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Nonintrusive Depth Estimation of Buried Radioactive Wastes using Ground Penetrating Radar and a Gamma Ray Detector

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Nonintrusive Depth Estimation of Buried Radioactive Wastes using Ground Penetrating Radar and a Gamma Ray Detector. / Ukaegbu, Ikechukwu; Akurugoda Gamage, Kelum; Aspinall, Michael Douglas.
In: Remote Sensing, Vol. 11, No. 2, 141, 12.01.2019.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Ukaegbu, I, Akurugoda Gamage, K & Aspinall, MD 2019, 'Nonintrusive Depth Estimation of Buried Radioactive Wastes using Ground Penetrating Radar and a Gamma Ray Detector', Remote Sensing, vol. 11, no. 2, 141. https://doi.org/10.3390/rs11020141

APA

Ukaegbu, I., Akurugoda Gamage, K., & Aspinall, M. D. (2019). Nonintrusive Depth Estimation of Buried Radioactive Wastes using Ground Penetrating Radar and a Gamma Ray Detector. Remote Sensing, 11(2), Article 141. https://doi.org/10.3390/rs11020141

Vancouver

Ukaegbu I, Akurugoda Gamage K, Aspinall MD. Nonintrusive Depth Estimation of Buried Radioactive Wastes using Ground Penetrating Radar and a Gamma Ray Detector. Remote Sensing. 2019 Jan 12;11(2):141. doi: 10.3390/rs11020141

Author

Ukaegbu, Ikechukwu ; Akurugoda Gamage, Kelum ; Aspinall, Michael Douglas. / Nonintrusive Depth Estimation of Buried Radioactive Wastes using Ground Penetrating Radar and a Gamma Ray Detector. In: Remote Sensing. 2019 ; Vol. 11, No. 2.

Bibtex

@article{981e00b1429b451eaea4ebc067486552,
title = "Nonintrusive Depth Estimation of Buried Radioactive Wastes using Ground Penetrating Radar and a Gamma Ray Detector",
abstract = "This study reports on the combination of data from a ground penetrating radar (GPR) and a gamma ray detector for nonintrusive depth estimation of buried radioactive sources. The use of the GPR was to enable the estimation of the material density required for the calculation of the depth of the source from the radiation data. Four different models for bulk density estimation were analysed using three materials, namely: sand, gravel and soil. The results showed that the GPR was able to estimate the bulk density of the three materials with an average error of 4.5%. The density estimates were then used together with gamma ray measurements to successfully estimate the depth of a 658 kBq caesium-137 radioactive source buried in each of the three materials investigated. However, a linear correction factor needs to be applied to the depth estimates due to the deviation of the estimated depth from the measured depth as the depth increases. This new application of GPR will further extend the possible fields of application of this ubiquitous geophysical tool.",
keywords = "Ground penetrating radar (GPR), radiation detection, bulk density, nuclear decommissioning, nuclear wastes, nonintrusive depth estimation",
author = "Ikechukwu Ukaegbu and {Akurugoda Gamage}, Kelum and Aspinall, {Michael Douglas}",
year = "2019",
month = jan,
day = "12",
doi = "10.3390/rs11020141",
language = "English",
volume = "11",
journal = "Remote Sensing",
issn = "2072-4292",
publisher = "MDPI AG",
number = "2",

}

RIS

TY - JOUR

T1 - Nonintrusive Depth Estimation of Buried Radioactive Wastes using Ground Penetrating Radar and a Gamma Ray Detector

AU - Ukaegbu, Ikechukwu

AU - Akurugoda Gamage, Kelum

AU - Aspinall, Michael Douglas

PY - 2019/1/12

Y1 - 2019/1/12

N2 - This study reports on the combination of data from a ground penetrating radar (GPR) and a gamma ray detector for nonintrusive depth estimation of buried radioactive sources. The use of the GPR was to enable the estimation of the material density required for the calculation of the depth of the source from the radiation data. Four different models for bulk density estimation were analysed using three materials, namely: sand, gravel and soil. The results showed that the GPR was able to estimate the bulk density of the three materials with an average error of 4.5%. The density estimates were then used together with gamma ray measurements to successfully estimate the depth of a 658 kBq caesium-137 radioactive source buried in each of the three materials investigated. However, a linear correction factor needs to be applied to the depth estimates due to the deviation of the estimated depth from the measured depth as the depth increases. This new application of GPR will further extend the possible fields of application of this ubiquitous geophysical tool.

AB - This study reports on the combination of data from a ground penetrating radar (GPR) and a gamma ray detector for nonintrusive depth estimation of buried radioactive sources. The use of the GPR was to enable the estimation of the material density required for the calculation of the depth of the source from the radiation data. Four different models for bulk density estimation were analysed using three materials, namely: sand, gravel and soil. The results showed that the GPR was able to estimate the bulk density of the three materials with an average error of 4.5%. The density estimates were then used together with gamma ray measurements to successfully estimate the depth of a 658 kBq caesium-137 radioactive source buried in each of the three materials investigated. However, a linear correction factor needs to be applied to the depth estimates due to the deviation of the estimated depth from the measured depth as the depth increases. This new application of GPR will further extend the possible fields of application of this ubiquitous geophysical tool.

KW - Ground penetrating radar (GPR)

KW - radiation detection

KW - bulk density

KW - nuclear decommissioning

KW - nuclear wastes

KW - nonintrusive depth estimation

U2 - 10.3390/rs11020141

DO - 10.3390/rs11020141

M3 - Journal article

VL - 11

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

IS - 2

M1 - 141

ER -