The estimation of PM<sub>2.5</sub> mass concentration based on fine-mode aerosol and WRF model

doi:10.6046/gtzyyg.2020207

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Abstract

The addition of meteorological factors to the estimation of near-ground atmospheric particulate concentration based on AOD is one of the most popular techniques nowadays. In this paper, AOD (Aerosol Optical Depth), FMF (Fine-Mode Fraction) and PM_2.5mass concentration data from March 2014 to February 2019 in Nanjing were obtained, and the mass concentration of PM_2.5 in Nanjing was retrieved in combination with the meteorological simulation data from WRF (Weather Research and Forecast) model. The results show that, compared with correlation between AOD and PM_2.5, the correlation analysis of fine aerosol optical depth AOD_f and PM_2.5 obtained by FMF correction can obtain a higher fitting coefficient, and the maximum R² reaches 0.40. By adding meteorological factors on different heights into random forest model to establish an inversion model for PM_2.5 mass concentration, the obtained fitting coefficients and various error indicators are better than those from models with only near-surface meteorological factors, which indicates that the PM_2.5 mass concentration is affected by the combined effect of multiple factors, thus the result can provide a basis and reference for inversion of PM_2.5 mass concentration by using multi-source data.

Keywords MODIS FMF WRF model PM_2.5 mass concentration estimation

ZTFLH:

P407X87

Corresponding Authors: ZHA Yong E-mail: 347128908@qq.com;yzha@njnu.edu.cn

Issue Date: 21 July 2021

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	Geng WEI
	Yuqiao HOU
	Jiamei HAN
	Yong ZHA

Cite this article:

Geng WEI,Yuqiao HOU,Jiamei HAN, et al. The estimation of PM_2.5 mass concentration based on fine-mode aerosol and WRF model[J]. Remote Sensing for Land & Resources, 2021, 33(2): 66-74.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020207 OR https://www.gtzyyg.com/EN/Y2021/V33/I2/66

Tab.1 Parameter schemes of WRF mode

Fig.1 Annual and quarterly average concentrations of AOD and PM_2.5. in Nanjing

Fig.2 Correlation between PM_2.5 and AOD_m

Fig.3 Correlation between PM_2.5 and AOD_f

Tab.2 Multiple regression model in different seasons

Fig.4 Verification results of model with only near-ground meteorological factors

Fig.5-1 Verification results of model including meteorological factors on different altitudes

Fig.5-2 Verification results of model including meteorological factors on different altitudes

Fig.6 Effect of different influence factors on PM_2.5 mass concentration in four seasons

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