Towards a better understanding of fine PM sources: Online and offline datasets combination in a single PMF

Towards a better understanding of fine PM sources: Online and offline datasets combination in a single PMF

Source apportionment (SA) techniques allocate the measured ambient pollutants with their potential source origin; thus, they are a powerful tool for designing air pollution mitigation strategies. Positive Matrix Factorization (PMF) is one of the most widely used SA approaches, and its multi-time res...

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Bibliographic Details
Main Authors: Marta Via, Jesús Yus-Díez, Francesco Canonaco, Jean-Eudes Petit, Philip Hopke, Cristina Reche, Marco Pandolfi, Matic Ivančič, Martin Rigler, André S.H. Prevôt, Xavier Querol, Andrés Alastuey, María Cruz Minguillón
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Environment International
Subjects:
Multi-time resolution
Source apportionment
Submicronic particulate matter
Positive matrix factorisation
PMF
Multilinear engine
Online Access:http://www.sciencedirect.com/science/article/pii/S0160412023002799

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http://www.sciencedirect.com/science/article/pii/S0160412023002799

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