Optimal remediation design and simulation groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM)

S. M.  Seyedpour; P. Kirmizakis; P. Brennan; R. Doherty; T. Ricken

doi:10.1016/j.scitotenv.2019.01.409

Optimal remediation design and simulation groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM)

S. M. Seyedpour, P. Kirmizakis, P. Brennan, R. Doherty, T. Ricken

School of Natural and Built Environment

Research output: Contribution to journal › Article › peer-review

42 Citations (Scopus)

298 Downloads (Pure)

Abstract

The simulation-optimization models of groundwater and contaminant transport can be a powerful tool in the management of groundwater resources and remediation design. In this study, using Multiquadratic Radial Basis Function (MRBF) a coupled groundwater flow and reactive transport of contaminant and oxidant was developed in the framework of the Meshfree method. The parameter analysis has determined the optimum shape parameter (0.97), and the results of the model were compared with a physical sandbox model which were in good agreement. The genetic algorithm approach was used to find the optimum design of the remediation using permanganate as an oxidant. To find the optimum design we considered two objectives and two constraints. The results revealed that the breakthrough of contaminant to the downstream area of interest and the concentration of the contaminant in this area is reduced significantly with optimisation.

Original language	English
Pages (from-to)	389-399
Number of pages	11
Journal	Science of the Total Environment
Volume	669
Early online date	04 Mar 2019
DOIs	https://doi.org/10.1016/j.scitotenv.2019.01.409 https://doi.org/10.1016/j.scitotenv.2019.01.409
Publication status	Published - 15 Jun 2019

Keywords

Genetic algorithm
Groundwater flow
Point collocation method
Radial basis function
Reactive contaminant transport

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10.1016/j.scitotenv.2019.01.409

Optimal remediation design and simulation groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM)
Copyright 2019 Elsevier. This manuscript is distributed under a Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Accepted author manuscript, 3.5 MBLicence: CC BY-NC-ND

Cite this

Seyedpour, S. M., Kirmizakis, P., Brennan, P., Doherty, R., & Ricken, T. (2019). Optimal remediation design and simulation groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM). Science of the Total Environment, 669, 389-399. https://doi.org/10.1016/j.scitotenv.2019.01.409, https://doi.org/10.1016/j.scitotenv.2019.01.409

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abstract = "The simulation-optimization models of groundwater and contaminant transport can be a powerful tool in the management of groundwater resources and remediation design. In this study, using Multiquadratic Radial Basis Function (MRBF) a coupled groundwater flow and reactive transport of contaminant and oxidant was developed in the framework of the Meshfree method. The parameter analysis has determined the optimum shape parameter (0.97), and the results of the model were compared with a physical sandbox model which were in good agreement. The genetic algorithm approach was used to find the optimum design of the remediation using permanganate as an oxidant. To find the optimum design we considered two objectives and two constraints. The results revealed that the breakthrough of contaminant to the downstream area of interest and the concentration of the contaminant in this area is reduced significantly with optimisation.",

keywords = "Genetic algorithm, Groundwater flow, Point collocation method, Radial basis function, Reactive contaminant transport",

author = "Seyedpour, {S. M.} and P. Kirmizakis and P. Brennan and R. Doherty and T. Ricken",

year = "2019",

month = jun,

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doi = "10.1016/j.scitotenv.2019.01.409",

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Seyedpour, SM, Kirmizakis, P, Brennan, P, Doherty, R & Ricken, T 2019, 'Optimal remediation design and simulation groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM)', Science of the Total Environment, vol. 669, pp. 389-399. https://doi.org/10.1016/j.scitotenv.2019.01.409, https://doi.org/10.1016/j.scitotenv.2019.01.409

TY - JOUR

T1 - Optimal remediation design and simulation groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM)

AU - Seyedpour, S. M.

AU - Kirmizakis, P.

AU - Brennan, P.

AU - Doherty, R.

AU - Ricken, T.

PY - 2019/6/15

Y1 - 2019/6/15

N2 - The simulation-optimization models of groundwater and contaminant transport can be a powerful tool in the management of groundwater resources and remediation design. In this study, using Multiquadratic Radial Basis Function (MRBF) a coupled groundwater flow and reactive transport of contaminant and oxidant was developed in the framework of the Meshfree method. The parameter analysis has determined the optimum shape parameter (0.97), and the results of the model were compared with a physical sandbox model which were in good agreement. The genetic algorithm approach was used to find the optimum design of the remediation using permanganate as an oxidant. To find the optimum design we considered two objectives and two constraints. The results revealed that the breakthrough of contaminant to the downstream area of interest and the concentration of the contaminant in this area is reduced significantly with optimisation.

AB - The simulation-optimization models of groundwater and contaminant transport can be a powerful tool in the management of groundwater resources and remediation design. In this study, using Multiquadratic Radial Basis Function (MRBF) a coupled groundwater flow and reactive transport of contaminant and oxidant was developed in the framework of the Meshfree method. The parameter analysis has determined the optimum shape parameter (0.97), and the results of the model were compared with a physical sandbox model which were in good agreement. The genetic algorithm approach was used to find the optimum design of the remediation using permanganate as an oxidant. To find the optimum design we considered two objectives and two constraints. The results revealed that the breakthrough of contaminant to the downstream area of interest and the concentration of the contaminant in this area is reduced significantly with optimisation.

KW - Genetic algorithm

KW - Groundwater flow

KW - Point collocation method

KW - Radial basis function

KW - Reactive contaminant transport

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U2 - 10.1016/j.scitotenv.2019.01.409

DO - 10.1016/j.scitotenv.2019.01.409

M3 - Article

SN - 0048-9697

VL - 669

SP - 389

EP - 399

JO - Science of the Total Environment

JF - Science of the Total Environment

ER -

Optimal remediation design and simulation groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM)

Abstract

Keywords

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Biogeophysical approaches to monitoring contaminated and restored sites

Cite this

Optimal remediation design and simulation groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM)

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Student theses

Biogeophysical approaches to monitoring contaminated and restored sites

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