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...

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Main Authors: S. M. Seyedpour, I. Valizadeh, P. Kirmizakis, R. Doherty, T. Ricken
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/13/3/383
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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
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