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Transport Optimization – Example Applications

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.

Browse through case studies and applications of transport optimization techniques by method:

Gradient Methods
Simulated Annealing
Artificial Neural Network

	Gradient Methods
	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.
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	Simulated Annealing
	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
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	Artificial Neural Network 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
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Transport Optimization – Example Applications

ESTCP Transport Optimization Demonstration Project

Gradient Methods

Simulated Annealing

Artificial Neural Network