Quantify the role of anthropogenic emission and meteorology on air pollution using machine learning approach: A case study of PM(2.5) during the COVID-19 outbreak in Hubei Province, China()

Air pollution is becoming serious in developing country, and how to quantify the role of local emission and/or meteorological factors is very important for government to implement policy to control pollution. Here, we use a random forest model, a machine learning (ML) approach, combined with a de-we...

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Detalles Bibliográficos
Autores principales: Liu, Hongwei, Yue, Fange, Xie, Zhouqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756305/
https://www.ncbi.nlm.nih.gov/pubmed/35121018
http://dx.doi.org/10.1016/j.envpol.2022.118932

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756305/
https://www.ncbi.nlm.nih.gov/pubmed/35121018
http://dx.doi.org/10.1016/j.envpol.2022.118932

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