Estimation of fine particulate matter in an arid area from visibility based on machine learning

BACKGROUND: The absence of air pollution monitoring networks makes it difficult to assess historical fine particulate matter (PM(2.5)) exposures for countries in the areas, such as Kuwait, which are severe impacted by desert dust and anthropogenic pollution. OBJECTIVE: We constructed an ensemble mac...

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Detalles Bibliográficos
Autores principales: Li, Jing, Kang, Choong-Min, Wolfson, Jack M., Alahmad, Barrak, Al-Hemoud, Ali, Garshick, Eric, Koutrakis, Petros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742157/
https://www.ncbi.nlm.nih.gov/pubmed/36151455
http://dx.doi.org/10.1038/s41370-022-00480-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9742157/
https://www.ncbi.nlm.nih.gov/pubmed/36151455
http://dx.doi.org/10.1038/s41370-022-00480-3

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