Seamless Hourly Estimation of Negative Air Ion Concentrations: Integrating Hybrid Stacked Machine Learning Models With Kriging Spatiotemporal Augmentation

Abstract Negative Air Ions (NAIs), essential for environmental and human health, facilitate air purification and offer antimicrobial benefits. Our study achieves hourly estimations of NAIs using a machine learning framework, developed from a multi‐layer selection pipeline of over 200 variables, to i...

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Detalhes bibliográficos

Principais autores:	Zhehao Liang, Zhaoliang Zeng, Martin Kada, Yanqing Luo, Lilli Kaufhold, LinSen Xu, Ke Gui, Yan Zhao, Yaqiang Wang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Wiley 2024-08-01
Colecção:	Geophysical Research Letters
Assuntos:	air quality negative air ions environmental monitoring public health machine learning spatiotemporal augmentation
Acesso em linha:	https://doi.org/10.1029/2024GL109870
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