ABSTRACT
Considering the Yangtze River Delta as the research region, the applicability of the Terra-MODIS C061 deep blue algorithm (DB) AOD products was evaluated using Aerosol Robotic Network (AERONET) ground-based observations. The results demonstrated that the correlation between Terra-MODIS C061 deep blue algorithm (DB) aerosol optical depth (AOD) and AERONET AOD was high (0.95). Characteristics of spatial distribution and temporal variation of AOD and Angström exponent (AE) from 2000 to 2018 in the study area were analyzed using MOD04_L2 products from 2000 to 2018. The results showed that the AOD in the Yangtze River Delta was distributed as "eastern and northern plains high and southern and western mountains low". The AE showed a "northern low and south high" pattern. In terms of temporal distribution, from 2003 to 2007, the annual average AOD increased significantly, with a growth rate of 23%. After 2011, the AOD showed a downward trend. From 2001 to 2003, the annual average of AE rapidly increased, while after 2012, the AE decreased gradually. The AOD showed obvious seasonal changes in the Yangtze River Delta region, with high values in summer and low values in winter. The highest AOD was observed in June (0.84) in all monthly averages, while the lowest was observed in August (0.40). The seasonal average AE was high in autumn and low in spring. The highest AE of 1.47 was observed in September in all monthly averages, and the lowest of 1.08 was observed in March. Aerosol types in the Yangtze River Delta region were investigated according to the relationship between AOD and AE. The results suggested that the urban industrial aerosol was the main aerosol type in the region, followed by mixed type and clean continental aerosols.
