Third international challenge to model the medium- to long-range transport of radioxenon to four Comprehensive Nuclear-Test-Ban Treaty monitoring stations.

In 2015 and 2016, atmospheric transport modeling challenges were conducted in the context of the Comprehensive Nuclear-Test-Ban Treaty (CTBT) verification, however, with a more limited scope with respect to emission inventories, simulation period and number of relevant samples (i.e., those above the Minimum Detectable Concentration (MDC)) involved. Therefore, a more comprehensive atmospheric transport modeling challenge was organized in 2019. Stack release data of Xe-133 were provided by the Institut National des Radioéléments/IRE (Belgium) and the Canadian Nuclear Laboratories/CNL (Canada) and accounted for in the simulations over a three (mandatory) or six (optional) months period. Best estimate emissions of additional facilities (radiopharmaceutical production and nuclear research facilities, commercial reactors or relevant research reactors) of the Northern Hemisphere were included as well. Model results were compared with observed atmospheric activity concentrations at four International Monitoring System (IMS) stations located in Europe and North America with overall considerable influence of IRE and/or CNL emissions for evaluation of the participants' runs. Participants were prompted to work with controlled and harmonized model set-ups to make runs more comparable, but also to increase diversity. It was found that using the stack emissions of IRE and CNL with daily resolution does not lead to better results than disaggregating annual emissions of these two facilities taken from the literature if an overall score for all stations covering all valid observed samples is considered. A moderate benefit of roughly 10% is visible in statistical scores for samples influenced by IRE and/or CNL to at least 50% and there can be considerable benefit for individual samples. Effects of transport errors, not properly characterized remaining emitters and long IMS sampling times (12-24 h) undoubtedly are in contrast to and reduce the benefit of high-quality IRE and CNL stack data. Complementary best estimates for remaining emitters push the scores up by 18% compared to just considering IRE and CNL emissions alone. Despite the efforts undertaken the full multi-model ensemble built is highly redundant. An ensemble based on a few arbitrary runs is sufficient to model the Xe-133 background at the stations investigated. The effective ensemble size is below five. An optimized ensemble at each station has on average slightly higher skill compared to the full ensemble. However, the improvement (maximum of 20% and minimum of 3% in RMSE) in skill is likely being too small for being exploited for an independent period.

Atmospheric transport of 131I and 137Cs from Fukushima by the East Asian northeast monsoon.

The Lagrangian particle dispersion model FLEXPART was used to simulate atmospheric dispersion of radionuclides from the Fukushima nuclear power plant (FNPP) towards the Tropical Western Pacific (TWP) and Southeast Asia (SEA). The simulation model distinguished between hemispherical transport via the jet stream and regional transport within the marine boundary layer by the East Asian northeast monsoon. This regional transport was driven by anticyclonic circulation over southern Japan and the western Pacific resulting from a recurrent eastward extension of the Siberian High to the Pacific Ocean. Activity concentrations of 131I and 137Cs measured at ten monitoring stations in TWP and SEA were used to validate the particle dispersion model. Good agreement between the FLEXPART model and observations yields confidence regarding its application to assess radiation impacts and support emergency planning in response to a possible future nuclear accident in the region.

Molecular characterization of Calocedrus rupestris Aver., H.T. Nguyen & L.K. Phan, 2008 (Cupressaceae) based on ITS1 partial sequence.

Calocedrus rupestris Aver., H.T. Nguyen & L.K. Phan was described in 2008 based on some morphological characters that were not sufficiently significant to discriminate it as a species distinct from C. macrolepis Kurz. We applied a new approach to resolve these conflicting views by using sequence data from DNA (ITS) to elucidate phylogenetic relationships between the two species. Analyses of a partial ITS1 sequence in 5 individuals of 2 subpopulations of C. macrolepis and 18 individuals of 8 subpopulations of C. rupestris collected in Vietnam were done. Molecular characterization of the two species showed its low divergence with the lack of autapomorphic characters. In addition, the ITS1 partial sequences of some C. rupestris individuals were identical with C. macrolepis. Due to the less distinctive morphology between C. rupestris and C. macrolepis, the divergence between them does not exceed the interspecific levels, and therefore, C. rupestris could not be regarded as an independent species in relation to C. macrolepis but only as one of its varieties, C. macrolepis var. rupestris (Aver., H.T. Nguyen & L.K. Phan) L.K. Phan, Long K. Phan & Aver.