Title: A multi-objective optimization framework for surfactant-enhanced remediation of DNAPL contaminations
Authors: Schaerlaekens, Jan ×
Mertens, Jan
Van Linden, Jan
Vermeiren, Gert
Carmeliet, Jan
Feyen, Jan #
Issue Date: Jan-2006
Publisher: Elsevier science bv
Series Title: Journal of contaminant hydrology vol:86 issue:3-4 pages:176-194
Abstract: The occurrence of Dense Non-Aqueous Phase Liquid (DNAPL) contaminations in the subsurface is a threat for drinkwater resources in the western world. Surfactant-Enhanced Aquifer Remediation (SEAR) is widely considered as one of the most promising techniques to remediate DNAPL contaminations in-situ, be it with considerable additional costs compared to classical pump-and-treat remediations. A cost-effective design of the remediation set-up is therefore essential. In this work, a pilot SEAR test is executed at a DNAPL contaminated site in Belgium in order to collect data for the calibration of a multi-phase multicomponent model. The calibrated model is used to assess a series of scenario-analyses for the full-scale remediation of the site. The remediation variables that were varied were the injection and extraction rate, the injection and extraction duration, and the surfactant injection concentrations. A constrained multi-objective optimization of the model was applied to obtain a Pareto set of optimal remediation strategies with different weights for the two objectives of the remediation: (i) the maximal removal of DNAPL and (ii) a total minimal cost. These Pareto curves can help decision makers to select an optimal remediation strategy in terms of cost and remediation efficiency. The Pareto front shows a considerable trade-off between the total remediation cost and the removed DNAPL mass. (c) 2006 Elsevier B.V All rights reserved.
ISSN: 0169-7722
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Division Soil and Water Management
Building Physics Section
× corresponding author
# (joint) last author

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