Acta Photonica Sinica, Volume. 49, Issue 4, 0404002(2020)

Remote Sensing and Monitoring of Industrial SO2 and Carbon Black Particles with Ultraviolet Imaging Technology

Wei-min DUAN1,2, Yuan-hui XIONG2, Zhen-wei CHEN2, Guang-bao YU1,2, Lin-mei LIU2, Fa-quan LI2, and Kui-jun WU2、*
Author Affiliations
  • 1University of Chinese Academy of Sciences, Beijing 100049, China
  • 2Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, China
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    In order to monitor industrial chimney emissions accurately and effectively, based on the optical properties of SO2 and carbon black particles, a dual-channel ultraviolet imaging remote sensing monitoring system was developed. The center wavelength of the two spectral channels were set at 310 nm and 330 nm, respectively. The SO2 concentration image was obtained by the optical thickness difference of the two channels, and the particles concentration image was obtained by the 330 nm channel. With the plume speed obtained from the density image by the Optical-flow method, the emission rates of SO2 and carbon black particle were calculated from them. The results show that the emission rates of SO2 and carbon black particles from the industrial chimney are 72.48±3.16 kg/h and 6.33±1.18 kg/h, respectively. In this experiment, the SO2 and carbon black particles emitted from industrial chimney were monitored by ultraviolet cameras simultaneously. A high time and spatial resolution was provided with dual-channel ultraviolet imaging remote sensing monitoring in this experiment, and the measurement results are accurate and intuitive. This method has obvious technical advantages and great application prospects in remote sensing of industrial exhaust, ship exhaust and volcanic eruption pollutions.

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    Wei-min DUAN, Yuan-hui XIONG, Zhen-wei CHEN, Guang-bao YU, Lin-mei LIU, Fa-quan LI, Kui-jun WU. Remote Sensing and Monitoring of Industrial SO2 and Carbon Black Particles with Ultraviolet Imaging Technology[J]. Acta Photonica Sinica, 2020, 49(4): 0404002

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    Paper Information

    Category: Detectors

    Received: Nov. 21, 2019

    Accepted: Feb. 17, 2020

    Published Online: Apr. 24, 2020

    The Author Email: WU Kui-jun (wukuijun@wipm.ac.cn)

    DOI:10.3788/gzxb20204904.0404002

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