2019
DOI: 10.1016/j.jenvrad.2018.09.013
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Applicability of K for modelling dissolved 137Cs concentrations in Fukushima river water: Case study of the upstream Ota River

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Cited by 5 publications
(32 citation statements)
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“…For the results from Sakuma, Tsuji, et al (2018) without the coupled forest compartment model, 91% of the results are within a factor of two of the measurements. The corresponding result with the forest compartment model is 93%, that is, slightly higher in this study than the Sakuma, Tsuji, et al (2018) study. Furthermore, the Pearson correlation coefficient (r) is much better in this study (r = 0.62) than in the previous study (r = −0.33).…”
Section: Comparison Of Dissolved 137 Cs Concentrations In River Water...mentioning
confidence: 84%
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“…For the results from Sakuma, Tsuji, et al (2018) without the coupled forest compartment model, 91% of the results are within a factor of two of the measurements. The corresponding result with the forest compartment model is 93%, that is, slightly higher in this study than the Sakuma, Tsuji, et al (2018) study. Furthermore, the Pearson correlation coefficient (r) is much better in this study (r = 0.62) than in the previous study (r = −0.33).…”
Section: Comparison Of Dissolved 137 Cs Concentrations In River Water...mentioning
confidence: 84%
“…However, the Pearson correlation coefficient is positive for Case 3 with the forest compartment model; therefore, this model can better reproduce the dynamics of field observations. Furthermore, the root mean square error (RMSE) in Case 3 is slightly lower than Sakuma, Tsuji, et al (2018) (RMSE = 0.214 in Case 3, and 0.216 in Case 0).…”
Section: Comparison Of Dissolved 137 Cs Concentrations In River Water...mentioning
confidence: 96%
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