Network of low-cost air quality sensors for monitoring indoor, outdoor, and personal PM2.5 exposure in Seattle during the 2020 wildfire season

Network of low-cost air quality sensors for monitoring indoor, outdoor, and personal PM2.5 exposure in Seattle during the 2020 wildfire season
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DOI:
10.1016/j.atmosenv.2022.119244
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发表时间:
2022-09-15
影响因子:
5
通讯作者:
Novosselov, Igor
Novosselov, Igor
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
He, Jiayang;Huang, Ching-Hsuan;Novosselov, Igor

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美国西部野火发生频率的增加提高了公众对野火烟雾对空气质量和人类健康影响的认识。暴露于野火烟雾与癌症和心肺疾病的风险增加有关。循证干预措施可以减轻野火烟雾对健康的不利影响。在野火期间,公共卫生指导是基于时空分辨率有限的区域空气质量数据。最近,低成本的空气质量传感器已被用于空气质量研究,因为它们能够捕获高分辨率的时空数据。我们演示了使用低成本颗粒物(PM)传感器网络收集室内和室外PM2.5数据从七个地点在城市西雅图地区,沿着个人暴露监测器居住在这些地点之一,在2020年华盛顿野火事件。这些数据被用来确定PM浓度室内/室外(I/O)比,PM减少,和个人暴露水平。结果表明,配备高效微粒空气(HEPA)过滤器和HVAC过滤系统的位置的I/O比(中位数I/O = 0.43)显著低于未配备空气过滤系统的位置(中位数I/O = 0.82)。使用HEPA的地点的PM2.5中位数减少了58%,而没有HEPA的地点则减少了20%。室外PM传感器显示出与附近区域空气质量监测站的高度相关性(校准前R-2 = 0.92)。个人监测器在PM测量中显示出更高的方差,因为用户移动通过不同的微环境,并且不能完全由室内或室外监测器的网络表征。研究结果意味着,当结合室内和室外传感器的数据时,可以开发基于证据的干预措施来减少污染暴露。个人暴露监测捕捉到PM暴露的时间峰值。
The increased frequency of wildfires in the Western United States has raised public awareness of the impact of wildfire smoke on air quality and human health. Exposure to wildfire smoke has been linked to an increased risk of cancer and cardiorespiratory morbidity. Evidence-driven interventions can alleviate the adverse health impact of wildfire smoke. During wildfires, public health guidance is based on regional air quality data with limited spatiotemporal resolution. Recently, low-cost air quality sensors have been used in air quality studies, given their ability to capture high-resolution spatiotemporal data. We demonstrate the use of a network of low-cost particulate matter (PM) sensors to gather indoor and outdoor PM2.5 data from seven locations in the urban Seattle area, along with a personal exposure monitor worn by a resident living in one of these locations during the 2020 Washington wildfire event. The data were used to determine PM concentration indoor/outdoor (I/O) ratios, PM reduction, and personal exposure levels. The result shows that locations equipped with high-efficiency particulate air (HEPA) filters and HVAC filtration systems had significantly lower I/O ratios (median I/O = 0.43) than those without air filtration (median I/O = 0.82). The median PM2.5 reduction for the locations with HEPA is 58% compared to 20% for the locations without HEPA. The outdoor PM sensor showed a high correlation to the nearby regional air quality monitoring stations (pre-calibration R-2 = 0.92). The personal monitor showed higher variance in PM measurements as the user moved through different microenvironments and could not be fully characterized by the network of indoor or outdoor monitors. The findings imply that evidence-based interventions can be developed to reduce pollution exposure when combining data from indoor and outdoor sensors. Personal exposure monitoring captured temporal spikes in PM exposure.