4.5 Article

Statistical analysis for 134Cs and 137Cs radioactivity risk levels modeling

Journal

JOURNAL OF RADIOANALYTICAL AND NUCLEAR CHEMISTRY
Volume 326, Issue 2, Pages 1047-1064

Publisher

SPRINGER
DOI: 10.1007/s10967-020-07399-9

Keywords

Risk analysis; Probability distribution function; Distribution functions; Modeling; Kriging

Funding

  1. Firat University Scientific Research Projects Management Unit [FF.12.25]

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After the Fukushima Dai-Ichi Nuclear Power Plant (FDNPP) accident,Cs-134 and Cs-137 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 (R-2) were calculated for each distribution function. Weibull PDF was found to be more successful in modeling Cs-134 and Cs-137 activities. [GRAPHICS] .

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