Article
Engineering, Environmental
Ziqi Ma, Zhenxue Dai, Xiaoying Zhang, Chuanjun Zhan, Huili Gong, Lin Zhu, Corey D. Wallace, Mohamad Reza Soltanian
Summary: The accuracy of flow and contaminant transport prediction in subsurface formations is significantly affected by heterogeneity. The study found that the model can accurately predict plume spreading when the spatial correlation structure is well defined. Moreover, the upscaled dispersivity is mainly influenced by the cross-transition probability structure.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Geosciences, Multidisciplinary
Yaniv Edery, Martin Stolar, Giovanni Porta, Alberto Guadagnini
Summary: The study reveals that dissolution and precipitation occur in different locations within the system, with preferential flow paths associated with high conductivity values contributing to a sustained feedback between transport and reaction processes. This leads to the emergence of non-Fickian effective transport features over time.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2021)
Article
Engineering, Civil
Wanli Ren, Heng Dai, Songhu Yuan, Zhenxue Dai, Ming Ye, Mohamad Reza Soltanian
Summary: Lagrangian-based transport models can effectively study mass transport processes in aquifer systems. This study identifies the key uncertain inputs for non-reactive and sorptive solute dispersivity through a global sensitivity analysis. The results show that sorptive solute dispersivity is most sensitive to in-facies mean Kd, while non-reactive plume dispersivity is most sensitive to in-facies mean K and other facies properties.
JOURNAL OF HYDROLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Jinzhen Yu, Xueqing Zhang, Xiaoxuan Sheng, Wensheng Jiang
Summary: Using a numerical hydrodynamic model and Lagrangian particle tracking method, this study derived the Lagrangian flow network and Lagrangian residual velocity in the tide-dominant Bohai Sea. The characteristics of the Lagrangian flow network show distinct regional features and the Lagrangian residual velocity can be well maintained over multiple tidal periods. The mechanism behind these features was explained theoretically. This research provides insights into analyzing flow and transport pathways in shallow, tide-dominated coastal regions using the Lagrangian flow network.
Article
Oceanography
F. J. Beron-Vera, M. J. Olascoaga, L. Helfmann, P. Miron
Summary: In this study, TPT is applied to explore the equatorward export of Iceland-Scotland Overflow Water (ISOW) by examining its flow from the origin to the region where it exits the subpolar North Atlantic. The results suggest that insufficient sampling might be biasing the revision of the traditional abyssal circulation theory. Analyses of three Markov chains, modeling the ISOW flow, show that a high-density sampling supports a well-defined deep boundary current (DBC), while less heterogeneous sampling does not. Recommendations are given for enlarging the existing float data-set to improve the significance of conclusions about the long-time-asymptotic aspects of ISOW circulation.
JOURNAL OF PHYSICAL OCEANOGRAPHY
(2023)
Article
Engineering, Marine
Sheng Yan, Zhili Zou, Zaijin You
Summary: This study derives the Eulerian description of the Stokes drift effect on tracer transport, showing that it can be automatically accounted for in the wave-averaged advection-diffusion equation. The theoretical analysis is verified through numerical simulations and experimental observations.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Marine & Freshwater Biology
Xiaoxuan Sheng, Xinyan Mao, Jinzhen Yu, Xueqing Zhang, Wensheng Jiang, Youyu Lu
Summary: Many tide-dominated long-narrow bays worldwide face marine pollution due to their semi-enclosed nature. This study focused on the inner Xiangshan Bay in the East China Sea, investigating the three-dimensional mass transport within the bay. The results showed that the mass transport was mainly controlled by the balance between tidal-averaged barotropic gradient force and tidal body force.
ESTUARINE COASTAL AND SHELF SCIENCE
(2022)
Article
Mathematics, Interdisciplinary Applications
Qingzhi Hou, Chunfu Miao, Shaokang Chen, Zewei Sun, Alireza Karemat
Summary: In this paper, a parallelized Lagrangian particle model is proposed for simulating contaminant transport in groundwater. By using smoothed particle hydrodynamics (SPH) method and corrective smoothed particle method (CSPM), the inherent particle inconsistency problem of traditional methods is solved. The numerical results are in good agreement with measured data.
COMPUTATIONAL PARTICLE MECHANICS
(2023)
Article
Materials Science, Composites
Chaocan Cai, Tieliang Zhang, Xin Wang, Weilong Yin, Zhonghai Xu, Rongguo Wang, Xiaodong He
Summary: In this study, a new approach based on the maximum penetration-biased (MPB) algorithm is proposed for rapidly generating representative volume elements (RVEs) for advanced composites. The method can handle various microstructural features and reproduce realistic composites. The method is further validated by accurately predicting the elastic properties and transverse isotropy of the generated microstructures with varying inclusion shapes using homogenization method.
COMPOSITES SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Marine
Nan Wang, Ruichen Cao, Xianqing Lv, Honghua Shi
Summary: In this study, a transport model for typical pollutants in the Yellow Sea is developed using the Lagrangian particle tracking method. The model incorporates the influence of ocean currents and surface winds on pollutant transport and identifies characteristic circles that represent the pollutant distribution patterns. An empirical formula is derived based on the current and wind information within these characteristic circles to predict the spatial distribution of pollutants. The study provides valuable insights into pollutant transport behavior and contributes to the efficient management and planning of marine activities in the region.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Mechanics
Jianqiu Liu, Minsheng Huang, Zhenhuan Li, Lv Zhao, Yaxin Zhu
Summary: This study creatively designed a novel microvoid growth model based on deep neural network, which combines convolutional and long short-term memory components, successfully capturing the statistical characteristic of microvoid growth in heterogeneous polycrystals. It is expected that this deep learning-based method can provide a new approach for predicting microvoid growth at the grain-level.
ENGINEERING FRACTURE MECHANICS
(2022)
Article
Environmental Sciences
Abolghasem Pilechi, Abdolmajid Mohammadian, Enda Murphy
Summary: This study presents a new numerical framework for predicting microplastics fate and transport in water bodies. The framework consists of a Lagrangian, three-dimensional particle-tracking model coupled with an Eulerian-based hydrodynamic modeling system. The study investigates the sensitivity of different advection schemes on the model predictions and identifies the Third Order Total Variation Diminishing (TVD3) Runge-Kutta method as the optimal choice.
MARINE POLLUTION BULLETIN
(2022)
Article
Engineering, Ocean
Michael O'Malley, Adam M. Sykulski, Romuald Laso-Jadart, Mohammed-Amin Madoui
Summary: The paper introduces a novel method for computing the most likely path taken by drifters between arbitrary fixed locations in the ocean and estimating the associated travel time. The method is purely data driven and can handle multiple locations in the ocean globally, while providing estimates of error and uncertainty.
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Neda Mardani, Mohammadreza Khanarmuei, Kabir Suara, Richard Brown, Adrian McCallum, Roy C. Sidle
Summary: The study demonstrates that assimilating Lagrangian data obtained from GPS-tracked drifters into a tidal channel for a few hours can significantly improve the modeled velocity fields (up to 30% herein). Additionally, a 40% improvement in residual current direction was achieved when assimilating both Lagrangian and Eulerian data.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Environmental
Xiaoxiao Chen, Zhixiang Yu
Summary: The aim of this study is to develop a wind-induced snow transport model using the multiphase particle-in-cell (MP-PIC) approach. The model considers the airflow as a continuum (Eulerian phase) and the snow as discrete particles (Lagrangian phase). The validation shows that the Eulerian-Lagrangian approach yields a better agreement with experimental observations, especially in the presence of obstacles, compared to the Eulerian-Eulerian approach. The advantages of the Eulerian-Lagrangian approach include independent snow momentum-governing equations and a precise snow-airflow momentum exchange model, which could be beneficial for snow transport prediction in urban environments.
COLD REGIONS SCIENCE AND TECHNOLOGY
(2023)
Article
Engineering, Chemical
Alessandra Bonazzi, Marco Dentz, Felipe P. J. de Barros
Summary: In this study, we investigate transport of an inert solute in multidimensional porous media and analyze the factors that impact solute mixing. We compare the probability distributions obtained from numerical simulations with the beta distribution and propose variable transformations to improve the fit at low concentrations. The results are validated against existing analytical solution for both homogeneous and heterogeneous media.
TRANSPORT IN POROUS MEDIA
(2023)
Article
Engineering, Chemical
Joaquim Soler-Sagarra, Jesus Carrera, Enrique Bonet, Carles Roig, Pablo Becker
Summary: This paper proposes a formulation based on the Water Mixing Approach to model solute transport in heterogeneous porous media. The formulation takes into account the scale dependence of dispersion and the separation of mixing from spreading. It introduces velocity as an independent variable, allowing concentration to depend on time, space, and velocity. The formulation, termed the Multi-Advective Water Mixing Approach, incorporates a new mixing term between velocity classes. Experimental results demonstrate the high accuracy of the formulation in both dispersion and mixing, with the mixing process exhibiting Markovianity in space despite being modeled in time.
TRANSPORT IN POROUS MEDIA
(2023)
Article
Engineering, Chemical
Marco Dentz, Juan J. Hidalgo, Daniel Lester
Summary: This review provides an overview of concepts and approaches for quantifying passive, non-reactive solute mixing in porous media flows. It discusses the interrelated processes of stirring, dispersion, and mixing, and reviews different methods to quantify them. The review also emphasizes the multiscale nature of mixing and its dependence on medium structure and flow conditions.
TRANSPORT IN POROUS MEDIA
(2023)
Editorial Material
Engineering, Chemical
Marco Dentz, Daniel R. Lester, Michel F. M. Speetjens
TRANSPORT IN POROUS MEDIA
(2023)
Article
Environmental Sciences
Ilan Ben-Noah, J. J. Hidalgo, Joaquin Jimenez-Martinez, Marco Dentz
Summary: In this study, the upscaling of pore-scale solute transport in partially saturated porous media at different saturation degrees was investigated. It was found that the interaction between structural heterogeneity, phases distribution, and small-scale flow dynamics leads to complex flow patterns and broad probability distributions of flow. A continuous-time random walk (CTRW) framework was used to upscale and evaluate the transport of diluted solutes, and the results were compared to direct numerical simulations. The analysis showed that the fluid phase saturation, as well as the Peclet number, influenced the advective tortuosity, characteristic length, fraction of immobile region, mean trapping time, trapping length, and trapping frequency.
WATER RESOURCES RESEARCH
(2023)
Article
Water Resources
Laurent Talon, Emma Ollivier-Triquet, Marco Dentz, Daniela Bauer
Summary: Transport processes in the subsurface are strongly influenced by the heterogeneity of the porous structure. The heterogeneity of the permeability field and exchange times have significant impacts on the transient and asymptotic transport regimes. A parametric study is conducted to investigate these impacts and a continuous time random walk (CTRW) model is developed to upscale the transport behaviors.
ADVANCES IN WATER RESOURCES
(2023)
Article
Engineering, Environmental
Daniel Gutierrez-Martin, Ruben Gil-Solsona, Maarten W. Saaltink, Valenti Rodellas, Rebeca Lopez-Serna, Albert Folch, Jesus Carrera, Pablo Gago-Ferrero
Summary: This study evaluates the presence and distribution of a wide range of chemicals of emerging concern (CECs) in a Mediterranean coastal aquifer near Barcelona, Spain, and identifies potential markers and tracers for anthropogenic contamination in groundwater and seawater. The results highlight the importance of submarine groundwater discharge as a source of CECs and suggest new approaches for studying the fate and transport of pollutants.
JOURNAL OF HAZARDOUS MATERIALS
(2023)
Article
Environmental Sciences
Michela Trabucchi, Daniel Fernandez Garcia, Jesus Carrera
Summary: Wormholes are conductive channels formed in highly soluble rocks, playing a crucial role in the sustainability of saline karst aquifers. The dynamics of wormholes depend on the hydrodynamic and geochemical conditions during formation, as well as the competition for flow. However, there is a lack of direct observation and quantification of wormhole dynamics. In this study, an experimental set-up was proposed to visualize and characterize the growth of multiple wormholes, providing insights into the changes in flow and transport behavior of aquifers.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Adria Sunyer-Caldu, Barbara Benedetti, Cristina Valhondo, Lurdes Martinez-Landa, Jesus Carrera, Marina Di Carro, Emanuele Magi, M. Silvia Diaz-Cruz
Summary: The need and availability of freshwater is a major environmental issue, aggravated by climate change. Alternative sources of freshwater, such as wastewater, require extensive treatment to remove contaminants. It is urgent to develop sustainable wastewater treatment techniques and water quality assessment methods.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Environmental Sciences
Daniel R. Lester, Marco Dentz, Prajwal Singh, Aditya Bandopadhyay
Summary: This study compares the transverse macrodispersion in porous media with different conductivity structures under purely advective transport. It is found that porous media with smooth, locally isotropic hydraulic conductivity exhibit zero transverse macrodispersion, while non-smooth or locally anisotropic conductivity fields can generate transverse macrodispersion. These findings provide insights into the mechanisms that govern transverse macrodispersion in groundwater flow.
WATER RESOURCES RESEARCH
(2023)
Article
Physics, Fluids & Plasmas
A. Ganesh, C. Douarche, M. Dentz, H. Auradou
Summary: This paper presents a numerical study on the dispersion of bacteria in a plane Poiseuille flow, modeling the bacteria as active Brownian ellipsoids. The longitudinal and transverse macroscopic dispersion coefficients are determined and their scaling with the Peclet number is studied. Three different regimes are observed: a Taylor dispersion regime at low shear rate, an intermediate active regime with increased longitudinal dispersion and decreased transverse dispersion, and a new Taylor regime with diffusivity determined by molecular diffusion coefficient. The active regime is shown to originate from the increased time taken by particles to diffuse across the channel gap, and the transition to the active regime is delayed by decreasing the channel height.
PHYSICAL REVIEW FLUIDS
(2023)
Article
Geosciences, Multidisciplinary
Marco Dentz, James W. Kirchner, Erwin Zehe, Brian Berkowitz
Summary: In this study, we investigate anomalous transport in a hydrological catchment system over a 36-year period at kilometer scales. Using spectral analysis, we examine the fluctuation scaling of long-term time series measurements of chloride, a natural passive tracer, for rainfall and runoff. The findings suggest that the scaling behavior can be described by a continuous time random walk (CTRW) based on a power-law distribution of transition times, indicating the presence of two distinct power-law regimes in the overall travel time distribution in the catchment. The CTRW framework provides a means to assess anomalous transport in catchments and its implications for water quality fluctuations.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Geosciences, Multidisciplinary
Ran Holtzman, Marco Dentz, Ramon Planet, Jordi Ortin
Summary: We develop a thermodynamic framework for quasistatic dissipative systems with multiple metastable states by utilizing the return-point memory of cyclic macroscopic trajectories. Using this framework, we analyze and quantify the energy dissipation during quasistatic fluid-fluid displacements in disordered media. Numerical computations reveal that energy dissipation in quasistatic displacements is primarily caused by abrupt changes in the fluid-fluid configuration between consecutive metastable states (Haines jumps), which depend on microstructure and gravity. Comparison with quasistatic experiments helps determine the relative importance of viscous dissipation.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Environmental Sciences
Aronne Dell'Oca, Marco Dentz
Summary: In this study, we focus on the upscaling and prediction of ensemble dispersion in two-dimensional heterogeneous porous media, specifically transverse dispersion. We investigate the stochastic dynamics of advective particles in the heterogeneous flow field and find that transverse dispersion exhibits ultraslow diffusion due to the solenoidal character of the flow field. By analyzing particle velocities and orientations through equidistant sampling along particle trajectories obtained from direct numerical simulations, we derive a stochastic model that combines correlated Gaussian noise for transverse motion and a spatial Markov model for particle speeds. We compare the model results with detailed numerical simulations in different heterogeneous porous media.
WATER RESOURCES RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Tybaud Goyetche, Maria Pool, Jesus Carrera, Marc Diego-Feliu, Laura Martinez Perez, Albert Folch, Linda Luquot
Summary: This study applies a simplified numerical methodology to analyze tidal response in a Mediterranean coastal aquifer, considering both hydraulic and mechanical effects. The results demonstrate that mechanical effects play a strong role in the aquifer's response to tides.
HYDROGEOLOGY JOURNAL
(2023)
