Zhang Ying-Lei, Cui Xi-Min
College of Geoscience and Surveying Engineering, China University of Mining & Technology(Beijing), Beijing 100083, China.
Huan Jing Ke Xue. 2020 Jun 8;41(6):2617-2624. doi: 10.13227/j.hjkx.201909273.
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.
以长江三角洲为研究区域，利用地基气溶胶机器人网络（AERONET）观测数据评估了Terra-MODIS C061深蓝算法（DB）气溶胶光学厚度（AOD）产品的适用性。结果表明，Terra-MODIS C061深蓝算法（DB）气溶胶光学厚度（AOD）与AERONET AOD之间的相关性较高（0.95）。利用2000年至2018年的MOD04_L2产品分析了研究区域2000年至2018年AOD和Ångström指数（AE）的空间分布特征和时间变化特征。结果表明，长江三角洲地区的AOD呈“东部和北部平原高、南部和西部山区低”的分布。AE呈“北部低、南部高”的格局。在时间分布方面，2003年至2007年，年平均AOD显著增加，增长率为23%。2011年以后，AOD呈下降趋势。2001年至2003年，AE年平均值迅速增加，而2012年以后，AE逐渐下降。长江三角洲地区AOD呈现明显的季节变化，夏季值高，冬季值低。在所有月平均值中，6月观测到的AOD最高（0.84），8月观测到的最低（0.40）。季节平均AE秋季高，春季低。在所有月平均值中，9月观测到的AE最高，为1.47，3月观测到的最低，为1.08。根据AOD与AE的关系对长江三角洲地区的气溶胶类型进行了研究。结果表明，城市工业气溶胶是该地区的主要气溶胶类型，其次是混合型和清洁大陆气溶胶。
