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Applicability of optical and diffusion charging-based particulate matter sensors to urban air quality measurements

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Details

Original languageEnglish
Pages (from-to)1024-1039
Number of pages16
JournalAerosol and Air Quality Research
Volume19
Issue number5
DOIs
Publication statusPublished - 1 May 2019
Publication typeA1 Journal article-refereed

Abstract

High spatial resolution particulate matter measurements are necessary to accurately characterize urban air quality issues. This study investigates how sensors can be used in an urban area to complement existing air quality measurements. A measurement campaign was conducted during winter in Helsinki, Finland, where the performance of a custom-built optical instrument—the Prototype Aerosol Sensor (PAS; uses Shinyei PPD60PV and PPD42NS sensor modules)—and three commercial diffusion charging-based sensors (Pegasor AQ Urban, DiSCmini and Partector) was evaluated against reference instruments. The results showed that the PAS was able to measure the coarse (PM2.5-10; range: 0–400 µg m–3) and fine (PM2.5; range: 0–50 µg m–3) fractions with reasonably high correlations (R2 = 0.87 and 0.77) when compared to a gravimetric monitor. Likewise, the lung deposited surface area (LDSA) concentrations delivered by the three diffusion charging sensors indicated good performance (R2: 0.92–0.97) when compared to LDSA concentrations calculated from the size distribution data of the differential mobility particle sizer. A clear correlation (R2 = 0.77) between the black carbon and Pegasor-measured LDSA concentrations, as well as similar diurnal cycles, was observed, suggesting a common source. The optical sensors were useful for measuring the mass concentrations of coarse local particles. By contrast, the diffusion charging sensors were applicable in urban environments, where ultrafine particles from traffic or other local combustion sources affect air quality.

ASJC Scopus subject areas

Keywords

  • Diffusion charging, Low-cost sensor, Optical, PM, Urban air quality

Publication forum classification

Field of science, Statistics Finland