A Risk-Assessment Optimal Model for Groundwater Optimization with Chance-Constrained Programming

This study presents an optimal groundwater remediation model of a pump-and-treat system to research best remediation strategies to support decision-makings in groundwater management. Cancarigenic risk assessment is integrated into the optimal groundwater remediation framework. Chance-constrained programming is introduced to improve reliability of risk assessment part. The model is successfully applied to a petroleum-contaminated site in real engineering. Optimization remediation strategies can be obtained to assist decision maker in groundwater remediation management.