International Journal of Radiation Research

en Multivariate statistical analysis of 222Rn concentration in underground stations of a Chinese city Radiation Biology Radiation Biology تحقيق بديع Original Research <div style="text-align: justify;">Background: Underground transportation is increasingly becoming the preferred mode of daily commuting. However, radon can accumulate in the relatively enclosed underground environments of subway stations, posing ionizing radiation exposure risk for staff and the public. Therefore, monitoring and assessment are essential. Materials and Methods: An FD216 environmental radon measurement device was used to monitor the air radon concentrations in 66 underground stations in a Chinese city, including ticket offices, security checkpoints, and platforms. The personal exposure dose was estimated and potential health effects were evaluated. Multivariate statistical analysis was conducted and frequency distribution, Pearson correlation analysis, box plots, and cluster analysis were used to assess the distribution patterns and relationships among radiological parameters. Results: The 222Rn concentrations ranged from 20.1 to 78.4 Bq/m3, with an average of 51.5 Bq/m3, which is below the Chinese standard limit. The annual effective dose and excess lifetime cancer risk for underground station staff due to inhalation of indoor radon were 0.48 mSv and 1.69×10-3, respectively, compared to 0.12 mSv and 0.42×10-3 for the public, which are below the limits established by the International Commission on Radiological Protection. Radon levels within underground stations do not pose a threat to the health of people.</div> Radon, occupational exposure, radioactivity, multivariate analysis. 697 705 http://ijrr.com/browse.php?a_code=A-10-1-1386&slc_lang=en&sid=1 Y. Shi 7900319475328460031777 7900319475328460031777 No Harbin Engineering University, College of Physics and Optoelectronic Engineering, Key Laboratory of In-Fiber Integrated Optics of Ministry of Education, Harbin, China B. Ding 7900319475328460031778 7900319475328460031778 No Heilongjiang Institute of Atomic Energy, Key Laboratory of Nuclear Technology Application, Harbin, China J. Zhao 7900319475328460031779 7900319475328460031779 No Harbin Engineering University, College of Nuclear Science and Technology, Harbin, China Z. Liu 7900319475328460031780 7900319475328460031780 No Heilongjiang Institute of Atomic Energy, Key Laboratory of Nuclear Technology Application, Harbin, China L. Wang 7900319475328460031781 7900319475328460031781 No Heilongjiang Institute of Atomic Energy, Key Laboratory of Nuclear Technology Application, Harbin, China Sh. Wang 7900319475328460031782 7900319475328460031782 No Heilongjiang Institute of Atomic Energy, Key Laboratory of Nuclear Technology Application, Harbin, China H. Zhao zhaohongtao2019@163.com 7900319475328460031783 7900319475328460031783 Yes Harbin Engineering University, College of Physics and Optoelectronic Engineering, Key Laboratory of In-Fiber Integrated Optics of Ministry of Education, Harbin, China Y. Liu 7900319475328460031784 7900319475328460031784 No Harbin Engineering University, College of Physics and Optoelectronic Engineering, Key Laboratory of In-Fiber Integrated Optics of Ministry of Education, Harbin, China G. Wei 7900319475328460031785 7900319475328460031785 No Heilongjiang Institute of Atomic Energy, Key Laboratory of Nuclear Technology Application, Harbin, China P. Zhang 7900319475328460031786 7900319475328460031786 No Heilongjiang Institute of Atomic Energy, Key Laboratory of Nuclear Technology Application, Harbin, China