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Development of an Analytical Method for Estimating Three-Dimensional Distribution of Sediment-Associated Radiocesium at a Reservoir Bottom.
Ochi, Kotaro; Urabe, Yoshimi; Yamada, Tsutomu; Sanada, Yukihisa.
Afiliação
  • Ochi K; Fukushima Environmental Safety Center , Japan Atomic Energy Agency , 45-169, Sukakeba, Kaibama-aza, Haramachi , Minamisoma , Fukushima 975-0036 , Japan.
  • Urabe Y; NESI Inc. , 38, Shinko-cho , Hitachinaka , Ibaraki 312-0005 , Japan.
  • Yamada T; Japan Radiation Engineering Co., Ltd , 1-5-20, Sakuragawa-cho , Hitachi , Ibaraki 316-0002 , Japan.
  • Sanada Y; Fukushima Environmental Safety Center , Japan Atomic Energy Agency , 45-169, Sukakeba, Kaibama-aza, Haramachi , Minamisoma , Fukushima 975-0036 , Japan.
Anal Chem ; 90(18): 10795-10802, 2018 09 18.
Article em En | MEDLINE | ID: mdl-30114906
ABSTRACT
After the Fukushima Daiichi Nuclear Power Station accident, the distributions of sediment-associated radiocesium were investigated to evaluate the dispersion and accumulation of radiocesium in the reservoir field. To develop an analytical method for measuring the horizontal and vertical distributions of radiocesium on a wide scale, we obtained 253 gamma-ray spectra at the bottoms of 64 ponds in Fukushima during 2014-2016 by using a NaI(Tl) scintillation detector. For visualizing horizontal distribution, the correlation between detector counting rate and radiocesium concentration of the bottom sediment was confirmed. In estimating vertical distribution, the depth profile of sediment-associated radiocesium was found to be correlated to the intensities of scattered and photo peaks. Good agreement was observed between the results of in situ spectrometry and core sampling. These results indicate that the developed method is suitable for understanding the behavior of radiocesium and determining whether decontamination of reservoirs is required.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Risk_factors_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article