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Future projection of radiocesium flux to the ocean from the largest river impacted by Fukushima Daiichi Nuclear Power Plant

机译:从福岛第一核电站影响的最大河流到海洋的放射性铯通量的未来预测

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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 R2 obtained from 137Cs and 134Cs 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 109?bq.month?1 while the total accumulation of the discharge is 111?TBq for 137Cs and 44?TBq for 134Cs.
机译:从福岛第一核电站(FDNPP)最初坠落后,大量的放射性铯已从阿布库马河排放到太平洋。这项研究试图通过开发多隔室模型来数值模拟of流到阿布库马河中的流量,该模型结合了放射性核素从集水区地表到河流的迁移过程,这一过程称为冲刷。该模型的结果表明,与其他子流域相比,森林面积百分比高的子流域以较低的速率释放放射性核素。此外,结果表明该模型可以预测观测数据的季节模式。尽管在建模数据和观测数据之间观察到高估,从 137 Cs和 134 Cs获得的R 2 的值为0.98和0.97分别证明模型的准确性。事故发生后100年流域的排放量预测表明,放射性铯进入太平洋的通量仍然相对较高,数量级为10 9 ?bq.month ?1 ,而 137 Cs的放电总量为111?TBq, 134 Cs的放电总量为44?TBq。

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