School of Public Health, University of Memphis, Memphis, TN 38152, USA.
Environ Pollut. 2012 Oct;169:152-9. doi: 10.1016/j.envpol.2011.09.024. Epub 2011 Oct 11.
This study examines concentrations of volatile organic compounds (VOCs) measured inside and outside of 162 residences in southeast Michigan, U.S.A. Nested analyses apportioned four sources of variation: city, residence, season, and measurement uncertainty. Indoor measurements were dominated by seasonal and residence effects, accounting for 50 and 31%, respectively, of the total variance. Contributions from measurement uncertainty (<20%) and city effects (<10%) were small. For outdoor measurements, season, city and measurement variation accounted for 43, 29 and 27% of variance, respectively, while residence location had negligible impact (<2%). These results show that, to obtain representative estimates of indoor concentrations, measurements in multiple seasons are required. In contrast, outdoor VOC concentrations can use multi-seasonal measurements at centralized locations. Error models showed that uncertainties at low concentrations might obscure effects of other factors. Variance component analyses can be used to interpret existing measurements, design effective exposure studies, and determine whether the instrumentation and protocols are satisfactory.
本研究考察了美国密歇根州东南部 162 处住宅内外挥发性有机化合物 (VOC) 的浓度。嵌套分析分配了四个变化源:城市、住宅、季节和测量不确定性。室内测量主要受季节性和住宅效应的影响,分别占总方差的 50%和 31%。测量不确定性(<20%)和城市效应(<10%)的贡献较小。对于室外测量,季节、城市和测量变化分别占方差的 43%、29%和 27%,而住宅位置的影响可以忽略不计(<2%)。这些结果表明,为了获得室内浓度的代表性估计,需要在多个季节进行测量。相比之下,室外 VOC 浓度可以在集中地点使用多季节测量。误差模型表明,低浓度下的不确定性可能会掩盖其他因素的影响。方差分量分析可用于解释现有测量结果、设计有效的暴露研究以及确定仪器和方案是否令人满意。