Estimating fine particulate matter air quality over China by using satellite and ground measurements based on a novel complex regional model

Authors: Yangjie Guo, China University of Geosciences, Yuming Su, Wuhan University, Song Hong*, Wuhan University
Topics: China
Keywords: fine particulate matter; MODIS AOD; air quality; complex regional model; China
Session Type: Illustrated Paper
Day: 4/11/2018
Start / End Time: 3:20 PM / 5:00 PM
Room: Canal St. Corridor, Sheraton, 3rd Floor
Presentation File: No File Uploaded


Estimating fine particulate matter (PM2.5) from satellite remote sensing aerosol optical depth (AOD) is an attractive subject for researchers worldwide. A valuable issue that concerns about the model accuracy is the spatial variation in the relationships between PM2.5 and AOD. This paper developed a novel complex regional model by adopting PM2.5 concentration data at a total of 522 sites throughout China during 2012-2013 along with satellite AOD and ancillary meteorological information, and proposed the zoning scheme of the model across China. The results indicate that the correlations of PM2.5 and AOD for individual PM2.5 monitoring sites are mostly statistically significant; the correlation maps nationwide exhibit remarkable spatial and seasonal features; the regional complex model was validated to have good fitting and prediction performance with the RMSE of predicted and actual PM2.5 being about 24~43 µg/m3 for selected sites in the spring, summer and autumn; prediction maps of PM2.5 concentrations based on the regional model were derived.

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