Crist Kevin C, Liu Bian, Kim Myoungwoo, Deshpande Seemantini R, John Kuruvilla
Air Quality Center, Department of Chemical Engineering, Ohio University, 177 Stocker Center, Athens, OH 45701, USA.
Environ Res. 2008 Jan;106(1):62-71. doi: 10.1016/j.envres.2007.06.008. Epub 2007 Aug 31.
Ambient, indoor, and personal PM2.5 concentrations were assessed based on an exhaustive study of PM2.5 performed in Ohio from 1999 to 2000. Locations in Columbus, one in an urban corridor and the other in a suburban area were involved. A third rural location in Athens, Ohio, was also established. At all three locations, elementary schools were utilized to determine outdoor, indoor, and personal PM2.5 concentrations for fourth and fifth grade students using filter-based measurements. Three groups of 30 students each were used for personal sampling at each school. Continuous ambient PM2.5 mass concentrations were also measured with tapered element oscillating microbalances (TEOMs). At all three sites, personal and indoor PM2.5 concentrations exceeded outdoor levels. This trend is consistent on all week days and most evident in the spring as compared to fall and winter. The ambient PM2.5 concentrations were similar among the three sites, suggesting the existence of a common regional source influence. At all the three sites, larger variations were found in personal and indoor PM2.5 than ambient levels. The strongest correlations were found between indoor and personal concentrations, indicating that personal PM2.5 exposures were significantly affected by indoor PM2.5 than by ambient PM2.5. This was further confirmed by the indoor to outdoor (I/O) ratios of PM2.5 concentrations, which were greater when school was in session than non-school days when the students were absent.
基于1999年至2000年在俄亥俄州对细颗粒物(PM2.5)进行的详尽研究,评估了环境、室内和个人的PM2.5浓度。研究涉及哥伦布市的两个地点,一个位于城市走廊,另一个位于郊区。此外,还在俄亥俄州雅典市设立了第三个农村地点。在所有这三个地点,利用小学通过基于过滤器的测量方法来确定四年级和五年级学生的室外、室内和个人PM2.5浓度。每所学校每组30名学生,共三组用于个人采样。还使用锥形元件振荡微天平(TEOMs)测量连续的环境PM2.5质量浓度。在所有三个地点,个人和室内的PM2.5浓度均超过室外水平。这种趋势在所有工作日都一致,并且与秋季和冬季相比,在春季最为明显。三个地点的环境PM2.5浓度相似,表明存在共同的区域源影响。在所有三个地点,个人和室内PM2.5的变化比环境水平更大。室内和个人浓度之间的相关性最强,表明个人PM2.5暴露受室内PM2.5的影响明显大于受环境PM2.5的影响。PM2.5浓度的室内与室外(I/O)比值进一步证实了这一点,上课期间的比值高于学生不在校的非上课日。