Speaker
Descrizione
This study focuses on the elemental characterization of atmospheric particulate matter (PM), a key aspect in identifying pollution sources due to PM's harmful effects on human health.
The research compares data from two ED-XRF systems: an online Xact® 625i, which uses Teflon tape and provides near real-time PM₁₀ data every 3 hours at the Environmental-Climate Observatory (ECO), and an offline benchtop ED-XRF (XEPOS05, Spectro) that analyzes daily samples collected on quartz filters using a dual-channel SWAM sampler.
To assess consistency, daily-averaged online measurements will be compared to corresponding offline results. While the benchtop method is well-established, the online system allows for continuous and quicker access to elemental data, reducing delays from sample handling and analysis.
The study also presents the first high-time-resolution elemental data series from ECO, with a focus on identifying pollution tracers such as African dust, biomass burning, road traffic, and fireworks.
