Predicting of Daily PM(2.5) Concentration Employing Wavelet Artificial Neural Networks Based on Meteorological Elements in Shanghai, China

Anthropogenic sources of fine particulate matter (PM(2.5)) threaten ecosystem security, human health and sustainable development. The accuracy prediction of daily PM(2.5) concentration can give important information for people to reduce their exposure. Artificial neural networks (ANNs) and wavelet-A...

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Detalles Bibliográficos
Autores principales: Guo, Qingchun, He, Zhenfang, Wang, Zhaosheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864912/
https://www.ncbi.nlm.nih.gov/pubmed/36668777
http://dx.doi.org/10.3390/toxics11010051

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864912/
https://www.ncbi.nlm.nih.gov/pubmed/36668777
http://dx.doi.org/10.3390/toxics11010051

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