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Groundwater Contamination and Transport Management S-O Application Guidance
- Overview
- Background Situation and Optimization Needs
- S-O Approach Selection
- Initial Screening Runs
- Optimization Scenarios Overview
- Solving MINLP Minimizing Residual Mass Optimization Problem Using GA-TS
- Illustrating the Effect of Minimizing Total Pumping on Maximum Concentration and Residual Mass
- Effect of Minimizing Cost on the Optimal Result
- Contrasting Minimizing Mass Remaining, Pumping, and Cost
- Solving MINLP Minimizing Residual Mass Optimization Problem Using ANN-GA
- Closure
- Bibliography
Abstract
For groundwater contamination management, this section demonstrates MINLP flow and transport optimization for a two-layer river–aquifer system using embedded simulators and heuristic optimizer (HO) (Figure 7.3), and artificial neural networks coupled with HO (similar to Figure 9.2). Goals pertain to containment and cleanup of groundwater contaminated by two different contaminant species.
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