Estimating national-scale ground-level PM25 concentration in China using geographically weighted regression based on MODIS and MISR AOD

Environmental Science and Pollution Research International
Wei YouWeiqi Wang

Abstract

Taking advantage of the continuous spatial coverage, satellite-derived aerosol optical depth (AOD) products have been widely used to assess the spatial and temporal characteristics of fine particulate matter (PM2.5) on the ground and their effects on human health. However, the national-scale ground-level PM2.5 estimation is still very limited because the lack of ground PM2.5 measurements to calibrate the model in China. In this study, a national-scale geographically weighted regression (GWR) model was developed to estimate ground-level PM2.5 concentration based on satellite AODs, newly released national-wide hourly PM2.5 concentrations, and meteorological parameters. The results showed good agreements between satellite-retrieved and ground-observed PM2.5 concentration at 943 stations in China. The overall cross-validation (CV) R (2) is 0.76 and root mean squared prediction error (RMSE) is 22.26 μg/m(3) for MODIS-derived AOD. The MISR-derived AOD also exhibits comparable performance with a CV R (2) and RMSE are 0.81 and 27.46 μg/m(3), respectively. Annual PM2.5 concentrations retrieved either by MODIS or MISR AOD indicated that most of the residential community areas exceeded the new annual Chinese PM2.5 National Standard level ...Continue Reading

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Citations

Nov 12, 2017·Scientific Reports·Anan DingSijia Wang
Feb 28, 2019·Photochemical & Photobiological Sciences : Official Journal of the European Photochemistry Association and the European Society for Photobiology·S R WilsonK R Solomon
Jun 13, 2018·International Journal of Environmental Research and Public Health·Jingyi ZhangYongfeng Liu
Jul 30, 2020·Cadernos de saúde pública·Lucas de Oliveira do CoutoAndré Reynaldo Santos Périssé
Jun 11, 2020·Environmental Science and Pollution Research International·Qian DingNi Huang
May 18, 2019·The Science of the Total Environment·Yuanyu XieWenhao Dong
Mar 23, 2021·Environmental Science and Pollution Research International·De ZhouJialing Qi
Jul 17, 2021·Environmental Science and Pollution Research International·Huangyuan TanTianyou Chu

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