Articles | Volume 21, issue 19
Atmos. Chem. Phys., 21, 15081–15101, 2021
https://doi.org/10.5194/acp-21-15081-2021
Atmos. Chem. Phys., 21, 15081–15101, 2021
https://doi.org/10.5194/acp-21-15081-2021
Research article
11 Oct 2021
Research article | 11 Oct 2021

Time-dependent source apportionment of submicron organic aerosol for a rural site in an alpine valley using a rolling positive matrix factorisation (PMF) window

Gang Chen et al.

Viewed

Total article views: 2,462 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,773 668 21 2,462 280 19 48
  • HTML: 1,773
  • PDF: 668
  • XML: 21
  • Total: 2,462
  • Supplement: 280
  • BibTeX: 19
  • EndNote: 48
Views and downloads (calculated since 22 Dec 2020)
Cumulative views and downloads (calculated since 22 Dec 2020)

Viewed (geographical distribution)

Total article views: 2,462 (including HTML, PDF, and XML) Thereof 2,537 with geography defined and -75 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 26 Jan 2023
Download
Short summary
A novel, advanced source apportionment technique was applied to a dataset measured in Magadino. Rolling positive matrix factorisation (PMF) allows for retrieving more realistic, time-dependent, and detailed information on organic aerosol sources. The strength of the rolling PMF mechanism is highlighted by comparing it with results derived from conventional seasonal PMF. Overall, this comprehensive interpretation of aerosol chemical speciation monitor data could be a role model for similar work.
Altmetrics
Final-revised paper
Preprint