J Air Waste Manag Assoc. 2014 Aug;64(8):945-56. doi: 10.1080/10962247.2014.894483.
The PM10, PM2.5, and PM1 (particulate matter with aerodynamic diameters < 10, < 2.5, and < 1 microm, respectively) concentrations were monitored over a 90-day period in a naturally ventilated school building located at roadside in Chennai City. The 24-hr average PM10, PM2.5, and PM1 concentrations at indoor and outdoor environments were found to be 136 +/- 60, 36 +/- 15, and 20 +/- 12 and 76 +/- 42, 33 +/- 16, and 23 +/- 14 microg/m3, respectively. The size distribution of PM in the classroom indicated that coarse mode was dominant during working hours (08:00 a.m. to 04:00 p.m.), whereas fine mode was dominant during nonworking hours (04:00 p.m. to 08:00 a.m.). The increase in coarser particles coincided with occupant activities in the classrooms and finer particles were correlated with outdoor traffic. Analysis of indoor PM10, PM2.5, and PM1 concentrations monitored at another school, which is located at urban reserved forest area (background site) indicated 3-4 times lower PM10 concentration than the school located at roadside. Also, the indoor PM1 and PM2.5 concentrations were 1.3-1.5 times lower at background site. Further, a mass balance indoor air quality (IAQ) model was modified to predict the indoor PM concentration in the classroom. Results indicated good agreement between the predicted and measured indoor PM2.5 (R2 = 0.72-0.81) and PM1 (R2 = 0.81-0.87) concentrations. But, the measured and predicted PM10 concentrations showed poor correlation (R2 = 0.17-0.23), which may be because the IAQ model could not take into account the sudden increase in PM10 concentration (resuspension of large size particles) due to human activities. Implications: The present study discusses characteristics of the indoor coarse and fine PM concentrations of a naturally ventilated school building located close to an urban roadway and at a background site in Chennai City, India. The study results will be useful to engineers and policymakers to prepare strategies for improving the IAQ inside classrooms. Further, this study may help in the development of IAQ standards and guidelines in India.
在钦奈市的一个位于路边的自然通风的学校建筑中,监测了为期 90 天的 PM10、PM2.5 和 PM1(空气动力学直径分别小于 10、<2.5 和 <1 微米的颗粒物)浓度。室内和室外环境中 24 小时平均 PM10、PM2.5 和 PM1 浓度分别为 136 ± 60、36 ± 15 和 20 ± 12 μg/m3 和 76 ± 42、33 ± 16 和 23 ± 14 μg/m3。教室中 PM 的粒度分布表明,工作时间(上午 8:00 至下午 4:00)以粗模态为主,而非工作时间(下午 4:00 至上午 8:00)以细模态为主。较粗颗粒的增加与教室中人员活动相吻合,而细颗粒与室外交通有关。在另一个位于城市保留森林区(背景地点)的学校监测到的室内 PM10、PM2.5 和 PM1 浓度分析表明,其 PM10 浓度比位于路边的学校低 3-4 倍。此外,背景地点的室内 PM1 和 PM2.5 浓度分别低 1.3-1.5 倍。此外,还修改了室内空气质量(IAQ)质量平衡模型以预测教室中的室内 PM 浓度。结果表明,预测的和测量的室内 PM2.5(R2 = 0.72-0.81)和 PM1(R2 = 0.81-0.87)浓度之间具有良好的一致性。但是,测量的和预测的 PM10 浓度相关性较差(R2 = 0.17-0.23),这可能是因为 IAQ 模型无法考虑由于人类活动引起的 PM10 浓度(大尺寸颗粒的再悬浮)的突然增加。影响:本研究讨论了位于印度钦奈市城市道路附近和背景地点的自然通风学校建筑的室内粗和细 PM 浓度的特征。研究结果将有助于工程师和决策者制定改善教室室内空气质量的策略。此外,这项研究可能有助于在印度制定室内空气质量标准和指南。