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Dataset Information

Estimation of ground-level PM2.5 concentration using MODIS AOD and corrected regression model over Beijing, China.


ABSTRACT: To establish a new model for estimating ground-level PM2.5 concentration over Beijing, China, the relationship between aerosol optical depth (AOD) and ground-level PM2.5 concentration was derived and analysed firstly. Boundary layer height (BLH) and relative humidity (RH) were shown to be two major factors influencing the relationship between AOD and ground-level PM2.5 concentration. Thus, they are used to correct MODIS AOD to enhance the correlation between MODIS AOD and PM2.5. When using corrected MODIS AOD for modelling, the correlation between MODIS AOD and PM2.5 was improved significantly. Then, normalized difference vegetation index (NDVI), surface temperature (ST) and surface wind speed (SPD) were introduced as auxiliary variables to further improve the performance of the corrected

SUBMITTER: Xu X 

PROVIDER: S-EPMC7553281 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature