Institute for Environmental Design and Engineering, Bartlett School of Energy, Environment and Resources, University College London, UK; Air Quality and Public Health Group, UK Health Security Agency, Harwell Science and Innovation Campus, Chilton, UK.
Department of Civil Engineering, Tampere University, Finland.
Sci Total Environ. 2023 Dec 20;905:167056. doi: 10.1016/j.scitotenv.2023.167056. Epub 2023 Sep 16.
Exposure to air pollution can lead to negative health impacts, with children highly susceptible due to their immature immune and lung systems. Childhood exposure may vary by socio-economic status (SES) due to differences in both outdoor and indoor air pollution levels, the latter of which depends on, for example, building quality, overcrowding and occupant behaviours; however, exposure estimates typically rely on the outdoor component only. Quantifying population exposure across SES requires accounting for variations in time-activity patterns, outdoor air pollution concentrations, and concentrations in indoor microenvironments that account for pollution-generating occupant behaviours and building characteristics. Here, we present a model that estimates personal exposure to PM for ~1.3 million children aged 4-16 years old in the Greater London region from different income groups. The model combines 1) A national time-activity database, which gives the percentage of each group in different residential and non-residential microenvironments throughout a typical day; 2) Distributions of modelled outdoor PM concentrations; 3) Detailed estimates of domestic indoor concentrations for different housing and occupant typologies from the building physics model, EnergyPlus, and; 4) Non-domestic concentrations derived from a mass-balance approach. The results show differences in personal exposure across socio-economic groups for children, where the median daily exposure across all scenarios (winter/summer and weekends/weekdays) is 17.2 μg/m (95%CIs: 12.1 μg/m-41.2 μg/m) for children from households in the lowest income quintile versus 14.5 μg/m (95%CIs: 11.5 μg/m - 27.9 μg/m) for those in the highest income quintile. Though those from lower-income homes generally fare worse, approximately 57 % of London's school-aged population across all income groups, equivalent to 761,976 children, have a median daily exposure which exceeds guideline 24-h limits set by the World Health Organisation. The findings suggest residential indoor sources of PM are a large contributor to personal exposure for school children in London. Interventions to reduce indoor exposure in the home (for example, via the maintenance of kitchen extract ventilation and transition to cleaner cooking fuels) should therefore be prioritised along with the continued mitigation of outdoor sources in Greater London.
暴露在空气污染下会对健康产生负面影响,儿童由于其不成熟的免疫系统和肺部系统,因此极易受到影响。由于户外和室内空气污染水平的差异,儿童在社会经济地位(SES)方面的暴露情况可能有所不同,而后者取决于建筑物质量、过度拥挤和居住者行为等因素;然而,暴露估计通常仅依赖于户外成分。要量化整个 SES 人群的暴露情况,需要考虑到时间活动模式、户外空气污染浓度以及室内微环境浓度的变化,这些浓度反映了产生污染的居住者行为和建筑物特征。在这里,我们提出了一个模型,该模型可以估算大伦敦地区不同收入群体中 130 万 4-16 岁儿童的 PM 个人暴露量。该模型结合了以下因素:1)全国时间活动数据库,其中给出了每个群体在典型一天中不同居住和非居住微环境中的百分比;2)建模的户外 PM 浓度分布;3)来自建筑物物理模型 EnergyPlus 的不同住房和居住者类型的详细室内浓度估计值;4)从质量平衡方法得出的非住宅浓度。研究结果表明,不同社会经济群体的儿童个人暴露情况存在差异,在所有情景(冬季/夏季和周末/工作日)下,来自收入最低五分位数家庭的儿童的日平均暴露量中位数为 17.2μg/m(95%CI:12.1μg/m-41.2μg/m),而来自收入最高五分位数家庭的儿童的日平均暴露量中位数为 14.5μg/m(95%CI:11.5μg/m-27.9μg/m)。尽管来自低收入家庭的儿童情况往往更糟,但伦敦所有收入群体中约有 57%的学龄儿童,相当于 761976 名儿童,其日平均暴露量超过了世界卫生组织设定的 24 小时指导限值。研究结果表明,住宅室内 PM 来源是伦敦学童个人暴露的一个主要因素。因此,应优先考虑减少家庭室内暴露的干预措施(例如,通过维护厨房抽油烟机和过渡到更清洁的烹饪燃料),同时继续减轻大伦敦地区的户外来源。