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SoFi RT: real-time source apportionment of organics and black carbon

Provides:

  • Intelligent data-driven design of AQ policy.
  • Rapid feedback on effects of source-targeted mitigation policies.
  • Constraints on AQ modeling.

Makes use of: In-situ

 


Smart features:

Paradigm shift from post-measurement vs real-time PMF analysis. Integration with modelling/forecasting for preemptive action or AQ alerts.

Read more: https://datalystica.com/sofi-rt, Canonaco, F., Tobler, A., Chen, G., Sosedova, Y., Slowik, J. G., Bozzetti, C., Daellenbach, K. R., El Haddad, I., Crippa, M., Huang, R.-J., Furger, M., Baltensperger, U., and Prévôt, A. S. H.: A new method for long-term source apportionment with time-dependent factor profiles and uncertainty assessment using SoFi Pro: application to 1 year of organic aerosol data, Atmos. Meas. Tech., 14, 923–943, https://doi.org/10.5194/amt-14-923-2021, 2021 .

Developers:      

Contact Information: Andre Prevot ([email protected]), Francesco Canonaco ([email protected])

SMURBS cities: Zurich (Switzerland), Magadino (Switzerland), Paris (France)

 

Involved Partner(s): NOA (GR) PSI (CH)
EO Platform(s) utilized:  In Situ
Theme: theme-icon Air Quality