Department of Earth and Environmental Sciences, University of Texas, Arlington, TX, USA.
Department of Civil and Environmental Engineering, University of California, Davis, CA, USA.
Indoor Air. 2021 May;31(3):693-701. doi: 10.1111/ina.12759. Epub 2020 Oct 23.
The determinants of the temporal variability of indoor dust concentrations of semivolatile organic compounds (SVOCs) remain mostly unexplored. We examined temporal variability of dust concentrations and factors affecting dust concentrations for a wide range of SVOCs. We collected dust samples three times from 29 California homes during a period of 22 months and quantified concentrations of 47 SVOCs in 87 dust samples. We computed intraclass correlation coefficients (ICCs) using three samples collected within the same house. We calculated correlation coefficients (r) between two seasons with similar climate (spring and fall) and between two seasons with opposite climate (summer and winter). Among 26 compounds that were detected in more than 50% of the samples at all three visits, 20 compounds had ICCs above 0.50 and 6 compounds had ICCs below 0.50. For 19 out of 26 compounds, correlation coefficients between spring and fall (r = 0.48-0.98) were higher than those between summer and winter (r = 0.09-0.92), implying seasonal effects on dust concentrations. Our study showed that within-home temporal variability of dust concentrations was small (ICC > 0.50) for most SVOCs, but dust concentrations may vary over time for some SVOCs with seasonal variations in source rates, such as product use.
室内灰尘中半挥发性有机化合物(SVOCs)浓度的时间变异性的决定因素在很大程度上仍未得到探索。我们研究了 SVOCs 广泛范围内的灰尘浓度的时间变异性以及影响灰尘浓度的因素。在 22 个月的时间内,我们从加利福尼亚州的 29 所房屋中采集了三次灰尘样本,并在 87 个灰尘样本中对 47 种 SVOCs 的浓度进行了量化。我们使用在同一所房屋中采集的三个样本计算了组内相关系数(ICC)。我们计算了两个具有相似气候(春季和秋季)的季节之间以及两个具有相反气候(夏季和冬季)的季节之间的相关系数(r)。在所采集的三个样本中,有 26 种化合物在超过 50%的样本中被检测到,其中 20 种化合物的 ICC 值大于 0.50,6 种化合物的 ICC 值小于 0.50。在所研究的 26 种化合物中,有 19 种化合物的春季和秋季之间的相关系数(r=0.48-0.98)高于夏季和冬季之间的相关系数(r=0.09-0.92),这意味着灰尘浓度存在季节性影响。我们的研究表明,对于大多数 SVOCs,室内灰尘浓度的时间变异性较小(ICC>0.50),但对于某些 SVOCs,其浓度可能会随着时间的推移而变化,这与源排放率的季节性变化有关,例如产品使用。