Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning

Understanding Sources and Drivers of Size-Resolved Aerosol in the High Arctic Islands of Svalbard Using a Receptor Model Coupled with Machine Learning

10 pages, 3 figures, 1 table, supporting information https://doi.org/10.1021/acs.est.1c07796

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Bibliographic Details
Main Authors: Song, Congbo, Becagli, Silvia, Beddows, D.C.S., Brean, James, Browse, Jo, Dai, Qili, Dall'Osto, Manuel, Ferracci, Valerio, Harrison, Roy M., Harris, Neil R. P., Li, Weijun, Jones, Anna E., Kirchgäßner, Amélie, Kramawijaya, Agung Ghani, Kurganskiy, Alexander, Lupi, Angelo, Mazzola, Mauro, Severi, Mirko, Traversi, Rita, Shi, Zongbo
Other Authors: Natural Environment Research Council (UK)
Format: artículo biblioteca
Language:English
Published: American Chemical Society 2022-07
Subjects:Arctic, Source apportionment, Positive matrix factorization, Machine learning, Particle number concentration, Meteorology,
Online Access:http://hdl.handle.net/10261/278916
http://dx.doi.org/10.13039/501100011033
http://dx.doi.org/10.13039/501100000270
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http://hdl.handle.net/10261/278916
http://dx.doi.org/10.13039/501100011033
http://dx.doi.org/10.13039/501100000270

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