Particle number size distribution evaluation of Plantower PMS5003 low-cost PM sensors – a field experiment†

IF 2.8 Q3 ENVIRONMENTAL SCIENCES Environmental science: atmospheres Pub Date : 2024-09-24 DOI:10.1039/D4EA00086B
Alexandre Caseiro, Seán Schmitz and Erika von Schneidemesser
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Abstract

The use of low-cost sensors (LCS) for the evaluation of the ambient pollution by particulate matter (PM) has grown and become significant for the scientific community in the past few years. However promising this novel technology is, the characterization of their limitations is still not satisfactory. Reports in the scientific literature rely on calibration, which implies the physical (or geographical) co-location of the LCS with reference in situ (or remote, e.g. onboard satellite platforms) instrumentation. However, calibration is not always feasible, and even when feasible, the validity of the developed relationship, even in similar settings, is subject to large uncertainties. In the present work, the performance of a popular LCS for PM, the Plantower PMS5003, is investigated. The LCS performs particle counts, which is the physical quantity that is input to the black-box model of the manufacturer to compute the ambient PM mass, which is output to the operator. The particle counts of LCS Plantower PMS5003 units were compared to those of the co-located research-grade Grimm EDM-164 monitor. The results show that humidity possibly has a reduced influence on the performance, but the performance can better be constrained, however spanning more than one order of magnitude in terms of agreement ratio, by functions of the actual particle count itself. In view of these results, further development in the field of LCS for PM monitoring should focus on improvements of the physical design of the devices, in order to enhance the sizing of the particles. The use of the actual Plantower PMS5003 models should be limited to the monitoring of PM mass in the smaller size bins.

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Plantower PMS5003 低成本可吸入颗粒物传感器的粒度分布评估--现场实验†。
在过去几年里,使用低成本传感器(LCS)来评估环境颗粒物(PM)污染的情况越来越多,对科学界来说意义重大。尽管这项新技术前景广阔,但对其局限性的描述仍不尽人意。科学文献中的报告依赖于校准,这意味着将 LCS 与参考原地(或远程,如卫星平台上)仪器物理(或地理)同地定位。然而,校准并不总是可行的,即使可行,所建立关系的有效性,即使在类似的环境中,也会受到很大的不确定性影响。在本研究中,对一种常用的可吸入颗粒物 LCS(Plantower PMS5003)的性能进行了调查。该 LCS 可进行颗粒计数,这是输入到制造商黑盒模型中的物理量,用于计算环境 PM 质量,并将其输出给操作员。将 LCS Plantower PMS5003 设备的颗粒计数与同处的研究级 Grimm EDM-164 监测器的颗粒计数进行了比较。结果表明,湿度对性能的影响可能较小,但通过实际颗粒计数本身的功能,可以更好地限制性能,但在一致性比方面,差距超过一个数量级。鉴于这些结果,用于可吸入颗粒物监测的 LCS 领域的进一步发展应侧重于改进设备的物理设计,以提高颗粒的大小。实际使用的 Plantower PMS5003 型号应仅限于监测较小粒径范围内的可吸入颗粒物质量。
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