Abstract
This study aims to assess spatial patterns of exhaust emission PM2.5 over Asian mega cities with satellite remote sensing and city tra.c modeling. Firstly, aerosol optical depth (AOD) were estimated with MODIS satellite images. Secondly, exhaust emission was modeled by the number and types of cars, exhaust emission .ux of cars, and population density. Thirdly, the temporal patterns of AOD from satellite remote sensing and exhaust emission estimation based on city tra.c modeling was investigated over Asian mega cities. Finally, exhaust emission PM2.5 is evaluated by anthropogenic BC inventory dataset. As a result, it was found that distribution maps of AOD derived from MODIS have consistency with that of PM2.5 calculated from tra.c modeling is similar. However, exhaust emission PM2.5 is not completely similar to anthropogenic BC data quantitively. [This abstract is not included in the PDF]
