Short period PM(2.5) prediction based on multivariate linear regression model

A multivariate linear regression model was proposed to achieve short period prediction of PM(2.5) (fine particles with an aerodynamic diameter of 2.5 μm or less). The main parameters for the proposed model included data on aerosol optical depth (AOD) obtained through remote sensing, meteorological f...

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Detalles Bibliográficos
Autores principales: Zhao, Rui, Gu, Xinxin, Xue, Bing, Zhang, Jianqiang, Ren, Wanxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062037/
https://www.ncbi.nlm.nih.gov/pubmed/30048475
http://dx.doi.org/10.1371/journal.pone.0201011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6062037/
https://www.ncbi.nlm.nih.gov/pubmed/30048475
http://dx.doi.org/10.1371/journal.pone.0201011

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