Literature DB >> 29040899

Application of topographical source model for air dose rates conversions in aerial radiation monitoring.

Azusa Ishizaki1, Yukihisa Sanada2, Mutsushi Ishida2, Masahiro Munakata3.   

Abstract

After the Fukushima Daiichi Nuclear Power Station (FDNPS) accident in 2011, aerial radiation monitoring (ARM) using a manned helicopter was conducted to rapidly measure air dose rates and the deposition of radioactive nuclides over a large area. Typically, the air dose rate is obtained by conversion from the count rate using conventional flat source model (FSM). The converted dose rate obtained via aerial monitoring poorly matches the results of ground measurement in the mountain and forest areas because FSM does not consider topographical effects. To improve the conversion accuracy, we developed new methods to analyze aerial monitoring data using topographical source model (TSM) based on the analytical calculation of the gamma-ray flux. The ARM results converted using both FSM as well as TSM were compared with ground measurement data obtained after the FDNPS accident. By using TSM, the conversion accuracy was improved. In addition, to determine a parameter sensitive to topographical effects, we examined five parameters and it was clear that the difference between the elevation just below the helicopter and the mean elevation within the measurement area was the most influential.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Aerial radiation monitoring; Air dose rate; Fukushima Daiichi nuclear power plant; Radiation measurement

Mesh:

Substances:

Year:  2017        PMID: 29040899     DOI: 10.1016/j.jenvrad.2017.09.028

Source DB:  PubMed          Journal:  J Environ Radioact        ISSN: 0265-931X            Impact factor:   2.674


  1 in total

1.  New method for visualizing the dose rate distribution around the Fukushima Daiichi Nuclear Power Plant using artificial neural networks.

Authors:  Miyuki Sasaki; Yukihisa Sanada; Estiner W Katengeza; Akio Yamamoto
Journal:  Sci Rep       Date:  2021-01-20       Impact factor: 4.379

  1 in total

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