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Spatial variability of indoor air pollutants in schools. A multilevel approach

机译:学校室内空气污染物的空间变异性。多层次方法

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The measurement of indoor air pollutants and their health effects are less often studied due to the costs of collection of such data. We have analysed the variability in the measurement of five indoor school air pollutants: fine particulate matter of size ≤2.5 μm (PM_(2.5)), nitrogen dioxide (NO2), and three Volatile Organic Compounds (VOC), namely formaldehyde, acetaldehyde and acrolein, objectively measured over five days of a week at representative points in more than 400 classrooms of 109 schools and courtyards in six French cities spread out over the year. Separate 3-stage multilevel models were fitted to partition the different nested variance components (i.e., classroom, school and city levels), and intra-class correlation (ICC) coefficients were computed to bring out the similarities of pollutants' concentrations among these spatial units. The indoor PM_(2.5) and NO_2 concentrations showed a high degree of similarity (ICC coefficients equal to 76% and 81%, respectively) between the classrooms of a school (and city), whereas the formaldehyde, acetaldehyde and acrolein concentrations showed low to moderate degree of similarity (ICC coefficients equal to 25%, 36% and 57%, respectively) between the classrooms. We conclude that to investigate the impact of indoor air pollutants, a multilevel approach taking into account the full design of the study would be the most appropriate.
机译:由于收集此类数据的成本,很少研究室内空气污染物的测量及其对健康的影响。我们分析了五种室内学校空气污染物的测量变异性:≤2.5μm的细颗粒物(PM_(2.5)),二氧化氮(NO2)和三种挥发性有机化合物(VOC),即甲醛,乙醛和丙烯醛,客观地在一周的五天内在法国六个城市的109所学校和院子的400多个教室的代表点上进行了一年的测量。拟合了单独的三级多级模型,以划分不同的嵌套方差成分(即教室,学校和城市水平),并计算了类内相关性(ICC)系数,以得出这些空间单位之间污染物浓度的相似性。在学校(和城市)的教室之间,室内PM_(2.5)和NO_2的浓度显示出高度的相似性(ICC系数分别等于76%和81%),而甲醛,乙醛和丙烯醛的浓度则低至教室之间的相似度中等(ICC系数分别等于25%,36%和57%)。我们得出结论,要调查室内空气污染物的影响,考虑到整个研究设计的多层次方法将是最合适的。

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