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Source localization of ruthenium-106 detections in autumn 2017 using inverse modelling

Pieter De Meutter, Johan Camps, Andy Delcloo (UGent) and Piet Termonia (UGent)
(2020) ITM 2018: Air Pollution Modeling and its Application XXVI. In Springer Proceedings in Complexity p.89-92
Author
Organization
Abstract
In late September and October 2017, Ru-103 and Ru-106 have been detected throughout the northern hemisphere by national environmental radioactivity monitoring networks and by the International Monitoring System that is being established to verify compliance with the Comprehensive Nuclear-Test-Ban Treaty. Ru-103 (half-life: 39.26 d) and Ru-106 (half-life: 373.6 d) are radioactive particulates that have no natural sources and for which there is no measurable global background.
Keywords
Atmospheric transport modelling, Uncertainty quantification, Inverse modelling, CTBT, Ruthenium

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MLA
De Meutter, Pieter, et al. “Source Localization of Ruthenium-106 Detections in Autumn 2017 Using Inverse Modelling.” ITM 2018: Air Pollution Modeling and Its Application XXVI, edited by Clemens Mensink et al., Springer, 2020, pp. 89–92, doi:10.1007/978-3-030-22055-6_15.
APA
De Meutter, P., Camps, J., Delcloo, A., & Termonia, P. (2020). Source localization of ruthenium-106 detections in autumn 2017 using inverse modelling. In C. Mensink, W. Gong, & A. Hakami (Eds.), ITM 2018: Air Pollution Modeling and its Application XXVI (pp. 89–92). https://doi.org/10.1007/978-3-030-22055-6_15
Chicago author-date
De Meutter, Pieter, Johan Camps, Andy Delcloo, and Piet Termonia. 2020. “Source Localization of Ruthenium-106 Detections in Autumn 2017 Using Inverse Modelling.” In ITM 2018: Air Pollution Modeling and Its Application XXVI, edited by Clemens Mensink, Wanmin Gong, and Amir Hakami, 89–92. Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-22055-6_15.
Chicago author-date (all authors)
De Meutter, Pieter, Johan Camps, Andy Delcloo, and Piet Termonia. 2020. “Source Localization of Ruthenium-106 Detections in Autumn 2017 Using Inverse Modelling.” In ITM 2018: Air Pollution Modeling and Its Application XXVI, ed by. Clemens Mensink, Wanmin Gong, and Amir Hakami, 89–92. Cham, Switzerland: Springer. doi:10.1007/978-3-030-22055-6_15.
Vancouver
1.
De Meutter P, Camps J, Delcloo A, Termonia P. Source localization of ruthenium-106 detections in autumn 2017 using inverse modelling. In: Mensink C, Gong W, Hakami A, editors. ITM 2018: Air Pollution Modeling and its Application XXVI. Cham, Switzerland: Springer; 2020. p. 89–92.
IEEE
[1]
P. De Meutter, J. Camps, A. Delcloo, and P. Termonia, “Source localization of ruthenium-106 detections in autumn 2017 using inverse modelling,” in ITM 2018: Air Pollution Modeling and its Application XXVI, Ottawa, ON, Canada, 2020, pp. 89–92.
@inproceedings{8746487,
  abstract     = {{In late September and October 2017, Ru-103 and Ru-106 have been detected throughout the northern hemisphere by national environmental radioactivity monitoring networks and by the International Monitoring System that is being established to verify compliance with the Comprehensive Nuclear-Test-Ban Treaty. Ru-103 (half-life: 39.26 d) and Ru-106 (half-life: 373.6 d) are radioactive particulates that have no natural sources and for which there is no measurable global background.}},
  author       = {{De Meutter, Pieter and Camps, Johan and Delcloo, Andy and Termonia, Piet}},
  booktitle    = {{ITM 2018: Air Pollution Modeling and its Application XXVI}},
  editor       = {{Mensink, Clemens and Gong, Wanmin and Hakami, Amir}},
  isbn         = {{9783030220549}},
  issn         = {{2213-8684}},
  keywords     = {{Atmospheric transport modelling,Uncertainty quantification,Inverse modelling,CTBT,Ruthenium}},
  language     = {{eng}},
  location     = {{Ottawa, ON, Canada}},
  pages        = {{89--92}},
  publisher    = {{Springer}},
  title        = {{Source localization of ruthenium-106 detections in autumn 2017 using inverse modelling}},
  url          = {{http://doi.org/10.1007/978-3-030-22055-6_15}},
  year         = {{2020}},
}
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