Practical considerations for using low-cost sensors to assess wildfire smoke exposure in school and childcare settings.

IF 4.1 3区 医学 Q2 ENVIRONMENTAL SCIENCES Journal of Exposure Science and Environmental Epidemiology Pub Date : 2024-05-10 DOI:10.1038/s41370-024-00677-8
Orly Stampfer, Christopher Zuidema, Ryan W Allen, Julie Fox, Paul Sampson, Edmund Seto, Catherine J Karr
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Abstract

Background: More frequent and intense wildfires will increase concentrations of smoke in schools and childcare settings. Low-cost sensors can assess fine particulate matter (PM2.5) concentrations with high spatial and temporal resolution.

Objective: We sought to optimize the use of sensors for decision-making in schools and childcare settings during wildfire smoke to reduce children's exposure to PM2.5.

Methods: We measured PM2.5 concentrations indoors and outdoors at four schools in Washington State during wildfire smoke in 2020-2021 using low-cost sensors and gravimetric samplers. We randomly sampled 5-min segments of low-cost sensor data to create simulations of brief portable handheld measurements.

Results: During wildfire smoke episodes (lasting 4-19 days), median hourly PM2.5 concentrations at different locations inside a single facility varied by up to 49.6 µg/m3 (maximum difference) during school hours. Median hourly indoor/outdoor ratios across schools ranged from 0.22 to 0.91. Within-school differences in concentrations indicated that it is important to collect measurements throughout a facility. Simulation results suggested that making handheld measurements more often and over multiple days better approximates indoor/outdoor ratios for wildfire smoke. During a period of unstable air quality, PM2.5 over the next hour indoors was more highly correlated with the last 10-min of data (mean R2 = 0.94) compared with the last 3-h (mean R2 = 0.60), indicating that higher temporal resolution data is most informative for decisions about near-term activities indoors.

Impact statement: As wildfires continue to increase in frequency and severity, staff at schools and childcare facilities are increasingly faced with decisions around youth activities, building use, and air filtration needs during wildfire smoke episodes. Staff are increasingly using low-cost sensors for localized outdoor and indoor PM2.5 measurements, but guidance in using and interpreting low-cost sensor data is lacking. This paper provides relevant information applicable for guidance in using low-cost sensors for wildfire smoke response.

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使用低成本传感器评估学校和托儿所野火烟雾暴露的实际考虑因素。
背景:更频繁、更猛烈的野火会增加学校和托儿所的烟雾浓度。低成本传感器能够以较高的空间和时间分辨率评估细颗粒物(PM2.5)的浓度:我们试图优化传感器的使用,以便在学校和托儿所发生野火烟雾时做出决策,减少儿童接触 PM2.5 的机会:2020-2021 年野火烟雾期间,我们使用低成本传感器和重量采样器测量了华盛顿州四所学校室内和室外的 PM2.5 浓度。我们随机抽取了低成本传感器数据的 5 分钟片段,以模拟短暂的便携式手持测量:结果:在野火烟雾事件(持续 4-19 天)期间,单个设施内不同位置的 PM2.5 浓度小时中值在上学时间的差异高达 49.6 µg/m3(最大差异)。各学校的每小时室内/室外比率中位数从 0.22 到 0.91 不等。校内浓度差异表明,在整个设施内收集测量值非常重要。模拟结果表明,更频繁地进行多天手持测量能更好地接近野火烟雾的室内/室外比率。在空气质量不稳定期间,与过去 3 小时的数据(平均 R2 = 0.60)相比,室内下一小时的 PM2.5 与过去 10 分钟的数据(平均 R2 = 0.94)的相关性更高,这表明时间分辨率更高的数据对于室内近期活动的决策最有参考价值:随着野火发生的频率和严重程度不断增加,学校和托儿所的工作人员越来越多地面临着在野火烟雾发生期间围绕青少年活动、建筑使用和空气过滤需求做出决策的问题。工作人员越来越多地使用低成本传感器进行局部室外和室内 PM2.5 测量,但缺乏使用和解释低成本传感器数据的指导。本文提供了适用于指导使用低成本传感器应对野火烟雾的相关信息。
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来源期刊
CiteScore
8.90
自引率
6.70%
发文量
93
审稿时长
3 months
期刊介绍: Journal of Exposure Science and Environmental Epidemiology (JESEE) aims to be the premier and authoritative source of information on advances in exposure science for professionals in a wide range of environmental and public health disciplines. JESEE publishes original peer-reviewed research presenting significant advances in exposure science and exposure analysis, including development and application of the latest technologies for measuring exposures, and innovative computational approaches for translating novel data streams to characterize and predict exposures. The types of papers published in the research section of JESEE are original research articles, translation studies, and correspondence. Reported results should further understanding of the relationship between environmental exposure and human health, describe evaluated novel exposure science tools, or demonstrate potential of exposure science to enable decisions and actions that promote and protect human health.
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