| Issue |
EPJ Web Conf.
Volume 369, 2026
4th International Conference on Artificial Intelligence and Applied Mathematics (JIAMA’26)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 10 | |
| Section | Applied Physics & Engineering Systems Modeling | |
| DOI | https://doi.org/10.1051/epjconf/202636901003 | |
| Published online | 13 May 2026 | |
https://doi.org/10.1051/epjconf/202636901003
A multi-scale numerical framework for the simulation of reactive solute transport in highly non-stationary porous media
Laboratory of Applied Sciences, ENSAH Al Hoceima, Abdelmalek Essaâdi University, Morocco
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 13 May 2026
Abstract
This work introduces a new multi-scale method that reduces numerical issues in reactive solute transport computations in highly nonstationary heterogeneous geological media. The new method is based on scale-decomposition to express reaction-advection terms as well-posed problems, in contrast to conventional simulation approaches which become problematic when mass exchange at different scales is considered. By using a stochastic model of small-scale heterogeneity, the model can represent tailing phenomena (which are normally ignored by stationary models) more accurately. A numerical simulation of nonlinear reactive solute transport in complex, highly heterogeneous permeability fields demonstrates that this new multi-scale method can reduce mass balance errors by 14.7% and speed up convergence by 22.8% over conventional multi-scale methods. Based on these results support the effectiveness for using these methods as a better tool in environmental risk assessments of heterogeneous aquifers over a long time, along with enhanced capability of tracking dynamic plume evolution.
Key words: Reactive transport / Porous media / Multi-scale modeling / Non-stationarity / Numerical simulation
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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