Literature DB >> 29702454

Method for source localization proposed and applied to the October 2017 case of atmospheric dispersion of Ru-106.

Jens Havskov Sørensen1.   

Abstract

An efficient numerical method for the temporal and spatial localization of an unknown point source of an atmospheric tracer is proposed. The method, which is based on inverse modelling techniques, employs available data from a network of ground-level stations on the condition that the measurements represent the plume geographically and temporally. The method, which employs a level-of-agreement approach, is applied to the October 2017 air concentration measurements of Ru-106 in Europe.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Atmospheric tracer; Inverse modelling; Monitoring network; Source localization

Mesh：

Substances：

Year:  2018        PMID： 29702454     DOI： 10.1016/j.jenvrad.2018.03.010

Source DB:  PubMed          Journal:  J Environ Radioact        ISSN： 0265-931X            Impact factor:   2.674


  3 in total

1.  Evaluation of Hungarian monitoring results and source localization of the 106Ru release in the fall of 2017.

Authors:  Dorottya Jakab; Tünde Ádámné Sió; Gáborné Endrődi; Zsolt Homoki; Sándor Kapitány; András Kocsonya; Júlia Kövendiné Kónyi; András Lencsés; László Manga; Annamária Pántya; Tamás Pázmándi; Krisztián Radó; Péter Rell; Péter Turza; Péter Zagyvai
Journal:  Environ Monit Assess       Date:  2019-06-12       Impact factor: 2.513

2.  Atmospheric modeling and source reconstruction of radioactive ruthenium from an undeclared major release in 2017.

Authors:  O Saunier; D Didier; A Mathieu; O Masson; J Dumont Le Brazidec
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-25       Impact factor: 11.205

3.  Identification of a chemical fingerprint linking the undeclared 2017 release of 106Ru to advanced nuclear fuel reprocessing.

Authors:  Michael W Cooke; Adrian Botti; Dorian Zok; Georg Steinhauser; Kurt R Ungar
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-15       Impact factor: 11.205
  3 in total

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