Related Experiment Video
Updated: Jun 24, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
Published on: December 9, 2012
A coupled simulation-optimization approach for groundwater remediation design under uncertainty: an application to a
1Department of Civil Engineering, Ryerson University, Toronto, ON M5B 2K3, Canada. li.he@iseis.org
Abstract:
This study provides a coupled simulation-optimization approach for optimal design of petroleum-contaminated groundwater remediation under uncertainty. Compared to the previous approaches, it has the advantages of: (1) addressing the stochasticity of the modeling parameters in simulating the flow and transport of NAPLs in groundwater, (2) providing a direct and response-rapid bridge between remediation strategies (pumping rates) and remediation performance (contaminant concentrations) through the created proxy models, (3) alleviating the computational cost in searching for optimal solutions, and (4) giving confidence levels for the obtained optimal remediation strategies. The approach is applied to a practical site in Canada for demonstrating its performance. The results show that mitigating the effects of uncertainty on optimal remediation strategies (through enhancing the confidence level) would lead to the rise of remediation cost due to the increase in the total pumping rate.
Related Concept Videos
Microbial Bioremediation of Uranium
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Microbial Bioremediation of Hydrocarbons
Bioremediation
Design Example: Design of an Irrigation Channel
Design Example: Creating a Hydraulic Model of a Dam Spillway

