Adhiraga Pratama Mochamad, Yoneda Minoru, Shimada Yoko, Matsui Yasuto, Yamashiki Yosuke
Environmental Risk Analysis Laboratory, Department of Environmental Engineering, Kyoto University.
Graduate School of Advanced Integrated Studies in Human Survivability, Kyoto University.
Sci Rep. 2015 Feb 12;5:8408. doi: 10.1038/srep08408.
Following the initial fall out from Fukushima Dai-ichi Nuclear Power Plant (FDNPP), a significant amount of radiocesium has been discharged from Abukuma River into the Pacific Ocean. This study attempted to numerically simulate the flux of radiocesium into Abukuma River by developing the multiple compartment model which incorporate the transport process of the radionuclide from the ground surface of the catchment area into the river, a process called wash off. The results from the model show that the sub-basins with a high percentage of forest area release the radionuclides at lower rate compared to the other sub-basins. In addition the results show that the model could predict the seasonal pattern of the observed data. Despite the overestimation observed between the modeled data and the observed data, the values of R(2) obtained from (137)Cs and (134)Cs of 0.98 and 0.97 respectively demonstrate the accuracy of the model. Prediction of the discharge from the basin area for 100 years after the accident shows that, the flux of radiocesium into the Pacific Ocean is still relatively high with an order of magnitude of 10(9) bq.month(-1) while the total accumulation of the discharge is 111 TBq for (137)Cs and 44 TBq for (134)Cs.
在福岛第一核电站(FDNPP)最初的事故影响之后,大量放射性铯从阿武隈川排入太平洋。本研究试图通过开发多隔室模型来数值模拟放射性铯进入阿武隈川的通量,该模型纳入了放射性核素从集水区地表进入河流的传输过程,即冲刷过程。模型结果表明,森林面积占比高的子流域释放放射性核素的速率低于其他子流域。此外,结果表明该模型可以预测观测数据的季节性模式。尽管模型数据与观测数据之间存在高估现象,但分别从¹³⁷Cs和¹³⁴Cs获得的R²值为0.98和0.97,证明了模型的准确性。对事故后100年流域面积排放量的预测表明,进入太平洋的放射性铯通量仍然相对较高,量级为10⁹bq·月⁻¹,而¹³⁷Cs的排放总量为111TBq,¹³⁴Cs为44TBq。