{"title":"Mixed Copula for streamflow simulation based on intelligent knowledge set and parameter calibration using cooperation search algorithm","authors":"Yi-fan Xia, Zhong-kai Feng, Yang Xiao, Tao-tao Zhang, Ling-zhong Kong, Wen-jing Niu, Hui-ming Zhang","doi":"10.1016/j.advwatres.2026.105237","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105237","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"31 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138401","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}
Pub Date : 2026-02-06DOI: 10.1016/j.advwatres.2026.105236
Haotian Li, Saideep Pavuluri, Harris Sajjad Rabbani, Bicheng Yan
{"title":"Multi-resolution transfer learning for rapid prediction of pore-scale multiphase flow","authors":"Haotian Li, Saideep Pavuluri, Harris Sajjad Rabbani, Bicheng Yan","doi":"10.1016/j.advwatres.2026.105236","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105236","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"311 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134973","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}
Pub Date : 2026-02-06DOI: 10.1016/j.advwatres.2026.105235
Sree Rama Teja Tripuraneni, Daniel M. Tartakovsky, Hamdi A. Tchelepi
{"title":"Method of distributions for transient flow in porous media with uncertain properties","authors":"Sree Rama Teja Tripuraneni, Daniel M. Tartakovsky, Hamdi A. Tchelepi","doi":"10.1016/j.advwatres.2026.105235","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105235","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"56 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146134972","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}
Pub Date : 2026-02-03DOI: 10.1016/j.advwatres.2026.105233
Shuyao Niu, Zhike Zou, Longcang Shu, Giovanni Michele Porta
{"title":"Single Collector Capture Model Analysis of Particle Deposition: Effects of Hydrodynamics, Particle Size, and Collector Geometry","authors":"Shuyao Niu, Zhike Zou, Longcang Shu, Giovanni Michele Porta","doi":"10.1016/j.advwatres.2026.105233","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105233","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"8 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146110457","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}
Pub Date : 2026-02-01DOI: 10.1016/j.advwatres.2026.105232
Adebayo Sadiq, Kuldeep Singh
Riverbed topography exerts a primary control on hyporheic exchange, yet the combined influence of reach-scale slope curvature and pool-riffle morphology on subsurface flow organization remains poorly quantified. Using a high-resolution, idealized two-dimensional numerical model that couples turbulent river hydraulics with groundwater flow and solute transport, we systematically vary regional slope (S), longitudinal slope curvature (δ), and pool-riffle amplitude (a) and wavelength (λ) to isolate their independent and combined effects on hyporheic processes. We demonstrate that increasing reach-scale convexity—representing knickzone morphology common to mountain streams—generates vertically nested hyporheic flow cells that expand exchange zones up to an order of magnitude. Slope curvature amplifies penetration intensity and flow-path diversity until a threshold (δ ≈ 2–4), beyond which pool-riffle geometry becomes the dominant control. Pool-riffle aspect ratio (a/λ) governs exchange fluxes through a universal power-law scaling, while larger λ deepens flow paths and accelerates dilution, and larger a enhance flushing intensity. These multi-scale interactions produce non-Fickian residence time distributions and distinct mixing regimes. By explicitly linking reach-scale convexity to hyporheic exchange, this study provides a predictive framework for understanding how knickzone morphology and pool-riffle geometry jointly regulate solute retention, offering new guidance for river restoration and corridor management.
{"title":"Slope Curvature and Pool-Riffle Interactions Drive Hierarchical Hyporheic Exchange: A Predictive Framework for River Corridor Management","authors":"Adebayo Sadiq, Kuldeep Singh","doi":"10.1016/j.advwatres.2026.105232","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105232","url":null,"abstract":"Riverbed topography exerts a primary control on hyporheic exchange, yet the combined influence of reach-scale slope curvature and pool-riffle morphology on subsurface flow organization remains poorly quantified. Using a high-resolution, idealized two-dimensional numerical model that couples turbulent river hydraulics with groundwater flow and solute transport, we systematically vary regional slope (<ce:italic>S</ce:italic>), longitudinal slope curvature (δ), and pool-riffle amplitude (<ce:italic>a</ce:italic>) and wavelength (<ce:italic>λ</ce:italic>) to isolate their independent and combined effects on hyporheic processes. We demonstrate that increasing reach-scale convexity—representing knickzone morphology common to mountain streams—generates vertically nested hyporheic flow cells that expand exchange zones up to an order of magnitude. Slope curvature amplifies penetration intensity and flow-path diversity until a threshold (δ ≈ 2–4), beyond which pool-riffle geometry becomes the dominant control. Pool-riffle aspect ratio (<ce:italic>a</ce:italic>/<ce:italic>λ</ce:italic>) governs exchange fluxes through a universal power-law scaling, while larger <ce:italic>λ</ce:italic> deepens flow paths and accelerates dilution, and larger <ce:italic>a</ce:italic> enhance flushing intensity. These multi-scale interactions produce non-Fickian residence time distributions and distinct mixing regimes. By explicitly linking reach-scale convexity to hyporheic exchange, this study provides a predictive framework for understanding how knickzone morphology and pool-riffle geometry jointly regulate solute retention, offering new guidance for river restoration and corridor management.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"66 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146098394","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}
Pub Date : 2026-01-28DOI: 10.1016/j.advwatres.2026.105223
S. Annis, M.G. Badas, G. Mascaro
{"title":"Increasing the Fidelity of Hyperlocal Simulations of Urban Pluvial Flooding Through Street Flooding Observations","authors":"S. Annis, M.G. Badas, G. Mascaro","doi":"10.1016/j.advwatres.2026.105223","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105223","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"3 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072682","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}
Pub Date : 2026-01-28DOI: 10.1016/j.advwatres.2026.105224
Yunhui Wang, Peng Wu, Dan Li, Haiyuan Yao, Lei Huang, Yanghui Li
{"title":"Pore morphology and permeability evolution of hydrate-bearing sediments during dissociation process","authors":"Yunhui Wang, Peng Wu, Dan Li, Haiyuan Yao, Lei Huang, Yanghui Li","doi":"10.1016/j.advwatres.2026.105224","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105224","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"75 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-01-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072683","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}
Pub Date : 2026-01-27DOI: 10.1016/j.advwatres.2026.105222
Sidian Chen, Bo Guo, Tianyuan Zheng
{"title":"Coupled two-phase flow and surfactant/PFAS transport in porous media with angular pores: From pore-scale physics to Darcy-scale modeling","authors":"Sidian Chen, Bo Guo, Tianyuan Zheng","doi":"10.1016/j.advwatres.2026.105222","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105222","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"95 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146072684","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}
Pub Date : 2026-01-22DOI: 10.1016/j.advwatres.2026.105221
Haokai Zhao , Rohan Bhosale , Haruko M. Wainwright
Soil moisture monitoring and forecasting are critical in hydrological modeling, agriculture, and urban stormwater management applications. In this study, an Ensemble Kalman Filter (EnKF)-based algorithm is integrated with a real-world environmental sensing network and is demonstrated for real-time estimation and near-future forecasting of soil moisture. Reference evapotranspiration (ETo) is first estimated as prior information using the FAO-56 Penman-Monteith Equation, with meteorological data measured from the sensing network, followed by the hydrological model calibration through Monte Carlo simulations. The algorithm then assimilates physics-based hydrological simulations with real-time sensor data streams. For real-time estimation, the EnKF algorithm significantly improved accuracy over the calibrated hydrological model, achieving R² values of 0.98–0.99. For near-future forecasting, it outperformed a data-driven LSTM benchmark, particularly in predicting the timing of soil moisture responses to rainfall, with R2 values ranging from 0.78 to 0.82 for 7-day predictions. In addition, by incorporating a physics-based hydrological model, the algorithm provides soil moisture estimations and forecasts across the entire vertical soil column, rather than being limited to discrete sensor depths. By bridging the gap between sensor technologies and algorithmic modeling, this study establishes a scalable, real-time soil moisture monitoring and forecasting framework that supports more efficient water use and enhances early warning capabilities for drought and flood events, contributing to climate resilience.
{"title":"A physics-guided sensor-to-model framework for real-time estimation and near-future forecasting of soil moisture","authors":"Haokai Zhao , Rohan Bhosale , Haruko M. Wainwright","doi":"10.1016/j.advwatres.2026.105221","DOIUrl":"10.1016/j.advwatres.2026.105221","url":null,"abstract":"<div><div>Soil moisture monitoring and forecasting are critical in hydrological modeling, agriculture, and urban stormwater management applications. In this study, an Ensemble Kalman Filter (EnKF)-based algorithm is integrated with a real-world environmental sensing network and is demonstrated for real-time estimation and near-future forecasting of soil moisture. Reference evapotranspiration (ETo) is first estimated as prior information using the FAO-56 Penman-Monteith Equation, with meteorological data measured from the sensing network, followed by the hydrological model calibration through Monte Carlo simulations. The algorithm then assimilates physics-based hydrological simulations with real-time sensor data streams. For real-time estimation, the EnKF algorithm significantly improved accuracy over the calibrated hydrological model, achieving R² values of 0.98–0.99. For near-future forecasting, it outperformed a data-driven LSTM benchmark, particularly in predicting the timing of soil moisture responses to rainfall, with R<sup>2</sup> values ranging from 0.78 to 0.82 for 7-day predictions. In addition, by incorporating a physics-based hydrological model, the algorithm provides soil moisture estimations and forecasts across the entire vertical soil column, rather than being limited to discrete sensor depths. By bridging the gap between sensor technologies and algorithmic modeling, this study establishes a scalable, real-time soil moisture monitoring and forecasting framework that supports more efficient water use and enhances early warning capabilities for drought and flood events, contributing to climate resilience.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"209 ","pages":"Article 105221"},"PeriodicalIF":4.2,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033589","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}
Pub Date : 2026-01-22DOI: 10.1016/j.advwatres.2026.105217
Hamed Aghaei, Luca Colombera, Na Yan, Nigel P. Mountney, Odd Andersen, Andrea Di Giulio
{"title":"Capturing Scales of Heterogeneity in Models of Fluvial Geothermal Reservoirs: Grid Resolution, Upscaling Strategies, and Hierarchies of Sedimentary Architecture","authors":"Hamed Aghaei, Luca Colombera, Na Yan, Nigel P. Mountney, Odd Andersen, Andrea Di Giulio","doi":"10.1016/j.advwatres.2026.105217","DOIUrl":"https://doi.org/10.1016/j.advwatres.2026.105217","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"88 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2026-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146033588","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}
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