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Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
Published on: March 11, 2021
Monte Carlo simulation-based characteristics of indoor radon concentrations and exploratory probabilistic risk
Yuefei Ma1, Mingya Wang1, Decheng Qin1
1College of Resource and Environment, Henan Polytechnic University, Jiaozuo, 454003, China; Henan Provincial Engineering Research Center for Intelligent Monitoring and Management of the Water Environment, 454003, Jiaozuo, China.
Abstract:
This study systematically investigated the indoor radon concentration levels and their seasonal distribution characteristics in typical functional spaces at a university in Jiaozuo, China. This study exploratorily used the instantaneous electrostatic collection method to measure the air radon concentration at specific moments in various buildings for dose analysis, revealed the illusion of 'average safety' in traditional deterministic approaches. The results showed that spatially, student dormitory exhibited the highest annual average concentration (47 Bq·m-3), while laboratory building had the lowest (27 Bq·m-3). Temporally, radon concentrations followed a distinct seasonal pattern of winter > autumn > spring > summer. Temperature was identified as a key environmental factor influencing radon levels, showing a significant negative correlation with radon concentration overall. Although the average risk in all regions is lower than the acceptable level, there is a 5% chance that student dormitory will reach 2.4 times of the low-risk scenario (5% quantile). As an exploratory application, this study provides methodological insights for identifying high-risk populations and formulating targeted management strategies.
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