Prediction and Source Contribution Analysis of PM<sub>2.5</sub> Using a Combined FLEXPART Model and Bayesian Method over the Beijing-Tianjin-Hebei Region in China

Prediction and Source Contribution Analysis of PM<sub>2.5</sub> Using a Combined FLEXPART Model and Bayesian Method over the Beijing-Tianjin-Hebei Region in China

Fine particulate matter (PM<sub>2.5</sub>) has a serious impact on human health. Forecasting PM<sub>2.5</sub> levels and analyzing the pollution sources of PM<sub>2.5</sub> are of great significance. In this study, the Lagrangian particle dispersion (LPD) model wa...

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Bibliographic Details
Main Authors: Lifeng Guo, Baozhang Chen, Huifang Zhang, Jingchun Fang
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Atmosphere
Subjects:
PM<sub>2.5</sub>
forecast
source contribution
FLEXPART
Bayesian
Online Access:https://www.mdpi.com/2073-4433/12/7/860

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