Decoding PM<sub>2.5</sub> Prediction in Nanning Urban Area, China: Unraveling Model Superiorities and Drawbacks Through SARIMA, Prophet, and LightGBM

Decoding PM<sub>2.5</sub> Prediction in Nanning Urban Area, China: Unraveling Model Superiorities and Drawbacks Through SARIMA, Prophet, and LightGBM

With the rapid development of industrialization and urbanization, air pollution is becoming increasingly serious. Accurate prediction of PM<sub>2.5</sub> concentration is of great significance to environmental protection and public health. Our study takes Nanning urban area, which has un...

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Bibliographic Details
Main Authors: Minru Chen, Binglin Liu, Mingzhi Liang, Nini Yao
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Algorithms
Subjects:
machine learning
PM<sub>2.5</sub>
prediction
Nanning urban area
China
Online Access:https://www.mdpi.com/1999-4893/18/3/167
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