Cesium concentrations in various environmental media at Namie, Fukushima

Hegedűs, Miklós; Shiroma, Yoshitaka; Iwaoka, Kazuki; Hosoda, Masahiro; Suzuki, Takahito; Tamakuma, Yuki; Yamada, Ryohei; Tsujiguchi, Takakiyo; Yamaguchi, Masaru; Ogura, Koya; Tazoe, Hirofumi; Kashiwakura, Ikuo; Tokonami, Shinji

doi:10.1007/s10967-019-06942-7

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…The accident released an enormous quantity of radionuclides from exploded reactors into the atmosphere, Pacific Ocean and ground [10,11]. The concentration of released 137 Cs and 134 Cs similarly reached the peak in the mid of March 2011 with the estimated amount as 15.2-20.4 PBq Namie Town in Fukushima Prefecture, Japan [12]. The distribution of gamma-emitting radionuclides resulted different air dose rates around the FDNPP regions [13].…”

Section: Introductionmentioning

confidence: 99%

A mobile simulation and ARIMA modeling for prediction of air radiation dose rates

Salh

Külahçı

Aközcan

2021

J Radioanal Nucl Chem

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A spatial simulation method in .mp4 format was proposed to determine Fukushima radioactive fallout transport and the Absorbed Dose Rate, Annual Effective Dose Equivalent, and Excess Lifetime Cancer Risk were determined for 10 months after the accident (March 11 2011). The findings of this study demonstrate that an appropriate ARIMA model can be applied for radiation dose time-series in the case of nuclear reactor accidents like Chernobyl and Fukushima to predict the future air dose rates, which can provide valuable information in determining the evacuation zones, decontamination processes, and radiation protection progresses. The model forecasted results and the actual observation data in the same period shows a gradual decrease in the air dose rates during the prediction period. Moreover, there is a good agreement between them as the prediction and observation scatter plot follows each other with small variations. These results provide important insights into the predictability of ARIMA models; thus, the models were utilized to forecast the air dose rates for the period (January 2020 -October 2020).

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Section: Introductionmentioning

confidence: 99%

A mobile simulation and ARIMA modeling for prediction of air radiation dose rates

Salh

Külahçı

Aközcan

2021

J Radioanal Nucl Chem

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Environmental radioactivity measurements in soil using inductively coupled plasma mass spectrometry and gamma-ray spectrometry in various areas in Cameroon

Modibo

Yang

Saïdou

et al. 2023

J Radioanal Nucl Chem

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Caesium Retention Characteristics of Knifc–pan Resin From River Water

Hegedűs

Tazoe

Yang

et al. 2020

Radiation Protection Dosimetry

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The caesium retention characteristics of a potassium-nickel hexacyanoferrate resin in a polyacrylnitrile (KNiFC–PAN) matrix were tested in fresh water over the range of 2.5–400 mL min−1. The experimental setup used 2 mL resin and 4-L aliquots of freshwater samples. The results showed nearly 100% retention at speeds below 10 mL min−1, above 80% up to 100 mL min−1, and approached 50% at 400 mL min−1. Using 100 mL min−1 flow rate and KNiFC–PAN resin in a well-type HPGe detector, the minimum detectable concentration was reduced to 3 mBq kg−1 for 4-L aliquots of water samples from the previous 15 mBq kg−1 achieved by Powdex ion-exchange resin and a planar type HPGe detector.

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Cesium concentrations in various environmental media at Namie, Fukushima

Cited by 5 publications

References 17 publications

A mobile simulation and ARIMA modeling for prediction of air radiation dose rates

A mobile simulation and ARIMA modeling for prediction of air radiation dose rates

Environmental radioactivity measurements in soil using inductively coupled plasma mass spectrometry and gamma-ray spectrometry in various areas in Cameroon

Caesium Retention Characteristics of Knifc–pan Resin From River Water

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