Program Two
Wednesday, May 21, 1997

Vegetation-Based-Remediation Kansa B



S.R. Burckhard and V.R. Schaefer, Northern Great Plains Water Research Center, South Dakota State University, Brookings, SD 57007, and J.C. Tracy, Desert Research Institute, Reno, NV 89506 The number of decision variables for a typical soil or ground water remediation project can be quite large. This is especially true when phytoremediation methods are considered for use because planting of vegetation alters both the water transport and contaminant degradation processes within the soil. This results in possible trade-offs between competing objectives for a soil remediation design. The inclusion of multiple objectives, and a large number of decision variables and constraints into a systems statement can result in a very complex optimization problem.

Conventional gradient programming methods tend to be ill-posed when trying to find an optimal solution for such an optimization problem. Simulated annealing has recently been used as a more robust optimization procedure. However, simulated annealing tends to be computationally intensive due to the large number of simulations required to arrive at optimal or near optimal solutions. Here, simulated annealing is used to screen the design of a vegetative remediation system.

Key words: phytoremediation, contaminant degradation, water transport, simulated annealing, optimization

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Tuesday, May 20, 1997

Metals Kansa A

Remediation of Munitions Compounds Kansa B

Analytical Methods Kansa C/D

General Topics Kansa B

Wednesday, May 21, 1997

Metals Kansa A

Zero-Valent Metals Kansa A

Remediation Kansa A

Vegetation-based Remediation Kansa B

Partnerships & Innovative Technologies Kansa C/D

Nonaqueous Phase Liquids Kansa C/D

Thursday, May 22, 1997

Biofilms & Barriers Kansa A

Bioremediation Kansa B

Partnerships & Technology Innovations Kansa C/D

Remediation Kansa C/D


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