scholarly journals Laboratory Evaluation of In Situ Chemical Oxidation for Groundwater Remediation, Test Area North, Operable Unit 1-07B, Idaho National Engineering and Environmental Laboratory, Volume Two, Appendices C, D, and E

10.2172/8071 ◽  
1999 ◽  
Author(s):  
S.R. Cline ◽  
D.L. Denton ◽  
J.M. Giaquinto ◽  
M.K. McCracken ◽  
R.C. Starr
Keyword(s):  
Groundwater Remediation ◽  
Chemical Oxidation ◽  
Test Area ◽  
Laboratory Evaluation ◽  
In Situ Chemical Oxidation ◽  
Environmental Laboratory ◽  
Area North

Development of technical guidelines for the application of in-situ chemical oxidation to groundwater remediation

2014 ◽  
Vol 77 ◽  
pp. 47-55 ◽  
Author(s):  
Renato Baciocchi ◽  
Laura D'Aprile ◽  
Ivan Innocenti ◽  
Felicia Massetti ◽  
Iason Verginelli
Keyword(s):  
Groundwater Remediation ◽  
Chemical Oxidation ◽  
In Situ Chemical Oxidation

scholarly journals Optimization of the Groundwater Remediation Process Using a Coupled Genetic Algorithm-Finite Difference Method

Water ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 383
Author(s):  
S. M. Seyedpour ◽  
I. Valizadeh ◽  
P. Kirmizakis ◽  
R. Doherty ◽  
T. Ricken
Keyword(s):  
Genetic Algorithm ◽  
Analytical Solution ◽  
Groundwater Remediation ◽  
Numerical Approach ◽  
Chemical Oxidation ◽  
Decay Rate Constant ◽  
In Situ Chemical Oxidation ◽  
Multi Objective Genetic Algorithm ◽  
Remediation Process

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.

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