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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
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| Series: | Algorithms |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1999-4893/18/3/167 |
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