Subsurface Radioactive Contaminant Transport Modeling Using Particle and Kalman Filter Schemes
Publication: Journal of Environmental Engineering
Volume 137, Issue 4
Abstract
Contamination of groundwater by radioactive contaminants can be harmful to the environment. Various prediction models have been adopted to simulate the state of contaminants in the subsurface. Conventional numerical models are simplified by approximation and the model parameters are assumed to be constant, thereby introducing error to the prediction results. Particle and Kalman filters are used in this research to simulate the radioactive contaminant cobalt-57 transport in a subsurface environment by using a two-dimensional advection-dispersion model. A radioactive contaminant concentration was predicted spatially and temporally within boundary conditions. The errors in the prediction results were assessed by using the root-mean-square-error (RMSE) equation. The results show that the Kalman filter performs better than the particle filter when the prediction model is linear. Furthermore, the results from filters are closer to the true value in comparison with the numerical solution, and the filters are capable of reducing the RMSE of the numerical solution by approximately 80%.
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Acknowledgments
This work was sponsored by the Dept. of Energy Samuel Massie Chair of Excellence Program under Grant No. UNSPECIFIEDDF-FG01-94EW11425. The views and conclusions contained herein are those of the writers and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the funding agency.
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Information
Published In
Journal of Environmental Engineering
Volume 137 • Issue 4 • April 2011
Pages: 221 - 229
Copyright
© 2011 American Society of Civil Engineers.
History
Received: Jun 30, 2009
Accepted: Aug 20, 2010
Published online: Aug 23, 2010
Published in print: Apr 1, 2011
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