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Fluka simulation of PGNAA system for determining heavy metal pollution in the soil sample

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study presented a self-designed prompt gamma neutron activation analysis (PGNAA) model and used Fluka simulation to simulate the heavy metals (Mn, Cu, Hg, Ni, Cr, Pb) in soil samples. The relationship between the prompt gamma-ray yield of each heavy metal and soil thickness, content of heavy metals in the soil, and source distance was obtained. Simulation results show that the prompt gamma-ray yield of each heavy metal increases with the increase in soil thickness and reaches saturation at 18 cm. The greater the proportion of heavy metals in the soil, the greater the prompt gamma-ray yield. The highest content is approximately 3%, and the change in distance between the neutron source and soil sample does not affect the prompt gamma-ray yield of heavy metals.
Czasopismo
Rocznik
Strony
13--17
Opis fizyczny
Bibliogr. 18 poz., rys.
Twórcy
autor
  • Che ngdu University of Techn ology Chengdu 610059, China
autor
  • Chengdu University of Technology Chengdu 610059, China
autor
  • Che ngdu University of Techn ology Chengdu 610059, China
autor
  • Che ngdu University of Techn ology Chengdu 610059, China
autor
  • Che ngdu University of Techn ology Chengdu 610059, China
autor
  • Che ngdu University of Techn ology Chengdu 610059, China
Bibliografia
  • 1. Ghorbani, P., Sardari, D., Bayat, E., & Doostmohammadi, V. (2012). Neutron beam preparation with Am-Be source for analysis of biological samples with PGNAA method. J. Radioanal. Nucl. Chem., 291(1), 839–842. DOI: 10.1007/s10967-011-1359-5.
  • 2. Naqvi, A. A., Kalakada, Z., Al-Anezi, M. S., & Raashid, M., Khateeb-ur-Rehman, , Maslehuddin, M., & Garwan, M. A. (2012). Low energy prompt gamma-ray tests of a large volume BGO detector. Appl. Radiat. Isot., 70(1), 222–226. DOI: 10.1016/j.apradiso.2011.06.019.
  • 3. Ghassouna, J., & Mostacci, D. (2011). A compact neutron beam generator system designed for prompt gamma nuclear activation analysis. Appl. Radiat. Isot., 69(8), 1138–1142. DOI: 10.1016/j.apradiso. 2010.11.014.
  • 4. Mowlavi, A. A., & Yazdi, M. H. H. (2011). Monte Carlo simulation of pulse pile-up effect in gamma spectrum of a PGNAA system. Nucl. Instrum. Methods Phys. Res. Sect. A-Accel. Spectrom. Dect. Assoc. Equ., 660(1), 104–107. DOI: 10.1016/j.nima.2011.09.022.
  • 5. Naqvi, A. A., Garwan, M. A., Maslehuddin, M., Nagadi, M. M., Al-Amoudi, O. S., & Raashid, M. (2010).Response of a PGNAA setup for pozzolan-based cement concrete specimens. Appl. Radiat. Isot., 68(4/5), 635–638. DOI: 10.1016/j.apradiso.2009.09.016.
  • 6. Filho, T. M., de Lima, R. B., Yoriyaz, H., & Hernandes, A. C. (2005). Experimental and Monte Carlo evaluation of the neutron fl ux of an assembly with two AmBe sources. Radiat. Prot. Dosim., 115(1/4), 412–414. DOI: 10.1093/rpd/nci150.
  • 7. Tuo, X. G., Cheng, B., Mu, K. L., & Li, Z. (2008). Neural network-based matrix effect correction in EDXRF analysis. Nucl. Sci. Techol., 19(5), 278–281.
  • 8. Oliveira, C., Salgado, J., & Carvalho, F. G. (1997). Optimation of PGNAA instrument design for cement raw materials using the MCNP code. J. Radioanal. Nucl. Chem., 216(2), 191–198. DOI: 10.1007/BF02033777.
  • 9. Naqvi, A. A. (2003). A Monte Carlo comparison of PGNAA system performance using 252Cf neutrons, 2.8-MeV neutrons and 14-MeV neutrons. Nucl. Instrum. Methods Phys. Res. Sect. A-Accel. Spectrom. Dect. Assoc. Equ., 511(3), 400–407. DOI: 10.1016/s0168-9002(03)01949-1.
  • 10. Yang, J. B., Tuo, X. G., Mu, K. L., Yang, X. M., Cheng, Y., & Li, Z. (2008). Monte-Carlo simulation of pivotal parameters in on-line prompt gamma neutron activation analysis system. At. Energy Sci. Tech., 42(4), 329–332. (in Chinese).
  • 11. Yang, J. B., Tuo, X. G., Li, Z., Mu, K. L., Cheng, Y., & Mou, Y. (2010). MC simulation of a PGNAA system for on-line cement analysis. Nucl. Sci. Tech., 21(4), 221–226.
  • 12. Yang, J. B., Yang, Y. G., LI, Y. J., Tuo, X. G., Li, Z., Liu, M. Z., Cheng, Y., Mu, K. L., & Wang, L. (2012). Monte-Carlo simulation of cement neutron fi eld distribution characteristics in PGNAA. Nucl. Sci. Tech., 23(6), 337–343.
  • 13. Yang, J. B., Yang, Y. G., Li, Y. J., Tuo, X. G., Li, Z., Cheng, Y., Mou, Y. F., & Huang, W. Q. (2013). Prompt gamma neutron activation analysis for multielement measurement with series samples. Laser Phys. Lett., 10(5), 056002. DOI: 10.1088/1612-2011/10/5/056002.
  • 14. Yang, J. B., Tuo, X. G., Li, Z., Cheng, Y., Wang, L., Wang, H. H., Cai, B., & Liu, M. Z. (2013). Optimize design of a PGNAA for cement analysis using Monte Carlo simulation. Nucl. Technol., 184(2), 233–238. DOI: 10.13182/NT13-A22318.
  • 15. Yang, J. B., Liu, Z., Chang, K., & Li, R. (2017). Research on the self-absorption corrections for PGNAA of large samples. Eur. Phys. J. Plus, 132(2), 86. DOI: 10.1140/epjp/i2017-11380-5.
  • 16. Ren, J. Z., Yang, J. B., & Li, Z. (2018). Research on interaction between elements for PGNAA cement sample. Arab. J. Sci. Eng., 43(7), 3855–3860. DOI: 10.1007/s13369-018-3088-3.
  • 17. Yang, J. B., Peng, K. X., Qiao, Y. J., Zhang, C., Li, R., & Li, Z. (2018). Monte Carlo simulation of biological shielding parameters in PGNAA. Micro Nano. Lett., 13(4), 457–460. DOI: 10.1049/mnl.2017.0644.
  • 18. Zhang, H. Y. (2012). The study on the MCNP simulation of heavy metal content in soil by neutron and measure the content of plumbum in soil by neutron. Master thesis, Northeast Normal University, Changchun, China. (in Chinese).
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1b4f5945-2dad-4413-8324-7886dd9c5741
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