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Title:Towards a better understanding of fine PM sources : online and offline datasets combination in a single PMF
Authors:ID Via, Marta (Author)
ID Yus-Díez, Jesús (Author)
ID Canonaco, Francesco (Author)
ID Petit, Jean-Eudes (Author)
ID Hopke, Philip (Author)
ID Reche, Cristina (Author)
ID Pandolfi, Marco (Author)
ID Ivančič, Matic (Author)
ID Rigler, Martin (Author)
ID Prevot, Andre S. H. (Author)
Files:.pdf Via_et_al_2023_pmf_combination.pdf (3,23 MB)
MD5: D3511B7E02ACAB8BAA7FCD9F4D45BEDF
 
URL https://www.sciencedirect.com/science/article/pii/S0160412023002799?via%3Dihub
 
Language:English
Work type:Unknown
Typology:1.01 - Original Scientific Article
Organization:UNG - University of Nova Gorica
Keywords:multi-time resolution, source apportionment, submicronic particulate matter, positive matrix factorisation, PMF, multilinear engine, SoFi, ME2, organic sources, metals
Publication date:01.07.2023
Year of publishing:2023
Number of pages:str. 1-13
Numbering:Vol. 177, [article no.] ǂ108006
PID:20.500.12556/RUNG-8603-cd228ecd-ba0d-d1af-3076-86e5f55d905d New window
COBISS.SI-ID:169577219 New window
ISSN:0160-4120
UDC:53
ISSN on article:0160-4120
DOI:10.1016/j.envint.2023.108006 New window
NUK URN:URN:SI:UNG:REP:YCH9PEIG
Publication date in RUNG:24.10.2023
Views:830
Downloads:6
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Record is a part of a journal

Title:Environment international
Shortened title:Environ. int.
Publisher:Elsevier
ISSN:0160-4120
COBISS.SI-ID:25403136 New window

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License:Other
Description:https://www.elsevier.com/tdm/userlicense/1.0/
Licensing start date:01.07.2023

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:29.05.2023

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