Groves-Kirkby C J, Denman A R, Phillips P S
Medical Physics Department, Northampton General Hospital, Northampton, UK.
J Environ Manage. 2009 Jun;90(8):2480-7. doi: 10.1016/j.jenvman.2009.01.003. Epub 2009 Feb 23.
Using a methodology derived from Economics, the Lorenz Curve and Gini Coefficient are introduced as tools for investigating and quantifying seasonal variability in environmental radon gas concentration. While the Lorenz Curve presents a graphical view of the cumulative exposure during the course of the time-frame of interest, typically one year, the Gini Coefficient distils this data still further, to provide a single-parameter measure of temporal clustering. Using the assumption that domestic indoor radon concentrations show annual cyclic behaviour, generally higher in the winter months than in summer, published data on seasonal variability of domestic radon concentration levels, in various areas of the UK, Europe, Asia and North America, are analysed. The results demonstrate significantly different annual variation profiles between domestic radon concentrations in different countries and between regions within a country, highlighting the need for caution in ascribing seasonal correction factors to extended geographical areas. The underlying geography, geology and meteorology of a region have defining influences on the seasonal variability of domestic radon concentration, and some examples of potential associations between the Gini Coefficient and regional geological and geographical characteristics are proposed. Similar differences in annual variation profiles are found for soil-gas radon measured as a function of depth at a common site, and among the activity levels of certain radon progeny species, specifically (214)Bi deposited preferentially in human body-fat by decay of inhaled radon gas. Conclusions on the association between these observed measures of variation and potential underlying defining parameters are presented.
利用源自经济学的一种方法,引入洛伦兹曲线和基尼系数作为调查和量化环境氡气浓度季节变化的工具。洛伦兹曲线呈现了在感兴趣的时间范围内(通常为一年)累积暴露的图形视图,而基尼系数则进一步提炼这些数据,以提供时间聚类的单参数度量。基于国内室内氡浓度呈现年度周期性行为(冬季月份通常高于夏季)这一假设,分析了英国、欧洲、亚洲和北美不同地区已发表的关于国内氡浓度水平季节变化的数据。结果表明,不同国家的国内氡浓度之间以及一个国家内不同地区之间的年度变化曲线存在显著差异,这突出了在将季节校正因子应用于广大地理区域时需谨慎的必要性。一个地区的基础地理、地质和气象条件对国内氡浓度的季节变化具有决定性影响,并提出了基尼系数与区域地质和地理特征之间潜在关联的一些示例。在一个共同地点,作为深度函数测量的土壤气氡以及某些氡子体物种(特别是通过吸入氡气衰变优先沉积在人体脂肪中的(214)Bi)的活度水平,也发现了类似的年度变化曲线差异。给出了关于这些观察到的变化度量与潜在基础定义参数之间关联的结论。