Enhancing Pollen Prediction in Beijing, a Chinese Megacity: Leveraging Ensemble Learning Models for Greater Accuracy

Enhancing Pollen Prediction in Beijing, a Chinese Megacity: Leveraging Ensemble Learning Models for Greater Accuracy

Abstract In North China, pollen stands as a leading allergen responsible for allergic rhinitis, with climate change exacerbating allergenic pollen sensitization and posing significant health risks to residents. Despite its critical importance, pollen forecasting technology is still not sufficiently...

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Bibliographic Details
Main Authors: Wenxi Ruan, Ziming Li, Zhaobin Sun, Xingqin An, Yuxin Zhao, Shuwen Zhang, Yinglin Liang, Yaqin Bu, Jingyi Xin, Xiaoyi Hang
Format: Article
Language:English
Published: Springer 2024-09-01
Series:Aerosol and Air Quality Research
Subjects:
Machine learning
Forecasting
Pollen concentrations
Lead time
Time series analysis
Online Access:https://doi.org/10.4209/aaqr.240123
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https://doi.org/10.4209/aaqr.240123

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