Assessing the usefulness of dense sensor network for PM2.5 monitoring on an academic campus area.

摘要: Abstract Low-cost sensors provide an opportunity to improve the spatial and temporal resolution of air quality measurements. Networks such devices may complement traditional monitoring some useful information about pollutants their impact on health. This paper describes network 20 nodes for ambient PM2.5 a campus area Wroclaw University Science Technology (Wroclaw, Poland). Sensor were equipped with optical PMS A003 (Plantower), which showed high reproducibility between units. The distribution sensor was characterised by both density (14 main area) wide spread across city (6 peripheral campuses). During measurement campaign, signals from consistent results regulatory stations capable indicating elevated levels concentrations. A great advantage this system ability up-to-date public. Furthermore, messaging site-specific because observed differences in Data analysis aimed at assessing variability locations using Kendall's τ metric statistical significance neighbouring Kolmogorov-Smirnov test. importance middle variations peripheries. Differences located close proximity each other cases significant, but only short-term averaged data. Nevertheless, highly visible variation case arranged vertically two buildings. concentrations even 2–4 times greater near top parts buildings than ground. effect stratification under conditions temperature inversion.