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Identifying a suitable model for predicting hourly pollutant concentrations by using low-cost microstation data and machine learning

Accurately predicting the concentration of PM(2.5) (fine particles with a diameter of 2.5 μm or less) is essential for health risk assessment and formulation of air pollution control strategies. At present, there is also a large amount of air pollution data. How to efficiently mine its hidden featur...

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Detalles Bibliográficos
Autores principales: Yang, Rongjin, Yin, Lizeyan, Hao, Xuejie, Liu, Lu, Wang, Chen, Li, Xiuhong, Liu, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9675857/
https://www.ncbi.nlm.nih.gov/pubmed/36402807
http://dx.doi.org/10.1038/s41598-022-24470-5