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New methodology reduces costs of monitoring contaminated sites

e at minimal costs."

The genetic algorithm then assigns each candidate monitoring plan a "fitness" based on both cost and error, where the error is determined by the absolute difference between the best mass estimate and each candidate plan's estimate. The "fittest" plans are allowed to breed and survive into later generations, evolving into even better designs.

"Results have shown that our methodology is very effective at both reducing monitoring costs and accurately quantifying the mass of contaminant in the plume," said Minsker.

Patrick Reed presented the team's findings at the American Society of Civil Engineers meeting June 7 in Phoenix. The team's research is supported by the Illinois Water Resources Center and the U.S. Geological Survey.


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Contact: James E. Kloeppel, Physical Sciences Editor
kloeppel@uiuc.edu
217-244-1073
University of Illinois at Urbana-Champaign
2-Aug-1999


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