College of Environmental Science and Engineering, Nankai University, Tianjin, China.
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, China.
J Expo Sci Environ Epidemiol. 2014 Jul;24(4):428-36. doi: 10.1038/jes.2014.28. Epub 2014 May 7.
Many studies have focused on the relationships of particulate matter between indoor, outdoor and personal exposure; however, considerable uncertainties remain regarding the portion of indoor particles and personal exposure of ambient origin. As part of the Particle Exposure Assessment for Community Elderly (PEACE) study in Tianjin, China, we have further interpreted the relationships between personal, residential indoor, outdoor and community PM10 (particulate matter with aerodynamic diameters of less than 10 μm). Comparisons of the chemical compositions of PM10 samples were performed using the coefficient of divergence (COD). A robust regression method, least-trimmed squared (LTS) regression, was used to estimate the infiltration factors of PM10 from residential outdoor to indoor environments based on the particulate component concentrations. Personal exposures of ambient origin were also estimated. A relatively good correlation was found between the personal and indoor PM10 samples with respect to chemical composition. The infiltration factors (Finf) of the residential indoor-outdoor PM10 were 0.74±0.31 (mean±SD) in summer and 0.44±0.22 in winter, with medians of 0.98 and 0.48, respectively. The residential outdoor contributions to the indoor environments were 87±55 μg/m(3) in summer and 80±54 μg/m(3) in winter, with medians of 75 μg/m(3) and 61 μg/m(3), respectively. The personal exposures of ambient origin were 92±44 μg/m(3) in summer and 89±47 μg/m(3) in winter, with medians of 81 μg/m(3) and 80 μg/m(3), respectively. This study indicated that the infiltrations in an urbanized area in North China exhibited a seasonal difference: the residential outdoor contributions to residential indoor environments were larger in summer due to the higher use of natural ventilation. The personal exposures of ambient origin were comparable during the different seasons, whereas those of non-ambient origin were higher in summer than in winter.
许多研究都集中在室内、室外和个人暴露之间的颗粒物关系上;然而,关于室内颗粒物的部分和环境源的个人暴露仍存在相当大的不确定性。作为中国天津社区老年人颗粒物暴露评估研究(PEACE)的一部分,我们进一步解释了个人、住宅室内、室外和社区 PM10(空气动力学直径小于 10μm 的颗粒物)之间的关系。使用散度系数(COD)比较了 PM10 样品的化学成分。基于颗粒物成分浓度,使用最小修剪平方(LTS)回归估计了 PM10 从住宅室外到室内环境的渗透因子。还估计了环境源的个人暴露。个人和室内 PM10 样品在化学成分方面存在相对较好的相关性。夏季住宅室内外 PM10 的渗透因子(Finf)为 0.74±0.31(平均值±标准差),冬季为 0.44±0.22,中位数分别为 0.98 和 0.48。夏季住宅室外对室内环境的贡献为 87±55μg/m3,冬季为 80±54μg/m3,中位数分别为 75μg/m3 和 61μg/m3。环境源的个人暴露在夏季为 92±44μg/m3,冬季为 89±47μg/m3,中位数分别为 81μg/m3 和 80μg/m3。本研究表明,华北城市化地区的渗透作用存在季节性差异:由于自然通风的使用增加,夏季住宅室外对住宅室内环境的贡献较大。不同季节的环境源个人暴露量相当,而非环境源的个人暴露量夏季高于冬季。