Estimation of radionuclide release activity using an Unscented Kalman Filter

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

doi:10.1109/ICA.2019.8916744

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

Bhabha Atomic Research Centre

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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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 language	English
Title of host publication	Proceedings of the 2019 6th International Conference on Instrumentation, Control, and Automation (ICA)
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	231-236
Number of pages	6
ISBN (Electronic)	978-1-7281-0916-9, 978-1-7281-0915-2
ISBN (Print)	978-1-7281-0917-6
DOIs	https://doi.org/10.1109/ICA.2019.8916744
Publication status	Published - 28 Nov 2019
Event	2019 6th International Conference on Instrumentation, Control, and Automation (ICA) - Bandung, Indonesia Duration: 31 Jul 2019 → 2 Aug 2019

Publication series

Name	IEEE ICA Proceedings Series
Publisher	IEEE
ISSN (Print)	2379-755X
ISSN (Electronic)	2639-5045

Conference

Conference	2019 6th International Conference on Instrumentation, Control, and Automation (ICA)
Country/Territory	Indonesia
City	Bandung
Period	31/07/19 → 2/08/19

Keywords

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

Access to Document

10.1109/ICA.2019.8916744

VV_ICA_2019
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Accepted author manuscript (Post-print), 552 KB

Smart Online Monitoring for Nuclear Power Plants (SMART)
Becerra, V. & Bausch, N.
Engineering and Physical Sciences Research Council
23/06/15 → 22/05/18
Project: Research

Cite this

Vajpayee, V., Becerra, V., Bausch, N., Tian, X., Santhosh, T. V., & Vinod, G. (2019). Estimation of radionuclide release activity using an Unscented Kalman Filter. In Proceedings of the 2019 6th International Conference on Instrumentation, Control, and Automation (ICA) (pp. 231-236). (IEEE ICA Proceedings Series). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICA.2019.8916744

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title = "Estimation of radionuclide release activity using an Unscented Kalman Filter",

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.",

keywords = "atmospheric dispersion, dose rate, Gaussian plume model, radionuclide release, Unscented Kalman Filter, EP/M018709/1, RCUK, EPSRC",

author = "Vineet Vajpayee and Victor Becerra and Nils Bausch and Xiange Tian and Santhosh, {T. V.} and Gopika Vinod",

year = "2019",

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day = "28",

doi = "10.1109/ICA.2019.8916744",

language = "English",

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booktitle = "Proceedings of the 2019 6th International Conference on Instrumentation, Control, and Automation (ICA)",

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Vajpayee, V, Becerra, V, Bausch, N, Tian, X, Santhosh, TV & Vinod, G 2019, Estimation of radionuclide release activity using an Unscented Kalman Filter. in Proceedings of the 2019 6th International Conference on Instrumentation, Control, and Automation (ICA). IEEE ICA Proceedings Series, Institute of Electrical and Electronics Engineers Inc., pp. 231-236, 2019 6th International Conference on Instrumentation, Control, and Automation (ICA), Bandung, Indonesia, 31/07/19. https://doi.org/10.1109/ICA.2019.8916744

Estimation of radionuclide release activity using an Unscented Kalman Filter. / Vajpayee, Vineet; Becerra, Victor; Bausch, Nils et al.
Proceedings of the 2019 6th International Conference on Instrumentation, Control, and Automation (ICA). Institute of Electrical and Electronics Engineers Inc., 2019. p. 231-236 (IEEE ICA Proceedings Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Estimation of radionuclide release activity using an Unscented Kalman Filter

AU - Vajpayee, Vineet

AU - Becerra, Victor

AU - Bausch, Nils

AU - Tian, Xiange

AU - Santhosh, T. V.

AU - Vinod, Gopika

PY - 2019/11/28

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N2 - 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.

AB - 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.

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Vajpayee V, Becerra V, Bausch N, Tian X, Santhosh TV, Vinod G. Estimation of radionuclide release activity using an Unscented Kalman Filter. In Proceedings of the 2019 6th International Conference on Instrumentation, Control, and Automation (ICA). Institute of Electrical and Electronics Engineers Inc. 2019. p. 231-236. (IEEE ICA Proceedings Series). doi: 10.1109/ICA.2019.8916744

Estimation of radionuclide release activity using an Unscented Kalman Filter

Abstract

Publication series

Conference

Keywords

Access to Document

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Projects

Smart Online Monitoring for Nuclear Power Plants (SMART)

Cite this