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Simultaneous prediction of air quality for multi-sites using intensified spatiotemporal graph convolutional network based on Gaussian data augmentation

Crossref DOI link: https://doi.org/10.1007/s00704-025-06009-6

Published Online: 2026-01-17

Published Print: 2026-02

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Zhang, Xinyu

Suo, Leiming

Ma, Changwen

Zhang, Chu

He, Rui

Nazir, Muhammad Shahzad

Peng, Tian
Funding

Funding for this research was provided by:

the Postgraduate Science & Technology Innovation Program of Huaiyin Institute of Technology (HGYK202509)

National Natural Science Foundation of China (62303191)

the Postgraduate Research & Practice Innovation Program of Jiangsu Province (SJCX25_2187)

National Natural Science Foundation of China,China (62306123)
License Information

Text and Data Mining valid from 2026-01-17

Version of Record valid from 2026-01-17
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Article History

Received: 19 May 2025

Accepted: 25 December 2025

First Online: 17 January 2026

Declarations

:

: All authors agree with journal’s ethical responsibilities and this manuscript is no where submitted.

: This article does not contain any studies with human participants or animals performed by any of the authors.

: Not applicable.

: Not applicable.

: The authors declare no competing interests.

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