Model simulations on the long-term dispersal of 137Cs released into the Pacific Ocean off Fukushima

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Abstract

A sequence of global ocean circulation models, with horizontal mesh sizes of 0.5°, 0.25°and 0.1°, are used to estimate the long-term dispersion by ocean currents and mesoscale eddies of a slowly decaying tracer (half-life of 30years, comparable to that of 137Cs) from the local waters off the Fukushima Dai-ichi Nuclear Power Plants. The tracer was continuously injected into the coastal waters over some weeks; its subsequent spreading and dilution in the Pacific Ocean was then simulated for 10years. The simulations do not include any data assimilation, and thus, do not account for the actual state of the local ocean currents during the release of highly contaminated water from the damaged plants in March-April 2011. An ensemble differing in initial current distributions illustrates their importance for the tracer patterns evolving during the first months, but suggests a minor relevance for the large-scale tracer distributions after 2-3years. By then the tracer cloud has penetrated to depths of more than 400m, spanning the western and central North Pacific between 25°N and 55°N, leading to a rapid dilution of concentrations. The rate of dilution declines in the following years, while the main tracer patch propagates eastward across the Pacific Ocean, reaching the coastal waters of North America after about 5-6years. Tentatively assuming a value of 10PBq for the net 137Cs input during the first weeks after the Fukushima incident, the simulation suggests a rapid dilution of peak radioactivity values to about 10Bqm3 during the first two years, followed by a gradual decline to 1-2Bqm3 over the next 4-7 years. The total peak radioactivity levels would then still be about twice the pre-Fukushima values. © 2012 IOP Publishing Ltd.

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APA

Behrens, E., Schwarzkopf, F. U., Lübbecke, J. F., & Böning, C. W. (2012). Model simulations on the long-term dispersal of 137Cs released into the Pacific Ocean off Fukushima. Environmental Research Letters, 7(3). https://doi.org/10.1088/1748-9326/7/3/034004

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