Robust prediction of hourly PM(2.5) from meteorological data using LightGBM

Retrieving historical fine particulate matter (PM(2.5)) data is key for evaluating the long-term impacts of PM(2.5) on the environment, human health and climate change. Satellite-based aerosol optical depth has been used to estimate PM(2.5), but estimations have largely been undermined by massive mi...

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Detalles Bibliográficos
Autores principales: Zhong, Junting, Zhang, Xiaoye, Gui, Ke, Wang, Yaqiang, Che, Huizheng, Shen, Xiaojing, Zhang, Lei, Zhang, Yangmei, Sun, Junying, Zhang, Wenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Earth Sciences
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566180/
https://www.ncbi.nlm.nih.gov/pubmed/34858602
http://dx.doi.org/10.1093/nsr/nwaa307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8566180/
https://www.ncbi.nlm.nih.gov/pubmed/34858602
http://dx.doi.org/10.1093/nsr/nwaa307

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