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Predicting PM2.5 Concentration in the Yangtze River Delta Region Using Climate System Monitoring Indices and Machine Learning

Jinghui MA Shiquan WAN Shasha XU Chanjuan WANG Danni QIU

气象学报（英文版）2024，Vol.38Issue(2)：249-261,13.

气象学报（英文版）2024，Vol.38Issue(2)：249-261,13.DOI:10.1007/s13351-024-3099-9

Predicting PM2.5 Concentration in the Yangtze River Delta Region Using Climate System Monitoring Indices and Machine Learning

Jinghui MA ¹Shiquan WAN ²Shasha XU ³Chanjuan WANG ³Danni QIU³

作者信息

1. Shanghai Typhoon Institute,Shanghai Meteorological Service,Shanghai 200030||Key Laboratory of Polar Atmosphere-Ocean-Iice System for Weather and Climate,Ministry of Education,Department of Atmospheric and Oceanic Sciences,Fudan University,Shanghai 200438||Shanghai Key Laboratory of Meteorology and Health,Shanghai Meteorological Service,Shanghai 200030
2. Yangzhou Meteorological Office,Yangzhou 225001||Department of Physics,Yangzhou University,Yangzhou 225003
3. Yangzhou Meteorological Office,Yangzhou 225001
折叠

摘要

关键词

PM2.5 concentration/machine learning/evolutionary modeling/seasonal prediction

Key words

PM2.5 concentration/machine learning/evolutionary modeling/seasonal prediction

引用本文复制引用

Jinghui MA,Shiquan WAN,Shasha XU,Chanjuan WANG,Danni QIU..Predicting PM2.5 Concentration in the Yangtze River Delta Region Using Climate System Monitoring Indices and Machine Learning[J].气象学报（英文版）,2024,38(2):249-261,13.

基金项目

Supported by the National Natural Science Foundation of China(42005055,42075051,42375067,42375056,and 42288101). （42005055,42075051,42375067,42375056,and 42288101）

气象学报（英文版）

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ISSN：0894-0525

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