Improving PM<sub>2.5</sub> Forecasting and Emission Estimation Based on the Bayesian Optimization Method and the Coupled FLEXPART-WRF Model

Improving PM<sub>2.5</sub> Forecasting and Emission Estimation Based on the Bayesian Optimization Method and the Coupled FLEXPART-WRF Model

In this study, we evaluated estimates and predictions of the PM<sub>2.5</sub> (fine particulate matter) concentrations and emissions in Xuzhou, China, using a coupled Lagrangian particle dispersion modeling system (FLEXPART-WRF). A Bayesian inversion method was used in FLEXPART-WRF to im...

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Bibliographic Details
Main Authors: Lifeng Guo, Baozhang Chen, Huifang Zhang, Guang Xu, Lijiang Lu, Xiaofeng Lin, Yawen Kong, Fei Wang, Yanpeng Li
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Atmosphere
Subjects:
PM<sub>2.5</sub>
FLEXPART-WRF
real-time concentrations
inventory
Bayesian optimization method
Online Access:https://www.mdpi.com/2073-4433/9/11/428

Internet

https://www.mdpi.com/2073-4433/9/11/428

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