Literature DB >> 24182910

World Meteorological Organization's model simulations of the radionuclide dispersion and deposition from the Fukushima Daiichi nuclear power plant accident.

Roland Draxler1, Dèlia Arnold2, Masamichi Chino3, Stefano Galmarini4, Matthew Hort5, Andrew Jones5, Susan Leadbetter5, Alain Malo6, Christian Maurer2, Glenn Rolph7, Kazuo Saito8, René Servranckx6, Toshiki Shimbori8, Efisio Solazzo4, Gerhard Wotawa2.   

Abstract

Five different atmospheric transport and dispersion model's (ATDM) deposition and air concentration results for atmospheric releases from the Fukushima Daiichi nuclear power plant accident were evaluated over Japan using regional (137)Cs deposition measurements and (137)Cs and (131)I air concentration time series at one location about 110 km from the plant. Some of the ATDMs used the same and others different meteorological data consistent with their normal operating practices. There were four global meteorological analyses data sets available and two regional high-resolution analyses. Not all of the ATDMs were able to use all of the meteorological data combinations. The ATDMs were configured identically as much as possible with respect to the release duration, release height, concentration grid size, and averaging time. However, each ATDM retained its unique treatment of the vertical velocity field and the wet and dry deposition, one of the largest uncertainties in these calculations. There were 18 ATDM-meteorology combinations available for evaluation. The deposition results showed that even when using the same meteorological analysis, each ATDM can produce quite different deposition patterns. The better calculations in terms of both deposition and air concentration were associated with the smoother ATDM deposition patterns. The best model with respect to the deposition was not always the best model with respect to air concentrations. The use of high-resolution mesoscale analyses improved ATDM performance; however, high-resolution precipitation analyses did not improve ATDM predictions. Although some ATDMs could be identified as better performers for either deposition or air concentration calculations, overall, the ensemble mean of a subset of better performing members provided more consistent results for both types of calculations. Published by Elsevier Ltd.

Keywords:  ATDM; Air concentration; Cesium; Deposition; Fukushima; Iodine

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Year:  2013        PMID: 24182910     DOI: 10.1016/j.jenvrad.2013.09.014

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


  6 in total

1.  Impacts on air dose rates after the Fukushima accident over the North Pacific from 19 March 2011 to 2 September 2015.

Authors:  Kuo-Ying Wang; Philippe Nedelec; Hannah Clark; Neil Harris; Mizuo Kajino; Yasuhito Igarashi
Journal:  PLoS One       Date:  2022-08-24       Impact factor: 3.752

2.  Long-distance transport of radioactive plume by nocturnal local winds.

Authors:  Takao Yoshikane; Kei Yoshimura; Eun-Chul Chang; Akane Saya; Taikan Oki
Journal:  Sci Rep       Date:  2016-11-16       Impact factor: 4.379

3.  Numerical simulations of atmospheric dispersion of iodine-131 by different models.

Authors:  Ádám Leelőssy; Róbert Mészáros; Attila Kovács; István Lagzi; Tibor Kovács
Journal:  PLoS One       Date:  2017-02-16       Impact factor: 3.240

4.  First retrieval of hourly atmospheric radionuclides just after the Fukushima accident by analyzing filter-tapes of operational air pollution monitoring stations.

Authors:  Haruo Tsuruta; Yasuji Oura; Mitsuru Ebihara; Toshimasa Ohara; Teruyuki Nakajima
Journal:  Sci Rep       Date:  2014-10-22       Impact factor: 4.379

5.  Dynamics of atmospheric 131I in radioactive plumes in eastern Japan immediately after the Fukushima accident by analysing published data.

Authors:  Haruo Tsuruta; Yuichi Moriguchi; Teruyuki Nakajima
Journal:  Sci Rep       Date:  2019-09-13       Impact factor: 4.379

6.  Dispersion characteristics of radioactive materials estimated by wind patterns.

Authors:  Takao Yoshikane; Kei Yoshimura
Journal:  Sci Rep       Date:  2018-07-02       Impact factor: 4.379

  6 in total

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