基于气溶胶和云光学特性库(OPAC)以及灰霾的地基研究结果,研究了水溶型(WASO)、黑碳型(BC)、沙尘型(DUST)及伴随雾云生消产生的亚微米细粒子(SubM)4 种类型的灰霾组分.利用米氏理论计算了各组分的消光系数、散射相函数、偏振相函数等光学特性,并分析了相对湿度(RH)对水溶型粒子光学特性的影响,利用辐射传输(RT3)模拟了卫星观测到的各灰霾组分多角度标量和偏振信号.结果表明：在大部分卫星观测角度,WASO 和SubM的标量信号较强,而BC 和WASO 的偏振信号较强；随着RH 的增加,WASO 粒子的消光系数有着较大的增长,而散射相函数和偏振相函数则随之整体减小,这种变化主要是由于粒子半径吸湿增大引起的.因此,为实现灰霾的遥感反演,需结合多角度偏振和标量观测信号.

Based on optical properties of aerosols and clouds (OPAC) and ground- based measurements,four typical haze components included water soluble (WASO),soot (BC),dust (DUST) and sub- micron (SubM)components.By Mie theory,their extinction,scattering phase function,polarized phase function are calculated,and for water soluble particle,these parameters are calculated in different relative humidities(RHs).Then,multi- angle intensity and polarized signals,which are received by the satellite,are simulated for these haze components by RT3 (radiative transfer 3).The results show that scalar signal intensities of WASO and SubM are larger than others in most satelite observation angles,while polarized signal intensities of BC and WASO are obviously larger than the others.As the increasing of RH,the extinction of WASO will increase while scattering and polarized phase function will decrease entirely,and the main reason is the hygroscopic growth of particle radius.So,for remote sensing inversion of haze,multi-angle polarized measurements will be assisted by multi-angle intensity measurements.