19–22 May 2026
Europe/Paris timezone

Understanding the Effect of Solute Density on Chaotic Mixing

20 May 2026, 15:35
1h 30m
Poster Presentation (MS02) Environmental Porous Media: Water, Agriculture, and Remediation Poster

Speaker

Carla Feistner (GeoZentrum Nordbayern, Friedrich-Alexander-Universität Erlangen-Nürnberg)

Description

Engineered injection and extraction (EIE) systems can generate chaotic flow under laminar conditions in porous media and are well known to enhance the mixing between a solute and a solvent under constant density conditions, making them promising approaches for groundwater remediation. However, the impact of solute density on the mixing enhancement by chaotic advection is not fully understood. While density-driven flow alone can enhance dilution, the effect of density variations on the mixing enhancement by chaotic advection remains unclear. Using a quasi-2D numerical simulation, we reproduce a laboratory experiment where a dense plume is injected into a 1m × 0.5m × 0.012m tank filled with porous media. We monitor the plume area for four different densities, first under steady conditions and then under the chaotic quadrupole flow introduced by Mays (2012). We observe faster plume spreading for larger densities, especially considering mixing under chaotic advection. As our simulations accurately reproduce the spatial distribution and area of the plume in the physical experiments, the results validate the model’s reliability. With this framework, we investigate further how variations in solute density influence mixing enhancement through chaotic advection, thereby extending our knowledge of the applicability of EIE systems for groundwater remediation.

References Mays, David C., und Roseanna M. Neupauer. „Plume Spreading in Groundwater by Stretching and Folding“. Water Resources Research 48, Nr. 7 (2012): 2011WR011567. https://doi.org/10.1029/2011WR011567.
Country Germany
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Author

Carla Feistner (GeoZentrum Nordbayern, Friedrich-Alexander-Universität Erlangen-Nürnberg)

Co-authors

Dr Mónica Basilio Hazas (GeoZentrum Nordbayern, Friedrich-Alexander-Universität Erlangen-Nürnberg) Prof. Gabriele Chiogna (GeoZentrum Nordbayern, Friedrich-Alexander-Universität Erlangen-Nürnberg)

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