[1A01-04] Radiolysis, Corrosion 1

[1A03] Machine learning analysis of piping dose rate and water chemistry parameters in Japanese BWRs

*Gaku Yamazaki¹, Kazutoshi Fujiwara¹ (1. CRIEPI)

Keywords:Machine learning, Radiation dose reduction, Piping dose rate, Water chemistry, Boiling water reactor

To develop a new water chemistry technique for reducing radioactive sources, the relationship between the piping dose rate and water chemistry parameters for Japanese BWRs was investigated. Machine learning was used to quantify the effect of each water chemistry parameter on the piping dose rate. The results suggested that the concentrations of the condensed filter Fe crud and the reactor water ⁵⁴Mn crud, ⁶⁰Co crud, and ¹³¹I are somehow related to the piping dose rate.