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Frontiers of Environmental Science & Engineering

ISSN 2095-2201

ISSN 2095-221X(Online)

CN 10-1013/X

Postal Subscription Code 80-973

2018 Impact Factor: 3.883

Front. Environ. Sci. Eng.    2014, Vol. 8 Issue (6) : 845-853
A model of 90Sr distribution in the sea near Daya Bay Nuclear Power Plant in China
Jingyu WANG,Hongwei FANG(),Guojian HE,Lei HUANG
The State Key Laboratory of Hydro Science and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China
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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     
Corresponding Authors: Hongwei FANG   
Online First Date: 09 May 2014    Issue Date: 17 November 2014
 Cite this article:   
Jingyu WANG,Hongwei FANG,Guojian HE, et al. A model of 90Sr distribution in the sea near Daya Bay Nuclear Power Plant in China[J]. Front. Environ. Sci. Eng., 2014, 8(6): 845-853.
Fig.1  Map showing the general location of Daya Bay
Fig.2  a) scanning electron microscope image of a sediment particle, and b) pores distributed on the surface
number a b
Fourier coefficient value Fourier coefficient value
1 a1 -0.004 b1 0.025
2 a2 0.007 b2 0.008
3 a3 0.014 b3 0.020
4 a4 0.038 b4 0.008
5 a5 0.035 b5 -0.028
6 a6 0.006 b6 -0.038
7 a7 -0.022 b7 -0.026
8 a8 -0.030 b8 0.001
9 a9 -0.016 b9 0.019
10 a10 0.001 b10 0.019
Tab.1  The values of Fourier coefficients (w = 1.0)
number parameter unit value
1 diffusion coefficient E m2·s-1 0.04
2 half-life time T year 27.7
3 f(Φ) 0.001
4 median diameter D50 m 0.05 × 10-3
5 sediment density ρs kg·m-3 2750
6 surface site density ρσ 1·m-2 6.9 × 1018
Tab.2  Summary of model parameters
Fig.3  The fitting results of distribution coefficient K d ( k a b = 0.0346 , and γ = 0.0487 )
Fig.4  The calibration results of tidal level and velocity
Fig.5  The calibration results of suspended sediment concentration
Fig.6  The calibration results of 90Sr concentrations in sea water (top) and on seabed sediment (bottom)
Fig.7  Simulated 90Sr concentrations (a) in sea water, (b) on suspended sediment, and (c) on seabed sediment
Fig.8  Simulated 90Sr transport from May 6, 1994 to May 10, 1995 at station R01
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