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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Ltd.
2022
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| Materias: | |
| 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 |