Lorenz Curve and Gini Coefficient: Novel tools for analysing seasonal variation of environmental radon gas
Lorenz Curve and Gini Coefficient: Novel tools for analysing seasonal variation of environmental radon gas
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DOI：
10.1016/j.jenvman.2009.01.003
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发表时间：
2009-06-01
影响因子：
8.7
通讯作者：
Phillips, P. S.
中科院分区：
文献类型：
--
作者：
Groves-Kirkby, C. J.;Denman, A. R.;Phillips, P. S.
利用经济学中的方法，引入洛伦茨曲线和基尼系数作为研究和量化环境氡气浓度季节变化的工具。洛伦茨曲线以图形方式显示了相关时间范围内（通常为一年）的累积暴露量，而基尼系数则进一步提炼了这一数据。以提供时间聚类的单参数测量。使用的假设，国内室内氡浓度表现出年度循环行为，一般在冬季高于夏季，国内氡浓度水平的季节性变化，在英国，欧洲，亚洲和北美的各个地区公布的数据进行了分析。结果表明，国内氡浓度在不同国家和一个国家内的区域之间的显着不同的年度变化概况，强调需要谨慎归因于季节性校正因子扩展的地理区域。一个地区的基本地理、地质和气象条件对室内氡浓度的季节性变化具有决定性的影响，并提出了基尼系数与区域地质和地理特征之间潜在联系的一些例子。土壤气氡测量作为一个功能的深度在一个共同的网站，并在某些氡子体物种，特别是Bi-214沉积优先在人体脂肪的衰变吸入的氡气的活性水平之间的年度变化的配置文件中发现类似的差异。这些观察到的变化和潜在的基本定义参数之间的关联的结论。(C)2009爱思唯尔有限公司版权所有。
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 Bi-214 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. (C) 2009 Elsevier Ltd. All rights reserved.