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Open AccessTechnical Note

Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle

1
Interface Analysis Centre, School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, UK
2
Sellafield Ltd., Sellafield, Seascale, Cumbria CA20 1PG, UK
*
Author to whom correspondence should be addressed.
Academic Editors: Richard Müller and Prasad S. Thenkabail
Remote Sens. 2016, 8(11), 913; https://doi.org/10.3390/rs8110913
Received: 16 September 2016 / Revised: 18 October 2016 / Accepted: 28 October 2016 / Published: 3 November 2016
The Sellafield nuclear plant is a 3 km2 site in north-west Cumbria, England, with a long and distinguished history of nuclear power generation, reprocessing and waste storage—with a current working emphasis on decommissioning and clean-up. Important to this safe, efficient and complete remediation of the site, routine monitoring is essential in a wide range of on-site environments and structures to attain: (i) accurately map the evolving distribution of radiation with the best possible accuracy (sensitivity and spatial resolution); in addition to (ii) the contributing radionuclide species and therefore the radiological and chemo-toxicity risk. This work presents the trial deployment of an unmanned aerial vehicle equipped with a lightweight radiation detection system as a novel tool for the assessment of radioactivity at a number of test-sites on the nuclear licenced site. Through the use of this system, it was possible to determine the existence of anthropogenically present radiation at selected facilities. Such a system has been proven to be highly accurate (spatially) and precise (attribution of contamination species observed) within the challenging site environments, capable of measuring and mapping contamination over both high and low dose-rate areas. View Full-Text
Keywords: Sellafield; contamination; nuclear waste; reprocessing; radiation; UAV; mapping; sensor-fusion Sellafield; contamination; nuclear waste; reprocessing; radiation; UAV; mapping; sensor-fusion
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MDPI and ACS Style

Martin, P.G.; Moore, J.; Fardoulis, J.S.; Payton, O.D.; Scott, T.B. Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle. Remote Sens. 2016, 8, 913. https://doi.org/10.3390/rs8110913

AMA Style

Martin PG, Moore J, Fardoulis JS, Payton OD, Scott TB. Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle. Remote Sensing. 2016; 8(11):913. https://doi.org/10.3390/rs8110913

Chicago/Turabian Style

Martin, Peter G.; Moore, James; Fardoulis, John S.; Payton, Oliver D.; Scott, Thomas B. 2016. "Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle" Remote Sens. 8, no. 11: 913. https://doi.org/10.3390/rs8110913

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Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

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