2016
DOI: 10.1002/2016jd024872
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Characterization of Xe‐133 global atmospheric background: Implications for the International Monitoring System of the Comprehensive Nuclear‐Test‐Ban Treaty

Abstract: Monitoring atmospheric concentrations of radioxenons is relevant to provide evidence of atmospheric or underground nuclear weapon tests. However, when the design of the International Monitoring Network (IMS) of the Comprehensive Nuclear‐Test‐Ban Treaty (CTBT) was set up, the impact of industrial releases was not perceived. It is now well known that industrial radioxenon signature can interfere with that of nuclear tests. Therefore, there is a crucial need to characterize atmospheric distributions of radioxenon… Show more

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Cited by 55 publications
(23 citation statements)
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“…Annual average activity concentrations of Xe‐133 calculated from 2 years of simulated data, at ground level (in the layer 0–100 m AGL), from Achim et al (). Location of the main facilities releasing radioxenon in the atmosphere considered in this study: yellow circles for medical isotope production facilities (MIPs); white circles for nuclear power plants (NPPs).…”
Section: Methodsmentioning
confidence: 99%
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“…Annual average activity concentrations of Xe‐133 calculated from 2 years of simulated data, at ground level (in the layer 0–100 m AGL), from Achim et al (). Location of the main facilities releasing radioxenon in the atmosphere considered in this study: yellow circles for medical isotope production facilities (MIPs); white circles for nuclear power plants (NPPs).…”
Section: Methodsmentioning
confidence: 99%
“…However, in the case of the Xe‐133 industrial background, global emission evolutions are not known to be modeled on such long periods of time. Therefore, seasonal trends were studied based on 2 years of simulations (2013–2014) as the major sources are known over this period of time (Achim et al, ). The number of detections per month at many IMS stations is, however, too small to have significant monthly estimates.…”
Section: Methodsmentioning
confidence: 99%
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