Estimation of radionuclide release activity using an Unscented Kalman Filter

Vineet Vajpayee*, Victor Becerra, Nils Bausch, Xiange Tian, T. V. Santhosh, Gopika Vinod

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

140 Downloads (Pure)

Abstract

Estimation of radionuclide release is an important problem due to its impact on population and environment. Especially, radioactivity release, plume height, and wind velocity need to be estimated reliably to plan emergency response in case of any unforeseen situation. In this paper, a non-linear estimation technique based on Unscented Kalman Filter has been proposed to estimate radioactivity release, wind velocity, and height of release using environmental data collected from radiation monitors placed in the proximity of release point. The Gaussian plume model has been considered to model atmospheric dispersion phenomenon of radionuclide release and for the calculation of dose rates. The performance of the proposed estimation technique has been evaluated in terms of root mean squared error. The estimation algorithm is found to be performing satisfactorily.
Original languageEnglish
Title of host publicationProceedings of the 2019 6th International Conference on Instrumentation, Control, and Automation (ICA)
PublisherIEEE
Pages231-236
Number of pages6
ISBN (Electronic)978-1-7281-0916-9, 978-1-7281-0915-2
ISBN (Print)978-1-7281-0917-6
DOIs
Publication statusPublished - 28 Nov 2019
Event2019 6th International Conference on Instrumentation, Control, and Automation (ICA) - Bandung, Indonesia
Duration: 31 Jul 20192 Aug 2019

Publication series

NameIEEE ICA Proceedings Series
PublisherIEEE
ISSN (Print)2379-755X
ISSN (Electronic)2639-5045

Conference

Conference2019 6th International Conference on Instrumentation, Control, and Automation (ICA)
Country/TerritoryIndonesia
CityBandung
Period31/07/192/08/19

Keywords

  • atmospheric dispersion
  • dose rate
  • Gaussian plume model
  • radionuclide release
  • Unscented Kalman Filter
  • EP/M018709/1
  • RCUK
  • EPSRC

Fingerprint

Dive into the research topics of 'Estimation of radionuclide release activity using an Unscented Kalman Filter'. Together they form a unique fingerprint.

Cite this