PM2.5 concentration 7-day prediction in the Beijing–Tianjin–Hebei region using a novel stacking framework

PM2.5 concentration 7-day prediction in the Beijing–Tianjin–Hebei region using a novel stacking framework

Abstract High-precision prediction of near-surface PM2.5 concentration is a significant theoretical prerequisite for effective monitoring and prevention of air pollution, and also provides guiding suggestions for the prevention and control of PM2.5-related health risks. It has been acknowledged that...

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Bibliographic Details
Main Authors: Xintong Gao, Xiaohong Wang, Fuping Li, Wenhao Jiang, Meng Zhe, Jiaxing Sun, Ao Zhang, Linlin Jiao
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
PM2.5 concentration prediction
Long short-term memory neural networks
Random forest
Stacking
Beijing-Tianjin-Hebei region
Online Access:https://doi.org/10.1038/s41598-025-07719-7
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https://doi.org/10.1038/s41598-025-07719-7

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