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Estimating Mass Concentration Using a Low-cost Portable Particle Counter Based on Full-year Observations: Issues to Obtain Reliable Atmospheric PM 2.5 Data

Asian journal of atmospheric environment(2020)

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Abstract
Expanding the use of a recently introduced low-cost particle monitor (DC1700 Dylos Air Quality Monitor) for sensing atmospheric PM 2.5 requires comparison with data obtained using a certified method for PM 2.5 based on appropriate atmospheric observations. Full-year measurements of atmospheric aerosols were taken in Nagoya, Japan during March 2017-March 2018 using the DC1700 to measure the particle number concentrations of >0.5 and >2.5 μm diameter particles and to measure the PM 2.5 mass concentration ( M dry, PM2.5 ) using an automated β attenuation mass monitor (PM712). The number-size distribution was measured using an optical particle counter (KC01D). The dried mass concentration of 0.5–2.5 μm particles ( M dry, 0.5–2.5 ) was estimated from the ambient relative humidity and the DC1700 number concentration. The values of M dry, 0.5–2.5 were invariably less than those of M dry, PM2.5 . The coefficient of determination and slope of M dry, 0.5–2.5 to M dry, PM2.5 for the year were, respectively, 0.68 and 0.40. Slope values changed seasonally from 0.24 in July and August 2017 to 0.55 in May and April 2017. Light absorbing particles, smaller-fine particles, and the estimation method of M dry, 0.5–2.5 were inferred as causes of the difference between M dry, 0.5–2.5 and M dry, PM2.5 . Especially, we estimated a large contribution (ca. 54% underestimation of M dry, 0.5–2.5 into M dry, PM2.5 ) of particles smaller than the minimum detection diameter of DC1700. The seasonal variation of M dry, 0.5–2.5 / M dry, PM2.5 was related to the volume fraction of particles smaller than 0.5 μm. Good correlation of M dry, 0.5–2.5 to M dry, PM2.5 suggests that data obtained using DC1700 with a correction factor are useful as a rough proxy of atmospheric PM 2.5 within a season. However, precise estimation of PM 2.5 from the DC1700 number concentrations should include appropriate corrections of the size distribution, not only hygroscopicity.
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Key words
Atmospheric aerosols,Dylos,Low-cost monitor,Optical sensor,PM2.5
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