Articles | Volume 19, issue 11
https://doi.org/10.5194/amt-19-3625-2026
https://doi.org/10.5194/amt-19-3625-2026
Research article
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03 Jun 2026
Research article | Highlight paper |  | 03 Jun 2026

From real-time to long-term source apportionment of PM10 using high-time-resolution measurements of aerosol physical properties: methodology and example application at an urban background site (Aosta, Italy)

Henri Diémoz, Francesca Barnaba, Luca Ferrero, Ivan K. F. Tombolato, Caterina Mapelli, Annachiara Bellini, Claudia Desandré, Tiziana Magri, and Manuela Zublena

Model code and software

RASPBERRY and RASPBERRY+EVLS: Data and R code for real-time PM10 source apportionment using aerosol physical properties Henri Diémoz https://doi.org/10.5281/zenodo.20174876

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Editorial statement
This work describes a technique for the real-time determination of aerosol sources using high temporal resolution measurements to determine rapid changes in particle size distribution in accumulation and coarse modes, along with measurements of spectrally resolved light absorption measurements in the near-UV to near-IR range. The paper presents relevant real-time applications, including emergency surveillance during accidental events and the rapid identification of long-range transport of secondary particles, desert dust, and smoke. The documented approach is transferable to air quality networks involved in aerosol mass source apportionment as it relies on optical instruments commonly employed by regulatory government agencies.
Short summary
RASPBERRY is a new method to identify aerosol emission sources using physical properties (particle size and light absorption) measured at high time resolution by cost-effective optical instruments, instead of labour-intensive chemical analyses. Applied over five years in Aosta, Italy, it identified six main sources – traffic, biomass burning, two types of secondary particles, desert dust, and local resuspension. Validation against chemical apportionment and real-time applications are presented.
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