Issue |
E3S Web Conf.
Volume 240, 2021
The 2nd edition of Oriental Days for the Environment “Solid Waste” As a Vital Resource for Sustainable Development (JOE2)
|
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Article Number | 03002 | |
Number of page(s) | 3 | |
Section | Valorisation & Renewable Energies | |
DOI | https://doi.org/10.1051/e3sconf/202124003002 | |
Published online | 30 March 2021 |
Self-absorption Correction Factors: Applying A Simplified Method to Analysis of Lead-210 in Different Environment Samples by Direct Counting of Low-energy Using HPGe Detector
1
LPMS, Physics Department, University of Ibn Tofail UIT, P. O. Box 133, Kenitra, Morocco
2
Physics Department, Damascus University, Damascus, Syria
3
Department of Protection and Safety, Atomic Energy Commission of Syria AECS, Damascus, Syria
4
Basic Science Department, Faculty of Electrical and Mechanical Engineering, Damascus University, Syria
* Corresponding author: jaltuweity@gmail.com
This study aimed to determine the self-absorption correction factors of lead-210 (210Pb) in various Syrian environment samples. Seven sediments, five soils, and four plant samples were analysed by Gamma Spectroscopy using simple and direct analysis method called Cutshall. The method is based on measuring the penetration of gamma which emitted from a standard source, prepared in the laboratory by deposition of QCYB40 Standard Solution on stainless steel disk. The source was placed on top of the studied sample and the reference air sample during the measurement. The purpose was to study the self-absorption inside each sample by calculation of its self-absorption factors without knowing its chemical composition. The self-absorption correction results for the sediment samples SE3, SE6 and SE8 ranged between 36% and 45%, and 34% to 42% for the soil samples S5 and S1, respectively. Also, for the four plant samples, it recorded variance range from 4% to 18%. This is due to the difference in the density of the G4 sample, which appeared to be very low. However, the self-absorption correction factors CF were set for the different environmental samples, and the results show that the density factor of the sample is not the only influent factor in the CF values for low energies measurement, the sample chemical composition (sample matrix) is also more effective in addition to the samples’ particle sizes.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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