Pub Date : 2025-01-07DOI: 10.1016/j.advwatres.2024.104878
Bashar M. Al-Zghoul, William P. Johnson, Diogo Bolster
In this study, we present a general random walk model for upscaling colloid transport and retention in two-dimensional porous media. The model is based on direct sampling from spatial and temporal jump distributions of single-interceptors, colloids that first enter the near-surface zone within 200 nm of a collector surface, derived from mechanistic pore-assembly trajectory simulations. This framework facilitates the connection and transition between the interception space and physical space, thereby enabling the upscaling of spatial and temporal distributions of single interceptors to full retention profiles and total residence time distributions. Additionally, the proposed random walk model has been tested across a range of advection and diffusion scenarios, demonstrating both accuracy and efficiency in predicting retention profiles and total residence time distributions. Overall, with the appropriate inputs, this model provides a reliable and efficient framework for predicting colloid transport and retention in porous media without the need for extensive computational sources.
{"title":"A training trajectory random walk model for upscaling colloid transport under favorable and unfavorable conditions","authors":"Bashar M. Al-Zghoul, William P. Johnson, Diogo Bolster","doi":"10.1016/j.advwatres.2024.104878","DOIUrl":"https://doi.org/10.1016/j.advwatres.2024.104878","url":null,"abstract":"In this study, we present a general random walk model for upscaling colloid transport and retention in two-dimensional porous media. The model is based on direct sampling from spatial and temporal jump distributions of single-interceptors, colloids that first enter the near-surface zone within 200 nm of a collector surface, derived from mechanistic pore-assembly trajectory simulations. This framework facilitates the connection and transition between the interception space and physical space, thereby enabling the upscaling of spatial and temporal distributions of single interceptors to full retention profiles and total residence time distributions. Additionally, the proposed random walk model has been tested across a range of advection and diffusion scenarios, demonstrating both accuracy and efficiency in predicting retention profiles and total residence time distributions. Overall, with the appropriate inputs, this model provides a reliable and efficient framework for predicting colloid transport and retention in porous media without the need for extensive computational sources.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"28 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142975198","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 : 2025-01-02DOI: 10.1016/j.advwatres.2024.104882
Jhuan B. Cedro, Filipe F. de Paula, Grigori Chapiro
Foam flow in porous media is important in various engineering applications, including soil remediation, carbon dioxide sequestration, and enhanced oil recovery. This study explores the relationship between bubble density and permeability in foam flow models, focusing on how different approaches capture foam formation in highly permeable regions. We compare two mechanistic models numerically. The first one is a Newtonian model with simple foam generation mechanics, while the second is a non-Newtonian model that incorporates complex mechanisms of foam generation and destruction depending on phase velocities and capillary pressure. Our results demonstrated that the more complex model exhibited a strong correlation between bubble density and permeability, while the simpler model maintained a constant bubble density despite the heterogeneity. This observed correlation, while experimentally documented, was not analyzed from a theoretical modeling perspective. For comparing both models, we developed a workflow for fitting the corresponding parameters based on foam equilibrium. As a result, two-dimensional simulations showed good agreement in gas front location, breakthrough time, and production rates for both models.
{"title":"On the modeling of the foam dynamics in heterogeneous porous media","authors":"Jhuan B. Cedro, Filipe F. de Paula, Grigori Chapiro","doi":"10.1016/j.advwatres.2024.104882","DOIUrl":"https://doi.org/10.1016/j.advwatres.2024.104882","url":null,"abstract":"Foam flow in porous media is important in various engineering applications, including soil remediation, carbon dioxide sequestration, and enhanced oil recovery. This study explores the relationship between bubble density and permeability in foam flow models, focusing on how different approaches capture foam formation in highly permeable regions. We compare two mechanistic models numerically. The first one is a Newtonian model with simple foam generation mechanics, while the second is a non-Newtonian model that incorporates complex mechanisms of foam generation and destruction depending on phase velocities and capillary pressure. Our results demonstrated that the more complex model exhibited a strong correlation between bubble density and permeability, while the simpler model maintained a constant bubble density despite the heterogeneity. This observed correlation, while experimentally documented, was not analyzed from a theoretical modeling perspective. For comparing both models, we developed a workflow for fitting the corresponding parameters based on foam equilibrium. As a result, two-dimensional simulations showed good agreement in gas front location, breakthrough time, and production rates for both models.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"96 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929732","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 : 2024-12-30DOI: 10.1016/j.advwatres.2024.104886
Mohammad Afzal Shadab, Dingcheng Luo, Eric Hiatt, Yiran Shen, Marc Andre Hesse
{"title":"Corrigendum to “Investigating Steady Unconfined Groundwater Flow using Physics Informed Neural Networks” [Advances in Water Resources Volume 177 (2023), 104445]","authors":"Mohammad Afzal Shadab, Dingcheng Luo, Eric Hiatt, Yiran Shen, Marc Andre Hesse","doi":"10.1016/j.advwatres.2024.104886","DOIUrl":"https://doi.org/10.1016/j.advwatres.2024.104886","url":null,"abstract":"","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"26 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142902112","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 : 2024-12-28DOI: 10.1016/j.advwatres.2024.104879
Flore Rembert, Nicole M. Fernandez, Linda Luquot, Roger Guérin, Damien Jougnot
The use of geoelectrical monitoring of groundwater quality and contamination is a growing and promising topic. Nowadays, geoelectrical methods are mostly used as qualitative detection tools. This study aims to better use geoelectrical signals as a complementary tool for the quantitative characterization of chemical species transport and reaction in the porous matrix by developing a coupled mechanistic model. We examine the dissolution of calcite as an effective proof-of-concept. Our investigation focuses on the impact of the reactive zone’s position, extent, and intensity of geoelectrical signals under various inlet conditions. We conducted five experiments on flow-through columns equipped with geoelectrical monitoring. This study presents a unique dataset that is analyzed using a workflow that combines reactive transport numerical simulation with numerical modeling of geoelectrical and structural properties. The comparison of the predicted signals with the experimental data clearly shows the characterization of the spatial and temporal distributions of the reaction rates.
{"title":"Investigating solute transport and reaction using a mechanistically coupled geochemical and geophysical modeling approach","authors":"Flore Rembert, Nicole M. Fernandez, Linda Luquot, Roger Guérin, Damien Jougnot","doi":"10.1016/j.advwatres.2024.104879","DOIUrl":"https://doi.org/10.1016/j.advwatres.2024.104879","url":null,"abstract":"The use of geoelectrical monitoring of groundwater quality and contamination is a growing and promising topic. Nowadays, geoelectrical methods are mostly used as qualitative detection tools. This study aims to better use geoelectrical signals as a complementary tool for the quantitative characterization of chemical species transport and reaction in the porous matrix by developing a coupled mechanistic model. We examine the dissolution of calcite as an effective proof-of-concept. Our investigation focuses on the impact of the reactive zone’s position, extent, and intensity of geoelectrical signals under various inlet conditions. We conducted five experiments on flow-through columns equipped with geoelectrical monitoring. This study presents a unique dataset that is analyzed using a workflow that combines reactive transport numerical simulation with numerical modeling of geoelectrical and structural properties. The comparison of the predicted signals with the experimental data clearly shows the characterization of the spatial and temporal distributions of the reaction rates.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"73 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142929733","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}
Porous media is widely distributed in nature, found in environments such as soil, rock formations, and plant tissues, and is crucial in applications like subsurface oil and gas extraction, medical drug delivery, and filtration systems. Understanding the properties of porous media, such as the permeability and formation factor, is crucial for comprehending the physics of fluid flow within them. We present a novel fusion model that significantly enhances memory efficiency compared to traditional convolutional neural networks (CNNs) while maintaining high predictive accuracy. Although the CNNs have been employed to estimate these properties from high-resolution, three-dimensional images of porous media, they often suffer from high memory consumption when processing large-dimensional inputs. Our model integrates a simplified CNN with a graph neural network (GNN), which efficiently consolidates clusters of pixels into graph nodes and edges that represent pores and throats, respectively. This graph-based approach aligns naturally with the porous medium structure, enabling large-scale simulations that are challenging with traditional methods. Furthermore, we use the GNN Grad-CAM technology to provide new interpretability and insights into fluid dynamics in porous media. Our results demonstrate that the accuracy of the fusion model in predicting porous medium properties is superior to that of the standalone CNN, while its total parameter count is nearly two orders of magnitude lower. This innovative approach highlights the transformative potential of hybrid neural network architectures in advancing research on fluid flow in porous media.
{"title":"A computationally efficient hybrid neural network architecture for porous media: Integrating convolutional and graph neural networks for improved property predictions","authors":"Qingqi Zhao, Xiaoxue Han, Ruichang Guo, Cheng Chen","doi":"10.1016/j.advwatres.2024.104881","DOIUrl":"https://doi.org/10.1016/j.advwatres.2024.104881","url":null,"abstract":"Porous media is widely distributed in nature, found in environments such as soil, rock formations, and plant tissues, and is crucial in applications like subsurface oil and gas extraction, medical drug delivery, and filtration systems. Understanding the properties of porous media, such as the permeability and formation factor, is crucial for comprehending the physics of fluid flow within them. We present a novel fusion model that significantly enhances memory efficiency compared to traditional convolutional neural networks (CNNs) while maintaining high predictive accuracy. Although the CNNs have been employed to estimate these properties from high-resolution, three-dimensional images of porous media, they often suffer from high memory consumption when processing large-dimensional inputs. Our model integrates a simplified CNN with a graph neural network (GNN), which efficiently consolidates clusters of pixels into graph nodes and edges that represent pores and throats, respectively. This graph-based approach aligns naturally with the porous medium structure, enabling large-scale simulations that are challenging with traditional methods. Furthermore, we use the GNN Grad-CAM technology to provide new interpretability and insights into fluid dynamics in porous media. Our results demonstrate that the accuracy of the fusion model in predicting porous medium properties is superior to that of the standalone CNN, while its total parameter count is nearly two orders of magnitude lower. This innovative approach highlights the transformative potential of hybrid neural network architectures in advancing research on fluid flow in porous media.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"67 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142901785","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}
Based on the assumption that biofilms are impermeable, we investigated the mechanism and law of the influence of microbial growth non-uniformity on the permeability of porous media in the artificial recharge of groundwater. The relationship between the total permeability of porous media and that of cross section was developed and the coupled Lattice Boltzmann Method-Immersed Moving Boundary-Cellular Automata (LBM-IBM-CA) model was used to simulate the non-uniform microbial growth in porous media. Quantitative analysis was conducted on the impact of the grain sparsity of porous media on the non-uniformity of relative porosity changes and permeability decrease caused by microbial growth. The non-uniformity of relative porosity changes was innovatively introduced into the porosity-permeability relationship. The main results are as follows. (1) The non-uniformity of nutrient concentration distribution in porous media is the fundamental reason for the non-uniformity of microbial growth and relative porosity changes. (2) The non-uniformity of relative porosity changes increases with microbial growth for the porous media with smaller grain sparsity. However, the opposite situation occurs for the porous media with larger grain sparsity. (3) In the event of clogging of porous media, the pressure drop caused by biological growth accounts for more than 90 % of the total pressure drop. (4) In the power-law relationship of the porosity-permeability, the index of non-uniformity of relative porosity changes is closely related to the sparsity of the grain at the entrance of porous media.
{"title":"Study on the effects of non-uniformity of microbial growth on permeability changes in porous media","authors":"Gengyang Zang, Lijian Huang, Shilin Wang, Taijia Lu, Yanfeng Gong, Liping Chen","doi":"10.1016/j.advwatres.2024.104876","DOIUrl":"https://doi.org/10.1016/j.advwatres.2024.104876","url":null,"abstract":"Based on the assumption that biofilms are impermeable, we investigated the mechanism and law of the influence of microbial growth non-uniformity on the permeability of porous media in the artificial recharge of groundwater. The relationship between the total permeability of porous media and that of cross section was developed and the coupled Lattice Boltzmann Method-Immersed Moving Boundary-Cellular Automata (LBM-IBM-CA) model was used to simulate the non-uniform microbial growth in porous media. Quantitative analysis was conducted on the impact of the grain sparsity of porous media on the non-uniformity of relative porosity changes and permeability decrease caused by microbial growth. The non-uniformity of relative porosity changes was innovatively introduced into the porosity-permeability relationship. The main results are as follows. (1) The non-uniformity of nutrient concentration distribution in porous media is the fundamental reason for the non-uniformity of microbial growth and relative porosity changes. (2) The non-uniformity of relative porosity changes increases with microbial growth for the porous media with smaller grain sparsity. However, the opposite situation occurs for the porous media with larger grain sparsity. (3) In the event of clogging of porous media, the pressure drop caused by biological growth accounts for more than 90 % of the total pressure drop. (4) In the power-law relationship of the porosity-permeability, the index of non-uniformity of relative porosity changes is closely related to the sparsity of the grain at the entrance of porous media.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"61 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142874789","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 : 2024-12-11DOI: 10.1016/j.advwatres.2024.104874
Mohammad M. Sedghi, Hongbin Zhan
Fractured aquifers sometimes underlie unconfined aquifers to form unconfined-fractured aquifer systems. The discharges of qanats constructed in such aquifer systems depend not only on the hydraulic parameters of the overlying aquifer but also on the hydraulic parameters of the underlying aquifer, where qanats can be approximated as constant-head slightly inclined horizontal wells. The available analytical solutions of the transient discharge variation of a qanat usually consider a single-layer unconfined aquifer and cannot be used to simulate the transient discharge variation of a qanat in an unconfined-fractured aquifer system. Thus, the goal of this work is to develop such an analytical model. The solution of the drawdown due to a point sink and the solution of the groundwater mound due to an areal recharge in an unconfined-fractured aquifer system are obtained using Laplace and Fourier transforms. These solutions are utilized to obtain the discharge variation of qanat in an unconfined-fractured aquifer system. By removing the inter-porosity flow term from the underlying fractured aquifer, the solution can be used to simulate the discharge variation of qanat in a two-layer aquifer or an aquifer-aquitard system. The effects of the hydraulic and geometric parameters of the underlying fractured aquifer on the discharge variation of qanat in an overlying, unconfined aquifer are explored. The solution can be utilized to predict the transient discharge of qanat due to rainfall or constant head horizontal well in an unconfined-fractured aquifer system; to estimate the hydraulic parameters of the underlying fractured aquifer using the discharge data of qanat or a horizontal constant-head well; to evaluate the response of qanat to areal recharge due to rainfall among other applications, thereby demonstrating the practical relevance and potential impact of our research on real-world hydrological problems.
{"title":"On transient qanat discharge in an unconfined aquifer underlain by a fractured aquifer","authors":"Mohammad M. Sedghi, Hongbin Zhan","doi":"10.1016/j.advwatres.2024.104874","DOIUrl":"https://doi.org/10.1016/j.advwatres.2024.104874","url":null,"abstract":"Fractured aquifers sometimes underlie unconfined aquifers to form unconfined-fractured aquifer systems. The discharges of qanats constructed in such aquifer systems depend not only on the hydraulic parameters of the overlying aquifer but also on the hydraulic parameters of the underlying aquifer, where qanats can be approximated as constant-head slightly inclined horizontal wells. The available analytical solutions of the transient discharge variation of a qanat usually consider a single-layer unconfined aquifer and cannot be used to simulate the transient discharge variation of a qanat in an unconfined-fractured aquifer system. Thus, the goal of this work is to develop such an analytical model. The solution of the drawdown due to a point sink and the solution of the groundwater mound due to an areal recharge in an unconfined-fractured aquifer system are obtained using Laplace and Fourier transforms. These solutions are utilized to obtain the discharge variation of qanat in an unconfined-fractured aquifer system. By removing the inter-porosity flow term from the underlying fractured aquifer, the solution can be used to simulate the discharge variation of qanat in a two-layer aquifer or an aquifer-aquitard system. The effects of the hydraulic and geometric parameters of the underlying fractured aquifer on the discharge variation of qanat in an overlying, unconfined aquifer are explored. The solution can be utilized to predict the transient discharge of qanat due to rainfall or constant head horizontal well in an unconfined-fractured aquifer system; to estimate the hydraulic parameters of the underlying fractured aquifer using the discharge data of qanat or a horizontal constant-head well; to evaluate the response of qanat to areal recharge due to rainfall among other applications, thereby demonstrating the practical relevance and potential impact of our research on real-world hydrological problems.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"30 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825420","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 : 2024-12-05DOI: 10.1016/j.advwatres.2024.104869
Ziyao Xu, Dennis Gläser
The box method discrete fracture model (Box-DFM) is an important finite volume-based discrete fracture model (DFM) to simulate flows in fractured porous media. In this paper, we investigate a simple but effective extension of the box method discrete fracture model to include low-permeable barriers. The method remains identical to the traditional Box-DFM in the absence of barriers. The inclusion of barriers requires only minimal additional degrees of freedom to accommodate pressure discontinuities and necessitates minor modifications to the original coding framework of the Box-DFM. We use extensive numerical tests on published benchmark problems and comparison with existing finite volume DFMs to demonstrate the validity and performance of the method.
{"title":"An extension of the box method discrete fracture model (Box-DFM) to include low-permeable barriers with minimal additional degrees of freedom","authors":"Ziyao Xu, Dennis Gläser","doi":"10.1016/j.advwatres.2024.104869","DOIUrl":"https://doi.org/10.1016/j.advwatres.2024.104869","url":null,"abstract":"The box method discrete fracture model (Box-DFM) is an important finite volume-based discrete fracture model (DFM) to simulate flows in fractured porous media. In this paper, we investigate a simple but effective extension of the box method discrete fracture model to include low-permeable barriers. The method remains identical to the traditional Box-DFM in the absence of barriers. The inclusion of barriers requires only minimal additional degrees of freedom to accommodate pressure discontinuities and necessitates minor modifications to the original coding framework of the Box-DFM. We use extensive numerical tests on published benchmark problems and comparison with existing finite volume DFMs to demonstrate the validity and performance of the method.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"28 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793883","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 : 2024-12-03DOI: 10.1016/j.advwatres.2024.104858
Georgios Boumis, Hamed R. Moftakhari, Danhyang Lee, Hamid Moradkhani
Compound floods may happen in low-lying estuarine environments when sea level above normal tide co-occurs with high river flow. Thus, comprehensive flood risk assessments for estuaries should not only account for the individual hazard arising from each environmental variable in isolation, but also for the case of bivariate hazard. Characterization of the dependence structure of the two flood drivers becomes then crucial, especially under climatic variability and change that may affect their relationship. In this article, we demonstrate our search for evidence of non-stationarity in the dependence between river discharge and storm surge along the East and Gulf coasts of the United States, driven by large-scale climate variability, particularly El-Niño Southern Oscillation and North Atlantic Oscillation (NAO). Leveraging prolonged overlapping observational records and copula theory, we recover parameters of both stationary and dynamic copulas using state-of-the-art Markov Chain Monte Carlo methods. Physics-informed copulas are developed by modeling the magnitude of dependence as a linear function of large-scale climate indices, i.e., Oceanic Niño Index or NAO index. After model comparison via suitable Bayesian metrics, we find no strong indication of such non-stationarity for most estuaries included in our analysis. However, when non-stationarity due to these climate modes cannot be neglected, this work highlights the importance of appropriately characterizing bivariate hazard under non-stationarity assumption. As an example, we find that during a strong El-Niño year, Galveston Bay, TX, is much more likely to experience a coincidence of abnormal sea level and elevated river stage.
{"title":"In search of non-stationary dependence between estuarine river discharge and storm surge based on large-scale climate teleconnections","authors":"Georgios Boumis, Hamed R. Moftakhari, Danhyang Lee, Hamid Moradkhani","doi":"10.1016/j.advwatres.2024.104858","DOIUrl":"https://doi.org/10.1016/j.advwatres.2024.104858","url":null,"abstract":"Compound floods may happen in low-lying estuarine environments when sea level above normal tide co-occurs with high river flow. Thus, comprehensive flood risk assessments for estuaries should not only account for the individual hazard arising from each environmental variable in isolation, but also for the case of bivariate hazard. Characterization of the dependence structure of the two flood drivers becomes then crucial, especially under climatic variability and change that may affect their relationship. In this article, we demonstrate our search for evidence of non-stationarity in the dependence between river discharge and storm surge along the East and Gulf coasts of the United States, driven by large-scale climate variability, particularly El-Niño Southern Oscillation and North Atlantic Oscillation (NAO). Leveraging prolonged overlapping observational records and copula theory, we recover parameters of both stationary and dynamic copulas using state-of-the-art Markov Chain Monte Carlo methods. Physics-informed copulas are developed by modeling the magnitude of dependence as a linear function of large-scale climate indices, i.e., Oceanic Niño Index or NAO index. After model comparison via suitable Bayesian metrics, we find no strong indication of such non-stationarity for most estuaries included in our analysis. However, when non-stationarity due to these climate modes cannot be neglected, this work highlights the importance of appropriately characterizing bivariate hazard under non-stationarity assumption. As an example, we find that during a strong El-Niño year, Galveston Bay, TX, is much more likely to experience a coincidence of abnormal sea level and elevated river stage.","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"20 1","pages":""},"PeriodicalIF":4.7,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142793907","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 : 2024-11-21DOI: 10.1016/j.advwatres.2024.104854
Chenhao Zhang , Mingliang Zhang
Reasonable estimates of longitudinal dispersion coefficients are essential for predicting solute dispersion processes. However, the current knowledge of solute dispersion processes in vegetated waters is limited. In this work, we coupled a refined hydrodynamic model with scalar transport equations to simulate the flow field and dispersion process of solutes in water under the effect of vegetation. First, the proposed numerical model was verified using laboratory experiments, revealing the excellent performance of the coupled model in complex conditions. Eight different cases were subsequently simulated to analyse the effects of the upstream flow rate and vegetation height on the streamwise velocity, solute concentration, and longitudinal dispersion coefficients. The simulation results show that the upstream flow variation exerts a marked effect on the streamwise velocity and flow field within the vegetation zone, with a velocity difference within the shear layer reaching 54.7 % for an upstream flow of 0.018 m3·s-1. The height of the vegetation affects both the velocity profile and solute dispersion. Placing emergent vegetation upstream can enhance solute dispersion in the longitudinal direction. The correlation analysis reveals that the longitudinal dispersion coefficients obtained using the routing producer are close to those determined using the theoretical method, with correlation coefficients reaching 0.75. This work presents the appropriate application range and parameters that must be considered in deriving formulas for longitudinal dispersion coefficients.
{"title":"Numerical analysis of solute transport and longitudinal dispersion coefficients in vegetated flow","authors":"Chenhao Zhang , Mingliang Zhang","doi":"10.1016/j.advwatres.2024.104854","DOIUrl":"10.1016/j.advwatres.2024.104854","url":null,"abstract":"<div><div>Reasonable estimates of longitudinal dispersion coefficients are essential for predicting solute dispersion processes. However, the current knowledge of solute dispersion processes in vegetated waters is limited. In this work, we coupled a refined hydrodynamic model with scalar transport equations to simulate the flow field and dispersion process of solutes in water under the effect of vegetation. First, the proposed numerical model was verified using laboratory experiments, revealing the excellent performance of the coupled model in complex conditions. Eight different cases were subsequently simulated to analyse the effects of the upstream flow rate and vegetation height on the streamwise velocity, solute concentration, and longitudinal dispersion coefficients. The simulation results show that the upstream flow variation exerts a marked effect on the streamwise velocity and flow field within the vegetation zone, with a velocity difference within the shear layer reaching 54.7 % for an upstream flow of 0.018 m<sup>3</sup>·s<sup>-1</sup>. The height of the vegetation affects both the velocity profile and solute dispersion. Placing emergent vegetation upstream can enhance solute dispersion in the longitudinal direction. The correlation analysis reveals that the longitudinal dispersion coefficients obtained using the routing producer are close to those determined using the theoretical method, with correlation coefficients reaching 0.75. This work presents the appropriate application range and parameters that must be considered in deriving formulas for longitudinal dispersion coefficients.</div></div>","PeriodicalId":7614,"journal":{"name":"Advances in Water Resources","volume":"194 ","pages":"Article 104854"},"PeriodicalIF":4.0,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142723791","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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