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

Research output: Contribution to journalArticle

9 Citations (Scopus)
85 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 languageEnglish
Pages (from-to)389-399
Number of pages11
JournalScience of the Total Environment
Volume669
Early online date04 Mar 2019
DOIs
Publication statusPublished - 15 Jun 2019

Keywords

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

Fingerprint Dive into the research topics of 'Optimal remediation design and simulation groundwater flow coupled to contaminant transport using genetic algorithm and radial point collocation method (RPCM)'. Together they form a unique fingerprint.

Cite this