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...
Main Authors: | Lifeng Guo, Baozhang Chen, Huifang Zhang, Jingchun Fang |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Atmosphere |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4433/12/7/860 |
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