Ouimette James, Arnott W Patrick, Laven Philip, Whitwell Richard, Radhakrishnan Nagarajan, Dhaniyala Suresh, Sandink Michael, Tryner Jessica, Volckens John
Santa Rosa, California, USA.
Department of Physics, University of Nevada, Reno, Nevada, USA.
Aerosol Sci Technol. 2024;58(1):1-15. doi: 10.1080/02786826.2023.2285935. Epub 2023 Dec 5.
Most evaluations of low-cost aerosol sensors have focused on their measurement bias compared to regulatory monitors. Few evaluations have applied fundamental principles of aerosol science to increase our understanding of how such sensors work and could be improved. We examined the Plantower PMS5003 sensor's internal geometry, laser properties, photodiode responses, microprocessor output, flow rates, and response to mono- and poly-disperse aerosols. We developed a physics-based model of particle light scattering within the sensor, which we used to predict counting and sizing efficiency for 0.30 to 10 μm particles. We found that the PMS5003 counts single particle scattering events, acting like an imperfect optical particle counter, rather than a nephelometer. As particle flow is not focused into the core of the laser beam, >99% of particles that flow through the PMS5003 miss the laser, and those that intercept the laser usually miss the focal point and are subsequently undersized, resulting in erroneous size distribution data. Our model predictions of PMS5003 response to varying particle diameters, aerosol compositions, and relative humidity were consistent with laboratory data. Computational fluid dynamics simulations of the PurpleAir monitor housing showed that for wind-speeds less than 3 m s, fine and coarse particles were representatively aspired to the PMS5003 inlet. Our measurements and models explain why the PurpleAir overstates regulatory PM in some locations but not others; why the PurpleAir PM is unresponsive to windblown dust; and why it reports a similar particle size distribution for coarse particles as it does for smoke and ambient background aerosol.
大多数对低成本气溶胶传感器的评估都集中在与监管监测器相比时它们的测量偏差上。很少有评估应用气溶胶科学的基本原理来增进我们对这类传感器如何工作以及如何改进的理解。我们研究了Plantower PMS5003传感器的内部几何结构、激光特性、光电二极管响应、微处理器输出、流速以及对单分散和多分散气溶胶的响应。我们开发了一个基于物理的传感器内粒子光散射模型,用于预测0.30至10μm粒子的计数和粒径测量效率。我们发现PMS5003计数单个粒子散射事件,其作用类似于一个不完善的光学粒子计数器,而不是浊度计。由于粒子流没有聚焦到激光束的核心,超过99%流经PMS5003的粒子错过激光,而那些拦截到激光的粒子通常错过焦点,随后被低估尺寸,导致错误的粒径分布数据。我们对PMS5003对不同粒径、气溶胶成分和相对湿度的响应的模型预测与实验室数据一致。对PurpleAir监测器外壳的计算流体动力学模拟表明,对于风速小于3 m s的情况,细颗粒和粗颗粒代表性地被吸入PMS5003入口。我们的测量和模型解释了为什么PurpleAir在某些地方高估监管的颗粒物而在其他地方没有;为什么PurpleAir的颗粒物对风吹起的灰尘无响应;以及为什么它报告的粗颗粒粒径分布与烟雾和环境背景气溶胶的相似。