Wallace Lance A, Mitchell Herman, O'Connor George T, Neas Lucas, Lippmann Morton, Kattan Meyer, Koenig Jane, Stout James W, Vaughn Ben J, Wallace Dennis, Walter Michelle, Adams Ken, Liu Lee-Jane Sally
U.S. Environmental Protection Agency, Reston, Virginia 20191-4471, USA.
Environ Health Perspect. 2003 Jul;111(9):1265-72. doi: 10.1289/ehp.6135.
Inner-city children have high rates of asthma. Exposures to particles, including allergens, may cause or exacerbate asthma symptoms. As part of an epidemiologic study of inner-city children with asthma, continuous (10-min average) measurements of particle concentrations were made for 2-week periods in 294 homes drawn from seven cities. Measurements were made using an optical scattering device that is most sensitive to fine particles. The concentrations recorded by these devices were corrected to agree with colocated outdoor gravimetric PM2.5 monitors. Indoor concentrations in the homes averaged 27.7 (standard deviation = 35.9) micro g/m3, compared with concurrent outdoor concentrations of 13.6 (7.5) micro g/m3. A multivariate model indicated that outdoor particles penetrated indoors with an efficiency of 0.48 and were therefore responsible for only 25% of the mean indoor concentration. The major indoor source was smoking, which elevated indoor concentrations by 37 micro g/m3 in the 101 homes with smokers. Other significant sources included frying, smoky cooking events, use of incense, and apartment housing, although the increases due to these events ranged only from 3 to 6 micro g/m3. The 10-min averaging time allowed calculation of an average diurnal variation, showing large increases in the evening due to smoking and smaller increases at meal times due to cooking. Most of the observed variance in indoor concentrations was day to day, with roughly similar contributions to the variance from visit to visit and home to home within a city and only a small contribution made by variance among cities. The small variation among cities and the similarity across cities of the observed indoor air particle distributions suggest that sources of indoor concentrations do not vary considerably from one city to the next, and thus that simple models can predict indoor air concentrations in cities having only outdoor measurements.
市中心区的儿童哮喘发病率很高。接触包括过敏原在内的颗粒物可能会引发或加重哮喘症状。作为一项针对市中心区哮喘儿童的流行病学研究的一部分,在来自七个城市的294户家庭中,连续两周(平均10分钟)测量颗粒物浓度。测量使用的是对细颗粒物最敏感的光学散射装置。这些装置记录的浓度经过校正,以与并置的室外重量法PM2.5监测仪的数据一致。家庭室内浓度平均为27.7(标准差 = 35.9)微克/立方米,而同期室外浓度为13.6(7.5)微克/立方米。一个多变量模型表明,室外颗粒物进入室内的效率为0.48,因此仅占室内平均浓度的25%。主要的室内来源是吸烟,在有吸烟者的101户家庭中,吸烟使室内浓度升高了37微克/立方米。其他重要来源包括油炸、烟熏烹饪活动、焚香以及公寓住房,不过这些活动导致的浓度增加仅在3至6微克/立方米之间。10分钟的平均时间使得能够计算出平均日变化情况,结果显示晚上因吸烟导致浓度大幅上升,用餐时间因烹饪导致浓度小幅上升。观察到的室内浓度的大部分差异是每日之间的,在一个城市内每次访问和每户家庭之间对差异的贡献大致相似,而城市之间的差异贡献很小。城市之间的微小差异以及观察到的室内空气颗粒物分布在各城市的相似性表明,室内浓度的来源在不同城市之间变化不大,因此简单模型可以预测仅进行室外测量的城市中的室内空气浓度。