Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method
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 appro...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-02-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/13/3/383 |
id |
doaj-eae3605af3544146a51dcfa9cbed78b0 |
---|---|
record_format |
Article |
spelling |
doaj-eae3605af3544146a51dcfa9cbed78b02021-02-02T00:06:30ZengMDPI AGWater2073-44412021-02-011338338310.3390/w13030383Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference MethodS. M. Seyedpour0I. Valizadeh1P. Kirmizakis2R. Doherty3T. Ricken4Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, 70569 Stuttgart, GermanyCyber-Physical Simulation Group, Department of Mechanical Engineering, Technical University of Darmstadt, Dolivostraße 15, 64293 Darmstadt, GermanyDepartment of Geosciences, College of Petroleum Engineering and Geosciences, King Fahd University of Petroleum and Minerals, Dhahran 31261, Saudi ArabiaSchool of Natural and Built Environment, Queen’s University Belfast, Belfast BT9 5AG, UKInstitute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, 70569 Stuttgart, GermanyIn 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.https://www.mdpi.com/2073-4441/13/3/383groundwater flowreactive contaminant transportin situ chemical oxidationfinite difference methodgenetic algorithmphysical sandbox experiment |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
S. M. Seyedpour I. Valizadeh P. Kirmizakis R. Doherty T. Ricken |
spellingShingle |
S. M. Seyedpour I. Valizadeh P. Kirmizakis R. Doherty T. Ricken Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method Water groundwater flow reactive contaminant transport in situ chemical oxidation finite difference method genetic algorithm physical sandbox experiment |
author_facet |
S. M. Seyedpour I. Valizadeh P. Kirmizakis R. Doherty T. Ricken |
author_sort |
S. M. Seyedpour |
title |
Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method |
title_short |
Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method |
title_full |
Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method |
title_fullStr |
Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method |
title_full_unstemmed |
Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method |
title_sort |
optimization of the groundwater remediation process using a coupled genetic algorithm-finite difference method |
publisher |
MDPI AG |
series |
Water |
issn |
2073-4441 |
publishDate |
2021-02-01 |
description |
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. |
topic |
groundwater flow reactive contaminant transport in situ chemical oxidation finite difference method genetic algorithm physical sandbox experiment |
url |
https://www.mdpi.com/2073-4441/13/3/383 |
work_keys_str_mv |
AT smseyedpour optimizationofthegroundwaterremediationprocessusingacoupledgeneticalgorithmfinitedifferencemethod AT ivalizadeh optimizationofthegroundwaterremediationprocessusingacoupledgeneticalgorithmfinitedifferencemethod AT pkirmizakis optimizationofthegroundwaterremediationprocessusingacoupledgeneticalgorithmfinitedifferencemethod AT rdoherty optimizationofthegroundwaterremediationprocessusingacoupledgeneticalgorithmfinitedifferencemethod AT tricken optimizationofthegroundwaterremediationprocessusingacoupledgeneticalgorithmfinitedifferencemethod |
_version_ |
1724314547747028992 |