基于偏振散射对大气中炭黑颗粒物表征
作者:
作者单位:

清华大学 深圳研究生院 深圳市无损与微创重点实验室,清华大学 深圳研究生院 深圳市无损与微创重点实验室,清华大学 深圳研究生院 深圳市无损与微创重点实验室,清华大学 深圳研究生院 深圳市无损与微创重点实验室,清华大学 深圳研究生院 深圳市无损与微创重点实验室

作者简介:

通讯作者:

中图分类号:

基金项目:

大气污染成因与控制技术研究(2016YFC0208600);重大科学仪器设备开发(2016YFF0103000)


Identification of soot particles in air based on polarization scattering method
Author:
Affiliation:

Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of optical imaging and sensing, Graduate School at Shenzhen, Tsinghua University,Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of optical imaging and sensing, Graduate School at Shenzhen, Tsinghua University,Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of optical imaging and sensing, Graduate School at Shenzhen, Tsinghua University,Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of optical imaging and sensing, Graduate School at Shenzhen, Tsinghua University,Shenzhen Key Laboratory for Minimal Invasive Medical Technologies, Institute of optical imaging and sensing, Graduate School at Shenzhen, Tsinghua University

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    大气中的颗粒物通过散射和吸收改变光的偏振态,分析和测量光的偏振信息可以提供关于颗粒物成分组成的大量重要信息。炭黑是大气中可见光范围内主要的吸收性颗粒物。通过研究,本文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。本文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。

    Abstract:

    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.

    参考文献
    相似文献
    引证文献
引用本文

李达,曾楠,曾毛毛,廖然,马辉.基于偏振散射对大气中炭黑颗粒物表征[J].红外与毫米波学报,2017,36(6):701~705]. LI Da, ZENG Nan, ZENG Mao-Mao, LIAO Ran, MA Hui. Identification of soot particles in air based on polarization scattering method[J]. J. Infrared Millim. Waves,2017,36(6):701~705.]

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2016-12-30
  • 最后修改日期:2017-03-16
  • 录用日期:2017-03-27
  • 在线发布日期: 2017-11-30
  • 出版日期:
文章二维码