2016
DOI: 10.1038/srep19915
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Predictability of the dispersion of Fukushima-derived radionuclides and their homogenization in the atmosphere

Abstract: Long-range simulation of the dispersion of air pollutants in the atmosphere is one of the most challenging tasks in geosciences. Application of precise and fast numerical models in risk management and decision support can save human lives and can diminish consequences of an accidental release. Disaster at Fukushima Daiichi nuclear power plant has been the most serious event in the nuclear technology and industry in the recent years. We present and discuss the results of the numerical simulations on dispersion … Show more

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Cited by 26 publications
(17 citation statements)
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“…Therefore, we should continue improving existing numerical models to more accurately represent the local circulation caused by diurnal cycle processes. This finding could also useful to improve the local depositions simulated by a global circulation model31.…”
Section: Discussionmentioning
confidence: 76%
“…Therefore, we should continue improving existing numerical models to more accurately represent the local circulation caused by diurnal cycle processes. This finding could also useful to improve the local depositions simulated by a global circulation model31.…”
Section: Discussionmentioning
confidence: 76%
“…The accident was caused by the Great East Japan Earthquake, which struck at 14:46 Japan Standard Time (JST; Coordinated Universal Time, UTC+ 9 h) on 11 March 2011. Takemura et al (2011) show that the negative anomaly of a 500-hPa height over the Okhotsk Sea area along 145°E made the westerly jet stronger than the climatological mean during mid-March; consequently, 70 to 80% of the radioactive material from the FDNPS was driven to the Pacific Ocean and the rest of the globe (Takemura et al 2011;Stohl et al 2012;Mészáros et al 2016). The remaining material spread over and deposited onto the land area of Japan, producing characteristic hot spot patterns (Yasunari et al 2011;JAEA 2012;SCJ 2014).…”
Section: Introductionmentioning
confidence: 99%
“…The study uses two Lagrangian dispersion models, the HYSPLIT model, one of the most widely used software for atmospheric dispersion simulations [ 9 , 10 ]; and RAPTOR, a Lagrangian model developed at Eötvös Loránd University [ 6 , 11 ]. Lagrangian models calculate atmospheric trajectories of particles originating from the source.…”
Section: Model Descriptionmentioning
confidence: 99%
“…The evaluation of dispersion models investigates two important aspects: whether and when the predicted plume reached the detection site (arrival time), and what maximum concentration it reached [ 6 8 ]. Arrival times and affected areas are usually well predictable with dispersion models, while peak values of concentrations show larger uncertainty.…”
Section: Introductionmentioning
confidence: 99%