A systematic model-based evaluation of the influence of hydraulic conductivity, heterogeneity and domain depth on hyporheic nutrient transformation

Laube, Gerrit; Schmidt, Christian; Fleckenstein, Jan H.

doi:10.1016/j.advwatres.2021.104087

Cited by 8 publications

(3 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The localized high‐frequency turbulent exchange demonstrated here is likely to be important because of the high metabolic activity and rapid biogeochemical transformation rates near the sediment‐water interface, for example, as observed for nitrogen (Grant, Azizian, et al., 2018; Marzadri et al., 2014). The model framework presented here can be extended to assess the effects of turbulence on biogeochemical processes by including models for hyporheic metabolism (e.g., Bardini et al., 2012; Caruso et al., 2017; Laube et al., 2022). Using this approach to improve parameterization of reach‐ and basin‐scale biogeochemical models, for example, through scaling relationships based on river bed and flow conditions, provides means to account for the effects of both turbulent transport and riverbed clogging on fluvial biogeochemistry.…”

Section: Discussionmentioning

confidence: 99%

Turbulence‐Driven Clogging of Hyporheic Zones by Fine Particle Filtration

Saavedra Cifuentes,

Teitelbaum,

Arnon

et al. 2023

Geophysical Research Letters

View full text Add to dashboard Cite

Hyporheic exchange (HE), fine particle deposition and clogging are tightly coupled processes that control ecosystem services in rivers. While HE is assumed to be induced primarily by riverbed topography, surface flow turbulence also drives significant exchange. We show that turbulence‐driven HE produces large interfacial fluxes and drives long‐term feedback between HE and fine suspended particles via bed clogging. Turbulence significantly increases total HE fluxes as it rapidly delivers suspended particles into porewater over the entire interface, whereas advective pumping exchange only delivers particles into focused downwelling regions on the upstream side of bedforms. While turbulence is associated with rapid fluctuations and shallow HE, it is key on longer‐timescale outcomes, namely bed clogging. However, beyond the general effect of clogging in attenuating HE, turbulence‐driven HE will also be important for other river‐borne materials that are retained and transformed within hyporheic zones, such as nutrients and organic pollutants.

show abstract

Section: Discussionmentioning

confidence: 99%

Turbulence‐Driven Clogging of Hyporheic Zones by Fine Particle Filtration

Saavedra Cifuentes,

Teitelbaum,

Arnon

et al. 2023

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…It is expressed by the nonlinear partial differential equation. The equation is based on Darcy's law for groundwater flow conception [24][25][26][27][28].…”

Section: Methodsmentioning

confidence: 99%

“…An undulating streambed alters the currents, creating hydraulic gradients along with the soil-water interface that works as a driver of groundwater and surface water exchange [22,23]. The automated generation of streamlines in the subsurface domain, with various streambed setups and subsurface characteristics, could help to bring a better understanding of the process and behavior of the streamlines and residence time distribution under varying streambed conditions, whereas this cannot be efficiently performed in the case in the laboratory experiments [24]. Moreover, it is not possible for repeatability of results, a high number of variations, greater insight into the three-dimensional system, or understanding of individual streamlines or residence time distribution to be well executed in the lab-based experimentation.…”

Section: Introductionmentioning

confidence: 99%

Automated Particle Tracing & Sensitivity Analysis for Residence Time in a Saturated Subsurface Media

Mehedi

Yazdan

2022

Liquids

View full text Add to dashboard Cite

Residence time of water flow is an important factor in subsurface media to determine the fate of environmental toxins and the metabolic rates in the ecotone between the surface stream and groundwater. Both numerical and lab-based experimentation can be used to estimate the residence time. However, due to high variability in material composition in subsurface media, a pragmatic model set up in the laboratory to trace particles is strenuous. Nevertheless, the selection and inclusion of input parameters, execution of the simulation, and generation of results as well as post-processing of the outcomes of a simulation take a considerable amount of time. To address these challenges, an automated particle tracing method is developed where the numerical model, i.e., flow and reactive transport code, MIN3P, and MATLAB code for tracing particles in saturated porous media, is used. A rectangular model domain is set up considering a fully saturated subsurface media under steady-state conditions in MIN3P. Streamlines and residence times of the particles are computed with a variety of seeding locations covering the whole model surface. Sensitivity analysis for residence time is performed over the varying spatial discretization and computational time steps. Moreover, a comparative study of the outcomes with Paraview is undertaken to validate the automated model (R2 = 0.997). The outcome of the automated process illustrates that the computed residence times are highly dependent on the accuracy of the integration method, the value of the computational time step, ∆t, spatial discretization, stopping criterion for the integration process of streamlines, location, and amount of seed points. The automated process can be highly beneficial in obtaining insights into subsurface flow dynamics with high variability in the model setup instead of laboratory-based experimentation in a computationally efficient manner.

show abstract

Radon in Surface Water–Groundwater Interaction Studies

Sukanya

Joseph

2023

Environmental Radon

View full text Add to dashboard Cite

A systematic model-based evaluation of the influence of hydraulic conductivity, heterogeneity and domain depth on hyporheic nutrient transformation

Cited by 8 publications

References 42 publications

Turbulence‐Driven Clogging of Hyporheic Zones by Fine Particle Filtration

Turbulence‐Driven Clogging of Hyporheic Zones by Fine Particle Filtration

Automated Particle Tracing & Sensitivity Analysis for Residence Time in a Saturated Subsurface Media

Radon in Surface Water–Groundwater Interaction Studies

Contact Info

Product

Resources

About