Regional PM 2.5 prediction with hybrid directed graph neural networks and Spatio-temporal fusion of meteorological factors

Traditional statistical prediction methods on PM often focus on a single temporal or spatial dimension, with limited consideration for regional transport interactions among adjacent cities. To address this limitation, we propose a hybrid directed graph neural network method based on deep learning, w...

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Veröffentlicht in:	Environmental pollution (1987) 2025-02, Vol.366, p.125404
Hauptverfasser:	Chen, Yinan, Wu, Yonghua, Zhang, Shiguo, Yuan, Kee, Huang, Jian, Shi, Dongfeng, Hu, Shunxing
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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