Abstract
After the Fukushima Dai-Ichi Nuclear Power Plant (FDNPP) accident, 134Cs and 137Cs were spread widely into the environment. Spatial distribution maps giving radiocesium activities in contaminated soils for post-accident risk modeling were obtained using the Kriging method. We used Generalized extreme-value distribution, Lognormal probability distribution (PDF) and Weibull PDFs for risk assessment of the data. Root mean square error values and coefficient of determination (R2) were calculated for each distribution function. Weibull PDF was found to be more successful in modeling 134Cs and 137Cs activities.
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