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International Technical Meeting on Air Pollution Modelling and its Application

ITM 2016: Air Pollution Modeling and its Application XXV pp 147–150Cite as

Backtracking Radioxenon in Europe Using Ensemble Transport and Dispersion Modelling

Part of the Springer Proceedings in Complexity book series (SPCOM)

Abstract

The Comprehensive nuclear Test-Ban-Treaty bans nuclear explosions by everyone, everywhere. Radioxenon monitoring by the International Monitoring System is a key component of the verification of the Treaty. Atmospheric transport modelling can be used to determine the sources of radioxenon plumes. The Flexpart model is used to backtrack radioxenon observations in Europe to determine their source. An ensemble is used to quantify uncertainty.

Keywords

  • Atmospheric transport modelling
  • Ensemble
  • Inverse modelling
  • CTBTO
  • Radioxenon

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References

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Acknowledgements

One of the authors (P De Meutter) acknowledges funding from Engie under contract number JUR2015-28-00.

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Authors and Affiliations

  1. Belgian Nuclear Research Institute, Boeretang 200, 2400, Mol, Belgium

    Pieter De Meutter & Johan Camps

  2. Royal Meteorological Institute of Belgium, Ringlaan 3, 1180, Brussels, Belgium

    Pieter De Meutter, Andy Delcloo & Piet Termonia

  3. Department of Physics and Astronomy, Ghent University, Krijgslaan 281, 9000, Ghent, Belgium

    Pieter De Meutter & Piet Termonia

Authors
  1. Pieter De Meutter
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  2. Johan Camps
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  3. Andy Delcloo
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  4. Piet Termonia
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Corresponding author

Correspondence to Pieter De Meutter .

Editor information

Editors and Affiliations

  1. VITO NV, Mol, Belgium

    Prof. Dr. Clemens Mensink

  2. School of Physics, Division of Environment and Meteorology, University of Athens, Athens, Greece

    Prof. Dr. George Kallos

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De Meutter, P., Camps, J., Delcloo, A., Termonia, P. (2018). Backtracking Radioxenon in Europe Using Ensemble Transport and Dispersion Modelling. In: Mensink, C., Kallos, G. (eds) Air Pollution Modeling and its Application XXV. ITM 2016. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-57645-9_23

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