基于偏振散射对大气中炭黑颗粒物表征

基于光的偏振散射原理提出了一种对大气中炭黑颗粒物进行表征的测量方法.首先利用偏振光子散射的蒙特卡洛模拟方法寻找表征炭黑颗粒物属性的偏振特征参量,进而通过实验对特征参量进行验证.结果表明,获取的偏振参量对炭黑有较好的表征效果.此外,偏振表征不仅可以兼容现有非偏振散射仪器,提供更多颗粒物属性等信息,还可以减少探测角度,优化探测装置.

Identification of soot particles in air based on polarization scattering method

Particles in the atmosphere change the polarization state of light by scattering and absorption, and analyzing and measuring the polarization information of the light can provide a wealth of important information about the composition of the particulate matter. Soot is the main absorptive particulate matter in the visible light range. Light scattering and absorption in atmosphere can change optical polarization properties. Analysis and Measurement on interaction of polarized light with atmospheric particulates can provide important information to evaluate the atmospheric composition and conditions. In this paper, it was proposed a polarization character focusing on the evaluation of soot content in the air, based on our polarized photon scattering simulation program. The simulation results demonstrate that the polarization parameter at a specific scattering angle can identify the soot particles from the other air pollutants and corresponding experiments classify the preliminary study. Compared with non-polarization optical measurement, polarization characterization can not only be improved from the current non-polarization scattering instrument, but enhance the contrast of distinguishing different type particles and optimize the detection setup.