Exploring the spatial heterogeneity and temporal homogeneity of ambient PM(10) in nine core cities of China

We focus on the causes of fluctuations in wintertime PM(10) in nine regional core cities of China using two machine learning models, Random Forest (RF) and Recurrent Neural Network (RNN). RF and RNN both show high performance in predicting hourly PM(10) using only gaseous air pollutants (SO(2), NO(2...

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Detalles Bibliográficos
Autores principales: Feng, Rui, Zhou, Rong, Shi, Weiwei, Shi, Nanjing, Fang, Xuekun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076262/
https://www.ncbi.nlm.nih.gov/pubmed/33903720
http://dx.doi.org/10.1038/s41598-021-88596-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076262/
https://www.ncbi.nlm.nih.gov/pubmed/33903720
http://dx.doi.org/10.1038/s41598-021-88596-8

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