Evaluation of ambient dose equivalent rates influenced by vertical and horizontal distribution of radioactive cesium in soil in Fukushima Prefecture
Alex Malins, Hiroshi Kurikami, Shigeo Nakama, Tatsuo Saito, Masahiko, Okumura, Masahiko Machida, Akihiro Kitamura

TL;DR
This study develops and verifies a model to predict ambient dose rates from radioactive cesium in Fukushima soil, showing that detailed spatial distribution improves accuracy and that certain soil remediation methods effectively reduce radiation levels.
Contribution
Introduces a validated modeling tool for ambient dose rates considering vertical and horizontal cesium distribution, enhancing prediction accuracy in contaminated environments.
Findings
Good correlation between predicted and measured dose rates.
Horizontal distribution modeling improves prediction accuracy.
Topsoil removal and layer exchange effectively reduce dose rates.
Abstract
The air dose rate in an environment contaminated with 134Cs and 137Cs depends on the amount, depth profile and horizontal distribution of these contaminants within the ground. This paper introduces and verifies a tool that models these variables and calculates ambient dose equivalent rates at 1 m above the ground. Good correlation is found between predicted dose rates and dose rates measured with survey meters in Fukushima Prefecture in areas contaminated with radiocesium from the Fukushima Dai-ichi Nuclear Power Plant accident. This finding is insensitive to the choice for modelling the activity depth distribution in the ground using activity measurements of collected soil layers, or by using exponential and hyperbolic secant fits to the measurement data. Better predictions are obtained by modelling the horizontal distribution of radioactive cesium across an area if multiple soil…
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