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

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Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 955-959)

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1760-1763

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Online since:

June 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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