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Radiation Protection Dosimetry Advance Access published online on July 20, 2004

Radiation Protection Dosimetry, doi:10.1093/rpd/nch339
Copyright © 2004 Oxford University Press.
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Received December 18, 2003
Revised March 29, 2004
Accepted May 18, 2004

SCIENTIFIC AND TECHNICAL PAPER

KALMAN FILTRATION OF RADIATION MONITORING DATA FROM ATMOSPHERIC DISPERSION OF RADIOACTIVE MATERIALS

Martin Drews 1, Bent Lauritzen 2*, Henrik Madsen 3, Jim Q. Smith 4

1 Risø National Laboratory, DK-4000 Roskilde, Denmark; Informatics and Mathematical Modelling, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
2 Risø National Laboratory, DK-4000 Roskilde, Denmark
3 Informatics and Mathematical Modelling, Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
4 Department of Statistics, University of Warwick, CV4 7AL, UK

* To whom correspondence should be addressed. E-mail: bent.lauritzen{at}risoe.dk.


   Abstract

A Kalman filter method using off-site radiation monitoring data is proposed as a tool for on-line estimation of the source term for short-range atmospheric dispersion of radioactive materials. The method is based on the Gaussian plume model, in which the plume parameters including the source term exhibit a ‘random walk’ process. The embedded parameters of the Kalman filter are determined through maximum-likelihood estimation making the filter essentially free of external parameters. The method is tested using both real and simulated radiation monitoring data. For simulated data, the method is shown to retrieve the embedded parameters employed in generating the data and to reconstruct the plume model parameters, including the source term. When tested against experimental radiation monitoring data the method is found accurately to uncover the known source term.


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M. Drews, B. Lauritzen, and H. Madsen
Analysis of a Kalman filter based method for on-line estimation of atmospheric dispersion parameters using radiation monitoring data
Radiat Prot Dosimetry, April 18, 2005; 113(1): 75 - 89.
[Abstract] [Full Text] [PDF]



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