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Evaluation of PM2.5 Exposures for an Environmental Justice 1Community Using a Low-Cost PM Sensor

机译:使用低成本PM传感器评估环境正义1社区的PM2.5暴露

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As low-cost air sensors become readily available, communities have opportunities to collect air quality and exposure data to improve their knowledge and contribute to environmental health research and policy decisions. Citizen scientists in Globeville, Elyria Swansea (GES), an environmental justice community in Denver, with help of researchers, conducted air quality and exposure measurements for PM2.5 in the Summer and Fall of 2018. RTI MicroPEM sensors were placed at 12 sites within the community as a neighborhood-scale sensor network, including near-road sites (NRS) collocated with reference monitors. Nineteen citizens measured their exposures wearing MicroPEM and completed time-activity diaries for two 72-hour monitoring periods. MicroPEMs data were highly accurate (>90%) after adjustment using filter-based gravimetric data and correcting temperature-associated bias. Ambient PM2.5 data showed variability with up to 3 times difference between site pairs. We observed up to 2.5 times higher PM2.5 levels in Summer. The temporal measurements among the most sites were highly correlated with NRS data (r > 0.7), suggesting a large influence of traffic on the community air quality. However, few sites such as parks showed a significant difference from NRS during weekends. Individual's personal exposure levels varied by day, influenced by activity types. Real-time peak concentrations matched with participant-reported exposure events such as proximity to combustion sources and cleaning. On average, personal PM2.5 exposures were higher than the nearby ambient sensor measurement and lower than the NRS. However, for the individuals with high exposure events, the personal levels were 6-24 times higher than nearby ambient sensor levels. This study shows the value of low-cost sensors in assessing the spatial and temporal variabilities of air quality and the degrees of exposure measurement error, which is critical for accurate epidemiologic models. Additionally, the sensors are useful tools for behavioral intervention to reduce air pollution exposure. EPA Grant Number: RD83618701
机译:随着低成本空气传感器的问世,社区就有机会收集空气质量和暴露数据,以提高他们的知识水平,并为环境健康研究和政策决策做出贡献。丹佛市环境正义社区Elyria Swansea(GES)的Globescience的公民科学家在研究人员的帮助下于2018年夏季和秋季对PM2.5进行了空气质量和暴露测量。社区作为邻里规模的传感器网络,包括与参考监视器并置的近路站点(NRS)。 19名市民穿着MicroPEM进行了暴露量测,并完成了两个72小时的监测期内的时间活动日记。使用基于滤波器的重量数据进行调整并校正与温度相关的偏差后,MicroPEMs数据具有很高的准确性(> 90%)。周围的PM2.5数据显示出变异性,位点对之间的差异高达3倍。夏季,我们观察到PM2.5含量高出2.5倍。大多数站点之间的时间测量值与NRS数据高度相关(r> 0.7),表明交通流量对社区空气质量的影响很大。但是,很少有公园等场所在周末与NRS表现出显着差异。个人的个人暴露水平每天都会受到活动类型的影响而变化。实时峰值浓度与参与者报告的暴露事件(例如靠近燃烧源和清洁)相匹配。平均而言,个人PM2.5暴露高于附近的环境传感器测量值,并且低于NRS。但是,对于具有高暴露事件的个人,其个人水平比附近的环境传感器水平高6至24倍。这项研究表明了低成本传感器在评估空气质量的时空变化和暴露测量误差程度方面的价值,这对于准确的流行病学模型至关重要。此外,传感器是用于行为干预以减少空气污染暴露的有用工具。 EPA批准号:RD83618701

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