Journal of Atmospheric and Environmental Optics, Volume. 19, Issue 5, 555(2024)

Investigation of atmospheric NO2 nighttime remote sensing system based on target reflected light

HUANG Xiaohui1, TIAN Xin1,2、*, XIE Pinhua2、**, WANG Zijie1, LI Ang2, XU Jin2, TIAN Wei1, and PAN Yifeng1
Author Affiliations
  • 1Information Materials and Intelligent Sensing Laboratory of Anhui Province, Institutes of Physical Science and Information Technology, Anhui University, Hefei 230601, China
  • 2Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, HFIPS,Chinese Academy of Sciences, Hefei 230031, China
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    Figures & Tables(24)
    Schematic diagram of a nighttime atmospheric NO2 detection device based on target reflected light
    Selection of NO2 differential wavelengths
    Collimation scheme of semiconductor laser beam
    Structure diagram of Newton telescope
    Schematic diagram of NO2 column concentration detection based on target reflected light
    Semiconductor laser spectra at different temperatures
    Variation of the central wavelength (a) and intensity (b) of semiconductor laser with temperature
    Variation of semiconductor laser light intensity (a) and central wavelength (b) with current
    Intensity absorption of λon (a) and λoff (b) at different NO2 concentrations
    Fitting of NO2 differential absorption cross section
    λon and λoff spectra of NO2 sample gas at the concentration of 1620 mg/m3
    Laser reflection spectra of reflective targets with different materials
    Photograph of field experiment
    Laser differential echo signal from 21:00 to 22:15 on August 15, 2022. (a) 21:00; (b) 21:15; (c) 21:30;(d) 21:45; (e) 22:00; (f) 22:15
    The intensity values of echo signals of λon andλoff at different times
    Time distribution of NO2 concentration from 21:00 on August 15 to 05:00 on August 16, 2022
    Comparison of the results measured (a) and hourly averages (b) of data measured by the instrument with the data of environmental monitoring station on August 15, 2022
    Correlation between the results measured by this instrument and the data given by environmental monitoring station
    Comparison of NO2 detection values between the developed system and LP-DOAS on the evenings of October 11 (a) and October 12 (b), 2022
    Correlation between the results measured by this instrument and the data acquired by LP-DOAS
    Variation of NO2 concentration at different altitudes with time. (a) November 5-6, 2022;(b) November 6-7, 2022; (c) November 7-8, 2022
    • Table 1. Light intensity absorption ratio of λon and λoffat different concentrations of NO2 sample gas

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      Table 1. Light intensity absorption ratio of λon and λoffat different concentrations of NO2 sample gas

      NO2 concentration/(mg·m-3)Absorption ratio of λon (ηon)Absorption ratio of λoff (ηoff)ηon/ηoff
      40.50.96160.98360.9777
      1010.94920.97520.9734
      3040.93200.96370.9672
      4050.90860.95520.9512
    • Table 2. Results of ten measurements of blank samples

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      Table 2. Results of ten measurements of blank samples

      Number12345678910
      Concentration/(mg·m-3)31.5627.0526.8829.1326.4231.6229.8025.6332.0527.92
    • Table 3. Deviation between the hourly average results measured by the instrument and the data of environmental monitoring station

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      Table 3. Deviation between the hourly average results measured by the instrument and the data of environmental monitoring station

      Time22:0023:0000:0001:0002:0003:0004:0005:00
      NO2_A/(μg·m-3)29.6032.9133.5231.3232.4337.2440.1638.08
      NO2_B/(μg·m-3)2029322828354543
      Deviation/%47.9013.494.7411.8715.836.4010.7611.45
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    Xiaohui HUANG, Xin TIAN, Pinhua XIE, Zijie WANG, Ang LI, Jin XU, Wei TIAN, Yifeng PAN. Investigation of atmospheric NO2 nighttime remote sensing system based on target reflected light[J]. Journal of Atmospheric and Environmental Optics, 2024, 19(5): 555

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    Paper Information

    Category:

    Received: Jan. 12, 2023

    Accepted: --

    Published Online: Jan. 8, 2025

    The Author Email: Xin TIAN (xtian@aiofm.ac.cn), Pinhua XIE (phxie@aiofm.ac.cn)

    DOI:10.3969/j.issn.1673-6141.2024.05.005

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