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Proposal of a methodology for prediction of heavy metals concentration based on PM2.5 concentration and meteorological variables using machine learning

Crossref DOI link: https://doi.org/10.1007/s44273-024-00029-w

Published Online: 2024-02-27

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Park, Shin-Young

Lee, Hye-Won

Kwon, Jaymin

Yoon, Sung-Won

Lee, Cheol-Min https://orcid.org/0000-0003-2276-2463
Funding

Funding for this research was provided by:

Korea Environmental Industry and Technology Institute (1485019512/ 2022003310002)

Ministry of Environment (202301440001)
License Information

Text and Data Mining valid from 2024-02-27

Version of Record valid from 2024-02-27
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Article History

Received: 4 January 2024

Accepted: 4 February 2024

First Online: 27 February 2024

Declarations

:

: Not applicable.

: Not applicable.

: The authors declare that they have no competing interests.

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