4.6 Article

Investigating the Sensitivity of Low-Cost Sensors in Measuring Particle Number Concentrations across Diverse Atmospheric Conditions in Greece and Spain

Journal

SENSORS
Volume 23, Issue 14, Pages -

Publisher

MDPI
DOI: 10.3390/s23146541

Keywords

particulate matter; mass concentration; number concentration; low-cost sensors; sensors' particle-size selectivity

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This study investigated the accuracy of PMS 5003 sensors in measuring particle number concentrations in different environments. The results showed that the sensors exhibited good correlation with the reference instrument for particles smaller than 1μm in urban and background areas, but performed poorly in a dry area. During dust events, the sensors were unable to accurately report particle number distributions and consistently underestimated particle number concentrations.
Low-cost sensors (LCSs) for particulate matter (PM) concentrations have attracted the interest of researchers, supplementing their efforts to quantify PM in higher spatiotemporal resolution. The precision of PM mass concentration measurements from PMS 5003 sensors has been widely documented, though limited information is available regarding their size selectivity and number concentration measurement accuracy. In this work, PMS 5003 sensors, along with a Federal Referral Methods (FRM) sampler (Grimm spectrometer), were deployed across three sites with different atmospheric profiles, an urban (Germanou) and a background (UPat) site in Patras (Greece), and a semi-arid site in Almeria (Spain, PSA). The LCSs particle number concentration measurements were investigated for different size bins. Findings for particles with diameter between 0.3 and 10 & mu;m suggest that particle size significantly affected the LCSs' response. The LCSs could accurately detect number concentrations for particles smaller than 1 & mu;m in the urban (R-2 = 0.9) and background sites (R-2 = 0.92), while a modest correlation was found with the reference instrument in the semi-arid area (R-2 = 0.69). However, their performance was rather poor (R-2 < 0.31) for coarser aerosol fractions at all sites. Moreover, during periods when coarse particles were dominant, i.e., dust events, PMS 5003 sensors were unable to report accurate number distributions (R-2 values < 0.47) and systematically underestimated particle number concentrations. The results indicate that several questions arise concerning the sensors' capabilities to estimate PM2.5 and PM10 concentrations, since their size distribution did not agree with the reference instruments.

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