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Fukushima 137Cs releases dispersion modelling over the Pacific Ocean. Comparisons of models with water, sediment and biota data.

Authors
  • Periáñez, R1
  • Bezhenar, R2
  • Brovchenko, I2
  • Jung, K T3
  • Kamidara, Y4
  • Kim, K O3
  • Kobayashi, T4
  • Liptak, L5
  • Maderich, V2
  • Min, B I6
  • Suh, K S6
  • 1 Dpt Física Aplicada I, ETSIA, Universidad de Sevilla, Ctra Utrera km 1, 41013, Sevilla, Spain. Electronic address: [email protected] , (Spain)
  • 2 Institute of Mathematical Machine and System Problems, Glushkov av., 42, Kiev, 03187, Ukraine. , (Ukraine)
  • 3 Korea Institute of Ocean Science and Technology, 385, Haeyang-ro, Yeongdo-gu, Busan Metropolitan City, Republic of Korea. , (North Korea)
  • 4 Japan Atomic Energy Agency, 2-4 Shirakata Shirane, Tokai, Ibaraki, 319-1195, Japan. , (Iran)
  • 5 ABmerit s.r.o., Hornopotocna 1, 917 01, Trnava, Slovakia. , (Slovakia)
  • 6 Korea Atomic Energy Research Institute, Daedeok-Daero, 989-111, Yuseong-Gu, Daejeon, Republic of Korea. , (North Korea)
Type
Published Article
Journal
Journal of environmental radioactivity
Publication Date
Mar 01, 2019
Volume
198
Pages
50–63
Identifiers
DOI: 10.1016/j.jenvrad.2018.12.014
PMID: 30590333
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

A number of marine radionuclide dispersion models (both Eulerian and Lagrangian) were applied to simulate 137Cs releases from Fukushima Daiichi nuclear power plant accident in 2011 over the Pacific at oceanic scale. Simulations extended over two years and both direct releases into the ocean and deposition of atmospheric releases on the ocean surface were considered. Dispersion models included an embedded biological uptake model (BUM). Three types of BUMs were used: equilibrium, dynamic and allometric. Model results were compared with 137Cs measurements in water (surface, intermediate and deep layers), sediment and biota (zooplankton, non-piscivorous and piscivorous fish). A reasonable agreement in model/model and model/data comparisons was obtained. Copyright © 2018 Elsevier Ltd. All rights reserved.

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