Park Ji Hyun, Whang Sungim, Lee Hyun Young, Lee Cheol-Min, Kang Dae Ryong
Department of Mathematics, Ajou University, Suwon, Korea.
Department of Statistics, Clinical Trial Center, Ajou University Medical Center, Suwon, Korea.
Environ Health Toxicol. 2018 Jan 8;33(1):e2018003. doi: 10.5620/eht.e2018003. eCollection 2018.
Radon, the primary constituent of natural radiation, is the second leading environmental cause of lung cancer after smoking. To confirm a relationship between indoor radon exposure and lung cancer, estimating cumulative levels of exposure to indoor radon for an individual or population is necessary. This study sought to develop a model for estimate indoor radon concentrations in Korea. Especially, our model and method may have wider application to other residences, not to specific site, and can be used in situations where actual measurements for input variables are lacking. In order to develop a model, indoor radon concentrations were measured at 196 ground floor residences using passive alpha-track detectors between January and April 2016. The arithmetic mean (AM) and geometric mean (GM) means of indoor radon concentrations were 117.86±72.03 and 95.13±2.02 Bq/m, respectively. Questionnaires were administered to assess the characteristics of each residence, the environment around the measuring equipment, and lifestyles of the residents. Also, national data on indoor radon concentrations at 7643 detached houses for 2011-2014 were reviewed to determine radon concentrations in the soil, and meteorological data on temperature and wind speed were utilized to approximate ventilation rates. The estimated ventilation rates and radon exhalation rates from the soil varied from 0.18 to 0.98/hr (AM, 0.59±0.17/hr) and 326.33 to 1392.77 Bq/m/hr (AM, 777.45±257.39; GM, 735.67±1.40 Bq/m/hr), respectively. With these results, the developed model was applied to estimate indoor radon concentrations for 157 residences (80% of all 196 residences), which were randomly sampled. The results were in better agreement for Gyeonggi and Seoul than for other regions of Korea. Overall, the actual and estimated radon concentrations were in better agreement, except for a few low-concentration residences.
氡是自然辐射的主要成分,是仅次于吸烟的第二大导致肺癌的环境因素。为了证实室内氡暴露与肺癌之间的关系,有必要估计个体或人群的室内氡累积暴露水平。本研究旨在开发一个估算韩国室内氡浓度的模型。特别是,我们的模型和方法可能更广泛地应用于其他住宅,而非特定场所,并且可用于缺乏输入变量实际测量值的情况。为了开发一个模型,于2016年1月至4月期间使用被动式α径迹探测器在196个底层住宅中测量了室内氡浓度。室内氡浓度的算术平均值(AM)和几何平均值(GM)分别为117.86±72.03和95.13±2.02贝克勒尔/立方米。发放了调查问卷以评估每个住宅的特征、测量设备周围的环境以及居民的生活方式。此外,查阅了2011 - 2014年7643栋独立住宅的全国室内氡浓度数据以确定土壤中的氡浓度,并利用温度和风速的气象数据来估算通风率。估算的通风率和土壤中的氡析出率分别在0.18至0.98次/小时(AM,0.59±0.17次/小时)和326.33至1392.77贝克勒尔/平方米·小时(AM, 777.45±257.39;GM, 735.67±1.40贝克勒尔/平方米·小时)之间。基于这些结果,将所开发的模型应用于估算随机抽取的157个住宅(占全部196个住宅的80%)的室内氡浓度。结果显示,京畿道和首尔地区的实际值与估算值的一致性比韩国其他地区更好。总体而言,除了少数低浓度住宅外,实际氡浓度与估算值的一致性较好。