Transport Optimization – Example Applications
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- ESTCP Transport
Optimization Demonstration Project
EPA, September 2003.
The primary objective of the overall project is to demonstrate the cost benefit of applying transport optimization codes, which couple sophisticated optimization techniques (nonlinear programming) with simulations of groundwater solute transport. This study will also attempt to evaluate if there is any additional cost benefit from the application of transport optimization codes when compared to simpler techniques. -
- Design
of Optimal, Reliable Plume Capture Schemes: Application to The Gloucester
Landfill Ground-Water Contamination Problem
Gailey, R.M. and S.M. Gorelick, 1993, Ground Water, 31(1), pp. 107-114 - Optimal Time-Varying
Pumping Rates for Groundwater Remediation: Application of A Constrained
Optimal Control Algorithm
Chang, L-C., C.A. Shoemaker, and P. L-F. Liu, 1992, Water Resources Research, 28(12), pp. 3157-3173.
- Design
of Optimal, Reliable Plume Capture Schemes: Application to The Gloucester
Landfill Ground-Water Contamination Problem
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- Optimal
Groundwater Management, 2. Application of Simulated Annealing
Marryott, R.A., D.E. Dougherty,
David.Dougherty@subterra.com, and R.L. Stollar, 1993, Water Resources Research, 29(4), pp. 847-860 - The
Design of SVE Remediation Systems Using Simulated Annealing
Sacks, R.L., D.E. Dougherty, David.Dougherty@subterra.com , and J.F. Guarnaccia, 1994 Groundwater Modeling Conference, Fort Collins, CO, August 10-12, 1994
- Optimal
Groundwater Management, 2. Application of Simulated Annealing
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- Determining
Optimal Pumping Policies for a Public Supply Wellfield Using A Computational
Neural Network With Linear Programming
Coppola, E.A., emery@hwr.arizona.edu, F. Szidarovszky, and M. Poulton, AGU Spring Meeting 2000
- Determining
Optimal Pumping Policies for a Public Supply Wellfield Using A Computational
Neural Network With Linear Programming
Browse through case studies and applications of transport optimization techniques by method: