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

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 o...

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Main Authors: Peter G. Martin, James Moore, John S. Fardoulis, Oliver D. Payton, Thomas B. Scott
Format: Article
Language:English
Published: MDPI AG 2016-11-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/8/11/913
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author Peter G. Martin
James Moore
John S. Fardoulis
Oliver D. Payton
Thomas B. Scott
author_facet Peter G. Martin
James Moore
John S. Fardoulis
Oliver D. Payton
Thomas B. Scott
author_sort Peter G. Martin
collection DOAJ
description 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.
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spelling doaj.art-4071f0efbf1f4506968a723d474b42992022-12-22T04:06:20ZengMDPI AGRemote Sensing2072-42922016-11-0181191310.3390/rs8110913rs8110913Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial VehiclePeter G. Martin0James Moore1John S. Fardoulis2Oliver D. Payton3Thomas B. Scott4Interface Analysis Centre, School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, UKSellafield Ltd., Sellafield, Seascale, Cumbria CA20 1PG, UKInterface Analysis Centre, School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, UKInterface Analysis Centre, School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, UKInterface Analysis Centre, School of Physics, HH Wills Physics Laboratory, University of Bristol, Tyndall Avenue, Bristol BS8 1TL, UKThe 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.http://www.mdpi.com/2072-4292/8/11/913Sellafieldcontaminationnuclear wastereprocessingradiationUAVmappingsensor-fusion
spellingShingle Peter G. Martin
James Moore
John S. Fardoulis
Oliver D. Payton
Thomas B. Scott
Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle
Remote Sensing
Sellafield
contamination
nuclear waste
reprocessing
radiation
UAV
mapping
sensor-fusion
title Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle
title_full Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle
title_fullStr Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle
title_full_unstemmed Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle
title_short Radiological Assessment on Interest Areas on the Sellafield Nuclear Site via Unmanned Aerial Vehicle
title_sort radiological assessment on interest areas on the sellafield nuclear site via unmanned aerial vehicle
topic Sellafield
contamination
nuclear waste
reprocessing
radiation
UAV
mapping
sensor-fusion
url http://www.mdpi.com/2072-4292/8/11/913
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