A model of 90Sr distribution in the sea near Daya Bay Nuclear Power Plant in China

Jingyu WANG, Hongwei FANG, Guojian HE, Lei HUANG

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PDF(999 KB)
Front. Environ. Sci. Eng. ›› 2014, Vol. 8 ›› Issue (6) : 845-853. DOI: 10.1007/s11783-014-0708-3
RESEARCH ARTICLE
RESEARCH ARTICLE

A model of 90Sr distribution in the sea near Daya Bay Nuclear Power Plant in China

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Abstract

The impact on the environment of radionuclide release from nuclear power plants has attracted increased attention, especially after the accident at Fukushima Daiichi Nuclear Power Plant in Japan. Based on the mechanisms of adsorption/desorption at solid/liquid interfaces and a surface micromorphology model of sediments, a theoretical expression of the distribution coefficient Kd is derived. This coefficient has significant effects on the distribution of radionuclide in seawater, suspended sediment and seabed sediment. Kd is then used to simulate 90Sr transport in the sea near the Daya Bay Nuclear Power Plant. The simulation results are compared with field measurements of tidal level, current velocity, suspended sediment concentration and 90Sr concentrations in the same period. Overall, the simulated results agree well with the field measured data. Thus, the derived expression for Kd is capable of interpreting realistic adsorption/desorption processes. What’s more, conclusion is drawn that about 40% 90Sr released by Daya Bay Nuclear Power Plant will be adsorbed by suspended sediment and 20% by seabed sediment, only about 40% 90Sr will remain in the sea near Daya Bay Nuclear Power Plant in South China Sea.

Keywords

distribution coefficient / Daya Bay / hydrodynamic / sediment transport / radionuclide transport

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Jingyu WANG, Hongwei FANG, Guojian HE, Lei HUANG. A model of 90Sr distribution in the sea near Daya Bay Nuclear Power Plant in China. Front. Environ. Sci. Eng., 2014, 8(6): 845‒853 https://doi.org/10.1007/s11783-014-0708-3

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Acknowledgements

This research was supported by the National Natural Science Foundation of China (Grant No. 51139003). We thank the China Institute for Radiation Protection and China Institute of Water Resources and Hydropower Research for their valuable input.

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2014 Higher Education Press and Springer-Verlag Berlin Heidelberg
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