Enhancing Remediation of LNAPL Recovery through a Response-Surface-Based Optimization Approach
Publication: Journal of Environmental Engineering
Volume 135, Issue 10
Abstract
Cost-efficient design for remediation of light nonaqueous phase liquids (LNAPL) from subsurface has become an essential task for site managers in North America. Although many related studies were conducted, there was still lack of efficient and computationally attractive method in such an area. In this study, a response-surface-based optimization approach was developed for enhancing remediation of LNAPL recovery. A two-dimensional numerical model was provided to simulate LNAPL transport during remediation. A dual response regression model was proposed for establishing a linkage between remediation actions and system responses. A nonlinear VFPR management model was then established for generating desired operating conditions. A petroleum-contaminated site in western Canada was used to demonstrate the applicability of the proposed method. The results demonstrated that the DRS model could be used as an effective proxy for simulation models and the optimal solutions from management model led to better cost-effectiveness compared with those from nonoptimized ones. The proposed optimization method was computationally attractive and required simple mathematical manipulations. It was of great practical values for supporting site remediation actions.
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Acknowledgments
This research was supported by the Major State Basic Research Development Program of MOST (Grant Nos. UNSPECIFIED2005CB724200 and UNSPECIFIED2006CB403307), the Canadian Water Network under the Networks of Centers of Excellence (NCE), and the Natural Science and Engineering Research Council of Canada. The writers deeply appreciate the editor and the anonymous reviewers for their insightful comments and suggestions.
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Information & Authors
Information
Published In
Journal of Environmental Engineering
Volume 135 • Issue 10 • October 2009
Pages: 999 - 1008
Copyright
© 2009 ASCE.
History
Received: Nov 2, 2008
Accepted: Feb 13, 2009
Published online: Sep 15, 2009
Published in print: Oct 2009
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