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Investigating the minimum detectable activity concentration and contributing factors in airborne gamma-ray spectrometry

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Abstract

In this study, the theory of minimum detectable activity concentration (MDAC) for airborne gamma-ray spectrometry (AGS) was derived, and the relationship between the MDAC and the intrinsic efficiency of a scintillation counter, volume, and energy resolution of scintillation crystals, and flight altitude of an aircraft was investigated. To verify this theory, experimental devices based on NaI and CeBr3 scintillation counters were prepared, and the potassium, uranium, and thorium contents in calibration pads obtained via the stripping ratio method and theory were compared. The MDACs of AGS under different conditions were calculated and analyzed using the proposed theory and the Monte Carlo method. The relative errors found via a comparison of the experimental and theoretical results were less than 4%. The theory of MDAC can guide the work of AGS in probing areas with low radioactivity.

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References

  1. L.A. Currie, Limits for qualitative detection and quantitative determination. Application to radiochemistry. Anal. Chem. 40(3), 586–593 (1968). https://doi.org/10.1021/ac60259a007

    Article  Google Scholar 

  2. L.Q. Ge, S.Q. Xiong, G.Q. Zeng et al. (eds.), Airborne Gamma Ray Spectrum Detection and Applications (Science Press, Beijing, 2016). (in Chinese)

    Google Scholar 

  3. IAEA TECDOC 1363, Guidelines for radioelement mapping using gamma ray spectrometry data. International atomic energy agency, Vienna, (2003)

  4. EJ/T 1032–2005, Specification for airborne gamma-ray spectrometry. China Commission of Science Technology and Industry for National Defense, Beijing, (2005) (in Chinese)

  5. R. Pöllänen, H. Toivonen, K. Peräjärvi et al., Performance of an air sampler and a gamma-ray detector in a small unmanned aerial vehicle. J. Radioanal. Nucl. Chem. 282(2), 433–437 (2009). https://doi.org/10.1007/s10967-009-0284-3

    Article  Google Scholar 

  6. R. Casanovas, J.J. Morant, M. Salvadó, Development and calibration of a real-time airborne radioactivity monitor using direct gamma-ray spectrometry with two scintillation detectors. Appl. Radiat. Isot. 89, 102–108 (2014). https://doi.org/10.1016/j.apradiso.2014.01.026

    Article  Google Scholar 

  7. X.B. Tang, J. Meng, P. Wang et al., Efficiency calibration and minimum detectable activity concentration of a real-time UAV airborne sensor system with two gamma spectrometers. Appl. Radiat. Isot. 110, 100–108 (2016). https://doi.org/10.1016/j.apradiso.2016.01.008

    Article  Google Scholar 

  8. X.B. Tang, J. Meng, P. Wang et al., Simulated minimum detectable activity concentration (MDAC) for a real-time UAV airborne radioactivity monitoring system with HPGe and LaBr 3 detectors. Radiat. Meas. 85, 126–133 (2016). https://doi.org/10.1016/j.radmeas.2015.12.031

    Article  Google Scholar 

  9. W.C. Ni, W.J. Cai, G.L. Gao, Study of the detection limit of manmade radionuclide detected by airborne gamma ray spectrometry. Nucl. Tech. 41, 100202 (2018). https://doi.org/10.11889/j.0253-3219.2018.hjs.41.100202(inChinese)

    Article  Google Scholar 

  10. H.S. Wu (ed.), Nuclear Technique Exploration (Atomic Energy Press, Beijing, 1998). (in Chinese)

    Google Scholar 

  11. C.H. Lu, Q.C. Liu, C.Q. Han (eds.), Spatial γ-Field Elastic Variation and Applications (Atomic Energy Press, Beijing, 1998). (in Chinese)

    Google Scholar 

  12. H.X. Wu, Dissertation, a study on spectrum response of airborne gamma-ray spectral survey system and its application, Chengdu University of Technology, (2016) (in Chinese)

  13. S. Xu, Dissertation, research on sourceless efficiency calculation for airborne gamma-ray spectrometer. Chengdu University of Technology, (2019) (in Chinese)

  14. J.F. He, Q.F. Wu, J.P. Cheng et al., An inversion decomposition test based on Monte Carlo response matrix on the γ-ray spectra from NaI(Tl) scintillation detector. Nucl. Sci. Tech. 27, 101 (2016). https://doi.org/10.1007/s41365-016-0104-8

    Article  Google Scholar 

  15. Q. Song, Dissertation, development of a PMT-BASE digital energy spectrometer with embedded automatic spectrum stabilization, Chengdu University of Technology, (2019)

  16. S. Agostinelli, J. Allison, K. Amako, Geant4—a simulation toolkit. Nucl. Instrum. Meth. A 506(3), 250–303 (2003). https://doi.org/10.1016/S0168-9002(03)01368-8

    Article  ADS  Google Scholar 

  17. J.E. Fast, C.E. Aalseth, D.M. Asner et al., The multi-sensor airborne radiation survey (MARS) instrument. Nucl. Instrum. Meth. A 698, 152–167 (2013). https://doi.org/10.1016/j.nima.2012.09.029

    Article  ADS  Google Scholar 

  18. L.Q. Ge, G.Q. Zeng, W.C. Lai et al., The development of a digital airborne gamma-ray spectrometry. Nucl. Tech. 34, 156–160 (2011). (in Chinese)

    Google Scholar 

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Authors and Affiliations

Authors

Contributions

All authors contributed to the study’s conception and design. Material preparation, data collection, and analysis were performed by Yi Gu, Kun Sun, Liang-Quan Ge, Yuan-Dong Li, Qing-Xian Zhang, Xuan Guan, Wan-Chang Lai, Zhong-Xiang Lin, and Xiao-Zhong Han. The first draft of the manuscript was written by Yi Gu and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Kun Sun.

Additional information

This work was supported by the Sichuan Science and Technology Program (No. 2020JDRC0108) and the National Science Foundation of China (Nos. 41774147 and 41774190).

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Gu, Y., Sun, K., Ge, LQ. et al. Investigating the minimum detectable activity concentration and contributing factors in airborne gamma-ray spectrometry. NUCL SCI TECH 32, 110 (2021). https://doi.org/10.1007/s41365-021-00951-6

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  • DOI: https://doi.org/10.1007/s41365-021-00951-6

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