Effect of Sorption Assumptions on Aquifer Remediation Designs

• DOI: 10.1111/j.1745-6584.2000.tb00331.x
• Publication Date: 2005-08-04T19:41:41Z
• Authors: Aysegul Aksoy; Teresa B. Culver
• Keywords: Groundwater Remediation

Abstract Genetic algorithm optimization of pump‐and‐treat ground water remediation is used to explore the extent bias introduced into designs and costs by sorption assumptions. Remediation problems with equilibrium two‐site kinetic different mass transfer rates are addressed. Under time‐scales flow conditions contamination, all these assumptions created similar initial plumes. Thus, calibration parameters plume may be insufficient information differentiate between rates. Two formulations were considered for each assumption. In one formulation, final quality goal respect aqueous concentration; in other, total concentration (aqueous sorbed). While could found contaminant remaining within aquifer increases decreasing rates, creating potential rebound after pumping period ends. The formulation avoid this difficulty, although it not always possible find feasible schemes specified period. If an optimal design based on assumption applied limitations, goals met length time required meet suboptimal increase exponentially as rate decreases, heterogeneity reduces scale effect.