Division of Environment and Sustainability, The Hong Kong University of Science and Technology, Hong Kong, China.
Department of Civil, Construction and Environmental Engineering, North Carolina State University, Raleigh, NC, USA.
Indoor Air. 2021 Jan;31(1):170-187. doi: 10.1111/ina.12725. Epub 2020 Sep 5.
School-age children are particularly susceptible to exposure to air pollutants. To quantify factors affecting children's exposure at school, indoor and outdoor microenvironmental air pollutant concentrations were measured at 32 selected primary and secondary schools in Hong Kong. Real-time PM , PM , NO and O concentrations were measured in 76 classrooms and 23 non-classrooms. Potential explanatory factors related to building characteristics, ventilation practice, and occupant activities were measured or recorded. Their relationship with indoor measured concentrations was examined using mixed linear regression models. Ten factors were significantly associated with indoor microenvironmental concentrations, together accounting for 74%, 61%, 46%, and 38% of variations observed for PM , PM , O and NO microenvironmental concentrations, respectively. Outdoor concentration is the single largest predictor for indoor concentrations. Infiltrated outdoor air pollution contributes to 90%, 70%, 75%, and 50% of PM , PM , O and NO microenvironmental concentrations, respectively, in classrooms during school hours. Interventions to reduce indoor microenvironmental concentrations can be prioritized in reducing ambient air pollution and infiltration of outdoor pollution. Infiltration factors derived from linear regression models provide useful information on outdoor infiltration and help address the gap in generalizable parameter values that can be used to predict school microenvironmental concentrations.
学龄儿童特别容易接触到空气污染物。为了量化影响儿童在校暴露的因素,在香港 32 所小学和中学测量了室内和室外微观环境空气污染物浓度。在 76 间教室和 23 间非教室测量了实时 PM 、PM 、NO 和 O 浓度。测量或记录了与建筑特点、通风实践和居住者活动有关的潜在解释因素。使用混合线性回归模型检查它们与室内测量浓度的关系。有 10 个因素与室内微观环境浓度显著相关,分别解释了 PM 、PM 、O 和 NO 微观环境浓度变化的 74%、61%、46%和 38%。室外浓度是室内浓度的唯一最大预测因子。在上课时间,渗透到室内的室外空气污染分别占教室中 PM 、PM 、O 和 NO 微观环境浓度的 90%、70%、75%和 50%。减少室内微观环境浓度的干预措施可以优先考虑减少环境空气污染和室外污染的渗透。线性回归模型得出的渗透因素提供了有关室外渗透的有用信息,并有助于解决通用参数值的差距,这些参数值可用于预测学校微观环境浓度。