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Factors Affecting Indoor Radon Concentrations of Greek Dwellings throughMultivariate Statistics - First Approach

机译:通过多元统计量影响希腊民居室内Rad浓度的因素-第一种方法

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A large scale nationwide radon survey was conducted in Greek dwellings between 1994 and 2000. Twelve hundred passive CR-39 detectors were distributed and collected along with 963 filled in questionnaires. These were rechecked during 2012-13 to evaluate factors that potentially affect indoor radon concentrations, namely the factors (i) area (environment), (ii) building level-floor, (iii) ground type, (iv) basement, (v) building type, (vi) construction year, (vii) building walls contact, (viii) wall materials and (ix) floor materials. The questionnaires were prepared by the research team according to international standards. One-way and multivariate statistical methods were applied for the analysis, in specific (I) Linear Regression Analysis, (II) One way or multiway ANOVA, (III) General MANOVA, (IV) Stepwise Regression Analysis and (V) Principal Components Analysis. The results revealed that approximately 0.1% of the dwellings exhibited outlier radon concentrations. Noteworthy statistical correlations were detected between the measured mean annual indoor radon concentration levels and the factors (ii) (building level-floor) and (viii) (wall materials). Weak evidence was provided for the corresponding correlation with the factors (v) (building type) and (vii) (building walls contact). Minor was the association with the factors (iv) (construction year) and (ix) (floor materials). Significant differences were detected in the results of the applied statistical methods.
机译:在1994年至2000年之间,对希腊人的住所进行了大规模的全国范围的ra调查。分发并收集了1200台无源CR-39探测器以及963份问卷。在2012-13年度对这些因素进行了重新检查,以评估可能影响室内ra浓度的因素,即因素(i)面积(环境),(ii)建筑物地面,(iii)地面类型,(iv)地下室,(v)建筑类型,(vi)建筑年份,(vii)建筑墙面接触,(viii)墙壁材料和(ix)地板材料。问卷由研究团队根据国际标准编写。分析采用单向和多变量统计方法,具体包括(I)线性回归分析,(II)单向或多向ANOVA,(III)通用MANOVA,(IV)逐步回归分析和(V)主成分分析。结果显示,约有0.1%的房屋表现出异常的ra浓度。在测得的室内年平均ra浓度水平与因素(ii)(建筑楼层)和(viii)(墙壁材料)之间发现了值得注意的统计相关性。提供了与因子(v)(建筑物类型)和(vii)(建筑物墙体接触)相关的弱证据。次要与因素(iv)(施工年份)和(ix)(地板材料)相关。在应用的统计方法的结果中检测到显着差异。

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