Duke University, Civil and Environmental Engineering, 121 Hudson Hall, Box 90287, Durham, NC, 27708, USA.
Duke University, Nicholas School of the Environment, 9 Circuit Dr, Durham, NC, 27710, USA.
J Expo Sci Environ Epidemiol. 2020 Nov;30(6):971-980. doi: 10.1038/s41370-020-00266-5. Epub 2020 Sep 22.
In highly polluted urban areas, personal exposure to PM and O occur daily in various microenvironments. Identifying which microenvironments contribute most to exposure can pinpoint effective exposure reduction strategies and mitigate adverse health impacts.
This work uses real-time sensors to assess the exposures of children with asthma (N = 39) in Shanghai, quantifying microenvironmental exposure to PM and O. An air cleaner was deployed in participants' bedrooms where we hypothesized exposure could be most efficiently reduced. Monitoring occurred for two 48-h periods: one with bedroom filtration (portable air cleaner with HEPA and activated carbon filters) and the other without.
Children spent 91% of their time indoors with the majority spent in their bedroom (47%). Without filtration, the bedroom and classroom environments were the largest contributors to PM exposure. With filtration, bedroom PM exposure was reduced by 75% (45% of total exposure). Although filtration status did not impact O, the largest contribution of O exposure also came from the bedroom.
Actions taken to reduce bedroom PM and O concentrations can most efficiently reduce total exposure. As real-time pollutant monitors become more accessible, similar analyses can be used to evaluate new interventions and optimize exposure reductions for a variety of populations.
在污染严重的城市地区,人们每天在各种微环境中都会受到 PM 和 O 的个人暴露。确定哪些微环境对暴露的贡献最大,可以确定有效的暴露减少策略,并减轻对健康的不利影响。
本研究使用实时传感器评估上海哮喘儿童(N=39)的暴露情况,量化 PM 和 O 的微环境暴露。在参与者的卧室中部署了空气净化器,我们假设在卧室中可以最有效地减少暴露。监测进行了两个 48 小时的周期:一个周期带有卧室过滤(带有高效空气过滤器和活性炭过滤器的便携式空气净化器),另一个周期没有。
儿童 91%的时间都在室内度过,其中大部分时间都在卧室(47%)。没有过滤时,卧室和教室环境是 PM 暴露的最大贡献者。有过滤时,卧室 PM 暴露减少了 75%(占总暴露的 45%)。虽然过滤状态对 O 没有影响,但 O 暴露的最大贡献也来自卧室。
采取措施减少卧室 PM 和 O 浓度可以最有效地减少总暴露。随着实时污染物监测器变得更加普及,可以使用类似的分析来评估新的干预措施,并为各种人群优化暴露减少。