105135","url":null,"abstract":"<div><div>Nature-based solutions (NbS) offer an innovative approach to reducing risks from natural hazards, aligning ecological processes with engineering objectives. However, successfully scaling NbS from site-specific interventions to systems-level applications remains a challenge. This paper examines an Engineering With Nature® (EWN®) case study to explore how NbS can be integrated into broader, systems-based engineering practices, demonstrating the transition from conceptual design to wide-scale, regional implementation.</div><div>One such case study is Deer Island, located off the coast of Mississippi, USA, where EWN approaches stabilized shorelines and restored critical habitats. The project utilized natural sediment transport processes to rebuild marsh and dune systems, enhancing the island's resilience to storm surges and erosion. Through careful integration of natural and engineered systems, Deer Island serves as a model for how NbS can mitigate risks at both local and regional scales, increasing the ability to recover from a natural disaster and overall ecological health. In particular, the case study highlights the benefit of designing for multiple integrated ecosystem components to deliver a diverse array of ecological functions, goods, and services.</div><div>The paper further underscores the importance of interdisciplinary collaboration, highlighting the role of landscape architects in creating multifunctional designs that incorporate natural features and processes. These designs enhance ecosystem services while addressing societal needs, providing a blueprint for how when combined landscape architecture, science, and engineering can synergize in NbS projects. By synthesizing lessons from the EWN and emphasizing the need for cross-sector collaboration, this paper outlines pathways to scale NbS from localized efforts to comprehensive strategies that reduce coastal storm risk.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105135"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145261763","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":"The acoustic-doppler current profiler (ADCP): A comprehensive tool for river hydromorphodynamics monitoring","authors":"G. Fleit ,&nbsp;M. Muste ,&nbsp;S. Baranya ,&nbsp;D. Kim ,&nbsp;A. Whaling ,&nbsp;T.O. McAlpin ,&nbsp;H. You","doi":"10.1016/j.advwatres.2025.105180","DOIUrl":"10.1016/j.advwatres.2025.105180","url":null,"abstract":"<div><div>This paper introduces the use of acoustic Doppler current profiler (ADCP) measurements as input for the Acoustic Mapping Velocimetry (AMV) method, a technique for characterizing the dynamics of riverine bedforms. The performance of this new approach, ADCP-AMV, is compared with input from a multibeam echosounder through a field study conducted on the Mississippi River (USA). A virtual ADCP tool has been created to support the ADCP-AMV measurements with optimal data density predictions. To the authors’ knowledge, this is the first time ADCP measurements have been used in conjunction with the AMV dune-tracking method. Subsequently, the paper discusses the coupling of ADCP-AMV measurements with ancillary data extracted from the ADCP. These ancillary data are processed using previously developed protocols to characterize hydrodynamics and the suspended sediment distribution in the water column. This paper emphasizes the capability of ADCPs to characterize open-channel river hydromorphodynamic parameters with high spatiotemporal resolution. Recommendations to accurately and efficiently acquire these multi-variable measurements and derived datasets are discussed.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105180"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145575530","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":"Regionalizing hydrologic information for runoff predictions beyond continental boundaries using machine learning","authors":"Mohamed M. Fathi ,&nbsp;Ayman G. Awadallah","doi":"10.1016/j.advwatres.2025.105162","DOIUrl":"10.1016/j.advwatres.2025.105162","url":null,"abstract":"<div><div>Accurately predicting runoff responses in ungauged catchments remains a central challenge in hydrology, particularly for regions lacking sufficient observational data. The regionalization approach is a powerful strategy to address this challenge, enabling the extrapolation of knowledge derived from gauged catchments to ungauged locations. However, the development of robust regionalization models is often constrained by limited datasets, in terms of the number of catchments and/or the availability of catchment attributes. Despite recent advancements, most existing studies evaluate model performance using subsets of the same dataset for both training and testing, limiting the assessment of model transferability. To address this gap, this study introduces a regionalization framework using the large-scale CAMELS-US dataset to train a set of regression models for predicting the calibrated parameters of the GR2M, a monthly water balance model. The framework is then evaluated on the CAMELS-GB (Great Britain dataset), representing a distinct climatic and geographic context beyond continental boundaries. A critical aspect of this study is its focus on uncovering the physical meaning of the GR2M parameters by linking them to measurable catchment attributes. Results show that while linear regression models perform well within the training domain, their predictive skill declines significantly when applied to the GB dataset. In contrast, machine learning models, particularly Support Vector Regression, demonstrate strong generalization capabilities, achieving high accuracy in predicting runoff responses across GB catchments. These findings underscore the importance of nonlinear approaches in developing globally transferable regionalization frameworks and underscore their potential to support reliable hydrologic predictions in data-scarce regions.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105162"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145383423","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":"2025-12-01","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":"How to improve numerical modelling of gravel replenishment with non-uniform sediment? Proof of concept with a comprehensive experimental dataset","authors":"Junjian Deng ,&nbsp;Guillaume Brousse ,&nbsp;Magali Jodeau","doi":"10.1016/j.advwatres.2025.105157","DOIUrl":"10.1016/j.advwatres.2025.105157","url":null,"abstract":"<div><div>Gravel replenishment is a common solution to restore river channel experiencing sediment deficit. However, its effects on channel morphology and surface grain size sorting are rarely considered in restoration projects. In this study, we investigated, both experimentally and numerically, the channel responses and surface grain size sorting resulting from gravel replenishment in a straight channel with alternate and mid-channel bars. Flume experiments showed a perturbation of the initial surface grain size sorting due to the full mobility of all sediment classes under high flows of a flood and the local morphological forcing induced by the replenishment. Using the Telemac2D-Gaia code, we developed a 2D numerical morphodynamic model of the experimental flume with non-uniform sediment. A calibrated model with a classic sediment mixture module successfully reproduced the erosion dynamics of the replenishment and the channel morphological changes observed during the experiments. By testing various grain size mixtures for the stockpile and the initial bed, the simulation results suggested that coarser stockpiles provided more persistent morphological forcing against flow erosion, which continuously promoting channel instability and triggered sediment transport. The finer sediment fraction within the stockpile was transported farthest downstream during the flood, highlighting its important role in fining the downstream bed and the need of thoughtful design in restoration projects. Our study demonstrated the current model’s ability to reproduce morphological processes in the context of non-uniform sediment and it is recommended as an operational tool for optimising gravel replenishment strategies.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"206 ","pages":"Article 105157"},"PeriodicalIF":4.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145358152","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":"2025-12-01","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}