Refine your search:     
Report No.
 - 

Estimation of particulate and dissolved $$^{137}$$Cs discharge from rivers to the ocean near the Fukushima Dai-ichi Nuclear Power Plant using a simple model

Sakuma, Kazuyuki   ; Aoyama, Michio*; Nakanishi, Takahiro   ; Kurikami, Hiroshi  ; Machida, Masahiko  ; Yamada, Susumu  ; Iwata, Ayako

MERCURY is one of the models developed to simply predict $$^{137}$$Cs discharge from rivers to the ocean for understanding of $$^{137}$$Cs migration from seawater and sediment to the ecosystem and for estimating $$^{137}$$Cs discharge under heavy rainfall immediately. It is composed of a tank model, relationships between water discharge and suspended solids load, and two-component exponential models for river water $$^{137}$$Cs concentration. Using the MERCURY, $$^{137}$$Cs discharge to the ocean from five rivers near the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) in 2018 and 2019 was estimated to be 0.23 and 0.81 TBq. $$^{137}$$Cs discharge in 2019 was larger than in 2018 due to the two huge typhoons in October 2019, Hagibis and Bualoi. Although the model has some limitations such as underestimating the $$^{137}$$Cs discharge during a heavy rainfall due to lack of modeling dependence of $$^{137}$$Cs concentration on sediment size, it can quickly evaluate the effect of $$^{137}$$Cs discharge from rivers to the coastal area near FDNPP.

Accesses

:

- Accesses

InCites™

:

Altmetrics

:

[CLARIVATE ANALYTICS], [WEB OF SCIENCE], [HIGHLY CITED PAPER & CUP LOGO] and [HOT PAPER & FIRE LOGO] are trademarks of Clarivate Analytics, and/or its affiliated company or companies, and used herein by permission and/or license.