An Optimization Method for Remediation of "LNAPLs" from Contaminated Groundwater

Dual pump recovery has been optimized using UTCHEM 9.3, which is a comprehensive three-dimensional model simulator, along with a home made optimization package. An isothermal system is considered in which adsorption, biodegradation, chemical reaction, and surface-active agents are negligible and transport by diffusion, advection, and dispersion are the dominated transport mechanisms. Furthermore, the classic form of the binary genetic algorithm (BGA) is utilized for minimization of the objective function. By implementation of BGA algorithm the total costs of remediation is minimized by finding the most cost effective place and flow rate for remediation wells. The data related to the aquifer adjacent to Isfahan Refinery Company has been used as a case study for optimizing the remediation process using our developed code (LROPTIMIZER). The results are quite reasonably acceptable within the optimization constraints and the applied simplifying assumptions.

Keywords:

Groundwater , LNAPLs , Remediation , Optimization , Genetic Algorithm