Abstract:The sensitivities of vertical distribution, particle size distribution and hygroscopic growth, which are factors of influencing in monitoring ground PM2.5 concentrations, were analyzed in this study based on satellite remote sensing data. MODIS AOD (aerosol optical depth) corrected by these factors were compared with synchronous ground PM2.5 concentration measurements during the dry and wet season of 2010 and all the year round in Guangzhou. The results indicated that initial correlations between AOD and PM2.5 concentrations are very low and the correlation coefficient (R) of the year is only 0.147. There are limited improvements if it is only corrected by single factors. Among them, size-corrected factor has the highest sensitivity, followed by vertical-corrected factor. Vertical and size-corrected factor has highest correction effect among the combined factors and the R of the year is up to 0.526. The R of the year reduces to 0.498by the vertical-size and RH-corrected method. The vertical and RH-corrected factor has lowest correction effect and the R of the year is only 0.145. Overall, the vertical and size-corrected factor has the highest sensitivity and the best effect. The correction effect enhances significantly by added size factor. Experimentally, the hygroscopic growth factor has simple representation of space and time.
刘显通, 李菲, 谭浩波, 邓雪娇, 麦博儒, 邓涛, 李婷苑, 邹宇. 基于卫星遥感资料监测地面细颗粒物的敏感性分析[J]. 中国环境科学, 2014, 34(7): 1649-1659.
LIU Xian-Tong, LI Fei, TAN Hao-Bo, DENG Xue-Jiao, MAI Bo-Ru, DENG Tao, LI Ting-Yuan, ZOU Yu. Analysis of sensitivity of monitored ground PM2.5 concentrations based on satellite remote sensing data. CHINA ENVIRONMENTAL SCIENCECE, 2014, 34(7): 1649-1659.