Abstract
In situ chemical oxidation using permanganate as an oxidant is a remediation technique often used to treat contaminated groundwater. In this paper, groundwater flow with a full hydraulic conductivity tensor and remediation process through in situ chemical oxidation are simulated. The numerical approach was verified with a physical sandbox experiment and analytical solution for 2D advection-diffusion with a first-order decay rate constant. The numerical results were in good agreement with the results of physical sandbox model and the analytical solution. The developed model was applied to two different studies, using multi-objective genetic algorithm to optimise remediation design. In order to reach the optimised design, three objectives considering three constraints were defined. The time to reach the desired concentration and remediation cost regarding the number of required oxidant sources in the optimised design was less than any arbitrary design.
| Original language | English |
|---|---|
| Article number | 383 |
| Number of pages | 21 |
| Journal | Water |
| Volume | 13 |
| Issue number | 3 |
| Early online date | 01 Feb 2021 |
| DOIs | |
| Publication status | Early online date - 01 Feb 2021 |
Access to Document
- Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method
Copyright 2021 the authors. This is an open access article published under a Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited.