Advances on identification and animated simulations of radioactivity risk levels after Fukushima Nuclear Power Plant accident (with a data bank): A Critical Review

Abstract: This review study has been based on two main foundations as advances on the attainment of the risk radioactive fallouts levels, and the applications of methods for risk assessment to actual data and visual results, which are based on a 3-year study. A risk analysis model is developed with the animated simulations including the isotope distribution based on soil activity data, 131I measured at 19 stations after the Fukushima accident. Probability distribution functions of the risk levels are obtained in addition to the probability of occurrence (risk) and the probability of non-occurrence (reliability) of the activity risks concerning 131I. The results are used for prediction of 60-day radioactive fallout subsequence and animated (.mp4) through simulations. Graphical abstract: [Figure not available: see fulltext.]. © 2019, Akadémiai Kiadó, Budapest, Hungary

Transport modeling of 137Cs in soil after Fukushima Dai-Ichi Nuclear Power Plant accident by point cumulative semi-variogram method

The positions distribution of the regional variables in space have irregular or sometimes random scatter. In such a case, their study can be rather difficult and sometimes impossible by means of differential equations. Although variogram or semi-variogram (SV) methodology in the literature is employed to model the regional variable, in this paper, the use of the point cumulative SV (PCSV) procedure application is suggested for the 137Cs data, which is one of the most important radioactive nuclei not only for radioactive contamination of the environment after the Fukushima Dai-Ichi Nuclear Power Plant, but any nuclear accident whatsoever. As a result of the PCSV models, the categorical description of the 137Cs concentrations spatial distribution and transport characteristics are determined and interpreted. Prior to the application of the model, log-transformation is performed to fit the 137Cs data to the classical normal probability distribution and the normality of data is tested by Kolmogorov–Smirnov test. According to the PCSV models, five different categories describe whole spatial distribution and transport properties of 137Cs concentrations and also iso-radioactivity map is obtained for 137Cs. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature