Application of Multi-objective Optimization Techniques on Optimal Groundwater Remediation Design
Singh Th. S.
Thangjam Somchand Singh, Department of Civil Engineering, Manipur Institute of Technology, Takyelpat, Imphal (Manipur), India.
Manuscript received on 15 August 2015 | Revised Manuscript received on 25 August 2015 | Manuscript Published on 30 August 2015 | PP: 282-285 | Volume-4 Issue-6, August 2015 | Retrieval Number: F4242084615/15©BEIESP
Open Access | Editorial and Publishing Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Aquifer parameters such as hydraulic conductivity, effective porosity and hydraulic head etc. play significant roles in groundwater remediation and management systems. They generally comprise multiple often conflicting objectives. This paper proposes a multi-objective groundwater remediation and management methodology based on pump-and-treat technology to determine optimal strategies for cleaning up the affected portion of a contaminated aquifer. Two objectives are considered namely (i) minimization of remediation cost and (ii) maximization of clean water extraction rate. Multi-objective optimization code NSGA II is employed along with MODFLOW and MT3DMS to obtain a remediation cost-extraction tradeoff. The Pareto front thus obtained consists of several optimal solutions to the problem. Sensitivity analyses on some important input parameters have been carried out to account for the effects of variability of these parameters on the model result.
Keywords: Groundwater Remediation, Pump-and-Treat, Multi-Objective Optimization, Pareto Front.
Scope of the Article: Design Optimization of Structures