A novel method for quantifying the contribution of regional transport to PM<sub>2.5</sub> in Beijing (2013–2020): combining machine learning with concentration-weighted trajectory analysis

A novel method for quantifying the contribution of regional transport to PM<sub>2.5</sub> in Beijing (2013–2020): combining machine learning with concentration-weighted trajectory analysis

<p>Fine particulate matter (PM<span class="inline-formula"><sub>2.5</sub></span>) is closely linked to human health, with its sources generally divided into local emissions and regional transport. This study combined concentration-weighted trajectory (CWT) ana...

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Bibliographic Details
Main Authors: K. Hu, H. Liao, D. Liu, J. Jin, L. Chen, S. Li, Y. Wu, C. Wu, S. Zhao, X. Jiang, P. Tian, K. Bi, Y. Wang, D. Zhao
Format: Article
Language:English
Published: Copernicus Publications 2025-06-01
Series:Geoscientific Model Development
Online Access:https://gmd.copernicus.org/articles/18/3623/2025/gmd-18-3623-2025.pdf
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https://gmd.copernicus.org/articles/18/3623/2025/gmd-18-3623-2025.pdf

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