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An improved GCN−TCN−AR model for PM_(2.5) predictions in the arid areas of Xinjiang,China

CHEN Wenqian BAI Xuesong ZHANG Na CAO Xiaoyi

Journal of Arid Land2025，Vol.17Issue(1)：P.93-111,19.

Journal of Arid Land2025，Vol.17Issue(1)：P.93-111,19.DOI:10.1007/s40333-024-0066-3

An improved GCN−TCN−AR model for PM_(2.5) predictions in the arid areas of Xinjiang,China

CHEN Wenqian ¹BAI Xuesong ¹ZHANG Na ¹CAO Xiaoyi²

作者信息

1. School of Information and Control Engineering,Qingdao University of Technology,Qingdao 266520,China
2. Key Laboratory for Semi-Arid Climate Change of the Ministry of Education,College of Atmospheric Sciences,Lanzhou University,Lanzhou 730000,China
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摘要

关键词

air pollution/PM_(2.5) concentrations/graph convolution network(GCN)model/temporal convolutional network(TCN)model/autoregression(AR)model/northern slope of the Tianshan Mountains

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资源环境

引用本文复制引用

CHEN Wenqian,BAI Xuesong,ZHANG Na,CAO Xiaoyi..An improved GCN−TCN−AR model for PM_(2.5) predictions in the arid areas of Xinjiang,China[J].Journal of Arid Land,2025,17(1):P.93-111,19.

基金项目

supported by the Program of Support Xinjiang by Technology(2024E02028,B2-2024-0359) （2024E02028,B2-2024-0359）

Xinjiang Tianchi Talent Program of 2024,the Foundation of Chinese Academy of Sciences(B2-2023-0239) （B2-2023-0239）

the Youth Foundation of Shandong Natural Science(ZR2023QD070). （ZR2023QD070）

Journal of Arid Land

ISSN：1674-6767

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