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Using Low-cost Sensors to Quantify the Effects of Air Filtration on Indoor and Personal Exposure Relevant PM2.5 Concentrations in Beijing, China

机译:使用低成本传感器量化空气过滤对室内和个人暴露相关PM2.5浓度的影响。

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摘要

Residents of polluted cities frequently use indoor air purifiers in an attempt to improve their health by reducing their exposure to air pollutants, despite the fact that few studies have assessed these devices under relevant field conditions. Low-cost air monitors are increasingly popular for monitoring air pollution exposure; however, they must be calibrated and evaluated in their deployment location first to ensure measurement accuracy and precision. In this study, we developed a 2-step calibration method in which a low-cost monitor is calibrated against a reference analyzer and is then used to calibrate other monitors, shortening the required calibration time and reducing measurement error. The monitors in our experiment measured indoor, outdoor, and personal exposure PM2.5 concentrations during 1 week each of true and sham filtration in 7 homes in Beijing, China On average, filtration reduced the indoor and personal exposure relevant concentrations by 72% (std. err. = 7%) and 28% (std. err. = 5%), respectively. This study indicates that minimizing personal exposure, however, also requires reducing the infiltration of outdoor air in homes or decreasing PM2.5 pollution at the city or country level.
机译:污染城市的居民经常使用室内空气净化器来试图通过降低对空气污染物的暴露来改善健康,尽管很少有研究在相关的现场条件下评估这些装置。低成本的空气监视器越来越受到监测空气污染暴露的流行;但是,必须首先校准并在其部署位置进行校准和评估,以确保测量精度和精度。在这项研究中,我们开发了一种2步校准方法,其中低成本监视器针对参考分析仪校准,然后用于校准其他监视器,缩短所需的校准时间并降低测量误差。我们的实验中的监视器测量室内,室外和个人曝光PM2.5浓度在1周内,每个北京7位房屋中的真实和假过滤平均,过滤将室内和个人暴露的相关浓度减少72%(STD 。误差= 7%)和28%(STD。误差= 5%)。本研究表明,最大限度地减少个人风险,还需要减少房屋内室外空气的渗透或在城市或国家层面降低PM2.5污染。

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