State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China.
State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100864, China.
Sensors (Basel). 2020 Aug 5;20(16):4381. doi: 10.3390/s20164381.
Numerous particulate matter (PM) sensors with great development potential have emerged. However, whether the current sensors can be used for reliable long-term field monitoring is unclear. This study describes the research and application prospects of low-cost miniaturized sensors in PM monitoring. We evaluated five Plantower PMSA003 sensors deployed in Beijing, China, over 7 months (October 2019 to June 2020). The sensors tracked PM concentrations, which were compared to the measurements at the national control monitoring station of the Ministry of Ecology and Environment (MEE) at the same location. The correlations of the data from the PMSA003 sensors and MEE reference monitors ( = 0.830.90) and among the five sensors ( = 0.910.98) indicated a high accuracy and intersensor correlation. However, the sensors tended to underestimate high PM concentrations. The relative bias reached -24.82% when the PM concentration was >250 µg/m. Conversely, overestimation and high errors were observed during periods of high relative humidity (RH > 60%). The relative bias reached 14.71% at RH > 75%. The PMSA003 sensors performed poorly during sand and dust storms, especially for the ambient PM concentration measurements. Overall, this study identified good correlations between PMSA003 sensors and reference monitors. Extreme field environments impact the data quality of low-cost sensors, and future corrections remain necessary.
已经出现了许多具有巨大发展潜力的颗粒物 (PM) 传感器。然而，目前尚不清楚这些传感器是否能够用于可靠的长期现场监测。本研究描述了低成本微型传感器在 PM 监测方面的研究和应用前景。我们评估了五个 Plantower PMSA003 传感器在中国北京的 7 个月（2019 年 10 月至 2020 年 6 月）的运行情况。这些传感器跟踪 PM 浓度，并与同一地点的生态环境部（MEE）国家控制监测站的测量值进行了比较。PMSA003 传感器数据与 MEE 参考监测器（=0.830.90）之间的相关性以及五个传感器之间（=0.910.98）的相关性表明了较高的准确性和传感器之间的相关性。然而，这些传感器往往会低估高 PM 浓度。当 PM 浓度>250µg/m 时，相对偏差达到-24.82%。相反，在相对湿度（RH>60%）较高期间，会出现高估和高误差。RH>75%时，相对偏差达到 14.71%。在沙尘暴期间，PMSA003 传感器的性能较差，特别是对于环境 PM 浓度测量。总的来说，本研究发现 PMSA003 传感器与参考监测器之间具有良好的相关性。极端的现场环境会影响低成本传感器的数据质量，因此未来仍需要进行修正。
