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- W3005510360 abstract "Air pollution remains to be a challenge for the government and scholars, especially the particulate matter (PM2.5), resulting in many casualties and huge economic losses. It is imperative to understand the distribution characteristics of PM2.5 and analysis some influencing factors including the wind speed, humidity and atmospheric boundary conditions. A certain scholars have studied the relationship between the PM2.5 and the atmospheric boundary condition. However, there is no study about the correlation analysis between the PM2.5 and wind speed or humidity. Considering all components in the atmosphere affecting each other and the ability of WRF-Chem simulating all of the atmospheric parameters, we utilized the WRF-Chem to simulate the wind speed, humidity and PM2.5. Then firstly the PM2.5 simulated from WRF-Chem are validated with those at the ground stations to evaluate the reliability of WRF-Chem. Secondly, the correlation analysis between the PM2.5 and wind speed or humidity was done, with the correlation coefficient -0.7 and 0.48 in January, 2019. And the results demonstrate that the wind is helpful to decrease the serious air pollution in winter while the humidity has a little effect on the elimination of the particulate matter. The WRF-Chem is potential and an effective tool for the study of the air pollution." @default.
- W3005510360 created "2020-02-14" @default.
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- W3005510360 date "2020-02-07" @default.
- W3005510360 modified "2023-09-26" @default.
- W3005510360 title "Regional PM2.5 Estimation in Beijing Based on WRF-Chem Model" @default.
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- W3005510360 doi "https://doi.org/10.1088/1755-1315/435/1/012034" @default.
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