Title: | Towards a better understanding of fine PM sources : online and offline datasets combination in a single PMF |
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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: | Via_et_al_2023_pmf_combination.pdf (3,23 MB) MD5: D3511B7E02ACAB8BAA7FCD9F4D45BEDF
https://www.sciencedirect.com/science/article/pii/S0160412023002799?via%3Dihub
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Language: | English |
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Work type: | Unknown |
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Typology: | 1.01 - Original Scientific Article |
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Organization: | UNG - University of Nova Gorica
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Keywords: | multi-time resolution, source apportionment, submicronic particulate matter, positive matrix factorisation, PMF, multilinear engine, SoFi, ME2, organic sources, metals |
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Publication date: | 01.07.2023 |
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Year of publishing: | 2023 |
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Number of pages: | str. 1-13 |
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Numbering: | Vol. 177, [article no.] ǂ108006 |
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PID: | 20.500.12556/RUNG-8603-cd228ecd-ba0d-d1af-3076-86e5f55d905d |
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COBISS.SI-ID: | 169577219 |
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ISSN: | 0160-4120 |
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UDC: | 53 |
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ISSN on article: | 0160-4120 |
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DOI: | 10.1016/j.envint.2023.108006 |
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NUK URN: | URN:SI:UNG:REP:YCH9PEIG |
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Publication date in RUNG: | 24.10.2023 |
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Views: | 1731 |
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Downloads: | 8 |
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