Literature DB >> 27744213

Temporal variation of dose rate distribution around the Fukushima Daiichi nuclear power station using unmanned helicopter.

Yukihisa Sanada1, Tadashi Orita2, Tatsuo Torii3.   

Abstract

Aerial radiological survey using an unmanned aerial vehicle (UAV) was applied to measurement surface contamination around the Fukushima Daiichi nuclear power station (FDNPS). An unmanned helicopter monitoring system (UHMS) was developed to survey the environmental effect of radioactive cesium scattered as a result of the FDNPS accident. The UHMS was used to monitor the area surrounding the FDNPS six times from 2012 to 2015. Quantitative changes in the radioactivity distribution trend were revealed from the results of these monitoring runs. With this information, we found that the actual reduction of dose rate was faster than the one calculated with radiocesium physical half-life. It is indicated that the attenuation effect of radiation by radiocesium penetration in soil is dominant as for reason of reduction of dose rate.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fukushima Daiichi nuclear power station; Radiation measurement; Radioactive cesium; Unmanned aerial vehicle

Mesh:

Substances:

Year:  2016        PMID: 27744213     DOI: 10.1016/j.apradiso.2016.09.008

Source DB:  PubMed          Journal:  Appl Radiat Isot        ISSN: 0969-8043            Impact factor:   1.513


  3 in total

Review 1.  State-of-the-Art Mobile Radiation Detection Systems for Different Scenarios.

Authors:  Luís Marques; Alberto Vale; Pedro Vaz
Journal:  Sensors (Basel)       Date:  2021-02-04       Impact factor: 3.576

2.  Estimation of the Vertical Distribution of Radiocesium in Soil on the Basis of the Characteristics of Gamma-Ray Spectra Obtained via Aerial Radiation Monitoring Using an Unmanned Helicopter.

Authors:  Kotaro Ochi; Miyuki Sasaki; Mutsushi Ishida; Shoichiro Hamamoto; Taku Nishimura; Yukihisa Sanada
Journal:  Int J Environ Res Public Health       Date:  2017-08-17       Impact factor: 3.390

3.  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

  3 in total

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